bluuebunny/crossref_metadata_2025_split huggingface dataset:
Electrolyte-Plasma Treatment in Controlled Pulse Modes
Authors: Korolyov A. Yu. , Aliakseyeu Yu. G. , Niss V. S. , Parshuto A. E. 
Published: July 2021

Electrolyte-plasma treatment (EPT) has become widespread in industry as an alternative to traditional chemical, electrochemical and mechanical methods of improving the surface quality of products made of metallic materials. The advantages of EPT are a high intensity of smoothing of microroughnesses, the use of low-concentration salt solutions as electrolytes, and the ability to process items of complex shape. The main disadvantage of the method is its high energy consumption; therefore, the method сan be classified as energy-intensive production. To reduce the energy intensity and increase the efficiency of the EPT process of metallic materials while maintaining high intensity, processing quality and environmental safety, we proposed a fundamentally new pulse method (pulsed EPT), which combines the advantages of both electrochemical processing and EPT. The method is realized by combining two alternating stages within one millisecond pulse: electrochemical and electrolyte-plasma. The high efficiency of the developed method is achieved due to the main intensive metal removal during the implementation of the electrochemical stage with a high current density and optimization of the duration of the electrolyte-plasma stage, which provides a high surface quality. A decrease in the repetition period of pulses with a decrease in their duration makes it possible to increase the electrochemical component of the process and to provide a more intensive metal removal, to remove significant surface irregularities. An increase in the pulse repetition period with a simultaneous increase in their duration permits to increase the electrolyte-plasma component of the process and achieve a low roughness with a general decrease in the energy intensity of the process. As a result of the work, the influence of the pulse characteristics of the developed process, the concentration and temperature of the electrolyte on the current density and the duration of the electrochemical and electrolyte-plasma stages has been investigated, a comparative analysis of the efficiency of using the pulsed EPT process instead of the traditional process at constant voltage has been carried out. It has been found that the metal removal rate in the developed pulse process is more than five times higher than the removal rate in the process based on the use of constant voltage, and is 40 μm/min, while the energy costs for the implementation of the pulse process is 19 % less.
Power Mode of High-Speed Combined Extrusion of Flat Bimetallic Road Milling Picks
Authors: Bykov K. Y. , Kachanov I. V. , Shatalov I. M. 
Published: July 2021

The paper presents a mathematical model developed for calculating the force effect on the punch in the process of high-speed combined hot extrusion of bimetallic road milling picks under plane deformation conditions. To solve the problem, the process is divided into two phases: acceleration phase and braking phase, which consists of two stages. A distinctive feature of the acceleration phase is that it allows the analysis of reverse extrusion, in the process of which the metal flows in the opposite direction to the punch stroke. A method for calculating the force acting on the punch at each phase of the process of plastic flow of a bimetallic workpiece into a matrix cavity with three deformation zones is presented in the paper. While solving the problem in a quasi-static formulation and proceeding from the conditions of the minimum power of internal forces, equations have been obtained for calculating the optimal field parameters aopt, bopt, gopt, depending on the elongation coefficients l and the friction coefficient m. The equations obtained within the framework of the developed model are quite correct, since they allow determining the minimum force acting on the punch. The considered calculation model and equations can be used in the development of industrial technology for high-speed combined hot extrusion of flat-step bimetallic road milling picks.
Basics of Calculating Anti-Theft Crane Device from Eccentric and Tick-Borne Mechanisms
Authors: Selivonchik N. M. , Nesterenko N. L. 
Published: July 2021

