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Environmentally-responsible corporate: Actions analysis of Latin American pulp and paper industry

Environmental Challenges 2021年 4卷

作者： Moraes, Douglas M. Silva, Paulo H. Rampasso, Izabela Simon Anholon, Rosley Quelhas, Osvaldo L.G. Farias Filho, José R. Toledo, Roberto F. School of Mechanical Engineering University of Campinas Mendeleyev Street 200 Campinas Brazil PNPD/CAPES Program Doctoral Program in Sustainable Management Systems Federal Fluminense University Passo da Pátria Street 156 Niterói Brazil Master Program in Management Systems and Doctoral Program in Sustainable Management Systems Federal Fluminense University Passo da Pátria Street 156 Niterói Brazil Department of Engineering Federal Fluminense University Passo da Pátria Street 156 Niterói Brazil

This article aims to list environmental practices used by Latin American companies in the pulp and paper industry, to create a list, through a scientific method, that can direct other researchers and managers interested in the subject. The research strategies used were bibliographic research and content analysis. The content analysis used 36 sustainability reports published by Latin American companies in the industry between 2018 and 2019. Although 264 companies were mapped, only 36 of them presented sustainability report possible to be accessed. Through the sample of 36 sustainability reports, 36 sustainable environmental practices were identified that could be grouped into five groups, namely: (1) Reuse of waste, efficiency in the production process and effluents treatment;(2) Preservation and area recovery;(3) Energy efficiency;(4) Initiatives with stakeholders;(5) Control of gas emission. Despite the exploratory nature, the information presented here can be used by managers in the area and researchers interested in improving environmental practices of the pulp and paper industry. © 2021 The Author(s)

关键词： Environmental practices Latin America Pulp and paper industry

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Approach of artificial neural network to predict field-dependent rheological properties of magnetorheological plastomer

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AIP Conference Proceedings 2024年第1期3124卷

作者： Dahlia Murni Mohamad Noor Nur Azmah Nordin Saiful Amri Mazlan Nurhazimah Nazmi Irfan Bahiuddin Norhiwani Mohd Hapipi Kasma Diana Saharuddin Muhamad Amirul Sunni Rohim Engineering Materials & Structures (eMast) ikohza Malaysia-Japan International Institute of Technology (MJIIT) Universiti Teknologi Malaysia 54100 Kuala Lumpur Malaysia Pattern Recognition & Robotics Automation (PRA) ikohza Malaysia-Japan International Institute of Technology (MJIIT) Universiti Teknologi Malaysia 54100 Kuala Lumpur Malaysia Mechanical Engineering Department Vocational College Universitas Gadjah Mada Yogyakarta Indonesia Physics Department Center of Foundation Studies in Science University Malaya 50603 Kuala Lumpur Malaysia Department of Engineering and Build Environment Tunku Abdul Rahman University of Management and Technology (Penang Branch) 11200 Tanjung Bungah Pulau Pinang Malaysia

Magnetorheological (MR) material is a smart material composed of one of the magnetic particles of carbonyl iron (CIP) in a non-magnetic medium that can be controlled via magnetic fields. One of the groups of MR materials is MR plastomer (MRP) which consists of CIPs in the low-crosslinking polymer network such as plastomer, and it is introduced to compromise the limitations in MR fluid and MR elastomer. Somehow, the new modern approach particularly machine learning needs to be highlighted to acquire accuracy in the prediction trend of the MRP’s properties, including viscosity. In fact, the approach may reduce time and work consuming in the development process of MRP. Therefore, using an artificial neural network (ANN) as one of the machine learning approaches is an effective medium for forecasting the behavior of the material and resolving constitutive model concerns.

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A drone-based rotating cascade impactor for single-particle analysis: Advancing aerosol mixing state research

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Atmospheric Research 2025年 325卷

作者： Songhui Lee Minwoo Baek Miri Kim Jaebeom Park Minsang Yoo Yongbum Kwon Kang-Ho Ahn Handol Lee Program in Environmental and Polymer Engineering Graduate School of Inha University 100 Inha-ro Michuhol-gu Incheon 22212 Republic of Korea Department of Environmental Engineering Inha University 100 Inha-ro Michuhol-gu Incheon 22212 Republic of Korea Korea National Institute of Rare Metals Korea Institute of Industrial Technology Namdong-gu Incheon 21655 Republic of Korea Department of Mechanical Engineering Hanyang University 55 Hanyangdaehak-ro Sangnok-gu Ansan 15588 Republic of Korea Particle Pollution Research and Management Center Inha University Incheon 21999 Republic of Korea

