bluuebunny/crossref_metadata_2025 huggingface dataset:
Preparation and Performance Study of Poly(1,3-propanediol) Ester/PLLA Blended Membrane
Authors: Jiang Dengbang , Song Xiushuang , Ma Minna , A Huaying , Lu Jingmei , Zi Conglie , Zhao Wan , Lan Yaozhong , Yuan Mingwei
Published: March 2023

Poly(1,3-propanediol palmitate)/L-polylactic acid (PO3G-PA/PLLA) composite films were prepared by solution casting. The two raw materials used to prepare the film are 100% renewable. The experimental results of the composite films show that the addition of PO3G–PA can significantly improve the toughness and crystallinity of PLLA while keeping the thermal stability of the film unchanged. When PO3G–PA was added to the film at concentrations of 0%, 5%, 10%, 15%, 20%, and 25%, the elongation at break of the film reached 37.5%, 68.8%, 118.9%, 226.8%, and 95.9%, respectively. The crystallinity of PLLA could reach 4.5%, 6.19%, 10.59%, 23.00%, 25.28%, and 16.62%, separately. The accelerated degradation experiments at 60 °C showed that adding different quantities of PO3G-PA under neutral conditions had a minimal effect on the rate of PLLA film degradation. The degradation rate of the PLLA membrane can be successfully modified by varying the concentration of PO3G–PA under acidic and alkaline conditions.
Microstructure Characterization and Strengthening Mechanism Analysis of X100 Pipeline Steel
Authors: Ye Xiaoyu , Cui Shaohua , Liu Tao , Ma Qilin , Liu Gang , Huang Zhenyi , Guo Jie , Yin Shubiao
Published: March 2023

The strengthening mechanism of X100 high steel grade pipeline steel, including grain boundary strengthening, solution strengthening, precipitation strengthening, dislocation strengthening, and texture strengthening, was analyzed by the technics of scanning electron microscopy (SEM), electron backscattered diffraction (EBSD), transmission electron microscopy (TEM), X-ray diffraction (XRD), physicochemical phase analysis, and so on. The results showed that the tested steel had a mixed structure of granular bainite and lath bainite, the average effective grain size was refined to about 1 μm by severe hot plastic deformation, the dislocation density was as high as 1.74 × 1015/m2, and the second phase precipitation was mainly (Ti, Nb)(C, N) in submicron scale and nanoscale NbC. Through orientation distribution function (ODF) orientation analysis, it was found that the tested steel had obvious anisotropy and had a strong rolling direction (RD) texture along the rolling direction compared with the 30° direction: {115}<110> and {113}<110>. After the quantitative analysis of strengthening mechanisms, it was found that the highest strengthening increment was caused by high-density dislocations in bainite of about 268 MPa, while the lowest strengthening increment was induced by precipitation particles of about 31 MPa.
E-Wave Interaction with the One-Dimensional Photonic Crystal with Weak Conductive and Transparent Materials
Authors: Belyaev Victor , Zverev Nikolai , Abduev Aslan , Zotov Alexander
Published: March 2023

The interaction of electromagnetic E-waves with one-dimensional photonic crystals consisting of weak conductive and transparent layers is studied theoretically. If the thicknesses of both the conductive and transparent layers are of the order of skin depth, then the domains of transmission and reflection appear. However, if the thickness of the conductive layers is much less than the skin depth but much more than the Debye screening radius, the resonant behavior of the optical power coefficients appears at a frequency close to the plasma frequency.
Development of Antimicrobial Microcapsules of Saffron Petal Essential Oil by Condensation Method and Its Excellent Binding on Cotton Fibers
Authors: Liu Su , Shi Liuxin , Liu Mengyun , Chen Wei , Cheng Qiang , Song Xiuli
Published: March 2023

In recent years, textiles with antimicrobial properties have attracted more and more attention. As natural antimicrobial agents, essential oils’ potential application value lies in their ability to provide textiles with antimicrobial functions. In this paper, organic solvent extraction (n-hexane, petroleum ether, ethanol) and steam distillation were used to extract saffron petal essential oil (SPEO). It was found that organic solvent extraction (ethanol) had the highest extraction rate and the most apparent bacteriostatic effect. SPEO-Ms were prepared using the composite condensation method with gelatin and chitosan. The microstructure, encapsulation efficiency, slow-release performance, infrared spectrum, and thermal stability of the SPEO-Ms were evaluated. The results showed that the microencapsulated essential oil had good bacteriostatic properties. Antimicrobial cotton fabric was prepared by impregnating microcapsules onto cotton fibers. The effects of the microcapsules’ concentration on the whiteness, air permeability, moisture permeability, and bacteriological inhibition of the fabric were investigated. The results revealed that SPEO-Ms have the potential to be used as a new antimicrobial agent in textiles.
Atmospheric Plasma and UV Polymerisation for Developing Sustainable Anti-Adhesive Polyethylene Terephthalate (PET) Surfaces
Authors: Caykara Tugce , Fernandes Sara , Braga Adelaide , Rodrigues Joana , Rodrigues Ligia Raquel , Silva Carla Joana
Published: March 2023

