bluuebunny/crossref_metadata_2025 huggingface dataset:
Jejunojejunal Intussusception After Roux-en-Y Gastric Bypass and Abdominoplasty: A Rare Association or a Mere Coincidence?
Authors: Teixeira Sérgio , Martins Apolino , Silva Álvaro
Published: July 2022

Small bowel intussusception is a rare complication after Roux-en-Y gastric bypass, with few cases reported, and none in the immediate post-operative period of an abdominoplasty. We report the case of a 42-year-old woman, with an history of a laparoscopic Rouxen-Y gastric bypass, who developed small bowel occlusion secondary to a retrograde jejunojejunal intussusception in the second post-operative day of an abdominoplasty. This is the first report of a small bowel intussusception after Roux-en-Y gastric bypass in the post-operative period of an abdominoplasty. Doubts remain about the possible causal effect abdominoplasty might have in small bowel intussusception after Roux-en-Y gastric bypass.
Emotionale Verbundenheit am digitalen Arbeitsplatz : Bedingungen und Auswirkungen der Einbindung von Mitarbeitenden in die digitale Zusammenarbeit ; eine Netzwerkanalyse aus soziologischer Perspektive
Authors:   , Seidler Annett
Published: July 2022

Die vorliegende Studie untersucht den Zusammenhang zwischen sozialen Netzwerken am digitalen Arbeitsplatz und der emotionalen Verbundenheit, die Mitarbeitende ihrem Arbeitgeber gegenüber empfinden. Das Phänomen wird mit Blick auf das Muster von Sozialbeziehungen betrachtet, in die Mitarbeitende im Zuge von digitaler Zusammenarbeit eingebettet sind. Die Arbeit geht von der Annahme aus, dass die Einbindung der Akteure in betriebliche soziale Netzwerke entscheidend für deren Handlungsmöglichkeiten ist. Darauf aufbauend entwickelt sie das Argument, dass soziale Netzwerke am digitalen Arbeitsplatz betriebliche Handlungsmöglichkeiten bieten, die organisationale Identifikation und emotionale Verbundenheit begünstigen. Den empirischen Prüfstein für diese Annahmen bildet der digitale Arbeitsplatz einer international tätigen Organisation. Die verwendeten Daten stammen aus zentralen Anwendungen in Microsoft 365. Hierzu gehören anonymisierte Beziehungsdaten, resultierend aus dem Empfang und Versand von E-Mails über Microsoft Outlook, dem Austausch von Nachrichten über Microsoft Skype for Business, dem Transfer von Dateien und Dokumenten über Microsoft OneDrive sowie der Mitgliedschaft in virtuellen Arbeitsgruppen über Microsoft Groups. Um die emotionale Verbundenheit zum Arbeitgeber zu erfassen, wurden insgesamt 392 Mitarbeitende befragt. Der eingesetzte Fragebogen erfasst die organisationsbezogene Einstellung als das affektive organisationale Commitment. Die Ergebnisse zeigen, dass soziale Netzwerke am digitalen Arbeitsplatz in einem positiven Zusammenhang mit affektivem organisationalem Commitment stehen. Dieser ergibt sich aus der Kommunikation über E-Mails und Skype for Business, dem Transfer von Dateien und Dokumenten sowie der Mitgliedschaft in den virtuellen Arbeitsgruppen. Die empirische Analyse verdeutlicht, dass die Tendenz zu emotionaler Verbundenheit mit dem Grad der Vernetzung in diesen Netzwerken steigt. Eine positionale Analyse identifiziert vier strukturell äquivalente Positionen und untersucht Unterschiede im spezifischen Beziehungsmuster der Nutzenden und dem affektiven Commitment. Es zeigt sich, dass Akteure in Positionen, die umfassend sowohl an den virtuellen Arbeitsgruppen als auch der internen Kommunikation teilhaben, die stärkste emotionale Bindung aufweisen. Eine Analyse der Aufbauorganisation hat darüber hinaus offengelegt, dass soziale Netzwerke in einem komplementären Verhältnis zu den formalen Organisationsstrukturen stehen. Die gelebte Zusammenarbeit und Kommunikation am betrachteten digitalen Arbeitsplatz spielt sich in großen Teilen abseits von vordefinierten Prozessen und Abläufen ab, was mit wichtigen Implikationen für die betriebliche Praxis verbunden ist, insbesondere im Hinblick auf die Steuerung dieser Netzwerke.
Improvement of Catfish (Claris sp.) Production on Limited Land in Bukit Dempo Village, Belinyu
Authors: Andriyono Sapto , Patmawati Patmawati , Amin Muhamad , Syarif Ahmad Fahrul , Hudatwi Mu’alimah
Published: July 2022

The potential of freshwater fisheries in Bangka Regency, Bangka Belitung Province, is sufficient to support fisheries activities in this area. An activity that is quite prominent is catfish farming using swamps and tarpaulin ponds on limited land. In this study, the analysis of cultivation activities was carried out on the Bukit Dempo community group who became partners in the national community service activities, in cooperation with Universitas Airlangga and Bangka Belitung University. Characteristics of the pond using a combination of fixed nets with a net diameter of 0.5 cm. In the pond also found water plants in the form of water hyacinth which is expected to be able to make a symbiotic use of the organic material that has been left behind from feed and catfish waste. The cultivation system is classified as semi-intensive with a combination of commercial feed with high protein (31-33%).  The main problem in this cultivation system is low productivity and the lack of technology applied in an effort to increase production efficiency Furthermore, high production yields are marketed to Pangkal Pinang City and also to local areas around the Belinyu sub-district. Technical constraints include Motile Aeromonas Septicemia (MAS) due to the bacterium Aeromonas hydrophylla, which causes about 10% of mortality in commodities before harvest. There has been no treatment action in overcoming the disease, so it is necessary to be careful in avoiding death due to disease by observing catfish at the change of seasons.
Evaluation of Flock Volume Levels on Water Quality and Production Performance of Catfish (Clarias gariepinus) Culture Using Micropore Pipe As Aeration Diffusers.
Authors: Sumitro Sumitro , Afandi Arfan , Safia Wa Ode
Published: July 2022

