bluuebunny/crossref_metadata_2025 huggingface dataset:
An Electricity Consumption Disaggregation Method for HVAC Terminal Units in Sub-Metered Buildings Based on CART Algorithm
Authors: Yang Xinyu , Ji Ying , Gu Jiefan , Niu Menghan
Published: April 2023

Obtaining reliable and detailed energy consumption information about building service (BS) systems is an essential prerequisite for identifying energy-saving potential and improving energy efficiency of a building. Therefore, in recent years, energy sub-metering systems have been widely implemented in public buildings in China. A majority of electrical systems and equipment can be directly metered. However, in actual sub-metering systems, the terminal units of heating, ventilation and air conditioning (HVAC) systems, such as fan coils, air handling units and so on, are often mixed with the lighting-plug circuit. This mismatch between theoretical sub-metering systems and actual electricity supply circuits constitutes a lot of challenges in BS system management and control optimization. This study proposed an indirect method to disaggregate the energy consumption of HVAC terminal units from mixed sub-metering data based on the CART algorithm. This method was demonstrated in two buildings in Shanghai. The case study results show that the weighted mean absolute percentage errors (WMAPE) are within 5% and 15% during working hours in the cooling and heating seasons, respectively.
Numerical Method for Creep Analysis of Strengthened Fatigue-Damaged Concrete Beams
Authors: Ding Yunfei , Fang Yan , Jin Weiliang , Zhang Jun , Li Bixiong , Mao Jianghong
Published: April 2023

Fatigue-damaged concrete improves the load-bearing capacity of components by increasing the cross section. However, the creep performance of damaged components after the repair has received less attention. Thus, this study establishes a constitutive creep model of strengthened fatigue-damaged concrete on the basis of damage mechanics and numerically simulates the strengthened component. The accuracy of the proposed model is verified by conducting creep tests on fatigue-damaged concrete beams. According to the numerical simulation results, increasing the section height profoundly affects the ability to control their creep deflection. The incremental creep deflection of the beams with a strengthened section height of 50, 100, and 150 mm loaded for 365 days decreased by 0.107, 0.228, and 0.326 mm, respectively, compared with the unstrengthened damaged beam. Moreover, this reinforcement method excellently controls the deflection of the damaged components under a negative bending moment. The model can forecast the creep deformation of undamaged components or damaged components after being strengthened, which facilitates structural maintenance and decision-making about reinforcement.
Mechanical Behavior of Two-Side Bolted Steel Plate Shear Wall Considering Top-Seat Constraints with Frame Beams
Authors: He Jianian , Fu Lei , Hu Jie , Lv Yanwei , Li Yicheng , Chen Shizhe
Published: April 2023

A steel plate shear wall (SPSW) is a useful component for resisting lateral action. To improve the performance of frame columns, some studies focus on a two-side connected SPSW, in which the wall plate is not connected with the frame columns. However, few studies conducted on a two-side connected SPSW consider the effect of frame constraints or the connections between the infill plates and frame beams. In this study, by using finite element modeling (FEM), two unstiffened SPSW models with two-side fixed connections and six unstiffened SPSW models with two-side bolt connections were simulated. Their performance under the presence of out-of-plane frame beam flange constraints and different numbers of bolts between the infill plates and frame beams was analyzed. The mechanical performances such as hysteretic behaviors, the capacity of energy dissipation and the out-of-plane deformation of the members were investigated by applying monotonic and cyclic loading. The results revealed that non-negligible deformation would be generated at the lateral border of the bolt connections and that the out-of-plane deformation of the frame could be significantly affected by constraints. These findings can guide the engineering design of SPSWs in the future.
Competencies Driving Waste Minimization during the Construction Phase of Buildings
Authors: Botchway Edward Ayebeng , Asare Samuel Senyah , Agyekum Kofi , Salgin Burcu , Pittri Hayford , Kumah Victoria Maame Afriyie , Dompey Annabel Morkporkpor Ami
Published: April 2023

It is thought that there is a low level of awareness of key competencies that drive material waste reduction at the construction stage of a project which has led to the low impact of waste minimization in the construction industry. This study, therefore, explores the key competencies for driving waste minimization at the construction stage of projects. Twenty-four (24) key factors that drive CW minimization at the construction stage of projects were derived from a thorough review of existing literature. The research adopted the quantitative approach whereby a questionnaire survey involving 53 construction professionals was conducted. Factor analysis was the statistical tool employed for the analysis of the data gathered. The findings of the study revealed four major competencies that drive CW minimization: Awareness Competency (AC), Managerial Competency (MC), Personnel Ability Competency (PAC), and Communication Competency (CC). The implementation of the key competencies from the findings of the study is highly recommended for the achievement of low waste in building projects. In view of this, it is recommended that government should enact legislative and fiscal measures to instill waste management habits in the construction industry. Several studies have investigated strategies or measures for CW minimization. However, this study focused on the knowledge and skills of construction stakeholders as the main component of waste minimization competencies.
Enhanced ANN Predictive Model for Composite Pipes Subjected to Low-Velocity Impact Loads
Authors: Ghandourah Emad , Khatir Samir , Banoqitah Essam Mohammed , Alhawsawi Abdulsalam Mohammed , Benaissa Brahim , Wahab Magd Abdel
Published: April 2023

