bluuebunny/crossref_metadata_2025_split huggingface dataset:
WITHDRAWN: Site-specific assessment of radiographic interdental bone loss as proposed in the recent classification of periodontal diseases: Potential impact of location, severity, and clinical training
Authors: Bulut Selcen Ozcan , Akcicek Gokcen , Ileri Tulin , Karabulut Erdem , Uysal Serdar , Keceli Huseyin Gencay , Tarhan Nermin 
Published: November 2023

Abstract
Aim
To site-specifically assess the extent of IBL, as proposed in recent classification of periodontal diseases, from ortopantomographs (OPGs) in a site-specific manner and to analyze the potential impact of location and the course of dental education on the interpretation of IBL and the level of agreement.
Methods
IBL% was measured by 4th term (T4) (n = 5), 5th term (T5) (n = 5) dental students and post-graduate (PG) (n = 5) examiners from a total of 5907 anterior and 4678 posterior sites in the OPGs. IBL% was evaluated from mesial and distal aspects of the index teeth (#11, #21, #31, #41, #16, #26, #36 and #46) according to the following scale; 0: no IBL, 1: IBL = < 15%, 2: IBL = 15–33%, 3: IBL > 33%. The level of agreement among researchers was analyzed by using Kappa coefficient and McNemar-Bowker test.
Results
The total agreement of all examiners was substantial (κ = 0.79, p < 0.001) and PG examiners showed almost perfect intra-group agreement (κ = 0.93, p < 0.001). The agreement between T4 and T5 was slight (κ = 0.19, p < 0.001), whereas PG and the other two groups showed fair inter-group agreement (κ = 0.32 and 0.25, respectively; p < 0.001. Although the highest agreement was found in the lower posterior (κ = 0.81), lower anterior κ = 0.80 and upper anterior and upper posterior κ = 0.75. The agreement in Stage III-IV was higher than in Stage I.
Conclusion
Considering the experience level of the examiner, OPG is a useful tool in IBL% measurement for periodontal evaluation but it seems that the findings in the anterior region should be confirmed with intraoral radiographs.
Using bore-hole electrical resistivity tomography to monitor the working face roof water infiltration
Authors: du liang , Zhu Wenjin , Wang Lei , Li Hao , Jiao Xiaoyu , Qin Teng 
Published: November 2023

Abstract
Roof water inrush in coal mining is a significant type of water-related disaster, usually resulting from the interconnection of water-bearing geological formations formed by cracks during and after working face mining. Therefore, monitoring the roof water infiltration is of paramount importance in preventing or mitigating water inrush incidents in the working face. This study employs the borehole resistivity tomography imaging method to conduct physical experiments for water seepage monitoring in the roof cracks generated during coal model mining. Additionally, roof monitoring was performed in the 7130 working face of Qidong Coal Mine. The results of both physical experiments and field tests demonstrate that borehole resistivity tomography is well-suited for monitoring water infiltration in the roof of the working face, enabling determination of the temporal and spatial distribution of water seepage. By analyzing the variation patterns of low-resistivity anomalies in the resistivity profile, the water-bearing zones can be delineated, and the water-conducting channels and water outflow points can be identified. Furthermore, by combining the size of the water-bearing zones, a qualitative assessment of the water content can be achieved.
Inhibition of the galactosyltransferase C1GALT1 reduces osteosarcoma cell proliferation by interfering with ERK signaling and cell cycle progression
Authors: Takita Junko , Watanabe Kentaro , Tasaka Keiji , Ogata Hideto , Kato Shota , Ueno Hiroo , Umeda Katsutsugu , Isobe Tomoya , Kubota Yasuo , Sekiguchi Masahiro , Kimura Shunsuke , Sato-Otsubo Aiko , Hiwatari Mitsuteru , Ushiku Tetsuo , Kato Motohiro , Oka Akira , Miyano Satoru , Ogawa Seishi 
Published: November 2023

