bluuebunny/crossref_metadata_2025 huggingface dataset:
4D Printed Programmable Shape-morphing Hydrogels as Intraoperative Self-folding Nerve Conduits for Sutureless Neurorrhaphy
Authors: Joshi Akshat , Choudhury Saswat , Baghel Vageesh , Ghosh Souvik , Gupta Sumeet , Lahiri Debrupa , Ananthasuresh G , Chatterjee Kaushik
Published: November 2022

Even as four-dimensional (4D) printing of biomaterials evolves as a fascinating technology to engineer complex and dynamic biomimetic parts, the utility of 4D printed hydrogels in addressing clinical needs in vivo has not been established. In this study, a hydrogel system was engineered from tailored concentrations of alginate and methyl cellulose with defined swelling behaviors, which demonstrated excellent printability in extrusion-based three-dimensional (3D) printing and programmed shape deformations post-printing. Shape deformations of the spatially patterned hydrogels with defined infill angles were computationally predicted for a variety of 3D printed structures, which were subsequently validated experimentally. The gels were further coated with gelatin-rich nanofibers by airbrushing to augment cell attachment and growth. 3D printed hydrogel sheets with pre-programmed infill patterns rapidly self-rolled into hollow tubes in vivo to serve as nerve guiding conduits for repairing sciatic nerve defects in a rat model. These 4D printed hydrogels minimized the complexity of surgeries by tightly clamping the resected ends of the nerves to assist in the healing of peripheral nerve damage, as revealed by histological evaluation and functional assessments for up to 45 days. This work demonstrates that 3D printed hydrogels can be designed for programmed shape changes by swelling in vivo to yield 4D printed tissue constructs for the repair of peripheral nerve damage with a potential to be extended in other areas of regenerative medicine.
Structural and Electronic Properties of Aqueous Transition−Metal−Substituted Polyoxotungstates
Authors: Thompson Jake , Gonzalez-Cabaleiro Rebeca , Vilà-Nadal Laia
Published: November 2022

Polyoxometalates (POMs) are a discrete class of polyanionic metal−oxo aggregates with a large diversity of topologies, structural flexibility, and functionality at the nanoscale. Controlled base treatment of these compounds produces monolacunary polyanions that behave as multi−dentate ligands, generating a class of compounds known as transition metal substituted POMs. These compounds demonstrate excellent redox stability, making them are integral precursors for electrochemical processes. In this work, Density Functional Theory (DFT) calculations have been employed to systematically studied the accuracy of various exchange−correlation functions in describing the properties of transition−metal−substituted polyoxotungstates which are integral precursors for electrochemical processes. Molecular geometries were optimized using several generalized gradient approximations (GGA), hybrid, and long−range−corrected GGA (LC−GGA) with whom all agreed well with experimental crystallographic results. We report the standard reduction potentials, U0red vs NHE, for the pH−independent redox processes present in Keggin [M(H2O)PW11O39]5−; M = Mn(III/II), Fe(III/II), Co(III/II), and Ru(III/II)) anions calculated as a function of Hartree−Fock (HF) exchange and provide insight into the electronic properties controlling it.
Classification of Tastants: A Deep Learning Based Approach
Authors: Dutta Prantar , Jain Deepak , Gupta Rakesh , Rai Beena
Published: November 2022

Predicting the taste of molecules is of critical importance in the food and beverages, flavor, and pharmaceutical industries for the design and screening of new tastants. In this work, we have built deep learning models to classify sweet, bitter, and umami molecules— the three basic tastes whose sensation is mediated by G protein-coupled receptors. An extensive dataset containing 1938 bitter, 2079 sweet, and 98 umami tastants was curated from existing literature. We analyzed the chemical characteristics of the molecules, with special focus on the presence of different functional groups. A deep neural network model based on molecular descriptors and a graph neural network model were trained for taste prediction. The class imbalance due to fewer umami molecules was tackled using special sampling techniques, such that the classwise metrics for all the three taste classes are optimized. Both models show comparable performance during evaluation, but the graph-based model can learn task-specific representations from the molecular structure without requiring handcrafted features. We further explain the deep neural network predictions using Shapley additive explanations and connect them to the physics of tastant-receptor binding. This study develops an in-silico approach to classify molecules based on their taste by leveraging the recent progress in deep learning, which can serve as a powerful tool for tastant design.
Hollowness is a Not-so-hidden State: An Ode to the Neoliberal Academy
Authors: Levesque Lauren Michelle
Published: November 2022

N/A
Main trends of development of the restaurant industry of Ukraine in modern conditions
Authors: Haponenko Hanna , Yevtushenko Olena , Shamara Irina , Kholodok Valentyna
Published: November 2022

Restaurant business – one of the few activities that became popular in ancient times, despite the rapid development, this activity has not lost its popularity to this day. For two centuries, experts have been studying the problems of identifying success factors in the restaurant industry. But a professional chef and an incomparable menu, stylish design and excellent service - all this in itself is not yet able to ensure high occupancy of the restaurant. One of the main criteria for the success of catering establishments - location in a place with heavy traffic, new formats, modern solutions in order to stand out in the market and win the loyalty of its audience. The article highlights the main trends in the development of the restaurant industry of Ukraine in modern conditions and conditions of activity during the pandemic COVID-19. The indicators of the development of the restaurant industry of Ukraine in recent years, as well as the impact of quarantine restrictions due to the pandemic COVID-19 on the quantitative indicators of the development of the restaurant services market are analyzed. The subject of the study is the analysis of the current state and trends in the restaurant industry of Ukraine. The purpose of the study is to identify trends and prospects for the restaurant industry development of Ukraine in modern conditions. General scientific research methods are used: system, descriptive, comparative and structural-logical analysis. The study obtained the following results: identified the main trends in the restaurant industry of Ukraine and the impact of the COVID-19 pandemic on their formation. Conclusions: the expediency of changing the format of restaurants after quarantine restrictions and the use of innovations in cooking, design, which include creative cuisine, high-tech style, catering service, etc.
INDICADORES DE ALFABETIZAÇÃO CIENTÍFICA: ANÁLISE DAS AÇÕES EDUCATIVAS NOS PARQUES ECOLÓGICOS NA CIDADE DE MACEIÓ, AL
Authors: Santana Geovanio da Silva , Fireman Elton Casado
Published: November 2022

