bluuebunny/crossref_metadata_2025 huggingface dataset:
The osmotic component of ethanol and urea action is critical for their immediate stimulation of thyrotropin-releasing hormone (TRH) release from rat brain septum
Authors: Kučerová J , Štrbák V
Published: June 2024

There is considerable evidence linking alcohol consumption and sedation and TRH in the brain septum. Moreover, innate septal TRH concentration is inversely related to the degree of ethanol preference. Recently we demonstrated in rats that four-week ethanol drinking increased the septal TRH content by 50 %. We had shown previously that ethanol induces neuronal swelling, which is known to evoke the secretion of hormones, peptides and amino acids from various types of cells. We have therefore explored the effect of hyposmotic medium and of 80 and 160 mM ethanol and 80 mM urea (both permeant molecules) in isosmotic and hyperosmotic (preventing cell swelling) media on the in vitro release of TRH by the rat septum. Lowering medium osmolarity resulted in a hyposmolarity-related increase in TRH secretion. Both ethanol and urea stimulated TRH release only in isosmolar solution. Our data indicate that ethanol in clinically relevant concentrations can induce TRH release from the septum by a mechanism involving neuronal swelling.
A comparison of the effects of troglitazone and vitamin E on the fatty acid composition of serum phospholipids in an experimental model of insulin resistance
Authors: Chvojková Š , Kazdová L , Divišová J
Published: June 2024

The aim of this study was to investigate the effects of troglitazone (TRO) - a new insulin-sensitizing agent - on some metabolic parameters in an experimental model of hypertriglyceridemia and insulin resistance, hereditary hypertriglyceridemic rats, and to compare its effects with those of vitamin E, an antioxidant agent. Three groups of the above rats were fed diets with a high content of sucrose (70 % of energy as sucrose) for four weeks. The first group was supplemented with TRO (120 mg/kg diet), the second one with vitamin E (500 mg/kg diet), and the third group served as the control. Vitamin E supplementation did not lower serum triglycerides (2.42±0.41 vs. 3.39±0.37 mmol/l, N.S.) while TRO did (1.87±0.24 vs. 3.39±0.37 mmol/l, p<0.01). Neither TRO nor vitamin E influenced the serum levels of free fatty acids (FFA). Both drugs influenced the spectrum of fatty acids in serum phospholipids - TRO increased the levels of polyunsaturated fatty acids (PUFA) n-6 (36.04±1.61 vs. 19.65±1.56 mol %, p<0.001), vitamin E increased the levels of PUFA n-3 (13.30±0.87 vs. 6.79±0.87 mol %, p<0.001) and decreased the levels of saturated fatty acids (32.97±0.58 vs. 51.45±4.01 mol %, p<0.01). In conclusion, TRO lowered the level of serum triglycerides but vitamin E did not have this effect in hypertriglyceridemic rats. Compared with TRO, vitamin E had a different effect on the spectrum of fatty acids in serum phospholipids.
Hyperinflation: control of functional residual lung capacity
Authors: Paleček F
Published: June 2024

Hyperinflation is the consequence of a dysbalance of static forces (determining the relaxation volume) and/or of the dynamic components. The relaxation volume is determined by an equilibrium between the elastic recoil of the lungs and of the chest walls. The dynamic components include the pattern of breathing, upper airway resistance and postinspiratory activity of inspiratory muscles. The respiratory and laryngeal muscles are under control and thus both static and dynamic hyperinflation can be secured. Our knowledge of the mechanism of increased FRC is based on clinical observations and on experiments. The most frequent stimuli leading to a dynamic increase of functional residual lung capacity (FRC) include hypoxia and vagus afferentation. Regulation of FRC is still and undetermined concept. The controlled increase of FRC, hyperinflation, participates in a number of lung diseases.
A Modified Analytic Hierarchy Process Suitable for Online Survey Preference Elicitation
Authors: Pascoe Sean , Farmery Anna , Nichols Rachel , Lothian Sarah , Azmi Kamal
Published: June 2024

A key component of multi-criteria decision analysis is the estimation of criteria weights, reflecting the preference strength of different stakeholder groups related to different objectives. One common method is the Analytic Hierarchy Process (AHP). A key challenge with the AHP is the potential for inconsistency in responses, resulting in potentially unreliable preference weights. In small groups, interactions between analysts and respondents can compensate for this through reassessment of inconsistent responses. In many cases, however, stakeholders may be geographically dispersed, with online surveys being a more cost-effective means to elicit these preferences, making renegotiating with inconsistent respondents impossible. Further, the potentially large number of bivariate comparisons required using the AHP may adversely affect response rates. In this study, we test a new “modified” AHP (MAHP). The MAHP was designed to retain the key desirable features of the AHP but be more amenable to online surveys, reduce the problem of inconsistencies, and require substantially fewer comparisons. The MAHP is tested using three groups of university students through an online survey platform, along with a “traditional” AHP approach. The results indicate that the MAHP can provide statistically equivalent outcomes to the AHP but without problems arising due to inconsistencies.
Mechanisms of Organizational Mindfulness on Employee Well-Being and Engagement: A Multi-Level Analysis
Authors: Kumprang Kriengkrai , Suriyankietkaew Suparak
Published: June 2024

