bluuebunny/crossref_metadata_2025 huggingface dataset:
Production theory for constrained linear activity models
Authors: Lahiri Somdeb
Published: April 2023

Цель статьи — расширить рамки анализа операций, которые обсуждались в статье Антонио Виллара без каких-либо требований к размеру матриц. В его работе была введена модель анализа операций, в которой операции могут иметь (или не иметь) ограничений по мощности. Мы применяем обычные приемы анализа затраты–выпуск при определении количества товара внешним для сектора производства (или обрабатывающей промышленности) потребителям и рассматриваем его как конечный спрос. Мы получили сходные с А. Вилларом результаты об алгоритмической разрешимости, незамещаемости и существованию эффективных цен. Мы применили наш анализ и результаты к двухпериодной модели анализа многосекторальной деятельности с ограничениями по мощности. Матрица операций представляет собой разницу между неотрицательной матрицей коэффициентов выпуска и неотрицательной матрицей коэффициентов затрат при том, что коэффициенты были определены в денежных единицах для каждого вида деятельности. Почти все результаты, полученные к настоящему времени, представлены в таком макроэкономическом контексте. Тем не менее, необходимы некоторые изменения формулировок для проблем, относящихся к существованию равновесного вектора цен и — как следствие — к вопросам, относящимся к эффективности цен через теоремы о незамещаемости. Соответствующие концепции применяются здесь и к векторам уровней инфляции.
Oil in the age of coronavirus: Hysteria or appropriate fall?
Authors: Nepp Aleksandr
Published: April 2023

We look at the oil price fall in the beginning of 2020 and the effects of coronavirus and the attention towards it on these prices. Such a fall was observed at multiple markets simultaneously with the spread of coronavirus and the panic around it, and oil market wasn’t an exception. Using OLS time series models, we investigate — what was the main reason behind such a fall — the coronavirus pandemic itself or rather the attention towards it. We prove the absence of straight effects of the COVID-19 itself on oil prices. At the same time we find significant negative impact of the attention towards COVID-19 on the Internet search on the oil prices. We investigate the role of the OPEC in mitigating the negative impact of coronavirus and the attention towards it. We found that after the OPEC summit both the number of Covid cases and the attention towards the disease lost its influence on oil prices. Our paper is relevant for the behavioral finance researchers, as well as for those who look at the influence of informational shocks on different markets and particularly, on the oil market and at the effect of the COVID-19 on the economy.
Approximation to portfolio liquidation value with calculation of its skewness
Authors: Balabushkin Aleksander
Published: April 2023

A boundary problem for a homogeneous multidimensional diffusion process is considered under the assumption of small perturbations. Approximations to the mean, second and third central moments of the process at the moment of the first crossing a given plane in phase space are presented as a solution of ordinary differential equations with an additional transformation (“projection onto the boundary”). The quantile of a linear combination of coordinates is estimated by the second order expansion in powers of a small parameter determining the magnitude of perturbations. In the first approximation, this expansion corresponds to the Gaussian distribution, the next term contains skewness. The result is extended to a process with multiple boundaries, upon reaching each of them the equation of the process changes. Such a model describes the liquidation of a portfolio of financial instruments in which the closing rate of each of the positions is a random process. The result is illustrated by two examples. In the first example a portfolio consists of linear instruments (such as stocks, futures), prices are correlated Geometric Brownian Motions with zero drift. The closing rates are constant, but with random noise due to daily fluctuations in trading volume. In this particular case approximations for the mean, variance, skewness, VaR and CVaR of the financial result of portfolio liquidation are given explicitly. In the second example, the liquidation of an exchange-traded option position is considered under the assumption that the closing rate depends on the ratio of the underlying price to the strike of the option. Numerical calculations demonstrate that taking into account skewness significantly increases the accuracy of estimates.
Синергія творчої діяльності режисера та сценографа
Authors: Сорока Марина , Мошкіна Олександра , Сухомлин Ганна
Published: April 2023

Стаття присвячена дослідженню проблематики творчої взаємодії театрального режисера та художника, виявленню їх взаємовпливу в процесі роботи над постановкою вистави. Метою дослідження є виявлення напрямів розвитку взаємозалежних і необхідних професійних відносин у творчому тандемі режисер – сценограф та визначення принципів успішної спільної творчості в союзі театрального художника й режисера на прикладі провідних постановників українського театру ХХ – початку ХХІ ст. Методологія дослідження передбачає застосування таких методів, як системний – для розгляду об’єкта дослідження як відкритої системи з власною сутнісною автономією; історико-культурний – для розгляду проблематики мистецької взаємодії режисера та сценографа в контексті історичного розвитку українського театру; синергетичний – для вивчення творчого процесу, що полягає у співпраці двох митців для досягнення єдиної мети – створення цілісного сценічного образу; емпіричне дослідження – для вивчення літературних джерел, дослідження наявних зразків творчої взаємодії театрального режисера й художника та ін. Наукова новизна. На основі дослідження найвідоміших творчих тандемів режисер – сценограф українського театру за останнє століття, таких як Лесь Курбас та В. Меллер, С. Данченко та Д. Лідер, І. Уривський та П. Богомазов, виявлено різноманітні професійні погляди на творчу кореляцію режисури й сценографії. Висновки. З’ясовано, що в контексті цільового налаштування театральної творчості з позиції творчого тандема режисер – художник для українського театру характерне використання двох діаметрально протилежних варіантів: створення художнього оформлення сценічного простору вистави відповідно до режисерського задуму та створення сценографії, яка гіпотетично може стати основою прочитання сценічного твору. Історія українського театру засвідчує якісні зміни професійних стосунків між режисером і сценографом – еволюцію від співучасті (фрагментарного залучення художника в процес постановки) до співтворчості (творчої взаємодії). Творча взаємодія, синтез креативних ідей у процесі створення цілісного художнього образу вистави лишається основним принципом і найбільш плідним підходом до співпраці режисера та сценографа. Основоположним принципом кореляції режисера й сценографа є синергія.
CAES Compressed Air Energy System: Dynamic Simulation & Optimization
Authors: Capata Roberto
Published: April 2023

