MP-LLAVRec: an agricultural product recommendation algorithm based on LLAVA and user modal preference by Peishan Li, Peishan Li, Peishan Li, Lutao Gao, Lutao Gao, Lutao Gao, Lilian Zhang, Lilian Zhang, Lilian Zhang, Lin Peng, Lin Peng, Lin Peng, Chunhui Bai, Chunhui Bai, Chunhui Bai, Linnan Yang, Linnan Yang, Linnan Yang

“…However, the following three problems still exist in the traditional agricultural product recommendation domain: (1) the problem of missing modalities made it difficult for consumers to intuitively and comprehensively understood the product information; (2) most of them relied on shallow information about the basic attributes of agricultural products and ignored the deeper associations among the products; (3) they ignored the deeper connections among individual users and the intrinsic associations between the user embedding and the localized user representation in different modalities, which affected the accuracy of user modeling and hindered the final recommendation effect.MethodsTo address these problems, this paper innovatively proposed an agricultural product recommendation algorithm based on LLAVA and user behavioral characteristics, MP-LLaVRec(Modal Preference - Large Language and Vision Recommendation). …”
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Hemoglobin-to-red blood cell distribution width ratio as a protective factor against coronary artery disease: a cross-sectional analysis of NHANES (2011-2018) by Xin-Da Wang, Chaoya Li, Jia Hu, Fen Cao, Li Zhu, Yongzhi Zhu, Zhongzheng Wen, Jun Liu

“…After excluding participants due to age, missing data, and potential confounding factors, 6,881 individuals were included in our study. …”
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BIOMECHANICAL EVALUATIONS OF IMPLANTO-PROSTHETIC RESTORATIONS by Resmerita Andreea, Cretu Cosmin Ionut, Scheuleac Alexandra, Agop-Forna Doriana, Adam Eduard, Forna Norina

“…It is recommended to replace each missing tooth with an implant when bone support and costs allow. …”
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Energy consumption prediction using modified deep CNN-Bi LSTM with attention mechanism by Adel Binbusayyis, Mohemmed Sha

“…In the beginning, data pre-processing addresses missing values and performs feature scaling for normalizing independent variables. …”
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Development and validation of a tool for advising primiparous women during early labour: study protocol for the GebStart Study by Mechthild M Gross, Susanne Grylka-Baeschlin, Antonia N Mueller, Jessica Pehlke-Milde

“…An evidence-based instrument for assessing the individual needs to advise primiparous women during early labour is currently missing. The study aims to develop and validate a tool to inform the joint decision for or against hospital admission.Methods and analysis A scale development and validation study will be conducted including following steps: (1) Generation of a pool with 99 items based on a scoping review and focus group discussions with primiparous women, (2) Assessment of content and face validity by an expert panel and item reduction to 32 items, (3) Multicentre data collection in six study sites in Switzerland, with application of the preliminary tool and the validation items with a target sample size of approximately n=400 women and (4), item reduction using exploratory factor analysis, factor loading and item-to-item correlation. …”
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Indoor Black Carbon Concentrations and their Sources in Residential Environments: Validation of an Input-adaptive Proxy Model by Jiangyue Zhao, Pak Lun Fung, Martha Arbayani Zaidan, Birgit Wehner, Kay Weinhold, Alfred Wiedensohler, Tareq Hussein

“…Indoor pollutant measurements are often performed with only a limited number of instruments and pollutant data. To fill in the missing knowledge of indoor BC, a proxy model was developed. …”
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Diagnosis of Coxiella burnetii endocarditis by using nanopore targeted sequencing: a case report by Xinsheng Yan, Qimei Wei, Tingting Liu, Dong Wang, Zhenlu Zhang

“…The diversity of IE manifestations contributes to diagnostic uncertainty, which can lead to missed diagnoses and inappropriate treatment. Diagnosing Coxiella burnetii endocarditis is particularly challenging, as routine blood cultures often yield negative results and echocardiography seldom reveals vegetations. …”
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Identification of the gene coding for seed cotyledon albumin SCA in the pea (Pisum L.) genome by A. V. Mglinets, V. S. Bogdanova, O. E. Kosterin

“…The sequence Psat0s797g0240 could encode a minor related albumin SA-a2, while a candidate gene for albumin SAA is still missing (as well as electrophoretic variation of both latter albumins). …”
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Enhancing Telemarketing Success Using Ensemble-Based Online Machine Learning by Shahriar Kaisar, Md Mamunur Rashid, Abdullahi Chowdhury, Sakib Shahriar Shafin, Joarder Kamruzzaman, Abebe Diro

“…The effectiveness of such an approach, however, is highly dependent on the selection of the appropriate consumer base, as reaching uninterested customers will induce annoyance and consume costly enterprise resources in vain while missing interested ones. The introduction of business intelligence and machine learning models can positively influence the decision-making process by predicting the potential customer base, and the existing literature in this direction shows promising results. …”
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Postoperative brachytherapy alone for 217 patients with early-stage oral cavity squamous cell carcinoma by C. Schweizer, V. Strnad, M. Lotter, S. Kreppner, R. Merten, R. Fietkau, A. Karius

“…Prospective studies are missing. Interventional radiotherapy offers a precise dose application. …”
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The effect of feeding methods and non-nutritive sucking habits on early childhood caries and development of occlusion (A cross-sectional study) by Huda R. Awsi, Bayan A. Hassan

