Prediction of Multidimensional Poverty Status With Machine Learning Classification at Household Level: Empirical Evidence From Tanzania by Ngong'Ho Bujiku Sende, Snehanshu Saha, Leon Ruganzu, Saibal Kar

“…A variety of supervised machine-learning algorithms such as RBF Kernel in SVM, Linear Kernel in SVM, Polynomial Kernel in SVM, Random Forest, Logistic regression classifier, Decision tree, Gradient Boosting, K-Nearest Neighbours Classifier, Naïve Bayes Classifier, Artificial Neuron Network and Ensemble Learning Model were implemented to predict multidimensional poverty status for each dataset. …”
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EUROPEAN UNION AFTER THE CRISIS: DECLIN OR RENAISSANCE? by O. V. Butorina

“…We distinguish its four main consequences for the integration: 1) growing federalization of the euro zone, 2) a switch from multi-speed to a two- or three-tier integration model, 3) economization of decision-making process in the euro area, and 4) clearer demarcation of borders within the EU and with its neighbours. The rotation in the ECB Governing Council that may start in 2015, is likely to consolidate the leadership of the "hard core" countries in the decisionmaking process. …”
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Current status of African swine fever by Mary Louise Penrith

“…In 2007 African swine fever arrived in the Republic of Georgia, and has subsequently spread insidiously into other Transcaucasian countries, Russia and some of its neighbours. In 2014 it reached the Baltic States and Poland through infected wild boars, and has become established in several wild boar populations from which it is difficult to eradicate. …”
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Electronic Structure and Magnetic Coupling of Pure and Mg-Doped KCuF3 by Fausto Cargnoni, Simone Cenedese, Paolo Ghigna, Mario Italo Trioni, Marco Scavini

“…The perturbation induced by doping of KCuF3 with Mg is very strong and localized on the first shell of F neighbours. Mg has a very small influence on the ordering of the 3d orbitals of copper and on the Cu-Cu magnetic superexchange parameters but reduces significantly the absolute energy differences between the antiferromagnetic ground state and the ferromagnetic phase, in agreement with the experiment. …”
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Social support sources for people with palliative care needs at home: a scoping review by Trudy Schutter, Ian Koper, Kris Vissers, Jeroen Hasselaar

“…Results Social support to people at home with palliative care needs and their relatives is mainly provided by informal caregivers, namely family, friends and neighbours. These people providing social support is perceived as normal, natural and is expected by the recipient. …”
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Using Inertial Measurement Units and Machine Learning to Classify Body Positions of Adults in a Hospital Bed by Eliza Becker, Siavash Khaksar, Harry Booker, Kylie Hill, Yifei Ren, Tele Tan, Carol Watson, Ethan Wordsworth, Meg Harrold

“…Support Vector Machine (SVM) and K-Nearest Neighbours classifiers were trained using five different combinations of sensors (e.g., right wrist only, right and left wrist) to determine body positions. …”
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Regulating the Urban Commons: A Romanian Case Study of Improving Building Facades by Anamaria Vrabie, Rodica Ianole-Călin

“…The findings further acknowledge difficulties in managing mixed property and collective actions, but they also hint favourably towards the role of peer effects, expressed here as compliant neighbours’ behaviour. We interpret the results of this exploratory case study as a first step towards building a more comprehensive approach to serve as a toolkit in examining the development of innovative local policies in post-communist environments, through a combined research framework including also the significant contribution of behavioural insights, next to the traditional rational actor theories. …”
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Spatially-implicit modelling of disease-behaviour interactions in the context of non-pharmaceutical interventions by Notice Ringa, Chris T. Bauch

“…Here we introduce a pair approximation model of individual uptake of non-pharmaceutical interventions (NPIs) for an acute self-limiting infection, where susceptible individuals can learn the NPIs either from other susceptible individuals who are already practicing NPIs ('social learning'), or their uptake of NPIs can be stimulated by being neighbours of an infectious person ('exposure learning'). …”
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Huerto urbano Adelfas (Madrid, 24 de enero de 2021) by Claudia Antón Biezma

“…It is a big space, it gets sun light, neighbours water it twice per week and it is open to everyone. …”
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East Central Europe in the Federalist-Regional Concepts of the Polish Emigrants of the Second Half ofthe 20th century by Barbara Stankevič

