bluuebunny/crossref_metadata_2025 huggingface dataset:
Applications of Plant Bioactive Compounds as Replacers of Synthetic Additives in the Food Industry
Authors: Nieto Gema , Martínez-Zamora Lorena , Peñalver Rocío , Marín-Iniesta Fulgencio , Taboada-Rodríguez Amaury , López-Gómez Antonio , Martínez-Hernández Ginés Benito
Published: December 2023

According to the Codex Alimentarius, a food additive is any substance that is incorporated into a food solely for technological or organoleptic purposes during the production of that food. Food additives can be of synthetic or natural origin. Several scientific evidence (in vitro studies and epidemiological studies like the controversial Southampton study published in 2007) have pointed out that several synthetic additives may lead to health issues for consumers. In that sense, the actual consumer searches for “Clean Label” foods with ingredient lists clean of coded additives, which are rejected by the actual consumer, highlighting the need to distinguish synthetic and natural codded additives from the ingredient lists. However, this natural approach must focus on an integrated vision of the replacement of chemical substances from the food ingredients, food contact materials (packaging), and their application on the final product. Hence, natural plant alternatives are hereby presented, analyzing their potential success in replacing common synthetic emulsifiers, colorants, flavorings, inhibitors of quality-degrading enzymes, antimicrobials, and antioxidants. In addition, the need for a complete absence of chemical additive migration to the food is approached through the use of plant-origin bioactive compounds (e.g., plant essential oils) incorporated in active packaging.
Current Biomedical Applications of 3D-Printed Hydrogels
Authors: Barcena Allan John R. , Dhal Kashish , Patel Parimal , Ravi Prashanth , Kundu Suprateek , Tappa Karthik
Published: December 2023

Three-dimensional (3D) printing, also known as additive manufacturing, has revolutionized the production of physical 3D objects by transforming computer-aided design models into layered structures, eliminating the need for traditional molding or machining techniques. In recent years, hydrogels have emerged as an ideal 3D printing feedstock material for the fabrication of hydrated constructs that replicate the extracellular matrix found in endogenous tissues. Hydrogels have seen significant advancements since their first use as contact lenses in the biomedical field. These advancements have led to the development of complex 3D-printed structures that include a wide variety of organic and inorganic materials, cells, and bioactive substances. The most commonly used 3D printing techniques to fabricate hydrogel scaffolds are material extrusion, material jetting, and vat photopolymerization, but novel methods that can enhance the resolution and structural complexity of printed constructs have also emerged. The biomedical applications of hydrogels can be broadly classified into four categories—tissue engineering and regenerative medicine, 3D cell culture and disease modeling, drug screening and toxicity testing, and novel devices and drug delivery systems. Despite the recent advancements in their biomedical applications, a number of challenges still need to be addressed to maximize the use of hydrogels for 3D printing. These challenges include improving resolution and structural complexity, optimizing cell viability and function, improving cost efficiency and accessibility, and addressing ethical and regulatory concerns for clinical translation.
Determination of Constrained Modulus of Granular Soil from In Situ Tests—Part 1 Analyses
Authors: Massarsch K. Rainer
Published: December 2023

Assessing the constrained modulus is a critical step in calculating settlements in granular soils. This paper describes a novel concept of how the constrained modulus can be derived from seismic tests. The advantages and limitations of seismic laboratory and field tests are addressed. Based on a comprehensive review of laboratory resonant column and torsional shear tests, the most important parameters affecting the shear modulus, such as shear strain and confining stress, are defined quantitatively. Also, Poisson’s ratio, which is needed to convert shear modulus to constrained modulus, is strain-dependent. An empirical relationship is presented from which the variation in the secant shear modulus with shear strain can be defined numerically within a broad strain range (10−4–10−0.5%). The tangent shear modulus was obtained by differentiating the secant shear modulus. According to the tangent modulus concept, the tangent constrained modulus is governed by the modulus number, m, and the stress exponent, j. Laboratory test results on granular soils are reviewed, based on which it is possible to estimate the modulus number during virgin loading and unloading/reloading. A correlation is proposed between the small-strain shear modulus, G0, and the modulus number, m. The modulus number can also be derived from static cone penetration tests, provided that the cone resistance is adjusted with respect to the mean effective stress. In a companion paper, the concepts presented in this paper are applied to data from an experimental site, where different types of seismic tests and cone penetration tests were performed.
Severe Loneliness and Isolation in Nursing Students during COVID-19 Lockdown: A Phenomenological Study
Authors: Zhu Pingting , Wang Wen , Qian Meiyan , Shi Guanghui , Zhang Qianqian , Xu Ting , Xu Huiwen , Zhang Hui , Gu Xinyue , Ding Yinwen , Lee Amanda , Hayter Mark
Published: December 2023