Abstract
Novel therapeutic strategies are urgently required for osteosarcoma, given the early age at onset and persistently high mortality rate. Modern transcriptomics techniques can identify differentially expressed genes (DEGs) that may serve as biomarkers and therapeutic targets, so we screened for DEGs in osteosarcoma. We found that osteosarcoma cases could be divided into fair and poor survival groups based on gene expression profiles. Among the genes upregulated in the poor survival group, siRNA-mediated knockdown of the glycosylation-related gene C1GALT1 suppressed osteosarcoma cell proliferation in culture. Gene expression, phosphorylation, and glycome array analyses also demonstrated that C1GALT1 is required to maintain ERK signaling and cell cycle progression. Moreover, the C1GALT1 inhibitor itraconazole suppressed osteosarcoma cell proliferation in culture, while doxycycline-induced shRNA-mediated knockdown reduced xenograft osteosarcoma growth in mice. Elevated C1GALT1 expression is a potential early predictor of poor prognosis, while pharmacological inhibition may be a feasible treatment strategy for osteosarcoma.
Prevalence of malnutrition and chronic energy deficiency among Dokra artisans: First report from Bankura district, West Bengal, India
Authors: Mahanty Subhajit , Bhuin Abhijit , Namata Bakul , Karmakar Ajoy , Chakrabortty Keshab , Samanta Sudisha , Mallick Supriti , Sow Rohan , Majumder Mousumi , Majumder Surajit 
Published: November 2023

Abstract

Malnutrition is a critical global public health issue that especially affects vulnerable communities. In India, traditional artisans, such as Dokra artisans in the Bankura district of West Bengal, are disproportionately impacted. This study was conducted to assess malnutrition and chronic energy deficiency (CED) among Dokra artisans across diverse age groups. Demographic and socioeconomic data were rigorously collected, while anthropometric parameters were calculated using established formulas. CED served as the key malnutrition indicator. Data analysis employed MINITAB 21 and SPSS 25, with continuous variables analysed via Student’s t test or ANOVA, and categorical variables assessed using the chi-square test. Significance (p < 0.05) prompted Dunnet's post hoc test for specific mean comparisons. The participation of 122 artisans spanning age groups revealed significant distinctions in nutritional status (χ2 = 42.096; p < 0.001). CED prevalence was higher in males (48.1%) than in females (44.1%). An association between education levels and socioeconomic status was evident (χ2 = 18.509; p < 0.005). Standard questionnaires identified a range of occupational health challenges. This study underscores the gravity of malnutrition among Dokra artisans, calling for targeted health education initiatives within this demographic to address this formidable public health concern in India. Public health interventions should transcend nutritional improvement and extend to marginalized and vulnerable populations throughout India.
Effect of ultrasonic attenuation characteristics on forming accuracy of ribbed cylindrical parts in ultrasonic-assisted spinning process
Authors: Li Shuangli , Zhu Zhengwu , Zhao Yixi , Yu Zhongqi 
Published: November 2023

Abstract

Ultrasonic-assisted forming process is one of the important methods to improve the formability of materials because of its acoustic softening effect and antifriction effect. After the introduction of ultrasonic, the forming accuracy of the inner ribs is improved in the spinning process of ribbed cylindrical parts, but the effect law of ultrasonic energy on the forming of inner ribs have not been clarified in detail. In this paper, a modeling method of ultrasonic-assisted spinning was proposed, which was taken into account the attenuation characteristics of ultrasonic energy in solid media for the improvement of the simulation accuracy. The corresponding simulation model was established to explore the effect law of ultrasonic amplitude on the forming accuracy of inner ribs. The results showed that the forming height and surface morphology of longitudinal ribs can be improved effectively in the ultrasonic-assisted spinning process. With the increase of ultrasonic amplitude, the forming height of longitudinal rib gradually increased, but the increase degree gradually slowed down, and the surface morphology of the longitudinal ribs always present the geometric characteristics that the screw-in end is higher than the screw-out end. The reason is that the application of ultrasonic vibration promoted the radial and circumferential flow of the material, and improved the material filling ability into the rib groove. The combined effect of ultrasonic softening effect and anti-friction effect reduced the radial filling difference between the screw-in end and the screw-out end of the ribs. Ultrasound could enhance the material flow but did not significant change the forming distribution characteristics of the ribs, resulting in limited rib height and uneven surface morphology. Also, the energy field gradient design method along the sheet thickness was proposed to further improve the forming accuracy of the inner ribs.
Evaluation of the performance of satellite products and microphysical schemes with the aim of forecasting early flood warnings in arid and semi-arid regions (a case study of northeastern Iran)
Authors: Sarvestan Rasoul , Barati Reza , Shamsipour Aliakbar , Khazaei Sahar , Kleidorfer Manfred 
Published: November 2023

