bluuebunny/crossref_metadata_2025 huggingface dataset:
On the Application of a Sparse Data Observers (SDOs) Outlier Detection Algorithm to Mitigate Poisoning Attacks in UltraWideBand (UWB) Line-of-Sight (LOS)/Non-Line-of-Sight (NLOS) Classification
Authors: Baldini Gianmarco
Published: February 2025

The classification of the wireless propagation channel between Line-of-Sight (LOS) or Non-Line-of-Sight (NLOS) is useful in the operation of wireless communication systems. The research community has increasingly investigated the application of machine learning (ML) to LOS/NLOS classification and this paper is part of this trend, but not all the different aspects of ML have been analyzed. In the general ML domain, poisoning and adversarial attacks and the related mitigation techniques are an active area of research. Such attacks aim to hamper the ML classification process by poisoning the data set. Mitigation techniques are designed to counter this threat using different approaches. Poisoning attacks in LOS/NLOS classification have not received significant attention by the wireless communication community and this paper aims to address this gap by proposing the application of a specific mitigation technique based on outlier detection algorithms. The rationale is that poisoned samples can be identified as outliers from legitimate samples. In particular, the study described in this paper proposes a recent outlier detection algorithm, which has low computing complexity: the sparse data observers (SDOs) algorithm. The study proposes a comprehensive analysis of both conventional and novel types of attacks and related mitigation techniques based on outlier detection algorithms for UltraWideBand (UWB) channel classification. The proposed techniques are applied to two data sets: the public eWINE data set with seven different UWB LOS/NLOS different environments and a radar data set with the LOS/NLOS condition. The results show that the SDO algorithm outperforms other outlier detection algorithms for attack detection like the isolation forest (iForest) algorithm and the one-class support vector machine (OCSVM) in most of the scenarios and attacks, and it is quite competitive in the task of increasing the UWB LOS/NLOS classification accuracy through sanitation in comparison to the poisoned model.
Lipids in Clinical Nutrition and Health: Narrative Review and Dietary Recommendations
Authors: Frydrych Adrian , Kulita Kamil , Jurowski Kamil , Piekoszewski Wojciech
Published: February 2025

Lipids are essential components of human health, serving as critical structural elements of cell membranes, energy sources, and precursors for bioactive molecules. This narrative review aims to examine the multifaceted roles of lipids in clinical nutrition and health, focusing on their impact on chronic disease prevention, management, and the potential of lipid-based therapies. A narrative review was conducted utilizing Scopus, Google Scholar, and Web of Science databases. Key terms such as lipids, dietary fats, and cholesterol were used to identify and analyze relevant studies. A total of 145 articles meeting inclusion criteria were reviewed for their insights into lipid metabolism, dietary sources, and clinical implications. The analysis highlighted the metabolic significance of various lipid classes—saturated, monounsaturated, and polyunsaturated fatty acids—along with evidence-based recommendations for their dietary intake. Lipids were shown to play a pivotal role in managing chronic diseases such as cardiovascular disease, obesity, and metabolic syndrome. Emerging therapies, including omega-3 fatty acids and medium-chain triglycerides, demonstrated potential benefits in clinical practice. By synthesizing current knowledge, this narrative review provides healthcare professionals with an updated understanding of the roles of lipids in clinical nutrition. The findings emphasize the importance of tailored dietary interventions and lipid-based therapies in optimizing health and managing chronic diseases effectively. Additionally, this review successfully presents practical dietary recommendations to guide clinical practice.
Effect of Diet on CPFAs Used as Markers in Milk for the Detection of Silage in the Ration of Dairy Cows
Authors: Fava Federico , Martini-Lösch Demian , Peratoner Giovanni , Robatscher Peter , Matteazzi Aldo , Soini Evelyn , Österreicher Andreas , Volgger Simon , de Andrade Moral Rafael , Scampicchio Matteo Mario , Eisenstecken Daniela , Venir Elena
Published: February 2025

In hay milk production, fermented feed, like silage, is forbidden. This study aims to reveal the presence of silages made from maize or grass in the diet of dairy cows through the detection of cyclopropane fatty acids (CPFAs) in their milk. It also investigates how CPFAs in their milk declines when the diets of the cows are transitioned from one containing silage to one that does not include silage. CPFAs were quantified in silages collected on the farm, and the relationship between the dietary intake of CPFAs from silages and the marker concentration in milk was investigated. Except for one sample (below LOQ), CPFAs were never detected in hay milk, while they were found in 98% and 85% of milk samples obtained from cows whose diet included maize or grass silage as the only fermented component, respectively. CPFAs were found to still be detectable in milk 56 days after the removal of maize silage from the diet, while they were no longer detectable about three weeks after removing grass silage from the ration. A quantitative positive relationship was detected between CPFAs content in the milk and the dietary intake of CPFAs from silages. CPFAs can be regarded as reliable markers to detect the occurrence of silages in the ration, but it is more effective for maize than for grass silage.
Development and Evaluation of Gelatin-Based Gummy Jellies Enriched with Oregano Oil: Impact on Functional Properties and Controlled Release
Authors: Ganea Mariana , Georgiana Ioana Potra Cicalau , Ghitea Timea Claudia , Ștefan Liana , Groza Florina , Frent Olimpia Daniela , Nagy Csaba , Iova Claudiu Sorin , Schwarz-Madar Andrada Florina , Ciavoi Gabriela , Vicas Laura Gratiela , Constanta Pelea Diana , Moisa Corina
Published: February 2025

