bluuebunny/crossref_metadata_2025 huggingface dataset:
Current cooperation of Latin American and Caribbean countries with International Monetary Fund
Authors: Zakhartsova Anastasia S.
Published: August 2023

The article looks upon the key issues of cooperation between Latin American and Caribbean countries and International Monetary Fund from 2018 to present days. The author examines the large loans that IMF has given to the LAC countries as well as the facilities of “precautionary” assistance and urgent financing. The article also considers the link between the interaction of the LAC countries with the IMF and the nature of their relations with the United States - the holder of the largest quota in the organization. After studying the lending conditions and trends of macroeconomic performance of the borrowing countries the author concludes that in case of LAC cooperation with the IMF hardly contributes to resolve crises, however, might serve as support for the already well-established measures.
Where is Spain going today?
Authors: Kurakina-Damir Alexandra
Published: August 2023

The spring of 2023 in Spain turned out to be hot not only in terms of weather conditions, but also in terms of the intensity of political passions. The May elections for most of the parliaments of the autonomous regions and municipalities were supposed to be the starting point for a large campaign to prepare for the nationwide elections scheduled for the end of the year. Their outcome was difficult to predict. On the one hand, most opinion polls predicted the coming to power of the centre-right People's Party. On the other hand, Pedro Sanchez, leader of the senior partner of the ruling coalition of the Spanish Socialist Workers' Party (PSOE), has repeatedly demonstrated the ability to regain lost ground. The triumphant victory of the PP in the regional elections forced P. Sanchez to change his plans. He dissolved parliament and called a national election for 23 July. Is such a decision justified, and has the coalition government achieved the goals that it set at the beginning of 2020, when no one thought about the pandemic or the upcoming large-scale restructuring of the global security system? These issues were at the center of the discussion on April, 25 at the situational analysis “Preliminary results of the legislature of the coalition government of Spain”, organized by the Center for Iberian Studies of the ILA RAS.
The Great Man-Made River Project after Muammar Gaddafi’s Overthrow
Authors: Akhmatshina Enesh
Published: August 2023

This article focuses on the analysis of the implementation and maintenance of the Great Man-Made River project (GMMR) after Muammar Gaddafi’s Overthrow in 2011. Libya is one of the poorest countries in terms of freshwater per capita. Due to the need to cover the growing domestic and drinking demands, it was necessary to provide water supply to both cities on the narrow coastline of Tripolitania and Cyrenaica, and small villages of Fezzan. The discovery of the Nubian Sandstone Aquifer System made it possible to start building an underground pipelines network using the resources of deep-lying water deposits. The chronological scope of the paper covers more than a decade or the period from 2011 to the present. The main research issue focuses on the study of the maintaining the Great Man-Made River in the modern times. The paper also emphasizes the damage caused by hostilities. In the context of the research issue, the authors analyze a number of historical facts and data regarding the development of the water policy as well as key Hydraulic Engineering projects in Libya.
ECOWAS: Energy and Digital Infrastructure as a Factor of Regional Integration and Development
Authors: Kalinichenko Liudmila N.
Published: August 2023

The article analyzes one of the most important objectives of ECOWAS development strategy “Vision 2050”, which provides for the intensification of energy and digital infrastructure creation, its operation efficiency growth and the quality of services improvement. The implementation of this aim will contribute to the transformation of the subregion into a fully integrated and interconnected economic zone over the next three decades. The authors consider the current problems of these economic spheres related to the need to expand their financing and coordinate management at the subregional level and to the construction of complex infrastructure facilities due to a significant increase in electricity consumption and the penetration of digitalization process into such sectors of the economy as finance, education, public administration.
Important components of the strategy are the creation of a single energy market and participation in Pan-African Communication System Project. Cape Verde is seen as a digital platform, a regional technology hub bringing together the countries of the Community. It is planned to use a submarine fiber optic cable for connecting Cape Verde to Guinea-Bissau, Sierra Leone, Liberia, Guinea and to the EllaLink cable system between Brazil and Portugal. The training system WebLab is deployed to support education for ICT development.
Postcoloniality as a Reality, Postcolonial Discourse as a Phantom
Authors: Gavristova Tatiana M.
Published: August 2023

The formation of postcolonial discourse is inextricably linked with the analysis of the changes in African countries over the past decades. A wide range of ideas replicated by postcolonial theorists, from Franz Fanon to Achille Mbembe, is currently engaged, but their detailed study raises many questions. How do the traditions of the pre-colonial and colonial past and the post-colonial future correlate in contemporary Africa? What is the postcolony and is it related to the results of decolonization? Is there a postcolonial reality and what is actually the main focus of postcolonial research? The philosopher of Cameroonian origin A.Mbembe, the author of the book “On the Postcolony” (2000), believes that postcolonial discourse is still being formed and defines its subject: hence the presence of such phenomena as postcolonial trauma, postcolonial syndrome and various kinds of “grimaces” of postcoloniality. The reasons for their occurrence lie not so much in the colonial past, but in people’s distorted ideas about each other. Stereotypes and vestiges of xenophobia are receding as education and culture develop in society. However, the fact that post-colonial studies can now influence this process remains only a dream.
The postcolonial paradigm is present in almost all genres of research and literature. The actualization of post-colonial problems has also affected the artistic environment. An example is the works of the famous London designer Yinka Shonibare of Nigerian origin.
Simplified procedure for admission to citizenship of the Russian Federation
Authors: Shulzhenko Yuri L.
Published: August 2023

