bluuebunny/crossref_metadata_2025_split huggingface dataset:
Asymmetric Total Synthesis of Hasubanan Alkaloids: Periglaucines A–C, N,O‐Dimethyloxostephine and Oxostephabenine
Authors: Ding Shaolei , Shi Yingbo , Yang Baochao , Hou Min , He Haibing , Gao Shuanhu 
Published: November 2022

AbstractWe report herein the asymmetric total synthesis of periglaucines A–C, N,O‐dimethyloxostephine and oxostephabenine. The key strategies used include: 1) a RhI‐catalyzed regio‐ and diastereoselective Hayashi‐Miyaura reaction to connect two necessary fragments; 2) an intramolecular photoenolization/Diels–Alder (PEDA) reaction to construct the highly functionalized tricyclic core skeleton bearing a quaternary center; 3) a bio‐inspired intramolecular Michael addition and transannular acetalization to generate the aza[4.4.3]propellane and the tetrahydrofuran ring.
Assessing the Progression of Early Atherosclerosis Mice Using a Fluorescence Nanosensor for the Simultaneous Detection and Imaging of pH and Phosphorylation
Authors: Li Jin , Zhao Na , Zhang Wei , Li Ping , Yin Xia , Zhang Wen , Wang Hui , Tang Bo 
Published: November 2022

AbstractThe inflammatory microenvironment involves changes in pH and protein phosphorylation state and is closely related to the occurrence and development of atherosclerosis (AS). Herein, we constructed a dual‐detection fluorescence nanosensor PCN‐NP‐HPZ based on post modification of MOFs, which realized the simultaneous detection and imaging of pH and phosphorylation through the pH‐sensitive group piperazine and the ZrIV node of the MOFs. The sensors were used to monitor changes in blood pH and phosphate levels at different time stages during atherosclerotic plaque formation. Two‐photon fluorescence imaging was also performed in the vascular endothelium. Blood tests combined with two‐photon fluorescence images indicated that in the early stage of AS, blood and tissue pH levels were lower than that of the normal mice, while phosphate and tissue phosphorylation levels were higher than that of the normal mice. The present study provides a new analysis method for the assessment of early atherosclerotic disease.
Synthesis and ex‐situ evaluation of quaternized polysulfone as an anion exchange ionomer for AEM technologies
Authors: Salazar‐Gastélum Luis J. , Beltrán‐Gastélum Mara , Calva‐Yañez Julio C. , Lin Shui Wai , Chávez‐Velasco Daniel , Salazar‐Gastélum Moisés I. , Pérez‐Sicairos Sergio 
Published: November 2022

AbstractAnion exchange ionomer (AEI) is a critical component used on anion exchange membrane fuel cell (AEMFC) and alkaline water electrolyzer (AWE). In this work, quaternized polysulfone with different functionalization degree were used as an ionomer to evaluate the performance in the oxygen reduction reaction (ORR) and hydrogen oxidation reaction (HOR), both implied in the operation of AEMFC and AWE. The synthesized ionomer exhibited a better performance in both reactions in comparison to the commercial AEI Aemion®. PSf‐130 exhibited better performance, since IEC and surface area increases twice regarding the same parameters in the PSf‐60. The PSf‐130 conductivity increases three times regarding the value exhibited by PSf‐60. Finally, the Jlim and Jk increases 67% and 100% for ORR. On the other hand, the same catalytic parameter increased 44% and 35% for HOR comparing both polysulfone‐based ionomers. The Tafel slope values do not showed drastically changes for different ionomers indicating the same rate determining step (RDS) and the same mechanism in both reactions for all the ionomers.
Redox Flow Batteries: Electrolyte Chemistries Unlock the Thermodynamic Limits
Authors: Chen Ruiyong 
Published: November 2022

AbstractRedox flow batteries (RFBs) represent a promising approach to enabling the widespread integration of intermittent renewable energy. Rapid developments in RFB materials and electrolyte chemistries are needed to meet the cost and performance targets. In this review, special emphasis is given to the recent advances how electrolyte design could circumvent the main thermodynamic restrictions of aqueous electrolytes. The recent success of aqueous electrolyte chemistries has been demonstrated by extending the electrochemical stability window of water beyond the thermodynamic limit, the operating temperature window beyond the thermodynamic freezing temperature of water and crystallization of redox‐active materials, and the aqueous solubility beyond the thermodynamic solubility limit. They would open new avenues towards enhanced energy storage and all‐climate adaptability. Depending on the constituent, concentration and condition of electrolytes, the performance gain has been correlated to the specific solvation environment, interactions among species and ion association at a molecular level.
PI velocity control of brushless DC motors using the extended dq transformation
Authors: Orrante‐Sakanassi Jorge , Hernández‐Guzmán Victor M. , Silva‐Ortigoza Ramón 
Published: November 2022

