bluuebunny/crossref_metadata_2025_split huggingface dataset:
Shallot Blondin variety as a source material for breeding for early maturity, keeping quality, productivity and yield
Authors: Novikova L. N. , Novikov B. N. 
Published: June 2021

Relevance. Shallots (Allium ascalonicum L.) is a very useful and promising crop with high nutrition- al, taste and medicinal properties. Shallot is appreciated for its tender and juicy tasty greens, as well as early ripening of bulbs with a long shelf life. For widespread distribution and consumption, increasing demand and popularizing this culture, it is relevant to create new promising varieties with valuable economically useful characteristics that meet modern market requirements. When creating new varieties, it is important to search for sources of early maturity, keeping quality, productivity, yield and quality.The aim of the research was to study local varieties of shallots for a complex of valuable traits, select the best forms and create a new fruitful, white early-ripening white variety of the salad direction, possessing useful properties, good keeping quality of bulbs, resistant to unfavorable environmental factors for cultivation in the regions of the European part of Russia.Materials and methods. The initial material consisted of 18 varieties of the local population from the North Caucasian group, differing in morphometric, in particular the color of the bulb (yellow to white), biological and economic characteristics. The studies were carried out at the collection site of the Krymsk EBS, VIR Branch (Krasnodar Region, Krymsk). As a standard, we used two varieties included in the State Register with the color of the bulb from yellow (Off-season) to white (Snezhok).Results. The study of phenological, biological, morphometric and economic characteristics made it possible to select five promising forms that are valuable for the consumer: those with early maturity, productivity, light color, large long-term bulb, green feather productivity, winter hardiness and good taste. The best form – LSh 5-05, with a consistently high yield, long-term keeping quality of white bulbs, marketability, good mild taste and attractive appearance, is included in the State Register of the Russian Federation for admission to use as a shallot Blondin variety.
Genetic sources of resistance to root rots chicory
Authors: Polyanina T. Yu. , Smirnova I. V. , Vyutnova O. M. , Evseeva E. A. , Ratnikova N. A. , Novikova I. A. 
Published: June 2021

Relevance. One of the significant problems in the technology of obtaining root chicory is the protection of root vegetables from the defeat of root rots. The most common lesions of root vegetables chicory various pathogenic species of fungi causing phomosis (Phoma rostrupii Sacc.), gray rot (Botrytis cinerea (R.) Fr.J), wet bacterial rot (Erwinia carotovora (Jones) Holt.). An important place in solving this problem is the breeding of new varieties that are resistant to major diseases and adapted to the conditions of cultivation in the soil-climatic conditions of the chicory-seeding zone. This requires, first of all, to determine the range of donor varieties of the sign of resistance to root rots, both during the growing of culture, and during long-term storage.Material and methods. In 2018-2020, studies were carried out to assess gene sources of different ecological and geographical origin (including against a provocative background) in the Non-Black Earth Zone of the Russian Federation and to isolate donors of resistance to root rot from them. Research on the Rostov Vegetable experimental station on chicory.Results. Studies have shown that the defeat of root vegetables chicory root rots genetic sources were very different from each other, so Harpachi, Luxor did not affect the. root rots neither on the usual nor on provocative backgrounds.
Right Cerebellar Tuberculosis with Cranial Nerve Palsy in Pulmonary Tuberculosis Patient
Authors: Yandi I Komang Rusgi , Marhana Isnin Anang 
Published: June 2021

Introduction: Tuberculosis (TB) is a major public health issue. The most devastating clinical manifestations of TB is Central nervous system (CNS) TB. CNS TB is found approximately in 1% of all patients with active TB, and cerebellar TB is rarely reported. CNS TB can present as meningitis, arachnoiditis, tuberculomas, or the uncommon forms of tuberculous subdural empyema and brain abscess.Case: A 23-year-old patient was reported in October 2018 with signs and symptoms of 2-month history of vertigo, headache, vomiting, weakness, fever, blurred vision, lingual palsy, dysmetria, and decrease of consciousness. The patient had a few months of history of cough, contact with a TB patient, his father, and loss of body weight. On admission, the patient had fever (38.50 C) and Glasgow coma score of 13.Discussion: CNS TB can occur in an immunocompromised patient with malnutrition, whether a child or young adult. The patient in this case had risk factors because he is a young adult and had contact with a patient of TB, his father. Based on epidemiology, clinical signs and symptoms, radiological findings, and the result of AFB-stained sputum, the patient was diagnosed with right cerebellar TB and PTB.Conclusion: The high morbidity and mortality characteristics of CNS TB are very important to note, thus the prompt diagnosis and therapy should be done. The specific therapy of ATD combined with surgery seems to provide a good result. The clinical and radiological findings were used as the evaluation of the medication.
Posttraumatic Stress Disorder symptoms in persons involved in road accidents and paramedics
Authors: Parobkiewicz Aleksandra , Ziarko Michał , Krawczyk Julia , Jasielska Jagna 
Published: June 2021