Esta pesquisa estudou as ações educativas desenvolvidas nos Parques Ecológicos: Parque Municipal e no Parque do Horto na cidade de Maceió, estado de Alagoas, por meio da ferramenta teórico-metodológica dos indicadores de Alfabetização Científica. O objetivo geral foi investigar a aplicabilidade da ferramenta teórico-metodológica de indicadores de alfabetização científica para o estudo e avaliação de ações educativas desenvolvidas pelos parques ecológicos na cidade de Maceió. Para isso, propor-se o seguinte problema: Quais as ações educativas desenvolvidas nos parques ecológicos promovem, por meio da ferramenta teórico-metodológica, a alfabetização científica do público visitante? A pesquisa foi do tipo qualitativa, e a abordagem trata-se de um estudo de caso, a saber, o caso da equipe técnica do Parque Municipal e do Parque do Horto em Maceió, que elabora ações educativas para promoção da alfabetização científica. Para tal, utilizou-se a análise de conteúdo, que abrange diálogos e comunicação em massa ou em um grupo específico.  Como instrumentos de coleta de dados, utilizou-se a entrevista, elaborada por meio de um roteiro predefinido e questionário com perguntas abertas, somados às seguintes fontes de evidência: documentos institucionais, fotografias e artefatos físicos. Os resultados apontam a presença dos indicadores e seus atributos de alfabetização científica em duas ações educativas denominadas o Parque nas Escolas e o Projeto Planta Maceió, na qual identificou-se a presença e ausência dos indicadores e seus atributos, com isso indica potencialidade para alfabetizar cientificamente a população por meio das ações educativas.
Sosyal Medyada Stalklamak Üzerine Yapılan Bir Araştırma A Study on Stalking on Social Media
Authors: Şenses Özge , Aydoğdu Karaaslan İlknur
Published: November 2022

Günümüzde teknolojinin gelişmesiyle, sosyal medya kullanımları arttığından kullanıcıların stalklama eylemleri de artmıştır. Stalklamak, başta takip edilen kişinin sadece profilini gizlice görüntülemek, fotoğraflarına bakmak iken zamanla takip edilen kişinin gönderilerine yorum yapmak, başta iltifat dolu fakat ardından rahatsız edici olan mesajlar atmak vb. davranışlar sergilemektir. Çalışmada, sosyal medyada stalklama (ısrarlı takip) eylemi incelenmiş hem fail hem de mağdur olan/olmayan taraflar tarafından kullanıcıların görüşlerine online anket yöntemi ile ulaşılmıştır. Araştırma kapsamında; sosyal medyayı sıklıkla kullandıkları varsayılan ve online ankete gönüllü cevap veren 437 katılımcıya, stalk hakkındaki düşünceleri sorulmuş ve görüşleri değerlendirilmiştir. Araştırma sonucunda, katılımcıların demografik değişkenleri ile stalk kavramının anlaşılması ve uygulanması, stalklama yaparken kullanım amaçları, ısrarlı takipleri farklılık gösterdiği ortaya çıkmaktadır. Gençlerin sosyal medyayı aktif kullandıkları görülmektedir. Sosyal medya kullanıcıları, stalk kavramını bir suç unsuru olarak görmektedir. Ayrıca katılımcıların stalk kavramı ile ilgili yeterli bilgi düzeyine sahip olmadıkları da ortaya çıkmıştır.
Bu çalışma, Sosyal Medya Kullanımında Stalklamak: Toplumsal Cinsiyet Farklılıkları Üzerine Bir Araştırma; başlıklı (Ege Üniversitesi Sosyal Bilimler Enstitüsü Gazetecilik Anabilim Dalı (2022)) yüksek lisans tezinden türetilmiştir.
Yenilik Yönetimi Yeterlikleri ile Örgütsel Bağlılık Arasındaki İlişki: Öğretmenler Üzerine Bir Araştırma The Relationship Between Innovation Management Competencies and Organizational Commitment: A Study on Teachers
Authors: Oğan Ela
Published: November 2022

