bluuebunny/crossref_metadata_2025 huggingface dataset:
Dominant Morphotypes of Native Arbuscular Mycorrhizal Fungi from Coffee Plantations and Their Propagation with Trap Plants
Authors: Arias Mota Rosa María , de la Cruz Elizondo Yadeneyro , Ruelas Monjardín Laura Celina , Perea-Rojas Yamel del Carmen
Published: August 2024

Coffee cultivation facilitates foreign trade, which is important to the Mexican economy, particularly to the coffee growers of Jilotepec, Veracruz. However, in this region, the soil in which the coffee plants are grown is acidic and has low nutrient availability, making plants susceptible to pests and diseases. In this context, the use of mycorrhizal fungi has gained importance, due to the benefits that they provide in terms of the transport of nutrients and the development of plants, contributing to a reduction in the use of chemical fertilizers. This work aimed to determine the dominant Arbuscular mycorrhizal fungi (AMF) in the soil of coffee farms and evaluate the potential of sorghum as a trap plant for these organisms. As a result, ten morphotypes of AMF were detected in the coffee soil, with Glomus and Acaulospora being the dominant genera. It was found that their presence was related to the pH, clay, organic matter, and total carbon of the soil from the farms. The abundance of spores increased significantly (p < 0.05) between the initial count in the soil and the final count after propagation in the sorghum trap plants. The characteristic structures of mycorrhizal colonization and a high percentage of mycorrhizal colonization of the roots of the trap plants (Sorghum vulgare) were observed at 120 days after sowing. It is concluded that Glomus sp1, Glomus sp2, Glomus sp3, Glomus sp4, Rhizophagus clarus, and Acaulospora scrobiculata are the dominant morphotypes in the considered coffee plantation soils and that sorghum has high potential for favoring the propagation of native AMF through increasing their abundance and favoring high mycorrhizal colonization.
Towards Improved Turbomachinery Measurements: A Comprehensive Analysis of Gaussian Process Modeling for a Data-Driven Bayesian Hybrid Measurement Technique
Authors: Cruz Gonçalo G. , Ottavy Xavier , Fontaneto Fabrizio
Published: August 2024

A cost-effective solution to address the challenges posed by sensitive instrumentation in next-gen turbomachinery components is to reduce the number of measurement samples required to assess complex flows. This study investigates Gaussian Process (GP) modeling approaches within the framework of a data-driven hybrid measurement technique for turbomachinery applications. Three different modeling approaches—Baseline GP, CFD to Experiments GP, and Multi-Fidelity GP—are evaluated, and their performance in predicting mean flow characteristics and associated uncertainties on a low aspect ratio axial compressor stage, representative of the last stage of a high-pressure compressor, are focused on. The Baseline GP demonstrates robust accuracy, while the integration of CFD data in CFD into Experiments GP introduces complexities and more errors. The Multi-Fidelity GP, leveraging both CFD and experimental data, emerges as a promising solution, exhibiting enhanced accuracy in critical flow features. A sensitivity analysis underscores its stability and accuracy, even with reduced measurements. The Multi-Fidelity GP, therefore, stands as a reliable data fusion method for the proposed hybrid measurement technique, offering a potential reduction in instrumentation effort and testing times.
Role of Micronutrients in the Response to SARS-CoV-2 Infection in Pediatric Patients
Authors: García Alexis Hipólito , Crespo Francis Isamarg , Mayora Soriuska José , Martinez Wendy Yackeline , Belisario Inírida , Medina Christian , De Sanctis Juan Bautista
Published: August 2024

Nutrition is essential in developing and maintaining a robust immune system and is vital for immune homeostasis. The pediatric population is particularly vulnerable to dietary changes, as their growth and development require a high energy intake. Malnutrition in infants can have immediate and long-lasting effects, increasing the risk of morbidity and mortality. Under and overnutrition can slow down the immune response to infections, which can delay recovery. To effectively defend against SARS-CoV-2 infection and enhance viral clearance, it is essential to maintain a healthy diet that includes sufficient macro and micronutrients. Several studies, most of which have been performed in adults, have shown that vitamins such as C, B12, folate, D, and E, as well as the minerals selenium, copper, iron, zinc, and magnesium, can help reduce the symptoms and duration of an infection. Supplementation with micronutrients has been shown to help with childhood malnutrition and can contribute to a more favorable clinical course of COVID-19. In children with obesity, it is also essential to monitor cardiometabolic and thrombotic risks, based on data from studies in adults. This review analyses the impact of the nutritional status of pediatric patients with SARS-CoV-2 infection, its contribution to clinical severity, and potential therapeutic interventions.
Monitoring Mosquito Abundance: Comparing an Optical Sensor with a Trapping Method
Authors: Saha Topu , Genoud Adrien P. , Williams Gregory M. , Russell Gareth J. , Thomas Benjamin P.
Published: August 2024

