bluuebunny/crossref_metadata_2025_split huggingface dataset:
Enacting whole‐school relationships and sexuality education in England: Context matters
Authors: Bragg Sara , Ponsford Ruth , Meiksin Rebecca , Lohan Maria , Melendez‐Torres G.J. , Hadley Alison , Young Honor , Anne Barter Christine , Taylor Bruce , Bonell Chris 
Published: March 2022

AbstractEvidence from intervention evaluations suggests that achieving meaningful and lasting social, behavioural and attitudinal change from relationships, sex and health education (RSHE) in schools requires more than just a curriculum. Whole‐school approaches appear particularly promising since they work at multiple levels. For instance, they may: engage with carers, communities and local services; address iniquitous cultures and norms; change school policies and practices; and actively involve young people themselves. They have also been advocated to tackle sexual harassment and abuse in schools. Currently, however, such approaches have not been rigorously evaluated in the UK. This article focuses on the whole‐school elements of two recent RSHE pilot studies conducted in English secondary schools. We describe how these elements were variably enacted in different settings. We analyse contextual factors that help account for these differences, including: teacher and departmental professional identity and autonomy; broader education policy including high‐stakes testing and school inspection judgements; the significance of support staff; and staff–student relationships and partnerships. We argue that the likely impact of whole‐school approaches and RSHE in schools more generally will depend on attending to all of these factors. The paper contributes firstly to debates about the theory and practice of RSHE by highlighting the significance of processes and cultures beyond the classroom in enabling or constraining positive change. Secondly it contributes to scholarship that elucidates the role of contexts, broadly defined, in understanding the enactment of policy and practice.
Circular business model experimentation capabilities—A case study approach
Authors: Hofmann Florian , zu Knyphausen‐Aufseß Dodo 
Published: March 2022

AbstractReal‐world experiments are best suited for testing and validating novel circular business models (CBMs). Despite the increasing prominence of experimentation in CBM research, there is a lack of investigations on how firms manage and organize CBM experiments. This study aims to fill this research gap by examining the organizational capabilities needed to orchestrate CBM experiments, beyond prototyping, piloting, iterating, and scaling up. Drawing on a systematic within‐ and cross‐case analysis with two fundamentally different firms that nevertheless share the same objective—the dynamic stabilization of a long‐term viable CBM—we offer a new perspective on the management and organization of CBM experiments. The study shows how the investigated firms have developed three CBM experimentation capabilities over time, which can be disaggregated into (1) contextualizing, (2) dynamic co‐structuring, and (3) governing intangible assets. Moreover, the findings provide further theoretical directions for CBM experiments and identify gaps for future research.
Implantable device actuated by manual button clicks for noninvasive self‐drug administration
Authors: Kim Cho Rim , Cho Yong Chan , Lee Seung Ho , Han Jae Hoon , Kim Min Ji , Ji Han Bi , Kim Se‐Na , Min Chang Hee , Shin Byung Ho , Lee Cheol , Cho Young Min , Choy Young Bin 
Published: March 2022

AbstractSelf‐injectable therapy has several advantages in the treatment of metabolic disorders. However, frequent injections with needles impair patient compliance and medication adherence. Therefore, we develop a fully implantable device capable of on‐demand administration of self‐injection drugs via noninvasive manual button clicks on the outer skin. The device is designed to infuse the drug only at the moment of click actuation, which allows for an accurate and reproducible drug infusion, and also prevents unwanted drug leakage. Using a mechanical means of drug infusion, this implantable device does not contain any electronic compartments or batteries, making it compact, and semi‐permanent. When tested in animals, the device can achieve subcutaneous injection‐like pharmacokinetic and pharmacodynamic effects for self‐injection drugs such as exenatide, insulin, and glucagon.
The strategic role of community college presidents in activating student success outcomes
Authors: Davis Jemilia S. , DeSantis Andrea L. , Jaeger Audrey J. 
Published: March 2022

AbstractUsing statewide, local‐level, and institutional data, presidents identify an area of opportunity to serve their communities using strategies that increase college access, enrollment, retention, transfer, and program alignment to the labor market. This article reveals how data informed specific actions to improve student success of a diverse set of community colleges signaling key strategies that practitioners can emulate.
The college completion agenda: Managing and leading change
Authors: Cutler White Carol 
Published: March 2022