The article is devoted to the analysis of the simplified procedure for admission to Russian citizenship. Its application in practice, its scope are closely connected with specific socio-economic conditions and the specifics of its different periods. Before 1917, the use of the simplified procedure for acquiring Russian citizenship was based mainly on an economic factor - attracting highly qualified foreigners to the country. In the first years of Soviet power, the most important factor was the return to the homeland of citizens, who had been outside as a result of the collapse of the Russian Empire and three revolutions. This is one of the reasons for the inclusion in the 1924, 1930, and 1931 Regulations on Soviet Citizenship of a position on the simplified procedure for admission to Soviet citizenship. Note that the 1938 Law on Citizenship of the USSR no longer contained such positions. Only the 2002 Law on Citizenship of the Russian Federation returns to the simplified procedure for admission to Russian citizenship. This was primarily due to the fact that more people were needed to address the enormous, highly complex challenges facing Russia, primarily in the economy. Subsequently, a large number of changes and additions were made to this act. This is a clear indication that this institution should fully reflect modern activities, is in constant development, in search, fixing new, optimal solutions. This is especially evident these days in the face of a huge threat looming over Russia aimed at the destruction of its economy, political system, everything Russian. The use of the simplified procedure for acquiring Russian citizenship in recent times was mainly associated with the adoption, establishment of new entities in the Russian Federation, relocation of forced migrants to Russia. The new Federal Law on citizenship of the Russian Federation adopted in April 2023 is based on the amendments made in 2020 to the Constitution of the Russian Federation of our country and the actual practice of migration policy in Russia. It reduced the number of requirements for persons admitted to Russian Federation citizenship, and expanded the range of persons eligible for its simplified acquisition
Prussian codification of 1794 as a monument of law and an object of study
Authors: Kizyakovsky Vladimir
Published: August 2023

The article is devoted to the general analysis of Landrecht of 1794 - a monument of law, which, according to the author, is unfounded, ignored by legal historians. Landrecht is unique in many ways: an unprecedented scope, the number of branches of law included, the legal sources used, the detailed method of presenting the rules, legal technique and language, the history of creation, focus on application in judicial practice, low “viability”, etc. Explain why the legislative act has such characteristics - the task of the historian of law. The study of the realities associated with this codification, the analysis of the structure, institutions and legal terminology, and finally, the translation and publication into Russian will fill the gap in historical and legal science and help in solving the most important issues for modern law enforcement practice, such as: assessment criteria legal act (understandability, accessibility, applicability, optimal combination of volume, structure and content, compliance with the ideological program of state power, continuity of legal norms and institutions, and many others) and the use of the legal experience of the past in the modern legislative process and law enforcement
Intellectual property statute in Private International Law
Authors: Lisitsa Valeriy
Published: August 2023

The article highlights the comparative analysis of the conflict-of-laws regulation of intellectual property rights in international, European and Russian law. It is concluded that lex loci protectionis as the main conflict-of laws rule in this area has an ambiguous interpretation, cannot be recognized as lex fori – the law of the country where the competent court is seated, but should be generally understood as the law of the country where the legal protection of the relevant intellectual property object is provided. In addition, in some cases it seems reasonable to apply lex loci originis, lex loci actus and lex loci delicti, as well as lex voluntatis and lex loci solutionis – to contractual relations. In the case of non-contractual infringement of intellectual property rights granted and protected on the territory of several states, including on the Internet, the key issue is to establish the closest connection of the civil legal relationship with a particular state, taking into account various factors (the place of origin or registration of an intellectual property object, the place of committing infringement, the place of occurrence of negative consequences for the intellectual right holder, the orientation of a website to a specific state, the location of a competent court, etc.).
It is also argued to enshrine the provisions on the intellectual property statute in Section VI “Private International Law” of the Civil Code of the Russian Federation, including the following issues of its scope: a) authorship; b) types of protected intellectual property objects; c) requirements for the legal protection of intellectual property objects, including registration issues and other formalities to be executed; d) the types, content and effect of intellectual rights arising in relation to intellectual property objects, including the restrictions provided by law and the duration of legal protection; e) the emergence, exercise and termination of intellectual rights, including permissible ways of disposing of them; f) non-contractual protection of intellectual rights.
GAMBARAN STATUS PSIKOLOGIS ORANG TUA TERHADAP KEJADIAN STUNTING DI WILIYAH KERJA KENAGARIAN PEMATANG PANJANG KAB.SIJUNJUNG TAHUN 2022
Authors: Febristi Anisa , Antoni Agustika
Published: August 2023

