bluuebunny/crossref_metadata_2025 huggingface dataset:
Traces of Oil in the Architectural Archive: Some Aspects of a Larger Project
Authors:   Texas A&M University, Tripp Andrew
Published: January 2024

This paper revisits the publication of A Bucket of Oil: The Humanistic Approach to Building Design for Energy Conservation,1 produced in 1973-74 by researchers at the multinational architecture firm Caudill Rowlett Scott (CRS).2 The publication was a response to the US experience of the oil embargo, but it was also an index of a transformation in the firm’s research practices—a transition from experimental research in the laboratory to historical research in the archive. While arguing for domestic energy conservation, A Bucket of Oil strategically exercised the agency of the archive to conceal the firm’s rapidly growing commitment to the international oil industry and the oil producing and exporting countries of the Middle East, especially Saudi Arabia and its project for the University of Petroleum and Minerals (UPM). The relationship between archival research practices and fossil fuels, both then and now, raises serious questions about the nature of the architectural archive in the age of anthropogenic climate change.
SISTEM PENGAMBILAN KEPUTUSAN PEMILIHAN VARIETAS TANAMAN TERBAIK UNTUK PERTANIAN LAHAN KERING MENGGUNAKAN METODE PROMETHEE
Authors: Katemba Dewi Fortuna , Lasa Mariano Benediktus , Lalu Max Wiliam Do , Kaesmetan Yampi R.
Published: January 2024

Dari Penelitian "Sistem Pengambilan Keputusan Pemilihan Varietas Tanaman Terbaik untuk Pertanian Lahan Kering Menggunakan Metode PROMETHEE" memiliki tujuan untuk mengembangkan sebuah sistem yang dapat membantu dalam pengambilan keputusan dalam memilih varietas tanaman terbaik untuk pertanian di lahan kering. Sistem ini menggunakan metode PROMETHEE sebagai alat bantu untuk menganalisis dan membandingkan berbagai kriteria yang relevan dalam pemilihan varietas tanaman. Metode yang kami gunakan adalah metode PROMETHEE digunakan sebagai alat atau pendekatan untuk melakukan pengambilan keputusan dalam memilih varietas tanaman terbaik untuk pertanian di lahan kering. Hasil penelitian ini memiliki kemampuan untuk menambah alternatif, memilih tipe preferensi dan mengolah data sehingga didapat hasil akhir berupa rangking alternatif komoditi Tanaman yang disarankan untuk ditanam pada suatu lahan kering.
First Report of Phenotype Prevalence of Five Major Rh Blood Group Antigens in the Blood Donor Population of Peshawar, Pakistan
Authors: Noore Saba  , Usman Waheed  , Saeed Muhammad , Tariq Hayat Khan  , Akhlaaq Wazeer  , Ahmed Saeed
Published: January 2024

Objective: The current study investigated the prevalence of five major Rh blood group antigens in the Peshawar region of Khyber Pakhtunkhwa province, Pakistan.

Methodology: This was a cross-sectional study, conducted at the Peshawar Regional Blood Centre from February to April 2023. A total of 13,148 blood donor samples were analyzed for Rh D, C, c, E, and e antigens using monoclonal reagents. The frequencies were calculated by direct counting on a spreadsheet programme and the Statistical Package for Social Sciences (SPSS for Windows version 25.0. Armonk, NY, USA) was used to conduct a meta-analysis for comparison of results with national and international studies.

Results: The findings of the current study revealed that 92.17% of donors were RhD positive. The e antigen showed the highest frequency of 98.31%, followed by D antigen and the C antigen (92.17% and 78.37%, respectively). Comparative analyses with earlier Pakistani studies and international data indicated significant variations in antigen frequencies, potentially attributed to the diverse ethnic population and geography of the region.

Conclusion: The findings emphasize the importance of local antigen frequency data for efficient blood transfusion strategies, especially for thalassaemia patients requiring frequent transfusions.

Key words: Rhesus, Blood Group, Phenotype
Fabrication of oscillating metal probe for dynamic scanning microwave microscopy
Authors: Wang Caihui , Wen Huan Fei , Xue Yifan , Pei Tao , Wei Guoliang , Li Zhonghao , Guo Hao , Tang Jun , Liu Jun
Published: January 2024

A microwave probe plays a critical role in near-field imaging, and there is a continuous effort to develop them through straightforward methods. This study designed and fabricated an oscillating metal probe and used it for scanning microwave imaging of micro-nano structures. The surface smoothness of the cantilever is approximately 19.3 nm after polishing with diamond abrasive paper, and the tip radius is less than 20 nm using electrochemical etching. The impact of metal electrode materials on microwave signals was assessed in the frequency range of 1–20 GHz. The microwave imaging capability of the devised probe was explored through the imaging of a micro-nano structure. The spatial resolution of microwave imaging reached 0.5 μm over a scanning area of 50 μm × 50 μm. This study has far-reaching significance for developing higher-performance microwave probes and advancing scanning microwave microscopy.
Implementasi manajemen keuangan inklusif bank wakaf mikro dalam mencapai sustainable development goals (SDGs)
Authors: Ririn Tri Puspita Ningrum  , Faridatul Fitriyah
Published: January 2024