Abstract: A CAES (Compressed Air Energy System) plant can be considered as a storage system. The purpose is to store air under pressure and then use it, when required, to generate energy. The system is composed of a series of compressors and heat exchangers and the architecture of the plant aims to reduce compression work and improve storage efficiency. The storage tank can be different depending on the case and the final use, so a cave, a combustion chamber or an expander. Currently the plants that have been built are in Germany (plant built in 1978 with a rated power of 290 MW) and in the USA (built in 1991 with a rated power of 110 MW). In both configurations, the plants use saline caves as reservoirs. Lately, different types of plant are being studied, but they are still in the design phase.

The objective of the present work is, through a steady-state and then a dynamic simulation, to analyze the positive aspects of this technology and its criticalities, trying to optimize its layout. In addition, through a comparison with the few data available on existing plants, create a database of great interest for researchers and experts in the field. Finally, evaluate, based on the data obtained, the possible developments of technology in the context of the "low carbon transition" through the possible use of renewable sources, such as solar photovoltaic, wind and so on.
ANTI-CRISIS MANAGEMENT OF THE SOCIO-ECONOMIC SYSTEMS UNDER THE POST-WAR PERIOD UNCERTAINTY
Authors: TYURINA Nila , NAZARCHUK Tatiana , HURNYTSKYI Oleksii ,   Khmelnytskyi National University
Published: April 2023

The article analyses main indicators reflecting the state of Ukraine’s economy during the war. We studied the core approaches to the formation of economic policy, development strategy and management of Ukraine economy in the pre-war period. The priorities of the country’s modern economic policy were defined and the necessary structural changes of the national economy, the main components of impact on its effective development in the post-war period, were determined. The goals and content of the post-war recovery plan for Ukraine’s economy were studied. Strategically important industries for the post-war economy of Ukraine, attractive directions for foreign investment and the main components of recovery and development were defined: international support, effective investment policy, modern reorganisation and restructuring of the economy. In order to get out of the micro-level socio-economic systems crisis primary measures of the anti-crisis plan have been formed. Three stages of the crisis have been identified and tasks and functions for the anti-crisis team of business structures have been specified. Changes in HR management in the anti-crisis management system of business entities in the war and post-war periods were analysed, the most important modern anti-crisis HR tools were formulated and characterised.
ANALYSIS OF THE USE OF PROJECT MANAGEMENT TOOLS BY UKRAINIAN COMPANIES
Authors: OLEKSYUK Hanna , POPADYNETS Nazariy ,   Scientific-Educational Institute of Entrepreneurship and Perspective Technologies of Lviv Polytechnic National University, PITYULYCH Mykhailo ,   State University “Uzhhorod National University”
Published: April 2023

The socio-economic condition of Ukraine undergoes fundamental changes caused by the nine-year-long enemy’s aggression, especially the last year after the large-scale invasion of the country’s territory by russian troops in February 2022. The article aims to detect and examine the features of innovative entrepreneurship’s impact on the socio-economic development of regions and territories as an element of strategic management during the country’s post-war recovery based on the preparation for Ukraine’s accession to the European Union. On the example of strategic planning of the Lvivska Oblast development, the article addresses the conceptual approaches to regional development management from the viewpoint of innovative entrepreneurship as an essential element of economic growth. Major parameters of innovative activity of Lvivska and Ivano-Frankivska oblasts regional level are analyzed. The dynamics and structure of the main funding sources for R&D expenditures and the types of economic activity in Lvivska Oblast that have innovation capacity are examined, including smart specialization, creative industries, and bioeconomy. The problems that restrain innovative processes on national and regional levels and might affect the development of industries with high added value during the country’s recovery and reconstruction in the post-war period and on the way of preparation for Ukraine’s accession to the European Union are outlined. The article emphasizes the lack of efficient communication between science, businesses, and authorities, requiring more thorough analysis and development of tools to improve the mechanisms of interaction in the innovative market. Special attention is paid to the need to improve, measure, and estimate statistical parameters of innovative activity formed by the participants of the innovative process at all management levels.
Cerita Legenda Desa Pulorejo dalam Kaitannya dengan Pembelajaran Sastra di Sekolah Dasar
Authors: Wann Nurdiana Sari  , Mohammad Khanzunnudin
Published: April 2023

