bluuebunny/crossref_metadata_2025 huggingface dataset:
Life Cycle Assessment of Piezoelectric Devices Implemented in Wind Turbine Condition Monitoring Systems
Authors: Aloui Rabie , Gaha Raoudha , Lafarge Barbara , Celik Berk , Verdari Caroline
Published: August 2024

Assessing the vibration signature produced by a rotating component of the wind turbine enables the identification of operational conditions and the detection of potential faults at an early stage. The main purpose is to enhance the sustainability of wind turbines while increasing the lifespan and uptime of their operational systems. This vibration analysis is based on the processing of the signal provided by sensors, which often incorporates piezoelectric transducers. This paper evaluates the consequences of employing piezoelectric sensors used for vibration measurement on electrical machines integrated into wind turbines by conducting a life cycle assessment (LCA). The widespread use of piezoelectric materials is due to their high sensitivity to vibrations, although their selection is also influenced by regulatory restrictions. This research focuses on the environmental impact of piezoelectric accelerometers used commonly in condition monitoring systems. The collected literature data on the manufacturing processes are inputted into the LCA model which is powered by the Ecoinvent 3 database. The impact assessment is carried out using the European ILCD 2011 Midpoint+ method by calculating the unique scores of the selected impact categories. The results are presented and discussed in terms of environmental indicators, as well as ecological recommendations on the design.
Influence of the Processing Conditions on the Rheology and Heat of Decomposition of Solution Processed Hybrid Nanocomposites and Implication to Sustainable Energy Storage
Authors: Andezai Andekuba , Iroh Jude O.
Published: August 2024

This study investigates the properties of solution-processed hybrid polyimide (PI) nanocomposites containing a variety of nanofillers, including polyaniline copolymer-modified clay (PNEA), nanographene sheets (NGSs), and carbon nanotube sheets (CNT-PVDFs). Through a series of experiments, the flow behavior of poly(amic acid) (PAA) solution and PAA suspension containing polyaniline copolymer-modified clay (PNEA) is determined as a function of the shear rate, processing temperature, and polymerization time. It is shown that the neat PAA solution exhibits a complex rheological behavior ranging from shear thickening to Newtonian behavior with increasing shear rate and testing temperature. The presence of modified clay in PAA solution significantly reduced the viscosity of PAA. Differential scanning calorimetry (DSC) analysis showed that polyimide–nanographene sheet (PI NGS) nanocomposites processed at a high spindle speed (100 rpm) have lower total heat of decomposition, which is indicative of improved fire retardancy. The effect of processing temperature on the specific capacitance of a polyimide–CNT-PVDF composite containing electrodeposited polypyrrole is determined using cyclic voltammetry (CV). It is shown that the hybrid composite working electrode material processed at 90 °C produces a remarkably higher overall stored charge when compared to the composite electrode material processed at 250 °C. Consequently, the specific capacitance obtained at a scan rate of 5 mV/s for the hybrid nanocomposite processed at 90 °C is around 858 F/g after one cycle, which is about 6.3 times higher than the specific capacitance of 136 F/g produced by the hybrid nanocomposite processed at 250 °C. These findings show that the properties of the hybrid nanocomposites are remarkably influenced by the processing conditions and highlight the need for process optimization.
Competitive Analysis of Heavy Trucks with Five Types of Fuels under Different Scenarios—A Case Study of China
Authors: Hu Mingyue , Wu Xiao , Yuan Yue , Xu Chuanbo
Published: August 2024

As the country that emits the most carbon in the world, China needs significant and urgent changes in carbon emission control in the transportation sector in order to achieve the goals of reaching peak carbon emissions before 2030 and achieving carbon neutrality by 2060. Therefore, the promotion of new energy vehicles has become the key factor to achieve these two objectives. For the reason that the comprehensive transportation cost directly affects the end customer’s choice of heavy truck models, this work compares the advantages, disadvantages, and economic feasibility of diesel, liquefied natural gas (LNG), electric, hydrogen, and methanol heavy trucks from a total life cycle cost and end-user perspective under various scenarios. The study results show that when the prices of diesel, LNG, electricity, and methanol fuels are at their highest, and the price of hydrogen is 35 CNY/kg, the total life cycle cost of the five types of heavy trucks from highest to lowest are hydrogen heavy trucks (HHT), methanol heavy trucks (MHT), diesel heavy trucks (DHT), electric heavy trucks (EHT), and LNG heavy trucks (LNGHT), ignoring the adverse effects of cold environments on car batteries. When the prices of diesel, LNG, electricity, and methanol fuels are at average or lowest levels, and the price of hydrogen is 30 CNY/kg or 25 CNY/kg, the life cycle cost of the five heavy trucks from highest to lowest are HHT, DHT, MHT, EHT, and LNGHT. When considering the impact of cold environments, even with lower electricity prices, EHT struggle to be economical when LNG prices are low. If the electricity price is above 1 CNY/kWh, regardless of the impact of cold environments, the economic viability of EHT is lower than that of HHT with a purchase cost of 500,000 CNY and a hydrogen price of 25 CNY/kg. Simultaneously, an exhaustive competitiveness analysis of heavy trucks powered by diverse energy sources highlights the specific categories of heavy trucks that ought to be prioritized for development during various periods and the challenges they confront. Finally, based on the analysis results and future development trends, the corresponding policy recommendations are proposed to facilitate high decarbonization in the transportation sector.
Development of Volatile Fatty Acid and Methane Production Prediction Model Using Ruminant Nutrition Comparison of Algorithms
Authors: Park Myungsun , Cho Sangbuem , Jeon Eunjeong , Choi Nag-Jin
Published: August 2024

