Article
Engineering, Electrical & Electronic
Hui Xia, Dongzhi Zhang, Dongyue Wang, Mingcong Tang, Hao Zhang, Xiaoya Chen, Ruiyuan Mao, Yanhua Ma, Haolin Cai
Summary: This study demonstrates a piezoresistive pressure sensor prepared by layer-by-layer self-assembly of MXene and carbon black, which exhibits high sensitivity, wide sensing range, and acceptable response time. Additionally, the sensor can sensitively capture micropressure signals and control smart devices through external pressure, making it highly versatile and applicable.
IEEE SENSORS JOURNAL
(2022)
Article
Polymer Science
Muhammad Imran Azman, Jirasuta Chungprempree, Jitima Preechawong, Pornsri Sapsrithong, Manit Nithitanakul
Summary: In this study, amines electrolyte solution was used with layer-by-layer technique to modify highly porous polymer, increasing its CO2 adsorption capacity. By utilizing polyHIPE prepared from styrene and divinylbenzene with varying ratios and modifying the surface with LbL technique, improvements were made in surface area, thermal properties, and mechanical properties. The modified material showed the highest CO2 adsorption capacity with the use of PEI, maintaining an open cell structure suitable for adsorption technology.
Article
Polymer Science
Biswa P. Das, Marina Tsianou
Summary: Multilayer thin film assembly by the layer-by-layer (LbL) technique is an inexpensive and versatile route for the synthesis of functional nanomaterials. This study achieves exponential growth in clay-containing polyelectrolyte films with high clay loading and tailored properties by incorporating a weak polyelectrolyte and a clay with high charge density and small particle size. The findings include novel pathways to manipulate film characteristics. The presented strategy can lead to novel approaches to fabricate tailor-made nanomaterials for distinct applications.
Article
Environmental Sciences
Leila Ahmadian-Alam, Hossein Mahdavi, Seyedeh Mohadeseh Mousavi Davijani
Summary: A novel multilayer thin film membrane was designed with HBN nanosheets as fillers, showing superior performance in solute separation and permeation, and a better retention of dyes compared to the bare membrane.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Polymer Science
Tayanee Panapimonlawat, Sukon Phanichphant, Saengrawee Sriwichai
Summary: The study fabricated a PABA/PSS multilayer thin film for use as an electrochemical DA biosensor with good sensitivity, linear range and low detection limit for dopamine detection. The thin film showed powerful efficiency as a dopamine biosensor in real sample analysis.
Article
Biochemistry & Molecular Biology
Jo Sing Julia Tang, Aline Debrassi Smaczniak, Lucas Tepper, Sophia Rosencrantz, Mina Aleksanyan, Lars Daehne, Ruben R. Rosencrantz
Summary: This study describes the synthesis of bioinspired glycopolymer electrolytes using protecting group free and aqueous-based methods, fabricated as thin films by Layer-by-Layer self-assembly to serve as scaffolds for liposomes. The results demonstrate the stability and integrity of glycopolymer coatings and embedded liposomes within the physiological pH range.
MACROMOLECULAR BIOSCIENCE
(2022)
Article
Chemistry, Applied
Peng Wang, Cen Zhang, Yucheng Zou, Yang Li, Hui Zhang
Summary: The study demonstrated that electrospun cellulose acetate films prepared by layer-by-layer self-assembly technique could immobilize lysozyme and exhibit excellent antibacterial activity, showing promising applications in milk and dairy products.
FOOD HYDROCOLLOIDS
(2021)
Article
Materials Science, Multidisciplinary
Daquan Zhang, Jiamin Lu, Cheng Shi, Kai Zhang, Jin Li, Lixin Gao
Summary: This study demonstrates that constructing covalent layer-by-layer assembly films on copper surfaces can significantly enhance corrosion resistance, with an optimum of three assembly layers achieving a protection efficiency of 96.9%. The mechanism of protection is attributed to the formation of covalent triazole films catalyzed by cuprous oxide, as discussed through surface analysis and molecular dynamics simulations.
