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89,216 results on '"Latif, A. A. A."'

106. The global distribution and drivers of wood density and their impact on forest carbon stocks

Author

Mo, Lidong, Crowther, Thomas W., Maynard, Daniel S., van den Hoogen, Johan, Ma, Haozhi, Bialic-Murphy, Lalasia, Liang, Jingjing, de-Miguel, Sergio, Nabuurs, Gert-Jan, Reich, Peter B., Phillips, Oliver L., Abegg, Meinrad, Adou Yao, Yves C., Alberti, Giorgio, Almeyda Zambrano, Angelica M., Alvarado, Braulio Vilchez, Alvarez-Dávila, Esteban, Alvarez-Loayza, Patricia, Alves, Luciana F., Amaral, Iêda, Ammer, Christian, Antón-Fernández, Clara, Araujo-Murakami, Alejandro, Arroyo, Luzmila, Avitabile, Valerio, Aymard, Gerardo A., Baker, Timothy R., Bałazy, Radomir, Banki, Olaf, Barroso, Jorcely G., Bastian, Meredith L., Bastin, Jean-Francois, Birigazzi, Luca, Birnbaum, Philippe, Bitariho, Robert, Boeckx, Pascal, Bongers, Frans, Boonman, Coline C. F., Bouriaud, Olivier, Brancalion, Pedro H. S., Brandl, Susanne, Brearley, Francis Q., Brienen, Roel, Broadbent, Eben N., Bruelheide, Helge, Bussotti, Filippo, Gatti, Roberto Cazzolla, César, Ricardo G., Cesljar, Goran, Chazdon, Robin, Chen, Han Y. H., Chisholm, Chelsea, Cho, Hyunkook, Cienciala, Emil, Clark, Connie, Clark, David, Colletta, Gabriel D., Coomes, David A., Valverde, Fernando Cornejo, Corral-Rivas, José J., Crim, Philip M., Cumming, Jonathan R., Dayanandan, Selvadurai, de Gasper, André L., Decuyper, Mathieu, Derroire, Géraldine, DeVries, Ben, Djordjevic, Ilija, Dolezal, Jiri, Dourdain, Aurélie, Engone Obiang, Nestor Laurier, Enquist, Brian J., Eyre, Teresa J., Fandohan, Adandé Belarmain, Fayle, Tom M., Feldpausch, Ted R., Ferreira, Leandro V., Finér, Leena, Fischer, Markus, Fletcher, Christine, Frizzera, Lorenzo, Gamarra, Javier G. P., Gianelle, Damiano, Glick, Henry B., Harris, David J., Hector, Andrew, Hemp, Andreas, Hengeveld, Geerten, Hérault, Bruno, Herbohn, John L., Herold, Martin, Hietz, Peter, Hillers, Annika, Honorio Coronado, Eurídice N., Hui, Cang, Ibanez, Thomas, Imai, Nobuo, Jagodziński, Andrzej M., Jaroszewicz, Bogdan, Johannsen, Vivian Kvist, Joly, Carlos A., Jucker, Tommaso, Jung, Ilbin, Karminov, Viktor, Kartawinata, Kuswata, Kearsley, Elizabeth, Kenfack, David, Kennard, Deborah K., Kepfer-Rojas, Sebastian, Keppel, Gunnar, Khan, Mohammed Latif, Killeen, Timothy J., Kim, Hyun Seok, Kitayama, Kanehiro, Köhl, Michael, Korjus, Henn, Kraxner, Florian, Kucher, Dmitry, Laarmann, Diana, Lang, Mait, Lewis, Simon L., Li, Yuanzhi, Lopez-Gonzalez, Gabriela, Lu, Huicui, Lukina, Natalia V., Maitner, Brian S., Malhi, Yadvinder, Marcon, Eric, Marimon, Beatriz Schwantes, Marimon-Junior, Ben Hur, Marshall, Andrew R., Martin, Emanuel H., McCarthy, James K., Meave, Jorge A., Melo-Cruz, Omar, Mendoza, Casimiro, Mendoza-Polo, Irina, Miscicki, Stanislaw, Merow, Cory, Mendoza, Abel Monteagudo, Moreno, Vanessa S., Mukul, Sharif A., Mundhenk, Philip, Nava-Miranda, María Guadalupe, Neill, David, Neldner, Victor J., Nevenic, Radovan V., Ngugi, Michael R., Niklaus, Pascal A., Ontikov, Petr, Ortiz-Malavasi, Edgar, Pan, Yude, Paquette, Alain, Parada-Gutierrez, Alexander, Parfenova, Elena I., Park, Minjee, Parren, Marc, Parthasarathy, Narayanaswamy, Peri, Pablo L., Pfautsch, Sebastian, Picard, Nicolas, Piedade, Maria Teresa F., Piotto, Daniel, Pitman, Nigel C. A., Poorter, Lourens, Poulsen, Axel Dalberg, Poulsen, John R., Pretzsch, Hans, Arevalo, Freddy Ramirez, Restrepo-Correa, Zorayda, Richardson, Sarah J., Rodeghiero, Mirco, Rolim, Samir G., Roopsind, Anand, Rovero, Francesco, Rutishauser, Ervan, Saikia, Purabi, Salas-Eljatib, Christian, Saner, Philippe, Schall, Peter, Schelhaas, Mart-Jan, Schepaschenko, Dmitry, Scherer-Lorenzen, Michael, Schmid, Bernhard, Schöngart, Jochen, Searle, Eric B., Seben, Vladimír, Serra-Diaz, Josep M., Sheil, Douglas, Shvidenko, Anatoly Z., Da Silva, Ana Carolina, Silva-Espejo, Javier E., Silveira, Marcos, Singh, James, Sist, Plinio, Slik, Ferry, Sonké, Bonaventure, Sosinski, Jr., Enio Egon, Souza, Alexandre F., Stereńczak, Krzysztof J., Svenning, Jens-Christian, Svoboda, Miroslav, Swanepoel, Ben, Targhetta, Natalia, Tchebakova, Nadja, ter Steege, Hans, Thomas, Raquel, Tikhonova, Elena, Umunay, Peter M., Usoltsev, Vladimir A., Valencia, Renato, Valladares, Fernando, Van Bodegom, Peter M., van der Plas, Fons, Van Do, Tran, van Nuland, Michael E., Vasquez, Rodolfo M., Verbeeck, Hans, Viana, Helder, Vibrans, Alexander C., Vieira, Simone, von Gadow, Klaus, Wang, Hua-Feng, Watson, James V., Werner, Gijsbert D. A., Wittmann, Florian, Woell, Hannsjoerg, Wortel, Verginia, Zagt, Roderick, Zawiła-Niedźwiecki, Tomasz, Zhang, Chunyu, Zhao, Xiuhai, Zhou, Mo, Zhu, Zhi-Xin, Zo-Bi, Irie C., and Zohner, Constantin M.

