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Journal articles on the topic 'Cluster weighted mod'

Author: Grafiati

Published: 9 March 2023

Last updated: 31 July 2025

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1

Dou, Nan, Evaniya Shakya, Raphia Ngoutane, et al. "Trends and Influencing Factors of Complementary Feeding Practices in Niger: An Analysis of National Surveys From 2000 – 2018." Current Developments in Nutrition 5, Supplement_2 (2021): 639. http://dx.doi.org/10.1093/cdn/nzab045_021.

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Abstract Objectives To examine the trends and influencing factors of suboptimal complementary feeding (CF) practices among children aged 6–23 months in Niger using national data from 2000 to 2018. Methods Using data from the 2000 Multiple Indicator Cluster Survey, 2012 Demographic and Health Surveys (DHS), and 2018 Standardized Monitoring and Assessment of Relief and Transitions survey in Niger, the trends and predictors of WHO-UNICEF CF indicators including timely introduction of complementary foods (INTRO), minimum meal frequency (MMF), minimum dietary diversity (MDD), and minimum acceptable

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Yoo, Jaewon, Jongwan Ko, Cristiano G. Sabiu, et al. "Comparison of Spatial Distributions of Intracluster Light and Dark Matter." Astrophysical Journal Supplement Series 261, no. 2 (2022): 28. http://dx.doi.org/10.3847/1538-4365/ac7142.

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Abstract In a galaxy cluster, the relative spatial distributions of dark matter, member galaxies, gas, and intracluster light (ICL) may connote their mutual interactions over the cluster’s evolution. However, it is a challenging problem to provide a quantitative measure for matching the shapes between two multidimensional scalar distributions. We present a novel methodology, named the weighted overlap coefficient (WOC), to quantify the similarity of two-dimensional spatial distributions. We compare the WOC with a standard method known as the modified Hausdorff distance (MHD) method. We find th

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Saperia, Sarah, Daniel Felsky, Susana Da Silva, et al. "S119. A DIMENSIONAL APPROACH TO UNDERSTANDING COST-BENEFIT DECISION-MAKING IN SCHIZOPHRENIA AND DEPRESSION." Schizophrenia Bulletin 46, Supplement_1 (2020): S80. http://dx.doi.org/10.1093/schbul/sbaa031.185.

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Abstract Background Reductions in motivation figure prominently in the clinical presentation of schizophrenia (SZ) and major depressive disorder (MDD). One critical nexus in the motivation system that drives real-world behaviour is effort-based decision-making (EBDM), which refers to the cost-benefit calculations involved in computing the amount of effort one is willing to expend in order to obtain a desired reward. Important individual differences are associated with these processes, and impairments in motivation can arise if any relevant cost-benefit information is not properly computed, app

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Zhu, Minqing, Peng Yuan, and Hongjun Cui. "Analysis of Intercity Transportation Network Efficiency Using Flow-Weighted Time Circuity: A Case Study of Seven Major City Clusters in China." Applied Sciences 14, no. 9 (2024): 3834. http://dx.doi.org/10.3390/app14093834.

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Enhancing the efficiency of intercity transportation networks is crucial for sustainable regional transport development, significantly impacting travel behaviors and energy consumption. The transportation infrastructure within the city cluster is rapidly developing to accommodate the increasing traffic demand, necessitating substantial investments. It is imperative to investigate the effectiveness of intercity traffic within urban clusters, to evaluate the influence of transportation infrastructure enhancements on regional traffic efficiency. Circuity is a conventional metric used to assess th

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Hans, Kanwalgeet, Luke Mike, Robert Heidel, Paula Benavides, Robert Arnce, and Jan Talley. "Comorbid Patterns in the Homeless Population: A Theoretical Model to Enhance Patient Care." Western Journal of Emergency Medicine 23, no. 2 (2022): 200–210. http://dx.doi.org/10.5811/westjem.2021.10.52539.

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Introduction: From the perspective of social determinants, homelessness perpetuates poor health and creates barriers to effective chronic disease management, necessitating frequent use of emergency department (ED) services. In this study we developed a screening algorithm (checklist) from common comorbidities observed in the homeless population in the United States. The result was a theoretical screening tool (checklist) to aid healthcare workers in the ED, including residents, medical students, and other trainees, to provide more efficacious treatment and referrals for discharge. Methods: In

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Colombo, F., F. Calesella, B. Bravi, et al. "Unsupervised neurobiology-driven stratification of clinical heterogeneity in depression." European Psychiatry 66, S1 (2023): S614. http://dx.doi.org/10.1192/j.eurpsy.2023.1279.

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IntroductionOne of the main obstacles in providing effective treatments for major depressive disorder (MDD) is clinical heterogeneity, whose neurobiological correlates are not clearly defined. A biologically meaningful stratification of depressed patients is needed to promote tailored diagnostic procedures.ObjectivesUsing structural data, we performed an unsupervised clustering to define clinically meaningful clusters of depressed patients.MethodsT1-weighted and diffusion tensor images were obtained from 102 MDD patients. In 64 patients, clinical symptoms, number of stressful life events, seve

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Tamang, Bir Bahadur, Manoj Kumar Shah, Bishnu Dhakal, Pashupati Chaudhary, and Netra Chhetri. "Participatory ranking of fodders in the western hills of Nepal." Journal of Agriculture and Natural Resources 3, no. 1 (2020): 20–28. http://dx.doi.org/10.3126/janr.v3i1.27001.