This article investigates the currently limited multidisciplinary research front in emerging areas of mindfulness practice, employee well-being, and engagement. This evidence-based study aims to explore multifaceted mechanisms on how an organizational mindfulness development may affect well-being and engagement at multiple levels. This study employed a qualitative case study research design using Nvivo 12 software for a data analysis. The job demand–resource (JD-R) model was adopted as a theoretical framework. In-depth interview data were collected from diverse multi-stakeholders, including management and employees, in a Thai manufacturing company. Our findings uncover that the organizational mindfulness program can improve employee’s psychological capital, emotional intelligence, and perceived resources, and alleviate perceived demands. The result implies the importance of the mindfulness practice since it can support well-being and engagement at multiple levels, specifically from individual work and a collective team of colleagues, and toward enhanced organizational performance. Our proposed emergent model also advances the JD-R theoretical framework, by adding mindfulness and emotional intelligence as essential components to enhance engagements at three levels (i.e., work, team, and organizational engagement). Overall, the result critically provides the theoretical development and insightful managerial implications for professional and organizational development.
Ground Management Through Grazing in Rainfed Olive Orchards Provides High Olive Yields and Has Other Potential Benefits for Both the Soil and the Farmer
Authors: Dimande Paulo , Arrobas Margarida , Correia Carlos M. , Rodrigues Manuel Ângelo
Published: June 2024

Soil management in orchards can have several economic and environmental implications. In this study, three different soil management systems were compared in a dry-farmed olive grove: conventional tillage (tillage), glyphosate-based herbicide (herbicide) and sheep grazing. The experiment lasted eleven years (2011–2022) and was carried out after a previous trial conducted on the same plot with the same treatments and duration (2001–2011). However, in the earlier trial, the herbicide and sheep grazing treatments switched positions in the plot, while the tillage treatment remained in its original place. The average total accumulated olive yields between 2011 and 2022 were 225.1, 230.9, and 245.0 kg tree−1 for the sheep grazing, tillage, and herbicide treatments, respectively. However, no significant differences were observed between the treatments. The levels of total organic carbon in the soil, measured in samples collected in the last year of the study, were 41.3, 33.7, and 37.3 g kg−1, respectively, for the same treatments. These findings indicated that the tillage treatment exhibited lower soil organic matter content and reduced bioavailability of some nutrients, which raises concerns about its sustainability. On the contrary, employing sheep grazing with an appropriate stocking rate, effectively controlling vegetation in the spring, ensured favourable soil properties and olive yields comparable to the other treatments. Moreover, the sheep grazing approach provides supplementary advantages to the farmer, including revenue from the sale of animal products and the opportunity to transition to organic farming systems, which better align with the preferences of contemporary societies.
Short-Term Straw Return Combined with Nitrogen Fertilizer Alters the Soil Nitrogen Supply in Rice–Rapeseed Planting Systems
Authors: Wu Haicheng , Zhang Zhi , Hu Cheng , Liu Donghai , Qiao Yan , Xiao Zhuoxi , Wu Yupeng
Published: June 2024

This study aimed to assess the influences of short-term straw return combined with nitrogen (N) fertilizer on crop yield, soil properties, the bacterial community, and soil nitrogen cycling gene abundance in a rice–rapeseed planting system. A two-year field experiment was conducted in a paddy field from 2019 to 2021. There were four treatments in the experiment: −N−S, no N applied with no straw return; −N+S, no N applied with straw return; +N−S, N applied with no straw return; and +N+S, N applied with straw return. The results showed that short-term straw return combined with N fertilizer could increase crop yield and N use efficiency. N fertilizer application had a positive effect on Gemmatimonadota and Desulfobacterota abundance. Straw returning had a positive effect on Desulfobacterota and Proteobacteria abundance. N fertilization significantly increased the abundance of amoA-AOA, amoA-AOB, and nxrB in agricultural soils. Straw return and N fertilization were not conducive to denitrification. We conclude that short-term straw return combined with N fertilizer in rice-growing areas not only increase crop yield and improve crop N uptake but also increase SOM, total N, and NH4+ and improve the soil microbial activity and N use efficiency.
Effects of Interseeding Cover Crops into Corn and Soybean on Biomass Production, Grain Yields and Ecosystem Services: A Review
Authors: Klopp Hans W.
Published: June 2024

Planting cover crops can improve soil health and help to sustain agricultural crop yields. In northern climates where corn (Zea mays L.) and soybean (Glycine max L.) are grown, cover crop biomass production can be low. This has led to people investigating the potential of interseeding cover crops into the growing main crop. This paper sought to determine biomass production and the benefit to grain yields, weed control and soil properties from interseeding cover crops into corn and soybean. This review included 70 studies published prior to 15 March 2024. Interseeded cover crops that were winter-hardy such as cereal rye (Secale cereale L.) produced more biomass in the spring (1.04 Mg ha−1 average biomass production) than any of the interseeded cover crops did in fall (0.35 Mg ha−1 average biomass production), primarily at crop row spacings of 76 cm. Factors that affected cover crop biomass production were crop stage, planting method, tillage practice, irrigation and row spacing. There was not a consistent widely planted cover crop species that produced the most biomass. Interseeded cover crops reduced weed biomass by 46% compared to weed control and generally did not affect crop grain yields when planted after V4 crop stage. Interseeded cover crops reduced soil nitrate concentration but generally did not affect other soil properties including soil water content. However, most of these studies planted cover crops at the same site for less than three years. Early interseeded cover crops generally did not perform better than interseeded winter-hardy cover crops planted around crop physiological maturity.
Enrichment of Grain Anthocyanin Content through Marker-Assisted Breeding for Ant1, Ant2 or HvMyc2 Genes in Barley (Hordeum vulgare L.)
Authors: Kukoeva Tatjana V. , Molobekova Camilla A. , Totsky Igor V. , Vasiliev Gennady V. , Pronozin Artem Yu. , Afonnikov Dmitry A. , Khlestkina Elena K. , Shoeva Olesya Yu.
Published: June 2024

