Measuring effective indicators for waste disposal in order to assess the sustainable environment: application of fuzzy approach by Mohammad Hossein Kabgani

“…The selection of a landfill site in an urban area is a critical issue due to the involvement of many parameters. …”
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Urban monitoring, evaluation and application of COVID-19 listed vaccine effectiveness: a health code blockchain study by Tao Wang, Hongyan Li, Chaoqun Li, Zheheng Li

“…This study uses this system and statistical simulation to analyse three urban application scenarios, namely evaluating the vaccination rate (VR) and determining the optimal vaccination strategy, evaluating herd immunity and monitoring the VE on variant.Main outcome measures The primary outcomes first establish an urban COVID-19 listed VE monitoring, evaluation and application system by using the health code blockchain, combined with the dynamic monitoring model of VE, the evaluation index system of VE and the monitoring and evaluation system of personal privacy information use, and then three measures are analysed in urban simulation: one is to take the index reflecting urban population mobility as the weight to calculate the comprehensive VR, the second is to calculate the comprehensive basic reproduction number (R) in the presence of asymptomatic persons, the third is to compare the difference between the observed effectiveness and the true effectiveness of listed vaccines under virus variation.Results Combining this system and simulation, this study finds: (1) The comprehensive VR, which is weighted to reflect urban population mobility, is more accurate than the simple VR which does not take into account urban population mobility. …”
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Integrating pharmacogenomics and cheminformatics with diverse disease phenotypes for cell type-guided drug discovery by Arda Halu, Sarvesh Chelvanambi, Julius L. Decano, Joan T. Matamalas, Mary Whelan, Takaharu Asano, Namitra Kalicharran, Sasha A. Singh, Joseph Loscalzo, Masanori Aikawa

“…Methods We build cell type-specific gene-drug perturbation networks from CMap data using a statistical procedure we call Quantile-based Instance Z-score Consensus (QUIZ-C). …”
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Three-Dimensional Evaluation of the Effects of Different Treatment Methods on Pharyngeal Airways in Patients with Skeletal Class III Malocclusion by Mevlude Yuce Polat, İsmail Ceylan

“…Volumetric parameters and minimal axial area (MAA) were measured in the nasopharyngeal, retropalatal, retroglossal, and total airway regions. …”
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Monitoring and discussion on river carbon and nitrogen fluxes in the Pearl River Estuary region by Dawei Li, Hongji Liang, Zimiao Zhao, Huifeng Huang, Cuiming Li, Chengzhi Wang

“…By referring to historical statistical data and combining it with the results of this survey, we can provide data support for the next phase of pollution control in surrounding waters.…”
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Evaluation of a new biomarker 14-3-3 Eta protein in diagnosis of rheumatoid arthritis by Lakshmi Deepika Yarlagadda, Rachel Jacob, D Liza Rajasekhar, Krishna Mohan Iyyapu, Sai Baba S S. Kompella, Vijaya Bhaskar Madrol, N N Sreedevi, Siraj Ahmed Khan, Noorjahan Mohammed

“…The sensitivity and specificity of RF and anti-CCP were 33% and 85% and 37% and 90% respectively. The combination of 14-3-3 η, RF and anti-CCP showed sensitivity and specificity of 85.4% and 100% respectively with area under the curve 0.927. …”
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Applying model-based recursive partitioning to improve pedestrian exposure models to support transportation safety analyses by Jakob Wiegand, Vikash Gayah

“…To address this issue, this paper proposes a model-based recursive partitioning (MBRP) algorithm to develop pedestrian exposure models. The MBRP approach combines traditional statistical methods (e.g. NB regression) with recursive data partitioning techniques commonly found in tree-based machine learning methods. …”
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A study on sexual violence among women in Northern Ethiopia's 2022 conflict: mixed methods by Atitegeb Abera Kidie, Seteamlak Adane Masresha, Birtukan Gizachew Ayal, Kindie Mekuria, Tsion Kokeb Kodo, Abayneh Tunta Boye, Misganaw Guadie Tiruneh, Fassikaw Kebede Bizuneh, Eneyew Talie Fenta

“…Prostitutes faced a fourfold increased risk (AOR: 4.2, 95% CI: 1.3, 10.9). Living in areas with attacks raised the risk 2.7 times (AOR: 2.7, 95% CI: 1.1, 6.2), and a monthly income of 2,001–4,000 ETB increased it 2.5 times (AOR: 2.5, 95% CI: 1.1, 5.7). …”
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Hematological profile of pulmonary tuberculosis patients before and after 1 month of taking anti-TB drugs by Ririh Jatmi Wikandari, Surati, Siti Nuryani, Sistoyono

“…Data were analyzed using SPSS Version 25 with descriptive statistics and paired t-test was used to compare hematologic profiles before and after treatment. …”
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Unraveling the immunological landscape and gut microbiome in sepsis: a comprehensive approach to diagnosis and prognosisResearch in context by Yali Luo, Jian Gao, Xinliang Su, Helian Li, Yingcen Li, Wenhao Qi, Xuling Han, Jingxuan Han, Yiran Zhao, Alin Zhang, Yan Zheng, Feng Qian, Hongyu He

