bluuebunny/crossref_metadata_2025 huggingface dataset:
Multiscale modelling of biogas purification using montmorillonite adsorbent
Authors:   , Khuzwayo Thandeka Ntombifuthi
Published: September 2024

Biogas, a renewable energy source derived from organic materials, offers significant potential for creating sustainable power sources and minimize environmental pollution. However, the presence of contaminants like carbon dioxide (CO2) and hydrogen sulfide (H2S) in biogas can reduce its usefulness and efficiency in a number of applications. To address this issue, this research focuses on the purification of biogas using clay adsorbent. This study investigates the adsorption capacity of clay minerals, such as montmorillonite, in removing CO2 and H2S from biogas. In this study, Grand Canonical Monte Carlo (GCMC) simulations were performed using a self-consistent forcefield to predict adsorption isotherms for methane, carbon dioxide, ethane, and hydrogen sulfide in montmorillonite lattice. The experimental setup involved a Pressure Swing Adsorption (PSA) column, where biogas passes through the adsorbent, leading to the adsorption of impurities while maintaining the methane content, thus enhancing the overall biogas quality. The model was fitted with Langmuir adsorption isotherms for all species at different pressures and ambient temperature, coupled with batch equilibrium approach to model the PSA system. The equilibrium modelling of a pressure swing adsorption system to purify CH4/CO2 feedstock was demonstrated in such that a system can be incorporated into a solar biogas reforming process, targeting purity of 93-96 mol-% methane, which was readily achievable. The modelling of PSA indicate that the system could produce over 96% of methane and a recovery of around 82% at low pressure. The findings suggest that the choice of clay adsorbent and optimization of process parameters can significantly enhance the purification efficiency of biogas via pressure-swing adsorption. The strong selectivity of the montmorillonite adsorbent has affinity to adsorb carbon dioxide and other species at low pressures, even though nitrogen require more pressure to be adsorbed onto the montmorillonite bed.
Analisis Pengenalan Pola Pada Citra Digital Untuk Prediksi Berat Buah Sawit
Authors: Ardi Wijaya  , Daryono Basofi Rachmadani , Rozali Toyib  , Yovi Apridiansyah
Published: September 2024

Bobot kelapa sawit merupakan salah satu faktor yang menunjang keberhasilan petani  kelapa sawit dalam mencapai hasil panen yang memuaskan. Informasi berat buah sawit biasanya diperoleh dengan menggunakan timbangan tangan yaitu timbangan gantung atau timbangan dacin. Cara lain untuk menentukan berat buah sawit adalah dengan menggunakan metode pengolahan citra. Pendekatan ini didasarkan pada metode deteksi tepi sobel untuk mendeteksi bobot buah sawit. Metode deteksi tepi Sobel adalah teknik dalam pengolahan citra untuk menemukan tepi atau perubahan tajam dalam intensitas piksel pada citra dan bertujuan untuk menentukan kontur buah sawit sehingga membantu dalam proses pengukuran berat. Pengolahan citra ini nantinya berupa foto digital yang diolah untuk memperoleh informasi berat buah sawit. Selanjutnya dilakukan studi kelayakan, analisis perhitungan akurasi system. Setelah rancangan ini selesai kemudian dibandingkan dan diuji dengan hasil bobot buah sawit yang diperoleh dengan timbangan Dacin. Adapun hasil dari penelitian ini yang telah diuji pada 50 citra buah sawit dengan jarak pengambilan gambar 1 meter menggunakan kamera Handphone telah diuji tingkat keberhasilan penelitian menggunakan Precission, Recall, dan Accuracy. Adapun hasil yang didapat dari Precission, Recall, dan Accuracy dari penelitian ini yaitu  Precission sebesar 82%, Recall sebesar 100%, dan Accuracy 82%.
Implementasi Smart Contract dalam Aplikasi Website Digitalisasi Realisasi Anggaran OPEX
Authors: Aida Lestari  , Alfa Ryano Yohannis
Published: September 2024

Pemalsuan data merupakan masalah serius yang dapat merugikan berbagai pihak. Dalam era digital, teknologi blockchain menawarkan solusi dengan menyimpan data secara permanen dan aman. Penelitian ini bertujuan mengembangkan sistem berbasis smart contract pada platform blockchain Ethereum untuk digitalisasi realisasi anggaran Operational Expenditure (OPEX) perusahaan, menggunakan metode SDLC Waterfall. Metode ini dipilih karena dapat menyelesaikan tantangan waktu pengembangan dan tidak melibatkan respons pengguna pada tahap awal. Hasil penelitian menunjukkan bahwa sistem ini mampu mengotomatisasi proses persetujuan anggaran, mengurangi waktu dan biaya, serta meningkatkan transparansi dan akuntabilitas. Hasil pengujian Unit Testing menunjukkan bahwa sistem berjalan sesuai harapan tanpa kesalahan. Pengujian gas rata-rata menunjukkan penggunaan 106.375,3 gas dengan biaya sekitar 0,00208 ETH atau Rp 139.129. Pada end-to-end testing menggunakan skenario proses pembelian server IBM, dimulai dari Budgeting Staff Controller yang menginput harga Rp 150.000.000 untuk pembelian IBM Power System S822LC Rack Server. Setelah pengajuan realisasi diajukan, kepala departemen melakukan pengecekan dan persetujuan, yang berlanjut melalui beberapa tahap hingga seluruh pengajuan disetujui. Implementasi teknologi ini diharapkan dapat meningkatkan efisiensi, transparansi, dan keamanan dalam pengelolaan anggaran di perusahaan.
A Conceptual Model of Public Service Employee Creativity
Authors: Uliani Zulfa , Runing Sawitri Hunik Sri
Published: September 2024