Published
2024
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127. The AlzMatch Pilot Study - Feasibility of Remote Blood Collection of Plasma Biomarkers for Preclinical Alzheimer’s Disease Trials

Author

Walter, Sarah, Langford, O., Jimenez-Maggiora, G. A., Abdel-Latif, S., Rissman, R. A., Grill, J. D., Karlawish, J., Atri, A., Bruschi, S., Hussen, K., Donohue, M. C., Marshall, G. A., Jicha, G., Racke, M., Turner, R. S., van Dyck, C. H., Venkatesh, V., Yarasheski, K. E., Sperling, R., Cummings, J., Aisen, P. S., and Raman, R.

Published
2024
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129. 3P-LLM: Probabilistic Path Planning using Large Language Model for Autonomous Robot Navigation

Author

Latif, Ehsan

Subjects
Computer Science - Robotics
Abstract

Much worldly semantic knowledge can be encoded in large language models (LLMs). Such information could be of great use to robots that want to carry out high-level, temporally extended commands stated in natural language. However, the lack of real-world experience that language models have is a key limitation that makes it challenging to use them for decision-making inside a particular embodiment. This research assesses the feasibility of using LLM (GPT-3.5-turbo chatbot by OpenAI) for robotic path planning. The shortcomings of conventional approaches to managing complex environments and developing trustworthy plans for shifting environmental conditions serve as the driving force behind the research. Due to the sophisticated natural language processing abilities of LLM, the capacity to provide effective and adaptive path-planning algorithms in real-time, great accuracy, and few-shot learning capabilities, GPT-3.5-turbo is well suited for path planning in robotics. In numerous simulated scenarios, the research compares the performance of GPT-3.5-turbo with that of state-of-the-art path planners like Rapidly Exploring Random Tree (RRT) and A*. We observed that GPT-3.5-turbo is able to provide real-time path planning feedback to the robot and outperforms its counterparts. This paper establishes the foundation for LLM-powered path planning for robotic systems., Comment: Exploratory Study

