bluuebunny/crossref_metadata_2025_split huggingface dataset:
Preparing pharmacy faculty through a postgraduate year one pharmacy residency program that includes a master of science in education degree
Authors: Ray Sarah , Johnson Chris , Lokken James , Johnson Francesca Napolitano , Traynor Andrew 
Published: November 2022

AbstractAn effective pharmacist workforce requires highly qualified and effective pharmacy educators. Qualifications required of pharmacy practice faculty may vary by academic institution but the American College of Clinical Pharmacy recommends completion of a residency or fellowship that includes structured teaching experiences and scholarly activities. Although teaching and learning certificate programs may offer a way for residents to gain this experience, program quality may vary and there is evidence that department chairs and other administrators may value additional advanced degrees over these certificate programs. However, less than 20% of the faculty surveyed obtained an additional degree beyond the Doctor of Pharmacy. Advanced degree programs are also a relatively uncommon component of pharmacy residency programs, with a Master of Science in Health‐System Pharmacy Administration being the most common. The first year of an innovative postgraduate 24‐month pharmacy practice residency program that includes completion of a Master of Science in Education degree offers the breadth and depth of ambulatory care practice, teaching, service, and research/scholarship that is beneficial for pharmacists seeking pharmacy practice faculty appointments. Eight key residency elements critical for success are detailed. A description of core coursework highlighted the intentional design of the Master of Science in Education degree program. Previous resident graduates reflected on the value of the Master of Science in Education degree program and the overall pharmacy residency program. This unique post‐graduate training program may serve as a model for preparing pharmacy practice faculty.
Study on the desulfurization effect of coal by microwave–Fenton system
Authors: Cheng Sidan , Li Mei , Xu Shiyong , Ding Ning , Yue Jinsong , Li Hui , Xu Rongsheng , Gao Caiyun 
Published: November 2022

AbstractBACKGROUNDMicrowave‐assisted and Fenton reagents were combined to enhance the removal effect of sulfur from coal. The coal samples before and after desulfurization were characterized by various testing methods such as X‐ray photoelectron spectroscopy, X‐ray diffraction and scanning electron microscopy.RESULTSThe microwave–Fenton system showed the best desulfurization effect with a desulfurization rate of 77.52% at a microwave power of 800 W and irradiation time of 5 min, which was 82.96% higher than the maximum desulfurization rate of Fenton reagents alone. The desulfurization rates of pyrite sulfur, organic sulfur and sulfate sulfur can reach 88.76%, 58.77% and 59.33%, respectively.CONCLUSIONThe minerals in the treated coal samples were significantly reduced. The microwave–Fenton system can generate a large number of hydroxyl radicals to break the CS bond, while exposing more sulfur‐containing groups to the reagents, resulting in more oxidation of low‐valent sulfur and sulfoxide to high‐valent sulfone and sulfate sulfur. The model compound removal effect was measured, dibenzyl sulfide > diphenyl sulfoxide > diphenyl sulfoxide > dibenzothiophene, while the microwave–Fenton system could significantly enhance the desulfurization effect of the above four model compounds. It was found that with the increase in applied electric field, the reaction energy barrier decreased and the CS bond was more easily broken, which was favorable to the reaction. © 2022 Society of Chemical Industry (SCI).
Evaluating water quality benefits of manureshed management in the Susquehanna River Basin
Authors: Saha Arghajeet , Saha Gourab K. , Cibin Raj , Spiegal Sheri , Kleinman Peter J. A. , Veith Tamie L. , White Charles. M. , Drohan Patrick. J. , Tsegaye Teferi 
Published: November 2022