Aim. The aim of the study was to assess the risk of posttraumatic stress disorder (PTSD) among persons involved in road accidents and paramedics. Little is known about similarity or difference of PTSD symptoms between these two groups involved in accident in voluntary and involuntary way. Material and Methods. Persons involved in road accidents (N = 78) and paramedics (N = 106) completed the Polish version of the Impact of Event Scale–Revised.Results. The percentage of those who reported PTSD symptoms was similar and insignificant among persons involved in road accidents (56%) and among paramedics (45%). A significant difference (p < 0,01) was observed between these groups, however. The total PTSD, intrusions, and avoidance were higher for persons involved in road accidents.Conclusions. Victims, perpetrators, and helpers in road accidents were at a similar risk of PTSD. Peritraumatic interventions are recommended for all these groups.
Problematika Guru dalam Mengajar Materi Aljabar di Era Pandemik Coronavirus Disease 2019 (Covid-19)
Authors: Afifaturrohmaniyyah Nur , Malasari Putri Nur 
Published: June 2021

<p class="06IsiAbstrak">Keharusan dalam pelaksanaan pembelajaran <em>online</em> yang disebabkan oleh pandemik Covid-19 menimbulkan munculnya masalah-masalah dalam pembelajaran matematika khususnya materi aljabar. Penelitian ini bertujuan untuk mengetahui problematika yang dihadapi guru dalam mengajarkan materi aljabar di era pandemik Covid-19. Metode penelitian menggunakan penelitian kualitatif deskriptif. Sumber data berasal dari tujuh guru matematika Sekolah Menengah Pertama (SMP) di Kudus dan Tangerang yang memberikan jawaban atas pertanyaan dalam google form. Hasil penelitian ini menunjukkan problematika yang dialami guru dalam mengajar materi aljabar di era pandemik Covid-19 adalah keterbatasan alat penunjang pembelajaran sehingga guru sulit menerangkan penerapan operasi hitung aljabar, soal aplikasi aljabar, dan menyederhanakan bentuk aljabar secara <em>online</em>. Terbatasnya ruang dan waktu, jaringan internet yang tidak stabil serta kuota yang tidak memadai mengakibatkan interaksi antara guru dan siswa tidak dapat optimal dilakukan.</p><p class="06IsiAbstrak"> </p><p class="06IsiAbstrak"><span lang="IN">The necessity of implementing online learning caused by the Covid-19 pandemic has created problems in learning mathematics, especially algebraic material. This study aims to find out the problems faced by teachers in teaching algebra material in the Covid-19 pandemic era. The research method uses descriptive qualitative research. Sources of data came from seven junior high school mathematics teachers (SMP) in Kudus and Tangerang who provided answers to questions in the google form. The results of this study indicate that the problems experienced by teachers in teaching algebra material in the Covid-19 pandemic era are the limitations of learning support tools so that teachers find it difficult to explain the application of algebraic arithmetic operations, algebra application questions, and simplify algebraic forms online. Limited space and time, unstable internet networks, and inadequate quotas have resulted in the interaction between teachers and students not being optimal.</span></p>
Disease-Specific Excess Mortality During the COVID-19 Pandemic: An Analysis of Weekly US Death Data for 2020
Authors: Zhu Dongshan , Ozaki Akihiko , Virani Salim S. 
Published: June 2021