AbstractThis paper is concerned with velocity control in brushless direct current (BLDC) motors. Our control scheme is composed of a classical proportional–integral velocity controller and a proportional electric current controller computed in the extended dq coordinate system. We employ a finite time estimator that has been previously proposed in the literature intended to estimate the unknown back electromotive forces. This estimator has been proven previously to converge locally to the true values. This control strategy is proposed to eliminate torque ripple produced by the fact that back electromotive forces in BLDC motors are nonsinusoidal. We present, for the first time, a formal stability result for this control scheme: (a) the state has an ultimate bound provided that the estimate of the back electromotive forces is close to the true values, and (b) this ultimate bound can be rendered arbitrarily small when the estimate of the back electromotive forces converges to the true values. This result stands when starting from any initial condition such that the finite time estimator is ensured to converge to the true values. We verify our findings through simulations.
Metacognition vulnerabilities in time of crisis: Who to protect from suicidal risk?
Authors: Martin Sylvia , Oltra Anna , del Monte Jonathan 
Published: November 2022

AbstractIntroductionDuring stressful events, we are all trying to cope. We may not be equal depending on our emotional, psychological, and mental states. During the COVID‐19 pandemic, we could try to avoid negative information processing and anxiogenics content to prevent unhealthy thinking processes. One of the processes we can observe regarding our way of thinking and its impact on our psychological well‐being is Metacognition.MethodsWe recruited 104 outpatients in 2018. In 2020, during the pandemic, we recruited 216 outpatients and 176 healthy controls. We assessed their level of metacognition with the MCQ30 scale together with Suicidal risk and Hopelessness.ResultsAll three groups showed significant differences, with the nonclinical sample having higher scores in MCQ30. Regression revealed the different profiles where Hopelessness was the only predictor for the clinical sample, whereas metacognition was an adjunctive predictor of suicidal risk for the nonclinical sample.ConclusionOur results showed that the COVID‐19 crisis influenced metacognitive levels for the nonclinical sample but not for the clinical population. Moreover, Hopelessness predicted suicide risk for both populations, but Metacognition was also a predictive factor for the nonclinical sample. We conclude with the possible impact of preventive measures based on Metacognitive work that can be created out of these results.
Asymmetric Ruthenium Catalysis Enables Fluorophores with Point Chirality Displaying CPL Properties**
Authors: Sun Yang , Dhbaibi Kais , Lauwick Hortense , Lalli Claudia , Taupier Gregory , Molard Yann , Gramage‐Doria Rafael , Dérien Sylvie , Crassous Jeanne , Achard Mathieu 
Published: November 2022

AbstractA novel enantiopure π‐allylruthenium(IV) precatalyst allowed the enantioselective and stereospecific allylations of indoles and gave access to indolin‐3‐ones, containing vicinal stereogenic centers. Facile separation of diastereoisomers exhibiting opposite circularly polarized luminescence (CPL) activities in diverse solvents, including water, demonstrated the potential of these sustainable transformations and of the newly prepared molecules.
Oxidation of an Internal‐Edge‐Substituted [5]Helicene‐Derived Phosphine Synchronously Enhances Circularly Polarized Luminescence
Authors: Usui Kazuteru , Narita Nozomi , Eto Ryosuke , Suzuki Seika , Yokoo Atsushi , Yamamoto Kosuke , Igawa Kazunobu , Iizuka Naoko , Mimura Yuki , Umeno Tomohiro , Matsumoto Shota , Hasegawa Masashi , Tomooka Katsuhiko , Imai Yoshitane , Karasawa Satoru 
Published: November 2022

AbstractInvited for the cover of this issue are the groups of Kazuteru Usui and Satoru Karasawa at Showa Pharmaceutical University, and Yoshitane Imai at Kindai University. The image depicts how a phosphine‐oxide‐bearing helicene exhibits markedly enhanced CPL response in the excited state compared with that of one with a corresponding phosphine. Read the full text of the article at 10.1002/chem.202202922.
Single‐Use Technology in Biopharmaceutical Manufacture and Beyond
Authors: Langer Eric S. 
Published: November 2022

