bluuebunny/crossref_metadata_2025 huggingface dataset:
Feasibility and Safety of Intraoperative Radiotherapy with Low Energy X-ray Photon Therapy for Recurrent Gynecological Cancer: A Case Series
Authors: Chen Hui-Hua , Hou Pei-Yu , Ting Wan-Hua , Shueng Pei-Wei , Hsiao Sheng-Mou
Published: May 2022

Objectives: To evaluate the feasibility and safety of low energy X-ray photon intraoperative radiotherapy (IORT) as an adjuvant therapy for recurrent gynecological cancer.Methods: Medical records of all recurrence gynecological cancer patients who underwent IORT were reviewed. Results: Between January 2018 and December 2021, five women (including cervical cancer (n = 2), endometrial cancer (n = 2), and uterine leiomyosarcoma (n = 1)), who underwent IORT and surgical resection for recurrent gynecologic cancer were reviewed. A median dose of 15.62 Gy (range, 12 to 20 Gy) was used for IORT. Repeated IORT and surgical resection was performed in two women. Three women experienced local recurrence, and three women died during follow-up. The 1-year local control rate was 60%. The 2-year overall survival rate was 30%. There was no Clavien–Dindo classification grade III–V complication. Conclusion: IORT using low energy X-ray photon therapy seems to be feasible and safe as an adjuvant therapy in women who underwent salvage surgery for recurrent gynecologic cancer. However, large-scale prospective studies are needed to confirm our findings and evaluate its efficacy.
Novel Detection Method for Circulating EGFR Tumor DNA Using Gravitationally Condensed Gold Nanoparticles and Catalytic Walker DNA
Authors: You Juneseok , Park Chanho , Jang Kuewhan , Park Jinsung , Na Sungsoo
Published: May 2022

The detection of circulating tumor DNA is a major challenge in liquid biopsies for cancer. Conventionally, quantitative polymerase chain reactions or next-generation sequencing are used to detect circulating tumor DNA; however, these techniques require significant expertise, and are expensive. Owing to the increasing demand for a simple diagnostic method and constant monitoring of cancer, a cost-effective detection technique that can be conducted by non-experts is required. The aim of this study was to detect the circulating tumor DNA containing the epidermal growth factor receptor (EGFR) exon 19 deletion, which frequently occurs in lung cancer. By applying walker DNA to a catalytic hairpin assembly and using the differential dispersibility of gold nanoparticles, we detected EGFR exon 19 deletion mutant #2 DNA associated with lung cancer. Our sensing platform exhibited a limit of detection of 38.5 aM and a selectivity of 0.1% for EGFR exon 19 wild-type DNA. Moreover, we tested and compared EGFR exon 19 deletion mutants #1 and #3 to evaluate the effect of base pair mismatches on the performance of the said technique.
Prediction of Bearing Capacity of the Square Concrete-Filled Steel Tube Columns: An Application of Metaheuristic-Based Neural Network Models
Authors: Sarir Payam , Armaghani Danial Jahed , Jiang Huanjun , Sabri Mohanad Muayad Sabri , He Biao , Ulrikh Dmitrii Vladimirovich
Published: May 2022

During design and construction of buildings, the employed materials can substantially impact the structures’ performance. In composite columns, the properties and performance of concrete and steel have a significant influence on the behavior of structure under various loading conditions. In this study, two metaheuristic algorithms, particle swarm optimization (PSO) and competitive imperialism algorithm (ICA), were combined with the artificial neural network (ANN) model to predict the bearing capacity of the square concrete-filled steel tube (SCFST) columns. To achieve this objective and investigate the performance of optimization algorithms on the ANN, one of the most extensive datasets of pure SCFST columns (with 149 data samples) was used in the modeling process. In-depth and detailed predictive modeling of metaheuristic-based models was conducted through several parametric investigations, and the optimum factors were designed. Furthermore, the capability of these hybrid models was assessed using robust statistical matrices. The results indicated that PSO is stronger than ICA in finding optimum weights and biases of ANN in predicting the bearing capacity of the SCFST columns. Therefore, each column and its bearing capacity can be well-predicted using the developed metaheuristic-based ANN model.
First-Principles Study on Possible Half-Metallic Ferrimagnetism in Double Perovskites Pb2XX′O6 (X = Ti, Zr, Hf, V, Nb and Ta, X′ = Tc, Ru, Os and Rh)
Authors: Chen Bo-Yu , Lee Po-Han , Wang Yin-Kuo
Published: May 2022

Pb-based double perovskite compounds with chemical formula Phey have abundant physical properties in the spintronic field. Among all the features, the spin interaction of half-metallic (HM) is regarded as an important performance measure because of its high potential in spintronic devices. In this research study, we calculate density of state (DOS) to investigate possible half-metal candidates by executing structural optimization based on the method of generalized gradient approximation (GGA) and strong correlation effect (GGA + U). Furthermore, following the earlier methods by calculating and comparing energy difference of various compounds with the four initial magnetic states: ferromagnetic, ferrimagnetic, antiferromagnetic and nonmagnetic, we can determine which magnetic state is more stable. Results indicate that there are 13 possible ferrimagnetic HM candidates in these combinations, including Pb2NbTcO6, Pb2TaTcO6, Pb2TiRuO6, Pb2ZrRuO6, Pb2HfRuO6, Pb2VRuO6, Pb2NbRuO6, Pb2TadRuO6, Pb2ZrOsO6, Pb2HfOsO6, Pb2VOsO6, Pb2ZrRhO6 and Pb2HfRhO6 under GGA and GGA + U schemes. The stability of analysis by analyzing the energy gap illustrates that all 13 possible candidates are half metals and ferrimagnetic states, so our studies could provide guidelines for scientists to fabricate new double perovskites in future.
First-Principle Calculation on Inelastic Electron Scattering in Diamond and Graphite
Authors: Yan Run-Qi , Cao Meng , Li Yong-Dong
Published: May 2022

