bluuebunny/crossref_metadata_2025 huggingface dataset:
Microstructure Evolution of Alloy 800H during Cold Rolling and Subsequent Annealing
Authors: Dong Qingshan , Wang Qiang , Long Fei
Published: June 2024

The microstructure evolution during the cold rolling and subsequent annealing of Alloy 800H was investigated. Two distinct rolling methods, unidirectional rolling and cross-rolling, were introduced. Cracks were observed in the cross-rolled plates, while such cracks did not appear in the unidirectionally rolled plates, which indicated better ductility during the unidirectional rolling process. The difference between the two different rolling methods was explained by the evolution of Schmit factors during the deformation. A higher volume fraction of large, deformed grains was observed in the cross-rolled plates than in the unidirectionally rolled plates. Abnormal grain growth was observed in the cross-rolled specimens after annealing while no abnormal grain growth was seen in the unidirectionally rolled ones. In addition, the recrystallization occurred faster in plates from unidirectional rolling than from cross-rolling.
Optimization of Clinching Joint Process with Preforming between Ultra-High-Strength Steel and Aluminum Alloy Sheets
Authors: Fu Lun , Zhang Shanyin , Qiu Ping , Xiao Hong , Deng Boran , Lu Xiaoxin
Published: June 2024

With the rapid development of lightweight automobiles, the clinching joint technology of ultra-high-strength steel with aluminum alloy sheets have been paid more and more attention. However, due to significant differences in plastic deformation capabilities between the two metals, particularly the difficulty of steel sheet deformation, conventional clinching processes often result in insufficient joint interlocking or fracture issues. Although the preliminary use of clinching processes with preforming methods has shown some effectiveness in connecting two types of sheets, the bond strength is not high. This study employs finite element simulation and orthogonal optimization methods to investigate the impact of relevant process parameters on joint morphology in clinching processes with preforming. Under the condition of optimizing process parameters, a clinching punch with an added pressure-step structure was proposed to compact the joint and further enhance joint quality. Experimental verification demonstrates the feasibility of the improved clinching processes with preforming for bonding ultra-high-strength steel and aluminum alloy sheets.
First Seroepidemiological Study of Toxoplasma gondii Infection in Dromedaries (Camelus dromedarius) in Southern Tunisia
Authors: Jeljli Afef , Rekik Syrine , Ben Smida Boubaker , Chandoul Walid , Sassi Limam , Gharbi Mohamed
Published: June 2024

Toxoplasma gondii is one of the most common zoonotic parasites worldwide, with infections in humans as well as in all mammals, including dromedaries, that affect reproductive health, leading to malformations and abortions. In the current study, we estimated, for the first time in Tunisia, the seroprevalence of T. gondii antibodies and its associated risk factors in dromedaries (Camelus dromedarius) using the enzyme-linked immunosorbent assay (ELISA) technique. A total of 248 sera samples were collected from dromedaries living in Médenine and Tataouine governorates, South Tunisia. The overall seroprevalence of T. gondii was estimated to be 29.8 ± 2.9% (74/248) with a significantly higher seroprevalence rate in dromedaries from Médenine (52.5 ± 7.9%; 21/40) compared to Tataouine (25.5 ± 3%; 53/208); it was also higher in dromedaries kept in intensive farming systems (55 ± 11.1%; 11/20) compared to extensive systems (27.6 ± 3%; 63/228), in non-pregnant females (39 ± 4%; 57/146) compared to pregnant ones (16.7 ± 3.7%; 17/102), and in those in contact with cats (66.7 ± 8.6%; 20/30) compared to those with no contact with cats (24.8 ± 2.9%; 54/218). The present study should be followed by others to explore the role of dromedaries in the epidemiological cycle of T. gondii in Southern Tunisia.
A Study on the Distribution of Microplastics in the South Coast of Korea and Gwangyang Bay
Authors: Min Byeong-Kyu , Cho Chon-Rae , Cheon Hwi-Su , Soh Ho-Young , Cho Hyeon-Seo
Published: June 2024

Microplastic distribution surveys centered on Korea’s Gwangyang Bay and southern coastal waters. Gwangyang Bay seawater averaged 3.17 ± 1.23 particles/L, and sediments averaged 462.4 ± 143.9 particles/kg. The southern coastal seawater averaged 0.10 ± 0.09 particles/L, and the sediments averaged 50.6 ± 29.7 particles/kg. Microplastics flowing from land, through physical modeling of ocean currents in Gwangyang Bay and southern coastal waters, pass through the Yeosu Strait and flow into the southern coastal waters. At the same time, it is judged that the southern coastal waters showed somewhat lower abundance than the Gwangyang Bay waters because they move toward the Korean Strait due to the Jeju warm current water and Tsushima current water, strongly generated in summer. In addition, the seawater microplastic abundance showed a higher abundance than that on the site adjacent to the land in the southern coastal waters, which is the study area. On the other hand, the results for sediment microplastic abundance were opposite to the surface seawater microplastic results. Therefore, it is judged that entering one source of pollution does not affect the distribution of microplastics in Gwangyang Bay and southern coastal waters, but rather this occurs in different forms.
Correctness Verification of Mutual Exclusion Algorithms by Model Checking
Authors: Nigro Libero , Cicirelli Franco
Published: June 2024

