bluuebunny/crossref_metadata_2025 huggingface dataset:
Pengamalan Nilai-Nilai Pendidikan Multikultural Terhadap Sikap Toleransi Peserta Didik Di Sekolah Dasar
Authors: Hamidah Hamidah
Published: August 2024

Indonesia is known as a country that has a pluralistic and multicultural society, because Indonesia is a country composed of various islands whose people are also divided into islands spread across Indonesia. Based on this, the level of diversity of the Indonesian nation is very high, both in terms of religious, ethnic, racial and cultural diversity adhered to by Indonesian citizens in each different region. So this diversity creates social problems in everyday life, social problems such as conflicts between ethnicities, races, groups and religions. Implementing multicultural education values such as democracy, humanism and pluralism is the right way to prevent these social problems. Multicultural education is an educational system that views every student as equal without taking sides and looks at the culture, race, ethnicity and religion of the students. In other words, multicultural education upholds an attitude of tolerance that students must have in the learning process in elementary schools. This is motivated by students, educators and teaching staff having different cultural, ethnic, racial and religious backgrounds.
Pengaruh Diversifikasi Produk dan Harga terhadap Keputusan Pembelian (Studi Kasus Konsumen di Mixue Kota Gorontalo)
Authors: Badaru Defrianto , Niode Idris Yanto , Juanna Andi
Published: August 2024

Penelitian ini bertujuan untuk mengetahui seberapa besar diversifikasi produk dan harga berpengaruh terhadap keputusan pembelian secara parsial dan simultan. Penelitian ini menggunakan 96 sampel responden konsumen Mixue di Kota Gorontalo. Metode sampling yang digunakan dalam penelitian ini adalah teknik sampel non probability sampling dan jenis data yang digunakan dalam penelitian ini adalah data primer. Metode analisis data yang digunakan adalah analisis regresi linier berganda, uji parsial dan uji simultan. Hasil penelitian menunjukan bahwa secara parsial diversifikasi produk berpengaruh terhadap keputusan pembelian ditunjukkan dengan nilai  t hitung 3,005 > 1,66088 dengan tingkat signifikansi 0,003 < 0,05. Sedangkan harga berpengaruh terhadap keputusan pembelian ditunjukkan dengan nilai t hitung 4,482 > 1,66088 dengan signifikansi 0,000 < 0,05. Kemudian hasil penelitian uji F menunjukkan nilai F hitung 86,588 > 3,09 dan signifikansi 0,000 < 0,05, artinya diversifikasi produk dan harga berpengaruh secara simultan terhadap keputusan pembelian. Nilai R Square dalam penelitian ini adalah variabel diverifikasi produk dan harga dalam menjelaskan variabel keputusan pembelian diperoleh sebesar 0,648 atau 64,8% sedangkan sisanya sebesar 0,352 atau 35,2% dipengaruhi oleh variabel lain yang tidak diteliti dalam penelitian ini.
Elaboración de alimentos funcionales a partir de ingredientes autóctonos, caso de estudio aplicado a la naranjilla, chocho y chirimoya
Authors: Altamirano Espinosa Andrés , Negrete Anahí , Toapanta Sandy
Published: August 2024

La investigación tuvo como objetivo examinar las propiedades nutricionales y funcionales de la naranjilla (Solanum quitoense), el chocho (Lupinus mutabilis) y la chirimoya (Annona cherimola) a través de una revisión exhaustiva de la literatura científica reciente. Se realizó una búsqueda sistemática en bases de datos reconocidas como PubMed, Scopus, Web of Science y Google Scholar, limitando la selección a artículos publicados en los últimos cinco años y aplicando criterios específicos para garantizar la calidad y relevancia de los estudios. Los resultados destacaron que la naranjilla es una fuente rica en vitamina C, antioxidantes y fibra dietética, proporcionando beneficios para la salud digestiva, el sistema inmunológico y la reducción del estrés oxidativo. El chocho se distinguió por su alto contenido en proteínas, fibra y compuestos bioactivos como polifenoles y saponinas, que ofrecen ventajas para la salud cardiovascular, la neuroprotección y la reducción de la inflamación. La chirimoya, por su parte, es notable por su alto contenido de potasio, fibra y acetogeninas, contribuyendo a la salud digestiva y la prevención del cáncer. La investigación concluye que estos ingredientes autóctonos tienen un alto potencial para su uso en la industria de alimentos funcionales, beneficiando la salud pública y promoviendo la valorización de productos locales.
Inteligencia emocional para el desarrollo organizacional: Explorando la satisfacción de los trabajadores
Authors: Gallegos Montero Ruth , Terán Merino Cristhian David
Published: August 2024

