Multimodal AI/ML for discovering novel biomarkers and predicting disease using multi-omics profiles of patients with cardiovascular diseases by William DeGroat, Habiba Abdelhalim, Elizabeth Peker, Neev Sheth, Rishabh Narayanan, Saman Zeeshan, Bruce T. Liang, Zeeshan Ahmed

“…Our approach has the potential to uncover the intricate mechanisms underlying CVD, enabling patient-specific risk and response profiling. We sourced transcriptomic expression data and single nucleotide polymorphisms (SNPs) from both CVD patients and healthy controls. …”
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Sustainable production of CaO rich-indigofera (Indigofera zollingeriana) as heterogeneous catalyst of biodiesel from refined bleached deodorized palm olein using associated transes... by Taslim, Silvia Nova, Renita Manurung, Iriany, Vikram Alexander, Anggara Dwita Burmana

“…This study aims to apply the potential of indigofera leaves ash (Indigofera zollingeriana) as a heterogeneous catalyst sourced from biomass as an environmentally friendly solution in producing biodiesel from refined bleached deodorized palm olein (RBDPO). …”
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DFT analysis of the [3 + 2] heterocyclization reaction of ((1,2,4-triazole(1,3,4-oxadiazole)-3(2)-yl)methyl)thiopyrimidines by Yu. V. Karpenko

“…Melting points were determined using the capillary method on a Stanford Research Systems Melting Point Apparatus 100 (SRS, USA). The reagents were sourced from Sigma-Aldrich (Merck). All calculations were performed using the molecular visualization program GaussView 5.0.8 and the Gaussian 09 Rev E.01 software package. …”
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Research on Model Reconstruction Methods for Partial Point Cloud Information Loss by Zhengping CHANG, Guoshuai YUAN, Jiuhua LI, Yang ZHAO, Zhongqi WANG

“…Finally, the scanned point cloud carried on region partition, and the Interactive Closest Point (ICP) algorithm was utilized to match the scanned area with the theoretical model. …”
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Translating Muscle RNAseq Into the Clinic for the Diagnosis of Muscle Diseases by Alba Segarra‐Casas, Cristina Domínguez‐González, Daniel Natera‐de Benito, Solange Kapetanovic, Aurelio Hernández‐Laín, Berta Estévez‐Arias, Laura Llansó, Carlos Ortez, Cristina Jou, Itxaso Martí‐Carrera, Arístides López‐Márquez, Maria José Rodríguez, Laura González‐Mera, Velina Nedkova, Roberto Fernández‐Torrón, Benjamín Rodríguez‐Santiago, Cecília Jimenez‐Mallebrera, Raul Juntas‐Morales, Adolfo López‐de Munain, Jordi Surrallés, Andrés Nascimento, Eduard Gallardo, Montse Olivé, Pia Gallano, Lidia González‐Quereda

“…Four aberrant splicing open‐source tools were compared and assessed. Results RNAseq established a diagnosis in 10/70 patients (14.3%) by identifying aberrant transcripts produced by single nucleotide variants (7/10) or copy number variants (3/10). …”
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Satellite Altimetry-based Extension of global-scale in situ river discharge Measurements (SAEM) by P. Saemian, O. Elmi, M. Stroud, R. Riggs, B. M. Kitambo, F. Papa, G. H. Allen, M. J. Tourian

“…These water level time series are sourced from both existing Level-3 water level time series and newly generated ones within this study. …”
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Estimation of long-term gridded cloud radiative kernel and radiative effects based on cloud fraction by X. Liu, T. He, Q. Wang, X. Xiao, Y. Ma, Y. Wang, S. Luo, L. Du, Z. Wu, Z. Wu

“…By leveraging the correlation between the top-of-atmosphere (TOA) shortwave radiative parameters and surface radiation, combined with high-precision fused CF datasets from multiple satellite sources, we construct a CF-dependent model to refine DSSR estimates. …”
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Political Order and Nomadic Life in Iran: From the Afsharid Period to the End of the Qajar Dynasty by Shahram Gholami, Siavash Gholipour