In this work, we consider the inelastic scattering of incident electrons as a key process for analyzing the significant differences in secondary electron (SE) emission between diamond and graphite. Dielectric functions and energy- and momentum-dependent energy loss functions were obtained by first-principle calculations. These were then used to calculate the inelastic mean free path (IMFP) and stopping power in different directions. The results show that the properties of diamond are very close in different directions, and its IMFP is lower than that of graphite when the electron energy is higher than 30 eV. In graphite, the incident electrons may exhibit directional preferences in their motion. These results indicate that, in graphite, SEs are excited in deeper positions than in diamond, and more SEs move in a horizontal direction than in a vertical direction, which leads to the difference in secondary electron yield (SEY).
Impact of Drying Conditions on Antioxidant Activity of Red Clover (Trifolium pratense), Sweet Violet (Viola odorata) and Elderberry Flowers (Sambucus nigra)
Authors: Zawiślak Agnieszka , Francik Renata , Francik Sławomir , Knapczyk Adrian
Published: May 2022

Flowers of red clover (Trifolium pratense), sweet violet (Viola odorata) and elderflowers (Sambucus nigra) were dried by means of air drying at 30 °C and 50 °C and by freeze drying. The content of polyphenols was determined using the Folin–Ciocalteu reagent, while anthocyanins were quantified by the pH differential method. Antioxidant activities of aqueous and ethanolic extracts of the dried flowers were measured by the DPPH and ABTS assays, as well as FRAP and reducing power methods. The highest amount of polyphenols was determined in the ethanolic extracts of fresh red clover flowers (854.76 mg/100 g), while the highest concentration of anthocyanins was determined in the aqueous extracts of fresh sweet violet flowers (99.41 mg/100 g). The results showed that, in general, the extracts of red clover flower were characterized by the highest antioxidant activity, while the sweet violet extracts had the poorest antioxidant properties, although these values fluctuated depending on the method used. There was strong correlation between antioxidant activity and TPC (r = 0.9196, FRAP method). In most cases, freeze drying was found to be the best conservation method, retaining well the antioxidant properties of the tested flowers and the compounds determining these properties.
Overview on the Evaluation of the Elastic Properties of Non-Carbon Nanotubes by Theoretical Approaches
Authors: Antunes Jorge M. , Pereira André F. G. , Sakharova Nataliya A.
Published: May 2022

Low-dimensional structures, such as nanotubes, have been the focus of research interest for approximately three decades due to their potential for use in numerous applications in engineering and technology. In addition to extensive investigation of carbon nanotubes, those composed of elements other than carbon, the so-called non-carbon nanotubes, have also begun to be studied, since they can be more suitable for electronic and optical nano-devices than their carbon counterparts. As in the case of carbon nanotubes, theoretical (numerical and analytical) approaches have been established predominantly to study non-carbon nanotubes. So far, most of work has dealt with the investigation of the structural and electrical properties of non-carbon nanotubes, paying less attention to the evaluation of their mechanical properties. As the understanding of the mechanical behaviour of the constituents is fundamental to ensure the effective performance of nanotube-based devices, this overview aims to analyse and systematize the literature results on the elastic properties of inorganic non-carbon nanotubes.
Monkfish Peptides Mitigate High Fat Diet-Induced Hepatic Steatosis in Mice
Authors: Ye Jiena , Tian Xiaoxiao , Wang Qiongfen , Zheng Jiawen , Yang Yanzhuo , Xu Baogui , Zhang Shuai , Yuan Falei , Yang Zuisu
Published: May 2022

Non-alcoholic fatty liver disease (NAFLD) is a hepatic metabolic syndrome usually accompanied by fatty degeneration and functional impairment. The aim of the study was to determine whether monkfish peptides (LPs) could ameliorate high-fat diet (HFD)-induced NAFLD and its underlying mechanisms. NAFLD was induced in mice by giving them an HFD for eight weeks, after which LPs were administered in various dosages. In comparison to the HFD control group: body weight in the LP-treated groups decreased by 23–28%; triacylglycerol levels in the blood decreased by 16–35%; and low-density lipoproteins levels in the blood decreased by 23–51%. Additionally, we found that LPs elevated the activity of hepatic antioxidant enzymes and reduced the inflammatory reactions within fatty liver tissue. Investigating the effect on metabolic pathways, we found that in LP-treated mice: the levels of phospho-AMP-activated protein kinase (p-AMPK), and phospho-acetyl CoA carboxylase (p-ACC) in the AMP-activated protein kinase (AMPK) pathway were up-regulated and the levels of downstream sterol regulatory element-binding transcription factor 1 (SREBP-1) were down-regulated; lipid oxidation increased and free fatty acid (FFA) accumulation decreased (revealed by the increased carnitine palmitoyltransferase-1 (CPT-1) and the decreased fatty acid synthase (FASN) expression, respectively); the nuclear factor erythroid-2-related factor 2 (Nrf2) antioxidant pathway was activated; and the levels of heme oxygenase-1 (HO-1) and nicotinamide quinone oxidoreductase 1 (NQO1) were increased. Overall, all these findings demonstrated that LPs can improve the antioxidant capacity of liver to alleviate NAFLD progression mainly through modulating the AMPK and Nrf2 pathways, and thus it could be considered as an effective candidate in the treatment of human NAFLD.
Balenine, Imidazole Dipeptide Promotes Skeletal Muscle Regeneration by Regulating Phagocytosis Properties of Immune Cells
Authors: Yang Min , Sun Luchuanyang , Kawabata Yasunosuke , Murayama Fumihito , Maegawa Takahiro , Nikawa Takeshi , Hirasaka Katsuya
Published: May 2022

