bluuebunny/crossref_metadata_2025_split huggingface dataset:
Investigation into near-contour stresses in stoping with backfilling by the polarization-optical method
Authors: Shchokin V P , Kulish S A , Moshinskiy V I , Karapa I A , Karnauh A V 
Published: July 2022

Abstract
When mining deposits with room-and-pillar methods with backfilling, available hanging wall rocks and ores of medium or low stability can cause hanging wall rock collapses into stoping areas, thus causing escalation of ore dilution with waste rocks. The research work is aimed at determining areas of maximum stresses and their quantitative characteristics which can cause collapses of hanging wall rocks in the mined-out stope area and developing technological solutions to reduce concentration of stresses. Options of mining stopes located on the hanging wall of the deposit are investigated on polarization-optical models. According to the results of studying polarization-optical models with different designs of stope chains, there are obtained stress fields for each model in the zone of stope influence. The research reveals that when using a stoping method with partial processing of hanging wall rocks in the contact plane with the country rocks, the maximum stresses are much higher than in case of the arched form of the stoping area. On the basis of the obtained research results, it is recommended to carry out chambers with the formation of a vaulted shape of the roof from the hanging side in order to reduce the clogging of the ore.
Mathematical aspects of remote assessment of the radiation state of contaminated areas
Authors: Zabulonov Yu L , Popov O O , Skurativskyi S I , Bondar O I , Iatsyshyn Andrii V , Molitor N 
Published: July 2022

Abstract
The use of radioactive materials is widespread in scientific investigations and various sectors of the economy. There are also extremely radiation-hazardous objects, for instance the well-known Chornobyl Exclusion Zone (Chornobyl, Ukraine) covering the large contaminated areas and the Shelter Object containing the materials of huge radioactivity of about 20 MCi. To safe handling with such objects and materials, the correct their monitoring, detection and characteristics evaluation are vital. The modern development of small flying machines, measurement equipment, and information technologies allow one to increase the amount of measurement data and their accuracy, and to reduce the processing time. On the other hand, the requirements to accuracy, quickness, and correctness of data interpretation increase as well. To solve these problems effectively, the mathematical tools of data processing should be improved. The main mathematical problem at the remote evaluation of radioactive fields relates to the solving the inverse problem for the Fredholm integral of the first kind. In this research, we consider the reconstruction of surface density of gamma radiation on the ground using the data of aerial shooting. We survey the methods for solving the inverse problem, their advantages and disadvantages. The adaptation of the methods to the reconstruction of nonstationary discontinuous radioactive fields is presented. We modify the numerical algorithms using the opportunities of modern calculating software. In particular, it is considered the task when the algorithm reconstructs the density distribution very well.
The impact of fuel delivery logistics on the cost of thermal energy on the example of biofuels boilers in Ukraine
Authors: Yu Bogoslavska O , Stanytsina V V , Artemchuk V O , Maevsky O V , Garmata O M , Lavrinenko V M , Zinovieva I S 
Published: July 2022

Abstract
One of the important directions for achieving the goals of sustainable development and decarbonization is to increase the share of biofuels, including in heat supply systems. In this case, an important factor in deciding on the use of biofuel boilers is the cost of fuel, which is affected by the delivery logistics. The authors determined the impact of logistics for different types of fuel for low-power boilers (0.5 and 1 MW, burning biofuels) on LCOH. The calculations take into account the existing rates of environmental tax. The paper considers the transportation of biofuels by road to small consumers over short distances (within a radius of several hundred kilometers). The study showed that the cost of delivery of pellets from producer to consumer can be up to 20% of their cost. It is established that the transportation of a ton of pellets per 1 km increases the cost of this ton by about 1.35 UAH, therefore, the logistical component in the final cost of pellets can be significant.
Building stone resources of Dnipropetrovsk region
Authors: Panteleeva N B , Syvyj M J , Kalinichenko O O , Volik O 
Published: July 2022

