The value-added model of the supply chain of petrochemical industries with a sustainable development approach by ali amiri, seyed abbas heydari, vahidreza Mirabi

“…The benefits of using this model include improving efficiency and reducing waste in the supply chain, improving communication and coordination between supply chain members, and increasing the competitiveness of companies (Duncan et al, 2019). …”
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Zn-3, a Tris[3-(2-pyridyl)-pyrazolyl]borate zinc(II) complex, shows preferential antiproliferative effects on breast cancer rather than normal breast cells via oxidative stress by Jun-Ping Shiau, Min-Yu Lee, Sodio C.N. Hsu, Sih-Ruei Tseng, Hsueh-Wei Chang

“…This investigation evaluated the antiproliferative efficiency of Zn-3 in breast cancer and normal cells. …”
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Advancing blood cell detection and classification: performance evaluation of modern deep learning models by Shilpa Choudhary, Sandeep Kumar, Pammi Sri Siddhaarth, Guntu Charitasri, Monali Gulhane, Nitin Rakesh, Feslin Anish Mon, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene

“…But MobileNetV2 and ShuffleNetV2 are more computationally efficient, which becomes more appropriate for resource-constrained environments. …”
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Genetic selection for growth, wood quality and resin traits of potential Slash pine for multiple industrial uses by Xianyin Ding, Yini Zhang, Jiaming Sun, Zifeng Tan, Qinyun Huang, Shu Diao, Yadi Wu, Qifu Luan, Jingmin Jiang

“…This study aims to understand the genetic basis of key industrial traits in Slash pine (Pinus elliottii Engelm. var. elliottii) to enhance improvement efficiency. Detailed analyses were conducted on inter-family differences, genetic parameters, correlations, and breeding values (BVs) for growth, wood properties, and resin traits of Slash pine planted in Changle Forest Farm of Hangzhou, leading to the identification of elite families. …”
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Impact of Urban-Rural Integrated Development on Carbon Emission Intensity of Land Use: A Case Study of the Changsha–Zhuzhou–Xiangtan Urban Agglomeration by Li Xiaoqing, Zhou Guohua, Cui Shuqiang, Wang Hua, Liu Hui, Yu Xuexia

“…We found that 1) urban-rural integration accelerates the circulation of human, capital, technology, and other factors in urban and rural production and living activities, which affect the pattern and function of regional carbon sources and sinks by improving land-use efficiency, optimizing land allocation, and increasing energy consumption. …”
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Prediction and Screening of Lead-Free Double Perovskite Photovoltaic Materials Based on Machine Learning by Juan Wang, Yizhe Wang, Xiaoqin Liu, Xinzhong Wang

“…The search for stable, lead-free perovskite materials is critical for developing efficient and environmentally friendly energy solutions. …”
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A novel deep learning framework for automatic scoring of PD-L1 expression in non-small cell lung cancer by Saidul Kabir, Muhammad E. H. Chowdhury, Rusab Sarmun, Semir Vranić, Rafif Mahmood Al Saady, Inga Rose, Zoran Gatalica

“…Patches of size 1000x1000 pixels were generated to train classification models such as EfficientNet, Inception, and Vision Transformer models. …”
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Applications of non-thermal technologies in food processing Industries-A review by Saydul Md Safwa, Tanvir Ahmed, Sudipta Talukder, Animesh Sarkar, Md Rahmatuzzaman Rana

“…These innovative approaches utilize lower temperatures and shorter processing durations, thereby minimizing the negative effects on nutrients, flavors, colors, and sensory attributes. …”
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Cost-effectiveness analysis of nimotuzumab combined with gemcitabine for K-Ras wild type locally advanced or metastatic pancreatic cancer in China by Rong Long, Hao Guo, Kun Chen

“…Hence, herein, we examined the cost-efficiency of introducing nimotuzumab to gemcitabine, relative to gemcitabinealone, in first-line K-Ras wild type LA or mPC therapy from a Chinese payer perspective. …”
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Synergistic H&E and IHC image analysis by AI predicts cancer biomarkers and survival outcomes in colorectal and breast cancer by Yating Cheng, Norsang Lama, Ming Chen, Eghbal Amidi, Mohammadreza Ramzanpour, Md Ashequr Rahman, Joanne Xiu, Anthony Helmstetter, Lauren Dickman, Jennifer R. Ribeiro, Hassan Ghani, Matthew Oberley, David Spetzler, George W. Sledge

“…Conclusions This study promotes the integration of advanced AI tools in clinical pathology, aiming to enhance the precision and efficiency of cancer biomarker evaluation and offering a customizable framework for varied clinical scenarios. …”
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Sentiment analysis for deepfake X posts using novel transfer learning based word embedding and hybrid LGR approach by Madiha Khalid, Muhammad Faheem Mushtaq, Urooj Akram, Mejdl Safran, Sultan Alfarhood, Imran Ashraf