La presente investigación analiza la correspondencia que se produce mediante la inteligencia emocional (IE) sobre la satisfacción laboral en Bróker AJ Seguros. Fundamentado en la importancia creciente de la IE en entornos laborales, el estudio examina cómo las capacidades emocionales afectan la satisfacción del staff comercial. El principal objetivo es establecer la incidencia entre la IE y la satisfacción laboral. Para ello, se midieron la IE autopercibida y la satisfacción laboral de 77 empleados mediante cuestionarios validados, administrados a través de una encuesta virtual. El estudio se presenta con un enfoque en la medición cuantitativa, con un diseño transversal, no experimental y correlacional-causal, y los datos se analizaron con el software SPSS. Se muestran resultados con una correlación positiva importante entre la IE y la satisfacción laboral, indicando que los empleados con niveles superiores de IE tienen mayores índices de satisfacción en su trabajo. Además, factores como la edad y el contexto geográfico influyen en la satisfacción laboral. En síntesis, se aborda la prevalencia de desarrollar la IE como estrategia clave para mejorar la satisfacción laboral y el desarrollo organizacional. Se recomienda implementar programas de formación en IE para potenciar el bienestar y la productividad en Bróker AJ Seguros, contribuyendo a un mejor clima laboral y mayor productividad. Estos hallazgos son aplicables no solo a esta empresa, sino también a otras organizaciones interesadas en optimizar la gestión del talento.
Evaluasi Tingkat Kapabilitas Manajemen Risiko SPBE Pada Diskominfo Jatim Menggunakan Cobit 5
Authors: Hafizh Abiyyu Firdaus  , Siti Mukaromah  , Doddy Rodwandono
Published: August 2024

Abstract The utilization of information technology plays a crucial role in the operations of organizations or companies, including the Communication and Informatics Agency of East Java Province. The utilization of information technology is governed by Presidential Regulation No. 95 of 2018 on the Electronic-Based Government System (SPBE). The purpose of conducting risk management evaluation is to reduce the impact of risks within the organization and to determine the level of SPBE risk management capability. This research uses the Control Objectives for Information and Related Technologies (COBIT) 5 framework. The current assessment results for EDM03 Ensure Risk Optimization (as is) have reached Level 2 – Managed Process with a score of 74.9%, and APO12 Manage Risk (as is) has reached Level 1 – Performed Process with a final score of 79.39% with the category of L (Largely Achieved). Based on this assessment, the gap for EDM03 is one level, and the gap for APO12 is two levels
Peran Sistem Informasi Manajemen Dalam Mewujudkan E-Government
Authors: Annisa Sagala  , Rayyan Firdaus
Published: August 2024

Management Information Systems (MIS) have an important role in the transformation of government towards E-Government. E-Government is a government effort to provide public services electronically to the public and businesses. In this context, SIM plays a role as the main support in managing information and making effective and efficient decisions. The role of Management Information Systems (MIS) in realizing E-Government is very important in increasing the efficiency and effectiveness of public services. SIM helps governments manage information, plan strategies, coordinate activities, and make better decisions. Through SIM, the government can increase information accessibility for the public, speed up the decision-making process, and improve the overall quality of public services. Thus, effective and efficient implementation of SIM will make a major contribution to realizing an E-Government that is transparent, accountable and responsive to community needs.
Edukasi Deteksi Tanda Bahaya Kehamilan Dengan Pemanfaatan Buku Kia Di Posyandu Desa Batursari Kecamatan Sirampog
Authors: Ahmad Ridlo  , Firda Febriana S  , Dwi Aryani  , Laela Septiani  , Dewi Nur B  , Iqlima Fristy W  , Endang Aguskristiana
Published: August 2024

Background: Pregnancy is a natural process, but if you do not receive proper care during pregnancy it can cause morbidity and even death in the mother. In Indonesia, the maternal mortality rate is still quite high and still below the SDGs (Sustainable Development Goals) targets. The causes of maternal death can be reduced and can be prevented through quality care, one of which is early detection of complications during pregnancy. Apart from that, pregnant women must also know about the danger signs of pregnancy by making maximum use of the KIA Book which contains information about Maternal and Child Health. If the mother knows about the danger signs within herself, the pregnant woman will be more aware of her condition.
Han Dynasty costume aesthetics and class
Authors: Jia SHEN
Published: August 2024

Based on the socio-economic and ideological background, this paper explores the characteristics of clothing of different classes and the cultural significance behind them. First of all, the civil official costumes show a majestic and magnificent style, reflecting the majesty and nobility of the literati class; secondly, the military costumes are characterized by grandeur and majesty, emphasizing the might and strength of the soldiers; Thirdly, the merchant clothing showed the characteristics of extravagance and luxury, reflecting the wealth of the merchant class and the pursuit of luxury life; Finally, the costumes of ordinary people are mainly simple and simple, showing the simple life and pragmatic attitude of ordinary people. Through the analysis of the characteristics of these costumes, it can be seen that the social background and ideological concepts have a profound influence on the clothing styles of different classes. It embodies the spirit of the times and aesthetic pursuit. In general, the clothing culture of the Han Dynasty not only has unique artistic value, but also an important part of traditional Chinese culture, which has had a profound impact on the clothing culture of later generations.
PENERAPAN MODEL PEMBELAJARAN COOPERATIVE LEARNING TIPE COOPERATIVE INTEGRATED READING AND COMPOSITION (CIRC) PADA MATERI MEMBACA PEMAHAMAN KELAS 4 DI MADRASAH IBTIDAIYAH AL-BAROKAH AN-NUR AJUNG, JEMBER
Authors: Khofifah Eva Nur , Hartono Hartono
Published: August 2024

