bluuebunny/crossref_metadata_2025 huggingface dataset:
The Effects of Derivatives on Asset Price Volatility: A Study on the Options Trading in the USA and UK
Authors: Latif Saba , Adeel Raima , Ali Syed Adnan , Faheem Ullah Muhammad
Published: August 2024

The impact of options trading on underlying asset prices in the United States and United Kingdom markets from 2010 to 2024 is the focus of this study. A multivariate GARCH model and Granger causality tests were used to analyze the relationship between options trading volume and price volatility of the underlying assets. Results indicated a significant bidirectional relationship between options trading activity and asset price volatility, with increased options volume generally associated with higher short-term price fluctuations. The comparison between the USA and UK markets provides valuable insights into how different regulatory environments and market structures may impact the relationship between derivatives and asset prices. However, the long-term impact on price efficiency across various market segments showed mixed results. This research paper provides regulatory policies regarding the role of derivatives in financial markets that policymakers in the USA and the UK should implement. The findings could have implications for risk management practices, market stability, and the design of financial instruments.
Pengembangan Modul Biologi Berbasis Praktikum Pada Materi Keanekaragaman Hayati Kelas X Di SMA Tahfiz Al Batthawi Kerongkong
Authors: Ahmad Fadli  , Siti Wardatul Jannah  , Nening Listari
Published: August 2024

This study aims to develop a practicum based biology module  for class X SMA Tahfiz Al-Batthawi NWDI Kerongkong. In this development research refers to the ADDIE development model which is carried out through five stages, namely analysis, design, development, implementation, and evaluation. The product developed was validated and assessed by 1 material expert and 1 media expert. The limited trial in this study was given to 15 students of class X. The instruments in this study were a check list questionnaire and evaluation questions. Data analysis was carried out by scoring using a Likert scale, then calculating the average of each aspect. The results of the assessment of material experts are 85% and the results of the assessment of media experts are 93%. While the results of the student response questionnaire in the very feasible category, namely 85%. Thus, this module is suitable to be used as a teaching material in the biology learning process.
Peran Dinas Sosial Kota Surabaya Dalam Meningkatkan Kesejahteraan Penyandang Disabilitas Melalui Pelayanan Penyaluran Alat Bantu Disabilitas
Authors: Rianissaputri Rianissaputri  , Dida Rahmadanik
Published: August 2024

The Surabaya City Government is part of the Regional Government is obliged to carry out government affairs related to basic services, including in the social sector carried out by the Social Service. The purpose of this study is to find out more about one of the services owned by the Surabaya City Social Office in the welfare of people with disabilities, namely the distribution of disability aids which are distributed free of charge and directly delivered to the homes of beneficiaries. The research method used in this study is qualitative which is carried out by literature studies based on applicable laws and regulations and interviews with Social Service employees which aim to understand more deeply about the topics in this study so that the author can present accurate data. The hope of this service is that it can provide convenience and comfort of service to the people of Surabaya in receiving assistance because it is delivered directly by officers from the Social Service.
PKM Pendampingan Pembuatan BIBIGOR (Biskuit Bihun Goreng)
Authors: Ratnah S  , Nur Arisah  , Mustari Mustari  , Nahriana Nahriana  , Sitti Hajerah Hasyim
Published: August 2024

One of the activities that can add to the entrepreneurial spirit for the community is the home industry business or so-called home business in the manufacture of BIBIGOR (Biskuit Bihun Goreng). Bibigor is a new form of innovation in the field of food industry. The basic ingredient of Bibigor is biscuit. Biscuits are usually consumed unprocessed, but can now be innovated into a biscuit that is more interesting and with a new flavor. This innovation is done because in the community there are many different types of biscuits, but with the same variants and flavors and with less attractive shapes. Bibigor is a food based on Pyramid biscuits wrapped in sugar and vermicelli that has been fried. The methods used in this activity include lectures, question and answer or discussion, and training. The results obtained are (1) training on making BIBIGOR (Biskuit Bihun Goreng) responded well by the participants; (2) the high interest and motivation of the trainees greatly support the transfer of knowledge and skills from the service to the trainees, so that the training materials provided can be absorbed by all; and (3) the training products for making BIBIGOR (Biskuit Bihun Goreng) can be consumed daily and can be used as entrepreneurial products
Activity budget and habitat use in the Nicobar long-tailed macaque Macaca fascicularis umbrosus
Authors: Velankar Avadhoot D. , Kumara Honnavalli N. , Sheethal Vepur Ramamurthy , Pal Arijit , Mishra Partha Sarathi , Singh Mewa
Published: August 2024

Time-activity budget and pattern of habitat use are basic tools to understand an animal’s interaction with its environment. We studied a primarily commensal group of long-tailed macaques (Macaca fascicularis umbrosus) with 22 individuals in the Great Nicobar Island of India at Campbell Bay. Data on the frequency and duration of different activities were collected through scan sampling and ad libitum notes. We recorded the geo-coordinates of the visually approximated group center using a handheld GPS receiver (Garmin GPS Map 76csx) every 30 min to assess the ranging patterns. The group spent more time resting, followed by feeding, social behaviours, movement, foraging, and scouting. The time spent on various activities did not vary at different times of the day and showed no seasonal variations. The macaques fed mostly on the cultivated fruits. Although the total home range size was 66ha, the most frequently used area was only 6 ha. The macaques ranged over a larger area in the dry season than in the wet season. All these patterns show that the behaviour of the study group was typical of that of the commensal macaques of other species.
NALAR KRITIS HUKUM ISLAM TERHADAP RESPON MODERNITAS
Authors: Supneo Edy Imam , Ansari Ansari
Published: August 2024