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Fodder is an important source of feed of the ruminants in Nepal. In the mid hills of Nepal, farmers generally practice integrated farming system that combines crop cultivation with livestock husbandry and agroforestry. Tree fodders are good sources of protein during the forage and green grass scarcity periods especially in dry season. Local communities possess indigenous knowledge for the selection of grasses and tree fodders at different seasons in mid hills of western Nepal. A study was conducted on the perception of farmers with respect to selection of fodder species in eight clusters in Ka

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Li, Ke, Tingzhe Pan, Jue Hou, Xin Jin, Zhijun Shen, and Xinlei Cai. "Closed-loop control for thermostatically controlled load clusters based on dynamic average consensus." Journal of Computational Methods in Sciences and Engineering 25, no. 2 (2024): 1736–46. https://doi.org/10.1177/14727978241303279.

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This paper proposes a closed-loop control strategy for aggregated thermostatically controlled loads based on dynamic average consensus. To protect user privacy, a virtual battery model is implemented in the interface design, preventing exposure of personal information. To enable the aggregator to obtain global information in real-time, we adopt a dynamic weighted average consensus algorithm that safeguards user privacy while efficiently gathering global data. Building on this, a PI controller is employed for the control commands issued by the aggregator to enhance system robustness. This appro

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Choi, Kwan Woo, Soonwook Kwon, Sung-Bom Pyun, and Woo-Suk Tae. "Shape Deformation in the Brainstem of Medication-Naïve Female Patients with Major Depressive Disorder." Psychiatry Investigation 17, no. 5 (2020): 465–74. http://dx.doi.org/10.30773/pi.2020.0025.

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Objective Although neuroimaging studies have shown volumetric reductions, such as the anterior cingulate, prefrontal cortices, and hippocampus in patients with major depressive disorder (MDD), few studies have investigated the volume of or shape alterations in the subcortical regions and the brainstem. We hypothesized that medication-naïve female adult patients with MDD might present with shape and volume alterations in the subcortical regions, including the brainstem, compared to healthy controls (HCs).Methods A total of 20 medication-naïve female patients with MDD and 21 age-matched female H

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Hu, Qiang, Xiyin Yang, and Qing Mao. "The causal relationship between six mental disorders and breast cancer risk: A two-sample Mendelian randomization study." Medicine 104, no. 16 (2025): e42209. https://doi.org/10.1097/md.0000000000042209.

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Psychological disorders such as schizophrenia, bipolar disorder (BD), major depressive disorder (MDD), attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), and anxiety disorder (AD) are widespread. Mendelian randomization (MR) was used in this study in order to investigate possible causal relationships between psychiatric disorders and breast cancer (BC). We employed publicly accessible summary statistics from extensive genome-wide association studies to identify, perform quality control, and cluster genetic variant loci linked to schizophrenia, ADHD, MDD, ASD, BD,

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Rozy, Agus Fachrur, Solimun Solimun, and Ni Wayan Surya Wardhani. "Peningkatan Akurasi Metode Weighted Fuzzy Time Series Forecasting Menggunakan Algoritma Evolusi Differensial dan Fuzzy C-Means." Jurnal Teknologi Informasi dan Ilmu Komputer 10, no. 5 (2023): 1047–54. http://dx.doi.org/10.25126/jtiik.20231057505.

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Prediksi adalah suatu pendekatan yang digunakan untuk mengantisipasi ketidakpastian masa depan. Metode prediksi konfensional terkendala pada penyesuaian data terhadap asumsi yang digunakan sehingga diperlukan Metode Weighted Fuzzy Time Series. Meskipun metode WFTS telah terbukti efektif terdapat tantangan dalam meningkatkan akurasi peramalan yang dihasilkan. Dua teknik yang sering digunakan dalam konteks ini adalah Algoritma Evolusi Differensial (ED) dan Fuzzy C-Means (FCM). Data yang digunakan pada penelitian ini adalah Jakarta Islamic Index (JKII) per bulan dari bulan Agustus 2018 hingga Jul

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Rozy, Agus Fachrur, Solimun Solimun, and Ni Wayan Surya Wardhani. "Peningkatan Akurasi Metode Weighted Fuzzy Time Series Forecasting Menggunakan Algoritma Evolusi Differensial dan Fuzzy C-Means." Jurnal Teknologi Informasi dan Ilmu Komputer 10, no. 5 (2023): 1047–54. https://doi.org/10.25126/jtiik.2023107505.

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Prediksi adalah suatu pendekatan yang digunakan untuk mengantisipasi ketidakpastian masa depan. Metode prediksi konfensional terkendala pada penyesuaian data terhadap asumsi yang digunakan sehingga diperlukan Metode Weighted Fuzzy Time Series. Meskipun metode WFTS telah terbukti efektif terdapat tantangan dalam meningkatkan akurasi peramalan yang dihasilkan. Dua teknik yang sering digunakan dalam konteks ini adalah Algoritma Evolusi Differensial (ED) dan Fuzzy C-Means (FCM). Data yang digunakan pada penelitian ini adalah Jakarta Islamic Index (JKII) per bulan dari bulan Agustus 2018 hingga Jul

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Gruebner, Oliver, Sarah R. Lowe, Melissa Tracy, et al. "The Geography of Mental Health and General Wellness in Galveston Bay After Hurricane Ike: A Spatial Epidemiologic Study With Longitudinal Data." Disaster Medicine and Public Health Preparedness 10, no. 2 (2016): 261–73. http://dx.doi.org/10.1017/dmp.2015.172.