Penelitian ini bertujuan untuk mengetahui penerapan model pembelajaran Cooperative Learning tipe CIRC dalam materi membaca pemahaman kelas 4 di Madrasah Ibtidaiyah Al Barokah An-Nur Ajung, Jember. Penelitian ini dilakukan karena dilatar belakangi oleh di mana siswa merasa kesulitan dalam memahami dan mencari informasi  sebuah teks bacaan serta di sisi lain siswa juga memilliki permasalahan yaitu mudah bosan dalam mengikuti pelajaran di kelas. Kemudian guru kelas memutuskan menerapkan model pembelajaran CIRC, oleh karena itu peneliti tertarik melakukan penelitian mengenai penerapan model pembelajaran CIRC. Subjek penelitian ini adalah peserta didik kelas 4. Penelitian ini menggunakan metode kualitatif. Teknik pengumpulan data menggunakan observasi, wawancara dan dokumentasi. Analisis data menggunakan kondensasi,data display dan penarikan kesimpulan. Hasil penelitian ini menunjukkan bahwa dengan adanya penerapan model pembelajaran CIRC maka siswa dengan mudah memahami serta memperoleh informasi isi teks bacaan. Di mana pada pelaksanan model pembelajaran CIRC siswa dituntut untuk bekerja kelompok sehingga siswa memperoleh pengalaman baru dalam pembelajaran, selain itu siswa akan lebih percaya diri untuk mengungkapkan pendapatnya dalam belajar berkelompok.
MENINGKATKAN HASIL BELAJAR SISWA KELAS III PADA MATA PELAJARAN PENDIDIKAN AGAMA ISLAM MATERI SHOLAT KEWAJIBANKU MELALUI METODE TALKING STIK DI SDN 3 GUMIRIH SINGOJURUH BANYUWANGI
Authors: Syamsudin Moh. Anas , Utma Ula Rohmatul
Published: August 2024

Prayer is the main obligation of Muslims, so it must be introduced to children as early as possible. In learning in elementary schools (SD) there are Islamic religious education subjects (PAI) with a focus on discussing material about prayer. The fact that happened that the scores of grade III students in the PAI lesson on my obligation prayer material at SDN Gumirih Singojuruh Banyuwangi were still relatively low, namely out of 16 students only 3 achieved completion scores. Talking stick is a fun method that can be used as an alternative solution to improve student learning outcomes on prayer material. This research was conducted at SDN Gumirih Singojuruh Banyuwangi with the research subjects being grade III students totaling 16. The research method used is classroom action research. Data collection techniques in this study are, interviews, observations, documentation, and tests. While there are 2 kinds of data analysis techniques used, namely individual and class average value analysis techniques. The results showed that there was an increase in the number of children who achieved completeness scores from pre-cycle data as many as 3 children, cycle 1 as many as 7 children and cycle 2 as many as 11 children with a comparison of class average scores in the pre-cycle of 58.25, cycle 1 69, 31, and cycle 2 80.25.
Evaluating the Impact of Artificial Intelligence on Employee Engagement and Performance in Pakistan
Authors: Kazmi Syed Intasar Hussain , Afzal Muhammad Farhan , Gondal Sadia , Ashraf Muhammad Umair , Umair Muhammad
Published: August 2024

This study addresses the pressing issue of how Artificial Intelligence (AI) impacts employee performance in the unique context of Pakistan. With the global integration of AI technologies rapidly reshaping workplaces, understanding its implications on employees becomes imperative. Grounded in the Social Cognitive Theory, this research investigates the complex relationships between AI integration, employee training, AI awareness, and employee performance. Employing quantitative methods and survey data, the study uncovers significant positive associations between these factors and employee performance. These findings underscore the importance of holistic AI adoption strategies that encompass employee development. This study carries vital implications for policymakers, business leaders, and practitioners navigating the evolving AI landscape, offering insights into optimizing workforce performance.
Two decades and two years since 9/11 attack: Is the ‘war against terror’ a success?
Authors:   Department of Public Administration Olabisi Onabanjo University Ago-Iwoye, Nigeria, ADEGBAMI Adeleke , GANIYU Akeem Adewale ,   Department of Public Administration  The Polytechnic Ibadan  Oyo State, Nigeria
Published: August 2024

The September 11, 2001 attack on the United States by the terrorist groups is no doubt a shocking one which forced the then President George Bush and his administration to vehemently vowed; to carry out a war against terror. Consequently, the United States, partnering with other countries across the globe under the auspices of the Global War on Terrorism (GWOT), made real, President Bush's vowed and embarked on full-scale military operations against the terrorists. The efforts of the GWOT at suppressing the terrorists notwithstanding, their activities have continued to escalate. In the course of the war against terror, over seven thousand Americans have died, while hundreds of thousands of Iraqis and Afghans have lost their lives. The costs of procuring the war on terror by joint military operations in Iraq and Afghanistan stood between $2 to $4 trillion, apart from material losses that remain unquantifiable. Given the reality on the ground, the study concluded that, although the war against terrorism has achieved some levels of success, however, the purpose of the declaration of war has not been fully realized. The study thus recommends that the underlying causes of terrorism should be, adequately addressed, for the war on terror to be effective. The United States and its allies should also reassess the approaches they have been using against the terrorist groups and adjust the approaches appropriately.
Identificación de patrones de comportamiento y preferencias de usuarios en la Red Social “x” a través del análisis de datos
Authors: Navas Espin William Ricardo , Zurita Hurtado Harry Alfredo , García Torres Ingrid Angélica , Veintimilla Andrade Miguel Ángel , Segura Torres Mixi Joselyne
Published: August 2024

