bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of seed viability through respiration metabolism using CO2 sensors and internet of things (IoT) system
Authors: Widajati Eny , Putro T Y , Dewi E M , Aini M A , Mahardhika A 
Published: January 2023

Abstract
The respiration metabolism is an indicator of seed viability. The respiration process can be measured through the production of CO2 during the seed germination process. The respiration process can be measured through the production of CO2 during the seed germination process. This study aims to create a CO2 measuring device that can measure in real-time using a CO2 sensor and an IoT system. The study consisted of two experiments. The first experiment was to create a seed respiration measuring device using a CO2 sensor and an IoT system. The second experiment was to validate. The first experiment’s results were that a device can detect carbon dioxide levels automatically in the measurement range from 400 ppm to 5000 ppm. The device had online data storage through a database that can be monitored using the IoT system and is equipped with backup data storage using an SD card to avoid data loss in the cloud due to internet connection failure. The second experiment used a randomized complete block design. The treatment consisted of six levels of soybean seed viability (94.8%, 92.4%, 90.4%, 88.4%, 66.0%, 40.8% based on germination test). The results showed that the CO2 measurement could differentiate the viability of seeds.
Linear spectral mixture analysis of land cover for assessment level sub-pixel using PlanetScope imagery in Dieng Plateau
Authors: Priana A , Danoedoro P , Kamal M 
Published: January 2023

Abstract
Information on the land cover is essential as thematic information for planning, controlling, and spatial planning to create sustainable development. Remote sensing is a tool used to solve a problem related to space, environment, and zoning. One of the obstacles in using remote sensing data is the presence of mixed pixels. This research was conducted in the Dieng Plateau. This research aims to calculate accuracy assessment and land cover map fraction using PlanetScope imagery in Dieng Plateau. The remote sensing image is PlanetScope, recorded November 19, 2020. Topographic correction is carried out using the cosine correction method. The Linear Spectral Mixture Analysis (LSMA) method determines each endmember percentage land cover fraction. The field survey was conducted with 74 samples for accuracy testing. Each sample plot measures 10 m x 10 m. The topographic correction results can significantly affect land cover classification results. The result of the LSMA method classification used PlanetScope images to determine the percentage land cover map fraction of bare soil, impervious surface, vegetation, and water in one pixel with an accuracy of MAE 99.76%.
A complete digital water experience to support real leakage management planning
Authors: Laucelli Daniele , Spagnuolo Serena , Rinaldi Antonio , Perrone Gianluca , Berardi Luigi , Giustolisi Orazio 
Published: January 2023

Abstract
In the next years digital transition of Water Distribution Networks (WDNs) will represent a long-standing challenge for triggering innovations in the WDNs management tasks. The ongoing impulse for innovation, boosted also by the economic resources for post-pandemic recovery, is opening novel opportunities for technicians and researchers in the context of Digital Water. This work reports the key steps where novel concepts and tools of Digital Water have been used to support consultant companies in designing WDN leakage management actions in a real WDN managed by Acquedotto Pugliese, in Southern Italy. The Digital Water Services (DWSs) were used to support key phases of the workflow, including validation of topological data and integration of georeferenced connection to private properties; calibration of advanced hydraulic model exploiting mass-balance in pressure-driven analysis; the application of strategies for DMA design and pressure control; and the planning of pipe rehabilitation. WDNetXL platform was used to develop WDN Digital Twin and exploit the DWSs. Applying the Digital Water experience to multiple WDNs managed by the same provider also enabled planning the best courses of actions accounting for investments vs. expected leakage reduction at global scale.
Profiling urban water consumption using autoencoders and time-series clustering techniques
Authors: Lange Danillo , Ribalta Marc , Echeverria Lluís , Pocock Joshua 
Published: January 2023

Abstract
Nowadays, water utilities face the rising challenge of ensuring water availability amidst a rapidly growing society and a shifting climate. Our research aims to develop a household clustering solution based on water consumption behaviour in Southwest England, to enable utilities to identify different profiles and enhance customized control of household consumption, resulting in improved resource management. The solution is composed of three modules. The first one is based on a K-Means clustering model, designed to group domestic water use behaviours. This module uses the Dynamic Time Wrapping algorithm as a similarity mechanism to process the high-resolution water meter data. In parallel, the second module processes the market segmentation data through an Autoencoder, a specific Neural Network architecture used to reduce the high dimensionality of such data to a low dimension dataset by extracting its latent encoded space. Finally, to assemble the final household water use profiles, a blending K-Means algorithm is used to merge previous modules outputs, based on the Euclidean distance. The solution provides insightful information to water companies to better understand consumer behaviour, habits, and routines.
Smart water chain: Immutable, distributed and decentralized water transaction ledgers
Authors: Satilmisoglu Talat Kemal , Keskin Huzur 
Published: January 2023