In 2022, COVID-19 continued to spread across the globe, and to stop the spread of the virus and protect people’s health, universities across China continued to remain in a lockdown state. Loneliness is an important topic among college students, and the coronavirus pandemic has exacerbated loneliness. This prolonged school lockdown was unprecedented and it caused severe social isolation and emotional loneliness for students. Few people know how nursing students experience loneliness and find a way through their experience. This qualitative phenomenological study was conducted to reveal the lived experiences of nursing students who indicated COVID-19 lockdown-related loneliness in a previous quantitative survey. We performed 20 semi-structured interviews with nursing students aged 19–23 yrs during their lockdown (April 2022 to June 2022). Our research applied Colaizzi’s seven-step data analysis processes to reveal shared patterns in terms of how nursing students experienced lockdown and found the following four themes: emotional challenges associated with loneliness; causes of loneliness; positive and negative motivation to learn; and accepting solitude and reconstructing real life.
Cost Impact Comparative Analysis via BIM between Heritage Regular Maintenance Projects and Long-Term Restoration Projects—A Case Study
Authors: Tahoon Doaa , El-Zohairy Ayman , Hendawy Hesham Ibrahim
Published: December 2023

The financial implications of long-term restoration projects for cultural heritage, as compared to regular maintenance efforts, often underscore a flawed decision-making process. This can result from years of neglect versus consistent, organized maintenance. Striking a balance between these strategies is paramount for preserving cultural legacies. This research aims to evaluate the trade-offs between the initial expenditures of restoration initiatives and the consistent costs of maintenance activities. We leverage Building Information Modelling (BIM) and its specialized application for heritage preservation, known as Heritage Building Information Modelling (HBIM). This offers a digital depiction of the heritage building’s conservation state and associated intervention costs. Specifically, this study taps into the fifth dimension of BIM, cost estimation, to draw a comparative analysis between the financial ramifications of regular maintenance and long-term restoration projects. This assessment is exemplified through a case study on the “Aidkeen Al-Bendqdari Dome” located in historic Cairo, Egypt—a component of the Prince Taz Palace. The analysis integrates cost data to generate insights. The ultimate goal is to devise a comparative framework that can guide authorities in budgetary decisions and resource distribution.
Genetically Modified Legume Plants as a Basis for Studying the Signal Regulation of Symbiosis with Nodule Bacteria
Authors: Bovin Andrey D. , Dolgikh Alexandra V. , Dymo Alina M. , Kantsurova Elizaveta S. , Pavlova Olga A. , Dolgikh Elena A.
Published: December 2023

The development of legume–rhizobial symbiosis results in the formation of nitrogen-fixing root nodules. In response to rhizobial molecules, Nod factors, signal transduction is mediated by the interaction of activated receptors with downstream signaling proteins. Previously, some new regulators of the signal pathway, such as phospholipases D, which regulate the level of phosphatidic acid (PA), as well as mitogen-activated protein kinases (MAPKs), have been identified in legumes. Since PA is an important signal messenger, we tested the hypothesis that increasing the level of proteins involved in the reversible binding of PA in plant tissues may have a positive effect on symbiosis. Our findings showed that overexpression of MtSPHK1-PA, encoding the PA-binding domain of sphingosine kinase 1 (SPHK1), stimulated plant growth and nodule development in legume plants. Furthermore, the influence of MAPK6 on the development of symbiosis was studied. Using genetic engineering methods, we increased MAPK6 transcriptional activity in transgenic roots, leading to an increase in the number of nodules and the biomass of pea plants. Therefore, new approaches to obtain plants with an increased efficiency of symbiosis were tested. We report here that both genes that encode signaling proteins may be used as potential targets for future modification using biotechnological approaches.
A Reflection on Paradoxes and Double Binds in the Workplace in the Era of Super-Diversity
Authors: Côté Daniel
Published: December 2023

Occupational health and safety (OHS) is a largely technical field, still guided by a biomedical model of health that seeks to isolate factors that cause injury. Despite a growing literature on organisational and managerial factors influencing occupational health, their full integration into the OHS concept has been slow. A broader understanding is still needed to recognise the restructuring of work and the link between well-being at work and management style. In the context of a rapidly changing world of work, increasing workforce diversity, and inequality, OHS needs to take account of the social sciences and humanities to broaden its reductionist vision. Occupational illnesses, distress, and suffering, especially in relation to relational or organisational issues, have no initial cause or specific ontology; they result from a long-standing process or repetitive relational pattern that needs to be exposed and understood in greater depth, considering contextual factors and dynamics. Using the authors’ anthropological backgrounds and the basic principles of the double bind theory developed many decades ago by Gregory Bateson and his colleagues at the Palo Alto School of Communication, we propose a reflection on pragmatic paradoxes or double bind situations in the workplace (which can be briefly defined as the presence of contradictory or conflicting demands or messages), their potential impact on workers’ health and well-being, and how to resolve them. This paper sought to explore the world of pragmatic paradoxes and double binds by discussing different categories, types, or forms of paradoxes/double binds that occur in the context of occupational health and their underlying mechanisms. It also includes a discussion of the possible link to the concept of super-diversity, as it too is associated with migration channels, employment, gendered flows, and local systems. Finally, we discuss the practical implications of this understanding for health professionals, researchers, and policymakers, from a perspective of promoting more holistic and context-sensitive interactional approaches to occupational health.
Initial Validation of a Behavioral Phenotyping Model for Substance Use Disorder
Authors: Keyser-Marcus Lori , Ramey Tatiana , Bjork James M. , Martin Caitlin E. , Sabo Roy , Moeller F. Gerard
Published: December 2023

