bluuebunny/crossref_metadata_2025_split huggingface dataset:
Religion on the Rostrum:EuchomaiPrayers in the Texts of Attic Oratory
Authors: Serafim Andreas 
Published: July 2022

AbstractThis paper examines the use of prayers that are denoted by the verbeuchomai, and their function as a means of affecting the cognitive/emotional disposition of people in forensic, symbouleutic and epideictic orations. It is argued that (references to) prayers may be of explicit or implicit character, and that they serve a variety of purposes: to secure the goodwill of the audience for the speaker; to present his character and civic/political qualities positively, while attacking, undermining and incriminating opponents for religious and political misconducts; to invite people in court or in the Assembly to think they are inspected by an invisible yet omnipresent divine audience; to refer to patriotism; and to triangulate relations between the speaker, his opponents and the audience.
The roles and diagnostic value of miRNA-1246 in the serum of patients with intracranial aneurysms
Authors: Jiang Haijie , Ding Yansheng , Wu Lili , Jiang Chunyan , Wang Chengdong 
Published: July 2022

Abstract

Background
Inflammatory response is one of the important factors affecting the formation of intracranial aneurysm. miR-1246 is involved in the regulation of several inflammatory diseases; however, its expression levels and the mechanism of action in intracranial aneurysms remain further investigated.

Methods
Bioinformatics was used to analyze the levels of micro-RNAs (miRNAs) in the serum of intracranial aneurysm patients as well as in the intracranial aneurysm tissues downloaded from the GEO RNA-seq database. Blood samples were collected pre-operatively from patients with intracranial aneurysms as well as from healthy volunteers, and miRNA-1246 expression levels were detected using quantitative reverse transcriptase polymerase chain reaction. Meanwhile, the diagnostic value of miR-1246 for intracranial aneurysm was explored using the receiver operating characteristic (ROC) curve.

Principle findings and results
Serum levels of miR-1246 were elevated in intracranial aneurysm patients. Bioinformatics studies revealed that the target genes of miR-1246, TP53, glycogen synthetase kinase (GSK), and transcription factor YY1 may play important roles in the development of intracranial aneurysms. miR-1246 is involved in inflammatory response, lipid, and atherosclerotic signaling pathways.

Conclusions and significance
High level of miR-1246 is found in the serum of patients with intracranial aneurysms and may serve as a diagnostic or/and treatment marker for intracranial aneurysms.
“England Prevails?” Contemporary UK Politics and Alan Moore’s Border-Challenging Comics
Authors: Helbig Tina 
Published: July 2022

Abstract
This article connects Alan Moore’s comics V for Vendetta (1982–1989) and The League of Extraordinary Gentlemen Vol. I (1999–2000) and Vol. II (2002–2003) with contemporary UK politics, particularly with Brexit, populism, and the idea of British exceptionalism and its link to Britain’s nostalgic relationship with its past as an empire. It argues that particularly through Moore’s monstrous protagonists, who transgress a multitude of cultural borders, established mindsets, stereotypes, and prejudices are challenged, and complicated and uncomfortable questions are raised – thereby setting a stark contrast to the overly simplifying pseudo-answers handed out by populism.
Desiring Walls: Fantasies of Containment and Reimagined British Pasts
Authors: Boll Julia 
Published: July 2022

Abstract
In Sarah Moss’s Ghost Wall (2018), an archaeology class pitches camp near Hadrian’s Wall, where they are joined by a local family in an experimental re-enactment of Iron Age Britain. The novel explores nostalgic nationalism, fantasies of nativism and racial supremacy, and the wish for containment and boundaries in a contemporary world perceived as having lost its cultural core. Following Wendy Brown’s suggestion to read the desire to erect border walls as the symptom of a hysterical obsession with ‘the alien,’ this essay focuses on the construction of borders as ritual spectacles aimed at securing deeply gendered fantasies of innocence, regulation, and containment, and how this aligns with contemporary British national and cultural nostalgia. It will also explore the thematic connections and differences between Moss’s critical probing of reimagined old ways of life and the yearning for a wistful version of bygone Britishness perceptible in recent British nature and travel writings.
condLSTM‐Q: A novel deep learning model for predicting COVID‐19 mortality in fine geographical scale
Authors: Jo HyeongChan , Kim Juhyun , Huang Tzu‐Chen , Ni Yu‐Li 
Published: July 2022