AbstractSince the 1947 Truman Commission's recommendation to establish local colleges in communities, the multiple mission community colleges have provided access and affordable education for millions. In the early years of the new millennium, community colleges garnered increased attention as engines of credential completion as the need for a college education came into focus. Broadly known as the completion or the attainment agenda, national efforts driven by philanthropic organizations prompted examination of student progression into and through community colleges. The purpose of this article is to trace the genesis of the completion agenda to the Truman Commission's Higher Education for Democracy report, to describe four community college completion initiatives, to make recommendations for leading internal change, and to provide leaders with a framework for initiating and monitoring change to improve student outcomes through use of the Prosci ADKAR change model and the Aspen Institute's Community College Excellence curriculum.
Continuous and Electrochemical Synthesis of 2,2’,4,4’,6,6’‐Hexanitrostilbene
Authors: Zou Jiedong , Deng Jie , Qin Yaqi , Li Tiancheng , Zhou Xinli , Lu Ming , Wang Pengcheng 
Published: March 2022

Abstract2,2′,4,4′,6,6′‐Hexanitrostilbene, an excellent thermally stable explosive, has diverse applications in aerospace field. However, current methods for fabricating this compound entail environmental concerns and the generation of undesirable by‐products. To overcome such limitations, in this study, a continuous method based on the use of a static mixer combined with electrochemistry was used to prepare 2,2’,4,4’,6,6’‐hexanitrostilbene for the first time, and the yield of hexanitrostilbene produced by the continuous process reached 65 %. The use of the static mixer enables the effective mixing of the material; in addition, the electrocatalytic method converts the by‐products into the target product, making the reaction process efficient and environmentally friendly. This method concurrently combines the advantages of a simple reaction process for the one‐step synthesis of the target product, easy large‐scale continuous production, and high yield.
Three‐Dimensional Hierarchical Ternary Nanostructures Bismuth/Polypyrrole/CNTs for High Performance Potassium‐Ion Battery Anodes
Authors: Zhang Wenming , Chen Xiaoyu , Xu Haoshan , Liu Yiqun , Zhao Xiaohui , Zhang Zisheng , Li Ling 
Published: March 2022

Comprehensive SummaryIn recent years, the anode materials of bismuth(Bi)‐based potassium ion batteries with high theoretical capacity and suitable potassium ion insertion potential have attracted extensive attention. However, due to the volume expansion of Bi, the performance of Bi‐based anode materials is not ideal during potassium ion (de)intercalation. In order to solve these problems, we report a three‐dimensional (3D) ternary bismuth nanoparticles/conductive polymers/carbon nanotubes (Bi/PPy/CNT) hybrid anode material for K‐ion batteries. At a current density of 100 mA·g–1, its reversible capacity reaches 302 mAh·g–1 after 200 cycles, while it reaches 195.7 mAh·g–1 after 600 cycles at 1 A·g–1. Its excellent performance is attributed to the hydrogel network which provides a range of electron transport networks and high porosity. Carbon nanotubes are used as electron enhancers to reduce the volume expansion of Bi particles during the reaction. This study provides a prerequisite for expanding the application of 3D ternary materials.
Impact of the “atherosclerotic pabulum” on in‐hospital mortality for SARS‐CoV‐2 infection. Is calcium score able to identify at‐risk patients?
Authors: Pergola Valeria , Cabrelle Giulio , Previtero Marco , Fiorencis Andrea , Lorenzoni Giulia , Dellino Carlo Maria , Montonati Carolina , Continisio Saverio , Masetto Elisa , Mele Donato , Perazzolo Marra Martina , Giraudo Chiara , Barbiero Giulio , De Conti Giorgio , Di Salvo Giovanni , Gregori Dario , Iliceto Sabino , Motta Raffaella 
Published: March 2022