Balenine is one of the endogenous imidazole dipeptides derived from marine products. It is composed of beta-alanine and 3-methyl-L-histidine, which exist mainly in the muscles of marine organisms. The physiological functions of dietary balenine are not well-known. In this study, we investigated whether the supplementation of dietary balenine was associated with muscle function in a cardiotoxin-indued muscle degeneration/regeneration model. Through morphological observation, we found that the supplementation of balenine-enriched extract promoted the regeneration stage. In addition, the expression of regeneration-related myogenic marker genes, such as paired box protein 7, MyoD1, myogenin, and Myh3, in a group of mice fed a balenine-enriched extract diet was higher than that in a group fed a normal diet. Moreover, the supplementation of balenine-enriched extract promoted the expression of anti-inflammatory cytokines as well as pro-inflammatory cytokines at the degeneration stage. Interestingly, phagocytic activity in the balenine group was significantly higher than that in the control group in vitro. These results suggest that balenine may promote the progress of muscle regeneration by increasing the phagocytic activity of macrophages.
Epidemiologic Characteristics of Children with Diabetic Ketoacidosis Treated in a Pediatric Intensive Care Unit in a 10-Year-Period: Single Centre Experience in Croatia
Authors: Lah Tomulić Kristina , Matko Lucija , Verbić Arijan , Milardović Ana , Severinski Srećko , Kolić Ivana , Baraba Dekanić Kristina , Šerifi Senada , Butorac Ahel Ivona
Published: May 2022

Background and Objectives: The incidence of severe and moderate forms of DKA as the initial presentation of type 1 diabetes mellitus (T1D) is increasing, especially during the COVID-19 pandemic. This poses a higher risk of developing cerebral edema as a complication of diabetic ketoacidosis (DKA), as well as morbidity and mortality rates. The aim of this study was to determine the trend and clinical features of children treated in the last 10 years in the Pediatric Intensive Care Unit (PICU) due to the development of DKA. Materials and Methods: This retrospective study was performed in the PICU, Clinical Hospital Centre Rijeka, in Croatia. All children diagnosed with DKA from 2011–2020 were included in this study. Data were received from hospital medical documentation and patient paper history. The number of new cases and severity of DKA were identified and classified using recent International Society for Pediatric and Adolescent Diabetes (ISPAD) guidelines. Results: In this investigation period, 194 children with newly diagnosed T1D were admitted to our hospital: 58 of them were treated in the PICU due to DKA; 48 had newly diagnosed T1D (48/58); and ten previously diagnosed T1D (10/58). DKA as the initial presentation of T1D was diagnosed in 24.7% (48/194). Moderate or severe dehydration was present in 76% of the children at hospital admission. Polyuria, polydipsia, and Kussmaul breathing were the most common signs. Three patients (5.2%) developed cerebral edema, of whom one died. Conclusions: During the investigation period a rising trend in T1D was noted, especially in 2020. About one quarter of children with T1D presented with DKA at initial diagnosis in western Croatia, most of them with a severe form. Good education of the general population, along with the patients and families of children with diabetes, is crucial to prevent the development of DKA and thus reduce severe complications.
Contribution of CO2 Emissions from Basic Oxygen Steelmaking Process
Authors: Madhavan Nirmal , Brooks Geoffrey , Rhamdhani M. Akbar , Bordignon Adam
Published: May 2022

The steelmaking process is an energy-intensive multi-stage process, and the step involving the conversion of molten iron to steel, commonly performed in a basic oxygen furnace (BOF), makes an important contribution to greenhouse gas generation. The effective utilization of energy is one of the major challenges in the process, as minor variations of operational parameters can have significant negative effects on the converter in terms of CO2 emissions. A recent study published by the same authors analyzed the BOF process by developing a general mass and energy balance model. The present study utilizes these models to quantify the contribution of global warming potential (GWP) from the BOF and analyses its sensitivity with the parameters such as hot metal composition, the temperature of hot metal, tapping temperature, scrap quantity, and levels of post-combustion. The term GWP in this study refers to the quantified CO2 values obtained by summing up the carbon dioxide associated with the production of CaO associated with the mass of flux and carbon dioxide generated from the off-gas (considering C in hot metal is completely oxidized to CO2). The results from the analysis indicates that for a tapping temperature increase from 1650 °C to 1683 °C, the percentage change in the global warming potential (GWP) was found to be approximately 1%. The study identified that increasing the scrap percentage in the feed would be the most effective approach to effectively utilizing chemical energy from the process and reduce CO2 emissions. However, increasing scrap above 30% of the total feed is likely to raise issues around: (a) the presence of residual elements in scrap affecting the quality of liquid steel, (b) the effective utilization of post-combustion heat within the furnace, and (c) the recovery of off-gas heat for scrap preheating (assuming no steam recovery from the off-gas system). If these issues could be addressed at the industrial level, a significant reduction in CO2 emissions from the BOF process could be achieved.
A Visual Method of Measuring Railway-Track Weed Infestation Level
Authors: Skibicki Jacek Dominik , Licow Roksana
Published: May 2022

