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    Prediction by Sigmoid Multilayer Perceptron Artificial Neural Network Function and Model Selection for the Risk Factors Most Affected Human Immunodeficiency by Nazeera Sedeeq Kareem Barznji

    Published 2025-08-01
    “…Statistical analyses, including parameter estimation and variable importance ranking, revealed that X1: Genetic history had the most significant influence on immunity, followed by X5: Cancer treatments such as radiation therapy, X4: AIDS, X2: Diabetes, X3: Human Immunodeficiency Virus (HIV), and lastly, X6: Certain medications. …”
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    Amyotrophic Lateral Sclerosis: The Most Common And Lethal Form Of Motor Neuron Disease-a Case Report From Middle East by Waseem Mehmood Nizamani, Ameet Jesrani, Mujtaba Khan, Kalthoum Tlili, Nader Al Khuraish, Kashaf Anwar Arain

    Published 2019-06-01
    “…It is a devastating disease leading to death within 3-5 years in most cases. The diagnosis of AML is difficult to made in spite of acknowledgment for 140 years. …”
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    Relationships between yellow and purple passion fruit variables by Beatriz G. Lopes, Gabriela M. Rodrigues, Afrânio M. C. Vieira, Taciana V. Savian, Glaucia A. Faria

    Published 2024-03-01
    “…ABSTRACT Brazil is the world’s largest producer of passion fruit, with the species Passiflora edulis Sims (yellow and purple passion fruit) being the most popular commercially. Due to the great economic importance of this culture, seeking high productivity, phytotechnical quality, and maintenance of existing germplasms, among others, it is necessary to carry out studies of the most diverse types of this culture. …”
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    Variables Associated with Divorce in Northwest Georgia, 2007-2016 by Hassan A. El-Najjar

    Published 2017-08-01
    “…The study showed that marriage dissatisfaction and lack of readiness for marriage are the main factors, which explain divorce. The most frequently-mentioned variables were those related to infidelity, communication, abuse, financial problems, and conflict resolution.…”
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  10. 110

    Advances in Air–Sea Interactions, Climate Variability, and Predictability by Wei Zhang, Yulong Yao, Duo Chan, Jie Feng

    Published 2024-11-01
    “…Air–sea interaction remains one of the most dynamic and influential components of the Earth’s climate system, significantly shaping the variability and predictability of both weather and climate [...]…”
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    Polyautoimmunity Reflecting Immune Dysregulation in Common Variable Immunodeficiency by Maria Giovanna Danieli, Giuseppe Murdaca, Cristina Mezzanotte, Ilaria Claudi, Elena Buti, Matteo Martini, Maria Beatrice Bilò, Sebastiano Gangemi, Gianluca Moroncini

    Published 2025-02-01
    “…<b>Background</b>: Common variable immunodeficiency (CVID) is the most frequent symptomatic inborn error of immunity (IEI) in adulthood. …”
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  14. 114

    Assessing Sources of Variability in Microarray Gene Expression Data by Susan E. Spruill, Jun Lu, Sarah Hardy, Bruce Weir

    Published 2002-10-01
    “…Data obtained from a microarray experiment designed as a feasibility test provided a unique opportunity to partition and quantify several sources of variation that are likely to be present in most microarray experiments. We use this opportunity to discuss the origins of variability observed in microarray experiments and provide some suggestions for how to minimize or avoid them when designing an experiment.…”
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    Impact of Temperature Variability on the Caputo Fractional Malaria Model by Dawit Kechine Menbiko, Chernet Tuge Deressa

    Published 2025-03-01
    “…ABSTRACT Malaria is one of the most common illnesses in the world. This paper aims to analyze the age‐related characteristics of malaria in human hosts by exploring Caputo fractional‐order models with temperature variability. …”
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  17. 117

    Clouds Are Crucial to Capture Antarctic Sea Ice Variability by Grégory V. Cesana, Lettie A. Roach, Edward Blanchard‐Wrigglesworth

    Published 2025-02-01
    “…Finally, we find that most CMIP6 models show positive trends in CRE anomaly biases, which should contribute to enhanced SIA decline, a long‐standing bias in CMIP models.…”
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  18. 118

    High phenotypic variability in Gerstmann-Sträussler-Scheinker disease by Jerusa Smid, Adalberto Studart Neto, Michele Christine Landemberger, Cleiton Fagundes Machado, Paulo Ribeiro Nóbrega, Nathalie Henriques Silva Canedo, Rodrigo Rizek Schultz, Michel Satya Naslavsky, Sérgio Rosemberg, Fernando Kok, Leila Chimelli, Vilma Regina Martins, Ricardo Nitrini

    “…ABSTRACT Gerstmann-Sträussler-Scheinker is a genetic prion disease and the most common mutation is p.Pro102Leu. We report clinical, molecular and neuropathological data of seven individuals, belonging to two unrelated Brazilian kindreds, carrying the p.Pro102Leu. …”
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  19. 119

    Causality and cointegration analysis between macroeconomic variables and the Bovespa. by Fabiano Mello da Silva, Daniel Arruda Coronel, Kelmara Mendes Vieira

    Published 2014-01-01
    “…Regarding the Granger (1988) long-term causality, the results indicated a long-term behaviour among the macroeconomic variables with the BOVESPA. The results of the long-term normalized vector for the Bovespa variable showed that most signals of the cointegration equation parameters are in accordance with what is suggested by the economic theory. …”
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  20. 120

    Adaptation to climate variability and household welfare outcomes in Uganda by Peter Babyenda, Jane Kabubo-Mariara, Sule Odhiambo

    Published 2024-12-01
    “…Over the last one decade, most of the empirical studies on climate variability have largely concentrated on assessing the effect of climate variability on agriculture. …”
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