bluuebunny/crossref_metadata_2025_split huggingface dataset:
Detecting sensor failures based on environmental and economic parameters of boiler room operation using neural network
Authors: Filinkov Leonid Igorevich , Likhter Anatoliy Mikhailovich , Kokuev Andrey Gennadievich , Glebov Victor Valerievich , Denisov Dmitriy Vladislavovich 
Published: April 2022

Operation of boiler units is often followed by the sensors failure, their readings are not true by any reason. At the Ulyanovsk TPP-1 in January 2021, an experiment was carried out to clear the main technological parameters
of the boiler unit No. 1. The statistical data obtained in the experiment formed the basis of the training sample for the neural network. To solve the problem of predicting one of the parameters, it was decided to create a single-layer neural network based on regression of many variables. The content of oxides in flue gases was taken as a predicted parameter. A neural network is a single-layer network with one output neuron and four input neurons. After fully training of the neural network, a prediction accuracy test was performed based on test data. The test prediction error was 0.0076, which indicates the high accuracy of the developed neural network. For the convenience of obtaining predictions using a neural network and outputting additional data (efficiency), a function was developed that takes the following values at the input: natural gas consumption, O2 content in flue gases, steam consumption behind the boiler and temperature of flue gases. Based on the input data, a prediction of the NOx content in the flue gas is made. This predicted parameter value is compared with the actually measured value, and based on this, it is concluded that the sensor needs to be replaced or calibrated. This function allows improving the existing decision support systems by reducing the percentage of false prompts
Accuracy of virtual surgical planning and custom three-dimensionally printed osteotomy and reduction guides for acute uni- and biapical correction of antebrachial deformities in dogs
Authors: De Armond Christina C. , Lewis Daniel D. , Kim Stanley E. , Biedrzycki Adam H. 
Published: April 2022

Abstract

OBJECTIVE
To report clinical experience using virtual surgical planning (VSP) and surgical application of 3D printed custom surgical guides to facilitate uni- and biapical correction of antebrachial deformities in dogs.

ANIMALS
11 dogs (13 antebrachial deformity corrections).

PROCEDURES
Using CT-based bone models, VSP was performed, and surgical guides were designed and 3D printed. The guides were used to execute osteotomies and align bone segments. Postoperative CTs were obtained to compare limb alignment with the VSP. Long-term assessment of lameness and cosmesis were compared with preoperative status.

RESULTS
Guides were successfully utilized and postoperative analysis was available for 10 of 13 deformities. Guides were abandoned in 2 deformities due to soft tissue tension. Evaluation of postoperative frontal, sagittal, axial, and translational limb alignment revealed that over 90% of parameters were within the acceptable range of ≤ 5° angulation and rotation or ≤ 5 mm of translation from the VSP. Lameness scores were improved in 7/8 deformities with associated preoperative lameness, and posture was improved in 10/10 deformities in which guides were deployed. Complications included reduced range of carpal motion (n = 2), implant sensitivity (n = 2), fracture (n = 1), and tendon laceration (n = 1).

CLINICAL RELEVANCE
VSP and customized surgical guide application facilitated accurate antebrachial limb deformity correction in the majority of deformities in this case series. The use of VSP and 3D printed guides would appear to be a viable and accurate approach for correction of both uni- and biapical antebrachial deformities in dogs.
The Role of Genetics in a Personalized Approach in Patients with Feeding Problems, Overweight and Obesity
Authors: Antonova O. , Spasova V. 
Published: April 2022

Abstract

Aim: For the last 20 years a large amount of data was gathered showing a genetic predisposition to overweight and obesity. The aim of this study was to demonstrate a personalized, genetic-based approach in normalizing the patients’ weight and eating habits.