According to the requirements of the “Rules for industrial safety of cranes”, anti-theft devices must ensure that cranes under the influence of wind force stop at any point on the track, including at the junction of rails connected by side strips. Various types of anti-theft crane devices recommended for use have a number of disadvantages. Thus, the supply of anti-theft crane devices made in the form of lever grips interacting with the rail head with mechanisms for disengaging and converging grippers with electromechanical, electromagnetic, hydraulic or pneumatic drives complicates their design. There are also known anti-theft crane devices, in which the stopping of cranes on a rail track is carried out by a locking eccentric interacting with the surface of the rail head. The reliability of such devices is insufficient, since, due to the constant force of the spring, the adhesion force of the eccentric to the rail does not depend on the changing wind force. The paper proposes the basics of calculating the anti-theft crane device, representing the kinematic connection of two mechanisms – eccentric and thick-borne, which allows to solve a number of the above problems.
Algorithm for Solving Problem of Designing Regional Logistics Infrastructure
Authors: Ivut R. B. , Popov P. V. , Lapkovskaya P. I. , Sheveleva N. E. 
Published: July 2021

The paper considers an algorithm for solving the problem of finding the optimal location of key objects of transport and warehouse infrastructures within the framework of a methodological approach to designing logistics infrastructure in the territory of the region of the countries. The methodological approach includes three stages. At the first stage, areas are determined where it is advisable to locate key objects of the regional logistics infrastructure. Further, using the models developed by the authors, the linking of warehouse infrastructure objects on the ground has been carried out and, taking into account the designed warehouse network, the optimal dislocation of transport infrastructure objects has been determined. To find the optimal locations for the objects for regional logistics infrastructure facilities, the authors propose an algorithm that is applicable both for building warehouse and transport infrastructures due to the similarity of the models. The algorithm is based on the method of constructing a sequence of plans. At the initial stage, the final expansion is constructed for the set of plans under consideration. For a given set, a minorant has been determined for the cost function associated with the placement and maintenance of infrastructure facilities, the movement of goods, and the haul of an empty vehicle. After that, an iterative algorithm has been formed that determines the sequence of optima of the minorant on a sequence of nested sets. At the first step, an element of the set of plans has been found that minimizes the minorant, at the next step, the found element is excluded from the set under consideration, and a new optimum is sought on the remaining set for which the minorant takes the minimum value. To eliminate multiple plans, it is advisable to use dynamic programming procedures. The limits of applicability of the method for constructing a sequence of plans are determined by the ability to construct an extension of the set of plans for placing objects, select a minorant on it, and build an algorithm for ordering optima.
Pilot Test of Surfactant/Polymer Flood with Mixtures of Anionic/Cationic Surfactants for High-Temperature Low-Permeability Sandstone Reservoir
Authors: Li Y. , Zhang W. , Shen Z. , Jin J. , Su Z. , Yao F. , Wang B. , Yu X. , Bao X. , He X. , Wu X. , Zhang H. , Cui L. , Sha O. 
Published: July 2021

Summary
The first pilot test of a surfactant/polymer (SP) flood in the world with mixtures of anionic/cationic surfactants (Sa/c) was performed in a high-temperature and low-permeability sandstone reservoir with a high content of clay to demonstrate the potential of this novel technique to improve oil recovery. Low critical micelle concentration of 2.78×10−6 mol/L, ultralow interfacial tension (IFT) of 10−3 to 10−4 mN/m when surfactant concentrations were greater than 0.025 wt%, and lower phase microemulsion with solubilization ratio of 22, as well as oil-washing rate of 61%, were obtained by using Sa/c. Carboxymethylcellulose sodium was adopted as an adsorption inhibitor (AI) to reduce the adsorption because of the high clay contained in the natural core. With the addition of AI, dynamic adsorption of Sa/c was approximately 0.30 mg/g sand, and the IFT remained nearly unchanged before and after adsorption. The viscosities of polyacrylamide with molecular weight (MW) of 6.16×106 daltons and SP were 3.0 and 4.1 mPa·s, respectively. Coreflooding results showed that more than 16% of original-oil-in-place (OOIP) crude oil was recovered by SP over waterflood. The pilot test of SP containing Sa/c was performed in a Sinopec reservoir with temperature of 83°C, salinity of 1.69%, permeability of 41.5 md, and clay content of 10 to 16%. A total of 0.40-pore volume (PV) chemicals, including 0.1-PV polymer preslug, 0.25-PV SP main slug, and 0.05-PV post-polymer drive, were injected from August 2012 to December 2017 with an injection rate of 0.08 PV/yr. Then, waterdrive was conducted. Maximal water cut decreased from 82.2 to 62.1%, and the peak daily oil production increased from 12.2 to 32.3 t. The oil recovery was increased by 8.0% of OOIP within 4 years.
Identification of Nucleus Sterility Candidate Genes using a Resequencing Technique in Sweet Pepper Sterile Line AB91
Authors: Fan Yanqin , Meng Yaning , Yan Libin , Zhang Hongxiao 
Published: July 2021