High floc accumulation in intensive catfish culture will increase the bacterial consumption of oxygen and affects the dissolved oxygen in the media is relatively low then affecting the fish growth.  For control the floc accumulation is to remove the flock regularly. However, removing a large amount of floc will affect the flock's ability to control nitrogen waste in the water and the utilization of the flock as feed for fish will be minimum. The research was conducted to evaluate of floc volume levels on water quality and production performance of catfish culure in the biofloc system. The research design used a completely randomized design (CRD) with 4 treatments and 3 replications. The research treatments were floc volume level (KVF), namely (KVF) 20-40 ml/L, (KVF) 40-60 ml/L, (KVF) 60-80 ml/L and (KVF) 80-100 ml/L. The results showed that the water quality in all treatment were within the safe level for catfish. (KVF) 60-80 ml/L and 80-100 ml/L had higher survival rates of 100% (P <0.05). The growth rate in (KVF) 80-100 ml/L showed the lowest value compared of other treatments (P <0.05). (KVF) 60-80 ml/L can improve feed conversion ratio and increase protein retention by 59.17%, significantly different compared to other floc level treatment (P <0.05).
Eco-biological Study of the Mosquitofish Gambusia affinis from Oubeira lake
Authors: Chabet Dis Chalabia , Kara Fatma Zohra Toumi , Bouamama Saida , Sahra Fayrouz , Boucena Mohamed Amine
Published: July 2022

Gambusia was studied in Oubeira lake in spring 2016. A total of 100 specimens were collected in the lake. The sex ratio was F:M = 5.12: 1. The length-weight relationship was estimated for the population, with Wt = 0.0197Lt2.4451. The condition factor was calculated C=1±0.2 (for population) and a significant difference was observed between males and females. For 100 examined stomachs, the diet mainly consists of algae (N=54.96%, Pi= 166%, O=91%), followed by the mosquito larvae (N=21.52%, Pi= 65%, O=49%), detritus (N=19.2%, Pi= 58%, O=46%) and arthropods (N=4.3%, Pi= 13%, O=13%). For mosquitoes, two genus were recorded: Culiseta and Culex with 4 species: Culex pipiens, Culex theileri, Culex laticinctus and Culex antennatus. The culture experiments confirmed the important predation on mosquito larvae was observed with feeding intensity for females and males of 86 ± 12.28 % and 92 ± 8 % for the Culex larvae and 91 ± 7 and 93.66 ± 5.68 for the Culiseta larvae, respectively. No significant difference was observed between the sexes or for mosquito larvae. Our data support the idea that the introduction of mosquitofish has both negative and positive effects since this fish feeds on the most abundant food and not only on mosquitoes.
Growth and Lipid Profiles of Melosira sp. in response to Different Salinity Levels.
Authors: Suryaningtyas Indyaswan Tegar , Permadi Sandi , Solikin  , Jasmadi  , Sapulete Sherly , Suparmo  , Widyartini Dwi Sunu
Published: July 2022

The Diatom of Melosira sp. is one of the potential microalgae candidates for future biofuel resource due to its high lipid profile and fatty acid content, high growth rate, and a quick deposition rate. Salinity stress is one of the environmental factors affecting the growth of microalgae and their lipid content. This research was conducted to identify the response of Melosira sp. treated with different salinity levels on the cell growth rate, biomass productivity, and lipid production.  The microalgae cells were incubated for 8 days in 1 liter of F/2 growth medium with different salinity levels from 10 ppt to 35 ppt. Cell’s growth, SGR, biomass, lipid, and water quality factors were measured during incubation. This study revealed that the growth pattern of Melosira sp. cells under various salinities was customarily similar. Observation in the 35 ppt salt presenting the biomass productivity was 711.04 ± 69.38 mg.L-1 with lipid productivity which was 60.49 ± 1.72 mg.L-1. On the other hand, the observation of the lowest salt concentration displaying the biomass productivity was 316.64 ± 16.66 mg.L-1  with the lipid productivity which was 41.46 ± 6.94 mg.L-1. Hence, the results demonstrated that the lower salinity stress in 10 ppt enabled significant cell’s lipid production than the higher salinity of Melosira sp. in F/2 medium. Furthermore, lipid productivity was uncorrelation with biomass production pattern. This information may be useful in optimizing Melosira sp. lipid performance as a supporting knowledge.
Protein content of Spirulina sp. Cultured Using a Combination of Urea and TSP Fertilizers
Authors: Suherman Sutianto Pratama , Bunajir Bunajir , Hasim Hasim , Arsad Sulastri
Published: July 2022