A novel drone-based aerosol sampling system, integrated with a rotating cascade impactor, was developed to enable size-selective sampling of atmospheric particles at upper altitudes. The system features rotating impaction stages that enable particle deposition suitable for single-particle analysis. For the first time, this platform was combined with Raman microspectroscopy (RMS) and surface-enhanced Raman spectroscopy (SERS) to perform detailed physicochemical characterization of airborne particles, including submicron aerosols, across ground level and aloft. Applied during a high-pollution event, the methodology enabled the characterization of particle mixing states, chemical functional groups, and size-dependent features that may be associated with aerosol transformation mechanisms. Single-particle analysis showed that internally mixed particles in the coarse-mode size range (1.35–5.5 μm) accounted for 53 % of the total in the upper-level sample, exceeding single-component particles by 20 %, which suggests multiphase processing and aging. Among sulfate-containing coarse particles, CaSO 4 was the dominant species (38 %), indicating secondary formation through heterogeneous reactions during long-range transport In the submicron range (<1 μm), nitrate particles dominated (77 %), attributed to freshly formed aerosols resulting from coastal air masses with limited aging. These results highlight the significance of integrating high-resolution vertical aerosol profiling into atmospheric observations, revealing differences not captured by ground-based measurements. Beyond the field findings, this study also demonstrates the utility of a lightweight, drone-mounted rotating cascade impactor system, which enables scalable, size-selective, and altitude-resolved single-particle sampling under atmospheric conditions. This integrated approach offers a novel and practical framework for advancing both aerosol instrumentation and our understanding of atmospheric particle dynamics.

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Improving Deep Learning Models for Pediatric Low-Grade Glioma Tumors Molecular Subtype Identification Using 3D Probability Distributions of Tumor Location

arXiv

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arXiv 2022年

作者： Namdar, Khashayar Wagner, Matthias W. Kudus, Kareem Hawkins, Cynthia Tabori, Uri Ertl-Wagner, Birgit B. Khalvati, Farzad TorontoON Canada Neurosciences & Mental Health Research Program SickKids Research Institute TorontoON Canada Department of Medical Imaging University of Toronto TorontoON Canada Department of Neurooncology The Hospital for Sick Children TorontoON Canada Department of Paediatric Laboratory Medicine Division of Pathology The Hospital for Sick Children University of Toronto Canada Institute of Medical Science University of Toronto TorontoON Canada Department of Computer Science University of Toronto TorontoON Canada Department of Mechanical and Industrial Engineering University of Toronto TorontoON Canada Vector Institute TorontoON Canada NVIDIA Deep Learning Institute AustinTX United States

Background and Purpose: Pediatric low-grade glioma (pLGG) is the most common type of brain tumor in children, and identification of molecular markers for pLGG is crucial for successful treatment planning. Convolutional Neural Network (CNN) models for pLGG subtype identification rely on tumor segmentation. We hypothesize tumor segmentations are suboptimal and thus, we propose to augment the CNN models using tumor location probability in MRI data. Materials and Methods: Our REB-approved retrospective study included MRI Fluid-Attenuated Inversion Recovery (FLAIR) sequences of 143 BRAF fused and 71 BRAF V600E mutated tumors. Tumor segmentations (regions of interest (ROIs)) were provided by a pediatric neuroradiology fellow and verified by a senior pediatric neuroradiologist. In each experiment, we randomly split the data into development and test with an 80/20 ratio. We combined the 3D binary ROI masks for each class in the development dataset to derive the probability density functions (PDF) of tumor location, and developed three pipelines: location-based, CNN-based, and hybrid. Results: We repeated the experiment with different model initializations and data splits 100 times and calculated the Area Under Receiver Operating Characteristic Curve (AUC). The location-based classifier achieved an AUC of 77.90, 95% confidence interval (CI) (76.76, 79.03). CNN-based classifiers achieved AUC of 86.11, CI (84.96, 87.25), while the tumor-location-guided CNNs outperformed the formers with an average AUC of 88.64 CI (87.57, 89.72), which was statistically significant (Student’s t-test p-value 0.0018). Conclusion: We achieved statistically significant improvements by incorporating tumor location into the CNN models. Our results suggest that manually segmented ROIs may not be optimal. Copyright © 2022, The Authors. All rights reserved.

