bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pipevine Swallowtail, Blue Swallowtail Battus philenor (Linnaeus 1771) (Insecta: Lepidoptera: Papilionidae: Papilioninae: Troidini)
Authors: Hall Donald W. 
Published: February 2025

This document provides an in-depth profile of the pipevine swallowtail butterfly, Battus philenor. It covers the butterfly’s nomenclature, distribution, physical description, life cycle, host plants, natural enemies, and defenses. The article also discusses the butterfly’s mimicry, pollination biology, and the ecological significance of its interactions with host plants and predators. The information is intended for both laypersons with some biological knowledge and academic audiences.
Fraud detection mediation: Personality auditor and forensic accounting on audit quality
Authors: Janrosl Viola Syukrina E , Muda Iskandar , Sadalia Isfenti , Nasution Abdillah Arif , Erlina  
Published: February 2025

This research aims to examine the influence of forensic accounting understanding and auditor personality type on audit quality through fraud detection with the support of the auditee organization as a moderating variable. The object of this research is the Indonesian Supreme Audit Agency, with research subjects being auditors at the head office and representatives of the Indonesian Financial Audit Agency, totaling 4,416 auditors. This research employs the Sequential Explanatory Mixed Method methodology, which integrates elements of both qualitative and quantitative research approaches into a single study. The results of this research indicate that the auditor's personality (agreeableness and conscientiousness) and fraud detection have a significant effect on audit quality. Fraud detection is able to mediate the influence of the auditor's personality, openness to experience, and understanding of forensic accounting on audit quality. The auditor's openness to experience significantly influences audit quality through fraud detection. Understanding forensic accounting has a significant effect on audit quality through fraud detection. Organizational support enhances the impact of auditor agreement and conscientiousness on audit quality. The impact of auditors' forensic accounting knowledge on audit quality is not heightened by the auditee's organizational support. The practical implications of this research offer valuable insights and contributions to auditors at Badan Pemeriksa Keuangan (BPK), aiming to enhance the personality traits of extraversion, agreeableness, conscientiousness, and openness to experience, thereby enhancing audit quality. Conscientiousness, openness to experience, and extraversion personality types can detect fraud.
New Prospect Delineation at Shallower Depth in a Producing Gas Field of Bangladesh Using 3D Seismic and Wireline Log Data
Authors: Lupin Janifar Hakim , Kabir SM Mainul , Rahman Md Mostafizur , Akhter Syed Humayun , Imam Badrul 
Published: February 2025

The Chittagong-Comilla-Sylhet regions of the Chittagong-Tripura Fold Belt host most of the gas fields in Bangladesh, primarily within the anticlinal structures. The Tertiary Bhuban and Boka Bil formations are the key hydrocarbon-bearing zones where hydrocarbon has been encountered at depths ranging from 1000 to 4000 m in various producing gas fields. The study aims to analyze the hydrocarbon prospects in the shallower stratigraphic successions, particularly the upper part of the Boka Bil Formation in a commercial gas field in Bangladesh where gas is being extracted from depths of 3000–4000 m. Utilizing 3D seismic and wireline log data, we assessed the shallower prospective zones above the conventional producing depth, extending up to 2000 m, which have not yet been explored for hydrocarbon potential in the field. In the study, a classical interpretation approach, precise horizon mapping, and application of various seismic attribute analysis techniques are used to highlight amplitude anomalies indicative of gas accumulation. Results suggest the existence of a new gas-bearing zone at with an estimated resource potential of approximately 23.75 billion cubic feet (BCF). Correlating the new prospective zone with the similar geologic features (channel bounded strata showing higher reflection) observed in deeper producing zone of the field enhances the confidence of our findings. This study may open new prospecting avenues for exploration in the studied field as well as the adjacent fields.
The Dhaka University Journal of Earth and Environmental Sciences, Vol. 13(2), 2024, P 1-16
THE MORPHOSYNTAX OF CAUSATIVE CONSTRUCTION IN DAWAN LANGUAGE
Authors: Benu Naniana N. , Daar Gabriel Fredi 
Published: February 2025