ABSTRAK: Wanita yang sudah memiliki keluarga selain menjadi seorang istri dia memiliki peran lain yaitu menjadi seorang ibu. Peran ibu dan lingkungan sangat berperan bagi pertumbuhan dan perkembangan anak. Latar belakang pendidikan ibu, keadaan fisik dan mental, kemampuan ibu untuk mempraktikkan dalam kehidupan sehari-hari serta dukungan keluarga berakumulasi dalam bentuk tumbuh kembang anak. Faktor yang dapat meningkatkan risiko gangguan terjadinya kesehatan mental, mulai dari kondisi psikologi, sosial, hingga biologi.Kesehatan mental seorang ibu dapat memengaruhi kondisi keluarga, pola asuh anak,dan status gizi anak. Permasalahan psikologis yang sering dialami oleh seorang ibu adalah tumbang sianak Tujuan pendekatan merupakan mengubah situasi yang problematis supaya identik membicarakan solusi dari pemasalahan.Teknik penelitian ini Deskriptif dengan pengambilan Acidental Sampling digunakan untuk memperoleh melihat gambaran status psikologis ibu terhadap kejadian Stunting. Subyek Penelitian adalah ibu yang memiliki anak bayi atau balita di kenagarian pematang panjang kuisioner Depression Ansiety Stress Scale(DASS42)dengan jumlah pertanyaan sebanyak 42 pertanyaan dengan pilihan jawaban yaitu “tidak pernah” diberi skor 0, “kadang-kadang/pernah sekali” diberi skor 1, “Sering” diberi skor 2, “sangat sering mengalami” diberi skor 3.Hasil penelitian didapatkan untuk skala depresi dan skala stress 100 % normal terhadap angka kejadian Stunting pada anak di kenagarian Pematang Panjang Kab.Sijunjung sedangkan untuk Skala Kecemasan sebagian Besar 70% mengalami kecemasan terhadap angka kejadian Stunting yang tinggi di kenagarian Pematang Panjang Kab.Sijunjung.

Kata Kunci: Ibu,Balita,Psikologis,Stunting)
PENGGUNAAN DISCREPANCY EVALUATION MODEL (DEM) DALAM EVALUASI PROGRAM PELAKSANAAN SUPERVISI AKADEMIK UNTUK MENINGKATKAN KINERJA GURU
Authors: Murni AR Fitra , Gusnimar Gusnimar , Yenti Yeni Fitri , Demina Demina , Zulmuqim Zulmuqim
Published: August 2023

Kualitas dalam pendidikan sangat mempengaruhi kemajuan suatu negara. Guru merupakan komponen yang paling besar pengaruhnya dalam kualitas dunia pendidikan di Indonesia. Usaha dalam meningkatkan kinerja guru merupakan suatu kewajiban yang harus dilaksanakan oleh pemerintah. Salah satu solusi dalam meningkatkan kinerja seorang guru adalah dengan menjalankan program supervisi akademik, dengan adanya supervisi ini, kita dapat melihat sampai mana tahap perkembangan guru. Setelah dilaksanakannnya program supervisi akademik, tentu pemerintah harus melaksanakan evaluasi dalam program tersebut. Salah satu model yang dapat digunakan dalam melakukan evaluasi supervisi adalah menggunakan model Discrepancy Evaluation Model (DEM). Berdasarkan keterangan tersebut, peneliti tertarik menganalisis bagaimana evaluasi program supervisi akademik dengan Discrepancy Evaluation Model (Dem) untuk meningkatkan kinerja guru. Metode yang digunakan dalam penelitian ini adalah metode kajian pustaka yang menggunakan data primer dan data sekunder untuk membantu penelitian ini. Berdasarkan penelitian yang dilakukan dengan mengumpulkan teori yang ada, dapat disimpulkan bahwa evaluasi program supervisi akademik menggunakan model Discrepancy Evaluation Model (DEM) dapat memperlihatkan bahwa terdapat kesenjangan atau tidaknya antara program supervisi akademik yang seharusnya dengan yang telah tercapai. Program supervisi akademik akan mempengaruhi kinerja guru dalam mengajar. Hal ini terlihat dari teori- teori yang didapatkan yang kesimpulannya dapat dikatakan bahwa kinerja guru juga dipengaruhi oleh kegiatan program supervisi.

Kata Kunci: Evaluasi Program, Supervisi Akademik, Discrepancy Evaluation Model (Dem), Kinerja Guru
ANALISIS MINAT BERWIRAUSAHA MAHASISWA PENDIDIKAN AKUNTANSI UPGRISBA ANGKATAN 2018 DAN 2019
Authors: Wati Wati , Rahmania Meri , Sari Wardani Purnama , Setiawan Puguh , Siregar Silvia Andaresta
Published: August 2023

Berwirausaha merupakan usaha seseorang untuk menciptakan lapangan kerja sendiri baik membuka usaha atau menciptakan sesuatu yang baru guna meningkatkan perekonomian bagi dirinya maupun bagi orang lain. Menumbuhkan jiwa wirausaha para mahasiswa dapat menjadi alternatif untuk mengurangi tingkat pengangguran dikalangan mahasiswa itu sendiri. Penelitian ini bertujuan untuk menganalisis kreatifitas dan dukungan keluarga terhadap minat berwirausaha mahasiswa Pendidikan Akuntansi UPGRISBA Angkatan 2018 dan 2019. Penelitian ini merupakan penelitian asosiatif, pengambilan sampel menggunakan teknik purposive sampling dengan jumlah 85 sampel. Menggunakan analisis deskriftif dan analisis induktif. Pengujian hipotesis menggunakan uji t dan uji F. Hasil penelitian menunjukan bahwa terdapat pengaruh yang positif dan signifikan secara parsial antara kreatifitas dan dukungan keluarga terhadap minat berwirausaha mahasiswa Pendidikan Akuntansi UPGRISBA. Hal ini ditunjukan dengan nilai koefesien regresi 0,136929 dan t hitung 2,108246 > t tabel 1,66412 untuk kreatifitas, nilai koefisien regresi 0,140046 dengan t hitung 2,197487 > t tabel 1,66412 untuk dukungan keluarga. Dan untuk pengaruh secara simultan dengan nilai F hitung 5,153317 > F tabel 2,72 hal ini menunjukan terdapat pengaruh yang positif dan signifikan secara bersama-sama. Pengaruh ini terjadi karena saat mahasiswa memiliki kreatifitas yang tinggi maka akan dapat menciptakan ide-ide atau gagasan-gagasan baru dalam sebuah usaha, didukung oleh keluarga yang memberikan modal, ruang dan peluang untuk bergerak maju maka terwujudlah minat berwirausaha ini dikalangan para mahasiswa Pendidikan Akuntansi UPGRISBA.

