bluuebunny/crossref_metadata_2025 huggingface dataset:
Study on Characteristics and Control of Aerodynamic Noise of a High-Speed Centrifugal Air Compressor for Vehicle Fuel Cells
Authors: Sun Shizhong , Xing Ziwen , Chen Wenqing , Zhou Minglong , Wang Chuang , Cui Hanyang
Published: October 2022

As the main noise source in the hydrogen fuel cell system, the noise level of the centrifugal air compressor greatly affects the comfort of the hydrogen fuel cell vehicle. For reducing the noise level of centrifugal air compressors, the noise characteristics and control of a high-speed two-stage compressor prototype are studied in this paper. Firstly, the near-field noise measurement, along with the independent component analysis, is carried out to identify the noise source of the developed compressor. Results showed that the “buzz-saw” noise at the rotating fundamental frequency and its low order harmonic frequency in the aerodynamic noise is prominent in the noise spectrum. Thus, the aerodynamic noise characteristics are predicted and analyzed using the CFD–BEM coupling aeroacoustic calculation model. Based on the analysis results, a noise control method coupling the structure optimization and perforated muffler is proposed. The results show that the sound pressure level of the air compressor at 1 m away from the surface is reduced by 4.1 dBA after the structural optimization. A perforated muffler applied in the pipe system of the air compressor can accomplish a reduction of 5.8 dBA in the sound pressure level of the air compressor by impeding the noise transmission on the path. With the coupled noise control methods above, the sound pressure level of the air compressor is reduced from 78.8 dBA to 68.9 dBA under the rated condition.
Surface Settlement during Tunneling: Field Observation Analysis
Authors: Ter-Martirosyan Armen Z. , Cherkesov Rustam H. , Isaev Ilya O. , Shishkina Victoria V.
Published: October 2022

We address the effect of three groups of factors on supplementary ground surface displacements during tunnel construction. The first group of factors includes the engineering and geological properties of the massif in which the tunneling is conducted; the second group includes the structural features of the designed tunnels and surrounding buildings, and the third group includes the engineering parameters of the tunneling process. The research takes advantage of the geotechnical monitoring data obtained during the construction of underground facilities and the engineering parameters of shield tunneling during construction of single- and double-track Moscow underground lines by using EPB (earth pressure balance)–TBM (tunnel boring machines) in different soils. The dependence of additional displacements, occurring above the designed tunnel, on the TBM pressure, is addressed in detail. The presence of a close interdependence is evidenced by a correlation coefficient equal to 0.77. No dependence of the settlement on the diameter or depth of the designed tunnel, the distance from the tunnel axis to the monitored object, the loading that comes from a building in the affected area, or the boring rate was identified. The consideration of this parameter can be used to predict the soil displacement around the tunnel at construction facilities having similar geological profiles and boring parameters.
Characterization of Escherichia coli Cefotaxime-Resistance in Al-Ahsa, KSA: Predominance of CTX-15 and First Report of blaCMY-42 Gene
Authors: Aissa Melek Ben , Ferjani Sana , Abassi Mohamed Salah , Al-Suwailem Nada , Boutiba Ilhem
Published: October 2022

We determined an antibiotic resistance mechanism in the eastern region, KSA, and the genetic factor clonal relatedness within Gram-negative bacteria. During our retrospective study, a total number of 29 E. coli ESBL producer strains were isolated for patients visiting King Fahad Hospital, Al-Ahsa, KSA. The bla genes were detected via PCR and identified via sequencing. Associated plasmid-mediated quinolone resistance genes, as well as int1 and int2 genes, were also studied. Phylogenetic groups, the ST131 clone, virulence factors, and PFGE were also checked. The blaCTX-M-9 (3.7%), blaCTX-M-27 (22.2%), and blaCTX-M-15 (77.8%) genes were identified; however, the blaCMY-42 (7.4%) gene was recorded for the first time in KSA. The qnrS1 gene was found in 44.4% of strains, and among them, 50% concomitantly harbored the aac(6′)Ib-cr. The int1 gene was detected in 25.9% strains; nonetheless, the int2 gene was found in 7.4% of isolates. The strains belonged mainly to the B2 and D phylogroups. PFGE showed unrelated patterns. Some isolates belonged to the pandemic clone ST131. We describe a large dissemination of antibiotic resistance to third-generation cephalosporins in the eastern region, KSA, with the occurrence of the blaCMY-42 gene. The clone ST131 seems to be the principal contributor for blaCTX-M-15 gene spread.
Assessment of the Possibility of Using Poppy Seed Cake for the Production of Oat Cookies
Authors: Blicharz-Kania Agata , Starek-Wójcicka Agnieszka , Andrejko Dariusz
Published: October 2022