Abstract
Flood early warning requires rainfall data with a high temporal and spatial resolution for flood risk analysis to simulate flood dynamics in all small and large basins. However, such high-quality data are still very scarce in many developing countries. In this research, in order to identify the best and most up-to-date rainfall estimation tools for early flood forecasting in arid and semi-arid regions, the northeastern region of Iran with 17 meteorological stations and four rainfall events was investigated. The rainfall products of satellites (PERSIANN-CDR and GSMaP, ERA5, GPM CHIRPS) along with the most widely used microphysical schemes of Weather Research and Forecasting (WRF) model (Purdue-Lin (Lin), WRF Single-Moment class 3, 6 (WSM3, WSM6), and WRF Double-Moment class 6 (WDM6). were used for rainfall modeling. The efficiency of each of these models to forecasting the amount of rainfall was verified by four methods: Threat Scores (TS), False Alarm Ratio (FAR), Hit Rate (H), and False Alarm (F). Analysis of research findings showed that the WRF meteorological model has better accuracy in rainfall modeling for the next 24 hours. In this model, Lin's microphysical scheme has the highest accuracy, and its threat score (TS) quantity is up to 98% efficient in some stations. The best accuracy of satellite products for estimating the amount of rainfall is up to 50%. This accuracy value is related to the satellite product (ERA5). In this method, an 18 km distance from the ground station is the best distance for setting up the space station, which is used for input to hydrological/hydraulic models. Based on the results of this research, by using the connection of the WRF model with hydrology/hydraulic models, it is possible to predict and simulate rainfall-runoff up to 72 hours before its occurrence. Also, by using these space stations, the amount of rainfall is estimated for the entire area of the basin and an early flood warning is issued.
Causal relationship between intracranial aneurysms and COVID-19: A bidirectional two-sample Mendelian randomization study
Authors: Liu Zheng , Zhu Huaxin , Li Meihua 
Published: November 2023

Abstract
Background: The aim of this study was to assess the association of any (ruptured or unruptured) intracranial aneurysms (IAs) and aneurysmal subarachnoid haemorrhage (aSAH) with the risk of COVID-19 (susceptibility, hospitalisation rate and very severe respiratory disease) .
Method: We collected the genome-wide association statistics of IAs (sample size, n=79,429) and COVID-19 (n=1,683,768). We conducted bi-directional two-sample Mendelian randomization (MR) analyses, of which the inverse-variance-weighted(IVW) method was the primary method to estimate the causal effects between COVID-19 and IAs.
Results: Genetically predicted aSAH was associated with the risk of COVID-19 very severe respiratory disease (OR(95%CI): 0.84(0.73-0.97), P=0.015), and COVID-19 very severe respiratory disease was positively associated with risk of IAs (OR(95%CI):1.18(1.02-1.36), P=0.025).
Conclusion: This Mendelian randomization study suggests that COVID-19 very severe respiratory disease may promote the development of IAs, while aSAH may have a potential preventive effect on COVID-19 very severe respiratory disease.
Radiology Residents' and Radiologists' Perception and Attitude Towards Medical Artificial Intelligence in Radiology– An Initial National Multicenter Survey
Authors: Menur Fuad , Abraham Yodit , Sisay Samuel , Zewdneh Daniel , Abate Kumlachew 
Published: November 2023

Abstract

Introduction : Recent advances in artificial intelligence and machine learning (AI/ML) are transforming radiology practices. While AI/ML innovations present opportunities to augment radiologists' capabilities, some have expressed concerns about AI/ML potentially replacing radiologists in the future. These uncertainties have led to varied perspectives among radiology professionals regarding the role of AI/ML in the field. This study aimed to assess respondents' knowledge, research involvement, utilization of AI/ML applications, and attitudes towards the impact of AI/ML on radiology practice and training. Methods Between June and July of 2022, we conducted a web-based survey of radiologists and radiology residents from 5 major institutions in Ethiopia with radiology residency programs. The survey was distributed through the Ethiopian Radiological Society, and social media. Group comparison was tested by chi-square test for categorical responses and Mann-Whitney test for ordinal rating scale responses. Results Of the 276 respondents, 94.5% were novices when it came to AI/ML, and radiologists were more likely than residents to have read a journal paper on AI in radiology in the previous 6 months (33.3% vs. 18.9%). Only 1.8% of respondents had active or previous involvement in AI research, though 92% were eager to join such research efforts. Most of respondents intended to expand their AI/ML knowledge (84.6%) and believed AI/ML would substantially influence radiology practice (72.3%). While few felt AI/ML could replace radiologists (16.8%), most supported integrating AI/ML training into radiology residency curricula (82.9%). Conclusion This study suggests that radiology residents and radiologists in Ethiopia are generally positive and open-minded towards AI/ML in radiology, despite their limited knowledge and experience with the technology. The majority of respondents believe that AI and data science skills should be introduced during residency training. Recommendations : Medical AI training should be incorporated into radiology residency programs to prepare future radiologists for the changing landscape of radiology practice.
The effect of glycyrrhizin on central regulation of food intake in broilers injected with LPS
Authors: Rahdari Amin , Hamidi Farshid 
Published: November 2023