关键词： Location

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A Four-Coordinate Pr4+Imidophosphorane Complex

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Angewandte Chemie 2024年第43期136卷

作者： Dr. Andrew C. Boggiano Dr. Sabyasachi Roy Chowdhury Dr. Michael D. Roy Dr. Maximilian G. Bernbeck Dr. Samuel M. Greer Prof. Bess Vlaisavljevich Prof. Henry S. La Pierre School of Chemistry & Biochemistry Georgia Institute of Technology Atlanta GA 30332-0400 USA Department of Chemistry University of South Dakota Vermillion SD 57069 USA Chemistry Division Los Alamos National Laboratory Los Alamos NM 87545 USA Nuclear and Radiological Engineering and Medical Physics Program School of Mechanical Engineering Georgia Institute of Technology Atlanta GA 30332-0400 USA

The imidophosphorane ligand, [NP t Bu 3 ] − ( t Bu= tert -butyl), enables isolation of a pseudo-tetrahedral, tetravalent praseodymium complex, [Pr 4+ (NP t Bu 3 ) 4 ] ( 1-Pr ), which is characterized by a suite of physical characterization methods including single-crystal X-ray diffraction, electron paramagnetic resonance, and L 3 -edge X-ray near-edge spectroscopies. Variable-temperature direct-current magnetic susceptibility data, supported by multiconfigurational quantum chemical calculations, demonstrate that the electronic structure diverges from the isoelectronic Ce 3+ analogue, driven by increased crystal field. The four-coordinate environment around Pr 4+ in 1-Pr , which is unparalleled in reported extended solid systems, provides a unique opportunity to study the interplay between crystal field splitting and spin-orbit coupling in a molecular tetravalent lanthanide within a pseudo-tetrahedral coordination geometry.

关键词： Imidophosphoranes Lanthanides Praseodymium Tetravalent lanthanide complexes

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Changing the public perception of human embryology ( vol 25, pg 1717, 2023)

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NATURE CELL BIOLOGY 2023年第12期25卷 1884-1884页

作者： Rivron, Nicolas C. Martinez-Arias, Alfonso Sermon, Karen Mummery, Christine Scholer, Hans R. Wells, James Nichols, Jenny Hadjantonakis, Anna-Katerina Lancaster, Madeline A. Moris, Naomi Fu, Jianping Sturmey, Roger G. Niakan, Kathy Rossant, Janet Kato, Kazuto Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA) Vienna BioCenter (VBC) Vienna Austria Systems Bioengineering MELIS Universidad Pompeu Fabra and Catalan Institution for Research and Advanced Studies (ICREA) Barcelona Spain Research Group Reproduction and Genetics Vrije Universiteit Brussel Brussels Belgium European Society for Human Reproduction and Embryology (ESHRE) Strombeek-Bever Belgium Leiden University Medical Center Leiden the Netherlands Max Planck Institute for Molecular Biomedicine Münster Germany Center for Stem Cell and Organoid Medicine Cincinnati Children’s Hospital Medical Center Cincinnati OH USA Division of Developmental Biology Cincinnati Children’s Hospital Medical Center Cincinnati OH USA MRC Human Genetics Unit Institute of Genetics and Cancer The University of Edinburgh Crewe Road Edinburgh UK Developmental Biology Program Sloan Kettering Institute Memorial Sloan Kettering Cancer Center New York NY USA MRC Laboratory of Molecular Biology Cambridge UK The Francis Crick Institute London UK Department of Mechanical Engineering University of Michigan Ann Arbor MI USA Department of Biomedical Engineering University of Michigan Ann Arbor MI USA Department of Cell & Developmental Biology University of Michigan Medical School Ann Arbor MI USA Biomedical Institute for Multimorbidity Hull York Medical School University of Hull Hull UK Cambridge Reproduction University of Cambridge Cambridge UK The Centre for Trophoblast Research Department of Physiology Development and Neuroscience University of Cambridge Cambridge UK Human Embryo and Stem Cell Laboratory The Francis Crick Institute London UK Wellcome Trust–Medical Research Council Stem Cell Institute University of Cambridge Jeffrey Cheah Biomedical Centre Cambridge UK Epigenetics Programme Babraham Institute Cambridge UK The Hospital for Sick Children Toronto ON Canada Department of Biomedical Ethics and Public Policy Graduate School of Medicin

