bluuebunny/crossref_metadata_2025_split huggingface dataset:
Metabolomics and serum pharmacochemistry revealed the preventive mechanism of Gushudan in kidney‐yang‐deficiency‐syndrome rats
Authors: Lu Qing , Feng Qisheng , Yu Jiaxin , Tong Lin , Zhang Jing , Sun Jinghan , Zhao Jing , Xiong Zhili 
Published: December 2022

AbstractKidney‐yang‐deficiency‐syndrome (KYDS) is a metabolic disease caused by neuroendocrine disorder. Gushudan (GSD) is a traditional Chinese medicine prescription with the effect of nourishing kidney and strengthening bones. In this study, the mechanism of preventive effect of GSD on KYDS was explored by integrating metabolomics and serum pharmacochemistry. Reversed‐phase/hydrophilic interaction chromatography–ultra‐high‐performance liquid chromatography–Quadrupole‐Orbitrap high‐resolution mass spectrometry (RP/HILIC–UHPLC–Q‐Orbitrap HRMS)–based serum metabolomics indicated metabolic disturbances of KYDS rats, and 50 potential biomarkers including l‐threonine, succinic acid and phytosphingosine were obtained, which were mainly involved in alanine, aspartate and glutamate metabolism, citrate cycle (tricarboxylic acid cycle) and glycerophospholipid metabolism, among others. Serum pharmacochemistry identified 29 prototypical ingredients and 9 metabolites of GSD after administration, such as icaritin and xanthotoxol. The combination of 10 serum migration ingredients in GSD, including icaritin and osthole, with 7 important targets, including AKT serine/threonine kinase 1 (AKT1) and MAPK14, was found to be key for GSD to prevent KYDS in the network pharmacology study. This study provided a new idea for the research of pathogenesis of diseases and the pharmacodynamic mechanism of traditional Chinese medicine.
Readiness of Brazilian Industrial Engineering postgraduate programs for Industry 4.0: A knowledge dimensions assessment
Authors: Tortorella Guilherme Luz , Cauchick‐Miguel Paulo A. , Frazzon Enzo M. , Fogliatto Flavio S. , Godinho Filho Moacir , Thürer Matthias 
Published: December 2022

AbstractThis study examines how Industrial Engineering postgraduate programs intend to develop the competencies required for Industry 4.0 in their students. An exploratory and descriptive approach was adopted. Multiple sources of evidence were collected in four of Brazil's best‐ranked and most traditional Industrial Engineering postgraduate programs, involving experienced academics and directors of these programs. Four knowledge dimensions were used to frame our study: factual, conceptual, procedural, and metacognitive. Results indicate that Industrial Engineering postgraduate courses tend to emphasize technical competencies, such as problem and conflict‐solving, decision‐making, and analytical and research skills, rather than competencies related to interpersonal relationships, such as creativity, entrepreneurial thinking, leadership, adaptability, and flexibility. We also found that the development of Industry 4.0 competencies in the examined Industrial Engineering postgraduate programs mostly relies on activities related to procedural knowledge. Our study provides Industrial Engineering instructors and academics arguments to revisit their curricula and better prepare postgraduate students for the challenges imposed by Industry 4.0.
Esophageal perforation and septic shock after accidental coin ingestion in elderly person
Authors: Ishizuka Yusei , Nishiori Hironobu , Matsumura Yosuke 
Published: December 2022

AbstractAn 88‐year‐old man ingested coins accidentally and developed mediastinitis and septic shock. Esophageal injuries by sharped‐shape foreign bodies are often reported, but esophageal perforation by round coins is rare. Even rounded‐shape foreign bodies that are unlikely to injure esophagus may lead to severe outcomes.
Spontaneous intramedullary hematoma following COVID‐19 vaccination: A case report
Authors: Sourani Arman , Rezvani Majid , Foroughi Mina , Baradaran Mahdavi Sadegh 
Published: December 2022

AbstractA 67‐year‐old female was hospitalized due to right‐sided hemiparesis and neck pain with rapid deterioration to a deep coma. She had received the Sinopharm vaccine 2 days earlier. MRI showed extensive cervicothoracic hematomyelia. She received intensive medical care for 2 months and was discharged. An 18‐month follow‐up showed significant neurological recovery.
Unveiling the Collaborative Effect at the Cucurbit[8]uril‐MoS2 Hybrid Interface for Electrochemical Melatonin Determination
Authors: Martínez‐Moro Rut , del Pozo María , Mendieta‐Moreno Jesús I. , Collado Alba , Canola Sofia , Vázquez Luis , Petit‐Domínguez María Dolores , Casero Elena , Quintana Carmen , Martín‐Gago José A. 
Published: December 2022