Functional foods play a crucial role in contemporary dietary strategies. This study investigates the incorporation of oregano oil, a bioactive extract that is known for its antimicrobial and antioxidant properties, into gelatin-based gummy jellies to develop functional food products with controlled release properties. The jellies were evaluated for mass uniformity, swelling index, disintegration time, and tensile strength under simulated oral and gastric conditions. The results showed that oregano oil significantly reduced the swelling index (e.g., 128.76 ± 0.67% at pH 5) and prolonged the disintegration time (e.g., 6–18 min across pH environments), highlighting its potential for controlled release. The mechanical strength remained stable (5.2 ± 0.3 N), ensuring structural integrity. These findings suggest that oregano-oil-enriched gummy jellies offer health benefits, although further studies are needed to explore their long-term stability and bioavailability.
A Functional Flatbread (Bazlama): High in Beta-Glucan and Plant-Based Protein Content
Authors: Beyaz Seda , Cetiner Buket , Ozkan Kubra , Sagdic Osman , Sestili Francesco , Koksel Hamit
Published: February 2025

This study focused on developing a functional bazlama with a lower glycemic index (GI) that is high in β-glucan and rich in plant-based protein. Functional bazlama samples were produced by supplementing bread wheat flour with high β-glucan content hull-less barley flour and high protein content lentil flour (15%, 30%, and 45%). Additionally, mixed bazlama samples (Mix1, Mix2, Mix3, and Mix4) were produced by supplementing them with both barley and lentil flours. The results showed that 3 g of β-glucan could be provided from the bazlama sample and supplemented with 45% barley flour, which meets the threshold to carry health claims. Supplementing with 30% and 45% lentil flour increased the protein content of the bazlama samples to a level qualifying them as a “high protein”. The control bazlama had a high GI, while samples supplemented with 30% and 45% barley or lentil flour and all mixed bazlama samples had medium GI values, and Mix2 had the lowest GI value among all bazlama samples. Also, as the supplementation levels of barley and lentil flour increased, the phenolic contents and antioxidant capacities of the bazlama samples increased. The results of the present study indicate that barley and lentils can be used as an ingredient in traditional flatbreads to obtain products with better functional and nutritional properties.
Geographical Origin Traceability of Navel Oranges Based on Near-Infrared Spectroscopy Combined with Deep Learning
Authors: Li Yue , Ren Zhong , Zhao Chunyan , Liang Gaoqiang
Published: February 2025

The quality and price of navel oranges vary depending on their geographical origin, thus providing a financial incentive for origin fraud. To prevent this phenomenon, it is necessary to explore a fast, non-destructive, and precise method for tracing the origin of navel oranges. In this study, a total of 490 Newhall navel oranges were selected from five major production regions in China, and the diffuse reflectance near-infrared spectrum in 4000–10,000 cm−1 were non-invasively collected. We examined seven preprocessing techniques for the spectra, including Savitzky–Golay (SG) smoothing, first derivative (FD), multiplicative scattering correction (MSC), combinations of SG with MSC (SG+MSC), SG with FD (SG+FD), MSC with FD (MSC+FD), and three combined (SG+MSC+FD). A one-dimensional convolutional neural network (1DCNN) deep learning model for geographical origin tracing of navel orange was established, and five machine learning algorithms, i.e., partial least squares discriminant analysis (PLS-DA), linear discriminant analysis (LDA), support vector machine (SVM), random forest (RF), and back-propagation neural network (BPNN), were compared with 1DCNN. The results show that the 1DCNN model based on the SG+FD preprocessing method achieved the optimal performance for the testing set, with prediction accuracy, precision, recall, and F1-score of 97.92%, 98%, 97.95%, and 97.90%, respectively. Therefore, NIRS combined with deep learning has a significant research and application value in the rapid, nondestructive, and accurate geographical origin traceability of agricultural products.
Cytotoxicity and Genome Characteristics of an Emetic Toxin-Producing Bacillus cereus Group sp. Isolated from Raw Milk
Authors: Pheepakpraw Jintana , Sinchao Chanita , Sutheeworapong Sawannee , Sattayawat Pachara , Panya Aussara , Tragoolpua Yingmanee , Chitov Thararat
Published: February 2025

The Bacillus cereus group frequently contaminates milk and dairy products. Some members of this group can produce the heat-stable pre-formed toxin cereulide, which causes emetic foodborne intoxication. This study characterised emetic B. cereus group isolates from raw cow’s milk in the biochemical, genetic, and toxigenic aspects. Of the 158 B. cereus group isolates derived from 99 raw milk samples, 7 (4.43%) harboured cereulide synthetase A (cesA), which encodes a cereulide synthetase associated with the emetic phenotype. Heat-treated culture filtrates from the cesA-positive isolates demonstrated cytotoxicity to HepG2 and Caco-2 cells, resulting in cell viabilities of 32.22–36.57% and 44.41–47.08%, respectively. The cytotoxicity levels were comparable to those of the reference emetic strain, F4810/72 (alternately termed AH187). Genome analysis of a representative isolate, CSB98, revealed the complete ces gene cluster with additional virulence factors such as non-haemolytic enterotoxin, haemolysins and phospholipases, suggesting that the isolate could be both emetic and diarrhoeagenic. CSB98 exhibited a closer relationship to the type strain of B. paranthracis than to that of B. cereus sensu stricto (ATCC 14579). The genomes of CSB98 and AH187 were indistinguishable through OrthoANI analysis, but 13 variants were identified via SNP calling. These results affirm genetic conservation among the emetic traits.
Enhancement of the Seed Color, Antioxidant Properties, and Agronomic Traits of Colored Wheat via Gamma Radiation Mutagenesis
Authors: Hong Min Jeong , Ko Chan Seop , Kim Jin-Baek , Kim Dae Yeon
Published: February 2025