Günümüzde insan kaynaklarının ve yöneticilerin bilim ve teknoloji alanında gerçekleşen yenilikleri takip ederek değişime uyum sağlamaları gerekmektedir. Kurum ve kuruluşların, yöneticilerin nitelikli çalışanları kendilerine bağlamaları için yeniliklere açık bir bakış açısı içinde olmaları ve örgüt bütününde yeniliği desteklemeleri beklenmektedir. Bu bağlamda örgütte yenilikçi çalışma ortamlarının oluşturulmasının örgütsel bağlılığı güçlendirerek başarıya katkı sağlayacağı düşünülmektedir. Bu düşünceden hareketle bu araştırmada, Milli Eğitim Bakanlığı’na (MEB) bağlı devlet okullarında görev yapan öğretmenlerin görev yaptıkları okulların yenilik yönetimi yeterlilikleri ile ilgili görüşleri ve örgütsel bağlılıkları arasındaki ilişkiyi ortaya çıkarmak amaçlanmıştır. Bu amaçla devlet okullarında görev yapan 390 öğretmenden anket formu aracılığıyla veriler toplanmıştır. Yapılan analizlere göre okulların yenilik yönetimi yeterlilikleri orta düzeyde değerlendirilmiştir. Öğretmenlerin örgüte bağlılıklarının ise devam bağlılığı düzeyinde olduğu tespit edilmiştir. Yenilik yönetimi yeterlilikleri ve örgütsel bağlılık ilişkisinin; devam bağlılığı ile proje yönetimi, örgütsel kültür ve yapı, yenilik stratejisi ve girdi yönetimi boyutları arasında çok düşük pozitif düzeyde olduğu sonucuna ulaşılmıştır. Yenilik yönetimi yeterliliklerinin örgütsel bağlılık alt boyutlarını etkilediği ortaya çıkmıştır.
Covid 19 (Koronavirüs) Pandemisinin Kentler İçin Gündeme Getirdiği “Yürünebilir Kentler” ve Yürünebilirliği Destekleyen Diğer Yaklaşımlar “Walkable Cities” Brought to the Agenda by the Covid 19 (Coronavirus) Pandemic forCities and Other Approaches thatSupport Walkability
Authors: Ak Çetin Duygu , Akpınar Okan
Published: November 2022

Covid 19 (Koronavirüs) pandemisinin kentler için gözler önüne sermiş olduğu bir gereklilik artık kentsel yerleşimlerin araba odaklı olmaktan çıkarılarak daha çevreci, daha sürdürülebilir ve insanı merkeze alan yaklaşımlar ile planlanmasıolmuştur. Bu süreçte adını en fazla duyuran modelolarak“yürünebilir kentler” ve onunla birlikte yürünebilirliği destekleyen “15 dakikalık kentler”, “akıllı büyüme”, “yeni şehircilik”ve “toplu taşıma odaklı gelişme” gibiyaklaşımlarda gündeme gelmiştir.Çalışmanın amacı, farklı isimler taşımakla birlikte yürünebilirliği destekleyen ve odağına yerleştiren bu yaklaşımları bir araya getirerek “yürünebilir kentler” literatürüne katkı sağlamak ve yürünebilir kentlerin yaratılmasında gelecekte yapılabilecekçalışmalar için kuramsal bir zemin oluşturmaktır.Çalışmada bu amaçla söz konusu yaklaşımlar yürünebilirliği destekleyen özellikleri ile literatüre dayalı olarak değerlendirilmektedir.Tüm bu planlama yaklaşımları, özellikle son 20 yılda kentleşme veplanlama literatürlerinde çok tartışılmakta ve hepsinin kabul ettikleri stratejiler birçok açıdan ortaklaşmaktadır.
Rural European population facing the challenges of global citizenship education
Authors: Marbán José María , Santamaría-Cárdaba Noelia , Torrego-Egido Luis
Published: November 2022

Supporting the creation of a critical citizen, with deeply rooted community values of solidarity and active compromise to the spread and development of those values, is making means believing in a better world in which no one can nor should feel excluded. Nevertheless, this is met with differing opinions. This study approaches attitudes towards Global Citizenship Education specifically though the framework of the population of rural Europeans who participated in the Rural DEAR Agenda ‒ EYD 2015 Project. In order to do, quantitative research was carried out based on a survey and questionnaire developed. The questionnaire focused on interest in international solidarity; for example, opinions and attitudes towards injustices suffered by impoverished countries, as well as opinions surrounding the possibility of changing this situation. The results obtained reveal a shocking reality in many ways relative to international solidarity and a low level of compromise regarding taking action to change the current situation.
Decisions taken by States with authoritarian governments: economic basis and perspectives on SDG 16
Authors: Alvares-Garcia Júnior Armando
Published: November 2022

This article initially analyses the theoretical possibility that the terms «rule of law» and «human rights» in the Treaty on European Union (TEU) can be analysed from the perspective of the Economic Analysis of Law (EAL). It then focuses on the economic principles underlying decision-making to appreciate, under that perspective, the choices made by States, both at the national and international level (which could also include the commitment to the SDGs). From there, the study is oriented more towards SDG 16 proposing, summarily, to denominate with the terms «horizontal» and «vertical» two different basic perceptions on its three main areas (peace, justice, and strong institutions) and tentatively uncovering their possible impacts on the rule of law and the rights and freedoms of specific groups (e.g., LGBTQIA+ community, immigrants, refugees, etc.). It is suggested that, while the «horizontal perception» presents a socially inclusive role, the «vertical perception» tends to be more exclusionary. Seeking congruence with the above, it is also suggested that a biased perception of SDG 16 (associated with the «vertical» vision) could help authoritarian States in the exaltation of their nationalism, without forgetting that international public order, often wielded as an expression of national sovereignty, can serve as a «defensive shield» against alleged «attempts to alter» the fundamental values of the State and of the Christian roots of their societies. Simultaneously, observation of everyday political life seems to suggest that public order can be altered to the liking of populist political parties. The result seems to reveal a growing dichotomy between values (European vs. national), public orders (European, albeit incipient vs. international and domestic), and types of democracy (liberal vs. illiberal). As incidental and illustrative examples, the authoritarian drifts in Hungary and Poland are included in the study.
Deteksi Glaukoma pada Citra Fundus Retina menggunakan Metode Local Binary Pattern dan Support Vector Machine
Authors: NURFAJAR FEBI , MAGDALENA RITA , SA’IDAH SOFIA
Published: November 2022