Banyaknya cerita rakyat lokal yang belum dikaitkan dengan proses pembelajaran sastra di sekolah dasar. Sehingga guru perlu mengaitkan cerita rakyat lokal yang dapat dikaitkan dengan materi cerita non fiksi.  Penelitian ini bertujuan untuk mendeskrpsikan asal usul cerita rakyat Desa Pulorejo dan mendeskripsikan kaitannya dengan pembelajaran sastra di Sekolah Dasar. Metode penelitian ini yaitu kualitatif dengan objek penelitiannya yaitu cerita rakyat asal usul Desa Pulorejo. Teknik pengumpulan data dengan menggunakan observasi, wawancara, dokumentasi, dan pencatatan. Instrumen wawancara dilakukan dengan guru dan siswa, observasi dilakukan mengenai proses pembelajaran. Subjek penelitian ini yaitu masyarakat Desa Pulorej sebanyak 3 orang.. Analisis data yang digunakan yaitu dengan menggunakan teknik deskriptif. Berdasarkan hasil analisis data dari penelitian ini diperoleh data bahwa asal usul Desa Pulorejo bermula pada perjalanan wanita bernama Murah yang berparas cantik dan pandai bernyanyi serta menari. Kelebihan tersebut membuat para pemuda yang melihatnya jatuh hati. Kaitannya cerita rakyat asal usul Desa Pulorejo dengan pembelajaran sastra di Sekolah Dasar yaitu bida menjadi cara lain dalam penyampaian materi cerita rakyat untuk kelas VI SD semester 1 dalam Standar Kompetensi yang menjadi tujuan pembelajaran yaitu “Mendengarkan” menentukan unsur-unsur intrinsik dalam cerita rakyat yang sesuai dengan Kompetensi Dasar. Metode yang digunakan pada kegiatan pembelajaran yaitu metode ceramah, diskusi, tanya jawab, maupun penugasan. Kesimpulan dari penelitian ini yaitu cerita rakyat asal usul Desa Pulorejo dapat dikaitkan dengan pembelajaran sastra di sekolah dasar.
Role Model Siswa Dalam Penentuan Karir Remaja
Authors: Ghani Rifki Abdul , Saripah Ipah , Nadhirah Nadia Aulia
Published: April 2023

Remaja yang masih belum memiliki keputusan karirnya akan menghambat pada perencanaan karir yang menjadikan siswa remaja kebingungan dalam memilih arah karir setelah lulus sekolah. Siswa seringkali sulit untuk memutuskan apakah akan melanjutkan studi atau tidak. Untuk mengantisipasi hal tersebut dibutuhkan faktor pendorong agar siswa mampu menentukan karirnya. Dalam mencapai tujuan tersebut diperlukan bekal yang harus dimiliki setiap individu, seperti penguasaan kemampuan dan aspek yang menunjang kesuksesan karir. Dalam menentukan pilihan karir tak jarang faktor eksternal menjadi pertimbangan seseorang dalam merencanakan karir mereka. Salah satu contoh dari faktor eksternal yang ikut berperan dalam perencanaan karir remaja adalah role model. Tujuan penelitian ini adalah untuk mengetahui peran role model siswa yang dapat membantu dalam penentuan karir remaja. Metode yang digunakan dalam penelitian ini menggunakan Systematic Literature Review dari jurnal maupun prosiding yang membahas mengenai role model dan penentuan karir remaja. Hasil penelitian membuktikan bahwa role model berperan dalam penentuan karir siswa, melalui role model siswa dapat langsung meneladani seorang role model dan siswa dapat mengikuti jejak yang sama dengan role model yang diteladani.
Kemampuan Berpikir Reflektif Matematis dalam Menyelesaikan Soal Barisan dan Deret
Authors: Putra Aditya Prayoga Oktora , Hakim Dori Lukman
Published: April 2023

Kemampuan berpikir tingkat tinggi diantaranya adalah berpikir reflektif. Kemampuan berpikir sangat dibutuhkan dalam pembelajaran matematika, agar siswa mampu memahami konsep-konsep matematika yang mereka pelajari serta mampu menggunakan konsep-konsep tersebut dengan tepat, satu diantaranya adalah ketika siswa harus mencari solusi dari berbagai permasalahan matematika. Oleh karena itu, artikel ini bertujuan untuk mendeskripsikan kemampuan berpikir reflektif matematis siswa kelas XII SMA dalam menyelesaikan soal barisan dan deret. Subjek dari artikel ini adalah tiga siswa kelas XII MIPA di salah satu SMA yang ada di Kabupaten Karawang. Kemudian subjek dikategorikan berdasarkan kemampuan tinggi, sedang dan rendah. Untuk mengukur kemampuan berpikir reflektif matematis maka digunakan tiga indikator, yaitu mendeskripsikan situasi atau masalah matematik, menginterpretasi, dan membuat kesimpulan. Adapun hasil yang diperoleh, yaitu pada mengidentifikasi situasi atau masalah matematik telah dikuasi oleh ketiga siswa dengan ketepatan dan kelengkapan yang berbeda-beda. Sedangkan pada menginterpretasi belum ada yang memenuhi satu siswa pun. Sementara pada membuat kesimpulan hanya dipenuhi oleh S-2.
Media Pembelajaran Pop Up Book Untuk Meningkatkan Hasil Belajar IPA Siswa Sekolah Dasar
Authors: Resta Reres Gita , Kodri Safril
Published: April 2023