BackgroundModern machine learning‐based models have not been harnessed to their total capacity for disease trend predictions prior to the COVID‐19 pandemic. This work is the first use of the conditional RNN model in predicting disease trends that we know of during development that complemented classical epidemiological approaches.MethodsWe developed the long short‐term memory networks with quantile output (condLSTM‐Q) model for making quantile predictions on COVID‐19 death tolls.ResultsWe verified that the condLSTM‐Q was accurately predicting fine‐scale, county‐level daily deaths with a two‐week window. The model’s performance was robust and comparable to, if not slightly better than well‐known, publicly available models. This provides unique opportunities for investigating trends within the states and interactions between counties along state borders. In addition, by analyzing the importance of the categorical data, one could learn which features are risk factors that affect the death trend and provide handles for officials to ameliorate the risks.ConclusionThe condLSTM‐Q model performed robustly, provided fine‐scale, county‐level predictions of daily deaths with a two‐week window. Given the scalability and generalizability of neural network models, this model could incorporate additional data sources with ease and could be further developed to generate other valuable predictions such as new cases or hospitalizations intuitively.
Functional data analysis: An application to COVID‐19 data in the United States in 2020
Authors: Tang Chen , Wang Tiandong , Zhang Panpan 
Published: July 2022

BackgroundIn this paper, we conduct an analysis of the COVID‐19 data in the United States in 2020 via functional data analysis methods. Through this research, we investigate the effectiveness of the practice of public health measures, and assess the correlation between infections and deaths caused by the COVID‐19. Additionally, we look into the relationship between COVID‐19 spread and geographical locations, and propose a forecasting method to predict the total number of confirmed cases nationwide.MethodsThe functional data analysis methods include functional principal analysis methods, functional canonical correlation analysis methods, an expectation‐maximization (EM) based clustering algorithm and a functional time series model used for forecasting.ResultsIt is evident that the practice of public health measures helps to reduce the growth rate of the epidemic outbreak over the nation. We have observed a high canonical correlation between confirmed and death cases. States that are geographically close to the hot spots are likely to be clustered together, and population density appears to be a critical factor affecting the cluster structure. The proposed functional time series model gives more reliable and accurate predictions of the total number of confirmed cases than standard time series methods.ConclusionsThe results obtained by applying the functional data analysis methods provide new insights into the COVID‐19 data in the United States. With our results and recommendations, the health professionals can make better decisions to reduce the spread of the epidemic, and mitigate its negative effects to the national public health.
The first wild record of Bulbophyllum lemniscatoides confirms its occurrence in the Philippine archipelago with notes on its habitat and conservation status
Authors: Naive Mark Arcebal K. , Cootes Jim 
Published: July 2022

Bulbophyllum lemniscatoides Rolfe is a species native to Peninsular Malaysia, Thailand, Laos, Cambodia, Vietnam, Sumatra, Java, and Borneo. It was recently collected in Mt. Timolan Protected Landscape of Zamboanga del Sur, confirming its occurrence in the Philippine archipelago. Here, we provide species descriptions based on our collected material and photographs to aid identification, geographical distribution information, habitat, phenology, and an IUCN conservation assessment.
Implementation of the concept of corporate social responsibility management for quasi-public sector companies
Authors: Bekenov Nurdaulet , Dossova Senymgul 
Published: July 2022