Materials and methods: Eight patients – seven women and one man – aged 28-51 years with BMI ranging from 17,58 to 38,95 kg/m2 were examined. Two of them were underweight, two – with normal weight, two – overweight, and two – obese. Patients were genotyped for: APOA2 (rs5082), ADIPOQ, (rs17300539), FTO (rs9939609), KCTD10 (rs10850219), LIPC (rs1800588), MMAB (rs2241201), PPARG (rs1801282), ANKK1/DRD2 (rs1800497), TAS2R38 (rs1726866), LEPR (rs2025804) and SLC2A2 (rs5400). Based on the genetic results, the type of diet (balanced, Mediterranean, low-fat and low-carbohydrate) was determined; the predisposition to unhealthy eating habits was described and followed by a genetic counseling to clarify the findings as well as a dietitian consultation to formulate a personalized diet.

Results: Our results showed that the patients’ actual diet was equivocally different from the genetically determined one. Аll patients, except for one, had hereditary predispositions to a particular unhealthy eating habit.

Conclusion: The inclusion of genetic testing and personalization of the diet facilitates the long-term maintenance of optimal body weight.
The Effect of Maintenance Works to Physical and Chemical Conditions of Small Rivers in Agricultural Areas
Authors: Brysiewicz Adam , Czerniejewski Przemysław , Bonisławska Małgorzata , Dąbrowski Jarosław 
Published: April 2022

Abstract
Abiotic and biotic bounty of riparian waters may be affected by inadequate maintenance works. Improper planning and execution of maintenance works cause changes to hydrological and hydrochemical condition of water in small rivers, affecting biocenose of riverbeds by modifying the taxonomic composition of organisms inhabiting the regulated river section. Five (5) rivers were subject to studies - Plonia, Mysla, Tywa, Rurzyca, and Wardynka (Odra river basin), which were monitored before and after maintenance works consisting in desilting, mowing and removal of aquatic plants. This study examined hydrological (mean depth and width of small rivers, speed and flow), physical and chemical parameter of water (temperature, pH, O2, N-NO3, N-NH4, P-PO4) before and after dredging of selected rivers. Obtained results and resulting statistical analysis demonstrated increase in hydrological indices - depth, width, speed and flow. Among other physical and chemical properties that significantly increased following completion of maintenance works, were O2 and NH4. NO3 concentration and temperature dropped, but not statistically significant. Changes in hydrological and hydrochemical properties of waters caused by maintenance works may affect biodiversity of the regulated river sections, including changes in composition of ichthyofauna species.
Temporal Variation in Pollinators’ Visitation of Lantana camara in a Tropical Urban Landscape: Does Butterfly Abundance and Richness Drive the Fruit Set?
Authors: Cézar Kelve , Franklin Elizabeth , Pinto Carlos Eduardo 
Published: April 2022

Abstract
Pollinator richness, abundance and visitation frequency may be affected by the abundance of floral resources and abiotic factors, influencing plant reproductive success. We analysed whether the diversity, abundance and frequency of butterfly visitation on Lantana camara vary across the year in a tropical urban landscape and whether this variation in butterfly community influences plant’s reproductive success. A two-period survey, referred to here as rainier and drier seasons, was carried out in 12 spatially independent plants. Five pollination treatments were applied: single visit, hand cross-pollination, hand self-pollination, spontaneous self-pollination and open pollination (control). A total of 15,749 flowers were used for fruit production analysis. Butterfly richness, abundance and the reproductive success of L. camara increased in the drier season. Open pollination was ninefold more reproductively successful during the drier season. Fruit production of hand cross-pollinated plants was threefold higher than open-pollinated plants during the rainier season. No significant difference was found between these treatments in the drier season, attesting the highest abundance of pollination during this period. We provide evidence that changes in the pollinator community affect fruit production. The increase in pollinator diversity allows different visitors to pollinate the plant, increasing fruit set through functional complementarity. This effort establishes baseline data of plant–pollinator interactions for further long-term investigations across different weather seasons. The understanding of L. camara and butterflies’ synergism will support conservation measures of pollinator populations.
Blockchain technology applicability in New Zealand’s prefabricated construction industry
Authors: Bakhtiarizadeh Ehsan , Shahzad Wajiha Mohsin , Poshdar Mani , Rotimi James Olabode Bamidele 
Published: April 2022

