RESEARCH – Md. Jahid Hasan

Research Interests

Computational Fluid Dynamics (CFD), Bio-Fuel Combustion, Swirling Flow, Large Eddy Simulation (LES), Convective Heat Transfer, Nanofluids, Phase Change Materials, Aerodynamics and Design, Machine Learning and data-driven methods

Research Profile Stats & Index

Publication Years: 2022 – Present

PUBLISHED

Under review

CITATIONS

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Featured Research

Numerical Assessment of Oxy-Fuel Combustion for CCS Retrofitting in Coal-Fired Power Plants

This study evaluates the feasibility of retrofitting carbon capture and sequestration (CCS) technology in a 125 MW tangentially coal-fired Barapukuria Thermal Power Plant (BTPP), Bangladesh, to reduce emissions. Numerical simulations were conducted for the existing air-firing condition and five oxy-firing (OF) cases using the discrete droplet method (DDM), discrete transfer radiation method (DTRM), and k–ϵ turbulence model. A two-step reaction mechanism was applied for devolatilization and char oxidation. Model validation against plant data showed good agreement. Results indicate that increasing oxygen concentration in OF cases enhances combustion completeness and raises wall temperatures, reaching up to 2900 K at 100% load for OF31. CO₂ levels in OF31 were comparable to air-firing, and thermal equivalence between air and oxy-firing was observed at approximately OF30+% for flame temperature, convective, and radiative heat transfer. These findings provide insights into optimizing oxy-fuel combustion for CCS integration in existing coal-fired plants.

CFD Analysis of Multi-Ribbed Geometry and Nanofluid Effects in Heat Exchangers

This research numerically explores the thermal performance of helical and straight heat exchangers enhanced with multi-ribbed geometries and varying coil revolutions, combined with water-based nanofluids. A validated CFD model was used to analyze nine configurations with different rib profiles (2, 3, and 4 ribs) and coil revolutions (10, 20, and 30). Results show that reducing rib count and increasing coil revolutions significantly improve heat transfer, with the 2-rib, 30-revolution design achieving the highest Nusselt number. Introducing nanofluids further boosts performance, with Al₂O₃ providing the greatest enhancement and SiO₂ the least. Entropy generation rises with coil revolutions, while friction factor increases with rib complexity. The most efficient design in terms of thermal enhancement factor was 3 ribs with 10 revolutions (TEF = 1.34). This study offers practical guidelines for optimizing heat exchanger geometry and nanofluid selection to maximize thermo-hydraulic efficiency.

Improving Exhaust Gas Recirculation Cooling Performance Using Advanced Vortex Generator Designs

This study numerically investigates the improvement of Exhaust Gas Recirculation (EGR) cooling performance in automotive engines by introducing newly designed wing-type vortex generators (VGs) inside the EGR cooler duct. The CFD model was validated against available data, showing good agreement. Twelve VG shapes were analyzed at a forward inclination angle of 135°, identified as optimal for generating strong vortices. Among single VG designs, the kite-type wing provided the best cooling effect. Subsequently, VGs were arranged in arrays with five different pitch distances, where the Gothic-type wing VG at a 3 mm pitch achieved the highest cooling performance, improving heat transfer by 11% compared to a single VG. Further comparisons revealed that Gothic-type VGs outperform conventional designs, being 12% more effective than discrete ribbed VGs and 4% better than perforated louvered strips. This study demonstrates that optimized VG geometry and arrangement significantly enhance EGR cooling efficiency.

Improving Helmet Safety with Lattice Structures: A Computational and Experimental Study

This study introduces a computational approach to designing motorcycle helmets with lattice liners made of polyamide-12 (PA12) to reduce head injuries, particularly those caused by rotational impacts. Three design concepts and three distinct lattice topologies were developed, and PA12 samples were additively manufactured and tested under quasi-static and dynamic compression to capture strain-rate effects. The experimental data validated finite element models used for simulating linear and oblique impacts according to ECE R22.06 standards. Results show that PA12 lattice liners significantly reduce peak rotational acceleration and can outperform conventional EPS foam liners for single impacts, though at the cost of increased weight. Optimal performance depends on selecting lattice topologies that distribute stress effectively and balance energy absorption with stiffness. This research demonstrates the potential of lattice-based helmet liners for enhanced impact protection and improved safety in motorcycle accidents.