This paper presents an enhanced artificial neural network (ANN) to predict the displacement in composite pipes impacted by a drop weight having different velocities. The impact response of fiber-reinforced polymer composite pipes depends on several factors including thickness, stacking sequence, and the number of layers. These factors were investigated in an earlier study using sensitivity analysis, and it was found that they had the most prominent effect on the impact resistance of the composite pipes. In this present study, composite pipes with a diameter of 54 mm are considered to explore the damages induced by low-velocity impact and the influence of these damages on their strength. To evaluate the effect of low-velocity, the pipes were exposed to impacts at different velocities of 1.5, 2, 2.5, and 3 m/s, and preliminary damage was initiated. Next, we used Jaya and E-Jaya algorithms to enhance the ANN algorithm for good training and prediction. The Jaya algorithm has a basic structure and needs only two requirements, namely, population size and terminal condition. Recently, Jaya algorithm has been widely utilized to solve various problems. Due to its single learning technique and limited population information, Jaya algorithm may quickly be trapped in local optima while addressing complicated optimization problems. For better prediction, an enhanced Jaya (E-Jaya) algorithm has been presented to enhance global searchability. In this study, ANN is enhanced based on the influential parameters using E-Jaya to test its effectiveness. The results showed the effectiveness of the E-Jaya algorithm for best training and prediction compared with the original algorithm.
Properties and Tensile Softening Laws of Hybrid Basalt Fiber Reinforced Recycled Aggregate Concrete
Authors: Shoaib Shahrukh , El-Hassan Hilal , El-Maaddawy Tamer
Published: April 2023

The performance of hybrid basalt fiber (BF)-reinforced concrete made with recycled concrete aggregates (RCAs) and dune sand as an eco-friendly construction material is examined. Test variables comprised the base concrete grade (normal- and high-strength concrete (NSC and HSC)), the hybrid BF volume fraction (νf = 1.0 and 1.5%), and the RCA replacement percentage (30, 60, and 100%). The workability of the concrete mixtures was evaluated via the slump test. The mechanical properties were assessed using compression, splitting tensile, and four-point flexural tests. The durability characteristics were examined using bulk resistivity and ultrasonic pulse velocity (UPV) tests. The addition of hybrid BFs was detrimental to the slump and compressive strength of the concrete mixtures. In contrast, improvements of up to 32 and 40% were recorded in the splitting and flexural strengths of NSC mixtures made with 30–100% RCA. The HSC mixtures exhibited respective improvements of up to 26 and 34% at RCA replacement percentages of 30–60%. The bulk resistivity and UPV values of NSC and HSC mixtures remained almost unaltered with the addition of hybrid BFs. New idealized tensile softening laws were developed for RCA–based concrete reinforced with hybrid BFs. The tensile softening laws were implemented into numerical models that simulated the flexural behavior of the tested concrete prisms with good accuracy.
Air-Stable Efficient Nickel Catalyst for Hydrogenation of Organic Compounds
Authors: Subotin Vladyslav V. , Ivanytsya Mykyta O. , Terebilenko Anastasiya V. , Yaremov Pavel S. , Pariiska Olena O. , Akimov Yuri M. , Kotenko Igor E. , Sabov Tomash M. , Kurmach Mykhailo M. , Ryabukhin Sergey V. , Volochnyuk Dmitriy M. , Kolotilov Sergey V.
Published: April 2023

A series of composites containing nanoparticles of NiO (from 1 to 10% by weight per Ni), deposited on NORIT charcoal, was prepared by the decomposition of the Ni0 complex Ni(cod)2 (cod = cis,cis-1,5-cyclooctadiene). Ni content in the composites was set by loading the appropriate quantities of the Ni(cod)2 precursor. The catalytic activity of the composites was associated with the in situ generation of active sites due to a reduction in NiO, hence the composites could be stored in air without a loss in their catalytic performance. The composites were analyzed by powder XRD, TEM, XPS, and adsorption methods. The hydrogenation of quinoline was used as a reference reaction for studies of the influence of temperature, P(H2), catalyst loading on the product yield, and for the selection of the composite possessing the highest performance. It was found that 3% Ni loading was the most optimal. This composite was used as an efficient catalyst for the hydrogenation of compounds with ethylene and acetylene bonds, nitro- and keto- groups as well as a series of substituted quinolines and analogs. The studied composites can be proposed as air-stable and efficient catalysts for the hydrogenation of a wide range of organic compounds.
Pt-Based Electrocatalyst Modified by CsH2PO4/SiP2O7 for Electrochemical Oxidation of NH3 to H2 in Solid Acid Electrolysis Cell
Authors: Kim Jihoon , Jang Daehee , Choi Junil , Maeng Junbeom , Shin Hyun Ho , Park Taiho , Kim Won Bae
Published: April 2023

Ammonia (NH3) has received much attention as a hydrogen carrier because it can be easily liquefied with a high hydrogen storage density and emits no greenhouse gas during the dihydrogen evolution process. The ammonia oxidation reaction (AOR) in an electrochemical system has an important merit in which a very high-purity dihydrogen gas can be obtained without an additional separation process that is typically needed for thermochemical decomposition processes. Herein, the electrochemical AOR was carried out in a solid acid electrolysis cell (SAEC) at an intermediate temperature around 250 °C, in which a solid composite of CsH2PO4 mixed with SiP2O7 was used as an electrolyte and Pt/C-based electrocatalysts were employed as the electrode materials of both anode and cathode. The Pt/C electrode material was modified with the CsH2PO4/SiP2O7 electrolyte in order to enhance the electrocatalytic activity for the AOR with an improved H2 production rate. Over the SAEC system reported here, a high AOR performance was obtained with a current density of 67.1 mA/cm2 and Faradaic efficiency (FE) of 98.2%. This study can suggest the significant potential of SAEC for the carbon-free H2 production from the selective electrochemical oxidation of NH3.
Asthma: The Use of Animal Models and Their Translational Utility
Authors: Woodrow Jane Seymour , Sheats M. Katie , Cooper Bethanie , Bayless Rosemary
Published: April 2023