This article aims to explain the influence of rewards and knowled ge sharing on employee creativity by mediating organizational support for innovation and supervisor support as moderators. Various literature reviews have been carried out to determine the variables that build the conceptual model. The expected findings are a positive relationship between rewards and knowledge sharing and employee creativity, as well as the mediating role of organizational support for innovation and the mediating role of supervisor support. This research explains that the creativity possessed by employees is able to make the face of public services better according to society at large. The author hopes that this research can provide an understanding of the importance of employee creativity for service improvement and can be used as a strategy for organizations to see whether rewards and knowledge sharing can influence employee creativity. Apart from that, it is hoped that this paper can contribute theoretically, practically, and possibly be used for further research.
Renewable Energies and Sustainable Development
Authors: MOUDENE KHADIJA , RIDOUANE EJBARI
Published: September 2024

Renewable energies are at the heart of global energy transition strategies aimed at reducing greenhouse gas emissions and promoting sustainable development. This literature review explores the main aspects of renewables energies provide a solid basis for future developments in this crucial area.
The Effect of Energy Poverty on the Democratic Republic of Congo's Participation in Value Chains
Authors: Zi Ngeti Claude Nzeza
Published: September 2024

This paper analyses the effect of energy poverty on the Democratic Republic of Congo's participation in value chains over the period 1999-2020. Using the ARDL method. Our main result is that energy poverty worsens the Democratic Republic of Congo's participation in value chains in both the short and long term. Our result remains stable even when we change the measure of participation in value chains. This shows that energy poverty handicaps the Democratic Republic of Congo's participation in upstream and downstream value chains. We conclude with suggestions for improving access to energy, income, and the need to increase industrial enterprises to increase participation in GVCs.
Effect of Pension Fund Investment on Pension Fund Performance in Nigeria
Authors: NWALA  , Nneka Maurie , Mangba Solomon , UNOROH  , Faith Eseoghene
Published: September 2024

The study explored the intricate relationship between Pension Fund Investment (PFI) and the performance of pension funds in Nigeria, specifically focusing on Benefit Paid (BFP) and Investment Income (INVTI). The analysis employs regression models and statistical measures to unravel the dynamics at play within the pension fund ecosystem. The study employed ex postfacto research design to examine the effect of pension fund investment on pension fund performance in Nigeria. The regression analysis reveals a positive and statistically significant relationship between Pension Fund Investment and Benefit Paid, suggesting that increased investment positively influences the amount disbursed as benefits. In contrast, the study identifies a negative association between Pension Fund Investment and Investment Income, indicating potential challenges in generating income from investments. Given the positive relationship between Pension Fund Investment and Benefit Paid, pension fund administrators should continue to explore investment strategies that enhance fund performance, ultimately leading to increased benefits for pensioners.
The Impact of Earning Management, Inventory Intensity and Management Compensation on Tax Avoidance
Authors: Servantlord Jennifer , Akhadi Iman
Published: September 2024

The aim of this research is to examine the factors impacting tax avoidance in Indonesia. The study utilizes various independent variables including earnings management, independent commissioners, audit quality, management compensation, inventory intensity, and profitability. The dependent variable under investigation is tax avoidance. The research focuses on companies in the consumer non-cyclicals, consumer cyclicals, and basic material sectors listed on the Indonesia Stock Exchange from 2020 to 2022. Through purposive sampling, 54 companies fitting the criteria were selected then analyzed using multiple regression analysis. The findings suggest that audit quality has a positive correlation with the Cash Effective Tax Rate (CETR), indicating that higher audit quality leads to an increase in CETR and a decrease in tax avoidance. Meanwhile, earnings management, independent commissioners, management compensation, inventory intensity, and profitability have no effect on tax avoidance. This study is the first study conducted on companies in Indonesia that have engaged in tax avoidance during the Covid-19 pandemic (2020-2022).
THE VOCAL CYCLE “MACHINES AGRICOLES” AS A MANIFESTATION OF DARIUS MILHAUD’S CREATIVE CREDO
Authors: Zharkova Valeriya , Zharkov Oleksandr , Shang Yunan
Published: September 2024

ABSTRACT
The purpose of this study was to identify the key aspects of Darius Milhaud’s creative credo through the lens of the vocal cycle “Machines agricoles”. The musical elements in the vocal cycle were investigated to analyse its composition. The study of Darius Milhaud’s work, including his vocal compositions, revealed the influence of historical events, cultural and social trends on his music, considering the context of the time. The study also covered the unique features of Milhaud’s creative style in this particular vocal cycle. Additionally, the socio-cultural aspects of the period were highlighted. The analysis of the vocal cycle “Machines agricoles” underscored its significance in the artistic context. Therewith, issues that cause differences in its interpretation were identified. Reflecting the interaction with the cultural context and personal feelings, this cycle is not only a piece of music, but the embodiment of a new understanding of human and nature. The analysis of the composition and aesthetic aspects of this cycle revealed the profound significance of Milhaud’s creative principle. This study opened new perspectives for understanding Milhaud’s creative legacy and contributed to a broader understanding of the art and cultural context of the time. The study of the vocal cycle “Machines agricoles” by D. Milhaud helped to expand the understanding of the composer’s creative heritage and his approach to composition. The study highlights Darius Milhaud’s unique musical techniques in vocal cycles, offering insights into his creative process. It underscores Milhaud’s significance in 20th-century music and his impact on musical culture.
ESG in the Sustainability Report and the Impact on Investors' Choices: A Literature Review
Authors: Roque ROQUE Ana Filipa Marques
Published: September 2024

