bluuebunny/crossref_metadata_2025 huggingface dataset:
A Quantitative Analysis on the Impact of Artificial Intelligence Solutions in Accounting and Audit
Authors:   Bucharest University of Economic Studies, Romania, MIHAI Mirela-Simina
Published: July 2023

The purpose of this article is to highlight the role of technological, organizational and environmental contexts in the case of the implementation of Artificial Intelligence in the financial sector. As a methodology, the author used statistical tests applied to primary data collected by means of a questionnaire in the form of an online survey with firms that have accounting, financial audit and tax consulting activities. For the study, based on the analysis of specialized literature, seven corresponding hypotheses were developed for three research questions based for the purpose to find out if the implementation of solutions based on Artificial Intelligence is influenced by the technological, organizational and environmental context (TOE Framework, for short). The TOE Framework elements used in this paper are: technological readiness, IT infrastructure, relative advantage, organizational readiness, top management support, industry characteristics, and government regulations. The result of the study shows that artificial intelligence in the field of financial services is significantly influenced by: IT infrastructure, top management support, industrial characteristics, government regulations. The primary data used were collected from large accounting companies and Romanian SMEs.
Implications of Integrating SAF-T into an ERP System
Authors:   Bucharest University of Economic Studies, Romania, DARIE Casiana Maria , IONESCU Bogdan-Stefan ,   Bucharest University of Economic Studies, Romania, BRAGA Viorica ,   Spiru Haret University, Campulung, Romania
Published: July 2023

The integration of SAF-T (Standard Audit File for Tax) into an ERP system helps companies improve their tax operations by simplifying tax reporting, increasing operational efficiency, legal compliance and data quality. In addition, SAF-T integration can help companies optimize their processes and correct their workflow, leading to greater efficiency and better data visibility. It is important for all companies to ensure that the accounting system they use is compatible with the SAF-T format and that the implementation is done correctly. Therefore, the long-term benefits may outweigh the costs and risks involved, as evidenced by the data collected using the questionnaire. The purpose of this research is to provide a good understanding of the implications associated with the integration of SAF-T into an ERP system, so that companies can make informed decisions about the implementation of this solution. The questionnaire conducted on a number of significant respondents led to the achievement of the set objective. Concurrently, the advantages and disadvantages observed for all involved parties were pursued: companies, suppliers, and tax administrations, thus outlining a clear picture of the requirements to which taxpayers must respond from the beginning of year 2022.
Cryptoassets – Perspectives of Accountancy Recognition in the Technological Era
Authors:   West University of Timisoara, Romania, BUNGET Ovidiu Constantin , TRIFA Georgiana Iulia
Published: July 2023

The growth of the cryptoassets phenomena, along with the lack of applicable accounting rules, offers difficult issues for financial reporting specialists in Romania. Therefore, handling the accounting of cryptoassets requires a detailed understanding of both cryptoassets technology and operation, as well as key accounting concepts. In the absence of steps made to control this sort of transactions through accounting standards, holders of cryptoassets are unable to apply the proper accounting treatment for the activity in which they are involved. The regulatory international framework for cryptoassets needs to be consistent and standards should be developed to safeguard holders. The European Economic and Social Committee believes it is important to treat non-financial products based on blockchain technology as physical assets, and not as financial instruments, following the principle of "same activity, same risk, same rules". Others, argue that digital currencies should be recorded as: cash equivalents or cash, inventories, financial or intangible assets. As a result, the purpose of this article is to overview the accounting treatment perspectives given by the IFRS in comparison with the Order of the minister of public finance no.1802/2014 regarding the possible treatments of cryptoassets. Furthermore, the authors believe this article can contribute to accounting research by providing a direction to accounting regulators. Based on the review of specialised literature, existing standards and legislation, the paper indicates that the relevant accounting approaches to cryptoassets are as intangible assets, stock or fixed assets held for sale. However, they could also be seen as means of payment, like foreign currency, even if they do not meet the characteristics of cash. The perspectives on the taxation of cryptoassets are provided by analysing the types of taxes and the VAT regime applicable to cryptoassets, according to the Romanian Fiscal Code, the existing ANAF rules and the VAT Directive at European level. At the same time, the authors analysed and presented certain statistical data, such as the market capitalisation of cryptoassets, the degree of acceptance and the usage degree of cryptocurrencies worldwide, which show that there is a tendency to increase their use.
Embedding the Sustainability Development Goals in Universities
Authors:   The Bucharest University of Economic Studies, DUMITRASCU Luminita Mihaela
Published: July 2023

Universities are playing an important role in achieving a sustainable future. Issues related to sustainable development and the implementation of the United Nations Sustainable Development Goals (UN SDGs) by 2030 are very important for universities now, receiving significant importance and attention in practice. Within the current research paper a qualitative methodology was used to explore the way universities integrate SDGs into their activity. The paper presents also the findings from international research and practices on how to achieve and implement the United Nations Sustainable Development Goals (UN SDGs) into the university curriculum. The results reveal that many actions are taken for acquiring the comprehensive understanding of the Sustainable Development Goals (SDGs) in a university context. This research is useful for professors, students, and businesses. The research contributes to the business education by exploring how Sustainable Development Goals (SDGs) could be implemented in universities in a modality that ensures students’ engagement and motivation in addressing social, economic, and environmental concerns.
KAJIAN SEMIOTIK JEAN BAUDRILLARD DALAM IKLAN TELEVISI NESTLE BEAR BRAND
Authors: Nararya Raden Roro Widya Dhana Kusuma , Laksana Rangga Cahyo Mukti
Published: July 2023

