bluuebunny/crossref_metadata_2025_split huggingface dataset:
Temporomandibular Disorders in Dental Students ofIndia: Prevalence, Severity and Associated Factors
Authors: Jaiswal Esha , Deshpande Saee 
Published: February 2024

Background: Temporomandibular disorder (TMD) is a collective term embracing all the problems regarding the temporomandibular joint and related musculoskeletal structures. The literature shows wide-ranging variation in TMD prevalence and TMD symptoms in different populations. Various factors have been associated with TMDs and the relationship varies according to different researchers.
Aim: The aim of this study was to investigate prevalence and severity of TMD in dental students in India and assess their relationship with stress, parafunction, tooth wear, occlusion, dental history using Fonseca’s Index.
Results: in the studied population there was 38% prevalence with majority having mild TMD and it was more common in females. There was a significant relationship between stress, parafunction, occlusal interferences and TMD.
Conclusion: Early diagnosis, treatment and patient education is needed to prevent disease progression in this young population.

Keywords
Fonseca's anamnestic index, parafunction, stress, TMJ pain,Temporomandibular disorders
Minimizing acetate formation from overflow metabolism in Escherichia coli: comparison of genetic engineering strategies to improve robustness toward sugar gradients in large-scale fermentation processes
Authors: Gecse Greta , Labunskaite Rugile , Pedersen Margit , Kilstrup Mogens , Johanson Ted 
Published: February 2024

Introduction:Escherichia coli, a well characterized workhorse in biotechnology, has been used to produce many recombinant proteins and metabolites, but have a major drawback in its tendency to revert to overflow metabolism. This phenomenon occurs when excess sugar triggers the production of mainly acetate under aerobic conditions, a detrimental by-product that reduces carbon efficiency, increases cell maintenance, and ultimately inhibits growth. Although this can be prevented by controlled feeding of the sugar carbon source to limit its availability, gradients in commercial-scale bioreactors can still induce it in otherwise carbon-limited cells. While the underlying mechanisms have been extensively studied, these have mostly used non-limited cultures. In contrast, industrial production typically employs carbon-limited processes, which results in a substantially different cell physiology.Objective: The objective of this study was to evaluate and compare the efficiency of different metabolic engineering strategies with the aim to reduce overflow metabolism and increase the robustness of an industrial 2’-O-fucosyllactose producing strain under industrially relevant conditions.Methods: Three distinct metabolic engineering strategies were compared: i) alterations to pathways leading to and from acetate, ii) increased flux towards the tricarboxylic acid (TCA) cycle, and iii) reduced glucose uptake rate. The engineered strains were evaluated for growth, acetate formation, and product yield under non-limiting batch conditions, carbon limited fed-batch conditions, and after a glucose pulse in fed-batch mode.Results and Discussion: The findings demonstrated that blockage of the major acetate production pathways by deletion of the pta and poxB genes or increased carbon flux into the TCA cycle by overexpression of the gltA and deletion of the iclR genes, were efficient ways to reduce acetate accumulation. Surprisingly, a reduced glucose uptake rate did not reduce acetate formation despite it having previously been shown as a very effective strategy. Interestingly, overexpression of gltA was the most efficient way to reduce acetate accumulation in non-limited cultures, whereas disruption of the poxB and pta genes was more effective for carbon-limited cultures exposed to a sudden glucose shock. Strains from both strategies showed increased tolerance towards a glucose pulse during carbon-limited growth indicating feasible ways to engineer industrial E. coli strains with enhanced robustness.
Tuning the antimicrobial activity of microbial glycolipid biosurfactants through chemical modification
Authors: Pala Melike , Castelein Martijn G. , Dewaele Camille , Roelants Sophie L. K. W. , Soetaert Wim K. , Stevens Christian V. 
Published: February 2024