Abstract
Breeding hybrids with nuclear male sterile lines is an important method for the cross breeding of sweet peppers. To date, few reports have been published on the nuclear male sterility gene of sweet pepper. Yet, there are approximately 20 pepper nuclear male sterility lines in the world. Using the self-developed testing material, sweet pepper nuclear male sterile dual-purpose line AB91, the genome-wide resequencing technique was applied to firstly find that the mutation site causing the abortion of sweet pepper nuclear male sterility AB91 is on chromosome #5. The mutation gene Capana05g000747 was filtered out and validated by the flight mass spectrometry genotyping method and determined to be the gene causing the abortion of sweet pepper nuclear male sterility AB91. The gene Capana05g000747 contains eight exons and seven introns, and its mutation site is a non-synonymous mutation site located at the 6th exon; the base C mutated into A, and the amino acid changed from alanine to serine. Sequence alignment analysis showed that the gene Capana05g000747 has a similar function to gene At2g02148. The gene At2g02148 contains a pentatricopeptide repeat protein which has important physiological functions in the gene expression process of organelles and is closely related to the performance of male sterility genes. Therefore, Capana05g000747 was selected as an important candidate gene for sweet pepper nuclear male sterile testing material AB91.
Parameter estimation of different solar cells using a swarm intelligence technique
Authors: Gupta Jyoti , Nijhawan Parag , Ganguli Souvik 
Published: July 2021

Abstract
Since the demand for a clean source of energy has increased, it led to the consequent rise in the importance of solar energy. Thus, the concept of solar cell modelling has drawn the attention of various researchers across the world. A useful and accurate mathematical model for such cells is therefore necessary. In the literature, the three-diode model (TDM) is suggested as a more reliable approach to satisfy the behaviour of photovoltaic (PV) cells. This paper proposes a new swarm intelligent technique namely, the Chaotic Chicken Swarm Optimization (CCSO), which is originated from the parent chicken swarm algorithm, for parameter assessment of the three-diode PV model, as the three-diode PV model incorporate the grain boundaries and leakage current. Ten different popular chaotic maps have been considered for the study to identify the parameters from the manufacturer datasheet. The chicken swarm technique yields great optimization results both in terms of accuracy and robustness. Further, the use of chaotic maps improves the diversification feature of this metaheuristic technique for which it is preferred. The performance of the proposed approach proved better when compared with some of the popular techniques available in the literature in terms of convergence accuracy and speed. The accuracy of the proposed technique is also verified by extracting I-V and P-V curves. Moreover, several non-parametric statistical tests are also performed to validate the significance of the outcomes obtained by the proposed method.
Xylogenesis, photosynthesis and respiration of Scots pine trees growing in Eastern Siberia (Russia)
Authors: Feodosievna Antonova Galina , Victorovna Stasova Victoria , Georgievna Suvorova Galina , Alekcandrovich Oskolkov Vladimir 
Published: July 2021

