A review of trade liberalization and its aftermath by Salinas Meneses, GE

“…Income per capita is introduced to control for endogeneity. Regression fits are higher than in other studies and coefficients more robust. …”

Anaerobic Digestion Of Recycled Paper Mill Effluent (Rpme) Using Modified Anaerobic Hybrid Baffled (Mahb) Reactor by Hassan, Siti Roshayu

“…This finding were in close agreement with the predicted optimum COD removal efficiecncy, lignin removal efficiency and methane production rate predicted by fitting analysis using artificial neural network (ANN). …”
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Principles of heating, ventilation, and air conditioning in buildings / by Mitchell, John W., 1935-, Braun, James E., 1954-

Breakthrough Curves Prediction of Selenite Adsorption on Chemically Modified Zeolite Using Boosted Decision Tree Algorithms for Water Treatment Applications by Neda Halalsheh, Odey Alshboul, Ali Shehadeh, Rabia Emhamed Al Mamlook, Amani Al-Othman, Muhammad Tawalbeh, Ali Saeed Almuflih, Charalambos Papelis

“…The <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>C</mi><mi>a</mi><mi>t</mi><mi>B</mi><mi>o</mi><mi>o</mi><mi>s</mi><mi>t</mi></mrow></semantics></math></inline-formula> model provided the best fit for a breakthrough prediction with a coefficient of determination <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mi>R</mi><mn>2</mn></msup></mrow></semantics></math></inline-formula> equal to 99.57. …”
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Development of a genetic risk score to predict the risk of hypertension in European adolescents from the HELENA study by Gloria Pérez-Gimeno, Gloria Pérez-Gimeno, Miguel Seral-Cortes, Miguel Seral-Cortes, Sergio Sabroso-Lasa, Luis Mariano Esteban, Empar Lurbe, Empar Lurbe, Laurent Béghin, Frederic Gottrand, Aline Meirhaeghe, Manon Muntaner, Anthony Kafatos, Dénes Molnár, Catherine Leclercq, Kurt Widhalm, Mathilde Kersting, Esther Nova, Diego F. Salazar-Tortosa, Diego F. Salazar-Tortosa, Marcela Gonzalez-Gross, Marcela Gonzalez-Gross, Christina Breidenassel, Christina Breidenassel, Kathrin Sinningen, Thaïs De Ruyter, Idoia Labayen, Azahara I. Rupérez, Gloria Bueno-Lozano, Gloria Bueno-Lozano, Luis A. Moreno, Luis A. Moreno

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Estimation of OH in urban plumes using TROPOMI-inferred NO₂&thinsp;∕&thinsp;CO by S. Lama, S. Houweling, S. Houweling, K. F. Boersma, K. F. Boersma, I. Aben, I. Aben, H. A. C. Denier van der Gon, M. C. Krol, M. C. Krol

“…TROPOMI-derived OH concentrations and the pre-existing exponentially modified Gaussian function fit (EMG) method differ by 10 % in summer and winter, confirming that urban OH concentrations can be reliably estimated using the TROPOMI-observed <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M22" display="inline" overflow="scroll" dspmath="mathml"><mrow class="chem"><msub><mi mathvariant="normal">NO</mi><mn mathvariant="normal">2</mn></msub><mo>/</mo><mi mathvariant="normal">CO</mi></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="46pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="13d42e1590cc963490a7adec484359f2"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-22-16053-2022-ie00007.svg" width="46pt" height="14pt" src="acp-22-16053-2022-ie00007.png"/></svg:svg></span></span> ratio. …”
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Effects of radiofrequency electromagnetic field (RF-EMF) exposure on male fertility: A systematic review of experimental studies on non-human mammals and human sperm in vitro by Eugenia Cordelli, Lucia Ardoino, Barbara Benassi, Claudia Consales, Patrizia Eleuteri, Carmela Marino, Maurizio Sciortino, Paola Villani, Martin H. Brinkworth, Guangdi Chen, James P. McNamee, Andrew W. Wood, Lea Belackova, Jos Verbeek, Francesca Pacchierotti

“…The subgroup and the dose–response fitting analyses did not show a consistent relationship between the exposure levels and the observed effects. …”
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Obstacles to the Beach Water Sports Tourism Development in Iran by Mahbobe Abedi, farzam Farzan, morteza dosti, afshar honarvar

“…Discussion and Results: The model fitting is suitable for extracting relationships between variables. …”
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A Comparative Study of Ten Little Indians and The Alphabet of Death from the Perspective of Criminal Psychology by Esmaeil Najar, Elahe Gouran

“…Criminological perspectives such as "neutralization techniques," which are based on the perpetrator's wisdom, fit well with the actions of the main characters in both novels. …”
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Evaluation of a Method for Calculating the Height of the Stable Boundary Layer Based on Wind Profile Lidar and Turbulent Fluxes by Haijiong Sun, Hongrong Shi, Hongyan Chen, Guiqian Tang, Chen Sheng, Ke Che, Hongbin Chen

