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Your search keyword '"Ndiaye, Papa"' showing total 19 results
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19 results on '"Ndiaye, Papa"'

1. ECC Analyzer: Extract Trading Signal from Earnings Conference Calls using Large Language Model for Stock Performance Prediction

Author

Cao, Yupeng, Chen, Zhi, Pei, Qingyun, Lee, Nathan Jinseok, Subbalakshmi, K. P., and Ndiaye, Papa Momar

Subjects
Computer Science - Computational Engineering, Finance, and Science, Computer Science - Artificial Intelligence, Computer Science - Computation and Language, Quantitative Finance - Risk Management, Quantitative Finance - Trading and Market Microstructure
Abstract

In the realm of financial analytics, leveraging unstructured data, such as earnings conference calls (ECCs), to forecast stock volatility is a critical challenge that has attracted both academics and investors. While previous studies have used multimodal deep learning-based models to obtain a general view of ECCs for volatility predicting, they often fail to capture detailed, complex information. Our research introduces a novel framework: \textbf{ECC Analyzer}, which utilizes large language models (LLMs) to extract richer, more predictive content from ECCs to aid the model's prediction performance. We use the pre-trained large models to extract textual and audio features from ECCs and implement a hierarchical information extraction strategy to extract more fine-grained information. This strategy first extracts paragraph-level general information by summarizing the text and then extracts fine-grained focus sentences using Retrieval-Augmented Generation (RAG). These features are then fused through multimodal feature fusion to perform volatility prediction. Experimental results demonstrate that our model outperforms traditional analytical benchmarks, confirming the effectiveness of advanced LLM techniques in financial analysis., Comment: 9 pages, 1 figures, 2 tables

Published
2024

2. RiskLabs: Predicting Financial Risk Using Large Language Model Based on Multi-Sources Data

Author

Cao, Yupeng, Chen, Zhi, Pei, Qingyun, Dimino, Fabrizio, Ausiello, Lorenzo, Kumar, Prashant, Subbalakshmi, K. P., and Ndiaye, Papa Momar

Subjects
Quantitative Finance - Risk Management, Computer Science - Artificial Intelligence, Computer Science - Computational Engineering, Finance, and Science, Computer Science - Machine Learning, Quantitative Finance - Portfolio Management
Abstract

The integration of Artificial Intelligence (AI) techniques, particularly large language models (LLMs), in finance has garnered increasing academic attention. Despite progress, existing studies predominantly focus on tasks like financial text summarization, question-answering (Q$\&$A), and stock movement prediction (binary classification), with a notable gap in the application of LLMs for financial risk prediction. Addressing this gap, in this paper, we introduce \textbf{RiskLabs}, a novel framework that leverages LLMs to analyze and predict financial risks. RiskLabs uniquely combines different types of financial data, including textual and vocal information from Earnings Conference Calls (ECCs), market-related time series data, and contextual news data surrounding ECC release dates. Our approach involves a multi-stage process: initially extracting and analyzing ECC data using LLMs, followed by gathering and processing time-series data before the ECC dates to model and understand risk over different timeframes. Using multimodal fusion techniques, RiskLabs amalgamates these varied data features for comprehensive multi-task financial risk prediction. Empirical experiment results demonstrate RiskLab's effectiveness in forecasting both volatility and variance in financial markets. Through comparative experiments, we demonstrate how different data sources contribute to financial risk assessment and discuss the critical role of LLMs in this context. Our findings not only contribute to the AI in finance application but also open new avenues for applying LLMs in financial risk assessment., Comment: 24 pages, 7 figures, 5 tables, 1 algorithm

Published
2024

3. Synthesis of Polyglobalide by Enzymatic Ring Opening Polymerization Using Pressurized Fluids

Author

Guindani, Camila, Jaramillo, Wilfred A. G., Candiotto, Graziâni, Rebelatto, Evertan A., Tavares, Frederico W., Pinto, José Carlos, Ndiaye, Papa M., and Nele, Márcio