Wheat, a staple crop cultivated for over 8000 years, sustains more than 2.5 billion people globally, as a major source of carbohydrate, protein, fiber, and essential nutrients. Colored wheat, enriched with dietary fiber and antioxidants, offers valuable genetic resources for developing functional wheat varieties. Herein, a mutant pool of 1069 colored wheat lines was developed through gamma-ray irradiation to enhance genetic diversity. Mutant lines were classified into 10 groups based on seed color parameters (L*, a*, and b*), which were measured using the Hunter Lab system. K-means clustering categorized the mutant lines, and four representative lines from each group were analyzed for agronomic traits (plant height, spike length, thousand-seed weight, and kernels per spike) and antioxidant properties (radical-scavenging activity, ferric reducing antioxidant power, and total antioxidant capacity). Principal-component analysis revealed distinct clustering patterns, indicating associations between seed color, agronomic traits, and antioxidant activity. Darker seed color groups exhibited 3–16% higher levels of bioactive compounds and 10–18% higher antioxidant activities, whereas lighter groups showed 8–42% lower functional potential compared to the control wheat. These findings highlight the potential of mutation breeding in generating phenotypic diversity and developing wheat varieties with improved functional traits and bioactive compound content.
A Model of k-Winners
Authors: Canales Diego Armando
Published: February 2025

The concept of the Condorcet winner has become central to most electoral models in the political economy literature. A Condorcet winner is the alternative preferred by a plurality in every pairwise competition; the notion of a k-winner generalizes that of a Condorcet winner. The k-winner is the unique alternative top-ranked by the plurality in every competition comprising exactly k alternatives (including itself). This study uses a spatial voting setting to characterize this theoretical concept, showing that if a k-winner exists for some k>2, then the same alternative must be the k′-winner for every k′>k. We derive additional results, including sufficient and necessary conditions for the existence of a k-winner for some k>2.
Plant-Derived B-CGT Hydrogel Accelerates Diabetic Wound Healing Through Multitarget Modulation of Inflammation, Angiogenesis, and Tissue Remodeling
Authors: Ran Fei , Mu Kailang , Zhou Lingli , Peng Leqiang , Liu Gang , Liu Yuchen , Pang Yuxin , Feng Guo , Guo Changmao , Wang Tianjian , Luo Qiumei
Published: February 2025

Diabetic wound healing presents significant challenges due to impaired angiogenesis, chronic inflammation, and cellular dysfunction. Building on previous research, this study further explores the potential of a plant-derived glucosyloxybenzyl 2-isobutylmalates (B-CGT) hydrogel in promoting diabetic wound healing. Network pharmacology and molecular docking analyses suggest that B-CGT may regulate key mechanisms, such as apoptosis, inflammation, and matrix remodeling, through core targets including SIRT1, CASP8, and MMP8. In vivo studies further demonstrated that B-CGT hydrogel significantly accelerated wound closure in diabetic mice, enhanced angiogenesis, promoted collagen deposition, and achieved immune balance by modulating macrophage polarization, thereby shifting the inflammatory environment toward a repair state. Moreover, B-CGT hydrogel significantly improved the wound microenvironment by upregulating VEGF expression and exerting antioxidant effects. By combining theoretical predictions with experimental validation, this study elucidates the multi-target synergistic regulatory mechanisms of B-CGT hydrogel. These findings provide new research directions for addressing immune imbalance and angiogenesis defects in diabetic wound healing and lay a scientific foundation for the optimization and application of chronic wound treatment strategies.
Analysis of the Codon Usage Bias Pattern in the Chloroplast Genomes of Chloranthus Species (Chloranthaceae)
Authors: Zhang Jisi , Feng Miao
Published: February 2025

Background: The codon preference of chloroplast genomes not only reflects mutation patterns during the evolutionary processes of species but also significantly affects the efficiency of gene expression. This characteristic holds significant scientific importance in the application of chloroplast genetic engineering and the genetic improvement of species. Chloranthus, an ancestral angiosperm with significant economic, medicinal, and ornamental value, belongs to the basal angiosperms. However, the codon usage patterns among Chloranthus species have remained unclear. Methods: To investigate codon usage bias and its influencing factors in Chloranthus chloroplast genomes, we utilized CodonW, CUSP, and SPSS software to analyze the chloroplast genomes of seven Chloranthus species. Results: In this study, we reported and characterized the complete chloroplast genome of the Chinese endemic species Chloranthus angustifolius. The phylogenetic tree based on the whole chloroplast genomes showed that C. angustifolius is sister to Chloranthus fortunei, and the genus Chloranthus is divided into two major clades, consistent with previous studies. Our results revealed that the GC content at different codon positions across all seven Chloranthus species was less than 50%, with GC1 > GC2 > GC3. Additionally, the average effective number of codons (ENC) values exceeded 45. A total of 10 shared optimal codons were identified, nine of which end with A or U. PR2-plot, ENC-plot, and neutrality plot analyses indicated that natural selection primarily influenced codon usage bias in the chloroplast genomes of Chloranthus. Conclusions: We newly obtained the chloroplast genome of C. angustifolius and proposed that natural selection played a key role in codon usage patterns in Chloranthus species. These findings contribute to our understanding of evolutionary history and genetic diversity within this genus.
The p12 Subunit Choreographs the Regulation and Functions of Two Forms of DNA Polymerase δ in Mammalian Cells
Authors: Xu Dazhong , Ayyamperumal Selvaraj , Zhang Sufang , Chen Jinjin , Lee Ernest Y. C. , Lee Marietta Y. W. T.
Published: February 2025