AbstractBackgroundAlthough the primary cause of death in COVID‐19 infection is respiratory failure, there is evidence that cardiac manifestations may contribute to overall mortality and can even be the primary cause of death. More importantly, it is recognized that COVID‐19 is associated with a high incidence of thrombotic complications.HypothesisEvaluate if the coronary artery calcium (CAC) score was useful to predict in‐hospital (in‐H) mortality in patients with COVID‐19. Secondary end‐points were needed for mechanical ventilation and intensive care unit admission.MethodsTwo‐hundred eighty‐four patients (63, 25 years, 67% male) with proven severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) infection who had a noncontrast chest computed tomography were analyzed for CAC score. Clinical and radiological data were retrieved.ResultsPatients with CAC had a higher inflammatory burden at admission (d‐dimer, p = .002; C‐reactive protein, p = .002; procalcitonin, p = .016) and a higher high‐sensitive cardiac troponin I (HScTnI, p = <.001) at admission and at peak. While there was no association with presence of lung consolidation and ground‐glass opacities, patients with CAC had higher incidence of bilateral infiltration (p = .043) and higher in‐H mortality (p = .048). On the other side, peak HScTnI >200 ng/dl was a better determinant of all outcomes in both univariate (p = <.001) and multivariate analysis (p = <.001).ConclusionThe main finding of our research is that CAC was positively related to in‐H mortality, but it did not completely identify all the population at risk of events in the setting of COVID‐19 patients. This raises the possibility that other factors, including the presence of soft, unstable plaques, may have a role in adverse outcomes in SARS‐CoV‐2 infection.
Design and Synthesis of Oligopeptidic Parvulin Inhibitors
Authors: Relitti Nicola , Prasanth Saraswati A. , Carullo Gabriele , Papa Alessandro , Monti Alessandra , Benedetti Rosaria , Passaro Eugenia , Brogi Simone , Calderone Vincenzo , Butini Stefania , Gemma Sandra , Altucci Lucia , Campiani Giuseppe , Doti Nunzianna 
Published: March 2022

AbstractPin1 catalyzes the cis‐trans isomerization of pThr‐Pro or pSer‐Pro amide bonds of various proteins involved in several physio/pathological processes. In this framework, recent research activity is directed toward the identification of new selective Pin1 inhibitors. Here, we developed a set of peptide‐based Pin1 inhibitors. Direct‐binding experiments allowed the identification of the peptide‐based inhibitor 5 k (methylacetyl‐l‐alanyl‐l‐histidyl‐l‐prolyl‐l‐phenylalaninate) as a potent ligand of Pin1. Notably, 5 k binds Pin1 with higher affinity than Pin4. The comparative analysis of molecular models of Pin1 and Pin4 with the selected compound gave a rational explanation of the biochemical activity and pinpointed the chemical elements that, if opportunely modified, may further improve inhibitory potency, pharmacological properties, and selectivity of future peptide‐based parvulin inhibitors. Since 5 k showed limited cell penetration and no antiproliferative activity, it was conjugated to a polyarginine stretch (R8), known to promote cell penetration of peptides, to obtain the R8–5 k derivative, which displayed antiproliferative effects on cancer cell lines over non‐tumor cells. The effect of R8 on cell proliferation was also investigated. This work warrants caution about applying the R8 strategy in the development of cell‐penetrating antiproliferative peptides, as it is not inert.
A deep learning framework with convolutional long short‐term memory for influenza‐like illness trend estimation
Authors: Kara Ahmet 
Published: March 2022

AbstractForecasting and modeling real‐world time series problems have been challenging for researchers due to nonlinear and complicated patterns. With the recent developments in deep learning, more accurate and efficient forecasting can be provided by learning the relationships between input and output data. This article has introduced a novel hybrid approach, called the GA‐ConvLSTM‐CNN, based on the genetic algorithm (GA), convolutional long short‐term memory (ConvLSTM) and convolutional neural network (CNN) to capture complex and sophisticated features from historical data. The GA‐ConvLSTM‐CNN approach is constructed with two‐stacked ConvLSTM networks, two‐stacked CNN, and a fully connected layer to alleviate the complexity of the real‐world time series problems with multivariate and multistep. In order to increase the accuracy of the GA‐ConvLSTM‐CNN, the genetic algorithm is adopted to simultaneously optimize the network's hyperparameters. With the aim of making comparisons, the weekly influenza‐like illness (ILI) and the weather data have been handled. The GA‐ConvLSTM‐CNN framework compared different techniques comprising machine learning and deep learning approaches. The results have indicated that the GA‐ConvLSTM‐CNN has the ability to accomplish more effective prediction accuracy and provide remarkable support for ILI outbreaks than the benchmark techniques.
Effect of a Ketohexokinase Inhibitor (PF‐06835919) on In Vivo OATP1B Activity: Integrative Risk Assessment Using Endogenous Biomarker and a Probe Drug
Authors: Tess David A. , Kimoto Emi , King‐Ahmad Amanda , Vourvahis Manoli , Rodrigues A. David , Bergman Arthur , Qui Ruolun , Somayaji Veena , Weng Yan , Fonseca Kari R. , Litchfield John , Varma Manthena V. S. 
Published: March 2022