“…They argued that the cold highlands and tropical plains surrounding the Iranian plateau provided an ideal environment for this mode of living, allowing people to efficiently utilize water and soil resources, ultimately resulting in economic prosperity. …”
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Providing a Robust Dynamic Pricing Model and Comparing It with Static Pricing in Multi-level Supply Chains Using a Game Theory Approach by Sara Mehrjoo, Hanan Amoozad Mahdirji, Jalil Heidary Dahoei, Seyyed Hossein Razavi Haji Agha, Mahnaz Hosseinzadeh

“…Objective Designing a multi-level supply chain network with efficient product flow management is an important issue in supply chain management. …”
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iMeta Conference 2024: Building an innovative scientific research ecosystem for microbiome and One Health by Yao Wang, Huiyu Hou, Hao Luo, Jiani Xun, Chuang Ma, Haifei Yang, Defeng Bai, Salsabeel Yousuf, Hujie Lyu, Tianyuan Zhang, Xiulin Wan, Xiaofang Yao, Tengfei Ma, Yuanping Zhou, Zhihao Zhu, Meiyin Zeng, Sanqi An, Qing Bai, Yao Bai, Guodong Cao, Tingting Cao, Yongkai Cao, Chihmin Chang, Lijia Chang, Bo Chen, Dai Chen, Dijun Chen, Hanqing Chen, Jiali Chen, Jinfeng Chen, Wei‐Hua Chen, Xinhai Chen, Yue Chen, Zhangran Chen, Cheng Cheng, Quan Cheng, Xi‐Jian Dai, Chaowen Deng, Feilong Deng, Jingwen Deng, Chang‐Sheng Dong, Lei Dong, Lianhui Duan, Yi Duan, Qingjie Fan, Chao Fang, Tingyu Fang, Wensheng Fang, Zhencheng Fang, Min Fu, Minjie Fu, Cong Gao, Hao Gao, Weiwei Gao, Xinrui Gao, Yi‐Zhou Gao, Yan Geng, Wenping Gong, Shaohua Gu, Xia Gu, Zhengquan Gu, Jian‐Wei Guo, Junjie Guo, Qiuyan Guo, Xiang Guo, Xiaoqian Guo, Dongfei Han, Ziyi Han, Yanan Hao, Jiale He, Jianquan He, Jianyu He, Ruolin He, Guosen Hou, Bin Hu, Haibo Hu, Yi Hu, Yongfei Hu, Yucan Hu, Guanyin Huang, Haiyun Huang, Jiaomei Huang, Shenghui Huang, Baolei Jia, Xingxing Jian, Chao Jiang, Kun Jiang, Lanyan Jiang, Shuaiming Jiang, Jian‐Yu Jiao, Hao Jin, Jiajia Jin, Siyuan Kong, Xinxing Lai, Yuxin Leng, Bang Li, Bing Li, Fang Li, Hao Li, Huanjie Li, Jing Li, Kai Li, Lanqi Li, Leyuan Li, Minghan Li, Pengsong Li, Wei Li, Wei Li, Xianyu Li, Li Xuemeng, Yafei Li, Yuantao Li, Zhi Li, Liqin Liang, Rong Liang, Zhuobin Liang, Qingya Liu, Dejian Liu, Huiheng Liu, Jinchao Liu, Li Liu, Lihui Liu, Moyang Liu, Ran Liu, Shuai Liu, Tianyang Liu, Wei Liu, Wenjuan Liu, Xiaomin Liu, Yang Liu, Yichen Liu, Yina Liu, Yuan Liu, Zhe Liu, Zhipeng Liu, Zhiquan Liu, Chunhao Long, Yun Long, Changying Lu, Chao Lu, Cheng Lu, Qi Lu, Yaning Luan, Peng Luo, Sheng Luo, Ning Ma, Xiao‐Ya Ma, Yan Ma, Wenjun Mao, Yuanfa Meng, Yan Ni, Yawen Ni, Kang Ning, Dongze Niu, Kai Peng, Zhengwu Peng, Xubo Qian, Zhiguang Qiu, Hui Qu, Zepeng Qu, Yan Ren, Zhigang Ren, Youming Shen, Lin Shi, Linlin Shi, Wenxuan Shi, Yongpeng Shi, Tianyuan Song, Xiaohui Song, Xiaoming Song, Xiaowei Song, Qi Su, Yufan Su, Lifang Sun, Qiang Sun, Tiefeng Sun, Yunke Sun, Hua Tang, Wenjing Tang, Tao Yu, Simon Tian, Shuo Wang, Bowen Wang, Cheng Wang, Wang Jin, Leli Wang, Liangliang Wang, Lixiao Wang, Mingbang Wang, Ming‐Ke Wang, Pingyi Wang, Shaolin Wang, Shaopu Wang, Xinxia Wang, Xueqiang Wang, Mi Wei, Yan Wei, Yanxia Wei, Yongjun Wei, Chaoliang Wen, Xin Wen, Linkun Wu, Shengru Wu, Yuting Wu, Shuting Xia, Xiaodong Xia, Yu Xia, Xionggen Xiang, Chuanxing Xiao, Weihua Xiao, Yingping Xiao, Ruohan Xie, Rui Xing, Hui Xu, Wei Xu, Zhimin Xu, Hongliang Xue, Chao Yan, Qiu‐Long Yan, Shaofei Yan, Xiuchuan Yan, Mengli Yang, Yufan Yang, Zhipeng Yang, Ziyuan Yang, Guixiang Yao, Yanlai Yao, Xianfu Yi, Chong Yin, Mingliang Yin, Shicheng Yu, Ying Yu, Yongyao Yu, Fusong Yuan, Shao‐Lun Zhai, Bo Zhang, Chen Zhang, Fang Zhang, Feng‐Li Zhang, Hengguo Zhang, Jinping Zhang, Junya Zhang, Kun Zhang, Li Zhang, Lin Zhang, Lingxuan Zhang, Meng Zhang, Qian Zhang, Runan Zhang, Tongtong Zhang, Tongxue Zhang, Weipeng Zhang, Yong Zhang, Yuchao Zhang, Yujun Zhang, Zeng Zhang, Zhengxiao Zhang, Zhi‐Feng Zhang, Boxi Zhao, Yanyan Zhao, Yibing Zhao, Ziwei Zhao, Diwei Zheng, Ying Zheng, Wenqiang Zhi, Jixin Zhong, Xiangjian Zhong, Wei Zhou, Xin Zhou, Zhemin Zhou, Zhichao Zhou, Congmin Zhu, Feiying Zhu, Xiaodie Zhu, Yutian Zou, Hongling Zhou, Lei Lei, Yanliang Bi, Hubing Shi, Hui‐Zeng Sun, Shuangxia Jin, Wenkai Ren, Lei Dai, Xin Wang, Canhui Lan, Hongwei Liu, Shuang‐Jiang Liu, Yulong Yin, Chun‐Lin Shi, Ren‐You Gan, Fangqing Zhao, Jun Yu, Tong Chen, Xin Hong, Hua Yang, Bangzhou Zhang, Shifu Chen, Xiaodong Li, Yunyun Gao, Yong‐Xin Liu