There are two forms of DNA polymerase δ in human cells, Pol δ4 and Pol δ3, which differ based on their possession of the p12 subunit. The degradation of p12 has emerged as an important regulatory mechanism that controls the generation of Pol δ3. The underlying importance of this system lies in the altered enzymatic properties of the two forms of Pol δ engendered by the influence of p12. We briefly review how the balance of these two forms is regulated through the degradation of p12. We focus on the roles of Pol δ4, whose cellular functions are less well known. This is significant because recent studies show that this is the form engaged in the homology-dependent repair of double-strand breaks. We consider new horizons for future research into this system and their potential involvement in tumorigenesis.
Fluctuating Genetic Influences at Three Different Stages of Development of Dental Arches: A Complex System
Authors: Hughes Toby , Mahmood Zuliani , Giri Jamal , Townsend Grant , Brook Alan Henry
Published: February 2025

Background/Objectives: The development of dental arches is a complex adaptive system with interactions between genetic and environmental factors. At different developmental stages, the relative contribution of these factors varies. The aims of this project were to identify the longitudinal changes of dental arches in the primary, mixed and permanent dentition stages, using curve fitting methods on serial dental casts, and to investigate the contribution of the genotype to dental arch development. Methods: Longitudinal dental records from 125 monozygotic same-sex twin pairs, 89 dizygotic same-sex twin pairs, and 49 opposite-sex dizygotic twin pairs were used. Standardized model photographs were collected, and key landmarks were digitized. Fourth-order orthogonal polynomials were applied to the Cartesian data. Descriptive statistics were calculated, and structural equation models were developed to analyze the individual polynomial coefficients. The final models employed a genetic simplex framework, enabling the evaluation of how genetic and environmental influences changed over time. These changes were examined both quantitatively (e.g., variations in heritability) and qualitatively (e.g., the influence of different genes at various stages). Results: In the primary dentition, arches were typically parabolic, while in the permanent dentition, they tended to be more square-shaped. Asymmetry made a minor contribution to variation across all stages of development. Genetic analysis revealed that a core group of genes influenced arch shape over time, though their impact varied. Additionally, some genes were specific to certain developmental stages, with their relative contributions differing significantly. Notably, there was evidence of sexual heterogeneity in arch shape, particularly in the permanent dentition. Heritability was consistently high, both at individual developmental stages and throughout the overall developmental process. Conclusions: The degree of genetic influence at each developmental stage was substantial but it fluctuated between the primary, mixed, and permanent dentition stages.
Geochemistry and Petrogenesis of Permo–Triassic Silicic Volcanic Rocks from the Circum-Rhodope Belt in the Vardar/Axios Zone, Northern Greece: An Example of a Post-Collision Extensional Tectonic Setting in the Tethyan Realm
Authors: Asvesta Argyro
Published: February 2025

The western side of the Vertiskos Unit crystalline basement in northern Greece is fringed by a Permo–Triassic low-grade metamorphic volcano-sedimentary complex that belongs to the Circum-Rhodope Belt (CRB), which is an important part of the Vardar/ Axios oceanic suture zone. The silicic volcanic rocks from the CRB are mainly rhyolitic to rhyodacitic lavas with aphyric and porphyritic textures as well as pyroclastic deposits. In this study, geochemical data obtained with X-ray fluorescence (XRF) for the CRB silicic volcanic rocks are reported and discussed to constrain their petrogenesis and tectonic setting. The rocks are peraluminous and show enrichment in K, Rb, Th, Zr, Y, and Pb while being depleted in Ba, Sr, Nb, P, and Ti, and they have Zr + Nb + Y + Ce > 350 ppm, which are characteristic features of anorogenic A-type granites. They have a Y/Nb ratio > 1.2 and belong to A2-subtype granitoids, implying crust-derived magma in a post-collisional tectonic setting. The high Rb/Sr ratio (3.45–39.14), the low molar CaO/(MgO + FeOt) ratio, and the CaO/Na2O ratio (<0.5), which they display, indicate that metapelites are the magma sources. Their low Al2O3/TiO2 ratio (<100), consistent with their high zircon saturation temperatures (average TZr = 886 °C), and their low Pb/Ba ratio (average 0.06) reveal that they were generated by biotite dehydration melting. The increased Rb/Sr ratio relative to that of presumable parental metapelites of the Vertiskos Unit, coupled with their low Sr/Y ratio (0.12–1.08), reflects plagioclase and little or no garnet in the source residue, indicating magma derivation at low pressures of 0.4–0.8 GPa that correspond to a depth of ~15–30 km. The nearby tholeiitic basalts and dolerites, interstratified with the Triassic pelagic sediments, indicate bimodal volcanism in the region. They also support a model involving an upwelling asthenosphere that underplated the Vertiskos Unit basement, supplying the heat required for crustal melting at low pressures. The Permo–Triassic magmatism marks the transition from an orogenic to an anorogenic environment during the initial stage of continental breakup of the Variscan basement in a post-collision extensional tectonic framework, leading to the formation of the nascent Mesozoic Neo-Tethyan Maliac–Vardar Ocean. This apparently reveals that the Variscan continental collision between the Gondwana-derived Vertiskos and Pelagonian terranes must have been completed by at least the earliest Late Permian.
Remote Sensing and Geophysical Applications in the Dead Sea Region: Insights, Trends, and Advances
Authors: Closson Damien , Djamil Al-Halbouni
Published: February 2025