Islamic law will still be able to respond to new issues arising, as a consequence of the advancement of science and technology. In the Treasures of Islamic Sciences, Fiqh (Islamic law) is one of the classical disciplines that are always loaded with interesting discourse, the natural character of the Islamic law as part of the Islamic Shari'a and permanent (qath'i) and must be received "taken for granted" on one side and his position as a product of Ijtihadi which is often produced from the relatively Islamic sources (Zhanny) on the other hand makes Islamic law has a different face. In other words, Islamic law is often identical to the number of rules and doctrines of Islam on some daily issues of Islamic Ummah which is static and raw. Among the emerging laws of the world are laws that are based on religious norms. Because religion always strengthens and closely interwoven with the state of Islamic law is one of the religious norms that exist in the world of Islamic law is universal, because it bases its various conditions based on Maqashid al-Syari'ah, namely Hifzhu al-Din, Al-Nafs, Al-Aqli, Al-Nasi, an al-Amal, which are all closely related to human life, both in ancient and modern times. Besides, Islamic law prioritizes the principles of truth, fairness, equality, and responsibility.
Pengaruh Label Halal, Citra Merek dan Kualitas Produk Terhadap Loyalitas Pelanggan Mie-Sedap pada Konsumen Toko Basmalah Cabang Muncar
Authors: Samsuri Samsuri
Published: August 2024

This study aims to determine whether there is an influence of the halal label variable, brand image and product quality on customer loyalty of the Sedaap brand instant noodles on consumers of Basmalah Stores, Muncar Branch. This study used a quantitative approach with data collection techniques through questionnaires with a Likert scale. This study used 60 consumers of Muncar Branch Basmalah Shop consumers with a purposive sampling technique. Regression analysis results can be seen that the halal label variable, brand image and product quality simultaneously affect customer loyalty 80.6%, and the remaining 19.4% (100% - 80.6%) is influenced by other variables outside the model. Thus it can be concluded that there is an influence of the halal label, brand image and product quality on customer loyalty of the Sedaap brand instant noodles on consumers of Muncar Branch Basmalah Stores.
PENGARUH BOPO DAN CAR TERHADAP FDR BANK UMUM SYARIAH (BUS) TAHUN 2019-2020
Authors: Bela Icha Salfa , Putri Indah Delima , Annisa Khoiriyatus , Hanifah Khusna krisdian
Published: August 2024

This study aims to analyze whether the Operational Burden on National Income and the Capital Adequacy Ratio have an impact on the Financing to Deposit Ratio. In this study, the researchers defined the title to find out how BOPO and CAR influenced FDR, and whether low BOPOs and high CAR could influence the FDR ratio.  This research was done at the Sharia General Bank. This study is a quantitative study with the method of analysis used is Error Correction Model (ECM). The total sample used in this study is 36 data which are monthly data published by the Otoritas Jasa Keuangan (OJK) from 2019 to 2022. The results of this study show that BOPO in the long and short term has no significant negative effects on FDR and CAR in the short term does not have a significant negative effect. In the long term, it has a significant negative impact on the Financing to Deposit Ratio (FDR) of the Shariah General Bank in Indonesia. It can then be concluded that only in the short term CAR can affect FDR, whereas BOPO has no significant negative effects in the long term or in short term.
 
 
Abstrak
 
Peneltian ini bertujuan untuk menganalisis apakah Beban Operasional terhadap Pendapatan Nasional dan Capital Adequacy Ratio berpengaruh terhadap Financing to Deposit Ratio. Dalam penelitian ini peneliti menentukan judul untuk mengetahui seberapa berpengaruhnya BOPO dan CAR terhadap FDR, dikrenakan apakah dengan rendahnya BOPO dan tingginya CAR dapat mempengaruhi rasio FDR.  Penelitian ini dilakukan pada Bank Umum Syariah. Penelitian ini merupakan penelitian kuantitatif dengan metode analisis yang digunakan adalah Error Correction Model (ECM). Jumlah sampel yang digunakan dalam penelitian ini adalah 36 data yang merupakan data bulanan yang diterbitkan oleh Otoritas Jasa Keuangan (OJK) dari tahun 2019 hingga tahun 2022. Hasil penelitian ini BOPO dalam jangka panjang dan jangka pendek memiliki pengaruh negative tidak signifikan terhadap FDR. Dan CAR dalam jangka pendek memiliki pengaruh negative tidak signifikan. Sedangkan, pada jangka panjang memiliki pengaruh negative signifikan terhadap Financing to Deposit Ratio (FDR) pada Bank Umum Syariah di Indonesia. Maka dapat ditarik kesimpulan hanya pada jangka pendek CAR dapat mempengaruhi FDR, sedangkan BOPO memiliki pengaruh negative tidak signifikan pada jangka panjang maupun pendek.
Firearm availability and sex-specific mortality rates in Europe
Authors:   University of the People Pasadena, United States, GREGORY Peter
Published: August 2024

