Epigenetics in Plant Response to Climate Change by Wei Zhou, Min Wang, Lishan Wang, Yinghui Liu, Zaimin Tian, Linan Xie, Yu Wang

“…Given the unprecedented rate of contemporary climate change, epigenetic mechanisms may exert a more immediate and flexible influence than genetic modifications. …”
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A study on green innovation and entrepreneurship in the dual carbon era and its implications for the energy market by Jingjing Sun, Xin Guan, Zeyu Wang, Jiali Zhang, Yepei Tan, Peng Nie

“…In the realm of complex network analysis, market participants are categorized into conservative, moderate, and innovative groups, and their market behavior patterns are examined. In the data mining and machine learning phases, this study constructed a predictive model with an accuracy rate of 85%, forecasting the impact of future green innovation and entrepreneurship on market demand and energy supply. …”
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Peltophorum pterocarpum flower mediated synthesis of silver nanoparticles and its catalytic degradation of Acid Blue 113 dye by Ramesh Vinayagam, Stuthi A. Shetty, Gokulakrishnan Murugesan, Louella Concepta Goveas, Thivaharan Varadavenkatesan, Raja Selvaraj

“…Catalytic studies showed rapid degradation of Acid Blue 113 dye in the presence of NaBH4, achieving a rate constant of 0.247 min−1 at 30 mg/L. These results demonstrate the environmental remediation potential of biogenically synthesized AgNPs and underscore the benefits of sustainable green synthesis approaches for industrial wastewater treatment.…”
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Features of Investment Activity in Agriculture in the South of Russia and Ways of its Activation by Vladimir Ivanovich Trukhachev, Igor Yurievitch Sklyarov, Yuliya Mikhailovna Sklyarova, Vitaliy Zelimkhanovich Mazloev, Anna Vladimirovna Volkogonova

“…The fall in the rouble exchange rate to foreign currencies made foreign agricultural products and food too expensive on the Russian market and sales fell sharply in Russia. …”
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Acute Pesticide Poisoning in Children: Hospital Review in Selected Hospitals of Tanzania by Elikana Lekei, Aiwerasia V. Ngowi, Leslie London

“…The annual APP incidence rate was 1.61/100,000. Conclusion. APP is common among children in this region of Tanzania. …”
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A robust and adaptive framework for interaction testing in quantitative traits between multiple genetic loci and exposure variables. by Julian Hecker, Dmitry Prokopenko, Matthew Moll, Sanghun Lee, Wonji Kim, Dandi Qiao, Kirsten Voorhies, Woori Kim, Stijn Vansteelandt, Brian D Hobbs, Michael H Cho, Edwin K Silverman, Sharon M Lutz, Dawn L DeMeo, Scott T Weiss, Christoph Lange

“…Using extensive simulation studies, we demonstrate that RITSS controls the type 1 error rate in a wide range of scenarios, and we show how the screening strategy influences statistical power. …”
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Nonlinear variations and drivers of vegetation NPP on the Tibetan Plateau: Interaction of natural and human factors. by Jie Tang, Xinghong Peng, Wenfu Peng

“…Results revealed nonlinear fluctuations in NPP during the study period, ranging from 184.06 to 208.53 gC m-2.a-1, with an average annual growth rate of 1.16 gC m-2.a-1. Significant spatial differences were observed, with higher NPP in the grasslands and forests of the southeast, while lower productivity was found in the alpine deserts of the northwest. …”
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Optimization of CNN Activation Functions using Xception for South Sulawesi Batik Classification by Aswan Aswan, Eva Yulia Puspaningrum, Billy Eden William Asrul

“…With identical hyperparameters including a learning rate of 0.001, a batch size of 64 and training for 100 epochs using the Adam optimizer, ReLU, ELU, Leaky ReLU and Swish activation functions were compared. …”
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Residential Location Preferences in a Post-Conflict Context: An Agent-Based Modeling Approach to Assess High-Demand Areas in Kabul New City, Afghanistan by Vineet Chaturvedi, Walter Timo de Vries

“…The model simulates three alternative growth rate scenarios, i.e., ambitious, moderate, and steady. …”
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Dynamic Transitions in Neuronal Network Firing Sustained by Abnormal Astrocyte Feedback by Yangyang Yu, Zhixuan Yuan, Yongchen Fan, Jiajia Li, Ying Wu

“…Therefore, our results prove that astrocyte feedback can regulate the firing of the neuronal network, and when the astrocyte network develops gliosis, there will be an increase in the induction rate of epileptic seizures.…”
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Anomaly Detection in Nuclear Power Production Based on Neural Normal Stochastic Process by Linyu Liu, Shiqiao Liu, Shuan He, Kui Xu, Yang Lan, Huajian Fang

