bluuebunny/crossref_metadata_2025_split huggingface dataset:
4-Octyl itaconate attenuates glycemic deterioration by regulating macrophage polarization in mouse models of type 1 diabetes
Authors: He Sunyue , Zhao Yuchen , Wang Guoxing , Ke Qiaofang , Wu Nan , Lu Lusi , Wu Jiahua , Sun Shuiya , Jin Weihua , Zhang Wenjing , Zhou Jiaqiang 
Published: December 2022

Abstract
Background: Pancreatic beta cell dysfunction and activated macrophage infiltration are early features in type 1 diabetes pathogenesis. A tricarboxylic acid cycle metabolite that can strongly activate NF-E2-related factor 2 (Nrf2) in macrophages, itaconate is important in a series of inflammatory-associated diseases by anti-inflammatory and antioxidant properties. However, its role in type 1 diabetes is unclear. We used 4-octyl itaconate (OI), the cell-permeable itaconate derivate, to explore its preventative and therapeutic effects in mouse models of type 1 diabetes and the potential mechanism of macrophage phenotype reprogramming.
Methods: The mouse model of streptozotocin (STZ) induced type 1 diabetes and spontaneous autoimmune diabetes were used to evaluate the preventative and therapeutic effects of OI, which were performed by measuring blood glucose, insulin level, pro- and anti-inflammatory cytokine secretion, histopathology examination, flow cytometry, and islet proteomics. The protective effect and mechanism of OI were further examined via peritoneal macrophages isolated from STZ-induced diabetic mice and co-cultured MIN6 cells with OI-pre-treated inflammatory macrophages in vitro. Moreover, the inflammatory status of peripheral blood mononuclear cells (PBMCs) from type 1 diabetes patients was evaluated after OI treatment.
Results: OI ameliorated glycemic deterioration, increased systemic insulin level, and improved glucose metabolism in STZ-induced diabetic mice and non-obese diabetic (NOD) mice. Meanwhile, the islet insulitis and beta cell function were significantly restored by OI intervention. Indeed, OI did not change the count of macrophages but significantly downregulated the proportion of M1 macrophages. In addition, OI significantly inhibited MAPK activation in macrophages to attenuate the macrophage inflammatory response, eventually improving beta cell dysfunction in vitro. We also found higher IL-1β production upon lipopolysaccharide stimulation in the PBMCs from type 1 diabetes patients, which was attenuated by OI treatment.
Conclusions: These results provided the first evidence to date that OI can prevent the progression of glycemic deterioration, excessive inflammation, and beta cell dysfunction predominantly mediated by restricting macrophage M1 polarization in mouse models of type 1 diabetes.
Risk factors indicating immune-related adverse events with combination chemotherapy with immune checkpoint inhibitors and platinum agents in patients with non-small cell lung cancer: A multicenter retrospective study
Authors: Fujimoto Airi , Kotake Yoshimichi , Hisamatsu Daisuke , Ookubo Noriko , Yabuuchi Yurika , Kamimura Go , Kai Tasuo , Kozono Aki , Ootsu Takahiro , Suzuki Hiroto , Matsuo Keisuke , Kuwahara Kimiko , Oiwane Yoshita , Nagata Yuko , Tanimoto Kenya , Sato Eri , Suenaga Mei , Uehara Tomhiro , Ikari Akira , Endo Satoshi , Hiraki Yoichi , Kawamata Yosei 
Published: December 2022