Asthma is characterized by chronic lower airway inflammation that results in airway remodeling, which can lead to a permanent decrease in lung function. The pathophysiology driving the development of asthma is complex and heterogenous. Animal models have been and continue to be essential for the discovery of molecular pathways driving the pathophysiology of asthma and novel therapeutic approaches. Animal models of asthma may be induced or naturally occurring. Species used to study asthma include mouse, rat, guinea pig, cat, dog, sheep, horse, and nonhuman primate. Some of the aspects to consider when evaluating any of these asthma models are cost, labor, reagent availability, regulatory burden, relevance to natural disease in humans, type of lower airway inflammation, biological samples available for testing, and ultimately whether the model can answer the research question(s). This review aims to discuss the animal models most available for asthma investigation, with an emphasis on describing the inciting antigen/allergen, inflammatory response induced, and its translation to human asthma.
Comprehensive Analysis of BrHMPs Reveals Potential Roles in Abiotic Stress Tolerance and Pollen–Stigma Interaction in Brassica rapa
Authors: Yang Lin , Wu Xiaoyu , Liu Shangjia , Zhang Lina , Li Ting , Cao Yunyun , Duan Qiaohong
Published: April 2023

Heavy metal-associated proteins (HMPs) participate in heavy metal detoxification. Although HMPs have been identified in several plants, no studies to date have identified the HMPs in Brassica rapa (B. rapa). Here, we identified 85 potential HMPs in B. rapa by bioinformatic methods. The promoters of the identified genes contain many elements associated with stress responses, including response to abscisic acid, low-temperature, and methyl jasmonate. The expression levels of BrHMP14, BrHMP16, BrHMP32, BrHMP41, and BrHMP42 were upregulated under Cu2+, Cd2+, Zn2+, and Pb2+ stresses. BrHMP06, BrHMP30, and BrHMP41 were also significantly upregulated after drought treatment. The transcripts of BrHMP06 and BrHMP11 increased mostly under cold stress. After applying salt stress, the expression of BrHMP02, BrHMP16, and BrHMP78 was induced. We observed increased BrHMP36 expression during the self-incompatibility (SI) response and decreased expression in the compatible pollination (CP) response during pollen–stigma interactions. These changes in expression suggest functions for these genes in HMPs include participating in heavy metal transport, detoxification, and response to abiotic stresses, with the potential for functions in sexual reproduction. We found potential co-functional partners of these key players by protein–protein interaction (PPI) analysis and found that some of the predicted protein partners are known to be involved in corresponding stress responses. Finally, phosphorylation investigation revealed many phosphorylation sites in BrHMPs, suggesting post-translational modification may occur during the BrHMP-mediated stress response. This comprehensive analysis provides important clues for the study of the molecular mechanisms of BrHMP genes in B. rapa, especially for abiotic stress and pollen–stigma interactions.
Room Temperature UV-Activated NO2 and NO Detection by ZnO/rGO Composites
Authors: Platonov Vadim , Malinin Nikolai , Vasiliev Roman , Rumyantseva Marina
Published: April 2023

Nanocomposites, including nanoparticles of semiconductor metal oxide (MO) and reduced graphene oxide (rGO), are of exceptional interest for light-activated gas sensors functioning without thermal heating. In this paper, we discuss the sensor properties of electrospun ZnO nanofibers and ZnO/rGO composites. The materials were characterized by transmission and scanning electron microscopy (TEM, SEM), X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), and IR spectroscopy (FTIR). The sensor characteristics were studied when detecting reducing gases CO, H2, and NH3 and oxidizing gases NO and NO2 at 25–150 °C in dark conditions and under UV illumination. ZnO nanofibers and ZnO/rGO composites have no sensitivity when detecting CO, NH3, and H2 either in dark conditions or under UV illumination. At T = 25 °C, UV illumination is a necessary condition for the appearance of a sensor response when detecting both NO and NO2. The increased sensitivity of ZnO/rGO composites when detecting nitrogen oxides at T = 25 °C is discussed in terms of the heterojunction formation. Observed at T = 150 °C, opposite trends in the UV illumination influence on the sensor response toward NO and NO2 are due to the participation of chemisorbed oxygen in the processes responsible for the sensor response formation when detecting NO.
Changing Trends in Temperatures and Rainfalls in the Western Pacific: Guam
Authors: Yeo Myeong-Ho , Patil Ujwalkumar D. , Chang Adriana , King Romina
Published: April 2023

