bluuebunny/crossref_metadata_2025_split huggingface dataset:
Arbidol increases the survival rate by mitigating inflammation in suckling mice infected with human coronavirus OC43 virus
Authors: Zhou Hongxia , Xie Peifang , Qiu Minshan , Dong Shuwei , Xia Xueshan , Yang Zifeng , Yuan Yaoqin , Shen Lihan 
Published: August 2023

AbstractHuman coronavirus OC43 (HCoV‐OC43) often causes common cold and is able to neuroinvasive, but it can also induce lower respiratory tract infections (LRTI) especially in children and the elderly adults with underlying diseases. HCoV‐OC43 infections currently have no approved antiviral treatment. Arbidol (ARB) is a broad‐spectrum antiviral and is an antiviral medication for the treatment of influenza used in Russia and China. Due to its multiple mechanisms of action, such as inhibition of viral fusion and entry, immunomodulation, and modulation of host cell signaling pathways, ARB has the potential to be an effective treatment option for viral infections. Therefore, the study aims to investigate the activities of ARB against HCoV‐OC43 infections. Suckling mice were infected with HCoV‐OC43 and treated with ARB (50, 25 and 12.5 mg/kg/d) by gavage once daily for 4 days. the survival rates and body weight were recorded, the viral titer was measured by real‐time quantitative polymerase chain reaction, cytokine levels were measured by Bio‐Plex assays. Histopathological changes of the lungs and brain were analyzed. Our results show ARB increased the survival rate, reduced viral copy numbers in the lung, mitigated pro‐inflammatory cytokine production, and improved brain and lung histopathology significantly without any significant toxicity or side effects in vivo. Our results suggest ARB could be a promising approach for the prevention and treatment of HCoV‐OC43 while further studies are needed to address these possibilities and the underlying mechanism.
Selecting performance indicators for hospital pharmacy practice: A Canadian initiative
Authors: Boucher France , Lemire Benoît , Schryve Sylvie , Vaillant Linda 
Published: August 2023

AbstractActivity‐based funding is a method of funding hospitals according to the type and volume of services provided and adjusted to their patient population. Currently, pharmacy practice is mainly evaluated with costs and volumes, which are insufficient to properly measure the contribution of pharmacists. Facing the province of Quebec statewide implementation of activity‐based funding, expert committees were set up to develop a set of indicators using a predefined framework to assess pharmacy performance throughout all hospital activities and patient care. Through consultations, partners and stakeholders showed strong support for the initiative, putting more emphasis on the assessment of appropriateness as well as quality and safety. Among the different roles of pharmacists, respondents favoured the assessment of the pharmaceutical care and education of trainees and colleagues. Of the 150 candidate indicators initially identified, 24 were selected, of which 13 were prioritised for experimentation.
Improvement in the quality of frozen dough for fried flour products by electrostatic field‐assisted freezing
Authors: Liu Yuqi , Zhang Min , Jiang Qiyong , Mujumdar Arun S. , Lin Jiacong 
Published: August 2023

AbstractBACKGROUNDWith the development of the food industry, frozen dough technology has gradually become an indispensable part of dough processing but its quality is often reduced due to freezing during the production process. Electrostatic field‐assisted freezing (EF) technology, a key research project in recent years, reduces the physical damage to food materials by reducing or changing the size of ice crystals in frozen products.RESULTSIn this study, different intensities of electrostatic fields were used to assist in the repeated freezing and thawing of dough. The effects of electrostatic fields on the freezing nucleation process were evaluated by measuring dough freezing curves, low field nuclear magnetic resonance, and melting enthalpy. It was found that the freezing time of frozen dough added with electrostatic field‐assisted freezing processing was shortened, the rate at which hardness, viscosity, and elasticity decreased was reduced, and the indicators of water distribution and protein secondary structure components were closer to those of fresh dough.CONCLUSIONThis experiment used electrostatic field‐assisted freezing to reduce the damage to the dough structure during the freezing process, improve the quality of frozen dough and fried products, and improve the freezing efficiency of frozen dough. It provides a new idea for the study of frozen dough. © 2023 Society of Chemical Industry.
The role of natural killer cell activity as a milestone in oncologic outcome after curative resection of pancreatic adenocarcinoma
Authors: Kim Eun Young , Yoon Young Chul , Hong Tae Ho 
Published: August 2023