Enhancing the hydrophilicity of polymeric materials is an important step for achieving anti-adhesiveness. Thus, in this study, atmospheric plasma as a pre-treatment was combined with a UV grafting process to obtain a durable surface modification on polyethylene terephthalate (PET). The most promising conditions for the atmospheric plasma process were found to be 15 kW power and 4 m/min speed, leading to a contact angle reduction from 70 ± 6° to approximately 30°. However, it was observed that these values increased over time due to the ageing and washing of the PET surface, ultimately causing it to recover its initial contact angle. Therefore, the plasma-pre-treated PET samples were further modified through a UV grafting process using sodium acrylate (NaAc) and 3-sulfopropyl acrylate potassium salts (KAc). The grafted acrylate PET samples exhibited contact angles of 8 ± 3° and 28 ± 13° for NaAc and KAc, respectively, while showing durability in ageing and washing tests. The dry film thicknesses for both samples were found to be 28 ± 2 μm. Finally, the anti-adhesive properties of the NaAc- and KAc-treated surfaces were evaluated using an Escherichia coli expressing YadA, an adhesive protein from Yersinia. The modified PET surfaces were highly effective in reducing bacterial adhesion by more than 90%.
Skid Resistance Attenuation of Asphalt Pavement Based on Multifactor Accelerated Wear Test
Authors: Qi Lujie , Liu Yamin , Liu Zhongliang , Zhang Congcong , Chen Zhenshan , Lv Jin , Wan Haifeng
Published: March 2023

To describe the skid resistance attenuation of asphalt pavement during its life cycle, this paper selected a multi-variable accelerated abrasion machine to simulate the abrasion process, and British Pendulum Number was selected to evaluate the skid resistance after various abrasive cycles. During the abrasion process, three factors influencing the skid resistance were considered, including aggregate types (diorite, limestone, granite, and basalt), nominal maximum aggregate size (NMAS), and gradations (dense, gap, and open). The results show that with increasing abrasion cycles, the skid resistance of asphalt pavement firstly decreases rapidly in the first abrasion stage (0–8000 cycles), then at a relatively gentle rate in the second abrasion stage (8000–20,000 cycles), and finally at the lowest rate in the third abrasion stage (after 20,000 cycles). The skid-resistance durability and stability of pavement are ranked as basalt > granite > amphibolite > limestone. Moreover, the effect of aggregate parameters on skid resistance is in the order: angularity > PSV > WSV > CSV. The skid resistance and its stability improve as NMAS increases. The pavement skid durability is in the order: SMA > OGFC > AC. In addition, the sizes of 16 mm, 13.2 mm, 9.5 mm, 0.6 mm, 0.3 mm and 0.15 mm are the critical sieve sizes to improve the skid resistance of asphalt pavement.
Transoral Approach to Parapharyngeal Space Tumours: Preliminary Reports from a Single-Centre Retrospective Analysis
Authors: Motta Giovanni , Testa Domenico , Donadio Anna , Ricciardiello Filippo , Cavaliere Michele , Massimilla Eva Aurora , Motta Gaetano
Published: March 2023

Purpose: The aim of this study is to identify certain parapharyngeal space tumours with specific characteristics that can be treated successfully through an endoscopically assisted transoral approach (EATA). Methods: Nine patients with PPS tumours underwent surgery through an EATA between 2003 and 2021. All patients underwent clinical examination and fibrolaryngoscopy. Preoperative CT and/or MRI was performed on all patients. Results: All the patients were successfully treated through an endoscopically assisted transoral approach. Histological examination revealed five pleomorphic adenomas, two schwannomas, one ectopic thyroid gland and one lipoma. The only long-term sequelae observed was Horner syndrome in the two schwannomas arising from the carotid space. The mean hospitalisation time was 2.6 days, while the mean follow-up time was of 9.7 years. Conclusions: An endoscopically assisted transoral approach (EATA) is a valid technique for treating benign capsulated tumours of the true PPS and some benign capsulated tumours of the superomedial aspect of the carotid space.
Borrowing Concurrent Information from Non-Concurrent Control to Enhance Statistical Efficiency in Platform Trials
Authors: Liu Jialing , Lu Chengxing , Jiang Ziren , Alemayehu Demissie , Nie Lei , Chu Haitao
Published: March 2023