Abstract
Different industries are modernising their systems and introducing innovations to their management practices. However, the construction industry is recognised for its lack of technological systems on which the success of this sector is deemed to be heavily dependent. Previous studies have focused on enhancing the off-site construction supply chain. However, studies on the importance and utilisation of technology in this sub-sector are scarce, predominantly where the efficiency of off-site supply chain management is stalled as a consequence of the slow implementation of technology. Thus, this article employs an exploratory approach by providing insight into the applicability of blockchain technology in New Zealand’s off-site construction and demonstrates the benefits associated with the adoption of this technology. A literature review was used to identify stakeholders’ interrelationships in different stages of prefabrication projects. Then, a pilot interview from industry experts followed by a questionnaire survey was used to determine the involvement of stakeholders in different phases and the benefits that blockchain technology can bring to this industry. The results indicate that using blockchain as a secure information management system could improve the integration of prefabrication supply systems by producing a collaborative atmosphere amongst the organisations involved.
Lattice Dynamics Calculations for Mg1-XZnxO Solid Solutions
Authors: Tipaldi C. F. , Gabrusenoks J. 
Published: April 2022

Abstract
In this study, Mg1-xZnxO solid solutions are studied by modelling lattice dynamics, using the methods of classical molecular dynamics. These time-efficient methods are of great interest since they allow using large crystallic structures, which reduce artificial defect periodicity. The main program used is General Utility Lattice Program (GULP). The Buckingham potential is used for modelling interatomic forces. The parameters for this potential are found for different effective ionic charges by using lattice parameters and vibrational frequencies obtained from ab initio calculations performed in the program CRYSTAL14. With these potentials, the dispersion relations and densities of states have been calculated for MgO, ZnO and Mg1-xZnxO. Calculations have been made for different Mg and Zn contents in the wurtzite and cubic phase solid solutions, respectively, using the supercell method and a large number of Brillouin zone sampling points.
New interatomic potentials for interactions Mg-O, O-O, Zn-O have been obtained. These potential parameters have been verified and the phonon dispersion curves and DOS for MgO and ZnO utilising these potential parameters have been compared to other studies, both experimental and theoretical. By adding more Zn in the cubic phase (c-MgO) solution, no local vibrational modes are observed; however, there is a clear spectral widening and a noticeable change in the low frequency region (100–300 cm−1) of the DOS. Adding more Mg in wurtzite phase (w-ZnO) solution, on the other hand, results in local vibrational modes in the mid (350 cm−1) and high frequency (650 cm−1) regions.
Eddy Current Microsensor and RBF Neural Networks for Detection and Characterization of Small Surface Defects
Authors: Aber Chifaa , Hamid Azzedine , Elchikh Mokhtar , Lebey Tierry 
Published: April 2022

Abstract
The growing complexity of industrial processes and manufactured parts, the growing need for safety in service and the desire to optimize the life of parts, require the implementation of increasingly complex quality assessments. Among the various anomalies to consider, sub-millimeter surface defects must be the subject of particular care. These defects are extremely dangerous as they are often the starting point for larger defects such as fatigue cracks, which can lead to the destruction of the parts.
Penetrant testing is now widely used for this type of defect, due to its good performance. Nevertheless, it should be abandoned eventually due to environmental standards. Among the possible alternatives, the use of eddy currents (EC) for conductive materials is a reliable, fast, and inexpensive alternative.
The study concerns the design and modeling of eddy current probe structures comprising micro-sensors for non-destructive testing. The moving band finite element method is implemented for this purpose to take into account the movement of the sensor, experimental validations were conducted on a nickel-based alloy specimen. The real and imaginary parts of the impedance at every position of the sensor computed by experiments and simulations were in good agreement. The crack detection quality was quantified and the geometric characteristics of the defects were estimated using RBF NN (Radial Basis Function Neural Networks) that were designed and implemented on the acquired signals.
Stylistic Features: Conversational Implicature of the Poem “Jabberwocky” by Lewis Carroll
Authors: Rahayu Ni Kadek Dwi 
Published: April 2022