Human embryology is flourishing thanks to an impetus provided by embryo models formed from stem cells. These scientific advances require meticulous experimental work and a refined ethical framework, but also sensible ... 详细信息

关键词： Embryology Embryonic stem cells

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Optimising phase change materials for ventilated building components in sustainable building design: a comprehensive review

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Energy and Buildings 2025年 343卷

作者： Farhan Lafta Rashid Mudhar A. Al-Obaidi Wadhah Amer Hatem Najah M.L. Al Maimuri Arman Ameen Shabbir Ahmad Ephraim Bonah Agyekum Saif Ali Kadhim Karrar A. Hammoodi Petroleum Engineering Department College of Engineering University of Kerbala Karbala 56001 Iraq Technical Instructor Training Institute Middle Technical University Baghdad 10074 Iraq Middle Technical University Technical Institute of Baquba Baquba Diyala 32001 Iraq Building and Construction Techniques Engineering Department College of Engineering and Engineering Techniques Al-Mustaqbal University Hillah Babylon 51001 Iraq Department of Building Engineering Energy Systems and Sustainability Science University of Gävle 801 76 Gävle Sweden Graduate Program of Ocean Engineering School of Engineering Universidade Federal do Rio Grande Rio Grande Italia Avenue km 8 96201-900 Brazil Institute of Geophysics and Geomatics China University of Geosciences Wuhan 430074 China Department of Nuclear and Renewable Energy Ural Federal University Named after the First President of Russia Boris Yeltsin 19 Mira Street Ekaterinburg 620002 Russia Western Caspian University 31 Istiglaliyyat Street AZ1001 Baku Azerbaijan Istanbul Okan University Tuzla Campus 34959 Tuzla Istanbul Turkey College of Mechanical Engineering University of Technology – Iraq Baghdad Iraq College of Engineering University of Al Maarif Al Anbar Iraq

The rise in energy-efficient, sustainable building operations necessitates the development of advanced innovations that reduce heating and cooling demands while maintaining comfortable indoor thermal conditions. Phase change materials (PCMs) demonstrate significant potential as a stabilization mechanism through latent heat storage for managing residential indoor temperatures; however, their integration into systems requires further optimisation. This review examines PCM-assisted ventilation technologies—specifically ventilated façades, roofs, and windows—highlighting their energy performance, which ranges from 7.7 % to 32.8 %, and their capacity to reduce peak temperatures by 2.5 °C to 7.02 °C. These improvements are influenced by PCM thickness of 15–35 mm and melting temperatures of 15–37 °C. The combination of PCM-enhanced hybrid systems with natural or mechanical ventilation has shown greater operational effectiveness, particularly in hot climates and when integrated with adaptive control systems to achieve optimal performance. Despite their benefits, widespread adoption of PCM technologies is hindered by high material costs, hysteresis effects, and limited discharge cycle efficiency. Nevertheless, PCM-enhanced ventilation systems have proven capable of supporting sustainable, low-energy buildings. Continued research is needed to develop cost-effective design strategies, automated control mechanisms, and climate-responsive optimisations to fully realize their potential.

关键词： Energy-efficient ventilation systems Phase change materials (PCMs) Residential buildings Sustainable thermal management

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Modelling and Dynamic Analysis of a Novel Hybrid Aerial – Underwater Robot - Acutus

Modelling and Dynamic Analysis of a Novel Hybrid Aerial – U...

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OCEANS - Europe

作者： Abhijeet Vyas Ridhi Puppala Nikhil Sivadasan Akshay Molawade Thiyagarajan Ranganathan Asokan Thondiyath Department of Mechanical Engineering Indian Institute of Technology Madras Indian Institute of Technology Madras Department of Mechanical Engineering Robotics Laboratory Indian Institute of Technology Madras

Hybrid multi domain vehicles are of great interest in due to their ability to traverse between different medium. The objective behind developing such hybrid vehicle/robot is to combine the capabilities of systems operating in various domains. Very few vehicles are presently being developed which can traverse underwater and can fly in air. Development of systems with capability to traverse both in air and water is highly challenging because of the contrasting properties of the traversing domains. In this paper, we propose one such vehicle which can be used as a remotely operated vehicle (ROV) underwater and can fly as a quadrotor. Design of such system is critical, as the dimensions and other related parameters like the mass and volume has to be optimal for both aerial and underwater traversal. Hence the system mathematically modelled to analyze the dynamics of the system and the same has been used to optimize the dimensions and the overall performance of the result. This paper presents the detailed design, mathematical model of the system and the preliminary simulation results using the developed model. An experimental prototype is being developed to analyze and validate the concept.