A platform trial is a trial involving an innovative adaptive design with a single master protocol to efficiently evaluate multiple interventions. It offers flexible features such as dropping interventions for futility and adding new interventions to be evaluated during the course of a trial. Although there is a consensus that platform trials can identify beneficial interventions with fewer patients, less time, and a higher probability of success than traditional trials, there remains debate on certain issues, one of which is whether (and how) the non-concurrent control (NCC) (i.e., patients in the control group recruited prior to the new interventions) can be combined with the current control (CC) in the analysis, especially if there is a change of standard of care during the trial. Methods: In this paper, considering time-to-event endpoints under the proportional hazard model assumption, we introduce a new concept of NCC concurrent observation time (NCC COT), and propose to borrow NCC COT through left truncation. This assumes that the NCC COT and CC are comparable. If the protocol does not prohibit NCC patients to change the standard of care while on study, NCC COT and CC likely will share the same standard of care. A simulated example is provided to demonstrate the approach. Results: Using exponential distributions, the simulated example assumes that NCC COT and CC have the same hazard, and the treatment group has a lower hazard. The estimated HR comparing treatment to the pooled control group is 0.744 (95% CI 0.575, 0.962), whereas the comparison to the CC group alone is 0.755 (95% CI 0.566, 1.008), with corresponding p-values of 0.024 versus 0.057, respectively. This suggests that borrowing NCC COT can improve statistical efficiency when the exchangeability assumption holds. Conclusion: This article proposes an innovative approach of borrowing NCC COT to enhance statistical inference in platform trials under appropriate scenarios.
Consensus Recommendations to Optimize the Detection and Reporting of NTRK Gene Fusions by RNA-Based Next-Generation Sequencing
Authors: Stockley Tracy L. , Lo Bryan , Box Adrian , Gomez Corredor Andrea , DeCoteau John , Desmeules Patrice , Feilotter Harriet , Grafodatskaya Daria , Hawkins Cynthia , Huang Weei Yuarn , Izevbaye Iyare , Lepine Guylaine , Papadakis Andreas I. , Park Paul C. , Sheffield Brandon S. , Tran-Thanh Danh , Yip Stephen , Sound Tsao Ming
Published: March 2023

The detection of gene fusions by RNA-based next-generation sequencing (NGS) is an emerging method in clinical genetic laboratories for oncology biomarker testing to direct targeted therapy selections. A recent Canadian study (CANTRK study) comparing the detection of NTRK gene fusions on different NGS assays to determine subjects’ eligibility for tyrosine kinase TRK inhibitor therapy identified the need for recommendations for best practices for laboratory testing to optimize RNA-based NGS gene fusion detection. To develop consensus recommendations, representatives from 17 Canadian genetic laboratories participated in working group discussions and the completion of survey questions about RNA-based NGS. Consensus recommendations are presented for pre-analytic, analytic and reporting aspects of gene fusion detection by RNA-based NGS.
Fixed-Wing Unmanned Aerial Vehicle 3D-Model-Based Tracking for Autonomous Landing
Authors: Pessanha Santos Nuno , Lobo Victor , Bernardino Alexandre
Published: March 2023

The vast increase in the available computational capability has allowed the application of Particle-Filter (PF)-based approaches for monocular 3D-model-based tracking. These filters depend on the computation of a likelihood function that is usually unavailable and can be approximated using a similarity metric. We can use temporal filtering techniques between filter iterations to achieve better results when dealing with this suboptimal approximation, which is particularly important when dealing with the Unmanned Aerial Vehicle (UAV) model symmetry. The similarity metric evaluation time is another critical concern since we usually want a real-time implementation. We explored, tested, and compared with the same dataset two different types of PFs, (i) an Unscented Bingham Filter (UBiF) and (ii) an Unscented Bingham–Gauss Filter (UBiGaF), using pose optimization in both implementations. Using optimization steps between iterations increases the convergence capability of the filter and decreases the obtained error. A new tree-based similarity metric approach is also explored based on the Distance Transform (DT), allowing a faster evaluation of the possibilities without losing accuracy. The results showed that the obtained pose estimation error is compatible with the automatic landing requirements.
Design and Performance Evaluation of Integrating the Waste Heat Recovery System (WHRS) for a Silicon Arc Furnace with Plasma Gasification for Medical Waste
Authors: Dong Yuehong , Wei Lai , Wang Sheng , Pan Peiyuan , Chen Heng
Published: March 2023

A hybrid scheme integrating the current waste heat recovery system (WHRS) for a silicon arc furnace with plasma gasification for medical waste is proposed. Combustible syngas converted from medical waste is used to drive the gas turbine for power generation, and waste heat is recovered from the raw syngas and exhaust gas from the gas turbine for auxiliary heating of steam and feed water in the WHRS. Meanwhile, the plasma gasifier can also achieve a harmless disposal of the hazardous fine silica particles generated in polysilicon production. The performance of the proposed design is investigated by energy, exergy, and economic analysis. The results indicate that after the integration, medical waste gave rise to 4.17 MW net power at an efficiency of up to 33.99%. Meanwhile, 4320 t of the silica powder can be disposed conveniently by the plasma gasifier every year, as well as 23,040 t of medical waste. The proposed design of upgrading the current WHRS to the hybrid system requires an initial investment of 18,843.65 K$ and has a short dynamic payback period of 3.94 years. Therefore, the hybrid scheme is feasible and promising for commercial application.
Gate-Level Circuit Partitioning Algorithm Based on Clustering and an Improved Genetic Algorithm
Authors: Cheng Rui , Yin Lin-Zi , Jiang Zhao-Hui , Xu Xue-Mei
Published: March 2023