This study aims to determine the effect of the combined use of Urea and TSP fertilizers on the Protein content of Spirulina sp. This research was conducted for 10 days at the Center for Brackish Water Aquaculture (BPBAP) Takalar. The method used in this study is an experimental design with Completely Randomized Design (CRD) using 4 treatments with 3 replications, namely Treatment A (0.4 g/l Urea + 0.008 g/l TSP), B (0.5 g/l Urea + 0.010 g/l TSP), C (0.6 g/l Urea + 0.012 g/l TSP) and D (0.4 g/l Urea + 0.008 g/l TSP). The data obtained were analyzed using descriptive analysis method. The results showed that the use of a combination of Urea and TSP fertilizers could have an effect on the protein content of Spirulina sp. with the highest protein content obtained in treatment C of 34.33%.
Climate change projections for UK viticulture to 2040: a focus on improving suitability for Pinot Noir
Authors: Nesbitt Alistair , Dorling Stephen , Jones Richard , Smith Dan K.E. , Krumins Marcus , Gannon Kate E. , Dorling Lewis , Johnson Zoë , Conway Declan
Published: July 2022

Between 1981–2000 and 1999–2018, growing season average temperatures (GST) in the main UK viticulture regions have warmed ~1.0 °C and are now more reliably >14.0 °C GST. This warming has underpinned the rapid expansion of the UK viticulture sector and its current focus on growing grape varieties for sparkling wine. Near-term (2021–2040) climate change may condition opportunities for further variety and/or wine style changes. Using the latest high-resolution (5 km) ensemble (×12) of downscaled climate change models for the UK (UK Climate Projections; UKCP18) under Representative Concentration Pathway (RCP) 8.5, we calculate near-term trends and variability in bioclimatic indices (BCIs). We simulate the projected repetition of the UK’s highest yielding season—2018—and use an analogue approach to model the 1999–2018 mean growing season temperatures from Pinot Noir producing areas of Champagne (France), Burgundy (France) and Baden (Germany) over the UK during 2021–2040. We also project, across the UK for the 2021–2040 period, BCI values of recent high-quality vintage years from Champagne and Burgundy. GST are projected to increase from a 1999–2018 spatial range of 13.0 (minimum threshold) –15.7 °C to a future (2021–2040) range of 13.0–17.0 °C, and Growing Degree Days (GDD) from 850 (minimum threshold) –1267 to 850–1515. Growing season precipitation (GSP) is projected to decline in some UK viticulture areas but is not modelled as a limiting viticulture factor. High inter-annual weather variability is simulated to remain a feature of the UK viticulture climate and early season frost risk is likely to occur earlier. Large areas of the UK are projected to have >50 % of years within the bioclimatic ranges experienced during the 2018 growing season, indicating potential higher yields in the future. The 1999–2018 mean Champagne, Burgundy and Baden GST and GDD are projected for much of England and some areas in the far south and south-east of Wales during 2021–2040, with significant areas projected to have >25 % of years within the BCI ranges of top Champagne vintages. These results indicate greater potential for Pinot Noir for sparkling wines and shifting suitability to still red wine production. Accounting for changes in variety suitability and wine styles will be essential to maximise opportunities and build resilience within this rapidly expanding wine region.
Correlation between Engagement and Quality of Life at Work in Nursing Professionals: Cross-Sectional Study in a Brazilian Hospital at the Beginning of the Covid-19 Pandemic
Authors: Carvalho Taisa Moitinho de , Lourenção Luciano Garcia , Pinto Maria Helena , Viana Renata Andrea Pietro Pereira , Moreira Ana Maria Batista da Silva Gonçalves , Mello Leticia Pepineli de , Matos Carla Graziela Carvalho , Beccaria Lucia Marinilza , Amendola Cristina Prata , Oliveira Amanda Maria Ribas Rosa de , Assoni Maria Aurélia da Silveira , Chubaci Eliana Fazuoli , Lima Luciana de Souza , Galisteu Katia Jaira , Ximenes Neto Franciso Rosemiro Guimarães , Sasaki Natalia Sperli Geraldes Marin dos Santos , Santos Maria de Lourdes Sperli Geraldes , Oliveira Jacqueline Flores de , Cunha Carlos Leonardo Figueiredo , Borges Flávio Adriano , Cunha Juliana Lima da
Published: July 2022

Objective: To investigate the correlation between engagement and quality of life at work in nursing professionals, from a public hospital in the interior of the state of São Paulo, Brazil, at the beginning of the Covid-19 pandemic. Methods: Cross-sectional, descriptive, and correlational study, with nursing professionals, conducted between December 2020 and January 2021. We used the Brazilian versions of the Utrecht Work Engagement Scale and the Walton Model scale. Results: The nursing professionals obtained a strong and positive correlation (r≥0.70) between the social integration domain of QWL and vigor dimension of work engagement (r=0.88; p=<0.001); moderate positive correlation (r≥0.40≤0.69) between QWL working conditions and vigor (r=0.40; p=<0.001), dedication (r=0.40; p=<0.001) and overall score (r=0.41; p=<0.001) of the work engagement. The correlations were positive and weak (r≤0.39) for the other domains of QWL and dimensions of work engagement. Conclusion: Professionals with satisfactory levels of quality of life tended to have higher levels of engagement at work. Professionals were strongly engaged and satisfied with their quality of life at work at the beginning of the Covid-19 pandemic.
An Exploratory Study of Tweets about the SARS-CoV-2 Omicron Variant: Insights from Sentiment Analysis, Language Interpretation, Source Tracking, Type Classification, and Embedded URL Detection
Authors: Thakur Nirmalya , Han Chia Y.
Published: July 2022