AbstractCOVID‐19 has accelerated the steadily growing demand for single‐use devices in bioprocessing. A recently published study shows single‐use equipment dominates small‐ and mid‐scale bioprocessing and starting to graduate to adoption for larger scale commercial manufacturing. With advancing technology, knowledge, adoption and experience, future progress and market expansion are expected. The demand for rapid production due to COVID‐19 has virtually mandated the use of single‐use system devices.
Data‐driven analysis and predictive modeling on COVID‐19
Authors: Sharma Sonam , Alsmadi Izzat , Alkhawaldeh Rami S. , Al‐Ahmad Bilal 
Published: November 2022

SummaryThe coronavirus (COVID‐19) started in China in 2019, has spread rapidly in every single country and has spread in millions of cases worldwide. This paper presents a proposed approach that involves identifying the relative impact of COVID‐19 on a specific gender, the mortality rate in specific age, investigating different safety measures adopted by each country and their impact on the virus growth rate. Our study proposes data‐driven analysis and prediction modeling by investigating three aspects of the pandemic (gender of patients, global growth rate, and social distancing). Several machine learning and ensemble models have been used and compared to obtain the best accuracy. Experiments have been demonstrated on three large public datasets. The motivation of this study is to propose an analytical machine learning based model to explore three significant aspects of COVID‐19 pandemic as gender, global growth rate, and social distancing. The proposed analytical model includes classic classifiers, distinctive ensemble methods such as bagging, feature based ensemble, voting and stacking. The results show a superior prediction performance comparing with the related approaches.
Poor and rich dolphin optimization algorithm with modified deep fuzzy clustering for COVID‐19 patient analysis
Authors: Dhandapani Sudhagar , Jerald Rodriguez Arokia Renjit 
Published: November 2022

SummaryThe Coronavirus disease 2019 (COVID‐19) is considered as a pandemic by the World Health Organization (WHO), which has spread worldwide. Over millions of peoples are infected across the globe and several people are died. However, the most worrying group of patients suffered from lung severity with respiratory failure. Hence, cluster analysis is utilized for examining the heterogeneity of diseases for determining various clinical phenotypes having the same traits. This article devises an optimization‐driven technique for COVID‐19 patient analysis using the spark framework. Here, the input data is partitioned and fed to different slave nodes. In slave node, the selection of imperative features is done using the proposed poor and rich dolphin optimization algorithm (PRDOA). The proposed PRDOA is obtained by combining poor and rich (PRO) and dolphin echolation (DE) algorithm. The fitness is newly devised considering Minkowski distance measure. The clustering is performed on the master node using the proposed Tanimoto‐based deep fuzzy clustering (TDFC) for effective COVID‐19 patient analysis. Thus, the proposed TDFC is obtained by incorporating Tanimoto concept and deep fuzzy clustering. The proposed PRDOA with TDFC offered enhanced performance with the highest clustering accuracy of 89.8%, dice coefficient of 90%, Jaccard coefficient of 85.7%, and rand coefficient of 85.7%.
Energy and load balancing routing protocol for IoT
Authors: Kalantar Shahzad , Jafari Mehdi , Hashemipour Malihe 
Published: November 2022

SummaryDue to the limitation of node energy resources, the management of energy consumption is one of the most important problems of the internet of things (IoT). Therefore, many studies have tried to optimize and manage energy consumption by focusing on different techniques. Although each of these studies has improved and optimized energy consumption, there are many important problems, including maintaining traffic balance and energy consumption of network nodes. Therefore, a new method is necessary to maintain the load and energy balancing of network nodes. Therefore, this paper introduces energy and load balancing routing protocol for IoT (ELBRP) based on the development of the RPL routing protocol and the efficiency of data distribution technique. The ELBRP performance has three steps. In the first step, along with the process of sending DODAG information object (DIO) messages, the status of network nodes is evaluated. In the second step, the DODAG communication graph is formed according to the ELBRP. In the third step, data transmission is done according to the distribution technique with the goal of balancing traffic and energy. The simulation results using cooja simulator showed the superiority of ELBRP in improving energy consumption and successful delivery ratio, reducing delay and increasing the network lifetime compared to the similar methods.
Heterozygous pathogenic variants in CWF19L1 in a Chinese family with spinocerebellar ataxia, autosomal recessive 17
Authors: Ruan Miaohua , Wang Hongwei , Zhu Mianmian , Sun Rongyue , Shi Jiamin , Wang Qiu , Chen Yuan , Wang Yihong , Wang Dan 
Published: November 2022