This paper concerns the assessment of railway track surface conditions in relation to the degree of weed infestation. The paper conceptually describes the proposed method using a visual system to analyse weed infestation level. The use of image analysis software for weed detection is also proposed. This new measurement method allows for a mobile assessment of the track’s weed infestation status. Validation of the assessment method in real conditions will allow for further expansion of the system using new shades of green from the RAL palette, and will take into account a more extensive and detailed assessment of weed infestation on the track in accordance with applicable railway regulations.
Off-State Performance Characterization of an AlGaN/GaN Device via Artificial Neural Networks
Authors: Chen Jing , Guo Yufeng , Zhang Jun , Liu Jianhua , Yao Qing , Yao Jiafei , Zhang Maolin , Li Man
Published: May 2022

Due to the complexity of the 2D coupling effects in AlGaN/GaN HEMTs, the characterization of a device’s off-state performance remains the main obstacle to exploring the device’s breakdown characteristics. To predict the off-state performance of AlGaN/GaN HEMTs with efficiency and veracity, an artificial neural network-based methodology is proposed in this paper. Given the structure parameters, the off-state current–voltage (I–V) curve can therefore be obtained along with the essential performance index, such as breakdown voltage (BV) and saturation leakage current, without any physics domain requirement. The trained neural network is verified by the good agreement between predictions and simulated data. The proposed tool can achieve a low average error of the off-state I–V curve prediction (Ave. Error < 5%) and consumes less than 0.001‰ of average computing time than in TCAD simulation. Meanwhile, the convergence issue of TCAD simulation is avoided using the proposed method.
COST Action PRIORITY: An EU Perspective on Micro- and Nanoplastics as Global Issues
Authors: Federici Stefania , Ademovic Zahida , Amorim Mónica J. B. , Bigalke Moritz , Cocca Mariacristina , Depero Laura Eleonora , Dutta Joydeep , Fritzsche Wolfgang , Hartmann Nanna B. , Kalčikova Gabriela , Keller Nicolas , Meisel Thomas C. , Mitrano Denise M. , Morrison Liam , Raquez Jean-Marie , Tubić Aleksandra , Velimirovic Milica
Published: May 2022

Plastic fragments, weathered into or released in the form of micro- and nanoplastics, are persistent and widespread in the environment, and it is anticipated that they have negative environmental impacts. This necessitates immediate efforts for management strategies throughout the entire plastics lifecycle. This opinion paper was initiated by the EU COST Action CA20101 PRIORITY, which focuses on the need to develop an effective global networking platform dealing with research, implementation, and consolidation of ways to address the worldwide challenges associated with micro- and nanoplastics pollution in the environment.
Religion and Help-Seeking: Theological Conservatism and Preferences for Mental Health Assistance
Authors: Moreno Ashley N. , Bartkowski John P. , Xu Xiaohe
Published: May 2022

Religious affiliation and attendance have been shown to affect various facets of mental health, including the willingness to seek mental health assistance; however, little is known about how theological beliefs influence people’s assessments of religious and secular mental health assistance options. Prior research using theological conservatism (beliefs about scripture, sin, and salvation) has conceptualized this perspective as being a schema in which the dimensions operate in tandem. Nonetheless, given the personalized nature of mental health, this study has conceptualized this perspective as three interrelated, but distinctly different dimensions of a religious belief system. Using data from the NORC General Social Survey’s (GSS) 2006 and 2018 waves (N = 2563), this study enlists a fruitful but underutilized approach to gauging perceptions of mental health assistance through the use of situational vignettes that prompt survey respondent appraisals of different sets of circumstances and various possible solutions. This study finds some support for the hypothesis that predicted theological conservatism would be associated with a more favorable view of religious support for mental health as opposed to secular sources of assistance; there was also considerable support for the hypothesis that the salvation dimension of this worldview would exhibit an influence apart from the scripture and sin dimensions. This investigation sheds light on an understudied facet of religion in relation to receptivity toward distinctive forms of mental health treatment and highlights potential directions for future research.
Monitoring Lightning Location Based on Deep Learning Combined with Multisource Spatial Data
Authors: Lu Mingyue , Zhang Yadong , Chen Min , Yu Manzhu , Wang Menglong
Published: May 2022

Lightning is an important cause of casualties, and of the interruption of power supply and distribution facilities. Monitoring lightning locations is essential in disaster prevention and mitigation. Although there are many ways to obtain lightning information, there are still substantial problems in intelligent lightning monitoring. Deep learning combined with weather radar data and land attribute data can lay the foundation for future monitoring of lightning locations. Therefore, based on the residual network, the Lightning Monitoring Residual Network (LM-ResNet) is proposed in this paper to monitor lightning location. Furthermore, comparisons with GoogLeNet and DenseNet were also conducted to evaluate the proposed model. The results show that the LM-ResNet model has significant potential in monitoring lightning locations. In this study, we converted the lightning monitoring problem into a binary classification problem and then obtained weather radar product data (including the plan position indicator (PPI), composite reflectance (CR), echo top (ET), vertical integral liquid water (VIL), and average radial velocity (V)) and land attribute data (including aspect, slope, land use, and NDVI) to establish a lightning feature dataset. During model training, the focal loss function was adopted as a loss function to address the constructed imbalanced lightning feature dataset. Moreover, we conducted stepwise sensitivity analysis and single factor sensitivity analysis. The results of stepwise sensitivity analysis show that the best performance can be achieved using all the data, followed by the combination of PPI, CR, ET, and VIL. The single factor sensitivity analysis results show that the ET radar product data are very important for the monitoring of lightning locations, and the NDVI land attribute data also make significant contributions.
Scaled Three-Term Conjugate Gradient Methods for Solving Monotone Equations with Application
Authors: Sabi’u Jamilu , Aremu Kazeem Olalekan , Althobaiti Ali , Shah Abdullah
Published: May 2022

