bluuebunny/crossref_metadata_2025_split huggingface dataset:
A secure data transmission and efficient data balancing approach for 5G‐based IoT data using UUDIS‐ECC and LSRHS‐CNN algorithms
Authors: Yadav Kusum , Jain Anurag , Alharbi Yasser , Alferaidi Ali , Alkwai Lulwah M. , Ahmed Nada Mohamed Osman Sid , Hamad Sawsan Ali Saad 
Published: January 2022

AbstractDue to the realization of 5G technology, the Internet of things (IoT) has made remarkable advancements in recent years. However, security along with data balancing issues is proffered owing to IoT data's growth. The universally unique identifier short input pseudo‐random (SiP) hash‐based elliptic curve cryptography (UUDIS‐ECC) centred secure data transfer (DT) and linear scaling Rock Hyraxes swarm‐based convolutional neural network (LSRHS‐CNN) centred 5G IoT data balancing are proposed here to address those issues. Authentication, destination selection, validation, secure DT, and also load balancing are the proposed method's five phases. Initially, during the registration phase, the Length Nano ID (LNanoID) is created in the authentication. The user is permitted to further communicate if the LNanoID is matched with the already saved LNanoID. The destination is selected if the user is authorized. Utilizing the sender and the receiver's public key, the hash code is produced in the validation centre by the SiP hash function after destination selection. After that, by employing the UUDIS‐ECC algorithm, the IoT data is safely transmitted towards the destination. The 5G IoT data is balanced by using the LSRHS‐CNN algorithm during DT. Superior results are attained by the proposed methods analogized to existing research methods.
Forecast of transmission line clearance using quantile regression‐based weather forecasts
Authors: Karimi Soheila , Dawson Leanne , Musilek Petr , Knight Andrew M. 
Published: January 2022

AbstractThis paper uses dynamic thermal line rating methods and a probabilistic prediction methodology to forecast line clearance and conductor temperature and evaluate the risk of clearance encroachment. A transient model is used to predict conductor temperature at different prediction levels. Clearance is estimated using a relationship model, developed based on historical measured clearance and conductor temperature data. Additional sensitivity analysis is performed to determine the applicability of ambient‐adjusted predictions when considering a lightly loaded line compared to a heavily loaded line. The developed methodology enables utilities to make decisions on line loading in advance of real‐time operation with information on confidence associated with that decision.
Impact of renewable energy integration on a novel method for pricing incentive payments of incentive‐based demand response program
Authors: Nguyen Duc Tuyen , Tran Thanh Son , Do Van Long , Tran Quoc Ngu , Takano Hirotaka 
Published: January 2022

AbstractWith the desire to improve the efficiency and the reliability of the power system as well as the advancement of smart meter and communication networks, the demand response (DR) program has been facilitated to become a key component in the smart grid. Many current researches focus on incentives‐based DR research orientation. In addition, accurately quantifying the incentive payment is also a significant challenge because of the fact that the incentive payment is currently determined depending on knowledge, experience, and experimental results. This paper presents a method of pricing incentive payments for the incentive‐based DR program through social welfare maximization framework which ensures the benefits of all participants involved. Besides, this study also proposed the quantification of incentive payments by a theoretical approach based on the satisfaction level of electricity consumers which is approximated through a fuzzy logic model. Moreover, the impact of renewable energy sources on the pricing mechanism and benefits of all parties participating in the DR program is also discussed through the calculation cost for renewable energy integration and emission cost function. The results show the validity and feasibility of the method.
Improving visual multi‐object tracking algorithm via integrating GM‐PHD and correlation filter
Authors: Yang Jinlong , Ni Peng , Miao Jiani , Ge Hongwei 
Published: January 2022

AbstractThe traditional visual multi‐object tracking methods based on the Gaussian mixture probability hypothesis density filter are generally not well adapted for tracking the targets in the complex scenarios, where there are a large number of unknowable newborn objects and occluded objects, even some missing objects cannot be associated with their previous trajectories when they are redetected. An improved visual multi‐object tracking algorithm is proposed by integrating an improved efficient convolution operator of the correlation filter and the Gaussian mixture probability hypothesis density filter. First, a similarity matrix based on the intersection‐of‐union is proposed for classifying the objects of survival objects, newborn objects, and then the improved efficient convolution operator method is employed to further identify whether the objects disappear or are missing. Moreover, the feature pyramid similarity is proposed to update the objects for enhancing the tracking accuracy. Finally, compared with some challenging methods on some challenging video sequences from publicly available MOT17 dataset, the proposed Gaussian mixture probability hypothesis density–feature pyramid similarity—efficient convolution operator* method has a good performance on detecting the newborn objects, occluded objects, blurring objects and re‐identifying the missing objects with higher multiple object tracking accuracy.
Channel splitting attention network for low‐light image enhancement
Authors: Lu Bibo , Pang Zebang , Gu Yanan , Zheng Yanmei 
Published: January 2022