关键词： Mathematical model Solid modeling Attitude control Dynamics Vehicle dynamics Surges Buoyancy

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The Operation Management Model of Intermittent Irrigation in Cihea Irrigation Area In Cianjur Regency

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IOP Conference Series: Earth and Environmental Science 2021年第1期757卷

作者： D Yanti T Mandang M Y J Purwanto M Solahudin Agricultural Engineering Program Faculty of Agricultural Technology Andalas University Indonesia Department of Mechanical and Biosystem Engineering IPB University Indonesia Department of Civil and Environmental Engineering IPB University Indonesia

The availability of water for irrigation has been decreasing and the need for other sectors has been increasing rapidly over the time. Whereas, there are also several environmental damages due to the serious exploitation of natural resources in many places. This situation causes the irrigation system has to be managed efficiently and effectively. In irrigation modernization, the implementation of intermittent irrigation is the right choice, because it is a water-saving irrigation technology. The model operation of intermittent irrigation operation that is built is a calculation model to determine the interval of irrigation water provision and the amount of irrigation water, which begins with the planning of the cropping pattern. The irrigation operation management model with intervals of providing irrigation water for 3 days developed in the Cihea Irrigation Area, Cianjur Regency has an influence on irrigation performance. The paddy planting season in Cihea, Cianjur Regency with intermittent irrigation operation, was able to achieve irrigation water productivity values > 0.8-1.0 kg / m3 (advanced stage in modern irrigation management).

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Measuring hand use in the home after cervical spinal cord injury using egocentric video

arXiv

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arXiv 2022年

作者： Bandini, Andrea Dousty, Mehdy Hitzig, Sander L. Craven, B. Catharine Kalsi-Ryan, Sukhvinder Zariffa, José KITE Research Institute Toronto Rehabilitation Institute University Health Network Canada The BioRobotics Institute Scuola Superiore Sant'Anna Pisa Italy Department of Excellence in Robotics and AI Scuola Superiore Sant'Anna Pisa Italy Institute of Biomedical Engineering University of Toronto TorontoON Canada Rehabilitation Sciences Institute Temerty Faculty of Medicine University of Toronto TorontoON Canada St. John's Rehab Research Program Sunnybrook Research Institute Sunnybrook Health Sciences Centre TorontoON Canada Department of Occupational Science & Occupational Therapy Temerty Faculty of Medicine University of Toronto TorontoON Canada Brain and Spinal Cord Rehabilitation Program Toronto Rehabilitation Institute University Health Network TorontoON Canada Division of Physical Medicine and Rehabilitation Department of Medicine Temerty Faculty of Medicine University of Toronto TorontoON Canada Department of Physical Therapy University of Toronto TorontoON Canada Edward S. Rogers Sr. Department of Electrical and Computer Engineering University of Toronto TorontoON Canada

Egocentric video has recently emerged as a potential solution for monitoring hand function in individuals living with tetraplegia in the community, especially for its ability to detect functional use in the home environment. The aim of this study was to develop and validate a wearable vision-based system for measuring hand use in the home among individuals living with tetraplegia. Several deep learning algorithms for detecting functional hand-object interactions were developed and compared. The most accurate algorithm was used to extract measures of hand function from 65 hours of unscripted video recorded at home by 20 participants with tetraplegia. These measures were: the percentage of interaction time over total recording time (Perc);the average duration of individual interactions (Dur);the number of interactions per hour (Num). To demonstrate the clinical validity of the technology, egocentric measures were correlated with validated clinical assessments of hand function and independence (Graded Redefined Assessment of Strength, Sensibility and Prehension - GRASSP, Upper Extremity Motor Score - UEMS, and Spinal Cord Independent Measure - SCIM). Hand-object interactions were automatically detected with a median F1-score of 0.80 (0.67-0.87). Our results demonstrated that higher UEMS and better prehension were related to greater time spent interacting, whereas higher SCIM and better hand sensation resulted in a higher number of interactions performed during the egocentric video recordings. For the first time, measures of hand function automatically estimated in an unconstrained environment in individuals with tetraplegia have been validated against internationally accepted measures of hand function. Future work will necessitate a formal evaluation of the reliability and responsiveness of the egocentric-based performance measures for hand use. © 2022, CC BY-NC-ND.

关键词： Video recording

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