Desenvolvimento — um conceito ultrapassado ou em renovação? Da teoria à prática e da prática à teoria by Rogério Roque Amaro

“…Whilst it is widely considered to mobilise the will for change and transformation in both societies and individuais, it has also served to assess and classify their level of progress and well-being. …”
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Physical Model Tests on Reinforced Loess Foundation Model Under Wetting and Loading by ZHANG Wan, MU Hongkun, LIU Fengyin, GUO Huaining, ZHAO Wei, XUE Yifeng

“…ObjectiveReinforcement method is utilized to treat the collapsible loess foundation in this study. …”
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TDOA-Based Source Collaborative Localization via Semidefinite Relaxation in Sensor Networks by Yongsheng Yan, Haiyan Wang, Xiaohong Shen, Ke He, Xionghu Zhong

“…We propose an alternative semidefinite programming method, which transforms the original ML problem into a convex one by relaxing nonconvex equalities into convex matrix inequalities. …”
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Screening of Germplasm Resources with Low-Phosphorus Tolerance During the Seedling Stage of Rice by Mengru Zhang, Ye Wang, Zexin Qi, Qiang Zhang, Huan Wang, Chenglong Guan, Wenzheng Sun, Fenglou Ling, Zhian Zhang, Chen Xu

“…The relevant indicators and low-phosphorus resistance characteristics of different rice varieties were comprehensively evaluated using principal component analysis, correlation analysis, membership function, and cluster analysis methods. …”
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Preparation of sulfonic acid functionalized metal organic frameworks and their application in the online solid phase extraction of parabens and sulfonamides in pre-cooked foods by Min Fang, Jianyang Ke, Zhaojie Wang, Qing Fu, Qing Yang, Lin Xu, Yuepeng Lu, Yong Yang, Xiaoming Jiang, Yongning Wu, Zhiyong Gong, Xin Liu

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Satellite Image Time-Series Classification with Inception-Enhanced Temporal Attention Encoder by Zheng Zhang, Weixiong Zhang, Yu Meng, Zhitao Zhao, Ping Tang, Hongyi Li

“…However, its effectiveness seems to diminish in the scenario of fine-grained classification among similar categories, for example, different crop types. Theoretically, most of the existing methods focus on only one type of temporal attention, either global attention or local attention, but actually, both of them are required to achieve fine-grained classification. …”
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RETRACTED ARTICLE: Partial differential equations of entropy analysis on ternary hybridity nanofluid flow model via rotating disk with hall current and electromagnetic radiative in... by Khalid Fanoukh Al Oweidi, Faisal Shahzad, Wasim Jamshed, Usman, Rabha W. Ibrahim, El Sayed M. Tag El Din, Afrah M. AlDerea

“…Before the solution was found using the finite difference method, complicated generated PDEs were transformed into corresponding ODEs (Keller Box method). …”
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Energy Trading in Local Energy Markets: A Comprehensive Review of Models, Solution Strategies, and Machine Learning Approaches by Sania Khaskheli, Amjad Anvari-Moghaddam

“…The increasing adoption of renewable energy sources and the emergence of distributed generation have significantly transformed the traditional energy landscape, leading to the rise of local energy markets. …”
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Prospective areas of didactic research: А problem statement. by M. V. Klarin, I. M. Osmolovskaya

“…Current educational practice largely functions independently of didactics: decisions on the selection of content, the methods and forms of instruction are often made at different levels and in different areas of education without a conceptual substantiation. …”
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Resurrecting Brinley Plots for a Novel Use: Meta-Analyses of Functional Brain Imaging Data in Older Adults by Ann M. Peiffer, Joseph A. Maldjian, Paul J. Laurienti

“…Preliminary results suggest that general cognitive slowing may be localized at the sensorimotor transformation in the precentral gyrus. Although this meta-analysis method is naturally used with imaging studies of aging, theoretically it may be applied to other study pairs (e.g., schizophrenic versus normal) or imaging datasets (e.g., PET).…”
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Study on multi-scale oil displacement mechanism polymer/nanoparticle composite flooding by Bei Wei, Bei Wei, Ningyu Zheng, Ningyu Zheng, Yu Xue, Yu Xue, Jian Hou, Jian Hou, Yongsheng Liu, Yongsheng Liu, Zhixin Guo, Zhixin Guo, Xuwen Qin, Xuwen Qin, Qingjun Du, Qingjun Du