The aim of the study was to investigate the properties of oat cookies fortified with poppy seed cake. The modification of the recipe and the supplementation with the by-product improved the nutritional value and maintained the overall sensory acceptability of the analyzed material. An increase in the amount of the poppy seed cake formulation (up to 15%) was accompanied by significant increases in the contents of individual components: protein (from 12.43 to 14.09%), fat (from 6.34 to 6.98%), and crude fiber (from 2.32 to 3.62%) compared to the control sample. In turn, the moisture level (from 34.8 to 32.86%) and the content of soluble sugars (from 18.7 to 16.15%) decreased. The addition of the poppy seed cake changed the texture properties of the product. Oat cakes supplemented with poppy seed cake were characterized by higher hardness and chewiness values and lower cohesiveness. The aroma and palatability of the product achieved greater acceptability with increasing amounts of poppy seed cake, whereas an opposite tendency was observed for changes in the appearance and texture of the modified oat cookies. The highest sensory rates were achieved by the sample containing 10% poppy seed cake. Cookies produced according to this recipe are recommended for industrial production (their texture and sensory properties are appropriate, and they contain polyphenols, flavonoids, and significant amounts of protein and crude fiber).
Nanoparticles Based-Plant Protein Containing Rosmarinus officinalis Essential Oil; Fabrication, Characterization, and Evaluation
Authors: Angourani Hossein Rabbi , Heydari Moslem , Yousefi Ali Reza , Pashaei Babak , Mastinu Andrea
Published: October 2022

The toxicity risks, instability of essential oil, and complex composition are principal obstacles to using essential plant oil for clinical applications. Solving stability-related problems, providing targeted drug delivery, and decreasing plant essential oil toxicity, encapsulation can be used successfully. Rosemary (Rosmarinus officinalis) is a perennial plant of the Lamiaceae family with various healing properties. However, the rosemary essential oil, as volatile oil, is fast evaporated, which limits its applications. This study’s goal is to boost the prevent evaporation and bioactivity of rosemary essential oil by developing zein-NPs as a promising NDS (nano-drug-delivery system) and assessing the effect of NPs on the rosemary essential oil efficacy. Scanning electron microscopy (SEM) showed NPs sizes between 70–200 nm. With dynamic light scattering analysis (DLS), the average size of zein nanoparticle-containing rosemary essential oil (NPZLA) was obtained at ca. 154.5 nm. The entrapment efficiency (EE) on rosemary essential oil was ca. 71% inside the zein NPs. The in vitro release suggests that the polymeric barrier can control the rosemary essential oil release. Zein-NPs can be potentially used as NC (nanocarrier) for enhancing the evaporation inhibitor of ether oil of rosemary essential oil to enhance its bioavailability and performance further. It can be concluded that rosemary plant can be used as the core inside the nanoparticle by biological production method due to its medicinal properties and other properties. Based on the stated content, it is clear that in the future, by conducting more extensive research, the necessary platform can be provided for the use of this medicinal plant as much as possible in the pharmaceutical industry.
New Strategies for Potential Contrast Agents’ Synthons Highly Active to MRI Based on Gd3+, Eu3+, and Tb3+
Authors: Guzmán Carlos , Soria-Martínez Rubén , Urresta Julián
Published: October 2022

The library of new smart contrast agents based on Gd3+, Eu3+, and Tb3+ used as biomarkers is in continuous development due to its applications in diagnostic imaging. The search for safer and more efficient contrast agents has focused on the design of compounds that exhibit high relaxivity. Herein, we present alternative synthetic strategies for the development of theoretically high-relaxivity synthons based on lanthanides using the Solomon–Bloembergen–Morgan equations through click chemistry and direct addition. Special attention has been devoted to the analysis of the different aspects interfering with the successful acquisition of these complexes and their troubleshooting during their synthesis. Our preliminary results showed that not only the mathematical background needs to be considered, but also the synthetic strategy and the use of procedures free of metallic ions favor the total synthesis of these challenging complexes.
Distribution of Diatom Resting Stages in Sediment near Artificial Reefs Deployed in the Dysphotic Zone: Exploration of New Artificial Reef Function
Authors: Matsumoto Takuma , Sudo Kenya , Ishii Ken-Ichiro , Imura Ayako , Inaba Nobuharu
Published: October 2022

Artificial reefs (ARs) have multiple beneficial effects involved in increased fishery production. The present study investigated diatom resting stages in the sediments near ARs at a depth of about 90 m by the combined use of direct microscopic observation and the MPN method, seeking a novel function of AR deployment that potentially increases biological production. Although the concentration of diatom resting stages at A2 (north end station of the AR area), composed mainly of Chaetoceros, was ten times the concentration at A5 (non-reef station), the concentration at A1 (south end station of the AR area) was the same level as at A5. These results suggest that the AR contributes to the accumulation of diatom resting stages while the degree of accumulation is attributed to the arrangement of ARs and their physical environment such as flow directions. Interestingly, live pennate diatoms possessing photosynthetic pigments were constantly observed in all samples despite the low light intensity (≤1.2 µmol photons m−2 s−1), which provides new ecological insight into their biological and physiological characteristics. In this study, the distribution of viable diatom resting stages and live pennate diatoms in the sediment around ARs in a dysphotic zone was revealed for the first time, casting a light on the novel function of ARs potentially enhancing primary production around them.
A Conceptual Framework for Designing Virtual Environments for Stress Therapy
Authors: Zaharuddin Farhah Amaliya , Ibrahim Nazrita , Yusof Azmi Mohd
Published: October 2022