Abstract
Poultry farming poses challenges due to hygiene and nutrition issues, leading to disease and inflammation in chickens. One of the challenges is gram-negative bacteria that stimulate pro-inflammatory reactions through lipopolysaccharide (LPS) and cause disease and anorexia. Licorice, a medicinal plant with glycyrrhizin (Gly) as its main active ingredient, was used in our experiment to investigate the effects of glycyrrhizin on food intake in LPS-injected broilers. Accordingly, the study involved three experiments involving 72 male broiler chickens, to examine the impact of Gly. on their food intake in LPS-injected broilers (n = 24). Experiment 1 was conducted to examine the effects of IP injection of Gly. (12.5, 25, and 50 mg) on food intake in chickens. In experiment 2, the birds received intracerebroventricular (ICV) injections of LPS (6.25, 12.5, and 25 ng). In the last experiment, we investigated the impact of IP injection of glycyrrhizin on inflammation induced by LPS. Based on the findings, IP injection of glycyrrhizin significantly increased food intake in a dose-dependent manner (p < 0.05). Whereas, LPS significantly reduced food intake in food-deprived chickens. Gly. can neutralizes reduced food intake caused by inflammation in broilers, highlighting its potential role in modulating food intake in broilers.
Gaze, Nod, and Smile for Success. A Deepfake-Based Study on Facial Expressiveness and Social Outcomes
Authors: Renier Laetitia A. , Shubham Kumar , Vijay Rahil Satyanarayan , Kleinlogel Emmanuelle P. , Jayagopi Dinesh Babu , Mast Marianne Schmid , Mishra Swasti Shreya 
Published: November 2023

Abstract
Artificial intelligence (AI)-generated media is used in entertainment, art, education, and marketing. AI-generated faces or facial expressions using deepfake-based technologies might also contribute to nonverbal behavior studies. As a proof of concept, in this research, we test the replicability of past results regarding the positive effects of facial expressiveness (e.g., gazing, nodding, and smiling) on social outcomes. Because the facial expressions when listening to someone (i.e., nonverbal immediacy) encompass several behaviors that are typically related (i.e., smiling while nodding), the effect of combinations of these behaviors is challenging to study. We thus test the effect of facial expressiveness (gazing, nodding, and smiling vs. none) on first impression judgements in a job interview setting using AI-generated experimental video material. We measure how competent, warm, and favorably independent observers (n = 823) perceive the targets (n = 159) showing AI-generated facial expressions. Our results replicate past research showing that the more targets are facially expressive, the more they are perceived favorably. Apart from supporting evidence of the importance of facial expressiveness for conveying a positive impression, we show the benefits of relying on AI-generated experimental video material for the study of nonverbal behavior.
Methyl jasmonate and salicylic acid enhance the production of epifriedelanol and friedelin in Cannabis sativa L. hairy roots
Authors: Mahendran Ganesan , Vimolmangkang Sornkanok 
Published: November 2023