(1) Background: This study explores the correlation between volatile fatty acid (VFA) concentrations and methanogenesis in ruminants, focusing on how the nutritional composition of their diets affects these processes. (2) Methods: We developed predictive models using multiple linear regression, artificial neural networks, and k-nearest neighbor algorithms. The models are based on data extracted from 31 research papers and 16 ruminal in vitro fermentation tests to predict VFA concentrations from nutrient intake. Methane production estimates were derived by converting and clustering these predicted VFA values into molar ratios. (3) Results: This study found that acetate concentrations correlate significantly with neutral detergent fiber intake. Conversely, propionate and butyrate concentrations are highly dependent on dry matter intake. There was a notable correlation between methane production and the concentrations of acetate and butyrate. Increases in neutral detergent fiber intake were associated with higher levels of acetate, butyrate, and methane production. Among the three methods, the k-nearest neighbor algorithm performed best in terms of statistical fitting. (4) Conclusions: It is vital to determine the optimal intake levels of neutral detergent fiber to minimize methane emissions and reduce energy loss in ruminants. The predictive accuracy of VFA and methane models can be enhanced through experimental data collected from diverse environmental conditions, which will aid in determining optimal VFA and methane levels.
Overlay and Virtual Private Networks Security Performances Analysis with Open Source Infrastructure Deployment
Authors: Gentile Antonio Francesco , Macrì Davide , Greco Emilio , Fazio Peppino
Published: August 2024

Nowadays, some of the most well-deployed infrastructures are Virtual Private Networks (VPNs) and Overlay Networks (ONs). They consist of hardware and software components designed to build private/secure channels, typically over the Internet. They are currently among the most reliable technologies for achieving this objective. VPNs are well-established and can be patched to address security vulnerabilities, while overlay networks represent the next-generation solution for secure communication. In this paper, for both VPNs and ONs, we analyze some important network performance components (RTT and bandwidth) while varying the type of overlay networks utilized for interconnecting traffic between two or more hosts (in the same data center, in different data centers in the same building, or over the Internet). These networks establish connections between KVM (Kernel-based Virtual Machine) instances rather than the typical Docker/LXC/Podman containers. The first analysis aims to assess network performance as it is, without any overlay channels. Meanwhile, the second establishes various channels without encryption and the final analysis encapsulates overlay traffic via IPsec (Transport mode), where encrypted channels like VTI are not already available for use. A deep set of traffic simulation campaigns shows the obtained performance.
Data-Driven PM2.5 Exposure Prediction in Wildfire-Prone Regions and Respiratory Disease Mortality Risk Assessment
Authors: Khanmohammadi Sadegh , Arashpour Mehrdad , Bazli Milad , Farzanehfar Parisa
Published: August 2024

Wildfires generate substantial smoke containing fine particulate matter (PM2.5) that adversely impacts health. This study develops machine learning models integrating pre-wildfire factors like weather and fuel conditions with post-wildfire health impacts to provide a holistic understanding of smoke exposure risks. Various data-driven models including Support Vector Regression, Multi-layer Perceptron, and three tree-based ensemble algorithms (Random Forest, Extreme Gradient Boosting (XGBoost), and Natural Gradient Boosting (NGBoost)) are evaluated in this study. Ensemble models effectively predict PM2.5 levels based on temperature, humidity, wind, and fuel moisture, revealing the significant roles of radiation, temperature, and moisture. Further modelling links smoke exposure to deaths from chronic obstructive pulmonary disease (COPD) and lung cancer using age, sex, and pollution type as inputs. Ambient pollution is the primary driver of COPD mortality, while age has a greater influence on lung cancer deaths. This research advances atmospheric and health impact understanding, aiding forest fire prevention and management.
Process-Induced Molecular-Level Protein–Carbohydrate–Polyphenol Interactions in Milk–Tea Blends: A Review
Authors: Wijegunawardhana Dilema , Wijesekara Isuru , Liyanage Rumesh , Truong Tuyen , Silva Mayumi , Chandrapala Jayani
Published: August 2024

The rapid increase in the production of powdered milk–tea blends is driven by a growing awareness of the presence of highly nutritious bioactive compounds and consumer demand for convenient beverages. However, the lack of literature on the impact of heat-induced component interactions during processing hinders the production of high-quality milk–tea powders. The production process of milk–tea powder blends includes the key steps of pasteurization, evaporation, and spray drying. Controlling heat-induced interactions, such as protein–protein, protein–carbohydrate, protein–polyphenol, carbohydrate–polyphenol, and carbohydrate–polyphenol, during pasteurization, concentration, and evaporation is essential for producing a high-quality milk–tea powder with favorable physical, structural, rheological, sensory, and nutritional qualities. Adjusting production parameters, such as the type and the composition of ingredients, processing methods, and processing conditions, is a great way to modify these interactions between components in the formulation, and thereby, provide improved properties and storage stability for the final product. Therefore, this review comprehensively discusses how molecular-level interactions among proteins, carbohydrates, and polyphenols are affected by various unit operations during the production of milk–tea powders.
Advancements in Pulse Starches: Exploring Non-Thermal Modification Methods
Authors: Mhaske Pranita , Farahnaky Asgar , Majzoobi Mahsa
Published: August 2024

