bluuebunny/crossref_metadata_2025_split huggingface dataset:
Siglec-15 on macrophages suppress the immune microenvironment in patients with PD-L1 negative non-metastasis lung adenocarcinoma
Authors: Yang Lili , Huang Ziqi , Guo Yan , Li Baihui , Shen Meng , Yi Yeran , Li Li , Zhao Xiaohe 
Published: September 2023

Abstract
Sialic acid-binding immunoglobulin-like lectin 15 (Siglec-15) is an immune checkpoint molecule with sequence homology to programmed cell death ligand 1 (PD-L1), which is mainly expressed on macrophages and tumor cells. However, whether Siglec-15 induced immunosuppression and poor prognosis are independent of PD-L1 remains unclear. In this study, we collected samples of 135 non-small cell lung cancer and found that Siglec-15 and PD-L1 expression were independent in non-small cell lung cancer by multiple immunofluorescence staining. Siglec-15 on macrophages (Mφ-Siglec-15) was significantly associated with DFS (p < 0.05) in PD-L1- patients with non-metastasis lung adenocarcinoma, not in PD-L1+ or lung squamous cell carcinoma patients. Moreover, stromal Siglec-15+ macrophages of Mφ-Siglec-15+PD-L1- patients were significantly more than those of Mφ-Siglec-15-PD-L1- patients (p = 0.002). We further found that Siglec-15+ macrophages were negatively associated with inflamed immunophenotype in PD-L1- patients and may inhibit CD8+T cells infiltration, validated in another independent cohort and in vivo. In conclusion, PD-L1-independent Siglec-15+ macrophages contribute to the formation of immunosuppressive microenvironment in non-metastasis lung adenocarcinoma patients, which may cause a higher risk of recurrence. Siglec-15 could be a potential target for normalizing cancer immunotherapy, benefiting patients who fail to respond to anti-PD-L1 therapy.
Development of A Simplified New Method of Bone Age Estimation Using Three Bones of the Hand and Wrist
Authors: Khadilkar Vaman , Mondkar Shruti Arvind , Desai Keyur Bhavesh , Oza Chirantap , Yewale Sushil , Dange Nimisha , Lohiya Nikhil , Patil Prashant , Prasad Hemchand Krishna , Shah Nikhil , Karguppikar Madhura , Maheshwari Ankita , Khadilkar Anuradha V 
Published: September 2023

Abstract
Though the Greulich and Pyle(GP) method is easy, inter-observer variability, differential maturation of hand bones influences ratings. The Tanner-Whitehouse(TW) method is more accurate, but cumbersome. A simpler method combining the above, such that it utilizes fewer bones without affecting accuracy, would be widely used and more applicable in clinical practice. Objectives:1.Devising a simplified method utilizing three bones of the hand and wrist for bone age(BA) assessment. 2.Testing whether the 3 bone method gives comparable results to standard methods (GP,TW2,TW3) in Indian children. Methods:Developmental stages and corresponding BA for radius, hamate, terminal phalanx (left middle finger) epiphyses combining stages from GP,TW3 atlases were described; BA were rated by two blinded observers. 3 bone method ratings were compared with the same dataset analyzed earlier using GP,TW2,TW3(4 raters). Results:Radiographs analysed:493 (Girls = 226). Mean chronological age:9.4 ± 4.6yrs, mean BA 3 bone:9.8 ± 4.8yrs, GP:9.6 ± 4.8yrs, TW3:9.3 ± 4.5yrs, TW2:9.9 ± 5.0yrs. The 3 bone method demonstrated no significant inter-observer variability(p = 0.3, mean difference = 0.02 ± 0.6yrs); a strong positive correlation (p < 0.0001) with GP(r = 0.985), TW3(r = 0.983) and TW2(r = 0.982) was noted. Bland-Altman plots demonstrated good agreement; the root mean square errors between 3 bone and GP,TW3,TW2 ratings were 0.6,0.7,0.6 years; mean differences were 0.19,0.49,-0.14 years respectively. Greatest proportion of outliers (beyond ± 1.96SD of mean difference) was between 6–8 years age for difference in 3 bone and GP, and between 4–6 years for difference in 3 bone and TW3,TW2. Conclusion:The 3 bone method has multiple advantages;it is easier, tackles differential maturation of wrist and hand bones, has good reproducibility, without compromising on accuracy rendering it suitable for office practice.
The Important Role of Natural Organic Ligands in the Distribution of Dissolved Fe(III) in Tropical Costal Water
Authors: Mohamed Khairul Nizam , Zamri Nur Amirah , Ramjam Nur Jannati , Li Ng Qing , Kamel Syaza Syafiqah Muhamad 
Published: September 2023