Standard nosological systems, such as DSM-5 or ICD-10, are relied upon as the diagnostic basis when developing treatments for individuals with substance use disorder (SUD). Unfortunately, the vast heterogeneity of individuals within a given SUD diagnosis results in a variable treatment response and/or difficulties ascertaining the efficacy signal in clinical trials of drug development. Emerging precision medicine methods focusing on targeted treatments based on phenotypic subtypes rather than diagnosis are being explored as alternatives. The goal of the present study was to provide initial validation of emergent subtypes identified by an addiction-focused phenotyping battery. Secondary data collected as part of a feasibility study of the NIDA phenotyping battery were utilized. Participants completed self-report measures and behavioral tasks across six neurofunctional domains. Exploratory and confirmatory factor analysis (EFA/CFA) were conducted. A three-factor model consisting of negative emotionality, attention/concentration, and interoception and mindfulness, as well as a four-factor model adding a second negative emotion domain, emerged from the EFA as candidate models. The CFA of these models did not result in a good fit, possibly resulting from small sample sizes that hindered statistical power.
Colorectal Cancer: Current Updates and Future Perspectives
Authors: Marcellinaro Rosa , Spoletini Domenico , Grieco Michele , Avella Pasquale , Cappuccio Micaela , Troiano Raffaele , Lisi Giorgio , Garbarino Giovanni M. , Carlini Massimo
Published: December 2023

Colorectal cancer is a frequent neoplasm in western countries, mainly due to dietary and behavioral factors. Its incidence is growing in developing countries for the westernization of foods and lifestyles. An increased incidence rate is observed in patients under 45 years of age. In recent years, the mortality for CRC is decreased, but this trend is slowing. The mortality rate is reducing in those countries where prevention and treatments have been implemented. The survival is increased to over 65%. This trend reflects earlier detection of CRC through routine clinical examinations and screening, more accurate staging through advances in imaging, improvements in surgical techniques, and advances in chemotherapy and radiation. The most important predictor of survival is the stage at diagnosis. The screening programs are able to reduce incidence and mortality rates of CRC. The aim of this paper is to provide a comprehensive overview of incidence, mortality, and survival rate for CRC.
Clinical Management of Movement Disorders
Authors: di Biase Lazzaro
Published: December 2023

Movement disorders include a wide and heterogeneous variety of signs and syndromes, which are classified as hyperkinetic [...]
Immediate Effects of Aerobic Exercise and Whole-Body Vibration on Fat Oxidation, Lipid Mobilization, and Cardiovascular Response in Individuals with Obesity
Authors: Nantakool Sothida , Punturee Khanittha , Konghakote Supatcha , Sitthichoke Cattaleeya , Phirom Kochaphan , Chuatrakoon Busaba
Published: December 2023

Among obesity, cumulative fat and poor physical activity are risk factors for cardiovascular disease. Due to the limit in performing aerobic exercise (AER), whole-body vibration (WBV) as a passive form of exercise is an alternative therapeutic strategy. Herein, this study aimed to compare the immediate effects of AER and WBV on metabolic and cardiovascular responses, and dyspnea level in obesity. Forty-nine eligible obesities performed both AER and WBV, with a random order assignment (age = 28.94 ± 11.39 years). Fat oxidation, cardiovascular parameters (i.e., heart rate (HR) and blood pressure (BP)), and dyspnea level (i.e., rating perceived exertion (RPE)) were measured during exercise, while lipid mobilization (i.e., triglycerides) was collected pre- and post-exercise. Fat oxidation rate in AER was significantly higher than in WBV. Significantly increased fat oxidation rates were shown in both groups (within-group analyses) (also shown in females aged 20–45). Triglyceride levels between AER and WBV were similar. A significant decrease in triglyceride levels was only observed in WBV (within-group change). HR and RPE in AER were significantly higher than in WBV (p < 0.05). HR and RPE were significantly increased throughout both AER and WBV, while systolic blood pressure was only significantly elevated in AER (whining-group analyses). WBV may facilitate fat oxidation (particularly in females aged below 45), induce lipid mobilization, and reduce interference on cardiovascular parameters in obesity.
Initial Treatment with Biological Therapy in Rheumatoid Arthritis
Authors: Tornero Molina Jesús , Hernández-Cruz Blanca , Corominas Héctor
Published: December 2023

Background: We aimed to analyse the effectiveness, efficiency, and safety of initial treatment with biological therapies in rheumatoid arthritis (RA). Methods: Qualitative study. A group of RA experts was selected. A scoping review in Medline was conducted to analyse the evidence of initial RA treatment with biological therapies. Randomised clinical trials were selected. Two reviewers analysed the articles and compiled the data, whose quality was assessed using the Jadad scale. The experts discussed the review’s findings and generated a series of general principles: Results: Seventeen studies were included. Most of the included patients were middle-aged women with early RA (1–7 months) and multiple poor prognostic factors. Initial treatment with TNF-alpha inhibitors combined with methotrexate (MTX) and an IL6R inhibitor (either in mono or combination therapy) is effective (activity, function, radiographic damage, quality of life), safe, and superior to MTX monotherapy in the short and medium term. In the long term, patients who received initial treatment with biologicals presented better results than those whose initial therapy was with MTX. Conclusions: Initial treatment of RA with biological therapies is effective, efficient, and safe in the short, medium, and long term, particularly for patients with poor prognostic factors.
The Relationship between Body Composition and Physical Activity Level in Students of Medical Faculties
Authors: Jaremków Aleksandra , Markiewicz-Górka Iwona , Hajdusianek Wojciech , Czerwińska Karolina , Gać Paweł
Published: December 2023