PF‐06835919 is a first‐in‐class ketohexokinase inhibitor (KHKi), recently under development for the treatment of metabolic and fatty liver diseases, which inhibited organic anion transporting polypeptide (OATP)1B1 in vitro and presented drug–drug interaction (DDI) risk. This study aims to investigate the dose‐dependent effect of KHKi on OATP1B in vivo activity. We performed an open‐label study comparing pharmacokinetics of atorvastatin (OATP1B probe) dosed alone (20 mg single dose) and coadministered with two dose strengths of KHKi (50 and 280 mg once daily) in 12 healthy participants. Additionally, changes in exposure of coproporphyrin‐I (CP‐I), an endogenous biomarker for OATP1B, were assessed in the atorvastatin study (1.12‐fold and 1.49‐fold increase in area under the plasma concentration‐time profile (AUC) with once‐daily 50 and 280 mg, respectively), and a separate single oral dose study of KHKi alone (100–600 mg, n = 6 healthy participants; up to a 1.80‐fold increase in AUC). Geometric mean ratios (90% confidence interval) of atorvastatin AUC following 50 and 280 mg KHKi were 1.14 (1.00–1.30) and 1.54 (1.37–1.74), respectively. Physiologically‐based pharmacokinetic modeling of CP‐I plasma exposure following a single dose of KHKi predicted in vivo OATP1B inhibition from about 13% to 70% over the 100 to 600 mg dose range, while using the in vitro inhibition potency (1.9 µM). Model‐based analysis correctly predicted “no‐effect” (AUC ratio < 1.25) at the low dose range and “weak” effect (AUC ratio < 2) on atorvastatin pharmacokinetics at the high dose range of KHKi. This study exemplified the utility of biomarker‐informed model‐based approach in discerning even small effects on OATP1B activity in vivo, and to project DDI risk at the clinically relevant doses.
Propagation and cultivation practices of honeybush (Cyclopia spp.) for the sustainable production of an export quality indigenous South African tea
Authors: Karsen Pippa A. , Lötze Elmi , Valentine Alexander J. , Hoffman Eleanor W. 
Published: March 2022

AbstractHoneybush (Cyclopia) species are endemic to the Fynbos Biome of the Cape Floral Kingdom in South Africa. Traditionally, honeybush foliage is cut, fermented, and sun‐dried to make an antioxidant‐rich herbal tea. Approximately 80% of honeybush is unsustainably harvested from the wild. All commercial species are indicated on the International Union for Conservation of Nature Red List of Threatened Species. Cultivation is thus required to ensure sufficient volumes of tea are produced. A major limitation to cultivation is the poor rooting responses of the species that regenerate from shoots, C. genistoides and C. intermedia, the latter being the most harvested from the wild. The establishment of clonally propagated material is a challenge for all six of the commercially important Cyclopia species. Research on honeybush has mainly focused on the unique properties contributing to flavor, medicinal value, as well as processing. Much less is known about propagation, nutrient requirements, harvesting procedures, plant improvement, and pest and disease management. This review considers management strategies for the sustainable harvesting of wild honeybush and the potential risks of introducing improved plant material. Cultivation practices and management strategies that promote longevity and enhance yield are defined. The inherent rooting ability of cuttings is discussed. Cultivated stands are mostly established by seedlings which results in diversity of vigor and tea quality. A sustainable market based on high‐quality indigenous tea requires the use of clonal material which allows the selection of desired traits and rapid multiplication. Its use would enable improved yield and profitability without compromising tea quality.
Field and simulation study of the rational retracement channel position and control strategy in close‐distance coal seams
Authors: Lv Kai , He Fulian , Li Liang , Xu Xuhui , Qin Binbin 
Published: March 2022

