Article
Energy & Fuels
Md Matiar Rahman, Abu Zar Shafiullah, Animesh Pal, Md Amirul Islam, Israt Jahan, Bidyut Baran Saha
Summary: The study focuses on selecting the optimal adsorption isotherm models using robust statistical methods for each type classified by IUPAC. Box-and-whisker plot of error identification is employed first, followed by further verification using ANOVA, Tukey HSD test, Kruskal-Wallis test, and Wilcoxon rank-sum test. Toth was identified as the optimal isotherm model for specific cooling effect in Maxsorb III/ethanol and silica gel/water pairs.
Article
Economics
Francisco Cribari-Neto, Vinicius T. Scher, Fabio M. Bayer
Summary: This study evaluates the accuracy of model selection and short-run forecasting using beta autoregressive moving average (KARMA) models, specifically designed for time series with values in the standard unit interval (0, 1), such as rates, proportions, and concentration indices. Different model selection strategies are examined, including data resampling. Simulation results support the use of the bootstrap-based approach for model selection. Selection based on information criteria outperforms selection based on forecasting accuracy measures. An empirical analysis of forecasting the proportion of stored hydroelectric energy in South Brazil is provided, indicating that model selection through data resampling generally leads to more accurate out-of-sample forecasts.
INTERNATIONAL JOURNAL OF FORECASTING
(2023)
Article
Thermodynamics
Md. Matiar Rahman, Abu Zar Shafiullah, Mahua Jahan Rupa, Shamal Chandra Karmaker, Shahadat Hosan, Animesh Pal, Bidyut Baran Saha
Summary: Adsorption heat transformation techniques can reduce the use of fossil fuels and protect the environment. This study uses a statistical approach to simulate the kinetics data and determine the optimum kinetics model for gas-solid adsorption.
APPLIED THERMAL ENGINEERING
(2023)
Article
Environmental Sciences
Xiaohan Mei, Patricia K. Smith
Summary: Artificial Neural Networks have been widely used in hydrologic and water quality modeling with the challenge of finding optimal network structure. This study compares two model selection approaches for simulating streamflow time series and finds differences in model selection results between the out-of-sample and in-sample methods. Overall, the out-of-sample approach using BlockedCV has better predictive ability for modeling streamflow time series.
Article
Computer Science, Interdisciplinary Applications
Xianzheng Huang, Hongmei Zhang
Summary: Hypotheses testing procedures based on quadratic inference functions are proposed to test differences in structure and strength of associations between nodes in two Gaussian Bayesian networks. Bootstrap procedures are used to estimate p-values and investigate the operating characteristics of these testing procedures in simulation experiments. Additionally, the proposed methods are applied to flow cytometry data from a designed experiment, and data of bile acids from an observational study in the Alzheimer's Disease Neuroimaging Initiative.
COMPUTATIONAL STATISTICS & DATA ANALYSIS
(2021)
Article
Neurosciences
Balint Kiraly, Balazs Hangya
Summary: This article discusses the applications of model selection and clustering techniques in neuroscience research. Model selection is often implicit, assuming a normal distribution as the model for the data, but in some cases, explicit selection of the best model is necessary. Clustering algorithms are used to identify groups with similar properties in the data. This article explores the assumptions and logic behind these techniques and showcases their important applications in neuroscience research.
Article
Multidisciplinary Sciences
Shlomi Kotler, Gabriel A. Peterson, Ezad Shojaee, Florent Lecocq, Katarina Cicak, Alex Kwiatkowski, Shawn Geller, Scott Glancy, Emanuel Knill, Raymond W. Simmonds, Jose Aumentado, John D. Teufel
Summary: In this study, two mechanical drumheads with masses of 70 picograms were deterministically entangled using pulsed electromechanics. Quantum state tomography was performed through nearly quantum-limited measurements, allowing for the direct observation of entanglement. These entangled macroscopic systems are expected to be used in fundamental tests of quantum mechanics, enable sensing beyond the standard quantum limit, and function as long-lived nodes in future quantum networks.