Breeding of cereals with anthocyanin-rich grains is promising for health food production. Here, we transferred genes responsible for activation of anthocyanin biosynthesis in the grain pericarp (Ant1 and Ant2) and aleurone (HvMyc2) to elite barley cultivars Aley, Tanay, and Vorsinsky-2 by marker-assisted backcrossing. Donors were Bowman lines BW648 and BW418. Three pairs of near-isogenic lines (NILs) with purple or blue colored grains were chosen in generation BC6F2 and propagated up to BC6F6. Genotyping-by-sequencing of resulting NILs and parental lines showed that the NILs carry 4.6–17.6% of donor SNPs including those at target loci. Unexpected big blocks of donor SNPs were revealed in some NILs on chromosomes 1H and 5H that do not carry target loci. The NILs possessed 274% and 12% higher anthocyanin (40.0–170.4 μg/g) and total phenolic content (2367.2–4396.8 μg/g), respectively, compared to original cultivars (18.3–33.1 μg/g and 2319.6–3768.5 μg/g). On average, antioxidant activity was 14% higher, although some lines showed reduced activity. NILs’ productivity depended on growth conditions and was similar to that of the recurrent cultivars. Hence, the applied breeding strategy is an effective approach to enrichment of grain anthocyanin content in barley.
Foliar Application of Wood Distillate Protects Basil Plants against Ozone Damage by Preserving Membrane Integrity and Triggering Antioxidant Mechanisms
Authors: Bianchi Gemma , Fedeli Riccardo , Mariotti Lorenzo , Pisuttu Claudia , Nali Cristina , Pellegrini Elisa , Loppi Stefano
Published: June 2024

Ozone (O3) pollution is a critical issue for human health, crop yield, vegetation growth biodiversity, and food safety. Several protection strategies from O3-induced injuries have been proposed for crops. Here, we investigated if the foliar application of wood distillate (WD), a plant-based biostimulant applied once a week (0.2%, v/v) for four consecutive weeks, could have a protective effect against the damage caused by chronic O3 concentrations (80 ppb O3, 5 h day−1 for 28 days) in basil plants (chosen as model horticultural plant). The results revealed that plants exposed to O3 showed severe chlorotic spots localized in the interveinal adaxial surface, chlorophyll loss (−25% compared to controls maintained in filtered air), and membrane impairment as indicated by the significant increase in malondialdehyde content (+62%). Conversely, plants exposed to O3 and treated with WD exhibited a reduction in visible injuries, preservation of membrane integrity, and production of antioxidant compounds such as abscisic and salicylic acids (+21 and +62%, respectively), suggesting a protective effect of WD. This research highlights new results regarding the efficacy of WD in mitigating the negative effects of O3-induced oxidative pressure in basil plants.
Serum D-Lactate Concentrations in Dogs with Inflammatory Bowel Disease
Authors: Maggi Giulia , Chiaradia Elisabetta , Vullo Alice , Seccaroni Matteo , Valli Laura , Busechian Sara , Caivano Domenico , Porciello Francesco , Caloiero Sabrina , Marchesi Maria Chiara
Published: June 2024

The D-enantiomer of lactic acid (D-lactate) is normally produced from bacterial fermentation in the gastrointestinal tract in mammals. In humans, increased D-lactate concentrations are related to gastrointestinal disease, including short bowel syndrome and malabsorptive syndrome. Similarly, increased D-lactate concentrations have been described in calves affected by diarrhea, in cats with gastrointestinal diseases, and in dogs with parvoviral enteritis. The purpose of the present study was to measure the serum D-lactate concentrations in dogs with inflammatory bowel disease (IBD). We retrospectively reviewed data from the database of the VTH of Perugia University, and dogs affected by IBD with serum samples stored at −80 °C were considered eligible for inclusion. A total of 18 dogs with IBD and 10 healthy dogs were included in the study. The dogs with IBD were divided into three subcategories based on the severity of the disease. Serum D-lactate concentrations (μM) were determined using a commercially available colorimetric assay kit (D-Lactate Colorimetric Assay Kit; Catalog #K667-100, BioVision Inc., Milpitas, CA, USA). Our results showed no significant difference (p > 0.05) in the serum concentrations of D-lactate between dogs with various degrees of IBD and healthy dogs. However, the wide variability of the D-lactate concentrations in dogs with IBD and evidence of increased serum D-lactate concentrations in dogs with confirmed dysbiosis encourage further studies on this topic to understand potential factors influencing the serum D-lactate concentrations in dogs affected by IBD.
Milk Odd- and Branched-Chain Fatty Acids as Biomarkers of Rumen Fermentation
Authors: Kupczyński Robert , Pacyga Katarzyna , Lewandowska Kamila , Bednarski Michał , Szumny Antoni
Published: June 2024

