bluuebunny/crossref_metadata_2025 huggingface dataset:
Unmet Nutritional and Psychological Needs of Cancer Patients: An Integrated Multi-Professional Model Approach
Authors: Carruba Giuseppe , Calagna Maria Luisa , Campisi Ildegarda , Cutrera Stella , Napoli Laura , Pitti Giovanni , Palmisano Valentina , Savio Giuseppina , Usset Antonella , Leonardi Vita , Di Pasquale Angela , Requirez Salvatore , Blasi Livio
Published: July 2022

This paper presents a multi-professional integrated approach toward the recognition and management of the nutritional and psychological needs of cancer patients. In particular, the patients undertook a multi-professional, multistep process that included the collection of both personal and clinical data, the evaluation of anthropometric measures, nutritional status and psychometric indices, and an ensuing personalized nutritional prescription and psychological support, ultimately leading to combined nutritional and psychological interventions to control their adherence to a nutritional program and to consolidate motivation to change. Overall, 120 patients were recruited for the study. The majority (84.2%) were female. Breast cancer was by far the most frequent malignancy (52.5%), followed by colorectal (17.5%), pancreatic (9.2%), ovarian (9.2%) and lung (5.0%) cancers. The results of the nutritional and psychological screening at baseline indicated that only 35% of patients had a normal BMI, whilst a relatively high proportion (nearly 32%) was overweight or obese (25%). The INRAN and MEDI-LITE questionnaires, which were used to assess the eating habits and adherence to a Mediterranean diet, respectively, revealed a mixed prevalence of cereals/cereal-based, fresh/processed meat, and fish or fishery food, with a medium–low adherence to the Mediterranean diet in nearly 38% of patients. The BUT, HADS and SF-36 tests, which were used to assess psychological disturbances, showed that 37.5% of patients had disorders regarding body image, 29.2% had abnormal anxiety and 20.0% had a depressive state, while no significant association was observed between the SF-36 PCS and MCS and the patients′ characteristics. The results of the potential impact of this novel approach on the QoL of patients after completion of the course are awaited with expectation.
A Unified Airspace Risk Management Framework for UAS Operations
Authors: Bijjahalli Suraj , Gardi Alessandro , Pongsakornsathien Nichakorn , Sabatini Roberto , Kistan Trevor
Published: July 2022

Collision risk modelling has a long history in the aviation industry, with mature models currently utilised for the strategic planning of airspace sectors and air routes. However, the progressive introduction of Unmanned Aircraft Systems (UAS) and other forms of air mobility poses new challenges, compounded by a growing need to address both offline and online operational requirements. To address the associated gaps in the existing airspace risk assessment models, this article proposes a comprehensive risk management framework, which relies on a novel methodology to model UAS collision risk in all classes of airspace. This methodology inherently accounts for the performance of Communication, Navigation and Surveillance (CNS) systems, and, as such, it can be applied to both strategic and tactical operational timeframes. Additionally, the proposed approach can be applied inversely to determine CNS performance requirements given a target value of collision probability. This new risk assessment methodology is based on a rigorous analysis of the CNS error characteristics and transformation of the associated models into the spatial domain to generate a protection volume around each predicted air traffic conflict. Additionally, a methodology to quickly and conservatively evaluate the multi-integral formulation of collision probability is introduced. The validity of the proposed framework is tested using representative CNS performance parameters in two simulation case studies targeting, respectively, a terminal manoeuvring area and an enroute scenario.
Analysis of Spanish Parents’ Knowledge about ASD and Their Attitudes towards Inclusive Education
Authors: Gómez-Marí Irene , Tárraga-Mínguez Raúl , Pastor-Cerezuela Gemma
Published: July 2022

To make possible the inclusion of children with autism spectrum disorder (ASD) in mainstream settings, parental knowledge and attitudes towards the disorder play a key role between the home and the school setting. However, prior literature has not carried out an in-depth analysis of parents’ knowledge about ASD and their attitudes toward the inclusion of children with this diagnosis. This study examined the parental attitudes towards inclusion and knowledge about ASD. Participants were parents of children with ASD (n = 75), parents of children without ASD whose children had prior or current contact with peers with ASD (n = 44), and parents of children with no previous interactions with a peer with ASD (n = 51). The Attitudes of Regular Educators Towards Inclusion for Students with Autism Survey and the Autism Knowledge Questionnaire were filled out. Nonparametric statistical tests were used. Results showed that parents of children with ASD have better knowledge about this disorder and hold more favorable attitudes towards the inclusion of children with ASD than the other parents. These findings suggest that the benefits of inclusive schooling are limited to the school setting and do not appear to affect families of children without ASD.
A Method for the Evaluation of Power-Generating Sets Based on the Assessment of Power Quality Parameters
Authors: Listewnik Karol Jakub
Published: July 2022