The Dead Sea ecosystem, with its hypersaline conditions, base-level fluctuations, and active tectonics, presents a unique challenge for geological studies. Its equilibrium is increasingly unbalanced due to overexploitation of water and mineral resources. Remote sensing, including drone-based photogrammetry and satellite imaging, monitors large-scale surface changes, while geophysical methods like electromagnetic and seismic surveys reveal subsurface structures. The integration of these methods has transformed our understanding. Combined studies now monitor hazards such as sinkholes, subsidence, and landslides with greater precision. Advances in artificial intelligence further enhance analysis by processing vast datasets to uncover previously undetectable trends. This synergy between remote sensing, geophysics, and AI offers efficient solutions for studying the disrupted ecosystem. Critical challenges include environmental degradation, rapid water loss, and sinkhole formation, threatening infrastructure, industries, and habitats. Remote sensing has been pivotal in monitoring and mitigating these hazards. Together with geophysics, it provides a robust framework for addressing these extreme conditions. By combining these methods, researchers gain valuable insights into the unique dynamics of the Dead Sea ecosystem, advancing scientific knowledge and supporting sustainable management strategies.
Investigating the Interplay Between Sleep, Anxiety, and Depression in Chronic Kidney Disease Patients: Implications for Mental Health
Authors: Saguban Reynita , AlAbd Asmaa Mohamed Ali , Rondilla Evalyn , Buta Joyce , Marzouk Salwa Ali , Maestrado Richard , Sankarapandian Chandrakala , Alkubati Sameer A. , Mostoles Romeo , Alshammari Salman Amish , Alrashidi Maha Sanat , Gonzales Analita , Lagura Grace Ann , Gonzales Ferdinand
Published: February 2025

Background/Objectives: This study aims to determine the level of anxiety, depression, and sleep disturbances in patients with chronic kidney disease, as well as the interactions between the three comorbidities, and the implications it has for health practitioners. Methods: A descriptive cross-sectional study, following the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines, was implemented whereby 179 patients with chronic kidney disease attending a government hospital were recruited to this study. Results: Our results showed that 65.9% of the participants had the metrics of severe anxiety while 34.1 percent had moderate anxiety. Further, it was reported that more than half 51.4% of participants had poor sleep quality. The levels of depression reported by the patients were roughly 40.2% minimal depression, 29.6% mild, 21.2% moderate, and 8.9% depression that was severe. There was a significant correlation between mental health disease together with sociodemographic variables such as gender, marital status, educational status, and nationality (p < 0.05). Cut points of those aged 26–35 found younger patients experiencing higher anxiety levels (cut point (AOR = 2.792; p = 0.021)), and they also had poorer sleep quality (AOR = 0.403; p = 0.020). Conclusion: Our findings illustrate the importance of more frequent early mental health measures and strategies that help patients with chronic kidney diseases. The main study limitation was the cross-sectional design, which allows for correlational but not causal statements to be made. We address a gap in the literature with our results by noting specific demographic characteristics that are associated with poor mental health in chronic kidney disease populations and discuss practical and policy recommendations aimed at enhancing the mental well-being of chronic kidney disease patients.
Long COVID Research, 2020–2024: A PubMed-Based Bibliometric Analysis
Authors: Honorato-Cia Cristina , Cacho-Asenjo Elena , Martinez-Simon Antonio , Aquerreta Irene , Núñez-Córdoba Jorge M.
Published: February 2025

Long COVID is a SARS-CoV-2 infection-associated chronic condition with great potential to impact health and socioeconomic outcomes. The research efforts to face the challenges related to long COVID have resulted in a substantial amount of publications, which warrants the need for bibliometric profiling. This is a large-scale PubMed-based bibliometric analysis of more than 390,000 COVID-19 publications. The overall aim was to update the profile of long COVID publications in comparison with the rest of the COVID-19 scientific literature through December 2024. The estimated proportion of long COVID publications was relatively low (2.3% of all COVID-19 publications), although the cumulative frequency (n = 8928) continues to pose a challenge for proper information management. Currently, “treatment” and “mechanism” appear to be the most predominant research topics in the long COVID literature. Interestingly, this evaluation revealed a distinctive profile of the long COVID literature, with a clear preponderance of “case report” and “mechanism” research topics when compared with other COVID-19 publications. This evaluation also identified and ranked the most prolific scientific journals in the production of long COVID-related publications. This study may improve the visibility of long COVID research and contribute to the management of the growing scientific knowledge on long COVID.
Somatization and Body Composition: Findings from a Cross-Sectional Study on Non-Clinical Young Adults
Authors: Baranauskas Marius , Kupčiūnaitė Ingrida , Lieponienė Jurgita , Stukas Rimantas
Published: February 2025