Optical sensors have shown significant promise in offering additional data to track insect populations. This article presents a comparative study between abundance measurements obtained from a novel near-infrared optical sensor and physical traps. The optical instrument, named an Entomological Bistatic Optical Sensor System, or eBoss, is a non-destructive sensor operating in the near-infrared spectral range and designed to continuously monitor the population of flying insects. The research compares the mosquito aerial density (#/m3) obtained through the eBoss with trap counts from eight physical traps during an eight-month field study. The eBoss recorded over 302,000 insect sightings and assessed the aerial density of all airborne insects as well as male and female mosquitoes specifically with a resolution of one minute. This capability allows for monitoring population trends throughout the season as well as daily activity peaks. The results affirmed the correlation between the two methods. While optical instruments do not match traps in terms of taxonomic accuracy, the eBoss offered greater temporal resolution (one minute versus roughly three days) and statistical significance owing to its much larger sample size. These outcomes further indicate that entomological optical sensors can provide valuable complementary data to more common methods to monitor flying insect populations, such as mosquitoes or pollinators.
Chlorantraniliprole Enhances Cellular Immunity in Larvae of Spodoptera frugiperda (Smith) (Lepidoptera: Noctuidae)
Authors: Liu Qingyan , Deng Xiaoyue , Wang Liuhong , Xie Wenqi , Zhang Huilai , Li Qing , Yang Qunfang , Jiang Chunxian
Published: August 2024

The innate immunity of insects encompasses cellular and humoral defense mechanisms and constitutes the primary defense against invading microbial pathogens. Cellular immunity (phagocytosis, nodulation, and encapsulation) is primarily mediated by hemocytes. Plasmatocytes and granulocytes play an important role and require changes in the cytoskeletons of hemocytes. However, research investigating the immunological impacts of insecticides on the fall armyworm (FAW), Spodoptera frugiperda, remains scarce. Therefore, we conducted a study to investigate the effects of chlorantraniliprole exposure on cellular immunity in FAW larvae. Our findings revealed the presence of five types of hemocytes in the larvae: prohemocytes, plasmatocytes, granulocytes, oenocytoids, and spherulocytes. The LD10, LD20, and LD30 of chlorantraniliprole affected both the morphology and total count of some hemocytes in the larvae. Moreover, larvae exposed to chlorantraniliprole showed increased phagocytosis, nodulation, and encapsulation. To determine the mechanism of the enhanced cellular immunity, we studied plasmatocytes in the spread state and the cytoskeleton in hemocytes. It was found that the spreading ratio of plasmatocytes and the areas of the cytoskeletons in hemocytes were increased after chlorantraniliprole treatment. These results suggest that exposure to chlorantraniliprole results in an enhanced immune response function in FAW larvae, which may be mediated by cytoskeletal changes and plasmatocyte spreading. Consequently, this study provides valuable insights into the cellular immune response of FAW larvae to insecticide exposure.
Investigating the Added Value of Beck’s Depression Inventory in Atherosclerosis Prediction: Lessons from Paracelsus 10,000
Authors: Dienhart Christiane , Aigner Elmar , Iglseder Bernhard , Frey Vanessa , Gostner Isabella , Langthaler Patrick , Paulweber Bernhard , Trinka Eugen , Wernly Bernhard
Published: August 2024

Background: Depression is the most common mental illness worldwide and generates an enormous health and economic burden. Furthermore, it is known to be associated with an elevated risk of arteriosclerotic cardiovascular diseases (ASCVD), particularly stroke. However, it is not a factor reflected in many ASCVD risk models, including SCORE2. Thus, we analysed the relationship between depression, ASCVD and SCORE2 in our cohort. Methods: We analysed 9350 subjects from the Paracelsus 10,000 cohort, who underwent both a carotid artery ultrasound and completed a Beck Depression Inventory (BDI) screening. Patients were categorised binomially based on the BDI score. Atherosclerotic carotid plaque or absence was dichotomised for logistic regression modelling. Odds ratios and adjusted relative risks were calculated using Stata. Results: Subjects with an elevated BDI (≥14) had higher odds for carotid plaques compared to subjects with normal BDI, especially after adjusting for classical risk factors included in SCORE2 (1.21; 95%CI 1.03–1.43, p = 0.023). The adjusted relative risk for plaques was also increased (1.09; 95%CI 1.01–1.18, p = 0.021). Subgroup analysis showed an increased odds of plaques with increases in depressive symptoms, particularly in women and patients ≤55 yrs. Conclusions: In our cohort, the BDI score is associated with subclinical atherosclerosis beyond classical risk factors. Thus, depression might be an independent risk factor which may improve risk stratification if considered in ASCVD risk prediction models, such as SCORE2. Furthermore, reminding clinicians to take mental health into consideration to identify individuals at increased atherosclerosis risk may provide added opportunities to address measures which can reduce the risk of ASCVD.
IgA Nephropathy: Significance of IgA1-Containing Immune Complexes in Clinical Settings
Authors: Suzuki Hitoshi , Novak Jan
Published: August 2024