ABSTRAKGlaukoma merupakan sebuah penyakit yang menyerang indera penglihatan dan dapat mengakibatkan kebutaan yang bersifat permanen. Meskipun penyakit ini tidak bisa disembuhkan, tetapi gejala kerusakannya dapat diminimalkan dengan melakukan pendeteksian secara dini. Deteksi glaukoma dapat dilakukan secara manual oleh oftalmologis, tetapi metode ini terbilang subyektif sebab hasil pengamatannya bergantung pada domain pengetahuan dokter, sementara di sisi lain teknik pencitraan medis modern, seperti OCT, CSLO, dan HRT berbiaya tinggi dan ketersediaan perangkatnya relatif terbatas. Pada penelitian ini, sebuah sistem berbasis machine learning untuk mendeteksi glaukoma pada citra fundus retina telah dirancang melalui proses pengolahan citra digital menggunakan metode Local Binary Pattern dan Support Vector Machine. Performansi sistem diuji pada 146 citra fundus yang terdiri dari citra fundus sehat dan glaukoma. Dengan menggunakan metode yang diusulkan, sistem mampu memberikan tingkat akurasi terbaik pada 93.15%, sensitivitas 92.30%, dan spesifisitas 93.61%.Kata kunci: Glaukoma, Local Binary Pattern, Support Vector Machine ABSTRACTGlaucoma is a disease that attacks the sense of sight and can lead to permanent blindness. Although this disease cannot be cured, the symptoms of the damage can be minimized by early detection. Glaucoma detection can be done manually by an ophthalmologist, but this method is somewhat subjective because the results of the observations depend on the domain of the doctor’s knowledge, whereas onthe other hand,  modern medical imaging techniques, such as OCT, CSLO, and HRT, are high in cost and the availability of devices is relatively limited. This research proposed a machine learning-based system to detect glaucoma in retinal fundus images through digital image processing using the Local Binary Pattern and Support Vector Machine methods. The performance of the system was tested on 146 fundus images consisting of healthy fundus images and glaucoma. By using the proposed method, the system provide the best accuracy rate at 93.15%, sensitivity 92.30%, and specificity 93.61%.Keyword: Glaucoma, Local Binary Pattern, Support Vector Machine
Analisis Stabilitas Transien pada Onshore Windfarm Terhubung VSC-HVDC Sistem Jawa Bali
Authors: SUTEJA RAI PRAMESTI , SUYONO HADI , HASANAH RINI NUR
Published: November 2022

ABSTRAKGangguan hubung singkat 3 fasa di Pulau Bali dapat menyebabkan ketidakstabilan pada sistem tenaga listrik. Sistem kelistrikan Pulau Bali bergantung pada pasokan dari Pulau Jawa dengan penghantar kabel bawah laut. Untuk memenuhi kebutuhan energi listrik di masa depan, diperlukan pengembangan sumber energi terbarukan. Penelitian ini membahas tentang kestabilitan sistem pada onshore wind farm terhubung VSC-HVDC sistem kelistrikan Jawa-Bali dengan melibatkan pengaruh gangguan hubung singkat 3 fasa. Analisis kestabilan sistem menggunakan DIgSILENT dengan metode time domain simulation. Respon sistem kembali pada frekuensi 50 Hz pada detik ke 1,622 dan tegangan 1 p.u pada detik ke 1,902. Oleh karena itu, Onshore Windfarm terhubung sistem transmisi VSC-HVDC Java-Bali memiliki respon tegangan dan frekuensi yang cepat kembali steady-state setelah ada gangguan hubung singkat 3 fasa.Kata kunci: Gangguan Hubung Singkat, High Voltage DC, Stabilitas Transien, Time Domain Simulation, Voltage Source ConverterABSTRACTA three phase short circuit in Bali island makes instabilty in power system. Bali's electricity system the supply is from Java Island with sub marine cable crossings. To meet the demand for electrical energy, it is necessary to develop renewable energy sources. This study discusses system stability on the onshore wind farm connected to the VSC-HVDC Java-Bali electrical system by involving the effect of a three phase short circuit. Analysis system stabilty by using DIgSILENT and time domain simulation method. The system response returns to 50 Hz frequency at 1,622 seconds and a voltage of 1 p.u at 1,902 seconds. Therefore, onshore wind farm connected to the VSC-HVDC Java-Bali has fast voltage and frequency response can return steady state after 3-phase short circuit.Keywords: Short Circuit, High Voltage DC, Transient Stability, Time Domain Simulation, Voltage Source Converter
Computational Thinking and Coding for Kids Training for Elementary School Teachers
Authors: Hadi Putri Dewi Indriati , Ridwan Taufik , Majid Nuur Wachid Abdul , Putri Hafiziani Eka , Zakaria Diky , Nugroho Yohanes Adi
Published: November 2022