Mutual exclusion algorithms are at the heart of concurrent/parallel and distributed systems. It is well known that such algorithms are very difficult to analyze, and in the literature, different conjectures about starvation freedom and the number of by-passes (also called the overtaking factor) exist. The overtaking factor affects the (hopefully) bounded waiting time that a process competing for entering the critical section has to suffer before accessing the shared resource. This paper proposes a novel modeling approach based on Timed Automata and the Uppaal toolset, which proves effective for studying all the properties of a mutual exclusion algorithm for N≥2 processes, by exhaustive model checking. Although the approach, as already confirmed by similar experiments reported in the literature, is not scalable due to state explosion problems and can be practically applied until N≤5, it is of great value for revealing the true properties of analyzed algorithms. For dimensions N>5, the Statistical Model Checker of Uppaal can be used, which, although based on simulations, can confirm properties by estimations and probabilities. This paper describes the proposed modeling and verification method and applies it to several mutual exclusion algorithms, thus retrieving known properties but also showing new results about properties often studied by informal reasoning.
Experimental Evaluation of Performance of a Low-Initial-Viscosity Gel Flooding System
Authors: Fu Cheng , Huang Bin , Zhang Wei , Zhang Weisen , He Shibo
Published: June 2024

In order to effectively adjust reservoir heterogeneity and further exploit the remaining oil, a new type of low-viscosity gel was prepared by adding a regulating agent, retarder, and reinforcing agent on the basis of a polymer + Cr3+ crosslinking system. The new gel has the advantages of low initial viscosity, a slow gel formation rate, and high strength after gel formation. The effectiveness of the gel was verified through three-layer core displacement experiments, and the injection scheme was optimized by changing the slug combination of the polymer and the gel. The results showed that the gel can effectively block the high-permeability layer and adjust reservoir heterogeneity. An injection of 0.1 pore volume (PV) low-initial-viscosity gel can improve oil recovery by 5.10%. By changing the slug combination of the gel and polymer, oil recovery was further increased by 3.12% when using an injection of 0.07 PV low-initial-viscosity gel +0.2 PV high-concentration polymer +0.05 PV low-initial-viscosity gel +0.5 PV high-concentration polymer.
Tritium-Labeled Nanodiamonds as an Instrument to Analyze Bioprosthetic Valve Coatings: A Case of Using a Nanodiamond Containing Coating on a Pork Aorta
Authors: Chernysheva Maria G. , Shen Tianyi , Badun Gennadii A. , Mikheev Ivan V. , Chaschin Ivan S. , Tsygankov Yuriy M. , Britikov Dmitrii V. , Hugaev Georgii A. , Bakuleva Natalia P.
Published: June 2024

Coatings with xenogenic materials, made of detonation nanodiamonds, provide additional strength and increase elasticity. A functionally developed surface of nanodiamonds makes it possible to apply antibiotics. Previous experiments show the stability of such coatings; however, studies on stability in the bloodstream and calcification of the material in natural conditions have yet to be conducted. Tritium-labeled nanodiamonds (negative and positive) were obtained by the tritium activation method and used to develop coatings for a pork aorta to analyze their stability in a pig’s bloodstream using a radiotracer technique. A chitosan layer was applied from a solution of carbonic acid under high-pressure conditions to prevent calcification. The obtained materials were used to prepare a porcine conduit, which was surgically stitched inside the pig’s aorta for four months. The aorta samples, including nanodiamond-coated and control samples, were analyzed for nanodiamond content and calcium, using the radiotracer and ICP-AES methods. A histological analysis of the materials was also performed. The obtained coatings illustrate a high in vivo stability and low levels of calcification for all types of nanodiamonds. Even though we did not use additional antibiotics in this case, the development of infection was not observed for negatively charged nanodiamonds, opening up prospects for their use in developing coatings.
Transition Metal Selenide-Based Anodes for Advanced Sodium-Ion Batteries: Electronic Structure Manipulation and Heterojunction Construction Aspect
Authors: Li Lingxiao , Wang Shuotong , Peng Jinyang , Lai Junliang , Zhang Heng , Yang Jun
Published: June 2024