Corporate social responsibility affects the financial efficiency of the company, but this influence is most significant under certain environmental conditions, demonstrating a tendency to improve the situation in macroeconomics. However, the very mechanism of such influence remains unexplored. For the practical application of corporate social responsibility for the company’s benefit, it is important to connect corporate social responsibility indicators, environmental parameters with financial metrics. The research purpose is to justify the concept of adaptive management of corporate social responsibility for quasi-public sector companies in the context of macroeconomics changing factors. Research methodology: general scientific methods of cognition: comparison, analysis and synthesis, as well as system-situational, dialectical, abstract-theoretical, structural-functional, and systemic. The study hypothesized that by introducing the impact of the quality of CSR management on the financial performance of a quasi-public sector company, it is possible to provide a high gross domestic product growth rate. The concept of corporate social responsibility management for companies in the quasi-public sector has been developed. It was stated that the largest numerical values of the coefficients for 2018 and 2019 are more than 0.7 units. It was during those years, in accordance with the research results, that low (less than 6 %) inflation and a high GDP growth rate (more than 5 %) took place. Using the concept will make it possible to implement a systematic approach in the management of corporate social responsibility and ensure the conditions for achieving goals in the company of the quasi-public sector
Identification of factors that negatively affect the growth of agricultural crops by methods of orthogonal transformations
Authors: Yessenova Moldir , Abdikerimova Gulzira , Adilova Aknur , Yerzhanova Akbota , Kakabayev Nurbol , Ayazbaev Talgatbek , Sattybaeva Zeinigul , Ospanova Tleugaisha 
Published: July 2022

This paper focuses on aerospace image analysis methods. Aerospace images are considered for the study of agricultural crops of northern Kazakhstan belonging to the A. I. Barayev Research and Production Center for Grain Farming. The main goal of the research is the development and implementation of algorithms that make it possible to detect and highlight on aerospace images the factors that negatively affect the growth of crops over the growing seasons. To resolve the problem, the spectral brightness coefficient (SBC), NDVI, clustering, orthogonal transformations are used. Special attention was paid to the development of software tools for selecting characteristics that describe texture differences to segment texture regions into sub-regions. That is, the issue of the applicability of sets of textural features and orthogonal transformations for the analysis of experimental data to identify characteristic areas on aerospace images that can be associated with weeds, pests, etc. in the future was investigated. The questions of signal image processing remain the focus of attention of different specialists. The images act both as a result and as a research object in physics, astronautics, meteorology, forensic medicine and many other areas of science and technology. Furthermore, image processing systems are currently being used to resolve many applied problems.
A program has been implemented in the MATLAB environment that allows performing spectral transformations of six types: 1) cosine; 2) Hadamard of order 2n; 3) Hadamard of order n=p+1, p≡3 (mod4); 4) Haar; 5) slant; 6) Daubechies 4.
Analysis of the data obtained revealed the features of changes in the reflectivity of cultivated crops and weeds in certain periods of the growing season. The data obtained are of great importance for the validation of remote space observations using aerospace images
The influence of organizational and economic methods of household waste management on the volumes and structure of its formation: the experience of the Netherlands
Authors: Elrabaya Daker , Marchenko Valentyna 
Published: July 2022

In the context of global consumption growth, the amount of household waste is increasing, the management of which should be based on the choice of those methods that ensure the growth of its processing and do not increase the financial burden on the population.
This study examines the most common methods of organizing the management of solid domestic waste and the formation of tariffs for its disposal in the Netherlands. The effect of the applied method on the composition of the generated waste and the degree of separation of their components is analyzed. The cost of handling each ton of waste using each of the three most common methods is calculated.
The different influence of the method of payment for household waste management on the volume of mixed waste generation per capita and the volume of waste generation in general has been proven. The largest volumes of mixed waste were generated in those municipalities that introduced an annual fee per inhabitant. The smallest are when using payment by the volume of the garbage bag.
Depending on the method used in determining the payment for household waste management, the financial burden per tenant is calculated. In municipalities that have implemented a fixed fee for waste disposal per inhabitant, the load was 1.04 % of the annual income of the person, and when paying depending on the volume of garbage bags, 4.65 %.
It is established that the existing waste management system in the Netherlands has ensured a high level of organization of separate collection of household waste.
As a result of the study, no direct relationship was found between the method of calculating payment for waste disposal and the generation of mixed waste. It is concluded that the effectiveness of the implementation of the household waste management policy depends on the level of public awareness of the negative consequences of its impact on the environment
Risk analysis of Ex-spool 16” mol: an insight of machine learning and experimental result
Authors: Aditiyawarman Taufik , Soedarsono Johny Wahyuadi , Kaban Agus Paul Setiawan , Riastuti Rini , Rahmadani Haryo , Pribadi Mohammad , Ramdhani Rizal Tresna , Aribowo Sidhi , Suryadi Suryadi 
Published: July 2022