Computational thinking and coding are thinking skills that are recently expected to be acquired by elementary school children as the era of the industrial revolution 4.0 requires students to be familiar with the use of technology. In some developed countries, the two skills have been included in elementary school curriculum. However, the situation is different in the context of Indonesia since teachers or instructors who are able to provide these skills are inadequate. Therefore, this training was intended to socialize and educate the application of coding and computational thinking, especially to elementary school teachers so that they have the ability to equip their students with those skills. The participants of this training were teachers of Labschool UPI Purwakarta. The training was conducted in one day containing the concepts and practices of ICT and computational thinking as well as coding for kids. The result of satisfaction questionnaire distributed to the participants after the training shows a good level of satisfaction in terms of training materials, delivery of materials, and the usefulness of activities as much as 71,4%, 57,1% and 92,9% consecutively. The teachers hope that follow-up trainings are carried out to increase their knowledge and ability in developing technology-based learning.
Technical Guidance Provision in Electricity Energy Saving for Teachers and Educational Staff of SDN 09 Pontianak Timur
Authors: Nugraheni Putranty Widha , Abidin Zainal Abidin , Kusumawardhani Eka , Putra Leonardus Sandy Ade , Maleiva Lalak Tarbiyatun Nasyin
Published: November 2022

The provision of electricity is crucial, so efficiency must be done because electrical energy is a top priority for residential, industrial, and outdoor lights. All tiers of society must support the government's efforts to ensure the stability of the nation's energy supply through initiatives to boost supply and conserve energy. The public, particularly the lower middle class, do not yet understand the existing technology well; the information of its benefits and drawbacks have not been equally spread. Energy researchers and experts assert that the domestic or household sector's contribution to the attempt to cut power usage is very significant due to the comparatively high share of residential consumers. A project must be carried out to provide counseling in the form of instruction on cost savings when utilizing electrical and electronic gadgets in homes and schools. The counseling results revealed that the teachers of SDN 09 Pontianak Timur were genuinely interested in what they were hearing and in the presented curriculum. Through the counseling technique it is observed that the community is becoming more conscious of the need to utilize electrical energy more intelligently and is gaining new insights into how to do so. These insights help the community promoting energy efficiency in daily life.
Upaya Meningkatkan Keterampilan Menjaga Diri Dari Perilku Seksual Berisiko Melalui Layanan Bimbingan Kelompok
Authors: Dzul Fahmi Lilik Sahal , Maulia Desi , Rakhmawati Dini
Published: November 2022

Penelitian ini di latar belakangi adanya ketidaktahuan siswa terhadap batasan perilaku antara laki-laki dan perempuan yang merupakan awal terjadinya perilaku seksual berisiko. Dampak yang terjadi yaitu kurangnya pengetahuan siswa terhadap ketrampilan menjaga diri sehingga siswa berpotensi menjadi korban perilaku seksual berisiko. Jenis penelitian menggunakan penelitian kuantitatif dengan metode penelitian Pre-Experimental Design dengan model one group pre-test post-test design. Sampel penelitian yaitu 9 siswa diambil menggunakan teknik sampel jenuh. Sebelum pemberian treatment, dilakukan pre-test dengan hasil rata-rata 6,22 berkategori kurang baik. Setelah pemberian treatment, dilakukan post-test dengan hasil rata-rata 11,33 berkategori sangat baik. Selisih dari hasil rata-rata pretest dan post-test yaitu 5,11. Berdasarkan hasil perhitungan menggunakan paired t-test menunjukkan hasil perhitungan uji t sebanyak 17,288. Sehingga, dapat disimpulkan bahwa thitung > ttabel yaitu 17,288 > 2,262, artinya Ha diterima dan H0 ditolak. Sehingga terdapat pengaruh layanan bimbingan kelompok pendidikan seksualitas untuk meningkatkan keterampilan menjaga diri dari perilaku seksual berisiko.
Sukses Akademik, Motivasi dan Perbedaan Individu: Studi Literature Review
Authors: Anwar Zainul , Rahmawati Hetti
Published: November 2022

Setiap manusia adalah unik, tidak ada satu manusia pun dari bermilyar-milyar manusia dimuka bumi ini ada yang sama, khususnya dalam kepribadian dan motivasi sehingga penting untuk terus dikaji. Tujuan studi ini untuk mengetahui berbagai perbedaan individu terkait dengan sukses akademik mahasiswa dengan mengkaji beberapa hasil penelitian yang melibatkan variabel psikologi seperti sukses akademik, kepribadian (motivasi, koping, kognisi, dan perbedaan individu) kesejahteraan sekolah dan budaya. Metode menggunakan studi literatur artikel hasil penelitian yang dipublikasikan di jurnal internasional bereputasi (mulai tahun 2018 hingga 2021) dan ditelusur melalui ScienDirect diperoleh 109 artikel tetapi hanya enam artikel yang relevan. Hasil studi menunjukkan bahwa perbedaan individu perlu dipahami secara komprehensif karena berdampak terhadap sukses akademik mahasiswa.
WI-FI-BASED INTERNET OF THINGS (IOT) DATA COMMUNICATION PERFORMANCE IN DENSE WIRELESS NETWORK TRAFFIC CONDITIONS
Authors: Ardita Michael , Orisa Mira
Published: November 2022

Currently, there are many Internet of Things (IoT) devices that use Wi-Fi networks to connect to the Internet. As the Wi-Fi network frequency band is used by many parties, the possibility of disconnecting the Internet connection with IoT devices is still high. In this research, we explored the performance of IoT on Wi-Fi networks in high traffic conditions. System testing in this study was carried out using several IoT devices at different distances from the AP. The experimental environmental conditions were also formed so that the Wi-Fi traffic was quite high, generated by software from several laptops. The test results showed that the packet loss in very crowded traffic conditions reached 100%. Round trip time (RTT) data transmission delay of less than 10 ms during normal conditions increased to thousands of milliseconds when the Wi-Fi network conditions were very heavy.
Wind Turbine Blade Dynamics Simulation under the Effect of Atmospheric Turbulence
Authors: Ismaiel Amr
Published: November 2022