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AbstractObjectivesTo demonstrate a spatial epidemiologic approach that could be used in the aftermath of disasters to (1) detect spatial clusters and (2) explore geographic heterogeneity in predictors for mental health and general wellness.MethodsWe used a cohort study of Hurricane Ike survivors (n=508) to assess the spatial distribution of postdisaster mental health wellness (most likely resilience trajectory for posttraumatic stress symptoms [PTSS] and depression) and general wellness (most likely resilience trajectory for PTSS, depression, functional impairment, and days of poor health) in

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Murti, Michelle, Tesfaye Bayleyegn, Martha Stanbury, et al. "Household Emergency Preparedness by Housing Type from a Community Assessment for Public Health Emergency Response (CASPER), Michigan." Disaster Medicine and Public Health Preparedness 8, no. 1 (2014): 12–19. http://dx.doi.org/10.1017/dmp.2013.111.

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AbstractObjectivesWe examined the association between housing type and household emergency preparedness among households in Oakland County, Michigan.MethodsWe used interview data on household emergency preparedness from a cluster design survey in Oakland County, Michigan, in 2012. We compared survey-weighted frequencies of household demographics, medical conditions, and preparedness measures in single-detached homes versus multi-unit dwellings, and determined the unadjusted odds ratios (OR) and the income-level adjusted OR for each preparedness measure.ResultsHouseholds had similar demographic

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Suganthi, R., and Dr K. Prabha. "An Adaptive Density Peak Clustering with Swarm Intelligence Algorithm for Detection of Overlapping Communities in Social Networks." Journal of Internet Services and Information Security 12, no. 4 (2022): 204–23. http://dx.doi.org/10.58346/jisis.2022.i4.015.

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Community identification is an important technique for the investigation of complex networks because it makes it possible to examine mesoscopic features that are often connected to the organisational and functional properties of the underlying networks. In social media, there are billions of vertices and a variety of connections, thus community identification is a widely acknowledged approach of addressing the problem of grouping users. However, traditional methods are insufficient because of this. For the purpose of analysing social networks, overlapping community identification is crucial. O

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Alkanhel, Reem, Amir Chaaf, Nagwan Abdel Samee, et al. "DEDG: Cluster-Based Delay and Energy-Aware Data Gathering in 3D-UWSN with Optimal Movement of Multi-AUV." Drones 6, no. 10 (2022): 283. http://dx.doi.org/10.3390/drones6100283.

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The monitoring of underwater aquatic habitats and pipeline leakages and disaster prevention are assisted by the construction of an underwater wireless sensor network (UWSN). The deployment of underwater sensors consumes energy and causes delay when transferring the gathered sensed data via multiple hops. The consumption of energy and delays are minimized by means of an autonomous unmanned vehicle (AUV). This work addresses the idea of reducing energy and delay by incorporating an AUVs-assisted, three-dimensional UWSN (3D-UWSN) called DEDG 3D-UWSN. Energy in the sensor nodes is saved by cluster

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Boldrini, *Maura, Madeline B. Mariani, Chieck A. Sissoko, et al. "MULTI-OMICS PROFILING OF HUMAN HIPPOCAMPUS NEUROGENIC NICHE TO DECIPHER THE NEUROBIOLOGY OF MAJOR DEPRESSION." International Journal of Neuropsychopharmacology 28, Supplement_1 (2025): i83—i84. https://doi.org/10.1093/ijnp/pyae059.143.

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Abstract To investigate the presence of a neurogenic niche in human adult hippocampus and the molecular basis of smaller dentate gyrus (DG) in Major Depressive Disorder (MDD), we applied single-nucleus RNA (snRNA- seq) and accessible chromatin sequencing (snATAC-seq), together with spatial RNA sequencing (Visium, 10x Genomics). We assayed the hippocampus proper from 9 neurotypical (age 40 ± 12 yrs.) and 7 untreated MDD (age 48 ± 10 yrs.) males (2-3 biological replicates). A subsample (3 MDDs; 3 neurotypicals) were used for Visium (2 biological replicates, 12 capture areas total). Samples had R

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Ahmed, A., M. A. Oyebode, H. E. Igbadun, and Ezekiel Oiganji. "ESTIMATION OF CROP WATER REQUIREMENT AND CROP COEFFICIENT OF TOMATO CROP USING METEOROLOGICAL DATA IN PAMPAIDA MILLENNIUM VILLAGE, KADUNA STATE, NIGERIA." FUDMA JOURNAL OF SCIENCES 4, no. 3 (2020): 538–46. http://dx.doi.org/10.33003/fjs-2020-0403-332.

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This report presents a study of crop water requirement and crop coefficient (Kc) for Tomato crop cultivated under irrigation in Pampaida Millennium Village Cluster, Ikara Local Government Area of Kaduna State, Nigeria, during the 2009/2010 dry season. A total of 7 tomato farmers were selected out of 45 farmers for the assessment exercise. Water applied per irrigation and soil moisture contents before and after irrigation was monitored throughout the seasons, while Tomato bulbs were harvested at the end of season and weighed. Average crop water use were estimated from the soil moisture content

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Harrington, *Yasmin, Elisa Melloni, Melania Maccario, et al. "HISTORY OF PERIPARTUM DEPRESSION MODERATES THE ASSOCIATION BETWEEN ESTRADIOL PRS AND BASAL GANGLIA VOLUMES IN MAJOR DEPRESSIVE DISORDER." International Journal of Neuropsychopharmacology 28, Supplement_1 (2025): i136. https://doi.org/10.1093/ijnp/pyae059.236.