The paper reports the development of a Risk-Based Inspection (RBI)-Machine Learning perspective. The Optical Emission Spectrometry (OES), Tensile and Hardness Test, Scanning Electron Microscope (SEM), Energy Dispersive X-Ray Spectroscopy (EDS), Sulfate Reducing Bacteria Check, and X-Ray Diffraction (XRD) was used to analyze the root cause of the pipeline’s failure. Corrosion attack shows at the cross-section microstructure based on SEM results. Carbon, Manganese, Phosphorous, and sulfur’s chemical composition is dramatically lower than the standard API 5L Grade X42. Siderite and hematite dominate the composition of the corroded area as a result of CO2 dissolving in water. In contrast, hematite is generated due to the pipe and outdoor atmosphere reaction. Severe local wall thinning of the sand abrasion causes the degradation of the material’s mechanical properties and increases the corrosion rate. This result amplifies by the development of Machine Learning (ML) of Pearson Multicollinear Matrix and Supervised ML (Random Forest, Support Vector Machine, and Linear Regression) to estimate the corrosion degradation of the material. The source of datasets provided by ILI inspection includes the calculated PoF Remaining Useful Life (RuL) as input data, while Probability of Failure (PoF) prediction serves as output data. The Random Forest shows superior predictions of 92.18 %, with the lowest validation loss of 0.0316. The modeling result confirms the experimental outcome. This work demonstrates the implementation strategy to reduce the analysis time, minimize human bias, and serve as a reliable reference tool and guideline to maintain the integrity of the subsea pipelines.
Research on the use of motivational tools in the practical activity of pharmaceutical specialists
Authors: Horodetska Iryna , Levytska Oksana , Chukhray Iryna , Korniyenko Oleksandra , Bilushchak Halyna 
Published: July 2022

The aim. Research on the peculiarities of the use of modern motivational tools by domestic employers in the pharmaceutical industry (including training and involvement of pharmaceutical specialists in social projects).
Materials and methods. An anonymous online survey in the Google Form was conducted from April 3, 2021 to November 1, 2021 on the social network "Facebook" (including in four pharmaceutical groups of this network). Methods: analysis, synthesis, and generalization.
Results of the research. The main motivating factors of respondents and the main motivational tools used by employers in the pharmaceutical industry have been identified. The state of training and education during professional activities and the evaluation of their effectiveness by respondents have been studied. Professional and motivational-psychological trainings are in the lead in the ranking of educational projects (75.2 % of respondents). The methods of evaluation of pharmaceutical specialists used by employers in the pharmaceutical industry have been generalized. The attitude of respondents to the participation of employers in the pharmaceutical industry in social and charitable projects has been studied. Most respondents (67.5 %) positively perceives the participation of employers in social and charitable projects, for some of them this is a motivational advantage when choosing a place of work.
Conclusions. An online survey of 508 pharmaceutical professionals, conducted in a Google Form has allowed us to establish the features of current motivational approaches used today in pharmaceutical organizations and the attitude of respondents to them. It has been found that such motivational tools as trainings (innovative form of education) (55.1 %), as well as material forms of incentives (73.2 %) are widely used. At the same time, the main topics of the trainings are regarding the professional aspects of activity. An important factor in the life of a pharmaceutical organization is its social and charitable work, which forms a positive attitude towards it on the part of pharmaceutical professionals, and sometimes serves as a motivational advantage in choosing a place of work
Interaction of police officers with medical workers in providing premedical care to victims in case of thermal, electrical, solar and chemical burns in the conditions of the established martial law
Authors: Vaida Taras 
Published: July 2022