AbstractHost‐guest interactions are of paramount importance in supramolecular chemistry and in a wide range of applications. Particularly well known is the ability of cucurbit[n]urils (CB[n]) to selectively host small molecules. We show that the charge transfer and complexation capabilities of CB[n] are retained on the surface of 2D transition metal dichalcogenides (TMDs), allowing the development of efficient electrochemical sensing platforms. We unveil the mechanisms of host‐guest recognition between the MoS2‐CB[8] hybrid interface and melatonin (MLT), an important molecular regulator of vital constants in vertebrates. We find that CB[8] on MoS2 organizes the receptor portals perpendicularly to the surface, facilitating MLT complexation. This advantageous adsorption geometry is specific to TMDs and favours MLT electro‐oxidation, as opposed to other 2D platforms like graphene, where one receptor portal is closed. This study rationalises the cooperative interaction in 2D hybrid systems to improve the efficiency and selectivity of electrochemical sensing platforms.
Enantioselective and Chemoselective Phosphine Oxide‐catalyzed Aldol Reactions of N‐Unprotected Cyclic Carboxyimides
Authors: Yoshiwara Yusaku , Kotani Shunsuke , Nakajima Makoto 
Published: December 2022

AbstractAsymmetric catalytic transformations of N‐unprotected cyclic carboxyimides such as succinimides, hydantoins, oxazolidinediones, and glitazones, is a powerful way of directly accessing variety of biologically valuable chiral compounds. Herein, a bis(trichlorosilyl) nucleophilic intermediate formed from cyclic carboxyimides was reacted with aldehydes via (S)‐SEGPHOS dioxide (SEGPHOSO), proceeding the aldol reaction in highly enantioselective fashion through a cyclic transition state. Furthermore, N‐unprotected carboxyimides were chemoselectively activated, even in the presence of N‐alkylated carboxyimides, to undergo stereoselective and chemoselective aldol reactions via in situ silicon tetrachloride activation. The functionalized cyclic carboxyimides is readily derived to the several synthetic units derivatization to various chiral building blocks without unnecessary protection/deprotection steps.
„Grüne” Partikeltechnik?
Authors: Peukert Wolfgang , Bück Andreas 
Published: December 2022

AbstractIn diesem Essay stellen wir einige Gedanken zur Entwicklung der Partikeltechnik im Kontext des Klimawandels vor. Wir beginnen mit einem kurzen historischen Abriss zur Geschichte der Partikeltechnik. Dabei wird neben der Faszination der Partikeltechnik deutlich werden, dass Partikel seit der industriellen Revolution auch mit negativen Folgen menschlichen Tuns verbunden waren und es noch immer sind. Einige Beispiele, wie disperse Systeme zur Lösung aktueller technischer Fragen beitragen, werden diskutiert. Schließlich benennen wir einige weiße Felder und offene Fragestellungen der Partikeltechnik im Kontext des Klimawandels in der Hoffnung, dadurch weitergehende Untersuchungen anzuregen.
GCR‐Net: A deep learning‐based bare hand detection and gesticulated character recognition system for human‐computer interaction
Authors: Yadav Kuldeep Singh , Kirupakaran Anish Monsley , Laskar Rabul Hussain 
Published: December 2022

SummaryPrecisely detecting bare hands and recognizing the characters are two major stages in gesticulated character recognition systems. It is very challenging to implement them in an uncontrolled environment. Additional variations, particularly (i) background feature domination (BFD) effect and motion blur in detection, (ii) gesturing style, pattern, and case sensitivity in recognition, make the system more complex. To address these challenges, a gesticulated character recognition (GCR‐Net) model is designed. To detect the bare hand precisely, a pixel‐wise segmentation approach, HandSNet, is presented, which is able to overcome the BFD effect. To handle the motion blur in the frames, a tracking module comprised of a point‐tracker and Kalman filter is applied. To reduce the computational time, a mini‐SqueezeNet network is designed, which is used in HandSNet and recognition models as the backend network. It has 0.39 million parameters only. Four separate deep convolutional neural networks (DCNNs) are connected with the network section module at the recognition end. This network selection module activates one DCNN at a time to recognize the gesticulated characters accurately. The proposed GCR‐Net reduces the complexity between similar characters and provides a high precision rate compared to the existing approaches.
Binding Energy Partition of Promising IRAK‐4 Inhibitor (Zimlovisertib) for the Treatment of COVID‐19 Pneumonia
Authors: Zapata‐Acevedo César A. , Guevara‐Vela José Manuel , Popelier Paul L. A. , Rocha‐Rinza Tomás 
Published: December 2022