The surge in the global demand for plant-based proteins has catapulted pulse protein into the spotlight. To ensure economic viability and sustainable production, it is crucial to utilize pulse starch, a by-product of plant protein fractionation. Despite the increasing interest in pulse starches, there is a notable gap in knowledge regarding their modifications and applications compared to cereal and tuber starches. Non-thermal techniques such as electron beam radiation, static high pressure, microfluidization, and cold plasma are emerging as innovative methods for starch modification. These techniques offer significant advantages, including enhanced safety, environmental sustainability, and the development of unique functional properties unattainable through conventional methods. However, challenges such as equipment availability, high costs, and energy consumption hinder their widespread adoption. In light of the growing emphasis on “clean and green labelling” and effective “waste management” in food production, evaluating non-thermal techniques for pulse starch modification is critical. This review aims to thoroughly assess these non-thermal techniques and their combinations, offering valuable insights for researchers and the food industry. By maximizing the potential of pulse starches in innovative food applications, it provides a comprehensive guide for effective non-thermal methods that add value and align with sustainable practices.
Considerations on Possible Directions for a Wide Band Polarimetry X-ray Mission
Authors: Soffitta Paolo , Costa Enrico , De Angelis Nicolas , Del Monte Ettore , Desch Klaus , Di Marco Alessandro , Di Persio Giuseppe , Fabiani Sergio , Ferrazzoli Riccardo , Gruber Markus , Hiromitsu Takahashi , Imtiaz Saba , Kaaret Philip , Kaminski Jochen , Kim Dawoon E. , Kislat Fabian , Krawczynski Henric , La Monaca Fabio , Lefevre Carlo , Manikantan Hemanth , Marshall Herman L. , Mikusincova Romana , Morbidini Alfredo , Muleri Fabio , O’Dell Stephen L. , Okajima Takashi , Pearce Mark , Plesanovs Vladislavs , Ramsey Brian D. , Ratheesh Ajay , Rubini Alda , Vengalil Menon Shravan , Weisskopf Martin C.
Published: August 2024

The Imaging X-ray Polarimetry Explorer (IXPE) has confirmed that X-ray polarimetry is a valuable tool in astronomy, providing critical insights into the emission processes and the geometry of compact objects. IXPE was designed to be sensitive in the 2–8 keV energy range for three primary reasons: (1) celestial X-ray sources are bright within this range, (2) the optics are effective, and (3) most sources across various classes were expected to exhibit some level of polarization. Indeed, IXPE is a great success, and its discoveries are necessitating the revision of many theoretical models for numerous sources. However, one of IXPE’s main limitations is its relatively narrow energy band, coupled with rapidly declining efficiency. In this paper, we will demonstrate the benefits of devising a mission focused on a broader energy band (0.1–79 keV). This approach leverages current technologies that align well with theoretical expectations and builds on the successes of IXPE.
Non-Thermal Effects of Terahertz Radiation on Gene Expression: Systematic Review and Meta-Analysis
Authors: Dione Mactar Ndiaga , Shang Sen , Zhang Qi , Zhao Sicheng , Lu Xiaoyun
Published: August 2024

With the advancement of terahertz technology, unveiling the mysteries of terahertz has had a profound impact on the field of biomedicine. However, the lack of systematic comparisons for gene expression signatures may diminish the effectiveness and efficiency of identifying common mechanisms underlying terahertz effects across diverse research findings. We performed a comprehensive review and meta-analysis to compile patterns of gene expression profiles associated with THz radiation. Thorough bibliographic reviews were conducted, utilizing the PubMed, Embase, Web of Science, and ProQuest databases to extract references from published articles. Raw CEL files were obtained from Gene Expression Omnibus and preprocessed using Bioconductor packages. This systematic review (Registration No. CDR42024502937) resulted in a detailed analysis of 13 studies (14 papers). There are several possible mechanisms and pathways through which THz radiation could cause biological changes. While the established gene expression results are largely associated with immune response and inflammatory markers, other genes demonstrated transcriptional outcomes that may unravel unknown functions. The enrichment of genes primarily found networks associated with broader stress responses. Altogether, the findings showed that THz can induce a distinct transcriptomic profile that is not associated with a microthermal cellular response. However, it is impossible to pinpoint a single gene or family of genes that would accurately and reliably justify the patterns of gene expression response under THz exposure.
Disparities and Determinants of Online Medical Record Access among Cancer Survivors
Authors: Elkefi Safa
Published: August 2024