Pacific islands have always been at the front of the great challenge of climate change. In this study, Mann–Kendall’s tau-based slope estimator was implemented to detect statistical trends in daily maximum and minimum temperatures of 2 stations and daily rainfalls at 14 stations over Guam for the period of 1953–2021, respectively, with 17 climate change detection indices. Mann–Kendall tests were implemented to the detection indices with respect to different time frames (i.e., annual, two-seasonal, and four-seasonal). The p-values from Mann–Kendall tests were used to determine the strength of trends, and Sen’s slopes were applied for the magnitudes of trends. The temperature trend analysis results indicate that Guam’s climate is getting warmer year by year. The increasing magnitudes of a seasonal maximum of daily maximum temperatures during the dry season are 0.036 °C/year for the dry season and 0.025 °C/year for the wet season at Anderson Airforce Base, while 0.031 °C/year and 0.023 °C/year for the dry and wet seasons at Guam International Airport. Trend analyses for temperatures have indicated that temperature during April through June has been increasing rapidly compared to other seasons. Strong trends in seasonal total rainfall amounts and the number of wet days were observed from July through December. The increasing trends in extreme rainfall indices during January–March and July–September periods would aggravate water quality due to the more sediments since important ecological reserve areas and coral reef areas are linked to watersheds in southern Guam.
Dry Friction Properties of Friction Subsets and Angle Related to Surface Texture of Cemented Carbide by Femtosecond Laser Surface Texturing
Authors: Cheng Hang , Zhou Fang , Fei Zihao
Published: April 2023

This paper investigated the use of laser surface texturing (LST) to improve the tribological properties of YG6X cemented carbide. Three different spaced groove textures were processed on the surface of the YG6X carbide samples using a femtosecond laser. Friction experiments and friction simulations were performed under two friction subsets and two friction directions. The testing results showed that when the area density was 46%, the texture surface was beneficial when sliding against Si3N4, but not beneficial in reducing the coefficient of friction when sliding against Ti6Al4V titanium alloy. At area densities of 23% and 15.3%, the texture surface was beneficial when sliding against Si3N4, but not beneficial when sliding against the Ti6Al4V titanium alloy. When selecting the friction direction at 45° to the area density of 15.3%, the texture surface was not beneficial when sliding against the Si3N4 and Ti6Al4V titanium alloy. Sliding with Si3N4, the higher the stress value, the more easily the material was destroyed, leading to an elevated coefficient of friction and wear area. Sliding with Ti6Al4V titanium alloy, the higher the stress value of Ti6Al4V titanium alloy, the more easily the Ti6Al4V titanium alloy wore and generated a large number of abrasive chips.
Long COVID-19 Symptoms among Recovered Teachers in Israel: A Mixed-Methods Study
Authors: Levkovich Inbar , Kalimi Ela
Published: April 2023

This study sought to examine the impact of long-COVID symptoms on the occupational status of teachers after recovery. A mixed-methods study was conducted in Israel in June 2022 among teachers who had recovered within the past six months. The quantitative data were collected using a self-report online survey (n = 170) based on questionnaires, and the qualitative data were based on individual semi-structured in-depth online interviews (n = 26). Participants reported the following symptoms: fatigue (43.7%), weakness (32.2%), difficulty sleeping (27.3%), pain or discomfort (22.4%), and anxiety (20.7%). Sense of control, social support, and well-being exhibited negative correlations with long-term symptoms (p < 0.001). A multivariate regression analysis revealed that the model explained 25% of the variance in long-term symptoms and that a greater sense of control and well-being predicted lower levels of long-term symptoms. In the qualitative study, the teachers reported high levels of symptoms that impaired their functioning, including guilt, despair, and lack of work motivation. Some teachers reported that the school staff helped them cope, whereas others described the staff’s alienated attitude. The research found that fatigue, weakness, and difficulty sleeping were the primary long-term symptoms that exerted a significant impact on teachers’ functioning and well-being.
Phase Transition and Energy Storage Density in Lead-Free Ferroelectric Ba1−xSrxTiO3 (x = 0.1, 0.3, and 0.7) Capacitors
Authors: Castillo Ivan , Mishra Karuna Kara , Katiyar Ram S.
Published: April 2023

Structure, phonon, and energy storage density in Sr2+-substituted lead-free ferroelectric Ba1−xSrxTiO3 (BSTx) for compositions x = 0.1, 0.3, and 0.7 were investigated using X-ray diffraction, Raman, and ferroelectric polarization measurements as a function of temperature. The samples were tetragonal for x = 0.1 with a large c/a ratio. The tetragonal anisotropy was decreased upon increasing x and transforming to cubic for x = 0.7. The changes in structural and ferroelectric properties were found to be related to the c/a ratios. The temperature-dependent phonon spectroscopy results indicated a decrease in tetragonal–cubic phase transition temperature, Tc, upon increasing x due to a reduction in the lattice anisotropy. The intensity of ~303 cm−1 E(TO2) mode decreased gradually with temperature and finally disappeared around the tetragonal ferroelectric to cubic paraelectric phase at about 100 ℃ and 40 ℃ for x = 0.1 and 0.3, respectively. A gradual reduction in the band gap Eg of BSTx with x was evident from the analysis of UV-visible absorption spectra. The energy storage density (Udis) of the ferroelectric capacitors for x = 0.7 was ~0.20 J/cm3 with an energy storage efficiency of ~88% at an applied electric field of 104.6 kV/cm. Nearly room temperature transition temperatures TC and reasonably fair energy storage density of the BSTx capacitors were found.
Extravascular Ultrasound (EVUS) to Assess the Results of Peripheral Endovascular Procedures
Authors: Fazzini Stefano , Pennetta Federico Francisco , Turriziani Valerio , Vona Simona , Ascoli Marchetti Andrea , Ippoliti Arnaldo
Published: April 2023

