Development of an Optimization Software for Bioremediation of Hydrocarbon-Contaminated Soils mechanisms

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A sophisticated software solution designed to enhance bioremediation processes in hydrocarbon-contaminated environments. This Advanced Bioremediation Optimization Software combines complex algorithms, real-time sensor data integration, and a user-friendly interface to deliver customized solutions for environmental restoration projects. The software utilizes predictive modeling to forecast remediation outcomes, optimizes treatment strategies based on ongoing data analysis, evaluates microbial communities through metagenomic sequencing data, and generates evidence-based recommendations to improve bioremediation efficiency. This tool represents a significant advancement in environmental restoration technology, offering practitioners a means to enhance the efficacy and cost-effectiveness of bioremediation projects. It also provides detailed economic projections to support informed decision-making by stakeholders, making it a valuable asset in the field of environmental remediation.

Genetic Identification of Endemic Fish Nomorhamphus liemi Vogt, 1978 from Sigi, Central Sulawesi, Indonesia

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Sulawesi Island is geographically included in the Wallacea region, a transitional area between the Oriental and Australian zones, which makes Sulawesi’s fresh waters have a high level of fish species diversity. Some fish species found in Sulawesi freshwater are endemic. Research on Sulawesi endemic fishes in rivers is not as much as research on endemic fishes in lakes. Nomorhamphus liemi or locally known as angculung is one of Sulawesi’s endemic fishes. This species belongs to the sub-family Zenarchopterinae. The majority of species from the Zenarchopterinae sub-family are sexually dimorphic. This study aimed to molecularly identify angculung fish species using COI markers in the region. A total of nine angculung fish were collected and preserved using 96% alcohol. In the laboratory, tissue taken from the back of the dorsal fin was isolated and extracted, then amplified by PCR before sequencing. Sequencing results were validated on BLASTn, showing that nine samples belonged to Nomorhamphus liemi with 98-99% sequence similarity. The nucleotide base sequences were then analyzed using MEGA 7.0 software. The genetic distance of mackerel in these waters showed a close relationship. Phylogeny tree results showed population mixing so that mackerel in these waters can be managed in one management unit, especially in Sulawesi.

Moderation of Life Style on the Influence of Financial Literacy and Self-Control on the Saving Behavior of Millennial Employees in Denpasar City

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This study aims to analyze the influence of financial literacy and self-control on the saving behavior of millennial employees, as well as the moderating role of lifestyle in the relationship. Financial literacy, which includes an individual’s understanding of basic financial concepts and money management, is hypothesized to play an important role in increasing saving behavior. Self-control, an individual’s ability to resist consumer impulses and make wise financial decisions, is also considered a key factor influencing the tendency to save. However, excessive consumption behavior as part of the millennial lifestyle can potentially hinder savings efforts even though they have adequate financial literacy and self-control. In this study, lifestyle is modeled as a moderating variable that can weaken or strengthen the influence of financial literacy and self-control on saving behavior. Data collection was conducted through a survey of millennial employees from various job sectors. Data analysis used the moderated regression method to test the interaction between financial literacy, self-control, and lifestyle in influencing saving behavior. The results showed that financial literacy and self-control had a significant positive effect on saving behavior. However, lifestyle acts as a negative moderator, where a consumptive lifestyle weakens the relationship between financial literacy and self-control with saving behavior. This finding provides practical implications for individuals and companies, especially in raising awareness of the importance of lifestyle control and financial literacy to encourage better saving behavior among millennial employees.

A Clinical and Radiographical Study on Augmentation of Fracture Healing in Long Bones of Dogs Using Synthetic Nanohydroxyapatite

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Long bone fractures in six dogs were stabilized with intramedullary pinning and synthetic nanohydroxyapatite (Nha) graft material was deposited at the fracture site intra-operatively. The fractures were classified according to AO ASIF method of classification and the outcome of open reduction and internal fixation was evaluated based on clinical and radiological studies, on 7th, 15th, 30th and 45th post- operative days. Post-operative weight bearing and angulation and lameness grading, radiographic evaluation for alignment and implant stability were also evaluated. The stabilization technique proved to be satisfactory in all the cases. The radiographic score indicated better long bone fracture healing with Nha alone as a graft.

