bluuebunny/crossref_metadata_2025_split huggingface dataset:
Intelligent Approach of Packet Drop Mitigation in Wireless Infrastructure- Less Networks due to system fault and Malicious Nature
Authors: P Venkat Reddy , Mohammad Arshad Ahmad Khan , G Prasanth Kumar , Gaddameddi Dinesh Kumar , Abualigah Laith 
Published: January 2023

Abstract
Wireless Infrastructure-Less Networks comprise of the features such as Adaptation and self-forming, due to which one can establish the network regardless of geographical location. The network aims to enable connectivity anywhere and any place. The network applications are Health care, military, and disaster recovery. The applications are sensitive, and secure communication is a challenging and vital issue, as one wrong message can affect the objective of the application. The routing process is responsible for computing the path and forwarding the information through the calculated route to enable communication in any network. However, network routing is challenging and vulnerable due to its peer-to-peer nature. One of the routing problems in the network is packet dropping, which could be due to selfishness, malicious nature, or system fault. Different mechanisms are designed to prevent packet drops in the network, but they could not differentiate whether the packet drops were due to malicious reasons or system faults. The Paper aims to design an intelligent mechanism to mitigate packet drops from the network by differentiating packet drops' causes. The proposed work validated with a network simulator, and results show that the proposed mechanism effectively prevents packets drop from the network.
A Feature Evolution Aware Classification Framework for Streaming Data using Dynamic Autoencoder and Ensembled Learning
Authors: KT Jafseer , S Shailesh , A Sreekumar 
Published: January 2023

Abstract
Recent advancements in the field of data mining and knowledge discovery have opened up a multitudeof research opportunities related to streaming data. One major challenge in handling streaming data isbuilding efficient machine-learning models that handle the dynamics of features and concepts. Focusing more on features, feature drift and evolving features are among the most unaddressed issues. It isdifficult to deal with the evolution of features in a stream; since most machine learning algorithms arerestricted to learning a fixed number of features. In the proposed work, a machine learning frameworkfor data streams with feature evolution is introduced. This methodology utilizes a dynamic autoen-coder to translate varying features into feature spaces with fixed dimensions. For classification, we constructed an ensemble model with Logical Regression, a Decision Tree, a Support Vector Machine,and K-Nearest Neighbor(KNN), which preserves past concepts. Based on experimental results, themodel was found to be promising for a variety of datasets, including Weather data (accuracy86%), Electricity data (94%), and Forest Cover types data (95%). By effectively combining deep-learning techniques with traditional approaches, many streaming data challenges can be addressed
Ligamentum teres hepatis wrapping of the gastroduodenal artery stump protection during pancreaticoduodenectomy: a single-center experience
Authors: Wu Xiang , Xu Xiao , Hu Xiaodong , Lu Jun , Fang Shenzhe , Wang Luoluo , Ruan Yi , Lu yeting , Yucheng Huang , Zhou Xinhua , Li Hong 
Published: January 2023

Abstract
Background
Stump hemorrhage of the gastroduodenal artery (GDA) is a major postoperative risk of pancreaticoduodenectomy (PD). We determined whether wrapping the GDA stump with the ligamentum teres hepatis (LTH) would reduce postoperative pancreaticoduodenal bleeding.
Methods
We retrospectively reviewed 148 patients who underwent PD at Li Huili Hospital of Ningbo Medical Center from November 2015 to September 2021. We compared perioperative data from 63 PD patients without wrapping of the GDA (the unwrapped group) and 85 whose GDA stump were wrapped (the wrapping group).
Results
There was no significant difference in the groups' baseline characteristics. The postoperative GDA stump bleeding incidence was significantly lower in the wrapped group than in the unwrapped group (7.9% vs. 0% p = 0.013). There was no significant difference in the incidence of other complications (e.g., intraabdominal infection, pancreatic fistula, biliary fistula, and gastrointestinal bleeding).
Conclusions
Using the LTH to wrap the GDA stump during PD can reduce the incidence of bleeding from the GDA stump but not the incidence of other complications.
Importance of derivatization in cholesterol analysis using GC-FID for bakery products containing plant and animal lipid
Authors: Islam Md. Atiqual , Hong Won-Ho , Chun Jiyeon 
Published: January 2023