The main objective of this article is to understand whether there is evidence to prove the relationship between the inclusion of Environmental, Social, and Governance (ESG) in the Sustainability Report and the impact on investors' choices. In this sense, it seeks to demonstrate through the literature review that companies that publish non-financial information through ESG ratings tend to be chosen by investors and that good ESG rating results represent a relevant and decisive factor when choosing an investment.
Is the Chief Information Security Officer an Orchestra Conductor or a Concertmaster? Qualitative research from France
Authors: LANG Daniel
Published: September 2024

As companies become increasingly global and Internet based, information security has become a critical issue for organizations. To face these new threats, the position of Chief Information Security Officer (CISO) has emerged in many companies. We aim to study this new career and determine its current scope of actions and seek to investigate this new profession in terms of roles, tasks and competencies. This study relies on a qualitative questioning methodology, with structured face-to-face interviews in France. Despite many contributions on security risk management, there is limited research on the CISO profession. The CISO needs many skills, competencies, and carries out a range of tasks.
Social Impact of Technological Development Through Digitalisation In the Construction Industry
Authors: REXHAJ Gentjana
Published: September 2024

Digitalisation in the construction industry has a significant social impact. The introduction of digital technologies such as Building Information Modelling (BIM) is improving working conditions, creating new jobs and changing qualification requirements. The efficiency and quality of construction projects are optimised through more precise visualisation and better collaboration. Digitalisation also contributes to sustainability in the construction industry by reducing the use of resources and construction waste. However, challenges include the loss of traditional jobs and the risk of a digital divide, which can cause social inequalities. Targeted measures are therefore needed to ensure fair access to digital technologies. In addition, there are still gaps in knowledge regarding the impact on existing infrastructures and the standardisation of digital applications. The integration of BIM into the life cycle of infrastructure projects is of great importance for efficiency and sustainability. Further research is needed to exploit the full potential of digitalisation in the construction industry.
Classics: Inside Out and Upside Down
Authors: Katz Joshua T.
Published: September 2024

An ostracized humanities professor defends the study of Classics against the “loud voices inside the academy” that have “been calling for burning down the field.”
Nothing but Shallow Resentment
Authors: Riley Alexander
Published: September 2024

Alexander Riley reviews Ibram X. Kendi and Keisha N. Blain’s Four Hundred Souls: A Community History of African America, 1619-2019
RISCOS PERIODONTAIS ASSOCIADOS À MÁ ADAPTAÇÃO DE FACETAS DE PORCELANA
Authors: Sousa Arisa Tawana Pinheiro , Sousa Vanessa Mendes de , Campos Marta Rosado de Oliveira , Soares Lilian Gomes , Rocha Marcelya Chrystian Moura , Verde Giselle Maria Ferreira Lima
Published: September 2024

As facetas de porcelana têm sido amplamente adotadas devido à sua crescente popularidade impulsionada pelas mídias sociais. São restaurações duráveis e esteticamente similares aos dentes naturais, sendo frequentemente escolhidas para melhorias estéticas. A habilidade técnica adequada do cirurgião-dentista é essencial para realizar o procedimento estético de forma a evitar problemas periodontais. Este estudo tem por objetivo revisar a literatura sobre os impactos da má adaptação das facetas de porcelana no periodonto, evidenciando assim, as falhas ocasionadas e seus problemas causados ao tecido periodontal. Trata-se de uma revisão bibliográfica integrativa com abordagem qualitativa. Os artigos foram selecionados nas bases de dados LILACS, SCIELO, PUBMED. A literatura aponta que problemas como excesso de cimento, de indicações inadequadas, preparo deficiente, invasão do espaço biológico, ajuste oclusal incorreto e falta de acompanhamento adequado podem resultar em várias condições periodontais, como inflamação gengival, sangramento, halitose, vermelhidão, perda de suporte, recessão gengival e até reabsorção óssea alveolar. Estes problemas muitas vezes só podem ser corrigidos por meio de procedimentos mais invasivos ou substituição das facetas, acarretando significativos danos aos pacientes. Diante disso, conclui-se que alguns cirurgiões-dentistas, motivados por ganhos financeiros, realizam procedimentos estéticos sem o devido conhecimento técnico e cuidado biológico com o periodonto. Isso resulta em sérios problemas para os pacientes, refletindo irresponsabilidade profissional. A essência da profissão odontológica é preservar e promover a saúde oral, responsabilidade que não pode ser negligenciada.
Technical note: A comparative study of chemistry schemes for volcanic sulfur dioxide in Lagrangian transport simulations: a case study of the 2019 Raikoke eruption
Authors: Liu Mingzhao , Hoffmann Lars , Grooß Jens-Uwe , Cai Zhongyin , Grießbach Sabine , Heng Yi
Published: September 2024