AbstractManureshed management guides the sustainable use of manure resources by matching areas of crop demand (nutrient sinks) with areas generating livestock manure (nutrient sources). A better understanding of the impacts of manureshed management on water quality within sensitive watersheds is needed. We quantified the potential water quality benefits of manureshed‐oriented management through scenario‐based analyses in the Susquehanna River Basin (SRB) using the Soil and Water Assessment Tool. Five manureshed management scenarios were developed and compared with a baseline “business‐as‐usual” scenario. The baseline assumes manure is less transportable, which means some locations have manure application in excess of crop demand. The “watershed nutrient balance” scenarios assume excess manure from surplus locations is transportable and that manure is applied around the SRB based on crop nutrient demand. The “watershed nutrient balance avoiding runoff prone areas” scenarios assume manure is transportable but not applied in vulnerable landscapes of the SRB. Each scenario was evaluated under two application rates considering crop nitrogen demand (N‐based) and phosphorus demand (P‐based). Phosphorus‐based manureshed management was more effective in water quality improvements than N‐based management. Phosphorus‐based nutrient balance scenarios simulated 3 and 25% reduction in total N (TN) and total P (TP), respectively, from the baseline scenario at the watershed outlet. The N‐ and P‐based scenarios avoiding runoff prone areas simulated 3 and 6% reduction in TN loss and 4 and 25.2% reduction in TP loss, respectively, from the baseline. Overall, the manureshed management scenarios were more effective in improving the quality of local streams in livestock‐intensive regions than at the watershed outlet.
Cumulative incidence of SARS‐CoV‐2 infection in the general population of the Valencian Community (Spain) after the surge of the Omicron BA.1 variant
Authors: Camacho Jorge , Giménez Estela , Albert Eliseo , Zulaica Joao , Álvarez‐Rodríguez Beatriz , Torres Ignacio , Rusu Luciana , Burgos Javier S. , Peiró Salvador , Vanaclocha Hermelinda , Limón Ramón , Alcaraz María Jesús , Sánchez‐Payá José , Díez‐Domingo Javier , Comas Iñaki , Gonzáles‐Candelas Fernando , Geller Ron , Navarro David ,   the Valencian Vaccine Research Program (ProVaVac) study group
Published: November 2022

AbstractStudies investigating the cumulative incidence of and immune status against SARS‐CoV‐2 infection provide valuable information for shaping public health decision‐making. A cross‐sectional study on 935 participants, conducted in the Valencian Community (VC), measuring anti‐SARS‐CoV‐2‐receptor binding domain‐RBD‐total antibodies and anti‐Nucleocapsid (N)‐IgGs via electrochemiluminescence assays. Quantitation of neutralizing antibodies (NtAb) against ancestral and Omicron BA.1 and BA.2 variants and enumeration of SARS‐CoV‐2‐S specific‐IFNγ‐producing CD4+ and CD8+ T cells was performed in 100 and 137 participants, respectively. The weighted cumulative incidence was 51.9% (95% confidence interval [CI]: 48.7–55.1) and was inversely related to age. Anti‐RBD total antibodies were detected in 97% of participants; vaccinated and SARS‐CoV‐2‐experienced (VAC‐ex; n = 442) presented higher levels (p < 0.001) than vaccinated/naïve (VAC‐n; n = 472) and nonvaccinated/experienced (UNVAC‐ex; n = 63) subjects. Antibody levels correlated inversely with time elapsed since last vaccine dose in VAC‐n (Rho, −0.52; p < 0.001) but not in VAC‐ex (rho −0.02; p = 0.57). Heterologous booster shots resulted in increased anti‐RBD antibody levels compared with homologous schedules in VAC‐n, but not in VAC‐ex. NtAbs against Omicron BA.1 were detected in 94%, 75%, and 50% of VAC‐ex, VAC‐n and UNVAC‐ex groups, respectively. For Omicron BA.2, the figures were 97%, 84%, and 40%, respectively. SARS‐CoV‐2‐S‐reactive IFN‐γ T cells were detected in 73%, 75%, and 64% of VAC‐ex, VAC‐n and UNVAC‐ex, respectively. Median frequencies for both T‐cell subsets were comparable across groups. In summary, by April 2022, around half of the VC population had been infected with SARS‐CoV‐2 and, due to extensive vaccination, displayed hybrid immunity.
Glucose and lipid metabolism indexes and blood inflammatory biomarkers of patients with severe periodontitis: A cross‐sectional study
Authors: Guan Xiaoyuan , Wang Xiane , Li Yi , Xu Jingling , He Lu , Xu Li , Xu Xinran , Meng Huanxin 
Published: November 2022