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Abstract Background Past studies have identified associations among brain structural alterations in major depressive disorder patients (MDD) and cases of peripartum depression (PPD) [1,2]. Furthermore, previous findings have identified an effect of sex hormones on the brain and in PPD with emerging evidence for the involvement of genes related to hormonal levels [3,4]. However, the long-term neurobiological correlates of a peripartum depressive episode are unknown. In addition, it is unclear whether brain structural differences exist between females who have experienced a peripartum episode an

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Harrington, Y., M. Paolini, V. Bettonagli, et al. "Resting State Functional Connectivity is Associated With Treatment Response in Major Depression: A Real World Study." European Psychiatry 66, S1 (2023): S606—S607. http://dx.doi.org/10.1192/j.eurpsy.2023.1266.

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IntroductionMajor depressive disorder (MDD) is largely considered the most prevalent psychiatric disorder worldwide. Despite its domineering presence, effective treatment for many individuals remains elusive. Investigation into relevant biological markers, specifically neuroimaging correlates, of MDD and treatment response have gained traction in recent years; however, findings are still inconsistent.ObjectivesIn this study, we aimed to investigate the resting state functional connectivity patterns associated with treatment response in MDD inpatients in a real world setting.MethodsForty-three

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Wang, Qiyuan, Junji Cao, Yongming Han, et al. "Sources and physicochemical characteristics of black carbon aerosol from the southeastern Tibetan Plateau: internal mixing enhances light absorption." Atmospheric Chemistry and Physics 18, no. 7 (2018): 4639–56. http://dx.doi.org/10.5194/acp-18-4639-2018.

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Abstract. Black carbon (BC) aerosol has important effects on the climate and hydrology of the Tibetan Plateau (TP). An intensive measurement campaign was conducted at Lulang (∼ 3300 m a.s.l. – above sea level), southeastern TP, from September to October 2015, to investigate the sources and physicochemical characteristics of refractory BC (rBC) aerosol. The average rBC mass concentration was 0.31 ± 0.55 µg m−3, which is higher than most prior results for BC on the TP. A clear diurnal cycle in rBC showed high values in the morning and low values in the afternoon. A bivariate polar plot showed th

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Buttke, Danielle, Sara Vagi, Amy Schnall, et al. "Community Assessment for Public Health Emergency Response (CASPER) One Year Following the Gulf Coast Oil Spill: Alabama and Mississippi, 2011." Prehospital and Disaster Medicine 27, no. 6 (2012): 496–502. http://dx.doi.org/10.1017/s1049023x12001380.

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AbstractBackgroundOn April 20, 2010, the Deepwater Horizon drilling unit exploded off the coast of Louisiana, resulting in 11 deaths and the largest marine petroleum release in history. Previous oil spill disasters have been associated with negative mental health outcomes in affected communities. In response to requests from Mississippi and Alabama, potential mental health issues resulting from this event were identified by implementing a novel use of a Community Assessment for Public Health Emergency Response (CASPER) in the months immediately following the Gulf Coast oil spill.PurposeThis as

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Eftekhari, T., Y. 雨欣 Dong 董, W. Fong, et al. "The Massive and Quiescent Elliptical Host Galaxy of the Repeating Fast Radio Burst FRB 20240209A." Astrophysical Journal Letters 979, no. 2 (2025): L22. https://doi.org/10.3847/2041-8213/ad9de2.

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Abstract The discovery and localization of FRB 20240209A by the Canadian Hydrogen Intensity Mapping Fast Radio Burst (CHIME/FRB) experiment marks the first repeating FRB localized with the CHIME/FRB Outriggers and adds to the small sample of repeating FRBs with associated host galaxies. Here we present Keck and Gemini observations of the host that reveal a redshift z = 0.1384 ± 0.0004. We perform stellar population modeling to jointly fit the optical through mid-IR data of the host and infer a median stellar mass log(M */M ⊙) = 11.35 ± 0.01 and a mass-weighted stellar population age ~11 Gyr, c

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Yuan, Jiaxin, Xuhong Wang, Zihao Feng, Ying Zhang, and Mengqianxi Yu. "Spatiotemporal Variations of Aerosol Optical Depth and the Spatial Heterogeneity Relationship of Potential Factors Based on the Multi-Scale Geographically Weighted Regression Model in Chinese National-Level Urban Agglomerations." Remote Sensing 15, no. 18 (2023): 4613. http://dx.doi.org/10.3390/rs15184613.

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Investigating the spatiotemporal variation characteristics of aerosol optical depth (AOD) and its driving factors is essential for assessing atmospheric environmental quality and alleviating air pollution. Based on a 22-year high-resolution AOD dataset, the spatiotemporal variations of AOD in mainland China and ten national urban agglomerations were explored based on the Mann–Kendall trend test and Theil–Sen median method. Random forest (RF) and multiscale geographically weighted regression (MGWR) were combined to identify the main driving factors of AOD in urban agglomerations and to reveal t

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Mueller, Susanne G. "7T MP2RAGE for cortical myelin segmentation: Impact of aging." PLOS ONE 19, no. 4 (2024): e0299670. http://dx.doi.org/10.1371/journal.pone.0299670.