Iklan sebagaimana yang disampaikan oleh Kotler harus dapat memuat pesan yang menarik perhatian, mempertahankan ketertarikan, membangkitkan keinginan, serta menggerakkan tindakan. Dalam hal ini, iklan televisi Nestle Bear Brand berusaha menyajikan pesan melalui tanda-tanda visual berupa naga putih yang masuk ke dalam kaleng susu beruang.  Sebagai bagian dari masyarakat yang mengonsumsi tanda-tanda visual tersebut, penulis ingin mendapatkan kesimpulan akademis terkait absurditas kode dalam iklan televisi Nestle Bear Brand yang hingga kini masih menjadi perbincangan publik.  Dengan mengkaji fenomena tersebut dalam perspektif semiotika Jean Baudrillard, penulis mendapati kesimpulan bahwasanya tidak ada kebenaran absolut dalam sebuah iklan, yang ada hanya simulasi. Absurditas kode yang diciptakan oleh iklan televisi Nestle Bear Brand adalah sebuah media dalam menyampaikan pesan. Sebagai produsen makanan dan minuman terbesar di dunia, Nestle Bear Brand ingin menciptakan realitas untuk produknya guna lebih menanamkan citra di benak audiens. Adapun makna dari tanda visual yang diciptakan adalah bagaimana produsen susu steril ini selalu menjaga kualitas produknya hingga khasiatnya tidak perlu diragukan lagi, terdepan dalam hal menjaga keseimbangan tubuh dari berbagai ancaman penyakit.
PENGEMBANGAN KOMPONEN ANATOMI MANUSIA SEBAGAI INSPIRASI DESAIN BATIK MUSKULOSKELETAL
Authors: Pristianto Arif , Aranti Wulan Adis
Published: July 2023

Batik merupakan aset seni dan budaya yang memiliki ragam warna dan corak dengan estetika yang tinggi. Seni batik menunjukkan identitas bangsa Indonesia. Seiring dengan perkembangan zaman dan teknologi, kemampuan inovasi manusia juga semakin berkembang sehingga banyak inovasi yang bermunculan. Inovasi dalam desain batik dapat terinspirasi dari kehidupan sehari-hari, salah satu hal unik yang menarik adalah kompleksitas struktur tubuh manusia. Fisioterapi mempelajari struktur tubuh manusia dan sistem gerakan serta masalah yang berkaitan dengan gerakan. Hal ini mengilhami lahirnya desain batik dengan tema komponen tulang dan otot (musculoskeletal) pada tubuh manusia. Penelitian dilakukan dengan metode research and development yang diawali dengan pembuatan desain. Setelah desain dibuat dan disempurnakan menggunakan penilaian ahli oleh ahli batik dan fisioterapis. Hasil uji expert judgement menunjukkan kelayakan desain ini, meskipun terdapat beberapa kekurangan. Namun hal tersebut tidak terlalu signifikan agar desain batik musculoskeletal yang terinspirasi dari sistem anatomi tubuh manusia tetap sesuai dengan fungsinya. Pencetakan dilakukan pada kain menggunakan canting cap.
PERANCANGAN VIDEO ANIMASI 2D SEBAGAI MEDIA EDUKASI PEMBELAJARAN DARING DI MASA PANDEMI COVID-19
Authors: Soliha Mutia Putri , Pertiwi Elianna Gerda , Kalbuadi Gandung Anugrah
Published: July 2023

Pandemi COVID-19 merupakan sebuah peristiwa yang telah menjadi sorotan dunia sejak tahun akhir 2019.  Berbagai upaya juga serentak dilakukan oleh satu persatu negara diseluruh penjuru dunia agar meminimalisir perpindahan virus.  Di Indonesia, pelaksanaan pembelajaran di semua jenjang pendidikan dilakukan secara daring. Dalam setiap jenjang pendidikan di Indonesia, sekolah dasar adalah salah satu tingkat pendidikan yang mengalami kendala belajar terbesar dalam pembelajaran daring. KBM secara daring ternyata memiliki berbagai persoalan yang dirasakan oleh siswa, guru, dan orang tua sebagai guru nomor dua atau pendampingan siswa belajar dirumah. Berdasarkan Penelitian oleh Agus Purwanto dkk., pada 3 pihak terdampak sekolah daring yang dilakukan pada wilayah provinsi Banten, kendala yang dirasakan siswa adalah Sulit mengerti materi yang diberikan secara daring, rindu teman, berkurang uang jajan, harus berbagi gawai dengan anggota keluarga dan distraksi lainnya. Orang tua juga memiliki kendala yakni harus mengeluarkan biaya kuota dan gawai, belum terlalu mengenal aplikasi belajar selain whatsapp, sulit membagi waktu untuk mengajari anak, dan lain sebagainya. Guru juga memiliki kendalanya sendiri seperti Siswa kurang rzesponsive dan antusias, terkadang tidak serius mengerjakan tugas, berpikir ekstra menyiapkan materi dan teknik penyampaian yang menarik, dan lain sebagainya. Oleh sebab itu, kemudian peneliti membuat sebuah perancangan yang berjudul “Perancangan Video Pendek Animasi 2D Sebagai Media Alternatif Edukasi “Fenomena Sekolah Dalam Jaringan Selama Masa Pandemi Covid-19 2020”.
IMPLEMENTASI WEBINAR SEBAGAI MEDIA KOMUNIKASI DAN INFORMASI DI ERA NEW NORMAL PANDEMI COVID-19
Authors: Firman Reza Ramadani , Fitriati Trimalda Nur
Published: July 2023