Wind energy is one of the fastest growing sources of renewable energy because of its cleanliness and sustainability. Due to the turbulent nature of wind, a wind turbine experiences severe dynamic loading and faces the danger of fatigue failure. In addition, severe blade deflections imply failure by tower strikes. For this reason, the study of blade deflections under different turbulence conditions is of high importance. In this work, a wind turbine’s blade is simulated under different turbulent conditions. Four different wind fields are generated with a mean wind velocity of 12 m/s and turbulence intensities of 1, 10, 25, and 50%. The blade deflections are calculated in the out-of-plane and in-plane directions as a time-marching series with different blade azimuth positions. The higher the turbulence intensity, the severer the fluctuations of the deflections around its mean value. For the 50% turbulence intensity, the standard deviation of the out-of-plane deflection is 600% larger than that of the 1% turbulence intensity case. The maximum deflections increase significantly as well. A maximum of 3.78 m of out-of-plane tip deflection leads to the danger of a tower strike. And a positive tip deflection of 0.07 m in the in-plane direction indicates that the blade goes against its natural behavior and against the inertial loads while rotating. Continuous monitoring of wind conditions is a must, to put the turbine on brake in cases of gusts and severe turbulence. In areas of high turbulence, downwind turbines can provide a better alternative to allow blade deflections without the danger of tower strikes. Doi: 10.28991/ESJ-2023-07-01-012 Full Text: PDF
Improving the Efficiency of Budgeting in Industrial Enterprise: The case of Russia, Italy, and the Middle East
Authors: Majeed Amjed Hameed , Kosov Mikhail , Fiume Raffaele , Kuznetsov Nikolay , Vasyunina Margarita , Semin Alexander
Published: November 2022

The study improved budgeting efficiency at industrial enterprises with evidence from Russia, Italy, and the Middle East. In the era of contemporary globalization and technological advancement, a budgeting system holds paramount significance in the effective management of the financial operations and activities, enhancing the overall efficiency of the firm's cash management, mitigating the risk of finance misallocation, and improving the overall financial performance of the enterprise. However, despite its effectiveness, there is a lack of evidence supporting budgeting automation and its efficiency in managing industrial enterprises. More so, limited theoretical and practical relevance is found in the context of Russia, Italy, and the Middle East. This research intended to fill the existing research gap where a qualitative research design was opted. Primary data were collected from the budgeting heads of 3 pharmaceutical firms, each located in Russia, Italy, and Iran. In-depth interviews with 3 budgeting heads identified that the conventional incremental budgeting system needed amendment and replacement with a consolidated and contemporary yet flexible approach to bring radical improvements at the macro-environment level within the industrial enterprise. The key findings led to the development of a model to improve budgeting efficiency, comprising three components: information and analytical/accounting support for budgeting, production accounting information, and a combination of the regulated operation prices. The consolidation of these three components can yield budgeting efficiency. Doi: 10.28991/ESJ-2023-07-01-013 Full Text: PDF
Development and Implications of Controlling in the Public Sector
Authors: Vasyunina Margarita L. , Kosov Mikhail E. , Shmigol Nataliya S. , Lipatova Inna V. , Isaev Eli A. , Medina Irina S. , Guz Natalya A.
Published: November 2022

Controlling is essential for public organizations to deliver optimal performance. However, the existing literature lacks sufficient knowledge to help organizations implement better strategies to enhance control. Therefore, this study examined the concept of control in the public sector, its impact on organizational efficiency, and a key focus on implementation. This study adopted a mixed approach (qualitative and quantitative) to study control in the public sector. The literature review was used to gather qualitative data, and a survey was conducted among the managers working in Russian public organizations to determine their responses to controlling practices. The results were compared and analyzed to provide implications and recommendations. It was noted through the results that control in public organizations depends on various factors like controlling approaches and tools, organizational culture, the autonomy of management, and functional control of organizations. Each of these aspects contributes positively toward control and improves public organizations’ efficiency. Therefore, these aspects should be the core focus of public organizations to ensure greater control and efficiency. This research targeted this area to bridge the gap and determine the concept of controlling the Russian public sector. However, this research also has a limitation in that it has surveyed only 102 managers from different Russian public organizations. Doi: 10.28991/ESJ-2023-07-01-015 Full Text: PDF
Modified EDA and Backtranslation Augmentation in Deep Learning Models for Indonesian Aspect-Based Sentiment Analysis
Authors: Natasya . , Girsang Abba Suganda
Published: November 2022

In the process of developing a business, aspect-based sentiment analysis (ABSA) could help extract customers' opinions on different aspects of the business from online reviews. Researchers have found great prospective in deep learning approaches to solving ABSA tasks. Furthermore, studies have also explored the implementation of text augmentation, such as Easy Data Augmentation (EDA), to improve the deep learning models’ performance using only simple operations. However, when implementing EDA to ABSA, there will be high chances that the augmented sentences could lose important aspects or sentiment-related words (target words) critical for training. Corresponding to that, another study has made adjustments to EDA for English aspect-based sentiment data provided with the target words tag. However, the solution still needs additional modifications in the case of non-tagged data. Hence, in this work, we will focus on modifying EDA that integrates POS tagging and word similarity to not only understand the context of the words but also extract the target words directly from non-tagged sentences. Additionally, the modified EDA is combined with the backtranslation method, as the latter has also shown quite a significant contribution to the model’s performance in several research studies. The proposed method is then evaluated on a small Indonesian ABSA dataset using baseline deep learning models. Results show that the augmentation method could increase the model’s performance on a limited dataset problem. In general, the best performance for aspect classification is achieved by implementing the proposed method, which increases the macro-accuracy and F1, respectively, on Long Short-Term Memory (LSTM) and Bidirectional LSTM models compared to the original EDA. The proposed method also obtained the best performance for sentiment classification using a convolutional neural network, increasing the overall accuracy by 2.2% and F1 by 3.2%. Doi: 10.28991/ESJ-2023-07-01-018 Full Text: PDF
Continuous Capsule Network Method for Improving Electroencephalogram-Based Emotion Recognition
Authors: Wirawan I Made Agus , Wardoyo Retantyo , Lelono Danang , Kusrohmaniah Sri
Published: November 2022