“…To address these issues, we proposed a polymer/nanoparticle composite flooding method and investigated its feasibility through laboratory experiments. …”
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Causes of watershed drought analyzed using explainable deep learning: a case study of the Fenhe River Basin by Zixuan Chen, Zixuan Chen, Zixuan Chen, Xikun Wei, Guojie Wang, Yifan Hu, Haonan Liu, Jinman Zhang, Jinman Zhang, Jinman Zhang, Shuang Zhou, Shuang Zhou, Shuang Zhou, Zengbao Zhao, Zengbao Zhao, Zengbao Zhao, Yushan Liu, Yushan Liu, Yushan Liu

“…This study predicted daily-scale drought for the Fenhe River (FHR) Basin and applied the explainable artificial intelligence (XAI) method to the model’s prediction results. Daily-scale drought prediction can provide more timely and detailed drought information, while deep learning interpretable methods can help understand the impact of different predictors on droughts and improve the credibility of the model. …”
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Atmosphere-driven metal-support synergy in ZnO/Au catalysts for efficient piezo-catalytic hydrogen evolution by Di Wu, Yingxin He, Chi Lin, Bing Li, Jiangping Ma, Lujie Ruan, Yajie Feng, Chaogang Ban, Junjie Ding, Xiaoxing Wang, Danmei Yu, Li-Yong Gan, Xiaoyuan Zhou

“…Conversely, exposure to CO2 transforms the ZnO support into ZnCO3, adversely affecting its catalytic activity. …”
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Registration of 2D C-Arm and 3D CT Images for a C-Arm Image-Assisted Navigation System for Spinal Surgery by Chih-Ju Chang, Geng-Li Lin, Alex Tse, Hong-Yu Chu, Ching-Shiow Tseng

“…This research studies 2D-3D image registration methods to obtain the optimum transformation matrix between C-Arm and CT image frames. …”
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Transferable approaches to CRISPR-Cas9 induced genome editing in non-model insects: a brief guide by Hassan M. M. Ahmed, Lisha Zheng, Vera S. Hunnekuhl

“…Furthermore, we describe different molecular methods for genetic screening and the use of visible markers. …”
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LAWS OF FORMATION MOVEMENT PATTERNS MANAGEMENT BODY IN PHASE OF FLIGHT IN ATHLETES by A. V. Razuvanova, E. V. Koshelskaya, O. S. Smerdova, I. A. Karpova, E. V. Medvedeva, L. V. Kapilevich

“…Materials and methods. Regularities of movement patterns in the body control the flight phase of the athletes on the example of the long jump were studied by methods of Motion Tracking and electromyography. …”
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Molecular mechanisms of pain regulation in patients with osteoarthritis by E. V. Chetina, G. A. Markova, E. A. Taskina, E. P. Sharapova, N. G. Kashevarova, L. I. Alekseeva, V. V. Kolomatsky, M. A. Makarov, A. L. Logunov, S. A. Makarov, A. N. Kuzin

“…Objective: to study the mechanisms determining the level of pain on the basis of an analysis of the expression profiles of the genes involved in joint destruction, inflammation, and metabolic regulation in the blood of patients with osteoarthritis (OA) with different expression levels of the Mammalian Target Of Rapamycin (mTOR) gene and at different disease stages.Material and methods. …”
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Student Academic Competence Questionnaire by O.P. Merkulova

“…External criterion validity using the contrast group method is based on comparison of groups of undergraduate and graduate students, correlations with self-organization and academic motivation questionnaires (AMS). …”
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Holographic correlation functions from wedge by Tengzhou Lai, Ya-Wen Sun, Jia Tian

“…Additionally, we calculate the correlation functions for heavy operators directly by constructing backreacted bulk geometries for particle excitations through coordinate transformations from a conical solution. We find that the on-shell actions of these backreacted solutions accurately reproduce correlation functions, although they differ from those computed in Fefferman-Graham(FG) gauge. …”
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Protein sequence classification using natural language processing techniques by Huma Perveen, Julie Weeds

“…Conclusion Advanced NLP techniques, particularly ensemble methods like Voting classifiers, and transformer models show significant potential in protein classification, with sufficient training data and sequence similarity management being crucial for optimal performance. …”
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