Abstract
Cholesterol can be analyzed using derivatization and non-derivatization techniques. Analysis without derivation is a simple and reproducible method for some samples. However, cholesterol and α-tocopherol could be eluted together during gas chromatographic analysis if the sample contains both analytes. In this study, the importance of derivatization in cholesterol analysis in bakery products was investigated. Derivatized and non-derivatized cholesterol and α-tocopherol standards were eluted on HP-5 capillary column in GC-FID. The cholesterol and α-tocopherol standard resolution (Rs) using derivatization technique was 3.1 which is considered as well separated (> 1.5) based on AOAC guidelines. However, cholesterol and α-tocopherol were coeluted by GC-FID without derivatization. The GC-FID cholesterol analytical method was validated and applied for cholesterol determination in bakery samples. Method validation results were effective to be used for bakery products: limits of detection (0.03 mg/100 g) and quantification (0.08 mg/100 g), accuracy (102.1% recovery) and precision (repeatability: relative standard deviation (RSD) 1.5%; reproducibility: RSD 1.9%). The cholesterol content of bakery products range from 2.76 ± 0.06 mg/100 g (castella) to 114.26 ± 4.72 mg/100 g (chrysanthemum bread) depending on the ingredients used. This study shows that derivatization step is essential in cholesterol analysis of bakery products containing both cholesterol and α-tocopherol to prevent possible overestimation of cholesterol.
Differential renal expression of IFN-α and BAFF and its relevance to disease activity and treatment responsiveness in patients with proliferative lupus nephritis
Authors: Nawata Aya , Nakayamada Shingo , Hisano Satoshi , Miyazaki Yusuke , Miyamoto Tetsu , Shiba Eisuke , Hisaoka Masanori , Tanaka Yoshiya 
Published: January 2023

Abstract
Background
Molecularly targeted therapies are emerging for treating lupus nephritis (LN). This study aimed to assess the immunohistochemical findings of the cytokines in renal tissue and their pathological and clinical relevance in LN.
Methods
Fifty patients with proliferative LN (ISN/RPS class III and IV), five with LN class II, IgA nephropathy, and five with idiopathic hematuria as controls were enrolled. Immunohistochemistry (IHC) for CD3, CD20, interferon-alpha (IFNα), interleukin (IL)-12/p40, and B-cell activating factor (BAFF) was performed. The IHC score was calculated by scoring the number of positive cells/area of the cortex. Proliferative LN cases were grouped by the dominant expression of IFN-α, IL-12/p40, and BAFF, and subsequently, clinicopathological features were compared.
Results
Clinical data of patients with proliferative LN included urine protein creatinine ratio, 2.2 g/gCre; anti-ds-DNA antibody, 200.9 IU/mL; CH50, 21.9 U/mL; Systemic Lupus Erythematosus Disease Activity Index, 19.8 points. Proliferative LN cases, including class III (n = 18) and IV (n = 32), were classified into three subgroups according to the IHC score based on the dominancy of IFN-α (n = 17), IL-12 (n = 16), and BAFF group (n = 17) proteins. Hypocomplementemia and glomerular endocapillary hypercellularity were significantly increased in the IFN-α group, whereas chronic lesions were significantly higher in the IL-12 group (p < 0.05). The IFN-α group had a poorer renal prognosis in treatment response after 52 weeks.
Conclusions
The IHC of IFN-α, IL12, and BAFF for proliferative LN enabled grouping. Especially, the IFN-α and IL-12 groups showed different clinicopathological features and renal prognoses. The results indicated the possibility of stratifying cases according to the IHC of target molecules, which might lead to precision medicine.
Research on the stability and control technology of the surrounding rock in gob-side entry driving in an extrathick coal seam with varying thickness
Authors: Shan Renliang , Liu Shuai , Wang Hailong , Li Zhaolong , Huang Pengcheng , Dou Haoyu , Wu Jingtong 
Published: January 2023

Abstract
The deformation and failure characteristics and control methods of the surrounding rock of a roadway have always been the focus of attention when gob-side entry driving (GED) is performed in extrathick coal seams. In this paper, field investigation, theoretical calculations and numerical simulations are performed to analyse the distribution range of the limit equilibrium area in the coal seam near the gob (CSNG) before GED and the stability of the surrounding rock after GED for different coal seam thicknesses. The research results are as follows: (1) If a 5 m coal pillar is planned for GED, the limit equilibrium area will gradually expand with increasing coal seam thickness. When the coal seam thickness exceeds 18 m, the driving position will be completely in the limit equilibrium area. (2) After GED, with the increase in coal seam thickness, the bearing capacity of the roadway roof and two sides gradually decreases, and the range of the plastic zone gradually expands. The roadway deformation changes from local deformation to large deformation, and the coal seam side and roof corner are the most affected areas. Based on these results and a new support technology called anchor cable with c-shaped tube (ACC), the surrounding rock control strategy and full-section ACC support scheme are proposed. The bidirectional control of the surrounding rock (in the axial and tangential directions) in the gob-side roadway of the extrathick coal seam is realized, as verified by numerical simulation and field application data.
A nomogram based on radiomics to predict microvascular invasion and overall survival in intrahepatic cholangiocarcinoma
Authors: Miao Geng yun , Qian Xian ling , Zhang Yun fei , Wu Fei , Huang Peng , Wang Fang , Zhou Chang wu , Lu Xin , Yang Chun , Zeng Meng su 
Published: January 2023