AbstractThe front cover artwork is provided by César A. Zapata‐Acevedo and co‐workers at the Institute of Chemistry of the National Autonomous University of Mexico, the IMDEA Materials Institute, the University of Manchester and Tecnológico de Monterrey Campus Santa Fe. The image shows the fragment‐based drug design process for candidate Zimlovisertib. The Interacting Quantum Atoms method reveals the adequacy (or lack of) of the chemical changes throughout the design of this IRAK4 inhibitor. Read the full text of the Research Article at 10.1002/cphc.202200455.
Benzothiadiazole‐Based Green Hybridized Local and Charge‐Transfer (HLCT) Fluorophores as Solution‐Processed Non‐Doped Emitters for Simple Structured Electroluminescent Devices
Authors: Kongsabay Suwapat , Loythaworn Thidarat , Petdee Sujinda , Chasing Pongsakorn , Funchien Patteera , Waengdongbung Wijitra , Wongkaew Praweena , Sudyodsuk Taweesak , Promarak Vinich 
Published: December 2022

AbstractThe front cover artwork is provided by Phattananawee Nalaoh, VISTEC (Thailand). The image shows the solution‐processable hybridized local and charge‐transfer (HLCT) fluorophore as an efficient non‐doped emitter for solution‐processed double‐layered organic light‐emitting diode. Read the full text of the Research Article at 10.1002/cptc.202200154.
Evaluation of soybean germplasm for resistance to Fusarium virguliforme, the major pathogen causing sudden death syndrome of soybean in the United States
Authors: Herman Theresa K. , Bowen Roger , Mahan Adam L. , Hartman Glen L. 
Published: December 2022

AbstractSudden death syndrome (SDS) is one of the most important yield limiting diseases of soybean [Glycine max (L.) Merr.]. In North America, the most common causal species is Fusarium virguliforme O'Donnell & T. Aoki. Yield losses of up to 80% have been reported. Host resistance is among the most sustainable tools to reduce SDS losses, and screening soybean accessions for sources of resistance is a fundamental part of discovering host resistance. This study evaluated 10,144 soybean plant introductions (PIs) in soybean maturity groups (MGs) 000 to X for resistance to F. virguliforme. Using a tiered testing sequence and a seedling‐layered inoculum method in the greenhouse, new sources of resistance were identified. In tier VI, 81 of 125 PIs evaluated had mean foliar severity that was equal to or significantly lower than that of the resistant check, PI 567374. In tier VII, 20 PIs with low foliar severity scores representing a range of MGs were further evaluated for foliar response, as well as “relative dry weights”—dry shoot and root weights expressed as a percentage of respective noninoculated plants. At 28 days after planting, 16 PIs had mean foliar severity ratings not significantly different from PI 567374; three of these PIs, 279081, 506757, and 507568, had significantly greater relative dry shoot, root, and total weight than PI 567374. The highly resistant entries reported here will be useful for further studies to understand the resistance mechanisms to F. virguliforme and for breeding programs focused on increasing SDS resistance in elite breeding lines.
Simple and rapid determination of clonidine in pharmaceutical samples by voltammetry using a bare glassy carbon electrode
Authors: Moreira Débora A. R. , Pimentel Dilton M. , Arrieiro Mariane O. B. , Barbosa Sandro L. , da Silva Rodrigo A. B. , dos Santos Wallans T. P. 
Published: December 2022