Era new normal saat ini masih cukup ketat, dikarenakan Indonesia belum begitu pulih dari kasus pandemi covid-19, menyebabkan beberapa kegiatan atau kebiasaan yang dilakukan masyarakat berubah. Seperti halnya yang terjadi pada dunia pendidikan khususnya perguruan tinggi di Indonesia. Mahasiswa dituntut untuk belajar online dari rumah bersamaan dengan kegiatan lain seperti seminar. Pada era revolusi industri 4.0 seperti sekarang merupakan sesuatu yang harus dipahami dan diimplementasikan. Tren saat ini, informasi dan pesan pembelajaran disebar luaskan dengan menggunakan media berbasis teknologi internet webinar. Webinar juga digunakan sebagai metode dalam berkomunikasi yang efektif di masa pandemi Covid-19 berlangsung. Webinar dimanfaatkan sebagai salah satu strategi komunikasi yang baik bagi perguruan tinggi dan sebagai sarana untuk memudahkan perguruan tinggi dalam menjangkau khalayak dalam jumlah besar. Salah satu kampus yang memanfaatkan webinar adalah kampus Institut Teknologi Telkom. Institut Teknologi Telkom memanfaatkan terobosan teknologi webinar ini selama masa pandemi Covid-19 berlangsung. Penelitian ini menggunakan pendekatan secara Kualitatif. Penggunaan pendekataan ini bertujuan untuk mengetahui gambaran secara umum tentang fenomena yang telah dialami atau dirasakan oleh subjek penelitian. Metode deskriptif kualitatif digunakan sebagai jenis penelitian. Teori webinar yang digunakan dalam penelitian ini merupakan teori dari Verma [1], Tamime dalam [2], dan Durahman & Noer [3].
PEMANFAATAN LIMBAH KULIT KOPI SEBAGAI PEWARNA ALAM PADA MEDIA KERTAS DAUR ULANG
Authors: Kharishma Vidya , Agustin Heni , Baskoro Lahandi
Published: July 2023

Salah satu komoditas unggulan petani Indonesia berperan dalam peningkatan pertumbuhan ekonomi Indonesia yang dapat mensejahterakan masyarakat adalah tanaman kopi. Pada komoditas kopi, biasanya yang diperjualbelikan adalah biji kopi, sementara kulit kopi yang merupakan 40-45% bagian dari buah menjadi limbah organik yang dapat merusak lingkungan. Limbah tersebut perlu dimanfaatkan sebagai praktik zero waste untuk mendukung ekonomi hijau. Eco-dye merupakan salah satu metode yang digunakan untuk mengambil warna dari alam. Eco-dye dapat menjadi solusi pemanfaatan limbah kulit ceri kopi sebagai pewarna alam. Tujuan penelitian ini adalah meriset bagaimana limbah kulit kopi dapat dimanfaatkan sebagai pewarna organik pada kertas daur ulang. Metode penelitian ini menggunakan metode eksperimen dan menganalisis dengan metode kualitatif deskriptif. Pada proses pembuatan kertas daur ulang akan ditambahkan pewarna alami dari hasil pengolahan limbah kulit ceri kopi. Penelitian ini menggunakan kulit ceri kopi jenis kopi robusta dan kopi arabika yang populer di Indonesia. Komposisi pewarna pada kertas daur ulang bervariasi untuk menguji hasil warna dari setiap perlakuan eksperimen. Hasil penelitian menunjukan bahwa limbah kulit kopi sukses digunakan sebagai pewarna organik pada kertas daur ulang. Hasil penelitian ini dapat memberikan alternatif praktis bagi industri UMKM untuk memanfaatkan limbah kulit kopi sebagai pewarna alami yang ramah lingkungan.
Integrating Solar PV System with Pumped Hydroelectric Storage at Mutah University of Jordan
Authors: Zeidan Mahmoud , Al-soud Mohammed , Dmour Mothana , Alakayleh Zuhier , Al-Qawabah Safwan
Published: July 2023

This paper focuses on designing and assessing Pumped Hydroelectric Energy Storage Systems (PHES), connected to the grid and PV system for self-consumption structured at Mutah university in an area of high solar potential. In focusing on PHES and PV literature was made to have data on the field, based on the grid code needed in Jordan. Next, a prospection to find the proper location for the installation was done. Afterward, a load profile was inserted to know the energy demand of the university. Then The productivity of the solar power plant of Mutah University was included. Finally, MATLAB software was used to realize the amount of energy to be stored, this data was used to implement the system which was chosen and sized. PHES layout was created to find the most accurate values for parameters to optimize the system performance, and to investigate the loss analysis. The system attains 9230.89 MWh/year. An annual load yields 4430 MWh/year, which covers the Mutah university demand with an estimated saving of 2039773 JD.
Arabic Chatbot Evaluation Based on Extractive Question-Answering Transfer Learning and Language Transformers
Authors: Alruqi Tahani N. , Alzahrani Salha M.
Published: July 2023