Abstract
Blockchain is a transactional data storage system where data can be stored reliably without the need for a central database or trusted authority. The data can be anything like financial transactions, supply chain processes or medical records. It is similar to a classical database but uses a decentralized ledger and allowing each participant in the network to have their own copy of the ledger and be able to see all transactions. Data stored in the distributed ledger can only be read or written, not deleted or updated unlike traditional central database. Reliable data is essential for the water industry for information about the current status of any water system, to build trust between stakeholders at all scales, and for effective forecasting and future scenarios by reducing uncertainty. The aim of this study is to examine the potential of using blockchain-based algorithms (smart contracts, chain codes, decentralised identifiers etc.) for the water industry on the edge of digital transformation, and to propose water-related data processing system architectures for different water quantity-quality based scenarios.
Hydroinformatics tools used to quantify the impact of urban expansion on water bodies, in the context of the intensification of extreme phenomena (Bacău urbanization case study)
Authors: Marcoie Nicolae , Toma Daniel , Boboc Valentin , Hrăniciuc Tomi Alexăndrel , Balan Cătălin Dumitrel 
Published: January 2023

Abstract
The present study presents the results of the use of hydraulic and hydrological modeling in order to maintain the quantitative and qualitative parameters of the groundwater Capture Front Gherăeşti, Bacau County. With the help of specialized hydro-computer programs such as: Visual MODFLOW for groundwater dynamics, and Mike 11 for hydraulic modeling, the impact of urban development projects on surface and groundwater bodies can be simulated and anticipated. The results obtained are used in the Project to assess the impact of the project on water bodies (SEICA). SEICA contributes significantly to maintaining the quality of water bodies by making reasoned decisions that ensure the sustainability of urban development projects.
Performance of water valves required by water supply network digitalization process
Authors: Safta Carmen Anca , Cococi Valentin Nicolae , Călinoiu Constantin , Marin Alexandru 
Published: January 2023

Abstract
Digitalization process has the capacity to increase productivity and efficiency, to improve the business and reducing costs. Working with big data, using sensors, meters, digital controls and analytic tools, or artificial intelligence in smart water management, the water industry has known a profound transformation with the aim to improve the water services and consumption in the context of our day’s water threats. The water supply networks are exposed permanently to more leaks when water pressures are high which mean higher energy costs and more water losses. For this reason, water supply systems need to monitor in real time the main hydraulic parameters and to control and drive all the hydraulic equipment, to predict consumption and to anticipate the problems. The new water technology is using valves which regulate the water inlet to a system and receiving real-time wireless pressure values. Staring from the quality of services in water distribution systems, the present paper presents a pneumatic actuator used to control and drive water valves. The pneumatic actuator is controlled by a proportional valve. The numerical simulation results highlight the pneumatic actuator performance regarding the dynamic behaviour.
Parametrization of a wastewater hydraulic model under incomplete data constraint
Authors: Belghaddar Yassine , Delenne Carole , Chahinian Nanée , Seriai Abderrahmane , Begdouri Ahlame 
Published: January 2023

Abstract
Hydraulic simulation represents a powerful tool for studying wastewater networks. In order to achieve this target, hydraulic software require a set of parameters such as pipe slopes, roughness, diameters, etc. However, these pieces of information are rarely known for each and every pipe. Moreover, underground networks are frequently expanded, repaired and improved and these changes are not always reported in databases. The task of completing the required data represents the most time-consuming part of model implementation. In this context, we present algorithms that complete missing data required by hydraulic software. We automated this data insertion and transformation in SWMM© format to make it quicker and easier for the user. This automated solution was compared with manually estimated inputs. The simulation results show a coherent hydraulic behaviour.
Assessment of heavy metals removal in a wastewater using aquatic ferns
Authors: Hajiali Amir , Robescu Lăcrămioara Diana 
Published: January 2023

Abstract
Aquatic ferns, which due to their rapid growth on the surface of the water in aquatic areas in many countries as an invasive species threaten the aquatic life and ecosystem of the regions, have the ability to remove heavy metals in wastewater. In this study, their use in removal of existing heavy metals in a domestic wastewater was experimented and the results proved their remarkable efficiency in treating such a wastewater. This research was conducted in two steps; laboratory and semi-industrial. Applying a jar testing apparatus was the first attempt in laboratory scale and optimization of the following four different factors by a routine procedure was the further goal: pH-value, reaction time, absorbent, pollutant concentration. Afterwards, it was scaled up by a real wastewater and removal efficiency was evaluated under optimum conditions designed by the basic experiments. In the second stage, the reactor was designed and constructed on a semi-industrial scale and the removal rate of contaminated metals was achieved. Focusing on the energy efficiency after the heavy metal removal in this method in comparison with another method (active sludge) can be considered to be suggested for treating domestic wastewaters which include considerable contents of heavy metals.
Numerical modelling of the cooling water system of a 106MW Hydro-Power Plant using EPANET
Authors: Milcă Alexandru-Spiridon , Dunca Georgiana , Pitorac Livia 
Published: January 2023