Penelitian ini bertujuan untuk  mengetahui adakah Pengaruh Media Pembelajaran Pop Up Book terhadap hasil belajar siswa kelas V SDN Ciangsana 04 Bogor. Penelitian ini merupakan jenis penelitian kuantitatif dengan metode penelitian yang digunakan yaitu metode quasi eksperimen. Populasi pada penelitian ini adalah kelas V SDN Ciangsana 04 Bogor dengan sampel penelitian yaitu siswa kelas V SDN Ciangsana 04 Bogor, yang terdiri dari 2 kelas, yaitu kelas V A yang berjumlah 29 siswa, sebagai kelas eksperimen, dan dan kelas V B yang terdiri dari 25 siswa, sebagai kelas kontrol. Dengan media pembelajaran pop up book dan dikelas kontrol menggunakan media pembelajaran konvensional. Pada penelitian ini alat pengumpul data yang digunakan adalah tes pilihan ganda berjumlah 20 soal yang telah diuji validasi. Hasil penelitian ini menunjukkan bahwa hasil belajar di kelas VA yang menggunakan media pembelajaran pop up book memiliki nilai rata-rata sebesar 92,321 sedangkan pada kelas V B yang menggunakan media pembelajaran konvensional memiliki memperoleh nilai rata-rata sebesar 82,5. Dari hasil perhitungan uji perbedaan dua kelompok bebas diperoleh hasil bahwa hasil belajar kelompok siswa yang menggunakan media pop up book lebih baik dibandingkan kelompok siswa yang menggunakan media pembelajaran konvensional. Maka berdasarkan kriteria pengujian H0 ditolak dan H1 diterima. Berdasarkan hasil tersebut maka kesimpulan dari penelitian ini adalah media pembelajaran pop up book dapat meningkatkan hasil belajar siswa kelas v di sdn ciangsana 04 bogor.
Museum Pahlawan Nasional A.K. Gani Sebagai Sumber Sejarah Lokal Dalam Pembelajaran Sejarah
Authors: Lestari Nurul Monica , Susanti L.R. Retno
Published: April 2023

Sejarah lokal merupakan jenis pembelajaran sejarah yang wajib diketahui peserta didik sebagai bagian dari masyarakat. Melalui sejarah lokal, peserta didik dapat mengenal persitiwa masa lalu yang terjadi pada suatu wilayah secara terstruktur dan terperinci. Penelitian ini bertujuan untuk menganalisis peran museum sebagai sumber belajar sejarah lokal, dalam hal ini ialah Museum Pahlawan Nasional A.K.. Penelitian ini menguraikan latar belakang berdirinya Museum Pahlawan Nasional A.K., koleksi yang ada di dalamnya, hingga pemanfaatan museum tersebut sebagai sumber sejarah lokal dalam pembelajaran. Penelitian ini menggunakan metode penelitian kualitatif dengan pendekatan deskriptif. Penelitian berlokasi di Museum Pahlawan Nasional A.K., Kota Palembang. Teknik pengambilan data menggunakan wawancara, observasi dan dokumentasi dengan sumber data adalah tenaga pengajar SMA Negeri 13 Palembang dan buku, artikel, internet, foto, serta dokumentasi lainnya. Hasil penelitian menunjukkan bahwa pembelajaran sejarah lokal di SMA Negeri 13 Palembang yang memanfaatkan Museum Pahlawan Nasional A.K. sebagai sumber belajar mendorong keaktifan peserta didik. Selama pembelajaran di museum, peserta didik menjadi lebih aktif, memiliki semangat belajar yang tinggi, tidak bosan atau jenuh dengan pelajaran sejarah yang hanya berupa teori saja, menambah sikap sosial, serta peserta didik mengaktifkan semua inderanya dalam kegiatan ekplorasi, mulai dari penelusuran, pengamatan, wawancara dengan tokoh narasumber hingga melakukan dokumentasi.
The Correlation between Students’ Reading Motivation and Reading Comprehension at Eighth Grade Students Level
Authors: Radiyah Radiyah , Astrid Annisa , Husnaini Husnaini
Published: April 2023

The purposes of this research were to find out: (1) there was a correlation between students’ reading motivation and reading comprehension of students at eighth grade level in Palembang, (2) How much motivation contributed to reading comprehension of students at eighth grade level in Palembang. The population of this research was three private schools in Palembang (SMP Islam Az-Zahrah 1 Palembang, SMP IT Harapan Mulia Palembang, and SMP Tarbiyah Palembang) which consisted of two hundred ten students. And then, one hundred ten students were selected as the sample using the convenience sampling technique. The data were collected by using MRQ questionnaire by Wang and Guthrie (2004) and a reading comprehension test. Pearson Product Moment and regression analysis were used to determine the correlation and the contribution between the two variables. The result showed a correlation between reading motivation and reading comprehension with r (.257). Besides, there was also the contribution of reading motivation and reading comprehension with 6,6%. This research could have implications for English teachers, students, and subsequent researchers.
Perbandingan Latihan Zig-zag Run dan Ladder Drill Dalam Meningkatkan Keterampilan Dribbling
Authors: Juliansyah Raditya , Nurudin Ahmad Alwi , Nugraheni Wening
Published: April 2023

Penelitian ini dilatar belakangi rendahnya keterampilan dribbling pada peserta ektrakulikuler futsal di SMPN 4 Kota Sukabumi. Penelitian ini bertujuan untuk melihat perbedaan metode latihan zig-zag run dan ladder drill dalam meningkatkan keterampilan dribbling peserta ektrakulikuler futsal. Metode penelitian ini menggunakan metode kuantitatif dengin jenis eksperimen. Desain penelitian menggunakan teknik pretest-posttest control group design. Penelitian ini dilaksanakan di SMPN 4 Kota Sukabumi dengan sampel peserta ektrakulikuler futsal sebanyak 22 orang. Dalam mengumpulkan data, penelitian ini mengunakan instrumen tes keterampilan dribbling. Hasil dari penelitian yang telah dilakukan menunjukkan bahwa baik Latihan zig zag run maupun ladder drill berpengaruh secara signifikan dalam meningkatkan keterampilan dribbling pada peserta ektrakulikuler futsal. Namun peningkatan keterampilan dribbling dengan menggunakan dua metode ini berbeda, dengan ladder drill sebesar 6% sedangakan zig-zag run sebesar 5%. Kesimpulan dari penelitian ini adalah latihan ladder drill lebih baik dibandingkan zig-zag run dalam meningkatkan keterampilan dribbling.
Pengaruh Penerapan Kurikulum Merdeka Tehadap Hasil Belajar IPS Ditinjau Dari Perbandingan Kurikulum 2013
Authors: Oktaviani Anna Maria , Marini Arita , Zulela MS Zulela MS
Published: April 2023