AbstractBackgroundTo investigate the relation of established glucose and lipid metabolism indexes and blood inflammatory biomarkers with severe periodontitis in systemically healthy patients.MethodsSystemically healthy Stage III/IV periodontitis patients (case group) (n = 397), Stage II periodontitis patients (n = 36), and periodontally healthy subjects (control group) (n = 285) were recruited. A periodontal examination, complete blood cell examination, and blood biochemical examination were conducted for all participants. Full‐mouth apical films were taken for the case group. Both the case and control groups were divided by age into younger (≤ 35 years) and elder subjects. Multiple logistic regression analysis and Pearson correlation analysis were conducted. A logistic least absolute shrinkage and selection operator (LASSO) model was constructed for the younger subgroups.ResultsVarious glucose and lipid metabolism indexes and blood inflammatory biomarkers significantly differed between severe periodontitis patients and healthy controls, and the younger subgroups presented a greater degree of statistical differences than the elder ones. More pairs of periodontal parameters and blood indexes with significantly fair linear correlations were found in the younger patient subgroup. A logistic LASSO regression model containing eight blood indexes to assess a severe periodontitis outcome in younger subgroups showed satisfactory predictive ability.ConclusionThe present study revealed various glucose and lipid metabolism indexes and blood inflammatory biomarkers significantly differ between severe periodontitis patients and healthy controls, especially in the younger subgroups. A LASSO regression model could be a viable option to assess severe periodontitis risk for younger patients.
Preparation of silicone oil nanoemulsion softeners using different surfactants and their effect on physical characteristics of polyester fabric
Authors: Lashgari Hamed , Ramazani Ali , Aghahosseini Hamideh 
Published: November 2022

AbstractSilicone oil nanoemulsion softeners with different particle sizes can be prepared using different surfactants with various ratios aminosilicone oil, surfactants concentration and time of mixing. The silicone oil nanoemulsion softeners could penetrate well into the polyester fibers; therefore, they can induce desirable physicochemical properties in the fabric. In current study, we first prepared silicone oil nanoemulsion softeners by designing via DOE software and with different particle sizes using nonyl phenol, octyl phenyl ether and fatty alcohol surfactants, and we investigated them using dynamic light scattering (DLS) and transmission electron microscope (TEM) techniques. In DOE software, the effect of various independent variables of emulsification process such as surfactant type, oil weight fraction, surfactant concentration and time of mixing on dependent variables were studied including particle size, z‐average and width. Then, we examined the physical characteristics of polyester fabric by applying silicone oil macro, micro and nanoemulsion softeners. The treated fabrics with these softeners were compared with each other through the physical properties. The scanning electron microscopy (SEM) analysis showed the polyester fabric treated with silicone nanoemulsion softeners appeared to have smoother fiber surface. To prove the penetration of silicone particles into the fabric fibers, a cross section was taken from the cross section of polyester fabric by microtome in liquid nitrogen. The TEM images from cross section of fabrics treated with the silicone oil nanoemulsion softeners confirmed that the nanoparticles had penetrated well into the polyester fibers; therefore, they could induce desirable physicochemical properties in the fabric.
An Itaconic Acid‐Based Phosphorus‐Containing Oligomer Endowing Epoxy Resins with Good Flame Retardancy and Toughness
Authors: Zhao Huijuan , Duan Huajun , Zhang Junjun , Chen Lu , Wan Chao , Zhang Chenhao , Liu Chentao , Ma Huiru 
Published: November 2022

AbstractWith the aim to reduce the influence of flammability and brittleness of epoxy resin (EP) on its applications, a phosphorus‐containing oligomer (BID) containing phosphophenanthrene group and flexible chain segment is designed and applied to methyltetrahydrophthalic anhydride (MeTHPA) curing EP systems. Compared with EP/MeTHPA, the glass transition temperature (Tg) declines after introducing BID. But the addition of BID endows EP/MeTHPA with good flame retardancy. When the dosage is only 19.2 wt.%, the limiting oxygen index (LOI) of EP/BID/MeTHPA increases by 77% to 36% (P content: 1.5 wt.%) compared with EP and reaches the vertical combustion (UL‐94) V‐0 rating. Cone calorimetry (CC) results reveal that PHRR and THR drop by 40% and 31%. The pyrolytic process and char residue data analysis show that BID plays flame‐retardant role in gas phase and condensed phase. In addition, impact and flexural and tensile strength improve by 84%, 19% and 54% individually, proving that BID holds a potential on enhancing mechanical performance of EP/MeTHPA.
Social media in marketing research: Theoretical bases, methodological aspects, and thematic focus
Authors: Li Fangfang , Larimo Jorma , Leonidou Leonidas C. 
Published: November 2022