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Supply chain management and optimization in transportation logistics by Saoussen Krichen

“…The aim of this process is to optimize each activity in terms of advantageous profits to the suppliers, retailers and customers. In addition, the efficient planning of activities can be profitable for product development, sourcing, logistics and all flows that can link those activities. …”
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Spatial Analysis of the Concentration of Knowledge-Based Firms in Iran by Najmoddin Yazdi, Mahdi Fateh-rad, Jamal Kadkhodapour, Siamak Tahmasbi

“…Data on knowledge-based firms were obtained from the website of the Vice Presidency for Technology and the Knowledge-Based Economy, while the data related to the independent variables were sourced from the annual publications of the Iranian Statistics Center. …”
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High-flow nasal cannula therapy versus continuous positive airway pressure for non-invasive respiratory support in paediatric critical care: the FIRST-ABC RCTs by Padmanabhan Ramnarayan, Alvin Richards-Belle, Karen Thomas, Laura Drikite, Zia Sadique, Silvia Moler Zapata, Robert Darnell, Carly Au, Peter J Davis, Izabella Orzechowska, Julie Lester, Kevin Morris, Millie Parke, Mark Peters, Sam Peters, Michelle Saull, Lyvonne Tume, Richard G Feltbower, Richard Grieve, Paul R Mouncey, David Harrison, Kathryn Rowan