Esta investigación presenta un análisis detallado de los datos de la red social “X” con el objetivo de identificar patrones de comportamiento y preferencias de los usuarios. Para llevar a cabo este análisis, se emplearon diversas técnicas de ciencia de datos, incluyendo el análisis descriptivo, el análisis de conglomerados y el análisis de redes sociales. Los hallazgos del estudio revelan que, aunque el comportamiento de los usuarios en “X” es bastante diverso, se pueden observar ciertos patrones comunes. A través del análisis de datos, se ha identificado que la actividad de los usuarios presenta patrones claros. Se observa un pico de publicaciones durante los días de semana, mientras que los fines de semana la producción de contenido disminuye. En cuanto a la interacción, se destaca que los usuarios muestran mayor engagement con contenido compartido por personas cercanas, como amigos y familiares, en comparación con publicaciones de individuos desconocidos. Además, el estudio revela una diversidad de preferencias en cuanto al tipo de contenido consumido. Las temáticas que generan mayor interés se asocian con noticias, entretenimiento y cultura, mientras que las relacionadas con política o negocios no obtienen la misma respuesta. Estos resultados ofrecen a los desarrolladores de “X” valiosa información que puede ser utilizada para mejorar la experiencia del usuario en la plataforma, los desarrolladores podrían aplicar estos hallazgos para personalizar la interfaz de usuario o para mejorar las recomendaciones de contenido para los usuarios.
Sustainable Green Hydrogen Transport: A Systematic Framework for the Design of the whole Supply Chain
Authors: Spatolisano Elvira , Pellegrini Laura A.
Published: August 2024

In view of achieving the decarbonization target, green hydrogen is commonly regarded as the alternative capable of reducing the share of fossil fuels. Despite its wide application as a chemical on industrial scale, hydrogen utilization as an energy vector still suffers from unfavorable economics, mainly due to its high cost of production, storage and transportation. To overcome the last two of these issues, different hydrogen carriers have been proposed. Hydrogen storage and transportation through these carriers involve: 1. the carrier hydrogenation, exploiting green hydrogen produced at the loading terminal, where renewable sources are easily accessible, 2. the storage and transportation of the hydrogenated species and 3. its subsequent dehydrogenation at the unloading terminal, to favour H2 release. Although there is a number of studies in literature on the economic feasibility of hydrogen transport through different H2 vectors, very few of them delve into the technical evaluation of the hydrogen value chain. From the process design point of view, the hydrogenation and dehydrogenation stages are of paramount importance, considering that they are the cost drivers of the whole system. This work aims to address this gap by presenting a systematic methodology to technically analyse different hydrogen vectors. For the sake of example, ammonia and dibenzyltoluene are considered. Weaknesses of the overall value chain are pointed out, to understand where to focus research efforts for future process intensification.
Technoeconomic and Sustainability Analysis of Batch and Continuous Crystallization for Pharmaceutical Manufacturing
Authors: Rhim Jungsoo , Nagy Zoltan
Published: August 2024

Continuous manufacturing in pharmaceutical industries has shown great promise to achieve process intensification. To better understand and justify such changes to the current status quo, a technoeconomic analysis of a continuous production must be conducted to serve as a predictive decision-making tool for manufacturers. This paper uses PharmaPy, a custom-made Python-based library developed for pharmaceutical flowsheet analysis, to simulate an annual production cycle for a given active pharmaceutical ingredient (API) of varying production volumes for a batch crystallization system and a continuous mixed suspension, mixed product removal (MSMPR) crystallizer. After each system is optimized, the generalized cost drivers, categorized as capital expenses (CAPEX) or operational expenses (OPEX), are compared. Then, a technoeconomic and sustainability cost analysis is done with the process mass intensity (PMI) as a green metric. The results indicate that while the batch system does have an overall lower cost and better PMI metric at smaller manufacturing scales in comparison with the continuous system, the latter system showed more potential for scaling-up for larger production volumes.
Towards the Development of Digital Twin for Pharmaceutical Manufacturing
Authors: Raudenbush Katherine , Malinov Nikola , Reddy Jayanth V. , Ding Chaoying , Tian Huayu , Ierapetritou Marianthi
Published: August 2024

Pharma 4.0 has continued to advance as the industry develops advances in process analytical technologies, automation, and digit-ization. Digital twins which transform on-line process measure-ments into meaningful outputs in real-time are being developed to seize the opportunity made possible with this shift. Digital twins can be used for improved process optimization on a range of scales, from determining optimal metabolite concentrations in upstream bioreactors to considering economic and environmental impacts of process decisions. In this paper, we explore the current uses of digital twins in solid-based pharmaceutical space and the bio-pharmaceutical manufacturing. Applications cover scale up of upstream processes, product quality control, and consideration of continuous systems. We also describe the intersection of digital twins in flow sheet modeling, sensitivity analysis and optimization, and design space evaluation. Finally, areas requiring further im-provement for industry adoption are addressed.
Analysis of Infrastructures for Processing Plastic Waste using Pyrolysis-Based Chemical Upcycling Pathways
Authors: Erickson Evan D. , Ma Jiaze , Tominac Philip , Aguirre-Villegas Horacio , Zavala Victor M.
Published: August 2024