AbstractBackgroundThe objective of this study was to investigate differences in oncologic outcomes of patients with pancreas cancer according to natural killer cell activity (NKA).MethodsA total of 118 patients who underwent curative resection for primary pancreas cancer in two hospitals were analyzed. NKA change pattern was analyzed. Difference in disease‐free survival or overall survival was investigated by dividing subjects into two groups based on a normal NKA value for each period.ResultsNKA value decreased after surgery compared to the value measured at admission. It recovered to normal levels at 5 weeks postoperatively. The low NKA (less than 250 pg/mL) group at admission, 5 weeks postoperatively, and before 1st chemotherapy had significantly poorer disease‐free survival than the normal NKA group. In multivariate analysis, NKA values less than 250 pg/mL at admission (odds ratio = 2.267, p = 0.023) and N 1 or N2 category (odds ratio = 2.478, p = 0.023) were significant factors associated with recurrence after curative resection.ConclusionsNKA in patients with pancreatic cancer demonstrated noticeable changes after surgery. Immunologically predisposed patients with a low NKA value had a high risk of early recurrence and a poor prognosis, although pancreatic cancer was surgically removed.
Silver ion chromatography enables the separation of 2‐methylalkylresorcinols from alkylresorcinols
Authors: Hammerschick Tim , Vetter Walter 
Published: August 2023

Alkylresorcinols (∑ARs) is the generic term for a highly varied class of lipids found mainly in cereals. These bioactive compounds consist mainly of 5‐alkylresorcinols (ARs), which differ in length, unsaturation, and substituents on the alkyl side chain on C‐5. In addition, 2‐methyl‐5‐alkylresorcinols (mARs) are scarcely studied minor compounds that are supposed to exist with the same structural diversity. In the first step, ∑ARs were enriched by solid‐phase extraction from wheat grain and quinoa seed extracts. The subsequent application of silver ion chromatography (SIC), silica gel, coated with 20% AgNO3, then deactivated with 1% water) enabled an unprecedented full separation of saturated mARs from conventional ARs. Specifically, saturated mARs were eluted with n‐hexane/ethyl acetate (92:8, v/v), and conventional ARs with n‐hexane/ethyl acetate (80:20, v/v). The unpreceded separation indicated that the SIC method could be useful not only for separations according to the degree of unsaturation, but also in the case of steric hindrance by additional (alkyl) substituents. Continued fractionation enabled the collection of unsaturated ARs in wheat and quinoa extracts. In this way, 35 ∑ARs (including five mARs) were detected by gas chromatography/mass spectrometry analysis in wheat and 45 ∑ARs (including 21 mARs) in quinoa. These included several low abundant and partly unknown ∑ARs such as 1,3‐dihydroxy‐5‐tricosadienylbenzene.
End‐to‐end deep learning classification of vocal pathology using stacked vowels
Authors: Liu George S. , Hodges Jordan M. , Yu Jingzhi , Sung C. Kwang , Erickson‐DiRenzo Elizabeth , Doyle Philip C. 
Published: August 2023