IgA nephropathy (IgAN) is considered to be an autoimmune disease characterized by the formation of IgA1-containing immune complexes in the circulation and glomerular immunodeposits. Extensive research has identified multiple genetic, immunological, and environmental factors contributing to disease development and progression. The pathogenesis of IgAN is considered a multifactorial process involving the formation of immune complexes wherein aberrantly O-glycosylated IgA1 is recognized as an autoantigen. Consequently, the clinical presentation of IgAN is highly variable, with a wide spectrum of manifestations ranging from isolated microscopic hematuria or episodic macroscopic hematuria to nephrotic-range proteinuria. Whereas some patients may exhibit a slowly progressive form of IgAN, others may present with a rapidly progressive glomerulonephritis leading to kidney failure. Development of the treatment for IgAN requires an understanding of the characteristics of the pathogenic IgA1-containing immune complexes that enter the glomerular mesangium and induce kidney injury. However, not all details of the mechanisms involved in the production of galactose-deficient IgA1 and immune-complex formation are fully understood. Here, we review what we have learned about the characteristics of nephritogenic IgA1 in the half-century since the first description of IgAN in 1968.
Correlation between Anterior Cruciate Ligament–Return to Sport after Injury Score at 6 Months after Anterior Cruciate Ligament Reconstruction and Mid-Term Functional Test Results: An Observational Study at 5-Year Follow-Up
Authors: Gerfroit Alexis , Marty-Diloy Thibault , Laboudie Pierre , Graveleau Nicolas , Bouguennec Nicolas
Published: August 2024

Background/Objectives: Evaluations allowing patients to return to sport (RTS) after anterior cruciate ligament reconstruction (ACLR) should be multimodal, including a psychological evaluation. The goal of this study was to determine if there is a correlation between the ACL–return to sport after injury (ACL-RSI) score at 6 months post-ACLR and mid-term functional results. Methods: A total of 498 patients were assessed 6 months after primary ACLR using a composite test including isokinetics, hops, and ACL-RSI. A minimum of 3 years of follow-up was necessary. At the last follow-up, each patient completed clinical and functional evaluations, including the subjective International Knee Documentation Committee (IKDC) score, Tegner Activity Scale, Self Knee Value (SKV), and ACL-RSI score. The results were compared overall and item by item. Results: At the last follow-up, the mean SKV, Tegner, IKDC, and ACL-RSI scores were 86.8 ± 14.3%, 6 ± 2.1, 77 ± 11.9%, and 68.8 ± 25.7%, respectively. A significant correlation existed between the 6-month ACL-RSI score and each functional test (respectively, ρ = 0.189 p < 0.001; ρ = 0.174 p < 0.001; ρ = 0.237 p < 0.001). The ACL-RSI score was significantly higher than at 6 months after surgery (p < 0.001). Over half (59.2%) of the cohort returned to an equal or greater level of activity, and there was a significant correlation between the 6-month ACL-RSI score and post-surgery level of activity. Conclusions: Patients with better ACL-RSI scores at 6 months post-ACLR have better functional results in the medium term and are more likely to RTS. Our results show a correlation between psychological factors at 6 months, measured through the ACL-RSI score, and activity level at mid-term follow-up. This study underlines the relationship between RTS and psychological effects, and the importance of ACLR rehabilitation to focus on decreasing apprehension and fear.
Correction: Alhuarrat et al. Comparison of In-Hospital Outcomes between Early and Late Catheter-Directed Thrombolysis in Acute Pulmonary Embolism: A Retrospective Observational Study. J. Clin. Med. 2024, 13, 1093
Authors: Alhuarrat Majd Al Deen , Barssoum Kirolos , Chowdhury Medhat , Mathai Sheetal Vasundara , Helft Miriam , Grushko Michael , Singh Prabhjot , Jneid Hani , Motiwala Afaq , Faillace Robert T. , Sokol Seth I.
Published: August 2024

Text correction explained [...]
Craniofacial Cephalometric Morphology in Polish Adolescents with Cleft Palate Only
Authors: Zawiślak Alicja , Wędrychowska-Szulc Barbara , Grocholewicz Katarzyna , Janiszewska-Olszowska Joanna
Published: August 2024

Background: Cephalometric studies indicate that craniofacial morphology in patients with cleft palate only (CPO) differs from other forms of orofacial clefts and healthy patients. Planning orthodontic treatment for patients with different craniofacial deformities requires knowledge on the craniofacial complex. The aim of the present study was to describe the cephalometric craniofacial morphology in adolescents with cleft palate only compared to generally healthy orthodontic patients. Methods: The study comprised 100 lateral cephalograms (taken in the years 2003–2020) of Polish patients with cleft palate only aged from 11.1 to 14.2 (mean age 12.43 y) and a matched control group of 100 children without orofacial clefts aged 12–14 (mean age 12.25). All digital images were analyzed in specialized cephalometric software. Results: Statistically significantly lower values of both SNA (p < 0.001) and ANB (p < 0.001) were found in the study group versus the control group. Mandibular line to cranial base angle (ML-NSL) as well as maxillary base to cranial base (NL-NSL) were significantly higher in the CPO group. Both the maxilla and mandible were rotated distally in CPO. Moreover, the intermaxillary vertical angle (ML-NL) was reduced in CPO. Mandibular angle in CPO was significantly higher (p = 0.005), reflecting posterior mandibular rotation. Conclusions: In adolescents with CPO, maxillary deficiency is found, without a severe sagittal jaw discrepancy, with a slight compensatory lingual inclination of the lower incisors. Mandibular deficiency in CPO is concurrent with posterior rotation and an increased mandibular angle.
Navigating the Unique Challenges of Caregiving for Children with Rare Diseases: Are the Care Experiences of All Caregivers the Same? A Focus on Life-Limiting Rare Diseases
Authors: Walkowiak Dariusz , Domaradzki Jan , Mozrzymas Renata , Kałużny Łukasz , Walkowiak Jarosław
Published: August 2024