This paper presents the findings of an exploratory study on the continuously generating Big Data on Twitter related to the sharing of information, news, views, opinions, ideas, knowledge, feedback, and experiences about the COVID-19 pandemic, with a specific focus on the Omicron variant, which is the globally dominant variant of SARS-CoV-2 at this time. A total of 12028 tweets about the Omicron variant were studied, and the specific characteristics of tweets that were analyzed include - sentiment, language, source, type, and embedded URLs. The findings of this study are manifold. First, from sentiment analysis, it was observed that 50.5% of tweets had the ‘neutral’ emotion. The other emotions - ‘bad’, ‘good’, ‘terrible’, and ‘great’ were found in 15.6%, 14.0%, 12.5%, and 7.5% of the tweets, respectively. Second, the findings of language interpretation showed that 65.9% of the tweets were posted in English. It was followed by Spanish or Castillian, French, Italian, Japanese, and other languages, which were found in 10.5%, 5.1%, 3.3%, 2.5%, and <2% of the tweets, respectively. Third, the findings from source tracking showed that “Twitter for Android” was associated with 35.2% of tweets. It was followed by “Twitter Web App”, “Twitter for iPhone”, “Twitter for iPad”, “TweetDeck”, and all other sources that accounted for 29.2%, 25.8%, 3.8%, 1.6%, and <1% of the tweets, respectively. Fourth, studying the type of tweets revealed that retweets accounted for 60.8% of the tweets, it was followed by original tweets and replies that accounted for 19.8% and 19.4% of the tweets, respectively. Fifth, in terms of embedded URL analysis, the most common domains embedded in the tweets were found to be twitter.com, which was followed by biorxiv.org, nature.com, wapo.st, nzherald.co.nz, recvprofits.com, science.org, and other URLs. Finally, to support similar research and development in this field centered around the analysis of tweets, we have developed an open-access Twitter dataset that comprises tweets about the SARS-CoV-2 omicron variant since the first detected case of this variant on November 24, 2021.
Diagnostics of Ovarian Tumors in Postmenopausal Patients
Authors: Mustafin Chingis , Turnbull Arran , Vesnin Sergey , Dixon Mike , Goryanin Igor
Published: July 2022

Ovarian cancer is the third most common female genital cancer. Therefore, the timely diagnosis and comprehensive treatment of postmenopausal patients with benign ovarian tumors remains crucial in the field of gynecology. The significance of ovarian tumors depends on their frequency and their effects on the quality of life of a woman, as well as the possible development of ovarian cancer. Most ovarian cancers are diagnosed late and as a result are difficult to treat and often carry a poor prognosis. Currently there is no clear algorithm available for examining and accurately diagnosing patients with postmenopausal ovarian tumors; moreover, reliable criteria allowing dynamic observation and determining surgical access and optimal surgical intervention measures in postmenopausal patients is lacking.
Pathophysiology of Infective Endocarditis in High-Income Countries
Authors: Nappi Francesco , Martuscelli Giorgia , Bellomo Francesca , Avtaar Singh Sanjeet Singh , Moon Marc R.
Published: July 2022

Infective endocarditis remains an illness that carries a significant burden to healthcare resources. In recent times, there has been a shift from Streptococcus sp to Staphylococcus sp as the primary organism of interest. This has significant consequences given the virulence of Staphylococcus and its propensity to form a biofilm, rendering non-surgical therapy ineffective. In addition, antibiotic resistance has affected treatment of this organism. The cohorts at most risk for Staphylococcal endocarditis are the elderly patients with multiple comorbidities. The innovation of transcatheter technologies alongside other cardiac interventions such as implantable devices have contributed to the increased risk attributable to this cohort. We examine the role of the heart team for diagnosis and treatment of this condition. In addition, we examine the determinants of virulence of Staphylococcus aureus, the interaction with hosts immunity and the discovery and emergence of a potential vaccine. We also examine the potential role of prophylactic antibiotics during dental procedures. With increasing rates of transcatheter device implantations, there is a projected increment of endocarditis especially in this high-risk group. A high index of suspicion is needed alongside early initiation of therapy and referral to the heart time to improve outcomes.
JmjC Family of Histone Demethylases form Nuclear Condensates
Authors: Vicioso-Mantis Marta , Aguirre Samuel , Martínez-Balbás Marian A
Published: July 2022

JmjC-family of lysine demethylases (JMJC-KDMs) plays an essential role controlling gene expression and chromatin structure. In most cases, their function has been attributed to the demethylase activity. However, accumulating evidence demonstrates that these proteins play roles distinct from histone demethylation. This raises the possibility that they might share domains that contribute to their functional outcome. Here, we show that the JMJC-KDMs contain low complexity domains as well as intrinsically disordered regions, which in some cases reached 70% of the protein. Our data revealed that PHF2, KDM2A and KDM4B cluster by phase-separation in vitro and in vivo. Moreover, our molecular analysis demonstrated that these domains are important to regulate transcription, suggesting that clustering via phase -separation is a common feature that JMJC-KDMs utilize, in addition to their catalytic activity, to facilitate their functional responses. Our study uncovers a novel potential function for the JMJC-KDM family that sheds light on the mechanisms to achieve the competent concentration of molecules in time and space within the cell nucleus.
Effect of Co and Cr on the Stability of Strengthening Phases in Nickelbase Superalloys
Authors: Bäker Martin , Rösler Joachim
Published: July 2022