Chatbots are computer programs that use artificial intelligence to imitate human conversations. Recent advancements in deep learning have shown interest in utilizing language transformers, which do not rely on predefined rules and responses like traditional chatbots. This study provides a comprehensive review of previous research on chatbots that employ deep learning and transfer learning models. Specifically, it examines the current trends in using language transformers with transfer learning techniques to evaluate the ability of Arabic chatbots to understand conversation context and demonstrate natural behavior. The proposed methods explore the use of AraBERT, CAMeLBERT, AraElectra-SQuAD, and AraElectra (Generator/Discriminator) transformers, with different variants of these transformers and semantic embedding models. Two datasets were used for evaluation: one with 398 questions and corresponding documents, and another with 1395 questions and 365,568 documents sourced from Arabic Wikipedia. Extensive experimental works were conducted, evaluating both manually crafted questions and the entire set of questions, using confidence and similarity metrics. The experimental results showed that the AraElectra-SQuAD model achieved an average confidence score of 0.6422 and an average similarity score of 0.9773 on the first dataset, and an average confidence score of 0.6658 and similarity score of 0.9660 on the second dataset. The study concludes that the AraElectra-SQuAD model consistently outperformed other models, displaying remarkable performance, high confidence, and similarity scores, as well as robustness, highlighting its potential for practical applications in natural language processing tasks for Arabic chatbots. The study suggests that the AraElectra-SQuAD model can be further enhanced and applied in various tasks such as chatbots, virtual assistants, and information retrieval systems for Arabic-speaking users. By combining the power of transformer architecture with fine-tuning on SQuAD-like large data, this trend demonstrates its ability to provide accurate and contextually relevant answers to questions in Arabic.
Applications of Machine Learning in Subsurface Reservoir Simulation—A Review—Part I
Authors: Samnioti Anna , Gaganis Vassilis
Published: July 2023

In recent years, Machine Learning (ML) has become a buzzword in the petroleum industry with numerous applications which guide engineers in better decision-making. The most powerful tool that most production development decisions rely on is reservoir simulation with applications in numerous modeling procedures, such as individual simulation runs, history matching and production forecast and optimization. However, all these applications lead to considerable computational time and computer resources associated costs, rendering reservoir simulators as not fast and robust enough, thus introducing the need for more time-efficient and smart tools, like ML models which are able to adapt and provide fast and competent results that mimic the simulator’s performance within an acceptable error margin. The first part of the present study (Part I) offers a detailed review of ML techniques in the petroleum industry, specifically in subsurface reservoir simulation, for the cases of individual simulation runs and history matching, whereas the ML-based Production Forecast Optimization applications will be presented in Part II. This review can assist engineers as a complete source for applied ML techniques since, with the generation of large-scale data in everyday activities, ML is becoming a necessity for future and more efficient applications.
Review of Disease-Specific microRNAs by Strategically Bridging Genetics with Epigenetics in Oral Squamous Cell Carcinoma
Authors: Gintoni Iphigenia , Vassiliou Stavros , Chrousos George P. , Yapijakis Christos
Published: July 2023

Oral squamous cell carcinoma (OSCC) is one of the most prevalent human malignancies and a global health concern with a poor prognosis despite therapeutic advances, highlighting the need for a better understanding of its molecular background. The genomic landscape of OSCC is well-established and recent research has focused on miRNAs, which regulate gene expression and may be useful as non-invasive biomarkers. A plethora of findings regarding miRNA expression have been generated, posing challenges for their interpretation and identification of disease-specific molecules. Hence, we opted to identify the most important miRNA molecules by bridging genetics and epigenetics, focusing on the key genes implicated in OSCC development. Based on published reports, we have developed a custom panel of 15 major oncogenes and a second panel of 5 major tumor suppressor genes. Following a miRNA/target interaction analysis and a comprehensive study of the literature, we selected the miRNA molecules, which target the majority of each gene panel and are reported to be downregulated or upregulated in OSCC, respectively. As a result, miR-34a-5p, miR-155-5p, miR-124-3p, miR-1-3p and miR-16-5p appeared to be the most OSCC-specific. Their expressional patterns, their verified targets and the signaling pathways affected by their dysregulation in OSCC, are thoroughly discussed in this review.
Large Eddy Simulation of Utility-Scale Wind Farm Sited over Complex Terrain
Authors: Singh Jagdeep , Alam Jahrul
Published: July 2023

Wind energy is a rapidly expanding renewable energy technique. Wind farm developers need to understand the interaction between wind farms and the atmospheric flow over complex terrain. Large-eddy simulations provide valuable data for gaining further insight into the impact of rough topography on wind-farm performance. In this research, we investigate the influence of spatial heterogeneity on wind turbine performance. We conducted numerical simulations of a 12×5 wind-turbine array on various rough topographies. First, we evaluated our LES method through mesh convergence analysis, using mean vertical profiles, vertical friction velocity, and resolved and subgrid-scale kinetic energy. Next, we analyze the effects of surface roughness and dispersive stresses on the performance of fully developed large wind farms. Our results demonstrate that the ground roughness element’s flow resistance boosts large wind-farm power production by almost 68% in fully aerodynamic rough surface compared to flat terrain. Dispersive stress analysis revealed that the primary degree of spatial heterogeneity in the wind farm is in the streamwise direction, which is the “wake-occupied” region, and the relative contribution of dispersive shear stress is almost 45% to the overall drag. We also observed that the power performance of the wind farm in complex terrain outperforms the drag. Our study has implications for improving the design of wind turbines and wind farms in complex terrain to increase their efficiency and energy output.
The Feasibility of Using Smooth Steel Fiber Extracted from Waste Tires to Improve the Compression Properties of Concrete
Authors: Rahma Afif , Al Hafez Reem , Alwadi Mohamed Hajem
Published: July 2023

Currently, the design of the concrete mix is an important part of the environmental problem. In front of this question, engineers face a major challenge that is addressed in two ways. On one hand, how do they use its component materials to improve its mechanical properties, on the other hand how do they use less polluting materials?

