bluuebunny/crossref_metadata_2025_split huggingface dataset:
DEVELOPMENT OF THE SYSTEM OF AUTOMATED MONITORING AND ANALYSIS OF ENERGY CONSUMPTION IN IGOR SIKORSKY KYIV POLYTECHNIC INSTITUTE
Authors: Shevchenko Olena , Shovkaliuk Maryna , Stepanets Oleksandr , Shvaiko Valery 
Published: June 2022

In Igor Sikorsky Kyiv Polytechnic Institute has an organizational structure for managing the energy consumption of the campus, which includes both organizational, informational and technical measures, including the creation of a remote energy monitoring system. This study examines the engineering aspects of energy management system formation for different types of consumers. The purpose of the work is to improve existing and develop new innovative management methods and tools of energy management, taking into account the parameters of management objects; taking into account the relationship of energy generation sources, thermal protection, the parameters of the microclimate of the premises.
The facilities on the balance of the university are also a research platform for various research works, which is greatly facilitated by the energy management service in cooperation with other departments, faculties and departments. The software-based remote monitoring system is gradually being introduced, which will include an automated workplace of the energy manager, a geoinformation map of engineering networks and campus buildings, indoor temperature monitoring, automated metering and an analytical unit with the ability to predict energy consumption.
The aim of the article is to improve innovative methods and tools of energy management taking into account the parameters of objects, a comprehensive approach to in-depth analysis and planning of energy consumption and operating conditions of buildings, development of energy management through remote monitoring with integration into the educational process.
Research objectives: propose a project of an automated monitoring system for an educational institution and describe the structural elements of the software; to analyze the results of the phased implementation of the remote energy monitoring system and instrumental provision of remote metering of energy resources; show the possibilities of attracting the scientific potential of the university to improve the quality of educational services.
Legacy of land-cover changes on soil microbiology in Burgundy vineyards (Pernand-Vergelesses, France)
Authors: Quiquerez Amélie , Garcia Jean-Pierre , Dequiedt Samuel , Djemiel Christophe , Terrat Sébastien , Mathieu Olivier , Sassi Audrey , Ranjard Lionel 
Published: June 2022

Present-day soil physicochemical characteristics, land use/land cover (LULC), and field management practices are commonly recognised as the main drivers shaping archaeal/bacterial and fungal communities in vineyard soils. Few studies have investigated the legacy of past land uses on soil microbial biodiversity, yet anthropogenic disturbances have already been proven to affect soil characteristics over decades. In this study, we explore the possibility of long-lasting impacts of forest-to-vineyard conversion on present-day soil archaeal/bacterial and fungal communities after 15 years of vine cultivation.The selected study area is in a Burgundian vineyard (Pernand-Vergelesses, Burgundy, France), where it was possible to reconstruct the history of land cover and land use for the past 40 years. Soil samples were collected from five zones managed under similar pedo-climatic conditions but with different land-use histories (a 70-year-old vineyard, a 15-year-old vineyard converted from pine forest, a 15-year-old vineyard converted from mixed forest, a pine forest and a mixed forest). For each zone, basic physicochemical parameters (organic carbon, total nitrogen, copper, C:N ratio, and soil texture) were measured, and DNA was extracted to characterise the microbial biomass, and also the richness and taxonomic composition of archaeal/bacterial and fungal communities (16S and 18S).Our results show that changes in LULC lead to differential responses in soil microbial biomass, and in archaeal/bacterial and fungal richness and taxonomic composition. After 15 years of cultivation, the present-day microbial biomass and indigenous archaeal/bacterial communities of recent vineyard soils are shown to be partly inherited from past LULC, but no evidence was found of long-term impacts of past land use on fungal communities. Past land-use history should therefore be added to the well-established set of environmental drivers, providing valuable information to explain the spatial variability of soil microbiology, observed at intra-plot, plot, and landscape scales. Integrating the history of changes in LULC is therefore recommended to evaluate and adopt the best strategies to develop sustainable management practices.
Early Ediacaran and Middle Ediacaran Granitoids in the Provenances of Early Cambrian Coarse-Grained Rocks of the Bayan-Kol Formation of the Systyg-Khem Depression (Tuva)
Authors: Brodnikova E.A. , Vetrov E.V. , Letnikova E.F. , Ivanov A.V. , Rudnev S.N. 
Published: June 2022