Access to online medical records (OMRs) can help enhance cancer patient engagement and improve their health outcomes. This study investigates disparities in OMR access among cancer survivors and examines the association between OMR access and health perceptions. We conducted a cross-sectional analysis using data from the National Cancer Institute’s Health Information National Trends Survey (HINTS) from 2017 to 2022. The sample included 4713 cancer survivors. We employed regression analysis to assess the associations between the different factors. Overall, 18.78% of participants accessed their OMRs once or twice, while 36.69% accessed them three times or more. Gender minority groups (β = −0.0038, p = 0.01), older adults (β = −0.1126, p < 0.001), and racial minority groups (β = −0.059, p < 0.001) were less likely to access their OMRs. Additionally, higher education levels (β = 0.274, p < 0.001), insurance coverage (β = 0.365, p < 0.001), and higher incomes (β = 0.115, p < 0.001) were associated with increased OMR access. Positive health perceptions were significantly associated with OMR usage, including perceived good health (β = 0.148, p < 0.001), quality of care (β = 0.15, p = 0.026), and self-efficacy (β = 0.178, p = 0.002). Disparities in OMR access among cancer survivors are influenced by socio-economic factors and health perceptions. Interventions targeting vulnerable groups, enhancing digital health literacy, and improving health perceptions could promote equitable OMR usage.
Intersecting Pathways: Treating Cocaine Withdrawal and Restless Leg Syndrome with Iron and Buproprion
Authors: Hughes Sarah , Hill Olivia , Mogallapu Raja
Published: August 2024

Many drastic actions are taken by cocaine users for the sake of experiencing high levels of dopamine, which depends on iron for its synthesis. Dopamine depletion and iron deficiency are also involved in the symptoms of restless leg syndrome (RLS). The intersecting biochemical pathways of cocaine use, iron deficiency, and RLS have not been adequately investigated. This case report reveals the successful treatment of a patient experiencing these conditions. A 63-year-old male with a history of cocaine use disorder, insomnia, and RLS sought emergency care for suicidality. Upon admission, he was also found to be iron deficient. He revealed that his RLS worsened when he attempted to abstain from cocaine. He also used alcohol to sustain the effects of cocaine when the cost of cocaine was too high. During hospitalization, his mood, cravings, and RLS were resolved with adjunctive iron supplementation, as well as treatment with 300 mg of Wellbutrin (bupropion hydroxychloride). If iron deficiency is present, the replenishment of the adequate dopaminergic receptor density and function via supplementation may play an essential role in the prevention of cocaine use and the cessation of cocaine withdrawal symptoms. Further research is warranted to validate these findings and to investigate the implications of iron supplementation in addiction medicine.
Experimental Analysis of a Failed Gamma Nail: A Case Report and Literature Review
Authors: Cordunianu Mihai Alexandru , Vulcu Cordunianu Alina Georgiana , Antoniac Iulian , Luca Andrei , Niculescu Marius , Chiriac Cristian Ovidiu , Corneschi Iuliana , Mohor Cosmin Ioan
Published: August 2024

The Gamma Nail represents one of the most popular and efficient implants for treating proximal femoral fractures. Our paper reports a case of a failed Gamma Nail which was used for the surgical treatment of a 69-year-old woman with a right femoral trochanteric fracture due to a car accident. After the surgical intervention, 6 months later, the patient presented to the hospital reporting pain and limited mobility of the right hip. An X-ray was performed at the level of the pelvis, which highlighted the fracture nonunion and the implant failure. The implant removal and its replacement with a dynamic condylar screw system (DCS) was decided. Because Gamma Nail failures are rare occurrences, the implant was subjected to analyses and experimental determinations to find out the cause. For the implant analyses, a stereomicroscope, an optical microscope, and scanning electron microscopy were used. After the tests were conducted, preparation and processing irregularities as causes of the implant failure were eliminated. Also, the experimental analyses showed that the Gamma Nail did comply with chemical composition and microstructure regulations. Thus, it was concluded that the implant failed due to the mechanical overloading caused by surgical technique errors.
Elicitors and Biostimulants to Mitigate Water Stress in Vegetables
Authors: Melo-Sabogal Diana Victoria , Contreras-Medina Luis Miguel
Published: August 2024

The acceleration of the climate crisis and increased demand for water have caused water stress in many agricultural lands worldwide. This issue is of utmost importance as water stress represents one of the most crucial challenges for the agricultural sector and food security, affecting the growth and yield of crops. Developing agricultural strategies to mitigate the adverse effects of water stress and improve crop stress tolerance and crop yield is therefore crucial. This review aimed to analyze the effect of agricultural practices such as elicitation and biostimulation on mitigating the effects of water stress in vegetables. This manuscript provides relevant and recent information about the studied effects on various vegetable species and their responses under water deficit and agricultural and non-agricultural strategies to mitigate water stress, highlighting the use of elicitors and biostimulants. Inclusion criteria were scientific reports and book chapters published from 2000 to 2024, including keywords as follows: water stress + vegetables, water deficit + effects, drought stress management, agricultural strategies for water stress management, eustressors + water stress, elicitors and biostimulants + water stress mitigation. According to the reported literature, it was found that the physiological, biochemical, and molecular responses of vegetables to water stress depended on factors such as the severity and duration of the water deficit, the plant species, and the phenological state of the plants. Traditional agronomic strategies such as tillage, mulching, and intercropping for crop drought management were evaluated. Recently, alternative strategies for mitigating the effects of water stress have gained significant interest, such as the exogenous application of phytohormones and osmoprotectants, nutrient management, and the use of UV-B light, radiation, and acoustic waves, among others, whose eustressive effects (as biostimulants and elicitors) have been demonstrated. Among these eustressors, those of physical origin show great potential for mitigating water stress. To improve the individual potential of eustressors for water stress mitigation, we proposed the combination of practices such as tillage, mulching, application of hormones and osmoprotectants, and physical elicitors and biostimulants such as gamma rays, He-Ne laser, and UV-B. Further exploration is required to establish doses, application conditions, and effects on water stress mitigation and vegetable yield, underscoring the importance and ongoing nature of this research.
The Association between Psychological and Behavioral Economic Factors and the Rapid Assessment Disuse Index (RADI) during the COVID-19 Pandemic
Authors: Meernik Clare , Li Qing , Drope Jeffrey , Shang Ce , Leonard Tammy , Fennis Bob M. , Qadan Mahmoud , Barlow Carolyn E. , DeFina Laura F. , Oetjen Reid , DiPietro Loretta , Shuval Kerem
Published: August 2024