Abstract
Purpose
Immune checkpoint inhibitors (ICI) ushered in a new era for the treatment of non-small cell lung cancer (NSCLC). However, they carry the risk of immune-related adverse events (irAEs). Recently, various studies have been conducted on the predictive factors for irAEs, but there are no reports focusing only on ICI plus platinum agents. The present study aimed to identify the risk factors for irAEs due to ICI combined with platinum-based chemotherapy in NSCLC patients, focusing only on the period of combined use.
Methods
This retrospective study included 315 NSCLC patients who started ICI combined with platinum-based chemotherapy treatment at 14 hospitals between December 2018 and March 2021. A logistic regression analysis was used to explore the predictive factors.
Results
A multivariate analysis revealed that squamous cell carcinoma (P = 0.021; odds ratio [OR]: 2.30; 95% confidence interval [Cl]: 1.14–4.65), anti-programmed death 1 antibody (anti-PD-1) plus anti-cytotoxic T-lymphocyte antigen-4 antibody (anti-CTLA-4) regimens (P < 0.01; OR: 22.10; 95% Cl: 5.60–87.20), and neutrophil-to-lymphocyte rate (NLR) < 3 (P < 0.01; OR: 2.91; 95% Cl: 1.35–6.27) were independent predictive factors for irAEs occurrence.
Conclusion
Squamous cell carcinoma, anti-PD-1 plus anti-CTLA-4 regimens, and NLR < 3 may be predictive factors for the occurrence of irAEs in patients with NSCLC due to ICI combined with platinum-based chemotherapy. By focusing on the potential risk of irAEs in patients with these factors, irAEs can be appropriately managed from an early stage.
A Prospective Randomized Comparative Study Between 60 Gy vs. 50 Gy Dose Radiotherapy with Concurrent Chemotherapy in Locally Advanced Unresectable Oesophageal Cancer; tertiary rural Indian cancer centre experience
Authors: Sarahiya Pinky , Rawat Shyamji , Patel Lalit Mohan , Singotia Laxmi , Jain Rajesh Kumar , Raychaudhuri Arkojyoti 
Published: December 2022

Abstract
Purpose-
To evaluate and compare the safety and efficacy of 60 Gy versus 50 Gy dose radiotherapy with concurrent chemotherapy in locally advanced unresectable oesophageal cancer.
Methods-
Study design was prospective, randomized and comparative. 60 Patients (30 patients in each arm) with histologically proven locally advanced unresectable oesophageal carcinoma and with good balance in observed co-variables were enrolled. Total radiation dose of 60 Gy was given in one arm while 50 Gy in another arm. Weekly CCRT was given till radiotherapy treatment completion in both the arms with paclitaxel 75 mg/m2 and carboplatin AUC 2. Statistical analysis was done using SPSS version 2.0. At 4 weeks of completion of treatment and after 6 months follow-up, response was assessed using RECIST (1.1) criteria.
Results-
In 60 Gy dose arm, 76.66% patients and in 50 Gy arm, 70% patients achieved CR but the difference was statistically non- significant (p= 0.559). After 6 months of median follow up, 60% patients in 60 Gy arm and 50% in 50 Gy arm had CR whereas 30% patients in 60 Gy arm and 40% in 50 Gy arm had LRF. There were no statistically significant differences between the two arms in leucopenia (p=0.576), nephrotoxicity (p=1.0), radiation dermatitis (p=0.615), vomiting (p=0.921) and diarrhoea (p=1.0).
Conclusion-
60 Gy dose radiotherapy with concurrent chemotherapy can be used feasibly and safely with only a few manageable side effects and with favourable benefit-risk profile, especially in terms of local tumour control. However, to validate this conclusion, large sample size and longer follow-up will be required.
Neural targets of the enteric dopaminergic system in regulating motility of rat proximal colon
Authors: Nakamori Hiroyuki , Hashitani Hikaru 
Published: December 2022

Abstract
In isolated segments of the rat proximal colon, the dopamine reuptake inhibitor GBR 12909 (GBR) causes dilatation, while the D1-like receptor antagonist SCH 23390 (SCH) causes a tonic constriction, suggesting that neurally-released dopamine tonically stimulates enteric inhibitory efferent neurons. Here, the targets of the enteric dopaminergic neurons were investigated. Cannulated segments of rat proximal colon were bathed in physiological salt solution and luminally perfused with 0.9% saline, while all drugs were applied to the bath. Spatio-temporal maps of colonic motility were constructed from video recordings of peristaltic contractions in the colonic segments, and the maximum segmental diameter was measured. GBR (1 µM)-induced dilatations of colonic segments were prevented by SCH (5 µM), L-nitro arginine (L-NA; 100 µM), a nitric oxide synthase inhibitor, or tetrodotoxin (0.6 µM). In contrast, constrictions induced by a higher concentration of SCH (20 µM) were not prevented by either L-NA or tetrodotoxin. The vasoactive intestinal peptide (VIP) receptor antagonist VIP10 − 28 (3 µM) or P2Y1 receptor antagonist MRS 2500 (1 µM) had no effect on either the GBR-induced dilatation or the SCH-induced constriction. In colonic segments isolated from the rats that had been pretreated with 6-hydroxydopamine to deplete enteric dopamine, GBR failed to increase the colonic diameter, while SCH was still capable of constricting colonic segments. Enteric dopaminergic neurons appear to project to nitrergic neurons to dilate the proximal colon by activating neuronal D1-like receptors. In addition, constitutively activated D1-like receptors expressed in cells yet to be determined may provide a tonic inhibition on colonic constrictions.
A Hybrid PCA-MAO Based LSTM Model for Intrusion Detection in IoT Environments
Authors: Karamollaoğlu Hamdullah , Yücedağ İbrahim , Doğru İbrahim Alper 
Published: December 2022