The convolution process in the Capsule Network method can result in a loss of spatial data from the Electroencephalogram signal, despite its ability to characterize spatial information from Electroencephalogram signals. Therefore, this study applied the Continuous Capsule Network method to overcome problems associated with emotion recognition based on Electroencephalogram signals using the optimal architecture of the (1) 1st, 2nd, 3rd, and 4th Continuous Convolution layers with values of 64, 128, 256, and 64, respectively, and (2) kernel sizes of 2×2×4, 2×2×64, and 2×2×128 for the 1st, 2nd, and 3rd Continuous Convolution layers, and 1×1×256 for the 4th. Several methods were also used to support the Continuous Capsule Network process, such as the Differential Entropy and 3D Cube methods for the feature extraction and representation processes. These methods were chosen based on their ability to characterize spatial and low-frequency information from Electroencephalogram signals. By testing the DEAP dataset, these proposed methods achieved accuracies of 91.35, 93.67, and 92.82% for the four categories of emotions, two categories of arousal, and valence, respectively. Furthermore, on the DREAMER dataset, these proposed methods achieved accuracies of 94.23, 96.66, and 96.05% for the four categories of emotions, the two categories of arousal, and valence, respectively. Finally, on the AMIGOS dataset, these proposed methods achieved accuracies of 96.20, 97.96, and 97.32% for the four categories of emotions, the two categories of arousal, and valence, respectively. Doi: 10.28991/ESJ-2023-07-01-09 Full Text: PDF
PERSONALITY CREATIVITY IN LANGUAGE AND COMMUNICATION
Authors:   Russian State University for the Humanities, Zabotkina Vera I.
Published: November 2022

The article deals with the problem of personality creativity within the framework of the dichotomy “language VS communication”, which is built into the triad “language – creativity – cognition”. This triad is analyzed in two dimensions: from the point of view of the creativity of the language system; from the point of view of the creativity of a linguistic personality. Models and cognitive mechanisms of creativity are presented. Along with analogy and inference, there are three types of the main mechanism of creativity– deviations: pragmatic (distortion of the sign-user relationship); semantic (distortion of the sign-referent relationship); conceptual (distortion of the relationship between the conceptual structures of the original and new values). Pragmatic deviation plays a special role in the process of creative development of new meanings. The question of the boundaries of deviation and what imposes restrictions on the development of new creative meanings is considered. We prove that the limitations on the development of new creative meanings of the word are imposed by the conceptual structure of the original meaning of the word. Based on the latest achievements of Russian and foreign cognitive science, we analyze the structure of the mental lexicon as the main component that plays a leading role in creativity. The connection between creativity and the threat of manipulation is indicated. It is proved that linguistic creativity can lead to the creation of ambiguity (obscurity), which can lead to manipulation. The prospects for further research in the field of creativity are determined, namely, a cross-cultural approach to this phenomenon.
THE IDENTITY OF THE AUTHOR OF A SCIENTIFIC TEXT FROM THE PERSPECTIVE OF THE SENDER AND RECIPIENT
Authors:   National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Baklanova Irina I.
Published: November 2022

The subject of the article is the linguistic means of reflecting in a scientific text the personality of its author in terms of, firstly, the communicative intentions of the author, and secondly, the perception of the recipient of this text. The article also considers the degree of objectivity in the construction of a scientific text. It is shown that the image of the author of a scientific text, revealed in terms of the communicative intentions of the sender of the text, and the image of the author, perceived by its recipient, may not coincide. As a theoretical basis of the study, the observations of M.Yu. Fedosyuk about different types of implicit information were used. On the basis of so-called “subtext” implicit information, i.e. information, the transmission of which was a part of the hidden communicative intentions of the sender of the text, the so-called “intentional” image of the author can be deduced. On the basis of so-called “non-text” implicit information, i.e. information, the transmission of which was not included in the communicative intentions of the sender of the text, the “perceptual” image of the author can be deduced. In addition, as a basis for determining the degree of objectivity of the construction of the text the typology of the observer’s points of view, developed by B.A. Uspensky, was used. As a result of the analysis, it was found that the coincidence of the intentional and perceptual images of the author testifies to the objectivity of the construction of the text, the discrepancy – to its subjectivity.
LEGAL REGULATION OF THE ECONOMY AND SOCIAL RELATIONS IN THE STATE ENTITIES OF "WHITE" RUSSIA DURING THE CIVIL WAR
Authors: Medvedev Valentin
Published: November 2022