Virtual reality for stress therapy has been shown to be effective in reducing stress. However, the majority of the existing studies have only focused on investigating the effectiveness of virtual reality application as a stress reduction tool. Limited information was communicated on how the virtual environments used were designed. Existing design frameworks which may potentially be used as a reference turned out to be providing general guidelines and were not specifically developed for designing a virtual environment for stress therapy. The frameworks were also found to focus on either improving psychological well-being or virtual reality design respectively. To address the identified gap, this study proposed a framework for designing virtual environments for stress therapy. The framework incorporates design requirements from a psychological and information technology point of view. In addition, the framework also highlights the design elements that were specifically needed to design a virtual environment to reduce stress. This paper hence describes the framework and discusses the framework evaluation. Four methods, including (i) questionnaire, (ii) physiological measures, (iii) experiment and (iv) interview were used to evaluate the (i) effectiveness, (ii) usability, (iii) ease of use and (iv) usefulness of the system that implemented the concept of the framework in reducing stress. In addition, the methods were also used to assess the usefulness of the design elements listed in the framework to reduce stress. The results of the evaluation indicated that the system was (i) effective, (ii) usable, (iii) useful and (iv) easy to use to reduce stress. The results also showed that the proposed design elements were useful in aiding the stress-reduction process. As all the results returned positive findings, the framework was thus considered appropriate and suitable to be used as a guideline for designing virtual environments for stress therapy.
Research on the Influence of Impedance-Layer Changes on the Protective Properties of Wave-Impedance Materials under Hypervelocity Impact
Authors: Yu Zhaoji , Wu Qiang , Yang Lun , Ma Yunzhu , Gong Zizheng , Liu Wensheng
Published: October 2022

The hypervelocity impact of space debris causes damage or destruction to spacecraft. The continuous damage caused by space debris creates greater requirements for protective materials. Wave-impedance gradient-protection material is a new type of space-debris-protection material with high kinetic-energy dissipation. However, the relationship between the distribution characteristics of the impedance layer and the protective performance is still unclear. This study provides guidance for the design of high-performance wave-impedance gradient materials by establishing the quantitative relationship between impedance-layer distribution characteristics and protective performance. Based on the one-dimensional shock-wave theory, this paper analyzes the propagation process of shock waves in wave-impedance gradient materials, establishes a transmission model of shock waves with changes in impedance layers, and quantitatively studies the influence of the change in wave impedance on the impact pressure, internal-energy conversion, and projectile- breaking characteristics by means of a numerical simulation. The results show that, when the surface and back of the wave-impedance gradient material are titanium alloy and nylon, respectively, the total transmission coefficient increases from 0.206 to a maximum of 0.339 with the continuous change in the gradient. The reduction amplitude of the shock wave with time under the three working conditions is Ti-Al-Mg-Ny > Ti-Al-Ny > Ti-Ny. The relationship of the transformed internal energy is Ti Al-Mg-Ny > Ti-Al-Ny > Ti-Ny, and the projectile breaking area is Ti-Al-Mg-Ny > Ti-Al-Ny > Ti-Ny. The analysis shows that the continuous change in wave impedance is beneficial to reduce the attenuation of the amplitude of the shock wave in the hypervelocity projectile, to keep the stress amplitude of the shock wave at a higher level, and to improve the internal-energy conversion and impact-breaking degree of the projectile, thereby enhancing the protection performance of the wave-impedance gradient material.
Utility of Features in a Natural-Language-Processing-Based Clinical De-Identification Model Using Radiology Reports for Advanced NSCLC Patients
Authors: Paul Tanmoy , Islam Humayera , Singh Nitesh , Jampani Yaswitha , Kotapati Teja Venkat Pavan , Tautam Preethi Aishwarya , Rana Md Kamruz Zaman , Mandhadi Vasanthi , Sharma Vishakha , Barnes Michael , Hammer Richard D. , Mosa Abu Saleh Mohammad
Published: October 2022

The de-identification of clinical reports is essential to protect the confidentiality of patients. The natural-language-processing-based named entity recognition (NER) model is a widely used technique of automatic clinical de-identification. The performance of such a machine learning model relies largely on the proper selection of features. The objective of this study was to investigate the utility of various features in a conditional-random-field (CRF)-based NER model. Natural language processing (NLP) toolkits were used to annotate the protected health information (PHI) from a total of 10,239 radiology reports that were divided into seven types. Multiple features were extracted by the toolkit and the NER models were built using these features and their combinations. A total of 10 features were extracted and the performance of the models was evaluated based on their precision, recall, and F1-score. The best-performing features were n-gram, prefix-suffix, word embedding, and word shape. These features outperformed others across all types of reports. The dataset we used was large in volume and divided into multiple types of reports. Such a diverse dataset made sure that the results were not subject to a small number of structured texts from where a machine learning model can easily learn the features. The manual de-identification of large-scale clinical reports is impractical. This study helps to identify the best-performing features for building an NER model for automatic de-identification from a wide array of features mentioned in the literature.
Investigation on the Combustion and Emission Characteristics in a Diesel Engine Fueled with Diesel-Ethanol Blends
Authors: Yoon Sam Ki
Published: October 2022