In recent years, sodium-ion batteries (SIBs) have gained a foothold in specific applications related to lithium-ion batteries, thanks to continuous breakthroughs and innovations in materials by researchers. Commercial graphite anodes suffer from small interlayer spacing (0.334 nm), limited specific capacity (200 mAh g−1), and low discharge voltage (<0.1 V), making them inefficient for high-performance operation in SIBs. Hence, the current research focus is on seeking negative electrode materials that are compatible with the operation of SIBs. Many studies have been reported on the modification of transition metal selenides as anodes in SIBs, mainly targeting the issue of poor cycling life attributed to the volume expansion of the material during sodium-ion extraction and insertion processes. However, the intrinsic electronic structure of transition metal selenides also influences electron transport and sodium-ion diffusion. Therefore, modulating their electronic structure can fundamentally improve the electron affinity of transition metal selenides, thereby enhancing their rate performance in SIBs. This work provides a comprehensive review of recent strategies focusing on the modulation of electronic structures and the construction of heterogeneous structures for transition metal selenides. These strategies effectively enhance their performance metrics as electrodes in SIBs, including fast charging, stability, and first-cycle coulombic efficiency, thereby facilitating the development of high-performance SIBs.
Sedimentation of a Charged Soft Sphere within a Charged Spherical Cavity
Authors: Lin Yong-Jie , Keh Huan J.
Published: June 2024

The sedimentation of a soft particle composed of an uncharged hard sphere core and a charged porous surface layer inside a concentric charged spherical cavity full of a symmetric electrolyte solution is analyzed in a quasi-steady state. By using a regular perturbation method with small fixed charge densities of the soft sphere and cavity wall, a set of linearized electrokinetic equations relevant to the fluid velocity field, electrical potential profile, and ionic electrochemical potential energy distributions are solved. A closed-form formula for the sedimentation velocity of the soft sphere is obtained as a function of the ratios of core-to-particle radii, particle-to-cavity radii, particle radius-to-Debye screening length, and particle radius-to-porous layer permeation length. The existence of the surface charge on the cavity wall increases the settling velocity of the charged soft sphere, principally because of the electroosmotic enhancement of fluid recirculation within the cavity induced by the sedimentation potential gradient. When the porous layer space charge and cavity wall surface charge have the same sign, the particle velocity is generally enhanced by the presence of the cavity. When these fixed charges have opposite signs, the particle velocity will be enhanced/reduced by the presence of the cavity if the wall surface charge density is sufficiently large/small relative to the porous layer space charge density in magnitude. The effect of the wall surface charge on the sedimentation of the soft sphere increases with decreases in the ratios of core-to-particle radii, particle-to-cavity radii, and particle radius-to-porous layer permeation length but is not a monotonic function of the ratio of particle radius-to-Debye length.
3D Printing of High-Porosity Membranes with Submicron Pores for Microfluidics
Authors: Hoskins Julia K. , Zou Min
Published: June 2024

In this study, we investigate the potential of two-photon lithography (2PL) as a solution to the challenges encountered in conventional membrane fabrication techniques, aiming to fabricate tailor-made membranes with high-resolution submicron pore structures suitable for advanced applications. This approach led to the development of fabrication techniques and printed membranes that can be adapted to various lab-on-a-chip (LOC) devices. Membranes were fabricated with pore diameters as small as 0.57 µm and porosities of 4.5%, as well as with larger pores of approximately 3.73 µm in diameter and very high porosities that reached up to 60%. Direct 3D printing of membranes offers a pathway for fabricating structures tailored to specific applications in microfluidics, enabling more efficient separation processes at miniature scales. This research represents a significant step towards bridging the gap between membrane technology and microfluidics, promising enhanced capabilities for a wide array of applications in biotechnology, chemical analysis, and beyond.
Experiences of Nursing Students Regarding Challenges and Support for Resilience during Clinical Education: A Qualitative Study
Authors: Aryuwat Pimwalunn , Holmgren Jessica , Asp Margareta , Radabutr Matanee , Lövenmark Annica
Published: June 2024

Nursing students require resilience to navigate the complexities of clinical practice. This characteristic is essential for managing demanding workloads, unpredictable patient situations, and emotional stressors while maintaining performance and well-being. Fostering resilience helps students develop the capacity to adapt to adversity, overcome setbacks, and remain committed to providing high-quality patient care. This qualitative study explores the challenges and supports influencing nursing students’ resilience during clinical education. Interviews with 28 Thai nursing students revealed two key themes: the “experience of vulnerability” and the “experience of meaningfulness”. The sub-themes of vulnerability included “navigating uncertainty”, “transcending professional struggles”, and “being exposed to diverse encounters”. The sub-themes of meaningfulness focused on restoring strength through social interactions and engaging in positive transformation. This study highlights the need for comprehensive support systems that address personal and professional vulnerabilities. Integrating caring theory principles could further enhance resilience by emphasizing compassionate care and fostering student empathy. This suggests that instructors and stakeholders can significantly impact student well-being by creating supportive environments built on collaboration, empathy, and mentorship, all of which are aligned with caring theory.
Cetacean Strandings along the Bulgarian Coast of the Black Sea in 2010–2022
Authors: Popov Dimitar , Meshkova Galina
Published: June 2024