Abstract

Key message The relationships between cambium activity, cell wall biomass accumulation and photosynthesis/ respiration in Scots pine trees, growing in Eastern Siberia (Russia), change during the season in dependence on combination of summer-weather conditions. The wood formation in tree trunks depends on photosynthesis and respiration and the each of the processes are under the effect of external factors. Each factor effects the growth in combination with other factors and the change in any of these factors leads to strengthen or to weaken of the growth processes in tree. We investigated the formation of xylem and phloem cells by cambium, cell wall biomass accumulation in Scots pine trees, growing in Eastern Siberia (Russia), in dependence on the productivity of photosynthesis and energy cost in separate seasonal periods in the years with opposite summer-weather conditions. The cores extracted throughout 10-day from the stems of 10 trees during the seasons were used to determine the number of cells with different development degree and their morphological parameters. Cambium activity and cell wall biomass accumulated on the separate stages of annual ring wood formation and their connections with the photosynthetic productivity of crown and the level of stem respiration photosynthesis were assessed. The activity of cambial cell division into xylem or phloem sides in separate periods depended on the combination of temperature/precipitation and on the connection with photosynthesis and respiration. The dynamics of biomass accumulation was bimodal with the maximums in June (earlywood development) and mainly in August (development of thick-wall late tracheids), what was due to the combination of optimal temperature and the moisture in the stem tissues. The variation in the external factors changed the balance between the incoming of photoassimilates and the energy cost causing a competition for photosynthesis products and, as a consequence, photoassimilates were used not only for cell-wall biomass synthesis and but also for their reservation of spare substances in the form of starch. The data is useful to understanding of internal processes of wood annual ring formation in pine trees.
The Impact of COVID-19 Pandemic on Gynecological and Breast Cancer Detection Rate: A Tertiary Center Perspective.
Authors: Knoll Katharina , Reiser Elisabeth , Leitner Katharina , Kögl Johanna , Ebner Christoph , Marth Christian , Tsibulak Irina 
Published: July 2021

Abstract
Purpose: The aim of the present study was to assess the impact of postponed screening examinations and lockdown measures on gynecological and breast cancer detection rate throughout the year 2020 in a gynecological oncological center in Austria.Methods: Data of 889 patients with either newly diagnosed gynecological or breast cancer between January 2019 and December 2020 were collected. Clinical parameters including symptoms, performance status, comorbidities and referral status were compared in patients, who were newly diagnosed with cancer in the period of the first lockdown from March 2020 – April 2020 and the second lockdown from November 2020 – December 2020 and compared to the same period in 2019.Results: Our results showed a strong decline in newly diagnosed cancers during the lockdown periods: -45% in gynecological cancer and -52% in breast cancer compared to the same period in 2019. Compared to the analogue period of 2019, breast cancer patients reported significantly more tumor-associated symptoms (55% versus 31%, p=0.013) during and in between (48% versus 32%, p=0.022) the lockdowns. During the lockdown periods breast cancer patients were diagnosed with a significantly higher tumor-stage (T2-T4; p=0.047).Conclusion: Both lockdowns led to a strong decrease in newly diagnosed gynecological and breast cancers. Treatment delays in potentially curable disease could lead to inferior clinical outcomes, with the risk of missing the optimal treatment window. As the COVID-19 pandemic will be a challenge for some time to come, new strategies in patient care are needed to optimize cancer screening and management during the pandemic.
An Improved Banking Application Model Using Blockchain
Authors: Khan Muhammad Khalid , Nisar Kashif , Farooq Yumna , Habib Shamsheela , Danish Muhammad , Hyder Iram 
Published: July 2021