Background: Caregiving experiences in rare diseases (RDs) vary based on factors such as specific clinical entity, disease severity, the child’s age, and available support and resources, leading to challenges that significantly impact caregivers’ lives. This study investigates whether caregivers of children with different RDs encounter varied aspects of care. Methods: This study was conducted as a self-administered, anonymous, computer-assisted online survey, focusing on the challenges of caregiving for children with RDs. Questions covered aspects such as information availability on RDs, diagnostic processes, modern treatment accessibility, family physicians and specialists, the impact of caregiving on personal life, family dynamics, and financial challenges. To achieve our study objectives, we categorized caregivers of children with RDs into two groups to compare various aspects of caregiving: caregivers of children with phenylketonuria (PKU) (n = 175) and those caring for children with life-limiting rare diseases (LLRD) (n = 226). Results: Caregivers of children with LLRD reported greater emotional challenges, personal sacrifices, and financial burdens compared to caregivers of children with PKU. Significant differences included heightened emotional distress, more frequent conflicts, and lower assessments of healthcare support among LLRD caregivers. Although family support ratings were similar between the groups, perceptions of financial concerns and interactions with the healthcare system varied significantly. Conclusions: This study, representing the inaugural systematic comparison of specific caregiver cohorts overseeing children with RDs across a substantial sample size, provides valuable insights. The findings lay a crucial foundation for precisely tailoring assistance and support initiatives to meet the unique needs of caregivers facing various RDs in diverse contexts.
Comparative Evaluation of Marginal Adaptation and Dimensional Stability of Three Bioceramic Root Repair Materials: A VP-SEM Analysis
Authors: Donfrancesco Orlando , Zanza Alessio , Reda Rodolfo , Testarelli Luca , Relucenti Michela , Seracchiani Marco
Published: August 2024

This study investigated the marginal adaptation of three recently introduced bioceramic root repair materials, EdgeBioCeramic RetroFill, Endocem MTA, and One-Fil PT, using VP-SEM analysis. Extracted single-rooted lower incisors were used to simulate retrograde fillings. The results showed no statistically significant differences in the marginal gap between the materials and the dentin walls. All three materials exhibited good dimensional stability, with gap sizes comparable to previously published research on similar materials. The mean GAP was 3.91 ± 2.56 for EdgeBioCeramic RetroFill, 4.32 ± 2.69 for Endocem MTA, and 4.50 ± 2.54 for One-Fil PT. This study employed VP-SEM, a valuable tool for analyzing bioceramic materials without altering their properties. The findings suggest the possibility of daily clinical use of these bioceramics by endodontists and general practitioners that could find applications in retrograde fillings and perforation repairs. However, further in vivo studies are needed to confirm long-term stability and assess the influence of sample preparation methods.
Equivalent Morphology Concept in Composite Materials Using Machine Learning and Genetic Algorithm Coupling
Authors: Beji Hamdi , Messager Tanguy , Kanit Toufik
Published: August 2024

The objective of this study is to investigate the synergistic integration of machine learning and evolutionary algorithms for the discovery of equivalent morphologies exhibiting analogous behavior within the domain of composite materials. To pursue this objective, two comprehensive databases are meticulously constructed. The first database encompasses randomly positioned inclusions characterized by varying volume fractions and contrast levels. Conversely, the second database comprises microstructures of diverse shapes, such as elliptical, square, and triangular, while maintaining consistent volume fraction and contrast values across samples. Label assignment for both databases is conducted using a finite-element-method-based computational tool, ensuring a standardized approach. Machine learning techniques are then applied, employing distinct methodologies tailored to the complexity of each database. Specifically, an artificial neural network ANN model is deployed for the first database due to its intricate parameter configurations, while an eXtreme Gradient Boosting XGBoost model is employed for the second database. Subsequently, these developed models are seamlessly integrated with a genetic algorithm, which operates to identify equivalent morphologies with nuanced variations in geometry, volume fraction, and contrast. In summation, the findings of this investigation exhibit notable levels of adaptation within the discovered equivalent morphologies, underscoring the efficacy of the integrated machine learning and evolutionary algorithm framework in facilitating the optimization of composite material design for desired behavioral outcomes.
Micrographite (μG) and Polypropylene (PP) Composites: Preparation and Influence of Filler Content on Property Modifications
Authors: Dharai Rabindra , Sutar Harekrushna , Murmu Rabiranjan , Roy Debashis
Published: August 2024

