bluuebunny/crossref_metadata_2025_split huggingface dataset:
Downregulation of Stem-loop binding protein by nicotine via α7-nicotinic acetylcholine receptor and its role in nicotine-induced cell transformation
Authors: Sun Qi , Chen Danqi , Raja Amna , Grunig Gabriele , Zelikoff Judith , Jin Chunyuan 
Published: March 2022

AbstractThe use of electronic-cigarettes (e-cigs) has increased substantially in recent years, particularly among the younger generations. Liquid nicotine is the main component of e-cigs. Previous studies have shown that mice exposed to e-cig aerosols developed lung adenocarcinoma and bladder hyperplasia. These findings implicated a potential role for e-cig aerosols and nicotine in cancer development, although the underlying mechanisms are not fully understood. Here we report that exposure to liquid nicotine or nicotine aerosol generated from e-cig induces downregulation of Stem-loop binding protein (SLBP) and polyadenylation of canonical histone mRNAs in human bronchial epithelial cells and in mice lungs. Canonical histone mRNAs typically do not end in a poly(A) tail and the acquisition of such a tail via depletion of SLBP has been shown to causes chromosome instability. We show that nicotine-induced SLBP depletion is reversed by an inhibitor of α7-nAChR (nicotinic acetylcholine receptors) or siRNA specific for α7-nAChR, indicating a nAChR-dependent reduction of SLBP by nicotine. Moreover, not only CDK1 and CK2, two kinases well known for their function for SLBP phosphorylation and degradation, but also CDK2 and PI3K/AKT pathways are shown to be involved, α7-nAChR-dependently, in nicotine-induced SLBP depletion. Importantly, nicotine-induced anchorage-independent cell growth is attenuated by inhibition of α7-nAChR and is rescued by overexpression of SLBP. We propose that the SLBP depletion and polyadenylation of canonical histone mRNAs via activation of α7-nAChR and a series of downstream signal transduction pathways, are critical for nicotine-induced cell transformation and potential carcinogenesis.
AHP-goal programming as the optimization method for management model in oil palm empty bunches waste
Authors: Kusrini Novira , Sulistiawati Rini , Imelda Imelda 
Published: March 2022

Purpose
This study aims to determine the optimum model of oil palm empty bunches (OPEB) management, to determine the optimal number of OPEB in waste management, which is then recommended to the company, and to know the achievement of various goals/targets with limited availability of resources.

Design/methodology/approach
This research uses quantitative and qualitative approaches. Quantitative approach is done by processing the data for financing and profit analysis in OPEB waste management which is then used for resource approach. A qualitative approach is undertaken for weighing purposes in the analytic hierarchical program (AHP) analysis. The research location was determined purposively in the crude palm oil mill of PT. Pundi Lahan Khatulistiwa in Ambawang, Kubu Raya Regency.

Findings
In order that the optimal settlement can achieve the goal/target of minimal environmental pollution, low cost and profit gain, the amount of OPEB that must be managed by the company is 311 tons prioritized for productive plants compost of 66.67 tons, organic fertilizer of 11 tons and mushroom growing media of 233.33 tons. Consequently, the company's cost of IDR 4.000.000.000 still spares IDR 2.004.694.000. The OPEB management as oyster mushroom promises a relatively high profit compared to other OPEB managements even though the cost is not the least.

Originality/value
This research is one of the few studies that examines the waste management model of palm oil empty bunches, mainly located in West Kalimantan, Indonesia. Originality is seen from the use of optimization analysis tools with integration of AHP with goal programming.
Imperatives for open innovation in times of COVID-19
Authors: Jha Srirang Kumar 
Published: March 2022

Purpose
COVID-19 pandemic has triggered an existential crisis amongst the companies, communities, organisations and institutions across the globe. People are facing unusual scenarios characterized by prolonged lockdowns, changes in the work from home compulsions, job losses, disruptions in the supply-chain networks, the slowdown in economies, scarcity of essential commodities and unavailability of medical services due to burgeoning numbers of positive cases with COVID-19. Death rates due to COVID-19 are alarmingly high, which complicate matters all the more. The purpose of this paper is to explore how open innovation can enable the suffering communities overcome the crisis of such magnitude.

Design/methodology/approach
This paper is based on general understanding and academic insight emerging out of the millennial crisis like COVID-19 that the author witnessed with close quarters.

