bluuebunny/crossref_metadata_2025_split huggingface dataset:
METTL3 as a novel diagnosis and treatment biomarker and its association with glycolysis, cuproptosis and ceRNA in oesophageal carcinoma
Authors: Liu Xu‐Sheng , Zhang Yu , Liu Zi‐Yue , Gao Yan , Yuan Ling‐Ling , Zeng Dao‐Bing , Tan Fan , Wan Hua‐Bing , Pei Zhi‐Jun 
Published: March 2024

AbstractMETTL3 has been shown to be involved in regulating a variety of biological processes. However, the relationship between METTL3 expression and glycolysis, cuproptosis‐related genes and the ceRNA network in oesophageal carcinoma (ESCA) remains unclear. ESCA expression profiles from databases were obtained, and target genes were identified using differential analysis and visualization. Immunohistochemistry (IHC) staining assessed METTL3 expression differences. Functional enrichment analysis using GO, KEGG and GSEA was conducted on the co‐expression profile of METTL3. Cell experiments were performed to assess the effect of METTL3 interference on tumour cells. Correlation and differential analyses were carried out to assess the relationship between METTL3 with glycolysis and cuproptosis. qRT‐PCR was used to validate the effects of METTL3 interference on glycolysis‐related genes. Online tools were utilized to screen and construct ceRNA networks based on the ceRNA theory. METTL3 expression was significantly higher in ESCA compared to the controls. The IHC results were consistent with the above results. Enrichment analysis revealed that METTL3 is involved in multiple pathways associated with tumour development. Significant correlations were observed between METTL3 and glycolysis‐related genes and cuproptosis‐related gene. Experiments confirmed that interfered with METTL3 significantly inhibited glucose uptake and lactate production in tumour cells, and affected the expression of glycolytic‐related genes. Finally, two potential ceRNA networks were successfully predicted and constructed. Our study establishes the association between METTL3 overexpression and ESCA progression. Additionally, we propose potential links between METTL3 and glycolysis, cuproptosis and ceRNA, presenting a novel targeted therapy strategy for ESCA.
Prevalence of self‐reported severe periodontitis: Data from the population‐based CONSTANCES cohort
Authors: Wiernik Emmanuel , Renuy Adeline , Kab Sofiane , Steg Philippe Gabriel , Goldberg Marcel , Zins Marie , Caligiuri Giuseppina , Bouchard Philippe , Carra Maria Clotilde 
Published: March 2024

AbstractAimTo assess the prevalence of severe periodontitis based on the population‐based CONSTANCES cohort using a validated self‐reported questionnaire.Materials and MethodsIndividuals were selected from the adult population in France using a random sampling scheme. Analyses were restricted to those invited in 2013–2014 who completed the periodontal health questionnaire at the 2017 follow‐up. The risk of severe periodontitis was assessed using the periodontal screening score (PESS) and weighting coefficients were applied to provide representative results in the general French population.ResultsThe study included 19,859 participants (9204 men, mean age: 52.8 ± 12.6 years). Based on a PESS ≥ 5, 7106 participants were at risk of severe periodontitis, corresponding to a weighted prevalence of 31.6% (95% confidence interval: 30.6%–32.7%). This prevalence was higher among participants aged 55 and over, those with lower socio‐economic status as well as current smokers, e‐cigarette users and heavy drinkers. Among individuals at risk of severe periodontitis, only 18.8% (17.3%–20.4%) thought they had gum disease, although 50.5% (48.6%–52.5%) reported that their last dental visit was less than 6 months.ConclusionsThe present survey indicates that (1) self‐reported severe periodontitis is highly prevalent with marked disparities between groups in the general French adult population, and (2) periodontitis could frequently be under‐diagnosed given the low awareness.
Inactivation of polyphenol oxidase and peroxidase in pineapple juice during continuous ohmic heating and modeling of inactivation kinetics during isothermal holding
Authors: Kumar Amardeep , Srivastava Brijesh 
Published: March 2024

