Nitrogen Efficiency and Nutrient Absorption by a Sorghum-Oats Forage Succession by Rasiel Restelatto, Paulo Sergio Pavinato, Laércio Ricardo Sartor, Suelen Maria Einsfeld, Fernanda Paula Baldicera

“…Balance between nutrient uptake by the crop and the amount of applied fertilizer is desired in a production system, and this measurement can predict the nutrient use efficiency. The present study aimed to evaluate nitrogen- (N-) use and recovery efficiency and extraction of N, phosphorus (P), and potassium (K) by sorghum (Sorghum bicolor) and black oat (Avena strigosa) forages under nitrogen fertilization in three consecutive crop cultivation. …”
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Transcriptome signature in the blood of neuromyelitis optica spectrum disorder under steroid tapering by Ryohei Yamamura, Makoto Kinoshita, Yoshiaki Yasumizu, Yoshiaki Yasumizu, Yoshiaki Yasumizu, Tomohiro Yata, Keigo Kihara, Daisuke Motooka, Daisuke Motooka, Naoyuki Shiraishi, Yasuko Sugiyama, Shohei Beppu, Hisashi Murata, Naoshi Koizumi, Itsuki Sano, Toru Koda, Tatsusada Okuno, Hideki Mochizuki

“…However, there are no biomarkers that predict relapses associated with steroid tapering; therefore, it is critical to identify potential indicators of disease activity. …”
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Evaluation of Protocol Biopsy Utility 12 Months after Renal Transplantation: A Multicenter Observational Analysis by Bruno Moulin, Pierre Merville, Karine Renaudin, David Buob, Sophie Ferlicot, Michel Delahousse, Jacques Dantal, Laetitia Albano, Christelle Barbet, Georges Mourad, Laure-Hélène Noel

“…In the SB group, slight nonspecific changes were observed in 51 cases, rejection (acute or chronic) in 6 cases, CNI-related toxicity in 15 cases, recurrence of initial disease in two cases, and interstitial fibrosis/tubular atrophy (IF/TA) in 83 cases (71.6%), of which 35 cases (30.2%) were grade II/III lesions. eGFR <50 mL/min/1.73 m² at month 6 predicted IF/TA grade II or III (OR 3.85, 95% CI 1.64, 9.05, 𝑃<0.002). …”
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Data-driven exploration of weak coordination microenvironment in solid-state electrolyte for safe and energy-dense batteries by Zhoujie Lao, Kehao Tao, Xiao Xiao, Haotian Qu, Xinru Wu, Zhiyuan Han, Runhua Gao, Jian Wang, Xian Wu, An Chen, Lei Shi, Chengshuai Chang, Yanze Song, Xiangyu Wang, Jinjin Li, Yanfei Zhu, Guangmin Zhou

“…Li | |sulfurized polyacrylonitrile (SPAN) cell using solid-state polymer electrolytes with predicted Co(dimethylformamide)2Ni(CN)4 delivers an initial discharge capacity of 1264 mAh g−1 with a capacity retention of 65% after 500 cycles at 0.2 C (335 mA g−1), at 30 °C ± 3 °C. …”
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Dynamics and diversity of vaginal microbiota in bacterial vaginosis among Thai patients treated with metronidazole by Auttawit Sirichoat, Pranom Buppasiri, Kiatichai Faksri, Viraphong Lulitanond

“…Conclusions: This study provides valuable insights into the structure and dynamics of the VMB in Thai women with BV before and after treatment, offering potential markers for predicting treatment outcomes.…”
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Drilling characteristics optimization of polymer composite fortified with eggshells using box-Behnken design and zebra optimization algorithm by B. Deepanraj, A.M. Saravanan, N. Senthilkumar, Abdul Aziz Afzal, Abdul Rahman Afzal

“…Desirability analysis provides the multi-criteria optimization, making an ideal condition of 912.14 rpm of RS, 0.054 mm/rev of FS, and 24.25 % ESP addition, which predicts an MRR of 0.274 mm3/min and SR of 3.102 µm. …”
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Effect of preoperative right ventricular dysfunction and dilatation on survival after left ventricular surgical restoration by Abdelhameed Elsayed, Murtadha H. Alawami, Ismail M. Elnaggar, Tamer N. Mohamed, Musab Kiddo, Mostafa A. Shalaby, Khaled A. Alotaibi, Amr A. Arafat