Penelitian ini bertujuan untuk mengetahui pengaruh kurikulum merdeka pada mata pelajaran IPS yang ditinjau dari kurikulum 2013. Penelitian ini dilakukan di SDN Cipocok Jaya 1 Kota Serang tepatnya di kelas Va dan Vb yang berjumlah 61 siswa. Penentuan sampel menggunakan Sampling Random yang  memungkinkan seluruh jejang kelas menjadi sampel penelitian, berdasarkan hasil undi terpilihlah kelas V SDN Cipocok Jaya 1 yang menjadi sampel penelitian. Instrumen penelitian yang digunakan adalah lembar wawancara dan dokumentasi. Analisis data menggunakan teknik analisis Inferensial yang digunakan yakni uji t, yang digunakan  adalah paired  sampel  t-test.  Teknik  uji  t  yang  dilakukan  menggunakan  pengolah  data statistical package  for  social  scince(SPSS)  versi  22 for  windows. Hasil penelitian menunjukan bahwa Pengaruh terhadap penerapan kurikulum merdeka belajar terhadap hasil belajar IPS di SDN Cipocok Jaya 1 Kota Serang yang diharapkan guru dapat mengembangkan segala aspek pengembangan diri untuk merdeka mengajar agar dapat menciptakan merdeka belajar bagi siswa.
Media Pembelajaran Audiovisual Untuk Meningkatkan Hasil Belajar Siswa Sekolah Dasar
Authors: Nurcahyanti Rosa Meilina , Tirtoni Feri
Published: April 2023

Penelitian ini dilakukan karena berdasarkan studi lapangan ditemukan rendahnya hasil belajar siswa kelas V SD Negeri Sugihwaras pada mata pelajaran IPS. Penelitian ini bertujuan untuk meningkatkan hasil belajar IPS siswa kelas V di SDN sugihwaras dengan menggunakan media pembelajaran audio visual. Penelitian ini menggunakan metode Pre – Eksperimental Design dengan desain penelitian One Grup Pretest – Posttest Design.  Penelitian ini dilaksanakan pada tahun 2022 dengan jumlah sampel adalah 30 siswa kelas VSDN Sugihwaras. Instrumen penelitihan yang digunakan berupa Pretest – Posttest hasil belajar siswa. Teknik analisis data penelitian menggunakan uji perbedaan rata-rata dua sampel berpasangan. Hasil penelitian menunjukkan nilai rata – rata data post test lebih besar dibandingkan rata-rata pretest. Sedangkan hasil pengujian perbedaan rata-rata menunjukkan bahwa antara data pre-test dan post-test memiliki perbedaan yang signifikan. Hasil tersebut menunjukkan bahwa hasil belajar siswa setelah menggunakan media audiovisual lebih baik dibandingkan sebelumnya. Kesimpulan dari penelitian ini adalah penggunaan media audiovisual terbukti dapat meningktkan hasil belajar IPS siswa kelas V di SD Negeri Sugiwaras Candi.
Dampak Permainan Game Online Terhadap Prestasi Belajar Siswa Sekolah Dasar
Authors: Prasetyo Aji , Rondli Wawan Shokib , Ermawati Diana
Published: April 2023

Penelitian ini bertujuan untuk mengetahui dampak game online terhadap prestasi belajar siswa kelas 5 SDN Sembaturagung 01 Kecamatan Jakenan Kabupaten Pati. Penelitian ini menggunakan pendekatan kualitatif dengan jenis penelitian studi kasus. Penelitian ini akan dilakukan di SDN Sembaturagung 01 Kecamatan Jakenan Kabupaten Pati dengan mengambil subjek orang tua, guru dan anak sebagai subjek penelitian. Penelitian ini menggunakan teknik pengumpulan data yang meliputi observasi, wawancara dan dokumentasi. Analisis data yang digunakan yaitu analisis data interaktif. Hasil penelitian ini menunjukkan bahwa dampak game online terhadap prestasi belajar siswa mengalami penurunan prestasi belajar. Selain itu berdampak pada cara bicara, Kesehatan mata dan pendengaran berkurang, tidak bisa membagi waktu dan sikap yang kurang sopan. Simpulan penelitian ini menunjukkan bahwa game online berdampak bagi siswa yang apabila di lanjutkan akan mempengarui prestasi belajar semakin berkurang, dengan factor pendukung lingkungan sekitarnya yang kurang baik. Saran saya adalah orang tua harus lebih memperhatikan anak khususnya pada saat belajar dan mengontrol proses belajar siswa. Bagi guru bisa berkomunikasi dengan orang tua saat anaknya bermasalah, dan untuk penelitian selanjutnya semoga penelitian ini bermanfaat bagi para peneliti.
Expression of Ki 67 and P53 immunohistochemical markers in central nervous system astrocytoma
Authors: Mahmood Mahmood Sh. , Kadhim Al – Khafaji Khitam R.
Published: April 2023