Article
Economics
Peter S. Sephton
Summary: Recent research has shown that wavelet transformations can improve the performance of unit root and stationarity tests by separating a variable's high and low frequency components. This note provides response surface estimates for an Augmented Dickey-Fuller type wavelet test that includes a Fourier term, allowing for smooth breaks in the series. Applications highlight the practical benefits.
COMPUTATIONAL ECONOMICS
(2023)
Article
Multidisciplinary Sciences
Meryem Bekar Adiguzel, Mehmet Ali Cengiz
Summary: Multivariate Adaptive Regression Splines (MARS) is a non-parametric regression analysis method that is useful for model selection in high-dimensional data. It has the advantage of identifying and modeling complex, non-linear relationships between variables without requiring assumptions, as well as automatically selecting variables to simplify the model building process and prevent overfitting.
Article
Computer Science, Interdisciplinary Applications
Yue Su, P. K. Mwanakatwe
Summary: This paper compares the performance of bootstrap-based model selection criteria on the Tobit regression model through intensive Monte Carlo simulation experiments, finding that the model identification risk can be compensated by increasing the scientific computation cost. The recommended bootstrap-based model selection criterion is then applied to fit the fidelity dataset.
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION
(2021)
Article
Mathematical & Computational Biology
Satoshi Hattori, Satoshi Morita
Summary: The recent developments in molecular targeted oncology drug development necessitate new methodologies for early-phase clinical trials to evaluate the efficacy of multiple subtypes simultaneously and efficiently. The concept of basket trials, which borrow information across subtypes, has gained attention. This article presents a purely frequentist approach for basket trials based on the Mantel-Haenszel procedure, allowing borrowing of information under the assumption of a common treatment effect. The proposed estimators are consistent under limiting models and can be used to design confirmatory basket trials, with an information criterion approach to identify effective subclasses.
STATISTICS IN MEDICINE
(2023)
Article
Energy & Fuels
Reza Najafi-Silab, Aboozar Soleymanzadeh, Parvin Kolah-Kaj, Shahin Kord
Summary: Many studies have focused on estimating fluid saturation, an important petrophysical property, in hydrocarbon reservoirs. The cementation factor (m) plays a crucial role in accurately determining water saturation based on Archie's law. This study presents a fast automated version of the electrical quality index (EQI) methodology, using a Gaussian mixture model (GMM) to cluster rock samples into distinct electrical rock types (ERTs) based on EQI values.
JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY
(2023)
Article
Mathematics
Nitzan Cohen, Yakir Berchenko
Summary: This article proposes a new approach that enables the use of classic information criteria for model selection with missing data by normalizing the information criteria theory, which is found to be exponentially better in computational complexity than traditional imputation methods, leading to increased statistical efficiency.
Article
Physics, Multidisciplinary
Luca Spolladore, Michela Gelfusa, Riccardo Rossi, Andrea Murari
Summary: The study suggests that in complex systems and highly correlated variables, the proposed versions of model selection criteria outperform the traditional ones.
Article
Mathematics, Applied
Yesim Guney, Hamparsum Bozdogan, Olcay Arslan
Summary: This paper proposes a robust version of the information-theoretic measure of complexity criterion based on robust alternatives to the maximum likelihood method, aiming to reduce the effect of outliers and measure the overall model complexity in model selection. The proposed robust criteria show flexibility and versatility in handling outliers and selecting the best subset of predictors.
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
(2021)
Review
Chemistry, Multidisciplinary
Andrew Chapman, Elif Ertekin, Masanobu Kubota, Akihide Nagao, Kaila Bertsch, Arnaud Macadre, Toshihiro Tsuchiyama, Takuro Masamura, Setsuo Takaki, Ryosuke Komoda, Mohsen Dadfarnia, Brian Somerday, Alexander Tsekov Staykov, Joichi Sugimura, Yoshinori Sawae, Takehiro Morita, Hiroyoshi Tanaka, Kazuyuki Yagi, Vlad Niste, Prabakaran Saravanan, Shugo Onitsuka, Ki-Seok Yoon, Seiji Ogo, Toshinori Matsushima, Ganbaatar Tumen-Ulzii, Dino Klotz, Dinh Hoa Nguyen, George Harrington, Chihaya Adachi, Hiroshige Matsumoto, Leonard Kwati, Yukina Takahashi, Nuttavut Kosem, Tatsumi Ishihara, Miho Yamauchi, Bidyut Baran Saha, Md Amirul Islam, Jin Miyawaki, Harish Sivasankaran, Masamichi Kohno, Shigenori Fujikawa, Roman Selyanchyn, Takeshi Tsuji, Yukihiro Higashi, Reiner Kirchheim, Petros Sofronis
Summary: This study details the research themes being conducted by the International Institute for Carbon-Neutral Energy Research (I2CNER) and highlights the importance of international collaboration and favorable policy agendas in achieving carbon neutrality. The study emphasizes the need for a diverse range of technologies and initiatives to realize a carbon-free energy system.