Hence, in an environmental and economical view, laboratory tests were carried out on samples of concrete reinforced with smooth steel fiber extracted from the waste tires, in order to assess its impact and to prove its mechanical feasibility for these purposes.

Consequently, laboratory results have shown satisfactory improvement in the behavior of concrete under compression loads in the elastic stage and an increase in ductility and toughness of the matrix in the plastic stage.

Besides, taking into account the discontinuity and the structural disturbances observed during the loading of samples in the post-elastic state, a method has been proposed to calculate "the effective toughness and toughness Index of fiber concrete; on the other hand, this method has helped to better optimize length and slenderness of fibers for better use of this recycled material
A Rare Case of Complete-Immunotherapy-Responsive Metastatic NSCLC with Long Lasting PFS: A Case Report and a Literature Review
Authors: Izzo Paolo , Codacci-Pisanelli Massimo , Izzo Luciano , Molle Marcello , Polistena Andrea , Sibio Simone , Campagnol Monica , Lauro Augusto , De Intinis Claudia , Izzo Sara
Published: July 2023

(1) Background and introduction: Lung cancer is a prevalent and deadly disease globally. Non-small cell lung cancer (NSCLC) is the most common subtype, comprising 85% of cases. (2) Case report: A 65-year-old ex-smoker man presented to our facility with nocturnal cough. Various investigations revealed that he had metastatic NSCLC, for which he underwent chemotherapy with cisplatin and gemcitabine, followed by immunotherapy with Nivolumab. He achieved a complete response to the therapy and has remained free from recurrence for over 7 years since the initial diagnosis. (3) Discussion and Conclusion: The treatment of metastatic NSCLC remains a significant therapeutic challenge, but the implementation of new therapeutic techniques has expanded the possibilities of achieving complete and durable eradication of the disease.
Biological Membrane with Antimicrobial Activity Based on Lyophilized and Decellularized Bovine Pericardium Impregnated with Vancomycin or Silver Nanoparticles
Authors: Collatusso Daniele de Fátima Fornazari , Dantas Leticia Ramos , Suss Paula Hansen , Rocha Jaime Lopes , Loureiro Marcelo de Paula , Tuon Felipe Francisco
Published: July 2023

Introduction: Infections associated with medical implants pose significant challenges to healthcare, demanding the development of new effective antimicrobial strategies. This study focuses on the creation of a novel biological membrane with enhanced antimicrobial properties by with the incorporation of either vancomycin or silver nanoparticles. Methods: Pericardium samples were impregnated with either silver nanoparticles (AgNPs) or vancomycin (VAN). The antimicrobial activity of the membranes was assessed through qualitative microbiological analysis, biofilm production and animal in vivo model of infection. Histological analysis was performed on the pericardium samples, and quantitative microbiological analysis was conducted on the tissue from the animal model and biocompatibility evaluation. Statistical analyses were carried out using appropriate tests. Results: Microbiological tests confirmed both VAN and AgNP showed inhibition halos against bacteria. Histological analysis indicated minimal inflammatory response and bacterial presence in VAN and AgNP groups compared to the control group revealed reduced bacterial presence. Biomechanical testing showed that polypropylene had the lowest tensile strength, while AgNP-impregnated pericardium exhibited lower resistance than VAN-impregnated and control pericardium. Conclusion: Lyophilized and decellularized bovine pericardium as a substrate, combined with the incorporation of vancomycin or silver nanoparticles, provides a versatile platform for combating infections associated with medical implants.
Environmental Philosophy: Rethinking Climate Change through the Jellyfish Metaphor
Authors: Juraev Zuhriddin , Ahn Young-Jin
Published: July 2023

This treatise offers a philosophical odyssey into the exigency of conservation within the broader context of an increasingly interconnected world, beset by the perils of globalization, climate change, and the looming specter of global warming. Employing the evocative metaphor of a jellyfish, it endeavors to shed light on the paramount role of humanity as the principal protagonist in the saga of environmental predicaments, thereby accentuating our profound moral responsibility to navigate the labyrinthine pathways toward viable solutions. While this discourse abstains from presenting empirical or case-specific inquiries, it unfurls an incisive analytical vantage point that enriches our cognitive grasp of the intricate interplay between human societies and the pristine realms of the natural order. By expounding upon poignant exemplars of environmental degradation and unveiling the resplendent tapestry of statistical observations, the profound ethical imperatives that undergird the imperative to confront predicaments such as climate change are thrust into the limelight of intellectual inquiry. Consequently, by delving deep into these philosophical bedrocks, this magnum opus augments our erudition concerning the multifaceted nexus that binds humankind to their surroundings, thus affording us a glimpse into the subtle tapestry of a complex relationship that must be diligently nurtured and preserved.
Strategy for Implementation of Seaworthiness of Large Pelagic Purse Seine at Nizam Zachman Ocean Fishing Port
Authors: Alfianto Nur , Suherman Agus , Suryanti Suryanti , Hernuryadin Yayan
Published: July 2023