Subjects
Physics - Chemical Physics
Abstract

Here, the synthesis of polyglobalide (PGl) by enzymatic ring-opening polymerization (e-ROP) is investigated, using pressurized carbon dioxide (CO2), pressurized CO2 + dichloromethane (DCM), and pressurized propane as solvents. Particularly, the effects of phase equilibrium on the course of e-ROP and PGl final properties are discussed. The partition coefficients of CO2, DCM, propane, globalide and PGl were calculated with help of thermodynamic models, providing proper understanding of monomer partitioning in the reaction system. Reactions performed in pure CO2 resulted in monomer conversions of 100%. Besides, when only one liquid phase was present inside the reactor, PGl samples presented low polydispersities and high average molecular weights. When carried out in CO2 + DCM, e-ROP resulted in lower monomer conversions and PGl samples with higher polydispersities and lower average molecular weights. Finally, reactions carried out in pressurized propane (200 bar) produced PGl samples with the highest average molecular weights among the analyzed products., Comment: 41 pages, 9 figures, 8 tables

Published
2024
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5. History and Current State of Neurosurgery in the Gambia

Author

Bah, Momodou G., Elahi, Cyrus, Vaughan, Kerry A., Dampha, Lamin, Manneh, Ebrima K., Jabang, Isaac, Zainab, Jallow, Badiane, Seydou B., Thiam, Alioune B., Ndiaye, Papa I., Gaye-Sakho, Mayguette, Nyan, Ousman, Roberts, Charles A., Gail, Rosseau, Dilan, Ellegala, Lawton, Michael T., Youssoupha, Sakho, and Jabang, John N.

Published
2024
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9. Tropical field stations yield high conservation return on investment