Objectives. To examine the disease-specific excess deaths during the COVID-19 pandemic in the United States. Methods. We used weekly death data from the National Center for Health Statistics to analyze the trajectories of excess deaths from specific diseases in the United States during the COVID-19 pandemic, at the national level and in 4 states, from the first to 52nd week of 2020. We used the average weekly number of deaths in the previous 6 years (2014–2019) as baseline. Results. Compared with the same week at baseline, the trajectory of number of excess deaths from cardiovascular disease (CVD) was highly parallel to the trajectory of the number of excess deaths related to COVID-19. The number of excess deaths from diabetes mellitus, influenza and respiratory diseases, and malignant neoplasms remained relatively stable over time. Conclusions. The parallel trajectory of excess mortality from CVD and COVID-19 over time reflects the fact that essential health services for noncommunicable diseases were reduced or disrupted during the COVID-19 pandemic, and the severer the pandemic, the heavier the impact.
An Analytical Model for Fracture Initiation of Radial Drilling-Fracturing in
Shale Formations
Authors: Chen Yuxin , Ding Yunhong , Liang Chong , Bai Yu , Zhu Dawei , Zou Chunmei 
Published: June 2021

Abstract
Radial drilling-fracturing, the combination of radial drilling and hydraulic fracturing, can guide fractures toward the target area and effectively enhance the recovery of the low permeable reservoir. In this paper, based on the stress superposition principle, we establish an analytical model to predict fracture initiation pressure (FIP) and the shale failure mode for radial drilling-fracturing applied in shale formations. In contrast with the former studies, this model can additionally consider the failure from shale beddings and is more applicable in the shale reservoir. The model classifies the shale failure into three modes and, respectively, gives the criterion for each failure mode. Then, a series of sensitivity analyses is conducted by examining effects of various parameters. By analyzing the variation characteristic of the initiation pressures required for three failure modes, the main conclusions are as follows. Firstly, matrix failure and shear failure along bedding tend to take place when the azimuth of radial borehole is moderate. Small and large azimuths are favorable for the occurrence of tensile failure along bedding. Secondly, a high ratio of horizontal in situ stress predisposes shale to generate matrix failure, and bedding tensile failure and bedding shear failure are apt to occur when the ratio of horizontal in situ stress is low. Thirdly, with the increasing intersection angle of the radial borehole wall and bedding plane, the failure mode apt to occur changes from bedding tensile failure to bedding shear failure and then to matrix failure. Fourthly, shale prefers to yield bedding shear failure under a small Biot coefficient and generate the other two failure modes when Biot coefficient is large. Fifthly, permeability coefficient virtually has no influence on the failure mode of shale. The research clarifies the fracture initiation characteristics of radial drilling-fracturing in shale formations and provides a reference for the field application of radial drilling-fracturing.
The Effects of Inlet Flow Rates and Slenderness Ratio on the Separation Performance of a Horizontal Three-Phase Separator
Authors: Ahmed T. G. , Russell P. A. , Makwashi N. , Hamad F. , Gooneratne S. 
Published: June 2021

Summary
In the first part of this work, the development of a capital cost optimization model for sizing three-phase separators was described. The developed model uses generalized reduced gradient nonlinear algorithms to determine the minimum cost associated with the construction of horizontal separators subject to four sets of constraints. In the second part, an experimental test rig was designed and used to investigate the effect of gas flow rate, liquid flow rate, and slenderness ratio (L/D) on the separation performance of horizontal three-phase separators. The results indicated an inverse relationship between an increase in gas and liquid flow rate and the separator outlet quality. It also indicated a direct relationship between an increase in slenderness ratio and separator outlet quality. The results also showed that the gradient change of the percentage of water in the oil outlet with respect to slenderness ratio decreased to ratios of 6:1. Hence, the separation rate increased. At ratios greater than 6:1, the separation still increases, but the gradient change in separation drops off, implying that the benefit in terms of separation is diminishing beyond this point. Therefore, the optimal slenderness ratio for technical reasons is 6:1.
Estimating remaining carbon budgets using temperature responses informed by CMIP6
Authors: Rypdal Martin , Boers Niklas , Fredriksen Hege-Beate , Eiselt Kai-Uwe , Johansen Andreas , Martinsen Andreas , Mentzoni Endre Falck , Graversen Rune , Rypdal Kristoffer 
Published: June 2021