Compared to the number of studies focusing on the United States, studies of gun violence in Europe are relatively few in number. Those studies that do touch on Europe have generally failed to exclusively utilize European data and to incorporate data from all possible countries across the continent. Studies in Europe have also tended to examine only aggregated outcomes, thereby failing to account for possible differences in how gun violence affects different groups. This study begins the process of filling these gaps by utilizing OLS regression and a cross-section of data from 40 European countries to determine how firearm availability across Europe affects mortality rates among men and women. Results indicate that firearm availability is positively associated with multiple measures of mortality among European men and women. Policymakers seeking to prevent violence in their respective countries should view the prevention of gun violence and the regulation of civilian-owned firearms as key priorities.
Police and governance for sustainable development in Nigeria
Authors:   Department of Public Administration  Olabisi Onabanjo University Ago-Iwoye, Nigeria, OIKHALA Gabriel Izokpu
Published: August 2024

Exercising political power to utilise nation’s resources for citizens’ progress for better tomorrow is often constrained in atmosphere of insecurity. This makes security, law enforcement and order inevitable function of police across the world. In Nigeria today, combating insecurity has been difficult for the police. So, people are no longer free to lawfully move around to look for what to eat including worship places for fear of being bombed, killed, or kidnapped. Unfortunately, the Islamic States of West African Province has joined Boko Haram, herdsmen, and other bandits in making Nigeria more unsafe. The paper investigated the performance and challenges of police towards achieving governance for sustainable development in Nigeria. Data were sourced from textbooks, journals, newspapers, conferences, and magazines. Descriptive method was used to analyse the data. Using the Frustration-Aggression theory as theoretical framework, the police were identified as governance work in progress in ensuring sustainable development. The paper found police performance unimpressive and identified poor political leadership and followership, disrespect to law, poor Nigerian characters, deprivation of people basic socio-economic needs unhealthy struggles for survival, pervasive level of poverty and unemployment as major issues challenging police performance. The paper concluded that police non-performance in Nigeria reflected the characters of political leaders. It recommended among others that there should be ethical rebirth and self cleansing for political leaders, police and other Nigerians to rejuvenate police performance to enhance governance for progress of present and future Nigeria.
THE IMPACT OF ECOLOGY ON THE ENVIRONMENT IN A GLOBALIZED WORLD
Authors: Həmidova Zərifə
Published: August 2024

Plant ecology, soil ecology, geographical ecology, animal ecology, ecology of microorganisms, ecology of waters, seas, ecology of the atmosphere, hydrosphere, agriculture, ecology of industry, transport, cities, ecological biology, geochemical ecology, cultural ecology, social ecology and its branch, human ecology, space ecology. Therefore, during the last 30-40 years, ecology has become a popular applied science field, not only among biological sciences, but also among all natural, social and economic sciences.
Optimal Design Approaches for Cost-Effective Manufacturing and Deployment of Chemical Process Families with Economies of Numbers
Authors: Stinchfield Georgia , Jan Sherzoy , Morgan Joshua C. , Zamarripa Miguel , Laird Carl D.
Published: August 2024

Developing methods for rapid, large-scale deployment of carbon capture systems is critical for meeting climate change goals. Optimization-based decisions can be employed at the design and manufacturing phases to minimize the costs of deployment and operation. Manufacturing standardization results in significant cost savings due to economies of numbers. Building on previous work, we present a process family design approach to design a set of carbon capture systems while explicitly including economies of numbers savings within the formulation. Our formulation optimizes both the number and characteristics of the common components in the platform and simultaneously designs the resulting set of carbon capture systems. Savings from economies of numbers are explicitly included in the formulation to determine the number of components in the platform. We show and discuss the savings we gain from economies of numbers.
Optimization of Retrofit Decarbonization in Oil Refineries
Authors: Chattopadhyay Sampriti , Gandhi Rahul , Grossmann Ignacio E. , Torres. Ana I.
Published: August 2024

The chemical industry is actively pursuing energy transition and decarbonization through renewables and other decarbonization initiatives. However, navigating this transition is challenging due to uncertainties in capital investments, electricity costs, and carbon taxes. Adapting to decarbonization standards while preserving existing valuable infrastructure presents a dilemma. Early transitions may lead to inefficiencies, while delays increase the carbon footprint. This research proposes a framework to find an optimal retrofit decarbonization strategy for existing oil refineries. We start with a generic process flowsheet representing the refinery's current configuration and operations, and consider various decarbonization alternatives. Through superstructure optimization, we identify the most cost-effective retrofit strategy over the next three decades to achieve decarbonization goals. We develop a Mixed-Integer Linear Programming (MILP) model, integrating simplified process equations and logical constraints to identify the most economical retrofit decarbonization strategy. The paper presents numerical results from the MILP model. Furthermore, the trends exhibited by the outcomes across various scenarios considering distinct electricity costs and carbon tax levels are presented. These results provide valuable insights into the economic feasibility of retrofit electrification strategies for decision-makers in the chemical industry.
From Then to Now and Beyond: Exploring How Machine Learning Shapes Process Design Problems
Authors: Beykal Burcu
Published: August 2024