Article
Engineering, Electrical & Electronic
Like Li, Ya-Nan Zhang
Summary: The fiber-optic pH sensor proposed in this study utilizes layer-by-layer self-assembly and surface plasmon resonance technology to achieve high sensitivity of 32.31 nm/pH. It can detect pH values in the range of 3.18 to 11.84, with confirmed stability, repeatability, and hysteresis characteristics.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Environmental Sciences
Mozarte Santos Santana, Rafael Pereira Alves, Lucas Santos Santana, Mateus Aquino Goncalves, Mario Cesar Guerreiro
Summary: The hydrothermal carbonization process was used to convert defective coffee beans into hydrochars for potential applications in agronomic and environmental fields. The hydrochars were characterized and analyzed for their adsorption capacity, showing promising results and potential for technological use.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Green & Sustainable Science & Technology
Zongqian Wang, Yingping Wan, Xianhong Zheng, Haiwei Yang, Peng Wang, Changlong Li
Summary: This study introduces a novel layer-by-layer self-assembly strategy to fabricate Zr(IV) modified down fibers with high loading, excellent radiative heating performance, and good washability. The surface temperature of Zr(IV) modified down fibers increases by 3.75 degrees C after exposure to infrared radiation, surpassing currently available chemical modified down fibers. Moreover, the radiative heating performance of Zr(IV) modified down fibers only deteriorates by less than 5% after 8 wash cycles, demonstrating impressive washability.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Engineering, Environmental
Sheng Zhou, Dengxian Wu, Zhihong Xu, Qing Jiang
Summary: Sporopollenin exine capsules (SECs) extracted from plant pollen are promising microcapsules for various bio-composite applications, but their hydrophobic interface hinders their use in biomaterials. This study demonstrates that surface functionalization of SECs with polypeptide multilayer films using layer-by-layer self-assembly technology improves their hydrophilicity, enabling better interaction with cells.
CHEMICAL ENGINEERING JOURNAL
(2023)
Review
Biotechnology & Applied Microbiology
Nejla Cini, Ferah Calisir
Summary: Recent advances in the design of nanosized drug delivery systems (NDDS) using layer-by-layer (LbL) self-assembled therapeutic vehicles have provided new possibilities. The LbL method offers a cost-effective and easy-to-apply strategy for loading individual or multiple drugs. Microcapsules and core-shell structures formed by highly charged particles (polyelectrolyte multilayers; PEMs) have been proposed as versatile vehicles for NDDS. This review provides an overview of LbL-PEMs in NDDS, focusing on emerging drug loading and release strategies in the last five years.
Article
Chemistry, Inorganic & Nuclear
Ran Li, Shilin Li, Qinghong Zhang, Yaogang Li, Hongzhi Wang
Summary: This study explores the potential application of Cu-3(HHTP)(2) MOF thin films in the field of electrochromism. By utilizing a layer-by-layer self-assembly method, thin films with controllable thickness were prepared, demonstrating excellent electrochemical properties.
INORGANIC CHEMISTRY COMMUNICATIONS
(2021)
Article
Chemistry, Multidisciplinary
SeJung Kim, Tanyoung Kim, Dongsoo Kim, Byeong-Kwon Ju
Summary: This study developed stretchable gas barrier films with low water permeability and high endurance, which have potential applications in transparent and stretchable electronic devices.
APPLIED SCIENCES-BASEL
(2021)
Article
Environmental Sciences
Mir Mohammad Ali, Mohammad Lokman Ali, Md. Simul Bhuyan, Md. Saiful Islam, Md. Zillur Rahman, Md. Wahidul Alam, Monika Das, Sobnom Mustary, Md. Nazrul Islam
Summary: The research found that the fish species collected from Pasur River are heavily contaminated with toxic metals, posing a significant risk to human health. The concentration of arsenic and chromium varied significantly across seasons, and all fish species had metal concentrations higher than the acceptable level. Consumption of these fish poses chronic cancer risk to the people in the study field.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Environmental Sciences
Gowhar Meraj, Majid Farooq, Suraj Kumar Singh, Md Nazrul Islam, Shruti Kanga
Summary: The sediment yield from mountainous alpine watersheds in the Himalayas impacts the region's flood vulnerability, clean drinking water supplies, and reservoir functioning. Natural vegetation plays a crucial role in sediment retention services, with most areas in the Kashmir valley having low sediment export values despite rugged topography. The study also highlights the importance of ecosystem service provisioning in flood risk reduction and emphasizes the need to consider ecosystem service benefits in policy decisions.