This article presents a new method for the classification of machine failures using an example of selected generating sets. Measurements and an analysis of the electrical parameters, such as the phase-to-phase voltages at the terminals of a synchronous generator, armature current, and voltage and excitation current of a synchronous generator, are the basis for determining the failure symptoms. The existing energy quality coefficients are adopted as symptoms for the assessment of failures in the monitored generating set. We assume in this method that the description of the input–output relationship is in the form of a black box and use the binary diagnostics matrix (BDM) to investigate the failure–symptom relationships between the inputs (intentional failures) and outputs (failures symptoms = fault-sensitive power quality (PQ) coefficients). The method presented in this article enables the detection and classification of both electrical damage in a synchronous generator and mechanical damage in a diesel engine. It is anticipated that further work and development of the method will focus on the implementation of the algorithm in the form of software into a miniature IoT module for the automatic classification of failures.
Recent Developments in Surface-Enhanced Raman Spectroscopy and Its Application in Food Analysis: Alcoholic Beverages as an Example
Authors: Li Lijiao , Cao Xiaonian , Zhang Ting , Wu Qian , Xiang Peng , Shen Caihong , Zou Liang , Li Qiang
Published: July 2022

Surface-enhanced Raman spectroscopy (SERS) is an emerging technology that combines Raman spectroscopy and nanotechnology with great potential. This technology can accurately characterize molecular adsorption behavior and molecular structure. Moreover, it can provide rapid and sensitive detection of molecules and trace substances. In practical application, SERS has the advantages of portability, no need for sample pretreatment, rapid analysis, high sensitivity, and ‘fingerprint’ recognition. Thus, it has great potential in food safety detection. Alcoholic beverages have a long history of production in the world. Currently, a variety of popular products have been developed. With the continuous development of the alcoholic beverage industry, simple, on-site, and sensitive detection methods are necessary. In this paper, the basic principle, development history, and research progress of SERS are summarized. In view of the chemical composition, the beneficial and toxic components of alcoholic beverages and the practical application of SERS in alcoholic beverage analysis are reviewed. The feasibility and future development of SERS are also summarized and prospected. This review provides data and reference for the future development of SERS technology and its application in food analysis.
Acylation of Anthocyanins and Their Applications in the Food Industry: Mechanisms and Recent Research Advances
Authors: Luo Xiu’er , Wang Ruoyong , Wang Jinhua , Li Ying , Luo Huainan , Chen Shi , Zeng Xin’an , Han Zhong
Published: July 2022

Anthocyanins are extensively used as natural non-toxic compounds in the food industry due to their unique biological properties. However, the instability of anthocyanins greatly affects their industrial application. Studies related to acylated anthocyanins with higher stability and increased solubility in organic solvents have shown that the acylation of anthocyanins can improve the stability and fat solubility of anthocyanins. However, relevant developments in research regarding the mechanisms of acylation and applications of acylated anthocyanins are scarcely reviewed. This review aims to provide an overview of the mechanisms of acylation and the applications of acylated anthocyanins in the food industry. In the review, acylation methods, including biosynthesis, semi-biosynthesis, and chemical and enzymatic acylation, are elaborated, physicochemical properties and biological activities of acylated anthocyanins are highlighted, and their application as colourants, functionalizing agents, intelligent indicators, and novel packaging materials in the food industry are summarized. The limitations encountered in the preparation of acylated anthocyanins and future prospects, their applications are also presented. Acylated anthocyanins present potential alternatives to anthocyanins in the food industry due to their functions and advantages as compared with non-acylated analogues. It is hoped that this review will offer further information on the effective synthesis and encourage commercialization of acylated anthocyanins in the food industry.
Some Properties of Fractional Cumulative Residual Entropy and Fractional Conditional Cumulative Residual Entropy
Authors: Dong Keqiang , Li Shushu , Li Dan
Published: July 2022

Fractional cumulative residual entropy is a powerful tool for the analysis of complex systems. In this paper, we first provide some properties of fractional cumulative residual entropy (FCRE). Secondly, we generate cumulative residual entropy (CRE) to the case of conditional entropy, named fractional conditional cumulative residual entropy (FCCRE), and introduce some properties. Then, we verify the validity of these properties with randomly generated sequences that follow different distributions. Moreover, we give the definition of empirical fractional conditional accumulative residual entropy and prove that it can be used to approximate FCCRE. Finally, the empirical analysis of the aero-engine gas path data is carried out. The results show that FCRE and FCCRE can effectively capture complex information in the gas path system.
The Age Factor in the Analysis of Occupational Risks in the Wood Industry
Authors: Araújo-Vila Noelia , Toubes Diego R. , Fraiz-Brea Jose Antonio
Published: July 2022

Workers in the wood industry are continually exposed to a wide range of risks. Some risks are potentially high and may lead to serious work-related accidents or occupational diseases. It is a sector where physical work is predominant and where high-risk machinery is used. There is also the age factor, as the age of the workforce increases the risks of loss of skills, particularly physical skills. This study analyses the impact of age on the occupational safety and health management in the wood industry. To this end, a qualitative analysis was carried out through semi-structured in-depth interviews. A total of 52 interviews were conducted with wood-based entrepreneurs, occupational safety technicians and experts from Galicia (Spain). The results show that there is a growing concern to integrate the older group in occupational safety and health management due to the increasing work life. The older group is not the one with the greatest number of occupational accidents (8.3%), but rather the one that needs better working conditions in the face of physical deterioration, considering that a large proportion of senior workers is transferred to administrative tasks. Consequently, the proportion of older workers performing physical tasks, which are the tasks with the highest associated risk, is lower.
Evolution in the Definition of Follicular Lymphoma and Diffuse Large B-Cell Lymphoma: A Model for the Future of Personalized Medicine
Authors: Jaffe Elaine S. , Carbone Antonino
Published: July 2022