Cow’s milk and dairy products are the primary sources of OBCFAs, which have beneficial health properties. The goal of this study was to identify the factors that influence the content of OBCFAs in cow’s milk and to indicate which OBCFAs can serve as biomarkers for fermentation processes. The content of OBCFAs in milk depends on the species of ruminants, with studies showing that this varies between 3.33% (in goat’s milk) and 5.02% (in buffalo’s milk). These differences also stem from the animals’ energy balance, lactation phases, forage-to-concentrate ratio, and the presence of bioactive compounds in feeds, as well as management practices and environmental conditions. The OBCFAs in milk fat mainly come from rumen bacteria, but can also be synthesized de novo in the mammary gland, making them potentially useful noninvasive indicators of rumen fermentation. The concentration of BCFA is lower in colostrum and transitional milk than in full lactation milk. The proportions of total OBCFAs are higher in first- and second-parity cows. The most effective predictors of the biohydrogenation of fatty acids in the rumen are likely C18:2 cis-9, trans-11, iso-C16:0, and iso-C13:0. OBCFAs have been identified as potential biomarkers for rumen function, because their synthesis depends on specific bacteria. Strong predictors of subclinical ruminal acidosis include iso-C14:0, iso-C13:0, and C15:0. The concentration of ∑ OBCFA >C16 in milk is associated with fat mobilization and serves as a significant marker of the energy balance in cows.
Genomic Characterization of Multidrug-Resistant Enterobacteriaceae Clinical Isolates from Southern Thailand Hospitals: Unraveling Antimicrobial Resistance and Virulence Mechanisms
Authors: Yaikhan Thunchanok , Suwannasin Sirikan , Singkhamanan Kamonnut , Chusri Sarunyou , Pomwised Rattanaruji , Wonglapsuwan Monwadee , Surachat Komwit
Published: June 2024

The emergence and spread of antimicrobial resistance (AMR) among Enterobacteriaceae pose significant threats to global public health. In this study, we conducted a short-term surveillance effort in Southern Thailand hospitals to characterize the genomic diversity, AMR profiles, and virulence factors of Enterobacteriaceae strains. We identified 241 carbapenem-resistant Enterobacteriaceae, of which 12 were selected for whole-genome sequencing (WGS) and genome analysis. The strains included Proteus mirabilis, Serratia nevei, Klebsiella variicola, Klebsiella aerogenes, Klebsiella indica, Klebsiella grimontii, Phytobacter ursingii, Phytobacter palmae, Kosakonia spp., and Citrobacter freundii. The strains exhibited high levels of multidrug resistance, including resistance to carbapenem antibiotics. Whole-genome sequencing revealed a diverse array of antimicrobial resistance genes (ARGs), with strains carrying genes for ß-lactamase, efflux pumps, and resistance to other antibiotic classes. Additionally, stress response, metal tolerance, and virulence-associated genes were identified, highlighting the adaptability and pathogenic potential of these strains. A plasmid analysis identified several plasmid replicons, including IncA/C2, IncFIB(K), and Col440I, as well as several plasmids identical to those found globally, indicating the potential for the horizontal gene transfer of ARGs. Importantly, this study also identified a novel species of Kosakonia spp. PSU27, adding to the understanding of the genetic diversity and resistance mechanisms of Enterobacteriaceae in Southern Thailand. The results reported in this study highlight the critical importance of implementing effective antimicrobial management programs and developing innovative treatment approaches to urgently tackle AMR.
Effects of Phenols from Olive Vegetation Water on Mutagenicity and Genotoxicity of Stored-Cooked Beef Patties
Authors: Mercatante Dario , Curró Sarah , Rosignoli Patrizia , Cardenia Vladimiro , Sordini Beatrice , Taticchi Agnese , Rodriguez-Estrada Maria Teresa , Fabiani Roberto
Published: June 2024

This explorative study aimed to assess the mutagenicity and genotoxicity of stored-cooked beef patties formulated with and without phenols (7.00 mg of phenols/80-g patty) extracted from olive vegetation water (OVW), as related to the formation of cholesterol oxidation products (COPs) and heterocyclic amines (HCAs). The patties were packaged in a modified atmosphere, sampled during cold storage (4 °C) for 9 days, and grilled at 200 °C. The genotoxicity was evaluated by the Comet assay. The patty extract was found to be genotoxic on primary peripheral blood mononuclear cells (PBMCs), while no mutagenicity was detected. The addition of OVW phenols significantly decreased the genotoxicity of the patty extract and reduced the total COPs content in stored-cooked patties (4.59 times lower than control); however, it did not affect the content of total HCAs (31.51–36.31 ng/patty) and the revertants’ number. Therefore, these results demonstrate that the OVW phenols were able to counteract the formation of genotoxic compounds in stored-cooked beef patties.
The Role of Nrf2 in the Regulation of Mitochondrial Function and Ferroptosis in Pancreatic Cancer
Authors: Baiskhanova Dinara , Schäfer Heiner
Published: June 2024

