The Ecological Model of Pastures Zoning of Kurdistan Province Emphasizing on the Climatic Elements of Temperature and Precipitation by Gholamali Mozafari, Farshad Safarpour

“…The results of the study showed that using the different informational layers corresponding ecological needs of pasture plants is an optimal method for providing an appropriate classification of pastures. 37824.2 hectare out of 2904642.7 hectare of the total area of Kurdistan province were classified as good with an exponentiation of degree 1, while 402891.3 hectare were classified as medium with an exponentiation of degree 2 and 411897.1 as poor with an exponentiation of degree 3.…”
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Uncertainty and Sensitivity Analysis of Significant Parameters for Superlarge Diameter Shield Excavation by Elton J. Chen, Yang-Yang Chen, Lin-Chun Wei, Han-Bin Luo

“…Here, we pay close attention to the most influential parameters that require priority parameter control, which can help administrators optimize the management of shield parameters during tunnel excavation.…”
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Creation of a novel zebrafish model with low DHA status to study the role of maternal nutrition during neurodevelopment by Katherine M. Ranard, Bruce Appel

“…Future work using our zebrafish model could reveal the cellular and molecular mechanisms by which low DHA status leads to neurodevelopmental abnormalities, and provide insight into maternal nutritional strategies that optimize infant brain health.…”
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Analisis Penerapan Upaya Pencapaian Standar Sasaran Keselamatan Pasien Bagi Profesional Pemberi Asuhan Dalam Peningkatan Mutu Pelayanan di Rawat Inap RSUP Dr. M. Djamil Padang Tahu... by Anna Faluzi, Rizanda Machmud, Yulastri Arif

“…Budaya keselamatan pasien, budaya pelaporan IKP, serta kepatuhan profesional pemberi asuhan dalam implementasi SKP belum optimal, rata-rata capaian 89%. Output belum sesuai target 100%, masih terdapat KTD dan KNC. …”
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A comprehensive review on early detection of drusen patterns in age-related macular degeneration using deep learning models by Kiruthika M, Malathi G

“…Furthermore, the existing models have difficulty in correctly predicting the drusen regions because of the resolution of fundus images, for which a solution is proposed as a model based on deep learning. Performance can be optimized by employing both local and global knowledge when AMD issues are still in the early phases. …”
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All-Textile Compact Ultra-Wideband Microstrip Antenna with Full Ground Plane for WBAN Applications by Jinxin Du, Ruimeng Wang, Haiyan Li, Xue-Xia Yang, Christophe Roblin

“…The antenna incorporates flexible materials such as felt and conductive fabrics which provide optimal wearing comfort and durability. The use of a single dielectric substrate layer facilitates the integration process. …”
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Heart Shaped Anterior Neck Lipoma Mimicking Thyroid Mass: A Case Report by Abdus Samad Ansari, Dhiraj Chaurasia, Bikash Yadav, Season Shrestha, Inku Shrestha Basnet

“…Awareness of anterior neck lipoma is vital among clinicians for early diagnosis and optimal management. Early suspicion of this prevalent condition in the given unusual location can guide them towards appropriate diagnostic approach and treatment decisions, ultimately improving patient outcomes and reducing diagnostic complexity for healthcare professionals.…”
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STRATEGIES OF RUSSIAN VERTICALLY INTEGRATED OIL COMPANIES IN THE GLOBAL MARKET by V. I. Golomedov

“…Development of the global market brings processes of vertical integration to the international level, therefore one of the most urgent challenges facing the modern Russian vertically integrated oil companies is development of the new optimized strategy corresponding to global challenges and national priorities. …”
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Small-holder Goat Farmer Profile Demographic-based on Financial Aspect in Majene Regency, West Sulawesi Province by Muhammad Iqbal Rivai, Tanrigiling Rasyid

“…For goat farmers who consider traditional methods to optimize efficiency, counseling and training are needed. …”
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Dynamic Modulus Prediction of a High-Modulus Asphalt Mixture by Chaohui Wang, Songyuan Tan, Qian Chen, Jiguo Han, Liang Song, Yi Fu