Abstract
—The Tuva segment of the Central Asian Orogenic Belt is characterized by the ubiquitous presence of conglomerates few tens of meters to a kilometer in thickness in early Paleozoic volcanosedimentary sequences. We present the first results of geochemical, isotopegeochemical (Sm–Nd and Rb–Sr), and U–Pb geochronological studies of granitoid boulders and pebbles from the conglomerate sequence of the early Cambrian Bayan-Kol Formation of the Systyg-Khem depression. These studies made it possible to establish several sources of clastic material as a result of the destruction of granitoids of different ages and isotope-geochemical compositions. At least two complexes of granitoids were denuded in the pre-Ediacaran tectonic block in the early Cambrian: (1) middle Ediacaran (~590 Ma) and (2) early Ediacaran (~630 Ma); the latter resulted from the melting of pre-Ediacaran island arc crust formed from a depleted mantle source (εNd(T) = +8.0 to +8.6). At present, no granitoids of this age and with such isotope-geochemical characteristics have been found within the Tuva segment. Probably, the granitoid complexes reconstructed from the results of study of clastic conglomerates are eroded or buried beneath younger deposits and do not expose. Thus, the study of clastic conglomerates from the Bayan-Kol Formation provided the first information about the Precambrian history of the tectonic block whose destruction led to the accumulation of this terrigenous sequence.
Randomized controlled trial evaluating a virtual parenting intervention for young children at risk of obesity: Study protocol for Parenting Addressing Early Years Intervention with Coaching Visits in Toronto (PARENT) trial
Authors: Rae Sarah Lynne , Maguire Jonathon , Aglipay Mary , Barwick Melanie , Danavan Karoon , Haines Jess , Jenkins Jennifer , Klaassen Marie Klaassen , Moretti Myla , Ong Frank , Persaud Nav , Porepa Michelle , Straus Sharon , Tavares Erika , Willan Andrew , Birken Catherine 
Published: June 2022

Abstract
Background: The prevalence of overweight (15%) and obesity (6%) in children under five years of age in Canada are high, and young children with overweight and obesity are at increased risk of the development of chronic disease(s) in adulthood. Prior research has demonstrated very few published trials on effective obesity prevention interventions in young children at risk of obesity, within primary health care settings. The aim of this study is to determine if 18 - 48-month-old children at risk for obesity, who are randomized to receive the Parents Together program (i.e., intervention group) have reduced body mass index z-score (zBMI), compared to those not receiving the intervention, at 12-month follow up. Secondary clinical outcomes between the intervention and control groups will be compared at 12 months.Methods: A pragmatic, parallel group, 1:1, superiority, randomized control trial (RCT) through the TARGetKids! Practice Based Research Network will be conducted. Young children (ages 18 – 48 months) who are at increased risk for childhood obesity will be invited to participate. Parents who are enrolled in the intervention group will participate in eight weekly group sessions and 4 – 5 coaching visits , facilitated by a trained public health nurse. Children and parents who are enrolled in the control group will receive usual health care. The primary outcome will be compared between intervention arms using an analysis of covariance (ANCOVA). Feasibility and acceptability will be assessed by parent focus group and interviews, and fidelity to the intervention will be measured using nurse completed checklists. A cost-effectiveness analysis (CEA) will be conducted. Discussion: This study will aim to reﬂect the social, cultural, and geographic diversity of children in primary care in Toronto, Ontario represented by an innovative collaboration among applied child health researchers, community health researchers, and primary care providers (i.e., paediatricians and family physicians in three diﬀerent models of primary care). Clinical and implementation outcomes will be used to inform future research to test this intervention in a larger number, and diverse practices across diverse geographic settings in Ontario.Trial registration: Date of registration: June 27th, 2017; Registry: ClinicalTrials.gov; Registration number: NCT03219697
Multi-Headed Deep Learning-Based Estimator for Correlated-SIRV ParetoType II Distributed Clutter
Authors: Kerbaa Taha Hocine , Mezache Amar , Gini Fulvio , Greco Maria Sabrina 
Published: June 2022