The transcription factor nuclear factor erythroid 2-related factor 2 (Nrf2) represents the master regulator of the cellular antioxidant response and plays a critical role in tumorigenesis. This includes a preventive effect of Nrf2 on cell death through ferroptosis, which represents an essential mechanism of therapy resistance in malignant tumors, such as pancreatic ductal adenocarcinoma (PDAC) as one of the most aggressive and still incurable tumors. Addressing this issue, we provide an overview on Nrf2 mediated antioxidant response with particular emphasis on its effect on mitochondria as the organelle responsible for the execution of ferroptosis. We further outline how deregulated Nrf2 adds to the progression and therapy resistance of PDAC, especially with respect to the role of ferroptosis in anti-cancer drug mediated cell killing and how this is impaired by Nrf2 as an essential mechanism of drug resistance. Our review further discusses recent approaches for Nrf2 inhibition by natural and synthetic compounds to overcome drug resistance based on enhanced ferroptosis. Finally, we provide an outlook on therapeutic strategies based on Nrf2 inhibition combined with ferroptosis inducing drugs.
Thermographic Measurements in Electrical Power Engineering—Open Discussion on How to Interpret the Results
Authors: Minkina Waldemar , Gryś Sławomir
Published: June 2024

An important issue concerning the inspection of the technical condition of electrical power components and systems is thermal imaging investigation. This paper presents how the thermograms obtained from these measurements should be interpreted correctly according to different standards and how operators should react when detecting a specific anomaly. It is also a review article in which all currently applicable international standards are referred to. The motivation of the article relates to the fact that these standards seem to be too general and do not cover all practical situations, even though, in many countries, thermal imaging diagnostics of overhead lines or overhead outdoor and indoor power stations have been used for years based on industry standards or good practices. The article aims are precisely to encourage and provoke the global community of metrologists, scientists, and engineers involved in thermographic measurements to discuss, strengthen efforts, and establish relevant international standards for the interpretation of thermograms containing the relevant temperature anomalies.
Signal Reconstruction of Arbitrarily Lack of Frequency Bands from Seismic Wavefields Based on Deep Learning
Authors: Li Xin , Zhang Fengjiao , Han Liguo
Published: June 2024

Due to the limitations of seismic exploration instruments and the impact of the high frequencies absorption by the earth layers during subsurface propagation of seismic waves, recorded seismic data usually lack high and low frequency information that is needed to accurately image geological structures. Traditional methods face challenges such as limitations of model assumptions and poor adaptability to complex geological conditions. Therefore, this paper proposes a deep learning method that introduces the attention mechanism and Bi-directional gated recurrent unit (BiGRU) into the Transformer neural network. This approach can simultaneously capture both global and local characteristics of time series data, establish mappings between different frequency bands, and achieve information compensation and frequency extension. The results show that the BiGRU-Extended Transformer network is capable of compensating and extending the synthetic seismic data sets with the limited frequency band. It has certain generalization capabilities and stability and can effectively handle various problems in the data reconstruction process, which is better than traditional methods.
An Alternative Approach to Determine the Dynamic Stiffness of Resilient Materials under Low Prestatic Load
Authors: Carbajo Jesús , Poveda Pedro , Segovia Enrique , Prieto Andrés , Río-Martín Laura , Pastor José Daniel , Ramis Jaime
Published: June 2024

Dynamic stiffness is a parameter of great importance for the assessment of the sound insulation properties of resilient materials commonly used under floating floors in dwellings. This work proposes a simplified approach that relies on an electro-mechanical circuit model for the determination of this parameter using a two-degree-of-freedom system of masses and springs. Unlike the method described in the standard ISO 9052-1, the proposed approach uses a single electrodynamic actuator both as an impulser and vibration sensor, thus reducing the instrumental requirements and yielding a more stable arrangement. By measuring the input electrical impedance of the mass-loaded actuator when coupled to a slab–material system it was possible to retrieve the mechanical mobility function thereof and thus obtain the dynamic stiffness of the material. Several materials were tested following the proposed approach, with results showing good agreement when compared to those obtained following the standardized procedure. In general, the preliminary research encourages the use of the proposed approach for characterization purposes.
Risk of Radiation-Induced Second Primary Cancers and Cardiotoxicity following Therapeutic Irradiation for Thymoma with Photon Beams: A Treatment Planning Study
Authors: Mazonakis Michalis , Kachris Stefanos , Tolia Maria , Damilakis John
Published: June 2024