Abstract
The article deals with the analysis of building stone resources of Dnipropetrovsk region that are used and can be used in order to provide construction needs. Dnipropetrovsk region is one of the most economically developed Ukrainian regions due to mineral and raw material resources being located on its territory. A part of regional mineral raw extraction comes up to almost 50% of mineral deposit balance reserves and the provision exceeds three times the national rate. Crystalline Pre-Cambrian rocks of East European platform fundament as gneiss, granites, quartzites, migmatites, granodiorites, amphibolites and sedimentary apron rocks – malmrocks – are natural construction material in the region. 42 building stone deposits are located on the territory of the region among them 19 deposits are developed also refer to big and middle and 24 are not developed. The biggest amount of developed deposits is located in the Dnipro, Kryvyi Rih, Kamianske and Nikopol districts. Building stone extraction is equal to approximately 14% from national quantity. Deposit exploitation is performed by commercial structures and state corporation enterprises. The conclusions are made about the ways of expanding capacities of building stone extraction due to complex iron ore deposit development and the opportunity of building stone reserve increase in the region.
Estimation of efficiency of use of water-lifting equipment in technological processes of agricultural production
Authors: Dotsenko N A , Batsurovska I V 
Published: July 2022

Abstract
The article presents the estimation of efficiency of use of water-lifting equipment in technological processes of agricultural production. It is outlined the principle of operation water-lifting equipment in technological processes of agricultural production. It is based on increasing the required pressure for the water supply network by direct repeated use of gravitational forces in the form of weight of the liquid column from natural or artificial pressure. The efficiency of the technological process is assessed by the amount of consumption of water and the speed of flow movement. These parameters (optimization criteria) depend on four main independent factors: the head height; volume of transit tanks; pipe diameter; pipe length. The optimal constructive and technological parameters of water-lifting equipment in technological processes of agricultural production are considered.
Use of the Esri’s ArcGis products to create indicators of the integrated characteristics of the WTG placement in the geoecological system on the territories of wind farms
Authors: Aleinykova K H , Siokhin V D 
Published: July 2022

Abstract
With the development of wind energy in the south of Ukraine, there was a question of the safety of its operation for the ecosystems of the region. The goal of many years of work was the development of methods for geoecological analysis of natural and technical geosystems in the territories of wind farms to assess the impact of wind turbine placement. An integrated approach in carrying out monitoring work and individual methods of analysis, as well as the characteristics of the natural and technical geosystem, using an integral approach, made it possible to synthesize various aspects into a single geoecological system, the analysis of which gives a more complete picture of the relationships and connections of the objects of the territory as a complex natural and technical geosystem. The resulting analysis of the criteria provides a better environmental assessment and selection of means to minimize the negative consequences of the impact on the natural environment.
Spatial distribution of micromollusks under the impact of recreation
Authors: Kunakh O , Umerova A , Degtyarenko E 
Published: July 2022

Abstract
Anthropogenic impacts lead to a decrease in the abundance and diversity of communities of living organisms. The rate of recovery of populations is inversely proportional to size: the smaller the size, the greater the potential for population recovery after negative impact. Therefore, under conditions of extremely high levels of anthropogenic impact, small-sized animals are a reliable source of ecosystem state. The aim of the work is to: 1) to evaluate rates of the micromollusc Vallonia pulchella (Müller, 1774) abundance in ecosystems that are subject to extremely high levels of recreational pressure; 2) to identify factors that influence the spatial patterns of soil micromollusks; and 3) to investigate the possibility of using micromollusks for the purposes of bioindication of recreational pressure. The soil sampling was performed on a regular grid with recording of local coordinates. The micromollusks were extracted from the soil samples by hand sorting. Physical properties of soil sensitive to recreational load were also measured. Micromolluscs were found to exhibit a non-linear response to recreational impact. The maximum abundance of animals is observed at a certain distance from recreational trails. This distance is specific for different species of micromollusks. Micromollusks have high population abundance even under conditions of high recreational load. The regular spatial patterns of these animals are caused by changes in the soil habitat, which are induced by recreational load. This circumstance allows to consider micromollusks as a reliable indicator of the level of recreational load.
Visualization of demographic statistical data
Authors: Bondarenko O V , Hanchuk O V , Pakhomova O V , Tsutsunashvili G , Zagórski A 
Published: July 2022