“…Secondary outcomes included mortality at PICU/HDU discharge, day 60 and day 180; (re)intubation rate at 48 hours; duration of PICU/HDU and hospital stay; patient comfort assessed during NRS using the COMFORT Behavior (COMFORT-B) score; proportion of children in whom sedation was used during NRS; parental stress measured, in hospital at/around the time of consent at 24–48 hours, using the validated questionnaire Parental Stress Score: PICU; and health-related quality of life (HRQoL) at 180 days measured using age-appropriate Paediatric Quality of Life Inventory (PedsQL) and Child Health Utility 9 Dimension (CHU-9D) questionnaires. Data sources A secure, dedicated electronic case report form was used for trial data entry. …”
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Advancing Computational Humor: LLaMa-3 Based Generation with DistilBert Evaluation Framework by He Jinliang, Mei Aohan

“…Utilizing DistilBERT for efficient evaluation, the fine-tuned LLaMA-3 achieved an impressive accuracy of 95.6% and an F1-score of 97.75%, surpassing larger models such as GPT-4o, and Gemini. …”
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Leveraging Explainable Artificial Intelligence in Solar Photovoltaic Mappings: Model Explanations and Feature Selection by Eduardo Gomes, Augusto Esteves, Hugo Morais, Lucas Pereira

“…Additionally, we propose a feature selection methodology utilizing the explanation values to produce more efficient models, by reducing data requirements while maintaining performance within a threshold of the original model. …”
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Post-Disaster Building Damage Segmentation Using Convolutional Neural Networks by Revaldi Rahmatmulya, Agung Teguh Wibowo Almais, Mokhamad Amin Hariyadi

“…To address this issue, this research proposes a system capable of performing segmentation to determine the level of building damage post-natural disaster using convolutional neural network methods. The data utilized consists of aerial images sourced from xView2: Assess Building Damage, comprising 50 aerial images with 5 classes: no-damage, minor-damage, major-damage, destroyed, and unlabeled. …”
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Leveraging the process mining technique to optimize data preparation time in a database used as an automated data delivery center by Seyed Hossein Abrehdari

“…The study explored the various stages involved in the preparation, delivery, and processing of a database containing almost 900 earthquake waveform records (considered big data) by utilizing process mining techniques. The data were gathered from a region spanning 388,111.5 km², located between 44°–51°E and 38°–42.5°N, over the period from 1999 to 2018, and sourced from the USGS. …”
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Vision Transformer Embedded Feature Fusion Model with Pre-Trained Transformers for Keratoconus Disease Classification by Md Fatin Ishrak, Md Maruf Rahman, Md Imran Kabir Joy, Anna Tamuly, Salma Akter, Dewan M. Tanim, Shahajada Jawar, Nayeem Ahmed, Md Sadekur Rahman

“…Eight state-of-the-art CNN architectures, including DenseNet121, EfficientNetB0, InceptionResNetV2, InceptionV3, MobileNetV2, ResNet50, VGG16, and VGG19, were utilized for feature extraction, while the ViT served as the classification head, leveraging its global attention mechanism for enhanced contextual learning, achieving near-perfect accuracy (e.g., DenseNet121+ViT: 99.28%). …”
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Sustainable Biopolymer-Based Electrochemical Sensors for Trace Heavy Metal Determination in Water: A Comprehensive Review by Rabiaa Helim, Ali Zazoua, Hafsa Korri-Youssoufi

“…It discusses various types of biopolymers and bio-sourced polymers, their extraction methods, and chemical properties. …”
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Privacy-Diffusion: Privacy-Preserving Stable Diffusion Without FHE and Differential Privacy by Po-Chu Hsu, Ziying Yu, Shuhei Mise, Hideaki Miyaji

“…Text-to-image generation is trending in the generative artificial intelligence (GenAI) field. Among open-sourced image generation projects, Stable Diffusion is the state-of-the-art. …”
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