Following the discovery of the least squares method in 1805 by Legendre and later in 1809 by Gauss, surrogate modeling and machine learning have come a long way. From identifying patterns and trends in process data to predictive modeling, optimization, fault detection, reaction network discovery, and process operations, machine learning became an integral part of all aspects of process design and process systems engineering. This is enabled, at the same time necessitated, by the vast amounts of data that are readily available from processes, increased digitalization, automation, increasing computation power, and simulation software that can model complex phenomena that span over several temporal and spatial scales. Although this paper is not a comprehensive review, it gives an overview of the recent history of machine learning models that we use every day and how they shaped process design problems from the recent advances to the exploration of their prospects.
Environmental Impact of Simulated Moving Bed (SMB) on the Recovery of 2,3-Butanediol on an Integrated Biorefinery
Authors: Avendano Marco E. , Lao Jianpei , Fu Qiang , Nair Sankar , Realff Matthew J.
Published: August 2024

2,3 butanediol (BDO) has garnered recent interest due to the high titer concentrations that can be obtained through biochemical routes and its potential for efficient conversion into long-chain hydrocarbons. BDO separation, however, is challenging given its low volatility and high affinity towards water. In this study, two BDO separation pathways were compared, single distillation and combined simulated moving bed (SMB) adsorption with distillation. The separations were incorporated into a 2018 biorefinery design developed by the National Renewable Energy Laboratory (NREL) to produce renewable fuels from corn stover, with BDO as an intermediate and adipic acid as the co-product. The comparison was performed on the basis of sustainability, using lifecycle greenhouse gas (GHG) emissions as the metric. It was found that using a single distillation column gives GHG emissions of 48 gCO2e/MJ for the renewable fuel. This is lower than 93 gCO2e/MJ for petroleum fuel but is higher compared to the SMB-based process which achieves 21 gCO2e/MJ. Additionally, the minimum fuel selling price (MFSP) of each pathway was computed. Single distillation gave a minimum MFSP of $2.54/GGE (gallon of gasoline equivalent) of fuel, while SMB reached $2.45/GGE. The SMB�s MFSP is lower than the Department of Energy�s (DOE) target of $2.50/GGE, demonstrating this pathway is both an economic and sustainable alternative and a sound separation candidate that can enable the viability of the entire biorefinery. The effect of BDO fermentation titer was also considered through a sensitivity analysis.
Process and Network Design for Sustainable Hydrogen Economy
Authors: Kazi Monzure-Khoda , Gandhi Akhilesh , Hasan M.M. Faruque
Published: August 2024

This study presents a comprehensive approach to optimizing hydrogen supply chain network (HSCN), focusing initially on Texas, with potential scalability to national and global regions. Utilizing mixed-integer nonlinear programming (MINLP), the research decomposes into two distinct modeling stages: broad supply chain modeling and detailed hub-specific analysis. The first stage identifies optimal hydrogen hub locations, considering county-level hydrogen demand, renewable energy availability, and grid capacity. It determines the number and placement of hubs, county participation within these hubs, and the optimal sites for hydrogen production plants. The second stage delves into each selected hub, analyzing energy mixes under variable solar, wind, and grid profiles, sizing specific production and storage facilities, and scheduling to match energy availability. Iterative refinement incorporates detailed insights back into the broader model, updating costs and configurations to converge upon an optimal supply chain design. This design encapsulates macro-level network configurations, including centralization versus decentralization strategies, transportation cost analysis, and carbon footprint assessment, as well as micro-level operational specifics like renewable energy contributions, facility scale, and energy portfolio management. The methodology's robustness allows for strategic insights into hydrogen production facility siting, aligning with local energy resources and supply chain economics. This adaptable, multi-scale approach contributes to informed decision-making in the evolution of sustainable hydrogen-based energy systems, offering a roadmap for policy reforms and strategic supply chain development in diverse energy landscapes.
A Study on Accelerated Convergence of Cyclic Steady State in Adsorption Process Simulations
Authors: Subraveti Sai Gokul , Karimi Kian , Gazzani Matteo , Anantharaman Rahul
Published: August 2024

Cyclic adsorption processes attain a cyclic-steady state (CSS) condition by undergoing repeated cycles in time, owing to their transient and modular nature. Mathematically, solving a set of underlying nonlinear partial differential equations iteratively for different steps in a cycle until the CSS condition is attained presents a computational challenge, making the simulation and optimization of cyclic adsorption processes time-consuming. This paper focuses on expediting the CSS convergence in adsorption process simulations by implementing two vector-based acceleration methods that offer quadratic convergence akin to Newton�s methods. These methods are straightforward to implement, requiring no prior knowledge of the first derivatives (or Jacobian). The study demonstrates the efficacy of accelerated convergence by considering two adsorption processes that exhibit complex dynamics, namely, a four-step vacuum swing adsorption and a six-step temperature swing adsorption cycles for post-combustion CO2 capture. The case studies showcase the potential for improved computational efficiency in adsorption process simulations.
Machine Learning Methods for the Forecasting of Environmental Impacts in Early-stage Process Design
Authors: Aboagye Emmanuel A. , Lehr Austin L. , Shumaker Ethan , Longo Jared , Pazik John , Hesketh Robert P. , Yenkie Kirti M.
Published: August 2024