Background: Astrocytic tumors are the most common primary tumors of the central nervous system. Several grading systems are used to grade astrocytomas. The most widely used system is the World Health Organization (WHO) classification (1979, 1993, 2000, and 2007) that grades astrocytomas (I-IV) based on cytological atypia, mitotic activity, vascular proliferation, and necrosis: pilocytic astrocytoma (grade I), diffuse astrocytoma (grade II), anaplastic astrocytoma (grade III), and glioblastoma (grade IV).Objectives: The aim of this study is to evaluate p53 over expression , Ki-67 expression in astrocytomas and Correlate these two markers with histologic grade of astrocytomas.Methods: Formalin fixed, paraffin-embedded blocks from 40 patients with brain astrocytoma included in this retrospective study. LSAB (Labeled Strept-Avidin, Biotin) method was employed for immunohistochemical detection of Ki – 67 and P53.Results: P53 was detected in (25%) of the cases and was signiﬁcantly positively correlated with grade IV. Ki-67 labeling index was (>5%) in (50%) of the cases. Both biomarkers were positively correlated with each other, and the grade of astrocytoma; however, Ki67 is a better marker for differentiating (diagnostic marker) between the grades of astrocytoma than p53.Conclusion: P53 overexpression and ki-67 expression plays an important role in pathogenesis of astrocytoma evolution, as they positively associated with higher tumor grade.
The prognostic role of p-53 protein Immunohistochemical expression in multiple myeloma
Authors: Abdullah Muna A. , Jaafar Abdulkareem M. , ALsaadawi Adel R.
Published: April 2023

Background: Several factors render multiple myeloma (MM) an interesting subject for study by researchers. These include marked progress in understanding the molecular biology of normal and neoplastic plasma cells and recent advances in molecular genetics techniques. Among molecular markers, p-53 cancer suppressor gene have been widely studied.Aim: is to correlate p-53 protein expression in multiple myeloma, as examined by immunohistochemical method, with some pathological and clinical parameters (Clinical stage and cytological grade).Patients and methods: This is a retrospective study; whereby archival paraffin-embedded BM tissue blocks along with the clinical and hematological records of fifty patients (29 males and 21 females), with multiple myeloma and twenty controls were obtained from the Department of Hematology of the Medical City Teaching Laboratories in the period from April 2012 to April 2014. P-53 was studied by immunohistochemical staining.Results: There was a significant positive linear correlation between increasing scores of p-53 and advancing clinical stages of disease. There was a significant positive linear correlation between increasing scores of p-53 and decreasing maturity of plasma cells.Conclusions: Multiple myeloma patients with advanced clinical stages and immature plasma cell morphology had high p-53 scores. Since the above-mentioned factors are known independent prognostic factors, p-53 expression can readily be adopted to identify myeloma patients with an adverse prognosis.
Association between Leukemia and Exon 2 CD19 Gene Variants in a sample of Iraqi Patients
Authors: Ahmed Najwa Sh. , Al –Hadeithi Zeina S. M. , Nada Saad M. , Hadi Yasameen Ali
Published: April 2023

Background: The human CD19 (Cluster Differentiation) antigen is a 95 kd transmembrane glycoprotein belonging to the immunoglobulin superfamily. CD19 gene located on the short arm of chromosome 16p11.2 (P: petit). CD19 is a member of the Ig immunoglobulin superfamily expressed on the surface of B lymphocytes, and may play a pivotal role in B-cell differentiation and activation. Research suggests that mutations in a gene CD19 leads to a lack of expression of CD19 membrane and result in an antibody deficiency syndrome.Objective: The aim of this work is to study the mutations in Exon 2 CD19gene in leukemia patients in Baghdad/Iraq.Patients and Methods: This cross sectional study was performed in the National Center of Hematological Diseases/Al Mustanisyria University. Blood samples were collected from 50 leukemia patients including (25 acute lymphocyte leukemia ALL and 25 chronic lymphocyte leukemia CLL) and 50 samples of apparently healthy individuals. DNA was isolated and the CD19 gene was amplified by using specific primers for exon2 of this gene. The nucleotide sequences of CD19 gene was according to Macro gene company, USA. Analysis was done using BLAST program which is available online at (http:// www.ncbi.nlm.nih.gov) and BioEdit program.Results: The DNA sequencing results of flank sense of CD19 gene from healthy individual was found to be compatible 100% with wild type of Homo sapiens from the Gene Bank, while 99% compatibility was found for that gene of all ALL and CLL patients with wild type of gene. The difference was attributed to insertion of 1900 C nucleotide in position +48 of exon 2 of CD19 gene resulted in the replacement of a serine (TCC) residue into isoluseine (ATC), and deletion 1904 C in position + 49 of exon 2. This mutation resulted in change of codon from GCA to GCC but there was no changes in the amino acid (Alanine to Alanine). The second mutation (Deletion nucleotide) amended the first mutation effect (Insertion nucleotide) and did notlead to a change of all the amino acid sequence (framshift). The results showed that the incidence of insertion and deletion mutation at position +48 and +49 in exon 2 of CD19 gene and leukemia was highly significant (X2 = 15.75, P<0.01).Conclusion: This study suggests that the ploymrphism in exon 2 of the CD19 gene is strongly associated with leukemia patient of Baghdad population.
Safety culture as competitive advantage for slovenian natural health resorts
Authors: Mekinc Janez , Repnik Sebastjan , Edgar David , Trnavčević Anita , Kodrič Borut
Published: April 2023