“…On the Power Generation System (PGS) dataset with a 15% missing rate, our model achieves an F1 score of 83.72%, surpassing all baseline methods and maintaining strong performance across multiple industrial subsystems.…”
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Initial Stages of Electrocrystallization of Coatings with Tin and Tin-Copper and Tin-Copper-Ultradisperse Diamond Alloys by I. I. Kuzmar, D. Y. Gulpa, L. K. Kushner

“…With an increase in electrocrystallization over-voltage, the rate of nucleation increases and their size decreases, while fine-grained and dense deposits are formed. …”
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Using Eye Tracking to Assess Reading Performance in Patients with Glaucoma: A Within-Person Study by Nicholas D. Smith, Fiona C. Glen, Vera M. Mönter, David P. Crabb

“…Reading duration and saccade rate were significantly different on average in the worse eye when compared to the better eye (P<0.001) in 14 patients with glaucoma that had median (interquartile range) between-eye difference in mean deviation (MD; a standard clinical measure for VF loss) of 9.8 (8.3 to 14.8) dB; differences were not related to the size of the difference in MD between eyes. …”
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User Perception and Acceptance of Central Bank Digital Currency in Developed and Developing Countries: An Empirical Study using Technology Acceptance Model.

“…Furthermore, the study highlights the importance of understanding individuals' intention to use CBDC in the digital economy era. The growth rate of mobile payments in China has been significant over the past decade, indicating the increasing importance of mobile payments and digital currencies in the Chinese economy and the potential for further growth in the future. …”
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Global spatio-temporal ERA5 precipitation downscaling to km and sub-hourly scale using generative AI by Luca Glawion, Julius Polz, Harald Kunstmann, Benjamin Fersch, Christian Chwala

“…SpateGAN-ERA5 enhances ERA5 precipitation data from 24 km and 1 h to 2 km and 10 min, delivering high-resolution rainfall fields with realistic spatio-temporal patterns and accurate rain rate distribution, including extremes. …”
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ENHANCING 〖PM〗_(2.5) PREDICTION IN KEMAYORAN DISTRICT, DKI JAKARTA USING DEEP BILSTM METHOD by Nabila Karin, Gumgum Darmawan, Triyani Hendrawati

“…The optimal parameters, which comprised 24 timesteps, Adam optimizers with a learning rate of 0.001, 16 batch sizes, 1000 epochs, and ReLU activation functions across multiple BiLSTM layers, showcased the model’s effectiveness in forecasting the concentration in Kemayoran District, DKI Jakarta, on November , 2023.…”
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The impact of COVID-19 on clinical research for Neglected Tropical Diseases (NTDs): A case study of bubonic plague. by Tsinjo Fehizoro Rasoanaivo, Josephine Bourner, Ravaka Niaina Randriamparany, Théodora Mayouya Gamana, Voahangy Andrianaivoarimanana, Mily Harijaona Raherivelo, Harivelo Randriamampionona, Minoarisoa Rajerison, Mihaja Raberahona, Alex Paddy Salam, Tansy Edwards, Piero L Olliaro, Rindra Vatosoa Randremanana

“…<h4>Methods</h4>To understand the impact of the COVID-19 pandemic on the trial accrual rate, we documented changes in patterns of all-cause consultations that took place before and during the pandemic at health centres in two districts of the Amoron'I Mania region of Madagascar where the trial is underway. …”
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Melanoma Skin Lesion Classification Using Neural Networks: A systematic review by ahmed hammo, Mohammed Younis

“…Therefore, detection of this disease must be early and sound due to the high mortality rate. It is driven by researchers' desire to use computers to obtain accurate diagnostic systems to help diagnose and detect this disease early. …”
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MULTI-MODEL STACK ENSEMBLE DEEP LEARNING APPROACH FOR MULTI-DISEASE PREDICTION IN HEALTHCARE APPLICATION by Bhaskar Adepu, T. Archana

“…The suggested deep learning algorithms' performance is evaluated using criteria such as precision, specificity, sensitivity, accuracy, and error rate. This assessment demonstrates the potential of the recommended method to significantly contribute to the healthcare system by offering consistent and reliable predictions across various types of illnesses, as shown in a comparative analysis against existing models.…”
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Finding the Context of High‐Risk Behavioral Factors and the Effectiveness of Addiction Treatment Centers in Preventing the Transmission of Hepatitis C Virus Among Injecting Drug Ad... by Neda Asadi, Sirous Pourkhajoei

“…The studied IDUs reported minor rate of risky injecting and sexual behavior after participation in MMT program. …”
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