Initial design stages are inherently complex and often lack comprehensive information, posing challenges in evaluating sustainability metrics. Machine Learning (ML) emerges as a valuable solution to address these challenges. ML algorithms, particularly effective in predicting environmental impacts of new chemicals with limited data, enable more informed decisions in sustainable design. This study focuses on employing ML for predicting the environmental impacts related to human health, ecosystem quality, climate change, and resource utilization to aid in early-stage environmental impact assessment of chemical processes. The effectiveness of the ML algorithm, eXtreme Gradient Boosting (XGBoost) tested using a dataset of 350 points, divided into training, testing, and validation sets. The study also includes a practical application of the model in a cradle-to-cradle LCA of N-Methylpyrrolidone (NMP), demonstrating its utility in sustainable chemical process design. This approach signifies a significant advancement in the early stages of process design, highlighting the potential of ML in enhancing environmental sustainability in the chemical industry.
Optimal Transition of Ammonia Supply Chain Networks via Stochastic Programming
Authors: Mitrai Ilias , Palys Matthew J. , Daoutidis Prodromos
Published: August 2024

This paper considers the optimal incorporation of renewable ammonia production facilities into existing supply chain networks which import ammonia from conventional producers while accounting for uncertainty in this conventional ammonia price. We model the supply chain transition problem as a two-stage stochastic optimization problem which is formulated as a Mixed Integer Linear Programming problem. We apply the proposed approach to a case study on Minnesota's ammonia supply chain. We find that accounting for conventional price uncertainty leads to earlier incorporation of in-state renewable production sites in the supply chain network and a reduction in the quantity and cost of conventional ammonia imported over the supply chain transition horizon. These results show that local renewable ammonia production can act as a hedge against the volatility of the conventional ammonia market.
Optimal Design of Food Packaging Considering Waste Management Technologies to Achieve Circular Economy
Authors: Munoz-Briones Paola A. , Mungu�a-L�pez Aurora del C. , S�nchez-Rivera Kevin L. , Zavala Victor M. , Huber George W. , Avraamidou Styliani
Published: August 2024

Plastic packaging plays a fundamental role in the food industry, avoiding food waste and facilitating food access. The increasing plastic production and the lack of appropriate plastic waste management technologies represent a threat to the environmental and human welfare. Therefore, there is an urgent need to identify sustainable packaging solutions. Circular economy (CE) promotes reducing waste and increasing recycling practices to achieve sustainability. In this work, we propose a CE framework based on multi-objective optimization, considering both economic and environmental impacts, to identify optimal packaging designs and waste management technologies. Using mixed-integer linear programming (MILP), techno-economic analysis (TEA), and life cycle assessment (LCA), this work aims to build the first steps in packaging design, informing about the best packaging alternatives and the optimal technology or technologies to process packaging waste. For the economic analysis, we consider the minimum increase in price (MIP) when adding recycling to the cost of each packaging solution, while for the environmental analysis, the greenhouse gas emissions impact was considered. A case study on ground coffee packaging is used to illustrate the proposed framework. The results demonstrate that the multilayer bag option is the most convenient when considering both the chosen economic and environmental impacts.
Integrated Temporal Planning for Design and Operation of the International Green Ammonia Supply Chain
Authors: Kim Sunwoo , Park Joungho , Lee Jay H.
Published: August 2024

This research is dedicated to designing and economically evaluating the green ammonia supply chain, considering the fluctuating nature of renewable energy sources and energy demand across both hourly and seasonal variations. It also explores the impact of economies of scale and the delays associated with long-distance shipping to meet energy demands in a timely manner. These considerations require the formulation of a Mixed-Integer Nonlinear Programming model, further complicated by the necessity for a two-stage stochastic programming approach. We introduce a hierarchical optimization framework that utilizes a decomposition method to differentiate between one-time design decisions and subsequent operational choices. At the upper level, potential design solutions are identified through the Bayesian Optimization and Hyperband algorithm, which effectively navigates the non-linear challenges posed by economies of scale. The lower level then addresses a Mixed-Integer Linear Programming problem to independently assess the feasibility of each scenario. Our empirical analysis includes case studies of three potential international routes for transporting green ammonia to Korea. We contrasted our methodology with a hypothetical scenario that presupposes a constant supply of power and a stable demand for energy. Additionally, techno-economic analyses were conducted to evaluate the implications of the minimum operational limits for electrolyzers.
Process Design for the Energy Transition: An Industrial Perspective
Authors: Ghouse Jaffer H.
Published: August 2024

The United States� Inflation Reduction Act (IRA) of 2022 has established incentives to facilitate the energy transition. While these policies provide economic incen-tives that encourage investment and may reduce financial risk for the private sector on the supply side, transitioning to a lower carbon or net-zero economy by 2050 presents several challenges. These include designing flexible production systems that can interact with inter-mittent renewable energy resources, ensure process safety, redesigning existing energy infrastructure to support new energy carriers like hydrogen or ammonia, and making long-term investment decisions in an uncertain and evolving market... (ABSTRACT ABBREVIATED)
Conceptual Design of Integrated Energy Systems with Market Interaction Surrogate Models
Authors: Chen Xinhe , Tumbalam-Gooty Radhakrishna , Guittet Darice , Knueven Bernard , Siirola John D. , Dowling Alexander W.
Published: August 2024