In this paper, we derived a modified conjugate gradient (CG) parameter by adopting the Birgin and Marti´nez strategy using the descent three-term CG direction and the Newton direction. The proposed CG parameter is applied and suggests a robust algorithm for solving constrained monotone equations with an application to image restoration problems. The global convergence of this algorithm is established using some proper assumptions. Lastly, the numerical comparison with some existing algorithms shows that the proposed algorithm is a robust approach for solving large-scale systems of monotone equations. Additionally, the proposed CG parameter can be used to solve the symmetric system of nonlinear equations as well as other relevant classes of nonlinear equations.
Bias Adjustment of Four Satellite-Based Rainfall Products Using Ground-Based Measurements over Sudan
Authors: Siddig Magdi S. A. , Ibrahim Salma , Yu Qingchun , Abdalla Abdelmula , Osman Yahia , Atiem Isameldin Abakar , Hamukwaya Shindume Lomboleni , Taha Mazahir M. M.
Published: May 2022

Satellite-based rainfall estimates (SREs) represent a promising alternative dataset for climate and hydrological studies, where gauge observations are insufficient. However, these datasets are accompanied by significant uncertainties. Therefore, this study aims to minimize the systematic bias of Artificial Neural Networks–Cloud Classification System (PERSIANN-CCS), Artificial Neural Networks-Climate Data Record (PERSIANN-CDR), Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS), and Global Precipitation Climatology Project (GPCP) rainfall estimates using a quantile mapping (QM) method with climatic zones (CZs). The adjusted rainfall estimates were evaluated for the period from 2003–2017; data from 2003 to 2016 were used for calibration, and data from 2017 were used for validation. The results revealed significant improvements for the adjusted PERSIANN-CCS, PERSIANN-CDR, CHIRPS, and GPCP monthly time series in terms of all statistical measures and evaluation of overall CZs. In terms of Root Mean Square Errors (RMSEs), the adjusted CHIRPS did not show an improvement. This method successfully removed the mean bias of the daily time series for all SREs. The findings suggest that this method can be applied to correct the systematic bias of all SREs in the monthly time series in the future without the need for further gauge measurements over Sudan.
Концептуальный подход к математическому моделированию результатов диверсификации производства как направления перспективного стратегического развития
Authors:   Московский государственный технический университет имени Н.Э. Баумана, Агаларов Зураб Сардарович
Published: May 2022

В статье рассматривается диверсификация производства как направление перспективного стратегического развития предприятия/холдинда. Предложено моделировать и оценивать результаты диверсификации производства с помощью методов динамического программирования и теории графов. Задача состоит в поиске оптимального управления и оптимального состояния для каждого этапа, которые оптимальны для всего процесса в целом.
Формирование оптимальной структуры активов производственных предприятий по целям их собственников
Authors:   Российский государственный университет им. А.Н. Косыгина (Технологии. Дизайн. Искусство), Симонова Вера Алексеевна , Филатов Владимир Владимирович ,   Московский государственный университет пищевых производст, Положенцева Ирина Вениаминовна ,   Московский государственный университет технологий и управления им. К.Г. Разумовского, Долженков Сергей Сергеевич ,   МИРЭА - Российский технологический университет
Published: May 2022

В статье рассмотрен вопрос формирования оптимальной структуры активов производственных предприятий по целям их собственников. Предлагается оригинальный подход к оптимизации структуры активов предприятия по критерию максимизации их эффективности для собственников через показатель капитализации предприятия. Для взаимоувязывания показателей капитализации и прибыли от имеющихся активов производственных предприятий обрабатывающей промышленности авторами предлагается создать модель множественной регрессии, где независимой переменной является капитализация (прибыль), зависимыми – показатели конкретных активов. После нахождения вкладов (коэффициентов регрессии) каждого актива предлагается сформировать их структуру по принципу портфельного подхода, при котором показатель эффективности всех активов будет стремиться к максимуму и при этом будут учитываться специфические особенности предприятия в каждом конкретном случае [10].
Цифровая трансформация в контексте социально-экономического развития регионов: проблемы и перспективы
Authors:   Санкт-Петербургский университет технологий управления и экономики, Воронина Елена Владимировна , Михайлова Марина Владиславовна ,   Санкт-Петербургский государственный экономический университет,   Финансовый университет при правительства РФ, Санкт-Петербург, Юденко Марина Николаевна ,   Санкт-Петербургский государственный экономический университет
Published: May 2022

В статье обозначена цель исследования, состоящая в определении наиболее актуальных проблем цифровой трансформации на региональном уровне. Представлено краткое описание стратегий цифровой трансформации нескольких субъектов РФ, различающихся по уровню социально-экономического развития. Проведен сравнительный анализ регионов по шести обязательным направлениям цифровизации. Сделан вывод о необходимости создания соответствующей инфраструктуры, включающей новые модели взаимодействия бизнеса, научных организаций, органов власти и, как следствие, формирование высокого уровня доверия населения к надежности и безопасности цифровой инфраструктуры.
Теоретико-методические основы исследования туристской дестинации на примере Республики Татарстан
Authors:   Казанский национальный исследовательский технологический университет, Рагимханов Анатолий Велибекович , Жуковская Ирина Викторовна ,   Казанский национальный исследовательский технологический университет
Published: May 2022

В научной статье обобщены виды, этапы жизненного цикла и составляющие элементы туристской дестинации по методу Р. Проссера; дано авторское определение туристской дестинации. Произведена рейтинговая оценка показателя туристской дестинации Республики Татарстан на основе точек дислокации центров туристской дестинации.
Ensayos
Authors: Autores Varios
Published: May 2022

Durante los días miércoles 25 y jueves 26 de agosto del 2021, se realizó la décimo cuarta versión del Encuentro Departamental de Semilleros de Investigación de la Red Regional de Semilleros de Investigación -RREDSI, Nodo Quindío.