Abstract
Background: Intrahepatic cholangiocarcinoma (ICC) is aggressive and ranks second among primary liver cancer. Microvascular invasion (MVI) is a predictor of poor prognosis in ICC, and preoperative prediction of MVI status can facilitate personalized therapeutic regime.
Purpose: To establish a comprehensive model based on MR radiomics for MVI status stratification and overall survival prediction in ICC patients preoperatively.
Methods: 249 ICC patients were randomized into training and validation cohort (174:75) and a time-independent test cohort with 47 ICC patients were enrolled. Independent clinical and imaging predictors were identified by univariate and multivariate logistic regression analysis. The radiomic model was based on the robust radiomic features extracted by logistic regression classifier and the least absolute shrinkage and selection operator algorithm. The imaging-radiomics (IR) model integrates the independent predictors and robust radiomics features. The predictive efficacy of models is evaluated by receiver operating characteristic curve, calibration curve and decision curve. Multivariate Cox analysis identified the independent risk factors of overall survival, Kaplan-Meier curves were plotted and nomogram visualized the predictive model.
Results: Imaging model comprises tumor size and intrahepatic duct dilatation, radiomics model comprises 25 stable radiomics features. The IR model shows desirable performance (AUCtraining= 0.890, AUCvalidation= 0.885 and AUCtest= 0.815). The calibration curve and decision curve validate the clinical utility. Overall survival predicted by histological and IR model-predicted MVI groups exhibit similar predictive efficacy.
Conclusion: IR model and nomogram based on IR model-predicted MVI status may be a potential tool in MVI status stratification and overall survival prediction of ICC patients preoperatively.
Nodakenin ameliorated TNBS-induced experimental colitis in mice by inhibiting intestinal epithelial cell pyroptosis
Authors: Geng Zhijun , Li Jing , Huang Ju , Zhao Tianhao , Wang Xinru , Bao Yunxi , Ding Yingao , Deng Min , Wang Yueyue , Song Xue , Zhang Xiaofeng , Wang Lian , Zuo Lugen , Hu Jianguo 
Published: January 2023

AbstractBackground and Aims Pyroptosis of intestinal epithelial cells is associated with intestinal barrier dysfunction and the intestinal inflammatory symptoms of Crohn's disease (CD). The natural plant monomer, nodakenin (Nod), inhibits NOD-like receptor protein 3 (NLRP3) expression, and this study aimed to evaluate its effect on CD-like colitis, as well as possible mechanisms. Methods Using TNBS intervention mice as CD animal models, the therapeutic effect of Nod on CD-like colitis in mice was explored through disease activity index (DAI) analysis, weight change, histological analysis, inflammatory factor expression and intestinal barrier function. In addition, the direct effect of Nod on the pyroptosis of intestinal epithelial cells was explored by immunofluorescence and western blot detection in LPS-/ATP-induced colon organoid models. Furthermore, through bioinformatics and in vivo and in vitro experimental verification, the potential mechanism by which Nod protects intestinal epithelial cells was explored. Results Nod intervention improved colitis and intestinal barrier function in TNBS-induced mice, as demonstrated by improvements in weight loss, DAI, tissue inflammation score, proinflammatory factor expression, and intestinal permeability. In addition, Nod inhibited the pyroptosis of intestinal epithelial cells in colitis mice and LPS-/ATP-induced colon organoids, as well as the expression of key pyroptosis regulators, such as NLRP3, GSDMD-N, and cleaved-caspase-1. Mechanistically, Nod inhibited the activation of PI3K/Akt signalling a in intestinal epithelial cells in TNBS-induced mice and LPS-/ATP-induced colonic organoids. Conclusions Nod restrained the pyroptosis of intestinal epithelial cells to protect the intestinal barrier of CD-like colitis by inhibiting PI3K/Akt signalling, this may provide a new option for the treatment of Crohn's disease.
Allocation of virtual machine in a cloud environment based on machine learning
Authors: kamoun-abid Ferdaous , Frikha Hounaida , Meddeb-Makhoulf Amel , Zarai Faouzi 
Published: January 2023