Abstract
In this publication, the authors address the content and objectives of demographic data visualization, generalize the most common techniques and tools for demographic data visualization, and share their own experience of testing various statistical visualization practices, namely World Population Dashboard of United Nations Population Fund and Population Reference Bureau. Special emphasis is placed on the implementation of Trendalyzer software, developed by the Swedish Gapminder Foundation, and the experience of demographic statistics visualization via interactive infographics made by Oxford Martin School (a structural unit of the Department of Social Sciences at Oxford University). The presented article evaluates the contribution to the visualization of statistical data made by such Ukrainian organizations as State Statistics Service, public organization “Ukrainian Center for Public Data”, BusinessViews and Top Lead. Outlining the advantages and disadvantages of various visualization practices, the authors argue that “dry” statistics being represent by means of visualization tools such as Trendalyzer and Our World Data may constitute a clear and expressive language of convincing facts that contribute to a holistic demographic worldview.
Re-faced and Pornified— A Visual, Narrative Analysis of Sexual Scripts in Police Cases of Image-based Abuse
Authors: Harder Sidsel Kirstine 
Published: July 2022

AbstractThis article analyses police cases to argue that image-based sexual abuse should not be understood as only happening to women who have shared risqué image of themselves. Anyone could have sexual images shared without consent, because all digital images can be pornified by the addition of sexually explicit iconography. Pornography is important to research visually because porn is a sexual script that can be used to alter any image from everyday and/or intimate to abusive. The research field on nonconsensual sharing of intimate images has abolished the term ‘revenge porn’ as contributing to victim blaming: Image-based sexual abuse is not caused by any acts justifying ‘revenge’. However, the relevance of the concept of ‘porn’ may have been too hastily dismissed.
Verifiable Conjunctive Dynamic Searchable Symmetric Encryption With Forward and Backward Privacy
Authors: Lu Haitang , Chen Jie , Ning Jianting , Zhang Kai 
Published: July 2022

Abstract
Dynamic searchable symmetric encryption (DSSE) with forward and backward privacy makes it possible to perform search on the outsourced encrypted database efficiently while still allowing updates under acceptable leakage. Current forward and backward private DSSE (FB-DSSE) scheme proposed by Zuo et al. cannot support conjunctive keyword query and the cloud server needs to be honest-but-curious. Recent FB-DSSE scheme supporting conjunctive keyword query proposed by Patranabis et al. cannot verify search results. On the other hand, searchable symmetric encryption scheme proposed by Wang et al. that supports conjunctive keyword query and the verification of search results cannot achieve forward and backward privacy. The problem of constructing a verifiable conjunctive FB-DSSE scheme is still open. In this paper, we propose a verifiable conjunctive dynamic searchable symmetric encryption scheme (VCDSSE). VCDSSE is a FB-DSSE scheme that additionally supports the verification of search results and conjunctive keyword query. We revisit homomorphic MAC to enable efficient verification of search results, adopt the technique of oblivious cross-tags to achieve conjunctive keyword query and utilize state chain to ensure forward and backward privacy. The formal security analysis and performance evaluation demonstrate that VCDSSE is secure and practical as compared with Mitra scheme in terms of search time.
Tree height-growth trajectory estimation using uni-temporal UAV laser scanning data and deep learning
Authors: Puliti Stefano , McLean J Paul , Cattaneo Nicolas , Fischer Carolin , Astrup Rasmus 
Published: July 2022