“…A combined diagnostic model incorporating B.salyersia, NK cells in CD45+ leukocytes, and C-reactive protein (CRP) demonstrated high accuracy in distinguishing sepsis from non-sepsis (area under the receiver operating characteristic curve, AUC = 0.950, 95% CI: 0.811–1.000). …”
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GIS-based modeling and analytical approaches for groundwater quality suitability for different purposes in the Egyptian Nile Valley, a case study in Wadi Qena by Hanaa A. Megahed, Abd El-Hay A. Farrag, Amira A. Mohamed, Mahmoud H. Darwish, Mohamed A. E. AbdelRahman, Heba El-Bagoury, Paola D’Antonio, Antonio Scopa, Mansour A. A. Saad

“…Maps of chemical variables are created using statistical tools by combining observations with interpolation models that can incorporate simple process relations. …”
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Predicting local control of brain metastases after stereotactic radiotherapy with clinical, radiomics and deep learning features by Hemalatha Kanakarajan, Wouter De Baene, Patrick Hanssens, Margriet Sitskoorn

“…This model’s prediction improvement was statistically significant compared to models trained with clinical features alone or with the combination of clinical and DL features. …”
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Integrated Machine Learning Approaches for Landslide Susceptibility Mapping Along the Pakistan–China Karakoram Highway by Mohib Ullah, Haijun Qiu, Wenchao Huangfu, Dongdong Yang, Yingdong Wei, Bingzhe Tang

“…Chi-square (χ²) values (9.8–21.2) and <i>p</i>-values (<0.005) confirm statistical significance across models. This study identifies approximately 20.70% of the area as from high to very high risk, with the SE model excelling in detecting high-risk zones. …”
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Investigating the Effect of Solanum lycopersicum L. (Tomato) Pomace on Growth Performance and some Blood Indices of Broiler Chickens by Meta-Analysis Method by Zahra Sahragard, seyyed javad Hosseini-vashan, Hossein Naeemipour Younesi, Seyyed Homayon Farhangfar

“…Both fixed and random effects models were used to combine the effect size. To evaluate the publication basis, funnel plot and statistical tests on Tomato pomace were used.Results and Discussion: The abdominal fat percentage (-0.354±1.44), heart percentage (-0.353±0.294), pancreas percentage (-0.504± 0.316), gall bladder percentage (-0.027± 0.961), glucose (-0.091± 0.331), LDL (-1.942±0.644), total protein (-1.505± 0.003), cholesterol concentration (-0.290±0.04), feed intake in starter (0.072± 0.531) were lowered when tomato pomace were added to the broiler diet. …”
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Development and Validation of a Machine Learning Method Using Vocal Biomarkers for Identifying Frailty in Community-Dwelling Older Adults: Cross-Sectional Study by Taehwan Kim, Jung-Yeon Choi, Myung Jin Ko, Kwang-il Kim

“…Furthermore, while the combined DemoSpeechAI model showed slightly improved performance over the SpeechAI model, the difference was not statistically significant. …”
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Increased Plasma Levels of 8-Hydroxy-2′-deoxyguanosine (8-OHdG) in Patients with Pseudoexfoliation Glaucoma by Altaf A. Kondkar, Tahira Sultan, Taif A. Azad, Lubna Tabussum, Essam A. Osman, Saleh A. Al-Obeidan

“…Furthermore, in receiver operating characteristic analysis, the area under the curve was statistically significant (p=0.032) with a value of 0.635 (95% CI = 0.518–0.751). …”
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Impact of Investment on Labour Productivity in Azerbaijan's Chemical and Petrochemical Industry by Vilayat Ismayilov, Nizami Gafarov, Sabina Valiyeva

“…The research employed a combination of analytical methods, including statistical analysis of data from the State Statistical Committee of Azerbaijan on labour productivity and investment in the chemical and petrochemical sectors. …”
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Spatial and Temporal Distribution of Sand Mining in Poyang Lake and Its Impact on Lake Basin Morphology Based on Remote Sensing Images by LIU Jiahao

“…The results show that: ① sand mining vessels were mainly distributed in the north lake part of Poyang Lake from 2000 to 2006, and the number of sand mining vessels plummeted in 2008 due to the impact of the banning policy, and 2016 was the peak of sand mining activities, in which the policy regulation is the main factor for the change of spatio-temporal distribution and number and scale of sand mining vessels in Poyang Lake from 2000 to 2021; ② the human sand mining activities have affected to a certain extent the hydrological sediment balance of Poyang Lake to a certain extent; ③ sand mining activities led to a decrease in the beach area in the inlet channel of Poyang Lake and Songmen Mountain area, while the net increase in the beach area in the southeast area of Tangyin was about 7.95 km², mainly due to siltation caused by the spreading of sediments from inlet tributaries of the lake. …”
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Reconstruction of U.S. Regional-Scale Soybean SIF Based on MODIS Data and BP Neural Network by YAO Jianen, LIU Haiqiu, YANG Man, FENG Jinying, CHEN Xiu, ZHANG Peipei

“…Selected soybean planting areas in the United States with relatively single crop cultivation as the research area, based on high spatial resolution (1.29 km×2.25 km) OCO-2 SIF data, greatly reduced vegetation heterogeneity under a single SIF footprint.…”
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Evaluation of indirect indices in the insulin resistance assessment in patients with different body mass index by Lejla Čano Dedić, Arzija Pašalić, Emsel Papić, Emir Begagić, Sabina Šečić Selimović, Mario Gazibarić, Sabina Šegalo

“…HOMA-IR, TyG, and TyG-BMI showed statistical significance in predicting IR regardless of BMI (p < 0.05). …”
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