Closing the Plio-Pleistocene ¹³C cycle in the 405 kyr periodicity by isotopic signatures of geological sources by P. Köhler

“…Alternatively, the suggested impact of land ice or sea level on volcanic activity might also be influential for the <span class="inline-formula">¹³</span>C cycle. …”
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Transfer learning with class activation maps in compositions driving plaque classification in carotid ultrasound by Georgia D. Liapi, Christos P. Loizou, Maura Griffin, Constantinos S. Pattichis, Constantinos S. Pattichis, Andrew Nicolaides, Efthyvoulos Kyriacou

“…Dark areas (GS ≤ 25) or JBAs (whose presence was verified priorly, by an experienced vascular surgeon) were found influential for the understanding of both the ASY and the SY plaques. …”
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Spatial planning strategies and community behavior towards flood control by R. Dani, Sujianto ., Nofrizal ., B. Amin

“…This oversight represents a significant weakness in flood mitigation strategies, as those most vulnerable to flooding are frequently the ones whose needs are neglected in the planning process. It is crucial that effective flood management and disaster response prioritize socio-economic considerations as a fundamental principle. …”
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Sustainability index analysis of microalgae cultivated in biorefinery palm oil mill effluent by A. Santoso, T. Handayani, D. Pinardi, K. Kusrestuwardani, N. Widyastuti, I. Djarot, J. Haryanti, A. Sitomurni, H. Apriyanto

“…BACKGROUND AND OBJECTIVES: Palm oil mill effluent is a liquid waste produced at a palm oil mill industry during the production process containing abundant organic pollutants such as nitrogen and phosphorus that will be harmful to the environment. …”
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Sistem Pengambilan Keputusan dalam Penentuan Kelas Jabatan Fungsional Umum (JFU) Pegawai Negeri Sipil (PNS) Menggunakan Metode Multi Rough Set dan Fuzzifikasi by Asri Yulianti

“…Abstract A Civil Servant in government agencies is required to have the competency or ability to be able to perform work effectively and efficiently in accordance with the field and scope of work. In fact, the process of determining the competency and class of works is very influential for the process of placement of General Functional Works of a Civil Servant. …”
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Challenges in setting the environmental agenda in Iran by Maryam Esmaeili Fard, Human Liaghati, Ahmad Saie, Hamidreza Malek Mohammadi

“…What is meant by understanding the problem and including of it on the agenda is a process by which ideas and issues are raised through various political institutions to be taken into consideration by a political entity such as the legislative or judicial body. …”
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Navigating the future of agri-food supply chain: A conceptual framework using bibliometric review by Abdul Kafi, Nizamuddin bin Zainuddin, Mohd Fitri Mansor, Mohamed Najib Bin Salleh, Adam bin Mohd Saifudin, Nurhaizal Azam Arif, Syairah Aimi Shahron, Ravi Ramasamy, Ibrahim Hassan mohamud

“…A rigorous inclusion and exclusion process was carried out by using articles whose titles contained only 'agri-food' and 'supply chain' terms. …”
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Spatiotemporal dynamics of soil moisture and the occurrence of hysteresis during seasonal transitions in a headwater catchment by Shangqiang Hui, Li Guo, Haochen Liu, Xuemei Wu, Ping Lan, Elizabeth W. Boyer, Carlos R. Mello, Hongxia Li

“…Spatiotemporal dynamics of soil moisture and its hysteresis behavior are crucial for the integration of soil, vegetation, and hydrological processes in headwater catchments. While extensive research has been conducted on soil moisture patterns within distinct dry or wet seasons, the transitions between these seasons have received relatively little attention. …”
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Alloimmune Causes of Recurrent Pregnancy Loss: Cellular Mechanisms and Overview of Therapeutic Approaches by Cristina Uța, Alexandru Tîrziu, Elena-Larisa Zimbru, Răzvan-Ionuț Zimbru, Marius Georgescu, Laura Haidar, Carmen Panaitescu

“…In the early stages, inflammation supports processes such as trophoblast invasion and spiral artery remodeling, but this must be tempered to prevent immune rejection of the fetus. …”
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Monitoring Vegetation Dynamics and Driving Forces in the Baijiu Golden Triangle Using Multi-Decadal Landsat NDVI and Geodetector Modeling by Miao Zhang, Yuanjie Deng, Yifeng Hai, Hang Chen, Aiting Ma, Wenjing Wang, Lu Ming, Huae Dang, Minghong Peng, Dingdi Jize, Cuicui Jiao, Mei Zhang