The aim of this work is to investigate the effects of different diesel–bioethanol blended fuels on combustion, engine performance, and emission characteristics in a four-cylinder common rail direct injection (CRDI) diesel engine according to various engine loads. Combustion characteristics including in-cylinder pressure, maximum in-cylinder pressure, heat release rate (HRR), and maximum HRR; engine performance including brake specific fuel consumption (BSFC); and emission characteristics including carbon monoxide (CO), hydrocarbon (HC), nitrogen oxides (NOx), and smoke were compared and analyzed. The four test fuels were diesel (D100), 95% D100 blended with 5% ethanol by volume (D95E5), 90% D100 blended with 10% ethanol by volume (D90E10), and 85% D100 blended with 15% ethanol by volume (D85E15). The results indicated that the addition of ethanol had no great impact on the in-cylinder pressure and HRR, but it could significantly reduce CO, NOx, and smoke emissions. The only deficiency was that BSFC was increased to varying degrees with increase of ethanol due to its low heating value.
Chronology of Coastal Alluvial Deposits in The Ria de Coruña (NW Spain) Linked to the Upper Pleistocene Sea Level Regression
Authors: Arce-Chamorro Carlos , Sanjurjo-Sánchez Jorge , Vidal-Romaní Juan Ramón
Published: October 2022

The Ria de Coruña (NW Spain) is a wide estuary recently formed by the flooding of the Mero fluvial valley lowlands during the last postglacial transgression. During the last glacial episode, with the sea level located more than 100 m below the current one, the final section of the Mero river and lateral tributaries contributed numerous deposits that the postglacial rise in sea level has partially flooded. Until now, the presence of these alluvial deposits disconnected from the main network by the Holocene marine transgression had been misinterpreted, especially for lack of an absolute chronology that would place them in an adequate paleoclimatic context. For the first time, a deposition age was assessed in this work by optically stimulated luminescence (OSL) dating back from 128 ka to 51 ka.
Changes in Selected Quality Indices in Microbially Fermented Commercial Almond and Oat Drinks
Authors: Dąbrowski Grzegorz , Paulauskienė Aurelija , Baltušnikienė Aldona , Kłębukowska Lucyna , Czaplicki Sylwester , Konopka Iwona
Published: October 2022

(1) Background: Interest in plant analogues for food of animal origin is increasing. There are some pro-healthy food ingredients, such as odd-chain, cyclic, and branched fatty acids, that are perceived to be characteristic for food of animal origin or fermented. The purpose of the present study was to determine whether commercial plant drinks can be valuable nutrient mediums for the multiplication of lactic acid bacteria and yeasts. The goal was also to determine their potential for the production of the above-mentioned groups of fatty acids; (2) Methods: Commercial almond and oat beverages were used to produce 16 new variants of fermented beverages using 3 strains of lactic acid bacteria and 5 strains of yeasts. The apparent viscosity, volatile compounds (e-nose), and fatty acids composition (GC-MS) were analyzed; (3) Results: After 48 h of fermentation, acidity increased in both types of drinks. The gelation of proteins in the majority of the almond beverages increased the apparent viscosity. The highest content of minor fatty acids was determined in oat beverages fermented by Lactiplantibacillus plantarum PK 1.1 and Kluyveromyces marxianus KF 0001 and in the almond beverage fermented by Candida lipolytica CLP 0001. Among the used strains, Yarrowia lipolytica YLP 0001 was found to be a major producer of aromas in both beverages.
Study of Energy Evolution Law and Damage Characteristics during Uniaxial Cyclic Loading and Unloading of Sandstone
Authors: Zhong Peng , Li Jiachun , Zhou Xiuwu , Xiao Heng , Yue Shuaishuai , Zhang Pengyu , Wang Yikai
Published: October 2022

Using the rock mechanics test (RMT) and acoustic emission acquisition system (DS9), based on the energy principle, uniaxial compression, uniaxial cyclic loading, and unloading tests are used to study the energy transformation characteristics of the process of sandstone absorbing axial strain energy, accumulating and releasing elastic strain energy, plastic deformation, and crack extension dissipation energy. The study results show the increase of loading rate, rock fracture surface increases, number of fragments increases, and size of fragments decreases; the sandstone damage process causes: shear damage to tensile shear damage and then splitting damage for change; the input energy and elastic energy increase nonlinearly with an increase of stress, and the dissipative energy is larger at the beginning of loading. After a small decrease, it enters the nonlinear growth stage, and the input energy density grows the fastest. The elastic energy density is the second fastest, and the dissipative energy density grows the slowest; with an increase of loading rate, in any deformation stage, the elastic energy density and dissipation energy density are increased, proportion of elastic energy density is decreased, and proportion of dissipation energy density is increased. Near the peak stress stage, the proportion of elastic energy decreases, and the proportion of dissipative energy increases; the damage variable stress curve of sandstone is “weakly concave”, which is consistent with the logistic function, and the damage evolution process has chaotic dynamics properties; the acoustic emission energy of sandstone in cyclic loading and unloading test has a similar variation with the theoretical calculation of dissipated energy. The cumulative energy curve shows a step-up law, and the stress corresponding to the step point is near the historical maximum stress.
Developing Predictive Models of Collapse Settlement and Coefficient of Stress Release of Sandy-Gravel Soil via Evolutionary Polynomial Regression
Authors: Ghanizadeh Ali Reza , Delaram Ali , Fakharian Pouyan , Armaghani Danial Jahed
Published: October 2022