Abstract
This paper deals with the problem of estimating the parameters of heavy-tailed sea-clutter in high-resolution radar, when the clutter is modelled by the correlated Pareto type II distribution. Existing estimators based on the maximum likelihood (ML) approach, integer-order moments (IOM) approach, fractional-order moments (FOM), and log-moments (log-MoM) have shown to be sensitive to changes in data correlation. In this work, we resort to a deep learning (DL) approach based on a multi-headed architecture to overcome this problem. Off-line training of the artificial neural networks (ANN) is carried out by using several combinations of the clutter parameters, with different correlation degrees. To assess the performance of the proposed estimator, we resort to Monte Carlo simulation and we observed that it has superior performance over existing approaches in terms of estimation mean square error (MSE) and robustness to changes of the clutter correlation coefficient.
COVID-19 pandemic response in the Meuse-Rhine Euroregion: Sampling, design and participation of a longitudinal cross-border study
Authors: Stabourlos Christina , Bilsen C.J.A. van , Brinkhues S. , Moonen C.P.B. , Demarest S. , Hanssen D.A.T. , Loo I.H.M. van , Savelkoul P.H.M. , Philippsen D. , Zanden B.A.M. van der , Dukers-Muijrers N.H.T.M. , Hoebe C.J.P.A. 
Published: June 2022

Abstract
Background: Up to 30% of the European population lives in an European internal border region. In the Meuse-Rhine Euroregion (EMR) multiple challenges on pandemic response were brought to the attention early on in the COVID-19 pandemic. Citizens and border commuters in the EMR were confronted with difficulties related to divergent policies applicable in the three nations. A thorough analysis of the pandemic response in Euroregions through comparable cross-border data collection enables the evaluation of different infection prevention policies on public health. Methods: ‘Impact of COVID-19 on the EMR’ is a longitudinal study of SARS-CoV-2 antibodies in inhabitants of the EMR. The sampling design is stratified random sampling. Prospective data collection took place between April and November 2021, and consisted of two self-finger prick antibody tests and two online questionnaires. The study enables to evaluate (1) the prevalence of anti-SARS-CoV-2 antibodies and its determinants and (2) the practice and attitudes to COVID-19 measures on the population in the EMR over time. Discussion: The project is a unique example of a close interregional cooperation in the development of a shared research project; conceptual development, survey-approach, data-collection, data-analysis and reporting. Collection of comparative cross-border data can aid policy makers, health care providers and other stakeholders to better assess the impact of infectious disease control measures in border regions.
Assessing reintroduction outcome: comparison of the juvenile post-fledging dependence period between wild and reintroduced Bonelli’s eagles in two Mediterranean islands
Authors: EGEA-CASAS OLGA , LÓPEZ-LÓPEZ PASCUAL , ÁLVAREZ ERNESTO , CORTONE GIUSEPPE , GALÁN MANUEL , IGLESIAS-LEBRIJA JUAN JOSÉ , VALVO MARIO LO , MARTÍNEZ JUAN , MERLINO STEFANIA , VIADA CARLOTA , VITTORIO MASSIMILIANO DI 
Published: June 2022

Abstract
Islands are key areas for biodiversity; however, they are extremely sensitive to anthropic actions. This has led to local species extinctions, especially large predators such as raptors. Consequently, reintroduction and conservation projects aimed at reversing population decline of endangered species have recently gained popularity. Nevertheless, their relatively elevated cost and chance of failure make them controversial, hence assessing their effectiveness is essential. Within the early stages of raptors, the post-fledging dependency period (PFDP) is the one in which individuals must face dangers without having completely developed their skills. Thereby, comparing PFDP patterns concerning reintroduced and wild individuals is of major interest as it would help to plan and improve future conservation actions. We analyzed the behavior of 38 juvenile Bonelli’s eagles (15 reintroduced and 23 wild) tracked through GPS telemetry, tagged as nestlings in two insular environments. The study period encompassed a total of nine-year movement data from reintroduced chicks in Mallorca (Spain) and wild chicks from Sicily (Italy). Movement parameters (i.e., age of first flight, age of dispersal, length of the PFDP, revisits to the natal or release area, and residence time in them) were analyzed together with their behavior during the PFDP for reintroduced and wild individuals. Similar movement patterns were obtained for both origins, although wild individuals revisited the natal site more often and dispersed earlier. Behavior was also similar, it varied throughout the PFDP, observing a more abrupt progress in wild individuals and an earlier development of travelling and hunting behaviors. Observed differences are probably related to food availability, which can improve body condition and thus delay onset of dispersal, together with parental presence, which can prompt an earlier ending of the PFDP by encouraging juvenile independence.
NaISEP: Neighborhood aware Clustering Protocol for WSN Assisted IOT Network for Agricultural Application
Authors: Sehrawat VATAN , GOYAL SANDIP KUMAR 
Published: June 2022