Abstrak : Hadirnya Bank Wakaf Mikro (BWM) sebagai lembaga keuangan inklusif betujuan untuk menyediakan akses permodalan tanpa bunga, tanpa agunan, imbal hasil rendah, dengan konsep tanggung renteng dan memberikan pendampingan bagi UMK. Lembaga ini mewadahi para pelaku UMK yang mengalami kesulitan mendapatkan aksebilitas pembiayaan pada lembaga keuangan formal (tidak bankable) seperi bank syariah. BWM sejatinya merupakan salah satu upaya Pemerintah untuk mendorong program pembangunan berkelanjutan atau biasa dikenal dengan Sustainable Development Goals (SDGs) yang ditargetkan akan terealisasikan pada tahun 2030. Di wilayah Kediri hanya terdapat dua BWM dengan latar belakang dan kondisi yang berbeda, yaitu BWM Berkah Rizqi Lirboyo Dan BWM Amanah Makmur Sejahtera. Sangat penting mengkomparasikan keduanya sebagai upaya memberikan infomasi tentang pencapaian keuangan inklusif dan tujuan SDGs di lingkup BWM khususnya di Kediri. Penelitian ini termasuk dalam kategori penelitian kualitatif deskritif. Dengan menggunakan teknik penganmbilan data berupa wawancara, observasi dan dokumentasi, penelitian ini bertujuan menjawab rumusan masalah yaitu: bagaimana implementasi manjemen keuangan insklusif dan capaian Sustaianable Development Goals (SDGs) pada BWM Berkah Rizqi Lirboyo dan BWM Amanah Makmur Sejahtera. Adapun temuan penelitian ini adalah pertama, implementasi manajemen keuangan insklusif kedua BWM ini memiliki kesamaan dalam hal strategi penggunaan (usage) dan dampak kesejaheteraan kepada nasabah, namun memiliki perbedaan terutama dalam strategi implementasi ketersediaan akses (acces) dan kualitas (quality). Kedua, Capaian Sustaianable Development Goals (SDGs) pada kedua BWM ini masih concern pada pilar pertama SDGs yaitu pilar pembangunan sosial yang memuat 5 upaya yaitu: menghilangkan kemiskinan,  mengindari kelaparan, mewujudkan kehidupan yang sehat dan sejahtera, mendapatkan pendidikan berkualitas, serta menjujung persamaan dan kesetaraan gender.

Kata Kunci: Keuangan Inklusif, SDGs, BWM Berkah Rizqi Lirboyo, BWM Amanah Makmur Sejahtera
Penerapan Problem Based Learning (PBL) Untuk Meningkatkan Keterampilan Berpikir Kritis Peserta Didik SD
Authors: Rukmi Dian Aprelia , Zulfiati Heri Maria
Published: January 2024

Permasalahan dalam penelitian ini berlatar belakang rendahnya keterampilan berpikir kritis peserta didik dalam pembelajaran. Tujuan penelitian untuk meningkatkan keterampilan berpikir kritis peserta didik dengan menggunakan model pembelajaran Problem Based Learning (PBL). Materi yang digunakan pada penelitian ini adalah ekosistem. Penelitian Tindakan kelas ini dilaksanakan sesuai dengan model Kemmis dan Mc. Taggart. Proses penelitian dilaksanakan dalam dua siklus, siklus pertama ada dua kali pembelajaran dan siklus kedua ada satu kali pembelajaran. Tahapan pelaksanaan setiap siklus melalui perencanaan, pelaksanaan, pengamatan, dan refleksi. Pengumpulan data dilakukan dengan observasi, wawancara, dan tes. Analisis data dilakukan secara deskriptif kuantitatif. Objek penelitian adalah peserta didik kelas V SD Negeri Kiyaran 2 Cangkringan tahun Pelajaran 2022/2023. Hasil penelitian menunjukkan bahwa kemampuan berpikir kritis peserta didik mengalami peningkatan dari setiap pelaksanaan siklusnya. Nilai rata-rata kemampuan berpikir kritis peserta didik pada pra siklus adalah 65,71. Pada siklus I meningkat menjadi 74,29 dan pada siklus II juga mengalami peningkatan menjadi 87,14. Selain berpengaruh pada kemampuan berpikir peserta didik, penerapan PBL juga berpengaruh terhadap hasil belajar peserta didik. Pada pra siklus nilai rata-rata hasil belajar peserta didik adalah 65,43. Pada siklus I dengan rata-rata 77,57 dan siklus II mengalami peningkatan menjadi 85,71. Berdasarkan data tersebut dapat disimpulkan bahwa penerapan PBL antara pra siklus, siklus I, dan siklus II mengalami peningkatan terhadap kemampuan berpikir serta hasil belajar peserta didik.
Dampak Sosial Proses Pembelajaran Daring Pasca Pandemi Covid-19 di MTS Miftahul Ulum Kawal
Authors: Aqmal Romi , Komarudin Yahya , Kamaruzaman
Published: January 2024

Dampak sosial dari sistem pembelajaran daring pasca pandemi covid-19 merupakan pengaruh atau akibat dari gejala sosial yang terjadi pada sistem pembelajaran sehingga mengakibatkan perubahan yang bersifat positif atau negatif terhadap lingkungan sosial dan keadaan sosial sekolah tersebut. Maka untuk mendalami telaah pada  penelitian ini digunakan metode diskriptif kualitatif. Tujuannya adalah untuk menganalisis dampak sosial dari pembelajaran daring pasca Pandemi Covid-19 di MTs Miftahul Ulum Kawal sebagai tempat lokasi penelitian. Teknik sampling yang digunakan adalah dengan purposive sampling yaitu berjumlah 3 (tiga) orang sampel diantaranya Kepala Sekolah, Guru Kelas dan Siswa Kelas VIII A, Instrument dalam penelitian adalah melalui lembar observasi, wawancara, dan dokumentasi. Analisis data dengan model Miles dan Huberman yaitu melalui reduksi data, penyajian data dan penarikan kesimpulan. Hasil analisis menggambarkan bahwa dampak dari proses pembelajaran secara daring pasca pandemi menunjukkan nilai yang lebih baik, namun perlu adanya strategi dan inovasi. Seperti dalam penerapan media pembelajaran dengan media serbaneka dan media visual. Sedangkan untuk sistem dan metode pembelajaran ada kelebihan dan kekurangannya masing-masing yang perlu menjadi pertimbangan dan perbaikan, Serta hasil pembelajaran secata teori dan praktik menunjukan kearah yang positif.
A Case Report on Gastroparesis Secondary to a Posterior Fossa Tumor.
Authors: Singhal Esha , Omer Linah , Mattamal Raphael
Published: January 2024

Introduction. Gastroparesis is an uncommon condition with scarce available literature. The presented child had a three-month history of persistent unexplained vomiting and inability to maintain adequate nutrition with severe gastroparesis on gastric emptying study. He was refractory to medical and surgical management. 