It is difficult to select low-cost filler materials. Specifically, carbon-based filling materials are a matter of concern, and developing a carbon-filled polymer composite with enhanced properties is necessary. In this study, the authors developed a polymer composite using virgin polypropylene (PP) as a matrix and affordable micrographite (µG) as a filler. The developed composite has many potential applications in the automotive, aerospace, and electronic industries. To prepare the test specimens, the composite was prepared using a twin-screw extruder containing 3, 6, 9, 12, or 15 wt.% µG powder (BET surface area ≈ 29 m2/g; particle size > 50 µm) followed by injection molding. Different mechanical properties like the tensile, flexural, and impact strengths were determined. The prepared composites were further characterized by means of XRD, TGA, DSC, FTIR, DMA, FESEM, and PLM tests. The results were analyzed and compared with those for PP. Improved tensile (up to ≈ 34 MPa) and flexural (up to ≈ 40 MPa) strength was observed with an increase in the µG content. However, the impact strength continuously decreased (maximum ≈ 32 J/m for PP) with fractures. These findings underscore that graphite plays a significant role in controlling the deformation behavior and ultimate strength of composites. An XRD analysis revealed that adding graphite restructured the crystalline arrangement of PP and altered the composite’s crystallographic properties. Nonetheless, no induction effect (β-phase formation) was observed. A moderate enhancement in the thermal stability was observed owing to a small increase in the melt (Tm), onset (Tonset), and residual (TR) temperatures. A microstructural analysis showed that the micrographite powder strongly prevented spherulite growth and modified the graphite powder’s rate of dispersion and agglomeration in a polymer matrix. The results show that graphite could be a viable low-cost alternative carbon-based filler material in polypropylene matrices.
Concrete Compressive Strength Prediction Using Combined Non-Destructive Methods: A Calibration Procedure Using Preexisting Conversion Models Based on Gaussian Process Regression
Authors: Angiulli Giovanni , Calcagno Salvatore , La Foresta Fabio , Versaci Mario
Published: August 2024

Non-destructive testing (NDT) techniques are crucial in making informed decisions about reconstructing or repairing building structures. The SonReb method, a combination of the rebound hammer (RH) and the ultrasonic pulse velocity (UPV) tests, is widely used for this purpose. To evaluate the compressive strength, CS, of the concrete under investigation, the ultrasonic pulse velocity Vp and the rebound index R must be mapped to the compressive strength CS using a suitable conversion model, the identification of which requires supplementing the NDT measurements with destructive-type measurements (DT) on a relatively large number of concrete cores. An approach notably indicated in all cases where the minimization of the number of cores is essential is to employ a pre-existing conversion model, i.e., a model derived from previous studies conducted in the literature, which must be appropriately calibrated. In this paper, we investigate the performance of Gaussian process regression (GPR) in calibrating the pre-existing SonReb conversion models, exploiting their ability to handle nonlinearity and uncertainties. The numerical results obtained using experimental data collected from the literature show that GPR calibration is very effective, outperforming, in most cases, the standard multiplicative and additive techniques used to calibrate the SonReb models.
Market Access Challenges and Solutions in Cell and Gene Therapy in The Netherlands
Authors: Velikanova Rimma , Wolters Sharon , Hofstra Hinko S. , Postma Maarten J. , Boersma Cornelis
Published: August 2024

With the increasing pipeline of cell and gene therapies (CGTs) and the expected surge in the number of approvals, understanding the market access landscape becomes crucial for timely patient access. This study evaluates the challenges Dutch stakeholders encounter in CGT market access, offering insights for improving time-to-patient access. A traditional literature review was conducted to identify market access challenges and solutions for CGTs. Based on the findings, participants for semi-structured interviews, designed using an interview guide adapted to the Dutch context, were selected to capture diverse perspectives on market access. This review included 124 relevant articles out of 2449, covering several aspects of market access of CGTs. Subsequently, interviews with 16 stakeholders from academia, patient advocacy groups, manufacturers, health insurers, payers, hospital pharmacists, healthcare practitioners, and the Association of Innovative Medicines were conducted. Stakeholders identified challenges and proposed solutions for reimbursement package management, clinical trials, health economics, payment models, and procedural and organisational aspects. Thematic analysis revealed unique country-specific challenges and solutions in the Netherlands. This research provides insights into these challenges and potential solutions, emphasising the need for collaborative efforts among stakeholders to develop practical and multidisciplinary measures to improve the market access landscape for CGTs in the country.
A New Cross-Domain Motor Fault Diagnosis Method Based on Bimodal Inputs
Authors: Shang Qianming , Jin Tianyao , Chen Mingsheng
Published: August 2024

Electric motors are indispensable electrical equipment in ships, with a wide range of applications. They can serve as auxiliary devices for propulsion, such as air compressors, anchor winches, and pumps, and are also used in propulsion systems; ensuring the safe and reliable operation of motors is crucial for ships. Existing deep learning methods typically target motors under a specific operating state and are susceptible to noise during feature extraction. To address these issues, this paper proposes a Resformer model based on bimodal input. First, vibration signals are transformed into time–frequency diagrams using continuous wavelet transform (CWT), and three-phase current signals are converted into Park vector modulus (PVM) signals through Park transformation. The time–frequency diagrams and PVM signals are then aligned in the time sequence to be used as bimodal input samples. The analysis of time–frequency images and PVM signals indicates that the same fault condition under different loads but at the same speed exhibits certain similarities. Therefore, data from the same fault condition under different loads but at the same speed are combined for cross-domain motor fault diagnosis. The proposed Resformer model combines the powerful spatial feature extraction capabilities of the Swin-t model with the excellent fine feature extraction and efficient training performance of the ResNet model. Experimental results show that the Resformer model can effectively diagnose cross-domain motor faults and maintains performance even under different noise conditions. Compared with single-modal models (VGG-11, ResNet, ResNeXt, and Swin-t), dual-modal models (MLP-Transformer and LSTM-Transformer), and other large models (Swin-s, Swin-b, and VGG-19), the Resformer model exhibits superior overall performance. This validates the method’s effectiveness and accuracy in the intelligent recognition of common cross-domain motor faults.
Anti-Poly(ethylene glycol) (PEG) Antibodies: From Where Are We Coming and Where Are We Going
Authors: Simberg Dmitri , Moghimi S. Moein
Published: August 2024