In order to understand the structure, procedure, and causative marking of the Dawan language, this paper addresses causative construction in the Dawan language. Since the writer is a native speaker of the language, the primary data from the field study was corroborated by written materials like the bible in the Dawan language as well as by intuitive data. The elicitation technique combined the two sets of data to obtain valid data. The outcome demonstrates four distinct forms of causative construction: affixation, complex sentences, verb serialisation, and the addition of a causer argument. The transitive form, derived from an intransitive clause, adds the causer argument. S is transferred to the O function, and a causer argument is added to the A function. The conjunction natuin or fun indicates causative marking in a complex sentence. This study considers the Dawan language's causative verb serialisation the most fruitful construction. There are two types of this construction: causative serialisation and cause-effect serialisation. In the first type, V1 is an action verb with the lexical meaning "causative," V2 is the outcome (effect) of what V1 has done. In contrast to the first, the causative verbs moe/mo'e "make" and eik "bring" occupy V1 in causative serialisation, while the outcome of the action in V1 occupies V2. The final method is causative construction by affixation, or the morphological process.
Differential effects of high-fat diet on salivary and gut microbiota
Authors: Bai Jingxuan , Tian Yixue , Lu Yujia , Chen Yuke , Yu Min , Gao Xuemei 
Published: February 2025

ObjectivesMicroorganisms contribute to the pathogenesis of obesity, while more studies focus on gut microbiome. However, the relationship between oral microbiota and obesity has yet to be elucidated. This study was designed to investigate the similarities and differences in the effects of a high-fat diet on salivary and gut microbiota through mouse experiments, exploring the hypothesis that oral microbial mechanisms may contribute to obesity.MethodsAn obese mouse model was established in male C57BL/6J mice by feeding a high-fat diet, confirmed by body weight records and blood glucose tests. This study evaluated the physiological effects of the high-fat diet on mice. 16S rRNA sequencing technology was used to analyze changes in salivary and gut microbiota, and gas chromatography-mass spectrometry was employed to evaluate 17 short-chain and medium-chain fatty acids quantitatively.ResultsThe microbiota distribution in salivary was different between the high-fat diet (HFD) and normal chow diet (NCD) groups. At the genus level of salivary microbiota, Streptococcus and Escherichia were highly abundant in the HFD group. Rodentibacter and Turicibacter were more abundant in the NCD group. Regarding the gut microbiome, the diversity changes of gut microbiota are more significant than those of salivary microbiota. The HFD group had a significantly higher abundance of Kineothrix, Cryptobacteroides, and a lower abundance of CAG-485. Nine genera had consistent alterations in salivary and gut microbiota, among which Akkermansia, Lactobacillus, and Intestinimonas were significantly correlated with physiological indicators, and Muribaculum was significantly correlated with increased decanoic acid levels in the HFD group. The dysregulated nine genera were associated with significant upregulation of certain metabolic pathways of the HFD group, including the pentose phosphate, bacterial invasion of epithelial cells, and steroid biosynthesis pathways.ConclusionsThere are differences and similarities in the effects of HFD on salivary and gut microbiota. Certain genera of the oral-gut axis altered consistently by HFD may affect obesity through mechanisms involving metabolic pathways and inflammation.
Diagnostic accuracy of artificial intelligence models in detecting congenital heart disease in the second-trimester fetus through prenatal cardiac screening: a systematic review and meta-analysis
Authors: Liastuti Lies Dina , Nursakina Yosilia 
Published: February 2025