Case Report. A 20-month-old male was brought into the ED and diagnosed with gastroenteritis. Abdominal X-ray was normal, and the vomiting persisted despite antiemetic (ondansetron) administration. He was started on bethanechol for gastroparesis, which was changed to intravenous metoclopramide as he did not tolerate the oral route. His presentation further progressed with intracranial hypertension, hydrocephalus, seizure, and acute respiratory failure necessitating intubation. He was subsequently diagnosed with an atypical teratoid rhabdoid tumor of the cerebellum, for which pediatric neurosurgery performed surgical resection.

Discussion. The patient was initially diagnosed with post-viral gastroparesis; however, he had shown poor response to medical and surgical therapy and later presented with developmental regression and signs of increased intracranial pressure leading to the diagnosis. In this case, we speculate that the development of gut dysmotility results from disruption of the dorsal motor nucleus of the vagus and autonomic nuclei in the brain stem, which may also have been the reason for medication resistance. 

Conclusion. Pediatric gastroparesis is largely diagnosed as idiopathic; however, clinicians should be vigilant to look for secondary causes, especially in treatment-resistant cases.
Responsabilità sociale d'impresa 2.0 e sostenibilità digitale
Authors: Lazzeroni Lara
Published: January 2024

The Labour Lawyer is asked, more and more often, to become conversant with the transformations taking place in society and with the impact on work of European regulatory proposals concerning due diligence, artificial intelligence and environmental protection. The growing dematerialization of enterprises and work is bound to increase the distortions and pitfalls of globalization, making it more difficult to identify both the techniques for managing new challenges and the systemic impact of digital transformation but also, with them, the risks of Algorethics at work. The survey thus leads us to reflect on criteria and parameters of environmental and, above all, digital sustainability in working contexts and, consequently, to reflect on the contours and characteristics of a new culture, but also of a new practice, of Corporate social responsibility throughout the digital transformation process.
Climate Cha(lle)nges in global wine production and trade patterns
Authors: Lamonaca Emilia , Seccia Antonio , Santeramo Fabio Gaetano
Published: January 2024

The global wine trade is interested by significant changes since a few decades, due to new productive scenarios induced by climate change and to (rapidly) evolving trade and policy regimes. We investigate how these changes are altering trade dynamics. Following a gravity-type approach, we find that higher temperatures are beneficial for the terms of trade, and are boosting trade values. As for policy interventions, the impact of technical measures on trade values is heterogeneous across objectives: While technical measures tend to friction trade, the environment-related policies show pro-trade effects.
Case Report on Sick Sinus Syndrome
Authors: S Parveen , B Padmavathi , B Lavanya
Published: January 2024

Abstract: Sick sinus syndrome (SSS) a cardiac conduction disorder characterized by the symptomatic dysfunction of sinoatrial node. The sinus node is normal pacemaker of the heart and is responsible for the regular, rhythmic, heartbeat. Sick sinus syndrome affects about 3 out of every 10000 persons, and becomes more common with advancing age. The symptoms of the sick sinus syndrome include palpitations, fainting or dizziness, fatigue, weakness, confusion, chest pain, and disturbed sleep. Women and men are affected equally. As the age increases the number of pacemaker cells in the sinus node decreases and the normal wear and tear on the sinus node and the conduction system may result in SSS. The diagnosis is done by ECG, Holter monitor. In ECG SSS usually manifests as sinus bradycardia, sinus arrest, or sinoatrial block, and sometimes accompanied by supraventricular tachy arrthymias. The treatments of SSS include implantation of artificial pacemaker.
Peran pelatihan dan efikasi diri terhadap minat berwirausaha dalam upaya peningkatan produktivitas kelompok tani di desa Putat Nutug Ciseeng, Bogor
Authors: Noor Laili Savitri , Badriah Badriah , Hendratni Tyahya Whisnu
Published: January 2024

This study aims to determine the effect of training and self-efficacy on interest in entrepreneurship to increase the productivity of farmer groups in Putat Nutug Village, Ciseeng, Bogor Regency. The population in this study were members of a farmer group of 150 people. Determination of the number of samples using the Slovin formula totaling 60 respondents, with a sampling technique using purposive sampling. The data analysis technique used structural equation modeling Partial Least Square (SEM-PLS). The results showed no direct effect of training on business interest and no direct influence of business interest on productivity. Training has a direct effect on productivity, self-efficacy on business interest, and self-efficacy on productivity. There is no effect of training on productivity through interest in entrepreneurship, and there is no effect of self-efficacy on productivity through interest in entrepreneurship.
Pengaruh kualitas produk, harga dan promosi terhadap keputusan pembelian shampo Pantene
Authors: Wulandari Della Umi , Sukaris Sukaris
Published: January 2024