Abstract

Friedelin and epifriedelanol are pentacyclic triterpenoids that preferentially accumulate in the roots of hemp(Cannabis sativaL.) and are valued for their antidiabetic, hypolipidemic, antioxidant, liver protective, anti-ulcer, anti-inflammatory, antimicrobial, anticancer, and antisenescence properties. The aim of the present study was to investigate the influence of media, carbon sources, and elicitation on the production ofC. sativahairy root biomass and these metabolites. The MS liquid medium promoted the highest fresh weight (9.45 ± 0.00 g/100 mL flask) biomass production in hairy root cultures after 28 days. The highest levels of epifriedelanol (3.79-fold) and friedelin (3.25-fold) were found at the end of the exponential phase. The presence of 3% sucrose provided the highest accumulation of epifriedelanol(0.930 ± 0.013 mg/g DW) and friedelin (0.574 ± 0.024 mg/g DW) in the roots. The effects of methyl jasmonate (MJ) and salicylic acid (SA) on the enhancement of friedelin and epifriedelanol inC. sativahairy root cultures were investigated. Between the two elicitors, SA showed the highest production of epifriedelanol (up to 5.018 ± 0.35 mg/g DW) and friedelin up to 1.56 ± 0.34 mg/g DW in 28-day-old stationary phase hairy roots. These represented 5.22- and 2.88-fold increase over the control (0.96 ± 0.01 mg/g DW and 0.54 ± 0.03 mg/g DW) after 96 h of treatment, respectively. The maximum accumulations of epifriedelanol (3.59 ± 0.12 mg/g DW) and friedelin (1.31 ± 0.01 mg/g DW) were observed in the treatment with MJ (100 µM) after 24 h of exposure and were 3.73- and 2.44-fold higher than the control, respectively. These findings suggest that elicitation is an effective technique for enhancing the yields of these valuable bioactive pentacyclic triterpenoids inC. sativahairy root cultures in a relatively short period of time.
Leupaxin: A Prospective Therapeutic Target for Esophageal Squamous Carcinoma Treatment
Authors: Teng Fei , Chen Yang , Liao Fei , Wang Yingzhao , Jiang Yue-Quan , Wang Zhi-Qiang 
Published: November 2023

Abstract
Esophageal squamous cell carcinoma (ESCC) is a prevalent malignant tumor. Immunotherapy research has led to advances in its treatment, but further research is necessary to identify its effective biomarkers. This study investigated the expression, pathological and prognostic significance, protein interactions, pathway enrichment, immune microenvironment, correlations between immune regulators and infiltration of immune cells, associations with drug resistance genes, and chemosensitivity of the immune-related biomarker leupaxin (LPXN) in ESCC using bioinformatics. The relative expression levels of LPXN mRNA and protein were evaluated and verified in both healthy and ESCC tissues using quantitative polymerase chain reaction and immunohistochemistry. The potential role of LPXN in ESCC was investigated using cell proliferation, apoptosis, clonogenic, and migration assays. The co-expression of LPXN and programmed cell death-ligand 1 (PD-L1) at the protein level in ESCC lines was determined by western blotting. We validated the expression of the LPXN gene in ESCC using clinical samples and investigated the correlation between LPXN gene expression and the efficacy of immune therapy for ESCC. Functional experiments demonstrated that inhibiting LPXN led to decreased cell proliferation, increased apoptosis, and impaired cell migration and invasion in ESCC cells. Our results indicate the involvement of the immune-related biomarker LPXN in the proliferation and migration processes of ESCC, establishing a novel framework for treatment.
Diversity in Photosynthetic Pigments and Phytochemical Compounds among Iranian Populations of Inula helenium L.
Authors: Moradi Nader , Badi Hassanali Naghdi , Jari Sepideh Kalateh , Mehrafarin Ali , Danaee Elham 
Published: November 2023

Abstract
Elecampane (Inula helenium L.) is a valuable medicinal plant known for its well-documented anticancer, cardioprotective, antibacterial, and anti-inflammatory properties. This study aimed to assess various Iranian elecampane populations by collecting 15 populations from their natural habitats and evaluating them in terms of photosynthetic pigments, phenolic content, and essential oil profiles. The populations exhibited variations in chlorophyll (Chl) and carotenoid content, which were positively correlated with soil potassium and phosphorous levels. Content of total phenolic (TPC), total flavonoids (TFC), and proline varied among the populations, with TPC and proline showing a significant correlation with Chl content. The essential oil (EO) content ranged from 0.13 to 0.26%, with the analysis identifying 33 compounds by GC/MS, comprising over 96% of the EO content. The predominant compounds in the EO profiles included β-elemene, tricyclene, α-pinene, isoalantolactone, and santolina triene. Principal component analysis (PCA) and agglomerative hierarchical clustering (AHC) revealed three classes based on the main EO compositions. Populations in habitats with altitudes of 2000-2400 m, pH levels of 6.5-7, and soils with silt/silt loam texture had higher TPC and EO content. Importantly, different populations exhibited essential oils with highly diverse compositions, with some populations containing compounds absent in others. Except for β-elemene, which was present in all populations, other compounds varied in presence and quantity across different populations. This suggests the potential for obtaining diverse and desired chemotypes of Inula helenium through further research.