Abstract
The role of natural organic ligands on Fe(III) ion distribution was determined in the Mersing coastal water. It was studied by determining the concentration of natural organic ligand ([LT]) and its constant stability (Log KFeL) in the seawater collected during two different monsoon seasons, which were pre-monsoon in August 2020 and post-monsoon in April 2021. Both seasons have different physical and chemical conditions due to the influence of the Northeast monsoon. The seawater samples from both sampling periods were analysed using a competitive ligand equilibration-adsorptive cathodic stripping voltammetry (CLE-AdCSV) method. The [LT] in August 2020 ranged from 13.9±0.1 nM to 21.4±0.8 nM, which was higher compared to its concentration in April 2021. In April 2021, its concentration ranged from 9.1±0.1 nM to 19.3±1.2 nM. For the binding strength (Log KFeL) of natural organic Fe(III) binding ligand in August 2020 and April 2021, it ranged between 11.1–11.8 and 10.6–11.9, respectively. This indicated the presence of a similar strong organic Fe (III) binding ligand class (L1) in our study area. Our present results suggested that the [LT] and log K were similar in Mersing coastal water for both August 2020 and April 2021. Despite the changes in in-situ parameters such as temperature, salinity, and DO caused by northeast monsoon phenomena, they had no significant impact on the distribution of dissolved Fe(III) speciation due to the presence of excess natural organic ligands in this coastal area. Hence, these strong organic ligands are important as they bind to the dissolved Fe(III) ions and create a Fe(III)-binding ligand complex that remains in the dissolved phase and is bioavailable to organisms such as phytoplankton.
Coupling analysis of crane accident risks factors based on Bayesian network and the N-K model
Authors: Wu Bangjie , Zheng Xiazhong , jin lianghai 
Published: September 2023

Abstract
A crane is one of the most widely used pieces of equipment on construction sites, but it is accompanied by a high accident rate. Crane accident risk analysis is very important for good lifting accident prevention and control and ensuring the safety of lifting operations. Therefore, we should attach great importance to the interaction between different types of risk factors. This paper proposes a coupling quantitative method of human, machine, management, and environmental risk factors for crane accidents based on Bayesian networks (BN) and the N-K model. Firstly, text mining technology and fault tree analysis are used to analyze the causes of crane accidents and classify the risk factors. Secondly, the types of risk coupling caused by human, machine, management, and environmental risk factors are defined. Thirdly, based on the crane accident risk analysis and its N-K model, the BN model is established. Fourthly, the parameters of the risk coupling nodes in the developed BN are determined by the calculation results of the N-K model. Finally, the risk coupling type with a high coupling value and the first-level node and second-level node the failure probability caused is analyzed by posterior probability and sensitivity analysis. The results find that man risk factors and management risk factors have a significant impact on crane accidents, and should be strengthened; the coupling effect of multiple risk factors has a great influence on the probability of crane accidents, which should be paid much attention to.
A Novel Deep Learning-Based Method for Real-Time Face Spoof Detection
Authors: Malik Muhammad Amir , Mazhar Tehseen , Haq Inayatul , Shahzad Tariq , Ghadi Yazeed Yaseen , Mallek Fatma , Hamam Habib 
Published: September 2023