The present study aimed to analyze the stylistic features especially conversational implicature of the poem “Jabberwocky” written by Lewis Carroll. Implicature theory was the cooperative principle by Paul Grice to use to analyze. Two reasons support to uses of this theory. The method was used Documentation method with note-taking and highlighting technique. First, The poem was taken from the novel entitled Through the Looking-Glass and What Alice Found There. Second, the implied conversation between the characters was found in this poem. This study analyses the violating maxims only. The results were all maxims are violated. Then, Maxim of Quality was mostly violated in this poem.
Consensus Terminology for Point of Care Ultrasound Studies with Incomplete Documentation and Workflow Elements
Authors: Nomura Jason , Flannigan Matthew , Liu Rachel , Theodoro Daniel 
Published: April 2022

Point of Care Ultrasound (POCUS) use by emergency physicians has grown in both breadth and depth of clinical use [1-3]. POCUS workflow is different from a traditional imaging-based specialist workflow because a single clinician orders, obtains images, interprets, and reports the exam results. Traditionally, multiple individuals participate in the workflow: the clinician places the order; an ultrasound technologist reconciles order and identifiers and acquires images; lastly an imaging specialist interprets the exam and creates a report. hese contrasting approaches has led to unique challenges in streamlining POCUS workflows and identifying disruptions, errors and potential corrections given the differences from radiology focused workflow and resources.
Intracranial fungal Cladophialophora bantiana infection in a nonimmunocompromised patient: A case report and review of the literature
Authors: Kilbourn Kent J. , Green Jaquise , Zacharewski Nicholas , Aferzon Joseph , Lawlor Michael , Jaffa Matthew 
Published: April 2022

Background:
Cladophialophora bantiana is a dematiaceous fungus that rarely infects the central nervous system (CNS). It is associated with a mortality rate of over 70% despite treatment.

Case Description:
An 81-year-old female with a remote history of renal cell carcinoma presented with progressive headache and an expressive aphasia for 3 days. Computed tomography imaging revealed a left frontotemporal mass with surrounding vasogenic edema. A left frontotemporal craniotomy was performed and cultures revealed C. bantiana. The initial management with IV voriconazole was unsuccessful and the patient had a recurrence of the cranial infection and developed pulmonary abscesses. Following the addition of oral flucytosine, the patient showed a significant improvement with a complete radiographic resolution of both the cranial and pulmonary lesions.

Conclusion:
C. bantiana involving the CNS is a rare and often fatal disease. Surgical management along with standard antifungal treatment may not provide definitive therapy. The addition of flucytosine to IV voriconazole resulted in a positive outcome for this patient who is alive, living independently 1 year from the original diagnosis. In this rare fungal infection, standard antifungal treatment may not provide adequate coverage and the utilization of additional therapy may be required.
Spinal epidural abscess due to acute pyelonephritis
Authors: Scalia Gianluca , Marrone Salvatore , Paolini Federica , Palmisciano Paolo , Ponzo Giancarlo , Giuffrida Massimiliano , Furnari Massimo , Iacopino Domenico Gerardo , Nicoletti Giovanni Federico , Umana Giuseppe Emmanuele 
Published: April 2022

Background:
Spinal epidural abscesses are rare and are misdiagnosed in up to 75% of cases. Fever, back pain, and neurological deficits are part of the classical triad. Here, the authors report a patient with a L2–L5 spinal epidural abscess with the left paravertebral extension attributed to acute pyelonephritis.

Case Description:
A 54-year-old female presented with persistent low back pain and lower extremity weakness accompanied by paresthesias. Previously, she had been hospitalized with the left acute pyelonephritis. The lumbosacral MRI documented a T12/L5 anterior epidural abscess with ring enhancement on the contrast study; the maximum diameter of the abscess at the L2–L3 level contributed to severe cauda equina compression. She underwent a L2/L4 decompressive laminectomy with drainage of the intraspinal/extradural and paravertebral components. Intraoperative microbiological sampling grew Staphylococcus aureus for which she then received targeted antibiotic therapy. Fifteen days later, she was walking adequately when discharged.