En esta nueva versión, la Universidad del Quindío lideró la organización de este tradicional encuentro departamental, el cual acogió, de manera virtual, a estudiantes de todas las instituciones de educación del Departamento, entre las que se encuentran las universidades Remington, La Gran Colombia Armenia, Alexander von Humboldt, Corporación Universitaria Unificada Nacional de Educación Superior, Antonio Nariño, Institución Universitaria EAM y el SENA.

Un total de 9 trabajos de investigación socializados en la modalidad de ensayos, las cuales fueron resultado de la interacción con comunidades y el sector productivo a partir de sus proyectos de semilleros de investigación.
Proportion of Hemodialysis Treatments with High Ultrafiltration Rate and the Association with Mortality
Authors: Navarrete José E. , Rajabalan Ajai , Cobb Jason , Lea Janice P.
Published: May 2022

Key Points

Episodes of hemodialysis (HD) with high ultrafiltration rates (>13 ml/kg per hour) occurred frequently in 1050 incident dialysis patients.

Younger age, diabetes, heart failure, higher albumin, being a man, shorter treatment time, and lower weight were associated with high UFR.

Increasing numbers of dialysis sessions with high ultrafiltration rates were associated with higher all-cause and cardiovascular mortality.

Background

Rapid fluid removal during hemodialysis has been associated with increased mortality. The limit of ultrafiltration rate (UFR) monitored by the Centers for Medicare & Medicaid Services is 13 ml/kg per hour. It is not clear if the proportion of treatments with high UFR is associated with higher mortality. We examined the association of proportion of dialysis treatments with high UFR and mortality in end stage kidney failure patients receiving hemodialysis.

Methods

This was a retrospective study of incident patients initiating hemodialysis between January 1, 2010, and December 31, 2019, at Emory dialysis centers. The proportion of treatments with high UFR (>13 ml/kg per hour) per patient was calculated using data from the initial 3 months of dialysis therapy. Patients were categorized on the basis of quartiles of proportion of dialysis sessions with high UFR. Risk of death and survival probabilities were calculated and compared for all quartiles.

Results

Of 1050 patients eligible, the median age was 59 years, 56% were men, and 91% were Black. The median UFR was 6.5 ml/kg per hour, and the proportion of sessions with high UFR was 5%. Thirty-one percent of patients never experienced high UFR. Being a man, younger age, shorter duration of hemodialysis sessions, lower weight, diabetic status, higher albumin, and history of heart failure were associated with a higher proportion of sessions with high UFR. Patients in the higher quartile (26% dialysis with high UFR, average UFR 9.8 ml/kg per hour, median survival of 5.6 years) had a higher risk of death (adjusted hazard ratio 1.54; 95% CI, 1.13 to 2.10) compared with those in the lower quartile (0% dialysis with high UFR, average UFR 4.7 ml/kg per hour, median survival 8.8 years).

Conclusions

Patients on hemodialysis who did not experience frequent episodes of elevated UFR during the first 3 months of their dialysis tenure had a significantly lower risk of death compared with patients with frequent episodes of high UFR.
Exacerbation of Racial Disparities in Living Donor Kidney Transplantation During the COVID-19 Pandemic
Authors: Singh Neeraj , Li Ruixin , Alhamad Tarek , Schnitzler Mark A. , Mannon Roslyn B. , Doshi Mona D. , Woodside Kenneth J. , Hippen Benjamin E. , Cooper Matthew , Snyder Jon , Axelrod David A. , Lentine Krista L.
Published: May 2022

Key Points

The coronavirus disease 2019 (COVID-19) pandemic profoundly impacted transplant services, with a particularly strong impact on living donor kidney transplantation.

The COVID-19 pandemic appears to have disproportionately impacted Black patients’ access to living donor kidney transplantation.

As the pandemic evolves through surges and vaccine acceptance disparities persist, ongoing attention to transplant disparities is needed.
Virtualna stvarnost – Novi pristup vizualizacije i imaginacije vizualizaciji i imaginaciji u vjeronauku
Authors: Pišonić Klara
Published: May 2022

Posebnost virtualne stvarnosti (VR) je visoka razina imerzivnosti i osjećaj „uranjanja” u drugi svijet. Ta se posebnost već koristi u mnogim tehničkim i znanstvenim područjima za vizualizaciju, učenje i vježbanje. Brz tehnički napredak omogućuje stvaranje sve mnogobrojnijih i boljih mogućnosti u virtualnoj stvarnosti. Mogućnosti uporabe se šire i izvan tehničkih područja. Društvene znanosti poput teologije također mogu imati koristi od dojmljivih svojstva VR-a.Slijedi kratko predstavljanje projekta Katedre za vjersko obrazovanje i medijsku didaktiku na Goethe-Universität u Frankfurtu za poboljšanje i primjenu VR-a u vjeronauku. Uz svrstavanje u teoriji učenja, članak još uvodi oblike interakcije VR-a i pokazuje mogućnosti njihove uporabe u vjeronauku.Poznato je da vjeronauk kao školski predmet ima vrlo osobnu i emocionalnu komponentu. To se može pojačati VR-om na određenim razinama: promjena perspektive, etičke rasprave, posjet povijesnim mjestima, ali i pedagogija crkvenog prostora može se proširiti novim dimenzijama. Kad se bavimo VR-om u vjeronauku, glavni cilj nije zamjena starih metoda, već pokazati mogućnost da digitalni mediji mogu pridonijeti interesu i proširiti iskustvo.
Experiencias en la creación de nuevos espacios. Una escritura colectiva
Authors: Aliaga Dolores , Denise Lopez Micaela , Manolakis Florencia Sofía , Vizzolini Lucas
Published: May 2022