Impact of Indoor Air Pollution on Women’s Health: A Study on Sylhet City

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Indoor air pollution is a significant and often overlooked environmental concern that has far-reaching implications for human health. In Bangladesh, indoor air pollution is one of the greatest environmental health risks. The study aims to provide insights into the specific ways in which indoor air pollution affects women’s health and well-being, as well as to identify potential strategies for mitigating these effects. With a focus on the diverse sources of indoor pollutants and their potential health effects. This qualitative research paper describes the impact of indoor air pollution on women’s health, focusing on the experiences, perceptions, and challenges faced by women in relation to their indoor living environments. This research used a qualitative approach, descriptive type research, purposive sampling strategy, and utilizing semi-structured interviews as the primary data collection method. A sample size of 50 women is targeted, with data saturation as the criterion for stopping data collection. Thematic analysis is used to analyze the interview transcripts. A critical analysis of the health effects of indoor air pollution on women is presented, encompassing consequences. The effects include exacerbation of respiratory conditions, allergies, eye and skin irritations. In conclusion, this research paper emphasizes the urgent need for a comprehensive understanding of the intricate relationship between indoor air pollution and women’s health. It underscores the importance of interdisciplinary collaboration among public health experts, environmental scientists, policymakers, and advocates to develop effective strategies that safeguard women’s well-being.

Review of The Financial Health of Bank During Increasing Foreclosed Assets and The Application of Analytic Hierarchy Process (AHP) in Selecting Strategies to Reduce Them

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PT Bank Laju International Tbk (the Bank) has struggled with its increased foreclosed assets, particularly those originating from mortgage loans, which could affect its financial health. The research assessed Bank’s financial health using Risk Based Bank Rating (RBBR) framework by analysing key financial ratios and investigating the root causes of rising foreclosed assets through Fishbone and Pareto analysis. Key factors include customer income instability, slow progress in selling foreclosed assets, and lack of insurance protection during economic downturns. To select effective strategies for managing foreclosed assets, the research utilized Analytic Hierarchy Process (AHP), a Multi-Criteria Decision-Making method, to evaluate multiple alternatives based on various criteria, which were derived from Focus Group Discussion (FGD) with Bank’s officers, who directly involved in mortgage loans and foreclosed assets activities, also reference with Bank’s SWOT analysis. The research evaluated three alternatives strategy:

  1. Protection Insurance for Customer’s Mortgage Loans.
  2. Actively Partnering with property agents to accelerate sale of foreclosed assets as-is.
  3. Collaborating with property agents to renovate foreclosed assets.

The result showed that despite the increase in foreclosed assets, the Bank remains financially sound, with key financial ratios within acceptable regulatory limits. AHP analysis revealed that alternative 1 stands in first place to be prioritized, followed by alternative 2, however between both alternatives indicates a very small difference in prioritization weight, which means that both strategies are important to be executed and prioritized. Proposal to implement both alternatives in parallel would be a very effective strategy, where alternative 1 conduct as Preventive Strategy in preventing customer’s mortgage loans defaults, while alternative 2 as Corrective Strategy in lowering foreclosed assets volume. Alternative 3 acts as a complement strategy, where renovating foreclosed assets could facilitate quicker sales, however it’ll take longer time for renovation itself.