AbstractObjectivesAdvances in artificial intelligence (AI) technology have increased the feasibility of classifying voice disorders using voice recordings as a screening tool. This work develops upon previous models that take in single vowel recordings by analyzing multiple vowel recordings simultaneously to enhance prediction of vocal pathology.MethodsVoice samples from the Saarbruecken Voice Database, including three sustained vowels (/a/, /i/, /u/) from 687 healthy human participants and 334 dysphonic patients, were used to train 1‐dimensional convolutional neural network models for multiclass classification of healthy, hyperfunctional dysphonia, and laryngitis voice recordings. Three models were trained: (1) a baseline model that analyzed individual vowels in isolation, (2) a stacked vowel model that analyzed three vowels (/a/, /i/, /u/) in the neutral pitch simultaneously, and (3) a stacked pitch model that analyzed the /a/ vowel in three pitches (low, neutral, and high) simultaneously.ResultsFor multiclass classification of healthy, hyperfunctional dysphonia, and laryngitis voice recordings, the stacked vowel model demonstrated higher performance compared with the baseline and stacked pitch models (F1 score 0.81 vs. 0.77 and 0.78, respectively). Specifically, the stacked vowel model achieved higher performance for class‐specific classification of hyperfunctional dysphonia voice samples compared with the baseline and stacked pitch models (F1 score 0.56 vs. 0.49 and 0.50, respectively).ConclusionsThis study demonstrates the feasibility and potential of analyzing multiple sustained vowel recordings simultaneously to improve AI‐driven screening and classification of vocal pathology. The stacked vowel model architecture in particular offers promise to enhance such an approach.Lay SummaryAI analysis of multiple vowel recordings can improve classification of voice pathologies compared with models using a single sustained vowel and offer a strategy to enhance AI‐driven screening of voice disorders.Level of Evidence3
Data mining analysis of professor Qiu Changlin's Chinese Medicinal therapy for Parkinson's disease
Authors: Wu Shuang , Wu Han , Jiang Xuhong , Li Hongchen , Luo Jie 
Published: August 2023

AbstractBackgroundParkinson's disease (PD) is a prevalent, progressive neurodegenerative disease that has been widely treated using dopamine replacement therapy. However, this therapy does not prevent the progressive loss of dopaminergic neurons in the substantia nigra pars compacta. Clinical experience has shown that Chinese medicines (CMs) can alleviate the side effects of Western medicines for PD and improve the quality of life of patients.ObjectiveThis paper describes the collection and analysis of Professor Qiu Changlin's decoctions for PD and proposes new ideas on the Law of CM Clinical Formula Administration and Syndrome Differentiation of PD.MethodsA database of Professor Qiu's prescriptions for PD patients of Zhejiang Provincial Hospital of Chinese Medicine over 5 years (January 2018 to May 2022) was established and analyzed using Microsoft Excel 2019 and SPSS Modeler 22.0.ResultsFrequency analysis of 1162 prescriptions comprising 232 CMs revealed 17 high‐frequency CMs, including Shu Di Huang (Rehmanniae Radix Praeparata) and Chao Bai Shao (Paeoniae Radix Alba), and correlations among the CMs. The property (nature) of these CMs is warm, and the flavors are mainly bitter, sweet, and sour. Most enter the liver meridian. Based on cluster analysis, we obtained a core effective prescription that mainly comprises Tian Ma, Gou Teng Yin and Zuo Gui Wan.ConclusionThe core effective prescription is expected to inspire new ideas for the administration of CM clinical formulas and syndrome differentiation in PD.
The PKA‐SREBP1c Pathway Plays a Key Role in the Protective Effects of Lactobacillus johnsonii JNU3402 Against Diet‐Induced Fatty Liver in Mice
Authors: Hong Eunjeong , Kang Hyuno , Yang Garam , Oh Sejong , Kim Eungseok 
Published: August 2023