Contrast arteriography (CA) is considered the gold standard to evaluate any phase in peripheral arterial disease (PAD) interventions, from diagnostics to final results. Nevertheless, duplex ultrasonography (DUS) mostly used for the pre/postoperative phase and follow-up control, could be a potential intraoperative adjunctive imaging tool to assess the effects of endovascular revascularization in patients with iliac and femoropopliteal lesions. The PAD “duplex-assisted” protocol includes a preoperative DUS control followed by an intraoperative and a postoperative control. The most important parameters are pulsed doppler spectral analysis and waveform changes, which are impossible to detect with intravascular ultrasound (IVUS). By using a similar acronym, the intraoperative DUS has been previously described as extravascular ultrasound (EVUS). B-mode imaging, color flow, and peak systolic velocity (PSV) are considered. EVUS could be very useful to evaluate the effects of endovascular treatment, mainly in cases of unclear CAs, severe calcifications and/or dissections. In the context of the “leaving nothing behind” strategy, EVUS can drive the physician to evaluate the absence of flow-limiting dissections and decide which target lesion should be treated with antirestenotic therapy, further vessel preparation, or stenting. The EVUS protocol could be a safe and feasible option to improve the completion assessment of endovascular PAD treatment. A better ultrasound waveform is a sign of improved luminal gain and compliance, which is extremely important to finalize the results of new peripheral device technology, such as intravascular lithotripsy.
Automatic Kidney Segmentation Method Based on an Enhanced Generative Adversarial Network
Authors: Shan Tian , Ying Yuhan , Song Guoli
Published: April 2023

When deciding on a kidney tumor’s diagnosis and treatment, it is critical to take its morphometry into account. It is challenging to undertake a quantitative analysis of the association between kidney tumor morphology and clinical outcomes due to a paucity of data and the need for the time-consuming manual measurement of imaging variables. To address this issue, an autonomous kidney segmentation technique, namely SegTGAN, is proposed in this paper, which is based on a conventional generative adversarial network model. Its core framework includes a discriminator network with multi-scale feature extraction and a fully convolutional generator network made up of densely linked blocks. For qualitative and quantitative comparisons with the SegTGAN technique, the widely used and related medical image segmentation networks U-Net, FCN, and SegAN are used. The experimental results show that the Dice similarity coefficient (DSC), volumetric overlap error (VOE), accuracy (ACC), and average surface distance (ASD) of SegTGAN on the Kits19 dataset reach 92.28%, 16.17%, 97.28%, and 0.61 mm, respectively. SegTGAN outscores all the other neural networks, which indicates that our proposed model has the potential to improve the accuracy of CT-based kidney segmentation.
Valid and Reproducible Quantitative Assessment of Cardiac Volumes by Echocardiography in Patients with Valvular Heart Diseases—Possible or Wishful Thinking?
Authors: Hagendorff Andreas , Kandels Joscha , Metze Michael , Tayal Bhupendar , Stöbe Stephan
Published: April 2023

The analysis of left ventricular function is predominantly based on left ventricular volume assessment. Especially in valvular heart diseases, the quantitative assessment of total and effective stroke volumes as well as regurgitant volumes is necessary for a quantitative approach to determine regurgitant volumes and regurgitant fraction. In the literature, there is an ongoing discussion about differences between cardiac volumes estimated by echocardiography and cardiac magnetic resonance tomography. This viewpoint focuses on the feasibility to assess comparable cardiac volumes with both modalities. The former underestimation of cardiac volumes determined by 2D and 3D echocardiography is presumably explained by methodological and technical limitations. Thus, this viewpoint aims to stimulate an urgent and critical rethinking of the echocardiographic assessment of patients with valvular heart diseases, especially valvular regurgitations, because the actual integrative approach might be too error prone to be continued in this form. It should be replaced or supplemented by a definitive quantitative approach. Valid quantitative assessment by echocardiography is feasible once echocardiography and data analysis are performed with methodological and technical considerations in mind. Unfortunately, implementation of this approach cannot generally be considered for real-world conditions.
Primary Lymphoproliferative Lung Diseases: Imaging and Multidisciplinary Approach
Authors: Gozzi Luca , Cozzi Diletta , Cavigli Edoardo , Moroni Chiara , Giannessi Caterina , Zantonelli Giulia , Smorchkova Olga , Ruzga Ron , Danti Ginevra , Bertelli Elena , Luzzi Valentina , Pasini Valeria , Miele Vittorio
Published: April 2023

Lymphoproliferative lung diseases are a heterogeneous group of disorders characterized by primary or secondary involvement of the lung. Primary pulmonary lymphomas are the most common type, representing 0.5–1% of all primary malignancies of the lung. The radiological presentation is often heterogeneous and non-specific: consolidations, masses, and nodules are the most common findings, followed by ground-glass opacities and interstitial involvement, more common in secondary lung lymphomas. These findings usually show a prevalent perilymphatic spread along bronchovascular bundles, without a prevalence in the upper or lower lung lobes. An ancillary sign, such as a “halo sign”, “reverse halo sign”, air bronchogram, or CT angiogram sign, may be present and can help rule out a differential diagnosis. Since a wide spectrum of pulmonary parenchymal diseases may mimic lymphoma, a correct clinical evaluation and a multidisciplinary approach are mandatory. In this sense, despite High-Resolution Computer Tomography (HRCT) representing the gold standard, a tissue sample is needed for a certain and definitive diagnosis. Cryobiopsy is a relatively new technique that permits the obtaining of a larger amount of tissue without significant artifacts, and is less invasive and more precise than surgical biopsy.
Intelligent Mining Road Object Detection Based on Multiscale Feature Fusion in Multi-UAV Networks
Authors: Xu Xinkai , Zhao Shuaihe , Xu Cheng , Wang Zhuang , Zheng Ying , Qian Xu , Bao Hong
Published: April 2023