A Simplified Dynamic Model of DFIG-based Wind Generation for Frequency Support Control Studies

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In recent years, wind generation has been fast growing and become one of the major generation resources in power systems. Since the wind generation does not inherently equip with frequency support functions, the power system frequency response degrades as the wind penetration increases. Therefore, frequency support control of wind generation has gained increasing focus. However, the dynamic models of wind generation systems, which are required by the control design and analysis, are commonly very complicated and difficult to obtain, especially for the doubly-fed induction generator based wind turbine (DFIG-WT). In this paper, the authors propose a simplified dynamic model for the DFIG-WT. The proposed analytical model is derived from the detailed model by selectively neglecting very fast dynamics while keeping the critical ones. It is suitable for frequency control studies. The model accuracy is first validated against the detailed DFIG-WT model in Simulink. Then, the wind frequency control function is studied based on the proposed model.

Exploring Hubris in Ozymandias: Mortality, Power, and the Passage of Time

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This study examines Percy Bysshe Shelley’s “Ozymandias” to identify examples of hubris and their wider contexts. Through an analysis of the narrative strategies Shelley used to highlight the topic and its consequences, the research seeks to pinpoint instances of hubris in the Ozymandias representation. The study also explores the relationships between hubris and more profound ideas like mortality, power, and the passage of time. Hubris is examined by the symbolic implications connected to the damaged statue and inscription. The investigation also looks at how Ozymandias’s conceit affects the poem’s overall meaning and moral lesson. The study uses literary analysis to improve our comprehension of Shelley’s examination of human pride and its effects in the literary classic “Ozymandias.”

Forecasting Cryptocurrency Markets: Predictive Modelling Using Statistical and Machine Learning Approaches

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The rapidly evolving landscape of cryptocurrency markets presents unique challenges and opportunities. The significant daily variations in cryptocurrency exchange rates lead to substantial risks associated with investments in crypto assets. This study aims to forecast the prices of cryptocurrencies using advanced machine learning models. Among seven models that were tested for their prediction and validation efficiency, Neutral Networks performed the best with minimum error. Thus, Long Short-Term Memory (LSTM) neural networks were used for predicting future trends. LSTM model is well-suited for analyzing complex dependencies in financial data. Starting with historical data collection, data preprocessing, feature engineering, normalization and integrative binning, a comprehensive Exploratory Data Analysis (EDA) was conducted on 50 cryptocurrencies. Top performers were identified based on criteria such as trading volume, market capitalization, and price trends. The LSTM model was implemented using Python to predict 90-day price movements data to check intricate patterns and relationships. Model performance was validated by performance metrics such as MAE and RMSE. The findings align with the Adaptive Market Hypothesis (AMH) which suggests that cryptocurrency markets exhibit dynamic efficiency influenced by evolving market conditions and investor behavior. The study shows the potential of machine learning models in financial economics and their role in enhancing risk management strategies and investment decision-making processes.

Empowering Financial and Digital Literacy to Build Resilience of MSMEs: Proposed Implementation in Bandung City

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This study investigates the factors that influence financial and digital literacy among MSMEs in Bandung. Through semi-structured interviews with 5 key stakeholders, including banks, the MSMEs Agency, entrepreneurs, business incubators, and Financial Services Authority (OJK), the research revealed significant gaps in financial literacy, particularly in financial management and reporting, which hinder MSMEs’ access to credit and growth. Many entrepreneurs rely on simple calculations and struggle to create accurate financial reports. Digital literacy challenges, such as limited adoption of digital technology and uneven internet access, also hinder MSMEs participation in the digital economy. Key barriers include difficulty changing financial habits, limited mentorship, and limited budgets to support the program. The study emphasises the importance of financial education, noting that businesses with large lines of credit often lack comprehensive financial literacy. Based on these findings, targeted interventions are proposed, including comprehensive financial education program and digital skills training. The study emphasised the need for collaboration between the government and financial institutions to improve financial inclusion and literacy. The study proposes a Digital Creative Academy that aims to improve the digital marketing capabilities of MSMEs, particularly in video content creation and live streaming on e-commerce platforms. The program targets 750 micro-entrepreneurs in 30 sub-districts, addressing the need for digital skills in a growing market. This research contributes to understanding the challenges of MSMEs development in Indonesia and offers practical recommendations for policymakers and educators to strengthen MSMEs resilience in the digital age.