This study compared the risks for developing second primary cancers and cardiotoxicity following radiotherapy for thymoma. Three different 3D-CRT, IMRT, and VMAT plans were generated with 6 MV photons for 12 females with thymoma. Dose-volume histogram data were employed to estimate the second cancer risks using a mechanistic non-linear model. The radiation doses to the heart and cardiac substructures were combined with linear models to assess the probability of cardiotoxicity. The mean lifetime risk for lung, esophageal, thyroid, left breast, and right breast cancer induction was 4.34–4.49%, 0.30–0.31%, 0.05–0.07%, 2.06–2.30%, and 2.04–2.34%, respectively, depending upon the radiotherapy technique. The relative risk for major cardiac events, including myocardial infarction, coronary revascularization, and death, was 1.43–1.55, whereas that for chronic heart failure was 1.20–1.29. The IMRT and VMAT significantly reduced the risk for cardiotoxicity with respect to 3D-CRT (p ≤ 0.023). Small but significant reductions were observed for most organ-specific cancer risks with IMRT compared to conformal treatment (p ≤ 0.008). Similar decreases were detected only for esophageal and thyroid cancer with VMAT (p ≤ 0.033). No difference was found in the probability for radiation-induced lung cancer with the three techniques (p ≥ 0.06). Healthcare professionals may use these data to select the appropriate radiotherapy technique and restrict the risk of late effects.
RANDnet: Vehicle Re-Identification with Relation Attention and Nuance–Disparity Masks
Authors: Huang Yang , Sheng Hao , Ke Wei
Published: June 2024

Vehicle re-identification (vehicle ReID) is designed to recognize all instances of a specific vehicle across various camera viewpoints, facing significant challenges such as high similarity among different vehicles from the same viewpoint and substantial variance for the same vehicle across different viewpoints. In this paper, we introduce the RAND network, which is equipped with relation attention mechanisms, nuance, and disparity masks to tackle these issues effectively. The disparity mask specifically targets the automatic suppression of irrelevant foreground and background noise, while the nuance mask reveals less obvious, sub-discriminative regions to enhance the overall feature robustness. Additionally, our relation attention module, which incorporates an advanced transformer architecture, significantly reduces intra-class distances, thereby improving the accuracy of vehicle identification across diverse viewpoints. The performance of our approach has been thoroughly evaluated on widely recognized datasets such as VeRi-776 and VehicleID, where it demonstrates superior effectiveness and competes robustly with other leading methods.
Examining Memory Performance in Senior Adults: A Comparative Cross-Sectional Study
Authors: Lago-Priego Noelia , Otero-González Iván , Pacheco-Lorenzo Moisés , Fernández-Iglesias Manuel J. , Dosil-Díaz Carlos , Bugallo-Carrera César , Gandoy-Crego Manuel , Anido-Rifón Luis
Published: June 2024

This study investigates memory performance among 73 adults over 60 years old, utilising Memory Impairment Screening (MIS) and self-reported memory failures assessed by the Memory Failures in Everyday questionnaire (MFE-28). Participants were divided into four groups: individuals with depressive symptoms, healthy individuals, individuals with depressive symptoms and mild cognitive impairment, and individuals with mild cognitive impairment only. Groups were organised according to their Montreal Cognitive Assessment (MoCA) and the 15-item Geriatric Depression Scale (GDS-15) scores. The study aims to analyse MIS scores and self-reported memory failures across these groups as measured with the 28-item Memory Failures Everyday (MFE-28) scale. Correlation analyses were conducted for the complete sample, while variance analyses were carried out for the four classification groups above. Bivariate linear regression analysis was carried out to explore how the combination of cognitive and depressive symptoms status influenced memory performance. Results show that subjective memory complaints and memory performance are related to depressive symptoms, and the latter is associated with worse cognitive performance. Lastly, our study highlights that individuals with mild cognitive impairment and depressive symptoms exhibit worse performance in recall tasks and report more subjective memory complaints compared to those with mild cognitive impairment alone.
Sustainable and Inflatable Aeroponics Smart Farm System for Water Efficiency and High-Value Crop Production
Authors: Kim Junhui , Park Haeyoung , Seo Chungmo , Kim Hyunjin , Choi Gyuseung , Kim Minho , Kim Byungjoo , Lee Wonhyong
Published: June 2024

Existing smart farming technology faces sustainability challenges due to high costs and environmental pollution. This study introduces a novel, sealed smart farming system utilizing misting technology to address these limitations. The system is designed to efficiently use water and nutrients, making it particularly suitable for high-value crop cultivation in urban environments with architectural constraints. Over a one-month experimental period, we monitored the system’s performance in a controlled environment. The methodology included setting up the system and regularly measuring water usage, nutrient delivery, and plant growth metrics. The experimental results showed a significant reduction in water usage compared to traditional methods, with precise control of micronutrient delivery. Additionally, the system’s ability to maintain a consistent sealed environment was demonstrated, which is crucial for optimal plant growth. The system’s portability and space utilization efficiency were also highlighted as major advantages. Furthermore, the system demonstrated potential for cultivation in extreme environments, such as water-scarce regions, by maintaining optimal indoor conditions for crop growth. Challenges such as nozzle clogging and uneven mist distribution were identified, indicating the need for further research in cartridge design and misting methods. Overall, this smart farming technology shows significant promise for enhancing global food security and contributing to sustainable agricultural development by minimizing water usage and optimizing nutrient management.
A CNN-LSTM-Attention Model for Near-Crash Event Identification on Mountainous Roads
Authors: Zhao Jing , Yang Wenchen , Zhu Feng
Published: June 2024