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Background Myelin and iron are major contributors to the cortical MR signal. The aim of this study was to investigate 1. Can MP2RAGE-derived contrasts at 7T in combination with k-means clustering be used to distinguish between heavily and sparsely myelinated layers in cortical gray matter (GM)? 2. Does this approach provide meaningful biological information? Methods The following contrasts were generated from the 7T MP2RAGE images from 45 healthy controls (age: 19–75, f/m = 23/22) from the ATAG data repository: 1. T1 weighted image (UNI). 2. T1 relaxation image (T1map). 3. INVC/T1map ratio (RA

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Price, M., C. Neff, C. Ballard, et al. "P25.01.B ASSOCIATION BETWEEN EXPOSURE TO AIR POLLUTION AND BRAIN TUMOR INCIDENCE IN THE UNITED STATES." Neuro-Oncology 26, Supplement_5 (2024): v130—v131. http://dx.doi.org/10.1093/neuonc/noae144.444.

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Abstract BACKGROUND Air pollution contains known human carcinogens. Prior studies evaluating an association between pollution exposure and central nervous system tumors (BT) are inconclusive. Using multiscale geographically-weighted linear regression (MGWR), we investigated the association between average county-level air pollution and geographic variation of glioblastoma and tumors of the meninges (ToM) incidence in the United States (US). MATERIAL AND METHODS Annual county-level air pollution from 2000-2016 was obtained from the Environmental Protection Agency’s Air Quality Index (AQI) which

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Moyo, Sizulu, Leickness C. Simbayi, Khangelani Zuma, et al. "Seroprevalence survey of anti-SARS-CoV-2 antibody and associated factors in South Africa: Findings of the 2020–2021 population-based household survey." PLOS Global Public Health 3, no. 9 (2023): e0002358. http://dx.doi.org/10.1371/journal.pgph.0002358.

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Population-based serological testing is important to understand the epidemiology and estimate the true cumulative incidence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) to inform public health interventions. This study reports findings of a national household population SARS-CoV-2 serosurvey in people 12 years and older in South Africa. This cross-sectional multi-stage random stratified cluster survey undertaken from November 2020 to June 2021 collected sociodemographic data, medical history, behavioural data, and blood samples from consenting participants. The samples were

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Biurrun, Idoia, Jokin Belmonte, Irati Sanz-Zubizarreta, and Juan Antonio Campos. "Hardwood riparian forests in northern Iberian Peninsula: classification and diversity patterns." Vegetation Classification and Survey 6 (May 27, 2025): 1–21. https://doi.org/10.3897/vcs.145406.

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Aims: Temperate hardwood riparian forests constitute an endangered habitat occurring mostly on the floodplains of major European rivers, and included in habitat T13 of the European Nature Information System (EUNIS). In this study we aim to 1) confirm their presence in small rivers of northern Spain, 2) revise their classification at association level, and discuss it at alliance level, 3) evaluate their diversity patterns and ecological preferences. Study area: Inner temperate and submediterranean valleys in northern Spain. Methods: We sampled 72 nested series of vegetation plots with grain siz

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Biurrun, Idoia, Jokin Belmonte, Irati Sanz-Zubizarreta, and Juan Antonio Campos. "Hardwood riparian forests in northern Iberian Peninsula: classification and diversity patterns." Vegetation Classification and Survey 6 (May 27, 2025): 141–61. https://doi.org/10.3897/VCS.145406.

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Aims: Temperate hardwood riparian forests constitute an endangered habitat occurring mostly on the floodplains of major European rivers, and included in habitat T13 of the European Nature Information System (EUNIS). In this study we aim to 1) confirm their presence in small rivers of northern Spain, 2) revise their classification at association level, and discuss it at alliance level, 3) evaluate their diversity patterns and ecological preferences. Study area: Inner temperate and submediterranean valleys in northern Spain. Methods: We sampled 72 nested series of vegetation plots with grain siz

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Perumal, Deepak, Violetta V. Leshchenko, Pei-Yu Kuo, et al. "Weighted Gene Co-Expression Network Analysis (WGCNA) Identifies Highly Proliferative Myeloma Subgroup Responsive to CDK4/ARK5 Inhibition." Blood 124, no. 21 (2014): 3445. http://dx.doi.org/10.1182/blood.v124.21.3445.3445.

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Abstract Multiple myeloma (MM) is an incurable plasma cell malignancy accounting for more than 10,000 deaths in the US each year. Hence the pursuit for novel therapeutic agents remains critically important. Myeloma pathogenesis is associated in part with aberrant cell cycle progression. Inhibition of cyclin dependent kinases CDK4/6 results in cell cycle arrest and sensitization to Bortezomib and other active agents in MM (Huang, Blood 2012). Here, we show that ARK5, a novel member of the human AMPKfamily, is overexpressed in 70% of MM and helps promote proliferation and cell cycle progression

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Nyaku, Mawuli K., Amy F. Wolkin, Jevon McFadden, et al. "Assessing Radiation Emergency Preparedness Planning by Using Community Assessment for Public Health Emergency Response (CASPER) Methodology." Prehospital and Disaster Medicine 29, no. 3 (2014): 262–69. http://dx.doi.org/10.1017/s1049023x14000491.

