LSTM time series prediction of soil moisture content in kiwifruit root zone based on meteorological data fusion by Jingyuan He, Weifeng Li, Shijia Pan, Nikolaos Sygrimis, Zijie Niu, Dongyan Zhang, Dong Han, Petro A. Roussos

“…In this study, we constructed an integrated network model (ATT-LSTM) based on the attention mechanism, which uses vegetation index (VI) and meteorological data (MD) as input features to realize short-term (next two days) prediction of SMC in the root zone of kiwifruit plants. …”
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BoneCLIP-XGBoost: A Multimodal Approach for Bone Fracture Diagnosis by Zhihao Su, Yuhuai Zhou, Jianqun Zhou, Hanhua Cao, Huanping Zhang

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THE QUALITY OF DATA AND METADATA IN A DATAWAREHOUSE by Carmen Răduţ

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Associations of Environmental Pollutant Mixtures and Red Blood Cell Folate Concentrations: A Mixture Analysis of the U.S. Adult Population Based on NHANES Data, 2007–2016 by Michael Mascari, Katherine Reeves, Raji Balasubramanian, Zhenhua Liu, Nasser Laouali, Youssef Oulhote

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Structural Properties of Nickel Doped Cadmium Sulfide by B. Srinivasa Rao, B. Rajesh Kumar, G. Venkata Chalapathi, V. Rajagopal Reddy, T. Subba Rao

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Amine-functionalized cellulose-silica composites for the remediation of hexavalent chromium (Cr IV) in contaminated water by Mayenzeke Trueman Mazibuko, Stanley Chibuzor Onwubu, Phumlane Selby Mdluli, Vimla Paul, Mokhena Clement Teboho, Mokhothu Thabang

“…Adsorption method for Hexavalent chromium (Cr(VI) removal from domestic and industrial wastewater is widely desirable due to public health concern of the heavy metal. …”
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Systematic analysis of research on D-mannose and the prospects for its use in recurrent infections of the urinary tract in women of reproductive age by O. A. Gromova, I. Yu. Torshin, N. K. Tetruashvili

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Computer analysis of the emotional modality of 20 million publications in PUBMED database indicates ways to increase the effectiveness of pharmacotherapy by identifying pseudoscien... by V. A. Maximov, I. Yu. Torshin, O. A. Gromova, A. N. Galustyan, I. V. Gogoleva, T. R. Grishina, A. N. Gromov, A. G. Kalacheva, Z. D. Kobalava, V. M. Kodentsova, O. A. Limanova, S. I. Malyvskaya, K. V. Rudakov, I. S. Sardaryan, A. I. Sorokin, L. V. Stakhovskaya, N. I. Tapilskaya, N. K. Tetruashvili, L. E. Fedotova, A. K. Hadzhidis

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UPAYA PENINGKATKAN PRESTASI BELAJAR MATEMATIKA VOLUME PRISMA SEGI TIGA DAN TABUNG MELALUI MODEL PEMBELAJARAN MAKE A MATCH DI KELAS VI SDN 2 SUKOMULYO by TEMU RAHAYU

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High-dose vitamin D3 to improve outcomes in the convalescent phase of complicated severe acute malnutrition in Pakistan: a double-blind randomised controlled trial (ViDiSAM) by Javeria Saleem, Rubeena Zakar, Muhammad Salman Butt, Rameeza Kaleem, Asif Chaudhary, Jaya Chandna, David A. Jolliffe, Joseph Piper, Zaigham Abbas, Jonathan C. Y. Tang, William D. Fraser, Nick Freemantle, Andrew J. Prendergast, Adrian R. Martineau

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Intelligent Forecasting for Solar Flares Using Magnetograms from SDO/SHARP, SDO/HMI, and ASO-S/FMG by Xuebao Li, Hongwei Ye, Yanfang Zheng, Ting Li, Jiaben Lin, Shunhuang Zhang, Pengchao Yan, Yongshang Lv, Noraisyah Mohamed Shah, Xuefeng Li, Xiaotian Wang, Yingbo Liu, Rui Wang, Jinfang Wei, Changtian Xiang, Honglei Jin

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THE EFFECTS OF PERCEIVED RISK ON CONSUMER ATTITUDES, INTENTIONS AND BEHAVIOR REGARDING PORK PURCHASES IN HOCHIMINH CITY by Nguyễn Kim Nam, Ngô Quang Huân

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The analysis of MMP2, MMP3 and MMP9 matrix metalloproteinases genes polymorphism among Russian Caucasian patients with primary open-angle glaucoma by A.V. Shevchenko, V.F. Prokof’ev, V.I. Konenkov, O.V. Ermakova, A.N. Trunov