AbstractLow‐light enhancement is a crucial task in computer vision because of the limited dynamic range of digital imaging devices in poor lighting conditions. Images taken under low‐light conditions often suffer from insufficient brightness and severe noise. At present, many models based on convolutional neural networks have been proposed to enhance low‐light images. However, most models treat the features on different channels equally, which is not conducive to models learning hierarchical features. Consequently, the method proposed a channel splitting attention network (CSAN) that divides the shallow features into two branches, the residual and dense branches, transmitting different information. Residual branching facilitates feature reuse, while dense branching promotes the exploration of new features. In addition, CSAN uses merge‐and‐run mappings to assist information integration between different branches and distinguishes the information contained in different branch features through an attention module designed in this paper. Multiple experiment results show that the method proposed is superior to state‐of‐the‐art methods in qualitative and quantitative evaluation. Furthermore, CSAN can better suppress chromaticity aberration while enhancing low‐light images.
Case report – Selective internal radiation therapy (SIRT) in a patient with hyperinsulinemic hypoglycemia due to a metastatic insulinoma with late onset of endocrine activity
Authors: Henker Robert , Lincke Thomas , Hoffmeister Albrecht 
Published: January 2022

AbstractInsulinomas are the most common functioning pancreatic neuroendocrine tumors (NET), which can lead to hyperinsulinemic hypoglycemia. In advanced metastatic stages of the disease, the prognosis is poor. Patients with hormonally active insulinomas primarily present with features of neuroglycopenia. Transformation from a nonfunctional to a functional NET is rare. Here, we present a case of a 59-year-old male adult with a metastatic insulinoma and late onset of endocrine activity. Besides medical treatment with Diazoxide and small frequent feedings, continuous intravenous glucose application was eventually required to avoid hypoglycemia. Furthermore, we show that selective internal radiation therapy (SIRT) can be an effective therapeutic approach for symptom reduction in advanced metastatic disease.
SARS-CoV-2 vaccination does not induce relapses of patients with inflammatory bowel disease
Authors: Elkharsawi Ahmed , Arnim Ulrike von , Schmelz Renate , Sander Cornelia , Stallmach Andreas , Teich Niels , Walldorf Jens , Reuken Philipp A. 
Published: January 2022

Abstract
Background Vaccination against SARS-CoV-2 is a promising strategy to protect immunocompromised IBD patients from a severe course of COVID-19. As these patients were excluded from initial clinical vaccination trials, patients frequently express concerns regarding the safety of these vaccines, especially whether vaccination might trigger IBD flares (“hit-and-run-hypothesis”).
Methods In order to assess the risk of an IBD flare after vaccination against SARS-CoV-2, an anonymous survey was performed at five German IBD centers and one patient organization (Deutsche Morbus Crohn/Colitis ulcerosa Vereinigung (DCCV) e.V.) in August and October 2021.
Results The questionnaire was answered by 914 patients, 781 of whom reported a previous vaccination against SARS-CoV-2 (85.4%). Vaccination against SARS-CoV-2 was not associated with an increased risk of IBD flares (p=0.319) or unscheduled visits to the IBD physician (p=0.848). Furthermore, typical symptoms of an IBD flare including abdominal pain, increases in stool frequency, or rectal bleeding were not influenced by the vaccination.
Conclusion Vaccination against SARS-CoV-2 is safe in IBD patients. These results may help to reduce fears regarding the vaccination in IBD patients. Our results can help to reduce fears in IBD patients regarding the SARS-CoV-2 vaccine. A close communication between patients and physicians before and after the vaccination may be beneficial.
Severe alcoholic hepatitis as precipitant for organ failure and ACLF
Authors: Trebicka Jonel , Louvet Alexandre , Arroyo Vicente , Jalan Rajiv , Shah Vijay H. , Moreau Richard 
Published: January 2022