El presente artículo comparte la particular experiencia de lo que implicó cursar una formación en territorio durante el primer cuatrimestre de 2020. En él, quienes transitamos “Repensar las infancias desde el territorio”, una propuesta del Espacio de Niñez del CIDAC llevada a cabo en la Facultad de Filosofía y Letras de la UBA, indagamos sobre los alcances y las limitaciones de los entramados colectivos al verse afectada la presencialidad y, en consecuencia, no pudiendo tener contacto físico con el territorio.
Biobutanol as an Alternative and Sustainable Fuel: A Literature Review
Authors: Ana Carolina Araújo dos Santos  , Ana Caroline Sobral Loureiro  , Ana Lúcia Barbosa de Souza  , Natália Barbosa da Silva  , Reinaldo Coelho Mirre  , Fernando Luiz Pellegrini Pessoa
Published: May 2022

We need investiments in cleaner, renewable and sustainable energy sources to meet global fuel demand. Biobutanol is produced by the biotechnological route, by the ABE fermentation process. Biobutanol as a biofuel has gasoline-like properties, and its energy efficiency is 25% higher than ethanol. The objective of this work was to conduct a literature review on the production of biobutanol and to collect data on the market of this biofuel to understand the challenges involved in the production of biobutanol. We did the systematic review using the inclusion method. We analyzed the biobutanol world scenario and its applicability in Brazil as a solvent in industries.
Risk Analysis and Indentification of Environmental Impacts Associated with Hydraulic Fracturing in Shale Gas Production
Authors: Caio Tadeu Veloso Gargur  , Gabriel de Veiga Cabral Malgaresi  , Lilian Lefol Nani Guarieiro  , Reinaldo Coelho Mirre
Published: May 2022

The production of shale gas in Brazil has great potential to meet the country's energy needs. This process uses hydraulic fracturing, which is a good stimulation method, that induces fractures in the reservoir rock by injecting a fracturing fluid into it. Therefore, it permits increasing the permeability around the well, and the well's productivity index. It is crucial to understand the operation and the factors influencing the process to mitigate the risks involved in hydraulic fracturing. This work aims to identify and analyze the possible failure modes and their risks through risk analysis methods [Failure Modes and Effects Analysis (FMEA), and Fault-Tree Analysis (FTA)], in addition to connecting them to environmental impacts. We expected that this integrated method would support the safe monitoring of the technique in the future.
Treatment of Oily Effluents Through the Combination of Flotation and Wetland in Thermal Plants Under the Focus of Patent Documents: A Prospective Study
Authors: Barbara Lima Borges  , Edna dos Santos Almeida  , Valdemir Alexandre dos Santos
Published: May 2022

This study aimed to present a technological search for technologies in the processing of oily effluents through the physical-chemical flotation and biological wetland process generated in thermoelectric plants in the patent database of the Derwent World Patents Index (DWPI) using keywords. We found few studies for thermal power plant-effluent processing technologies and combined technologies for flotation and wetland effluent treatment. Patents indicated high efficiency in the combination of the processes. We did not find studies in Brazil for treatment technologies of effluents in thermoelectric plants. However, due to the country's energy scenario, investments in research in this area are recommended.
A Brief Overview of Ammonia and Urea Production and Their Simulations Strategies
Authors: Artur Santos Bispo  , Fernando Luiz Pellegrini Pessoa  , Ana Lucia Barbosa de Souza
Published: May 2022

To engender a simulation of the integrated Ammonia - Urea process, a literature review was carried out about these industrial processes, focusing on extracting information from the literature, such as the types of processes and their description, thermo-physical-chemical properties, and thermodynamic and kinetic models related to the process. Furthermore, research was carried out on thermodynamic models for NH3-CO2-H2O systems, capable of describing an integrated Ammonia-Urea plant.
Study of Measurement Systems for Determination of Polycyclic Aromatic Hydrocarbons in Vehicle Environmental Samples
Authors: Juliana Carla Santos da Silva  , Lilian Lefol Nani Guarieiro  , Valéria Loureiro da Silva
Published: May 2022

Polycyclic aromatic hydrocarbons (PAHs) are organic compounds with two or more aromatic rings. Their emission sources are anthropogenic, such as burning fossil fuels in vehicles. Due to their properties, these compounds are toxic in nature and have potential carcinogens, requiring attention to their detection in the environment. Several studies have already been conducted for construction-detection systems, nevertheless, the methods are expensive and complex. The objective of this work was to identify these measurement possibilities already used to propose a new, simpler, and cheaper system for determining PAHs. So, we carried out a literature review survey to build the necessary theoretical foundation for the proposed system development.
A gestão democrática no Plano de Desenvolvimento Institucional dos Institutos Federais
Authors: Silva Silvani da , Ribeiro Eduardo Augusto Werneck
Published: May 2022