To enhance traffic safety on mountainous roads, this study proposes an innovative CNN-LSTM-Attention model designed for the identification of near-crash events, utilizing naturalistic driving data from the challenging terrains in Yunnan, China. A combination of a threshold method complemented by manual verification is used to label and annotate near-crash events within the dataset. The importance of vehicle motion features is evaluated using the random forest algorithm, revealing that specific variables, including x-axis acceleration, y-axis acceleration, y-axis angular velocity, heading angle, and vehicle speed, are particularly crucial for identifying near-crash events. Addressing the limitations of existing models in accurately detecting near-crash scenarios, this study combines the strengths of convolutional neural networks (CNN), long short-term memory (LSTM) networks, and an attention mechanism to enhance model sensitivity to crucial temporal and spatial features in naturalistic driving data. Specifically, the CNN-LSTM-Attention model leverages CNN to extract local features from the driving data, employs LSTM to track temporal dependencies among feature variables, and uses the attention mechanism to dynamically fine-tune the network weights of feature parameters. The efficacy of the proposed model is extensively evaluated against six comparative models: CNN, LSTM, Attention, CNN-LSTM, CNN-Attention, and LSTM-Attention. In comparison to the benchmark models, the CNN-LSTM-Attention model achieves superior overall accuracy at 98.8%. Moreover, it reaches a precision rate of 90.1% in detecting near-crash events, marking an improvement of 31.6%, 14.8%, 63.5%, 8%, 23.5%, and 22.6% compared to the other six comparative models, respectively.
Application Strategy of Unmanned Aerial Vehicle Swarms in Forest Fire Detection Based on the Fusion of Particle Swarm Optimization and Artificial Bee Colony Algorithm
Authors: Yan Xiaohong , Chen Renwen
Published: June 2024

Unmanned aerial vehicle (UAV) swarm intelligence technology has shown unique advantages in agricultural and forestry disaster detection, early warning, and prevention with its efficient and precise cooperative operation capability. In this paper, a systematic application strategy of UAV swarms in forest fire detection is proposed, including fire point detection, fire assessment, and control measures, based on the fusion of particle swarm optimization (PSO) and the artificial bee colony (ABC) algorithm. The UAV swarm application strategy provides optimized paths to quickly locate multiple mountain forest fire points in 3D forest modeling environments and control measures based on the analysis of the fire situation. This work lays a research foundation for studying the precise application of UAV swarm technology in real-world forest fire detection and prevention.
Estimation of Critical Fatigue Conditions Based on the Accelerated Fatigue Locati Method by Mean of Net Damage
Authors: Carrascal Isidro A. , Diego Soraya , Casado Jose A. , Sainz-Aja Jose A. , Ferreño Diego
Published: June 2024

The increasing utilization of short fiber-reinforced thermoplastics, due to their advantageous mechanical properties and manufacturing convenience, has led to their application in areas traditionally dominated by metals. This shift underscores the importance of understanding the fatigue behavior of these materials. This study evaluates the fatigue behavior of short fiber-reinforced thermoplastics through three characterization methods: continuous fatigue, interrupted fatigue, and the Locati method, with the latter serving as a novel approach for estimating critical fatigue conditions from a single specimen. Continuous fatigue testing provides the baseline for comparison. The effect of load interruption is explored through the interrupted fatigue method. The Locati method, characterized by incrementally increasing load steps until failure, offers a significant benefit by enabling the estimation of critical fatigue conditions efficiently. This research aims to provide a comprehensive understanding of the fatigue behavior of short fiber-reinforced thermoplastics, contributing to the optimization of their use in engineering applications.
Bioactive Compounds, Health Benefits and Food Applications of Artichoke (Cynara scolymus L.) and Artichoke By-Products: A Review
Authors: Ayuso Pablo , Quizhpe Jhazmin , Rosell María de los Ángeles , Peñalver Rocío , Nieto Gema
Published: June 2024

Cynara scolymus L. is an herbaceous plant originally from the western Mediterranean area, with Italy, Spain and France the main being producers. Both the edible flowering head and the by-products generated during processing (outer bracts, leaves and stem) are characterized by a high content of essential vitamins, minerals and bioactive compounds. In particular, the leaves represent a great source of phenolic acids derived from caffeoylquinic acid or flavonoids such as luteonin and apigenin, while the head and stem contain a high content of soluble and insoluble dietary fiber, especially inulin and pectins. Its high content of bioactive compounds provides artichoke a high antioxidant power due to the modulation effect of the transcription factor Nrf2, which may lead to protection against cardiovascular, hepatic and neurological disorders. The potential use of artichoke as a functional ingredient in the food industry may be promising in terms of improving the nutritional value of products, as well as preventing oxidation and extending the shelf-life of processed foods due to its antimicrobial activity. This review aims to provide an overview of the nutritional qualities of Cynara scolymus L. and its by-products, focusing on the possible health effects and potential applications in food products as a higher-value-added alternative ingredient.
Disturbance Propagation Model of Luggage Drifting Motion Based on Nonlinear Pressure in Typical Passenger Corridors of Transportation Hubs
Authors: Wei Bingyu , Zhao Rongyong , Li Cuiling , Li Miyuan , Ma Yunlong , Wong Eric S. W.
Published: June 2024