Enhancing Thermal Performance of Domestic Radiators through Fin Design and Perforation Strategies

This study focuses on enhancing the thermal efficiency of domestic hot water radiators by modifying fin geometries and introducing perforations to improve fluid mixing. CFD simulations, validated against experimental data, were conducted on radiators with four fin designs—wavy, spike-rib, cut-section, and straight—combined with two perforation intensities (19 and 38 holes) under varying inlet flow rates. Performance was evaluated using fin surface temperature, entropy generation, heat transfer rate, and thermal enhancement factor. Results show that fin modifications alone can increase heat transfer by up to 131%, while perforations further boost it to 134%. Radiation heat transfer surpassed convection by 60–160% in modified designs. Among all configurations, the spike-fin arrangement demonstrated the highest thermal enhancement factor, making it the most efficient design for improved radiator performance.

Multi-Objective Optimization of Microchannel Heat Sinks with Delta Winglet Vortex Generators

This study focuses on optimizing the thermal performance of microchannel heat sinks equipped with delta winglet vortex generators using CFD simulations and advanced optimization techniques. A total of 192 design points were generated by varying Reynolds number, winglet width, length, and attachment angle. An Artificial Neural Network (ANN) model coupled with the NSGA-II genetic algorithm was employed to simultaneously maximize heat transfer (Nusselt number) and minimize friction factor. The ANN predictions achieved an error margin within 10%, and Pareto optimal solutions were identified in the ranges: 982 < Re < 988, 177 μm < Ld < 233 μm, 10 μm < Wd < 25 μm, and 57° < β < 64°. Decision-making methods (TOPSIS, LINMAP, Shannon entropy) selected optimal configurations, showing Nusselt number improvements of up to 158% with friction factor increases up to 140%. Performance Evaluation Criteria (PEC) values reached 1.92 for the best design. Flow and thermal field analysis revealed that winglet angle and width significantly influence overall performance, providing guidelines for high-efficiency microchannel cooling systems.

Enhanced Thermal Energy Storage Using Optimized Branching Fin Designs in Shell-and-Tube Heat Exchangers

This project focuses on improving the thermal performance of phase change materials (PCMs) in shell-and-tube heat exchangers by addressing their low thermal conductivity and slow phase transition. Nine innovative fin configurations were developed by combining two, three, and four rectangular fins with straight, curved, and angled branching fins. A validated two-dimensional transient CFD model using N-eicosane PCM was employed to analyze melting and solidification behavior, considering natural convection. Results show that fin geometry significantly impacts heat transfer. For melting, two rectangular fins with angled branching achieved the highest improvement, reducing melting time by 84.6% compared to the no-fin case, while curved branching with four fins performed worst. For solidification, three rectangular fins with curved branching were most effective, saving 81.88% of solidification time. Overall, configurations with fewer rectangular fins and optimized branching designs demonstrated superior energy storage rates and time savings, offering practical strategies for efficient thermal energy storage systems.

Bidirectional Ribbed Channel Design for Enhanced Gas Turbine Blade Cooling

This research numerically examines the influence of bidirectionally arranged ribs on heat transfer and flow behavior in a two-pass cooling channel for gas turbine blades. The channel has an aspect ratio of 1:2, with a rib pitch-to-height ratio (P/e) of 10, and three rib geometries—square, triangular, and curved—are analyzed across Reynolds numbers from 10,000 to 50,000. Results show that bidirectional ribs enhance thermal performance by 69% compared to horizontal-only ribs due to induced secondary flows in both directions. While square and triangular ribs exhibit similar thermal characteristics, curved ribs show an 11% lower thermal performance but achieve the least pressure loss. The bend region demonstrates the highest heat transfer due to rib and 180° turn synergy. Overall, curved bidirectional ribs provide the best thermohydraulic performance, with TEFo and TEFs values of 1.38 and 1.25, making them optimal for efficient turbine blade cooling.