Abstract. Lagrangian transport models are important tools to study the sources, spread, and life time of air pollutants. In order to simulate the transport of reactive atmospheric pollutants, the implementation of efficient chemistry and mixing schemes is necessary to properly represent the lifetime of chemical species. Based on a case study simulating long-range transport of volcanic sulfur dioxide (SO2) for the 2019 Raikoke eruption, this study compares two chemistry schemes implemented in the Lagrangian transport model Massive-Parallel Trajectory Calculations (MPTRAC). The explicit scheme represents first-order and pseudo-first-order loss processes of SO2 based on prescribed reaction rates and climatological oxidant fields, i. e., the hydroxyl radical in the gas phase and hydrogen peroxide in the aqueous phase. Furthermore, an implicit scheme with a reduced chemistry mechanism for volcanic SO2 decomposition has been implemented, targeting the upper troposphere and lower stratosphere (UT/LS) region. Considering non-linear effects of the volcanic SO2 chemistry in the UT/LS region, we found that the implicit solution yields a better representation of the volcanic SO2 lifetime while the first-order explicit solution has better computational efficiency. By analysing the dependence between the oxidants and SO2 concentrations, correction formulas are derived to adjust the oxidant fields used in the explicit solution, leading to a good trade-off between computational efficiency and accuracy. We consider this work to be an important step forward to support future research on emission source reconstruction involving non-linear chemical processes.
On the lidar-turbulence paradox and possible countermeasures
Authors: Peña Alfredo , Yankova Ginka Georgieva , Mallini Vasiliki
Published: September 2024

Abstract. We describe the major difficulties in establishing a physics-based method that corrects lidar-based turbulence measures so that they become equivalent to standard turbulence measures. The difficulties encompass the so-called lidar-turbulence paradox, which we circumvent in two ways. The first uses a physics-based lidar-turbulence model and the second directly uses lidar measurements, both approaches aiming at training neural networks. The measurements are from continuous-wave Doppler lidar wind profilers deployed besides a tall 250-m meteorological mast at the Østerild test station in Denmark. Sonic anemometers on the mast match four lidar measurement levels, from 37 up to 241-m height. The physics-based lidar-turbulence model predicts well the behavior of the ratio of the lidar-to-sonic along- and cross-wind velocity variance up to 103 m. However, it predicts further decreasing ratios at 175 and 241 m, while the observations show increasing ratios for a number of stability conditions and length-scale ranges. The physics-based lidar-turbulence model is used to produce physics-based datasets, which are utilized to train neural networks. Compared to turbulence intensity measurements from a first lidar, the predictions of these neural networks are in better agreement with the sonic-based measures for most mean wind speed bins at 37 and 103 m. At 175 and 241 m, the predictions' accuracy reduces and better agreement is achieved within the highest mean wind speed ranges only. Measurements from a second lidar are used to generate predictions of turbulence intensity with neural networks trained with measurements from the first lidar. At 37 and 103 m, these predictions are also in better agreement with the sonic-based measures than those of the second lidar for most mean wind speed ranges. However, at 175 and 241 m, turbulence measures derived from the second lidar are generally close to the sonic-based values, while the predictions overestimate them. We speculate either that the assumption of turbulence homogeneity within the lidar scanning pattern might not hold at the site and/or that the Doppler radial velocity spectra of the lidars might be contaminated, thus impacting the radial velocity estimates particularly with increasing focus distance.
Is It Athene, Minerva, or Estelle Disguised as Mentor? Or, Mentoring the Next Generation: Jorgensen as mentor qua Mentor
Authors: Stover Pamela
Published: September 2024

The work of a mentor takes many forms. There is the formal mentoring of a student or a colleague done by advisors and professors. From Homer’s Odyssey, however, comes another image in the character of “Mentor,” the trusted friend of Odysseus who was charged with the care of Odysseus’s young son, Telemachus. Although Mentor was male, there are two instances in literature wherein females—Pallus Athene and Minerva— took the form of Mentor and were successful where “Mentor” had failed. The feminine image of “Mentor in disguise” will be explored in this chapter to illustrate Jorgensen’s approach to mentoring a generation of students, writers, scholars, professors and philosophers in both formal and informal settings. The mentoring by Jorgensen – mentor qua Mentor –emulates Athene and Minerva as all three women assume the role ofMentor. Through the past 40 years Estelle Jorgensen has mentored countless students and colleagues in her career in higher education. She has chaired at least 37 doctoral dissertations and documents at Indiana and Walden Universities and as an outside reader. This historical sketch will present Jorgensen’s work as a thesis and dissertation advisor as well as an informal mentor and as Mentor.
23. TỶ LỆ NHIỄM VI RÚT VIÊM GAN B Ở NỮ GIỚI NGƯỜI ĐỒNG BÀO KHMER NAM BỘ HUYỆN TRÀ CÚ TỈNH TRÀ VINH
Authors: Trinh Lê Thị Diễm , Bình Võ Trần Trọng , Kiệt Huỳnh Trần Tuấn , Hớn Huỳnh Ngọc , Dũng Nguyễn Trí , Tuân Nguyễn Mạnh
Published: September 2024