In complex mining environments, driverless mining trucks are required to cooperate with multiple intelligent systems. They must perform obstacle avoidance based on factors such as the site road width, obstacle type, vehicle body movement state, and ground concavity-convexity. Targeting the open-pit mining area, this paper proposes an intelligent mining road object detection (IMOD) model developed using a 5G-multi-UAV and a deep learning approach. The IMOD model employs data sensors to monitor surface data in real time within a multisystem collaborative 5G network. The model transmits data to various intelligent systems and edge devices in real time, and the unmanned mining card constructs the driving area on the fly. The IMOD model utilizes a convolutional neural network to identify obstacles in front of driverless mining trucks in real time, optimizing multisystem collaborative control and driverless mining truck scheduling based on obstacle data. Multiple systems cooperate to maneuver around obstacles, including avoiding static obstacles, such as standing and lying dummies, empty oil drums, and vehicles; continuously avoiding multiple obstacles; and avoiding dynamic obstacles such as walking people and moving vehicles. For this study, we independently collected and constructed an obstacle image dataset specific to the mining area, and experimental tests and analyses reveal that the IMOD model maintains a smooth route and stable vehicle movement attitude, ensuring the safety of driverless mining trucks as well as of personnel and equipment in the mining area. The ablation and robustness experiments demonstrate that the IMOD model outperforms the unmodified YOLOv5 model, with an average improvement of approximately 9.4% across multiple performance measures. Additionally, compared with other algorithms, this model shows significant performance improvements.
The Risk Contagion between Chinese and Mature Stock Markets: Evidence from a Markov-Switching Mixed-Clayton Copula Model
Authors: Niu Hongli , Xu Kunliang , Xiong Mengyuan
Published: April 2023

Exploring the risk spillover between Chinese and mature stock markets is a promising topic. In this study, we propose a Markov-switching mixed-Clayton (Ms-M-Clayton) copula model that combines a state transition mechanism with a weighted mixed-Clayton copula. It is applied to investigate the dynamic risk dependence between Chinese and mature stock markets in the Americas, Europe, and Asia–Oceania regions. Additionally, the conditional value at risk (CoVaR) is applied to analyze the risk spillovers between these markets. The empirical results demonstrate that there is mainly a time-varying but stable positive risk dependence structure between Chinese and mature stock markets, where the upside and downside risk correlations are asymmetric. Moreover, the risk contagion primarily spills over from mature stock markets to the Chinese stock market, and the downside effect is stronger. Finally, the risk contagion from Asia–Oceania to China is weaker than that from Europe and the Americas. The study provides insights into the risk association between emerging markets, represented by China, and mature stock markets in major regions. It is significant for investors and risk managers, enabling them to avoid investment risks and prevent risk contagion.
What Makes a School a Happy School? Parents’ Perspectives
Authors: Gramaxo Patrícia , Seabra Filipa , Abelha Marta , Dutschke Georg
Published: April 2023

Well-being, equity, and inclusion are central aspects of happy schools. In this context, we aim to provide information to identify the characteristics of happy schools and Portuguese children’s level of happiness at school. In total, one thousand three hundred and ninety-nine parents of children from five to twenty years old participated in this study by answering a mostly open-ended questionnaire. They indicated their perceptions of how happy their children were at school, the moments they associated with individual happiness and unhappiness, and the characteristics of schools that they found conducive to promoting happiness. The findings show that parents value the relationships their children establish at school, teachers’ personal and professional skills, learning strategies, and the fact that students can be creative while learning valuable content. From the perspective of parents, unhappy schools are characterized by teachers with negative attitudes and attributes, bullying, an excessive workload, and consequent stress. Differences in terms of gender and age were not significant in this study. We found that levels of happiness at school decrease as students’ ages increase.
Inclusion through Participation: Fostering Pupils’ Feelings of Belonging in Swedish After-School Care
Authors: Karlsudd Peter Ingemar
Published: April 2023

The guiding principle for after-school care is to avoid segregation and specialist solutions. However, a tendency to segregate children needing special support in Swedish after-school care is a reality. A significant problem that after-school care faces is maintaining inclusive activities. This study aims to map the problem and find methods to reduce segregating processes in after-school care. Based on interviews with after-school teachers and student teachers focusing on work in after-school centres, the aim is to paint a picture of the centres’ current perspectives and efforts to create a sense of belonging for all children. In the analysis, a division of special pedagogy is used based on three discourses present in previous studies. As the results show, the interviewees advocated for an inclusive pedagogy. The scope, ambition, and prerequisites for this work varied between the different after-school centres, but all those interviewed agree that working with participation is the key to inclusion. The staff had a range of strategies and methods to ensure that all children in the organisation experienced a sense of belonging. The interviewees agreed that after-school centres should receive more resources and space for their after-school pedagogies to maintain an inclusive function.
Root Mirror Sites Identification and Service Area Analysis
Authors: Wang Jiachen , Li Zhiping , Zhang Zhaoxin , Chen Jian , Li Chao , Cheng Yanan
Published: April 2023