Kata Kunci: Kreatifitas, Dukungan Keluarga, Minat Berwirausaha
MODEL PENGEMBANGAN KELEMBAGAAN PASAR GAMBIR MELALUI PENGUATAN ASPEK-ASPEK MODAL SOSIAL.
Authors: Nasrul Wedy , Reza Muhamad , Imran Imran
Published: August 2023

Modal sosial sebagai bagian dari kehidupan sosial seperti jaringan, norma, dan kepercayaan yang mendorong partisipan bertindak bersama secara lebih efektif untuk mencapai tujuan-tujuan bersama. Aspek modal sosial tidak banyak dibahas dalam aktivitas ekonomi. Namun kenyataan aspek-aspek modal sosial terlihat dan berperan dalam aktifitas ekonomi. Peneltian bertujuan untuk melihat peran modal sosial serta dampak pada kelembagaan pasar pertanian gambir. Seterusnya dirancang model penguatan dan pengembangan kelembagaan pasar gambir melalui pengutanan aspek modal sosial. Penelitian ini mengunakan pendekatan kualitatif. Hasil penelitian menunjukan Aspek modal sosial yang terbangun (kepercayaan, jaringan, norma dan sangksi) berjalan baik dan memiliki dampak positif untuk keberlajutan usaha tani gambir. Namun juga memiliki dampak negatif dan sering merugikan petani. Aspek kepercayaan dalam mendapatkan pinjaman namun menimbulkan keterikatan (patron-klien) antara petani dan pengumpul. Aspek jaringan memudahkan dalam penjualan produk di tingkat lokal namun sulit untuk jaringan tingkat nasional dan internasional. Aspek norma dan sanksi tidak berjalan efektif dan sering dibiarkan terhadap mutu produk dimanfaatkan pengumpul untuk penekanan harga. Model penguatan dan pengembangan kelembagaan pasar gambir dilakukan melalui integrasi aspek-aspek modal sosial. Integrasi aspek-aspek modal sosial kepercayaan norma dan sanksi yang menghasilkan aksi kolektif. Bentuk-bentuk aksi kolektif seperti peningkatan mutu gambir, tempat dan waktu transaksi serta pembangungan lembaga penyangga. Model penguatan dan pengembangan kelembagaan pasar gambir diharapkan dapat menyelesaikan permasalahan petani selama ini.

Kata kunci: modal sosial, pasar gambir
PENGARUH PENYULUHAN GIZI MENGGUNAKAN VIDEO EDUKASI DAN DISKUSI KELOMPOK TERHADAP PENGETAHUAN DAN SIKAP KONSUMSI BUAH DAN SAYUR REMAJA OVERWEIGHT DAN OBESITAS SISWA KELAS XII SMKN 6 PADANG TAHUN 2022
Authors: Zulferi Zulferi , Izzah Nurul , Safyanti Safyanti , Tisnawati Tisnawati
Published: August 2023

Perilaku konsumsi buah dan sayur kurang di Sumatra Barat mencapai 97,7%, akan menimbulkan dampak terhadap kesehatan tubuh seperti terjadi gangguan pencernaan, timbul hipertensi, gangguan jantung, penyakit diabetes mellitus, dan penyakit lainnya. Strategi yang digunakan untuk meningkatkan pengetahuan remaja tentang pentingnya konsumsi buah dan sayur adalah dengan melakukan penyuluhan gizi. Tujuan penelitian ini untuk mengetahui pengaruh penyuluhan gizi menggunakan video edukasi dan diskusi kelompok terhadap pengetahuan dan sikap konsumsi buah dan sayur pada remaja overweight dan obesitas siswa kelas XII di SMKN 6 Padang. Desain penelitian Pra-Eksperiment with One Group Pre-Postest Design. Penelitian dilakukan dari tanggal 5 sampai dengan tanggal 20 Januari 2022. Populasi penelitian adalah siswa-siswi kelas XII yang overweight dan obesitas sebanyak 31 orang, dan semua populasi dijadikan sampel. Pengumpulan data pengetahuan dan sikap menggunakan angket, pengukuran obesitas dan overweight menggunakan alat mikrotoise dan timbangan digital, untuk mengetahui status gizi menggunakan IMT/U dan aplikasi WHO. Pengolahan data dengan editing, coding, entry, cleaning, tabulating. Analisa data menggunakan uji Wilcoxon. Hasil penelitian menunjukkan terdapat peningkatan rata-rata pengetahuan sebelum dan sesudah diberikan penyuluhan, yaitu dari 65,11 menjadi 84,48, peningkatan nilai rata-rata sikap dari 43,0 menjadi 55,1. Penelitian juga menunjukkan terdapat perbedaan bermakna dari pengetahuan dan sikap sebelum dan sesudah diberikan penyuluhan dengan nilai p-value (0.00). Diharapkan kerja sama yang berkesinambungan semua sektor yang terkait, berupa pelaksanaan kegiatan promosi kesehatan berkelanjutan tentang konsumsi buah dan sayur. Selain itu, juga diharapkan terwujudnya aplikasi materi tersebut dalam kurikulum sekolah. Hal ini bertujuan agar UKS dapat meningkatkan perannya untuk mendeteksi BB dan TB anak setiap bulan, supaya bisa melakukan antisipasi terhadap berbagai dampak buruk terhadap kesehatan anak sekolah.