The collapse settlement of granular soil, which brings about considerable deformations, is an important issue in geotechnical engineering. Several factors are involved in this phenomenon, which makes it difficult to predict. The present study aimed to develop a model to predict the collapse settlement and coefficient of stress release of sandy gravel soil through evolutionary polynomial regression (EPR). To achieve this, a dataset containing 180 records obtained from a large-scale direct shear test was used. In this study, five models were developed with the secant hyperbolic, tangent hyperbolic, natural logarithm, exponential, and sinusoidal inner functions. Using sand content (SC), normal stress (σn), shear stress level (SL), and relative density (Dr) values, the models can predict the collapse settlement (∆H) and coefficient of stress release (CSR). The results indicated that the models developed with the exponential functions were the best models. With these models, the values of R2 for training, testing, and all data in the prediction of collapse settlement were 0.9759, 0.9759, and 0.9757, respectively, and the values of R2 in predicting the coefficient of stress release were 0.9833, 0.9820, and 0.9833, respectively. The sensitivity analysis also revealed that the sand content (SC) and relative density (Dr) parameters had the highest and lowest degrees of importance in predicting collapse settlement. In contrast, the Dr and SC parameters showed the highest and lowest degrees of importance in predicting the coefficient of stress release. Finally, the conducted parametric study showed that the developed models were in line with the results of previous studies.
A Novel Fault-Tolerant Approach for Dynamic Redundant Path Selection Service Migration in Vehicular Edge Computing
Authors: Zhao Jiale , Ma Yong , Xia Yunni , Dai Mengxuan , Chen Peng , Long Tingyan , Shao Shiyun , Li Fan , Li Yin , Zeng Feng
Published: October 2022

Vehicular Edge Computing (VEC) provides users with low-latency and highly responsive services by deploying Edge Servers (ESs) close to applications. In practice, vehicles are usually moving rapidly. To ensure the continuity of services, edge service migration technology is in high need, by which an application, infrastructure or any edge-hosted applications or services are not locked into a single vendor and allowed to shift between different edge resource vendors. Nevertheless, due to their complex and dynamic nature, real edge computing environments are error and fault prone and thus the reliability of edge service migrations can be easily compromised if the proactive measures are not taken to counter failures at different levels. In this paper, we propose a novel fault-tolerant approach for Dynamic Redundant Path Selection service migration (DRPS). The DRPS approach consists of path selection algorithm and service migration algorithm. The path selection algorithm is capable of evaluating time-varying failure rates of ESs by leveraging a sliding window-based model and identifying a set of service migration paths. The service migration algorithm incorporates resubmission and replication mechanisms as well and decides edge service migration schemes by choosing multiple redundant migration paths. We also conduct extensive simulations and show that our proposed method outperforms traditional solutions by 17.45%, 13.17%, and 7.22% in terms of ACT, TCR, and AFC, respectively.
Experimental Research on the Load Transfer Mechanism of Tie Plates for 400 km/h High-Speed Turnouts
Authors: Wang Pu , Sun Zhaoliang , Mu Zhongxin , Zhao Zhenhua , Wang Shuguo
Published: October 2022

Based on the research and development demand of the 400 km/h high-speed turnout, a new type of elastic iron tie plate based on stiffness optimization is proposed. The new elastic iron tie plate is expected to reduce the stiffness unevenness and effectively solve the problems in the use of existing elastic iron tie plates. However, the new plate uses rubber bosses instead of rubber washers. There are certain differences in the force transmission mechanism from the original tie plate because of the change in structure of the new tie plate. In this paper, a series of experiments are designed to quantitatively compare and analyze the overall stiffness characteristics of different tie-plate structures and the differences in bolt force transmission and distribution laws. The main conclusions are as follows. The laws of vertical load transfer and distribution in the new tie plate are remarkably different from those for the original tie plate because of the differences in their structures. Under the rated bolt torque, the force transferred to the upper surface of the tie plate through the rubber boss in the new tie plate is less than that in the original tie-plate structure by 5.18 kN in the assembled state. Further, the new structure also has lower tie plate precompression; hence, the influence on the stiffness characteristics of the tie plate is less than that in the original structure. However, the steel sleeve deflection in the new tie plate is greater than that in the original tie plate; that is, a larger proportion of the bolt preload force is borne by the steel sleeve, thus making the vulcanized rubber under the steel sleeve more vulnerable to shear damage. If put into actual use, the tie plate bolt torque will be somewhat different from the rated torque; because of the difference in the torques coupled with the different vertical load transfer mechanisms between the new and the original tie-plate structures, the precompression and the proportion of the bolt preload force borne by the steel sleeves of the two tie plates will also show different degrees of deviation corresponding to different deviations of the tie plate bolt torque. Therefore, the new tie plate structure needs to be further optimized to make the transfer mechanism of preload force of bolt as consistent with the original tie plate as possible. In addition, the vibration and deformation characteristics and long-term service performance of the new type of plate under the condition of vehicle passing will be studied through a small-scale field trial and systematic dynamic tests.
Life Cycle Carbon Emission Assessment of Building Refurbishment: A Case Study of Zero-Carbon Pavilion in Shanghai Yangpu Riverside
Authors: Li Boyang , Pan Yiqun , Li Linxue , Kong Mingshu
Published: October 2022