BackgroundCongenital heart disease (CHD) is a major contributor to morbidity and infant mortality and imposes the highest burden on global healthcare costs. Early diagnosis and prompt treatment of CHD contribute to enhanced neonatal outcomes and survival rates; however, there is a shortage of proficient examiners in remote regions. Artificial intelligence (AI)-powered ultrasound provides a potential solution to improve the diagnostic accuracy of fetal CHD screening.MethodsA literature search was conducted across seven databases for systematic review. Articles were retrieved based on PRISMA Flow 2020 and inclusion and exclusion criteria. Eligible diagnostic data were further meta-analyzed, and the risk of bias was tested using Quality Assessment of Diagnostic Accuracy Studies—Artificial Intelligence.FindingsA total of 374 studies were screened for eligibility, but only 9 studies were included. Most studies utilized deep learning models using either ultrasound or echocardiographic images. Overall, the AI models performed exceptionally well in accurately identifying normal and abnormal ultrasound images. A meta-analysis of these nine studies on CHD diagnosis resulted in a pooled sensitivity of 0.89 (0.81–0.94), a specificity of 0.91 (0.87–0.94), and an area under the curve of 0.952 using a random-effects model.ConclusionAlthough several limitations must be addressed before AI models can be implemented in clinical practice, AI has shown promising results in CHD diagnosis. Nevertheless, prospective studies with bigger datasets and more inclusive populations are needed to compare AI algorithms to conventional methods.Systematic Review Registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023461738, PROSPERO (CRD42023461738).
Neutrophil extracellular traps and macrophage activation contibute to thrombosis and post-covid syndrome in SARS-CoV-2 infection
Authors: Serrano-Gonzalo Irene , Menéndez-Jandula Bárbara , Franco-García Esther , Arévalo-Vargas Isidro , Lahoz-Gil Calos , Latre Paz , Roca-Esteve Sonia , Köhler Ralf , López de Frutos Laura , Giraldo Pilar 
Published: February 2025

BackgroundSARS-CoV-2 infection activates macrophages and induces the release of neutrophil extracellular traps (NETs). Excess NETs is linked to inflammatory and thrombotic complications observed in COVID-19.AimTo explore the impact of NETs and macrophage activation on SARS-CoV-2-infected patients who developed complications.MethodsWe included 30 patients from the first (March 2020) and 30 from the second wave (July 2021), collecting two plasma samples at diagnosis and seven days later. Data on demographics, comorbidities, and basic analytical data were compiled. NETs markers (myeloperoxidase (MPO), neutrophil elastase (NE), p-selectin (P-SEL) and S100A8/S100A9 heterodimer (MRP)) and macrophage activation markers (Chitotriosidase activity (ChT), CCL18/PARC and YKL-40) were measured.ResultsThe first wave had higher incidences of post-COVID syndrome, ICU admissions, and mortality. Patients of each wave showed elevated blood cells, liver enzymes, and coagulation markers at the time of diagnosis, with fibrinogen and D-Dimer differing between waves. NET and macrophage markers, NE, MPO, MRP, DNAse, ChT, and CCL18 were elevated, while P-SEL, cfDNA, and YKL-40 were decreased if compared to controls. A decrease in NE and DNAse is a link to lower levels of these two markers in complications versus without complications.ConclusionsThis study emonstrates alterations in NETs and macrophage activation markers in COVID-19 patients, indicating an imbalance in inflammatory response regulation.
Identification and functional characterization of T-cell exhaustion-associated lncRNA AL031775.1 in osteosarcoma: a novel therapeutic target
Authors: Wang Yameng , Yuan Jinghong , Guo Keying , Zhang Zhuoer , Zhu Junchao , Arya Shahrzad , Huang Guowen , Li Shengqin , Chen Qi , Liu Xijuan , Jia Jingyu 
Published: February 2025