“…The ML models are fine-tuned with extensive hyperparameter tuning to enhance performance and efficiency. The sentiment analysis performance of each applied method is validated using the k-fold cross-validation. …”
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Nurses’ Perceptions on the Usability of Electronic Health Records: A Scoping Review by Sarah Jane Moore, Anna Garnett, Kelly Mason, Eunice Onigbinde, Halyna Yurkiv

“… Introduction: Electronic health records (EHRs) are designed to enhance the efficiency and quality of nursing workflows and documentation. …”
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A Type‐3 Fuzzy‐Based Model Predictive Control Approach for Management of Constant Energy by Man‐Wen Tian, Lixing Zhu, Mohammad Hosein Sabzalian, Jafar Tavoosi, Amirhosein Khosravi Sarvenoee, Pierpaolo D'Urso, Ebrahim Ghaderpour, Ardashir Mohammadzadeh

“…Because of their rising negative impedance characteristics, CPLs reduce system performance. …”
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RNA Interference-Mediated Suppression of <i>GhSP</i> (<i>SELF-PRUNING</i>) Modulates the Plant Architecture of Transgenic Cotton in a Dose-Dependent Manner by Yi Wang, Qinzhao Liu, Wanting Yu, Junmin Chen, Qingwei Suo, Zhong Chen, Jianyan Zeng, Aimin Liang, Jie Kong, Yuehua Xiao

“…The genetic engineering of cotton architecture offers an efficient, environmentally friendly, and low-cost alternative to current field management. …”
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SERLogic: A Logic-Integrated Framework for Enhancing Sequential Recommendations by Lihang Fan

“…s}$ </tex-math></inline-formula> to generate recommendations efficiently. Empirical evaluation on real-world datasets reveals that <inline-formula> <tex-math notation="LaTeX">$\textsf {SERLogic}$ </tex-math></inline-formula> significantly enhances the performance of sequential recommendation models in terms of Recall@K and NDCG@K, while also achieving superior computational efficiency.…”
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Cardiorespiratory Fitness From Cardiopulmonary Exercise Testing Is a Comprehensive Risk-stratifying Tool in Liver Transplant Candidates by Dempsey L. Hughes, MD, Blanca Lizaola-Mayo, MD, Courtney M. Wheatley-Guy, PhD, Hugo E. Vargas, MD, Pamela M. Bloomer, PT, MPT, Cody Wolf, PhD, Elizabeth J. Carey, MD, Daniel E. Forman, MD, Andres Duarte-Rojo, MD, PhD

“…Conclusions. CPX provided efficient and effective combined cardiopulmonary risk and frailty assessments of LT candidates in a 1-stop test. …”
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Detection of Rickettsia in ticks using loop-mediated isothermal amplification (LAMP) by Samantha Lansdell, Marwa M. Hassan, Roberto La Ragione, Martha Betson, Maria Sofia Núncio, Isabel Lopes de Carvalho, Líbia Zé-Zé, Rita de Sousa, Sally Cutler

“…Conclusions: This study introduces a novel field-applicable LAMP protocol for efficient Rickettsia screening in ticks to better assess its prevalence and consequent health risks. …”
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Funding liquidity on bank lending growth: The case of India by Erum Shaikh, Muhammad Nawaz Tunio, Vishal Dagar

“…GMM offers a consistent, asymptotically normal, and efficient estimator in comparison to all of the other estimators that merely use the information presented by the moment conditions. …”
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IMAGING OF 3-D SEISMIC TOMOGRAPHY FOR INTERNAL STRUCTURE UNDER THE MOUNTAIN MERAPI USING THE LOTOS-10 SOFTWARE by Ayu Wita Sari, Gede Bayu Suparta

“…The result of seismograph data processing shows seismic tomography method can reveal the subsurface structure of the Merapi Volcano through the distribution of deviation anomaly speed and Vp / Vs ratio. Image quality generated by using primary wave more clearly the resolution and time used more efficient, so that can be used as disaster mitigation information before earthquake eruption happened. …”
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Carcinogenic health risks and water quality assessment of groundwater around lead–zinc mining areas of Ebonyi state Nigeria: a data-driven machine learning approach by Obinna Chigoziem Akakuru, Moses Oghenenyoreme Eyankware, Godwin O. Aigbadon, Ayatu Ojonugwa Usman, Alexander Iheanyi Opara, Kizito Ojochenemi Musa, Micheal Akaninyene Okon, Okechukwu Pius Aghamelu, Gabriel Ehriga Odesa, Ifeyinwa Juliana Ofoh, Annabel U. Obinna-Akakuru

“…Machine learning was preferred over traditional methods for its ability to capture complex, non-linear relationships in the data, allowing for more accurate predictions of contamination levels and health risks, which is crucial for targeted monitoring and efficient groundwater management in mining-impacted areas. …”
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