Gate-level circuit partitioning is an important development trend for improving the efficiency of simulation in EDA software. In this paper, a gate-level circuit partitioning algorithm, based on clustering and an improved genetic algorithm, is proposed for the gate-level simulation task. First, a clustering algorithm based on betweenness centrality is proposed to quickly identify clusters in the original circuit and achieve the circuit coarse. Next, a constraint-based genetic algorithm is proposed which provides absolute and probabilistic genetic strategies for clustered circuits and other circuits, respectively. This new genetic strategy guarantees the integrity of clusters and is effective for realizing the fine partitioning of gate-level circuits. The experimental results using 12 ISCAS ‘89 and ISCAS ‘85 benchmark circuits show that the proposed algorithm is 5% better than Metis, 80% better than KL, and 61% better than traditional genetic algorithms for finding the minimum number of connections between subsets.
Adult Education and Globally Engaged Trainers: The Case of Vocational Training Institutes
Authors: Karanikola Zoe , Panagiotopoulos Georgios
Published: March 2023

Globalization provides access to people, services, goods, ideas, beliefs and values in a new way and poses fundamental challenges for all areas of education in every country. Education on global issues is a process of individual and collective growth which allows for transformation and self-transformation. In this vein, this quantitative study seeks to investigate the perspectives of 310 adult educators on global education training. The accessible population of the study was adult educators working in the public and private vocational training institutes in the region of Western Greece during the academic year 2021–2022. The random sampling technique was applied. Research findings show that teachers recognize the necessity and importance of training on global competence and most of them have attended one or more courses mostly during their undergraduate or postgraduate studies or during their participation in training programs. They also regard the University as the most appropriate training actor, and they are in favor of optional training programs and of mixed type. Regarding training topics, they proposed interculturalism, diversity, current events, religion, history, immigrants, environment, geography, human rights and culture. Finally, participants’ aspects do not seem to be affected by their employment relationship and years of service. On the contrary, gender, ICT knowledge and additional studies seem to affect the results of the research.
Assessing the Limits of Equivalent Circuit Models and Kalman Filters for Estimating the State of Charge: Case of Agricultural Robots
Authors: Monsalve German , Cardenas Alben , Acevedo-Bueno Diego , Martinez Wilmar
Published: March 2023

The battery State of Charge (SoC) is critical information to overcome agricultural robots’ limitations related to battery and energy management. Although several SoC estimation methods have been proposed in the literature, the performance of these methods has not been validated for different battery chemistries in agricultural mobile robot applications. Compared to previous work, this paper evaluates the limits of the SoC estimation using the RC model and the Thevenin model for a Lithium Iron Phosphate (LFP) battery and a Sealed Lead Acid (SLA) battery. This evaluation used a custom agricultural robot in a controlled indoor environment. Consequently, this work assessed the limitations of two ECM-based SoC estimation methods using battery packs, low-cost sensors and discharge cycles typically used in agricultural robot applications. Finally, the results indicate that the RC model is not suitable for SoC estimation for LFP battery; however, it achieved a mean absolute error (MAE) of 2.2% for the SLA battery. On the other hand, the Thevenin model performed properly for both chemistries, achieving MAE lower than 1%.
Integration of Distributed Generation and Plug-in Electric Vehicles on Power Distribution System by Using Queuing Theory
Authors: Oonsivilai Anant , Boribun Banyat , Pao-la-or Padej
Published: March 2023

Plug-in electric vehicles (PEVs) and distributed generation (DG) can positively and negatively impact the distribution system. Therefore, this paper presents the modeling and analysis of DG and PEVs’ penetration levels of the three-phase unbalanced radial distribution system. The study aims to optimize the distribution system’s DG sizing and PEV charging to minimize total power loss. The test system is the 4th circuit of the Nonsung service station along Thaharn Road, Muang District, Udon Thani, Thailand. According to objective function and constraints, such control variables as installation buses and rated outputs of DG and the penetration levels of PEVs were obtained to evaluate the total power loss. Significantly, the charging demand of PEVs is an uncertain load estimated by queuing theory integration with the minimization tool called the differential evaluation (DE) method. According to the result comparison of a four case simulation, the total power losses of queuing theory and DE application are minimum. Finally, total power losses conform to the regulation of the Provincial Electricity Authority (PEA), Thailand.
Experimental Characterization of an NEG Pump of Novel Size—A Major Step toward Its Application in DEMO Neutral Beam Injectors
Authors: Hanke Stefan , Day Christian , Giegerich Thomas , Luo Xueli , Siviero Fabrizio , Mura Michele , Busetto Beatrice , Maccallini Enrico , Manini Paolo , Sartori Emanuele , Siragusa Marco , Sonato Piergiorgio
Published: March 2023

A future nuclear fusion plant DEMO needs neutral beam injection (NBI) systems requiring a vacuum pumping system with a very high pumping speed, in the order of several 1000 m3/s. Large customized cryopumps are actually used to meet the requirements. A promising concept for future NBI systems is based on high capacity getter materials. The ZAO® alloy, developed by SAES Getters, Italy, provides a drastically improved performance for the pumping of hydrogen compared to conventional getter materials. This paper describes the experimental characterization of a large pump of scalable size with 15 kg of ZAO® and the achieved results, in particular the systematic investigation of sorption characteristics and regeneration behaviors. Major findings include a very good repeatability of the sorption performance, a reduced pumping speed at higher pressures only above the NBI relevant level, an improved performance (+20%) with elevated getter temperature and an isotope independent sticking coefficient for hydrogen. Furthermore, improved operation experience and regeneration prediction tools have been developed. Employing the experimental results, a simulation task was performed and the sticking factor of the getter cartridge was determined with 7%.
Comparative Study on Lithium Recovery with Ion-Selective Adsorbents and Extractants: Results of Multi-Stage Screening Test with the Use of Brine Simulated Solutions with Increasing Complexity
Authors: Knapik Ewa , Rotko Grzegorz , Marszałek Marta , Piotrowski Marcin
Published: March 2023