The deleterious health effects of prolonged sitting and physical inactivity are well-established, yet these behaviors are pervasive in modern culture. To inform interventions aimed at reducing sedentary behavior and increasing lifestyle activity, this study examined psychological and behavioral economic factors that may be associated with these behaviors. This cross-sectional study was conducted among 4072 adults in Israel. Participants completed a survey pertaining to lifestyle behaviors and economic preferences using an online platform in September 2020. The psychological and behavioral economic factors of interest were patience, self-control, risk-taking, grit, and general self-efficacy. Sedentary behavior and lifestyle activity (e.g., time spent moving about) was assessed using the Rapid Assessment Disuse Index (RADI) tool (higher score indicative of more sitting and less activity). Multivariable linear and logistic regression analyses examined the association between psychological and behavioral economic factors and RADI score. Among 4072 participants, those who were impatient (vs. patient, β: −1.13; 95% CI: −1.89, −0.38) had higher grit (β: −1.25, 95% CI: −1.73, −0.77), and those who were more risk-seeking (β: −0.23; 95% CI: −0.33, −0.13) had lower RADI scores (i.e., less sedentary, more active). Significant associations for grit and risk-taking were also observed when the RADI score was dichotomized, such that individuals who had higher grit or were more risk-seeking were more likely to be non-sedentary/active. No significant associations were observed for self-control or general self-efficacy. Higher grit and more risk-seeking were associated with a decreased propensity for sedentary behaviors and inactivity; these factors may provide targets for interventions aimed at reducing sedentary behavior and increasing lifestyle activity.
Stakeholders’ Experiences and Preferences Regarding Comprehensive Sexuality Education in Zambia: Implications for Determining Programme Priorities and Strategies
Authors: Mukanga Bright , Dlamini Siyabonga Blessing , Taylor Myra
Published: August 2024

Background: Understanding and exploring stakeholders’ perceptions and preferences regarding comprehensive sexuality education (CSE) is critical in enhancing programme acceptability. We conducted this qualitative study to explore stakeholders’ experiences and preferences of CSE in Kitwe district, Zambia. Methods: We employed a qualitative descriptive design within the interpretive paradigm at nine purposefully selected secondary schools. Data were collected through classroom observation, in-depth interviews, and focus group discussions. In depth interviews were undertaken among 21 pupils, 17 teachers, 4 policymakers, 4 parents, and 4 religious leaders. Two focus group discussions were conducted among 14 pupils with each group having seven pupils. Data were analysed using inductive thematic analysis. Interviews continued until data saturation. Results: Our analysis yielded themes on stakeholder experiences of CSE which included: a lack of pupil-centred pedagogy; a lack of stakeholder engagement; a lack of CSE competency and skills; holding back culturally sensitive topics; a lack of guidance from the comprehensive sexuality curriculum; and a lack of CSE prioritisation in schools. Themes on preferences included: the formation of community advisory boards; the need to enhance teachers’ professional competencies, linking CSE with community SRH services, pupils SRH needs assessment. Conclusions: A community participatory approach to the design and implementation of a CSE programme is critical in enhancing programme acceptability in schools. While understanding the experiences and preferences of pupils regarding CSE can help determine programme content and priority, improving teachers’ competency and skills through appropriate CSE training can help to reconcile teachers’ personal beliefs and the content of CSE.
Community Resource: Large-Scale Proteogenomics to Refine Wheat Genome Annotations
Authors: Vincent Delphine , Appels Rudi
Published: August 2024

Triticum aestivum is an important crop whose reference genome (International Wheat Genome Sequencing Consortium (IWGSC) RefSeq v2.1) offers a valuable resource for understanding wheat genetic structure, improving agronomic traits, and developing new cultivars. A key aspect of gene model annotation is protein-level evidence of gene expression obtained from proteomics studies, followed up by proteogenomics to physically map proteins to the genome. In this research, we have retrieved the largest recent wheat proteomics datasets publicly available and applied the Basic Local Alignment Search Tool (tBLASTn) algorithm to map the 861,759 identified unique peptides against IWGSC RefSeq v2.1. Of the 92,719 hits, 83,015 unique peptides aligned along 33,612 High Confidence (HC) genes, thus validating 31.4% of all wheat HC gene models. Furthermore, 6685 unique peptides were mapped against 3702 Low Confidence (LC) gene models, and we argue that these gene models should be considered for HC status. The remaining 2934 orphan peptides can be used for novel gene discovery, as exemplified here on chromosome 4D. We demonstrated that tBLASTn could not map peptides exhibiting mid-sequence frame shift. We supply all our proteogenomics results, Galaxy workflow and Python code, as well as Browser Extensible Data (BED) files as a resource for the wheat community via the Apollo Jbrowse, and GitHub repositories. Our workflow could be applied to other proteomics datasets to expand this resource with proteins and peptides from biotically and abiotically stressed samples. This would help tease out wheat gene expression under various environmental conditions, both spatially and temporally.
Maternal Exposure to Low-Dose BDE-47 Induced Weight Gain and Impaired Insulin Sensitivity in the Offspring
Authors: Strunz Sandra , Strachan Rebecca , Bauer Mario , Zenclussen Ana C. , Leppert Beate , Junge Kristin M. , Polte Tobias
Published: August 2024