BACKGROUND: Many studies are focused on safety culture. There is no study on employees’ perceptions of safety culture in natural health resorts. OBJECTIVE: This study aims to examine the concept of safety culture from the perspective of the employees in natural health resorts in Slovenia. METHODS: The survey was administered to a sample of 268 employees in six Slovenian natural health resorts to measure the attitudes, practices/behaviors, knowledge, and training of employees. RESULTS: The results of the survey did not show a statistical correlation between the employees’ safety attitudes and their age, their level of education and their position within the organization. However, this study revealed significant differences in understanding of the safety measures and selected safety attitudes across six resorts. Similarly, the study revealed significant differences in knowledge and understanding of the safety protocols across six resorts. The results are reflecting higher management safety awareness in selected resorts what could result in an important competitive advantage for a selected organization. CONCLUSIONS: The research provides an in-depth insight into the concept of safety culture, presented through the attitudes, practices/behaviors, knowledge, and training of employees in natural health resorts in Slovenia. Findings contribute to the development of conceptual knowledge in safety science.
Explaining rifle shooting factors through multi-sensor body tracking1
Authors: Flyckt Jonatan , Andersson Filip , Westphal Florian , Månsson Andreas , Lavesson Niklas
Published: April 2023

There is a lack of data-driven training instructions for sports shooters, as instruction has commonly been based on subjective assessments. Many studies have correlated body posture and balance to shooting performance in rifle shooting tasks, but have mostly focused on single aspects of postural control. This study has focused on finding relevant rifle shooting factors by examining the entire body over sequences of time. A data collection was performed with 13 human participants carrying out live rifle shooting scenarios while being recorded with multiple body tracking sensors. A pre-processing pipeline produced a novel skeleton sequence representation, which was used to train a transformer model. The predictions from this model could be explained on a per sample basis using the attention mechanism, and visualised in an interactive format for humans to interpret. It was possible to separate the different phases of a shooting scenario from body posture with a high classification accuracy (80%). Shooting performance could be detected to an extent by separating participants using their strong and weak shooting hand. The dataset and pre-processing pipeline, as well as the techniques for generating explainable predictions presented in this study have laid the groundwork for future research in the sports shooting domain.
Integrating deep neural network with logic rules for credit scoring
Authors: Li Zhanli , Zhang Xinyu , Deng Fan , Zhang Yun
Published: April 2023

Credit scoring is an important topic in financial activities and bankruptcy prediction that has been extensively explored using deep neural network (DNN) methods. DNN-based credit scoring models rely heavily on a large amount of labeled data. The accuracy of DNN-based credit assessment models relies heavily on large amounts of labeled data. However, purely data-driven learning makes it difficult to encode human intent to guide the model to capture the desired patterns and leads to low transparency of the model. Therefore, the Probabilistic Soft Logic Posterior Regularization (PSLPR) framework is proposed for integrating prior knowledge of logic rule with neural network. First, the PSLPR framework calculates the rule satisfaction distance for each instance using a probabilistic soft logic formula. Second, the logic rules are integrated into the posterior distribution of the DNN output to form a logic output. Finally, a novel discrepancy loss which measures the difference between the real label and the logic output is used to incorporate logic rules into the parameters of the neural network. Extensive experiments were conducted on two datasets, the Australian credit dataset and the credit card customer default dataset. To evaluate the obtained systems, several performance metrics were used, including PCC, Recall, F1 and AUC. The results show that compared to the standard DNN model, the four evaluation metrics are increased by 7.14%, 14.29%, 8.15%, and 5.43% respectively on the Australian credit dataset.
A domain density peak clustering algorithm based on natural neighbor
Authors: Chen Di , Du Tao , Zhou Jin , Shen Tianyu
Published: April 2023

Density peaks clustering (DPC) is as an efficient algorithm due for the cluster centers can be found quickly. However, this approach has some disadvantages. Firstly, it is sensitive to the cutoff distance; secondly, the neighborhood information of the data is not considered when calculating the local density; thirdly, during allocation, one assignment error may cause more errors. Considering these problems, this study proposes a domain density peak clustering algorithm based on natural neighbor (NDDC). At first, natural neighbor is introduced innovatively to obtain the neighborhood of each point. Then, based on the natural neighbors, several new methods are proposed to calculate corresponding metrics of the points to identify the centers. At last, this study proposes a new two-step assignment strategy to reduce the probability of data misclassification. A series of experiments are conducted that the NDDC offers higher accuracy and robustness than other methods.
A grouping feature selection method based on feature interaction
Authors: Zhou Hongfang , An Lei , Zhu Rourou
Published: April 2023

Feature interaction is crucial in the process of feature selection. In this paper, a grouping feature selection method based on feature interaction (GFS-NPIS) is proposed. Firstly, a new evaluation function measuring feature interaction is proposed. Secondly, a grouping strategy based on approximate Markov blanket is used to remove strong redundant features. Lastly, a new feature selection method called as GFS-NPIS is given. In order to verify the effectiveness of our method, we compare GFS-NPIS with other eight representative ones on three classifiers (SVM, KNN and CART). The experimental results on fifteen public data sets show that GFS-NPIS outperforms others in terms of classification accuracy and Macro-F1.
Optimal multi-kernel SVM classifier with rotation, illumination and scale invariant hybrid DWT-Shearlet based GLCM feature descriptor and its application to face recognition
Authors: Veerashetty Sachinkumar
Published: April 2023

In computer vision, we must handle with the various structural aspects of image or video data. The texture is one of the most important aspects of this type of data, which is utilised to identify objects or regions of interest in an image. As imaging conditions change, textures inside actual images significantly change in brightness, contrast, size, and skew. To recognise textures in real-world images, a similarity measure that is invariant to these features must be used. Existing recognition techniques did not perform well due to issues such as illumination, scale, and subject rotation. To address this issue, invariant feature representation methods are being developed to generate features that are insensitive to such variations. In this paper, we proposed a robust hybrid feature descriptor and predicted the faces under illumination, scale, and pose variations using an optimum multi-kernel support vector machine. Additionally, the suggested robust hybrid feature descriptor is enhanced by combining a hybrid transform composed of discrete wavelet and discrete shearlet transforms with some image statistical textural data. The proposed face recognition system is implemented in MATLAB, and analysed using various parameters to show proposed methods improved performance as compared to the state of the art methods.
Comparison of cell subsets in chronic obstructive pulmonary disease and controls based on single-cell transcriptome sequencing
Authors: An Li , Xia Hong , Zheng Weiying , Hua Lin
Published: April 2023