AbstractThis work presents, for the first time, the voltammetric behavior of clonidine (CLO) drug and its determination, using an unmodified glassy carbon electrode (GCE). CLO exhibited only an irreversible oxidation process on the GCE, with peak potential at +0.85 V in pH 12 (vs Ag/AgCl). CLO oxidation process is pH‐dependent and the electrochemical mechanisms on the GCE were proposed in acidic and basic medium. The determination of CLO was optimized in 0.1 mol L−1 phosphate buffer solution at pH 12.0 using differential pulse voltammetry (DPV), which provides a good linear range (0.65 to 106.00 μmol L−1) and low theoretical limit of detection (0.14 μmol L−1) for the quality control of this drug in pharmaceutical samples. In addition, stable responses of CLO at the GCE were obtained in the same day (RSD = 3.4 %; n = 5) and different days (RSD = 2.0 %; n = 3). Moreover, the determination of CLO in a pharmaceutical formulation using the proposed GCE‐DPV method presented good accuracy, since the recovery was close to 100 % and the dosing result was in agreement with an official method (HPLC‐UV). The proposed method demonstrates a good analytical performance for CLO determination in pharmaceutical samples, providing a faster, simpler and lower‐cost alternative for quality control of CLO than other reported methods.
Synthesized heterogeneous nano‐catalyst from cow teeth for fatty acid methyl esters production through transesterification of waste vegetable frying oil and methanol: Characterization and optimization studies
Authors: Aworanti Oluwafunmilayo Abiola , Agbede Oluseye Omotoso , Popoola Adewemimo Oluwakunmi , Ogunsola Akinola David , Agarry Samuel Enahoro , Adekunle Olanrewaju James , Ogunkunle Oyetola , Laseinde Opeyeolu Timothy , Odesanmi Afolabi Abraham , Alade Abass Olanrewaju 
Published: December 2022

AbstractUsing readily available biomass, it is possible to produce fatty acid methyl esters (FAME) at a low cost. This study focused on the transesterification process of waste frying vegetable oil to generate FAME (biodiesel) using a cost‐effective heterogeneous nano‐catalyst synthesized from waste cow teeth (CT). The cow teeth nano‐catalyst (CTNC) was synthesized via a three‐step method of calcination, hydration‐dehydration, and re‐calcination. The synthesized CTNC samples were characterized. The Box–Behnken design of response surface methodology (RSM) was used to obtain the optimal operating conditions that maximize the FAME yield (Y
1
) and the effects of the transesterification process conditions on FAME production. The results revealed that CTNC is of microporous structure with higher crystallinity. It consists of hydroxyapatite, beta‐tricalcium phosphate, and calcium oxide, having a mean particle size of 43.96 nm, a specific surface area of 124.77 m
2
/g, and a pore volume of 0.303 cm
3
/g. The process conditions that significantly influenced the EWFVOME yield were the CTNC loading, reaction time, and MTOR. A maximum of 98.70% (Y
1
) was obtained at the optimum transesterification process variables of reaction time (2 h), MTOR (12:1), and CTNC loading (3.75 wt%).
The biodiesel fuel properties were found to be within the acceptable values of ASTM D6751 and EN 14214 fuel standards.
Large‐scale ground motion simulation of the 2016 Kumamoto earthquake incorporating soil nonlinearity and topographic effects
Authors: Chen Zhengwei , Huang Duruo , Wang Gang 
Published: December 2022

AbstractA large‐scale physics‐based simulation is conducted to investigate ground motion distribution in the Mw 7.0 2016 Kumamoto earthquake, Japan. The model simulates the earthquake scenario from fault rupture to wave propagation, and localized site response with consideration of the combined effect of soil nonlinearity and topographic amplification. The simulation domain is 51 km × 43 km × 25 km, and the obtained ground motion time histories are compared satisfactorily with recordings from KiK‐net and K‐NET. Ground motion distribution considering nonlinear soil response and topographic amplification is presented. A 3D equivalent linear model is developed to mimic the soil nonlinearity, and it is demonstrated that neglecting soil nonlinearity could over‐predict peak ground acceleration (PGA) and underestimate peak ground velocity (PGV) near the fault. The topographic amplification factors (TAFs) of PGA and PGV are found between 0.5 and 2.0, with a correlation coefficient of 0.7 between them. Predictive equations are proposed to correlate TAFs of PGA and PGV with topographic features, which are represented by relative heights obtained at different length scales. Finally, major earthquake damages are summarized with reference to the obtained ground motion intensity map.
What do we know about the epidemiology of avoidant/restrictive food intake disorder in children and adolescents? A systematic review of the literature
Authors: Sanchez‐Cerezo Javier , Nagularaj Lidushi , Gledhill Julia , Nicholls Dasha 
Published: December 2022