Kata Kunci: Penyuluhan, Diskusi Kelompok, Video Edukasi, Pengetahuan, Sikap.
A new long short-term memory based approach for soil moisture prediction
Authors: Koné Bamory Ahmed Toru , Grati Rima , Bouaziz Bassem , Boukadi Khouloud
Published: August 2023

Water scarcity is becoming more severe around the world as a result of suboptimal irrigation practices. Effective irrigation scheduling necessitates an estimation of future soil moisture content. This study presents deep learning models such as CNN-LSTM, a hybrid Deep Learning model that predicts future soil moisture using climate and soil information, including past soil moisture content. The study also investigates the appropriate number of observations and data sampling rate required to predict the next day’s soil moisture value. In terms of MSE, MAE, RMSE, and R 2 , the hybrid CNN-LSTM model is compared to standalone LSTM and Bi-LSTM models. The LSTM model achieved an MSE of 0.2471, MAE of 0.1978, RMSE of 0.4971, and R 2 of 0.9714. The LSTM model outperformed the Bi-LSTM model, which had an MSE of 0.3036, MAE of 0.3248, RMSE of 0.5510, and R 2 of 0.9614. With an MSE of 0.1348, MAE of 0.1868, RMSE of 0.3672, and R 2 of 0.9838, the hybrid CNN-LSTM model outperformed the LSTM. Our findings suggest that deep learning models, particularly the Convolutional LSTM, hold great potential for predicting soil moisture accurately. The Convolutional LSTM model’s superior performance can be attributed to its ability to capture spatial dependencies in soil moisture data. Furthermore, the results show that for better prediction, sub-hourly data samples from the previous three days should be considered.
Performance evaluation of two different software programs for automated ASPECTS scoring in patients with suspected stroke
Authors: Río Bártulos Carolina , Pirl Lukas , Lier Dennis , Planert Mathis , Hohmann Juliane , El Mountassir Abdelouahed , El Anwar Mohamed , Wiggermann Philipp
Published: August 2023

BACKGROUND: The range of software available to radiologists has increased enormously with the advancement of AI. A good example of this is software to determine ASPECTS in the treatment of potential stroke patients. OBJECTIVE: In this study, two software packages (eASPECTS from Brainomix and VIA_ASPECTS from Siemens) were tested and compared for their performance in the daily clinical routine of a maximum care provider with a 24/7 stroke unit. METHODS: A total of 637 noncontrast CT images were obtained from consecutive patients with suspected stroke, of whom 73 were finally diagnosed with MCA infarction. Differences in agreement and quantification of agreement were analysed, as well as the correlation and sensitivity, specificity and accuracy compared to raters. RESULTS: Compared to VIA_ASPECTS, eASPECTS shows good agreement and strong correlation with the raters. VIA_ASPECTS has lower accuracy and low specificity than eASPECTS but a higher sensitivity. CONCLUSION: Both software products have the potential to be decision support tools for radiologists. There are, however, differences between the two software products in terms of their intended use.
DWAEF: a deep weighted average ensemble framework harnessing novel indicators for sarcasm detection1
Authors: Sharma Richa , Deol Simrat , Kaushish Udit , Pandey Prakher , Maurya Vishal
Published: August 2023

Sarcasm is a linguistic phenomenon often indicating a disparity between literal and inferred meanings. Due to its complexity, it is typically difficult to discern it within an online text message. Consequently, in recent years sarcasm detection has received considerable attention from both academia and industry. Nevertheless, the majority of current approaches simply model low-level indicators of sarcasm in various machine learning algorithms. This paper aims to present sarcasm in a new light by utilizing novel indicators in a deep weighted average ensemble-based framework (DWAEF). The novel indicators pertain to exploiting the presence of simile and metaphor in text and detecting the subtle shift in tone at a sentence’s structural level. A graph neural network (GNN) structure is implemented to detect the presence of simile, bidirectional encoder representations from transformers (BERT) embeddings are exploited to detect metaphorical instances and fuzzy logic is employed to account for the shift of tone. To account for the existence of sarcasm, the DWAEF integrates the inputs from the novel indicators. The performance of the framework is evaluated on a self-curated dataset of online text messages. A comparative report between the results acquired using primitive features and those obtained using a combination of primitive features and proposed indicators is provided. The highest accuracy of 92% was achieved after applying DWAEF, the proposed framework which combines the primitive features and novel indicators together as compared to 78.58% obtained using Support Vector Machine (SVM) which was the lowest among all classifiers.
Fake news detection using a deep learning transformer based encoder-decoder architecture
Authors: Narayanan M. Badri , Ramesh Arun Kumar , Gayathri K.S. , Shahina A.
Published: August 2023