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AbstractIntroductionApproximately 1.2 million persons in Oakland County, Michigan (USA) reside less than 50 miles from the Fermi Nuclear Power Plant, Unit 2, but information is limited regarding how residents might react during a radiation emergency. Community Assessment for Public Health Emergency Response (CASPER) survey methodology has been used in disaster and nondisaster settings to collect reliable and accurate population-based public health information, but it has not been used to assess household-level emergency preparedness for a radiation emergency. To improve emergency preparedness

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Ihme, Susann, Hartmut Döhner, Konstanze Döhner, Michaela Feuring-Buske, Christian Buske, and Medhanie A. Mulaw. "Two Long Non-Coding RNAs Are Sufficient to Classify and Significantly Predict In Vivo Engraftment Potential and LSC Properties of Human Acute Myeloid Leukemia Cells." Blood 128, no. 22 (2016): 2880. http://dx.doi.org/10.1182/blood.v128.22.2880.2880.

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Abstract Acute Myeloid Leukemia (AML) is a hematological malignancy with heterogeneous genetics and clinical course. Studies have shown that there is a strong correlation between xenograft in vivo engraftment potential and clinical outcome. Furthermore, such studies have conducted gene expression profiling to identify gene signatures associated with engraftment potential, leukemic stem cell (LSC) property, and prognosis. Most of these analyses were limited to protein coding genes. More recently, advances in next generation sequencing (NGS) have created a paradigm shift on our perception of tra

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Stein, Frederike, Gunnar Lemmer, Simon Schmitt, et al. "T182. DIAGNOSIS INDEPENDENT SYNDROME RELATED GRAY MATTER VOLUME CHANGES IN A LARGE TRANSDIAGNOSTIC COHORT: RESULTS FROM THE FOR2107 STUDY." Schizophrenia Bulletin 46, Supplement_1 (2020): S301. http://dx.doi.org/10.1093/schbul/sbaa029.742.

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Abstract Background More than a century of research on the neurobiological underpinnings of the Major Psychoses (Schizophrenia SZ, Bipolar Disorder BD, Major Depressive Disorder, Schizoaffective Disorder SZA) has been unable to identify diagnostic “markers”. An alternative approach is to study dimensional psychopathological syndromes that cut across categorical diagnoses. Brain imaging studies on the correlates of syndromes are thus far restricted to one diagnosis, however it is unclear, whether structural brain correlates of syndromes are the same across diagnoses. Previously, we have identif

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Karyakin, I. V., and K. I. Knizhov. "Species Distribution, Abundance and Survival Modeling: New Opportunities and Methods." Raptors Conservation, no. 2 (2023): 347–57. http://dx.doi.org/10.19074/1814-8654-2023-2-347-357.

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Many large raptor species are currently rare and most of them are endangered, and thus details of their distribution, abundance, and survival are the most important indicators for planning conservation and restoration measures and assessing the impacts of anthropogenic transformation of the environment and/or climate change on the populations of these species. Abundance and spatial distribution of the birds under study are determined during field surveys. At the result, we obtain the distribution density in individuals, pairs, nests per unit area (for example, pairs/100 km2), or the distance b

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Wesseling, Jelle. "Abstract F1-2: Clonal evolution of DCIS to invasion." Cancer Research 83, no. 5_Supplement (2023): F1–2—F1–2. http://dx.doi.org/10.1158/1538-7445.sabcs22-f1-2.

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Abstract Clonal evolution of DCIS to invasion Ductal carcinoma in situ (DCIS) is the most common form of preinvasive breast cancer and, despite treatment, a small fraction (5-10%) of DCIS patients develop subsequent invasive breast cancer (IBC). If not treated, at least 3 out of 4 women with DCIS will not develop IBC1-3. This implies many women with non-progressive, low-risk DCIS are likely to carry the burden of overtreatment. To solve this DCIS dilemma, two fundamental questions need to be answered. The first question is, how the subsequent IBC is related to the initial DCIS lesion. The seco

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van Haeringen, Marije, Yuri Milaneschi, Femke Lamers, Brenda W. J. H. Penninx, and Rick Jansen. "Dissection of depression heterogeneity using proteomic clusters." Psychological Medicine, January 18, 2022, 1–9. http://dx.doi.org/10.1017/s0033291721004888.

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Abstract Background The search for relevant biomarkers of major depressive disorder (MDD) is challenged by heterogeneity; biological alterations may vary in patients expressing different symptom profiles. Moreover, most research considers a limited number of biomarkers, which may not be adequate for tagging complex network-level mechanisms. Here we studied clusters of proteins and examined their relation with MDD and individual depressive symptoms. Methods The sample consisted of 1621 subjects from the Netherlands Study of Depression and Anxiety (NESDA). MDD diagnoses were based on DSM-IV crit

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Anibaba, Quadri A., Marcin K. Dyderski, Gabriela Woźniak, and Andrzej M. Jagodziński. "Remote sensing for site selection in vegetation survey along a successional gradient in post‐industrial vegetation." Ecology and Evolution 14, no. 8 (2024). http://dx.doi.org/10.1002/ece3.70200.