Polybrominated diphenyl ethers (PBDEs), commonly used as synthetic flame retardants, are present in a variety of consumer products, including electronics, polyurethane foams, textiles, and building materials. Initial evidence from epidemiological and experimental studies suggests that maternal PBDE exposure may be associated with a higher BMI in children, with disturbance of energy metabolism and an increased risk of Type 2 diabetes. However, the causality between early exposure to real-life PBDE concentrations and increased weight as well as mechanisms underlying impaired metabolic pathways in the offspring remain elusive. Here, using a mouse model we examined the effect of maternal exposure to 2,2′,4,4′-tetrabrominated diphenyl ether (BDE-47), the most abundant congener in human samples, on offspring weight gain and energy homeostasis using a mouse model. Maternal exposure to BDE-47 at low dose resulted in weight gain in female offspring together with an impaired glucose and insulin tolerance in both female and male mice. In vitro and in vivo data suggest increased adipogenesis induced by BDE-47, possibly mediated by DNA hypermethylation. Furthermore, mRNA data suggest that neuronal dysregulation of energy homeostasis, driven via a disturbed leptin signaling may contribute to the observed weight gain as well as impaired insulin and glucose tolerance.
The Influence of the Protozoan Giardia lamblia on the Modulation of the Immune System and Alterations in Host Glucose and Lipid Metabolism
Authors: Klimczak Sylwia , Packi Kacper , Rudek Alicja , Wenclewska Sylwia , Kurowski Marcin , Kurczabińska Daniela , Śliwińska Agnieszka
Published: August 2024

Giardia lamblia, the cause of giardiasis, significantly impacts patients with metabolic disorders related to insulin resistance (IR). Both giardiasis and metabolic disorders share elements such as chronic inflammation and intestinal dysbiosis, which substantially affect the metabolic and cytokine profiles of patients. This review discusses the mechanisms of virulence of G. lamblia, its influence on the immune system, and its association with metabolic disorders. The review aims to show how G. lamblia invasion acts on the immune system and the glucose and lipid metabolism. Key findings reveal that G. lamblia infection, by disrupting intestinal permeability, alters microbiota composition and immune responses, potentially impairing metabolic status. Future research should focus on elucidating the specific mechanisms by which G. lamblia influences the metabolism, exploring the long-term consequences of chronic infection, and developing targeted therapeutic strategies that include both parasitic and metabolic aspects. These insights underscore the need for a multidisciplinary approach to the treatment of giardiasis in patients with metabolic disorders.
Specific Deletions of Chromosomes 3p, 5q, 13q, and 21q among Patients with G2 Grade of Non-Small Cell Lung Cancer
Authors: Kolecka-Bednarczyk Agata , Frydrychowicz Magdalena , Budny Bartłomiej , Ruciński Marcin , Dompe Claudia , Gabryel Piotr , Płachno Bartosz J. , Ruchała Marek , Ziemnicka Katarzyna , Zieliński Paweł , Budna-Tukan Joanna
Published: August 2024

Non-small cell lung cancer (NSCLC) leads as a primary cause of cancer-related premature mortality in Western populations. This study leverages cutting-edge gene-expression-profiling technologies to perform an in-depth molecular characterization of NSCLC specimens, with the objective of uncovering tumor-specific genomic alterations. By employing DNA microarray analysis, our research aims to refine the classification of NSCLC for early detection, guide molecular-targeted treatment approaches, enhance prognostication, and broaden the scientific understanding of the disease’s biology. We identified widespread genomic abnormalities in our samples, including the recurrent loss of chromosomal regions 3p, 5q, 13q, and 21q and the gain of 12p. Furthermore, utilizing Metascape for bioinformatic analysis revealed critical biological pathways disrupted in NSCLC, offering promising leads for novel therapeutic interventions.
Trajectory Analysis in Single-Particle Tracking: From Mean Squared Displacement to Machine Learning Approaches
Authors: Schirripa Spagnolo Chiara , Luin Stefano
Published: August 2024