AbstractContinuous ohmic heating (COH) is a novel thermal technology for fruit juice processing and preservation. The present work demonstrated the effect of COH parameters like electric field strength (EFS: 30–40 V/cm), isothermal holding (0–60 s), and temperature (70–90°C) on the inactivation of polyphenol oxidase (PPO) and peroxidase (POD) in standardized pineapple juice. Statistical parameters and Akaike information criteria were used to compare kinetic models like the first order, distinct isozymes, Weibull distribution, sigmoidal logistic, and fractional conversion for PPO and POD inactivation. The findings revealed that the COH parameters significantly affected the activities of both enzymes. A maximum inactivation of 68.2% of PPO and 82.2% of POD was observed at 90°C, 60 s, and 40 V/cm. The Weibull distribution model, compared to other models, was found to describe the inactivation kinetics better for both PPO (R2 > 0.99; RMSE < 0.0101) and POD (R2 > 0.98; RMSE < 0.042). The accuracy factor (Af) and bias factor (Bf) for both PPO (Af = 1.003–1.010; Bf = 1.000–1.004) and POD (Af = 1.007–1.072; Bf = 0.992–1.009) were closer to simulation line suggesting the accuracy of the Weibull model in predicting the enzyme inactivation. Also, Akaike increment (∆i < 2) substantially supported the Weibull model. The shape factor (n < 1) explained the tailing phenomenon of the enzymes. The PPO's scale factor (δ values) was higher than POD, suggesting higher thermal stability of PPO than POD. Thus, the Weibull model is a good tool for predicting the enzyme inactivation in COH‐treated standardized pineapple juice.Practical ApplicationsContinuous ohmic heating (COH) is a novel electro‐thermal technology that heats the fruit juice quickly, uniformly, and volumetrically. Generally, for inactivating spoilage enzymes like polyphenol oxidase and peroxidase during pineapple juice processing in an industrial set‐up, a conventional method of conduction and convection mode of heat transfer is used. This results in a high‐temperature gradient within the juice matrix, causing a problem of over‐ and under‐processing of juice. Ohmic heating is a potential and efficient way of inactivating these spoilage enzymes to a desired level in a shorter processing time. It can be used to preserve juice by extending its shelf life. COH can reduce the total heat damage to the juice by maintaining its flavor and nutrient compounds. Overall, ohmic heating is a versatile and effective technology for the continuous processing of fruit juice for improved product quality and production efficiency.
Online detection of eggshell cracks using adaptive light‐source intensity
Authors: Sun Li , Sun Qingyuan , Cai Jianrong , Wu Zehong , Ding Wei 
Published: March 2024

AbstractUnder the fixed light source intensity (LSI), eggshell thickness difference results in excessive exposure or darkening in imaging, which affects the accuracy of crack identification. To optimize it, a solution involves the utilization of an innovative adaptive light source for optical imaging is proposed. A multi function station is adopted. Among them, one station serves as a reference workstation is utilized to obtain the average grayscale value of the eggs image. The other sub stations serve as detection workstations to acquire and detect the panoramic images of the eggshell. By using the red component average grayscale as a reference to adjust the LSI in the remaining sub stations, imaging consistency is effectively. Moreover, a dual threshold segmentation algorithm was developed to attenuate the dark spot, thereby improving crack detection. Experiments results demonstrating the proposed method significantly improving the detection accuracy of non microcracked eggs while achieving approximately 90% and 92% detection accuracy for intact and cracked eggs, respectively.Practical ApplicationsThere are a few studies on the consistency of light for eggs, and in actual online detection, the light source is often set to a fixed light intensity value, which can lead to overexposure or over‐darkening of the egg image due to variations in the eggshell thickness, and both overexposed and over‐darkened images will result in decreased accuracy of crack recognition. This study designed and built an online detection system for eggshell cracks based on variable light intensity. Therefore, the system not only can help to improve the crack recognition rate of poultry eggs and improve their quality but also would help to promote the development of the commercialization of poultry eggs, which has a broad application prospect.
Preservation of fruits through drying—A comprehensive review of experiments and modeling approaches
Authors: Kilic Mustafa , Sahin Mahir , Hassan Aitazaz , Ullah Atta 
Published: March 2024