Đặt vấn đề: Viêm gan B là một trong những nguyên nhân chính gây ra tình trạng sức khỏe kém trên toàn cầu, đặc biệt là ở các quốc gia có thu nhập thấp và trung bình. Nó là một bệnh nhiễm trùng gan do nhiễm vi rút viêm gan B tấn công vào gan và có thể gây ra bệnh lý cấp tính hoặc mạn tính. Việt Nam cũng như các nước thuộc khu vực Đông Nam Á, là quốc gia có tỷ lệ nhiễm vi rút viêm gan B cao trên thế giới. Vì vậy cần phải xác định được việc nhiễm vi rút viêm gan B sẽ góp phần làm giảm sự ảnh hưởng xấu đến sức khỏe của người dân, từ đó đưa ra những giải pháp can thiệp kịp thời và phù hợp trên nhóm đối tượng nguy cơ trong tương lai.
Mục tiêu: Xác định tỷ lệ nhiễm vi rút viêm gan B ở nữ giới đồng bào Khmer Nam Bộ trong độ tuổi 18 – 60 tại huyện Trà Cú, tỉnh Trà Vinh năm 2021.
Đối tượng và phương pháp: Với thiết kế nghiên cứu cắt ngang mô tả 288 nữ giới đồng bào Khmer Nam Bộ 18 – 60 tuổi được lựa chọn bằng phương pháp chọn mẫu theo kích cỡ dân số (PPS). Nghiên cứu sử dụng bộ câu hỏi soạn sẵn phỏng vấn trực tiếp để đánh giá kiến thức phòng chống nhiễm vi rút viêm gan B của đối tượng nghiên cứu.
Kết quả: Tỷ lệ nhiễm vi rút viêm gan B 288 nữ giới tham gia nghiên cứu là 7,6%. Yếu tố liên quan với nhiễm vi rút viêm gan B là trình độ học vấn, kiến thức về sự lây nhiễm, hậu quả nhiễm, thực hành trong y tế.
Kết luận: Tỷ lệ nhiễm vi rút viêm gan B ở nữ giới trong độ tuổi từ 18- 60 tại huyện Trà Cú, tỉnh Trà Vinh sau nghiên cứu hiện tại đang ở mức thấp. Nhưng các ban ngành địa phương cần phải chú ý quan tâm để nâng cao kiến thức cho người dân.
PREVENTIVE BEHAVIORS FOR DENGUE HEMORRHAGIC FEVER
Authors: Masrur  , Ali Harokan  , Arie Wahyudi
Published: September 2024

Dengue fever is a viral infection caused by the dengue virus which is transmitted to humans through the bite of an infected mosquito. About half of the world's population is now at risk of dengue fever with an estimated 100–400 million infections occurring annually. This study aims to determine factors related to dengue prevention behavior in the East Ogan Komering Ulu District Health Service in 2024. The design of this research is quantitative with a cross-sectional approach.  The population of this study was visits to the Gumawang Health Center in 2024. The sample in this study consisted of 93 respondents. The sampling method used purposive sampling. This research was carried out on 15-26 February 2024. Data was collected using a questionnaire. Bivariate data analysis used the Chi-Square test and multivariate logistic regression. Data collection using questionnaires. Results of statistical test analysis using the Chi-Square statistical test. The results of the study knowledge (p value 0.022), draining the landfill (p value 0.047), preventive measures (p value 0.005) and ventilation (p value (0.017). Age (p value 0.35), mosquito wire installation (p value 0.47) with dengue hemorrhagic fever (DHF) prevention behaviour at the East Ogan Komering Ulu District Health Office in 2024.  The most dominant factor with dengue hemorrhagic fever (DHF) prevention behaviour is DHF prevention measures (p Value = 0.003) (OR 0.252). Conclusion There is a relationship between knowledge, landfill draining, preventive measures and ventilation. For the Health Office to carry out dengue prevention activities, carried out routinely and scheduled integrated in basic health services.
Coronanomics: Implications of COVID-19 Pandemic in The Economy in Indonesia
Authors: Maghfuriyah Alfi , Dewi Nur Fitri , Antono Zakia Maulida
Published: September 2024

Coronanomics is the impact of the Covid-19 pandemic on the economy. The purpose of this study is to analyze the impact of the Covid-19 pandemic on the macro economy which includes several macro indicators, namely data on economic growth, inflation rates, interest rates, consumption, and investment in Indonesia as well as government policy responses in overcoming the Covid-19 pandemic. This study uses a literature study by taking data from several literatures that support the research process. This study uses quantitative data that is described qualitatively to analyze the impact on the macro economy. Data collection techniques used by listening and analyzing data by means of data reduction, data display, and an overview about the literature to be developed in this study. The results showed that the Indonesian economy in the third quarter of 2021 increased by 3.51% (yoy), although it slowed down compared to the previous quarter's achievements, household consumption grew by 1.03% (yoy). Investment growth slowed by 3.74% (yoy), supported by construction investment. The government's consumption performance was 0.66% (yoy), in line with the reallocation of spending to accelerate the national economic recovery program, including the handling of the Covid-19 delta. The inflation rate in October 2021 was 0.93%, a decrease compared to inflation in 2020 of 1.66%. The government's policy responses that have been carried out in order to overcome the Covid-19 pandemic are divided into two, namely through the Covid-19 Handling Policy and the National Economic Recovery Policy (PC-PEN).
The Role of Perceived Ease of Use and Cashback Promotions on Impulsive Purchases of Shopeepay Users
Authors: Yoma Melita Apri , Desiyanti Rika
Published: September 2024