Este trabalho tem como objetivo apresentar uma metodologia inovadora em pesquisa qualitativa utilizada numa pesquisa de pós-graduação em Educação Profissional e Tecnológica. Identificamos a apropriação do termo “gestão democrática” nos Planos de Desenvolvimento Institucionais (PDI) dos Institutos Federais da Rede Federal de Educação Profissional, Científica e Tecnológica do Brasil, a partir de duas premissas: a primeira supõe que em uma instituição criada 20 anos após a Constituição Federal de 1988, o conceito de “gestão democrática” é exercido em sua totalidade e está presente em seu principal documento de planejamento institucional; a segunda é a de que o conceito traz a semântica diretamente relacionada com a dimensão política e pedagógica da gestão escolar, reforçando o tripé ensino, pesquisa e extensão. Tudo isso é resultado de uma instituição educacional comprometida com a formação cidadã e voltada para o mundo do trabalho. Para esta análise, utilizou-se o software IRaMuTeQ como ferramenta de apoio na análise de textos. Avaliou-se, também, a usabilidade da ferramenta para esta tarefa. Este estudo analisou os PDI de 38 Institutos Federais, publicados entre 2014 e 2020 em seus respectivos sites institucionais. A partir das técnicas de Classificação Hierárquica Descendente (CHD), Análise de Similitude e Análise Fatorial por Correspondência (AFC), buscou-se entender como o conceito gestão democrática está materializado e quais são as conexões lexicais nos documentos. Concluiu-se que os PDI são documentos importantes e refletem o entendimento da instituição a cerca do conceito de gestão democrática. As premissas se mostraram parcialmente verdadeiras. Quando foram analisadas as conexões lexicais, o conceito de gestão democrática se mostrou insipiente ou ainda desconectado de outros conceitos com os quais esperava-se dialogar. Esse resultado fomenta a necessidade de novas análises para compreender melhor o fenômeno. Também se confirmou, neste trabalho, o potencial de uso dos recursos técnicos do IRaMuTeQ como ferramenta metodológica em pesquisas qualitativas.
Antinociceptive evaluation of the aqueous bark extract of Zanthoxylum zanthoxyloides (Lam.) Zepern. and Timler (Rutaceae) on albino wistar rats
Authors: Tougoma Atèhèzi , S. Atchrimi Komi , Dénou Adama , V. Idah Oto-Obong , U. Egesie Gideon , O. Odeh Samuel
Published: May 2022

Objectives: This study aimed to investigate the phytochemistry and the analgesic activity of the aqueous bark extract of Zanthoxylum zanthoxyloides (AZZ) on albino Wistar rats. Methodology and Results: Phytochemical screening was done using colorimetric reactions and precipitations. Writhing, glutamate, and hot plate tests were used for antinociceptive assessment. The animals were given the extract (400 and 800 mg/kg) and standard drugs, orally. The phytochemical screening has revealed chemical components like alkaloids and flavonoids. The extract displayed significant antinociceptive activity (p < 0.05). At 400 and 800 mg/kg, the extract reduced the writhing by 33.51% and 54.74% respectively. Licking reduction was observed after 15 and 20 minutes of glutamate injection in groups that received extract at 800 and 400 mg/kg, respectively. For the hot plate test, the extract effect was obtained from the 30th to the 90th minutes. Conclusions and application of findings: This study finding corroborates the traditional use of Zanthoxylum zanthoxyloides species. This activity may be due to the presence of some chemical groups confirmed by the phytochemical screening such as flavonoids and alkaloids. The mechanism for the antinociceptive activity could be due to the inhibition of the synthesis of some inflammatory mediators such as prostaglandins and nitric oxide (NO). The plant Z. zanthoxyloides, particularly its bark, could be a potent source for the development of new analgesic drugs. Further researches about the safety and characterization of its effective ingredient are needed. Keywords: Albino Wistar rats, Zanthoxylum zanthoxyloides, bark, folk medicine, antinociceptive. 16495 Tougoma et al., J. Appl. Biosci. Vol.160:2021 Antinociceptive evaluation of the aqueous bark extract of Zanthoxylum zanthoxyloides (Lam.) Zepern. and Timler (Rutaceae) on albino wistar rats
Medical Image Retrieval using Two Dimensional PCA
Authors:   Ph.D. Research Scholar, ECE Dept.,Vels Institute of Science, Technology and Advanced Studies (VISTAS), Chennai, India., Reddy. K* Srinivasa , T Jaya. ,   Assistant Professor , ECE Dept.,Vels Institute of Science, Technology and Advanced Studies (VISTAS), Chennai, India.
Published: May 2022

Medical image analysis will be used to develop image retrieval system to provide access to image databases using extracted features. Content Based Image Retrieval (CBIR) is used for retrieving similar images from image databases. During the last few years, medical images are grown and used for medical image analysis. Here, we are proposed that medical image retrieval using two dimensional Principal Component Analysis (2DPCA). For extracting medical image features, 2DPCA has advantageous that evaluates accurate covariance matrix easily as much smaller and also requires less time for finding Eigen vectors. Medical image reconstruction is performed with increased values of 2DPCA and observed from results that reconstruction accuracy improves with increase of principal component values. Retrieval is performed for transformed image space by calculating the Euclidean Distance(ED) between 2DPCA values of unknown images with database images. Minimum distance classifier is used for retrieval, which is simple classifier. Simulation results are reported by considering different medical images and showed that simulation results provide increased retrieval accuracy. Further, Segmentation of retrieved medical images is obtained using k-means clustering algorithm.