Most integrated energy system (IES) optimization frameworks employ the price-taker approximation, which ignores important interactions with the market and can result in overestimated economic values. In this work, we propose a machine learning surrogate-assisted optimization framework to quantify IES/market interactions and thus go beyond price-taker. We use time series clustering to generate representative IES operation profiles for the optimization problem and use machine learning surrogate models to predict the IES/market interaction. We quantify the accuracy of the time series clustering and surrogate models in a case study to optimally retrofit a nuclear power plant with a polymer electrolyte membrane electrolyzer to co-produce electricity and hydrogen.
Forces Shaping the Future of Design and Design Education
Authors: Siirola Jeffrey J
Published: August 2024

All ABET-accredited engineering programs mandate a culminating major design experience based on knowledge and skills acquired in earlier course work and incorporating realistic appropriate engineering standards and multiple realistic constraints. Some chemical companies organize their Manufacturing Innovation Process into a sequence of stages which typically include Need Identification, Product Design, Basic and Detailed Chemistry, Process Design, Equipment Design, Plant Design, Detailed Engineering and Vendor Specifications, Component Acquisition, Plant Construction Planning and Execution, Operating Procedure Development, Plant Commissioning and Start-up, and Production Planning, Scheduling, and Operation. Each of these stages involve the solution of many "design" problems that could be the subject of the culminating undergraduate chemical engineering design experience... (ABSTRACT ABBREVIATED)
Towards Energy and Material Transition Integration � A Systematic Multi-scale Modeling and Optimization Framework
Authors: Kakodkar Rahul , Flores Betsie Montano , Sousa Marco De , Lin Yilun , Pistikopoulos Efstratios N.
Published: August 2024

The energy transition is driven both by the motivation to decarbonize as well as the decrease in cost of low carbon technology. Net-carbon neutrality over the lifetime of technology use can neither be quantitatively assessed nor realized without accounting for the flows of carbon comprehensively from cradle to grave. Sources of emission are disparate with contributions from resource procurement, process establishment and function, and material refining. The synergies between the constituent value chains are especially apparent in the mobility transition which involves (i) power generation, storage and dispatch, (ii) synthesis of polymeric materials, (iii) manufacturing of vehicles and establishment of infrastructure. Decision-making frameworks that can coordinate these aspects and provide cooperative sustainable solutions are needed. To this end, we present a multiscale modeling and optimization framework for the simultaneous resolution of the material and energy value chains. A case study focusing on the transition of mobility technology towards electric vehicles in Texas is presented. The key contributions of the proposed framework are (i) integrated network design and operational scheduling, (ii) the tracking of disparate emissions, (ii) simultaneous modeling of the material and energy supply chains, (iv) implementation on energiapy, a python package for the multiscale modeling and optimization of energy systems.
From Process to Systems Design: A Perspective on the Future of Design Education
Authors: Zavala Victor M.
Published: August 2024

Chemical engineers are natural �systems-thinkers�; this is a skill that allows us to analyze highly complex processes that involve heterogeneous components, phenomena, and scales. Systems-thinking skills are fostered in the chemical engineering curriculum via integrative and project-based courses, such as process/product design and laboratories. However, existing curricula tends to focus scope to product/process boundaries, offering limited opportunities to capture connections to behavior occurring at small scales (e.g., atomistic and molecular) and at large scales (e.g., supply chains, policy, markets, and infrastructures). This limit in scope can hinder our ability to appreciate how products/processes that we develop impact society, markets, and the environment (e.g., the opioid addiction crisis, environmental impacts of forever chemicals and chemical fertilizers, and electricity markets). This limit in scope can also hinder our ability to appreciate how emerging tools from the molecular sciences can help us design better products/processes. Expanding the boundaries of our thinking is essential in overcoming these limitations. In this perspective, I discuss how emerging concepts and technologies from machine learning, data science, environmental sciences, molecular simulations, and mathematics provide powerful tools to help foster systems-thinking over a broad set of scales and to help establish connections with non-traditional disciplines (e.g., social sciences). In addition, I discuss the need to create new conceptual frameworks, case studies, and software that can help foster systems-thinking.
Implementasi Manajemen Pelayanan Prima Di Sekolah Menengah Atas Negeri (SMAN) Pakusari
Authors: Aprilyani Intan , Fitriani Laili , Wahyuni Sri
Published: August 2024

Tujuan penelitian ini untuk mengetahui standar operasional prosedur (SOP) pelayanan prima. Selain itu, untuk mengetahui pelaksanaan pelayanan prima dan untuk mengetahui faktor pendukung dan penghambat pelayanan prima di SMAN Pakusari. Metode penelitian yang digunakan yaitu kualitatif deskriptif dengan teknik pengumpulan data melalui observasi, wawancara dan dokumentasi. Subjek dalam penelitian adalah Kepala Sekolah, Kepala Tata Usaha dan Pegawai Tata Usaha. Hasil Penelitian yaitu: (1) pihak sekolah menggunakan Standar Operasional Prosedur (SOP) pelayanan sebagai rujukan dan meminimalisir kesalahan dalam mengambil keputusan; (2) dalam pelaksanaan memberikan pelayanan yang religius dan kekeluargaan kepada guru, siswa dan para stakeholder yang ada di internal sekolah. Pihak sekolah juga memberikan reward and punishment kepada pegawai untuk menciptakan iklim organisasi yang bergairah. Para pegawai memberikan sikap sepenuh hati dan loyalitas yang tinggi dalam melayani pelanggan; (3) faktor pendukung pelayanan prima di sekolah yaitu terpenuhinya kelengkapan sarana dan prasarana, memiliki pegawai tata usaha yang cukup dan faktor penghambat pelayanan prima di sekolah ini yaitu kurangnya pelatihan atau pendidikan karir terhadap pegawai.
Digital Case Database Construction and Case Teaching for the Course of Modern Testing Technology of Materials
Authors: Fang De , Wang Jiayuan , Jing Tao , Gao Tianyi , Lv Caihong
Published: August 2024