In current transportation hubs, passengers travelling with wheeled luggage or suitcases is a common phenomenon. Due to the fact that most luggage occupies a certain space in dense passenger crowds with high mass inertia, its abnormal motion, such as drifting, can frequently trigger unavoidable local disturbances and turbulence in the surrounding pedestrian flows, further increasing congestion risk. Meanwhile, there still is a lack of quantitative disturbance propagation analysis, since most state-of-the-art achievements rely on either scenario-based experiments or the spatial characteristics of crowd distribution assessed qualitatively. Therefore, this study considers the luggage-laden passenger as a deformable particle. The resulting disturbance on surrounding non-luggage-carrying passengers is analyzed and quantified into a nonlinear pressure term. Subsequently, the disturbance propagation model of passenger-owned luggage is developed by adapting the classical Aw–Rascle traffic flow model with a pressure term. Simulation experiments of disturbances caused by luggage drifting and retrograding were conducted in Pathfinder 2022 Software. Experimental results showed that the disturbing force of a left-sided crowd can reach a peak of 238 N with a passenger density of 3.0 p/m2, and the maximum force difference between the left- and right-sided disturbing force can reach 153 N, as confirmed by a case study in an L-shaped corridor of a transportation hub. Furthermore, it is recommended that the proposed model can be applied in crowd flow analysis and intelligent decision-making for passenger management in transportation hubs.
Influence of Vehicle Wake on the Control of Towed Systems
Authors: Gu Jinjing , Wang Zhibo
Published: June 2024

The hydrodynamic wake generated by the underwater vehicle’s motion has a considerable impact on the movement of the towed system underwater. This paper utilizes the lumped mass method to model the towed cable in order to improve the accuracy of predicting its position and attitude in the wake, and to determine the suitable cable-towed position. Velocity is transferred from the flow field to the cable dynamic model in an innovative way to imitate the motion of the cable. Several iterations are conducted to enhance the dynamic reactivity of the cable system. Numerical simulations are used to model both the straight towed and turning movements. The numerical calculation provides the characteristics of vorticity in the flow field formed by the energy exchange between the vorticity and the cable, as well as the gradually dissipating vorticity and momentum exchange characteristics at the trailing edge of the enclosure. The results indicate that the best location for the cable towed is where its motion does not cause any adhesion. On the other hand, the disadvantageous scenario for cable-towed systems occurs when the cable’s movement causes substantial adhesion. This paper innovatively establishes a model of mechanical energy exchange, describes the characteristics of energy exchange between the cable and fluid dynamics, and divides the four regions of cable motion. In the manipulation state, the dynamic energy exchange between the cable and the wake results in the transient vibration response of the cable. The fluid structure coupling method can accurately determine the separation region of the towed point of the vehicle based on its compatibility (non-adhesive) and incompatibility (adhesive). The boundary of the region is defined to distinguish a free tow point from a wall-attached tow point. A transition zone has the possibility to change the pattern from a free tow to a wall-attached tow. The wake can be divided into free tow region, transition zone, and adjacent wall tow region by this fluid structure interaction assessment method.
A Spectral Clustering Algorithm for Non-Linear Graph Embedding in Information Networks
Authors: Ni Li , Manman Peng , Qiang Wu
Published: June 2024

With the development of network technology, information networks have become one of the most important means for people to understand society. As the scale of information networks expands, the construction of network graphs and high-dimensional feature representation will become major factors affecting the performance of spectral clustering algorithms. To address this issue, in this paper, we propose a spectral clustering algorithm based on similarity graphs and non-linear deep embedding, named SEG_SC. This algorithm introduces a new spectral clustering model that explores the underlying structure of graphs through sparse similarity graphs and deep graph representation learning, thereby enhancing graph clustering performance. Experimental analysis with multiple types of real datasets shows that the performance of this model surpasses several advanced benchmark algorithms and performs well in clustering on medium- to large-scale information networks.
Evaluation of Urban Transportation Resilience under Extreme Weather Events
Authors: Cui Yuepeng , Liu Zijian , Wu Huiming , Sun Pengju , Zhou Fubin
Published: June 2024

The frequent occurrence of extreme weather events (EWEs) in recent years has posed major hazards to urban transportation as well as socioeconomic impacts. A quantitative evaluation of the urban transportation resilience to minimize the impact caused by EWEs becomes critical to the rapid recovery of urban transportation after disasters. However, there is, generally, a lack of reliable data sources to monitor urban transportation performance under EWEs. This empirical study proposes a performance indicator (displacement) and quantitative method for evaluating the urban transportation performance under EWEs based on bus GPS trajectory datasets. Furthermore, the transportation resilience of it is quantified, and the variation is compared across temporal and spatial dimensions. The method is applied in a case study of Fuzhou, China, under rainstorm events. The results show that the Gulou and Jinan subareas have the highest transportation resilience during the yellow and red rainstorm warnings. By formulating an emergency plan and taking mitigation measures, the transportation performance in the Jinan subarea during the red rainstorm warning was improved by 36% compared to the yellow rainstorm warning. The empirical study not only fills the knowledge gap for quantifying the transportation resilience across the geographical boundary under rainstorm events, but also estimates the operation status of the road network. The results will help policymakers prioritize the resource distribution and develop effective policies or measures to further improve transportation resilience in the city.