AbstractDifferent from single coal seam mining, the stress evolution in the end mining stage of close‐distance coal seams is extremely complex. The unreasonable position and support of the lower retracement channel will cause serious deformation and damage to the surrounding rock. Taking the Yanzishan coal mine as the engineering background, the deformation and failure characteristics of the retracement channel under different overlay environments and the key influencing factors of position design were discussed by numerical simulation, theoretical analysis, and field investigation. The results show that the coupling superposition of upper coal pillar high stress and mining dynamic pressure will form a dangerous area with severe ground pressure behavior. The retracement channel should be preferentially designed in zone A (overlying mining roadways), followed by zone B (overlying end‐mining coal pillar), and finally, zone C (overlying section coal pillar). In addition, the rational horizontal distance between the lower retracement channel and the upper end‐mining coal pillar should make the channel in a good stress environment. The safety distance between the retracement channel and the nearest main roadway (end‐mining coal pillar width) should be greater than the severe range of advance abutment pressure. Finally, the design principle and control strategy for the lower retracement channel is proposed. The feasibility and rationality of the study are verified by industrial applications.
Work‐life (re)negotiation for mid‐career faculty
Authors: Perez Rosemary J. 
Published: March 2022

AbstractWhile working towards tenure, faculty members are rewarded for enacting ideal worker norms (Acker, 1990) or prioritizing work resulting in high levels and quality of production over other components of one's life. Striving to meet ideal worker norms has real costs to faculty members who may experience high levels of stress, negative health outcomes, or strained relationships. However, failing to comply with these norms also has implications and may impede individual's career advancement. Having achieved promotion and tenure, mid‐career faculty are uniquely positioned to renegotiate their relationship to ideal worker norms in the academy and can use their agency to contest them. Accordingly, this chapter examines the construct of the ideal worker (Acker, 1990) and how it affects faculty work before providing insight on how mid‐career faculty may change their relationship with ideal worker norms and notions of productivity in their lives and at their institutions.
Bile multi‐omics analysis classifies lipid species and microbial peptides predictive of carcinoma of gallbladder
Authors: Sharma Nupur , Yadav Manisha , Tripathi Gaurav , Mathew Babu , Bindal Vasundhra , Falari Sanyam , Pamecha Viniyendra , Maras Jaswinder Singh 
Published: March 2022

Abstract

Background and Aims
Histopathological examination is the gold standard for detection of gallstone (GS) or gallbladder carcinoma (CAGB). Bile concentrated in the gallbladder (GB) is expected to recapitulate metagenomics and molecular changes associated with development of CAGB.

Approach and Results
Bile samples were screened for lipidomics and metaproteome (metagenomics) signatures capable of early detection of cancer in GB anomalies. Analysis of the training cohort (n = 87) showed that metastability of bile was reduced in CAGB (p < 0.05). CAGB bile showed significant alteration of lipidome and microbiome as indicated by multivariate partial least squares regression analysis and alpha‐diversity and beta‐diversity indexes (p < 0.05). Significant reduction of lipid species and increase in bacterial taxa were found to be associated with patients with CAGB, CAGB with GS, and GS (p < 0.05, log fold change >1.5). A multimodular correlation network created using weighted lipid/metaproteomic correlation network analysis showed striking associations between lipid and metaproteomic modules and functionality. CAGB‐linked metaproteomic modules/functionality directly correlated with lipid modules, species, clinical parameters, and bile acid profile (p < 0.05). Increased bacterial taxa (Leptospira, Salmonella enterica, Mycoplasma gallisepticum) and their functionality showed a direct correlation with lipid classes such as lysophosphatidylinositol, ceramide 1‐phosphate, and lysophosphatidylethanolamine and development of CAGB (r
2 > 0.85). Lipid/metaproteomic signature–based probability of detection for CAGB was > 90%, whereas that for GS was > 80% (p < 0.05). Validation of eight lipid species using four machine learning algorithms in two separate cohorts (n = 38; bile [test cohort 1] and paired plasma [test cohort 2]) showed accuracy (99%) and sensitivity/specificity (>98%) for CAGB detection.

Conclusions
Bile samples of patients with CAGB showed significant reduction in lipid species and increase in bacterial taxa. Our study identifies a core set of bile lipidome and metaproteome signatures which may offer universal utility for early diagnosis of CAGB.