Fake news production, accessibility, and consumption have all increased with the rise of internet-connected gadgets and social media platforms. A good fake news detection system is essential because the news readers receive can affect their opinions. Several works on fake news detection have been done using machine learning and deep learning approaches. Recently, the deep learning approach has been preferred over machine learning because of its ability to comprehend the intricacies of textual data. The introduction of transformer architecture changed the NLP paradigm and distinguished itself from recurrent models by enabling the processing of sentences as a whole rather than word by word. The attention mechanisms introduced in Transformers allowed them to understand the relationship between far-apart tokens in a sentence. Numerous deep learning works on fake news detection have been published by focusing on different features to determine the authenticity of a news source. We performed an extensive analysis of the comprehensive NELA-GT 2020 dataset, which revealed that the title and content of a news source contain discernible information critical for determining its integrity. To this objective, we introduce ‘FakeNews Transformer’ — a specialized Transformer-based architecture that considers the news story’s title and content to assess its veracity. Our proposed work achieved an accuracy of 74.0% on a subset of the NELA-GT 2020 dataset. To our knowledge, FakeNews Transformer is the first published work that considers both title and content for evaluating a news article; thus, we compare the performance of our work against two BERT and two LSTM models working independently on title and content. Our work outperformed the BERT and LSTM models working independently on title by 7.6% and 9.6%, while performing better than the BERT and LSTM models working independently on content by 8.9% and 10.5%, respectively.
Two-stage attention Unet3d model under airfoil 3D turbulence field prediction with SDF expression
Authors: Wang Shu , Wei Nan , Zhu Jie , Xu Qinzheng
Published: August 2023

Various fluid mechanics software, due to inherent factors such as algorithms and boundary conditions, cannot quickly simulate 3D flow fields in batches, and the calculation of each model still takes a lot of time.In order to realize the rapid prediction of the three-dimensional flow field around the airfoil, this paper uses a new SDF geometric expression to describe the shape of the airfoil, and combines the prediction accuracy of the velocity and pressure channels, and proposes a two-stage Unet3d convolution prediction model based on the SDF expression, which greatly improves the prediction accuracy of the pressure channel.In addition, the introduced two-stage convolutional network is optimized by combining lightweight network and attention mechanism. On the premise of ensuring the accuracy of the network, it can effectively reduce the parameters of the network model and improve the operating efficiency of the network. The two-stage method was tested on the Naca0012 and RAE2822 three-dimensional datasets, and the average accuracy rates were 95.44% and 98.22% respectively, which were 2 to 3 percentage points higher than the original method.
A note on “Some dual hesitant fuzzy Hamacher aggregation operators and their applications to multiple attribute decision making”
Authors: Dawlet Omirzhan , Bao Yan-Ling
Published: August 2023

As dual hesitant fuzzy sets can express the uncertainty of data efficiently, the aggregation of dual hesitant fuzzy information plays an important role in both theory and application. However, some existing dual hesitant fuzzy aggregation operators are not rigorous enough actually. In this note, we show that some theorems in an earlier paper by Ju et al. [1] (Journal of Intelligent & Fuzzy Systems 27 (2014) 2481–2495) are not correct, i.e., the dual hesitant fuzzy Hamacher weighted averaging operator (DHFHWA) and some other aggregation operators proposed by Ju et al. don’t satisfy idempotency and boundedness. Therefore, the purpose of this paper is to make researchers aware of that some aggregation operators in literature [1] are flawed and limited for many applications.
Developing support vector regression and radial basis function neural networks in optimized holistic frameworks to estimate hardness properties of concrete
Authors: Wang Chuncha
Published: August 2023

The hardness properties of constructional materials should be investigated as important factors in assessing the performance over the operation period. Two tests are performed to determine the stiffness characteristic, including slump and compressive strength (CS). They must be considered to examine efficiency, durability, and resistance to pressure. Due to the structure’s susceptibility and usage in dams, bridges, etc., high-performance concrete must have an appropriate set of these tests. There are two soft-based and laboratory methods for performing these tests. The laboratory method is not economical in terms of cost and time, and artificial intelligence (AI) is used to reduce the aforementioned factors. Models and optimizers use software-based methods to help reduce errors and increase model accuracy. So, The main purpose of this research has been introducing novel ways of coupling an ensemble model with optimizers by adjusting some internal parameters. In this article, two models, the Radial Basis Function Neural network and Support Vector Regression were combined and coupled with General Normal Distribution Optimization (GNDO) and Archimedes optimization algorithm (AOA) into the two frameworks of SVRRBF-AOA and SVRRBF-GNDO. As a result, the hybrid model of SVRRBF-AOA could perform well by obtaining R2 and RMSE of 0.9915 and 2.71 for the slump and 0.9845 and 3.34 for CS, respectively.
PVFAN: Point-view fusion attention network for 3D shape recognition
Authors: Cao Jiangzhong , Liao Siyi
Published: August 2023

3D shape recognition is a critical research topic in the field of computer vision, attracting substantial attention. Existing approaches mainly focus on extracting distinctive 3D shape features; however, they often neglect the model’s robustness and lack refinement in deep features. To address these limitations, we propose the point-view fusion attention network that aims to extract a concise, informative, and robust 3D shape descriptor. Initially, our approach combines multi-view features with point cloud features to obtain accurate and distinguishable fusion features. To effectively handle these fusion features, we design a dual-attention convolutional network which consists of a channel attention module and a spatial attention module. This dual-attention mechanism greatly enhances the generalization ability and robustness of 3D recognition models. Notably, we introduce a strip-pooling layer in the channel attention module to refine the features, resulting in improved fusion features that are more compact. Finally, a classification process is performed on the refined features to assign appropriate 3D shape labels. Our extensive experiments on the ModelNet10 and ModelNet40 datasets for 3D shape recognition and retrieval demonstrate the remarkable accuracy and robustness of the proposed method.
Automatic detection of coronavirus disease (COVID-19) in X-ray images using transfer learning
Authors: Huang Hangxing , Ma Lindong
Published: August 2023