PEGylation technology confers stability and modulates the biological performance of a broad range of preclinical and clinical nanopharmaceuticals. However, the emerging PEG immunogenicity in the general population is thought to impact the efficacy and safety of PEGylated medicines. Despite this, the clinical significance of PEG immunogenicity is still not clear and remains debatable. By considering the strategic importance of the PEGylation technology in nanopharmaceutical engineering, we raise a number of critical questions and briefly discuss gaps in the knowledge of PEG immunogenicity and its clinical significance.
Incorporating Tissue-Specific Gene Expression Data to Improve Chemical–Disease Inference of in Silico Toxicogenomics Methods
Authors: Wang Shan-Shan , Wang Chia-Chi , Wang Chien-Lun , Lin Ying-Chi , Tung Chun-Wei
Published: August 2024

In silico toxicogenomics methods are resource- and time-efficient approaches for inferring chemical–protein–disease associations with potential mechanism information for exploring toxicological effects. However, current in silico toxicogenomics systems make inferences based on only chemical–protein interactions without considering tissue-specific gene/protein expressions. As a result, inferred diseases could be overpredicted with false positives. In this work, six tissue-specific expression datasets of genes and proteins were collected from the Expression Atlas. Genes were then categorized into high, medium, and low expression levels in a tissue- and dataset-specific manner. Subsequently, the tissue-specific expression datasets were incorporated into the chemical–protein–disease inference process of our ChemDIS system by filtering out relatively low-expressed genes. By incorporating tissue-specific gene/protein expression data, the enrichment rate for chemical–disease inference was largely improved with up to 62.26% improvement. A case study of melamine showed the ability of the proposed method to identify more specific disease terms that are consistent with the literature. A user-friendly user interface was implemented in the ChemDIS system. The methodology is expected to be useful for chemical–disease inference and can be implemented for other in silico toxicogenomics tools.
Prostate Cancer Screening in Young Men
Authors: De Vrieze Maxime , Al-Monajjed Rouvier , Boschheidgen Matthias , Albers Peter
Published: August 2024

Background: Prostate cancer (PCa) screening strategies are being developed and evaluated in several countries. However, most of the evidence regarding PCa screening has been generated in study populations aged 50 and older. Aims: This study summarizes findings of a screening trial in younger men and discuss those findings in the context of other screening trials. Methods: Non-systematic review. Results: Screening of 45-year-old men resulted in a low PCa detection rate. Nonetheless, almost 70% of screen-detected PCa at this age was clinically significant. In young men ISUP GG 1 screen-detected cancers warrant rigorous follow-up. A baseline, midlife prostate-specific antigen (PSA) value at age 45 may safely exclude the vast majority of men from further screening investigations for at least 5 years. At age 45, a confirmatory PSA value reduces the number of subsequent tests almost by half. Sequential magnetic resonance imaging (MRI) as a reflex test subsequent to an elevated PSA ≥ 3 ng/mL needs further investigation in young men. Conclusions: Screening in young men needs to be carefully investigated in order to avoid overscreening and overdiagnosis.
Business Model Innovation Factors of Small and Medium-Sized Enterprises in Bolivia
Authors: Arandia Arzabe Franco , Bengtsson Lars , Olivares Ugarte Jazmin Estefania
Published: August 2024

This paper aims to explore how four Bolivian small and medium-sized enterprises’ business has overcome the gaps in reliance on traditional small and medium-sized enterprises’ business models, i.e., to extract and sell raw unrefined natural resources in a local area, and instead make productive use of innovation inputs (technology, higher-educated people) by innovating their business models. We were particularly interested in how the small and medium-sized enterprises could manage to develop their business models in relation to the socio-cultural, economic, and technological contexts in a lower middle-income country such as Bolivia. We employ an exploratory multiple case study. The study’s results show that the four selected small and medium-sized enterprises’ business model innovation processes followed two different business model innovation patterns, a technology-driven pattern and market-driven pattern shaped by the macro-level factors of availability of natural resources, the informally organized economy, regulations, and access to higher education resources. The paper ends with presenting the managerial, policy, and theoretical implications of the study.
In Pursuit of Eye Tracking for Visual Landscape Assessments
Authors: Evans David , Chamberlain Brent
Published: August 2024

Visual quality and impact assessments have historically relied on experts to formally evaluate the visual properties of a landscape. In contrast, environmental psychologists have studied subjective landscape preferences using ratings and surveys. These two approaches represent, respectively, the “objectivist” and “subjectivist” paradigms within visual landscape research. A gap, however, exists between these approaches: actual observation behaviors. In this paper, we argue for the inclusion of eye-tracking research in visual landscape assessments as a critical bridge between objective landscape qualities and subjective visual experiences. We describe the basics of eye-tracking methods and data types to introduce the role of eye movements in landscape preference formation. Three-dimensional immersive virtual environments are particularly useful for collecting these types of data, as they allow for quantification of the viewed environment’s spatial and scene metrics in addition to providing eye-tracking capabilities at sufficient resolutions. These environmental and behavioral data can then be consolidated and analyzed within existing GIS platforms to draw conclusions about environmental influences on observation behaviors. While eye tracking may eventually contribute directly to the practice of visual quality or impact assessments, the near-term benefits of this work will most likely center around contributing to the objectivity and defensibility of assessments through validation and methodological recommendations.
Evolution of the Beach–Dune Systems in Mediterranean Andalusia (Spain) Using Two Different Proxies
Authors: Molina Rosa , Anfuso Giorgio , González-Aguilar Belén , Manno Giorgio , Cooper J. Andrew G.
Published: August 2024