AbstractThe widespread use of social media as a marketing tool during the last decade has been responsible for attracting a significant volume of academic research, which, however, can be described as highly fragmented to yield clear directions and insights. We systematically synthesize and critically evaluate extant knowledge of social media marketing extracted from 418 articles published during the period 2009–2021. In doing so, we use an organizing framework focusing on five key areas of social media marketing research, namely, social media as a promotion and selling outlet, social media as a communication and branding channel, social media as a monitoring and intelligence source, social media as a customer relationship management and value cocreation platform, and social media as a general marketing and strategic tool. Within each of these areas, we provide important theoretical, methodological, and thematic insights, as well as future research directions. We also offer useful managerial implications derived from the articles reviewed.
Implementation of interprofessional learning in hospital practice
Authors: Kvilhaugsvik Bente , Almås Synnøve Hofseth 
Published: November 2022

AbstractAimSome universities of applied science struggle with implementing interprofessional learning due to a lack of diversity in professions. The aim of this study was to investigate whether an interprofessional learning model with an informational letter describing interprofessional learning opportunities can provide nursing students in rural areas with sufficient interprofessional learning during internships.DesignThis qualitative study utilized a hermeneutical approach.MethodsA total of 17 individuals participated in focus groups, group interviews and written responses. The data collection: January 2019.ResultsFour categories were observed: (a) assumptions about interprofessional learning, (b) available interprofessional learning opportunities, (c) hindrances to interprofessional learning and (d) stimulation of interprofessional learning. The conclusion was that interprofessional learning can be implemented to some extent in areas where different professions work, even when only one student is present. A focus on interprofessional collaboration, patient safety and patient flow are valuable interprofessional learning objectives. An informational letter with suggestions for interprofessional learning, such as shadowing, was considered valuable by the participants.
The inflammatory proteome, obesity, and medical weight loss and regain in humans
Authors: Perry Andrew S. , Tanriverdi Kahraman , Risitano Antonina , Hwang Shih‐Jen , Murthy Venkatesh L. , Nayor Matthew , Zhao Shilin , Levy Daniel , Shah Ravi V. , Freedman Jane E. 
Published: November 2022

AbstractObjectiveWeight regain occurs after medical weight loss via mechanisms of post‐weight‐loss “metabolic adaptation.” The relationship of inflammatory proteins with weight loss/regain was studied to determine a role for inflammation in metabolic adaptation.MethodsSeventy‐four proteins central to inflammation and immune regulation (Olink) were analyzed in plasma from up to 490 participants in a trial of medical weight‐loss maintenance. Cross‐sectional and longitudinal associations of proteins with weight were measured using linear and mixed effects regression models and t testing, with replication in the Framingham Heart Study.ResultsBroad changes in the inflammatory proteome were observed among the study cohort (60% women, 35% African American) with initial weight loss of ≈8 kg from a median 94 kg at study entry (33/74 proteins; 7 increased; 26 decreased), many of which tracked with weight regain of median ≈2 kg over the next 30 months. Ten proteins were associated with different rates of weight regain, some specifying pathways of chemotaxis and innate immune responses. Several of the observed protein associations were also linked to prevalent obesity in the Framingham Heart Study.ConclusionsBroad changes in the inflammatory proteome track with changes in weight and may identify specific pathways that modify patterns of weight regain.image
Multisolving innovations: How digital equity, e‐waste, and right‐to‐repair policies can increase the supply of affordable computers
Authors: Gonzales Amy L. , Kim Yeweon , Wang Laurent H. 
Published: November 2022

AbstractPolicy debates about the digital divide often focus on the availability and quality of Internet access, despite the fact that device inequities are persistent and widespread. To address this important but often overlooked policy concern, we present findings from a systematic literature review of policy research that informs the supply of low‐cost, large‐screen computers. Using the framework of multisolving innovations, we explore policies from across three disparate sectors—e‐waste, right‐to‐repair, and digital inclusion—to determine whether any of these policies can serve as cross‐sector solutions that work simultaneously to help reduce digital inequalities and e‐waste, while strengthening secondhand device labor markets. As a result, we highlight a wide range of policies that would optimize both the supply and distribution of affordable devices to low‐income consumers and, at the same time, broaden the base of stakeholders invested in digital equity.
An exploratory study of social media's role in facilitating public participation in e‐rulemaking using computational text analysis tools
Authors: Schwoerer Kayla 
Published: November 2022

