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    Breast Cancer Series: Hormone Therapy by Karen C. Daily, Martha C. Monroe

    Published 2011-06-01
    “…Women who are at high risk of getting breast cancer and women who have had breast cancer may be prescribed daily oral medications to block the estrogen receptor site or decrease the production of estrogen. …”
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    Breast Cancer Series: Hormone Therapy by Karen C. Daily, Martha C. Monroe

    Published 2011-06-01
    “…Women who are at high risk of getting breast cancer and women who have had breast cancer may be prescribed daily oral medications to block the estrogen receptor site or decrease the production of estrogen. …”
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    Article
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    Daily allocation of energy consumption forecasting of a power distribution company using optimized least squares support vector machine by Marzia Ahmed, Mohd Herwan Sulaiman, Md. Maruf Hassan, Md. Atikur Rahaman, Mohammad Bin Amin

    Published 2025-03-01
    “…This study presents a novel approach for optimal allocation forecasting of energy consumption in a power distribution company, utilizing the Least Squares Support Vector Machine (LSSVM) optimized by novel variants of the Barnacle Mating Optimizer (BMO) such as the new Gooseneck Barnacle Optimizer and Selective Opposition-based constrained BMO. …”
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    Variability of daily feed intake as an indicator of resilience in Pietrain pigs by C. Casto-Rebollo, P. Nuñez, S. Gol, J. Reixach, N. Ibáñez-Escriche

    Published 2025-02-01
    “…However, there is no consensus on which DFI-based RIs are the most informative. The objectives of this study were: (i) to evaluate the most common DFI-based RIs and their relationships with feed efficiency traits (FETs), (ii) to investigate the relationship between these indicators and progeny mortality rates on commercial farms, and (iii) to gain insight into their biological mechanisms. …”
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    Comparative assessment of empirical and hybrid machine learning models for estimating daily reference evapotranspiration in sub-humid and semi-arid climates by Siham Acharki, Ali Raza, Dinesh Kumar Vishwakarma, Mina Amharref, Abdes Samed Bernoussi, Sudhir Kumar Singh, Nadhir Al-Ansari, Ahmed Z. Dewidar, Ahmed A. Al-Othman, Mohamed A. Mattar

    Published 2025-01-01
    “…The ML models examined include Random Forest (RF), M5 Pruned (M5P), eXtreme Gradient Boosting (XGBoost), and Light Gradient Boosting Machine (LightGBM), with hybrid combinations of RF-M5P, RF-XGBoost, RF-LightGBM, and XGBoost-LightGBM. …”
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    Frequency Analysis of Daily Droughts in Iran by Using Effective Drought Index by firooz mojarad, razieh kheiri, Zahra Noorisameleh

    Published 2015-03-01
    “…However, maximum total frequency of daily droughts (mild to most severe) is observed in the east and center parts. …”
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    Comparison of artificial neural network models of categorized daily electric load by Vildan Evren, İlker Ali Ozkan

    Published 2021-04-01
    “…The efficient operation of power systems and future planning, electricity load forecast is very important. Load estimation is based on predicting future electric load by examining past conditions. …”
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    Daily home monitoring of potassium, creatinine, and estimated plasma volume in heart failure post‐discharge by Patrick Rossignol, Renaud Fay, Nicolas Girerd, Faiez Zannad

    Published 2020-06-01
    “…Whether acting on these events may help optimizing renin angiotensin aldosterone system inhibitors and diuretic therapy warrants further dedicated testing. The ongoing HERMES HF study (NCT04050904) is assessing the short‐term feasibility and safety of such a monitoring strategy, complemented by a decision support system, and generating recommendations based on ESC clinical guidelines in patients discharged after an episode of worsening heart failure with reduced ejection fraction.…”
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    Using Statistical Model to Study the Daily Closing Price Index in the Kingdom of Saudi Arabia (KSA) by Hassan M. Aljohani, Azhari A. Elhag

    Published 2021-01-01
    “…The closing price is the last regular deal that took place during the continuous trading period. …”
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    Effects of Calliandra and Sesbania on Daily Milk Production in Dairy Cows on Commercial Smallholder Farms in Kenya by D. N. Makau, J. A. VanLeeuwen, G. K. Gitau, S. L. McKenna, C. Walton, J. Muraya, J. J. Wichtel

    Published 2020-01-01
    “…Feeding Calliandra/Sesbania to cows was associated (P<0.0005) with an increase in milk produced by at least 1 liter/cow/day with each kg fed. Other variables positively associated with ln daily milk production in the final model included feeding of Napier grass, amount of silage and dairy meal fed, body condition score, and appetite of the cow. …”
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    Identification of RNA Editing Sites Reveals Functional Modifications with the Addition of Methionine to the Daily Rations of Yaks by Shiyu Wu, Xinrui Liu, Yaxin Liu, Shikai Wang, Wei Peng, Ming Zhang, Binglin Yue, Hui Wang, Jikun Wang, Jincheng Zhong, Fang Sun, Yixi Kangzhu, Jiabo Wang

    Published 2025-01-01
    “…A total of 1116 editing sites were identified by at least two software; the editing site types were mainly T-to-C and A-to-G mutations. …”
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    Potential of fermented rumen content of cow feed on daily egg productivity and quality of yolk color of quail egg (Cortunix cortunix japonica) by Moh. Zaky ‘Ubaidillah, Mohammad Anam Al Arif, Tatik Hernawati, Koesnoto Supranianondo, Emy Koestanti Sabdoningrum, Widya Paramita Lokapirnasari

    Published 2024-12-01
    “…(T0) formulation feed without fermented rumen contents, (T1) formulation feed + 5% fermented rumen content, (T2) formulation feed + 10% fermented rumen content, (T3) formulation feed + 15% fermented rumen content. Samples are observed daily for daily egg production and the last week for egg yolk quality. …”
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    Multi-source meteorological data assessment on daily runoff simulation in the upper reaches of the Hei River, Northwest China by Huazhu Xue, Yaheng Wang, Guotao Dong, Chenchen Zhang, Yaokang Lian, Hui Wu

    Published 2025-02-01
    “…Furthermore, a comparative assessment of simulation results based on multi-source meteorological data demonstrates that daily runoff simulations using meteorological station observation data yield the best results, indicating the highest applicability of this data source. …”
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