Abstract
Every field is improving day by day as technologies become advance. The banking industry needs to improve as well, due to face lots of pressure for their backward system and having a lot of issues, such as data storage, privacy, scalability, and transparency. These issues, forced to drive the banking system towards advancements. We know that the banking system is the core of finance. So, banking should adopt blockchain technologies due to their characteristics, such as decentralization, data privacy, immutability, transparency, etc. which could help the banking industry to cope with the issues of the traditional centralized banking system. There are many systems already proposed to the banking industry, that are based on blockchain techniques like transaction, auditing, trading, data sharing, off-chain, and on-chain systems. But there is no proper solution base system for banking that carries out the banking process flow using consortium and ensures to solve all issues discussed above. Keeping these problems, we proposed a theoretical model for the banking sector. This model uses the techniques of on-chain and off-chain transactions based on a consortium blockchain. In which, a user ID, with the public key, and a private key are provided to each banking user. In this model, data stored in a third-party database as an off-chain mechanism, and mapped using (public\private) Keys and user ID as an on-chain mechanism, which will be updated and validate periodically using Smart Contract. So, if data will tamper between two periodic checks, then this tempering gets caught. This technique ensures security. In this model consortium, P2P (Peer-to-peer) protocol is also applied to ensure data privacy and partial transparency. Also, three more services provide by this model are, registration, transaction to contractual party, and transaction to the customer from the bank. The first two services are handled off-chain and the third service is handled on-chain, which ensures authentication of registered clients. In this regard, as we mentioned above, that still no banking system proposed an idea to use the consortium technique yet. So, we compare our model with the previously proposed transaction models. Our proposed model covered almost all aspects required for a banking system. This model will help to implement a blockchain-based banking system, which is more robust, secure, transparent, and scalable.
An Enhanced Exploration of Sentimental Analysis in Health Care
Authors: Chakrapani Kannan , Kempanna Muniyegowda , Iqubal Safa Mohamad , Thyagarajan Kavitha , Ramachandran Manikandan , Bhaskar Vidhyacharan , Kumar Ambeshwar 
Published: July 2021

Abstract
The medical dataset replicates the patient's crucial information, such as important details regarding the patient's health. It includes disease diagnoses, interventions, and descriptions of the examined results. Also, detecting the mindset of an acute disease-affected patient is a primary challenging task. Though sentiment analysis plays a role in seeing their perspective, the significant broad medical application does not yet meet the analysis of patient mindset. So here we identified major shortcoming exists while studies the diversified disease-affected people mindset. Hence, we introduce a practical framework to analyse patients' perspectives using a socio-medical dataset that contains various reviews and feedback of critical diseases-affected people—initially, we applied a pre-processing technique, including Lowercase Conversion, removing special characters, removing stop words, Number to word conversion, Stemming, and lemmatization over dataset. Next, N-gram tokenization methodology is used to extract the valuable features followed by assigning polarity score to each sentiment we extract and calculate the overall polarity of the context. Finally, a probabilistic LDA model was employed to combine the review. Furthermore, various machine learning classifiers are explored to evaluate the performance of the proposed framework.
Defining The Learning Curve of Single-Port Inflatable Mediastinoscopy With Simultaneous Laparoscopic-Assisted Surgery For Radical Esophagectomy
Authors: Shi Jinpeng , Li Xiaojian , Wu Tianchi , Wu Xiangwen , Wang Xiaojin , Cheng Hua , Zhong Hongcheng , Zhang Bin , Zhong Beilong , Gan Xiangfeng , Cao Qingdong 
Published: July 2021

Abstract
Background Single-port inflatable mediastinoscopy with simultaneous laparoscopic-assisted surgery for radical esophagectomy is a promising surgical method with high technical requirements and needs team cooperation. Therefore, it is necessary to define a learning curve to guide personnel training and improve the safety of these surgical techniques.Method This study prospectively analyzed the data of 79 consecutive patients, who underwent the surgery in the Fifth Affiliated Hospital of Sun Yat-sen University from October 2016 to May 2018. All of these patients were treated by the same surgical team with extensive experience in thoracotomy, laparotomy, thoracoscopic surgery and laparoscopic surgery. The learning curve was analyzed by cumulative summation (CUSUM) analysis, with the assessment of operative time, estimated blood loss, and postoperative complications.Result By analyzing these data, The scatter diagram of every measure showing a declining situation. The learning curve decreased beginning at 25th operation. All patients were chronologically divided into two groups, the group 1(the first 25 patients) and the group 2 (the last 54 patients). The median estimated blood loss of group 2 was lower than group 1(200 vs 100ml, p<0.05). No other clinic or pathologic characteristics were observed as significantly different.Conclusion For a surgical team with extensive experience in thoracotomy, laparotomy, thoracoscopic surgery and laparoscopic surgery, 25 cases are needed before becoming proficient in this surgery.