The impact of three primary factors—product quality, price, and promotion—on consumers' decisions to buy Pantene shampoo is the major emphasis of this study topic. Data indicates a fall in the top brand ranking of shampoo brands in recent years, despite Pantene's ability to hold onto its market share. This drop is indicative of the highly competitive nature of the shampoo industry. The purpose of this study is to ascertain how much customer purchase decisions are influenced by Pantene product quality, price, and promotions. It also aims to offer more insight into consumer preferences for shampoo selection and adapt to changes in an increasingly sophisticated market. Using an Accidental Non Probability Sampling approach, 110 Muhammadiyah Gresik students who had bought Pantene shampoo products made up the research sample. This study used multiple linear regression analysis as its analytical method. The study's findings indicate that consumer decisions are significantly influenced by the Pantene shampoo products' price, quality, and marketing.
Halal product awareness and trust from students perspectives: The role of gender
Authors: Shafariah Hanuna , Gofur Abdul
Published: January 2024

This research aims to investigate the impact of awareness of halal products on consumer trust levels by considering the moderating role of gender. The research method involves regression analysis to evaluate the relationship between these variables. The research sample consisted of 126 respondents randomly selected from the consumer population. The main findings show that awareness of halal products positively and significantly impacts consumer confidence levels. The regression results confirm that the higher the consumer's awareness of the halal product, the higher the consumer's trust in the product. Moderation analysis confirms that female consumers strengthen the positive relationship between awareness of halal products and consumer trust, compared to male consumers.
Pengaruh Total Quality Management Terhadap Customer Satisfaction dan Customer Loyalty di Klinik X
Authors: Aprilyanti Monika , Pattyranie Pauline H.
Published: January 2024

Pelayanan adalah prioritas utama yang harus diwujudkan dalam suatu perusahan. Seiring dengan perkembangan dan pertumbuhan tersebut, fasilitas kesehatan di Indonesia mengalami pertumbuhan baik untuk fasilitas pemerintah maupun swasta. Penelitian ini bertujuan untuk meneliti pengaruh Total Quality Management terhadap kepuasan pelanggan dan loyalitas pelanggan di Klinik X (KLINIK X). Penelitian adalah kumpulan dari proses untuk mencari solusi dalam menyelesaikan masalah setelah dilakukannya analisis lengkap dan studi yang dilakukan pada situasi tertentu. Berdasarkan hasil analisis IPMA pada penelitian, masih banyak ditemukan indikator yang perlu dilakukan pengembangan, dikarenakan performa yang rendah namun kepentingan tinggi, meliputi: Kecepatan dan kemudahan pendaftaran, Saya diinformasikan kapan layanan akan dilakukan oleh petugas, Petugas tersedia ketika dibutuhkan, Jarak antara waktu Pendaftaran dengan layanan pemeriksaan tidak lama, Pelayanan diberikan tepat waktu, Layanan tersedia dalam jam operasional yang cukup, Petugas sopan dan ramah, Petugas menanggapi keluhan dan pengaduan dengan baik, Petugas memahami kebutuhan spesifik Anda dan Petugas memiliki pengetahuan luas saat menjawab pertanyaan. Kesimpulan yang bisa diambil dari penelitian ini adalah Kualitas Proses dan Kualitas Lingkungan secara signifikan mempunyai pengaruh positif pada Kepuasan Pasien (Customer Satisfaction). Selain itu, Kepuasan Pasien secara signifikan mempunyai pengaruh positif pada Loyalitas Pasien (Customer Loyalty).
Between Knowing and Acting: Peran Literasi Kesehatan Mental dan Pencarian Bantuan terhadap Self-Harm pada Mahasiswa
Authors: Fitriana Qurrota A'yuni Fitriana
Published: January 2024

Self-harm is a serious mental health issue among university students. Understanding the factors that contribute to this behavior needs to be a focus for a number of parties. This study aimed to identify the role of mental health literacy and help-seeking as factors influencing self-harm behaviour among university students. Data were collected through online psychological scales from a sample of 323 university students. Data analysis used multiple linear regression tests to test the research hypotheses. The findings revealed that self-harm behavior was not significantly influenced by mental health literacy (Sig 0.218 > 0.05, t-count 1.234). Help-seeking, on the other hand, was found to significantly influence self-harm behavior (Sig 0.000 0.05, t-count -3.916). R-square's coefficient of determination was 0.046, indicating that mental health literacy and help-seeking together explained 4.6% of the variability in self-harm behaviour. Further research into preventing and treating self-harm is advised, along with a greater emphasis on the value of appropriate and efficient help-seeking among university students.
Do Diabetes à Doença Renal: Uma Revisão Sistemática dos Benefícios Nefroprotetores dos Inibidores de SGLT2
Authors: Vasconcelos José Lucas Moura , Silva Bruna de Aquino Morais da , Azevedo Leonardo Dias , Mota Ester Guedes , Veloso Gricelio Cordeiro , Costa Jeniffer de Souza , Rodrigues Joanna Lara Castelo , Wanderley Lilla Carvalho , Lima Marcos Vinicius Costa , Silva Paulo Emanuel Bezerra dos Santos , Sousa Renan Marques Dias de , Oliveira Roberta Helena Marques de , Filho Sóstenes Fernandes Silveira , Melo Vanessa Avelar Alcântara , Borges Willian Borbi , Meireles Willy de Andrade
Published: January 2024