To realize sustainable capture fisheries management, Nizam Zachman as an ocean fishing port in practice has taken action to regulate fishing vessels and large pelagic purse seine fishing gear which is a form of control on the application of fishing vessel seaworthiness in an effort to ensure compliance with provisions on safety aspects and the seaworthiness of fishing activities. This study aims to examine and determine the priority strategy of Nizam Zachman ocean fishing port in implementing the seaworthiness of large pelagic purse seine vessels. The analytical method used is descriptive statistics using SWOT and AHP analysis. The results showed that the SWOT analysis based on internal and external factors in the IFAS and EFAS matrices obtained factor values of 0.36 and -0.1 which were located in quadrant IV or the S-T strategy, which mean by strengthening the role of Nizam Zachman ocean fishing port in complying with rules for purse seine owners large pelagic with good supervision in supporting the sustainability of fishery resources. The results of the AHP analysis of prioritising the four
implementation aspects of the fishing vessel seaworthiness policy are on the communication aspect (0.346) by means of holding regular outreach; the disposition aspect (0.242) by systematically assessing seaworthiness and the need for evaluation; the resource aspect (0.234) by increasing the number and capacity of fishing vessel seaworthiness inspectors, and on the bureaucratic aspect (0.177), by applying the rules of supervision with prevention through assistance to large pelagic purse seine owners.
Space Syntax: Expression of Science on User Flows in Open and Closed Spaces Aimed at Achieving SDGs
Authors: Leite Paulo Wladinir da Luz , Almeida Silva Caliane Christie Oliveira de , Dal Moro Leila , Bodah Brian William , Mores Giana de Vargas , Piccinato Junior Dirceu , Engel Amanda , Santosh M. , Neckel Alcindo
Published: July 2023

Space syntax can be potentially applied for the evaluation of quality of user flows particularly in solving problems of sustainable projects in spaces intended for users to move around. This study aims to analyze the concepts of pedestrian flows (open and closed) by space syntax based bibli-ographical approach on a global scale, demonstrating the capability of improvements in Sus-tainable Development Goals (SDGs) as applied to the architecture of sustainable flows. Scopus theoretical reference bases were used, which are directly related to the theme of space syntax in open and closed spaces. Frequency analyzes were carried out, applying the content analysis, to identify words with a degree of similarity, related to “space syntax: flow in urban environ-ments” and “space syntax in closed built systems”, in relations to the SDGs. The results show that pedestrian flows identified in the literature aid to understand the global production on space syntax in open and closed spaces, directed to user flows in the built environment, where many environments of flows in the built space analyzed become unsustainable because they do not present full flow efficiency. In our study on space syntax, the following central terms were identified: pedestrian movements (open urban systems) and space (closed built systems), which allows a better understanding of the flows, highlighting the importance of the urbanist architect on the functionality of user flows in sustainable architectural projects on a global scale. The most frequent categories for open environments were the terms space and form and for closed envi-ronments were space and flow.
Phytochemical Profiling and Pharmacological Activities of Rydingia Michauxii: A Review
Authors: Tahmasebi Aminallah , Jamali Babak , Atabaki Vahideh , Min Hye Jung , Lee Chul Won
Published: July 2023

Bioactive plant compounds, also known as phytochemicals, are essential for plant resistance, growth, and development. These chemicals often possess therapeutic properties that have been used in traditional medicine for centuries as herbal remedies for a variety of diseases. As a member of the Lamiaceae family, Rydingia (Syn: Otostegia) is found in Asia and northeastern Africa. R. michauxii, is a unique shrub that grows in the Southern region of Iran, Fars province. Rydingia species have been used as traditional herbal medicine in Iran for many years. It seems that R. michauxii offers great potential for in-depth research on its diverse biological properties, especially its antioxidant and lipid-lowering effects. Nevertheless, no clinical investigation has been carried out on the phytochemical characteristics of this plant to date. Therefore, this study aims to contribute to the scientific knowledge on the pharmacological properties of R. michauxii and its phytochemical compounds and encourage researchers to evaluate its biological properties in animal models. In this study, all available scientific literature was compiled and all phytochemical and pharmacological properties of the R. michauxii plant were investigated, including antibacterial, antifungal, antiviral, antioxidant, antimalarial, cytotoxic, and lipid-lowering effects, which may prove useful in developing novel formulations with greater therapeutic benefits in clinical applications.
Rapid Resolution of Life-Threatening Hypertriglyceridemia after Evinacumab Administration in a Pediatric HSCT Recipient: A Case Report
Authors: Fachin Alice , De Carlo Chiara , Maestro Alessandra , Zanon Davide , Barbi Egidio , Maximova Natalia
Published: July 2023