AbstractBackgroundAvoidant/restrictive food intake disorder (ARFID) was a new diagnosis in DSM‐5. This systematic review explores what is known to date about the epidemiology of ARFID in children and adolescents.MethodEmbase, Medline and PsycInfo were used to identify studies meeting inclusion criteria. PRISMA guidelines were followed.ResultsThirty studies met inclusion criteria, with most coming from specialised eating disorder services where prevalence rates were 5%–22.5%. Three studies from specialist feeding clinics showed the highest prevalence rates, ranging from 32% to 64%. Studies from non‐clinical samples reported ARFID prevalence estimates ranging from 0.3% to 15.5%. One study, using national surveillance methodology, reported the incidence of ARFID in children and adolescents reaching clinical care to be 2.02 per 100,000 patients. Psychiatric comorbidity was common, especially anxiety disorders (9.1%–72%) and autism spectrum disorder (8.2%–54.75%).ConclusionThe current literature on the epidemiology of ARFID in children and adolescents is limited. Studies are heterogeneous with regard to setting and sample characteristics, with a wide range of prevalence estimates. Further studies, especially using surveillance methodology, will help to better understand the nature of this disorder and estimate clinical service needs.
Is Photocatalysis the Next Technology to Produce Green Hydrogen to Enable the Net Zero Emissions Goal?
Authors: Isaacs Mark , Garcia‐Navarro Julio , Ong Wee‐Jun , Jiménez‐Calvo Pablo 
Published: December 2022

AbstractEnergy security concerns require novel greener and more sustainable processes, and Paris Agreement goals have put in motion several measures aligned with the 2050 roadmap strategies and net zero emission goals. Renewable energies are a promising alternative to existing infrastructures, with solar energy one of the most appealing due to its use of the overabundant natural source of energy. Photocatalysis as a simple heterogeneous surface catalytic reaction is well placed to enter the realm of scaling up processes for wide scale implementation. Inspired by natural photosynthesis, artificial water splitting's beauty lies in its simplicity, requiring only light, a catalyst, and water. The bottlenecks to producing a high volume of hydrogen are several: Reactors with efficient photonic/mass/heat profiles, multifunctional efficient solar‐driven catalysts, and proliferation of pilot devices. Three case studies, developed in Japan, Spain, and France are showcased to emphasize efforts on a pilot and large‐scale examples. In order for solar‐assisted photocatalytic H2to mature as a solution, the aforementioned bottlenecks must be overcome for the field to advance its technology readiness level, assess the capital expenditure, and enter the market.
Integrating transcriptomic datasets across neurological disease identifies unique myeloid subpopulations driving disease‐specific signatures
Authors: Wishart Claire L. , Spiteri Alanna G. , Locatelli Giuseppe , King Nicholas J. C. 
Published: December 2022

AbstractMicroglia and bone marrow‐derived monocytes are key elements of central nervous system (CNS) inflammation, both capable of enhancing and dampening immune‐mediated pathology. However, the study‐specific focus on individual cell types, disease models or experimental approaches has limited our ability to infer common and disease‐specific responses. This meta‐analysis integrates bulk and single‐cell transcriptomic datasets of microglia and monocytes from disease models of autoimmunity, neurodegeneration, sterile injury, and infection to build a comprehensive resource connecting myeloid responses across CNS disease. We demonstrate that the bulk microglial and monocyte program is highly contingent on the disease environment, challenging the notion of a universal microglial disease signature. Integration of six single‐cell RNA‐sequencing datasets revealed that these disease‐specific signatures are likely driven by differing proportions of unique myeloid subpopulations that were individually expanded in different disease settings. These subsets were functionally‐defined as neurodegeneration‐associated, inflammatory, interferon‐responsive, phagocytic, antigen‐presenting, and lipopolysaccharide‐responsive cellular states, revealing a core set of myeloid responses at the single‐cell level that are conserved across CNS pathology. Showcasing the predictive and practical value of this resource, we performed differential expression analysis on microglia and monocytes across disease and identified Cd81 as a new neuroinflammatory‐stable gene that accurately identified microglia and distinguished them from monocyte‐derived cells across all experimental models at both the bulk and single‐cell level. Together, this resource dissects the influence of disease environment on shared immune response programmes to build a unified perspective of myeloid behavior across CNS pathology.