The definitions of follicular lymphoma (FL) and diffuse large B-cell lymphoma (DLBCL) are evolving in the era of personalized medicine. Early stages of the evolution of FL have been recognized. Two histological manifestations of early lesions are in situ follicular neoplasia and duodenal type FL. Additionally, FL frequently undergoes histological transformation, the most common form being DLBCL. High-grade B-cell lymphoma with double hit, with translocations involving BCL2 and MYC are important clinically. Rarer forms of transformation include classic Hodgkin lymphoma (CHL) and histiocytic sarcoma. In addition to conventional FL associated with the BCL2 translocation, alternative forms of BCL2-negative FL have been observed. These are heterogenous clinically and genetically. A distinctive group of B-cell lymphomas of follicle cell derivation arise in young patients and include pediatric type FL, testicular FL and a large B-cell lymphoma with IRF4 rearrangement. Historically DLBCL was separated into only two histological variants, centroblastic and immunoblastic. In 2017 the WHO classification recommended (1) the segregation of activated B cell and germinal center B cell derived DLBCL, (2) the identification of high-grade B-cell lymphoma with double hit, and (3) the recognition of an aggressive lymphoma that may resemble Burkitt lymphoma, currently designated in the International Consensus Classification as Large B-cell lymphoma with 11q aberration. Today we appreciate greater genomic complexity among aggressive B-cell lymphomas. Recent studies with NGS and mutational profiling have identified clinically significant genetic subgroups. It is hoped that these data ultimately will lead to targeted therapy based on the genetic profile.
Scientific Advances in Biostimulation Reported in the 5th Biostimulant World Congress
Authors: García-Sánchez Francisco , Simón-Grao Silvia , Navarro-Pérez Valeria , Alfosea-Simón Marina
Published: July 2022

Biostimulants are agronomic products that have become highly important in agriculture, as they are formulated with substances capable of stimulating physiological and biochemical processes in plants that help them adapt to different detrimental environmental conditions such as drought, salinity, high temperatures, nutritional deficiencies, etc. in such a way that the crops, under these conditions, maintain a good agronomic yield and quality of harvest. Every two years, the International Congress on Biostimulants is held with the aim of publicizing the most innovative and recent advances in every relevant type of product: new active ingredients, modes of action, cultivation protocols, test platforms and phenotyping, use of analytical omics tools, etc. In December 2021, the 5th World Congress on Biostimulants was held in Miami (Florida, USA). This publication summarizes the most relevant results that were presented at this congress, in which biostimulants formulated with algae extracts and amino acids stood out in a number of presentations. The various studies presented were carried out on diverse crops such as apple, blackberry, carrot, celery, cherry, corn, grape (table and wine), olive, pear, pepper, potato, rapeseed, spinach, sunflower, soybean, tomato, and wheat. The future lines of the new generation of biostimulants were also marked.
Provision of Desalinated Irrigation Water by the Desalination of Groundwater Abstracted from a Saline Aquifer
Authors: Antia David D. J.
Published: July 2022

Globally, about 54 million ha of cropland are irrigated with saline water. Globally, the soils associated with about 1 billion ha are affected by salinization. A small decrease in irrigation water salinity (and soil salinity) can result in a disproportionally large increase in crop yield. This study uses a zero-valent iron desalination reactor to effect surface processing of ground water, obtained from an aquifer, to partially desalinate the water. The product water can be used for irrigation, or it can be reinjected into a saline aquifer, to dilute the aquifer water salinity (as part of an aquifer water quality management program), or it can be injected as low-salinity water into an aquifer to provide a recharge barrier to protect against seawater intrusion. The saline water used in this study is processed in a batch flow, bubble column, static bed, diffusion reactor train (0.24 m3), with a processing capacity of 1.7–1.9 m3 d−1 and a processing duration of 3 h. The reactor contained 0.4 kg Fe0. A total of 70 batches of saline water (average 6.9 g NaCl L−1; range: 2.66 to 30.5 g NaCl L−1) were processed sequentially using a single Fe0 charge, without loss of activity. The average desalination was 24.5%. The reactor used a catalytic pressure swing adsorption–desorption process. The trial results were analysed with respect to Na+ ion removal, Cl− ion removal, and the impact of adding trains. The reactor train was then repurposed, using n-Fe0 and emulsified m-Fe0, to establish the impact of reducing particle size on the amount of desalination, and the amount of n-Fe0 required to achieve a specific desalination level.
An Ecological Profile of Hydropsyche alternans (Trichoptera: Hydropsychidae) in Lake Superior, the Last Stronghold of a Once-Dominant Great Lakes Surf Zone Caddisfly
Authors: Miess Sam , Chrisekos Alissa , Strand Mac
Published: July 2022