Cetacean strandings are valuable sources of data about their life history, health status, population trends, and impact of threats. We examined the strandings along the Bulgarian coast of the Black Sea for a period of 13 years from 2010 to 2022. A total of 1528 cetacean strandings of all three species inhabiting the basin were recorded: 1031 harbour porpoises Phocoena phocoena, 199 bottlenose dolphins Tursiops truncatus, 97 common dolphins Delphinus delphis, 19 delphinids and 182 unidentified. The highest numbers were observed in 2016 and 2022. Monthly peaks for harbour porpoise and bottlenose dolphin were in July and August and for common dolphin in May. An unusually high mortality of porpoise neonates was recorded in 2015 and 2016. The overall sex ratio showed a slightly higher share of males at 120:100. This bias was the most pronounced for males of common dolphins. Spatial distribution varied interspecifically but was predominantly along the southern coast. Bycatch signs were detected in 80 animals including during the turbot fishing ban period, suggesting the existence of illegal fishing operations. All of this highlights the need for better reinforcement and control to ensure both the conservation of endangered cetaceans and the sustainability of fisheries. Improvement in data collection is needed to improve the quality of information.
Evaluating the Interaction of Emerging Diseases on White-Tailed Deer Populations Using an Agent-Based Modeling Approach
Authors: Strasburg Miranda , Christensen Sonja
Published: June 2024

Disease co-occurrence in wildlife populations is common yet understudied. In the case of disease-caused mortality, the mortality attributed to one disease has the potential to buffer populations against subsequent alternative disease outbreaks by reducing populations and thus contacts needed to sustain disease transmission. However, substantial disease-driven population declines may also prevent populations from recovering, leading to localized extinctions. Hemorrhagic disease (HD), a vector-transmitted, viral disease in white-tailed deer (WTD), similar to chronic wasting disease (CWD), a prion disease, has increased in frequency and distribution in the United States. However, unlike CWD, which progresses slowly, HD can cause mortality only days after infection. Hemorrhagic disease outbreaks can result in substantial localized mortality events in WTD near vector habitats such as wetlands and may reduce local deer densities and consequent CWD transmission. The objective of our study was to evaluate the potential for HD outbreaks to buffer CWD risk where the diseases co-occur. Using an agent-based modeling approach, we found that frequent, intense HD outbreaks have the potential to mitigate CWD risk, especially if those outbreaks occur shortly after CWD introduction. However, HD outbreaks that do not result in substantial WTD mortality are unlikely to impact CWD or WTD population dynamics. Severe HD outbreaks may reduce CWD cases and could present an opportunity for managers to boost CWD control initiatives in a post-HD outbreak year.
Is It Safe to Operate without Frozen Section Biopsies in Short-Segment Hirschsprung’s Disease? An Overview of 60 Cases
Authors: Ademaj Isber , Hyseni Nexhmi , Gjonbalaj Naser
Published: June 2024

Background: Advancements in surgical management in a single-stage procedure made intraoperative frozen section biopsies critical for determining of level of resection to avoid the potential risk of leaving a retained aganglionic segment. However, in most low-income countries, due to the lack of this facility, the surgeon’s intraoperative judgment is used for the determination of the resection level. Objective: This study aims to evaluate the accuracy of determining the level of bowel resection in short-segment Hirschsprung’s disease based on macroscopic changes. Materials and methods: Intraoperative macroscopic evaluations were assessed using postoperative microscopic findings to determine whether the surgeons’ intraoperative judgments were accurate in determining the level of bowel resection in 60 cases of operated short-segment Hirschsprung’s disease. In addition, Pearson’s correlation coefficient was used to determine whether the sensitivity and specificity of both methods were significantly correlated. Results: The microscopic results showed that the level of resection based on the macroscopic evaluation was performed in normally ganglionated segment in cases of short-segment Hirschsprung’s disease. Conclusions: Macroscopic intraoperative assessment by an experienced surgeon is highly accurate method of determining the level of bowel resection in short-segment HSCR.
Considering the Possible Role of Pharmacists According to the Presence or Absence of Lifestyle-Related Diseases at the Time of Coronary CT Examination and Trends of Medication Use for These Diseases by Medical Doctors
Authors: Miura-Takahashi Erika , Tashiro Kohei , Shiga Yuhei , Kawahira Yuto , Higashi Sara , Otsu Yuki , Kamimura Hidetoshi , Miura Shin-ichiro
Published: June 2024

Background: Because patients often already have coronary artery disease (CAD) at the time of a coronary artery computed tomography angiography (CCTA) examination, we examined the medications prescribed by medical doctors for lifestyle-related diseases and investigated what possible role pharmacists can play in prescribing. Methods: Patients (n = 1357) who underwent CCTA examination were divided into two groups according to the presence or absence of lifestyle-related diseases [hypertension (HTN), dyslipidemia (DL) and diabetes mellitus (DM)], and the relationship between the presence or absence of CAD was examined. Results: The rate of CAD was significantly higher in patients with HTN, DL or DM than in patients without these diseases. The blood pressure in the HTN group was 140 ± 20/79 ± 13 mmHg, the low-density lipoprotein cholesterol value in the DL group was 119 ± 35 mg/dL, and the hemoglobin A1c value in the DM group was 7.0 ± 1.1%, all of which were poorly controlled. Anti-hypertensive drugs were used at low rates in the HTN group, statins were used in 47% and ezetimibe was used in 4% of the DL group, and dipeptidyl peptidase-4 inhibitors were used in 41% of the DM group. Conclusions: Since the rate of CAD (+) was high and control of the three major lifestyle-related diseases was poor, pharmacists should advise medical doctors to use combinations of drugs.
Relations between Shot Noise, Gain Bandwidth, and Saturation of Instabilities
Authors: Jing Yichao , Litvinenko Vladimir N. , Ma Jun , Wang Gang
Published: June 2024