Maintaining an active lifestyle is crucial for good health. Markers of health risk include tissue components. This study aimed to indicate which body composition elements create the strongest correlations with physical activity performed in young students of medical faculties. The study group consisted of 75 students (33 men and 42 women) from Wroclaw Medical University. Each student underwent accelerometer and anthropometric measurements and body composition analysis. Both men and women had similar physical activity levels. The study found that the amount of vigorous physical activity correlated significantly with the basal metabolic rate (BMR), fat, water and muscle content, fat-free mass (FFM), bone mass, extracellular to intracellular water ratio (ECW/ICW), and phase angle (PA), with r~ ± (0.2–0.4). The amount of moderate physical activity correlated with body mass, body mass index (BMI), BMR, FFM, and bone mass, with r~0.3–0.5. There are dimorphic differences in the strength of correlations between physical activity and elements of body composition. A greater amount of moderate and vigorous physical activity is associated with greater FFM and bone mass in men, which causes BMI to increase as well (in this case, higher BMI is not a sign of being overweight). For women, the beneficial effect of higher amounts of vigorous physical activity on reducing fat content and increasing muscle mass is more pronounced. In both men and women, an improvement in hydration is evident with increased vigorous physical activity volume.
Systematic Review of Myopia Progression after Cessation of Optical Interventions for Myopia Control
Authors: Chiu Yu-Chieh , Tsai Ping-Chiao , Lee Ssu-Hsien , Wang Jen-Hung , Chiu Cheng-Jen
Published: December 2023

Despite high discontinuation rates for myopia optical interventions, limited attention has been given to the potential rebound effects post-discontinuation. This systematic review aims to assess the extent of the rebound effects following the cessation of common clinical optical myopia-control interventions in children. A comprehensive search of PubMed, Embase, Cochrane CENTRAL, and ClinicalTrials.gov was conducted from inception to October 2023. The rebound effects, defined as changes in the axial length or spherical equivalent during and after treatment cessation, were categorized into four levels. These studies encompassed 703 participants and spanned from 2019 to 2023, with durations of treatment and cessation ranging from 6 months to 3.5 years and from 2 weeks to 5 years, respectively. This review, encompassing 14 studies, revealed a predominant strong rebound effect in orthokeratology (8 studies), a weak rebound effect in multifocal soft contact lenses (4 studies), and a variable rebound effect in peripheral-plus spectacle lenses (2 studies). Notably, with the increasing cessation duration, the rebound effects diminished, potentially linked to the reversal of choroidal thickening and the disappearance of peripheral myopic defocus. In conclusion, a temporal trend of rebound effects exists in all three myopia optical interventions, possibly contributing to their myopia control mechanisms.
Effect of a Cross-Training and Resistance Exercise Routine on IL-15 in Adults with Type B Acute Lymphoblastic Leukemia during the Induction Phase: Randomized Pilot Study
Authors: Gallardo Rodríguez Adán Germán , Olarte Carrillo Irma , Martínez Tovar Adolfo , Cerón Maldonado Rafael , Martínez Moreno Emmanuel , Ramos Peñafiel Christian Omar
Published: December 2023

IL-15 is a proinflammatory myokine essential for activating NK cells and CD8+ T lymphocytes, and its overexpression has been related to reducing overall survivorship in patients with acute lymphoblastic leukemia (ALL). Physical exercise has been shown to be safe, feasible, and beneficial in hematological cancers. Exercise requires the activation of muscles that secrete cytokines, such as IL-15, causing immune mobilization. The objective was to compare the outcomes of two training routines on IL-15 and survival prognosis in adult patients diagnosed with ALL. A blind randomized clinical study was carried out where twenty-three peripheral blood samples were obtained pre and postexercise intervention from patients categorized into three types of intervention: the resistance exercise group (REG), the cross-training exercise group (CEG), and the control group (CG). Changes in IL-15 levels during the intervention were not significant in any of the groups (CG p = 0.237, REG p = 0.866, and CEG p = 0.678). However, 87.5% of patients who received an exercise intervention achieved remission, while only 21.73% experienced a relapse. There were no deaths during the study. Although IL-15 level adaptation in the REG and the CG performed similarly, the REG induced a better clinical outcome. Resistance exercises may help improve survival prognosis and reduce relapses in patients with ALL.
Research on the Influence of Negative KERMA Factors on the Power Distribution of a Lead-Cooled Fast Reactor
Authors: Jia Guanqun , Ma Xubo , Zhang Teng , Hu Kui
Published: December 2023