Background/Objectives: Lifestyle is a significant, common, and easily modifiable factor capable of increasing or reducing the risk of acquiring many diseases. Currently, there is a research gap as too little scientific attention has been focused on exploring the relationship between mental health and nutritional status in various populations. Moreover, the association between body composition and somatization has not been fully disclosed. Therefore, this study aimed to assess the associations of body composition with the symptomatology of somatization in an environmentally vulnerable sample of young adults. Methods: A single cross-sectional study included young non-clinical Lithuanian students (n = 1223) aged 21.7 ± 3.9. The body adiposity status of the study participants was estimated using both the body mass index (BMI) and the Body Adiposity Estimator (CUN-BAE) method. Fat-free mass was evaluated via the adjusted fat-free mass index equation (FFMIadj). The Patient Health Questionnaire (PHQ-15) was applied to assess the severity of the perceived symptoms of a somatic symptom disorder (SSD). Results: The CUN-BAE was considered to be a better predictor of adiposity than the BMI because 14.7% of females and 6.2% of males were interpreted as obese using the CUN-BAE, while the BMI equation identified participants as having a normal body weight. The highest rates of somatization were found in 18.6% of the cohort. Young adults with higher amounts of body fat mass (β: 0.050, 95% confidence interval (95% CI): 0.013; 0.084, p = 0.007) and lower FFMI are prone to a higher risk for developing somatization (β: −0.429, 95% CI: −0.597; −0.260, p < 0.001). Conclusions: Our study revealed that body composition is significantly related to multiple somatic complaints throughout a range of measurements. However, in contrast to the CUN-BAE tool, the BMI equation underestimated the relationship between body fat and mental health outcomes in young adults. Even though nutritional status along with targeted physical load, as the mediators, are likely to play a significant role in the maintenance of optimal body composition and mental health outcomes, healthcare providers are recommended to advise individuals to lower their body fat percentage and increase fat-free mass in order to reduce the risk of somatization.
Storage Temperature Effect on Quality and Shelf-Life of Hericium erinaceus Mushroom
Authors: Silva Mafalda , Vida Manuela , Ramos Ana Cristina , Lidon Fernando J. , Reboredo Fernando H. , Gonçalves Elsa M.
Published: February 2025

Hericium erinaceus, commonly known as Lion’s Mane mushroom, presents a challenge for maintaining quality and shelf-life during post-harvest storage. This study investigates the impact of different temperatures (5 °C, 13 °C, and 21 °C) during 14 days of storage, on the physicochemical, microbiological, and bioactive characteristics of H. erinaceus. Respiration was measured as an indicator of physiological aging, showing that higher temperatures increased CO2 production as well as O2 depletion. Physicochemical assessments, including moisture content, pH, titratable acidity, weight loss, browning index, and firmness, demonstrated that refrigeration at 5 °C best preserved the mushrooms’ quality. Storage at 5 °C effectively minimized microbial proliferation, maintaining acceptable levels until day 7 but showing increased contamination by day 14. However, higher temperatures promoted antioxidant activity and total phenolic content, likely due to moisture loss and oxidative stress. These findings highlight the critical role of low-temperature storage in preserving both the physicochemical integrity and functional bioactivity of H. erinaceus, and suggest further research into packaging solutions and preservation strategies to optimize the post-harvest handling of H. erinaceus.
Evaluation of Urban Accessibility Through Geomarketing Techniques: Case Study in Valencia (Spain)
Authors: Villanueva-Durbán Néstor , Lorenzo-Sáez Edgar , Lerma-Arce Victoria , Coll-Aliaga Eloina
Published: February 2025

Today’s world is becoming increasingly urbanised, with populations concentrated in cities. This trend underscores the need to monitor urban growth and its potential adverse effects. The 2030 Agenda for Sustainable Development, the European Urban Agenda, various local agendas, and the “15-Minute City” concept aim to mitigate these effects, particularly climate change-related ones. This paper explored the role of accessibility to public transport, services, and green urban areas (GUAs) in achieving the goals of SDG 11: Sustainable cities and communities and examined the feasibility of establishing 15-min cities by evaluating urban indicators. The methodology applied geomarketing techniques within geographic information systems (GISs) using high spatial resolution and influence buffers rather than conventional buffers for a more accurate assessment. These results offer a comprehensive and specific view of the city’s situation, based on the case study of Valencia (Spain), and provide urban planning tools for decision-makers with accessibility evaluated as a percentage at the block level.
Beyond the Road: A Regional Perspective on Traffic Congestion in Metro Atlanta
Authors: Seong Jeong Chang , Lee Seungyeon , Cho Yoonjae , Hwang Chulsue
Published: February 2025