There are numerous instabilities present in charged particle beams that undergo exponential growth and reach saturation. In various applications, such as free-electron lasers or micro-bunching light sources, achieving saturation is desirable. Conversely, there are applications where these instabilities are utilized as linear broad-band amplifiers for signals embedded in the charged beam. In the latter scenario, the saturation of an instability induces non-linear distortions in the imprinted signal, thereby limiting the useful range of such amplifiers. Accurate evaluation of these instabilities necessitates a complete and comprehensive modeling approach that includes shot noise within the beam. Unfortunately, such modeling is not always feasible or practical. In this paper, we introduce a methodology utilizing the frequency and bandwidth of the instability as key parameters. Through this, we derive an estimation for the range of linear instability growth. Our derivation is conducted in a model-independent manner, making it applicable to a broad spectrum of instabilities. To validate our approach, we employ established and thoroughly benchmarked simulations with a free electron laser (FEL) code as well as self-consistent 3-dimensional simulation of plasma-cascade instability using code SPACE.
Integrative Transcriptomics and Proteomics Analysis of a Cotton Mutant yl1 with a Chlorophyll-Reduced Leaf
Authors: Lu Hejun , Xiao Yuyang , Liu Yuxin , Zhang Jiachen , Zhao Yanyan
Published: June 2024

Leaf color mutants serve as ideal materials for studying photosynthesis, chlorophyll metabolism, and other physiological processes. Here, we identified a spontaneous yellow-leaf mutant (yl1) with chlorophyll-reduced leaves from G. hirsutum L. cv ZM24. Compare to wild type ZM24 with green leaves, yl1 exhibited patchy yellow leaves and reduced chlorophyll content. To further explore the mechanisms of the patchy yellow phenotype of the mutant plant, the transcriptomics and proteomics profiles were conducted for the mutant and wild types. A total of 9247 differentially expressed genes (DEGs) and 1368 differentially accumulated proteins (DAPs) were identified. Following gene ontology (GO) annotation and KEGG enrichment, the DEGs/DAPs were found to be significantly involved in multiple important pathways, including the obsolete oxidation-reduction process, photosynthesis, light-harvesting, the microtubule-based process, cell redox homeostasis, and the carbohydrate metabolic process. In photosynthesis and the light-harvesting pathway, a total of 39 DAPs/DEGs were identified, including 9 genes in the PSI, 7 genes in the PS II, 9 genes in the light-harvesting chlorophyll protein complex (LHC), 10 genes in the PsbP family, and 4 genes in the cytochrome b6/f complex. To validate the reliability of the omics data, GhPPD1, a DAPs in the PsbP family, was knocked down in cotton using the TRV-based VIGS system, and it was observed that the GhPPD1-silenced plants exhibited patchy yellow color, accompanied by a significant decrease in chlorophyll content. In conclusion, this study integrated transcriptomic and proteomic approaches to gain a deeper understanding of the mechanisms underlying the chlorophyll-reduced leaf phenotype.
Revealing the Phenolic Composition and the Antioxidant, Antimicrobial and Antiproliferative Activities of Two Euphrasia sp. Extracts
Authors: Benedec Daniela , Oniga Ilioara , Hanganu Daniela , Vlase Ana-Maria , Ielciu Irina , Crișan Gianina , Fiţ Nicodim , Niculae Mihaela , Bab Timea , Pall Emoke , Vlase Laurian
Published: June 2024

The species of the genus Euphrasia present important medicinal potential according to their traditional uses. However, few studies aim to sustain this fact by scientific evidence. The present study aimed to explore the phytochemical profile and investigate the antioxidant, antimicrobial and antiproliferative potential of E. officinalis subsp. pratensis Fr. (EO) and E. stricta J.P.Wolff ex J.F.Lehm (ES). The tested samples consisted of ethanolic extracts. The identification and quantification of phenolic compounds were performed using spectrophotometric and LC–MS/MS methods. The antioxidant capacity was evaluated using the DPPH, FRAP and xanthine oxidase methods. Antimicrobial properties were screened using disk diffusion, broth microdilution and anti-biofilm assays, while antiproliferative potential was assessed on a colorectal adenocarcinoma human cancer cell line (DLD-1). The LC–MS/MS analysis showed chlorogenic acid and rutin as the dominant constituents in the tested extracts. The antioxidant activity assays showed important capacity for both samples; in vitro antimicrobial and anti-biofilm properties were exhibited, especially against Gram-positive bacteria, and an important inhibitory potential was observed on the proliferation of the DLD-1 cell line. The findings in the present study contribute to the recommendation of EO and ES for the prevention and treatment of oxidative stress-related pathologies, cancer and microbial infections.
Impact of Storage Conditions on Stability of Bioactive Compounds and Bioactivity of Beetroot Extract and Encapsulates
Authors: Postružnik Vesna , Stajčić Slađana , Borjan Dragana , Ćetković Gordana , Knez Željko , Knez Marevci Maša , Vulić Jelena
Published: June 2024