Esta revisão sistemática aborda o papel nefroprotetor dos inibidores do cotransportador de sódio-glicose tipo 2 (SGLT2) em pacientes com diabetes. A análise compreensiva de estudos clínicos e diretrizes atuais destaca não apenas a eficácia desses agentes no controle glicêmico, mas também seus efeitos diretos na prevenção da progressão da doença renal crônica (DRC). Os inibidores de SGLT2 demonstraram consistentemente redução significativa da proteinúria, efeitos hemodinâmicos benéficos, e uma associação clara com a redução do risco cardiovascular. As diretrizes da KDIGO reconhecem o papel integral desses medicamentos na gestão da nefropatia diabética. Esses achados sugerem que os inibidores de SGLT2 representam uma abordagem terapêutica promissora para pacientes com diabetes e risco de complicações renais.
REFLEXÕES SOBRE OS DESAFIOS EPISTEMOLÓGICOS PARA PROMOÇÃO DE SAÚDE NO CONTEXTO AFROBRASILEIRO: UMA REVISÃO DE LITERATURA
Authors: Silva Wendel Johnson da , Camila Eduarda Barbosa Gomes  , Santos Paula Roberta Matos Quirino dos , Lima Ariadne Bonfim Soares , Souza Júlia Silva , Ferreira Valdomiro Junio Soares , Correia Eriselma Alves , Morais Jusdewbe Tatiane de Souza , Zanoni Rodrigo Daniel
Published: January 2024

O presente artigo pretende analisar as características relacionadas ao culto da figura de Exu, personagem próprio da cultura africana, mas que tem sido relevante há muito tempo no quadro religioso das terras brasileiras. Nesse sentido, busca-se por meio de uma revisão de escopo traçar os dados fornecidos pela literatura relativa ao objeto escolhido de modo que se possa compreender os conceitos de "bem", "mal", "Diabo", entre outros, que vêm sendo atribuídos ao personagem dos cultos nos textos dos autores umbandistas nos séculos XX e XXI, os quais  procuram traçar uma linha de padrão para Exu e seu culto. Partindo do exposto, analisou-se as obras dos principais autores que influenciaram o conceito na literatura e, posteriormente, à prática, além de contrastar com as análises subsequentes de pesquisadores quanto ao tema.
Formation of multi-component coatings of specified composition and required thickness by magnetron sputtering
Authors: Grigoriev S.N. , Metel A.S. , Volosova M.A. , Sukhova N.A. , Shekhtman S.R.
Published: January 2024

The paper considers the possibility of obtaining multicomponent coatings of a given composition and required thickness by magnetron sputtering on the basis of controlling the stoichiometry of the target cathode used. A toolkit for preliminary estimation of thickness and stoichiometry of multicomponent coatings synthesized by magnetron sputtering taking into account condensation rate and concentration of components of the sputtered multicomponent cathode-target is proposed. A series of experiments on the formation of coatings based on titanium TiAlSiN and TiAlMoN by magnetron sputtering on the NNV 6.6-I1 unit using multicomponent cathodes obtained by spark plasma sintering was carried out, the results of which showed the coincidence of calculated and experimental values of the percentage content of elements and thickness of multicomponent coatings by more than 80 %.
Overview of technical solutions for improving of magnetron sputtering devices
Authors: Medvedev K.S. , Mednikov A.F. , Tkhabisimov A.B.
Published: January 2024

The paper provides a brief overview of technical solutions that allow expanding the capabilities of magnetron sputtering systems using different options for organizing an external source of charges. Among them, the following are considered in detail: electron emission in the magnetron discharge track; argon ionization in the space above the target; argon ionization in the vacuum chamber volume; the use of an uncooled "hot" target; bombardment of the target surface with a beam of argon ions. Among the solutions considered, a combination of a magnetron with an ion source or an incandescent cathode is noted, which in principle can provide equal-dimensional reactive sputtering on "long" (more than 1 m) magnetrons and flexible control of the properties of coatings intended for dimensional elements of equipment of the fuel and energy and oil and gas complexes, as well as solutions based on spraying a "hot" target, which can find industrial application for the formation of thermal barrier coatings on the blades of modern power gas turbines and aviation gas turbine engines.
СИСТЕМЫ НЕЛИНЕЙНЫХ ИНТЕГРАЛЬНЫХ УРАВНЕНИЙ С ОБОБЩЕННЫМИ ЯДРАМИ ТИПА ПОТЕНЦИАЛА
Authors: АСХАБОВ С.Н. , БЕТИЛГИРИЕВ М.А.
Published: January 2024

В весовых пространствах Лебега изучаются системы нелинейных уравнений с обобщенными операторами типа потенциала. Без ограничения малости на параметры получены теоремы существования и единственности.
ROLE OF THE TOURISM SECTOR IN CARVING OUT A BETTER INDIA
Authors: Dr. K. I. Sivaprasad
Published: January 2024

By 2047, India will complete 100 years after its independence. By then, the people of India unitedly dream that India will become a developed country by all means. International rating agencies predicted that India will become the third biggest economy (GDP-wise) in the world by 2030. Although growth has slowed down due to COVID-19, data shows that most sectors are currently in revival and on a booming path. Tourism is one of the vital sectors that significantly contribute to the growth of India by providing jobs and revenue including accumulation of foreign exchange money. Kerala, popularly known as Gods own country, a southern state, with heavy potential in tourism, has a huge role to play in making the dream that India as a Viswa guru, a reality. This study aims to explore the current and future potential of the tourism sector in India and Kerala and to what extent it is capable of propelling the dreams of India to become a nation with an 8.5 trillion Dollar GDP by 2030. It is found that if we can timely resolve all the drawbacks with proper planning and execution, the Tourism sector in India can achieve its goal before the targeted time, which will help the dream of crores of poor and oppressed people to come true, that India will become a developed nation. It is suggested that intense research and development work and the adoption of the best possible technology along with the right marketing campaign help us to accelerate the pace of development and accomplish the target within the minimum possible time.
KEYWORDS: Vision 2047, role of Indian Tourism, Kerala Tourism, Developed nation, Growth.
CHANGES IN THE ULTRASTRUCTURAL ELEMENTS OF PERIODONTAL NEUROTROPHY UNDER CONDITIONS OF ACUTE SIMPLE COAGULATION DYSTROPHY IN THE EXPERIMENT
Authors: Hrynovets Volodymyr , Ripetska Olha , Hrynovets Ihor , Potapchuk Anatoliy , Almashi Vasyl , Hegedűs Csaba , Melnyk Yuriy
Published: January 2024