“…The journals "Culture" and "Notebooks of History", edited by Giedroyc, presented the concept of ULB (to name the former lands of the Grand Duchy of Lithuania - Ukraine, Lithuania, Belarus) and the geopolitical programme of the peaceful co-existence of Poland with its Eastern neighbours in the "subregion" of East Central Europe. …”
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Improving of the Generation Accuracy Forecasting of Photovoltaic Plants Based on <i>k</i>-Means and <i>k</i>-Nearest Neighbors Algorithms by P. V. Matrenin, A. I. Khalyasmaa, V. V. Gamaley, S. A. Eroshenko, N. A. Papkova, D. A. Sekatski, Y. V. Potachits

“…Then, for each cluster, its own machine learning model was trained for generation forecasting and the k-nearest neighbours algorithm was built to attribute the current conditions at the model operation stage to one of the formed clusters. …”
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Care, conflict, and coexistence: Human–wildlife relations in community forests by Madison Stevens, Shalini Rawat, Terre Satterfield

“…These multifaceted human–wildlife relationships, shaped by encounters in a shared landscape, inform communities' decisions and coping strategies for coexisting with their wild neighbours. Approaches to mitigating conflict that prioritize separating people from wildlife and emphasize the state's responsibilities for wildlife management may undermine communities' roles as conservation actors. …”
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Unveiling user identity across social media: a novel unsupervised gradient semantic model for accurate and efficient user alignment by Yongqiang Peng, Xiaoliang Chen, Duoqian Miao, Xiaolin Qin, Xu Gu, Peng Lu

“…Furthermore, GSMUA compensates for missing user profile attributes by utilising profile information from user neighbours, thereby reducing the negative impact of missing user profile attributes on model performance. …”
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Huerto urbano Adelfas (Madrid, 24 de enero de 2021) by Claudia Antón Biezma

“…It is a big space, it gets sun light, neighbours water it twice per week and it is open to everyone. …”
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Metode Ensemble Classifier untuk Mendeteksi Jenis Attention Deficit Hyperactivity Disorder (SDHD) pada Anak Usia Dini by indri - ati, ari kusyanti

“…Pada tahap klasifikasi setiap data akan dihitung menggunakan  K-Nearest Neighbour (KNN), Fuzzy K-Nearest Neighbour (FKNN) dan Neighbour Weighted K-Nearest Neighbour (NWKNN).  …”
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Environmental microbial communications in gram-positive and gram-negative bacteria by P. Srikanth, D. Sivakumar, J. Nouri

“…Without the ability to detect and react to the presence of their neighbours, microbial communities would not be able to adjust to changing environmental conditions or carry out collective actions that are essential for survival. …”
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Improving machine learning predictions to estimate fishing effort using vessel's tracking data by J. Samarão, A. Moreno, M.B. Gaspar, M.M. Rufino

“…We found that a simple moving average applied to speed, employed as a pre-processing technique using ten neighbouring points, showed up to 3 % improvement in results. …”
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The report of Chief of the General Staff of USSR marshal Alexander Jegorov about his visit in Lithuania, Latvia, and Estonia on 15th-26th of February, 1937 by Zenonas Butkus, Magnus llmjarv

“…Jegorov's assessment of the Lithuanian armed forces was more critical and less favourable than that of its both Northern neighbours. The published source supplements and adjusts the existing data related to the relations between the Baltic States and the USSR. …”
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AICpred: Machine Learning-Based Prediction of Potential Anti-Inflammatory Compounds Targeting TLR4-MyD88 Binding Mechanism by Lucindah N. Fry-Nartey, Cyril Akafia, Ursula S. Nkonu, Spencer B. Baiden, Ignatus Nunana Dorvi, Kwasi Agyenkwa-Mawuli, Odame Agyapong, Claude Fiifi Hayford, Michael D. Wilson, Whelton A. Miller, Samuel K. Kwofie

“…Predictive models were trained using random forest, adaptive boosting (AdaBoost), eXtreme gradient boosting (XGBoost), k-nearest neighbours (KNN), and decision tree models. To handle imbalance within the training data, resampling techniques such as random under-sampling, synthetic minority oversampling technique, and the random selection of 5000 instances of the majority class were employed. …”
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La ferme à enclos quadrangulaire du Bois des Olivettes à Roncourt (Moselle) : une catégorie d’établissement romain largement diffusée dans la vallée mosellane by Gaël Brkojewitsch, Brice Chevaux

“…Quite often, they are associated –or at least neighbours– to large villae. They are defined by the presence of buildings located in a large enclosed courtyard. …”
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