(1) Background: In this study, bioactive compounds (phenolics and betalains) extracted from beetroot were stabilized by encapsulation with maltodextrin and soy protein by the freeze drying method. Stability of bioactive compounds and bioactivities in a beetroot extract and encapsulates during 60 days of storage at 4 °C (without light) and at 25 °C (with and without light) were investigated. (2) Methods: Contents of bioactive compounds and bioactivity (antioxidant activity by DPPH, RP, and ABTS tests; anti-inflammatory and antihyperglycemic activity) were determined. Improvement in stability of bioactives’ content and bioactivity of prepared encapsulates in relation to the extract was observed after storage at room temperature under light conditions. (3) Results: Encapsulation with maltodextrin showed improvement in stability of all studied bioactive parameters, while an encapsulate with soy protein improved stability of bioactives and antioxidant activity compared to the extract. The encapsulated beetroot extract represents a promising food additive for functional foods due to their content of bioactive compounds and consequent bioactivities.
A Novel Data Mining Framework to Investigate Causes of Boiler Failures in Waste-to-Energy Plants
Authors: Wang Dong , Jiang Lili , Kjellander Måns , Weidemann Eva , Trygg Johan , Tysklind Mats
Published: June 2024

Examining boiler failure causes is crucial for thermal power plant safety and profitability. However, traditional approaches are complex and expensive, lacking precise operational insights. Although data-driven approaches hold substantial potential in addressing these challenges, there is a gap in systematic approaches for investigating failure root causes with unlabeled data. Therefore, we proffered a novel framework rooted in data mining methodologies to probe the accountable operational variables for boiler failures. The primary objective was to furnish precise guidance for future operations to proactively prevent similar failures. The framework was centered on two data mining approaches, Principal Component Analysis (PCA) + K-means and Deep Embedded Clustering (DEC), with PCA + K-means serving as the baseline against which the performance of DEC was evaluated. To demonstrate the framework’s specifics, a case study was performed using datasets obtained from a waste-to-energy plant in Sweden. The results showed the following: (1) The clustering outcomes of DEC consistently surpass those of PCA + K-means across nearly every dimension. (2) The operational temperature variables T-BSH3rm, T-BSH2l, T-BSH3r, T-BSH1l, T-SbSH3, and T-BSH1r emerged as the most significant contributors to the failures. It is advisable to maintain the operational levels of T-BSH3rm, T-BSH2l, T-BSH3r, T-BSH1l, T-SbSH3, and T-BSH1r around 527 °C, 432 °C, 482 °C, 338 °C, 313 °C, and 343 °C respectively. Moreover, it is crucial to prevent these values from reaching or exceeding 594 °C, 471 °C, 537 °C, 355 °C, 340 °C, and 359 °C for prolonged durations. The findings offer the opportunity to improve future operational conditions, thereby extending the overall service life of the boiler. Consequently, operators can address faulty tubes during scheduled annual maintenance without encountering failures and disrupting production.
Can Machine Learning Algorithms Contribute to the Initial Screening of Hip Prostheses and Early Identification of Outliers?
Authors: Ghadirinejad Khashayar , Graves Stephen , de Steiger Richard , Pratt Nicole , Solomon Lucian B. , Taylor Mark , Hashemi Reza
Published: June 2024

Registries have significant roles in assessing the comparative performance of devices. Ideally, early identification of outliers should use a time-to-event outcome while reducing the confounding effects of other components in the device and patient characteristics. Machine learning (ML), which contains self-learning algorithms, is one approach to consider many variables simultaneously to reduce the impact of confounding. The principal objective of this study was to investigate the effectiveness of using either random survival forest (RSF) or regularised/unregularised Cox regression to account for patient and associated device confounding factors in comparison with current standard techniques. This study evaluated RSF and regularised/unregularised Cox regression using data from the Australian Orthopaedic Association National Joint Replacement Registry (AOANJRR) to detect outlier devices among 213 individual primary total hip components performed in 163,356 primary procedures from 1 January 2015 to the end of 2019. Device components and patient characteristics were the inputs, and time to first revision surgery was the primary outcome treated as a censored case for death. The effectiveness of the ML approaches was assessed based on the ability to detect the outliers identified by the AOANJRR standard approach. In the study cohort, the standardised AOANJRR approach identified three acetabular components and seven femoral stems as outliers. The ML approaches identified some but not all the outliers detected by the AOANJRR. Both the methods identified three of the same femoral stems, and the RSF identified the other five components, including two of the same acetabular cups and three of the same femoral stems. In addition, both the RSF and Cox techniques detected a number of additional device components that were not previously identified by the standard approach. The results showed that ML may be able to offer a supplementary approach to enhance the early identification of outlier devices. Random survival forest was a more comparable technique to the AOANJRR standard than the Cox regression, but further studies are required to better understand the potential of ML to improve the early identification of outliers.
Exploring the Interplay between Family History of Depression, Negative Life Events, and Social Support in First-Episode Major Depression: Insights from a Pilot Case-Control Study
Authors: Mangalagiu Andrei Gabriel , Riga Sorin , Vasiliu Octavian
Published: June 2024