We studied the life history, diet, and trophic ecology of Hydropsyche alternans in four rocky sites located along the south-central coast of Lake Superior. The H. alternans life history and broad trophic niche space were similar to those of its riverine relatives. Quantitative sampling over the course of one ice-free season revealed that most individuals lived univoltine life histories that featured early to mid-summer mating, and oviposition and rapid growth and development through summer into fall. Most individuals overwintered as ultimate or penultimate larval instars. Pupation followed ice-out in the spring. Gut content sampling and δ13C and δ15N stable isotope analyses indicated that the typical larval diet is a mix of benthic, pelagic, and terrestrial food resources, including diatoms, small arthropods, sloughed periphyton, and in one site, fugal hyphae apparently of foredune origin. As a suspension-feeding omnivore that relies on waves and currents to deliver food to its nets, H. alternans larvae form energetic links between coastal, nearshore, and offshore food webs. These connections have been lost throughout the lower Laurentian Great Lakes as a consequence of the invasion and spread of Dreissena mussels.
Characterization of Caseinate–Carboxymethyl Chitosan-Based Edible Films Formulated with and without Transglutaminase Enzyme
Authors: Mohamed Amal , Ramaswamy Hosahalli S.
Published: July 2022

Edible composite packaging has the advantage of complementary functional properties over its individual bio-components. However, film composites made from caseinate (CA) and carboxymethyl chitosan (CMCH) have not yet been well explored. In this study, four types of CA-CMCH composite films were prepared and evaluated with and without transglutaminase (TGase) supplement. Aqueous CA (8%, w/v) and CMCH solutions (2%, w/v) were mixed in different volume ratios of CA: CMCH as 100:0, 75:25, 50:50, 75:25, and 25:75. Those to be supplemented with TGase were incorporated at 10 U/g of caseinate protein level. Results revealed that CMCH incorporation to CA facilitated a smooth and uniform surface microstructure on films and markedly improved the transparency, water barrier properties, mechanical properties, and solubility of the composite film. Furthermore, addition of TGase resulted in an improvement in the water vapor permeability. TGase successfully enforced the formation of CA-CMCH composites with some enhanced functional properties. The resulting composite film offers potential for applications as an alternative edible film or in the preparation of edible packaging films.
MiR-146a Contributes to Thromboinflammation and Recurrence in Young Patients with Acute Myocardial Infarction
Authors: de los Reyes-García Ascensión M. , Rivera-Caravaca José Miguel , Zapata-Martínez Laura , Águila Sonia , Véliz-Martínez Andrea , García-Barberá Nuria , Gil-Perez Pablo , Guijarro-Carrillo Pedro J. , Orenes-Piñero Esteban , López-García Cecilia , Lozano María L. , Marín Francisco , Martínez Constantino , González-Conejero Rocío
Published: July 2022

Studies on older patients have established notable conceptual changes in the etiopathogenesis of acute coronary syndrome (ACS), but little is known about this disease in young patients (<45 years). Of special interest is thromboinflammation, key at onset, evolution and therapy of cardiovascular pathology. Therefore, we explored whether ACS at an early age is a thromboinflammatory disease by analyzing NETs and rs2431697 of miR-146a (a miRNA considered as a brake of TLR/NF-kB pathway), elements previously related to higher rates of recurrence in atrial fibrillation and sepsis. We included 359 ACS patients (<45 years) and classified them for specific analysis into G1 (collected during the hospitalization of the first event), G2 and G3 (retrospectively collected from patients with or without ACS recurrence, respectively). cfDNA and citH3–DNA were quantified, and rs2431697 was genotyped. Analysis in the overall cohort showed a moderate but significant correlation between cfDNA and citH3–DNA and Killip–Kimball score. In addition, patients with citH3–DNA > Q4 more frequently had a history of previous stroke (6.1% vs. 1.6%). In turn, rs2431697 did not confer increased risk for the onset of ACS, but T carriers had significantly higher levels of NET markers. By groups, we found that cfDNA levels were similarly higher in all patients, but citH3–DNA was especially higher in G1, suggesting that in plasma, this marker may be attenuated over time. Finally, patients from G2 with the worst markers (cfDNA and citH3–DNA > Q2 and T allele) had a two-fold increased risk of a new ischemic event at 2-year follow-up. In conclusion, our data confirm that ACS is younger onset with thromboinflammatory disease. In addition, these data consolidate rs2431697 as a silent proinflammatory factor predisposing to NETosis, and to a higher rate of adverse events in different cardiovascular diseases.
Effect of Exercise on Inflammation in Hemodialysis Patients: A Systematic Review
Authors: Meléndez Oliva Erika , Villafañe Jorge H. , Alonso Pérez Jose Luis , Alonso Sal Alexandra , Molinero Carlier Guillermo , Quevedo García Andrés , Turroni Silvia , Martínez-Pozas Oliver , Valcárcel Izquierdo Norberto , Sánchez Romero Eleuterio A.
Published: July 2022