Performance Analysis of Helical Tube Heat Exchangers Using Ternary Hybrid Nanofluids

This study presents a comparative numerical investigation of helical tube heat exchangers (HTHE) using water and ternary hybrid nanofluids (THNF), a novel concept for enhancing thermal performance. Nine configurations were analyzed by combining three design variations with three inlet profiles—round, square, and oval—under identical pipe length, helix diameter, and pitch distance. Simulations were performed for Reynolds numbers ranging from 5,000 to 25,000, evaluating Nusselt number, friction factor, outlet temperature, and entropy generation. Results indicate that oval cross-sections achieve the highest Nusselt number, while square profiles exhibit the lowest entropy generation at high Reynolds numbers. Among all designs, Design 1 with an oval inlet provided the best heat transfer rate, whereas Design 2 with a circular inlet showed poor performance. Multi-Criteria Decision Making (MCDM) analysis confirmed Design 1 with a square section as the most efficient overall. Additionally, Al₂O₃+CNT+Graphene-based THNF demonstrated superior thermal performance compared to other nanofluids, highlighting its potential for advanced heat exchanger applications.

Data-Driven Weather Forecasting: A Comparative Study of RNN-LSTM, TFDF, and Stacking Models

This research addresses the challenge of forecasting weather in regions with highly erratic patterns and climate variability using advanced machine learning techniques. A 60-year meteorological dataset from Bangladesh, including rainfall, humidity, temperature, and sea-level pressure, was analyzed. Three approaches—RNN-LSTM, TensorFlow Decision Forest (TFDF), and a stacking ensemble model combining ElasticNet, GradientBoost, KRR, and Lasso—were implemented to improve prediction accuracy. The stacking average model outperformed both TFDF and RNN-LSTM, achieving an RMSLE of 1.3002, which is a 10.9% improvement over TFDF. While TFDF surpassed RNN-LSTM individually, the ensemble approach effectively mitigated overfitting and underfitting, delivering superior reliability for temperature prediction. This study demonstrates the potential of hybrid machine learning strategies for robust weather forecasting in climate-sensitive regions.

Supercritical CO₂-Based Microchannel Heat Sink Optimization for High Heat Flux Applications

This study investigates the thermal and hydraulic performance of constricted microchannel heat sinks using supercritical carbon dioxide (sCO₂) as the working fluid at an operating pressure of 8 MPa. Two constriction geometries—triangular and rectangular—were analyzed with three constriction ratios under varying inlet mass flux and temperature conditions. CFD simulations revealed that triangular constricted channels significantly enhance thermal performance, achieving 1.5 times improvement over straight channels at low mass flow rates, while rectangular constrictions incur higher pressure penalties due to extended narrow sections. Lowering the inlet temperature from 310 K to 306 K resulted in a 43 K reduction in substrate temperature, and reducing the constriction ratio further cooled the substrate by 8 K. The triangular constricted channel at low inlet temperature and mass flux achieved the highest overall performance index of 1.56, demonstrating its superiority for efficient cooling in high-heat-flux applications.

Adjoint-Based Optimization of AUV Wing Geometry for Drag Reduction and Energy Efficiency

This research focuses on improving the hydrodynamic efficiency of Autonomous Underwater Vehicles (AUVs) using a gradient-based adjoint optimization technique combined with Proper Orthogonal Decomposition (POD). The primary goal is to minimize drag forces by optimizing the AUV wing geometry through computational fluid dynamics (CFD) simulations based on the Reynolds-averaged Navier–Stokes (RANS) model for velocities ranging from 0.5 m/s to 2 m/s. Numerical results show significant drag reduction, with a 9% improvement at 1 m/s (from 98.91 N to 90.17 N) and a 17% reduction at 2 m/s (from 386.34 N to 320.90 N), leading to a 20.25% decrease in power consumption. POD analysis identified dominant flow modes, enhancing simulation accuracy and understanding of flow behavior. This study demonstrates the potential of adjoint-based optimization for designing high-performance AUVs for oceanographic and offshore applications.

Multi-Objective Optimization of Scramjet Intakes with Pre-Compression Ramp for Hypersonic Flight

This research proposes a pre-compression ramp mechanism to enhance scramjet intake performance for hypersonic flight by mitigating stagnation pressure loss and intake drag caused by strong oblique shock waves at Mach numbers above 3. A numerical model based on energy and momentum conservation was validated against CFD results with less than 10% error. Multi-objective optimization was performed to maximize stagnation pressure recovery and minimize drag at Mach 7.7 (30 km altitude) and Mach 10 (33.5 km altitude), considering ramp angle (10°–40°) and ramp length (100–500 mm) as design parameters. A Pareto front of 70 optimal solutions was generated, and LINMAP decision-making identified the best configuration. Compared to the baseline, the optimized intake achieved up to 6.54% higher stagnation pressure recovery and 12.31% drag reduction. These findings provide a foundation for designing efficient scramjet intakes for future high-speed propulsion systems.