The accurate calculation of reactor core heating is vital for the design and safety analysis of reactor physics. However, negative KERMA factors may be produced when processing and evaluating libraries of the nuclear data files ENDF/B-VII.1 and ENDF/B-VIII.0 with the NJOY2016 code, and the continuous-energy neutron cross-section library ENDF71x with MCNP also has the same problem. Negative KERMA factors may lead to an unreasonable reactor heating rate. Therefore, it is important to investigate the influence of negative KERMA factors on the calculation of the heating rate. It was also found that negative KERMA factors can be avoided with the CENDL-3.2 library for some nuclides. Many negative KERMA nuclides are found for structural materials; there are many non-fuel regions in fast reactors, and these negative KERMA factors may have a more important impact on the power distribution in non-fuel regions. In this study, the impact of negative KERMA factors on power calculation was analyzed by using the RBEC-M benchmark and replacing the neutron cross-section library containing negative KERMA factors with one containing normal KERMA factors that were generated based on CENDL-3.2. For the RBEC-M benchmark, the deviation in the maximum neutron heating rate between the negative KERMA library and the normal library was 6.46%, and this appeared in the reflector region. In the core region, negative KERMA factors had little influence on the heating rate, and the deviations in the heating rate in most assemblies were within 1% because the heating was mainly caused by fission. However, in the reflector zone, where gamma heating was dominant, the total heating rate varied on account of the gamma heating rate. Therefore, negative KERMA factors for neutrons have little influence on the calculation of fast reactor heating according to the RBEC-M benchmark.
The Genotoxicity of Organic Extracts from Particulate Emissions Produced by Neat Gasoline (E0) and a Gasoline–Ethanol Blend (E15) in BEAS-2B Cells
Authors: Libalova Helena , Zavodna Tana , Elzeinova Fatima , Barosova Hana , Cervena Tereza , Milcova Alena , Vankova Jolana , Paradeisi Foteini , Vojtisek-Lom Michal , Sikorova Jitka , Topinka Jan , Rossner Pavel
Published: December 2023

Emissions from modern gasoline engines represent an environmental and health risk. In this study, we aimed to compare the toxicity of organic compound mixtures extracted from particulate matter (PM extracts) produced by neat gasoline (E0) and a blend containing 15% ethanol (E15), which is offered as an alternative to non-renewable fossil fuels. Human lung BEAS-2B cells were exposed to PM extracts, and biomarkers of genotoxicity, such as DNA damage evaluated by comet assay, micronuclei formation, levels of phosphorylated histone H2AX, the expression of genes relevant to the DNA damage response, and exposure to polycyclic aromatic hydrocarbons (PAHs), were determined. Results showed that both PM extracts significantly increased the level of oxidized DNA lesions. The E0 extract exhibited a more pronounced effect, possibly due to the higher content of nitrated PAHs. Other endpoints were not substantially affected by any of the PM extracts. Gene expression analysis revealed mild but coordinated induction of genes related to DNA damage response, and a strong induction of PAH-inducible genes, indicating activation of the aryl hydrocarbon receptor (AhR). Our data suggest that the addition of ethanol into the gasoline diminished the oxidative DNA damage, but no effect on other genotoxicity biomarkers was observed. Activated AhR may play an important role in the toxicity of gasoline PM emissions.
The Potential for Genotoxicity, Mutagenicity and Endocrine Disruption in Triclosan and Triclocarban Assessed through a Combination of In Vitro Methods
Authors: Chrz Jan , Dvořáková Markéta , Kejlová Kristina , Očadlíková Danuše , Svobodová Lada , Malina Lukáš , Hošíková Barbora , Jírová Dagmar , Bendová Hana , Kolářová Hana
Published: December 2023

Triclosan and Triclocarban, preservatives widely used in cosmetics and other consumer products, underwent evaluation using a battery of new-approach methodologies in vitro (NAMs). Specifically, the Microplate Ames Test (MPF™ Test, Xenometrix, Allschwil, Switzerland) was employed to assess mutagenicity, the Comet assay in vitro on the HaCat cell line and the Mammalian Chromosome Aberration Test were utilized to evaluate genotoxicity, and the XenoScreen® YES/YAS assay was applied to investigate endocrine disruption. The chemicals did not exhibit any positive responses for mutagenicity. However, the mammalian chromosome aberration test identified both chemicals as being positive for genotoxicity at 10 µg/mL. In the Comet assay, the percentage of DNA in the tail significantly increased in a concentration-dependent manner (at 5 and 10 µg/mL for Triclosan, at 2.5, 5, and 10 µg/mL for Triclocarban). The positive response depended on the increasing concentration and the duration of exposure. Triclosan, but not Triclocarban in any of the endocrine assays performed, indicated a potential for endocrine activity in the anti-estrogenic and anti-androgenic assays. The positive in vitro results detected were obtained for concentrations relevant to final products. The alarming findings obtained with the use of new-approach methodologies (NAMs) justify the current precautionary regulatory approach, limiting the use of these preservatives.
Near-Infrared Spectroscopy with Supervised Machine Learning as a Screening Tool for Neutropenia
Authors: Raposo-Neto José Joaquim , Kowalski-Neto Eduardo , Luiz Wilson Barros , Fonseca Estherlita Almeida , Cedro Anna Karla Costa Logrado , Singh Maneesh N. , Martin Francis L. , Vassallo Paula Frizera , Campos Luciene Cristina Gastalho , Barauna Valerio Garrone
Published: December 2023