Abstract
A remaining carbon budget (RCB) estimates how much CO2 we can emit and still reach a specific temperature target. The RCB concept is attractive since it easily communicates to the public and policymakers, but RCBs are also subject to uncertainties. The expected warming levels for a given carbon budget has a wide uncertainty range, which increases with less ambitious targets, i.e., with higher CO2 emissions and temperatures. Leading causes of RCB uncertainty are the future non-CO2 emissions, Earth system feedbacks, and the spread in the climate sensitivity among climate models. The latter is investigated in this paper, using a simple carbon cycle model and emulators of the temperature responses of the Earth System Models in the Coupled Model Intercomparison Project Phase 6 (CMIP6) ensemble. Driving 41 CMIP6 emulators with 127 different emission scenarios for the 21st century, we find almost perfect linear relationship between maximum global surface air temperature and cumulative carbon emissions, allowing unambiguous estimates of RCB for each CMIP6 model. The range of these estimates over the model ensemble is a measure of the uncertainty in the RCB arising from the range in climate sensitivity over this ensemble, and it is suggested that observational constraints imposed on the transient climate response in the model ensemble can reduce uncertainty in RCB estimates.
Exposure To Lead-Free Frangible Firing Emissions Containing Copper And Ultrafine Particulates Leads To Increased Oxidative Stress In Firing Range Instructors
Authors: McNeilly Ryan J , Schwanekamp Jennifer A , Hyder Logan S , Hatch John P , Edwards Brett T , Kirsh Jacob A , Jackson Jerimiah M , Methner Mark M , Duran Christin M 
Published: June 2021

Abstract
Background: Since the introduction of copper based, lead-free frangible (LFF) ammunition to Air Force small arms firing ranges, instructors have reported symptoms including chest tightness, respiratory irritation, and metallic taste. These symptoms have been reported despite measurements determining that instructor exposure does not exceed established occupational exposure limits (OELs). The disconnect between reported symptoms and exposure limits may be due to a limited understanding of LFF firing byproducts and subsequent health effects. A comprehensive characterization of exposure to instructors was completed, including ventilation system evaluation, personal monitoring, symptom tracking, and biomarker analysis, at both a partially enclosed and fully enclosed range. Results: Instructors reported symptoms more frequently after M4 rifle classes compared to classes firing only the M9 pistol. Ventilation measurements demonstrated that airflow velocities at the firing line were highly variable and often outside established standards at both ranges. Personal breathing zone air monitoring showed exposure to carbon monoxide, ultrafine particulate, and metals. In general, exposure to instructors was higher at the partially enclosed range compared to the fully enclosed range. Copper measured in the breathing zone of instructors, on rare occasions, approached OELs for copper fume (0.1 mg/m³). Peak carbon monoxide concentrations were 4-5 times higher at the partially enclosed range compared to the enclosed range and occasionally exceeded the ceiling limit (125 ppm). Biological monitoring showed that lung function was maintained in instructors despite respiratory symptoms. However, urinary oxidative stress biomarkers and urinary copper measurements were increased in instructors compared to control groups.Conclusions: Consistent with prior work, this study demonstrates that symptoms still occurred despite exposures below OELs. Routine monitoring of symptoms, urinary metals, and oxidative stress biomarkers can help identify instructors who are particularly affected by exposures. These results can assist in assigning alternative work to reduce exposure and protect instructor health. Further, a longitudinal study is needed to determine the long-term health consequences of LFF firing emissions exposure.
The concept of creating thrust based on angular momentum change
Authors: Kupreev Sergei , Razoumny Yury 
Published: June 2021

Abstract
The change in the kinetic moment of a material body is considered regarding to classical and quantum mechanics. The possibility of creating the propulsion system in terms of energy efficiency exceeding the photon engine has been theoretically proved. The proposed new principle of motion is based on the law of conservation of angular momentum and is fully consistent with the basic fundamental laws of physics. It is proposed to use the radiation/absorption of streams of low-energy particles with spin in the direction perpendicular to the movement of the material body. The practical implementation of this idea is confirmed by the presence of promising approaches to solving the problem of quantizing gravity (string theory, loop quantum gravity, etc.) recognized by the world scientific community and by the successful results of experiments conducted by the authors with the motion of bodies in a vacuum chamber. The proposed idea, the examples and experiments has given grounds for the formation of new physical concepts of the speed, mass and inertia of bodies. The obtained results can be used in experiments to search for elementary particles with low energy, to explain a number of physics phenomena and to develop transport of objects based on new physical principles.
Improving Drug Response Prediction Using Dual Similarity Regularization
Authors: Ebadi Ali Reza , Soleimani Ali , Ghaderzadeh Abdulbaghi 
Published: June 2021