Background: In recent years, physical exercise has been investigated for its potential as a therapeutic tool in patients with end-stage renal disease (ESRD) undergoing hemodialysis maintenance treatment (HD). It has been shown that regular practice of moderate-intensity exercise can improve certain aspects of immune function and exert anti-inflammatory effects, having been associated with low levels of pro-inflammatory cytokines and high levels of anti-inflammatory cytokines. Purpose: The aim of this review is to examine the studies carried out in this population that analyzed the effect of intradialytic exercise on the inflammatory state and evaluate which exercise modality is most effective. Methods: The search was carried out in the MEDLINE, CINAHL Web of Science and Cochrane Central Register of Controlled Trials databases from inception to June 2022. The PEDro scale was used to assess methodological quality, and the Cochrane Risk of Bias Tool and MINORS were used to evaluate the risk of bias. The quality of evidence was assessed with GRADE scale. The outcome measures were systemic inflammation biomarkers. Results: Mixed results were found in terms of improving inflammation biomarkers, such as CRP, IL-6 or TNFα, after exercise. Aerobic exercise seems to improve systemic inflammation when performed at medium intensity while resistance training produced better outcomes when performed at high intensity. However, some studies reported no differences after exercise and these results should be taken with caution. Conclusions: The low quality of the evidence suggests that aerobic and resistance exercise during HD treatment improves systemic inflammation biomarkers in patients with ESRD. In any case, interventions that increase physical activity in patients with ESRD are of vital importance as sedentary behaviors are associated with mortality. More studies are needed to affirm solid conclusions and to make intervention parameters, such as modality, dose, intensity or duration, sufficiently clear.
Evaluating Ecosystem Services and Trade-Offs Based on Land-Use Simulation: A Case Study in the Farming–Pastoral Ecotone of Northern China
Authors: Bai Shuting , Yang Jiuchun , Zhang Yubo , Yan Fengqin , Yu Lingxue , Zhang Shuwen
Published: July 2022

Evaluating the impacts of land-use change (LUC) on ecosystem services (ESs) is necessary for regional sustainable development, especially for the farming–pastoral ecotone of northern China (FPENC), an ecologically sensitive and fragile region. This study aimed to assess the impacts of LUC on the ESs and provide valuable information for regional planning and management in the FPENC. To accomplish this, we assessed LUC in the FPENC from 2010 to 2020 and simulated land-use patterns in 2030 under three plausible scenarios: the business as usual scenario (BAUS), economic development scenario (EDS), and ecological protection scenario (EPS). Then, we quantified five ESs (including crop production, water yield, soil retention, water purification, and carbon storage) for 2020–2030 and analyzed the trade-offs and synergies among ESs in all scenarios. The results show that FPENC experienced expanding farming land and built-up land throughout 2010–2020. Under the BAUS and EDS from 2000 to 2030, especially EDS, the increase in farming land and built-up land will continue. As a result, crop production and water yield will increase, while soil retention, water purification, and carbon storage will decrease. In contrast, EPS will increase soil retention, water purification, and carbon storage at the cost of a decline in crop production and water yield. These results can provide effective reference information for future regional planning and management in the farming–pastoral ecotone.
The Shaping of Daqing: Borderless Interactions between Oil and Urban Areas
Authors: Hauser Stephan J. , Zhu Penglin
Published: July 2022

Since the development of the oil industry in the 1860s, petroleum products became increasingly important in economies and shaped the urban form. The impact of oil exploration, exploitation, and transformation led to the creation of districts and cities entirely dedicated to the oil industry. This dynamic relationship between economic activity and urbanization was presented in the shaping of cities and their borders. Although important, the notion of borders and its consequences on the uses of land as well as on the life of inhabitants are often ignored. This paper first conceptualizes the term borders in understanding the interlinkages between oil and other areas closely related, either geographically or for the functioning of the oil industry; it then illustrates the intertwined borders of all these spaces from the contemporary example of the city of Daqing, in Northeast China. The paper answers the question of how past borders designed during the development of Daqing in the 1960s are impacting future planning strategies and the health of local inhabitants? By mapping the current land-use of the city, this paper elaborates on the need to consider borders beyond two-dimensional perspectives by revealing how spatial planning practices in oil-dependent cities can be an environmental issue today and in the future. The objective is to demonstrate the influence of past planning decisions linked to industrial activities on contemporary urban spaces.
Friction Reduction Due to Heating in the Sliding Contact of Smart Coating: Modeling of Mutual Effect
Authors: Torskaya Elena , Stepanov Fedor
Published: July 2022

In smart coatings designed for friction units operating in wide temperature ranges, the material reacts to heating by changing its frictional properties. Appropriate experimental studies are available. In this paper, a model is proposed for studying the mutual effect of frictional heating, which is inhomogeneous in the contact area, and shear stresses. The distribution of the latter differs from the Amonton–Coulomb law according to local temperatures, from which the local friction coefficient depends. Two problems are independently solved in the model: the problem of elastic contact between a smooth slider and a two-layer elastic half-space, and the thermal problem. The solution methods are numerical–analytical and are based on Hankel integral transforms and iterative procedures. The problem has been solved for two types of sliders simulating pin-on-disk and ball-on-disk test schemes. For the selected dependences of the local friction coefficient on temperature, an analysis was made to study the influence of sliding velocity and coating thickness on the distribution of temperatures, tangential stresses in the contact zone, as well as integral friction force. Relatively rigid and relatively compliant coatings were considered. It was found that for such smart coatings, which implement the mechanism of self-lubrication during frictional heating, there is a decrease in the friction force with increasing velocity, especially for relatively thick coatings with low thermal conductivity.
3,6-Dihydro-5H-pyrazolo [4′,3′:5,6]pyrano[3,4-b]indol-5-one
Authors: Kalampaliki Amalia D. , Kanellopoulou Sofia , Kostakis Ioannis K.
Published: July 2022