Sophorolipids, glycolipid biosurfactants derived from microorganisms such as Starmerella bombicola, possess distinctive surface-active and bioactive properties, holding potential applications in cosmetics, pharmaceuticals and bioremediation. However, the limited structural variability in wild-type sophorolipids restricts their properties and applications. To address this, metabolic engineering efforts have allowed to create a portfolio of molecules. In this study, we went one step further by chemically modifying microbially produced sophorosides, produced by an engineered S. bombicola. Twenty-four new sophoroside derivatives were synthesized, including sophoroside amines with varying alkyl chain lengths (ethyl to octadecyl) on the nitrogen atom and their corresponding quaternary ammonium salts. Additionally, six different microbially produced glycolipid biosurfactants were hydrogenated to achieve fully saturated lipid tails. These derivatives, along with microbially produced glycolipids and three benchmark biosurfactants (di-rhamnolipids, alkyl polyglucosides, cocamidopropyl betaine), were assessed for antimicrobial activity against bacteria (Bacillus subtilis, Staphylococcus aureus, Listeria monocytogenes, Escherichia coli, Pseudomonas aeruginosa) and yeast (Candida albicans). Results indicated that microbially produced glycolipids, such as bola sophorosides, acidic sophorolipids and acidic glucolipids exhibit selective antimicrobial activity against the test organisms. Conversely, lactonic sophorolipids, sophoroside amines and quaternary ammonium salts display a broad antimicrobial activity. N-octyl, N-dodecyl and N-octadecyl derivatives exhibit the lowest minimal inhibitory concentrations, ranging from 0.014 to 20.0 mg mL−1. This study demonstrates the potential synergy of thoughtful biotechnology and targeted chemistry to precisely tailor glycolipid biosurfactants to meet specific requirements across applications.
The role of social media literacy in infodemic management: a systematic review
Authors: Ziapour Arash , Malekzadeh Roya , Darabi Fatemeh , Yıldırım Murat , Montazeri Nafiseh , Kianipour Neda , Nejhaddadgar Nazila 
Published: February 2024

BackgroundThe term infodemic refers to the proliferation of both accurate and inaccurate information that creates a challenge in identifying trustworthy and credible sources. Among the strategies employed to mitigate the impact of the infodemic, social media literacy has emerged as a significant and effective approach. This systematic review examines the role of social media literacy in the management of the infodemic.MethodsSix databases, including SID, Magiran, Scopus, PubMed, Google Scholar and Web of Science were systematically searched using relevant keywords. We included the relevant publications between 2012 and 2023 in our analysis. To ensure a qualitative assessment of the studies, we used the STROBE and AMSTAR checklists as evaluation tools. The Preferred Reporting Items for Systematic Reviews (PRISMA) guideline was used for the design of this review study. Finally, we organized the studies into groups based on similarities and retrieved and analyzed evidence pertaining to the challenges and opportunities identified.ResultsEleven papers were included in this study after reviewing the retrieved studies. Five of them examined the effect of social media literacy and health literacy on acceptance of health behaviors. Four studies investigated the role of media literacy in managing misinformation and fake news related to health. Two studies focused on infodemic management and promoting citizen engagement during health crises. Results showed that health-related infodemics are derived from the users' lack of media knowledge, distrust of government service systems, local influencers and peers, rapid circulation of information through mass media messages, weakness of solutions proposed by health care providers, failure to pay attention to the needs of the audience, vertical management, and inconsistency of published messages.ConclusionThe findings of this study highlight the importance of increasing social media literacy among the general public as a recognized strategy for managing the infodemic. Consequently, it is recommended that relevant organizations and institutions, such as the Ministry of Health, develop targeted training programs to effectively address this need.
Automating untruths: ChatGPT, self-managed medication abortion, and the threat of misinformation in a post-Roe world
Authors: McMahon Hayley V. , McMahon Bryan D. 
Published: February 2024