In late 2019, coronavirus disease (COVID-19) began to spread globally and is highly contagious. Due to its exceptionally rapid spread and high mortality rate, it is not yet possible to be eradicated. In order to halt the spread of COVID-19, there is a pressing need for effective screening of infected patients and immediate medical intervention. The absence of rapid and accurate methods to identify infected patients has led to a need for a model for early diagnosis of patients with and suspected of having COVID-19 to reduce the probability of missed diagnosis and misdiagnosis. Modern automatic image recognition techniques are an important diagnostic method for COVID-19. The aim of this thesis is to propose a novel deep learning technique for the automatic diagnosis and recognition of coronavirus disease (COVID-19) on X-ray images using a transfer learning approach. A new dataset containing COVID-19 information was created by merging two publicly available datasets. This dataset includes 912 COVID-19 images, 4273 pneumonia images, and 1583 normal chest X-ray images. We used this dataset to train and test the deep learning algorithm. With this new dataset, two pre-trained models (Xception and ResNetRS50) were trained and validated using transfer learning techniques. 3-class images were identified (Pneumonia vs. COVID-19 vs. Normal), and the two models generated validation accuracies of 90% and 97.21%, respectively, in the experiments. This demonstrates that our proposed algorithm can be well applied in diagnosing patients with lung diseases. In this study, we found the ResNetRS50 model to be superior.
A practical decision-making framework for highway transportation scheme selection based on the triangular fuzzy neutrosophic information
Authors: Wang Lu
Published: August 2023

In recent years, due to the further development of the market economy, the internal competition in the large-cargo transportation industry has become increasingly fierce, and the profit space has been greatly compressed. Therefore, large-cargo logistics enterprises are paying more and more attention to the research of highway transportation route plan. The highway transportation scheme selection is looked as the multi-attribute decision-making (MADM). In this paper, the triangular fuzzy neutrosophic numbers (TFNN) grey relational analysis (TFNN-GRA) method is established based on the classical grey relational analysis (GRA) and triangular fuzzy neutrosophic sets (TFNSs) with completely unknown weight information. In order to obtain the weight values, the information Entropy is established to obtain the weight values based on the score and accuracy functions under TFNSs. Then, combining the traditional fuzzy GRA model with TFNSs information, the TFNN-GRA method is set up and the computing steps for MADM are established. Finally, a numerical example for highway transportation scheme selection was established and some comparisons are established to study the advantages of TFNN-GRA. The main contributions of this paper are established as follows: (1) the information Entropy is established to obtain the weight values based on the score and accuracy functions under TFNSs; (2) the TFNN-GRA method is established with completely unknown weight information. (2) the TFNN-GRA method is established and the computing steps for MADM are established. (3) Finally, a numerical example for highway transportation scheme selection was established and some comparisons is employed to study advantages of TFNN-GRA method.
RECONSTRUCTION OF THE HISTORICAL PLANNING OF THE QUARTER WITH THE FORMATION OF MODERN RESIDENTIAL BUILDINGS IN THE HISTORICAL BUILDING IN LUBEK
Authors: Popovych Dmytro
Published: August 2023

The article notes that the preservation of historical urban planning is an important aspect of modern urban planning, which contributes to the preservation of cultural heritage and the formation of the city's identity. However, to achieve this goal, a scientific approach is necessary, which includes a detailed analysis of the territory, research of historical archives and documents, design and implementation of plans taking into account modern requirements for urban planning. The article pays special attention to historical styles of planning quarters and districts, particularly in old cities such as Kyiv. It is noted that preservation of historical urban planning can be a difficult task due to the fact that it often does not meet modern requirements, for example, to ensure the comfort of residents and insolation. Therefore, it is important to strike a balance between the preservation of the historical territory and compliance with modern urban planning requirements. In general, the article provides clear examples of how historical urban planning can be preserved and ensured its compliance with modern requirements of urban planning, which is an important element of the formation of the cultural heritage and identity of the city.

In addition, the article compares different approaches to the development of urban planning in new districts of European cities, in particular, Amsterdam and Kyiv. Attention is drawn to the development of green areas and open spaces in new districts and their harmonious combination with historical planning. An example of a new district of modern housing in Amsterdam is given, which continues the theme of the development of quarter buildings of the city's historical planning.

Special attention is paid in the article to the problem of restoration of historical planning in the districts of the old city. The example of the "Founding Quarter" of the German city of LЯbeck is used to analyze this issue. The reasons for the destruction of the historical core of the city, the modernist features of reconstruction in the post-war period are considered and analyzed. The modern project of restoration of this district with the return of historical streets, layout of buildings, their separate volumes was analyzed.
SOCIO-ECONOMIC PREREQUISITES FOR THE MULTIFUNCTIONAL SCHOOL BUILDINGS FORMATION
Authors: Tyshkevych Olga
Published: August 2023

The article deals with the socio-economic prerequisites for the multifunctional school buildings formation, which is aimed at achieving the goals of sustainable community development. The unsatisfactory condition of the socio-cultural service network is one of the reasons for the migration of the rural population, which leads to the depopulation of rural settlements. An important task for sustainable development of rural areas is to build social infrastructure. A promising area of improving the socio-cultural institutions network is their formation on the basis of the principle of cooperation of resources. Integration of general secondary education institutions with health care institutions, extracurricular education, sports-wellness and cultural and educational institutions will provide an opportunity to establish social and cultural services in rural settlements, where the functioning of autonomous institutions is economically impractical or impossible. Under these conditions, the schools will function as community socio - cultural centers, and not only children but also the adult population will use multifunctional school buildings. Organization on the basis of general secondary education institutions of consultative points will provide an opportunity for the population of the community for a lifetime near the place of residence. This will allow the public to be involved in the activity of the general secondary education institution, and will reduce segregation phenomena in society. The socio - economic advantages of erection of multifunctional school buildings have been confirmed by scientific research and experience of their operation.
CALCULATION OF THE CORRELATION COEFFICIENT IN GEODETIC MEASUREMENTS
Authors: Gladilin Valeriy , Siroshtan Tatiana , Нamalіі Iryna , Sviderska Tetyana , Shudra Nataliia , Chulanov Petro
Published: August 2023