The paper considers an urgent problem - providing premedical care to victims in case of various burns by rescuers (police, specialists of emergency medical services and disaster medicine, the State Emergency Service, etc.) in the conditions of hostilities during the full-scale invasion of the aggressor country's troops.
The medical aspect of the concept of burns is revealed, their types (thermal, electric, chemical, solar) are characterized and the signs of the existing degrees of severity of the lesion depending on the depth of damage to human tissues are given. The procedure of providing premedical care by rescuers to victims of each of the above mentioned types of injuries is described.
Attention is paid to the peculiarities of transportation of victims with thermal burns: 1) compliance of the reception department, if possible, to the nature of the damage, especially in case of damage to the respiratory system or suspicion of serious or explosive injury; 2) the use, if possible, of air evacuation in case of remote location of the receiving department of the medical institution or if the victim's airways require surgical interventions that are not available at the pre-hospital level due to limited EMC capabilities; 3) immediate delivery of a person to the burn centre with an area of burns more than 10 % of the body and which are extended to the extremities, genitals, face and/or circular burns.
Taking into account the use of phosphorous bombs by aircraft of RF in the conditions of full-scale war on the territory of Ukraine, the peculiarities of chemical burns due to the action of white phosphorus on the human body are considered, and the algorithm of premedical care to victims of these lesions is revealed.
Emphasis is placed on the need to comply with contraindications in providing premedical care to victims of burns (it is strictly forbidden to use ice, oil, flour, aloe juice and other folk remedies; apply gels, ointments, creams, alcohol-based drugs to the wound for pain relief etc.)
AN EFFICIENT METHOD FOR SOLVING THE PROBLEM OF CHANNEL POWER DISTRIBUTION TAKING INTO ACCOUNT FUZZY CONSTRAINTS ON CONSUMPTION VOLUMES
Authors: Ivohin E. V. , Adzhubey L. T. , Gavrylenko V. V. , Rudoman N. V. 
Published: July 2022

Context. An efficient algorithm has been developed for solving the problem of rational distribution of the power of data transmission channels with fuzzy restrictions on consumption volumes. A standard solution method based on a fuzzy optimization problem is considered. A constructive variant of finding a solution based on the backtracking method is proposed.
Objective. The goal of the work is to develop an algorithm for solving the problem of rational distribution of the power of data transmission channels with fuzzy restrictions on consumption volumes based on the backtracking method.
Method. This paper The article proposes a method for solving the problem of rational distribution of the power of data transmission channels, taking into account fuzzy restrictions on consumption volumes. A feature of such tasks is the inability to meet the needs of the end user at the expense of the resources of different suppliers. The method of solution based on fuzzy problems of mathematical programming is considered. A constructive algorithm for solving the problem based on the backtracking method has been developed. Computational experiments have been carried out.
Results. The developed method for solving the problem of rational distribution of data transmission channel capacities, taking into account fuzzy restrictions on consumption volumes, made it possible to solve the problem of constructing an optimal configuration of a three-level information and computer network with a given number of communication servers and taking into account fuzzy consumption volumes.
Conclusions. Methods for solving the problem with fuzzy restrictions on the consumption volumes of end users are investigated. A fuzzy optimization problem is formulated, which allows taking into account the interval specified volumes for the connection values. A variant of solving fuzzy optimization problems in the case of using fuzzy numbers is proposed. A multi-criteria problem of efficient distribution of communication channel powers with fuzzy restrictions is formulated. A variant of the algorithm with a return is proposed, which allows solving the obtained problem. The approach is illustrated by a number of numerical examples for the problem of forming a network structure with a given number of end users and different allowable bandwidths of communication servers.