Findings
The people’s suffering due to COVID-19 pandemic is terrific, almost unparalleled in the history of civilisation. However, the pandemic has also galvanised the people all over the world to come together and work towards collaborative problem solving and open innovation. As such, COVID-19 has presented an unprecedented situation which warrants extra-ordinary responses. The crisis has inadvertently made room for open innovation so that human miseries can be successfully mitigated by leveraging collective wisdom and traditional knowledge of the communities who are more than willing today to collaborate and make a difference in the solutions space in true sense.

Originality/value
This paper provides fresh insights on the rationale and efficacy of open innovations in overcoming the crisis like a pandemic. Companies across the globe have also come forward to work together with anyone, including their competitors, to explore immediate and practical solutions to the problems caused by COVID-19. The paper also provides a framework of developing as well as strengthening an ecosystem for open innovations in the world inflicted by unique civilizational crisis. The only way to get out of the current mess is to join hands for collaborations and collectively find innovative solutions to the issues plaguing humanity today.
Six Sigma for improving tensile strength: a case study in the impregnating resin manufacturing company
Authors: Ren Yingxue , Zhang Min , Bai Yin , Bai Haochen 
Published: March 2022

PurposeUnsatisfactory level of construction materials quality has been a persistent problem for companies in construction. This study aims to describe the application of the Six Sigma methodology for improving the tensile strength in a Chinese reinforcement material manufacturing company.Design/methodology/approachSix Sigma-based framework of define-measure-analyse-improve-control (DMAIC) methodology is adopted in this case study. During different stages, quality problems and critical factors are identified to improve the low performance of tensile strength and thixotropy of the impregnating resin.FindingsThe results provide solid evidence that how Six Sigma can be successfully applied in reinforcement material manufacturing. Results showed that vacuum degree, reaction temperature and stirring rate are significant factors on tensile strength. Control plans for continuous improvements are suggested and implemented. Our study found that managerial assurance activities such as verification were less developed than equipment-related control activities. Besides, data management required further elaboration on integrated data and information systematically, thereby to enable the company to make informed decisions and to support continuous improvement.Originality/valueThis study contributes to show a potential area in which Six Sigma DMAIC approach can promote to improve the tensile strength of impregnating resin. This case can prompt managers of the company to apply Six Sigma method to address complicated problems in other reinforcement material processes. Companies of construction and their suppliers can refer to this study when improving their manufacturing process.
Self-disclosure, social support and postpartum depressive mood in online social networks: a social penetration theory perspective
Authors: Lei Xueqin , Wu Hong , Deng Zhaohua , Ye Qing 
Published: March 2022

PurposeThe purpose of this research is to investigate how postpartum mothers conduct self-disclosure on social media may obtain social support and therefore improve their depressive mood.Design/methodology/approachThe authors extract variables of self-disclosure by manual coding postpartum mothers' 835 posts from a parenting social media in China. The ordinary least squares model and the binary logistic regression model are used to test the proposed hypotheses.FindingsThe study suggests that both mothers' superficial level disclosure and personal level disclosure positively affect online social support received, and the effect of personal level disclosure on social support is much greater than that of superficial level disclosure. Online social support received is related to the content of the post and reduces mothers' depressive mood. The authors further find that the association between personal level disclosure and depressive mood is fully mediated by social support.Research limitations/implicationsThe data are collected from a parenting social network. Although it is the major parenting social media with the most users in China, the generalizability of this model and the findings to other social media need additional research.Practical implicationsThis study offers implications for researchers and practitioners with regard to social media uses and impacts, which also has important implications for policy and interventions for the mental health of mothers.Originality/valueThis paper makes theoretical contributions to the literature of social penetration theory and social support by (1) dividing self-disclosure into superficial level disclosure and personal level disclosure according to the intimacy of self-disclosure; (2) empirically investigating the direct effect of online self-disclosure on social support and the mediating effect of social support between online self-disclosure and mothers' depressive mood.
The influence of entrepreneurial leadership on employee improvisation in new ventures: based on cognitive-affective processing system framework
Authors: Liu Jingjing , Zhou Xiaohu , Wang Qiao 
Published: March 2022