A formula for determining the correlation coefficients is proposed, according to which with a small number of measurements the values of the coefficients will be larger compared to the values calculated by known formulas, i.e., these values will be less offset relative to the true values of correlation coefficients.

In geodesy in general are limited to a small number of measurements, in photogrammetry at mutual orientation of pictures of a stereo pair in an automatic mode at identification of points on the left and right pictures it is necessary to calculate precisely values of correlation coefficients.
Hair loss impact on quality of life of patients with oncological diseases – pilot study
Authors: Szkultecka-Dębek Monika , Oszajca Katarzyna , Drozd Mariola , Wania Patryk
Published: August 2023

W trakcie leczenia onkologicznego wypadanie włosów jest jednym ze zdarzeń niepożądanych związanych ze stosowaniem leków cytotoksycznych. Wypadanie włosów to problem, który ma wpływ na samopoczucie i jakość życia ludzi.
Celem pracy było sprawdzenie stopnia wpływu wypadania włosów u pacjentów, u których wystąpiło łysienie wywołane terapią lekami cytotoksycznymi.
Badanie przeprowadzono od marca do kwietnia 2018 roku wśród dorosłej populacji pacjentów onkologicznych, u których w trakcie chemioterapii onkologicznej doszło do łysienia. Badanie przeprowadzono wśród 25 osób. W tym celu opracowano autorski kwestionariusz jakości życia oraz kwestionariusz wpływu utraty włosów, które zostały poddane walidacji w trakcie badania.
Wypadanie włosów u mężczyzn ma niewielki lub żaden wpływ na zakupy, prace domowe i sport, podczas gdy u kobiet tylko w przypadku prac domowych. Zarówno u kobiet, jak i mężczyzn ma bardzo silny wpływ na życie społeczne, postrzeganie w otoczeniu oraz kontakty z partnerami, rodziną i przyjaciółmi. Jakość życia związana z wypadaniem włosów uzyskała ogólny wynik -0,74 i jest uważana za niską. 78,9% ankietowanych kobiet zdecydowanie zgodziło się, że utrata włosów negatywnie wpływa na ich życie towarzyskie lub sposób spędzania wolnego czasu. Zarówno kobiety, jak i mężczyźni w związku z wypadaniem włosów w zdecydowanej większości deklarowali odczuwanie dyskomfortu i depresję. Większość badanych kobiet uważa, że utrata brwi i rzęs jest doświadczeniem równie negatywnym jak utrata włosów na głowie. Dla większości badanych mężczyzn włosy na głowie są ważniejsze niż brwi i rzęsy.
Z przeprowadzonych badań wynika, że utrata włosów w przebiegu leczenia przeciwnowotworowego lekami cytotoksycznymi ma największy wpływ na jakość życia w odniesieniu do funkcjonowania społecznego i aktywności społecznej, jednak nie wpływa istotnie na poszczególne czynności.
Pilotażowe badanie walidacji winiety HLIV potwierdza, że narzędzie jest odpowiednie do oceny wpływu utraty włosów na życie codzienne pacjentów.
The End of Objectivity and Subjectivity in Educational Sciences
Authors: Miranda e Silva Nuno
Published: August 2023

Education Sciences have a recent institutionalization, contemporary with influential epistemological views based on the natural and exact sciences (Popper, Kuhn, Lakatos, Feyerabend, Longino, Bourdieu and Harding). This may have led to the direct importation of principles and discourses, which suggests the need to debate such influences regarding the coherence of their meanings with the complex nature of education.

For this purpose, we analyze the arguments “objectivity” and “subjectivity”, commonly mobilized in research, which some understand to be epistemic virtues. Therefore, what characterizes the “objectivity” and “subjectivity” arguments in influential epistemological proposals? What is its meaning in Educational Sciences and, in particular, in qualitative research?

Methodologically, an instrumental, comparative, and reflective analysis of influential epistemologies is carried out (in terms of the meaning attributed to the objectivity and subjectivity arguments), to discuss the epistemology of Education Sciences.

The results suggest different purposes and conceptions of objectivity and subjectivity, based on (a) the researchers neutrality in relation to social values, (b) the values that allow integration into a paradigm, (c) the retrospective look at the knowledge produced, (d) the creative capacity, (e) the representativeness of groups that may have an interest in knowledge, (f) the elements of scientific prestige and (g) the dominant/oppressed position at the origin of knowledge.

This suggests questioning the virtue of the “objectivity” and “subjectivity” arguments, since they have dispersed meanings and can lead to incommensurability, when the scientific meaning of education is, on the contrary, to be situated at the confluence of various sciences and methodologies.

In conclusion, it is relevant to debate the epistemic virtues of Education Sciences that support the commensurability, and it is proposed that this process begins in the inter-subjectivity, inter-coherence and inter-necessity that emerge from the complexity of education.