AbstractA significant part of the world's population still has problems in accessing food. The growing world population will exacerbate this issue in the future. Innovative studies conducted in this field play a crucial role in addressing the issue of drying and storage of foods. Atmospheric drying methods, such as rotary, tunnel, conveyor, cabinet, tower, and kiln dryers, offer advantages in relation to high production capacities, cost‐effective initial setup, and economical operating conditions. However, concurrently, the weaknesses of these methods arise from factors such as drying duration, uneven moisture content, and space requirements. The solar dryer method is especially effective in dehydrating agricultural products, offering an energy‐saving advantage compared to other methods. However, it is important to note that this approach, which involves exposing crops to direct sunlight, comes with several drawbacks affecting both food quality and health. In cases where the quality of highly valued foodstuffs is crucial, subatmospheric drying methods like vacuum, freeze, and microwave freeze are typically preferred. However, the primary drawback of this approach lies in its high operating costs, particularly in terms of energy consumption. Artificial neural networks (ANNs) can be used for predictive modeling, helping to forecast drying behavior and optimize process parameters in food drying applications especially nonlinear connections among variables. ANNs are adept at managing nonlinearities, offering a more precise depiction of the intricate interactions within food drying systems. This review examines articles from the last 5 years in the literature, synthesizing research conducted in food drying. The findings indicate a predominant interest among researchers in methodologies with lower environmental impact, prompting increased attention to studies addressing this aspect. There is a notable emphasis on the frequent exploration of energy‐efficient systems. The ongoing research focuses on the development of methods utilizing ultrasonic, infrared radiation, and electrohydrodynamic techniques to achieve more effective, shorter‐duration, energy‐efficient drying processes with enhanced control over the final product.
Comparing a fecal immunochemical test and circulating tumor DNA blood test for colorectal cancer screening adherence
Authors: Laven‐Law Geraldine , Symonds Erin L , Winter Jean M , Chen Gang , Flight Ingrid H , Hughes‐Barton Donna , Wilson Carlene J , Young Graeme P 
Published: March 2024

AbstractBackground and AimColorectal cancer (CRC) screening programs are most effective at reducing disease incidence and mortality through sustained screening participation. A novel blood test modality is being explored for CRC screening, but it is unclear whether it will provide sustained screening participation. This study aimed to investigate whether a circulating tumor DNA (ctDNA) blood test improved CRC screening re‐participation when compared with a fecal immunochemical test (FIT) and to define the predictors of sustained CRC screening in an Australian population.MethodsSouth Australians who initially participated in CRC screening using a ctDNA blood test (n = 36) or FIT (n = 547) were offered the same CRC screening test approximately 2 years later through an extended phase of a randomized controlled trial. Surveys collected demographic, psychosocial, and clinical information. Predictors of CRC screening re‐participation were explored using chi‐square, Wilcoxon tests, and logistic regression.ResultsParticipants offered a second ctDNA blood test were equally likely to re‐participate in CRC screening as those who completed a FIT in the first round and who were offered the same test (61% vs 66% re‐participation respectively, P = 0.6). CRC fatalism, health activation, and self‐efficacy were associated with repeated screening participation. Test awareness was predictive of repeated FIT‐based CRC screening.ConclusionsTargeted interventions to improve CRC screening awareness and increase patient health activation may improve CRC screening adherence. A ctDNA blood test may be a suitable CRC screening option to maintain CRC screening adherence in people who do not participate in screening with FIT.
Morphological variation, modularity and integration in the scapula and humerus of Lissotriton newts
Authors: Urošević Aleksandar , Budečević Sanja , Ljubisavljević Katarina , Tomašević Kolarov Nataša , Ajduković Maja 
Published: March 2024