Author

Eppley, Timothy M., primary, Reuter, Kim E., additional, Sefczek, Timothy M., additional, Tinsman, Jen, additional, Santini, Luca, additional, Hoeks, Selwyn, additional, Andriantsaralaza, Seheno, additional, Shanee, Sam, additional, Fiore, Anthony Di, additional, Setchell, Joanna M., additional, Strier, Karen B., additional, Abanyam, Peter A., additional, Mutalib, Aini Hasanah Abd, additional, Abwe, Ekwoge, additional, Ahmed, Tanvir, additional, Ancrenaz, Marc, additional, Andriantsimanarilafy, Raphali R., additional, Ang, Andie, additional, Aureli, Filippo, additional, Barrett, Louise, additional, Beehner, Jacinta C., additional, Benítez, Marcela E., additional, Bezerra, Bruna M., additional, Bicca‐Marques, Júlio César, additional, Bikaba, Dominique, additional, Bitariho, Robert, additional, Boesch, Christophe, additional, Bolt, Laura M., additional, Boonratana, Ramesh, additional, Butynski, Thomas M., additional, Canale, Gustavo R., additional, Carvalho, Susana, additional, Chapman, Colin A., additional, Chetry, Dilip, additional, Cheyne, Susan M., additional, Cords, Marina, additional, Cornejo, Fanny M., additional, Cortés‐Ortiz, Liliana, additional, Coudrat, Camille N. Z., additional, Crofoot, Margaret C., additional, Cronin, Drew T., additional, Dadjo, Alvine, additional, Dakpogan, S. Chrystelle, additional, Danquah, Emmanuel, additional, Davenport, Tim R. B., additional, de Jong, Yvonne A., additional, de la Torre, Stella, additional, Dempsey, Andrea, additional, Dimalibot, Judeline C., additional, Dolch, Rainer, additional, Donati, Giuseppe, additional, Estrada, Alejandro, additional, Farassi, Rassina A., additional, Fashing, Peter J., additional, Fernandez‐Duque, Eduardo, additional, da Silva, Maria J. Ferreira, additional, Fischer, Julia, additional, Flores‐Negrón, César F., additional, Fruth, Barbara, additional, Neba, Terence Fuh, additional, Gamalo, Lief Erikson, additional, Ganzhorn, Jörg U., additional, Garber, Paul A., additional, Gnanaolivu, Smitha D., additional, Gonder, Mary Katherine, additional, Bi, Sery Ernest Gonedelé, additional, Goossens, Benoit, additional, Gordo, Marcelo, additional, Guayasamin, Juan M., additional, Guzmán‐Caro, Diana C., additional, Halloran, Andrew R., additional, Hartel, Jessica A., additional, Heymann, Eckhard W., additional, Hill, Russell A., additional, Hockings, Kimberley J., additional, Hohmann, Gottfried, additional, Hon, Naven, additional, Houngbédji, Mariano G., additional, Huffman, Michael A., additional, Ikemeh, Rachel A., additional, Imong, Inaoyom, additional, Irwin, Mitchell T., additional, Izar, Patrícia, additional, Jerusalinsky, Leandro, additional, Kalema‐Zikusoka, Gladys, additional, Kaplin, Beth A., additional, Kappeler, Peter M., additional, Kivai, Stanislaus M., additional, Knott, Cheryl D., additional, Kolasartsanee, Intanon, additional, Koops, Kathelijne, additional, Kowalewski, Martin M., additional, Kujirakwinja, Deo, additional, Kumar, Ajith, additional, Le, Quyet K., additional, Lewis, Rebecca J., additional, Lin, Aung Ko, additional, Link, Andrés, additional, Loría, Luz I., additional, Lormie, Menladi M., additional, Louis, Edward E., additional, Lwin, Ngwe, additional, Maisels, Fiona, additional, Malaivijitnond, Suchinda, additional, Marisa, Lesley, additional, McCabe, Gráinne M., additional, McGraw, W. Scott, additional, Mekonnen, Addisu, additional, Méndez‐Carvajal, Pedro G., additional, Minhós, Tânia, additional, Montgomery, David M., additional, Morelos‐Juárez, Citlalli, additional, Morgan, Bethan J., additional, Morgan, David, additional, Etingüe, Amancio Motove, additional, Ndiaye, Papa Ibnou, additional, Nekaris, K. Anne‐Isola, additional, Nguyen, Nga, additional, Nijman, Vincent, additional, Nishuli, Radar, additional, Norconk, Marilyn A., additional, Oklander, Luciana I., additional, Oktaviani, Rahayu, additional, Ostner, Julia, additional, Otali, Emily, additional, Perry, Susan E., additional, Ramos, Eduardo J. Pinel, additional, Porter, Leila M., additional, Pruetz, Jill D., additional, Pusey, Anne E., additional, Queiroz, Helder L., additional, Ramírez, Mónica A., additional, Randriatahina, Guy Hermas, additional, Rasoanaivo, Hoby, additional, Ratsimbazafy, Jonah, additional, Ratsirarson, Joelisoa, additional, Razafindramanana, Josia, additional, Razafindratsima, Onja H., additional, Reynolds, Vernon, additional, Rizaldi, Rizaldi, additional, Robbins, Martha M., additional, Rodríguez, Melissa E., additional, Rosales‐Meda, Marleny, additional, Sanz, Crickette M., additional, Sarkar, Dipto, additional, Savage, Anne, additional, Schreier, Amy L., additional, Schülke, Oliver, additional, Segniagbeto, Gabriel H., additional, Serio‐Silva, Juan Carlos, additional, Setiawan, Arif, additional, Seyjagat, John, additional, Silva, Felipe E., additional, Sinclair, Elizabeth M., additional, Smith, Rebecca L., additional, Spaan, Denise, additional, Stewart, Fiona A., additional, Strum, Shirley C., additional, Surbeck, Martin, additional, Svensson, Magdalena S., additional, Talebi, Mauricio, additional, Tédonzong, Luc Roscelin, additional, Urbani, Bernardo, additional, Valsecchi, João, additional, Vasey, Natalie, additional, Vogel, Erin R., additional, Wallace, Robert B., additional, Wallis, Janette, additional, Waters, Siân, additional, Wittig, Roman M., additional, Wrangham, Richard W., additional, Wright, Patricia C., additional, and Mittermeier, Russell A., additional

Published
2024
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13. Eyelid Wounds: Epidemiological, Clinical and Etiological Aspects

Author

Mbara Ka, Aly, primary, Pierre Diagne, Jean, additional, Aw, Aissatou, additional, Malick Sy, El Hadji, additional, Mbaye, Soda, additional, Madina Diallo, Hawo, additional, Samra, Audrey, additional, Sadikh Sow, Aboubacry, additional, Mass Ndiaye, Joseph Matar, additional, Ndiaga Senghor, Ousmane, additional, Ndiaye, Lamine, additional, Ndiaye, Mohamed, additional, Sohibou Gaye, Serigne, additional, and Amadou Ndiaye, Papa, additional

Published
2024
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15. Savannah chimpanzee (Pan troglodytes verus) nesting behavior in the unprotected area of Tikankali near to a mining exploitation and the Niokolo Koba National Park in Senegal.