Nickel-base superalloys like VDM 780 may possess a high content of Cr and Co. This influences solution energies of phase-forming elements like Al and Ta (γ′-phase), Nb (γ′′- and δ-phase), and Ti (η-phase). We perform density functional theory studies of a nickel matrix at 0 K with high concentrations of either Co and Cr and calculate the influence of these elements on solution energies. In the case of Co, the solution energy can be predicted well by the nearest-neighbor interaction in the Co-rich matrix. For Cr, the effect is more complicated because Cr has a larger ionic radius and changes the magnetic state of the material. The effect of a Cr-rich matrix on the energy of Co is dominated by magnetic effects, interactions with the other elements by elastic deformation of the lattice.
Epitopological Sparse Deep Learning via Network Link Prediction: A Brain-Inspired Training for Artificial Neural Networks
Authors: Zhang Yingtao , Muscoloni Alessandro , Cannistraci Carlo Vittorio
Published: July 2022

Sparse training (ST) aims to improve deep learning by replacing fully connected artificial neural networks (ANNs) with sparse ones. ST is promising but at an early stage, therefore it might benefit to borrow brain-inspired learning paradigms such as epitopological learning (EL) from complex network intelligence theory. EL is a field of network science that studies how to implement learning on networks by changing the shape of their connectivity structure (epitopological plasticity). EL was conceived together with the Cannistraci-Hebb (CH) learning theory according to which: the sparse local-community organization of many complex networks (such as the brain ones) is coupled to a dynamic local Hebbian learning process and contains already in its mere structure enough information to partially predict how the connectivity will evolve during learning. One way to implement EL is via link prediction: predicting the existence likelihood of each nonobserved link in a network. CH theory inspired a network automata rule for link prediction called CH3-L3 that was recently proven to be very effective for general purpose link prediction. Here, starting from CH3-L3 we propose a CH training (CHT) approach to implement epitopological sparse deep learning in ANNs. CHT consists of three parts: kick start pruning, to hint the link predictors; epitopological prediction, to shape the ANN topology; and weight refinement, to tune the synaptic weights values. Experiments on MNIST and CIFAR10 datasets compare the efficiency of CHT and other ST-based algorithms in speeding up the ANN training across epochs. While SET leverages random evolution and RigL adopts gradient information, CHT is the first algorithm in ST that learns to shape sparsity by using the sparse topological organization of the ANN.
Estimation of the Stage-Wise Costs of Breast Cancer in Germany Using a Modeling Approach
Authors: Shah Alam Khan , Hernandez-Villafuerte Karla , Hernandez Carreno Diego Andres , Michael Schlander
Published: July 2022

Breast cancer (BC) is a heterogeneous disease representing a substantial economic burden. In order to develop policies that successfully decrease this burden, the factors affecting costs need to be fully understood. Evidence suggests that early detection in Stage I has a lower cost than late detection. We aim to provide conservative estimates of BC's stage-wise medical costs from German healthcare and the payer's perspective. To this end, we conducted a literature review of articles evaluating stage-wise costs of BC in Germany through PubMed, Web of Science, and Econ Lit databases supplemented by Google Scholar. We developed a decision tree model to estimate BC related medical costs in Germany using available treatment and cost information. The review generated seven studies; none estimated the stage-wise costs of BC. The studies were classified into two groups: (1) case scenarios (five studies) and two studies based on administrative data. The first sickness funds data study (Gruber, Stock, et al. 2012) used 1999 information to approach BC attributable cost; their results suggest a range between €3,929 and €11,787 depending on age. The second study (Kreis, Plöthner, et al. 2020) used 2011-2014 data and suggested an initial phase incremental cost of €21,499, an intermediate phase cost of €2,620, and a terminal phase cost of €34,513 per incident case. Our decision tree model based BC stage-wise cost estimates were €21,523 for Stage I, €25,679 for Stage II, €30,156 for Stage III, €42,086 for Stage IV. Alternatively, the modeled cost estimates are €20,284 for the initial phase of care, €851 for the intermediate phase of care, and €34,963 for the terminal phase of care. Our estimates for phases of care are consistent with recent German estimates provided by Kreis and Plöthner et al. Furthermore, the data collected by sickness funds are collected primarily for reimbursement purposes, where the German ICD-10 classification system defines a cancer diagnosis. As a result, claims data lack the clinical information necessary to understand stage-wise BC costs. Our model-based estimates fill the gap and inform future economic evaluations of BC interventions.
DEVELOPMENT OF NONLINEAR MODEL OF NPP STEAM GENERATOR FOR INFORMATION TECHNOLOGY OF CONTROL OPTIMIZATION
Authors: Nikulina Olena , Severyn Valerii , Bubnov Anton , Kondratov Oleksii
Published: July 2022