MODELING EARTH SYSTEMS AND ENVIRONMENT
(2022)
Article
Computer Science, Artificial Intelligence
Koushik Dutta, Debotosh Bhattacharjee, Mita Nasipuri, Ondrej Krejcar
Summary: This paper introduces a hybrid filter bank-based convolutional network for 3D face recognition system. By utilizing hybridization technique for feature representation and extraction, the proposed system demonstrates a simple network structure and high computational efficiency, achieving satisfactory recognition rates on three different databases.
NEURAL PROCESSING LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Ratnadeep Dey, Debotosh Bhattacharjee
Summary: This paper presents a study on the no-reference blur metric in image quality assessment, proposing a new metric called NIBEM. The effectiveness of the metric is demonstrated through evaluation with public image quality databases and comparison with other metrics.
SIGNAL IMAGE AND VIDEO PROCESSING
(2022)
Article
Computer Science, Artificial Intelligence
Arindam Kar, Debapriya Banik, Debotosh Bhattacharjee, Massimo Tistarelli
Summary: This paper presents a novel approach for Human Face Recognition, which regularizes the kernel entropy components and makes the method robust to noise. The method divides the kernel feature space into two partitions and uses a Golden Search minimization function to eliminate the null space. The proposed method achieves high recognition accuracy and outperforms other well-known methods in benchmark databases.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Chemistry, Multidisciplinary
Abhijit Rudra Paul, Surajit Sarkar, Jewel Hossain, Syed Arshad Hussain, Swapan Majumdar
Summary: Investigated the efficient one pot synthesis of various bis-coumarinyl methane derivatives under refluxing conditions in ethanol-water, providing high yield and advantages; the synthesized compounds were used to develop nanostructured materials and subjected to various tests.
RESEARCH ON CHEMICAL INTERMEDIATES
(2022)
Article
Environmental Sciences
Hasnahena, Subaran Chandra Sarker, Sahidul Islam, Zakiur Rahman, Nazrul Islam
Summary: Land surface temperature (LST) and vegetation cover are crucial for studying urban microclimates. Due to rapid urbanization and poor management, vegetation cover in Rangpur City Corporation (RpCC) is decreasing, resulting in higher sensible heat. Using satellite imagery and modeling, this study reveals an inverse relationship between LST and vegetation cover in RpCC, and predicts minimal changes in LST and vegetation cover till 2028. However, more forestation is needed to improve urban comfort and protect ecosystems.
MODELING EARTH SYSTEMS AND ENVIRONMENT
(2023)
Article
Environmental Sciences
Arbaaz Aziz Shaikh, Azazkhan Ibrahimkhan Pathan, Sahita Ibopishak Waikhom, Prasit Girish Agnihotri, Md Nazrul Islam, Sudhir Kumar Singh
Summary: Hydrodynamic models are essential in flood management as they help identify flood risk zones. This study used a GIS-integrated 2D hydrodynamic model to evaluate the 2006 flood event and determine the areas of inundation in Surat city. The model accurately simulated the flood and provided valuable information on flood depth, flow velocity, arrival time, and water surface elevation. The findings can assist decision-makers in making timely decisions to minimize casualties and property damage. Additionally, the study can contribute to reducing flood risks in vulnerable areas through effective flood control measures.