BULLETIN OF THE CHEMICAL SOCIETY OF JAPAN
(2022)
Article
Thermodynamics
Hisham Maher, Tahmid Hasan Rupam, Kaiser Ahmed Rocky, Ramadan Bassiouny, Bidyut Baran Saha
Summary: This study focuses on the synthesis and characterization of composites comprising RD silica gel and metal-organic framework MIL-100(Fe) to improve the performance of adsorption-based atmospheric water harvesting system. The impact of adding MIL-100(Fe) on the properties of the composites was experimentally investigated, and three performance indicators were introduced to evaluate the system's performance.
Article
Thermodynamics
Tahmid Hasan Rupam, M. L. Palash, Md Amirul Islam, Bidyut Baran Saha
Summary: This study analyzed and compared the performance of green synthesized transitional metal (10% Ni and 10% Co) doped aluminum fumarate metal-organic frameworks as adsorbent materials in an adsorption chiller with water as the refrigerant. The doped samples showed higher water uptakes and adsorption isotherms shifting towards the lower pressure region. The cyclic performances were investigated through P-T-q diagrams, and specific cooling effects were calculated and compared for different adsorbent/adsorbate pairs.
Article
Thermodynamics
Ahmed A. Askalany, Kutub Uddin, Bidyut B. Saha, Muhammad Sultan, Giulio Santori
Summary: This study presents a new method for experimental investigation of water adsorption kinetics using silica-supported ionic liquid, and predicts its performance in water desalination through modeling. The results suggest a promising future for this material in water desalination applications.
Editorial Material
Thermodynamics
Bidyut Baran Saha, Masashi Haruki, Khairul Habib
HEAT TRANSFER ENGINEERING
(2022)
Article
Thermodynamics
Md Amirul Islam, Animesh Pal, Bidyut Baran Saha, Seong-Ho Yoon, Jin Miyawaki
Summary: This study investigates the thermophysical properties and correlations of twelve waste biomass-derived activated carbon samples, synthesized from mangrove and waste palm trunk. The study reveals significant differences in specific heat capacity among samples with different carbonization and activation conditions. The findings provide insights into synthesizing high-quality activated carbon from unknown biomass sources for specific applications.
HEAT TRANSFER ENGINEERING
(2022)
Article
Thermodynamics
Tahmid Hasan Rupam, M. L. Palash, Anutosh Chakraborty, Bidyut Baran Saha
Summary: This study explores the application of metal organic frameworks (MOFs) as adsorbent materials in adsorption-based heat transformation. Different MOFs were synthesized and their water adsorption was measured. The entropy generation and surface properties were studied to understand the relationship between surface energy and water adsorption. This information is crucial for designing efficient adsorption-based heat transformation applications.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2022)
Article
Chemistry, Analytical
Sampad Ghosh, Samira Yasmin, Jannatul Ferdous, Bidyut Baran Saha
Summary: The effect of molybdenum disulfide (MoS2) as a buffer layer on the parameters of CZTS-based solar cell devices was explored. The proposed structure of graphene/MoS2/CZTS/Ni exhibited enhanced solar cell performance.