Latest Publication

Waqas, H., Hasan, M. J., Zainab, S. & Muhammad, T. (2025). Synergistic effects of fin geometry and nanoparticle integration on melting enhancement in phase change material–based thermal energy storage. Mechanics of Time-Dependent Materials 29, 103. https://doi.org/10.1007/s11043-025-09841-5

Most Cited Research

Hossain, R., Azad, A., Hasan, M. J., & Rahman, M. (2022). Thermophysical properties of Kerosene oil-based CNT nanofluid on unsteady mixed convection with MHD and radiative heat flux. Engineering Science and Technology, an International Journal, 35, 101095. https://doi.org/10.1016/j.jestch.2022.101095

Full List of Publications

See the full list of my publications: [Click Here]

List of Published Journal Names

• International Journal of Thermofluids, Elsevier.
• Engineering Science and Technology, an International Journal, Elsevier.
• Alexandria Engineering Journal, Elsevier.
• Results in Engineering, Elsevier.
• Case Studies in Thermal Engineering, Elsevier.
• International Journal of Mechanical Sciences, Elsevier.
• South African Journal of Chemical Engineering, Elsevier.
• Arabian Journal for Science and Engineering, Springer.
• Journal of Molecular Liquids, Elsevier.
• Heliyon, Elsevier.
• Nanotechnology Reviews, Walter de Gruyter GmbH.
• International Journal of Thermal Sciences, Elsevier.
• Journal of Energy Storage, Elsevier.
• International Communications in Heat and Mass Transfer, Elsevier.
• Numerical Heat Transfer, Part A: Applications, Taylor & Francis.
• PLOS One, PLOS.
• ZAMM – Journal of Applied Mathematics and Mechanics, Wiley.
• Physics of Fluids, AIP Publishing.
• Ain Shams Engineering Journal, Elsevier.
• Applied Thermal Engineering, Elsevier.
• Mechanics of Time-Dependent Materials, Springer

Received Research Awards and Grants

AAES Professional Enhancement for Emerging Researchers (PEER) Grant Program 2026
Issued By: Alabama Agriculture Experimental Station, Auburn University, USA
(funding support from the USDA NIFA Hatch funding program and the State of Alabama)
PI: Md Jahid Hasan
Co-PI’s: Dr. Sushil Adhikari and Dr. Hassan Khodaei Jalalabadi
Project Title: Bio-Oil Spray Atomization and Combustion Analysis for Renewable Aviation Fuel
Grant Amount: $5000
Award Date: Nov. 25, 2025
IUTAA Research Excellence Award 2023
Issued By: IUT Alumni Association, Islamic University of Technology
Award Date: Jan. 06, 2023
Bicchuron – Young Bangla 2019
Issued By: Green Delta Insurance Company Limited, Bangladesh
PI’s: Niyaz Ahmed Ahmed and Md Jahid Hasan
Project Title: Combined Powerplant Design by Harnessing Wave Energy & Wind Energy with ‘Searaser’ and ‘Wind Turbine’ – for Saint Martin’s Island. (Team: IUT Innovator)
Grant Amount: 5 Lac BDT (~$5000)
Award Date: Dec. 10, 2019

Associated Funded Research Projects (06)

[06] IUT Research Seed Grant 2022
Grant Reference: Research Seed Grant (IUT- RSG/2022/OL/07/001), Awarded on: 2022, Funding agency: Islamic University of Technology, IUT (OIC)
Principal investigator: Dr. Md. Rezwanul Karim, Professor, MPE, IUT
Role: Collaborator, Output: One (01) Published Paper.