Steam generators of modern power units of nuclear power plants are critical elements of power units and are subject to modernization. Identification of the steam generator model for optimizing the control of the steam generator is an urgent task. The purpose of this article is to develop a nonlinear mathematical model of a steam generator in relative variables for its use in information technology for optimizing control. Mathematical models of heat transfer and steam formation processes in a steam generator are presented in the form of systems of differential equations in relative variables. These models are intended for simulation modeling of thermal processes in a steam generator. Thermal processes are associated with the supply of feed water to the steam generator from the water treatment system and coolant from the nuclear reactor, as well as with the removal of steam from the steam generator to the main steam collector. According to the law of conservation of the momentum of the working medium in the circulation circuit of the steam generator under the evaporation mirror, a nonlinear differential equation for the process of circulation of the steam-water mixture is obtained. A nonlinear differential equation has been developed to calculate the derivative of the steam flow through the evaporation mirror in relative variables. The equations for the auxiliary equipment – the main steam header, the steam turbine valve actuator and the control feed valve actuator – are reduced to relative variables. Using the equations of heat transfer, steam formation, circulation and auxiliary equipment, a nonlinear model of the steam generator in the state space as a control object in relative variables is constructed. Formulas are given for calculating the values of the constant parameters of the steam generator model from the values of its design and technological parameters. A program for a nonlinear mathematical model of the PGV-1000 steam generator has been developed, which is included in the information technology steam generator model module. This will make it possible to solve the problems of identifying and optimizing the information control system of the water level in the steam generator PGV-1000 of the power unit with a nuclear reactor VVER-1000.
THE APPROACH AND THE SOFTWARE TOOL TO CALCULATE SEMANTIC QUALITY MEASURES OF BUSINESS PROCESS MODELS
Authors: Kopp Andrii , Orlovskyi Dmytro
Published: July 2022

Business process models are essential business process management artifacts that help describe visually ongoing business activities to facilitate communication between information technology and business stakeholders. Business process models are used to find inefficient spots within described workflows and resolve detected shortcomings by automation via configurable software solutions or unified workflow engines. However, this is impossible when using syntactically or semantically poor business process models. It is the same as building a house using the blueprint with windows on the floor and typos in text labels. Therefore, it is extremely important to keep created business process models clear and relevant to the actual workflows they describe. Hence, in this paper, we propose the approach and the software tool to calculate semantic quality measures of business process models. The proposed approach uses a special procedure to extract the modeling domain statements using natural language processing techniques. According to the proposed approach, the initial textual descriptions of business process models should be tokenized. Then obtained tokens should be turned to the lower case style and cleansed to remove non-alphabetic tokens and stop words. Finally, the remaining tokens should be stemmed and the existing duplicates should be removed. The same procedure is then repeated for text labels attached to the business process model activities. Then, tokens present in the result of textual description’s processing but missing in the result of labels’ processing are considered incomplete (i.e. incorrect in the modeling domain). Similarly, tokens present in the result of labels’ processing but missing in the result of textual description’s processing are considered invalid (i.e. irrelevant to the modeling domain). Therefore, respective semantic quality measures can be calculated. The software tool is created using the Python programming language because of its powerful natural language processing packages.
Muscle Dysmorphia in Fitness Center Members: Its Affecting Factors and Impacts
Authors: Fitranti Deny Yudi , Widyastuti Nurmasari , Noer Etika Ratna , Rahadiyanti Ayu , Dieny Fillah Fithra , Purwanti Rachma , Sandi Dewi Kurnia , Destikasari Widya
Published: July 2022

Muscle dysmorphia (MD) has several impacts on the decline in social and health functions. This study aimed to determine the correlation between MD with eating behaviors and exercise loading among fitness center members and analyze the factors affecting it. This study used a cross-sectional design with 100 subjects chosen by a consecutive sampling method at three fitness centers in Semarang City. The subjects were all male members of an active fitness center between 17 and 45 years. The data of MD were obtained using the Drive Muscular Scale (DMS), while eating behavior data were obtained using the Eating Attitude Test-40 (EAT-40) and the training load data, including the duration and frequency of weight training data. Social influence data, self-esteem data, and perfectionism data were obtained using a questionnaire. The findings revealed that 61% of the subjects experienced MD, 80% experienced impaired eating behavior, and 80% consumed supplements. There was a correlation between the occurrence of MD with eating behavior with PR = 2.56 and consumption of supplements with PR = 2.56. The most influential factor on MD was a social influence.
Prediction of Dynamic Characteristics of Thermocouples with Thin-Wire Sensing Elements
Authors: Safina I. A. , Artemyeva S. A.
Published: July 2022

Thermocouples dynamic characteristicsʼ prediction is one of the relevant directions in the field of dynamic measurements of non-stationary temperatures of liquid and gaseous media. Thermocouples dynamic characteristicsʼ prediction makes it possible to provide effective continuous correction in automatic control systems for non-stationary temperatures. The purpose of this paper was to develop a theoretically justified relation linking the current or expected time constant of fine-wire thermocouples with the known time constant established at known parameters of liquid and gaseous media.

A formula linking the time constant of fine-wire thermocouples with the conditions of heat exchange with the measured medium and the thermophysical characteristics of the thermocouple sensing elements has been deducted. An approximate formula is also given for calculating the internal resistance of wire sensing elements of thermocouples, which must be considered when calculating the time constant of a thermocouple. In consideration of the obtained formulas, a multi-parameter relation linking the current or expected time constant of fine-wire thermocouples with the known time constant set at the known parameters of the measured media has been formed.

It is suggested to simplify the formed multi-parameter relation and make it dependent, for example, on the “expected velocity of the measured medium × expected density of the measured medium” complex (Vm2 ρm2 ). Simplified relations in the form of hyperbolic functions with constant parameters and argument in the form of Vm2 ρm2 complex were obtained for airflowat different temperatures, pressures, and velocities.

On the example of airflow, it is shown that the complex multi-parametric relation linking the expected

and known time constants of thermocouples can be simplified to a hyperbolic dependence, where the argument can be the Vm2 ρm2 complex. Moreover, the degree of approximation of hyperbolic dependencies to the exact values of the multi-parametric relation can reach the R-square = 0.9592 criterion.