Life cycle building carbon assessment can promote the development of carbon emission reduction. The main difficulties in the process of assessment are the boundary selection and inventory collection, especially when carbon emission assessment is needed in the early stage of design and construction, or when the calculation relates to disposal and refurbishment. It is significant to make full and rational use of design documents, standard documents, and related software. This paper focuses on the life cycle carbon emission assessment of building refurbishment. It explores the carbon emission assessment methodologies and procedures in every phase of the building life cycle, taking a zero-carbon pavilion refurbishment project as a case study. This case study is located in the Shanghai Yangpu Riverside Park, refurbished from an existing hydrologic monitoring building. The carbon emission reduction potential of renovation and the solar photovoltaic system applied in the building are analyzed. The data was collected referring to architectural design documents and related standards. The energy consumption during the operational phase is simulated using DesignBuilder. The life-cycle carbon emission per floor area of the existing building renovation scenario is 2.39 t, and the new building scenario is 2.69 t, which are both at a low level among other cases. The refurbished existing building saves nearly one-third of the carbon dioxide emissions during the construction phase compared to new construction. The application of a photovoltaic system also saves one-third of energy consumption and carbon emissions during the operational phase.
Confocal Laser Endomicroscopy for Bladder Cancer Detection: Where Do We Stand?
Authors: Naselli Angelo , Guarneri Andrea , Pirola Giacomo Maria
Published: October 2022

Introduction: Confocal laser endomicroscopy (CLE) is a relatively new technology that allows for a real-time in situ microscopic characterization of tissue lesions, being able to discriminate between low- and high-grade ones. After a first period of slow diffusion caused by technological limitations and elevated costs, CLE applications are rapidly spreading in different branches of medicine, and there is mounting evidence of its advantages for the management of different tumors such as bladder cancer (BCa), from both a diagnostic and a clinical point of view. In this systematic review (SR), we evaluate the state-of-the-art CLE for BCa management. Material and methods: We performed an SR and quality assessment analysis of the current literature in this regard following the PRISMA guidelines. All data were independently verified by two different authors and discrepancies were solved by a third author. Moreover, a quality-assessment analysis according to QUADAS-2 criteria was performed to evaluate the studies selected for SR. Results: A total of 158 articles were retrieved; of which 79 were rejected and 38 were removed as duplicates. After article selection, seven prospective studies were assessed for data extraction. These accounted for 214 patients overall, with a correspondence rate between CLE and histopathological examination ranging from 54.6 to 93.6%. Regarding quality assessment, three out five prospective studies have at least a high risk of bias in one QUADAS-2 domain, whereas the applicability always has a low risk of bias. Conclusion: Despite actual technical limitations, the preliminary results of this appealing technology are encouraging and should prompt further investigations.
Color Stains on Paper: Fungal Pigments, Synthetic Dyes and Their Hypothetical Removal by Enzymatic Approaches
Authors: Pavlović Jelena , Farkas Zuzana , Kraková Lucia , Pangallo Domenico
Published: October 2022

Fungi are the main contaminants of books and archival documents. In addition to their degrading power, offered by various types of lignolytic and cellulolytic enzymes, they can also hue the surface of the paper through the production of pigments. The fungi on paper release various types of pigments belonging mostly to two chemical groups (polyketides and carotenoids), which cause unpleasant anaesthetic stains. The paper surface can also be hued with several synthetic colors, which are part, for example, of stamps and inks. These synthetic colors could be degraded by lignin-modifying enzymes (LMEs) and also by dye-decolorizing peroxidases (DyPs). Therefore, the mechanism of action of LEMs and DyPs is illustrated. Moreover, we have examined the potentiality of LEMs and DyPs to remove the synthetic stains and also their hypothetical application in order to clean the fungal hues from the paper surface. Our review article, using the enzymatic removal parallelism between fungal and synthetic pigments, would like to show prospective solutions to this arduous problem.
A Star-Identification Algorithm Based on Global Multi-Triangle Voting
Authors: Yuan Xiaobin , Zhu Jingping , Zhu Kaijian , Li Xiaobin
Published: October 2022