Traffic congestion not only affects traffic flow but also influences public perception of congested regions. While analyzing congestion at the road section level can help identify engineering solutions, it often fails to reveal broader spatial patterns and trends at the regional or macro scale unless summarized effectively. This study aims to address these challenges by focusing on regional-scale traffic congestion amounts measured by distanceTime metrics. A 12–month dataset, sampled every 10 min, was analyzed to identify spatial patterns, temporal trends, regional variations, and predictive models in the Metro Atlanta area. The results show that congestion is the most severe and increasing at key urban corridors like Brookhaven–Sandy Springs, the downtown connector, Druid Hills–Decatur, and Johns Creek–Cumming, aligning with recent urban developments. Cities such as Alpharetta, Dunwoody, Brookhaven, Austell, Stone Mountain, East Point, Lake City, Morrow, Fairburn, and Jonesboro show high increasing trends in congestion. Predictive modeling with the long short-term memory (LSTM) method shows promising results for short-term forecasts, though variability in data requires further optimization for certain cities. This research is significant because it demonstrates that congestion amounts measured by distanceTime metrics can be used for assessing regional characteristics broadly at a metropolitan city scale. The findings and methodologies identified in this research might support urban and transportation planning efforts in metropolitan planning organizations, such as the Atlanta Regional Commission, by identifying congestion amounts and trends at both the regional and road scales.
Evaluating the Performance of Peak Calling Algorithms Available for Intracellular G-Quadruplex Sequencing
Authors: Wang Yuqi , Xiao Ke , Tao Tiantong , Zhang Rongxin , Shu Huiling , Sun Xiao
Published: February 2025

DNA G-quadruplexes (G4) are non-canonical DNA structures that play key roles in various biological processes. Antibody-dependent sequencing is an important tool for identifying intracellularly formed DNA G4s, and peak calling is a crucial step in processing the sequencing data. As the applicability of existing peak calling algorithms to intracellular G4 data has not been previously assessed, we systematically compared and evaluated these algorithms to determine those best suited for G4 detection. We selected seven representative candidates from 43 published peak calling algorithms for detailed evaluation. The performance of each candidate on six published intracellular G4 sequencing datasets (GSE107690, GSE145090, GSE133379, GSE178668ChIP-seq, GSE178668CUT&Tag, GSE221437) were assessed by precision and recall against customized benchmarks integrating results from multiple algorithms, as well as consistency with known G4 information (pG4 predicted by pqsfinder, oG4 from GSE63874, and multi-cell-line conserved G4s) and epigenetic signals. We identified MACS2, PeakRanger, and GoPeaks as the most effective algorithms for analyzing intracellular G4 sequencing data, and attributed their superior performance partially to the distribution model of sequencing reads/fragments used in the hypothesis testing step of the peak calling procedures. These findings provide guidance and rationale for selecting peak callers appropriate for intracellular G4 data.
miRNA Signatures in Alveolar Macrophages Related to Cigarette Smoke: Assessment and Bioinformatics Analysis
Authors: Mirra Davida , Esposito Renata , Spaziano Giuseppe , Rafaniello Concetta , Panico Francesca , Squillante Antonio , Falciani Maddalena , Abrego-Guandique Diana Marisol , Caiazzo Eleonora , Gallelli Luca , Cione Erika , D’Agostino Bruno
Published: February 2025

Cigarette smoke (CS) is a driver of many respiratory diseases, including chronic obstructive pulmonary disease (COPD) and non-small cell lung cancer (NSCLC). Tobacco causes oxidative stress, impaired phagocytosis of alveolar macrophages (AMs), and alterations in gene expression in the lungs of smokers. MicroRNAs (miRNAs) are small non-coding RNAs that influence several regulatory pathways. Previously, we monitored the expressions of hsa-miR-223-5p, 16-5p, 20a-5p, -17-5p, 34a-5p, and 106a-5p in AMs derived from the bronchoalveolar lavage (BAL) of subjects with NSCLC, COPD, and smoker and non-smoker control groups. Here, we investigated the capability of CS conditionate media to modulate the abovementioned miRNAs in primary AMs obtained in the same 43 sex-matched subjects. The expressions of has-miR-34a-5p, 17-5p, 16-5p, 106a-5p, 223-5p, and 20a-5p were assessed before and after in vitro CS exposure by RT-PCR. In addition, a comprehensive bioinformatic analysis of miRNAs KEGGS and PPI linked to inflammation was performed. Distinct and common miRNA expression profiles were identified in response to CS, suggesting their possible role in smoking-related diseases. It is worth noting that, following exposure to CS, the expression levels of hsa-miR-34a-5p and 17-5p in both smokers and non-smokers, 106a-5p in non-smokers, and 20a-5p in smokers, shifted towards those found in individuals with COPD, suggesting them as a risk factor in developing this lung condition. Moreover, CS-focused sub-analysis identified miRNA which exhibited CS-dependent pattern and modulated mRNA involved in the immune system or AMs property regulation. In conclusion, our study uncovered miRNA signatures in AMs exposed to CS, indicating that CS might modify epigenetic patterns that contribute to macrophage activation and lung disease onset and progression.
Molecular Detection of Human Papillomavirus (HPV) and Other Sexually Transmitted Pathogens in Cervical and Self-Collected Specimens
Authors: Giubbi Chiara , Martinelli Marianna , Rizza Michelle , Di Meo Maria Letizia , Njoku Ruth Chinyere , Perdoni Federica , Mannarà Giulio , Musumeci Rosario , Fruscio Robert , Landoni Fabio , Cocuzza Clementina Elvezia
Published: February 2025