Abstract
Anti-cancer medicine for a particular patient has been a personal medical goal. Many computational models have been proposed by researchers to predict drug response. But predictive accuracy still remains a challenge. Base on this concept which “Similar cells have similar responses to drugs”, we developed the basic method of matrix factorization method by adding fines to similarity. So that the distance of latent factors to two cell lines or (drug) should be inversely related to similarity. This means that two similar drugs or similar cell lines should have a short distance, whereas two similar cell lines or non-similar drugs should have a large gap with their latent factors. We proposed a Dual similarity-regularized matrix factorization (DSRMF) model, then generated new data for drug similarity from the two-dimensional three-dimensional chemical structure, which were obtained from the CCLE and GDSC databases. In this research, by using the proposed model, and generating new drug similarity data we achieved the average Pearson correlation coefficient (PCC) about 0.96, and average mean square error (RMSE) Root about 0.30, between the observed value and the predicted value for the cell line response to the drug. Our analysis in this research showed, using heterogeneous data, has better results, and can be obtained with the proposed model, using other panels’ cancer cell lines, to calculate similarity between cells. Also, by imposing more restrictions on the similarity between cells, we were able to achieve more accurate prediction for the response of the cell line to the anticancer drug.
A steady-state grouping genetic algorithm for the rainbow spanning tree problem
Authors: Ghoshal Sudishna , sundar shyam 
Published: June 2021

Abstract
Given a connected, undirected and edge-colored graph, the rainbow spanning tree (RSF) problem aims to find a rainbow spanning forest with the minimum number of rainbow trees, where a rainbow tree is a connected acyclic subgraph of the graph whose each edge is associated with a different color. This problem is $NP$-Hard and finds several applications in distinguishing among various types of connections. Being a grouping problem, this paper proposes a steady-state grouping genetic algorithm (SSGGA) for the RSF problem. To the best of our knowledge, this is the first work on steady-state grouping genetic algorithm for this problem. While keeping in view of grouping aspects of the problem, each individual, in the proposed SSGGA, is encoded as a group of rainbow trees, and accordingly a problem-specific crossover operator is designed. Moreover, SSGGA uses the idea of two steps in its replacement scheme. All such elements of SSGGA coordinate effectively and overall help in finding high quality solutions. Computational results obtained over a set of benchmark instances show that overall SSGGA, in terms of solution quality, is superior to all other existing approaches in the literature for this problem.
Synthesis of cobalt doping titanium dioxide fiber supported by reduced graphene oxide for photocatalytic degradation of toluene in air
Authors: Chen Shuai , Long Fei , Gao Guilan , Guan Jie , Guo Yaoguang , Zhang Li , Duan Lian 
Published: June 2021

Abstract
Titanium dioxide has been widely used for photocatalytic degradation of organic pollutants in air, while problems like low utilization rate of sunlight and easy recombination of photogenerated electrons and holes are the main drawbacks for its application. In this study, a combination of Co doping and graphene supporting was used to synthesize cobalt doping titanium dioxide fiber supported by reduced graphene oxide (Co-TiO2/RGO) using processes including electrospinning, heating and freeze-drying. The structural and textural features of Co-TiO2/RGO were characterized by different techniques, and toluene was used as a model pollutant to test its photocatalytic performance. Results show that Co-TiO2 is uniformly dispersed in reduced grapheme oxide and the specific surface area of Co-TiO2/RGO is higher than that of TiO2 and Co-TiO2. Further, under the conditions of Co doping amount of 1%, calcination of 600℃ for 4 h, gas residence time of 100 min, relative humidity of 100%, and the Co-TiO2 loading amount of 1 g, the degradation percentage of toluene by Co-TiO2/RGO was the highest, up to 99.1%. This study confirms the possibility of synthesizing Co-TiO2/RGO for the degradation of organic pollutants in air.