The operation of today’s Internet can only be achieved with the domain name system (DNS), and the essential part of the DNS is the root servers. Adding anycast mirrors has been used to maintain the security of root servers, but many problems accompany this technique. In this paper, we used 36198 probe points deployed worldwide to probe 1160 root mirror sites and analyzed the data with root mirrors’ identification and localization (RMIL). RMIL is a method to identify and locate root mirrors. It contains probing and analyzing the network services ID (NSID) and traceroute data to identify and locate root mirror sites. Using this method, 821 (70.78% of the total) sites were accurately identified and located, and city-level localization was achieved for 281 other sites. Finally, the identification results were used in the service area analysis. The analysis contained multiple dimensions: locations, autonomous system numbers (ASN), internet service providers (ISP), and IPV4 prefixes. As such, we helped identify and locate root mirror sites more precisely and discover which ones have a greater service area in different dimensions.
A Face Detector with Adaptive Feature Fusion in Classroom Environment
Authors: Sun Cheng , Wen Pei , Zhang Shiwen , Wu Xingjin , Zhang Jin , Gong Hongfang
Published: April 2023

Face detection in the classroom environment is the basis for student face recognition, sensorless attendance, and concentration analysis. Due to equipment, lighting, and the uncontrollability of students in an unconstrained environment, images include many moving faces, occluded faces, and extremely small faces in a classroom environment. Since the image sent to the detector will be resized to a smaller size, the face information extracted by the detector is very limited. This seriously affects the accuracy of face detection. Therefore, this paper proposes an adaptive fusion-based YOLOv5 method for face detection in classroom environments. First, a very small face detection layer in YOLOv5 is added to enhance the YOLOv5 baseline, and an adaptive fusion backbone network based on multi-scale features is proposed, which has the ability to feature fusion and rich feature information. Second, the adaptive spatial feature fusion strategy is applied to the network, considering the face location information and semantic information. Finally, a face dataset Classroom-Face in the classroom environment is creatively proposed, and it is verified with our method. The experimental results show that, compared with YOLOv5 or other traditional algorithms, our algorithm portrays better performance in WIDER-FACE Dataset and Classroom-Face dataset.
Response Surface Method for Reliability Analysis Based on Iteratively-Reweighted-Least-Square Extreme Learning Machines
Authors: Ou Yanjun , Wu Yeting , Cheng Jun , Chen Yangyang , Zhao Wei
Published: April 2023

A response surface method for reliability analysis based on iteratively-reweighted-least-square extreme learning machines (IRLS-ELM) is explored in this paper, in which, highly nonlinear implicit performance functions of structures are approximated by the IRLS-ELM. Monte Carlo simulation is then carried out on the approximate IRLS-ELM for structural reliability analysis. Some numerical examples are given to illustrate the proposed method. The effects of parameters involved in the IRLS-ELM on accuracy in reliability analysis are respectively discussed. The results exhibit that a proper number of samples and neurons in hidden layer nodes, an appropriate regularization parameter, and the number of iterations for reweighting are of important assurance to obtain reasonable precision in estimating structural failure probability.
Remaining Useful Life Prediction for a Catenary, Utilizing Bayesian Optimization of Stacking
Authors: Liu Li , Zhang Zhihui , Qu Zhijian , Bell Adrian
Published: April 2023

This article addresses the problem that the remaining useful life (RUL) prediction accuracy for a high-speed rail catenary is not accurate enough, leading to costly and time-consuming periodic planned and reactive maintenance costs. A new method for predicting the RUL of a catenary is proposed based on the Bayesian optimization stacking ensemble learning method. Taking the uplink and downlink catenary data of a high-speed railway line as an example, the preprocessed historical maintenance and maintenance data are input into the integrated prediction model of Bayesian hyperparameter optimization for training, and the root mean square error (RMSE) of the final optimized RUL prediction result is 0.068, with an R-square (R2) of 0.957, and a mean absolute error (MAE) of 0.053. The calculation example results show that the improved stacking ensemble algorithm improves the RMSE by 28.42%, 30.61% and 32.67% when compared with the extreme gradient boosting (XGBoost), support vector machine (SVM) and random forests (RF) algorithms, respectively. The improved accuracy prediction lays the foundation for targeted equipment maintenance and system maintenance performed before the catenary system fails, thus potentially saving both planned and reactive maintenance costs and time.
Thangka Sketch Colorization Based on Multi-Level Adaptive-Instance-Normalized Color Fusion and Skip Connection Attention
Authors: Li Hang , Fang Jie , Jia Ying , Ji Liqi , Chen Xin , Wang Nianyi
Published: April 2023