Evinacumab, a human monoclonal antibody against angiopoietin-like protein 3 (ANGPTL3), has recently been approved by U.S. Food and Drug Administration as an add-on therapy for homozygous familial hypercholesterolemia (HoFH) in patients of 12 years and older. Its role as a triglyceride-lowering drug is also emerging in the literature. However, it has not been approved for this indication yet, neither in the adult nor in the pediatric population. We describe the case of a 10-year-old boy who underwent an allogeneic hematopoietic stem cell transplant for acute lymphoblastic leukemia complicated by chronic graft–versus–host disease (GVHD) and presented life-threatening refractory hypertriglyceridemia due to the concomitant use of ruxolitinib and sirolimus. After the failure of the insulin treatment and due to the technical impossibility of performing lipid apheresis, we underwent the child to evinacumab treatment, obtaining a dramatic rapid reduction in triglyceride and cholesterol levels. This is the first report of a pediatric patient younger than 12 years in Europa receiving evinacumab to treat severe hypertriglyceridemia. The therapy with angiopoietin-like proteins inhibitors has been effective, safe, and well-tolerated in our patient, suggesting that evinacumab may be used in the pediatric population when other therapeutic strategies are ineffective or contraindicated.
Properties and Stability of Encapsulated Pomegranate Peels Extract Prepared by Co-crystallization
Authors: Chezanoglou Evangelos , Goula Athanasia M.
Published: July 2023

Recently, there has been a lot of interest in the phenolics of pomegranate peels because of their health-promoting effects. The incorporation of encapsulated phenolic extracts in functional foods, beverages, and dietary supplements can enhance their nutritional and health benefits. This paper aims to provide an overview of the encapsulation of pomegranate peel phenolic extract by co-crystallization, focusing on the properties of the encapsulated extract. Pomegranate peel extract encapsulated in sucrose by co-crystallization at conditions determined in our previous work is characterized by evaluating its properties; moisture content, bulk density, solubility, hygroscopicity, color, degree of encapsulation by thermograms, crystallinity by X-ray scattering, microstructure by scanning electron microscope, and storage stability in terms of total phenolic content and antioxidant activity. The co-crystallized powder had a low moisture content (0.59%) and hygroscopicity (0.011%) and a high bulk density (0.803 g/cm3) and solubility (61 s). Its total phenolic content decreased by only 0.56% after storage at 60oC for 45 days, whereas its antioxidant activity was maintained at levels higher than 84%. The differential scanning calorimetry and the X-ray scattering techniques proved the successful encapsulation in the sucrose matrix and the fact that the extract remained liquid inside the porosity of the sucrose crystals.
Leveraging ChatGPT in Android App Development: A Case Study on Supporting Novice Developers in Creating Successful Apps
Authors: Al-Khiami Mohamad Iyad , Jaeger Martin
Published: July 2023

OpenAI has managed to turn 100 million heads in two months towards their new Language model tool (LM) ChatGPT. The third generation Generative Pretrained Transformer (GPT-3) has the capacity to tackle simple to complex and sophisticated problems, while providing reasoning behind its generated answers. ChatGPT can be used to increase productivity and improve efficiency and face challenging problems. Programming mobile applications is a challenging task that requires professional software engineers, skills and abilities to be developed. The following paper takes a case study approach to assess how novice app developers can use ChatGPT to generate Java scripts that will be used in Android studio to create a functional application. The results after, many iterations and ongoing conversations with ChatGPT managed to create an application for the anticipated function. Important insights have been drawn from the case study that could set the ground for any novice user seeking to create applications using Java scripting and Android Studio.
The Impacts of COVID-19 and Roles of Artificial Intelligence on Energy Sector: An Analytical Review on the Pre-, Mid- and Post-Pandemic Perspectives
Authors: Arsad Siti Rosilah , Hasnul Hadi Muhamad Haziq , Mohd Afandi Nayli Aliah , Ker Pin Jern , Tang Shirley Gee Hoon , Mohd Afzal Madihah , Ramanathan Santhi , Chen Chai Phing , Krishnan Prajindra Sankar , Tiong Sieh Kiong
Published: July 2023

Abstract: The COVID-19 pandemic has disrupted global energy markets and caused significant socio-economic impacts worldwide. The pandemic has also impacted the energy sector, with demand for energy reducing due to lockdowns and reduced economic activity. Hence, this paper aims to provide a comprehensive and analytical review of the impact of COVID-19 on the energy sector and discuss the potential role of artificial intelligence (AI) in mitigating some of these effects. This review examines the changes in energy demand patterns resulting from the pandemic and the implications for the energy industry, including the shifts in policymaking, communication, digital technology, energy conversion, environmental, energy market, and power system operation. The analysis of the energy pattern is discussed according to the timeframes which include pre-, mid-, and post-pandemic periods. Furthermore, we explore how AI can be used to improve energy efficiency, optimize energy use, and reduce energy wastages. The potential for AI to contribute to developing more efficient and sustainable energy systems has also been addressed. Lastly, we highlighted AI’s challenges, which play a significant role in the energy sector's response to the COVID-19 pandemic. The recommendations for AI applications in the energy sector for the transition to a more sustainable energy future are outlined. Information corroborated in this review is expected to provide important guidelines for crafting future research areas and directions in preparing the energy sector for any unforeseen circumstances or pandemic-like situations.
Experimental and simulation study on welding characteristics of GMAW Parameters for Q345qD Thick-Plate-Bridge Steel
Authors: Zhang Hui , Li Rong , Yang Shuxuan , Zhan Liebang , Xiong Ming , Wang Ban , Zhang Juyong
Published: July 2023