Published
2024

130. PhysicsAssistant: An LLM-Powered Interactive Learning Robot for Physics Lab Investigations

Author

Latif, Ehsan, Parasuraman, Ramviyas, and Zhai, Xiaoming

Subjects
Computer Science - Robotics
Abstract

Robot systems in education can leverage Large language models' (LLMs) natural language understanding capabilities to provide assistance and facilitate learning. This paper proposes a multimodal interactive robot (PhysicsAssistant) built on YOLOv8 object detection, cameras, speech recognition, and chatbot using LLM to provide assistance to students' physics labs. We conduct a user study on ten 8th-grade students to empirically evaluate the performance of PhysicsAssistant with a human expert. The Expert rates the assistants' responses to student queries on a 0-4 scale based on Bloom's taxonomy to provide educational support. We have compared the performance of PhysicsAssistant (YOLOv8+GPT-3.5-turbo) with GPT-4 and found that the human expert rating of both systems for factual understanding is the same. However, the rating of GPT-4 for conceptual and procedural knowledge (3 and 3.2 vs 2.2 and 2.6, respectively) is significantly higher than PhysicsAssistant (p < 0.05). However, the response time of GPT-4 is significantly higher than PhysicsAssistant (3.54 vs 1.64 sec, p < 0.05). Hence, despite the relatively lower response quality of PhysicsAssistant than GPT-4, it has shown potential for being used as a real-time lab assistant to provide timely responses and can offload teachers' labor to assist with repetitive tasks. To the best of our knowledge, this is the first attempt to build such an interactive multimodal robotic assistant for K-12 science (physics) education., Comment: Accepted to IEEE RO-MAN Special Session

Published
2024

131. Simulation of radio signals from cosmic-ray cascades in air and ice as observed by in-ice Askaryan radio detectors

Author

De Kockere, Simon, Broeck, Dieder Van den, Latif, Uzair Abdul, de Vries, Krijn D., van Eijndhoven, Nick, Huege, Tim, and Buitink, Stijn

Subjects
Astrophysics - High Energy Astrophysical Phenomena, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

A new generation of neutrino observatories will search for PeV-EeV neutrinos interacting in the ice by detecting radio pulses. Extended air showers propagating into the ice will form an important background and could be a valuable calibration signal. We present results from a Monte-Carlo simulation framework developed to fully simulate radio emission from cosmic-ray particle cascades as observed by in-ice radio detectors in the polar regions. The framework involves a modified version of CoREAS (a module of CORSIKA 7) to simulate in-air radio emission and a GEANT4-based framework for simulating in-ice radio emission from cosmic-ray showers as observed by in-ice antennas. The particles that reach the surface of the polar ice sheet at the end of the CORSIKA 7 simulation are injected into the GEANT4-based shower simulation code that takes the particles and propagates them further into the ice sheet, using an exponential density profile for the ice. The framework takes into account curved ray paths caused by the exponential refractive index profiles of air and ice. We present the framework and discuss some key features of the radio signal and radio shower footprint for in-ice observers., Comment: 18 pages, 18 figures

Published
2024
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132. G-SciEdBERT: A Contextualized LLM for Science Assessment Tasks in German

Author

Latif, Ehsan, Lee, Gyeong-Geon, Neumann, Knut, Kastorff, Tamara, and Zhai, Xiaoming

Subjects
Computer Science - Computation and Language, Computer Science - Artificial Intelligence
Abstract

The advancement of natural language processing has paved the way for automated scoring systems in various languages, such as German (e.g., German BERT [G-BERT]). Automatically scoring written responses to science questions in German is a complex task and challenging for standard G-BERT as they lack contextual knowledge in the science domain and may be unaligned with student writing styles. This paper presents a contextualized German Science Education BERT (G-SciEdBERT), an innovative large language model tailored for scoring German-written responses to science tasks and beyond. Using G-BERT, we pre-trained G-SciEdBERT on a corpus of 30K German written science responses with 3M tokens on the Programme for International Student Assessment (PISA) 2018. We fine-tuned G-SciEdBERT on an additional 20K student-written responses with 2M tokens and examined the scoring accuracy. We then compared its scoring performance with G-BERT. Our findings revealed a substantial improvement in scoring accuracy with G-SciEdBERT, demonstrating a 10.2% increase of quadratic weighted Kappa compared to G-BERT (mean difference = 0.1026, SD = 0.069). These insights underline the significance of specialized language models like G-SciEdBERT, which is trained to enhance the accuracy of contextualized automated scoring, offering a substantial contribution to the field of AI in education., Comment: Accepted by EDM and Submitted to JEDM

Published
2024

133. Radio Emission from High-Redshift Active Galactic Nuclei in the JADES and CEERS Surveys

Author

Latif, Muhammad A., Aftab, Ammara, and Whalen, Daniel J.