Coastal environments are complex systems that are influenced by a combination of natural processes and human activities. Scientific interest in the effects of coastal erosion/accretion and climatic change-related processes has greatly increased in recent decades due to the growing human development along coastal areas. This paper investigates the state and evolution of beach–dune systems for the 1977–2001 and 2001–2019 periods of the Mediterranean coast of Andalusia (Spain) using two different proxies: the dune toe line, which was used to track foredunes evolution, and the high-water line, which was used to assess shoreline evolution. Results showed a general erosional behavior of the studied beach–dune systems and identified cases where the main trend was altered through human interventions. During the 1977–2001 period, foredunes essentially showed erosion (54%), accretion (24%), and stability (22%) and shorelines showed accretion (40%) and erosion and stability (34% each). During the 2001–2019 period, foredunes essentially showed erosion (42%), stability (30%), and accretion (28%), and shorelines showed erosion (40%), accretion (34%), and stability (26%). Combining the evolution classes of each proxy (dune toe/shoreline) allows the behavior of both shoreline proxies to be assessed together and provides insights additional to those derived from the use of a single proxy. In this regard, Erosion/erosion (EE) and Accretion/accretion (AA) were the most frequent behaviors in the first and second periods. The results obtained provide additional insights on the nature and drivers of coastal change that aid local coastal managers and administrations in understanding erosion processes. The method can be applied to other areas around the world where a similar database is available.
Characteristics of Changes in Livestock Numbers and Densities in the Selinco Region of the Qinghai–Tibetan Plateau from 1990 to 2020
Authors: Xi Guilin , Ma Changhui , Ji Fangkun , Huang Hongxin , Xie Yaowen
Published: August 2024

A thorough understanding of the development process of grazing activities and an elucidation of their complex mechanisms are crucial for the formulation and adjustment of livestock management policies. In the Selinco region of the Qinghai–Tibet Plateau, we conducted a comprehensive analysis of year-end livestock numbers and densities over the past 30 years. The results indicate a gradual decline in overall livestock numbers in the Selinco region during this period, with a notable decrease between 2004 and 2014, followed by stabilization. Notably, the number of yaks has significantly increased, whereas the numbers of sheep, goats, and horses have markedly decreased. Regarding livestock density, there is a spatial pattern of decrease from northwest to southeast, with the density order being Seni District > Bange County > Anduo County > Shenzha County > Nima County > Shuanghu County. Between 2004 and 2014, most counties experienced a significant decline in livestock density, exhibiting a trough–peak pattern. However, after 2014, a complex spatiotemporal dynamic emerged. Concerning driving factors, from 1990 to 2004, rural population and economic development were the primary influences on livestock density. After 2004, forage–livestock balance management policies, snowstorms, and fluctuations in livestock prices likely became the main influencing factors. Further detailed analysis of these factors is essential for developing more effective management strategies.
Comparative Effects of Fatiguing Exercise on Anticipatory and Compensatory Postural Adjustments between Trained and Untrained Individuals
Authors: Lyu Hui , Cao Xueying , Wang Jian
Published: August 2024

This study evaluates the effects of general fatiguing exercises on anticipatory postural adjustments (APAs), compensatory postural adjustments (CPAs), and standing stability between 18 individuals with comprehensive training experience (TR) and 18 untrained individuals (UT). Assessments were conducted before and after a 20-min fatiguing exercise using surface electromyography and a force platform during self-initiated perturbation and postural stability tests. Key findings include that, irrespective of fatigue, the APAs onsets in the TrA/IO (p = 0.004), LMF (PRE p = 0.003, POST p < 0.001), and ST (PRE p = 0.001, POST p = 0.006) muscles activated earlier in the TR group than in the UT group. Additionally, the APA co-contraction indices of the TrA/IO-LMF (PRE p = 0.011, POST p = 0.029), TrA/IO-ST (p = 0.014), and LMF-ST (PRE p = 0.002, POST p = 0.005) muscle pairs were higher in the TR group. After fatigue, the UT group significantly increased CPA co-contraction indices for the TrA/IO-LMF (p = 0.035) and LMF-ST (p = 0.005) muscle pairs. This research highlights the importance of comprehensive training in facilitating feedforward control strategies, particularly for individuals facing challenging postural conditions, such as fatigue or disturbances.
New Perspectives about Relevant Natural Compounds for Current Dentistry Research
Authors: Dinu Stefania , Dumitrel Stefania-Irina , Buzatu Roxana , Dinu Dorin , Popovici Ramona , Szuhanek Camelia , Matichescu Anamaria
Published: August 2024