Pyrano [3,4-b]indol-1(9H)-ones and indolo [2,3-c]coumarins are important classes of heterocyclic compounds with versatile biological activities. Herein, we describe a straightforward and scalable synthesis of 3,6-dihydro-5H-pyrazolo [4′,3′:5,6]pyrano [3,4-b]indol-5-one, a pyrazolo-fused pyrano [3,4-b]indolone, via a three step approach including Fischer-indole synthesis and intramolecular esterification. The compound is fully characterized by means of 1H and 13C NMR spectra, using direct and long-range heteronuclear correlation experiments (HMBC and HMQC).
Influence Mechanisms of Inclusion Types on Rotating Bending Fatigue Properties of SAE52100 Bearing Steel
Authors: Shi Zhiyue , Li Jingjing , Zhang Xiaodan , Shang Chengjia , Cao Wenquan
Published: July 2022

The rotating bending fatigue crack sources of SAE52100 high carbon bearing steel were studied in this paper. On the fatigue fracture surfaces, inclusions for crack initiation are mainly Ca-Al-O and TiN inclusions, and the size of TiN inclusions is much smaller than that of Ca-Al-O inclusions. The analysis of inclusions by Aspex shows that the number and size of Ca-Al-O inclusions in the matrix are much larger than those of TiN inclusions. Combined with the calculation of stress intensity factor and the analysis of stress concentration factor, the sharp angle characteristic of TiN inclusions is the main reason for its stronger deterioration to fatigue properties, and the damaging effect of TiN inclusions with the same size to the matrix fatigue properties is about 1.33–1.67 times that of Ca-Al-O inclusions.
Influence of Modification of the Plasticizing System on the Extrusion-Cooking Process and Selected Physicochemical Properties of Rapeseed and Buckwheat Straws
Authors: Kupryaniuk Karol , Oniszczuk Tomasz , Combrzyński Maciej , Lisiecka Katarzyna , Janczak Damian
Published: July 2022

The article discusses the effect of modification of the plasticizing system of a single-screw extruder on selected physicochemical properties of rapeseed straw and buckwheat straw. A TS-45 single-screw extruder (ZMCh Metalchem, Gliwice, Poland) with an L/D = 12 plasticizing system was used for the process. The shredded straws were moistened to four moisture levels: 20, 25, 30 and 35% dry matter. Three different rotational speeds of the extruder screw were applied for the test cycle: 70, 90 and 110 rpm. The following characteristics were determined for the extrusion-cooking process: efficiency and specific mechanical energy. Selected physical properties were determined for the extrudates obtained in the process: water absorption index (WAI), water solubility index (WSI), bulk density, and the efficiency of cumulative biogas and cumulative methane production expressed on dry mass, fresh mass, and fresh organic mass basis. It has been proved that the modification of the plasticizing system had a significant impact on the course of the process and the tested physicochemical properties. An important factor confirming the correctness of the modification is the increase in biogas efficiency. After modification, the highest yield of cumulative biogas from the fresh mass was 12.94% higher than in the sample processed before modification.
Proposal of Major Environmental Impact Categories of Construction Materials Based on Life Cycle Impact Assessments
Authors: Jang Hyeong-Jae , Ahn Yong-Han , Tae Sung-Ho
Published: July 2022

The “Korean New Deal” policy in South Korea emphasizes the necessity of a substantial and timely response to global climate change. In addition to carbon emissions, construction materials have various environmental impacts that necessitate serious considerations. Therefore, this study aimed to identify the major environmental impact categories of construction materials that reflect their diverse environmental impact characteristics using life cycle assessment. To this end, eight environmental impact categories were assessed for seven major construction materials. The contributions of all construction materials to these environmental impact categories were then analyzed to derive major environmental impact categories with contributions ≥95% or higher for each construction material. Consequently, global warming potential and abiotic depletion potential were derived as major environmental impact categories for all seven construction materials. In the case of ready-mixed concrete and cement, the photochemical oxidant creation potential was also found to be an environmental impact category that needs to be considered further. Thus, a study that defines environmental impacts must be considered in conjunction with the carbon emissions of building materials, and presenting the criteria for evaluating the defined environmental impacts is essential.
Queueing Theory-Based Mathematical Models Applied to Enterprise Organization and Industrial Production Optimization
Authors: Rece Laurentiu , Vlase Sorin , Ciuiu Daniel , Neculoiu Giorgian , Mocanu Stefan , Modrea Arina
Published: July 2022