Author

Diallo, Dame, Ndiaye, Papa Ibnou, Badji, Landing, Pruetz, Jill D., Kone, Inza, and Matsuzawa, Tetsuro

Subjects
NEST building, CHIMPANZEES, NATIONAL parks & reserves, ANTHROPOGENIC effects on nature, GOLD mining, GOLD industry
Abstract

This work focuses on the nesting behavior of the West African chimpanzee (Pan troglodytes verus) in the anthropized habitats of the village of Tikankali and its surroundings. Studies on chimpanzee nesting behavior are carried out at several sites of Senegal but never in Tikankaly. Thus, proximity with the Niokolo Koba National Park and the presence of a gold mining industry mean that data on chimpanzee nesting behavior and anthropogenic impacts in their habitats for decisions-making about chimpanzee conservation in this area. We recorded a total of 213 chimpanzee nests during two surveys over a distance of 47.81 km (i.e., 47.81 km x 2). Data were collected in October 2020 and October 2021. The majority of nests (63%) were found in wooded savannah, 19% in bamboo savannah, 09% in gallery forest and 07% in open forest. The results showed that 22 plant species belonging to 08 families are used for chimpanzee nests in and around Tikankali. However, half of the nests were in Pterocarpus erinaceus (53%); followed by Hexalobus monopetalus (8%); Diospyros mespiliformis (6%), Piliostigma thonningii (6%), Lannea acida (6%); and Grewia bicolor (4%). The average height of trees used as chimpanzee nest supports was 9.88 m (SD=3.60) and the average height of nests was 7.46 m (SD=3.23). Linear regression analysis (r=0.84; N=213; p< 0.05) suggested a preference for nesting at a particular height but also that nest height is a function of the supporting tree's height. The current study contributes to the knowledge of chimpanzee nesting behavior in Tikankali, the anthropogenic disruption and will help in the implementation of a good chimpanzee management and conservation strategy in Senegal. [ABSTRACT FROM AUTHOR]

Published
2024
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16. Evaluation and calibration of alternative methods for estimating reference evapotranspiration in the main hydrosystems of Senegal: Senegal, Gambia and Casamance River Basins.

Author

Bodian, Ansoumana, Ndiaye, Papa Malick, Diop, Serigne Bassirou, Diop, Lamine, Dezetter, Alain, Ogilvie, Andrew, and Djaman, Koffi

Subjects
EVAPOTRANSPIRATION, WATERSHEDS, WATER supply, CALIBRATION, HYDROLOGIC models, CLIMATE change
Abstract

Reference evapotranspiration (ET 0) is an essential parameter for hydrological modeling, irrigation planning and for studying the impacts of climate change on water resources. The Penman–Monteith method is recommended for estimating ET 0 under all climatic conditions, but its application is limited in regions where data is difficult to access. The alternative is to use methods that incorporate fewer climatic parameters. The objective of this work is to evaluate twenty alternative methods using few climate parameters of estimating ET 0 and to calibrate/validate the best ones in order to adapt them to the climatic context of the main hydrosystems of Senegal: Senegal, Gambia and Casamance river basins. The KGE and the PBIAS were used to evaluate the performance of the methods. The results show that after calibration/validation the methods of Trabert, Hargreaves, Hargreaves & Samani, Trajkovic and Oudin are the best on for the estimation of the reference evapotranspiration in the Senegal, Gambia and Casamance River Basins. [ABSTRACT FROM AUTHOR]

Published
2024
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17. Trend analysis of reference evapotranspiration and climate variables in the main hydrosystems of Senegal: Senegal, Gambia and Casamance River Basins.