“…Conclusions This study underscores the importance of comprehensive preoperative evaluation of RV dimensions and function in predicting outcomes after LVSR, emphasizing the need for tailored management strategies for patients with RV abnormalities.…”
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Recovery Analysis of Sequentially Irradiated and NBT-Stressed VDMOS Transistors by Snežana Djorić-Veljković, Emilija Živanović, Vojkan Davidović, Sandra Veljković, Nikola Mitrović, Goran Ristić, Albena Paskaleva, Dencho Spassov, Danijel Danković

“…A particular attention was paid to analyzing Δ<i>V</i>_T with a focus on predicting the lifetime. In practical applications, especially under pulsed operation, prior stresses altered the device’s thermal and electrical performance. …”
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An algorithm for identifying causes of reoperations after orthopedic fracture surgery in health administrative data: a diagnostic accuracy study using the Danish National Patient R... by Signe S Jensen, Anders B Rønnegaard, Per H Gundtoft, Søren Kold, Bjarke Viberg

“…Results: We identified 2,347 possible reoperations; 2,212 were validated as true reoperations by review of patient record, i.e., a 94% positive predictive value (PPV). However, the coding for the causes of these reoperations was inaccurate. …”
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Dynamic recrystallization and mechanical behavior of Mg alloy AZ31: Constraints from tensile tests with in-situ EBSD analysis by Boissonneau, Gaëtan, Tommasi, Andréa, Barou, Fabrice, Lopez-Sanchez, Marco Antonio, Montagnat, Maurine

“…Comparison of the observed texture evolution with predictions by polycrystal plasticity simulations without DRX shows that DRX-induced changes in texture counteract the geometrical hardening due to the texture evolution resulting from dislocation glide. …”
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Modeling quinoa growth under saline and water-limiting conditions using SWAP-WOFOST by Diana C. Estrella Delgado, Tom De Swaef, Jan Vanderborght, Eric Laloy, Gerda Cnops, Maarten De Boever, Abdelaziz Hirich, Ayoub El Mouttaqi, Sarah Garré

“…The salinity stress function of SWAP effectively represents these tolerance mechanisms and accurately predicts the impact on yield, under arid conditions. …”
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Impact of Tacrolimus, Sirolimus, Age, and Body Mass Index on the Occurrence of Skin Cancer and Islet Dysfunction After Transplantation by Christopher Orr, Jeannette Stratton, Mohamed El-Shahawy, Elena Forouhar, Alice Peng, Gagandeep Singh, Keiko Omori, Meirigeng Qi, Fouad Kandeel

“…By calculating the maximum safe exposure (MSE) to tacrolimus % according to patient age and BMI, we found that cumulative months spent above MSE was predictive of skin cancer (1.20-fold increase, P = 0.003). …”
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TraxVBF: A hybrid transformer-xLSTM framework for EMG signal processing and assistive technology development in rehabilitation by Seyyed Ali Zendehbad, Athena Sharifi Razavi, Marzieh Allami Sanjani, Zahra Sedaghat, Saleh Lashkari

“…This allows the model to predict movement trajectories accurately, enabling motor learning and functional recovery of patients through real time feedback without the expensive hardware. …”
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Deep Learning and Automatic Detection of Pleomorphic Esophageal Lesions—A Necessary Step for Minimally Invasive Panendoscopy by Miguel Martins, Miguel Mascarenhas, Maria João Almeida, João Afonso, Tiago Ribeiro, Pedro Cardoso, Francisco Mendes, Joana Mota, Patrícia Andrade, Hélder Cardoso, Miguel Mascarenhas-Saraiva, João Ferreira, Guilherme Macedo