The impact of development technology from product digital wallet against impulse buying is a significant phenomenon. This study aims to analyze the effect of perceived ease of use, cashback promotions, and financial literacy on impulse buyers of shopeepay users. Respondents used were Faculty of Business Economics students at private universities in Padang City. This research uses a purposive sampling technique with 80 respondents. The validity method was carried out using Confirmatory Factor Analysis (CFA), while multiple regression analysis using the STATA application was used to test the research hypothesis. The results showed that perceived ease of use and cashback promotions had a positive influence on impulse purchases, while financial literacy did not show a significant effect. The contribution of this research is to provide a deeper understanding of the factors that influence impulse buying in the digital era, especially those related to perceived ease of use, cashback promotions, and financial literacy in using shopeepay.
Analysis of the Effect of Quay Container Crane Available on Dwelling Time at Jakarta International Container Terminal
Authors: Gurning Ridho Hans , Dendra Feby Gusti , Shalihah Adinda Rahmah
Published: September 2024

The efficiency of loading and unloading dwelling time at the port has been done a lot. The problem at PT JICT is that there has been a decrease in throughput for the last three years, this has an effect on operational performance. operational performance is a representation of the achievement of all targets, thus the company always aims to improve its operational performance. Another problem is that the terminal's operational equipment has begun to be obsolete, which hinders the loading and unloading operation time, the lack of operational equipment that supports the loading and unloading process. The operational equipment studied is the Quay Container Crane which is seen from the available condition. All of these problems will have an impact on dwelling time at PT JICT which can affect operational performance. This research is expected to provide recommendations to PT Jakarta International Container Terminal to prepare adequate operational equipment so that the resulting dwelling time is known. This research method uses a dynamic system model and validation test with behavior pattern test. The results of the dynamic system model validation obtained dwelling time between 2.79 - 4.56 days, mean error of 3% and standard deviation error of 11%. Maintenance of quay container cranes has an influence on unloading productivity which has an impact on dwelling time. Based on 60 data, the quay container crane available variable is seen based on quartile values consisting of quartile 1 (Q1), quartile 2 (Q2) and quartile 3 (Q3). In the quay container crane available variable, the dwelling time value in quartile one is 1.34 days, quartile two is 1.47 and quartile three is 1.51 and the dwelling time value in quartile one is 14 units, quartile two is 12 units and quartile three is 10 units.
Recycling industrial and municipal waste to prevent dangerous increases in the Earth's atmospheric temperature
Authors:   Federal Technological University, Curitiba, Federative Republic of Brazil, Mymrin V.A.
Published: September 2024

In order to assist enterprises in solving their environmental problems, the author has spent over 60 years developing methods (compositions and technologies) for using about 100 different types of industrial and municipal waste (IMW) as raw materials for producing new environmentally friendly materials with the properties of concrete without Portland cement, ceramics, glass ceramics, refractories, plaster, heat and sound insulators, new types of fuel with increased calorific value, foundations for highways, airfields, urban and industrial landfills, dam cores, etc. As a result of field tests conducted in various regions, including Siberia and the North of the country, the developed compositions and technologies for creating foundations for highways were included in the building codes SN 25-74 [3] of the former USSR and are widely used in construction practice. Currently, the author is implementing projects for branches of international concerns RENAULT, VOLVO, BOSCH, ODEBRECHT, PETROBRAZ, SANEPAR, KOSELPA and other enterprises and municipalities of Brazil on the use of their PMO for the production of new, primarily building materials with high economic and environmental efficiency.
Quality Evaluation of Composite Flour From Wheat, Soybean and Sunflower Seeds for Bread Making
Authors: C. T. Msugh , C. A. Adah , K. Asemave
Published: September 2024

Composite flours with good functional properties and high nutrient content was developed by substituting wheat with soybeans and sunflower seed flour. Wheat flour was supplemented with soybeans and sunflower seeds flour at a ratio of 100:0:0, 90:10:10, 80:10:10, 70:20:10 and 60:30:10, respectively. Standard analytical procedures were used for all the analysis on the samples. The composite flours obtained were evaluated for their functional properties, proximate composition and antinutritional properties. The results for the functional properties showed values which ranged from 1.76 to 2.38 mL/g and 1.85 to 2.45 mL/g for water absorption capacity, 1.02 to 1.10 mL/g and 1.10 to 1.25 mL/g for oil absorption capacity, 0.40 to 0.78 g/mL and 0.52 to 0.78 g/mL for bulk density, 8.33 to 12.10% and 8.66 to 12.10% for swelling capacity and 4.00 to 10.00% and 4.00 to 9.00% for least gelation concentration, respectively for the flours and flour blends. Addition of soybeans and sunflower seeds flour led to significant (p<0.05) increase in the protein content (15.22 to 28.90%), ash (1.01 to 3.31%), crude fibre (1.34 to 2.97%), fat (5.39 to 16.37%), energy value (388.05 to 434.67%) and a decrease in carbohydrate (69.68 to 42.94%) and moisture content (7.38 to 5.3%) for the flour blends. Processing methods affected the antinutritional factors as there was no significant increase in the tannin content (0.43 to 0.65 mg/100g), saponins (0.36 to 0.43 mg/ 100g), oxalates (1.24 to 2.40 mg/100g) and phytates content (1.22 to 2.12 mg/100g) concentration of the composite flour. The results reveal that the wheat, soybeans and sunflower seeds flours had good functional and nutritional density.
Insecurity and Communal Conflicts in Akwa Ibom State, Nigeria
Authors: U. V. Esara, , M. E. Asuquo, , F. F. Obonah, , H. T. Eshiet,
Published: September 2024