Oil (and natural gas) field brines can be considered promising sources of lithium for the sustainable supply of a growing market. To date, many materials have been developed for direct lithium recovery from brines, but most often these materials have been tested under various conditions, what makes it impossible to compare them. The aim of this research is to provide knowledge that would enable the comparison and selection of effective sorbents for different types of brines. For this purpose, an eight-step experimental protocol was employed. The recovery tests started with a pure lithium solution (300 mg/kg), and then other salts were gradually added, resulting in a brine containing Li+ (220 mg/kg), Na+ (7.21 wt%), Ca2+ (3.0 wt%) and Mg2+ (1000 mg/kg). For selected cases, the effect of pH was also investigated. Fifty materials (including ion exchange resins, organophosphate extractants, mineral adsorbents) were examined, for which the distribution coefficient and lithium recovery were determined. Moreover, for the most promising materials, lithium over magnesium selectivity and lithium ion capacity were determined. Only γ-Al2O3, TiO2 and MnOx-based powders keep their effectiveness in ultra-high salinity ranges and in the presence of high concentrations of Ca2+ and Mg2+ in alkaline solution.
Impact of the COVID-19 Pandemic on the World Energy and Food Commodity Prices: Implications for Global Economic Growth
Authors: Figiel Szczepan , Floriańczyk Zbigniew , Wigier Marek
Published: March 2023

The negative socio-economic consequences of the COVID-19 pandemic are widely discussed. However, relatively less attention is paid to its impact on the world commodity price formation including energy and food prices. The aim of this paper is to examine the impact of the COVID-19 pandemic on world energy commodity prices and their interactions with world food commodity prices. Using the World Bank data on commodity prices we look for evidence of changes in energy and food prices caused by occurrence of the COVID-19 pandemic, which was assumed to be a negative shock to the global economy in terms of both supply and demand. Based on data series analysis of indices of world energy and food commodity prices, it is evident that after the outbreak of the COVID-19 pandemic the energy prices, especially oil prices, plummeted. Food prices followed the same direction; however, their plunge was much less extreme. In general, it can be concluded that the pandemic caused a severe energy price shock which clearly had a negative impact on global economic growth, but the scale of this impact differs depending on the type of economic sector and countries’ net export positions in energy and food trade.
Improving the Energy Efficiency of a Ship’s Power Plant by Using an Autonomous Hybrid System with a PMSG
Authors: Tarnapowicz Dariusz , German-Galkin Sergey , Nerc Arkadiusz , Jaskiewicz Marek
Published: March 2023

In ship systems, diesel power generators are used in various systems of autonomous power plants to ensure power supply security. This article presents an autonomous hybrid system of a ship power plant with a diesel generator with a permanent magnet synchronous generator and electricity storage in parallel topology (the permanent magnet synchronous generator is connected directly to the receiving network). The electricity storage through the active converter is connected to the receiving network in parallel with the permanent magnet synchronous generator. The decoupled control of the reactive and active power in the active converter enables stabilization of the voltage in the ship’s electrical power grid while ensuring the possibility of obtaining different operating regimes of the power plant at various stages of the ship’s operation. The innovative method of voltage stabilization presented in this article is based on the compensation of the unfavorable reaction of the permanent magnet synchronous generator armature through the optimal transmission of negative inductive reactive power from the active converter to the generator using the electromagnetic properties of the synchronous generator. The active converter controls the direction of the active power transmission between the DC source, the grid, and the permanent magnet synchronous generator. This paper proposes a hybrid autonomous power plant system using battery storage in place of a single diesel generator set against the commonly used two diesel generator sets, working in parallel, to increase the energy efficiency of the power plant by minimizing the specific fuel consumption of the diesel generator set. The article examines the possibilities of such a mechatronic system design based on analytical research and analysis of electromagnetic and energy characteristics using the Matlab-Simulink program.
Experimental Study of Oxygen Depletion Effects on Soot Morphology and Nanostructure in Coflow Diffusion Aviation Fuel (RP-3) Flames
Authors: Guo Jiaqi , Gan Zhiwen , Li Jiacheng , Li Hanjing , Feng Bin , Xing Xinyu
Published: March 2023