Modern mechanical recycling infrastructure for plastic is capable of processing only a small subset of waste plastics, reinforcing the need for parallel disposal methods such as landfilling and incineration. Emerging pyrolysis-based chemical technologies can �upcycle� plastic waste into high-value polymer and chemical products and process a broader range of waste plastics. In this work, we study the economic and environmental benefits of deploying an upcycling infrastructure in the continental United States for producing low-density polyethylene (LDPE) and polypropylene (PP) from post-consumer mixed plastic waste. Our analysis aims to determine the market size that the infrastructure can create, the degree of circularity that it can achieve, the prices for waste and derived products it can propagate, and the environmental benefits of diverting plastic waste from landfill and incineration facilities it can produce. We apply a computational framework that integrates techno-economic analysis, life cycle assessment, and value chain optimization. Our results demonstrate that the infrastructure generates an economy of nearly 20 billion USD and positive prices for plastic waste, opening opportunities for compensation to residents who provide plastic waste. Our analysis also indicates that the infrastructure can achieve a plastic-to-plastic degree of circularity of 34% and remains viable under various external factors (including technology efficiencies, capital investment budgets, and polymer market values). Finally, we present significant environmental benefits of upcycling over alternative landfill and incineration waste disposal methods, and comment on ongoing work expanding our modeling methodology to other chemical upcycling pathway case studies, including hydroformylation of specific plastics to chemicals.
Economic Optimization and Impact of Utility Costs on the Optimal Design of Piperazine-Based Carbon Capture
Authors: Akkor Ilayda , Iyer Shachit S. , Dowdle John , Wang Le , Gounaris Chrysanthos
Published: August 2024

Recent advances in process design for solvent-based, post-combustion capture (PCC) processes, such as the Piperazine/Advanced Flash Stripper (PZ/AFS) process, have led to a reduction in the energy required for capture. Even though PCC processes are progressively improving in Technology Readiness Levels (TRL), with a few commercial installations, incorporating carbon capture adds cost to any operation. Hence, cost reduction will be instrumental for proliferation. The aim of this work is to improve process economics through optimization and to identify the parameters in our economic model that have the greatest impact on total cost to build and operate these systems. To that end, we investigated changes to the optimal solution and the corresponding cost of capture considering changes in the price of utilities and solvent. We found that changes in solvent price had the most effect on the cost of capture. However, re-optimizing the designs in the event of price changes did not lead to significant improvements in the case of piperazine, cooling water and electricity, whereas re-optimizing for changes in steam prices lead to yearly saving of 3.8%. These findings show that the design choices obtained at the nominal optimal solution are insensitive to utility price changes except for the case of steam and that there is a need for altered designs for locations where the steam prices are different.
Optimal Clustered, Multi-modal CO2 Transport Considering Non-linear Costs � a Path-planning Approach
Authors: Qiu Kang , Holm Sigmund Eggen , Straus Julian , Roussanaly Simon
Published: August 2024

An important measure to achieve global reduction in CO2 emissions is CO2 capture, transport, and storage. The deployment of CO2 capture requires the development of a shared CO2 transport infrastructure, where CO2 can be transported with different transport modes. Furthermore, the cost of CO2 transport can be subject to significant economies of scale effects with respect to the amount of CO2 transported, also mentioned as clustering effects. Therefore, optimizing the shared infrastructure of multiple CO2 sources can lead to significant reductions in infrastructure costs. This paper presents a novel formulation of the clustered CO2 transport network. The Markov Decision Process formulation defined here allows for more detailed modeling of non-linear, discrete transport costs and increased geographical resolution. The clustering effects are modeled through cooperative multi-agent interactions. A multi-agent, reinforcement learning-based algorithm is proposed to optimize the shared transportation network, with examples illustrating the results of the method.
Integrating Hybrid Modeling and Multifidelity Approaches for Data-Driven Process Model Discovery
Authors: Ravutla Suryateja , Boukouvala Fani
Published: August 2024

Modeling the non-linear dynamics of a system from measurement data accurately is an open challenge. Over the past few years, various tools such as SINDy and DySMHO have emerged as approaches to distill dynamics from data. However, challenges persist in accurately capturing dynamics of a system especially when the physical knowledge about the system is unknown. A promising solution is to use a hybrid paradigm, that combines mechanistic and black-box models to leverage their respective strengths. In this study, we combine a hybrid modeling paradigm with sparse regression, to develop and identify models simultaneously. Two methods are explored, considering varying complexities, data quality, and availability and by comparing different case studies. In the first approach, we integrate SINDy-discovered models with neural ODE structures, to model unknown physics. In the second approach, we employ Multifidelity Surrogate Models (MFSMs) to construct composite models comprised of SINDy-discovered models and error-correction models.
Integrated Design, Control, and Techno-Ecological Synergy: Application to a Chloralkali Process
Authors: Shah Utkarsh , Kudva Akshay , Donnelly Kevin B. , Tang Wei-Ting , Bakshi Bhavik R. , Paulson Joel A.
Published: August 2024

The integrated design and control (IDC) framework is becoming increasingly important for systematic design of flexible manufacturing and energy systems. Recent advances in computing and derivative-free optimization have enabled more tractable solution methods for complex IDC problems that involve, e.g., multi-period dynamics, the presence of high-variance and non-stationarity probabilistic uncertainties, and mixed-integer control/scheduling decisions. Parallelly, developments in techno-ecological synergy (TES) have allowed co-design of industrial and environmental systems that have been shown to lead to win-win solutions in terms of the economy, ecological, and societal benefits. In this work, we propose to combine the IDC and TES frameworks to more accurately capture the real-time interactions between process systems and the surrounding natural resources (e.g., forests, watersheds). Specifically, we take advantage of (multi-scale) model predictive control to close the loop on a realistic high-fidelity simulation of the overall TES system. Since this closed-loop simulation is computationally expensive, we propose to solve the resulting design problem using a data-efficient constrained Bayesian optimization method. We demonstrate that the new perspective offered by the proposed TES-IDC framework leads to robust win-win solutions that can more effectively handle uncertainty in future disturbances compared to technology-only solutions on a chloralkali manufacturing unit built in an urban forest.
An Update on Project PARETO - New Capabilities in DOE's Produced Water Optimization Framework
Authors: Zamarripa Miguel A. , Shamlou Elmira , Vyas Javal , Arnold Travis , Tominac Philip , Shellman Melody H. , Drouven Markus
Published: August 2024