Abstract
With the rapid advances in Internet of Things (IoT) technologies, the number of smart objects connected to IoT networks is increasing day by day. Parallel to this exponential growth, attacks against IoT networks are also increasing rapidly. Various Intrusion Detection Systems (IDS) have been proposed by researchers to improve accuracy in detecting attacks with different behaviors and reduce intrusion detection time. This work presents a novel IDS based on the combination of the Principal Component Analysis and Mayfly Optimization methods (PCA-MAO) for dimensionality reduction, the Borderline Synthetic Minority Oversampling Technique (BSMOTE) for data balancing, and the Long Short-Term Memory (LSTM) method for classification. A new dataset was created by combining IoTID20, CIC-ToN-IoT and USB-IDS-1 datasets to be used in the performance test of the proposed model. Thus, the performance evaluation of the proposed model was performed for more attack types with different behaviors. As a result of classification using the proposed hybrid PCA-MAO based LSTM model, an accuracy of 99.51% was obtained. It has been observed that the proposed IDS provides superior intrusion detection performance for high-dimensional, complicated, and imbalanced data compared to classical machine learning (ML) methods.
A general approach for of schema matching problem: case of databases
Authors: Labreche Mustapha , Lorca Xavier , Montarnal Aurélie , Weill Sébastien , Adi Jean-Pièrre , Sébastien Truptil 
Published: December 2022

Abstract

The problem of schema matching is one of the main tasks in several processes dealing with databases, data transformation and data integration. Schema matching involves the generation and linking of heterogeneous schemas. This heterogeneity makes the implementation of a solution difficult and the sources of heterogeneity are multiple. The need for a methodology that can adapt to the largest number of points of variation is necessary. In this paper, we propose a flexible, global and generic approach to meet this need where the main idea is to exploit as much information available in the schemas and this through the implementation of federated interoperability that allows the interpretation of information on the fly. To this end, the approach uses graph theory, more specifically hypergraphs and optimization models for the modelling of schemas and the automation of the solution of the schema matching problem by converting it into a graph matching problem. Our contributions include the proposal of an optimization model to add specific constraints to the schema matching problem, as well as the propagation algorithms to propagate the matching relationships between the source and target schemas. The approach is finally evaluated on two use cases, one academic and one industrial.
Singlet oxygen makes plant epidermis thicker with less stomata
Authors: Yuan Shu , Zhang Zhong-Wei , Fu Yu-Fan , Yang Xin-Yue , Yuan Ming , Zheng Xiao-Jian , Zhang Meng-Yao , Xie Lin-Bei , Reinbothe Steffen , Reinbothe Christiane , Shu Kai , Wu Fan , Feng Ling-Yang , Du Jun-Bo , Wang Chang-Quan , Gao Xue-Song , Chen Yang-Er , Zhang Yan-Yan , Li Yang , Tao Qi , Lan Ting , Tang Xiao-Yan , Chen Guang-Deng , Zeng Jian 
Published: December 2022

Abstract
Singlet oxygen (1O2) has a very short half-life of 10−5 s; however, it is a strong oxidant that causes growth arrest and necrotic lesions on plants1–4. Its signaling pathway remains largely unknown. The Arabidopsis flu (FLUORESCENT) mutant accumulates a high level of 1O2 and shows drastic changes in nuclear gene expression5. Only two plastid proteins, EX1 (EXECUTER 1) and EX2 (EXECUTER 2), have been identified in the singlet oxygen signaling6,7. Here we found that the transcription factor ABI4 (ABSCISIC ACID INSENSITIVE 4) binds the promoters of genes responsive to 1O2-signals. Inactivation of the ABI4 protein in the flu/abi4 double mutant was sufficient to suppress the upregulation of almost all 1O2-responsive-genes and rescued the lethal phenotype of flu grown under light / dark cycles, similar to the flu/ex1/ex2 triple mutant. In addition to cell death, we reported for the first time that 1O2 also induces cell wall thickening and stomatal development defect. However, no apparent growth arrest was observed for the flu mutant under normal light / dim light cycles, but the cell wall thickening (doubled) and stomatal reduction (by two-thirds) still occurred. These results offer a new idea for breeding stress tolerant and lodging resistant varieties in agricultural industry.
The impacts of climate changes on watershed streamflow and total dissolved nitrogen in Danjiang Watershed, China
Authors: Liu Yaxiu , Chen Xinyu , Gao Han , Sha Jian , Li Xue 
Published: December 2022