BackgroundChatGPT is a generative artificial intelligence chatbot that uses natural language processing to understand and execute prompts in a human-like manner. While the chatbot has become popular as a source of information among the public, experts have expressed concerns about the number of false and misleading statements made by ChatGPT. Many people search online for information about self-managed medication abortion, which has become even more common following the overturning of Roe v. Wade. It is likely that ChatGPT is also being used as a source of this information; however, little is known about its accuracy.ObjectiveTo assess the accuracy of ChatGPT responses to common questions regarding self-managed abortion safety and the process of using abortion pills.MethodsWe prompted ChatGPT with 65 questions about self-managed medication abortion, which produced approximately 11,000 words of text. We qualitatively coded all data in MAXQDA and performed thematic analysis.ResultsChatGPT responses correctly described clinician-managed medication abortion as both safe and effective. In contrast, self-managed medication abortion was inaccurately described as dangerous and associated with an increase in the risk of complications, which was attributed to the lack of clinician supervision.ConclusionChatGPT repeatedly provided responses that overstated the risk of complications associated with self-managed medication abortion in ways that directly contradict the expansive body of evidence demonstrating that self-managed medication abortion is both safe and effective. The chatbot's tendency to perpetuate health misinformation and associated stigma regarding self-managed medication abortions poses a threat to public health and reproductive autonomy.
Spatial skills of preschool children from Serbia and a possible model for the typology of children’s spatial skills
Authors: Đokić Olivera J. , Vorkapić Marija M. 
Published: February 2024

IntroductionIn their study, the authors delve into the impact of preschool curriculum on the spatial abilities development of children. They specifically explore the significance of spatial understanding through Piaget’s primacy of topological concepts and the increasing emphasis on projective geometry. The research focuses on preschoolers in Serbia, aged 5.5–6.5, as they transition to primary school.MethodsThe study involves 103 children exposed to two distinct preschool curricula: The General Foundations of the Preschool Curriculum (GFPC) and The Foundations of the Preschool Curriculum – Years of Ascent (YA). Drawing on the typology of spatial tasks in the 2 × 2 matrix, the researchers conducted individual structured interviews comprising 8 tasks. These tasks were designed to assess children’s performance across four sub-domains: Intrinsic–Static, Extrinsic–Static, Intrinsic–Dynamic, and Extrinsic–Dynamic.ResultsThe findings reveal a general poor performance in solving spatial tasks among the children. Despite inconsistent results in the cognitive structures of spatial ability, the study indicates that the type of preschool program or gender does not significantly influence preschoolers’ spatial abilities in Serbia. Notably, differences were observed in the sub-domains of Static and Dynamic. However, the analysis suggests that the 2 × 2 model may not be an appropriate fit for the Serbian sample.DiscussionThe authors acknowledge the limitations of the 2 × 2 model and propose further exploration of alternative typologies to better characterize children’s spatial skills development in Serbia. They advocate for a model that accurately describes preschoolers’ spatial abilities and can inform curriculum creators in enriching mathematics education. The study underscores the importance of spatial reasoning for success in STEM fields, as supported by meta-analyses of children’s spatial abilities.
Case report: Uncovering hidden glucose patterns in medicated versus unmedicated bipolar disorder and comorbid type 1 diabetes mellitus
Authors: Breznoscakova Dagmar , Pallayova Maria 
Published: February 2024