A star-identification algorithm aimed at identifying imaged stars in a “lost in space” scene, named the global multi-triangle voting algorithm (GMTV), is presented in this paper. There are two core parts included in the proposed algorithm: in the initial match part, triangle feature units are treated as vote units to find the initial match relationship via matching vote units and counting the vote number of each catalog star. During this step, the principal component analysis (PCA) method is implemented to reduce feature dimensions, and a two-dimension lookup table and fuzzy match strategy are utilized to promote database searching efficiency and noise tolerance. After acquiring the initial match results, a verification part is implemented to filter potential errors from initial candidates by the largest cluster method and output the final identification results. The proposed algorithm achieves a 98.6% identification rate with 2.0 pixels position noise and exhibits more robustness to position noise, magnitude noise, and false stars of different levels than the two reference algorithms used in simulations. In addition, our algorithm’s real-time performance is better than reference algorithms, but it requires a larger database.
Deep Learning Model with Sequential Features for Malware Classification
Authors: Wu Xuan , Song Yafei , Hou Xiaoyi , Ma Zexuan , Chen Chen
Published: October 2022

Currently, malware shows an explosive growth trend. Demand for classifying malware is also increasing. The problem is the low accuracy of both malware detection and classification. From the static features of malicious families, a new deep learning method of TCN-BiGRU was proposed in this study, which combined temporal convolutional network (TCN) and bidirectional gated recurrent unit (BiGRU). First, we extracted the features of malware assembly code sequences and byte code sequences. Second, we shortened the opcode sequences by TCN to explore the features in the data and then used the BiGRU network to capture the opcode sequences in both directions to achieve deep extraction of the features of the opcode sequences. Finally, the fully connected and softmax layers were used to output predictions of the deep features. Multiple comparisons and ablation experiments demonstrated that the accuracy of malware detection and classification were effectively improved by our method. Our overall performance was 99.72% for samples comprising nine different classes, and our overall performance was 96.54% for samples comprising two different classes.
Magnetic Mallet and Laser for a Minimally Invasive Implantology: A Full Arch Case Report
Authors: Caccianiga Gianluigi , Ferri Lorenzo , Baldoni Marco , Bader Ayt Alla , Caccianiga Paolo
Published: October 2022

In the past, complex rehabilitations, such as the rehabilitation of an entire arch with a prosthesis on implants, were reserved for the few patients who presented an optimal state of health as the interventions were long and traumatic. Nowadays, the use of devices such as the Magnetic Mallet and the laser allows us to perform the same interventions in less time and in a minimally invasive way. The case report we present shows how a fragile patient, subjected to the insertion of eight implants on the same day, had a positive response, thanks to the use of a Magnetic Mallet to prepare the implant sites, the application of the photodynamic therapy without dye (diode laser + hydrogen peroxide) to decontaminate the post-extraction alveoli and the use of an erbium laser to induce more bone bleeding and promote healing. The implants were then loaded in 48 h with a Toronto-type temporary total prosthesis. The patient had a pain-free and complication-free outcome. It is interesting to note how technological development, aimed at reducing the morbidity of surgery, makes it possible to perform almost all surgical therapies, even the most advanced, on any patient, regardless of general health conditions.
Quantifying Emotions in Architectural Environments Using Biometrics
Authors: Kim Jeongmin , Kim Nayeon
Published: October 2022

This paper reviews studies that have quantified humans’ emotions in architectural environments using biometrics. We analyzed the design variables that induced positive emotions and compared the study conditions for each result, including the biometric tools utilized. The objective was to analyze the design characteristics of the architectural environment, biometric tools, and study conditions that measure emotional responses in design research, their limitations, and future uses of biometric devices. Twenty papers were selected using the preferred reporting items for systematic reviews and meta-analyses. The population, intervention, control, outcome, and setting study design were used as an analysis framework. The reviewed papers used biometric tools such as electroencephalography, functional near-infrared spectroscopy, functional magnetic resonance imaging, galvanic skin response, electromyography, electrocardiography, and eye-tracking to analyze emotions. Environmental factors that produce positive emotional responses in the architectural spaces included form, layout, material, color, furniture, and lighting. The findings from methodology using biometric tools have the potential to develop an evidence-based design to produce positive emotions in architectural environments that improve our mental health and well-being.
Development of a Machine Learning-Based Framework for Predicting Vessel Size Based on Container Capacity
Authors: Chatterjee Indranath , Cho Gyusung
Published: October 2022