Single-particle tracking is a powerful technique to investigate the motion of molecules or particles. Here, we review the methods for analyzing the reconstructed trajectories, a fundamental step for deciphering the underlying mechanisms driving the motion. First, we review the traditional analysis based on the mean squared displacement (MSD), highlighting the sometimes-neglected factors potentially affecting the accuracy of the results. We then report methods that exploit the distribution of parameters other than displacements, e.g., angles, velocities, and times and probabilities of reaching a target, discussing how they are more sensitive in characterizing heterogeneities and transient behaviors masked in the MSD analysis. Hidden Markov Models are also used for this purpose, and these allow for the identification of different states, their populations and the switching kinetics. Finally, we discuss a rapidly expanding field—trajectory analysis based on machine learning. Various approaches, from random forest to deep learning, are used to classify trajectory motions, which can be identified by motion models or by model-free sets of trajectory features, either previously defined or automatically identified by the algorithms. We also review free software available for some of the analysis methods. We emphasize that approaches based on a combination of the different methods, including classical statistics and machine learning, may be the way to obtain the most informative and accurate results.
Mechanisms of Cell Death Induced by Erastin in Human Ovarian Tumor Cells
Authors: Sinha Birandra K. , Murphy Carri , Brown Shalyn M. , Silver Brian B. , Tokar Erik J. , Bortner Carl D.
Published: August 2024

Erastin (ER) induces cell death through the formation of reactive oxygen species (ROS), resulting in ferroptosis. Ferroptosis is characterized by an accumulation of ROS within the cell, leading to an iron-dependent oxidative damage-mediated cell death. ER-induced ferroptosis may have potential as an alternative for ovarian cancers that have become resistant due to the presence of Ras mutation or multi-drug resistance1 (MDR1) gene expression. We used K-Ras mutant human ovarian tumor OVCAR-8 and NCI/ADR-RES, P-glycoprotein-expressing cells, to study the mechanisms of ER-induced cell death. We used these cell lines as NCI/ADR-RES cells also overexpresses superoxide dismutase, catalase, glutathione peroxidase, and transferase compared to OVCAR-8 cells, leading to the detoxification of reactive oxygen species. We found that ER was similarly cytotoxic to both cells. Ferrostatin, an inhibitor of ferroptosis, reduced ER cytotoxicity. In contrast, RSL3 (RAS-Selective Ligand3), an inducer of ferroptosis, markedly enhanced ER cytotoxicity in both cells. More ROS was detected in OVCAR-8 cells than NCI/ADR-RES cells, causing more malondialdehyde (MDA) formation in OVCAR-8 cells than in NCI/ADR-RES cells. RSL3, which was more cytotoxic to NCI/ADR-RES cells, significantly enhanced MDA formation in both cells, suggesting that glutathione peroxidase 4 (GPX4) was involved in ER-mediated ferroptosis. ER treatment modulated several ferroptosis-related genes (e.g., CHAC1, GSR, and HMOX1/OX1) in both cells. Our study indicates that ER-induced ferroptotic cell death may be mediated similarly in both NCI/ADR-RES and OVCAR-8 cells. Additionally, our results indicate that ER is not a substrate of P-gp and that combinations of ER and RSL3 may hold promise as more effective treatment routes for ovarian cancers, including those that are resistant to other current therapeutic agents.
Innovating Gastronomy through Information Technology: A Bibliometric Analysis of 3D Food Printing for Present and Future Research
Authors: Elshaer Ibrahim A. , Azazz Alaa M. S. , Zayed Mohamed A. , Ameen Faleh A. , Fayyad Sameh , Fouad Amr Mohamed , Khalil Noha Ibrahim , Fathy Eslam Ahmed
Published: August 2024

Three-dimensional food printing (3DFP) has now emerged as the new paradigm shift in culinary arts and is leading to a dramatic transformation of traditional cuisine. This paper aims to conduct a bibliometric analysis of the literature associated with 3DFP research. In the Scopus database, an initial search provided 2188 documents. Applying the PRISMA criteria reduced these documents by narrowing the research to 545 articles. The bibliometric analysis confirmed the growth of research interest in the topic over the past ten years, demonstrating a substantial rise in publications between 2021 and 2023. We also investigated major journals and authors who play the most significant role in the field. The study also provides insight into how 3DFP is applied to deliver delicious, healthy, and visually appealing meals and mitigate food waste. It also highlights and strengthens the argument for design possibilities to manufacture such shapes and include other raw materials. This bibliometric analysis not only visualizes 3DFP’s research trend but also provides future research directions, focusing on its role in the food industry and gastronomy as well as its contribution to sustainable development.
Antiarrhythmic Drug Use in Pregnancy: Considerations and Safety Profiles
Authors: Mariani Marco Valerio , Pierucci Nicola , La Fazia Vincenzo Mirco , Cipollone Pietro , Micillo Marco , D’Amato Andrea , Fanisio Francesca , Ammirati Giuseppe , Salagundla Nethuja , Lavalle Carlo , Perrone Marco Alfonso
Published: August 2024

Pregnancy entails notable physiological alterations and hormonal fluctuations that affect the well-being of both the fetus and the mother. Cardiovascular events and arrhythmias are a major concern during pregnancy, especially in women with comorbidities or a history of arrhythmias. This paper provides an overview of the prevalence, therapies, and prognoses of different types of arrhythmias during pregnancy. The administration of antiarrhythmic drugs (AADs) during pregnancy demands careful consideration because of their possible effect on the mother and fetus. AADs can cross the placenta or be present in breast milk, potentially leading to adverse effects such as teratogenicity, growth restriction, or premature birth. The safety profiles of different classes of AADs are discussed. Individualized treatment approaches and close monitoring of pregnant women prescribed AADs are essential to ensure optimal maternal and fetal outcomes.
Biomarkers in Heart Failure with Preserved Ejection Fraction: A Perpetually Evolving Frontier
Authors: Vrabie Ana-Maria , Totolici Stefan , Delcea Caterina , Badila Elisabeta
Published: August 2024