Thangka is an important intangible cultural heritage of Tibet. Due to the complexity, and time-consuming nature of the Thangka painting technique, this technique is currently facing the risk of being lost. It is important to preserve the art of Thangka through digital painting methods. Machine learning-based auto-sketch colorization is one of the vital steps for digital Thangka painting. However, existing learning-based sketch colorization methods face two challenges in solving the problem of colorizing Thangka: (1) the extremely rich colors of the Thangka make it difficult to color accurately with existing algorithms, and (2) the line density of the Thangka brings extreme challenges for algorithms to define what semantic information the lines imply. To resolve these problems, we propose a Thangka sketch colorization method based on multi-level adaptive-instance-normalized color fusion (MACF) and skip connection attention (SCA). The proposed method consists of two parts: (1) a multi-level adaptive-instance-normalized color fusion (MACF) to fuse sketch feature and color feature; and (2) a skip connection attention (SCA) mechanism to distinguish the semantic information implied by the sketch lines. Experiments on colorizing Thangka sketches show that our method works well on two small datasets—the Danbooru 2019 dataset and the Thangka dataset. Our approach can generate exquisite Thangka.
Laser-Assisted Non-Surgical Treatments of Periodontitis
Authors: El Mobadder Marwan , Namour Amaury , Nammour Samir
Published: April 2023

This entry explores the innovative use of lasers in the non-surgical treatment of periodontitis, shedding light on the advantages, effectiveness, and limitations of this approach. There has been a massive eruption of innovations and technologies to assist in the treatment of periodontal diseases over the past 30 years. The use of lasers has opened new horizons and possibilities that can enhance periodontal treatments. However, their use is not always based on validated concepts and evidence-based protocols. Hence, this entry aims to describe, summarize, and assess the available evidence on the current laser-assisted protocols in the non-surgical treatment of periodontitis. Four distinct laser-assisted approaches are addressed: (1) the use of lasers for the removal of subgingival calculus, (2) the use of lasers in photodynamic therapy/photoactivated disinfection, (3) the use of lasers in photobiomodulation therapy, and (4) the use of high-power lasers. Based on the available studies and on the current guidelines and recommendations, the use of lasers exhibits several advantages, such as the increased disinfection of periodontal pockets and the junctional epithelium and connective tissue, the removal of calculus and biofilm, and the bactericidal effect on periodontal pathogens. Moreover, photobiomodulation therapy seems to play a positive role in the management of the inflammatory process of periodontitis. Although promising, the use of lasers in the non-surgical treatment of periodontitis needs to be further investigated.
Effects of Germination, Fermentation and Extrusion on the Nutritional, Cooking and Sensory Properties of Brown Rice Products: A Comparative Study
Authors: Ma Zhanqian , Zhai Xiaotong , Zhang Na , Tan Bin
Published: April 2023

In this study, cooked brown rice (BR), germinated brown rice (GBR), fermented brown rice (FBR) and white rice (WR) were prepared by traditional cooking techniques, and extruded brown rice (EBR) was obtained by extrusion processing technology. The nutritional, cooking and sensory properties of different BR products were investigated. The results indicated that the soluble dietary fiber (SDF) content, free total phenolic content (TPC), total flavonoid content (TFC) and antioxidant capacity (DPPH, ABTS, T-AOC) in processed BR products were significantly higher than those in cooked BR and WR. The values of SDF, free TPC, TFC and T-AOC in EBR increased by 38.78%, 232.36%, 102.01% and 153.92%, respectively, compared with cooked BR. Cooked FBR and EBR had more nutrients, required less cooking time, had a softer texture and were whiter than cooked GBR and BR, especially EBR. In addition, the water absorption rate of EBR was 14.29% and 25.41% higher than that of cooked FBR and GBR. The hardness of EBR was significantly lower than that of cooked FBR and BR, even lower than that of cooked WR. However, there was no significant difference between the hardness of cooked GBR and that of cooked BR. The flavor compounds in EBR were similar to that of cooked WR, while those in cooked GBR and FBR did not differ greatly compared to cooked BR. Collectively, cooked FBR and EBR had better nutritional value, cooking and sensory properties than cooked BR, and the comprehensive value of EBR was higher.
Effect of Black Garlic on Microbiological Properties, Lipid Oxidation, Residual Nitrite, Nitrosamine Formation and Sensory Characteristics in a Semi-Dry Fermented Sausage
Authors: Akansel Begüm , Yılmaz Oral Zeynep , Sallan Selen , Kaban Güzin , Kaya Mükerrem
Published: April 2023

This study was conducted with the aim of determining the effects of different black garlic (BG) levels (1%, 2% and 3%) on quality characteristics of a semi-dry fermented sausage (heat-treated sucuk). In addition, the effect of cooking time (0, 1 or 3 min at 180 °C on a hot plate) on nitrosamine formation was investigated. Fresh garlic (FG, 1%) was evaluated as the control group. BG (2% and 3%) caused a reduction in the count of lactic acid bacteria while leading to an increase in pH. FG1% gave the highest number of Micrococcus/Staphylococcus, as well as aw value. The thiobarbituric acid reactive substance (TBARS) value increased with increasing BG levels. FG (1%) showed the highest residual nitrite amount (p < 0.05). The scores for color, taste and general acceptability were reduced by the use of BG (p < 0.05). No significant difference was observed between the garlic treatments in terms of N-Nitrosodimethylamine (NDMA) and N-Nitrosodiethylamine (NDEA) when no additional cooking was applied. Cooking time was determined to have no significant effect on NDMA in 3% BG. The use of BG caused an increase in N-Nitrosopiperidine (NPIP) (p < 0.05). As for PCA, a closer correlation between NPIP and the groups containing BG was observed, while there was a strong correlation between NDMA and the FG group cooked for 3 min. The use of BG caused an increase in NPIP, but affected NDMA and NDEA depending on the cooking time.