AbstractThe modular organization of tetrapod paired limbs and girdles, influenced by the expression of Hox genes is one of the primary driving forces of the evolution of animal locomotion. The increased morphological diversification of the paired limbs is correlated with reduced between‐limb covariation, while correlation within the elements is usually higher than between the elements. The tailed amphibians, such as Lissotriton newts, have a biphasic lifestyle with aquatic and terrestrial environments imposing different constraints on limb skeleton. By employing the methods of computerized microtomography and 3D geometric morphometrics, we explored the pattern of morphological variation, disparity, modularity and morphological integration in the proximal parts of the anterior limbs of six species of Eurasian small bodied newts. Although the species significantly differ in limb shape, there is a great overlap in morphology of scapula and humerus, and there are no differences in morphological disparity. For the scapula, the shape differences related to the duration of the aquatic period are in length, depth and curvature. The shape of the humerus is not affected by the length of aquatic period, and shape differences between the species are related to robustness of the body. The length of aquatic period has statistically supported phylogenetic signal. The scapula and humerus are structures of varying modularity. For the humerus, the strongest support on the phylogenetic level was for the capitulum/shaft hypothesis, which can also be interpreted as functional modularity. For the scapula, the greatest support was for the antero‐posterior hypothesis of modularity in case of Lissotriton vulgaris, which can be explained by different functional roles and muscle insertion patterns, while there was no phylogenetic modularity. The modularity patterns seem to correspond with the general tetrapod pattern, with modularity being more pronounced in the distal structure. The future research should include more salamandrid taxa with different habitat preferences and both adult and larval stages, in order to explore how size, phylogeny and ecology affect the morphology and covariation patterns of limbs.
Size and shape heterodonty in the early Permian synapsid Mesenosaurus efremovi
Authors: Maho Tea , Maho Sigi , Bevitt Joseph J. , Reisz Robert R. 
Published: March 2024

AbstractPaleozoic synapsids represent the first chapter in the evolution of this large clade that includes mammals. These fascinating terrestrial vertebrates were the first amniotes to successfully adapt to a wide range of feeding strategies, reflected by their varied dental morphologies. Evolution of the marginal dentition on the mammalian side of amniotes is characterized by strong, size and shape heterodonty, with the late Permian therapsids showing heterodonty with the presence of incisiform, caniniform, and multicuspid molariform dentition. Rarity of available specimens has previously prevented detailed studies of dental anatomy and evolution in the initial chapter of synapsid evolution, when synapsids were able to evolve dentition for insectivory, herbivory, and carnivory. Numerous teeth, jaw elements, and skulls of the hypercarnivorous varanopid Mesenosaurus efremovi have been recently discovered in the cave systems near Richards Spur, Oklahoma, permitting the first detailed investigation of the dental anatomy of a Paleozoic tetrapod using multiple approaches, including morphometric and histological analyses. As a distant stem mammal, Mesenosaurus is the first member of this large and successful clade to exhibit a type of dental heterodonty that combines size and morphological (shape) variation of the tooth crowns. Here we present the first evidence of functional differentiation in the dentition of this early synapsid, with three distinct dental regions having diverse morphologies and functions. The quality and quantity of preserved materials has allowed us to identify the orientation and curvature of the carinae (cutting edges), and the variation and distribution of the ziphodonty (serrations) along the carinae. The shape‐related heterodonty seen in this taxon may have contributed to this taxon's ability to be a successful mid‐sized predator in the taxonomically diverse community of early Permian carnivores, but may have also extended the ecological resilience of this clade of mid‐sized predators across major faunal and environmental transitions.
Mergers, Product Prices, and Innovation: Evidence from the Pharmaceutical Industry
Authors: BONAIMÉ ALICE , WANG YE (EMMA) 
Published: March 2024