BackgroundOsteosarcoma, an aggressive bone malignancy predominantly affecting children and adolescents, presents significant therapeutic challenges with a 5-year survival rate below 30% in metastatic cases. T-cell exhaustion, characterized by the overexpression of immune checkpoint molecules, contributes to osteosarcoma progression and immune evasion. Although targeting these inhibitory pathways has shown potential in restoring T-cell activity, the molecular regulators of T-cell depletion in osteosarcoma are poorly understood.MethodsThis study employed comprehensive bioinformatics analyses on osteosarcoma samples from the TARGET database, combined with normal tissue data from the GTEx database, to identify T-cell exhaustion-associated genes and their co-expressed long non-coding RNAs (lncRNAs). Gene ontology and KEGG pathway analyses were used to elucidate immune-related pathway enrichments. A six-lncRNA prognostic model was established using LASSO regression and validated in separate cohorts. Functional assays evaluated the impact of the lncRNA AL031775.1 on osteosarcoma cell behavior and T-cell function.ResultsTwenty-four key T-cell exhaustion-related genes were identified and significantly enriched in immune-related pathways, indicating their importance in the osteosarcoma immune microenvironment. The constructed six-lncRNA model stratified patients by survival prognosis, showing robust predictive performance across cohorts. Among the six identified lncRNAs, AL031775.1 is notably downregulated in osteosarcoma patients and significantly promotes osteosarcoma cell proliferation, migration, and invasion while contributing to T-cell exhaustion. In T cells, downregulation of AL031775.1 impairs antitumor immunity, upregulates immune checkpoint molecules LAG3, PD1, and CTLA4, and diminishes T-cell cytotoxic activity against tumor cells.ConclusionThis study identifies a novel six-lncRNA prognostic model and highlights the therapeutic potential of AL031775.1 in managing osteosarcoma by enhancing T-cell immunity and counteracting tumor progression. Targeting AL031775.1 represents a promising approach to improve immunotherapy efficacy in osteosarcoma. These findings provide critical insights into the molecular regulation of T-cell exhaustion and suggest a new avenue for therapeutic intervention.
Endometrial immune profiling and precision therapy increase live birth rate after embryo transfer: a randomised controlled trial
Authors: Lédée Nathalie , Petitbarat Marie , Dray Geraldine , Chevrier Lucie , Kazhalawi Alaa , Rahmati Mona , Vicaut Eric , Diallo Abdourahmane , Cassuto Nino Guy , Ruoso Lea , Prat-Ellenberg Laura 
Published: February 2025

IntroductionDespite advancements in assisted reproductive treatments, 70% of transferred embryos fail to implant successfully, yielding significant personal and global repercussions. One promising avenue of research is to take into account the individual’s immune uterine profile in order to tailor treatment and optimise outcomes. This randomised controlled trial represents the initial exploration into the consequences of disregarding the state of the uterine immune environment in infertile women embarking on IVF/ICSI.Materials and methodsThis randomised controlled open two-arm trial included IVF patients, with assessment of immune endometrial environment and precision therapy before embryo transfer (ET). 493 patients were enrolled from October 2015 to February2023. Endometrial biopsies were collected during the mid-luteal phase. Endometrial immune profiling involves the analysis of cytokine biomarkers in the endometrium. If an immune endometrial dysregulation was diagnosed, a computerised randomisation assigned patients to either a conventional ET (disregarding the immune profile) or a personalised ET (with a precision therapy adapted to the immune profile). The primary analysis focussed on demonstrating the superiority of precision treatments using the modified intent-to-treat population (mITT), excluding patients without ET. The primary endpoint was the live birth rate (LBR) following the first attempt of ET.ResultsAmong the population, 78% had an endometrial immune dysregulation and were randomised. The mITT analysis showed a significant increase in LBR with precision care compared to conventional care (29.7% vs. 41.4%; OR: 1.68 [1.04-2.73], p=0.036). The positive impact of precision care was particularly noticeable in patients with morphologically suboptimal embryos (LBR: 21.2% vs. 39.6%; OR: 2.12 [1.02-4.41]) or those with a history of two or more failed ET (LBR: 23.4% vs. 48.1%; OR: 3.03 [1.17-7.85]).Limitations and reasons for cautionThe data should be interpreted with caution due to inherent structural limitations of human IVF trials. Generalising and empowering our findings would rely on the replication of controlled trials by independent research teams possibly integrating the usage of optimised embryo quality with PGT-A.ConclusionThe regulation of the endometrial immune environment emerges as one of the leading innovative strategies to facilitate embryo implantation and enhance the overall performance of assisted reproductive therapies (ART). Based on these findings, endometrial immune profiling could become an essential part of routine ART practice.Clinical trial registrationclinicaltrials.gov, identifier NCT02262117.
Exercise boost after surgery improves survival in model of metastatic breast cancer
Authors: Stagaard Rikke , Jensen Adina , Schauer Tim , Bay Marie Lund , Tavanez Ana Rita , Wielsøe Sabrina , Peletier Merel , Strøbech Jan Erik , Oria Victor Oginga , Zornhagen Kamilla Westarp , Albrechtsen Reidar , Christensen Jesper Frank , Erler Janine Terra 
Published: February 2025