The use of non-invasive tools in conjunction with artificial intelligence (AI) to detect diseases has the potential to revolutionize healthcare. Near-infrared spectroscopy (NIR) is a technology that can be used to analyze biological samples in a non-invasive manner. This study evaluated the use of NIR spectroscopy in the fingertip to detect neutropenia in solid-tumor oncologic patients. A total of 75 patients were enrolled in the study. Fingertip NIR spectra and complete blood counts were collected from each patient. The NIR spectra were pre-processed using Savitzky–Golay smoothing and outlier detection. The pre-processed data were split into training/validation and test sets using the Kennard–Stone method. A toolbox of supervised machine learning classification algorithms was applied to the training/validation set using a stratified 5-fold cross-validation regimen. The algorithms included linear discriminant analysis (LDA), logistic regression (LR), random forest (RF), multilayer perceptron (MLP), and support vector machines (SVMs). The SVM model performed best in the validation step, with 85% sensitivity, 89% negative predictive value (NPV), and 64% accuracy. The SVM model showed 67% sensitivity, 82% NPV, and 57% accuracy on the test set. These results suggest that NIR spectroscopy in the fingertip, combined with machine learning methods, can be used to detect neutropenia in solid-tumor oncology patients in a non-invasive and timely manner. This approach could help reduce exposure to invasive tests and prevent neutropenic patients from inadvertently undergoing chemotherapy.
Emergency Department Time Targets for Interhospital Transfer of Patients with Acute Ischemic Stroke
Authors: Popa Daian , Iancu Aida , Petrica Alina , Buleu Florina , Williams Carmen Gabriela , Sutoi Dumitru , Trebuian Cosmin , Tudor Anca , Mederle Ovidiu Alexandru
Published: December 2023

Background and objectives: Although the intravenous tissue plasminogen activator (rt-PA) has been shown to be effective in the treatment of acute ischemic stroke (AIS), only a small proportion of stroke patients receive this drug. The low administration rate is mainly due to the delayed presentation of patients to the emergency department (ED) or the lack of a stroke team/unit in most of the hospitals. Thus, the aim of this study is to analyze ED time targets and the rate of rt-PA intravenous administration after the initial admission of patients with AIS in an ED from a traditional healthcare center (without a neurologist or stroke team/unit). Methods: To analyze which factors influence the administration of rt-PA, we split the general sample (n = 202) into two groups: group No rt-PA (n = 137) and group rt-PA (n = 65). This is based on the performing or no intravenous thrombolysis. Results: Analyzing ED time targets for all samples, we found that the median onset-to-ED door time was 180 min (IQR, 120–217.5 min), door-to-physician time was 4 min (IQR, 3–7 min), door-to-CT time was 52 min (IQR, 48–55 min), and door-in-door-out time was 61 min (IQR, 59–65 min). ED time targets such as door-to-physician time (p = 0.245), door-to-CT time (p = 0.219), door-in-door-out time (p = 0.24), NIHSS at admission to the Neurology department (p = 0.405), or NIHSS after 24 h (p = 0.9) did not have a statistically significant effect on the administration or no rt-PA treatment in patients included in our study. Only the highest door-to-CT time was statistically significantly correlated with the death outcome. Conclusion: In our study, the iv rt-PA administration rate was 32.18%. A statistically significant correlation between the highest door-to-CT time and death outcome was found.
Smartphone-Based versus Non-Invasive Automatic Oscillometric Brachial Cuff Blood Pressure Measurements: A Prospective Method Comparison Volunteer Study
Authors: Delmotte Lila , Desebbe Olivier , Alexander Brenton , Kouz Karim , Coeckelenbergh Sean , Schoettker Patrick , Turgay Tuna , Joosten Alexandre
Published: December 2023

Introduction: Mobile health diagnostics have demonstrated effectiveness in detecting and managing chronic diseases. This method comparison study aims to assess the accuracy and precision of the previously evaluated OptiBP™ technology over a four-week study period. This device uses optical signals recorded by placing a patient’s fingertip on a smartphone’s camera to estimate blood pressure (BP). Methods: In adult participants without cardiac arrhythmias and minimal interarm blood pressure difference (systolic arterial pressure (SAP) < 15 mmHg or diastolic arterial pressure (DAP) < 10 mmHg), three pairs of 30 s BP measurements with the OptiBP™ (test method) were simultaneously compared using three pairs of measurements with the non-invasive oscillometric brachial cuff (reference method) on the opposite arm over a period of four consecutive weeks at a rate of two measurements per week (one in the morning and one in the afternoon). The agreement of BP values between the two technologies was analyzed using Bland–Altman and error grid analyses. The performance of the smartphone application was investigated using the International Organization for Standardization (ISO) definitions, which require the bias ± standard deviation (SD) between two technologies to be lower than 5 ± 8 mmHg. Results: Among the 65 eligible volunteers, 53 participants had adequate OptiBP™ BP values. In 12 patients, no OptiBP™ BP could be measured due to inadequate signals. Only nine participants had known chronic arterial hypertension and 76% of those patients were treated. The mean bias ± SD between both technologies was −1.4 mmHg ± 10.1 mmHg for systolic arterial pressure (SAP), 0.2 mmHg ± 6.5 mmHg for diastolic arterial pressure (DAP) and −0.5 mmHg ± 6.9 mmHg for mean arterial pressure (MAP). Error grid analyses indicated that 100% of the pairs of BP measurements were located in zones A (no risk) and B (low risk). Conclusions: In a cohort of volunteers, we observed an acceptable agreement between BP values obtained with the OptiBPTM and those obtained with the reference method over a four-week period. The OptiBPTM fulfills the ISO standards for MAP and DAP (but not SAP). The error grid analyses showed that 100% measurements were located in risk zones A and B. Despite the need for some technological improvements, this application may become an important tool to measure BP in the future.
Cost Valuation and Climate Mitigation Impacts of Forest Management: A Case Study from Piatra Craiului National Park, Romania
Authors: Chivulescu Serban , Radu Raul Gheorghe , Capalb Florin , Hapa Mihai , Pitar Diana , Marmureanu Luminita , Leca Stefan , Petrea Stefan , Badea Ovidiu
Published: December 2023