AbstractGovernment agencies struggle to use social media effectively to engage and involve the public. However, we know little about how individuals and groups on the other side of these efforts actually use social media to participate in government decision‐making processes, independent of government‐led engagement efforts. This exploratory study aims to address this by looking closer at how Twitter users self‐mobilize after a particular event in which they may be motivated to participate. Specifically, the study examines Twitter activity before and after the United States Department of the Interior proposed changes to its Freedom of Information Act (FOIA) regulations that would limit public access to agency records. Acomputational text analysis of 5000 tweets using #FOIA over a 99‐day period showed significant changes in the sentiment of the dialog before and after the proposed rule was announced. Furthermore, structural topic models show evidence of a diverse set of stakeholders using Twitter to exercise voice and share information about the proposed rule. Findings suggest that citizens and interest groups are taking to Twitter to mobilize participation in the rulemaking process prompting the need for more research on how the public uses social media to influence government decision‐making, absent of government‐led engagement efforts.
Invisible transparency: How different types of ad disclaimers on Facebook affect whether and how digital political advertising is perceived
Authors: Jost Pablo , Kruschinski Simon , Sülflow Michael , Haßler Jörg , Maurer Marcus 
Published: November 2022

AbstractOne central measure set out in the regulation of digital political advertising (DPA) concentrates on transparency disclaimers to make users aware that the respective content was bought and targeted at them with a specific intention by an advertiser. However, we lack scientific evidence about if and how users perceive transparency disclaimers of DPA on social media. This article aims to provide first empirical answers to these questions by drawing on a two‐part eye‐tracking study with 177 participants that compares the effect of different prominent ad disclaimers (i.e., versions previously [V1] and currently [V2] used by Facebook as well as a self‐designed [V3] disclaimer version) on the perception of DPA. We show that most users do not fixate on the ad disclaimers regardless of their prominence, nor does the prominence of the disclaimers affect the perceived intrusiveness and acceptance of the DPA. However, the recall and ad recognition were significantly lower for the less prominent ad disclaimers used by Facebook compared to our self‐designed more prominent version, pointing to the shortcomings of the platform's current transparency rules. Altogether, our study allows a more substantiated discussion about how DPA is recognized and evaluated by users, which contributes to the debate about incorporating regulations for DPA.
Combustion Wave Structure of the Ammonium Dinitramide‐Based Ionic Liquid Propellant
Authors: Ide Yuichiro , Izato Yu‐ichiro , Koshi Mitsuo , Miyake Atsumi , Habu Hiroto , Tokudome Shinichiro 
Published: November 2022

AbstractThe ammonium dinitramide‐based ionic liquid propellant (ADN‐based ILP), which is a mixture of ADN, monomethylamine nitrate (MMAN), and urea, is a low toxic monopropellant with a higher performance than that of hydrazine. To clarify the combustion wave structure of ADN‐based ILP, which has low volatility, we focused on the relationship between the phase state and temperature in ADN‐based ILP combustion and on clarifying the gas‐liquid phase reaction. The combustion still image and temperature distribution of ADN‐based ILP were obtained by strand burning tests with a high‐speed camera. As a result, two stages of the stable temperature region were found in the gas‐liquid phase. The pressure dependences of temperature in the stable temperature region were compared with the vapor pressure curves of some chemical substances and with the decomposition temperatures of ADN, MMAN, and urea. Then, it was inferred that the thermal decompositions of ADN, MMAN, and urea, as well as the evaporation of urea had occurred at the first stage of the stable temperature region. Also, it was found that the liquid ammonium nitrate had been dissociated at the second stage of the stable temperature region. For a report on the existence of dissociation products of MMAN and urea vapor on the burning surface at 1.2 MPa, the dissociation of MMAN and evaporation of urea would occur at the first stage of the stable temperature region at 1.2 MPa. As stated above, the combustion wave structure of ADN‐based ILP was developed at 1.2 MPa.