A multi-parametric relation has been proposed. That relates the known time constant of a thermocouple to the expected or current time constant of the same thermocouple at other parameters of the measured medium from the point of view of the heat exchange and thermal conduction theory. The proposed relation can be used in automatic control systems of non-stationary temperature of various liquid or gaseous media to provide continuous correction of thermocouples dynamic characteristics. Depending on the number of measured medium parameters, the suggested multi-parameter relation can be replaced by simplified relations with other complexes containing, for example, density, velocity, flow rate and pressure of the measured medium.
Fracture Propagation Behavior of Bedding Shale in the Process of Multistage Cluster Fracturing considering the Intercluster Stress Interference
Authors: Zhang Qingqing , Yang Huanqiang , Liu Yang , Xiong Dong , Mei Yuntao
Published: July 2022

Staged multicluster fracturing in horizontal wells is the key technology for forming complex fractures in shale reservoirs. The existence of shale bedding plays a conspicuous role for the propagation path of hydraulic fractures, affecting the propagation of the fracture height direction prominently. A 3D finite element model containing three clusters signed as side clusters and middle cluster was established based on the cohesive zone model and the dynamic distribution mechanism of interfracture flow. And the correctness of the model was verified by literature comparison. Some factors including cluster spacing, horizontal stress difference, shale bedding strength, perforation density, injection rate, and viscosity of fracturing fluid which influenced fracture propagation behavior of bedding shale were simulated. The results indicate that the stress interference of the middle cluster by the clusters on both sides will be prominently obvious when the cluster spacing is less than 10 m. Multiclusters will penetrate across the shale bedding when the horizontal stress difference is more than 4 MP, which will conspicuously reduce the activated probability of discontinuities and the complexity of fracture geometry. In correspondence with increase of horizontal stress difference, the interference between clusters also increases prominently, which will conspicuously decrease the propagation of the middle cluster. In order to comprehensively equalize the length of multiclusters, the inhibition of intercluster stress interference on the middle cluster propagation can be counteracted by improving pressure drop in perforation. The high injection rate and viscosity of fracturing fluid will contribute to the shale bedding shear slip increasingly, which is conducive to the formation of complex fractures in areas with well-developed bedding. The study has a certain guiding significance for the operation parameter design of multicluster fracturing in bedded shale.
Investigation on Mechanism of Coal Burst Induced by the Geological Weak Surface Slip in Coal Seam Bifurcation Area: A Case Study in Zhaolou Coal Mine, China
Authors: Mu Zong-long , Yang Jing , Liu Guang-jian , Zhang Yu-chen , Jiao Jian-hang
Published: July 2022

The coal seam bifurcation area (CSBA) exists widely in coal measure strata, where the geological weak surface (GWS) slip in overburden structure is easy to induce coal burst. The coal mass of coal face shows overall instability failure and high-speed throwing characteristics during the coal burst, seriously threatening the safe and efficient coal mine production. In order to understand the GWS-induced coal burst caused by the slip in CSBA and find the main controlling factors of GWS slip, the GWS slip criterion in CSBA was established based on the coal burst case analysis of overburden structure in CSBA of 1305 coal face (1305CF) in Zhaolou Coal Mine. The case study showed that the angle and range of CSBA are the main controlling factors affecting GWS slip. The FLAC3D numerical model of CSBA was established to analyze the influence effect of main control factors. The results show that the increase of angle and range of CSBA will increase the influence scope and degree of coal face mining, improving coal face burst risk. However, the peak point region of abutment pressure will not be affected, gradually reaching its peak within 0 m ~10 m from the coal seam merging area. With the increase of the angle of CSBA, the integrity of the triangular wedged rock mass along the GWS slip will be enhanced, aggravating the dynamic disturbance to the coal mass. With the increase of the range of CSBA, the slip of triangular wedged rock mass along GWS gradually changes from integral slip to phased slip, which will intermittently disturb the coal mass of the coal face. The research results have certain theoretical significance and practical value for preventing and controlling coal bursts in CSBA.
Acoustic Emission Characteristics of Fracture and Damage in Coal Samples under Overstress Loading and Unloading Paths
Authors: Zhu Guang-an , Su Bo-ru , Liu Hai-yang , Jiang Qi-peng , Liu Huan
Published: July 2022

As coal mining depth is over 1000 m, an overstressed effect is commonly observed around working face which shows a higher stress than the ultimate strength of the coal mass. Aiming at the problem of dynamic disasters induced by overstress loading and loading, a true triaxial AE monitoring unit was designed to systematically investigate the acoustic emission (AE) characteristics of fracture and damage. The AE results show that the ring counts of coal sample under true triaxial loading are influenced by three factors: loading level, individual differences, and loading rates. When under lower true triaxial loads, the coal sample damage represented by ring counts appears largely in loading phase, and the quantity is few. When true triaxial loads increase, the number of ring counts, especially in packing phase, increases significantly, which indicates that the damage process is transferred from loading phase to packing phase. The study on evolution laws of microcracks, wave velocity, and energy indicates that, during the initially true triaxial loads, the primary microcracks and the initial loading on primary dense areas contributes to a small amount of lower and higher velocity regions in the sample. Along with the increase of true triaxial loading, the closure of the primary microcracks and the fracture of the dense area result in a transfer and expansion of higher velocity regions and the formation of velocity anomaly regions. When approaching failure, the macrocracks throughout the sample present a large area of lower velocity band. The formation and closure of cracks, the fast transfer of high velocity region, and the velocity anomaly region indicate the unstable status of the sample. During the packing phase of true triaxial loads, the cracks are compacted, and the inner structures are thoroughly damaged in the sample, which eventually presents a continuous damage in a form of the shrink of the lower velocity region and the increase of integral velocity of the sample.
Plan de negocios para la creación de una empresa turística dedicada al desarrollo de actividades de ecoturismo en las regiones de la Amazonia peruana
Authors:   , Caballero Cuadros Alvaro Noe
Published: July 2022