Managing oil and gas produced water, characterized by hypersalinity and large volumes, presents significant challenges. This paper introduces an advanced optimization framework, PARETO, which offers a novel approach to strategic water management, emphasizing produced water (PW) treatment, quality tracking, quantification of emissions, and environmental justice. This work presents a case study showcasing different produced water management challenges. The PARETO framework demonstrated its effectiveness in optimizing water management strategies in line with environmental sustainability and regulatory compliance.
An MINLP Formulation for Global Optimization of Heat Integration-Heat Pump Assisted Distillations
Authors: Nogaja Akash , Tawarmalani Mohit , Agrawal Rakesh
Published: August 2024

Thermal separation processes, such as distillation, play a pivotal role in the chemical and petrochemical sectors, constituting a substantial portion of the industrial energy consumption. Consequently, owing to their huge application scales, these processes contribute significantly to greenhouse gas (GHG) emissions. Decarbonizing distillation units could mitigate carbon emissions substantially. Heat Pumps (HP), that recycle lower quality heat from the condenser to the reboiler by electric work present a unique opportunity to electrify distillation systems. In this research we try to answer the following question in the context of multi-component distillation � Do HPs actually reduce the effective fuel consumption or just merely shift the fuel demand from chemical industry to the power plant? If they do, what strategies consume minimum energy? To address these inquiries, we construct various simplified surrogate and shortcut models designed to effectively encapsulate the fundamental physics of the system. These models are integrated into a superstructure-based Mixed-Integer Nonlinear Programming (MINLP) formulation, which is amenable to global optimization algorithms aimed at minimizing the effective fuel consumption of the system. Moreover, through the examination of a toy 4-component alcohol separation example, we demonstrate how HPs can notably reduce carbon emissions, even when the consumed electricity is generated by burning fossil fuels.
Deciphering the Policy-Technology Nexus: Enabling Effective and Transparent Carbon Capture Utilization and Storage Supply Chains
Authors: Oqbi Manar Y. , Al-Mohannadi Dhabia M.
Published: August 2024

In response to the global imperative to address climate change, this research focuses on enhancing the transparency and efficiency of the Carbon Capture Utilization and Storage (CCUS) supply chain under carbon tax. We propose a decision-making framework that integrates the CCUS supply chain's optimization model, emphasizing carbon tax policies, with a blockchain network. Smart contracts play a pivotal role in automating the exchange and utilization of carbon emissions, enhancing the digitalization of the CCUS supply chain from source to sink. This automation facilitates seamless matching of carbon sources with sinks, efficient transfer of emissions and funds besides record-keeping of transactions. Consequently, it improves the monitoring, reporting, and verification processes within the CCUS framework, thereby simplifying compliance with regulatory mandates for net emission reductions and carbon taxation policies. By eliminating reliance on third-party verifiers, our blockchain-based CCUS system reduces verification costs and ensures reliable tracking of emissions, mitigating the risk of carbon leakage. Policymakers and stakeholders gain valuable insights to optimize the CCUS network design, specifically considering the impact of carbon tax. This study represents an advancement in sustainable practices, providing a robust tool for decision-makers engaged in climate change mitigation efforts.
Integration of Process Design and Intensification Learning via Combined Junior Course Project
Authors: Ball Madelyn R. , Sanyal Oishi , Tian Yuhe
Published: August 2024

We present the implementation of combined junior course projects encompassing three core courses: reaction engineering, separations, and process simulation and design. The combined project aims to enhance the vertical integration of process design learning through all levels of the curriculum. We design the projects to utilize novel modular process technologies (e.g., membrane separation) and to emphasize new process design goals (e.g., sustainability, decarbonization). Two example projects, respectively on green methanol synthesis and ethylene oxide production, are showcased for project implementation. Feedback from junior and senior students is also presented to motivate the development of such joint project in CHE curriculum. We will also discuss the challenges we hope to address to maximize student learning from this unique project.
Análise epidemiológica da morbidade hospitalar da tuberculose pulmonar no brasil, entre 2013 e 2023: Estudo ecológico
Authors: Costa Igor Gabriel Mendes , Elias Gabriella Maciel , Da Silva Carolina Candido da Penha Dantas , Silva Mayara Victória de Sousa , Sobral Sofia Bezerra , Simplicio Gusthavo Dias , Fróes Carlos César Freire , Fagundes Lorena Leal , Fernandes Luísa Mairink , Pereira Victor Carvalho Ramos , Júnior William Roberto de Oliveira Rezende , Oliveira Fabiana Souza , Moreira Mainara de Queiroz , Martins Guilherme Sousa
Published: August 2024