“…The predicted <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>h</mi></semantics></math></inline-formula> presents relatively good agreement with four observation-derived SBL heights, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>h</mi><mi>J</mi></msub></mrow></semantics></math></inline-formula>, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>h</mi><mn>1</mn></msub></mrow></semantics></math></inline-formula>, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>h</mi><mi>i</mi></msub></mrow></semantics></math></inline-formula>, and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>h</mi><mi>θ</mi></msub></mrow></semantics></math></inline-formula> (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>h</mi><mi>J</mi></msub></mrow></semantics></math></inline-formula>: maximum wind speed height, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>h</mi><mn>1</mn></msub></mrow></semantics></math></inline-formula>: zero wind shear height, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>h</mi><mi>i</mi></msub></mrow></semantics></math></inline-formula>: temperature inversion height, and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>h</mi><mi>θ</mi></msub></mrow></semantics></math></inline-formula>: height at which 0.8 times the inversion strength appears for the first time), especially with <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>h</mi><mi>θ</mi></msub></mrow></semantics></math></inline-formula>, which shows the best fit. In addition, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>h</mi></semantics></math></inline-formula> exhibits a low absolute difference and relative difference with <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>h</mi><mi>J</mi></msub></mrow></semantics></math></inline-formula>, which presents the second-best result. …”
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Global Sensitivity Analysis and Calibration by Differential Evolution Algorithm of HORTSYST Crop Model for Fertigation Management by Antonio Martínez-Ruiz, Agustín Ruiz-García, J. Víctor Prado-Hernández, Irineo L. López-Cruz, J. Olaf Valencia-Islas, Joel Pineda-Pineda

“…The sensitivity analysis came up with nine parameters (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>R</mi><mi>U</mi><mi>E</mi></mrow></semantics></math></inline-formula>, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>a</mi></semantics></math></inline-formula>, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>b</mi></semantics></math></inline-formula>,<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo> </mo><msub><mi>c</mi><mrow><mn>1</mn><mo> </mo></mrow></msub></mrow></semantics></math></inline-formula>,<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo> </mo><msub><mi>c</mi><mn>2</mn></msub></mrow></semantics></math></inline-formula>,<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo> </mo><mi>A</mi></mrow></semantics></math></inline-formula>, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>B</mi><mi>d</mi></msub></mrow></semantics></math></inline-formula>, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>B</mi><mi>n</mi></msub></mrow></semantics></math></inline-formula>, and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo> </mo><mi>P</mi><mi>T</mi><mi>I</mi><mi>i</mi><mi>n</mi><mi>i</mi></mrow></semantics></math></inline-formula>) as the most important of the HORTSYST model, which were included in the calibration process with the DE algorithm. The best fit, according to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>R</mi><mi>M</mi><mi>S</mi><mi>E</mi></mrow></semantics></math></inline-formula>, was for <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>L</mi><mi>A</mi><mi>I</mi></mrow></semantics></math></inline-formula>, followed by <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>N</mi><mi>u</mi><mi>p</mi></mrow></semantics></math></inline-formula>, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>D</mi><mi>M</mi><mi>P</mi></mrow></semantics></math></inline-formula>, and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>E</mi><msub><mi>T</mi><mi>c</mi></msub></mrow></semantics></math></inline-formula> for both crop seasons; the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>R</mi><mi>M</mi><mi>S</mi><mi>E</mi></mrow></semantics></math></inline-formula> was close to zero, indicating a good prediction of the model’s performance.…”
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Wat werkt er en hoe? Het common factors model als basis voor de hulpverlening in het sociaal werk. by Sjef de Vries

“…The generalistic, eclectic way of working in social work does not fit in with the medical model. The medical model-explanation of what works is strongly present in the development of methods in social work. …”
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Digital Storytelling – Special issue by Yngve Nordkvelle

“…The less conventional papers have been selected to fit in with our section of “Practical papers”. We consider these papers of high practical merit. …”
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2234 Developing the future translational science workforce at the University of Iowa by James Torner, Beth R. Knudson, Kimberly Dukes

“…Among the questionnaire findings for 2016–17, all students (100%) rated program quality “excellent,” and 7 of 8 (87.5%) “strongly agreed” that they better understood translational science, that they saw themselves continuing in translational science research after graduation, and they were better able to communicate how their lab research fits within the translational spectrum. In each case 1 of 8 “agreed.” …”
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2262 Is less more? Examining the relationship between food assistance generosity and childhood obesity by Megan M. Reynolds, Melanie Beagley, Ashley M. Fox, Ming Wen, Michael W. Varner, Ken R. Smith

“…Although we submit that our current findings contribute to the literature on the SNAP-health link, we intend to strengthen our analysis in several ways. First, we will fit models that exploit the strengths of the PSID and the welfare generosity index in terms of causal inference. …”
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Aviation safety analysis by Ausrotas, Raymond A., Hansman, Robert John.

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Exploiting sensor and process characteristics to tackle label scarcity in AIoT sensing by Luo, Wenjie

“…Second, PhyAug only requires a small amount of target domain data for law fitting. This data requirement is less than the competing baselines that use transfer learning techniques. …”
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Development of carbon dots-based thin-film nanocomposite membranes for high-performance nanofiltration by Zheng, Han

“…More specifically, this study seeks to 1) design and synthesize CDs with desired properties for the fit-for-purpose development of TFN membranes with improved water permeability, water–solute selectivity, solute–solute selectivity, antifouling capability, and operational stability, 2) acquire a deep understanding of the role of the CDs for the enhanced nanofiltration performances, and 3) optimize the nanofiltration performances of the TFN membranes by establishing a preparation–property–performance relationship. …”
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Experiments on transport phenomena at low temperatures by Chandrasekhar, B

“…The apparatus consists essentially of a small glass dewar with a well-fitting lid, so that the inside of the dewar is thermally well isolated from the outside world. …”

Transcriptome of bacterial pathogens of common bean exposed to hydrogen peroxide at 21°C and 28°C. by Piat, J, Preston, G, Pritchard, L, Kruger, N, Fricker, M

“…To check that the DNA had been removed from the samples, a sample that had fit these readings on the nanodrop and Qubit and could have been sent for sequencing was treated with RNAse and then loaded onto an agarose ethidium bromide gel to double check for DNA contamination. …”