With the intensification of the effects of climate change, the urgent need to address their drivers, especially greenhouse gas emissions, has become essential. In this context, forests offer a robust solution, with their potential to store and mitigate carbon emissions. However, striking a balance is critical given the significant economic contribution of the forestry and wood-based industries, which account for about 5% of Romania’s GDP and employ 6% (around 300 thousand) of its active workforce. This study, conducted in the Piatra Craiului National Park located in Romania’s Southern Carpathians, we utilize the EFISCEN application to generate three distinct 50-year forest evolution scenarios based on harvest intensity, namely Business As Usual (BAU), Maximum Intensity (MAX), and No Harvest (MIN), on two historical different managed forests, i.e., conservation and production. The study aims to guide forest owners in decision making with scenario modeling tools, with the objectives of assessing the forest carbon sequestration potential and evaluating the economic feasibility. In the most probable scenario, the BAU scenario, the growing stock increases from 2.6 million m3 to 3.8 million m3 over 50 years, with a more than 40% increase. Comparing the carbon stock change for all tree harvest scenario types indicates that the MIN scenario has the highest carbon sink capacity in the next 50 years; the BAU scenario is a well-balanced option between carbon sink and wood provision and has an optimal EUR 3.7 million in annual revenue. The MAX scenario can boost the growth and increase the annual revenue from wood by 35% but is effective only for a short time and thus has the smallest calculated revenue in time. Achieving a win–win relationship between carbon sequestration and wood supply is imperative, as well as good planning and scenarios to contribute to climate mitigation and also as provisions for local communities and to sustain the local economy.
AAiMLL: Acquisition Advantages in MultiLingual Learners: The Case of the Multilingual Child
Authors: Müller Natascha
Published: December 2023

Cognitive science has demonstrated that multilinguals (including children) show a cognitive advantage over monolinguals. Linguistics has provided evidence that multilinguals (including children) are able to successfully separate their lexicons and grammars and negotiate multilingual environments. Apart from these achievements, linguistics has generally failed to demonstrate a multilingual advantage related to the multilingual’s linguistic proficiency. The present article summarizes the current literature, which shows that there are first indications of an acceleration effect in multilingual children. This effect is discernable if the languages radically differ, if the child uses a ‘weak’ language (often a minority language), if the child acquires more than two languages from birth, and if contact with the language exhibiting the acceleration effect is delayed until kindergarten age. This kind of acceleration effect represents an explanation gap under current theorizing in cognitive science and linguistics, and calls for a new language acquisition theory, a best-of-breed solution for further research in language acquisition. AAiMLL (Acquisition Advantages in MultiLingual Learners) combines cognitive and linguistic aspects with a threshold theory. It is claimed here that the multilingual child learns from two cognitive acquisition strategies. One is fed by grammatical features, and requires the child to (re-)use already acquired knowledge by generalizing to new domains. The other strategy enables the child to consider rejected alternatives of earlier decisions in one language, for use in the other language. An acceleration effect related to the multilingual’s linguistic proficiency is indicative of the success of both strategies. The success of the strategies is argued to be related to a threshold of language usage from a quantitative or a qualitative perspective.
Potential Biomarkers for the Earlier Diagnosis of Kidney and Liver Damage in Acute Intermittent Porphyria
Authors: Storjord Elin , Wahlin Staffan , Karlsen Bård Ove , Hardersen Randolf I. , Dickey Amy K. , Ludviksen Judith K. , Brekke Ole-Lars
Published: December 2023

Acute intermittent porphyria (AIP) is an inherited metabolic disorder associated with complications including kidney failure and hepatocellular carcinoma, probably caused by elevations in the porphyrin precursors porphobilinogen (PBG) and delta-aminolevulinic acid (ALA). This study explored differences in modern biomarkers for renal and hepatic damage between AIP patients and controls. Urine PBG testing, kidney injury panels, and liver injury panels, including both routine and modern biomarkers, were performed on plasma and urine samples from AIP cases and matched controls (50 and 48 matched pairs, respectively). Regarding the participants’ plasma, the AIP cases had elevated kidney injury marker-1 (KIM-1, p = 0.0002), fatty acid-binding protein-1 (FABP-1, p = 0.04), and α-glutathione S-transferase (α-GST, p = 0.001) compared to the matched controls. The AIP cases with high PBG had increased FABP-1 levels in their plasma and urine compared to those with low PBG. In the AIP cases, KIM-1 correlated positively with PBG, CXCL10, CCL2, and TCC, and the liver marker α-GST correlated positively with IL-13, CCL2, and CCL4 (all p < 0.05). In conclusion, KIM-1, FABP-1, and α-GST could represent potential early indicators of renal and hepatic damage in AIP, demonstrating associations with porphyrin precursors and inflammatory markers.
Recycle Option for Municipal Solid Waste Incineration Fly Ash (MSWIFA) as a Partial Replacement for Cement in Mortars Containing Calcium Sulfoaluminate Cement (CSA) and Portland Cement to Save the Environment and Natural Resources
Authors: Poranek Nikolina , Pizoń Jan , Łaźniewska-Piekarczyk Beata , Czajkowski Adrian , Lagashkin Ruslan
Published: December 2023