Abstract
Information on tree height-growth dynamics is essential for optimizing forest management and wood procurement. Although methods to derive information on height-growth information from multi-temporal laser scanning data already exist, there is no method to derive such information from data acquired at a single point in time. Drone laser scanning data (unmanned aerial vehicles, UAV-LS) allows for the efficient collection of very dense point clouds, creating new opportunities to measure tree and branch architecture. In this study, we examine if it is possible to measure the vertical positions of branch whorls, which correspond to nodes, and thus can in turn be used to trace the height growth of individual trees. We propose a method to measure the vertical positions of whorls based on a single-acquisition of UAV-LS data coupled with deep-learning techniques. First, single-tree point clouds were converted into 2D image projections, and a YOLOv5 (you-only-look-once) convolutional neural network was trained to detect whorls based on a sample of manually annotated images. Second, the trained whorl detector was applied to a set of 39 trees that were destructively sampled after the UAV-LS data acquisition. The detected whorls were then used to estimate tree-, plot- and stand-level height-growth trajectories. The results indicated that 70 per cent (i.e. precision) of the measured whorls were correctly detected and that 63 per cent (i.e. recall) of the detected whorls were true whorls. These results translated into an overall root-mean-squared error and Bias of 8 and −5 cm for the estimated mean annual height increment. The method’s performance was consistent throughout the height of the trees and independent of tree size. As a use case, we demonstrate the possibility of developing a height-age curve, such as those that could be used for forecasting site productivity. Overall, this study provides proof of concept for new methods to analyse dense aerial point clouds based on image-based deep-learning techniques and demonstrates the potential for deriving useful analytics for forest management purposes at operationally-relevant spatial-scales.
Mechanism of the 2017Mw 6.3 Pasni earthquake and its significance for future major earthquakes in the eastern Makran
Authors: Yang Xiaodong , Qiu Qiang , Feng Wanpeng , Lin Jian , Zhang Jinchang , Zhou Zhiyuan , Zhang Fan 
Published: July 2022

SUMMARYMakran subduction zone is very active with ∼38 mm yr−1 convergence rate and has experienced great earthquakes in the past. The latest great earthquake of 1945 Mw 8.1 event also triggered a large tsunami and led to ∼4000 casualties. However, due to incomplete historical seismicity records and poor modern instrumentation, earthquake mechanism, co-seismic slip and tsunami characteristics in Makran remain unclear. On 2017 February 17, an Mw 6.3 earthquake rattled offshore Pasni of Pakistan in the eastern Makran, marking the largest event after the 1945 Mw 8.1 earthquake with good geodetic and geophysical data coverage. We use a combination of seismicity, multibeam bathymetry, seismic profile, InSAR measurements and tide-gauge observation to investigate the seismogenic structure, co-seismic deformation, tsunami characteristics of this event and its implication for future major earthquakes. Our results indicate that (1) the earthquake occurred on the shallow-dipping (3°–4°) megathrust; (2) the megathrust co-seismically slipped 15 cm and caused ∼2–4 cm ground subsidence and uplift at Pasni; (3) our tsunami modelling reproduces the observed 5-cm-high small tsunami waveforms. The Pasni earthquake rupture largely overlaps the 1945 slip patch and disturbs the west and east megathrust segments that have not ruptured yet at least since 1765. With such stress perturbation and possible stress evolution effect from the 1945 earthquake, the unruptured patches may fail in the future. This study calls for more preparedness in mitigating earthquake and associated hazards in the eastern Makran.
The incorrect use of CD75 as a synonym for ST6GAL1 has fostered the expansion of commercial “ST6GAL1” antibodies that do not recognize ST6GAL1
Authors: Haldar Barnita , Hwang Jihye , Narimatsu Yoshiki , Clausen Henrik , Bellis Susan L 
Published: July 2022