Oxygen concentration is a significant factor affecting soot formation and oxidation. However, there are few studies that have focused on the morphology and nanostructure characteristics of soot in aviation kerosene, oxygen-depleted combustion flames. In the present paper, five coflow flames under initial oxygen volume concentrations of 18.5%, 19%, 20%, 21%, and 23.5% were studied. The pneumatic probe sampling method and high-resolution transmission electron microscopy (HRTEM) analysis were conducted to quantify the morphology and nanostructure parameters, and laser extinction (LE) was applied to determine the soot volume fraction. Among the cases of different oxidizer oxygen concentrations (23.5% to 18.5%), the change in soot volume fraction was quantified, and the degree of graphitization of soot particles, i.e., the maturity, were compared. The results show that the peak value of soot volume fraction of the flames increased by 0.73 ppm as the oxygen concentration increased from 21% to 23.5%, and decreased by 1.25 ppm as the oxygen concentration decreased from 21% to 18.5%. When the oxygen concentration decreased from 23.5% to 18.5%, the soot primary particle diameter at the same dimensionless height decreased and then increased, which was attributed to the competition between the changes in the residence time and the growth rate of the soot particles. The quantitative analysis results of the soot nanostructure suggested that reduced oxygen concentration inhibited the graphitization process of carbon lattices and decreased the maturity and oxidation resistance of soot. When the oxygen concentration decreased from 23.5% to 18.5% at the same dimensionless height, the mean fringe length decreased by an average of 0.18 nm, and the mean value of fringe tortuosity and spacing increased by an average of 0.053 and 0.035 nm.
A Review of SOH Prediction of Li-Ion Batteries Based on Data-Driven Algorithms
Authors: Zhang Ming , Yang Dongfang , Du Jiaxuan , Sun Hanlei , Li Liwei , Wang Licheng , Wang Kai
Published: March 2023

As an important energy storage device, lithium-ion batteries (LIBs) have been widely used in various fields due to their remarkable advantages. The high level of precision in estimating the battery’s state of health greatly enhances the safety and dependability of the application process. In contrast to traditional model-based prediction methods that are complex and have limited accuracy, data-driven prediction methods, which are considered mainstream, rely on direct data analysis and offer higher accuracy. Therefore, this paper reviews how to use the latest data-driven algorithms to predict the SOH of LIBs, and proposes a general prediction process, including the acquisition of datasets for the charging and discharging process of LIBs, the processing of data and features, and the selection of algorithms. The advantages and limitations of various processing methods and cutting-edge data-driven algorithms are summarized and compared, and methods with potential applications are proposed. Effort was also made to point out their application methods and application scenarios, providing guidance for researchers in this area.
Recent Advances in New-Generation Electrolytes for Sodium-Ion Batteries
Authors: Karahan Toprakci Hatice Aylin , Toprakci Ozan
Published: March 2023

Sodium-ion batteries (SIBs) are one of the recent trends in energy storage systems due to their promising properties, the high abundance of sodium in the Earth’s crust, and their low cost. However, the commercialization process of SIBs is in the early stages of development because of some challenges related to electrodes and electrolytes. Electrolytes are vital components of secondary batteries because they determine anode/cathode performance; energy density; operating conditions (electrochemical stability window, open circuit voltage, current rate, etc.); cyclic properties; electrochemical, thermal, mechanical, and dimensional stability; safety level; and the service life of the system. The performance of the battery is based on the structural, morphological, electrical, and electrochemical properties of the electrolytes. In this review, electrolytes used for SIBs are classified according to their state and material, including liquid, quasi-solid, solid, and hybrid, and recent advances in electrolyte research have been presented by considering their contributions and limitations. Additionally, future trends and recent cutting-edge research are highlighted.
Study of the Heat Exchange and Relaxation Conditions of Residual Stresses Due to Welding of Austenitic Stainless Steel
Authors: Djeloud Hamza , Moussaoui Mustafa , Kouider Rahmani , Al-Kassir Awf , Carrasco-Amador Juan Pablo
Published: March 2023

The present study presents a numerical prediction of residual stresses (RS) using the single-pass tungsten inert gas (TIG) welding process for stainless steel plates and the two-pass TIG welding process for stainless steel pipes. The effect of heat exchange between welding material and the environment was studied. The work consists of two parts: The first one is based on the determination of the existence of residual stresses numerically using Cast3M software, which has been validated by literature results. The second part addresses the means envisaged to attenuate the amplitudes of these residual stresses by practical methods. Two parameters with significant influence on the residual stresses have been chosen: the welding bead thickness and the torch displacement speed. The finite element model used has been validated experimentally, and the results obtained for the residual stresses have been compared with those given by the numerical study. The results obtained were found to be in agreement with references results. In addition, the microstructural analysis of different areas after welding of the solder joint (base metal, heat-affected zone and solder zone) was carried out using optical microscopy analysis.
Renewable Scenario Generation Based on the Hybrid Genetic Algorithm with Variable Chromosome Length
Authors: Liu Xiaoming , Wang Liang , Cao Yongji , Ma Ruicong , Wang Yao , Li Changgang , Liu Rui , Zou Shihao
Published: March 2023