Subjects
Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

Recent calculations indicate that radio emission from quasars at $z \sim$ 6 - 7 could be detected at much earlier stages of evolution, at $z \sim$ 14 - 15, by the Next-Generation Very Large Array (ngVLA) and the Square Kilometer Array (SKA). However, the {\em James Webb Space Telescope} has now discovered less luminous active galactic nuclei (AGNs) at $z >$ 4 and a few massive black holes (BHs) at $z >$ 10, which may be the progenitors of supermassive black holes (SMBHs) but at different stages of growth. Radio detections of these new AGNs would provide complementary measures of their properties and those of their host galaxies. Here we estimate radio flux densities for 19 new AGNs found by the JADES, CEERS and UNCOVER surveys. We find that ngVLA should be able to detect most of these sources in targeted surveys with integration times of 10 - 100 hr (and in just 1 hr for a few of them) but most would require at least 100 hr of SKA time in spite of its greater sensitivities at low frequencies. In some cases, radio emission from the BH can be distinguished from that of H II regions and supernovae in their host galaxies, which could be used to estimate their star formation rates. Such detections would be yet another example of the useful synergies between near infrared and radio telescopes in SMBH science in the coming decade., Comment: To be published in Astronomical Journal, comments welcome

Published
2024

134. Magnetic field amplification in massive primordial halos: Influence of Lyman-Werner radiation

Author

Díaz, V. B., Schleicher, D. R. G., Latif, M. A., Grete, P., and Banerjee, R.

Subjects
Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

The potential importance of magnetic fields during structure formation and gravitational collapse in the early Universe has been shown in several studies. In particular, magnetic field amplification by the small-scale dynamo plays an important role in addition to the pure amplification expected from gravitational collapse. In this paper, we study the small-scale dynamo for halos of $\gtrsim10^7$ M$_\odot$ collapsing at $z\gtrsim12$, under different ambient conditions due to the strength of the Lyman-Werner background. Additionally, we estimate the approximate saturation level by varying the initial magnetic field strength. We performed cosmological magnetohydrodynamical simulations for three distinct halos of $\sim10^7$ M$_{\odot}$ at $z\geq13$ by varying the Jeans resolution from $32-256$ cells and employed Lyman Werner background flux of strengths $10^2-10^5$ in units of $J_{21}$, where $J_{21}=10^{-21}$ erg$/$cm$^2/$sr$/$s$/$Hz. To follow the chemical and thermal evolution of the gas we made use of the KROME package. In addition to the compression by collapse, we find magnetic field amplification via the dynamo both in the regimes of atomic and molecular hydrogen cooling. Moreover, we find a lower saturation level in the molecular hydrogen cooling regime. This behaviour can be understood due to the generally reduced radial infall velocities and vorticities in this regime, as well as the higher Mach numbers of the gas, which give rise to a smaller saturation ratio. Our results overall suggest that the dynamo operates over a large range of conditions in the collapsing gas., Comment: 20 pages, 16 figures, 3 tables. Accepted for publication in A&A

Published
2024

148. The Effect of Work Requirements in SNAP in Virginia

Author

Abdul Latif Jameel Poverty Action Lab, National Institute on Minority Health and Health Disparities (NIMHD), and Tim Layton, 30th Anniversary Associate Professor of Health Care Policy

Published
2024

150. Hematological indicators and serum claudin-3 as valuable indices for severity of HCV-related liver cirrhosis

Author

Ayman Farid El-Shayeb, Mohamed Sobhy El-Shazly, Akram Abdel Moneim Deghady, Nesreen Mohamed Abdel-Latif, and Amany Nabil Abbasy

Subjects
Claudin-3, Hematological indices, Liver cirrhosis, Decompensation, Intestinal permeability, Surgery, RD1-811, Diseases of the digestive system. Gastroenterology, RC799-869
Abstract

Abstract Background and study aim Cirrhosis of the liver occurs in two stages: compensated and decompensated. Increased intestinal permeability and bacterial translocation are the causes of systemic inflammatory response syndrome (SIRs), which may be linked to hepatic decompensation. Serum claudin-3 and hematological indices [mean platelet volume (MPV)/platelet ratio (MPR), red cell distribution width (RDW), red blood cell/lymphocyte ratio (RLR), neutrophil/lymphocyte ratio (NLR), monocyte/lymphocyte ratio (MLR), and red cell/lymphocyte ratio (RLR)] were evaluated in this study as possible indicators of decompensated liver cirrhosis (LC). Patients/materials and methods Twenty healthy people and 80 patients who were admitted to the tropical medicine department of Alexandria Main University Hospital participated in our study. Group I comprised 50 patients with decompensated LC post-chronic hepatitis C virus (HCV) infection, group II included 30 patients with compensated LC related to HCV, and group III included 20 healthy individuals as the control group. Using established protocols, enzyme-linked immunohistochemical assay (ELISA) was used to assess serum claudin-3. Results Comparing patients with decompensated LC to those with compensated LC and the control group, there was a statistically significant increase in serum claudin-3. Patients with decompensated LC had significantly higher NLR, MLR, RPR, and MPR than those with compensated LC (p

Published
2025
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