[05] IUT Research Seed Grant 2021
Grant Reference: Research Seed Grant (IUT RSG/2021/OL/07/003), Awarded on: 2021, Funding agency: Islamic University of Technology, IUT (OIC)
Principal investigator: Dr. Arafat A. Bhuiyan, Professor, MPE, IUT
Role: Research Assistant, Output: One (01) Published Paper and Two (02) Under review in Journals

[04] REDIPhE – In collaboration with the University of Padova, Italy
Awarded on: 2020, Funding agency: ECCELLENZA programme of the CARIPARO Foundation
Principal investigator: Dr. Ugo Galvanetto, Professor, Department of Industrial Engineering, University of Padova, Italy.
Role: Collaborator, Output: One (01) Published Journal Paper.

[03] CASR-339(66)/2021 in collaboration with Bangladesh University of Engineering and Technology (BUET)
Grant Reference: CASR-339(66)/2021, Funding agency: Higher Training & Research Programme, BUET
Principal investigator: Dr. M. Mustafizur Rahman, Professor, Department of Mathematics, BUET
Role: Collaborator, Output: Two (02) published papers in Journals.

[02] Square Cavity Heat Transfer Project – in collaboration with BUET
Grant Reference: BUET Basic Research Grant No. 1111202109017, Funding agency: BUET
Principal investigator: Dr. M. Mustafizur Rahman, Professor, Department of Mathematics, BUET
Role: Collaborator, Output: Four (04) published papers in Journals and one (01) papers are under review in Journals.

[01] Bicchuron Renewable Energy Project, Young Bangla and Power Cell
Awarded on: 2020, Funding agency: Green Delta Insurance Company Ltd., Dhaka, Bangladesh

List of Co-authors and Collaborators

Arafat A. Bhuiyan, Kazi Tawkir, M. M. Rahman, A. K. Azad, Rumman Hossain, Zahurul Islam, Shams Forruque Ahmed, Nafis Md. M. Islam, C.N. Mithun, Tasnia Islam Rifa, Mohammad Nasim, Ugo Galvanetto, Abyaz Abid, Farzad Hossain, Md Zakaria Sarkar, Md Rezwanul Karim, Mashrur Muntasir Nuhash, Md. Ibthisum Alam, Ananta Zihad, Fei Duan, Hassan Waqas, Dong Liu, Taseer Muhammad, Mahmudul Firoz, Mostafa Kamal Fahad, Nowroze Farhan Ifraj, Salim Subah, Md Araful Hoque, Abu Kabid Md Wakil Wahid Nirjon, Fawaz Bukht Majmader, M.F. Karim, Eare M. Morshed Alam, Syed Muhammad Raza Shah Naqvi, Sayed M. Eldin, Can Kang, Farzana Akter, Kazi Ahasan Ekram, Badhan Saha, Mohammad Sakib Ul Abrar, Kazi Forhan Nadim Ezaz, Ridowan Islam Pranto, Tamzeed Ahmed Alvy, Md. Zahid Hossain, T. Bairagi, M.N. Hudha, Tahzeeb Rahman Alvi, Abida Shaheen, Muhammad Imran, Dipta Chandra Dey, Shahrin Jahan Jaima, Umair Manzoor, Vasanth Balamurugan, Shahid Mian P, Natteri M Sudharsan, Chenhui Ji, Shamila Khalid, Shafee Ahmad, Qasem M. Al-Mdallal, Afraz Hussain Majeed, Roobaea Alroobaea, Fazlar Rahman, Shorob Alam Bhuiyan, Azmain Rashid Raiyan, Saima Zainab.

Completed Peer Review as Reviewer (313)

Conferences:
• 9th BSME International Conference on Thermal Engineering 2024, Bangladesh (8 Reviews)
• 1st International Conference on Mechanical, Material and Production Engineering (ICMMPE) 2023, IUT, Bangladesh (5 Reviews)
• 2nd International Conference on Mechanical Engineering and Applied Sciences 2022, MIST, Bangladesh (3 Reviews)
• International Conference on Science, Engineering and Technology Application, Semarak Ilmu (1 Review)

I am actively reviewing articles based on Computational Fluid Dynamics, Convective Heat Transfer, Fuel Combustion, Phase Change Materials, Multiphase, Nanofluids, Turbulence, Large Eddy Simulation, Aerodynamics, Machine Learning, and data-driven methods, etc. You can add my name as a suggested reviewer. This is my email address: jahidmeche@gmail.com

Research Supervision/Co-Supervision (16)

[16] Performance enhancement of a mixed compression scramjet intake through geometric modification using genetic algorithm optimization: Azmain Rashid Raiyan and Md. Araful Hoque, Output: One (01) published journal paper. (2025)