Aim: To determine the role of damage to the ultrastructural elements of the periodontal nervous system in the pathogenesis of dystrophic periodontal disease.
Materials and Methods: The basis of the experimental part of the study was the preparation of ultrathin sections from blocks of gum tissue of white rats, which were prepared using the UMTP-3M device. The study and analysis of biopsy samples was carried out with the help of an electron microscope UEMV-100K.
Results: With the help of transmission electron microscopy, it was found that from the first minutes after the injection of hemolysate of isogenic erythrocytes into the rats, aggregates of erythrocytes, clumps of blood plasma, clusters of fibrin monomer masses, bundles of fibrin fibers, platelet and homogeneous were present in the connective tissue of the gums, and in particular in the lumens of hemocapillaries microthrombi, which confirms damage to the ultrastructures of the periodontium, which lead to the development of a pathological process, which is described when simple coagulation dystrophy is reproduced.
Conclusions: Coagulative damage to the ultrastructural elements of the periodontal nervous system is one of the important factors in the pathogenesis of dystrophic periodontal damage. Under these conditions, trophic disturbances occur, similar to those that occur when the integrity of the nerve is disturbed – neurotrophic mechanism of dystrophy.
THE IMPACT OF THE INTRODUCTION OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES ON THE CURRENT HUMAN RIGHTS AND FREEDOMS CONCEPT
Authors: Pashkov Vitalii M. , Harkusha Andrii O. , Soloviov Oleksii S.
Published: January 2024

Artificial Intelligence (AI) has undeniably transformed the landscape of healthcare, offering unparalleled potential to enhance patient care, streamline diagnostics, and improve overall healthcare outcomes. As AI continues to make its way into the medical field, it has raised crucial questions about regulation, ethics, and patient safety and that is guiding us to the core question – how that will impact current human rights and freedoms concept, and is this concept ready for such an impact? The aim of the research is to identify and evaluate the potential impact of AI introduction in healthcare on modern human rights and freedoms concept, and on the basis of discovered complexities to propose ways to eliminate them. This study was conducted during June-October of 2023. Through a broad literature review, analysis of international and state regulation acts, scientific researches and opinions of progressive-minded people in this sphere this paper provide a guide to understanding the impact of AI introduction in healthcare on current human rights and freedoms concept. It is based on dialectical, comparative, analytic, synthetic and comprehensive methods.
MANAGEMENT MODELS AND METHODS OF CURRENT ASSETS IN TRADING COMPANY
Authors:   Financial University under the Government of the Russian Federation, Moscow, Russia, Mishchenko Alexandr V. , Apal'kova Tamara G. ,   MIREA – Russian Technological University, Moscow, Russia, Kosorukov Oleg ,   Lomonosov Moscow State University, the Russian Presidential Academy of National Economy and Public Administration (The Presidential Academy), Moscow, Russia, Moscow, Russia, Sviridova Olga ,   Financial University under the Government of the Russian Federation, Plekhanov Russian University of Economics, Moscow, Russia
Published: January 2024

Currently, quantitative data analysis methods and the latest computer technologies can significantly improve the efficiency of logistics and supply chain management. The purpose of the study is to develop economic and mathematical models of the company’s activities to study the options for using all types of company assets, including financial ones. Methods of mathematical modeling and operations research are used. The article examines the working capital management models of a trading company, in which there is no uncertainty about the initial values, but there is an uncertainty about the parameters of the problem. The optimal solution can be obtained using the described method. The paper presents a methodology for analyzing the stability of the optimal solution, as well as an approach to assessing the risk of bulk purchases. The authors consider the developed software as a tool for finding the optimal portfolio for wholesale purchases. The algorithm used by the software tool is based on the branch and bound method.
A LONG-TERM FORECASTING TECHNIQUE BASED ON A MULTI-TREND FORECAST
Authors:   Candidate of Economic Sciences, Associate Professor, Belgorod State National Research University (NRU ", Ivanyuk Vera A. ,   BelSU",   ), Belgorod, Russia
Published: January 2024

The article proposes an innovative approach to longterm forecasting based on a multitrend forecast. The approach is based on the decomposition of a time series into separate components – trends, which allows the model to take into account such important components of dynamics as the general upward/downward trend (logarithmic or linear trend), cyclicity (sinusoidal trend). The initial data for the analysis is a time series, for example, the prices of the company's shares. Before applying the developed forecast model, the data is preanalyzed in order to identify the stationary sites. Further, the trend components are consistently highlighted. First, the parameters of the logarithmic function are selected. Then the found dependence is subtracted from the series and a similar procedure is applied to the residuals to determine the coefficients of the linear trend. After that, sinusoidal trends of various periods describing cyclic fluctuations are sequentially subtracted from the series. The stopping criterion is the achievement of a white noise state time series when there are no trends in the series anymore. Then all the resulting component trends are summarized to build a final forecast for the future period. The algorithm described above was implemented in the MS Excel spreadsheet environment.
CONSTRUCTION OF REGRESSION MODELS FOR THE RATES OF INDICATIVE PRICES AND THE VALUE OF EXPORT DUTIES ON CEREALS
Authors:   Candidate of Economic Sciences, Associate Professor of the Department of Mathematical Methods in Economics, Plekhanov Russian University of Economics, Moscow, Russia, Zakrevskaya Ekaterina A. , Sviridova Olga A. ,   Candidate of Economic Sciences, Associate Professor of the Department of Mathematical Methods in Economics, Plekhanov Russian University of Economics; Associate Professor of the Department of Data Analysis and Machine Learning, Financial University under the Government of the Russian Federation, Moscow, Russia, Domolyutchenkova Varvara M. ,   Postgraduate Student of the Department of Mathematical Methods in Economics, Plekhanov Russian University of Economics, Moscow, Russia
Published: January 2024