Although the intricate network of interactions between vulnerability, resilience, and precipitating factors in a first episode of major depression (FEMD) has been investigated from many psychological, social, and neurobiological perspectives, a definitive model that encompasses all these elements is still far from being validated. Integrated into this exploratory approach, the current pilot project examines the influence of social support, life events, and family history of major depression disorder (MDD) on FEMD, providing insights for larger-scale research. The study included 40 participants, 20 with FEMD and 20 age- and gender-matched controls, and examined characteristics of MDD, perceived social support, family history, and stressful life events. The results showed that a higher rate of negative life events increased depression risk, but better social support decreased this risk. The family history of MDD did not predict depression onset, nor did life event exposure affect treatment response, but these results may be related to the small study sample. In conclusion, social support protects against significant depression and unpleasant life experiences, according to this pilot study. Future research should use larger, diverse samples and longitudinal designs to better understand depression’s etiology and improve prevention and therapy.
Eliminating the Second-Order Time Dependence from the Time Dependent Schrödinger Equation Using Recursive Fourier Transforms
Authors: Nelson-Isaacs Sky
Published: June 2024

A strategy is developed for writing the time-dependent Schrödinger Equation (TDSE), and more generally the Dyson Series, as a convolution equation using recursive Fourier transforms, thereby decoupling the second-order integral from the first without using the time ordering operator. The energy distribution is calculated for a number of standard perturbation theory examples at first- and second-order. Possible applications include characterization of photonic spectra for bosonic sampling and four-wave mixing in quantum computation and Bardeen tunneling amplitude in quantum mechanics.
The Effect of Temperature and Treatment Regime on the Physical, Chemical, and Biological Properties of Poultry Litter Biochar
Authors: Clarke Joyce , Olea Maria
Published: June 2024

Poultry litter was converted to biochar by torrefaction and to hydrochar by hydrothermal carbonisation. Many parameters were measured for the resulting chars, to investigate the effects of the production method and production temperature. SEM showed the presence of large quantities of crystalline material on the surface of the biochars. The elemental composition of some crystals was determined as 35% K and 31% Cl. This was confirmed as sylvite (KCl) crystals, which explains the high levels of water-extractable potassium in the biochar and may also be important in germination inhibition. Biochars almost totally inhibited germination, whilst hydrochars decreased germination. Although germination occurred on hydrochar, root growth was severely inhibited. Consequently, the germination index may be better to determine total phytotoxicity as it measures both effects and could be used as a bioassay for chars used as soil amendments. Washing removed germination inhibition in a low-temperature char (350 °C), possibly by removing KCl; however, root toxicity remained. There were very low levels of heavy metals, suggesting they are not the source of toxicity. In biochars, pore mean size decreased with temperature from 350 °C to 600 °C, due to changes in pore size distribution. The mean pore size was measured directly using SEM. The merits of this method are discussed. Low-temperature biochars seem best suited for fuel as they have a high calorific value, high hydrophobicity, a low ash content and a high yield. Higher temperatures are better for soil amendment and sequestration applications with a smaller mean pore size, higher surface area, and higher pH.
Quantifying Recycled Construction and Demolition Waste for Use in 3D-Printed Concrete
Authors: De Villiers Wibke , Mwongo Mwiti , Babafemi Adewumi John , Van Zijl Gideon
Published: June 2024

Despite extensive regulations, the systemic under-reporting of construction and demolition waste generation rates pervades the South African waste sector due to the extensive and active informal waste management practices that are typical of developing countries. This study merges the rapid development of high-technology 3D-printed concrete (3DPC) with the increasing pressure that the built environment is placing on both natural resource consumption and landfill space due to construction and demolition waste (CDW) by establishing an inventory of CDW that is suitable for use in 3DPC in South Africa. This is an essential step in ensuring the technical, economic, and logistical viability of using CDW as aggregate or supplementary cementitious materials in 3DPC. Of the methods considered, the lifetime material analysis and per capita multiplier methods are the most appropriate for the context and available seed data; this results in CDW estimates of 24.3 Mt and 12.2 Mt per annum in South Africa, respectively. This range is due to the different points of estimation for the two methods considered, and the per capita multiplier method provides an inevitable underestimation. In order to contextualise the estimated availability of CDW material for use in concrete in general, the demand for coarse and fine aggregate and supplementary cementitious material in South Africa is quantified as 77.9 Mt. This overall annual demand far exceeds the estimated CDW material (12.2–24.3 Mt) available as an alternative material source for concrete.
Proposition and Application of a Conceptual Model for Risk Management in Rural Areas: Rural Basic Sanitation Safety Plan (RBSSP)
Authors: Baracho Rafaella Oliveira , Bezerra Nolan Ribeiro , Scalize Paulo Sérgio
Published: June 2024