Abstract
The present paper studies the behavior of the new proposed cooling water pumps for a 106 MW Hydro-Power Plant using EPANET. This case-study Hydropower Plant, located in the south of Romania and equipped with two Francis units 53 MW each, processing a 269m gross head, presently goes through a rehabilitation process. The cooling water system of this Hydro-Power Plant consists in four centrifugal pumps, two for each unit, and two additional pumps for the 130 MVA step-up transformer. The rehabilitation process involves the replacement of these pumps. A numerical model following the exact configuration of the cooling water system in what regards pipes diameters, lengths and roughness was designed in EPANET. The focus is to verify if the required pressure is ensured at the cooling water consumers of the plant considering their specific flow demand and if the velocity in the system pipes is within the acceptable limits during the power production process.
A cloud-based pipeline for analysis of FHIR and long-read data
Authors: Dunn Tim , Cosgun Erdal 
Published: January 2023

AbstractMotivationAs genome sequencing becomes cheaper and more accurate, it is becoming increasingly viable to merge this data with electronic health information to inform clinical decisions.ResultsIn this work, we demonstrate a full pipeline for working with both PacBio sequencing data and clinical FHIR® data, from initial data to tertiary analysis. The electronic health records are stored in FHIR® (Fast Healthcare Interoperability Resource) format, the current leading standard for healthcare data exchange. For the genomic data, we perform variant calling on long-read PacBio HiFi data using Cromwell on Azure. Both data formats are parsed, processed and merged in a single scalable pipeline which securely performs tertiary analyses using cloud-based Jupyter notebooks. We include three example applications: exporting patient information to a database, clustering patients and performing a simple pharmacogenomic study.Availability and implementationhttps://github.com/microsoft/genomicsnotebook/tree/main/fhirgenomicsSupplementary informationSupplementary data are available at Bioinformatics Advances online.
SBML2HYB: a Python interface for SBML compatible hybrid modeling
Authors: Pinto José , Costa Rafael S , Alexandre Leonardo , Ramos João , Oliveira Rui 
Published: January 2023

Abstract

Summary
Here, we present sbml2hyb, an easy-to-use standalone Python tool that facilitates the conversion of existing mechanistic models of biological systems in Systems Biology Markup Language (SBML) into hybrid semiparametric models that combine mechanistic functions with machine learning (ML). The so-formed hybrid models can be trained and stored back in databases in SBML format. The tool supports a user-friendly export interface with an internal format validator. Two case studies illustrate the use of the sbml2hyb tool. Additionally, we describe HMOD, a new model format designed to support and facilitate hybrid models building. It aggregates the mechanistic model information with the ML information and follows as close as possible the SBML rules. We expect the sbml2hyb tool and HMOD to greatly facilitate the widespread usage of hybrid modeling techniques for biological systems analysis.

Availability and implementation
The Python interface, source code and the example models used for the case studies are accessible at: https://github.com/r-costa/sbml2hyb.

Supplementary information
Supplementary data are available at Bioinformatics online.
Has the core outcome (domain) set for vitiligo been implemented? An updated systematic review on outcomes and outcome measures in vitiligo randomized clinical trials
Authors: Eleftheriadou Viktoria , Bergqvist Christina , Kechichian Elio , Shourick Jason , Ju Hyun-Jeong , van Geel Nanja , Bae Jung Min , Ezzedine Khaled 
Published: January 2023