Author

Ndiaye, Papa Malick, Bodian, Ansoumana, Diop, Serigne Bassirou, Diop, Lamine, Dezetter, Alain, Ogilvie, Andrew, and Djaman, Koffi

Subjects
TREND analysis, EVAPOTRANSPIRATION, SOLAR radiation, WIND speed, WATER supply
Abstract

Analysis of reference evapotranspiration (ET 0) trends is essential for understanding the impacts of climate change on water resources. Thus, despite the continuous rise in temperatures, a decrease in evapotranspiration is noted in some parts of the world. This contrast is called the "evaporation paradox" and is thought to be related to the variation in wind speed, relative humidity and solar radiation. The objective of this work is to analyze the annual and seasonal trends of ET 0 and climate variables at the scale of the Senegal, Gambia and Casamance river basins. The reanalyze data of NASA/POWER are used over the period 1984–2019. Mann Kendall's test and Sen slope were used to analyze trends in ET 0 and climate variables. Results show that on annual scale, ET 0 increases significantly in 32 % of the Senegal basin and decreases in less than 1 % of it. In contrast, in the Casamance and Gambia basins, the annual ET 0 drops by 65 % and 18 %, respectively. On an annual scale, temperature and relative humidity show an increasing trend over all basins while wind speed and radiation decrease significantly. This confirms the existence of the "evaporation paradox" in the three basins. This phenomenon is explained by the increase in relative humidity and the decrease in wind speed and solar radiation. [ABSTRACT FROM AUTHOR]

Published
2024
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18. Phase Behavior Data of (CO2+ Toluene + Phenanthrene) and (CO2+ (Methanol + Phenanthrene) Systems at High Pressure

Author

Braga, Arthur J. O., do Carmo, Rafael P., Ndiaye, Papa M., and Tavares, Frederico W.

Abstract

In this work, the phase equilibrium data of the ternary systems (CO2+ toluene + phenanthrene) and (CO2+ methanol + phenanthrene) at high pressure are reported. The static synthetic method, with a new design of a variable-volume view cell, was used to obtain the vapor liquid (VL) and solid–liquid (SL) transition data in a temperature range of (274 to 363) K and pressures up to 16 MPa. For the ternary system (CO2/toluene/phenanthrene), the mole fractions of carbon dioxide varied from (0.6 to 0.90) with two toluene to phenanthrene molar ratios of (6/1) and (12/1). For the system (CO2/methanol/phenanthrene) the CO2molar fractions varied from 0.33 to 0.75 with methanol to phenanthrene molar ratios of (150/1) and (250/1). For these two ternary systems, (vapor + liquid), and (solid + liquid) transitions were observed. Results shows that carbon dioxide acts as antisolvent for the system toluene/phenanthrene and as cosolvent for the systems methanol/phenanthrene.

Published
2024
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19. Assessment of Artificial Intelligence software for automatic screening of Diabetic Retinopathy based on fundus photographs in Melanoderm subjects.

Author

Mbaye S, Aw A, Malick Sy EH, Mbara Ka A, Diagne JP, Diallo HM, Samra A, and Ndiaye PA

Abstract

Purpose: To assess the Gaiha Prio Retino +™Artificial Intelligence (AI) software for detecting diabetic retinopathy (DR)., Methods: This prospective study was conducted from March 1, 2021 to September 30, 2022 in the Ophthalmology department of the Abass NDAO Hospital (Dakar, Senegal). The clinical classification of DR was based on American Academy of Ophthalmology's. The clinical results were compared to those obtained from the automated reading of retinophotos taken using Gaiha Prio Retino +™, a software designed to detect DR., Results: The study covered 305 eyes. Referable DR was observed in 104 eyes by the ophthalmologist and in 96 eyes by AI, corresponding with a sensitivity of 92.31%, a specificity of 99%, and an area under the curve (AUC) of 0.989. Vision-threatening DR was detected in 102 eyes by the ophthalmologist and in 94 eyes by AI, with a corresponding sensitivity of 92.16%, specificity of 99.01%, and an AUC of 0.975. Maculopathy was identified in 93 eyes by the ophthalmologist and in 89 eyes by AI, with a corresponding sensitivity of 95.7%, specificity of 97.17%, and an AUC of 0.988., Conclusion: Considering these results, we may conclude that Gaiha Prio Retino +™ is an effective tool for screening referable DR.

Published
2024
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