BACKGROUND: Currently, chronic obstructive pulmonary disease (COPD) significantly impacts patients’ quality of life and survival as it has a high morbidity and mortality rate. COPD progression is associated with infiltration of adaptive inflammatory immune cells that form lymphatic follicles into the lung. OBJECTIVE: The rapid development of single-cell RNA sequencing technology (scRNA-seq) provided us with powerful tools for studying the classification of cell subtypes. Additionally, it is known that COPD is closely related to the abnormal function of long-chain non-coding RNAs (lncRNAs), and scRNA-seq can help to study the expression of lncRNA from a single cell level. METHODS: We reanalyzed the scRNA-seq data of peripheral blood mononuclear cells of COPD patients downloaded from Gene Expression Omnibus (GEO) database, and performed the mRNA-based and lncRNA-based single cell clustering to compare the cell subsets in COPD and controls without COPD. Furthermore, we performed Gene Ontology (GO) enrichment analysis for the top ranked differentially expressed genes and target genes of differentially expressed lncRNAs in different cell subtypes for COPD and controls respectively. RESULTS: Differences in cell subtypes were found between COPD and controls. CONCLUSION: This study may help us to further understand the mechanism of the human adaptive immune cell response of COPD.
Improved adaptive tessellation rendering algorithm
Authors: Wang Monan , Jing Juntong , Gao Su , Bian Puyang , Ma Yuzhen , Zhou Naifa
Published: April 2023

BACKGROUND: The human body model in the virtual surgery system is generally nested by multiple complex models and each model has quite complex tangent and curvature change. In actual rendering, if all details of the human body model are rendered with high performance, it may cause the stutter due to insufficient hardware performance. If the human body model is roughly rendered, the details of the model cannot be well represented. OBJECTIVE: In order to realize the real-time rendering of complex models in virtual surgical systems, this paper proposes an improved adaptive tessellation rendering algorithm, which includes offline and online parts. METHODS: The offline part mainly completes data reading and data structure constructing. The online part performs the surface subdivision operation in-real time for each frame, which includes the subdivision operation of the control points and surface evaluation. The offline part simplifies the subdivision step by recording the surface subdivision hierarchy using a quadtree and using control templates to record control point information. RESULTS: The online part reduces computation time by using a matrix to record topological relationships between vertices and vertex weights. The online part can compress the time complexity of traversing the quadtree of different subdivision levels to O⁢(n⁢log⁡n) by establishing an association with the quadtree of each subdivision level and using the greedy algorithm to complete the traversal of the quadtree. Finally, the adaptive tessellation rendering algorithm proposed in this paper is compared with other commonly used tessellation algorithms. CONCLUSION: The algorithm has advantages in computational efficiency and graphical display.
Greece as an Organic Space for the Development of Digital Nomadistry
Authors: Vagena Akrivi , Latyshev Oleg Yuryevich , Papakonstantinidis Leonidas
Published: April 2023

In the modern working reality, the term Digital Nomad refers to professionals who work remotely via the internet and initially the phenomenon was treated simply as a modern way of life that includes continuous travel and travel away from the place of permanent residence. But since travel is a key part of nomadic life, it is now important to understand the potential of digital nomads as tourists.

In a highly competitive international tourism environment, the utilization of Digital Nomads can prove to be an extremely important advantage. As this audience grows constantly, the major tourist destinations around the world are claiming their share.

The growing enthusiasm of workers for travel combining work and leisure is gradually being addressed by the policies of countries that are trying to work out and amend rules on residence permits and taxation.

Finally, a research on correlation coefficient is realized by the authors. According to the research findings, Nomad Tourists spend time and activities in the destination and in favor for the destination.

There is a close (r = 0.62) correlation between activities and spending time in the destination. Also, from the questionnaire a number of tourist digital nomads activities are resulted, indicating that nomads participate in local activities (for example cultural activities) even if their job is offered in another place or country.

From this point of view, tourist nomads participate in local development in the destination.
An interdisciplinary research between analyzing customer segmentation in marketing and machine learning method
Authors:   University of Economics and Law, VNU-HCM, Vietnam, Ho Thanh Trung , Nguyễn Sơn Đăng ,   University of Economics and Law, VNU-HCM, Vietnam
Published: April 2023

Customer segmentation is one of the key factors in managing customers and building the appropriate marketing strategies. Segmenting customer groups will help managers understand the characteristics of their customers or consumer behaviors, thereby reaching the right target customers, retaining customers (Customer Retention), increasing revenue and competitive advantages of the business. However, finding the right customer groups is a challenge that businesses need to solve on a solid and reliable basis. Along with the support from current technology solutions such as Customer Relationship Management (CRM) and the application of algorithms and methods including both qualitative and quantitative research to enable businesses to cluster customer groups in marketing analysis. This article concentrates on introducing a hybrid model that combines RFM (Recency, Frequency, Monetary) and Machine Learning to analyze customer segmentation. The study was conducted through an empirical method on a dataset with 541,909 transactions of online retail stores, clustering 5 customer segments with the characteristics of each cluster being tested for quality demonstrating the effectiveness and applicability of the study.