AbstractAlcoholic hepatitis is the acute deterioration of alcoholic liver disease with rapid onset or worsening of jaundice, which in severe cases, may transition to acute-on-chronic liver failure with extremely high short-term mortality, increasing with the number and severity of hepatic and extra-hepatic organ dysfunction. Diagnosis and treatment are insufficient and challenging, especially due to the complex, multi-factorial and as yet not fully understood pathogenesis. While current management is limited to steroids and best supportive care, debate is ongoing concerning liver transplantation for selected patients, and several novel approaches are under way with mixed results. These drawbacks in disease management together with increasing prevalence in Germany, and generally in Western countries, constitute an unmet need for the healthcare systems. This review tries to summarize the current status of these aspects and provides an overview for pathogenesis, management and potential future treatments.
Inflammation in alcohol-associated liver disease progression
Authors: Lotersztajn Sophie , Riva Antonio , Wang Sai , Dooley Steven , Chokshi Shilpa , Gao Bin 
Published: January 2022

AbstractChronic alcohol consumption induces stress and damage in alcohol metabolising hepatocytes, which leads to inflammatory and fibrogenic responses. Besides these direct effects, alcohol disrupts intestinal barrier functions and induces gut microbial dysbiosis, causing translocation of bacteria or microbial products through the gut mucosa to the liver and, which induce inflammation indirectly. Inflammation is one of the key drivers of alcohol-associated liver disease progression from steatosis to severe alcoholic hepatitis. The current standard of care for the treatment of severe alcoholic hepatitis is prednisolone, aiming to reduce inflammation. Prednisolone, however improves only short-term but not long-term survival rates in those patients, and even increases the risk for bacterial infections. Thus, recent studies focus on the exploration of more specific inflammatory targets for the treatment of severe alcoholic hepatitis. These comprise, among others interference with inflammatory cytokines, modulation of macrophage phenotypes or targeting of immune cell communication, as summarized in the present overview. Although several approaches give promising results in preclinical studies, data robustness and ability to transfer experimental results to human disease is still not sufficient for effective clinical translation.
Liver specific, systemic and genetic contributors to alcohol-related liver disease progression
Authors: Schnabl Bernd , Arteel Gavin E. , Stickel Felix , Hengstler Jan , Vartak Nachiket , Ghallab Ahmed , Dooley Steven , Li Yujia , Schwabe Robert F. 
Published: January 2022

AbstractAlcohol-related liver disease (ALD) impacts millions of patients worldwide each year and the numbers are increasing. Disease stages range from steatosis via steatohepatitis and fibrosis to cirrhosis, severe alcohol-associated hepatitis and liver cancer. ALD is usually diagnosed at an advanced stage of progression with no effective therapies. A major research goal is to improve diagnosis, prognosis and also treatments for early ALD. This however needs prioritization of this disease for financial investment in basic and clinical research to more deeply investigate mechanisms and identify biomarkers and therapeutic targets for early detection and intervention. Topics of interest are communication of the liver with other organs of the body, especially the gut microbiome, the individual genetic constitution, systemic and liver innate inflammation, including bacterial infections, as well as fate and number of hepatic stellate cells and the composition of the extracellular matrix in the liver. Additionally, mechanical forces and damaging stresses towards the sophisticated vessel system of the liver, including the especially equipped sinusoidal endothelium and the biliary tract, work together to mediate hepatocytic import and export of nutritional and toxic substances, adapting to chronic liver disease by morphological and functional changes. All the aforementioned parameters contribute to the outcome of alcohol use disorder and the risk to develop advanced disease stages including cirrhosis, severe alcoholic hepatitis and liver cancer. In the present collection, we summarize current knowledge on these alcohol-related liver disease parameters, excluding the aspect of inflammation, which is presented in the accompanying review article by Lotersztajn and colleagues.
Synthesis and Applications of Asymmetric Catalysis Using Chiral Ligands Containing Quinoline Motifs
Authors: Dhayalan Vasudevan , Dandela Rambabu , Devi K. Bavya , Dhanusuraman Ragupathy 
Published: January 2022