Abstract
Facial-based Commercial Off-The-Shelf (COTS) systems increase the success rate of spoof attacks to 70% detection accuracy. A spoof attack uses an image, video, or 3D model of a person to gain unauthorized access to a biometric system. Face spoof attacks are mostly based on common spoof vectors, print attacks, and replay attacks. This research aims to improve the detection accuracy of face spoof recognition systems by employing a hybrid model of machine learning and computer vision-based approaches. Differences, including Decision Tree, Nave Bayes, K-nearest Neighbor, Support Vector Machine, Convolutional Neural Network (CCN), and Recurrent Neural Networks are used for face spoof detection. For face spoof detection, the proposed model is a hybrid variant of the CNN-based classifier used in the proposed face spoof detection model. This study improves real-time face fake detection using machine learning and computer vision. The proposed system is based on a CNN-based classification approach with optimized hyper parameters that detect real-time face spoofing attacks using print, video, and repeat attacks, improving detection accuracy. IDIAP, USSA & and MSFD datasets are used in the simulation; the proposed model has achieved a maximum accuracy of 87.5%. Furthermore, the proposed model achieved a high sensitivity score of 92.45%, indicating that it is highly likely to be used for spoof attack detection systems in the future.
Histological, immunohistochemical and serological investigations of the ovary during follicular phase of estrous cycle in Saidi sheep
Authors: Abd-Elkareem Mahmoud , Khormi M.A. , Mohamed Ragab Hassan , Ali Fatma , Hassan Mervat S. 
Published: September 2023

Abstract
The present study was conducted on 25 healthy ewes for serum analysis and 10 healthy ewes for histological assessment aged 2 to 5 years and weighted (35–42 Kg). This work was done to give more information on some hormonal, oxidative, and blood metabolites parameters in addition to histological, histochemical and immunohistochemical investigations of the ovary during follicular phase of estrous cycle in Saidi sheep. Our results revealed that the follicular phase of estrous cycle in Saidi sheep was characterized by the presence of ovarian follicles in different stages of development and atresia in addition to regressed corpus luteum. Here we give a new schematic sequence of ovarian follicles in Saidi sheep and describing the features of different types. We also clarified that these histological pictures of the ovary was influenced by hormonal, oxidative and blood metabolites factors that characterizes the follicular phase of estrous cycle in sheep.
Myelin oligodendrocyte glycoprotein (MOG) associated optic neuritis in a patient with idiopathic intracranial hypertension (IIH) and compressive optic neuropathy Case Report
Authors: Sorensen Ryan , Vogt Ashtyn , Laylani Noor , Pakravan Mohammad , Lee Andrew 
Published: September 2023

Abstract
Background: Myelin oligodendrocyte glycoprotein-associated disease (MOGAD) has a wide phenotypic expression and should be considered in a differential diagnosis of patients with optic disc edema and increased intracranial pressure even after a diagnosis of IIH has been established.Case presentation: A 53-year-old woman with a history of IIH presented with headache and visual loss. She had a BMI of 35.44 kg/m2 and a past medical history significant for depression, hepatitis C, hyperlipidemia, and uterine cancer post-hysterectomy. She had undergone multiple lumbar shunt surgeries for IIH and a pituitary adenoma resection. Her visual acuity was no light perception OD and counting fingers OS. Cranial MRI showed symmetric thin peripheral optic nerve sheath enhancement of the intra-orbital optic nerves OU. Serum MOG antibody was positive, and she was treated with intravenous steroids followed by plasma exchange and rituximab, but her vision did not improve.Conclusions: This case highlights the importance of considering MOGAD and compressive optic neuropathy in patients with a history of IIH that had previously been stable for years, but who then present with new onset vision loss and optic disc edema. MOGAD and pituitary adenoma compressive neuropathy are relatively rare diseases, but early recognition and treatment may improve visual outcomes and prevent further irreversible neurologic damage.
First molecular detection of Babesia spp. in 4 species of wild rodents in northwestern China
Authors: Li Ente , Wu Xuanchen , Wang Suwen , Liu Gang , Zhang Chunju , Li Wei , Mi Ligu , Lu Xiaobo , Wang Yuanzhi 
Published: September 2023