IntroductionType 1 diabetes mellitus is characterized by an absolute insulin deficiency requiring the lifetime intensive insulin therapy accompanied by daily self-monitoring, self-management, ongoing education, and complex diabetes care. Regular patient-clinician shared therapeutic decisions based on age, sex, comorbidities, medications, predicted impact of meals, physical activity, stress, hormonal changes, insulin therapy, and patterns of glycemic changes are key for achieving glycemic targets. The impact of various phases of bipolar disorder and their treatment on continuous glucose levels remains unexplored and calls for future assessments.Case presentationThe present case reports a 41-year-old Caucasian female with an established diagnosis of bipolar II disorder and type 1 diabetes mellitus who discontinued long-term mood-stabilizing pharmacotherapy with quetiapine. Real-time continuous glucose monitoring performed before and 6-months following the discontinuation of quetiapine revealed hidden glucose patterns in medicated versus unmedicated bipolar disorder. Despite the known adverse metabolic effects of quetiapine, the continuous glucose monitoring captured more stable and near-normal continuous glucose values during the antipsychotic treatment compared to unmedicated stages of bipolar disorder with considerably higher glucose values and glucose variability.ConclusionThe case report highlights the importance of the ongoing psychopharmacotherapy of bipolar disorder in comorbid type 1 diabetes mellitus to reduce mood-induced reactivity, emotional urgency, and non-emotional impulsivity that may contribute to dysglycemia. If not effectively treated, the “bipolar diabetes” is likely to progress to multiple psychiatric and somatic complications. The bidirectional links between the phases of bipolar disorder and the corresponding continuous glucose patterns can help advance clinical decision-making and yield innovative1 research that can translate into efficacious clinical practice.
Seasonal changes in water-soluble brown carbon (BrC) at Nanling background station in South China
Authors: Zhang Bolong , Tang Jiao , Geng Xiaofei , Mo Yangzhi , Zhao Shizhen , Zhong Guangcai , Li Jun , Zhang Gan 
Published: February 2024

Brown carbon (BrC) is an important light-absorbing component of organic carbon (OC), causing large uncertainty in aerosol radiative forcing evaluation and being related to health issues as well. Knowledge of BrC in an atmospheric background station is beneficial to understand its role in a changing climate. A year-long sampling campaign was conducted at Nanling background station to get a comprehensive knowledge of WS-BrC, a total of seventy-two PM2.5 samples throughout a year were used. Light absorption and fluorescence spectra of WSOC were analyzed synchronously using a fluorescence spectrophotometer. The low levels of PM2.5, OC, and elemental carbon (EC) conferred a background site. The optical properties of WS-BrC were characterized using excitation-emission matrix (EEM) fluorescence spectroscopy. The WS-BrC made a significant contribution (365 nm, 18% ± 10%) to total carbonaceous aerosol absorption. The mass absorption efficiency (MAE) of WS-BrC is 0.81 ± 0.34 m2 gC–1, and varies among seasons due to the different sources or atmospheric processing. Three EEM fluorescent components were identified by parallel factor (PAFAFAC) analysis, including two humic-like substances (HULIS, C1, C2), and one phenolic-like component. The HULIS components accounted for approximately 70% of the total fluorescence intensities. Primary combustion emissions showed enhanced activity during the winter and spring seasons, but there were no significant influences on WS-BrC in spring. Secondary sources contributed significantly to WS-BrC during winter, summer, and autumn (all exceeding 50%), except for spring. Photooxidation is a significant process in the formation of secondary WS-BrC in winter and autumn, but there may be another formation pathway in summer, i.e., the ammonia pathway. This study contributes to our understanding of BrC in the background atmosphere.
QTL-seq analysis identified the genomic regions of plant height and days to heading in high-latitude rice
Authors: Wang Rongsheng , Li Kun , Zhang Wei , Liu Hui , Tao Yongqing , Liu Yuming , Ding Guohua , Yang Guang , Zhou Yuanhang , Wang Jiayou , Wu Licheng , Liu Baohai , Mu Fengchen 
Published: February 2024