Abstract
Nowadays, the technics of health applications that use the cloud are being developed. However, the existing methods are static and cannot approve dynamic changes in the dynamic environment (for example, when the network and virtual machines (VMs) have a change in resources values) during the execution process. Since the cloud environment provides virtualized resources for computing and for storage (for example: health information) with used many virtual machines. Also, data applications require communication between these virtual nodes, placement of VMs and data location to achieve overall computation time. The majority of scientific researchers present in the current literature that the selection of physical nodes to place data and virtual machines as not separate problems. In addition, in the cloud environment, the major challenge is network security. So, there is no better solution than firewalls which are used to filter packets (detect spam packets). But the problem is that the cloud has a dynamic topology, for that these firewalls cannot examine the content from inside the packet and the network becomes vulnerable. This traditional firewall they only provide basic protection at the network layers and cannot work in complex topologies like Cloud Computing. For this, the risk that we will have unprotected areas. Regarding this challenge, in this article, we proposed to divide the cloud topology into zones, so that each zone is supervised by a controller. Thus, each virtual machine is supervised by a firewall. For remote network saturation with exchanged data between controllers and VMs, the number of controllers must be minimized and the addition of a new VM must be well placed in our new architecture (Divided-Cloud). For this, in this work, we used a learning method of Machine Learning (ML) "Decision Tree" at the level of the addition of a new controller. According to the affected result, the algorithm reaches its maximum accuracy which is equal to 83%. Furthermore, about the location of a new VM, we used a “KNeighborsClassifier” calcification method and it gives an accuracy is equal to 83%.
Impact of rater experience on detecting MRI features of idiopathic intracranial hypertension
Authors: Bsteh Gabriel , Marik Wolfgang , Macher Stefan , Schmidbauer Victor , Krajnc Nik , Pruckner Philip , Mitsch Christoph , Novak Klaus , Wöber Christian , Pemp Berthold 
Published: January 2023

Abstract
Background: In idiopathic intracranial hypertension (IIH), certain MRI features are promising diagnostic markers, but impact of neuroradiologist’s experience and specific referral question on identifying these features correctly is unknown. Therefore, we compared ratings in real-world setting by radiologists with unknown awareness of IIH-MRI-features, with the ratings of a junior neuroradiologist aware of features but without special IIH training, and a senior neuroradiologist with experience in IIH imaging (gold standard).
Methods: For comparing the 3 settings, we included patients from the Vienna-Idiopathic-Intracranial-Hypertension (VIIH) database with definitive IIH according to Friedman criteria and routine cranial MRI performed during diagnostic work-up and assessed frequencies of empty sella (ES), optic nerve sheath distension (ONSD), optic nerve tortuosity (ONT), posterior globe flattening (PGF) and transverse sinus stenosis (TSS).
Results: We evaluated MRI scans of 84 IIH patients (88% female, mean age 33.5 years). By gold standard, 78.6% had ≥1 IIH-MRI-feature and 60.0% had ≥3 features with ONSD most frequent (64.3%) followed by TSS (60.0%), ONT (46.4%), ES (44.4%) and PGF (23.8%). Compared to gold standard, IIH features were described significantly less frequently in routine MRI reports (≥1 feature 64.3%, ≥3 features 15.7%, ONSD 28.6%, ONT 13.1%, PGF 4.8%, TSS 42.9%, p<0.01 respectively) except for ES (42.9%, p=0.9). Specific referral question regarding IIH increased detection rates in routine reports, but rates of ONSD, ONT and PGF were still significantly lower than by gold standard.
Contrary, rating by a neuroradiologist without special training produced significantly higher frequencies of ≥1 / ≥3 MRI features (95.2% and 72.5%, p<0.01 respectively), ONSD (81.0%, p<0.01) and ONT (60.7%, p<0.01), but not ES (47.6%), PGF (29.8%) and TSS (68.1%).
Conclusions: IIH-MRI-features are underestimated in routine MRI reports and partly overcalled by less experienced neuroradiologists, driven by features less well known or methodologically difficile. Reevaluation of MRI scans by an experienced rater (and to a lesser degree specific referral question) improves diagnostic accuracy.
Etiology and Prevention of Recurrent Cystitis Based on Vaginal Microbiota: A Retrospective Cohort Study
Authors: Sekito Takanori , Wada Koichiro , Ishii Ayano , Iwata Takehiro , Matsubara Takehiro , Tomida Shuta , Watanabe Masami , Araki Motoo , Sadahira Takuya 
Published: January 2023