Safe access to drinking water and sanitation is a human right and a key goal of sustainable development, which must also be achieved in rural areas. This work proposes and simulates the application of a conceptual model for a basic sanitation safety plan tailored for rural areas, called the Rural Basic Sanitation Safety Plan (RBSSP). The methodology includes technical and scientific review approaches, followed by consultation with specialists through the Delphi method and simulation in a case study. The RBSSP framework includes six fundamental principles, six steps, and twenty actions to be performed. In the case study, the final conceptual model application was simulated for a rural settlement scenario, which led to significant changes in the actions, subdivisions and phases. Key findings highlight that community participation, involvement and empowerment are the most relevant factors for successful implementation. The necessary tools for RBSSP preparation, such as risk assessment methodologies and management plans, must be applied considering the scenario. Finally, after simulating the conceptual model, we conclude that it is necessary to adapt actions and apply methods and techniques developed and appropriate for rural areas to develop an effective RBSSP for each specific scenario.
The Role of Breast Morphology in Women’s Rival Derogation Tactics
Authors: Garza Ray , Pazhoohi Farid
Published: June 2024

Physical features that are desired by the opposite sex may drive competition between members of the same sex to gain access to potential mates. Women’s breasts are considered sexually attractive to men, and it has been shown that women may engage in competitive tactics to compete with or derogate women with ideal physical traits (i.e., physically attractive features). In the current online study, we investigated Hispanic women’s (n = 114) perceptions of breast stimuli that had been manipulated to display four levels of breast size (A-, B-, C-, and D-cup) and three levels of ptosis (i.e., levels of sagginess: non, low, and high) and their likelihood of engaging in rival derogation tactics, such as verbal and indirect aggression. The findings demonstrated that women were more likely to engage in rival derogation towards women with larger breast sizes. Women’s dispositional level of intrasexual competition did not play a role in rival derogation tactics. The results are in line with previous research suggesting that women’s rival derogation tactics are likely to be targeted towards women with attractive features that are desired by men.
Enhancing Service Quality of On-Demand Transportation Systems Using a Hybrid Approach with Customized Heuristics
Authors: Nasri Sonia , Bouziri Hend , Mtalaa Wassila
Published: June 2024

As customers’ expectations continue to rise, advanced on-demand transport services face the challenge of meeting new requirements. This study addresses a specific transportation issue belonging to dial-a-ride problems, including constraints aimed at fulfilling customer needs. In order to provide more efficient on-demand transportation solutions, we propose a new hybrid evolutionary computation method. This method combines customized heuristics including two exchanged mutation operators, a crossover, and a tabu search. These optimization techniques have been empirically proven to support advanced designs and reduce operational costs, while significantly enhancing service quality. A comparative analysis with an evolutionary local search method from the literature has demonstrated the effectiveness of our approach across small-to-large-scale problems. The main results show that service providers can optimize their scheduling operations, reduce travel costs, and ensure a high level of service quality from the customer’s perspective.
Migration Intention of Rural Farmers to Urban Areas in Bangladesh and Its Determinants: A Partial Least Squares Structural Equation Modelling Approach
Authors: Pervez A. K. M. Kanak , Ishida Akira , Kabir Md Shahriar , Tang Lixia
Published: June 2024

Internal rural-urban migration is becoming a priority in social research. However, no one has systematically studied the intentions of farmers to migrate internally to Bangladesh to seek permanent urban residence via paid employment yet. This paper develops a TPB (theory of planned behaviour) model to explain farmers’ intentions to migrate or not migrate to cities for paid employment; then, this paper tests the model against the data collected. A total 372 individuals (migrated farmers) were randomly chosen from 11,200 families who had left a rural area in Bangladesh to collect quantitative data about the issues raised in the model; the data were collected by a telephone interview. The socioeconomic profile of the respondents fits that of internal migrants identified in the literature, and the Cronbach’s alpha as well as composite reliability statistics suggest that the data are representative of the population. According to the structural equation modelling (SEM) data, attitudes towards migration (ATTs) and subjective norms (SNs) have an impact on migration intention (MI), while perceived behavioural control (PBC) show no significant effect. This study used a primary dataset from interviews with rural migrants working in different sectors in different cities in Bangladesh. This suggests that the planned behaviour model may help explain farmers’ decisions to migrate internally in Bangladesh and that policies based on the model may successfully reduce such migration.
Interpreting the Microwave Spectra of Diatomic Molecules—Part II: Nuclear Quadrupole Coupling of One Nucleus
Authors: Pye Cory C.
Published: June 2024

The effect of nuclear quadrupole coupling of a single nucleus on the rotational spectra of diatomic molecules is given. By careful selection of examples, procedures are given for the analysis of successively more complicated spectra. The microwave spectra of some alkali halides, interhalogen diatomics, and deuterium halides provide excellent examples for analysis and for student exercises.