“… Background and objectives: Early Childhood Caries (ECC ) is the most common chronic disease conditioning childhood and involves the presence of one or more decayed (noncavitated or cavitated lesions),missing(due to caries), or filled tooth surfaces in children under 72 months of age.Time and frequency of breast-feeding, artificial feeding and of non-nutritive sucking habits can influence orofacial development, and when negative can provoke instability of orofacial function. …”
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Cohort profile: the Viral load Cohort North-East Lesotho (VICONEL) from 2016 to 2023 – cohort description, test volumes, predictors of viraemia and the road ahead by Tracy Glass, Frédérique Chammartin, Jochen Ehmer, Thomas Klimkait, Alain Amstutz, Josephine Muhairwe, Irene Ayakaka, Blaise Lukau, Jennifer Anne Brown, Lipontso Motaboli, Malebanye Lerotholi, Maurus Kohler, Kathrin Haenggi, Moliehi Mokete, Makobefo Gladys Chakela, Mpho Kao, Mathebe Kopo, Moleboheng Mokebe, Lorena Urda, Bienvenu Lengo Nsakala, Anna Klicpera, Nadine Tschumi, Niklaus Daniel Labhardt

“…At the time of the last viral load test, median age was 42 years (IQR: 33–53); 18 511 (63%) were adult women, 10 029 (34%) adult men and 835 (3%) children <15 years (age/sex missing for 5) and median time taking antiretroviral therapy (ART) was 6.4 years (IQR 3.2–9.9). …”
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Forecasting Weather using Deep Learning from the Meteorological Stations Data : A Study of Different Meteorological Stations in Kaski District, Nepal by Supath Dhital, Kapil Lamsal, Sulav Shrestha, Umesh Bhurtyal

“…Averaging and linear interpolation techniques were used to fill out the missing values and outliers were detected using Box Plot and replaced with threshold value for each parameter. …”
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Severe pneumonia caused by Nocardia otitidiscaviarum in a patient with bronchiectasis and IgA nephropathy: a case report by Yi Lin, Zhao-Zhao Jiang, Xiao-Qian Chi, Jian-Sheng Chen, Chao Wen, Chao Zhang, Ying-Ying Wang, Guang-Liang Xie

“…BackgroundNocardia species are rare opportunistic pathogens in the clinic, with strong invasiveness and dissemination, that can cause serious pulmonary infection, especially in immunocompromised patients, chronic lung diseases and hormone use, and is easy to be missed and misdiagnosed, preventing patients from obtaining timely and effective treatment, resulting in a high mortality rate.Case presentationHere, we present a rare case of a patient with chronic bronchiectasis and IgA nephropathy who developed Nocardia otitidiscaviarum pneumonia shortly after hormone therapy. …”
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Low-frequency spectral graph convolution networks with one-hop connections information for personalized tag recommendation by Zhengshun Fei, Haotian Zhou, Jinglong Wang, Gui Chen, Xinjian Xiang

“…However, in sparse observable graph structures, a significant number of connections are missing, leading to incomplete and biased propagation. …”
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Seamless monitoring of marine heatwaves: capability of gap-filled, geostationary satellite sea surface temperature data by Seonju Lee, Myung-Sook Park

“…These advanced data not only provide essential insights into the characteristics and impacts of marine heatwaves but also enable a detailed examination of their diurnal cycle by restoring data with an average of 75% missing values (79.34%). Moreover, these seamless SST data serve as inputs for numerical modeling and the deep learning algorithms and has immense potential for both forecasting marine heatwaves and implementing a 24-h continuous monitoring technique. …”
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Face Boundary Formulation for Harmonic Models: Face Image Resembling by Hung-Tsai Huang, Zi-Cai Li, Yimin Wei, Ching Yee Suen

“…Face combination and resembling may also be used for plastic surgery, finding missing children, and identifying criminals. The boundary and numerical techniques of face images in this paper can be used not only for pattern recognition but also for face morphing, morphing attack detection (MAD), and computer animation as Sora to greatly enhance further developments in AI.…”
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An artificial insurance framework for a hydrogen-based microgrid to detect the advanced cyberattack model by Mahan Fakhrooeian, Ali Basem, Mohammad Mahdi Gholami, Nahal Iliaee, Alireza Mohammadi Amidi, Amin Heydarian Hamzehkanloo, Akbar Karimipouya

“…Comparative analysis indicates notable gains, such as scores of 0.95%, 0.92%, 0.7%, and 10% for the Hit rate, C.R. rate, F.A. rate, and Miss rate in order to evaluate the GAN-based detection model within the microgrid.…”
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Informatics Consideration on the Hierarchical System of Rare Diseases Clinical Care in China by GONG Mengchun, GUO Yanying, ZHENG Xihong, FAN Junkang, LIU Peng, NIU Ling, YANG Yining, ZOU Xiaoguang

“…The basic diagnosis and treatment capabilities are weak, the diagnosis period for patients is long, and the rates of missed diagnosis and misdiagnosis are relatively high. …”
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Benchmarking passive-microwave-satellite-derived freeze–thaw datasets by A. Bartsch, X. Muri, M. Hetzenecker, K. Rautiainen, H. Bergstedt, J. Wuite, T. Nagler, D. Nicolsky

“…Quality assessment is usually limited to comparisons with in situ point records, but a regional benchmarking dataset is, thus far, missing. Synthetic aperture radar (SAR) offers high spatial detail and, thus, is potentially suitable for assessment of the operational products. …”
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