Abstract
To date, Piroplasma detection in wild rodents is still limited, especially in Asia. Here 218 liver samples, collected from 92 red-cheeked ground squirrels (RCGS, Spermophilus erythrogenys), 77 Libyan jirds (LJ, Meriones libycus), 48 long-tailed ground squirrels (LTGS, Spermophilus undulatus) and 1 Mongolian five-toed jerboa (MFTJ, Allactaga sibirica) were used to molecularly detect Piroplasma with 18S rRNA gene. The results showed that i) 1 RCGS (1.08%, 1/92), 3 LJs (3.89%, 3/77), 2 LTGSs (4.16%, 2/48) and 1 MFTJ (100%, 1/1) were positive to Piroplasma; ii) Babesia sequences detected in wild rodents had the highest similarity (94.01-96.17%) to Babesia vulpes (OK178567.1) found in camel (Camelus dromedarius) in Egypt; and iii) phylogenetic tree indicated that Babesia agents in RCGS, LJ, LTGS and MFTJ were clustered into a dependent clade. These findings suggest that new species or subspecies of Piroplasma members were found in wild rodents in northwestern China, although more molecular evidence should be supported.
Amyloid deposition and small vessel disease are associated with cognitive function in older adults with type 2 diabetes
Authors: Lesman-Segev Orit H. , Golan Sapir , Springer Ramit Ravona , Livny Abigail , Lin Hung-Mo , Yuxia Ouyang , Zadok Maya , Ganmore Ithamar , Heymann Anthony , Hoffmann Chen , Domachevsky Liran , Beeri Michal Schnaider 
Published: September 2023

Abstract
Diabetes is associated with cognitive decline, but the underlying mechanisms are complex and their relationship with Alzheimer’s Disease biomarkers is not fully understood. We assessed the association of small vessel disease (SVD) and amyloid burden with cognitive functioning in 47 non-demented older adults with type-2 diabetes from the Israel Diabetes and Cognitive Decline Study (mean age 78Y, 64% females). FLAIR-MRI, Vizamyl amyloid-PET, and T1W-MRI quantified white matter hyperintensities as a measure of SVD, amyloid burden, and gray matter (GM) volume, respectively. Mean hemoglobin A1c levels and duration of type-2 diabetes were used as measures of diabetic control. Cholesterol level and blood pressure were used as measures of cardiovascular risk. A broad neuropsychological battery assessed cognition. Linear regression models revealed that both higher SVD and amyloid burden were associated with lower cognitive functioning. Additional adjustments for type-2 diabetes-related characteristics, GM volume, and cardiovascular risk did not alter the results. The association of amyloid with cognition remained unchanged after further adjustment for SVD. Our findings suggest that SVD and amyloid pathology may independently contribute to lower cognitive functioning in non-demented older adults with type-2 diabetes, supporting a multimodal approach for diagnosing, preventing, and treating cognitive decline in this population.
Bioinformatic analysis of SEMA4D and its potential clinical value research in pan-cancer
Authors: Guo Wei , Liu Jun-ying , Chen Rong-feng , Tian Wei-jie , Zheng Cheng-chao , Feng Zhong-wen 
Published: September 2023

Abstract
Introduction: SEMA4D is a signaling protein expressed in various tissues, regulating numerous physiological and pathological processes. Recently, it has been reported to be highly expressed in many tumors, contributing to tumor progression by promoting angiogenesis. However, its status in pan-cancer remains unknown.
Methods: Utilizing the Cancer Genome Atlas (TCGA) Data and several public datasets, we conducted a comprehensive assessment of SEMA4D's role in pan-cancer. First, we examined its expression in different types of human tumors and attempted to correlate it with the stage and grade of the tumors analyzed. We alsoperformed survival analysis to investigate the association between SEMA4D upregulation in tumors and clinical outcome. In addition, we investigated the mutated form, its relationship with the infiltration of various immune cells, and the underlying molecular mechanism of SEMA4D in tumor tissues. Various bioinformatics analysis methods were employed, yielding several valid conclusions.
Results: SEMA4D was found to be expressed in multiple tumor types, with differential expression across different tumor grades. It predominantly localizes on the cell membrane and exhibits significant associations with several other proteins. Moreover, the expression of this gene in manytypes of cancers was found to correlate with immune infiltration, mostly showing a positive correlation. Additionally, SEMA4D was observed to promote the expression of immune checkpoints. Conclusion: Our study has preliminarily identified SEMA4D as a potential prognostic factor for pan-cancer and novel biomarkers for screening, offering valuable insights for the development of precise, reliable, and innovative cancer therapies in the current era of precision medicine.
Predictors of Mortality Due to Severe Traumatic Brain Injury: a Prospective Observational Cohort Study With 1-year Analyses
Authors: Gonçalves Jéssica Vaz , Lirio Pedro Henrique Cassaro , Nascimento Lucas Rodrigues , Louzada Carla Bernado , de Almeida Hanna Souza , Vasconcellos Hellen Siler , Ramos Larissa Cunha Silva Santos , Rodrigues Thais Silva , Arêas Fernando Zanela da Silva 
Published: September 2023