Determining the operation scenarios of renewable energies is important for power system dispatching. This paper proposes a renewable scenario generation method based on the hybrid genetic algorithm with variable chromosome length (HGAVCL). The discrete wavelet transform (DWT) is used to divide the original data into linear and fluctuant parts according to the length of time scales. The HGAVCL is designed to optimally divide the linear part into different time sections. Additionally, each time section is described by the autoregressive integrated moving average (ARIMA) model. With the consideration of temporal correlation, the Copula joint probability density function is established to model the fluctuant part. Based on the attained ARIMA model and joint probability density function, a number of data are generated by the Monte Carlo method, and the time autocorrelation, average offset rate, and climbing similarity indexes are established to assess the data quality of generated scenarios. A case study is conducted to verify the effectiveness of the proposed approach. The calculated time autocorrelation, average offset rate, and climbing similarity are 0.0515, 0.0396, and 0.9035, respectively, which shows the superior performance of the proposed approach.
Nuclear Waste Disposal
Authors: Ojovan Michael I.
Published: March 2023

Nuclear waste (like radioactive waste) is waste that contains, or is contaminated with, radionuclides, at activity concentrations greater than clearance levels set by the regulators, beyond which no further use is foreseen. Disposal is the emplacement of waste in an appropriate facility without the intention to retrieve it.
Wavefunction Collapse Broadens Molecular Spectrum
Authors: Lebedev-Stepanov Peter
Published: March 2023

Spectral lines in the optical spectra of atoms, molecules, and other quantum systems are characterized by a range of frequencies ω or a range of wavelengths λ=2πc/ω, where c is the speed of light. Such a frequency or wavelength range is called the width of the spectral lines (linewidth). It is influenced by many specific factors. Thermal motion of the molecules results in broadening of the lines as a result of the Doppler effect (thermal broadening) and by their collisions (pressure broadening). The electric fields of neighboring molecules lead to Stark broadening. The linewidth to be considered here is the so-called parametric broadening (PB) of spectral lines in the optical spectrum. PB can be considered the fundamental type of broadening of the electronic vibrational–rotational (rovibronic) transitions in a molecule, which is the direct manifestation of the basic concept of the collapse of a wavefunction that is postulated by the Copenhagen interpretation of quantum mechanics. Thus, that concept appears to be not only valid but is also useful for predicting physically observable phenomena.
Investigating Factors Influencing Rolling Shear Performance of Australian CLT Feedstock
Authors: Kumar Chandan , Faircloth Adam , Shanks Jon , McGavin Robert L. , Li Xin , Ashraf Mahmud , Subhani Mahbube
Published: March 2023

This paper presents an investigation on the influence of various factors on rolling shear (RS) properties of timber feedstock for cross laminated timber (CLT) available from Australian plantation forest resources. Comparison of RS properties between three softwood species namely southern pine, radiata pine and hoop pine are presented. Furthermore, the effect of modulus of elasticity (MOE), equilibrium moisture content (EMC), aspect ratio, knots and projection length on rolling shear behaviour were investigated. Mean RS modulus for radiata pine, southern pine and hoop pine samples were 74.7 MPa, 87.1 MPa and 99.7 MPa, whilst the RS strength of those species were 2.6 MPa, 3.1 MPa and 3.7 MPa, respectively. Radiata pine samples exhibited the lowest values for RS modulus and strength, almost 30% less than those of hoop pine samples. The study confirmed that the density and MOE had a very weak correlation with RS properties for all pine species. There was an obvious decrease in RS modulus (by 18%) when the woods’ conditioned EMC changed from 8% to 12%. A further 33% decrease was observed when the woods’ conditioned EMC increased from 12% to 16%. However, the percentage increase in RS strength was found to be 23% higher in wood with 12% conditioned EMC while compared against wood conditioned to 16% EMC. RS strength improved with increased aspect ratio; however, RS modulus remained almost unaffected. Moreover, the projection length that resulted in the load passing through the centroid of the specimen resulted in lower RS modulus values, but the presence of knots improved both RS strength and modulus for all three tested species.
Effects of Tree Functional Traits on Soil Respiration in Tropical Forest Plantations
Authors: Ontong Natthapong , Poolsiri Roongreang , Diloksumpun Sapit , Staporn Duriya , Jenke Michael
Published: March 2023

Fast-growing tree species, including Eucalyptus sp. and Acacia sp., are widely used to rehabilitate degraded tropical forestland quickly, while mitigating climate change. However, the extent of carbon losses through soil respiration (RS) often remains unknown. Moreover, the promotion of these non-native species has raised concerns over their impact on other ecosystem services, including N2-fixation-induced soil acidification and nutrient cycling. This study compared two non-native and native species, with one of each being N2-fixing, growing in 11-year-old monospecific plantations in NE Thailand. Hourly RS was measured monthly over one year and combined with stand characteristics, as well as soil microclimatic and chemical properties. Mixed-effects models were used to capture this hierarchical, diurnal, and seasonal dataset. RS rates were influenced by soil temperature and moisture following a parabolic relation, and negatively affected by acidity. Overall, RS varied significantly according to species-specific microclimates and productivity. Despite the high input of organic matter, non-native species failed to ameliorate extreme soil moisture or temperature; limiting microbial decomposition and reducing RS. Hopea odorata produced moderate levels of carbon sequestration, but maintained soil fertility. The choice of tree species can significantly affect carbon sequestration and storage, as well as nutrient cycling, and careful species selection could optimize these ecosystem services.
Evaluation of Moisture Performance of Tall Wood Building Envelope under Climate Change in Different Canadian Climatic Regions
Authors: Defo Maurice , Wang Lin , Lacasse Michael A. , Moore Travis V.
Published: March 2023