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Impact of vaccination status on the clinical course and outcomes of acute COVID-19 period: data from the international registry "Dynamics Analysis of Comorbidities in SARS-CoV-2 Su... by G. P. Arutyunov, E. I. Tarlovskaya, A. G. Arutyunov, D. S. Polyakov, Yu. M. Lopatin, A. I. Chesnikova, L. A. Balykova, A. R. Vaisberg, A. S. Galyavich, N. Yu. Grigorieva, V. B. Grinevich, I. V. Gubareva, I. V. Demko, A. V. Zharkov, D. N. Zaitsev, Z. F. Kim, V. L. Korobka, N. V. Lareva, E. V. Makarova, S. V. Malchikova, S. V. Nedogoda, A. G. Obrezan, A. G. Hovakimyan, S. V. Pereverzev, M. M. Petrova, I. G. Pochinka, K. V. Protasov, D. N. Protsenko, A. P. Rebrov, O. A. Rubanenko, D. Yu. Ruzanov, A. V. Svarovskaya, N. M. Selezneva, E. A. Smirnova, A. B. Sygraliev, O. V. Khlynova, I. I. Shaposhnik, D. A. Sh'ukarev, A. K. Abdrakhmanova, T. P. Abdualimov, A. V. Agafonov, V. G. Hakobjanyan, L. N. Allahkuliyeva, A. V. Aparkina, O. Yu. Barysheva, T. I. Batluk, A. S. Batchayeva, R. A. Bashkinov, Ya. A. Belenikina, I. V. Bikushova, A. Zh. Botabekova, S. N. Botova, V. O. Bochkareva, G. A. Bykova, K. R. Vagapova, V. V. Vasilev, N. N. Vezikova, K. S. Viktorov, V. V. Genkel, A. I. Girivenko, O. P. Girich, E. S. Godunko, N. V. Gordeeva, E. D. Gordeychuk, E. I. Gorshenina, E. V. Grigorieva, E. Yu. Gubareva, I. L. Davydkin, A. K. Duisenova, D. S. Evdokimov, L. S. Evdokimova, A. E. Zheldybayeva, Yu. D. Zimina, I. A. Zolotovskaya, E. Yu. Ivanchenko, A. K. Izhanova, M. V. Kazakovtseva, S. F. Ghazaryan, M. K. Kaidarbek, I. A. Karetnikov, N. A. Karoli, D. S. Kaskaeva, E. S. Kim, E. V. Kozlov, V. Yo. Koliev, M. I. Koliadich, D. Yu. Konstantinov, E. A. Konstantinova, A. K. Konussova, A. V. Korobka, A. A. Korolev, N. B. Kosacheva, Yu. A. Kravchuk, A. Yu. Kraposhina, T. V. Kryukova, A. S. Kuznetsova, K. V. Kuzmichev, O. Yu. Kuchiyash, Yu. I. Lebedeva, T. M. Levina, K. V. Levchenko, Artem Vyacheslavovich Levshin, A. A. Ledyaeva, T. V. Lisun, N. A. Lyubavina, M. V. Lyubimov, N. A. Magdeyeva, O. A. Mazhara, V. I. Maiseenko, A. S. Makarova, V. D. Ma-Van-de, A. A. Matuzkova, O. V. Mashkunova, E. S. Melnikov, N. B. Moiseenko, N. V. Mukha, N. M. Nikitina, D. V. Oblavatckii, I. A. Obukhova, O. V. Obukhova, Sh. O. Ospanova, S. S. Plastinina, V. A. Pogrebetskaya, D. V. Polyakov, E. V. Ponomarenko, L. L. Popova, M. V. Popov, A. O. Rubanenko, O. A. Rusinova, F. E. Rustamova, A. M. Sadykova, P. V. Seliverstov, S. Serikbolkyzy, D. A. Sinkevich, I. A. Solovieva, E. A. Stepina, E. I. Suchkova, D. S. Tokmin, A. A. Tolmacheva, D. A. Trofimov, M. A. Trubnikova, A. A. Tulichev, I. A. Tuchin, S. T. Ualieva, N. D. Ulanova, O. V. Fedorishina, A. I. Khaltskaya, S. H. Hamidov, L. N. Khokhlova, L. N. Khusainova, V. V. Tsoma, T. I. Chudinovskikh, А. O. Shabelsky, A. O. Shvidko, E. A. Shishkina, S. S. Shostak-Krickii, S. Yu. Sherbakov, M. I. Yarigina

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Use of Vision Transformer to Classify Sea Surface Phenomena in SAR Imagery by Junfei Xia, Roland Romeiser, Wei Zhang, Tamay Ozgokmen

“…The rapid advancement of satellite technology has led to a substantial increase in the volume of remote sensing data, particularly synthetic aperture radar (SAR) imagery, demanding efficient processing and analysis solutions. …”
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LET-SE2-VINS: A Hybrid Optical Flow Framework for Robust Visual–Inertial SLAM by Wei Zhao, Hongyang Sun, Songsong Ma, Haitao Wang

“…The proposed method processes Inertial Measurement Unit (IMU) data and camera data, utilizing pre-integration and RANdom SAmple Consensus (RANSAC) for precise feature matching. …”
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Process-Based Management in Public Administration: A Bibliometric Analysis by Gilbert Roland Alvarado-Arbildo, Hugo Henry Ruiz-Vásquez, Stevs Raygada-Paredes, Ví­ctor Arturo Jesús Castillo-Canani, Beny Pasquel-Flores, David Eduardo Burga-Pérez, Wu Koy Fon Chonn-Chang, David Miguel Melgarejo-Mariño, Edgar David Iturrarán-Sandoval, José Ricardo Young-Gonzales

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Typhoid conjugate vaccines: is a single dose enough for durable protection? by Vipin M. Vashishtha, Puneet Kumar

“…We have also reviewed TCV efficacy and durability data. Our analysis shows that the vaccines are effective, although immunity wanes after five years, especially in children under two. …”
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Multiclass Evaluation of Vision Transformers for Industrial Welding Defect Detection by Antonio Contreras Ortiz, Ricardo Rioda Santiago, Daniel E. Hernandez, Miguel Lopez-Montiel

“…These results, achieved with datasets of 2400 to 8000 images, highlight ViTs’ efficiency even with limited data. The findings underline the potential of ViTs to enhance manufacturing inspection processes by enabling faster, more reliable, and cost-effective automated solutions, reducing reliance on manual inspection methods.…”
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Artificial intelligence-driven classification method of grapevine major phenological stages using conventional RGB imaging by Ruben Íñiguez, Fikile Wolela, María Ignacia Gonzalez Pavez, Ignacio Barrio, Javier Tardáguila, Talitha Venter, Carlos Poblete-Echeverria

“…A dataset comprising 4,381 images was used to train and validate the models, incorporating data augmentation techniques to improve robustness. …”
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