Abstract
The impacts of future climate change on the watershed streamflow and total dissolved nitrogen (TDN) fluxes upstream of the Danjiang River were estimated. The newest shared socioeconomic pathways (SSP) in CMIP6 were used as a climate change scenario. The ensembles of downscaled GCM outputs from WorldClim were used as future climate change information. A combined modeling approach is proposed, including the Long Ashton Research Station Weather Generator (LARS-WG) model as a weather generator and the generalized watershed loading function (GWLF) model for watershed hydrochemical process model and scenario analysis. The results show that there is generally less annual streamflow but more annual TDN flux under future climate change scenarios. The monthly streamflow and TDN flux increased from May to July and decreased from August to October. Changes in streamflow and TDN fluxes were the greatest in the worst uncontrolled scenario of SSP 5-85, with a 12.1% decrease in annual streamflow in the 2070s and a 4.82% increase in annual TDN flux in the 2090s. This indicates that active climate policies can mitigate the impact of climate change on watersheds. Furthermore, the source apportionments of TDN from agricultural sources will increase to nearly 50% by the 2090s, and targeted management strategies should be implemented.
Extraction of methylene blue from aqueous solution by pickering emulsion liquid membrane using cellulose as eco-friendly emulsifier: optimization and modeling studies
Authors: Sharmmah Debosmita , Manuel Jerold 
Published: December 2022

Abstract
In the present investigation cellulose, a naturally occurring biopolymer, was used as an eco-friendly emulsifier for the removal of methylene blue (MB) from simulated wastewater using emulsion liquid membrane. Coconut oil, a green diluent, was used as an organic phase in preparing a pickering emulsion liquid membrane (PELM) the extraction of dye. The PELM was prepared by loading with aliquat 336 as extractant, potassium hydroxide (KOH) as internal phase, and edible coconut oil as the diluent. The effect of the process parameters such as dye concentration, internal phase concentration, emulsifier concentration, organic phase to aqueous phase (O/A) ratio, stirring speed (RPM) were studied using Box-Behnken design and response surface method. The results showed that more than 92% of MB were successfully extracted around 120 min. Hence, it could be concluded that cellulose can be used as a promising emulsifying agent in the PELM preparation for the removal of MB from wastewater.
Heterocyclic Moieties as Prospective Nematicides: An Overview
Authors: kaur Komalpreet , Utreja Divya , Dhillon Narpinderjeet Kaur , Anupam  , Buttar Harwinder Singh 
Published: December 2022

Abstract:
Plant parasitic nematodes are destructive endoparasites having deleterious effect on about 5000 agricultural crops notably vegetables, fruits, field crops, ornamental plants, and even human health. The immense damage caused by nematodes has been estimated as US $150 billion per annum (21.3%) despite of the availability of commercialized nematicides. Nevertheless, crop protection is still dependent on the development of novel chemicals due to development of pesticide resistance line by diverse pathogens. The utilization of heterocyclic moieties in agricultural industry is considered as an effectual practice to manage plant diseases either as systemic or non-systemic. These scaffolds consist of heteroatoms in their ring structure such as N, S, O, which give a boost to their biological activity as reported. The principal heterocyclic scaffolds are the benzimidazole, pyridine, nicotinic acid, pyrrole, indole, isatin, triazine, triazole, pyrazole, amides, imidazole, cinnamic acid, oxadiazole, coumarin, thiadiazole, etc. derivatives which owing to their marvelous structural diversity are widely exploited. The prime purpose of the review is to provide information to researchers around the globe about varied heterocyclic scaffold decorations that have been employed for the synthesis of potential nematicidal candidates from 2000 onwards and their utilization to combat complex destructive biotic stress. Therefore, this review assembled the considerable synthetic chemistry and nematicidal investigation of moieties against various plant parasitic pathogens along with structure-activity relationship studies. The scientific details provided in the article will highlight the importance of heterocyclic compounds in the agricultural industry and may pave a pathway for the development of novel nematicides.
Impact of Health Education Intervention on Nutritional Status Among
Adolescent Girls in Government Secondary Schools Maiduguri: A
Randomised Control Trial
Authors: Shapu Ruth Charles , Ismail Suriani , Ying Lim Poh , Ahmad Norliza , Garba Hussaini , Njodi Ibrahim Abubakar 
Published: December 2022

Background:
The study aimed to evaluate the impact of a health education intervention on
nutritional status among adolescent girls in government secondary schools in Maiduguri Metropolitan
Council.