In the paper, a new method was presented using queueing theory models in order to ensure an optimal production department size, optimized production costs and optimal provision. Queueing/waiting mathematical models represent the development matrix for an experimental algorithm and implicitly numerical approach, both successfully applied (and confirmed in practice) in a production section design for a real industrial engineering unit with discussed method technological flow and equipment schemes compatibility. The total costs for a queueing system with S servers depend on the number of servers. The problem of minimizing cost in terms of S was the main aim of the paper. In order to solve it, we estimated all the variables of the system that influence the cost using the Monte Carlo method. For a Jackson queueing network, the involved linear system has good properties such that it can be solved by iterative methods such as Jacobi and Gauss–Seidel.
Exact Solutions and Non-Traveling Wave Solutions of the (2+1)-Dimensional Boussinesq Equation
Authors: Gao Lihui , Guo Chunxiao , Guo Yanfeng , Li Donglong
Published: July 2022

By the extended (G′G) method and the improved tanh function method, the exact solutions of the (2+1) dimensional Boussinesq equation are studied. Firstly, with the help of the solutions of the nonlinear ordinary differential equation, we obtain the new traveling wave exact solutions of the equation by the homogeneous equilibrium principle and the extended (G′G) method. Secondly, by constructing the new ansatz solutions and applying the improved tanh function method, many non-traveling wave exact solutions of the equation are given. The solutions mainly include hyperbolic, trigonometric and rational functions, which reflect different types of solutions for nonlinear waves. Finally, we discuss the effects of these solutions on the formation of rogue waves according to the numerical simulation.
Knowledge-Based Scene Graph Generation with Visual Contextual Dependency
Authors: Zhang Lizong , Yin Haojun , Hui Bei , Liu Sijuan , Zhang Wei
Published: July 2022

Scene graph generation is the basis of various computer vision applications, including image retrieval, visual question answering, and image captioning. Previous studies have relied on visual features or incorporated auxiliary information to predict object relationships. However, the rich semantics of external knowledge have not yet been fully utilized, and the combination of visual and auxiliary information can lead to visual dependencies, which impacts relationship prediction among objects. Therefore, we propose a novel knowledge-based model with adjustable visual contextual dependency. Our model has three key components. The first module extracts the visual features and bounding boxes in the input image. The second module uses two encoders to fully integrate visual information and external knowledge. Finally, visual context loss and visual relationship loss are introduced to adjust the visual dependency of the model. The difference between the initial prediction results and the visual dependency results is calculated to generate the dependency-corrected results. The proposed model can obtain better global and contextual information for predicting object relationships, and the visual dependencies can be adjusted through the two loss functions. The results of extensive experiments show that our model outperforms most existing methods.
Multimode Process Monitoring Based on Modified Density Peak Clustering and Parallel Variational Autoencoder
Authors: Yu Feng , Liu Jianchang , Liu Dongming
Published: July 2022

Clustering algorithms and deep learning methods have been widely applied in the multimode process monitoring. However, for the process data with unknown mode, traditional clustering methods can hardly identify the number of modes automatically. Further, deep learning methods can learn effective features from nonlinear process data, while the extracted features cannot follow the Gaussian distribution, which may lead to incorrect control limit for fault detection. In this paper, a comprehensive monitoring method based on modified density peak clustering and parallel variational autoencoder (MDPC-PVAE) is proposed for multimode processes. Firstly, a novel clustering algorithm, named MDPC, is presented for the mode identification and division. MDPC can identify the number of modes without prior knowledge of mode information and divide the whole process data into multiple modes. Then, the PVAE is established based on distinguished multimode data to generate the deep nonlinear features, in which the generated features in each VAE follow the Gaussian distribution. Finally, the Gaussian feature representations obtained by PVAE are provided to construct the statistics H2, and the control limits are determined by the kernel density estimation (KDE) method. The effectiveness of the proposed method is evaluated by the Tennessee Eastman process and semiconductor etching process.
The Binomial–Natural Discrete Lindley Distribution: Properties and Application to Count Data
Authors: Shafiq Shakaiba , Khan Sadaf , Marzouk Waleed , Gillariose Jiju , Jamal Farrukh
Published: July 2022

In this paper, a new discrete distribution called Binomial–Natural Discrete Lindley distribution is proposed by compounding the binomial and natural discrete Lindley distributions. Some properties of the distribution are discussed including the moment-generating function, moments and hazard rate function. Estimation of the distribution’s parameter is studied by methods of moments, proportions and maximum likelihood. A simulation study is performed to compare the performance of the different estimates in terms of bias and mean square error. SO2 data applications are also presented to see that the new distribution is useful in modeling data.
Application of Double Piping Theory to Parallel-Arrayed Low-Pressure Membrane Module Header Pipe and Experimental Verification of Flow Distribution Evenness
Authors: Park No-Suk , Yoon Sukmin , Jeong Woochang , Jeong Yong-Wook
Published: July 2022