The welding and construction processes of H-type thick-plate-bridge steel involve complex multi-pass welding processes, which is difficulty to ensure its welding performance. Accordingly, it is crucial to explore the inherent correlation among the welding processes parameters and welding quality, and applied it into the welding robots, eliminating the instability from manual welding. In order to improve the welding quality, the GMAW (Gas Metal Arc Welding) welding process parameters are simulated using the Q345qD bridge steel flat joint model. Four welds with X-shaped grooves are designed to optimize the parameters of welding current, welding voltage, and welding speed. The optimal welding process parameters are investigated through thermal-elastic-plastic simulation analysis and experimental verification. The results indicate that when the welding current is set to 230A, the welding voltage to 32V, and the welding speed to 0.003m/s, the maximum deformation of the welded plate is 0.52mm, with a maximum welding residual stress of 345MPa. Both the simulation results of multi-pass welding and experimental tests meet the welding requirements, as they show no excessive stress or strain. These parameters can be applied into building large steel frame bridges with welding robots, improving the quality of welded joints.
CS-MRI Reconstruction Using an Improved GAN with Dilated-Residual Networks and Channel Attention Mechanism
Authors: Li Xia , Zhang Hui , Yang Hao , Li Tie-Qiang
Published: July 2023

Compressed Sensing (CS) MRI has shown great potential in enhancing time efficiency. Deep learning techniques, specifically Generative Adversarial Networks (GANs), have emerged as potent tools for speedy CS-MRI reconstruction. Yet, as the complexity of deep learning recon-struction models increases, this can lead to prolonged reconstruction time and challenges in achieving convergence. In this study we present a novel GAN-based model that delivers superior performance without escalating model complexity. Our generator module, built on the U-net architecture, incorporates dilated residual (DR) networks, thus expanding the network's receptive field without increasing parameters or computational load. At every step of the downsampling path, this revamped generator module includes a DR network, with the dilation rates adjusted according to the depth of the network layer. Moreover, we have introduced a channel attention mechanism (CAM) to distinguish between channels and reduce background noise, thereby fo-cusing on key information. This mechanism adeptly combines global maximum and average pooling approaches to refine channel attention. We conducted comprehensive experiments with the designed model using public domain MRI datasets of the human brain. Ablation studies af-firmed the efficacy of the modified modules within the network. Compared to other relevant models, our proposed model exhibits exceptional performance, achieving not only excellent sta-bility but also outperforming other networks in terms of Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index (SSIM). The model presents a promising pathway for enhancing the efficiency and quality of CS-MRI reconstruction.
Interpreting the Response of Forest Stock Volume with Dual Polarization SAR Images in Boreal Coniferous Planted Forest at Non-Growing Season
Authors: Huanna Zheng , Jiangping Long , Zhuo Zang , Hui Lin , Zhaohua Liu , Zhang Tingchen , Yang Peisong
Published: July 2023

Polarimetric Synthetic Aperture Radar (PolSAR) images with dual polarization modes have great potential to map FSV by excellent penetration capabilities and distinct microwave scattering processes. However, the response of these SAR data to FSV is still uncertain at non-growing season. To further interpret the response of forest FSV to these dual-polarization SAR images, three types of dual polarization SAR images (GF-3, Sentinel-1, and ALOS-2) were initially acquired in coniferous planted forest at non-growing season. Then, sensitivity between FSV and all alternative features extracted from each type of SAR images were analyzed to express the difference of bands and polarization modes in deciduous (Larch) and evergreen (Chinese pine) forests. Finally, mapped FSVs using single and combined dual polarization images were derived by optimal feature sets and four machine learning models, respectively. The combined effects were also analyzed to clarify the response of FSV to dual polarization SAR images with bands and polarization modes at non-growing season. The results demonstrated that the difference of backscattering energy from different sensors is significant in Chinese pine forests, and the difference is gradually reduced in Larch forests. it is also implied that polarization mode is more important than penetration capability in mapping forest FSV in deciduous forest at non-growing season. By comparing the accuracy of mapped FSV using single and combined images, combined images have more capability to improve the accuracy and reliability of mapped FSV. Meanwhile, it is also confirmed that compensation effect with bands and polarization modes not only have great potential to delay the saturation phenomenon, but also have capability to reduce errors caused by over-estimation.
Study of Structural Similarities between Tubulin, TMC1, and FtsZ Proteins as They Relate to Mechanosensory Transduction in the Context of the Orch OR Theory of Consciousness
Authors: Ruggiero Marco
Published: July 2023

Recent evidence obtained in murine atrial cardiomyocytes suggests that the behavior of tubulin, a constituent of microtubules, is influenced by audible sounds. In the present study, the sequence and the structure of murine and human tubulins were compared with those of human TMC1 (Transmembrane channel-like protein 1), a sound-sensitive protein that is responsible for forming the pore of mechanosensory transduction channels in the hair cells of the inner ear of vertebrates, and with those of bacterial FtsZ (Filamenting temperature-sensitive mutant Z), a bacterial protein homologous to tubulin. The results show that mouse and human alpha-tubulin are 100% identical, whereas sequence homology of human TMC1 and human tubulin alpha 1A chain is scarce, with only 17.31% identity. A higher degree of similarity was observed in the presence of aromatic amino acids as well as in the propensity to form alpha-helices. Based on these results, it is hypothesized that the response of tubulin to audible sounds is mediated by the external alpha-helices as it occurs in TMC1. The sequence homology of human TMC1 and FtsZ from Lactobacillus johnsonii, is moderate with 23.40% identity, however higher than that between TMC1 and tubulin. The overall presence of aromatic amino acids in FtsZ is scarce, but helix propensity is significant. These results are discussed in the context of Orch OR, a theory that postulates that consciousness emerges from quantum computations occurring in microtubules of neurons via information processing mediated by aromatic amino acids of tubulin.