Abstract
Background: The etiology of recurrent cystitis from vaginal microbiota and importance of vaginal Lactobacilluswere determined.
Materials and Methods: Vaginal samples were obtained from postmenopausal women and classified into four groups: healthy controls; uncomplicated cystitis; recurrent cystitis; and recurrent cystitis prevented by Lactobacillus crispatus-containing vaginal suppositories (prevention). Principal coordinate analysis was used to analyze 16S rRNA gene sequencing data from the vaginal microbiome.
Results: Among 129 vaginal samples from 39 women, the vaginal bacterial communities were divided into three clusters (A, B, and C) using cluster analysis. The top six taxa were as follows: Prevotella, Lactobacillus, Streptococcus, Enterobacteriaceae, Anaerococcus,and Bifidobacterium. Fourteen of 14 (100%) samples from the recurrent cystitis and 51 of 53 (96%) samples from the prevention groups were in clusters B and C, respectively, while 29 of 38 (76%) samples from the healthy and 14 of 24 (58%) samples from the uncomplicated cystitis groups were in cluster A. The principal coordinate analysis plots in the uncomplicated cystitis group were similar to the healthy group, indicating a large separation between the recurrent cystitis group and the uncomplicated cystitis group. Among patients with recurrent cystitis, Lactobacillus was undetectable before administration of Lactobacillus crispatus-containing vaginal suppositories, while the median relative abundance of Lactobacillus was 19% during administration of Lactobacillus crispatus-containing vaginal suppositories (p=0.0211), reducing the average cystitis episodes per year (6.3 vs. 2.4, p=0.0015).
Conclusions: The vaginal microbiota of postmenopausal women with recurrent cystitis and uncomplicated cystitis differed. Vaginal administration of Lactobacillus prevented recurrent cystitis by stabilizing vaginal dysbiosis and causing a loss of pathogenic bacteria virulence.
Pteris cretica und Adiantum raddianum (Pteridophyta) in Licht- und Brunnenschächten im Ruhrgebiet – breiten sich subtropische Farnarten in Deutschland aus?
Authors: Keil Peter , Sarazin Andreas , Fuchs Renate , Riedel Christian 
Published: January 2023

Im Rahmen stadtfloristischer Untersuchungen des Ruhrgebietes wurden in Brunnen- und Kellerlichtschächten Vorkommen von Pteris cretica var. albolineata (Pteridaceae) und Adiantum raddianum (Adiantaceae) nachgewiesen, beide taxonomisch im weiteren Sinne zu verstehen. Die Wuchsorte, Populationsgrößen und Begleitvegetation werden beschrieben, Status und Ausbreitungstendenzen der Taxa diskutiert.
Gattung Alchemilla im Französischen und Schweizer Jura
Authors: Hügin Gerold , Fröhner Sigurd Erich 
Published: January 2023

Alchemilla pseudodecumbens wird als Art neu beschrieben. Im Gegensatz zur weit verbreiteten A. decumbens bleibt ihr Areal auf den Jura beschränkt. In Abbildungen, Merkmals- und Bestimmungstabellen wird A. pseu­dodecumbens mit ähnlichen Arten verglichen (A. decumbens, A. demissa, A. frigens, A. lunaria, A. semisecta, A. subcrenata, A. undulata, A. versipila).
Calixarene: The Dawn of a New Era in Forensic Chemistry
Authors: Upadhyay Himali , Harikrishnan Uma , Bhatt Devanshi , Dhadnekar Namrata , Kumar Kapil , Panchal Manthan 
Published: January 2023

Abstract:
Globally, rapid, ultrasensitive, and ultraselective detection of forensic evidence is
critically required for social security and support. In the past four decades, calixarenes have
been the focus of intensive research in the invention of several extractants, transporters, stationary
phases, electrode ionophores, and optical and electrochemical sensors. This review is
ardent about calixarene, a new class of selective and sensitive forensic sensors. It has become
clear that calix[n]arenes are particularly attractive building blocks for supramolecular chemistry
due to their synthesis on a large scale, distinctive concave molecular architecture, tunable
inner cavity size, exceptional derivatization capabilities, and a broad range of applications.
This paper opens up new avenues for the creation of on-site detection kits for forensic evidence,
which will speed up the detection procedure.