Ports are important hubs in logistics and supply chain systems, where the majority of the available data is still not being fully exploited. Container throughput is the amount of work done by the TEU and the ability to handle containers at a minimal cost. This capacity of container throughput is the most important part of the scale of services, which is a crucial factor in selecting port terminals. At the port container terminal, it is necessary to allocate an appropriate number of available quay cranes to the berth before container ships arrive at the port container terminal. Predicting the size of a ship is especially important for calculating the number of quay cranes that should be allocated to ships that will eventually dock at the port terminal. Machine learning techniques are flexible tools for utilizing and unlocking the value of the data. In this paper, we used neighborhood component analysis as a tool for feature selection and state-of-the-art machine learning algorithms for multiclass classification. The paper proposes a novel two-stage approach for estimating and predicting vessel size based on container capacity. Our proposed approach revealed seven unique features of port data, which are the essential parameters for the identification of the vessel size. We obtained the highest average classification accuracy of 97.6% with the linear support vector machine classifier. This study paves a new direction for research in port logistics incorporating machine learning.
A Novel Technique for Temporarily Repair and Improvement of Damaged Pin Joint Support Bores
Authors: Karlsen Øyvind , Lemu Hirpa G. , Berkani Imad
Published: October 2022

Damaged support bores due to wear and ovality can be critical for a machine and its operation, in addition to representing a safety problem and risk of pin breakage. It can be a costly operation to perform the required repairs in between planned service periods, especially because of the unplanned down time. A joint with a standard cylindrical pin will often experience wear and ovality in the support bore surfaces, and at some point, repairs will have to be performed. This study investigates and compares five options when a joint with a cylindrical pin has reached a severe level of wear and ovality, outside its planned service stop. The work involved testing the viability of 3D scanning of the damaged bore surface, 3D printing of a metal bushing, and inserting the bushing into the damaged joint. In addition, two pin solutions, i.e., a standard cylindrical pin and an expanding pin type, were installed into the repaired joint, loaded, and the strain on the pin ends close to the supports was measured. For the sake of comparison, the supports had both smooth circular bore and severe wear and ovality. It was concluded that it is possible to produce and install the 3D-printed bushing insert without major problems; the insert had satisfactory capability during test loading, and it most probably represents a good solution when it comes to the reduction in unwanted downtime during unplanned repairs of damaged joints.
The Growth Medium Affects the Viability of IPEC-J2 Animal Cell Line in the Presence of Probiotic Bacteria
Authors: Lemay Marie-Josée , Raymond Yves , Champagne Claude P. , Brassard Julie
Published: October 2022

Background: The IPEC-J2 cell line is frequently used as an in vitro model to study the bioactivity of live probiotics. However, lactic acid bacteria (LB) acidify the medium, and the impact of pH and lactic acid accumulation on cell viability seem to be underestimated. Methods: IPEC-J2 viability was assessed by neutral red and flow cytometry in the presence of eight probiotics at concentrations between 106 and 109 bacteria/mL in maintenance and buffered media. Results: It was shown that a high inoculation level led to higher cytotoxic effects on IPEC-J2 cells after 22 h of incubation and that viability losses were more related to a combination of low pH and lactic acid than to the probiotics themselves. Furthermore, with LB at 106 and 107 bacteria/mL, the addition of phosphates to the media significantly reduced the drop in the pH and preserved the IPEC-J2 viability between 100% and 69%, compared to a highly variable viability between 100% and 17.5% in the unbuffered media. Conclusions: Under certain in vitro conditions, probiotics can lead to the deterioration of animal cells, and pH neutralization is an essential parameter in the cell–probiotic system in order to preserve cell viability and to better evaluate the bioactive properties of live probiotics.
What Is It about Art? A Discussion on Art.Intelligence.Machine.
Authors: Leymarie Frederic Fol , Simmons Seymour
Published: October 2022

The interrelationship among art, intelligence, and machine has important implications for the visual arts as part of a general education. Here, Frederic Fol Leymarie (FFL), a computer scientist and engineer at Goldsmiths College, and Seymour Simmons III (SS3), an artist and art educator from Winthrop University, South Carolina, discuss these issues and the value of sustained cross-disciplinary conversations in addressing challenges in the 21st century.
Realtime Calibration of an Industrial Robot
Authors: Asif Seemal , Webb Philip
Published: October 2022

In large scale, complex and low volume manufacturing systems, robotics are now considered unavoidable for automating the factory operations. The aerospace industry focuses on a high variety and quality but extremely low volume. The precision it requires for numerous tasks is unique and distinct from any other manufacturing industry. This can comprise accurate position, module assembly, inspection, fastening, etc. The scale of the robot invites different types of errors during operation, which can be either because of the kinematics of the robot or because of the environment (noise, temperature, load, etc.). There are packages available from robot manufacturers for the correction and compensation of errors on the robot to achieve accuracy. There are two associated problems: 1. cost and 2. static nature. They are very costly and they do not provide correction in realtime fashion (dynamic); the robot stops, waits for the correction, and then moves to the next position. The external tool to monitor the accuracy also requires attaching with the robot permanently. These are dedicated resources. These tools for accurate measurement are expensive and attached permanently to a robot, which means wastage of resources. These measuring tools are called metrology devices and attaching these devices and the robot to the network means that other robots/machines can also use these expensive tools for measurement. Our aim was to address two problems in this project: 1. calibration (error correction and compensation of robot) and 2. dynamic and realtime processing. It helped to perform the dynamic error correction and the compensation of an industrial robot. The results showed the error correction was achieved in the region of 0.02 mm.