The course of modern testing technology of materials has the properties of strong
comprehensive nature and practical characteristic. Case database construction and case teaching
play significant roles in enhancing the teaching quality and effects of the course for teachers and
students. Based on the methods and techniques for measuring materials, this course designs basic
theoretical cases, enterprise production cases, laboratory ability verification project cases and
cutting-edge cases of joint use technology, and introduces them into the classroom for
implementation, and the related cases are collected to build the digital case database. On the one
hand, based on the digital case database, the implementation of case teaching of this course
overcomes the difficulty that the teaching content is relatively independent and the students are
difficult to compare and analyze the similar methods and techniques for measuring materials,
making the students’ theoretical foundation more solid. On the other hand, based on the digital case
database, the case teaching makes a comprehensive analysis of practical problems in production
practice, stimulates students’ creativity and interest, and encourages students to provide solutions
for the development or improvement of testing means, thus improving the quality of courses and the
effectiveness of education. According to the survey, more students were satisfied with case
teaching for the course of modern testing technology of materials and their test scores had been
significantly improved. Furthermore, the digital case database broaden the channels and ways for
students to study the course, and help students realize the new learning mode of learning at any
time, flexible learning and long-term learning.
E-Commerce Delivery Optimization with Bicycle Deliveryman and Dual Autonomous Robots
Authors: Kang Wenxuan , Wang Li , Tang Yuxiang , Liu Wenchao
Published: August 2024

The rapid growth of e-commerce has led to a surge in package deliveries, particularly
during promotional events, resulting in increased workload for deliveryman. To address this
challenge, this paper explores traveling salesman problem with bike and two autonomous delivery
robots-referred to as 2TSPBR. The robots, each with three different-sized cargo compartments, are
responsible for delivering packages of varying sizes. When their inventory is low, they restock from
the bicycle’s service points. The Variable Neighborhood Search (VNS) algorithm is employed to
generate and optimize delivery routes for the bicycle and robots. The results indicate that the VNS
algorithm significantly outperforms the CPLEX solver in terms of computational time, providing rapid
convergence to near-optimal solutions. This study demonstrates the efficiency and effectiveness of
the proposed VNS algorithm in delivering accurate solutions for the integrated delivery system.
Transmigrasi Masyarakat Bali di Rama Dewa Tahun 1956
Authors: Azahra Fauzia , Karsiwan Karsiwan
Published: August 2024

Lampung Province is one of the provinces in Indonesia that is the destination of transmigration, as well as a province inhabited by various tribes, one of which is Bali. This research uses qualitative approach method. This method uses data collection techniques that use 3 methods, namely observation, interviews, and documentation. The result of this study is that economic and demographic conditions became the driving factors that influenced the holding of the transmigration program of the Balinese people to Lampung in 1956.  This transmigration process took place in Rama Dewa, Seputih Raman District. This was shown by the construction of the Transmigration Memorial monument of the Balinese people who came to Rama Dewa Village in 1956. The transmigration program is said to have been successfully motivated by findings that mentioned the success of the Balinese people in building life in Lampung since they first arrived in Lampung.
Conjuntivite neonatal e infecções sistêmicas: Diagnóstico e manejo clínico
Authors: Oliveira Paes Landim Pacheco Luyla , Vanessa Cordeiro Silveira  , Luiz de Sousa Guimarães Neto  , Lucas Casimiro Barreto  , João de Brito Raposo Neto  , Luciana Núbia Alvim de Oliveira  , Matheus Neves Araújo  , Isabele Arruda de Oliveira  , Denise Francisca dos Santos  , Felipe Castelo Branco Rocha Silva  , Filipe Martins dos Santos  , Priscilla Estephane da Costa Carvalho  , Diego Araújo Diniz  , Gabriel Costa Falcão de Macedo  , Hanna Michelle Melo Garcia  , Danielle Brena Dantas Targino  , José Abdalla Neto
Published: August 2024