Article
Green & Sustainable Science & Technology
Israt Jahan, Md. Amirul Islam, Tahmid Hasan Rupam, Mujib L. Palash, Kaiser Ahmed Rocky, Bidyut Baran Saha
Summary: Adsorption-assisted energy conversion technologies are receiving extensive attention as a sustainable solution for meeting global energy demands. In this study, the water sorption properties of MOF-801 were enhanced by introducing nickel and cobalt into the framework. Two novel bimetallic MOFs, Ni-MOF-801 and Co-MOF-801, were successfully synthesized and showed improved porous and adsorption properties compared to pristine MOF-801. Co-MOF-801 demonstrated a 43% increase in specific cooling effect compared to the pristine MOF-801. These findings contribute significantly to the development of high-performance adsorption-based energy conversion systems.
SUSTAINABLE MATERIALS AND TECHNOLOGIES
(2022)
Article
Economics
Andrew Chapman, Yosuke Shigetomi, Shamal Chandra Karmaker, Bidyut Saha, Caleb Brooks
Summary: This study investigates the differences in awareness and preference of racial groups towards the types of energy for future energy system design in the US, emphasizing the importance of considering cultural and demographic awareness in energy policy making.
Article
Thermodynamics
Balaji Bakthavatchalam, Khairul Habib, R. Saidur, Bidyut Baran Saha
Summary: This research proposes the use of nanofluid as a coolant and a nanofluid cooled radiator to enhance the heat transfer rate of thermoelectric air conditioners. Experimental results show that the newly designed system performs best at 6A input current, with a lower temperature drop, higher cooling capacity, and coefficient of performance. Compared to conventional air conditioners, this system achieves significant energy saving and CO2 emission reduction.
APPLIED THERMAL ENGINEERING
(2022)
Article
Engineering, Environmental
Tahmid Hasan Rupam, Timothy Steenhaut, Mujib L. Palash, Yaroslav Filinchuk, Sophie Hermans, Bidyut Baran Saha
Summary: Metal organic frameworks (MOFs) are gaining increasing research interest in thermal energy storage and conversion. In this study, a green synthesis procedure was used to produce a promising MOF for high water sorption, MIL-100(Fe), and its transition metal-doped derivatives. The synthesized materials were tested for water sorption and their surface properties were analyzed. The results showed that the nickel-doped MIL-100(Fe) exhibited the highest cooling effect and total surface free energy among the studied MOFs. The correlation between surface properties and water adsorption isotherms can provide crucial information for developing efficient thermal energy storage and conversion systems.
CHEMICAL ENGINEERING JOURNAL
(2022)
Article
Thermodynamics
Shahadat Hosan, Md Matiar Rahman, Shamal Chandra Karmaker, Andrew J. Chapman, Bidyut Baran Saha
Summary: This paper investigates the impact of remittances on multidimensional energy poverty in Bangladesh using a nationally representative Household Income and Expenditure Survey. The findings suggest that households with remittance income have a significantly lower level of energy poverty. The authors argue that increasing remittance inflow can contribute to alleviating energy poverty in Bangladesh and other developing nations, and therefore, national programs should be established to promote migrant workers, reduce household energy costs, and invest in modern energy technologies.
Article
Environmental Sciences
Md. Shafiqul Islam, Animesh Pal, Mohammad Shams Noor, Istiak Uddin Sazzad
Summary: This study collected data on non-ionizing radiation (NIR) emitted from base transceiver stations in Dhaka City and compared it to international standards and standards of other countries. The study found that the average electric field and electromagnetic field values exceeded the threshold values of certain countries, and approximately 35% of the calculated specific energy absorption rate values exceeded the recommended limit. The study suggests the need for detailed NIR exposure regulations and proper oversight and enforcement.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2023)
Article
Thermodynamics
Balaji Bakthavatchalam, Khairul Habib, Cecilia D. Wilfred, R. Saidur, Bidyut Baran Saha
Summary: This paper investigates the application of an ionic liquid in nanofluids and compares its stability and thermal properties with conventional surfactants. The results show that the inclusion of the ionic liquid improves the thermal conductivity and stability of the nanofluid. However, the electrostatic repulsive force of the ionic liquid decreases with increasing temperature. The nanofluid containing the ionic liquid demonstrates the most significant enhancement in thermal conductivity at 303 K and a maximum dispersion stability of over one month.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2022)