IntroductionDespite advances in breast cancer diagnosis and treatment of the primary tumor, metastatic breast cancer tumors remain largely incurable, and their growth is responsible for the majority of breast cancer-related deaths. There is therefore a critical need to identify ways to reduce metastatic tumor burden and increase breast cancer patient survival. While surgery and pharmacological treatments are the cornerstones of breast cancer intervention, epidemiological data suggests that physical activity can lower the risk of breast cancer development, improve adjuvant treatment tolerance, reduce the risk of disease recurrence and lower breast cancer-related death.MethodsIn this preclinical study, we set out to examine the impact of exercise on metastatic development in triple negative breast cancer (TNBC), using different 4T1 metastasis models, voluntary wheel running and surgical interventions. Tumors were analyzed for hypoxia and immune cell infiltration.ResultsVoluntary wheel running was observed to significantly increase metastasis-free survival, doubling the median survival time. However, these improvements were only observed when a boost in physical exercise occurred following surgery. To investigate this, we performed mock surgeries and confirmed surgical stress was needed to enable the positive effects of the boost in exercise on reducing metastatic tumor burden in mice with either spontaneous metastasis or experimentally-induced metastasis. These changes occurred in the absence of alterations in tumor growth, hypoxia and immune cell infiltration.DiscussionTaken together, our results suggest that having a boost of physical activity following surgery may be beneficial to delay breast cancer metastatic development.
Unveiling SSR4: a promising biomarker in esophageal squamous cell carcinoma
Authors: Zhang Jiaqi , Jia Fang , Li Chuqiao , Song Shunzhe , Gong Aixia 
Published: February 2025

BackgroundEsophageal squamous cell carcinoma (ESCC) represents a frequent cancer with a poor prognosis. Altered glucose metabolism contributes factor to ESCC progression. In our previous study, signal sequence receptor subunit delta (SSR4) was included in an ESCC prognostic model; however, the mechanisms underlying SSR4 implication in ESCC remain ambiguous. Accordingly, we aim to determine the interconnection between SSR4 expression and clinical characteristics of ESCC.MethodsThis differential expression and prognostic significance of SSR4 was performed using bulk RNA-seq data and 110 patients with complete follow-up information. The ESCC cell subsets with the highest gene expression levels were identified with single-cell data. Gene function and enrichment, immune infiltration, cell communication, and molecular docking analyses were performed.ResultsUnlike adjacent non-cancerous tissues, SSR4 was overexpressed in ESCC tissues, validated by both reverse transcription-qPCR and IHC staining. SSR4 expression was related to the N stage, lymph node metastasis, and AJCC TNM classification stage. Patients exhibiting low SSR4 expression had a more favorable prognosis. The highest SSR4 expression was recognized in tumor plasma cells. Continued exploration of immune infiltration highlighted a close association between SSR4 gene expression and the infiltration of immune cells such as plasma cells. On dividing cells into SSR4-positive and -negative groups, CellChat analysis indicated that SSR4 may regulate the interactions that existed between ESCC tumor plasma cells and the tumor microenvironment (TME) by modulating the MIF/CD74/CXCR4 axis.ConclusionThe SSR4 gene may have significant relevance with clinical pathological factors, and play a critical role in the regulation of tumor microenvironment of ESCC patients. Overall, SSR4 may be a promising ESCC biomarker with prospective applicability in clinical diagnosis as well as the development of targeted treatment approaches in patients of ESCC.