The article is devoted to the problem of modeling and forecasting the value of export duties on grain crops. The influence of factors on the indicative prices of grain crops, and, consequently, on the value of export duties on wheat, corn and barley, is considered. Correlation dependencies were identified using Python. Regression models for indicative prices for three crops are constructed.
ANALYSIS AND OPTIMIZATION OF INFORMATION SYSTEMS USING PROBABILISTIC METHODS
Authors:   PhD of Economics, Associate Professor, Associate Professor of the Department of ", Zvyagin Leonid S. ,   System Analysis in Economics",   of the Faculty of Information Technology and Big Data Analysis, Financial University under the Government of the Russian Federation, Moscow, Russia
Published: January 2024

Probabilistic methods are one of the key tools for analyzing and optimizing the work of information systems in the modern world. They allow you to analyze and select optimal solutions for processing control algorithms and ensure an acceptable level of reliability of the system. When using probabilistic methods, it is important to take into account the influence of various factors on the results of the system. To do this, it is necessary to conduct a comprehensive analysis, which includes an assessment of the probability of malfunctions, an analysis of the consequences of these malfunctions, as well as an assessment of the probability of restoring the system after a malfunction. Comparison and selection of optimal solutions are also important steps when using probabilistic methods, this makes it possible to analyze various variants of control algorithms and choose the one that will provide the best results at the lowest cost.
MODELING AS A TAX FORECASTING TOOL
Authors:   Candidate of Economic Sciences, Associate Professor, Associate Professor of the Department of Finance, Accounting and Taxation, Faculty of Economics and Management, K.L. Khetagurov North Ossetian State University, Vladikavkaz, Russia, Aguzarova Fatima S. , Tsirikhova Agunda R. ,   Student of the Faculty of Economics and Management, K.L. Khetagurov North Ossetian State University, Vladikavkaz, Russia
Published: January 2024

The scientific article examines the basics of modeling as a tool for tax forecasting. The authors provide definitions of the concepts of "tax planning" and "tax forecasting", proving that these are not identical terms. The characteristic of the levels of tax forecasting (macro and micro levels) is given. The researchers confirm that tax forecasting at each level is carried out by modeling various methods, the main of which are the method of expert assessments, simulation modeling, correlation and regression method, etc. The stages of the modeling process in taxation are considered. It is noted that modeling is an essential tool for tax forecasting and serves as the basis for forecasting the socioeconomic development of the state.
METHODOLOGY FOR DEVELOPING THE CONCEPT OF AN INVESTMENT PORTFOLIO BASED ON A SYSTEM ANALYSIS
Authors:   Candidate of Economic Sciences, Associate Professor, Belgorod State National Research University (NRU ", Ivanyuk Vera A. ,   BelSU",   ), Belgorod, Russia
Published: January 2024

This article proposes a new approach to the development of the concept of investment portfolio formation, based on the systematic deduction of the hierarchy of factors and the combination of evaluation, forecasting, and optimization mechanisms. This approach makes it possible to increase the efficiency of the portfolio by reducing periods of suboptimal conditions and quickly adapting to changes in investment conditions. The paper describes in detail the methodology for identifying significant factors, formalizing goals and strategies, and developing a mathematical model to determine the optimal composition of an investment portfolio. The proposed approach can find wide practical application in the tasks of strategic investment. Effective management of an investment portfolio in conditions of high uncertainty and volatility of financial markets is a very urgent task. Strategies for forming an optimal asset portfolio are largely based on mathematical modeling, which allows taking into account many risk and profitability factors. The proposed methodology is based on the systematization of factors affecting the market situation and the state of the investment portfolio. By consistent deduction, the "market – portfolio" subsystem is identified and analyzed, within which the key factors of direct and reverse influence are identified from the standpoint of their objectivity, predictability and manageability. Based on the obtained hierarchy of factors, priority goals for the optimal portfolio model are formulated: maximizing adaptability and period of effectiveness at an acceptable level of risks. Further, the paper presents the formalization of these goals and the justification of a conceptual model that combines evaluative, predictive, investment and optimization components. The developed approach can serve as a theoretical basis for creating effective mathematical models for managing strategic investment portfolios, taking into account a wide range of external factors and internal goals of the investor.
SELECTING AN ARTIFICIAL NEURAL NETWORK ARCHITECTURE FOR ASSESSING THE STATE OF A GENETIC ALGORITHM POPULATION IN THE PROBLEM OF STRUCTURAL-PARAMETRIC SYNTHESIS OF SIMULATION MODELS OF BUSINESS PROCESSES
Authors:   Candidate of Technical Sciences, Associate Professor of the Department of Data Analysis and Machine Learning, Financial University under the Government of the Russian Federation, Moscow, Russia, Andriyanov Nikita A. , Petrosov David A. ,   Candidate of Technical Sciences, Associate Professor, Associate Professor of the Department of Data Analysis and Machine Learning, Financial University under the Government of the Russian Federation, Moscow, Russia, Polyakov Andrey V. ,   Graduate Student of the Department of Data Analysis and Machine Learning, Federal State Budgetary Educational Institution of Higher Education Financial University under the Government of the Russian Federation, Moscow, Russia
Published: January 2024