Abstract
Smart farming is becoming the need of the hour nowadays in an effort to boost productivity and protect the crops. This can be done using sensors and internet enabled devices in the farm. The underlying wireless sensor network can sense various environmental parameters and can pass data to the internet enabled devices to support smart farming. The sensor nodes are, however, powered by smaller batteries and have limited lifetime. Therefore, this paper presents a clustering protocol which aims at increasing the lifetime of the sensor nodes. These sensors are considered to be pressure sensors which are deployed in the network and whenever any animal encroaches the farm, a signal can be passed to the internet enabled alarm system which can help the farmer to fend off the animals and protect his crops. The sensor network is considered to have three level of energy heterogeneity among the nodes and the cluster head is selected in such a way that the cluster formed by the head consists of more number of high energy nodes. The proposed protocol has been simulated in MATLAB environment and compared with SEP, DEEC and ISEP based on network lifetime and throughput. The protocol has shown better performance against these existing protocols.
Harnessing gut microbes for glycan detection and quantification
Authors: Modesto Jennifer , Silvis Victoria , Townsend Guy 
Published: June 2022

Abstract
Glycans facilitate critical biological functions and control the mammalian gut microbiota composition by supplying differentially accessible nutrients to distinct microbial subsets. Therefore, identifying unique glycan substrates that support defined microbial populations will inform new therapeutic avenues to treat diseases via modulation of the gut microbiota composition and metabolism. However, examining heterogenous glycan mixtures for individual microbial substrates is hindered by glycan structural complexity and diversity, which presents substantial challenges to glycomics approaches. Fortuitously, gut microbes encode specialized sensor proteins that recognize unique glycan structures and in-turn activate predictable, specific, and dynamic transcriptional responses. We have harnessed this microbial machinery to indicate the presence and abundance of compositionally similar, yet structurally distinct glycans, using a newly developed transcriptional reporter. We demonstrate how these tools can be implemented to examine glycan mixtures, isolate target molecules for downstream characterization, and quantify the recovered products. We assert that this new toolkit will dramatically enhance our understanding of the mammalian intestinal environment and identify host-microbial interactions critical for human health.
Fetal Inflammatory Response and Risk for Psychiatric Disorders
Authors: Melhem Nadine , GIbson Blake , Goodfriend Eli , Zhong Yongqi 
Published: June 2022

Abstract
Objective: Inflammation contributes to numerous neuropsychiatric disorders, especially those that first appear in childhood. Maternal intrauterine environment, including the placenta, has a role in brain development and risk for neuropsychiatric disorders. This study examines the link between fetal inflammatory syndrome (FIRS), which is placental inflammation in the peri-partem period, and neuropsychiatric disorders during childhood.﻿Method: This is a retrospective cohort study using data from electronic medical records over a 19-year period at one women’s hospital. The study includes 4,420 children born with placentas meeting criteria for and 31,403 controls identified with normal placentas born during the same period. The primary outcome of the study is incidence of neuropsychiatric disorders during childhood. The secondary outcomes were psychiatric medications prescribed, and psychiatric hospitalizations and treatment.Results: Children born to placentas meeting criteria for FIRS were more likely to be diagnosed with neuropsychiatric disorders (OR=1.10, CI 95% [1.04,1.50]). Specifically, they were more likely to be diagnosed with autism spectrum disorder (OR= 1.32, CI 95% [1.08, 1.62]), ADHD (OR=1.30, CI 95% [1.10, 1.53]), conduct disorder (OR= 1.59, CI 95% [1.32, 1.90]), PTSD (OR= 2.69. CI 95% [1.35, 5.36]), and bipolar disorders (OR= 3.23, CI 95% [1.24, 8.39]), adjusting for maternal history of psychiatric disorders, intra-partem substance use, and prescriptions of anti-inflammatory drugs. ﻿Conclusion: Children born with placental inflammation are at an increased risk to develop neuropsychiatric disorders. This has profound implications for future research, and early detection, monitoring, and treatment in these children.
Modeling Urban Land use Changes in Peshawar by the integration of Land Change Modeler and Markov model to Promote Sustainable Urbanization
Authors: Tariq Aqil , Mumtaz Faisal 
Published: June 2022