Conclusion:
Thoracolumbar epidural abscesses are rare. They must be considered among the differential diagnoses when patients present with acute back pain, fever, and new neurological deficits following prior treatment for acute pyelonephritis.
The impact of SARS-CoV-2 on respiratory syndromic and sentinel surveillance in Israel, 2020: a new perspective on established systems
Authors: Glatman-Freedman Aharona , Gur-Arie Lea , Sefty Hanna , Kaufman Zalman , Bromberg Michal , Dichtiar Rita , Rosenberg Alina , Pando Rakefet , Nemet Ital , Kliker2, Limor , Mendelson Ella , Keinan-Boker Lital , Zuckerman Neta S , Mandelboim Michal ,   on behalf of The Israeli Respiratory Viruses Surveillance Network (IRVSN)
Published: April 2022

Background
The COVID-19 pandemic presented new challenges for the existing respiratory surveillance systems, and adaptations were implemented. Systematic assessment of the syndromic and sentinel surveillance platforms during the pandemic is essential for understanding the value of each platform in the context of an emerging pathogen with rapid global spread.

Aim
We aimed to evaluate systematically the performance of various respiratory syndromic surveillance platforms and the sentinel surveillance system in Israel from 1 January to 31 December 2020.

Methods
We compared the 2020 syndromic surveillance trends to those of the previous 3 years, using Poisson regression adjusted for overdispersion. To assess the performance of the sentinel clinic system as compared with the national SARS-CoV-2 repository, a cubic spline with 7 knots and 95% confidence intervals were applied to the sentinel network's weekly percentage of positive SARS-CoV-2 cases.

Results
Syndromic surveillance trends changed substantially during 2020, with a statistically significant reduction in the rates of visits to physicians and emergency departments to below previous years' levels. Morbidity patterns of the syndromic surveillance platforms were inconsistent with the progress of the pandemic, while the sentinel surveillance platform was found to reflect the national circulation of SARS-CoV-2 in the population.

Conclusion
Our findings reveal the robustness of the sentinel clinics platform for the surveillance of the main respiratory viruses during the pandemic and possibly beyond. The robustness of the sentinel clinics platform during 2020 supports its use in locations with insufficient resources for widespread testing of respiratory viruses.
Seasonality of respiratory syncytial virus and its association with meteorological factors in 13 European countries, week 40 2010 to week 39 2019
Authors: Li You , Wang Xin , Broberg Eeva K , Campbell Harry , Nair Harish ,   European RSV Surveillance Network
Published: April 2022

Background
Respiratory syncytial virus (RSV) is the predominant cause of clinical pneumonia among infants and young children, often peaking during the winter months in temperate regions.

Aim
To describe RSV seasonality in 13 European countries and examine its association with meteorological factors.

Methods
We included weekly RSV seasonality data from 13 European countries between week 40 2010 and week 39 2019. Using local weighted regression method, we modelled weekly RSV activity with meteorological factors using data from the 2010/11 to the 2017/18 season. We predicted the weekly RSV activity of the 2018/19 season across 41 European countries and validated our prediction using empirical data.

Results
All countries had annual wintertime RSV seasons with a longitudinal gradient in RSV onset (Pearson’s correlation coefficient, r = 0.71, 95% CI: 0.60 to 0.80). The RSV season started 3.8 weeks later (95% CI: −0.5 to 8.0) in countries in the eastern vs western parts of Europe, and the duration ranged from 8–18 weeks across seasons and countries. Lower temperature and higher relative humidity were associated with higher RSV activity, with a 14-day lag time. Through external validation, the prediction error in RSV season onset was −2.4 ± 3.2 weeks. Similar longitudinal gradients in RSV onset were predicted by our model for the 2018/19 season (r = 0.45, 95% CI: 0.16 to 0.66).

Conclusion
Meteorological factors, such as temperature and relative humidity, could be used for early warning of RSV season onset. Our findings may inform healthcare services planning and optimisation of RSV immunisation strategies in Europe.