A conjuntivite neonatal é uma condição ocular comum em recém-nascidos, causada por agentes infecciosos e não infecciosos. O presente estudo tem como objetivo analisar o diagnóstico e manejo clínico da conjuntivite neonatal, com base em uma revisão sistemática de artigos publicados no recorte temporal de 2015 a 2024 nas bases de dados PubMed, MEDLINE, Cochrane Library e EMBASE. Os resultados mostram que a profilaxia com pomada antibiótica é eficaz na prevenção de infecções gonocócicas, mas não aborda todas as causas da conjuntivite neonatal. Tratamentos com eritromicina para infecção por Chlamydia trachomatis foram altamente eficazes, enquanto a azitromicina apresentou resultados variáveis, com melhores taxas de cura em regimes prolongados. A análise também revelou uma taxa semelhante de infecção bacteriana em neonatos e crianças menores de cinco anos, com uma ligeira prevalência maior em meninos. A combinação de terapias, como a imunoterapia, tem mostrado melhorar os desfechos clínicos, sugerindo que abordagens multidisciplinares podem ser vantajosas. Contudo, a baixa qualidade dos estudos e a falta de padronização nos protocolos de tratamento destacam a necessidade de mais pesquisas rigorosas. Conclui-se que, apesar dos avanços no tratamento da conjuntivite neonatal, é essencial basear a prática em dados robustos e individualizar o manejo para otimizar os resultados e reduzir complicações.
Leucemia linfoblástica aguda em pacientes pediátricos
Authors: Rafaela Pascoal Di Lollo  , Luana Vasconcellos Mendonça Schiphorst  , Mariana Abrantes Maciel Bonifácio  , Gabriel Dutra Ramos  , Natacha da Silva Estevão Cáceres Marques  , Cândida Lisiê Fernandes Cosme Macedo  , Caterine da Silva Santos  , Mariana Nogueira de Lorena e Sá  , Adalzira Andreina Cavalcanti de Miranda Coelho  , Pedro Henrique Barroso Aguiar  , Dyago Silva Santos  , Joyce Pereira Arantes  , Gustavo Agassi Picolo  , Thais de Carvalho Pereira Vaz  , Jaqueline Giselle Farias Fernandes
Published: August 2024

A leucemia linfoblástica aguda (LLA) é uma neoplasia hematológica que afeta predominantemente crianças e é caracterizada pela proliferação descontrolada de linfoblastos na medula óssea e sangue periférico. Este estudo teve como objetivo revisar as abordagens mais recentes para o diagnóstico e tratamento da LLA em pacientes pediátricos. Utilizamos uma revisão integrativa das bases de dados Scientific Electronic Library Online (SCIELO) e Literatura Latino-Americana e do Caribe em Ciências da Saúde (LILACS), com descritores como “leucemia linfoblástica aguda”, “tratamento pediátrico” e “diagnóstico precoce”. Os resultados indicam avanços significativos na terapia, incluindo a utilização de terapias direcionadas e novas combinações de quimioterapia. Concluímos que o tratamento da LLA pediátrica tem melhorado com novas abordagens, mas continua a exigir monitoramento rigoroso e ajustes individuais para otimizar os resultados.
A Importância da Equipe multidisciplinar no prognóstico de pacientes transplantados: Uma Revisão de Literatura
Authors: Pereira da Silva Anderson Matheus , De Lima Furtado Gisele , Andrade de Souza Mariana Andrade de Souza , Railan Oliveira Gouvêa Antonio Railan Oliveira Gouvêa , De Souza Silva Jéssica de Souza Silva , Carolina Oliveira Diniz Ana Carolina Oliveira Diniz , Hamaoka de Oliveira Victoria Hamaoka de Oliveira , Pinheiro Bezerra Justo Marina Pinheiro Bezerra Justo , De Jesus Santos Emile de Jesus Santos , Kethely Batista Dilson Nycole Kethely Batista Dilson , Pereira Beatriz Pereira , Gonçalves da Silva Wania Gonçalves da Silva , Bezerra Rodrigues Roberta Bezerra Rodrigues , Maria Evangelista Sousa Ana Maria Evangelista Sousa , Rodrigues Carvalho Lívia Rodrigues Carvalho , Ilson Felipe da Silva Júnior José , De Ataíde Diniz Lara , Oberdan Melo Araújo Francisco Oberdan Melo Araújo , Castilho Amâncio Luísa , Leal do Monte Nayanne
Published: August 2024

RESUMO: O transplante de órgãos e tecidos é um procedimento médico de extrema importância, considerado a última esperança para muitos pacientes com doenças terminais ou que não respondem mais a tratamentos convencionais. Objetivo: Este estudo tem como objetivo descrever detalhadamente a atuação da equipe multiprofissional no processo de captação e doação de órgãos e tecidos, bem como ressaltar a importância de uma abordagem multidisciplinar. Metodologia: A revisão de literatura permite a síntese de múltiplos estudos publicados, proporcionando uma visão abrangente sobre o papel da equipe multiprofissional na doação de órgãos. As bases de dados utilizadas foram PUBMED e Biblioteca Virtual da Saúde (BVS), com descritores "profissionais de saúde", "transplante", "doação" e "assistência", em inglês e português. Resultados e discussão: Um dos principais desafios identificados é a falta de notificação de potenciais doadores por parte dos profissionais de saúde. Muitas vezes, a ausência de protocolos claros e a falta de treinamento específico resultam em oportunidades perdidas para a doação de órgãos. Além disso, a resistência das famílias em consentir com a doação, muitas vezes devido à falta de informação adequada e suporte emocional, representa uma barreira significativa. Conclusão:A educação continuada dos profissionais de saúde e a implementação de campanhas de conscientização dentro das instituições de saúde são essenciais para aumentar o conhecimento e a disposição dos profissionais para participar ativamente no processo de captação de órgãos.