MODELING EARTH SYSTEMS AND ENVIRONMENT
(2023)
Article
Engineering, Civil
Geet Sahu, Ayan Seal, Debotosh Bhattacharjee, Robert Frischer, Ondrej Krejcar
Summary: Visibility issues in intelligent transportation systems, particularly in bad weather conditions, have led to major accidents worldwide. The proposed dehazing method utilizes a parameter-adaptive dual-channel modified simplified pulse coupled neural network (PA-DC-MSPCNN) to remove haze from images. By cascading two models and utilizing a fusion technique, the proposed approach outperforms state-of-the-art methods in terms of qualitative and quantitative performances.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Review
Multidisciplinary Sciences
Farhana Yasmin Rahman, Debajyoti Bhattacharjee, Syed Arshad Hussain
Summary: The development of the electronic sector has significantly changed human lifestyle, but it has also had adverse effects on the environment due to the use of toxic and non-degradable materials. To address these environmental problems, green, reprogrammable, biodegradable, sustainable, and environmentally-friendly electronic devices have become a viable solution. Natural materials have emerged as promising candidates for the next generation of electronic devices due to their easy processing, transparency, flexibility, abundant resources, sustainability, recyclability, and simple extraction. This review focuses on the characteristics, advancements, role, limitations, and prospects of using natural materials as the functional layer of resistive switching memory devices, with a primary focus on the switching and memory properties.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES INDIA SECTION A-PHYSICAL SCIENCES
(2023)
Article
Engineering, Electrical & Electronic
Asish Bera, Mita Nasipuri, Ondrej Krejcar, Debotosh Bhattacharjee
Summary: Human body-pose estimation is a complex problem in computer vision, and recent research has focused on sports, yoga, and dance postures for maintaining health conditions. Deep convolutional neural networks have shown significant improvement in solving human body-pose estimation problems. However, there is currently no benchmark public image dataset available for sports and dance postures classification. To address this, we have proposed two image datasets for sports and dance postures, and our deep model, SYD-Net, has achieved state-of-the-art accuracy on the Yoga-82 dataset.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Engineering, Electrical & Electronic
Kaushiki Roy, Debapriya Banik, Gordon K. Chan, Ondrej Krejcar, Debotosh Bhattacharjee
Summary: Cancer cell segmentation is challenging due to the overlapping of tightly packed colonies. This study proposes an automated framework, 2pClPr, for the segmentation of cancer cells in fluorescence microscopy images.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Engineering, Electrical & Electronic
Mohan Karnati, Ayan Seal, Debotosh Bhattacharjee, Anis Yazidi, Ondrej Krejcar
Summary: Emotion recognition is important in cognitive psychology research, but measuring emotions is challenging. Facial expression recognition (FER) approaches have been designed, but challenges increase when data transitions to real-world circumstances. Deep learning (DL) techniques have greatly improved FER systems, but problems such as overfitting and complications unrelated to expressions still exist. This study provides a comprehensive survey of DL-based FER methods, discussing different components and analyzing their performance, advantages, and limitations. It also explores relevant databases and discusses the current status and future directions of facial emotion recognition.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Review
Environmental Sciences
Gowhar Meraj, Suraj Kumar Singh, Shruti Kanga, Md. Nazrul Islam
Summary: The paper aims to identify gaps in ecosystem services assessment and modeling, emphasizing the need for region-specific and standardized methodologies to determine valuation components for understanding trade-offs between development and conservation priorities. Ecosystem service assessments are critical for the sustainable future of Earth.
MODELING EARTH SYSTEMS AND ENVIRONMENT
(2022)
Article
Environmental Sciences
Md. Noman, Md. Nazrul Islam, Mohammad Shoaib
Summary: This study assesses the current state of community-based ecosystem management in Munshiganj District, Bangladesh using the Multiscale Integrated Model of Ecosystem Services approach. The research identified factors such as climate conditions, funding issues, fisheries utilization, and over-harvesting as important considerations. The importance of ecosystem services to the respondents and the need for protective measures were highlighted in the study findings.
MODELING EARTH SYSTEMS AND ENVIRONMENT
(2022)