Communal Conflicts is a social problem that affects a significant number of communities in Akwa Ibom States and Nigeria in general. Some lingering Communal Conflicts have affected the past generations, present generation and also attempting to affect future generations if not properly resolved. Most communal conflicts in Akwa Ibom State are direct consequences of the lack of proper demarcation of the boundaries between these communities. The main objective of the study was to investigate the factors that necessitate communal conflicts among communities in Akwa Ibom State. The study adopted a survey design. Data were obtained from two sources; Primary Source and Source. Primary data were obtained through interviews and participant observation, while secondary data were obtained from extant literature. Respondents were selected using multiple sampling techniques, this includes purposive, Snowball and random sampling techniques. Two Sociological theories were used to explain the study these include, the Human Need Theory and the Frustration-Aggression Theory. The study recommends (amongst others) that the government should constitute a Panel that would fix Proper boundary demarcation between these communities. The reports of a panel of inquiry "White paper" should be properly implemented to forestall future communal conflicts in Akwa Ibom State. Government should do away with every form of political interest and bias to ensure that Peace is restore among the warring Communities.
Application of Mobile App for On-Site Geoid and Orthometric Height Determination
Authors: Daniel M. G. , Aleem K. F. , Funtua I. F. , Haruna Y. S. , Effiom I. U.
Published: September 2024

Determining the vertical component is an essential step. However, due to the exact elevations in relation to a reference surface (e.g., mean sea level), obtaining it is expensive and technically difficult. Through the integration of mobile app technology for surveying and geodetic applications, this research investigated a novel way to on-site geoid calculation. The study, which was carried out in Port Harcourt, Lagos, and Bauchi, effectively created a mobile application utilizing the EGM2008 model and showed that it was more accurate than previous models at capturing geoid and orthometric heights. Despite some non-linear variances brought on by topographical characteristics, the app demonstrated a good correlation between app-generated and observed orthometric heights. In particular, the EGM08 model app routinely beat the SATLEVEL (MAE = 0.011983 in Port Harcourt and 0.060568 in Lagos) and 7-parameters models (MAE = 0.584951 in Port Harcourt and 2.140581 in Lagos). The study concluded that this integrated approach could revolutionize geodetic fieldwork by giving surveyors precise and dependable tools. It also suggests practical implementation, collaboration, and ongoing testing.
A Mathematical Model to Enhance Creativity in Generative AI Systems
Authors: Nisha Wankhade
Published: September 2024

People often think it will be hard for artificial intelligence (AI) systems to copy creativity because it is a complicated and important part of human intelligence. Generative AI, which tries to make new and useful things, has shown promise in being able to copy creative processes. However, generative AI systems that are already in use often have trouble making results that are truly original. This is mostly because there isn't a clear scientific framework to help people be creative. We present a new mathematical model to improve creativity in creative AI systems in this work. Our model is based on the ideas of lateral and convergent thinking, which are important parts of how people think creatively. Divergent thinking means coming up with many ideas or solutions, while convergent thinking means picking the best ones and making them even better. To put our model into action, we come up with the idea of a "creativity score," which measures how new and useful the results are. The creativity score is determined by looking at a number of things, such as the variety of outputs, how different they are from current solutions, and how useful they are for fixing the problem at hand. Finding the right balance between divergent and convergent thinking is one of the hardest parts of making generative AI systems more creative. Divergent thinking is important for coming up with many ideas, but convergent thinking is needed to pick out the best ones and make them even better. This problem is solved by our model, which uses both divergent and convergent thought. To make sure our model works, we test it on different creative AI tasks, such as making images and writing text. Our results show that our model can greatly improve the creativity of generative AI systems, resulting in more varied, unique, and useful outputs.
Quantum Computing Techniques for Numerical Linear Algebra in Computational Mathematics
Authors: Sharada Narsingrao Ohatkar
Published: September 2024

Quantum computing is a new and exciting area of computational mathematics that has the ability to solve very hard problems that traditional computing methods have not been able to solve for a long time. This abstract goes into detail about how quantum computing can be used in numerical linear algebra, which is an important part of computational mathematics that is used in many fields, such as science, engineering, and data analysis. The idea behind quantum computing is new. It uses quantum bits (qubits) and quantum gates to do calculations in a very different way, based on the rules of quantum physics. Because of this change in thinking, quantum computers might be able to solve some numerical linear algebra problems a lot faster than traditional computers. The outline then talks about some of the most important quantum computing methods and algorithms that are made for numerical linear algebra problems. There are quantum versions of standard algorithms like matrix multiplication, Gaussian elimination, and singular value decomposition. There are also new algorithms that are intended to use quantum parallelism and interference to speed up computations. For situations where full-scale quantum gear is not yet available, quantum-inspired methods are also talked about. These blend conventional and quantum techniques. The abstract talks about the difficulties and chances of using quantum algorithms for numerical linear algebra on quantum hardware systems that are available now and in the near future. It talks about things like error correction, qubit coherence times, and making efficient quantum circuit implementations. Lastly, the abstract talks about how quantum computing might change computational mathematics. It imagines that advances in quantum computing could help solve numerical linear algebra problems that were previously impossible to solve. This could have huge effects on many fields, from machine learning and optimization to quantum chemistry and cryptography. In the end, it stresses how important it is for mathematicians, computer scientists, physicists, and engineers to work together across disciplines in order to fully utilize the transformative power of quantum computing in numerical linear algebra and other areas.
Computational Fluid Dynamics in Wind Energy: Modeling and Optimization for Turbine Design
Authors: Rahul Atmaram Wagh
Published: September 2024