This article proposes a study aimed at determining the architecture of artificial neural networks to solve the problem of determining the population state of a genetic algorithm adapted to solve the problem of structuralparametric synthesis of simulation models of business processes. As the initial data for training the artificial neural network, we used the results of computational experiments obtained when operating a genetic algorithm model based on mathematical nested Petri nets, which solves the problem of synthesizing business process models (Petri net models) based on a given behavior. As examples of artificial neural network architectures for managing the process of finding solutions based on an evolutionary procedure, the following are considered: fully connected artificial neural network (FCNN), simple recurrent artificial neural network (Simple RNN), long shortterm memory recurrent network (LSTN), closed recurrent recurrent network block (GRU) and bidirectional LSTM (Bidirectional LSTM). The deep learning algorithms used were: Support Vector Classifier, Decision Tree Classifier and Random Forest Classifier. The article discusses the presented architectures of artificial neural networks and various training methods. Based on the computational experiments carried out and the analysis of the results obtained, conclusions were drawn about the feasibility of using artificial neural networks with RNN architecture to solve the problem of recognizing the state of the population and controlling the process of synthesis of solutions.
DEVELOPMENT OF A METHODOLOGY FOR MAKING DECISIONS FOR AN ORGANIZATION WHEN PLANNING WORK ON REPAIRING FIELD PIPELINES
Authors:   Candidate of Technical Sciences, Associate Professor, Financial University under the Government of the Russian Federation, Moscow, Russia, Khasanov Ilnur I. , Shambazov Danil A. ,   Student, Ufa State Petroleum Technological University, Ufa, Russia
Published: January 2024

The authors explore the topic of accident rates in field pipelines. To increase the efficiency of using the results of inline diagnostics, the authors have developed a decisionmaking technique that, based on an analysis of identified defects, allows one to identify the most suitable type of repair, including taking into account their relative position. The use of the methodology in preliminary planning of work makes it possible to optimize the schedule of repair work and reduce the cost of operating pipelines.
MODIFICATION OF TRADITIONAL SUN DRYING TECHNIQUE USEDE FOR ALL AGRICULTURAL COMMODITIES
Authors: S.Badulla  , G.Lingaiah  , Sowmya Maddhela
Published: January 2024

The conventional method of sun drying, which is used for all agricultural products, was modified by solar drying. Solar dryers were first employed to dry non-agricultural goods, but their applications eventually expanded to include drying agricultural goods. Only big agricultural sectors in developing nations have been proven to be economically feasible for the high temperature dryers employed in industrialised nations, while small and medium-sized businesses typically cannot afford them because to their high cost and process unpredictability. In order to lessen the significant post-harvest losses, the advent of low-cost, locally made solar dryers offers a possible option. The potential to make high-quality items that can be sold seems to be an opportunity to help the farmers' financial position. Taking into account the low income of the rural population in developing countries, the relatively high initial investment for solar dryers still remains a barrier to a wide application. However, if it is manufactured by locally available material such as wood, glass etc., it will be economically affordable by the farmers
PREDICTIVE ANALYSIS FOR BIG MART SALES USING MACHINE LEARNING ALGORITHMS
Authors: G.Padma  , S. Chandana  , V.Romitha  , Reddy Y.Vanditha , M.Sukanya
Published: January 2024

Everybody wants to know how to buy goods cheaper or how to advertise them at low cost. Here is the answer. That is Big Mart. Big Mart is online one stop marketplace where you can buy or sell or advertise your merchandise at low cost. The goal is to make Big Mart the shopping paradise for buyers and the marketing solutions for the sellers. The ultimate goal is to prosper with customers. The project “PREDICTIVE ANALYSIS FOR BIG MART SALES USING MACHINE LEARNING ALGORITHMs” aims to build a predictive model and find out the sales of each product at a particular store. Big Mart will use this model to understand the properties of products and stores which play a key role in increasing sales. This can also be done based on the hypothesis that should be done before looking at the data
Successful endothelial monolayer formation on melt electrowritten scaffolds under dynamic conditions to mimic tunica intima
Authors: Loewner Sebastian , Heene Sebastian , Cholewa Fabian , Heymann Henrik , Blume Holger , Blume Cornelia
Published: January 2024

The lack of transplantable tissues and organs as well as the limitations of synthetic implants highlight the need for tissue-engineered constructs to obtain safe, long-lasting, and limitless tissue replacements. Scaffolds for cardiovascular applications, such as for a tissue-engineered vascular graft (TEVG), are thus highly required. For TEVGs, tubular scaffolds should support the formation of confluent endothelial layers in particular under dynamic conditions to prevent thrombosis and maintain hemostasis. For that purpose, a porous and highly diffusible scaffold structure is necessary to allow optimal cell adhesion as well as oxygen and nutrient exchange with the surrounding tissue. Here, we present a three-dimensional-printed scaffold made by a combination of fused deposition modeling (FDM) and melt electrowriting (MEW) out of polycaprolactone that enables monolayer formation and alignment of endothelial cells in the direction of medium flow under a shear stress of up to 10 dyn cm-2. Pore size and coating with human fibrin were optimized to enable confluent endothelial layers on the printed scaffold structures. Cell orientation and shape analysis showed a characteristic alignment and elongation of the tested endothelial cells with the direction of flow after dynamic cultivation. In contrast, melt electrospun scaffolds based on the same CAD design under comparable printing and cultivation conditions were not sufficient to form gapless cell layers. Thus, the new scaffold fabricated by MEW/FDM approach appears most suitable for TEVGs as a template for the innermost vascular wall layer, the tunica intima.