Introduction: Rice (Oryza sativa L.) is one of the most extensive crops in the world. China’s Heilongjiang Province is the northernmost rice-growing region in the world. However, rice cultivars suitable for growth in low-latitude regions may not mature normally due to their distinct climate and short frost-free period. It is necessary to precisely determine the frost-free period for each region to make the best use of the rice growth stage so as to ensure the maturity and yield of different rice cultivars in Heilongjiang Province. The time span of the heading stage is a key parameter for evaluating the adaptability of a rice cultivar to a specific rice-growing region. Given the above facts, it is of high importance to study the associated genes and sites controlling days to heading (DH) and plant height (PH) of rice in Heilongjiang Province. Bulked segregant analysis (BSA) combined with high-throughput sequencing can effectively exclude interferences from background genomic differences, making it suitable for analyzing the associated sites of complex agronomic traits in early generations.Methods: In this study, an F3 segregating population was obtained by crossing two main cultivars that are grown under different temperatures and day-light conditions in Heilongjiang. Two pools of extreme phenotypes were built for the DH and PH of the population. For SNP and InDel variants obtained from whole-genome resequencing in the pools, an association analysis was performed using the Euclidean distance (ED) algorithm and the SNP/InDel index algorithm.Results: The intersection of SNP and InDel regions associated with the phenotypes was considered to obtain the final associated sites. After excluding interferences from the cloned genes on chromosomes 2 and 7, a total length of 6.34 Mb on chromosomes 1, 3, and 10 and 3.16 Mb on chromosomes 1 and 10 were left associated with PH and DH, respectively. Then, we performed a gene annotation analysis for candidate genes in the remaining regions using multiple genome annotation databases. Our research provides basic data for subsequent gene mapping and cloning.Discussion: By mining more genetic loci associated with the days to heading and plant height of rice, we may provide abundant genetic resources for refined molecular breeding in Heilongjiang Province.
Ruminal microbiota and muscle metabolome characteristics of Tibetan plateau yaks fed different dietary protein levels
Authors: Pang Kaiyue , Wang Jianmei , Chai Shatuo , Yang Yingkui , Wang Xun , Liu Shujie , Ding Cheng , Wang ShuXiang 
Published: February 2024

IntroductionThe dietary protein level plays a crucial role in maintaining the equilibrium of rumen microbiota in yaks. To explore the association between dietary protein levels, rumen microbiota, and muscle metabolites, we examined the rumen microbiome and muscle metabolome characteristics in yaks subjected to varying dietary protein levels.MethodsIn this study, 36 yaks were randomly assigned to three groups (n = 12 per group): low dietary protein group (LP, 12% protein concentration), medium dietary protein group (MP, 14% protein concentration), and high dietary protein group (HP, 16% protein concentration).Results16S rDNA sequencing revealed that the HP group exhibited the highest Chao1 and Observed_species indices, while the LP group demonstrated the lowest. Shannon and Simpson indices were significantly elevated in the MP group relative to the LP group (P &lt; 0.05). At the genus level, the relative abundance of Christensenellaceae_R-7_group in the HP group was notably greater than that in the LP and MP groups (P &lt; 0.05). Conversely, the relative abundance of Rikenellaceae_RC9_gut_group displayed an increasing tendency with escalating feed protein levels. Muscle metabolism analysis revealed that the content of the metabolite Uric acid was significantly higher in the LP group compared to the MP group (P &lt; 0.05). The content of the metabolite L-(+)-Arabinose was significantly increased in the MP group compared to the HP group (P &lt; 0.05), while the content of D-(-)-Glutamine and L-arginine was significantly reduced in the LP group (P &lt; 0.05). The levels of metabolites 13-HPODE, Decanoylcarnitine, Lauric acid, L-(+)-Arabinose, and Uric acid were significantly elevated in the LP group relative to the HP group (P &lt; 0.05). Furthermore, our observations disclosed correlations between rumen microbes and muscle metabolites. The relative abundance of NK4A214_group was negatively correlated with Orlistat concentration; the relative abundance of Christensenellaceae_R-7_group was positively correlated with D-(-)-Glutamine and L-arginine concentrations.DiscussionOur findings offer a foundation for comprehending the rumen microbiome of yaks subjected to different dietary protein levels and the intimately associated metabolic pathways of the yak muscle metabolome. Elucidating the rumen microbiome and muscle metabolome of yaks may facilitate the determination of dietary protein levels.