“…The purpose is to achieve the accurate prediction of the dynamic modulus of the high-modulus asphalt mixture and further optimize the design process of the high-modulus asphalt mixture. …”
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An Overview on the Role of Relative Humidity in Airborne Transmission of SARS-CoV-2 in Indoor Environments by Ajit Ahlawat, Alfred Wiedensohler, Sumit Kumar Mishra

“…Based on earlier studies, a relative humidity of 40–60% was found to be optimal for human health in indoor places. Thus, it is extremely important to set a minimum relative humidity standard for indoor environments such as hospitals, offices and public transports for minimization of airborne spread of SARS-CoV-2.…”
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Volatile Organic Compounds for the Prediction of Lung Cancer by Using Ensembled Machine Learning Model and Feature Selection by Divya Khanna, Arun Kumar, Shahid Ahmad Bhat

“…The idea behind designing one ensemble model is to combine multiple individual models for better performance by using optimal feature sets. This reasoning led to the design of an ensemble model to predict breath VOCs. …”
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Polycarbonate Microchip Containing CuBTC-Monopol Monolith for Solid-Phase Extraction of Dyes by Eman Alzahrani

“…Various parameters (desorption and extraction step flow rates, volume of desorption solvent, volume of sample, and type of desorption solvent) were examined to optimize dye extraction using fabricated microchips. …”
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Cutaneous Neuroendocrine Metastases of Visceral Origin Responsive to Surgical Resection and Targeted Radionuclide Therapy by Eleanor Tung-Hahn, Ghassan El-Haddad, Jonathan Strosberg

“…Due to the rare nature of cutaneous NET metastases, there is no consensus regarding optimal management. As such, we propose novel multimodal therapy involving excision and targeted radionuclide therapy as a possible effective option.…”
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Сhallenges of the modern model of formation and implementation of the Russian state innovation policy by A. N. Gusarova, D. Yu. Znamenskiy

“…This is largely due to the symbolic (nominal) political demand for such development and the weak setting, optimal for the development of innovation, socio-political environment. …”
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Explainable correlation-based anomaly detection for Industrial Control Systems by Ermiyas Birihanu, Imre Lendák

“…This study proposes an explainable correlation-based anomaly detection method for ICS. The optimal window size of the data is determined using Long Short-Term Memory Networks—Autoencoder (LSTM-AE) and the correlation parameter set is extracted using the Pearson correlation. …”
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A comparative study of machine learning algorithms for fall detection in technology-based healthcare system: Analyzing SVM, KNN, decision tree, random forest, LSTM, and CNN by Afuan Lasmedi, Isnanto R. Rizal

“…Additionally, this research opens avenues for optimizing deep learning models and leveraging edge computing technologies to reduce response times in wearable device applications.…”
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Development of an Efficient Analytical Method for the Extraction and Analysis of Biocide Contents from the Textile Test Specimens on LC-DAD by Muhammad Jahangir, Uzman Khan

“…Pretreatment factors such as extraction solvent, extraction method, dilution ratio, and extraction time were optimized initially and plotted calibration curve showed regression (r2 ≥ 0.9995) in the range of 1.0–5.0 mg L−1. …”
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Billing rules / global period affect postoperative follow-up practices following total hip arthroplasty. by Philip P Ratnasamy, Oghenewoma P Oghenesume, Peter Y Joo, Jonathan N Grauer

“…<h4>Background</h4>Total hip arthroplasty (THA) is a common procedure following which postoperative visits are important to optimize outcomes. The associated global billing period includes the 90 postoperative days (or approximately 13 weeks), during which professional billing is included with the surgery itself. …”
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Interior design assistant algorithm based on indoor scene analysis by Lu Zhang

“…Accordingly, the objective of the research is to enhance the interior scene analysis algorithm in interior design, thereby optimizing its performance in the domain of computer vision. …”
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