In this study, the improvement effect of flow distribution evenness is evaluated quantitatively by applying the double piping theory to a parallel-arrayed low-pressure membrane module header pipe structure, and its feasibility is discussed. Orifice inner pipes to be inserted into a full-scale membrane module header pipe are designed via the computational fluid dynamics (CFD) technique, and the flow rates into 10 membrane modules are measured in real time using a portable ultrasonic flowmeter during operation to verify the effect. Results of CFD simulation and actual measurements show that the outflow rate from the branch pipe located at the end of the existing header pipe is three times higher than the flow rate from the branch pipe near the inlet. By inserting two inner pipes (with an open end and a closed end into the existing header pipe) and applying the double pipe theory, the flow distribution evenness is improved. The CFD simulation and experimental results show that the flow uniformity can be improved by more than 70% and 50%, respectively.
Effects of Deep Rolling on the Microstructure Modification and Fatigue Life of 35Cr2Ni4MoA Bolt Threads
Authors: Wang Xianmo , Xiong Xiyao , Huang Kanghua , Ying Shaojun , Tang Mingjun , Qu Xinhe , Ji Wen , Qian Chengkai , Cai Zhipeng
Published: July 2022

Stress concentration on a bolt thread, resulting from its own special shape, poses a threat to the fatigue strength of the bolt, which directly affects the safety and reliability of aircraft. In this paper, deep rolling was applied to a bolt thread to improve its fatigue resistance. The properties of the plastic deformation layer, including the surface morphology, microstructure, hardness, and residual stress, as well as the fatigue life of the bolt, were characterized by means of SEM, white light interferometer, EBSD, and fatigue tests. The results showed that the surface roughness of the bottom of the thread was reduced to 0.255 μm, and a plastic deformation layer of about 300 μm in depth was formed after rolling. A more compact streamlined fibrous microstructure, composed of refined grains, with increased dislocation density and hardness and decreased tensile residual stress, was formed in the plastic deformation layer. The fatigue life of the bolts after rolling increased by about 113%, evidencing the comprehensive result of these microstructure modifications.
Effects of Metal and Fluoride Powders Deposition on Hot-Cracking Susceptibility of 316L Stainless Steel in TIG Welding
Authors: Touileb Kamel , Ouis Abousoufiane , Hedhibi Abdeljlil Chihaoui , Ibrahim Albaijan , Abdo Hany S.
Published: July 2022

This study aims to investigate the effects on the hot cracking susceptibility of fluoride powders such as CaF2, NaF, LiF, and metal powders such as Mn, Ti, Nb and mixed Ti-Nb deposited on the 316L stainless steel during the TIG (Tungsten Inert Gas) welding process. A self-restraint hot cracking bench test using specimens of trapezoidal shape and 3 mm of thickness was selected. The obtained results of the weldability with the different powders were compared with those obtained with the conventional TIG parent-metal weld. The susceptibility to hot cracking was evaluated by the length of the crack and by the critical width at the end of the crack propagation. The formed cracks were first revealed by the liquid penetrant test, and then the surfaces of cracks were observed and analyzed by SEM-EDS-XRD tools. Among the powders tested, single Nb powder and the mixed flux of 80% Nb + 20% Ti exhibited the lowest crack length. The crack propagation ended at 22 mm of length and 30.8 mm of width. The analyses of the fracture surfaces of cracks revealed the presence of Niobium carbide (Nb2C), titanium, chromium, niobium oxide (TiO0.6Cr0.2Nb0.0202) complex compounds and cementite (Fe3C) at the interdendritic zones.
Casting Alloy Design and Characterization
Authors: Da Costa Eleani Maria , Dos Santos Carlos Alexandre
Published: July 2022

Metal casting processes routinely used in the foundry industry (e.g., gravity or pressure casting) are subject to a wide range of operational parameters. Since there is a close correlation between solidification conditions, microstructure, and properties, the effects of the solidification thermal parameters and alloying elements on microstructure designs and the resulting properties in cast alloys have stimulated new research interest. Thus, this Special Issue aims to collect research articles focused on the design and characterization of cast alloys, especially on the interrelationship between solidification, microstructure, and properties; both experimental and theoretical research are welcome for contribution.
Non-Invasive Spectroscopy for Measuring Cerebral Tissue Oxygenation and Metabolism as a Function of Cerebral Perfusion Pressure
Authors: Acharya Deepshikha , Mukherjea Ankita , Cao Jiaming , Ruesch Alexander , Schmitt Samantha , Yang Jason , Smith Matthew A. , Kainerstorfer Jana M.
Published: July 2022

Near-infrared spectroscopy (NIRS) and diffuse correlation spectroscopy (DCS) measure cerebral hemodynamics, which in turn can be used to assess the cerebral metabolic rate of oxygen (CMRO2) and cerebral autoregulation (CA). However, current mathematical models for CMRO2 estimation make assumptions that break down for cerebral perfusion pressure (CPP)-induced changes in CA. Here, we performed preclinical experiments with controlled changes in CPP while simultaneously measuring NIRS and DCS at rest. We observed changes in arterial oxygen saturation (~10%) and arterial blood volume (~50%) with CPP, two variables often assumed to be constant in CMRO2 estimations. Hence, we propose a general mathematical model that accounts for these variations when estimating CMRO2 and validate its use for CA monitoring on our experimental data. We observed significant changes in the various oxygenation parameters, including the coupling ratio (CMRO2/blood flow) between regions of autoregulation and dysregulation. Our work provides an appropriate model and preliminary experimental evidence for the use of NIRS- and DCS-based tissue oxygenation and metabolism metrics for non-invasive diagnosis of CA health in CPP-altering neuropathologies.