AbstractBackgroundIn 2015, a major achievement in vitiligo research was the development of an internationally agreed upon core outcome domain set for randomized clinical trials (RCTs). Three outcomes were identified as being essential: repigmentation, side-effects/harms and maintenance of gained repigmentation. Four items were further recommended for inclusion. The following recommendations then followed: repigmentation should be assessed by measuring the percentage of repigmentation in quartiles (0–25%, 26–50%, 51–79%, 80–100%) and cosmetic acceptability of the results should be assessed using the Vitiligo Noticeability Scale.ObjectivesThe primary objective of this study was to assess uptake of the core outcome domain set for RCTs in vitiligo. Secondary objectives were to update the systematic review on outcomes reported in vitiligo RCTs, and to assess whether repigmentation and cosmetic acceptability of the results were measured using the above-mentioned recommended scales.MethodsWe searched PubMed, Cochrane Library (CENTRAL and Systematic Reviews) and ClinicalTrials.gov for vitiligo RCTs between November 2009 and March 2021. Screening and data extraction were independently performed on title and summary by two researchers. All outcomes and outcome measures reported in eligible RCTs were retrieved and collated.ResultsIn total, 174 RCTs were identified: 62 were published between 2009 and 2015, and 112 were published between 2016 and 2021.Thirty-eight different outcomes were reported. Repigmentation was the primary outcome in 89% of trials (150 of 169). Forty-nine different tools were used to measure repigmentation. Side-effects and harms were reported in 78% of trials (136 of 174). Maintenance of gained repigmentation was reported in only 11% of trials (20 of 174) and duration of follow-up varied greatly from 1 to 14 months. Cosmetic acceptability of the results and cessation of disease activity were assessed in only 2% of trials (four of 174). Quality of life of patients with vitiligo was assessed in 13% of trials (22 of 174). Finally, only 11 of 112 RCTs (10%) published between 2016 and 2021 reported all three essential core outcome domains (repigmentation, side-effects and maintenance of gained repigmentation) and none of the trials reported both essential and recommended core outcome domains.ConclusionsEfforts are still needed to close the gap between set recommendations and RCT outcome reporting.
A clinician-to-clinician universal electronic consultation programme at the cardiology department of a Galician healthcare area improves healthcare accessibility and outcomes in elderly patients
Authors: Mazón-Ramos Pilar , Cinza-Sanjurjo Sergio , Garcia-Vega David , Portela-Romero Manuel , Sanmartin-Pena Juan C , Rey-Aldana Daniel , Martinez-Monzonis Amparo , Espasandín-Domínguez Jenifer , Gude-Sampedro Francisco , González-Juanatey José R 
Published: January 2023

AbstractAimsWe aimed to assess longer-term results (accessibility, hospital admissions, and mortality) in elderly patients referred to a cardiology department (CD) from primary care using e-consultation in outpatient care.Methods and resultsWe included 9963 patients &gt;80 years from 1 January 2010 to 31 December 2019. Until 2012, all patients attended an in-person consultation (2010–2012). In 2013, we instituted an e-consult programme (2013–2019) for all primary care referrals to cardiologists that preceded a patient’s in-person consultation when considered. We used an interrupted time series (ITS) regression approach to investigate the impact of e-consultation on (i) cardiovascular hospital admissions and mortality. We also analysed (ii) the total number and referral rate (population-adjusted referred rate) in both periods, and (iii) the accessibility was measured as the number of consultations and variation according to the distance from the municipality and reference hospital. During e-consultation, the demand for care increased (12.8 ± 4.3% vs. 25.5 ± 11.1% per 1000 inhabitants, P &lt; 0.001) and referrals from different areas were equalized. After the implementation of e-consultation, we observed that the increase in hospital admissions and mortality were stabilized [incidence rate ratio (iRR): 1.351 (95% CI, 0.787, 2.317), P = 0.874] and [iRR: 1.925 (95% CI: 0.889, 4.168), P = 0.096], respectively. The geographic variabilities in hospital admissions and mortality seen during the in-person consultation were stabilized after e-consultation implementation.ConclusionsImplementation of a clinician-to-clinician e-consultation programme in outpatient care was associated with improved accessibility to cardiology healthcare in elderly patients. After e-consultations were implemented, hospital admissions and mortality were stabilized.
Rehabilitation services must include support for sexual and gender-based violence survivors in Ukraine and other war- and conflict-affected countries
Authors: Morgan Rosemary , Asiimwe Lillian , Ager Amanda L , Haq Zuhra , Thumba Linda , Shcherbinina Diana 
Published: January 2023

Abstract
Sexual and gender-based violence (SGBV)—both during times of war and peace—can have impactful negative social and health outcomes. Reports of rape being used as an act of war in Ukraine are drawing global attention to the need for specialized care for SGBV survivors during times of war and thereafter. While data remain limited, in 3 November 2022, 7 million people in Ukraine were reported to need SGBV prevention and response services. Services offered by the government and civil society include a coordination centre of free legal aid, online and mobile platforms, chat-bots, hotlines, assistance centres, shelters, crisis rooms and mobile brigades. Rehabilitation services to support women and girls who have experienced SGBV during times of conflict and war, however, remain limited. We must make sure that our understanding of rehabilitation extends beyond providing physical modalities or recovery after surgery and that SGBV survivors are not excluded from necessary care. This is particularly important if we want to ensure that rehabilitation services are meeting the needs of the most vulnerable populations. We call on the international rehabilitation community to ensure the availability of and access to these vital life-changing services.