[15] Enhancing Hydrodynamic Efficiency in Autonomous Underwater Vehicles (AUVs) utilizing Adjoint Method and Proper Orthogonal Decomposition: Shorob Alam Bhuiyan and Md. Araful Hoque, Output: One (01) published journal paper. (2024)

[14] Heat transfer and fluid flow characteristics of a periodically constricted microchannel heat sink with supercritical carbon-di-oxide (sCO2) as a coolant near its critical point: Fawaz Bukht Majmader, Output: One (01) published journal paper. (2024)

[13] Effects of bidirectional rib arrangements on turbulent flow structure and heat transfer characteristics of a two-pass channel for turbine blade internal cooling: Fawaz Bukht Majmader, Output: One (01) published journal paper. (2024)

[12] An evaluation of different ML Models approach for weather prediction in Bangladesh based on historical data: Md. Mahmudul Hasan, Parisha Binte Rahman, Output: One (01) published journal paper and One (01) under review paper in journal. (2024)

[11] Comparative Analysis on Melting Performance of PCM Using Longitudinal and Branching Fin Configurations in a Shell and Tube Type Thermal Energy Storing Unit: Mostafa Kamal Fahad, Salim Subah, Nowroze Farhan Ifraj, Sharzil Huda Tahsin, Tahzeeb Rahman Alvi, Output: Two (02) published journal papers. (2024)

[10] Comparative investigation on the effects of various design configurations of helical heat exchangers with different cross-sections using ternary hybrid nanofluids: Mostafa Kamal Fahad, Nowroze Farhan Ifraj, Dipta Chandra Dey, Output: One (01) published journal paper. (2024)

[09] Multi-objective hydrothermal performance optimization of a microchannel heat sink equipped with delta winglet vortex generators using NSGA-II genetic algorithm: Fawaz Bukht Majmader, Output: One (01) published journal paper. (2023)

[08] Multi-objective optimization of aerodynamics efficiency of an airfoil incorporating ANN-based genetic algorithm: Md. Mahmudul Hasan, Rifat Ahamed, Output: One (01) under review paper in journal. (2023)

[07] Thermal enhancement of an air-cooled radiator with modified fin geometry and perforation: Fawaz Bukht Majmader, Output: One (01) published journal paper. (2023)

[06] CFD analysis of helical tube heat exchanger with different curvature ratios and geometric profile using nanofluid: Mostafa Kamal Fahad, Nowroze Farhan Ifraj, Salim Subah, Md Araful Hoque, Abu Kabid Md Wakil Wahid Nirjon, Output: One (01) conference paper. (2022)

[05] Optimizing heat transfer in rectangular channels using novel vortex generators with inclination and rotational angles: Mostafa Kamal Fahad, Nowroze Farhan Ifraj, Sharzil Huda Tahsin, Output: One (01) under review paper in journal. (2022)

[04] Thermal and hydraulic performance comparison of metal and carbon-based nanofluids in flat plate collector: A CFD Analysis: Undergraduate project students of Dr. Md. Rezwanul Karim – Mashrur Muntasir Nuhash (170011011), Md. Ibthisum Alam (170011012), Ananta Zihad (170011028), Output: One (01) published journal paper and Thesis book. (2021)

[03] A CFD study on comparison of heat transfer performance of water-based graphene nanoplatelets nanofluids and multiwalled carbon nanotubes nanofluids in a concentric tube heat exchanger: Undergraduate project students of Dr. Arafat Ahmed Bhuiyan – MD Zahinul Hoq (170011039), MD Jabir Rahim (170011008), Output: Thesis book. (2021)

[02] Numerical investigation of a hybrid photovoltaic thermal (PVT) module: Undergraduate project students of Dr. Arafat Ahmed Bhuiyan – Taspia Shawkat Chowdhury (170011025), Mita Noor Hasan (170011062), Fatima Tasneem Mohsin (170011072), Output: One (01) under review paper in journal and Thesis book. (2021)

[01] CFD modeling of H-Darrieus vertical axis wind turbine: Undergraduate project student of Dr. Md. Rezwanul Karim – Morium Mannan Tonni (170011015), Output: Thesis book. (2021)

Invited Talks

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