Methods:
The study was a randomized control trial among 417 adolescent girls aged 10-19 years old.
Data were collected from October 2019 to March 2020 using KoBo collect toolbox. Chi-square and
Fisher exact were used to compare baseline differences between the intervention and control group, a
generalized estimating equation was used to evaluate the impact of health education intervention.

Results:
There was no significant difference in nutritional status (body mass index for age percentile and
mid-upper arm circumference) between the intervention and control group at baseline. There was a statistically
significant difference at three and six-months post-intervention for body mass index for age percentile
p = 0.005; p < 0.001, while the mid-upper arm circumference was statistically significant at three
months post-intervention p < 0.001, but not statistically significant at six months post-intervention.

Conclusion:
It is clear that health education intervention has an important role in improving the nutritional
status of adolescents.
Comparison of Imaging Modalities in the Diagnosis and Tumor Staging of
Colorectal Adenocarcinoma
Authors: Serinsöz Serdar , Aktürk Remzi 
Published: December 2022

Background:
Colorectal cancer is a malignancy that affects the gastrointestinal tract. Clinical diagnosis has routinely been done with colonoscopy in conjunction with digital rectal and histological examinations.

Objective:
We show that CT, MRI, and MRI-DWI are all effective in T-staging colorectal adenocarcinoma when compared to pathology examination. However, differences in the detection and diagnostic agreement rates between the imaging modalities for the specific T-stages were observed.

Methods:
Fifty-six patients diagnosed with colorectal adenocarcinoma and underwent contrast-enhanced abdominal CT, non-contrast MRI, or MRI-DWI between January 2014 and March 2020 were retrospectively examined and compared to a biopsy or postoperative pathological T-stage.

Results:
The total diagnostic agreement rate for CT, MRI, and MRI-DWI were 58.93%, 76.79%, and 85.71%, respectively. T-staging was statistically and significantly different across all four stages analyzed for all imaging modalities. The T1-stage for MRI and MRI-DWI compared to pathology rates were statistically significant, whereas MRI-DWI and CT both demonstrated statistical significance for T3 and T2 stage comparison, respectively. Furthermore, a statistical and significant difference between the total stage comparison of MRI, MRI-DWI, and CT compared individually to pathology was also observed. All imaging modalities were able to statistically and significantly identify tumors based on tumor size according to the ROC analysis.

Conclusion:
These data suggest that CT, MRI, and MRI-DWI can identify and aid visually in the diagnosis of adenocarcinoma colorectal cancer. MRI-DWI is more specific and sensitive in the diagnosis and staging of colorectal tumors.
Detection of Cerebrovascular Diseases using Novel Discrete Component
Wavelet Cosine Transform
Authors: Pal Bandana , Jain Shruti 
Published: December 2022

Aims:
Detecting and classifying a brain tumor amid a sole image can be problematic for doctors, although improvements can be made with medical image fusions.

Background:
A brain tumor develops in the tissues surrounding the brain or the skull and has a major impact on human life. Primary tumors begin within the brain, whereas secondary tumors, identified as brain metastasis tumors, are generated outside the brain.

Objective:
This paper proposes hybrid fusion techniques to fuse multi-modal images. The evaluations are based on performance metrics, and the results are compared with conventional ones.

Methods:
In this paper, pre-processing is done considering enhancement methods like Binarization, Contrast Stretching, Median Filter, & Contrast Limited Adaptive Histogram Equalization (CLAHE). Authors have proposed three techniques, PCA-DWT, DCT-PCA, and Discrete ComponentWaveletCosine Transform (DCWCT), which were used to fuse CT-MR images of brain tumors.

Result:
The different features were evaluated from the fused images, which were classified using various machine learning approaches. Maximum accuracy of 97.9% and 93.5% is obtained using DCWCT for Support Vector Machine (SVM) and k Nearest Neighbor (kNN), respectively, considering the combination of both feature's shape & Grey Level Difference Statistics. The model is validated using another online dataset.

Conclusion:
It has been observed that the classification accuracy for detecting cerebrovascular disease is better after employing the proposed image fusion technique.