AbstractIn the past decade, asymmetric synthesis of chiral ligands containing quinoline motifs, a family of natural products displaying a broad range of structural diversity and their metal complexes, have become the most significant methodology for the generation of enantiomerically pure compounds of biological and pharmaceutical interest. This review provides comprehensive insight on the plethora of nitrogen-based chiral ligands containing quinoline motifs and organocatalysts used in asymmetric synthesis. However, it is confined to the synthesis of quinoline-based chiral ligands and metal complexes, and their applications in asymmetric synthesis as homogeneous and heterogeneous catalysts.1	Introduction2	Synthesis of Chiral Ligands Containing Quinoline Motifs2.1	Synthesis of Schiff Base Type Chiral Ligands2.2	Synthesis of Oxazolinyl-Type Chiral Ligands2.3	Synthesis of Chiral N,N-Type Ligands2.4	Synthesis of Amine-Based Chiral Ligands2.5	Synthesis of P,N-Type Chiral Ligands2.6	Synthesis of Chiral N-Oxide and Nitrogen Ligands3	Homogeneous Catalytic Asymmetric Reactions3.1	Asymmetric Carbon–Carbon Bond Formation Reactions3.2	Asymmetric Allylic Reactions3.3	Asymmetric Cycloadditions3.4	Asymmetric Carbene Insertions3.5	Asymmetric Pinacol Couplings3.6	Asymmetric Pudovik Reactions3.7	Asymmetric Strecker Reactions4	Heterogeneous Catalytic Asymmetric Reactions4.1	Asymmetric Cyclopropanation of Olefins4.2	Asymmetric Heck Reactions4.3	Asymmetric Hydrogenations4.4	Asymmetric Hydroformylation of Styrene4.5	Asymmetric Dialkoxylation of 2-Propenylphenols4.6	Asymmetric Cascade Cyclizations4.7	Asymmetric Allylic Alkylations4.8	Asymmetric Alkylation of β-Keto Esters4.9	Asymmetric C–H Bond Arylation Reactions4.10	Intramolecular Aerobic Oxidative Amination of Alkenes4.11	Asymmetric Oxidative Hydroboration of Alkenes5	Conclusions
p-Quinol Ethers and p-Quinone Monoacetals as Arylation and Oxidation Reagents: Tandem N-Arylation and α-Functionalization of Pyrrolidine via Redox-Neutral Three-Component Reaction
Authors: Shen Ruwei , Li Xiaojie , Xie Yuxin , Yin Kaixin , Zhu Dunru 
Published: January 2022

AbstractThe value of functional pyrrolidines in the fields of biology, pharmacology, catalysis, and natural product synthesis stimulates an intensive interest in developing new synthetic methods for this class of compounds, and direct functionalization of the simple pyrrolidine represents an attractive and effective approach. Herein, a metal-free protocol for direct N-arylation and α-functionalization of pyrrolidine via redox-neutral three-component reactions is reported, in which p-quinol ethers or p-quinone monoacetals serve as the arylation components and the formal oxidants for α-functionalization of pyrrolidine.
Synthesis of 2-Arylbenzothiazoles from Nitrobenzenes, Benzylamines, and Elemental Sulfur via Redox Cyclization
Authors: Teramoto Masahiro , Mizuno Takumi , Imoto Mitsutaka , Takeda Motonori , Nomoto Akihiro , Ogawa Akiya 
Published: January 2022

AbstractA sustainable advanced synthetic method was developed based on redox cyclization for the synthesis of 2-arylbenzothiazoles in good to excellent yields from readily available nitrobenzenes, benzylamines, and elemental sulfur without the use of transition-metal catalysts. This method is remarkable: nitro group reduction, a benzylamine redox reaction, sulfuration, condensation, and cyclization, all proceed in a single step to generate a heterocycle. It is also highly atom-economical and does not require any external oxidizing or reducing agents.
Synthesis of Aryl Nitriles via Aerobic Oxidative Cleavage of Aryl C=C Bonds with (NH4)2CO3 as the Nitrogen Source
Authors: Zheng Yi , Liu Wenbo , Ren Yun-Lai , Tian Xinzhe 
Published: January 2022