ScopeThe present study aims to assess the protective effect of Lactobacillus johnsonii JNU3402 (LJ3402) against diet‐induced non‐alcoholic fatty liver disease (NAFLD) and determine the mechanism underlying its beneficial effect on the liver in mice.Methods and resultsSeven‐week‐old male mice are fed a high‐fat diet (HFD) with or without oral supplementation of LJ3402 for 14 weeks. In mice fed an HFD, LJ3402 administration alleviates liver steatosis, diet‐induced obesity, and insulin resistance with a decreased hepatic expression of sterol‐regulatory element‐binding protein‐1c (SREBP‐1c), fatty acid synthase (FAS) and acetyl‐CoA carboxylase (ACC), and an increased phosphorylation of SREBP‐1c. The mechanistic study shows that LJ3402 inhibits SREBP‐1c transcriptional activity by enhancing protein kinase A (PKA)‐mediated phosphorylation and reduces the expression of its lipogenic target genes in AML12 and HepG2 cells, thereby attenuating hepatic lipid accumulation. Moreover, silencing the PKA α catalytic subunit or the inhibition of PKA activity by H89 abolishes LJ3402 suppression of free fatty acid (FFA)‐induced SREBP‐1c activity in hepatocytes. In addition, LJ3402 administration elevates the plasma lactate levels in mice fed an HFD; this lactate increases PKA‐mediated SREBP‐1c phosphorylation in AML12 cells with a decreased expression of its target genes, reducing hepatic lipid accumulation.ConclusionLJ3402 attenuates HFD‐induced fatty liver in mice through the lactate‐PKA‐SREBP‐1c pathway.
Modified Korean MIND Diet: A Nutritional Intervention for Improved Cognitive Function in Elderly Women through Mitochondrial Respiration, Inflammation Suppression, and Amino Acid Metabolism Regulation
Authors: Kang Eun Young , Kim Do‐Young , Kim Hyun Kyung , Shin Weon‐Sun , Park Young‐Sook , Kim Tae Hoon , Kim Wooki , Cao Lei , Lee Sang‐gil , Gang Gyoungok , Shin Minhye , Kim Jun‐Mo , Go Gwang‐woong 
Published: August 2023

ScopeMild cognitive impairment is associated with a high prevalence of dementia. The study examines the benefits of a modified Korean MIND (K‐MIND) diet and explores biomarkers using multi‐omics analysis.Methods and resultsThe K‐MIND diet, tailored to the elderly Korean population, includes perilla oil, milk, or fermented milk, and avoids alcohol consumption. As a result, the K‐MIND diet significantly improves subjects “orientation to place” in the Korean version of the Mini‐Mental State Examination, 2nd edition test. According to multi‐omics analysis, the K‐MIND diet upregulates genes associated with mitochondrial respiration, including ubiquinone oxidoreductase, cytochrome C oxidase, and ATP synthase, and immune system processes, and downregulates genes related to nuclear factor kappa B activity and inflammatory responses. In addition, K‐MIND affects the metabolic pathways of glycine, serine, threonine, tryptophan, and sphingolipids, which are closely linked to cognitive function through synthesis of neurotransmitters and structures of brain cell membranes.ConclusionThe findings imply that the K‐MIND diet improves cognitive function by upregulating key genes involved in oxidative phosphorylation and downregulating pro‐inflammatory cytokines.
Design of experiments approach for systematic optimization of a single‐shot diaPASEF plasma proteomics workflow applicable for high‐throughput
Authors: Rice Shawn J. , Belani Chandra P. 
Published: August 2023

AbstractPurposePlasma is an abundant source of protein biomarkers. Mass spectrometry (MS) is an effective means to measure a large number of proteins in a single run. The recent development of data‐independent acquisition with parallel accumulation and serial fragmentation (diaPASEF) on a trapped ion mobility spectrometer (TIMS) affords deep proteomic coverage with short liquid chromatography gradients. In this work, we utilized a process optimization approach, design of experiments (DoE), to maximize precursor identification for a plasma proteomic diaPASEF workflow.Experimental DesignA partial factorial design was used to screen 11 sample preparation factors and six diaPASEF MS acquisition factors. Selected factors were optimized using the response surface method.ResultsThree important sample preparation factors and the two important MS acquisition factors were identified in the screening experiments and were selected for separate optimization experiments. The optimal parameters were compared to our standard plasma proteomics workflows using either a 1‐h or overnight trypsin digestion. The optimized method outperformed the 1‐h digestion, and it was similar in performance to the overnight digestion, however, the optimized method could be completed in a day.Conclusion and Clinical RelevanceWe have used DoE to report an optimized plasma proteomics workflow for diaPASEF, however, established methods are already highly optimized, and resources may be better spent on running samples than comprehensive optimization.
Effects of job demands and resources on the subjective well‐being of teachers
Authors: Ostermeier Teuna Cornelia Jenny , Koops Willem , Peccei Riccardo 
Published: August 2023