AbstractThe ST6GAL1 Golgi sialyltransferase is upregulated in many human malignancies, however, detection of ST6GAL1 protein in cancer tissues has been hindered by the prior lack of antibodies. Recently, numerous commercial antibodies for ST6GAL1 have become available, however, many of these do not, in fact, recognize ST6GAL1. Decades ago, the CD75 cell-surface epitope was mistakenly suggested to be the same molecule as ST6GAL1. While this was rapidly disproven, the use of CD75 as a synonym for ST6GAL1 has persisted, particularly by companies selling “ST6GAL1” antibodies. CD75 is reportedly a sialylated epitope which appears to encompass a range of glycan structures and glycan carriers. In this study, we evaluated the LN1 and ZB55 monoclonal antibodies, which are advertised as ST6GAL1 antibodies but were initially developed as CD75-recognizing antibodies (neither was raised against ST6GAL1 as the immunogen). Importantly, the LN1 and ZB55 antibodies have been widely used by investigators, as well as the Human Protein Atlas database, to characterize ST6GAL1 expression. Herein, we used cell and mouse models with controlled expression of ST6GAL1 to compare LN1 and ZB55 with an extensively validated polyclonal antibody to ST6GAL1. We find that LN1 and ZB55 do not recognize ST6GAL1, and furthermore, these 2 antibodies recognize different targets. Additionally, we utilized the well-validated ST6GAL1 antibody to determine that ST6GAL1 is overexpressed in bladder cancer, a finding that contradicts prior studies which employed LN1 to suggest ST6GAL1 is downregulated in bladder cancer. Collectively, our studies underscore the need for careful validation of antibodies purported to recognize ST6GAL1.
Have lower-income groups benefited more from increased government health insurance subsidies? Benefit incidence analysis in Ningxia, China
Authors: Hu Min , Mao Wenhui , Xu Ruyan , Chen Wen , Yip Winnie 
Published: July 2022

Abstract
China’s government subsidies on the demand side—such as subsidizing medical insurance premiums—have accelerated progress towards universal health coverage. We examined whether the increased government subsidies had benefited the population, especially the poor. We conducted two rounds of household surveys and collected the annual claims reports of a rural medical insurance scheme in Ningxia (a relatively underdeveloped region in Western China). We used benefit incidence analysis to evaluate the distribution of benefits for different health services received by individuals with different living standards, as measured by the household wealth index. From 2009 to 2015, the benefit received per capita tripled from 101 to 332 CNY, most (&gt;94%) of which was received for inpatient care. The overall distribution of benefits improved and became pro-poor in 2015 [the concentration index (CI) changed from −0.017 to −0.092], mainly driven by inpatient care. The poorer groups benefited disproportionately more from inpatient care from 2009 to 2015 (the CI changed from −0.013 to −0.093). County and higher-level inpatient care had the greatest improvements towards a pro-poor distribution. The distribution of subsidies for outpatient services significantly favoured the poorer groups in 2009, but less so in 2015 (CI changed from −0.093 to −0.068), and it became less pro-poor in village clinics (CI changed from −0.209 to −0.020). The increased government subsidies for the rural medical insurance scheme mainly contributed to inpatient care and allowed the poor to use more services at county and higher-level hospitals. China’s government subsidies on the demand side have contributed to equity in benefit incidence, yet there is a noticeable increasing trend in utilizing services at higher levels of providers. Our findings also indicate that outpatient services need more coverage from rural medical insurance schemes to improve equity.
Expert insights on digital contact tracing: interviews with contact tracing policy professionals in New Zealand
Authors: Chambers Tim , Egan Richard , Maclennan Karyn , Emery Tepora , Derrett Sarah 
Published: July 2022

Abstract
Digital contact tracing (DCT) is the application of digital tools to assist with identifying and informing close contacts of a COVID-19 case. DCT is a potential solution to capacity constraints of current manual contact tracing processes. Expert opinion from contact tracing professionals rarely informs public discourse on the benefits and limitations of DCT solutions. Three focus groups were undertaken in New Zealand to understand benefits and limitations of DCT solutions from contact tracing professionals. One was with the National Investigation and Tracing Centre (NITC) and two were with Public Health Units (PHUs). Participants highlighted four key themes including: (i) equity, (ii) privacy, (iii) communication and public perception and (iv) the operational model. Participants were concerned DCT solutions could exacerbate existing health inequities due to lack of access to, or familiarity with, technology. Poor communication and public understanding of DCT were seen as a major threat to both the efficacy of DCT solutions and the wider COVID-19 response. Most importantly, end-users were cautious of the operational model for DCT data that might: (i) attempt to replace manual processes that cannot or should not be automated by technology (case investigations, follow-ups); (ii) place undue burden on citizens and (iii) increase the workload for the current system beyond its capacity, for unproven or limited benefit. To be effective, contact tracing professionals believed DCT technologies must have strong privacy safeguards, a clear and simple communication strategy, interoperability with the existing contact tracing system and a foundation of health equity.