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AbstractVegetation characteristics are an important proxy to measure the outcome of ecological restoration and monitor vegetation changes. Similarly, the classification of remotely sensed images is a prerequisite for many field ecological studies. We have a limited understanding of how the remote sensing approach can be utilized to classify spontaneous vegetation in post‐industrial spoil heaps that dominate urban areas. We aimed to assess whether an objective a priori classification of vegetation using remotely sensed data allows for ecologically interpretable division. We hypothesized that re

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Xu, Wentao, Ming Tang, and Yanlei Li. "A new method for assessment of regional drought risk: information diffusion and interval mapping adjustment based on k-means cluster points." Journal of Water and Climate Change, November 17, 2022. http://dx.doi.org/10.2166/wcc.2022.345.

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Abstract Aiming at the defects of weighted comprehensive assessment (WCA) method, this paper proposes a method based on k-means to realize the classification of drought risk. On the basis of calculating the drought risk value of cluster points, the inverse distance weight interpolation (IDWI) method and multidimensional normal diffusion (MND) method were used to quantify the drought risk, and the discrimination between the risk value and grade was improved by interval mapping adjustment. In this paper, the drought risk of Anhui Province from 2000 to 2020 was calculated to verify the above meth

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Tang, Qikai, Chenfeng Ma, Hu Li, et al. "Integrative molecular subtyping and diagnostic model construction for Moyamoya disease based on diverse programmed cell death gene patterns." Orphanet Journal of Rare Diseases 20, no. 1 (2025). https://doi.org/10.1186/s13023-025-03816-y.

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Abstract Background The role of cell death in the pathogenesis of Moyamoya disease (MMD) remains unclear. Methods Gene expression data from two publicly available MMD datasets (GSE157628 and GSE189993) were integrated. Differential expression analysis of cell death-related genes was performed, followed by immune cell infiltration analysis using the CIBERSORT algorithm. Unsupervised clustering identified molecular subgroups within MMD patients, and these were further analyzed using Gene Set Variation Analysis (GSVA) and Weighted Gene Co-expression Network Analysis (WGCNA). Diagnostic models wer

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N. Chang-a, Renie. "Leadership Competencies and Performance of Managers in Selected Universities in Region II: Basis for Development Plan." International Multidisciplinary Research Journal 4, no. 4 (2023). http://dx.doi.org/10.54476/ioer-imrj/740983.

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Enhancing leadership competencies is crucial for non-academic employees to get promoted to an extant position. This study determined the leadership competencies of managers in a university as a basis for a development plan. More so, it used descriptive and correlational research methods and utilized weighted mean, independent t-test, one-way ANOVA, Pearson product-moment correlation, and Friedman test for data analysis. The embedded design in the mixed method technique was used for data collection of the five-leadership competency cluster on People, Team, Execution, Education (foundation), and

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Zhang, Jing, Shujun Xie, Rong Xiao, Dongrong Yang, Zhi Zhan, and Yan Li. "Identification of mitophagy-related biomarkers and immune infiltration in major depressive disorder." BMC Genomics 24, no. 1 (2023). http://dx.doi.org/10.1186/s12864-023-09304-6.

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Abstract Background Major depressive disorder (MDD) is a life-threatening and debilitating mental health condition. Mitophagy, a form of selective autophagy that eliminates dysfunctional mitochondria, is associated with depression. However, studies on the relationship between mitophagy-related genes (MRGs) and MDD are scarce. This study aimed to identify potential mitophagy-related biomarkers for MDD and characterize the underlying molecular mechanisms. Methods The gene expression profiles of 144 MDD samples and 72 normal controls were retrieved from the Gene Expression Omnibus database, and t

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R, Uma Maheswari. "An Efficient Cancer Classification Using Mid value K-means and Naïve Bayes." JOURNAL OF SCIENCE, COMPUTING AND ENGINEERING RESEARCH, April 2020, 1–6. http://dx.doi.org/10.46379/jscer.2020.010101.

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Cancer classification is very important in the field of bioinformatics for diagnosis of cancer cells. Accurate prediction of cancer is very important for providing better treatment and to avoid the additional cost associated with wrong therapy. In recent years for classifying the cancer numbers of methods have been exist. The main objective is to find the smallest set of genes by using machine learning algorithms. The proposed method initially uses Naive Bayes classifier with great flexibility. However, the Naive Bayes is not suitable for the classification of large datasets because of signifi

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CHANG-A, RENIE N. "LEADERSHIP COMPETENCIES AND PERFORMANCE OF MANAGERS IN SELECTED UNIVERSITIES IN REGION II: BASIS FOR DEVELOPMENT PLAN." February 1, 2023. https://doi.org/10.5281/zenodo.7605344.

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Enhancing leadership competencies is crucial for non-academic employees to get promoted to an extant position. This study determined the leadership competencies of managers in a university as a basis for a development plan. More so, it used descriptive and correlational research method and utilized weighted mean, independent t-test, one-way ANOVA, Pearson product moment correlation, and Friedman test for data analysis. The embedded design in the mix method technique was used for data collection of the five-leadership competency cluster on People, Team, Execution, Education (foundation), and Te

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Matsumoto, Junya, Masaki Fukunaga, Kenichiro Miura, et al. "Cerebral cortical structural alteration patterns across four major psychiatric disorders in 5549 individuals." Molecular Psychiatry, August 18, 2023. http://dx.doi.org/10.1038/s41380-023-02224-7.