AbstractBackgroundCWF19L1 is responsible for spinocerebellar ataxia, autosomal recessive 17, which presents with cerebellar ataxia, and atrophy. Here, we report novel compound heterozygous variants of CWF19L1 in a Chinese family with progressive ataxia and mental retardation of unknown etiology by analyzing clinical characteristics and genetic variations.MethodsClinical profiles and genomic DNA extracts of family members were collected. Whole‐exome and Sanger sequencing were performed to detect associated genetic variants. Pathogenicity prediction and conservation analysis of the identified variants were performed using bioinformatics tools.ResultsWe identified heterozygous variants at the invariant +2 position (c.1555_c.1557delGAG in exon 14 and c.1070G > T in exon 11) of the CWF19L1 gene. Two novel heterozygous variants of the CWF19L1 gene were identified in the CWF19L1 gene associated with autosomal recessive cerebellar ataxia.ConclusionOur results suggest that CWF19L1 variants may be a novel cause of recessive ataxia with developmental delay. Whole‐exome sequencing is an efficient tool for screening variants associated with the disease. This case report may help diagnose and identify the causes of other ataxias, leading to novel therapies, especially in China. This finding enriches the variant spectrum of the CWF19L1 gene and lays the foundation for future studies on the correlation between genotype and phenotype.
Quantitative analysis capability of DIUTHAME mass spectrometry verified by acetylcholinesterase enzyme‐catalyzed reaction assays
Authors: Naito Yasuhide 
Published: November 2022

AbstractMatrix‐assisted laser desorption/ionization (MALDI) is advantageous for mass spectrometry applications where throughput is important. However, quantitative analysis is essentially problematic for MALDI‐MS whose results depend on the intrinsically stochastic microcrystalline state of the matrix. High‐throughput screening (HTS) of drug candidates is a typical example that requires high throughput. The application of MALDI‐MS to HTS, which is quantitative analysis, imposes restrictions on designing an experimental system. Surface‐assisted laser desorption/ionization (SALDI) methods, which do not depend on matrix crystal formation, are expected to be applied to quantitative analyses such as HTS. A recently developed one type of SALDI methods, desorption ionization using through hole alumina membrane (DIUTHAME), possesses a distinct feature that the surface microstructure effective for ionization is formed by through holes. In this study, the quantitative analysis capability of DIUTHAME was verified by applying DIUTHAME to enzyme‐catalyzed reaction measurements, which are also used for HTS. Quantitative DIUTHAME‐MS was conducted on various conditions of acetylcholinesterase‐catalyzed reaction solutions containing cow milk as a substitute of biological media. Even for the enzyme‐catalyzed reaction solutions containing complex additives that make the quantitative analysis extremely difficult, DIUTHAME based on the through hole structure enables quantitative measurements of the analytes by applying the reaction solutions to the back side of the laser exposed surface. In comparison with those obtained by MALDI‐MS, the results obtained by DIUTHAME‐MS showed less variability of data and delivered a better linearity of the Lineweaver–Burk plots and a more reasonable value of the Michaelis constant. Accordingly, it was demonstrated that DIUTHAME‐MS possesses the quantitative analysis capability much better than that of MALDI‐MS.
Nonpharmaceutical interventions for COVID‐19 disrupt the dynamic balance between influenza A virus and human immunity
Authors: Ye Qing , Liu Huihui , Mao Jianhua , Shu Qiang 
Published: November 2022