Heart failure with preserved ejection fraction (HFpEF) represents a complex clinical syndrome, often very difficult to diagnose using the available tools. As the global burden of this disease is constantly growing, surpassing the prevalence of heart failure with reduced ejection fraction, during the last few years, efforts have focused on optimizing the diagnostic and prognostic pathways using an immense panel of circulating biomarkers. After the paradigm of HFpEF development emerged more than 10 years ago, suggesting the impact of multiple comorbidities on myocardial structure and function, several phenotypes of HFpEF have been characterized, with an attempt to find an ideal biomarker for each distinct pathophysiological pathway. Acknowledging the limitations of natriuretic peptides, hundreds of potential biomarkers have been evaluated, some of them demonstrating encouraging results. Among these, soluble suppression of tumorigenesis-2 reflecting myocardial remodeling, growth differentiation factor 15 as a marker of inflammation and albuminuria as a result of kidney dysfunction or, more recently, several circulating microRNAs have proved their incremental value. As the number of emerging biomarkers in HFpEF is rapidly expanding, in this review, we aim to explore the most promising available biomarkers linked to key pathophysiological mechanisms in HFpEF, outlining their utility for diagnosis, risk stratification and population screening, as well as their limitations.
From Cognitive Function to Treatment Efficacy in Obsessive–Compulsive Disorder: Insights from a Multidimensional Meta-Analytic Approach
Authors: Harkin Ben , Yates Alan
Published: August 2024

Meta-analysis is a statistical tool used to combine and synthesise the results of multiple independent studies on a particular topic. To this end, researchers isolate important moderators and mediators to investigate their influence on outcomes. This paper introduces a novel approach to meta-analysis, known as multidimensional meta-analysis (mi-MA), to study memory performance in those with obsessive–compulsive disorder (OCD). Unlike traditional meta-analyses, mi-MA allows researchers to extract multiple data points (e.g., using different measures) from single studies and groups of participants, facilitating the exploration of relationships between various moderators while avoiding multicollinearity issues. Therefore, in the first instance, we outline the use of the mi-MA approach to quantify the impact of complex models of memory performance in individuals with OCD. This approach provides novel insights into the complex relationship between various factors affecting memory in people with OCD. By showcasing the effectiveness of mi-MA in analysing intricate data and modelling complex phenomena, the paper establishes it as a valuable tool for researchers exploring multifaceted phenomena, both within OCD research and beyond.
Placenta-Mediated Conditions: Past, Present, and Future Perspectives
Authors: Rottenstreich Amihai
Published: August 2024

Pregnancy is a highly regulated biological condition in which a successful outcome is heavily dependent on maintaining a delicate balance through maternal–fetal dialog at various levels [...]
A New Era for PET/CT: Applications in Non-Tumorous Renal Pathologies
Authors: Moghrabi Serin , Abdlkadir Ahmed Saad , Al-Hajaj Nabeela , Gnanasegaran Gopinath , Kumar Rakesh , Syed Ghulam , Bozkurt Murat Fani , Shukri Saad , Obeidat Shahed , Khalaf Aysar , Shahait Mohammed , Al-Nabhani Khalsa , Al-Ibraheem Akram
Published: August 2024

Non-tumorous kidney diseases include a variety of conditions affecting both the structure and function of the kidneys, thereby causing a range of health-related problems. Positron emission tomography/computed tomography (PET/CT) has emerged as a potential diagnostic tool, offering a multifaceted approach to evaluating non-tumorous kidney diseases. Its clinical significance extends beyond its conventional role in cancer imaging, enabling a comprehensive assessment of renal structure and function. This review explores the diverse applications of PET/CT imaging in the evaluation of non-cancerous kidney diseases. It examines PET/CT’s role in assessing acute kidney injuries, including acute pyelonephritis and other forms of nephritis, as well as chronic conditions such as immune complex-mediated glomerulonephritis and chronic kidney disease. Additionally, the review delves into PET/CT’s utility in evaluating complications in renal transplant recipients, identifying renal histiocytosis and detecting renal amyloidosis. The current review aims to promote further research and technological advancements to popularize PET/CT’s clinical utility in diagnosing and treating non-tumorous kidney diseases.
Sedation for GI Endoscopy in the Morbidly Obese: Challenges and Possible Solutions
Authors: Sundararaman Lalitha , Goudra Basavana
Published: August 2024

With the increasing prevalence of obesity and morbid obesity, this subgroup’s contribution to patients presenting for elective procedures requiring sedation is significant. Gastrointestinal (GI) procedures clearly form the largest group of such procedures. These procedures may be intended to treat obesity such as the insertion of an intragastric balloon or one or more unrelated procedures such as a screening colonoscopy and (or) diagnostic/therapeutic endoscopy. Regardless of the procedure, these patients pose significant challenges in terms of choice of sedatives, dosing, airway management, ventilation, and oxygenation. An understanding of dissimilarity in the handling of different groups of medications used by an anesthesia provider and alterations in airway anatomy is critical for providing safe sedation. Administration of sedative medications and conduct of anesthesia requires dose modifications and airway adjuncts. In this review, we discuss the above issues in detail, with a particular focus on GI endoscopy.