ABSTRACTUsing novel data from the pharmaceutical industry, we study product prices and innovation around mergers. Exploiting within‐deal variation in product market consolidation, we show that prices increase more for drugs in consolidating markets than for matched control drugs. Estimates indicate a 2% average price effect that persists for about one year. Price increases expand with acquirer‐target product similarity and are more pronounced within less competitive product markets with fewer players and no generic competition. Examination of trade‐offs reveals these deals generate significant shareholder value. They also spur labeling and other manufacturing‐related innovation, but not the development of new drugs.
Utilizing imaging parameters for functional outcome prediction in acute ischemic stroke: A machine learning study
Authors: Ozkara Burak B. , Karabacak Mert , Hoseinyazdi Meisam , Dagher Samir A. , Wang Richard , Karadon Sadik Y. , Ucisik F. Eymen , Margetis Konstantinos , Wintermark Max , Yedavalli Vivek S. 
Published: March 2024

AbstractBackground and PurposeWe aimed to predict the functional outcome of acute ischemic stroke patients with anterior circulation large vessel occlusions (LVOs), irrespective of how they were treated or the severity of the stroke at admission, by only using imaging parameters in machine learning models.MethodsConsecutive adult patients with anterior circulation LVOs who were scanned with CT angiography (CTA) and CT perfusion were queried in this single‐center, retrospective study. The favorable outcome was defined as a modified Rankin score (mRS) of 0‐2 at 90 days. Predictor variables included only imaging parameters. CatBoost, XGBoost, and Random Forest were employed. Algorithms were evaluated using the area under the receiver operating characteristic curve (AUROC), the area under the precision‐recall curve (AUPRC), accuracy, Brier score, recall, and precision. SHapley Additive exPlanations were implemented.ResultsA total of 180 patients (102 female) were included, with a median age of 69.5. Ninety‐two patients had an mRS between 0 and 2. The best algorithm in terms of AUROC was XGBoost (0.91). Furthermore, the XGBoost model exhibited a precision of 0.72, a recall of 0.81, an AUPRC of 0.83, an accuracy of 0.78, and a Brier score of 0.17. Multiphase CTA collateral score was the most significant feature in predicting the outcome.ConclusionsUsing only imaging parameters, our model had an AUROC of 0.91 which was superior to most previous studies, indicating that imaging parameters may be as accurate as conventional predictors. The multiphase CTA collateral score was the most predictive variable, highlighting the importance of collaterals.
Enabling factors that facilitate recovery among survivors of gender‐based violence
Authors: Tarabih Sally , Arnault Denise Saint 
Published: March 2024

Accessible SummaryWhat is known on the subject?

Gender‐based violence (GBV) has long‐term devastating effects on psychological health, resulting in depression, anxiety and posttraumatic stress disorder.

Beyond physical and mental health symptoms, GBV can affect survivors on many personal, social, and spiritual levels, impacting their ability to connect to themselves, others, and the world around them.

While most research on recovery following GBV has focused on recognizing factors associated with distress or adverse outcomes, there is limited information about how they recover.

What the paper adds to existing knowledge?

We know little about the internal characteristics that enable or support the healing journey (factors) or what the survivors do to build capacity or support for health and change (strategies). Therefore, this study discovered the main factors or strategies that GBV survivors used throughout their recovery process which included; social connection, self‐care, self‐understanding and spiritual connection.

What are the implications for practice?

Mental health nurses always encounter and deal with the GBV survivors as they always suffer from mental health issues related to their trauma. Therefore, mental health nurses can utilize our research findings to establish nursing interventions or psychoeducational programs with the aim of facilitating trauma recovery among the survivors.

AbstractIntroductionGender‐based violence (GBV) is a severe worldwide phenomenon mainly affecting women. Little studies focus on the details of the recovery process that survivors of GBV go through.AimTo identify the enabling factors that facilitate recovery among survivors of GBV.MethodWe used the thematic qualitative analysis approach to analyse 20 interviews with the women survivors of GBV.ResultsOur study resulted in four factors that survivors used in their recovery process (social connection, self‐care, self‐understanding and spiritual connection).DiscussionRecovering from an abusive relationship is a social, spiritual, cultural and psychological process. Current study confirmed the positive impact of our identified enabling factors in the recovery process of GBV survivors.Implications for PracticeThe current study illustrates findings that provide a deeper understanding of the journey to recovery following GBV, which can be helpful when guiding and supporting women who have suffered GBV to start and pursue their journey toward recovery.