A study was realized to assess the effects of historical and projected future climates on the hygrothermal performance of cross-laminated timber wall assemblies in 12 Canadian cities belonging to several climate regions and zones and for two cladding and ventilation types. Water ingress in the wall assembly was supposed to be 1% wind-driven rain (WDR), and the airflow rate in the drainage cavity was calculated using local climate data. The hygrothermal simulation results showed that under the assumption of no deficiencies allowing wind-driven rain to enter into the wall (perfect wall), there is no risk of mold growth in the future for both claddings, either vented or ventilated. Under the assumption of high moisture loads (1% WDR), the mold growth risk could increase significantly in all climate regions and cities considered. However, in those cities located in the Cordillera and Prairie regions, the increase was not found to be problematic as the maximum mold growth remained under the acceptable level, whereas for cities located in coastal and southeastern regions, the increase in mold growth risk could be considerable. The impacts of cladding and ventilation types on the relative performance of the walls varied with city location.
Simulating SOC Dynamics under Different Temperature Regimes and FYM Addition in Bamboo Species Using RothC-Model
Authors: Kaushal Rajesh , Panwar Pankaj , Durai Jayaraman , Tomar Jag Mohan Singh , Mandal Debashis , Dogra Pradeep , Gupta Anand , Reza Selim , Singh Charan , Madhu Made
Published: March 2023

To assess the impact of bamboo plantations on soil organic carbon (SOC) under prevailing climatic conditions, increase in temperature and soil amendments, the Roth C model was used. RothC is a promising model for the estimation of SOC changes in different land use systems. In the present study, the RothC model was used to predict the dynamics of SOC in the plantation of seven bamboo species under a usual scenario: increase temperature by 1 °C and 2 °C and farm yard manure (FYM) addition. The result revealed that RothC fairly predicts the SOC. The root mean square error (RMSE) value varied from 0.74 to 3.2 among seven bamboo species while comparing modeled and measured data. The increase in temperature resulted in a decrease in SOC. The decrease in SOC varied from 0.46 to 5.96 per cent as compared to the usual scenario, and the extent of the decrease varied from species to species. Among all species, the application of 9 t ha−1 FYM was found appropriate for maintaining the initial SOC level during the initial stage of bamboo growth.
Study of Coded ALOHA with Multi-User Detection under Heavy-Tailed and Correlated Arrivals
Authors: Sousa-Vieira María E. , Fernández-Veiga Manuel
Published: March 2023

In this paper, we study via simulation the performance of irregular repetition slotted ALOHA under multi-packet detection and different patterns of the load process. On the one hand, we model the arrival process with a version of the M/G/∞ process able to exhibit a correlation structure decaying slowly in time. Given the independence among frames in frame-synchronous coded-slotted ALOHA (CSA), this variation should only take effect on frame-asynchronous CSA. On the other hand, we vary the marginal distribution of the arrival process using discrete versions of the Lognormal and Pareto distributions, with the objective of investigating the influence of the right tail. In this case, both techniques should be affected by the change, albeit to a different degree. Our results confirm these hypotheses and show that these factors must be taken into account when designing and analyzing these systems. In frameless operations, both the shape of the packet arrivals tail distribution and the existence of short-range and long-range correlations strongly impact the packet loss ratio and the average delay. Nevertheless, these effects emerge only weakly in the case of frame-aligned operations, because this enforces the system to introduce a delay in the newly arrived packets (until the beginning of the next frame), and implies that the backlog of accumulated packets is the key quantity for calculating the performance.
SSQLi: A Black-Box Adversarial Attack Method for SQL Injection Based on Reinforcement Learning
Authors: Guan Yuting , He Junjiang , Li Tao , Zhao Hui , Ma Baoqiang
Published: March 2023

SQL injection is a highly detrimental web attack technique that can result in significant data leakage and compromise system integrity. To counteract the harm caused by such attacks, researchers have devoted much attention to the examination of SQL injection detection techniques, which have progressed from traditional signature-based detection methods to machine- and deep-learning-based detection models. These detection techniques have demonstrated promising results on existing datasets; however, most studies have overlooked the impact of adversarial attacks, particularly black-box adversarial attacks, on detection methods. This study addressed the shortcomings of current SQL injection detection techniques and proposed a reinforcement-learning-based black-box adversarial attack method. The proposal included an innovative vector transformation approach for the original SQL injection payload, a comprehensive attack-rule matrix, and a reinforcement-learning-based method for the adaptive generation of adversarial examples. Our approach was evaluated on existing web application firewalls (WAF) and detection models based on machine- and deep-learning methods, and the generated adversarial examples successfully bypassed the detection method at a rate of up to 97.39%. Furthermore, there was a substantial decrease in the detection accuracy of the model after multiple attacks had been carried out on the detection model via the adversarial examples.