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AbstractAccording to the operational diagnostic criteria, psychiatric disorders such as schizophrenia (SZ), bipolar disorder (BD), major depressive disorder (MDD), and autism spectrum disorder (ASD) are classified based on symptoms. While its cluster of symptoms defines each of these psychiatric disorders, there is also an overlap in symptoms between the disorders. We hypothesized that there are also similarities and differences in cortical structural neuroimaging features among these psychiatric disorders. T1-weighted magnetic resonance imaging scans were performed for 5,549 subjects recruite

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PUTERA, Muhammad Luthfi Setiarno, Laili WAHYUNITA, and Febrianawati YUSUP. "Spatial Modelling of Covid-19 Confirmed Cases in Kalimantan, Indonesia: How Neighborhood Matters?" Walailak Journal of Science and Technology (WJST) 18, no. 15 (2021). http://dx.doi.org/10.48048/wjst.2021.22120.

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The Covid-19 outbreak has hit all countries across the globe, including Indonesia, in which the impact is detrimental and costly. We investigated 14 determinants that could spatially influence Covid-19 cases in Central Kalimantan and South Kalimantan provinces in mid-2020 by using the Geographically Weighted Negative Binomial Regression (GWNBR) and Mixed Geographically Weighted Negative Binomial Regression (MGWNBR). This study conducted iterative Limited-memory Broyden-Fletcher-Goldfarb-Shanno with boundaries (L-BFGS-B) to utilize the numerical parameter estimation of MGWNBR. MGWNBR identified

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Steger, Céline, Charles Moatti, Kelly Payette, et al. "Characterization of dynamic patterns of human fetal to neonatal brain asymmetry with deformation-based morphometry." Frontiers in Neuroscience 17 (December 6, 2023). http://dx.doi.org/10.3389/fnins.2023.1252850.

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IntroductionDespite established knowledge on the morphological and functional asymmetries in the human brain, the understanding of how brain asymmetry patterns change during late fetal to neonatal life remains incomplete. The goal of this study was to characterize the dynamic patterns of inter-hemispheric brain asymmetry over this critically important developmental stage using longitudinally acquired MRI scans.MethodsSuper-resolution reconstructed T2-weighted MRI of 20 neurotypically developing participants were used, and for each participant fetal and neonatal MRI was acquired. To quantify br

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Zhong, Yi-Fan, Yu-Xiang Dai, Shi-Pian Li, et al. "Sagittal balance parameters measurement on cervical spine MR images based on superpixel segmentation." Frontiers in Bioengineering and Biotechnology 12 (April 12, 2024). http://dx.doi.org/10.3389/fbioe.2024.1337808.

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Introduction: Magnetic Resonance Imaging (MRI) is essential in diagnosing cervical spondylosis, providing detailed visualization of osseous and soft tissue structures in the cervical spine. However, manual measurements hinder the assessment of cervical spine sagittal balance, leading to time-consuming and error-prone processes. This study presents the Pyramid DBSCAN Simple Linear Iterative Cluster (PDB-SLIC), an automated segmentation algorithm for vertebral bodies in T2-weighted MR images, aiming to streamline sagittal balance assessment for spinal surgeons.Method: PDB-SLIC combines the SLIC

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Zarei, Bagher, Bahman Arasteh, Mehdi Asadi, Vahid Majidnezhad, Saeid Taghavi Afshord, and Asgarali Bouyer. "Multiplex Community Detection in Social Networks Using a Chaos‐Based Hybrid Evolutionary Approach." Complexity 2024, no. 1 (2024). http://dx.doi.org/10.1155/2024/1016086.

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Network analysis involves using graph theory to understand networks. This knowledge is valuable across various disciplines like marketing, management, epidemiology, homeland security, and psychology. An essential task within network analysis is deciphering the structure of complex networks including technological, informational, biological, and social networks. Understanding this structure is crucial for comprehending network performance and organization, shedding light on their underlying structure and potential functions. Community structure detection aims to identify clusters of nodes with

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Brill, Laura C., and Lily M. Wang. "Higher Sound Levels in K-12 Classrooms Correlate to Lower Math Achievement Scores." Frontiers in Built Environment 7 (November 3, 2021). http://dx.doi.org/10.3389/fbuil.2021.688395.

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Sound levels from occupied classrooms have been gathered from 220 classrooms across four grade levels (3, 5, 8 and 11) over six school days each and processed with k-means clustering into speech and non-speech clusters. Three metrics describing the classroom acoustics, including the average daily A-weighted equivalent level for non-speech, the average daily difference between the A-weighted equivalent levels for speech and non-speech (a signal to noise ratio), and the mid-frequency averaged reverberation time, were analyzed against classroom-aggregated standardized reading and math achievement

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Depastas, Theodoros, Alexandros Androutsopoulos, and Demeter Tzeli. "Analysis of chemical bonding of the ground and low-lying states of Mo₂ and of Mo₂Cl_x complexes, x = 2 - 10." Journal of Chemical Physics, July 4, 2022. http://dx.doi.org/10.1063/5.0091907.

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In the present study, we perform accurate calculations via multireference configuration interaction and coupled cluster methodologies on the dimolybdenum molecule in conjunction with complete series of correlation and weighted core correlation consistent basis sets up to quintuple size. The bonding, dissociation energies, and spectroscopic parameters of the seven states that correlate to the ground state products are calculated. The ground state has a sextuple chemical bond and each of the calculated excited state has one less bond than the previous one. The calculated values for the ground(X1

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