Abstract

Background Many predictors are associated with higher risks of hospital mortality due to severe Traumatic Brain Injury (TBI). The identification of these predictive factors is important for reducing morbimortality. Thus, the aim of this study was to identify predictors of mortality due to severe TBI in a trauma referral hospital in Brazil. Methods A prospective observational cohort study was carried out at a trauma referral hospital. All individuals > 18 years old with severe TBI diagnosis were included. Binomial logistic regression analysis was performed for each variable individually to identify possible predictors of in-hospital mortality and death 12 after hospital discharge. Variables considered statistically significant were analyzed in a final binomial logistic regression model and the magnitude of the association was measured by the odds ratio (OR). Results After applying the enrollment criteria, 383 patients were included. Of these, 211 (55%) died, 172 (45%) survived hospitalization and 22 (15%) died within the first year. The mean age was 49 ± 19 years, 309 (81%) individuals were male, and fall (46.5%) was the main cause of injury. Most individuals had Injury Severity Score ≥ 25 (85.2%). On the final binomial logistic regression model, age greater than 65 years (OR = 6.60 95%CI 2.515–17.354) and pupillary changes such as anisocoria (OR = 2.440 95%CI 1.098–5.465) and mydriasis (6.906 95%CI 2.758- 17,293) were independent variables associated with a higher risk of hospital mortality. High respiratory rate (OR = 1.127 95%CI 1.025–1.240) and body temperature (OR = 0.758 0.606–0.949) collected on admission to the emergency room were also predictors of mortality. A higher risk of mortality was associated with values > 25 on the Injury Severity Score (OR = 3.69395%CI 1.556–8.766) and the performance of decompressive craniectomy (OR = 2.644 95%CI 1.343–5.204). Conclusions This study demonstrated higher mortality rate of patients with TBI when compared to other trauma centers in both high-income countries (HICs) and low- and middle-income countries (LMICs). Early clinical factors such as pupillary changes, high values in the ISS, the performance of decompressive craniectomy, increased respiratory rate and low body temperature were associated with a higher risk of hospital mortality. The study highlights the importance of accounting for regional disparities when developing and implementing TBI management strategies worldwide.
Effect of strontium on transcription factors identified by transcriptome analyses of bovine ruminal epithelial cells
Authors: Tan Panpan , Wang Yazhou , Mei Linshan , Loor Juan J , Zhao Chenxu , Kong Yezi , Zeng Fangyuan , Zhao Baoyu , Wang Jianguo 
Published: September 2023

Abstract
Background: Strontium (Sr) has similar physicochemical properties as calcium (Ca) and is often used to evaluate the absorption of this mineral. Because the major route of Ca absorption in the bovine occurs in the rumen, it is essential to understand whether Sr impacts the ruminal epithelial cells and to what extent.
Results: In the present study, RNA sequencing and assembled transcriptome assembly were used to identify transcription factors (TFs), screening and bioinformatics analysis in bovine ruminal epithelial cells treated with Sr. A total of 1405 TFs were identified and classified into 64 families based on an alignment of conserved domains. A total of 174 differently expressed TFs (DE-TFs) were increased and 52 DE-TFs were decreased; the biological process-epithelial cell differentiation was inhibited according to the GSEA-GO analysis of TFs; The GO analysis of DE-TFs was enriched in the DNA binding. Protein-protein interaction network (PPI) found 12 hubs, including SMAD4, SMAD2, SMAD3, SP1, GATA2, NR3C1, PPARG, FOXO1, MEF2A, NCOA2, LEF1, and ETS1, which verified genes expression levels by real-time PCR.
Conclusions: In this study, SMAD2, PPARG, LEF1, ETS1, GATA2, MEF2A, and NCOA2 are potential candidates that could be targeted by Sr to mediate cell proliferation and differentiation, as well as lipid metabolism. Hence, these results enhance the comprehension of Sr in the regulation of transcription factors and provide new insight into the study of Sr biological function in ruminant animals.