Many books and scientific articles have been written about the White movement, but the issues of state regulation of the economy and social relations, as well as legislation and administration of white governments in various areas of the socio-economic life of society, are still poorly understood. The few studies available are mainly aimed at revealing regional problems. This monograph covers the legal policy of the anti-Soviet governments in the field of finance and taxes, industry and transport, trade and supply in all territories of "white" Russia, reveals its common and special features and establishes what impact it had on the outcome of the civil war. The monograph is addressed to historians, political scientists, teachers and students, graduate and doctoral students of universities, as well as to everyone who is interested in the history of the Fatherland.
Identidades en el aula migrante de Tapachula por los niños haitianos
Authors: Fong Ochoa Alberto Jorge , Sima Lozano Eyder Gabriel
Published: November 2022

Las fronteras son espacios sociales en los que los fenómenos sociales se presentan con características muy particulares que, vistos y analizados desde varias disciplinas, destacan aspectos culturales, lingüísticos y sociales y dan como resultado distintas cosmovisiones de una sociedad. En este sentido, la migración transnacional de Tapachula ha influido en la constante y vertiginosa transformación del imaginario y la representación social de la zona; y como resultado, la creciente diversidad cultural y social resultante de este fenómeno plantea nuevos desafíos e interrogantes para esta sociedad que se reflejan directamente en el espacio educativo. Desde la antropología social, el presente trabajo tiene como objetivo observar las identidades que confluyen (o se representan) en un aula de clases en el que participan niños migrantes de origen haitiano. Finalmente, para entender estos cambios y dar respuesta a algunas de las posibles interrogantes que pueden surgir sobre ésta, este artículo presenta los hallazgos encontrados a lo largo de un trabajo etnográfico con el que, a través de las voces de nuestros participantes, exploramos la constante construcción de la identidad en las aulas migrantes y su relación con los cambios sociales en la región.
A CAUSAL MODEL ON WORK ENGAGEMENT OF POLICE COMMISSIONED OFFICERS IN REGION 11 CONCERNING LEADERSHIP, PERSONALITY TRAITS, AND ORGANIZATIONAL COMMITMENT
Authors: Manuel Georby Cawaling , Ligan Victoria Onyot , Bandiola Alberto Noble
Published: November 2022

This study aimed to establish the best fit structural model of work engagement of police commissioned officers in region 11. The exogenous variables in the model are leadership factors, personality traits, and organizational commitment. The endogenous variable is work engagement. 400 police commissioned officers selected through stratified random sampling responded to the survey. Data analysis used the mean, Pearson r, multiple regression, and structural equation modeling (SEM). Results showed the respondents' high leadership factors, personality traits, organizational commitment, and work engagement. Additionally, the correlation test revealed a significant relationship between the exogenous and endogenous variables. The regression results exposed the 61.2% combined effect of leadership factors, personality traits, and organizational commitment on work engagement. Only Model 5 met all goodness of fit indices among the five developed models. Further analysis of the model revealed that leadership factors, personality traits, and organizational commitment, with their select manifest variables, are predictors of work engagement. The model shows that for leadership factors, the indicators are intellectual stimulation, individualized consideration, management-by-exception, and passive leadership; personality traits are agreeableness and openness; affective and normative for organizational commitment. For work engagement, the manifest variables left in the model are vigor and dedication. The study concludes with the significance of leadership, personality, and commitment toward meaningful work engagement. Police commissioned officers can work on their leadership skills, improve their character, and practice the art of commitment to face the challenge of police work. The paper further discussed the implications for the police agency in the country.
La fabrique des émotions:
Authors: Leurquin Chloé
Published: November 2022

O livro La Fabrique des émotions, de autoria de Louis Quéré (Paris, Presses Universitaires de France, 2021) apresenta uma reflexão teórica na perspectiva da Filosofia e das Ciências Humanas e Sociais (Psicologia, História, Antropologia e Sociologia) sobre a natureza e as formas de emoção, e também sobre o que ela realiza na experiência humana. Discute a emoção na perspectiva individual e coletiva, mas a ênfase é dada à segunda. Analisa o fenômeno emoções coletivas com dados de situações de alegria, histeria e tristeza. Com o conceito e evolução do termo ressentimento, analisa emoções no âmbito da política. O livro pode contribuir no aprofundamento das discussões desenvolvidas por estudantes, pesquisadores e demais interessados pelo tema.
Management of sustainable industrial development: innovative search for an adaptive approach in Kyrgyzstan
Authors:   Kyrgyz Economic University, 58 Togolok Moldo St., 720033 Bishkek, Kyrgyz Republic, Bobushev Temirbek
Published: November 2022

From 1990 until today, diversification and in some cases a sharp decline of industrial production in Kyrgyzstan have not been properly accompanied by proactive planning and/or management strategies. The adopted 2019-2023 Strategy for Sustainable Industry Development of the Kyrgyz Republic [Decree of the Government of the KR, 2019], including its processing segment, mainly aims to foster the advancement of selected manufacturing sectors and exports, as well as to enhance the competitiveness of Kyrgyz-made industrial goods. Kyrgyzstan’s industry represents one of the key elements of the national economy contributing approx. 20.0% to its GDP [NSC, 2021]. As a rule, adaptive management approaches are effectively applied to the operations of existing large industrial enterprises. Thus, it appears imperative to examine to what extent such approaches can be applied while assessing and managing the sustainable development of small- and medium-size industrial operations, and what corresponding restrictions exist. So far, the relevant terms are reflected neither in Kyrgyzstan’s production management policies nor programs. A full-fledged application of adaptive management approaches will require significant effort. Therefore, the initial step towards their more systemic exercising could manifest itself in utilizing integrated adaptive management models to ensure achievement of specific goals as to the sustainable industrial and economic development of both Kyrgyzstan and the entire Central Asian Region.