AbstractDuring the COVID‐19 epidemic, nonpharmaceutical interventions (NPIs) blocked the transmission route of respiratory diseases. This study aimed to investigate the impact of NPIs on the influenza A virus (IAV) outbreak. The present study enrolled all children with respiratory tract infections who came to the Children's Hospital of Zhejiang University between January 2019 and July 2022. A direct immunofluorescence assay kit detected IAV. Virus isolation and Sanger sequencing were performed. From June to July 2022, in Hangzhou, China, the positive rate of IAV infection in children has increased rapidly, reaching 30.41%, and children over 3 years old are the main infected population, accounting for 75% of the total number of infected children. Influenza A (H3N2) viruses are representative strains during this period. In this outbreak, H3N2 was isolated from a cluster of its own and is highly homologous with A/South_Dakota/22/2022 (2021–2022 Northern Hemisphere). Between isolated influenza A (H3N2) viruses and A/South_Dakota/22/2022, the nucleotide homology of the HA gene ranged from 97.3% to 97.5%; the amino acid homology was 97%–97.2%, and the genetic distance of nucleotides ranged from 0.05 to 0.052. Compared with A/South_Dakota/22/2022, the isolated H3N2 showed S156H, N159Y, I160T, D186S, S198P, I48T, S53D, and K171N mutations. There was no variation in 13 key amino acid sites associated with neuraminidase inhibitor resistance in NA protein. Long‐term NPIs have significantly affected the evolution and transmission of the influenza virus and human immunity, breaking the dynamic balance between the IAV and human immunity.
Prognostic roles of leptin‐signaling proteins, PD‐L1, and tumor‐infiltrating lymphocytes in surgically‐resected biliary tract cancers
Authors: Byeon Sun‐ju , Chang Mee Soo , Cho Hwa Jin , Park Jeong Hwan , Kim Ki Hwan , Park Jin Hyun , Choi In Sil , Kim Won , Han Dong‐Seok , Ahn Hye Seong , Heo Seung Chul 
Published: November 2022

AbstractBackgroundBiliary tract cancers are rare, with a poor patient prognosis. Leptin and programmed death‐ligand 1 (PD‐L1) influence CD8+ and forkhead box P3 (FOXP3)+ lymphocytes, and thus, cancer cell growth. We aimed to define the prognostic implications of these variables and the clinicopathological features of biliary tract cancers.MethodsImmunohistochemistry for leptin signaling‐related proteins (leptin, leptin receptor, pSTAT3, extracellular‐regulated kinase, mammalian target of rapamycin), PD‐L1, CD8, and FOXP3 and in situ hybridization for Epstein−Barr virus‐encoded small RNAs were performed in 147 cases of surgically‐resected biliary tract cancers.ResultsImmune cell PD‐L1‐positivity, tumor size < 3 cm, adjuvant chemotherapy, no recurrence, and early‐stage tumors were correlated with better 5‐year survival in the tumoral PD‐L1(–) and leptin(–) subgroups, and extrahepatic cholangiocarcinoma through multivariate analysis (all p < 0.05). Immune cell PD‐L1 and adjuvant chemotherapy lost its prognostic significance in the tumoral PD‐L1+ and leptin+ subgroups.ConclusionsThe prognostic implication of the variables may depend upon tumoral protein expression and the anatomical site. Immune cell PD‐L1‐positivity and the administration of adjuvant chemotherapy may indicate the favorable survival of patients with surgically‐resected biliary tract cancers, specifically, in the tumoral PD‐L1(–) or tumor leptin(–) subgroups and extrahepatic cholangiocarcinoma. PD‐L1‐ or leptin‐targeted therapy combined with conventional chemotherapy may benefit the tumoral PD‐L1+ or leptin+ subgroups.
Miniaturized ternary deep eutectic solvent‐based matrix solid‐phase dispersion: A green sample preparation method for the determination of chlorophenols in river sediment
Authors: El‐Deen Asmaa Kamal , Shimizu Kuniyoshi 
Published: November 2022

New ternary deep eutectic solvents were prepared and applied as efficient green dispersing solvents in miniaturized matrix solid‐phase dispersion to extract chlorophenols from river sediments for the first time. High‐performance liquid chromatography coupled with a photodiode array detector was used to analyze the target analytes. The significant factors affecting the extraction were optimized as follows: dispersant (100 mg), sample (100 mg), ternary eutectic solvents (150 μl), grinding for 1 min, 450 μl of acetonitrile as the elution solvent, and vortex mixing for 20 s. Under the optimal conditions, the method exhibited excellent linearity (correlation coefficient > 0.9980), low limits of detection between 1.039–2.478 μg/g, and extraction recoveries between 93.9% and 99.2%. Furthermore, the method demonstrated excellent precision in the intra‐ and inter‐day analysis with a relative standard deviation below 6%. When compared to conventional extraction techniques, the miniaturized matrix solid‐phase dispersion considerably reduced samples and solvent usag, offering important environmental benefits. The green profile of the method was assessed using the complementary green analytical procedure index tool confirming its eco‐friendship. The technique was finally employed to evaluate sediment samples from three distinct locations along the Zuibaiji River, indicating its applicability for monitoring environmental samples.