“…The sensitivity, specificity, accuracy, positive and negative predictive value (PPV and NPV), area under the conventional receiver operating characteristic curve (AUC-ROC), and precision–recall curve (AUC-PR) were calculated per run. …”
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Associations between Macular OCT Angiography and Nonproliferative Diabetic Retinopathy in Young Patients with Type 1 Diabetes Mellitus by Nina C. B. B. Veiby, Aida Simeunovic, Martin Heier, Cathrine Brunborg, Naila Saddique, Morten C. Moe, Knut Dahl-Jørgensen, Hanna D. Margeirsdottir, Goran Petrovski

“…Our objective was to confirm if OCTA parameters can predict the development of nonproliferative diabetic retinopathy (NPDR) and to clarify if any single OCTA parameter is associated with NPDR independently of well-known risk factors in young type 1 diabetes (T1D) patients. …”
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Unveiling shadows: A data-driven insight on depression among Bangladeshi university students by Sanjib Kumar Sen, Md. Shifatul Ahsan Apurba, Anika Priodorshinee Mrittika, Md. Tawhid Anwar, A.B.M. Alim Al Islam, Jannatun Noor

“…Seven machine learning models, including Support Virtual Machine (SVM), K-Nearest Neighbor (K-NN), Gaussian Naive Bayes (GNB), Decision Tree (DT), Random Forest Classifier (RFC), Artificial Neural Network (ANN), and Gradient Boosting (GB), were trained and tested using the collected data (n = 750) to identify the most effective method for predicting depression. After rigorous analysis, Random Forest emerged as the best-performing algorithm, exhibiting remarkable accuracy (87%), precision (78%), recall (95%), and f1-score (86%). …”
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Quantifying Baryonic Feedback on the Warm–Hot Circumgalactic Medium in CAMELS Simulations by Isabel Medlock, Chloe Neufeld, Daisuke Nagai, Daniel Anglés-Alcázar, Shy Genel, Benjamin D. Oppenheimer, Xavier Sims, Priyanka Singh, Francisco Villaescusa-Navarro

“…Cosmological simulations rely on subgrid models that produce significantly different predictions. Understanding how models of stellar and active galactic nucleus (AGN) feedback affect baryon behavior across different halo masses and redshifts is essential. …”
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Optimizing Reversible Phase‐Transformation of FeS2 Anode via Atomic‐Interface Engineering Toward Fast‐Charging Sodium Storage: Theoretical Predication and Experimental Validation... by Wenxi Zhao, Yanbing Zhou, Hao Zhou, Xinqin Wang, Shengjun Sun, Xun He, Yongsong Luo, Binwu Ying, Yongchao Yao, Xiaoqing Ma, Xuping Sun

“…Particularly, SAs Mn@NC with Mn‐Nx coordination center can reduce the decomposition barrier of Na2S and NaxFeS2 to further accelerate reversible phase transformation of Fe/Na2S→NaFeS2→FeS2 and polysulfides decomposition. As predicted, such FeS2/SAs Mn@NC showcases outstanding rate capability and fascinating cyclic durability. …”
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Allometric models for estimating aboveground biomass and carbon stocks of the semi-arid savanna woody species, Detarium microcarpum Guill. et Perr. by Adama Taonda, Issouf Zerbo, Innocent Charles Emmanuel Traore, Fousseni Folega, Anny Estelle N'Guessan, Justin N'Dja Kassi, Adjima Thiombiano

“…The stem requires ht with the dbh (dbh2*ht) in the Sudano-Sahelian zone.The allometric models established to predict D. microcarpum biomass wereTAGB = e4.4002 (dbh*dbh*h) 0.9456 + e-3.5219 (dbh)2.4007 + e-2.8845(dbh)1.3465 in the Sudanian zone and TAGB = e-4.1053 (dbh)2.4222 + e-5.2567(dbh)2.9539 + e-2.9894(dbh)1.5285 for the Sudano-Sahelian climatic zone. …”
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X-Ray/Radio Quasiperiodic Pulsations Associated with Plasmoids in Solar Flare Current Sheets by Pankaj Kumar, Judith T. Karpen, Joel T. Dahlin

“…The flux rope exhibits evidence of helical kink instability, with the formation and ejection of multiple plasmoids in the flare current sheet, as predicted in an MHD simulation of a kink-unstable flux rope. …”
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