A tuberculose pulmonar, causada pelo Mycobacterium tuberculosis, continua a ser um grave problema de saúde pública no Brasil, com sintomas como tosse persistente, febre e perda de peso. Este estudo, realizado com dados do Sistema de Informações Hospitalares do SUS (SIH/SUS) via TABNET/DATASUS, analisou internações, faixa etária, sexo, tipos de atendimento e custos hospitalares entre janeiro de 2013 e dezembro de 2023. Foram registradas 108.804 internações, com a Região Sudeste concentrando a maior parte (42,44%) e a Região Norte a menor (6,88%). Em termos de custos, a Região Sudeste também liderou com R$ 104.786.169,55, enquanto a Região Norte teve o menor custo, R$ 5.641.780,19. A maioria das internações foi de urgência (80,7%), predominando o sexo masculino (74,1%). A análise revela que, apesar dos avanços no tratamento, a tuberculose ainda representa um desafio significativo, com variações regionais marcantes e uma carga econômica expressiva. A predominância de atendimentos de urgência e os altos custos na Região Sudeste destacam a necessidade urgente de estratégias preventivas e melhorias no acesso aos cuidados de saúde, evidenciando a importância de abordar as desigualdades para reduzir o impacto da doença no país.
Sinusite crônica: Um enfoque nas internações e seus impactos na saúde pública
Authors: Matos Bianca Brandão de Oliveira , João Flávio Guimarães de Leiros  , Eugênio Alencar Muniz Filho  , Juliana Saraiva Fiochi Pena  , Miguel Rodrigues Chaves  , Nathalia Faleiros Macedo  , Lara Leoni Regodanço  , Thaís Xavier de Paula  , Gabriel Araujo Coutinho  , Giovanni Ciarlini Silveira  , Lara Giovana Aguiar Magalhães  , Priscila Antão dos Santos  , Henrique Santos de Sousa Martins  , Thiago Cassio Fuzatti Dos Santos  , Gabrielly Jack Frizon  , Wagner Brüsch Ferreira  , Reges Gonçalves Rovieri  , Rosimere Aparecida Nascimento Ribeiro  , Marieli de Almeida Melo  , Tiago Henrique Toldo de Mello  , Tawa do Nascimento Fontes
Published: August 2024

A sinusite crônica, também conhecida como rinossinusite crônica, é uma condição inflamatória persistente dos seios paranasais e das cavidades nasais que dura por 12 semanas ou mais, apesar do tratamento. Diferente da sinusite aguda, que é frequentemente causada por infecções virais e geralmente se resolve em poucas semanas, a sinusite crônica é caracterizada por uma inflamação prolongada que pode ser desencadeada por uma variedade de fatores, incluindo infecções bacterianas, alergias, poluição, fatores anatômicos e doenças subjacentes como a asma. Dessa forma, o objetivo desse trabalho foi descrever um panorama epidemiológico das internações causadas por sinusite no Brasil, no período de 2020 a 2023. Este é um estudo de séries temporais, que usou dados do Sistema de Informações Hospitalares (SIH) do DATASUS. Essa fonte abrangente oferece uma visão detalhada das internações causadas por sinusite no Brasil. Através desse estudo demostramos um aumento significativo nas internações causadas por sinusite no Brasil, com o sudeste sendo responsável pela maioria das internações. Além disso, identificamos que mulheres brancas, com idade entre 50 a 59 anos, foram as principais afetadas. O desenvolvimento de programas de prevenção e manejo eficazes, juntamente com a pesquisa contínua, é crucial para reduzir a carga da sinusite crônica e melhorar a qualidade de vida dos pacientes. A colaboração entre profissionais de saúde, pesquisadores e formuladores de políticas é essencial para enfrentar esses desafios e promover um sistema de saúde mais equitativo e eficiente.
Endometriose: diagnóstico, tratamento e impactos na fertilidade
Authors: Lopes da Silva Layza , Alves Nascimento Vinícius , Santos Coradi Kamilly , Dornelas Mendes Maria Eduarda , Póvoa Seabra Fernanda , Rodrigues da Silva Hugo Felipe , Santana de Sousa Luana Tamyris , Stafin Ruthes Jéssica , Vitória Filippi Isabella , Nunes Luz Victória , De Freitas Araújo João Lucas
Published: August 2024

A endometriose é considerada uma afecção ginecológica relevante e comum entre mulheres em idade reprodutiva, sendo caracterizada pela presença de tecido endometrial em ambiente extrauterino, em especial na região pélvica. Entre suas principais manifestações clínicas, encontra-se a dor pélvica e a infertilidade. Associados a infertilidade, repercussões emocionais são comuns, afetando diretamente os vínculos conjugais e familiares, além das atividades laborais. O estabelecimento do diagnóstico precoce é um obstáculo importante na terapêutica, no entanto, diferentes abordagens podem ser utilizadas. Considerando o exposto, o trabalho tem como objetivo descrever os principais aspectos da endometriose, apresentando como foco de discussão os meios de diagnóstico, métodos terapêuticos e a associação da doença com a infertilidade feminina. Para isso, realizou-se uma revisão sistemática de literatura nos indexadores PubMed, Scientific Electronic Library Online (SciELO) e Literatura Latino-americana e do Caribe em Ciências da Saúde (LILACS), por meio das palavras-chave “endometriose”, “infertilidade”, “diagnóstico” e “tratamento”. Assim, foram encontradas 478 referências na pesquisa inicial, que foram aplicadas na ferramenta metodológica PRISMA. Em suma, o respectivo trabalho destaca a endometriose como uma condição clínica desafiadora e de relevância social, visto que a mesma causa impactos profundos na saúde e qualidade de vida das mulheres em idade reprodutiva.
Conjuguer distance et présence : la réponse du personnel de la fonction publique à l’égard du travail hybride
Authors: Deschênes Andrée-Anne
Published: August 2024