“…This suggests that urbanization not only directly impacts vegetation but may also exert indirect effects on the ecosystem by altering regional hydrological and climatic processes. The results indicate that ecological protection policies in the BGT have yielded some success; however, vegetation fragmentation and ecological pressures stemming from urban expansion remain significant challenges. …”
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Bibliometric exploration of green synthesized silver nanoparticles for antibacterial activity by Abdulrahman Sani Aliero, Siti Halimah Hasmoni, Abdurrashid Haruna, Mustapha Isah, Nik Ahmad Nizam Nik Malek, Nurliyana Ahmad Zawawi

“…Articles with higher total link strength indicate their influential nature and highly valued research content. …”
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Leveraging explainable AI to predict soil respiration sensitivity and its drivers for climate change mitigation by Pierfrancesco Novielli, Michele Magarelli, Donato Romano, Pierpaolo Di Bitonto, Anna Maria Stellacci, Alfonso Monaco, Nicola Amoroso, Roberto Bellotti, Sabina Tangaro

“…In this study, we applied explainable artificial intelligence (XAI) to machine learning models to predict soil respiration sensitivity (Q10) and uncover the key factors driving this process. Using SHAP (SHapley Additive exPlanations) values, we identified glucose-induced soil respiration and the proportion of bacteria positively associated with Q10 as the most influential predictors. …”
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Prefixes of attitude in the class-changing function in the English language by Pantić Irena M.

“…As the above result suggests, this formation pattern is not greatly influential and productive but it has potential.…”
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Real time intelligent garbage monitoring and efficient collection using Yolov8 and Yolov5 deep learning models for environmental sustainability by Mohammed M. Abo-Zahhad, Mohammed Abo-Zahhad

“…Abstract Effective waste management is currently one of the most influential factors in enhancing the quality of life. …”
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Clinical prediction of intravenous immunoglobulin-resistant Kawasaki disease based on interpretable Transformer model. by Gahao Chen, Ziwei Yang

“…Current machine learning (ML) models demonstrate suboptimal predictive performance in KD treatment response prediction, primarily due to their limited ability to effectively process categorical variables and interpret tabular clinical data. …”
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Development and Validation of Quantile Regression Forests for Prediction of Reference Quantiles in Handgrip and Chair‐Stand Test by Giulia Giordano, Luca Mastrantoni, Francesco Landi, The Lookup 8+ Study Group

“…The predictive outputs of these models may serve as surrogate biomarkers of the aging process, capturing functional decline.…”
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Comparative analysis of multi-zone peritumoral radiomics in breast cancer for predicting NAC response using ABVS-based deep learning models by Minfang Wang, Wanjun Chen, Ruiping Ren, Yuanwei Lin, Jiawen Tang, Meng Wu

“…Pre-treatment ABVS images were processed to extract radiomic features from five regions of interest (ROIs): the intratumoral region (R0) and four consecutive peritumoral zones (R2-R8) extending outward at 2-mm intervals. …”
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Bureaucracy from the Human Rights Perspective and Its Effect on Public Service by Akmal Akmal, Henni Muchtar

“…Data were collected through questionnaires that have been validated and processed through techniques Path-Analysis with SPSS version 16. …”
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Ambient temperature influenced co-expression network of major developmental, circadian, and photoreceptor genes in bread wheat by Tibor Kiss, Ádam D. Horváth, András Cseh, Zita Berki, Krisztina Balla, Marianna Mayer, Viola Tóth, Ildikó Karsai

“…Abstract The developmental process of bread wheat comprises of two major phases: the generative development of the apices from double ridge to terminal spikelet formation, followed by the intensive stem elongation. …”
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Tuning the ICON-A 2.6.4 climate model with machine-learning-based emulators and history matching by P. Bonnet, L. Pastori, M. Schwabe, M. Giorgetta, F. Iglesias-Suarez, V. Eyring, V. Eyring

“…<p>In climate model development, “tuning” refers to the important process of adjusting uncertain free parameters of subgrid-scale parameterizations to best match a set of Earth observations, such as the global radiation balance or global cloud cover. …”
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