Bootstrapping ground state correlators in matrix theory. Part I by Henry W. Lin, Zechuan Zheng

“…Abstract The D0-brane/Banks-Fischler-Shenker-Susskind matrix theory is a strongly coupled quantum system with an interesting gravity dual. …”
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Les développements récents de la macroéconomie post-keynésienne by Angel Asensio, Sébastien Charles, Dany Lang, Edwin Le Heron

“…First, the main methodological innovations from the last decade are emphasized: endogenous money, the role of banks and of financial system, formalization of path-dependency and long-run dynamics and stock flow consistent models. …”
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A Molluscicidal Triterpenoid Saponin from the Fruits of Napoleonaea P. Beauv (Lecythidaceae) by Chukwunonye M Ojinnaka, Dorothy C Okpala

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Financial Networks by Benjamin Miranda Tabak, Thiago Christiano Silva, Ahmet Sensoy

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World War Two Simulated: Digital Games and Reconfigurations of the Past by Curtis D. Carbonell (University of Exeter Press, 2023) by Phil Hammond

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A Molluscicidal Triterpenoid Saponin from the Fruits of Napoleonaea P. Beauv (Lecythidaceae) by Chukwunonye M Ojinnaka, Dorothy C Okpala

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Anomalous Microwave Emission: Theory, Modeling, and Observations by Clive Dickinson, Roberta Paladini, Laurent Verstraete

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TOTAL SUSPENDED PARTICULATES FROM CRUDE OIL SPILL by OYETUNJI BABATUNDE OKEDERE, ADEWOLE JOHNSON ADESANMI, JACOB ADEMOLA SONIBARE, OLUSOLA ADEDAYO ADESINA, GBADEBO OMONIYI ADENIYI

“…The observed TSP concentrations breached the WHO (lower limit) and World Bank limits at all temperatures and over all spill media and consequently the toxicity potentials exceeded 1.0 which were indications of hazards to human health. …”
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Design and Simulation of a PV System Operating in Grid-Connected and Stand-Alone Modes for Areas of Daily Grid Blackouts by Moien A. Omar, Marwan M. Mahmoud

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The prevalence and immune response to coinfection by avian haemosporidians in wild Eurasian blackbirds Turdus merula by Ellie Lebeau, Jenny C. Dunn

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Measurement and predictors of the financial performance of public health enterprises in Italy by Peter PERGER, Achim HECKER

“…Our approach may also be useful for banks and credit institutions, or hospital pharmaceutical and medical device suppliers in estimating financial risks associated with their counterparty.…”
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Teaching Pharmacy Undergraduate Students Inhaler Device Technique and Exploring Factors Affecting Maintenance of Technique by Mariam Toumas-Shehata, Mark Henricks, Ludmila Ovchinikova, Lorraine Smith, Sinthia Bosnic-Anticevich

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Advancing inclusive research calculator for oncology disease areas: A resource to support the development of enrollment targets in diversity action plans for industry sponsors. by David J Press, Spencer L James, Bruno Jolain, Nicole Richie

“…Robustness test results are available in the data query bank by year of diagnosis.<h4>Results</h4>This resource offers insights into distributions of cancer in the US. …”
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Innovative Approach to the Optimal Distribution of Citizens’ Pension Savings to Non-State Pension Funds by Evgeniy Kostyrin, Stepan Drynkin

“…The study’s information and empirical foundation comprised current regulatory legal acts, data from the Federal State Statistics Service (Rosstat), open data from the Central Bank of the Russian Federation (Bank of Russia), analysis of information sources on the activities of domestic NPFs, results of empirical studies by domestic and foreign authors, and information obtained from open sources on the profitability of 22 NPFs of the Russian Federation. …”
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GIS BASED DECISION SUPPORT SYSTEM FOR SEISMIC RISK IN BUCHAREST. CASE STUDY – THE HISTORICAL CENTRE by DIANA GHEORGHE, IULIANA ARMAS

“…The results show that several buildings can be used as a shelter and among these are ‘Creditul Roman’ Bank Palace, the National History Museum and the National Bank of Romania. …”
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Preliminary Evaluation of Some Engineering Geological Properties of Soils in the New Yenagoa Town, Bayelsa State, Central Niger Delta by PO Youdeowei, HO Nwankwoala

“…Therefore, adequate attention should be given to the likely physical environmental degradation of river bank failure and liquefaction condition that may evolve as a result of dredging/reclamation work in the area. …”
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A Credit Card Fraud Detection Algorithm Based on SDT and Federated Learning by Yuxuan Tang, Zhanjun Liu

“…Second, addressing the complex financial environment and concerns about financial data privacy, we introduce a federated learning architecture to deploy the SDT model across different banks in a distributed manner. Momentum updates are used for model parameter updates during training, which enhance model performance and ensure data privacy between banks. …”
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ISLAMIC ECONOMY IN «ISLAMIC STATE»: IS IT POSSIBLE? by R. I. Bekkin

“…For traditionalists, such institutions as Islamic banks, etc., formed in the second half of the XX century, are often unauthorized innovations (bida’).…”
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Preliminary Evaluation of Some Engineering Geological Properties of Soils in the New Yenagoa Town, Bayelsa State, Central Niger Delta by PO Youdeowei, HO Nwankwoala

“…Therefore, adequate attention should be given to the likely physical environmental degradation of river bank failure and liquefaction condition that may evolve as a result of dredging/reclamation work in the area. …”
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Research on credit card transaction security supervision based on PU learning by Renfeng CHEN, Hongbin ZHU

“…The complex and ever-evolving nature of credit card cash out methods and the emergence of various forms of fake transactions present challenges in obtaining accurate transaction information during customer interactions.In order to develop an accurate supervision method for detecting fake credit card transactions, a PU (positive-unlabeled learning) based security identification model for single credit card transactions was established.It was based on long-term transaction label data from cashed-up accounts in commercial banks’ credit card systems.A Spy mechanism was introduced into sample data annotation by selecting million positive samples of highly reliable cash-out transactions and 1.3 million samples of transactions to be labeled, and using a learner to predict the result distribution and label negative samples of non-cash-out transactions that were difficult to identify, resulting in 1.2 million relatively reliable negative sample labels.Based on these samples, 120 candidate variables were constructed, including credit card customer attributes, quota usage, and transaction preference characteristics.After importance screening of variables, nearly 50 candidate variables were selected.The XGBoost binary classification algorithm was used for model development and prediction.The results show that the proposed model achieve an identification accuracy of 94.20%, with a group stability index (PSI) of 0.10%, indicating that the single credit card transaction security identification model based on PU learning can effectively monitor fake transactions.This study improves the model discrimination performance of machine learning binary classification algorithm in scenarios where high-precision sample label data is difficult to obtain, providing a new method for transaction security monitoring in commercial bank credit card systems.…”
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