AbstractAlthough it is widely recognised that well‐being of teachers is important, not much is known about the effects of job characteristics in subjective well‐being. This paper is a report of a study that investigates the effects of job characteristics on subjective well‐being. Nationally representative employee data is used to investigate the effects of job characteristics and teachers' subjective well‐being among teachers in Britain (N = 954). The findings suggest that there is a prima facie case for schools to use the job demands‐resources model to maintain and raise levels of job satisfaction and negative affect among their teachers. Multiple regressions were performed to calculate the relative weight of job characteristics related to subjective well‐being. Results show, among other things, that job security, autonomy and employee voice increase, and work–life conflict decreases, the subjective well‐being of teachers. In addition, it is found that family policies, a supportive supervisor and employee voice can mitigate the detrimental effects of work–life conflict, workload and work hours on negative affect. Policy implications follow, which include, inter alia, that training and development programmes with an emphasis on communications skills and providing teachers more opportunities to participate in decisions could be used to achieve greater participation, better supportive supervision and more job security. In addition, workload can be reduced by giving teachers more non‐contact time and creating smaller classes.
Context and implicationsRationale for this studyIt is widely recognised that lack of well‐being can potentially affect both workers and the organisation in negative ways. Within the teaching occupation well‐being is a serious and growing concern. Therefore, it is of paramount importance to generate insights into what job characteristics affect teacher well‐being.Why the new findings matterThis study demonstrated that the JD‐R model can be used successfully to investigate job characteristics. Furthermore, this study highlights the relationship of subjective well‐being of teachers with job characteristics. In addition, it is found that various job resources can mitigate the detrimental effects of several demands on negative affect.Implications for practiceThe present study suggests that increases in subjective well‐being can be made by increasing resources and decreasing demands and that special attention needs to be drawn to: supportive management, employee voice, autonomy, job security, workload and work–life conflict. Policy implications include that training and development programmes with an emphasis on communication skills and providing teachers more opportunities to participate in decisions could be used to achieve greater participation, better supportive supervision and more job security. In addition, workload can be reduced by giving teachers more non‐contact time and creating smaller classes.
Bearing‐based formation control of second‐order multiagent systems with bounded disturbances
Authors: Xu Chuang , Zelazo Daniel , Wu Baolin 
Published: August 2023

AbstractThis article investigates the bearing‐based formation control problem for second‐order multiagent systems (SMS) in the presence of the bounded disturbances in their models. The main contributions of this article are listed as follows: (1) We extend the bearing formation control to SMS. (2) We propose two novel robust distributed bearing formation control laws. In the first control law, the bearing measurement in the global inertial frame is required. This control law guarantees that the inter‐agent bearings converge to the desired bearings. The second control law requires obtaining the local bearing measurements and relative orientation measurements. This control law guarantees that the inter‐agent bearings converge to the desired bearings and the orientation of each agent converges to a common orientation. Some simulations are conducted, and simulation results verify the effectiveness of the proposed control laws.
Electrospinning Photocatalysis Meet In Situ Irradiated XPS: Recent Mechanisms Advances and Challenges
Authors: Zhang Fei , Li Yukun , Ding Bin , Shao Guosheng , Li Neng , Zhang Peng 
Published: August 2023

AbstractProducing solar fuels over photocatalysts under light irradiation is a considerable way to alleviate energy crises and environmental pollution. To develop the yields of solar fuels, photocatalysts with broad light absorption, fast charge carrier migration, and abundant reaction sites need to be designed. Electrospun 1D nanofibers with large specific areas and high porosity have been widely used in the efficient production of solar fuels. Nevertheless, it is challenging to do in‐depth mechanism research on electrospun nanofiber‐based photocatalysts since there are multiple charge transfer routes and various reaction sites in these systems. Here, the basic principles of electrospinning and photocatalysis are systemically discussed. Then, the different roles of electrospun nanofibers played in recent research to boost photocatalytic efficiency are highlighted. It is noteworthy that the working principles and main advantages of in situ irradiated photoelectron spectroscopy (ISI‐XPS), a new technique to investigate migration routes of charge carriers and identify active sites in electrospun nanofibers based photocatalysts, are summarized for the first time. At last, a brief summary on the future orientation of photocatalysts based on electrospun nanofibers as well as the perspectives on the development of the ISI‐XPS technique are also provided.