This study investigated the detection of high-risk Human Papillomavirus (hrHPV) and seven other pathogens associated with sexually transmitted infections (STIs) in matched clinician-collected cervical samples and self-taken vaginal and urine specimens collected from 342 asymptomatic women referred to colposcopy to evaluate (i) the concordance in the molecular detection of investigated pathogen in three different sample types; (ii) the analytical sensitivity and specificity of STIs detection on self-samples; and (iii) the distribution of STIs in hrHPV-positive and hrHPV-negative women. Pathogens detection was performed using Anyplex™II HR and Anyplex™II STI-7e, respectively. Good/substantial agreement was observed between cervical and self-taken samples in detecting hrHPV (κ = 0.870 and κ = 0.773 for vaginal and urine). The agreement between cervical and self-taken samples for detecting STIs was found to be significant (κ = 0.779 and κ = 0.738 for vaginal and urine), with almost perfect agreement between urine and vaginal specimens (κ = 0.899). The positivity rate for all investigated STIs was found to be higher in hrHPV-positive compared to hrHPV-negative women. In conclusion, self-sampling proved to be a valid alternative to cervical samples to detect hrHPV and STIs, but further studies are required to evaluate the role of STI coinfections in cervical lesions development and progression.
ctdsp2 Knockout Induces Zebrafish Craniofacial Dysplasia via p53 Signaling Activation
Authors: Xia Xin , Song Wenjie , Zhang Fuyu , Fan Yue , Zhang Bo , Chen Xiaowei
Published: February 2025

Hemifacial microsomia (HFM) is a rare congenital craniofacial deformity that significantly impacts the appearance and hearing. The genetic etiology of HFM remains largely unknown, although genetic factors are considered to be primary contributors. We previously identified CTDSP2 as a potential causative gene in HFM cases. Utilizing CRISPR/Cas9, we knocked out ctdsp2 in zebrafish and analyzed the spatiotemporal expression of ctdsp2 and neural crest cell (NCC) markers through in situ hybridization (ISH). Craniofacial cartilage and chondrocyte phenotypes were visualized using Alcian blue and wheat germ agglutinin (WGA) staining. Cell proliferation and apoptosis were assessed via immunofluorescence with PH3 and TUNEL. RNA sequencing was performed on ctdsp2−/− embryos and control siblings, followed by rescue experiments. Knockout of ctdsp2 in zebrafish resulted in craniofacial defects characteristic of HFM. We observed abnormalities in NCC apoptosis and proliferation in the pharyngeal arches, as well as impaired differentiation of chondrocytes in ctdsp2−/− embryos. RNA-Seq analysis revealed significantly higher expression of genes in the p53 signaling pathway in mutants. Furthermore, ctdsp2 mRNA injection and tp53 knockout significantly rescued pharyngeal arch cartilage dysplasia. Our findings suggest that ctdsp2 knockout induces zebrafish craniofacial dysplasia, primarily by disrupting pharyngeal chondrocyte differentiation and inhibiting NCC proliferation through p53 signaling pathway activation.
Transcriptomic and Phenotypic Responses of Cucumber Trichome Density to Silver Nitrate and Sodium Thiosulfate Application
Authors: Ahmad Muhammad , Li Sen , Shan Li , Yang Songlin , Wang Yaru , Fan Shanshan , An Menghang , Shi Yingqi , Xu Yifan , Pei Tiantian , Ma Xinyue , Zhao Yibing , Xue Hao , Liu Xingwang , Ren Huazhong
Published: February 2025

Cucumber (Cucumis sativus L.) is one of the most widely cultivated crops worldwide and is valued for its nutritional, economic, and ecological benefits. The regulation of defense mechanisms against herbivores, along with osmotic loss and environmental regulation, is greatly affected by trichomes in cucumbers. In this study, we attempted to characterize trichomes and examined fruit physiological and transcriptome profiles by RNA sequencing in cucumber breeding lines 6101-4 and 5634-1 at three stages of fruit development through foliar application with a combination of silver nitrate (AgNO3) and sodium thiosulfate (Na2S2O3) in comparison to non-treated controls. Notable increases in the number of trichomes and altered forms were observed for both inbred cultivars 6101-4 and 5634-1 against foliar application of chemical substances. RNA-seq analysis was performed to identify differentially expressed genes (DEGs) involved in multiple pathways in cucumber trichome formation. The enrichment of differentially expressed transcripts showed that foliar application upregulated the expression of many stress-responsive and trichome-associated genes including plant hormone signal transduction, sesquiterpenoid and triterpenoid biosynthesis, and the mitogen-activated protein kinase (MAPK) signaling pathway. The dominant regulatory genes, such as allene oxide synthase (AOS) and MYB1R1 transcription factor, exhibited significant modulations in their expression in response to chemical application. The RNA-seq results were further confirmed by RT-PCR-based analysis, which revealed that after chemical application, the dominant regulatory genes, such as allene oxide synthase (AOS), PTB 19, MYB1R1, bHLH62-like, MADS-box transcription factor, and salicylic acid-binding protein 2-like, were differentially expressed, implying that these DEGs involved in multiple pathways are involved the positive regulation of the initiation and development of trichomes in C. sativus. A comparison of trichome biology and associated gene expression regulation in other plant species has shown that silver nitrate (AgNO3) and sodium thiosulfate (Na2S2O3) are also responsible for hormonal and signaling pathway regulation. This study improves our knowledge of the molecular mechanisms involved in C. sativus trichome development. It also emphasizes the possibility of utilizing chemical composition to modulate C. sativus trichome-related characteristics of C. sativus, leading to the improvement of plant defense mechanisms as well as environmental adaptation.