Natural compounds have been used since the earliest civilizations and remain, to this day, a safer alternative for treating various dental problems. These present antimicrobial, anti-inflammatory, antioxidant, analgesic, and antimutagenic effects, making them useful in the prophylactic and curative treatment of various oral diseases such as infections, gingivitis, periodontitis, and even cancer. Due to the high incidence of unpleasant adverse reactions to synthetic compounds, natural products tend to gradually replace conventional treatment, as they can be just as potent and cause fewer, milder adverse effects. Researchers use several methods to measure the effectiveness and safety profile of these compounds, and employing standard techniques also contributes to progress across all medical disciplines.
Visualising Carrier Consolidation and Alternative Delivery Locations: A Digital Model of Last-Mile Delivery in England and Wales
Authors: Schnieder Maren
Published: August 2024

Background: Various innovations have been proposed to improve the efficiency and sustainability of last-mile delivery in urban and rural environments. Notable examples of innovative delivery solutions are parcel lockers, cargo bicycles, crowdsourced delivery, and so on. Methods: This study contributes to the ongoing research by developing a large-scale digital model of England and Wales to evaluate a new generation of solutions for last-mile delivery challenges being faced in both rural areas and cities. The two innovations chosen for comparison in this study are (i) carrier consolidation and (ii) alternative delivery locations (i.e., delivery to the workplace instead of the home). As well as the effect on any individual locations, the digital model evaluates both the benefits for England and Wales as a whole. Furthermore, the influence of the market share on the results, as well as the effect of changing the number of depots, is assessed. Results: By delivering to the customer’s workplace instead of the home, the vehicle kilometres travelled (VKT) reduce slightly (less than 10%). Carrier consolidation shows significant potential in reducing the overall VKT (up to 53%). When looking at individual areas in isolation, the consolidation option reduces the VKT or changes it up and down all within tolerance. Naturally, the first option causes a significant shift in delivery activity across England and Wales. Areas of central London would see in-excess of a 10-fold increase in the number of parcels delivered, whereas the demand for parcels in rural areas is further, and significantly reduced. Conclusions: This study highlights the importance of large-scale and detailed digital models that not only calculate the overall benefits of an innovation but also their effect on each individual area.
3a-(4-Chlorophenyl)-1-thioxo-2,3,3a,4-tetrahydroimidazo[1,5-a]quinazolin-5(1H)-one
Authors: Defant Andrea , Innocenti Nicole , Mancini Ines
Published: August 2024

With the aim of producing new heterocycle molecules, the previously reported 2-(aminomethyl)-2-(4-chlorophenyl)-2,3-dihydroquinazolin-4(1H)-one was converted efficiently by reacting with N,N′-dithiocarbonyldiimidazole (DTCI) to produce the substituted imidazolidine-2-thione moiety inserted in a three-fused-ring scaffold of the title compound. The molecular composition was confirmed by a high-resolution MS experiment, and its structure was elucidated by 1H, 13CNMR, and IR analyses. The thioacetamide form of the product was supported by density functional theory (DFT)–NMR analysis where 13C chemical shifts of the thioacetamide form and of its iminothiol tautomer were calculated in chloroform at the BP86/Jgauss-TZP2 level of theory. The very strong linear correlation between 13C chemical shifts from experimental findings and by calculation for the NHC=S form confirmed the structure.
(E)-1-(2,5-Dimethylphenyl)-3-phenylprop-2-en-1-one
Authors: Cordes David B. , Smellie Iain A. , Chalmers Brian A.
Published: August 2024

X-ray crystallography has been used to characterize the title compound for the first time; 1H NMR, 13C NMR and IR spectroscopic data have also been updated from earlier reports. We also report the melting point of the title compound.
FGD-Gypsum Waste to Capture CO2 and to Recycle in Building Materials: Optimal Reaction Yield and Preliminary Mechanical Properties
Authors: Moreno Virginia , González-Arias Judith , Ruiz-Martinez Jaime D. , Balart-Gimeno Rafael , Baena-Moreno Francisco Manuel , Leiva Carlos
Published: August 2024

The use of waste to capture CO2 has been on the rise, to reduce costs and to improve the environmental footprint. Here, a flue gas desulfurization (FGD) gypsum waste is proposed, which allows us to obtain a CaCO3-based solid, which should be recycled. The CO2 capture stage has primarily been carried out via the direct carbonation method or at high temperature. However, a high energy penalty and/or long reaction times make it unattractive from an industrial perspective. To avoid this, herein an indirect method is proposed, based on first capturing the CO2 with NaOH and later using an aqueous carbonation stage. This allows us to capture CO2 at a near-ambient temperature, improving reaction times and avoiding the energy penalty. The parameters studied were Ca2+/CO32− ratio, L/S ratio and temperature. Each of them has been optimized, with 1.25, 100 mL/g and 25 °C being the optimal values, respectively, reaching an efficiency of 72.52%. Furthermore, the utilization of the produced CaCO3 as a building material has been analyzed. The density, superficial hardness and the compressive strength of a material composed of 10 wt% of CaCO3 and 90 wt% of commercial gypsum, with a water/solid ratio of 0.5, is measured. When the waste is added, the density and the mechanical properties decreased, although the compressive strength and superficial hardness are higher than the requirements for gypsum panels. Thus, this work is promising for the carbonation of FGD-gypsum, which involves its chemical transformation into calcium carbonate through reacting it with the CO2 of flue gasses and recycling the generated wastes in construction materials.