Renewable energy sources are hard to come by, but wind power has become one of the most popular options because it can make a lot of clean electricity. For wind energy to be used properly, however, turbines need to be designed in a way that takes into account the surrounding environment. To model and improve wind turbine systems, computational fluid dynamics (CFD) has become very important. It lets engineers simulate complicated fluid flow processes and improve turbine performance.  When it comes to wind energy, this study mainly talks about how CFD can be used to model and improve rotor designs. Experts can learn more about the complicated fluid dynamics around wind turbines by using CFD models. For example, they can learn how the rotor blades interact with the wind flow moving in. Calculative fluid dynamics (CFD) makes it easier to guess things like power output, efficiency, and structure loads for wind turbines by accurately modeling turbulence, boundary layers, and other airflow effects. An important other topic this paper covers is how to make wind machine designs work better. To find the best setups for capturing energy while using the least amount of materials and spending the least amount of money on upkeep, engineers can combine computational fluid dynamics (CFD) with optimization methods. Blade shape, tower height, turning angle, and rotor speed are just some of the design factors that this optimization process looks at. We can make very efficient and cost-effective wind turbine systems that are perfect for each spot by using CFD-driven optimization methods and running models and analyses over and over again.  For better confidence and accuracy in turbine design predictions, this study talks about how to combine CFD models with actual confirmation. Engineers can make sure that CFD models work in a wide range of situations by comparing modeling results with readings taken in the real world. It also helps to improve the models.  This paper emphasizes how important CFD is to the progress of wind energy technology by giving a thorough look at its uses in designing turbines and their optimization, proof, and development. Potential for improving the efficiency and long-term viability of wind power generation stays high as long as more study and new ideas are put into CFD-driven methods.
Comparative Analysis of Semantic and Syntactic Approaches in Automatic Text Summarization: A Comprehensive Review and Evaluation
Authors: Manisha Sachin Dabade
Published: September 2024

It is very important to use automatic text summarization to turn long chunks of text into short, useful snippets. In the area of automatic text summary, this study looks at both semantic and syntactic methods in great detail. Using methods like natural language understanding and semantic processing, semantic approaches try to get meaning and context from writing. These methods try to get at the main ideas and connections in the material so that recaps can be more complex and full of information. Syntactic methods, on the other hand, focus on the structure of language, such as grammar and syntax. To find important sentences and phrases for summarization, methods like sentence extraction based on grammar patterns and grammatical analysis are used. Syntactic methods often make sure that the outlines they create are grammatically right and make sense. This review compares both methods in a number of areas, such as how well they capture the spirit of the original text, how well the generated snippets make sense, how quickly they can be produced, and how well they can be used with different types of material. The pros and cons of each method are shown in comparative studies, which help us understand how they can be used in various areas and situations. Recent improvements that combine semantic and syntactic methods have also shown promise in making automatic recaps better overall and more helpful. The goal of these mixed methods is to make reports that are both verbally and semantically correct by using the benefits of both semantic understanding and syntactic structure. This review gives us a more complete picture of how automatic text summarization methods are changing. It stresses how important it is to look at both semantic and syntactic approaches in order to make the field move forward and create better and more advanced summary systems.
Establishing and Promoting the Book Wagon: Mary Lemist Titcomb’s Negotiations of Gender, Class, and Region
Authors: Pavia Catherine Matthews
Published: September 2024

In 1905, the librarian Mary Lemist Titcomb sent her library’s janitor into the Maryland countryside with a wagon full of books, thereby establishing the first bookmobile in the United States. Titcomb was a deliberate rhetor who proactively distributed her writings to encourage the adoption of the book wagon throughout the United States and the world. She used place-based rhetoric to establish her own ethos. She also leveraged her material environment in order to promote the book wagon, speak back to negative stereotypes of rural people, and negotiate gender and class associations surrounding librarians and their place.
Interweaving Ideologies of Early Modern Empires: A Morisco View
Authors: Zhiri Oumelbanine
Published: September 2024

This article argues that Ahmad al-Hajarî (ca. 1569–after 1640), a Morisco exile to North Africa, helped propagate and counter the imperial ideologies of the Habsburgs in the Arab-speaking world. Thanks to his intimate acquaintance with Spain in which he was raised as a Christian, and to his knowledge of Christian scripture, he could describe and explain the apocalyptic underpinnings of imperial views of the Spanish monarchy. He could also propose his own defense of the Muslim realms, especially the Ottoman Empire, to counter the Spanish and Christian pretensions to universal millenarian monarchy. He thus helped the interweaving of imperial ideologies across boundaries and extended the domain of what the late Cornell Fleischer termed a “Mediterranean Apocalypse.”