Dans la foulée de l’expérience de télétravail obligatoire vécue pendant la pandémie de COVID-19 et pour tirer profit à la fois des avantages du télétravail et du travail en présence, de nombreuses organisations ont récemment embrassé le travail hybride. La fonction publique québécoise s’est engagée dans cette voie, en déployant une politique-cadre en matière de télétravail qui régule le nombre de jours de télétravail hebdomadaires. La récence du déploiement à large échelle de cette modalité d’organisation du travail appelle à mieux comprendre ses effets sur la réponse attitudinale du personnel. Prenant appui sur le modèle d’acceptation de la technologie et sur la théorie du signal, cet article vise à examiner la réponse perceptuelle et attitudinale du personnel au travail hybride. À partir de données quantitatives et qualitatives collectées en octobre 2022 auprès du personnel professionnel de la fonction publique et parapublique (n = 3 904), les résultats montrent l’effet positif de l’agréabilité perçue et de l’utilité perçue d’une journée de travail en présence sur la satisfaction à l’égard du travail hybride. La satisfaction à l’endroit du travail hybride influence positivement l’adéquation personne/organisation. L’adéquation personne/organisation exerce un effet positif sur l’engagement organisationnel ainsi que sur la satisfaction au travail. Elle joue un rôle médiateur dans la relation entre la satisfaction envers l’expérience de travail hybride et l’engagement organisationnel, ainsi qu’entre la satisfaction envers l’expérience de travail hybride et la satisfaction au travail. Les résultats qualitatifs témoignent de l’absence de valeur ajoutée des jours de travail en présence, d’une insatisfaction à l’égard du manque de flexibilité et d’une perception positive à l’égard des avantages du télétravail. Ces résultats ajoutent aux connaissances empiriques quant à l’appréciation de l’adéquation personne/organisation dans un contexte de travail hybride. Ils contribuent aux connaissances managériales en soulignant l’importance de considérer les attentes et les valeurs du personnel dans le déploiement des pratiques et politiques organisationnelles.
Pathway activation model for personalized prediction of drug synergy
Authors: Trac Quang Thinh , Huang Yue , Erkers Tom , Östling Päivi , Bohlin Anna , Österroos Albin , Vesterlund Mattias , Jafari Rozbeh , Siavelis Ioannis , Bäckvall Helena , Kiviluoto Santeri , Orre Lukas M , Rantalainen Mattias , Lehtiö Janne , Lehmann Sören , Kallioniemi Olli , Pawitan Yudi , Vu Trung Nghia
Published: August 2024

Targeted monotherapies for cancer often fail due to inherent or acquired drug resistance. By aiming at multiple targets simultaneously, drug combinations can produce synergistic interactions that increase drug effectiveness and reduce resistance. Computational models based on the integration of omics data have been used to identify synergistic combinations, but predicting drug synergy remains a challenge. Here, we introduce DIPx, an algorithm for personalized prediction of drug synergy based on biologically motivated tumor- and drug-specific pathway activation scores (PASs). We trained and validated DIPx in the AstraZeneca-Sanger (AZS) DREAM Challenge dataset using two separate test sets: Test Set 1 comprised the combinations already present in the training set, while Test Set 2 contained combinations absent from the training set, thus indicating the model’s ability to handle novel combinations. The Spearman correlation coefficients between predicted and observed drug synergy were 0.50 (95% CI: 0.47–0.53) in Test Set 1 and 0.26 (95% CI: 0.22–0.30) in Test Set 2, compared to 0.38 (95% CI: 0.34–0.42) and 0.18 (95% CI: 0.16–0.20), respectively, for the best performing method in the Challenge. We show evidence that higher synergy is associated with higher functional interaction between the drug targets, and this functional interaction information is captured by PAS. We illustrate the use of PAS to provide a potential biological explanation in terms of activated pathways that mediate the synergistic effects of combined drugs. In summary, DIPx can be a useful tool for personalized prediction of drug synergy and exploration of activated pathways related to the effects of combined drugs.
Combining mutation and recombination statistics to infer clonal families in antibody repertoires
Authors: Spisak Natanael , Athènes Gabriel , Dupic Thomas , Mora Thierry , Walczak Aleksandra M
Published: August 2024

B-cell repertoires are characterized by a diverse set of receptors of distinct specificities generated through two processes of somatic diversification: V(D)J recombination and somatic hypermutations. B-cell clonal families stem from the same V(D)J recombination event, but differ in their hypermutations. Clonal families identification is key to understanding B-cell repertoire function, evolution, and dynamics. We present HILARy (high-precision inference of lineages in antibody repertoires), an efficient, fast, and precise method to identify clonal families from single- or paired-chain repertoire sequencing datasets. HILARy combines probabilistic models that capture the receptor generation and selection statistics with adapted clustering methods to achieve consistently high inference accuracy. It automatically leverages the phylogenetic signal of shared mutations in difficult repertoire subsets. Exploiting the high sensitivity of the method, we find the statistics of evolutionary properties such as the site frequency spectrum and dN/dS ratio do not depend on the junction length. We also identify a broad range of selection pressures spanning two orders of magnitude.