Reduction of emissions, energy consumption, and use of substitutes for natural resources is an element of sustainable development and the circular economy. Cement production is a process with a high carbon footprint; therefore, minimizing the use of this material has a significant impact on reducing environmental costs. A substitute for cement is municipal solid waste incineration fly ash (MSWIFA). The article presents a method of making an eco-concrete with the use of municipal solid waste incineration hazardous fly ash. The use of secondary waste for the production of building materials additionally contributes to achieving climate neutrality established by the European Union and China. The article analyzes the physicochemical properties of various MSWIFAs, the amount and leachability of heavy metals, and selected elements from MSWIFA and concrete properties. The technical properties of mortars containing MSWIFA were investigated. Consistency is not affected by MSWIFA content, although the workability time is prolonged. Air entraining admixture efficiency is lowered, but the effect lasts longer. The initial setting time is prolonged, and the flexural and compressive strengths are decreased in early terms because of the zinc presence in MSWIFA. MSWIFA does not influence the water demand, volume stability of mortars, or microstructure of cement’s hydration products.
Transfer Learning for Day-Ahead Load Forecasting: A Case Study on European National Electricity Demand Time Series
Authors: Tzortzis Alexandros Menelaos , Pelekis Sotiris , Spiliotis Evangelos , Karakolis Evangelos , Mouzakitis Spiros , Psarras John , Askounis Dimitris
Published: December 2023

Short-term load forecasting (STLF) is crucial for the daily operation of power grids. However, the non-linearity, non-stationarity, and randomness characterizing electricity demand time series renders STLF a challenging task. Various forecasting approaches have been proposed for improving STLF, including neural network (NN) models which are trained using data from multiple electricity demand series that may not necessarily include the target series. In the present study, we investigate the performance of a special case of STLF, namely transfer learning (TL), by considering a set of 27 time series that represent the national day-ahead electricity demand of indicative European countries. We employ a popular and easy-to-implement feed-forward NN model and perform a clustering analysis to identify similar patterns among the load series and enhance TL. In this context, two different TL approaches, with and without the clustering step, are compiled and compared against each other as well as a typical NN training setup. Our results demonstrate that TL can outperform the conventional approach, especially when clustering techniques are considered.
Research on Malware Detection Technology for Mobile Terminals Based on API Call Sequence
Authors: Yao Ye , Zhu Yian , Jia Yao , Shi Xianchen , Zhang Lixiang , Zhong Dong , Duan Junhua
Published: December 2023

With the development of the Internet, the types and quantities of malware have grown rapidly, and how to identify unknown malware is becoming a new challenge. The traditional malware detection method based on fixed features is becoming more and more difficult. In order to improve detection accuracy and efficiency for mobile terminals, this paper proposed a malware detection method for mobile terminals based on application programming interface (API) call sequence, which was characterized by the API call sequence and used a series of feature preprocessing techniques to remove redundant processing of the API call sequence. Finally, the recurrent neural network method (RNN) was used to build the model and perform detection and verification. Furthermore, this paper constructed a malware detection model based on a two-way recurrent neural network and used the two-way long short-term memory network model (LSTM) to train the data set containing 5986 malware samples and 5065 benign software samples to obtain the final detection model and its parameters. Finally, the feature vector of the APK file to be detected was passed into the model and obtained the detection results. The experimental results indicated that the detection accuracy of this method can reach 93.68%.
Finite-Time Contraction Stability and Optimal Control for Mosquito Population Suppression Model
Authors: Zhang Lin , Guo Wenjuan
Published: December 2023

Releasing Wolbachia-infected mosquitoes into the wild to suppress wild mosquito populations is an effective method for mosquito control. This paper investigates the finite-time contraction stability and optimal control problem of a mosquito population suppression model with different release strategies. By taking into account the average duration of one reproductive cycle and the influences of environmental fluctuations on mosquitoes, we consider two cases: one with a time delay and another perturbed by stochastic noises. By employing Lyapunov’s method and comparison theorem, the finite-time contraction stabilities of these two cases under a constant release strategy are analyzed. Sufficient conditions dependent on delay and noise for these two systems are provided, respectively. These conditions are related to the prespecified bounds in finite-time stability (FTS) and finite-time contraction stability (FTCS) of the system, and FTCS required stronger conditions than FTS. This also suggests that the specified bounds and the delay (or the noise intensity) play a critical role in the FTCS analysis. And finally, the optimal control for the stochastic mosquito population model under proportional releases is researched.