Abstract
Urbanization is a global phenomenon that caused many regions worldwide to face dramatic land use land cover (LULC) changes associated with urban sprawl and significant consequences. This study uses satellite images from the last two decades to examine Peshawar's geographical and temporal changes in urban expansion. Analysis of urban sprawl was carried by using the Maximum Likelihood Classification (MLC). Land change modeler combined with the Markov chain model was used to explore the patterns of urban sprawl. Later, the Cellular automata (CA) model was combined with the Markov chain model. Finally, the kappa coefficient and confusion matrix were used to validate the models and LULC maps accuracy. Results indicate a substantial expansion in built-up and vegetation class for Peshawar city replacing bare land. Peshawar's vegetation cover has increased by 25.6% throughout the study period, especially 12.7% under the billion-tree project (from 2013 to 2018). The urban area has increased by 16.3% and will continue to grow in the future, costing the bare land and affecting the water land. Classified images had an overall accuracy rate of almost 80%. According to a 2017 study by the Peshawar Development Authority (PDA), the entire urban built-up area was 264 square kilometers. As a result of our research, the total constructed area in 2018 was 272 km2. Also, the results of 2028 and 2038 indicate that in the future, the vegetation cover will increase from 50.63% in 2018 to 59.23% by 2038. But also the built-up area would be increased from 21.52–25.23% respectively. Education, health, and small-business centers were essential to the development. In addition, the population of the Peshawar District relocated from nearby tribal areas due to military operations.
Disruption of oogenesis and moulting by methoprene and glyphosate in Gammarus fossarum; involvement of retinoic acid?
Authors: Gauthier Maxime , Defrance Jérémy , Jumarie Catherine , Vulliet Emmanuelle , Garric Jeanne , Boily Monique , Geffard Olivier 
Published: June 2022

Abstract
In the last decade, the freshwater amphipod Gammarus fossarum proved to be a promising sentinel species in active biomonitoring programs to assess the effects of environmental contamination on non-target organisms. In many vertebrates, xenobiotics cause deregulation of the retinoids (RETs) metabolism implicated in many crucial biological functions. The retinoid system, known in the crustaceans, is yet to be explored in G. fossarum. Therefore, we studied the implication of all­-trans­ retinoic acid (atRA) in the reproduction (embryo, oocyte, and juvenile production) and development (success and delay of moulting) by exposing G. fossarum females to atRA and citral (CIT), a known inhibitor of RA synthesis to simulate an excess or a deficiency of RA, respectively. In parallel, we monitored the effects of methoprene (MET) and glyphosate (GLY), two pesticides suspected to interfere with atRA metabolism and signalling and frequently found in water systems. After 14 days of exposure, atRA, CIT, and MET reduced the number of oocytes, whereas only MET caused a reduced number of embryos. After 44 days, MET and GLY showed a tendency to decrease juvenile production. The duration of the moulting cycle increased following the exposures to atRA and MET, while the treatment with CIT caused a typical endocrine disruptive inverted U-shaped curve. The exposure to GLY led to increased duration of the moulting cycle at the lowest concentrations and lowered moulting success at the highest concentration tested. This study highlights for the first time the implication of RA in the oogenesis and moulting of G. fossarum and suggests that it may be a potential mediator of MET-induced effects on these processes. This study adds to the comprehension of the reproductive and developmental control in G. fossarum and opens new research avenues to study the effects of xenobiotics on the RET system in this sentinel species. Ultimately, our study will drive the development of RET-based biomarkers for non-target aquatic invertebrates exposed to xenobiotics.