El presente trabajo desarrolla una propuesta de negocio enfocada en la invención de una compañía turística destinada al desarrollo de actividades de ecoturismo en las regiones de la amazonia peruana. El plan que se presenta considera el contexto actual del sector turístico, que enmarcado en los atractivos de la región amazónica deja en evidencia una gran oportunidad por sus vastos recursos naturales y biodiversidad, además de la fuerte y última introducción de capital por parte del Estado para potenciar el turismo de esta zona. A partir de estos factores se considera factible presentar una propuesta basada en prácticas sostenible como lo es el ecoturismo, idónea para esta región y sus pobladores, por sus múltiples beneficios tanto económicos, sociales y ambientales. En el desarrollo del trabajo se definen los lineamientos para la operatividad y viabilidad del plan, determinando su rentabilidad a partir de los siguientes apartados: i) Plan estratégico; ii) Plan de Marketing; iii) Plan de operaciones; iv) Plan de recursos Humanos y v) Plan financiero, basando su teoría principalmente en Weinberger (2009), partiendo de esto se logró analizar el potencial del sector turístico y viabilidad de la propuesta resultando con un Valor actual neto económico (VANE) de S/. 322,485, una Tasa interna de retorno del 92.5% y un índice de costo beneficio de 1.10, siendo este mayor que uno y resultando entonces factible.
Phase Behavior and Physical Properties of Dimethyl Ether/CO2/Water/Heavy Oil Systems under Reservoir Conditions
Authors: Huang Desheng , Li Yunlong , Yang Daoyong
Published: July 2022

In this paper, techniques have been developed to quantify phase behavior and physical properties including phase boundaries, swelling factors (SFs), and phase volumes for reservoir fluids containing polar components from both experimental and theoretical aspects. Experimentally, a total of seven pressure-volume-temperature (PVT) experiments, including one set of dimethyl ether (DME)/heavy oil system, one set of DME/water/heavy oil system, three sets of DME/CO2/heavy oil systems, and two sets of DME/CO2/water/heavy oil systems, have been carried out to measure saturation pressures, phase volumes, and SFs by using a versatile PVT setup. Theoretically, the modified Peng-Robinson equation of state (PR EOS) incorporated with the Huron-Vidal (HV) mixing rule and the Péneloux volume-translation strategy is used as the thermodynamic model to perform phase equilibrium calculations. Once validated with the measured phase compositions of DME/water mixtures collected from the literature, the theoretical model developed in this work is used to reproduce the experimental measurements for the aforementioned reservoir fluids. It is observed that the saturation pressures of DME/CO2/water/heavy oil mixtures are higher than those of DME/CO2/heavy oil mixtures at the same temperature and same molar ratio of solvents and heavy oil, owing to the fact that more water molecules can be evaporated into the vapor phase. The binary interaction parameters (BIPs) between DME/heavy oil and CO2/DME pair, which are obtained by matching the measured saturation pressures of DME/CO2/heavy oil mixtures, work well for DME/CO2/heavy oil mixtures in the absence and presence of water. In addition, the swelling effect of heavy oil can be enhanced by adding the DME and CO2 mixtures compared with only DME or CO2. The new model developed in this work is capable of accurately reproducing the experimentally measured multiphase boundaries, SFs, and phase volumes with root-mean-squared relative errors (RMSREs) of 4.68, 0.71, and 9.35%, respectively, indicating that it can accurately provide fundamental data for simulating, designing, and optimizing the hybrid steam-solvent recovery processes for heavy oil reservoirs.
From planetary to regional nitrogen boundaries for targeted policy support
Authors: Schulte-Uebbing Lena , Beusen Arthur , Bouwman Alexander , de Vries Wim
Published: July 2022

Excessive agricultural nitrogen (N) use causes serious environmental problems globally1, to an extent that scientists have claimed that the safe planetary boundary has been exceeded2. Earlier estimates for the planetary N boundary3,4, however, did not account for spatial variability in both ecosystems’ sensitivity to nitrogen pollution and agricultural nitrogen losses. Here we used a spatially explicit model to establish regional boundaries for agricultural nitrogen surplus from thresholds for eutrophication of terrestrial and aquatic ecosystems and nitrate in groundwater. We show that regional boundaries for agricultural nitrogen pollution reveal both overuse and room for intensification. The aggregated global surplus boundary to respect all thresholds is 43 Mt N yr-1, 64% lower than current (2010) nitrogen surplus (119 Mt N yr-1). Allowing nitrogen surplus to increase to close yield gaps in regions where environmental thresholds are not exceeded lifts the planetary nitrogen boundary to 57 Mt N yr-1. Feeding the world without trespassing regional and planetary nitrogen boundaries requires large increases in nitrogen use efficiencies accompanied by mitigation of non-agricultural nitrogen sources such as sewage water. This asks for coordinated action, recognizing the heterogeneity of agricultural systems, non-agricultural nitrogen losses, and environmental vulnerabilities.