AbstractAn aerobic oxidative method was developed for conversion of arylethenes to aromatic nitriles using (NH4)2CO3 as the nitrogen source and Cu(NO3)2 as the catalyst. The present method allowed a series of arylethenes to underwent oxidative cleavage of C=C bonds to give the targeted products in low to high yields. In addition, the present conditions are compatible with many groups such as alkyl, alkoxy, N,N-dimethylamino, chloro, bromo, iodo, ester, cyano group, and so on.
Surgical Outcome of Spinal Subdural Abscesses: A Report of Four Consecutive Patients and Brief Review of the Literature
Authors: Abdallah Anas , Emel Erhan , Abdallah Betül Güler , Öztürk Delal , Çınar İrfan , Avyasov Rashid 
Published: January 2022

Abstract
Background and Study Aims Spinal subdural abscesses (SSAs) are rare and have a poor prognosis, especially when they are diagnosed late. In the literature, most cases of SSAs have been reported as case reports and small case series. In this study, we aimed to evaluate the surgical outcomes of four consecutive SSA patients.
Material and Methods In this retrospective study, we reviewed the medical charts of four SSA patients who underwent surgical intervention at two neurosurgical centers from September 2012 to September 2019.
Results Our series comprised four patients (three females and one male) with SSA (intradural–extramedullary) who were treated surgically. Holocord SSA was observed in two patients. The mean age was 15.1 ± 17.1 years. Unsteady gait and weakness of legs was the presenting symptom in all patients. The mean preoperative course was 5.3 ± 3.4 weeks. The causative pathogens were methicillin-resistant Staphylococcus aureus (MRSA), Escherichia coli, and Mycobacterium tuberculosis. In the fourth case, the pathogen was non–M. tuberculosis. In the 44th postoperative month, the patient underwent surgery for an intramedullary abscess. The causative pathogen was E. coli. Except for one adolescent male who was paraplegic at presentation, improvement was observed in all patients at their last follow-up after 54.0 ± 35.9 months after surgery.
Conclusion Early diagnosis and urgent surgical intervention are essential for a good prognosis in SSA cases. We recommend drainage followed by appropriate antibiotics.
A Novel Technique of Intradiverticular Papillary Canulation Aided by EVL Band Ligator in a Case of Lemmel's Syndrome
Authors: Subramanyam Shanmuganathan , Bachkaniwala Vatsal , Vikranth Chunduri V.V. , Ganesh P 
Published: January 2022

AbstractA duodenal periampullary diverticulum can cause changes in the local anatomy and pose a challenge for the cannulation of the bile duct. Cannulation may be much more difficult if the ampulla is located within the diverticula. We present the case of a 40-year-old man who developed obstructive jaundice and cholangitis because of the duodenal diverticula mechanically obstructing the common bile duct (Lemmel's syndrome). The papilla was located entirely within the duodenal diverticula and was brought out after placing endoscopic variceal ligation (EVL) bands. Biliary access and stenting could be done easily, after exposing the papilla. There were no complications during the procedure or the recovery period.
Dexmedetomidine Can Reduce the Level of Oxidative Stress and Serum miR-10a in Patients with Lung Cancer after Surgery
Authors: Zhou Yan , Dong Xia , Zhang Lei 
Published: January 2022

Abstract
Objective Lung cancer is a primary cause of cancer death. This study assessed the action of dexmedetomidine (DEX) on oxidative stress (OS) and microRNA 10a (miR-10a) in patients with lung cancer.
Methods Patients were given 1 µg/kg DEX before anesthesia and control patients were given saline. The duration of intraoperative one-lung ventilation (OLV) and fluid intake were determined, and mean arterial pressure, heart rate and bispectral index were observed at the time of before anesthesia (T0), immediately after endotracheal intubation (T1), 1 hour after OLV (T2), and 10 minutes before the end of surgery (T3). The expressions and correlations of miR-10a, inflammation and OS levels in the serum were analyzed. The effects of DEX intervention and miR-10a level on pulmonary complications were analyzed.
Results Patients with DEX intervention had lower levels of inflammation and OS during perioperative period than the controls. DEX intervention reduced miR-10a levels in patients during perioperative period. miR-10a in serum of patients with DEX intervention after surgery was positively-correlated with the concentrations of malondialdehyde, and inflammatory factors, while negatively-correlated with superoxide dismutase. The total incidence of postoperative pulmonary complications after DEX intervention was lowered. Patients with high miR-10a expression had a higher cumulative incidence of pulmonary complications than those with low miR-10a expression.
Conclusion DEX can reduce postoperative OS and plasma miR-10a level in patients with lung cancer, and high expression of miR-10a predicts a high incidence of postoperative pulmonary complications.