PurposeEmployee improvisation is valuable in seizing opportunities, creating radically new ideas and dealing with unexpected events. It is increasingly important for new ventures in unpredictable environments. However, as an important organizational factor, the mechanism of leadership style on employee improvisation has not been fully explored. Against this background, the purpose of this study is to examine the impact of entrepreneurial leadership on employee improvisation. Specifically, drawing on cognitive-affective processing system framework and regulatory focus theory, the study investigates the dual mediating role of workplace spirituality and positive affect between entrepreneurial leadership and employee improvisation and the moderating role of promotion focus in such relationships.Design/methodology/approachUsing time-lagged data from 327 leader–employee dyads from new ventures in China, the study tests all hypotheses using hierarchical multiple regression and bootstrapping analysis in IBM SPSS 26.0.FindingsThe results reveal that entrepreneurial leadership is positively related to employee improvisation, and this link is mediated by workplace spirituality and positive affect. Additionally, moderated path analysis indicates that promotion focus strengthens the direct effect of workplace spirituality and positive affect on employee improvisation and the indirect impact of entrepreneurial leadership on employee improvisation.Practical implicationsThe findings also provide some practical suggestions for managers on how to promote employee improvisation. Managers can promote employee improvisation by cultivating their entrepreneurial leadership. The results also constitute valuable information for new ventures in terms of suggesting steps that can be taken to promote employee improvisation in the workplace, particularly in regard to employees' cognition and affect. In addition, personality traits such as promotion focus should also be considered in recruitment.Originality/valueThe study makes an original contribution by showcasing the complex cognitive and affective mechanism of entrepreneurial leadership on employee improvisation. Through the dual mediating role of workplace spirituality and positive affect, the study expands the research results on employee improvisation and enriches the application of cognitive-affective processing system framework in the entrepreneurship field. The study also provides deeper insights into promotion focus research by exploring the boundary conditions of employee improvisation.
Composite Brownian walks best explain the movement patterns of Asian black bears, irrespective of sex, seasonality, and food availability
Authors: Ando Kyohei , Yoshikawa Tetsuro , Kozakai Chinatsu , Yamazaki Koji , Naganuma Tomoko , Inagaki Akino , Koike Shinsuke 
Published: March 2022

AbstractLarge solitary carnivores need to correspond to spatial and temporal variations in food resources, and therefore are expected to change their movement strategies seasonally and annually. Movement strategy of an animal is also mediated by internal factors such as sex. We investigate movement strategy of Asian black bears (Ursus thibetanus) in two biological periods (mating and hyperphagia periods), by fitting random walk models including Brownian walks (BWs), Lévy walks (LWs), and composite Brownian walks (CBWs). We explored the best random walk models approximating the movement paths of 59 trajectories performed by 29 Asian black bears, obtained in years with different food availability. The results strongly supported the occurrence of CBW patterns over scale‐free LW patterns for their movements. We found some differences in composition of the best CBW models between mating and hyperphagia periods, though no distinctive differences were found among the best models regarding sex and food availability. Our findings demonstrated that the CBW is the best model to describe the movement of the Asian black bears among the random walk models tested, and indicate the importance of understanding multiple modes of their activity or movement.
Punch in the gut: parasite tolerance of phytochemicals reflects host diet
Authors: Palmer‐Young Evan C. , Schwarz Ryan S. , Chen Yanping , Evans Jay D. 
Published: March 2022

SummaryGut parasites of plant‐eating insects are exposed to antimicrobial phytochemicals that can reduce infection. Trypanosomatid gut parasites infect insects of diverse nutritional ecologies as well as mammals and plants, raising the question of how host diet‐associated phytochemicals shape parasite evolution and host specificity. To test the hypothesis that phytochemical tolerance of trypanosomatids reflects the chemical ecology of their hosts, we compared related parasites from honey bees and mosquitoes – hosts that differ in phytochemical consumption – and contrasted our results with previous studies on phylogenetically related, human‐parasiticLeishmania. We identified one bacterial and 10 plant‐derived substances with known antileishmanial activity that also inhibited honey bee parasites associated with colony collapse. Bee parasites exhibited greater tolerance of chrysin – a flavonoid found in nectar, pollen and plant resin‐derived propolis. In contrast, mosquito parasites were more tolerant of cinnamic acid – a product of lignin decomposition present in woody debris‐rich larval habitats. Parasites from both hosts tolerated many compounds that inhibitLeishmania, hinting at possible trade‐offs between phytochemical tolerance and mammalian infection. Our results implicate the phytochemistry of host diets as a potential driver of insect–trypanosomatid associations and identify compounds that could be incorporated into colony diets or floral landscapes to ameliorate infection in bees.
Achieving sustainable development goals through the study of urban heat island changes and its effective factors using spatio‐temporal techniques: The case study (Tehran city)
Authors: Meftahi Maryam , Monavari Masoud , Kheirkhah Zarkesh Mirmasoud , Vafaeinejad Alireza , Jozi Ali 
Published: March 2022

AbstractThe present study is aimed at investigating the spatio‐temporal structure of land surface temperature (LST) and its interrelationship with physical and biophysical land surface properties, such as land use, vegetation, the indicators of climate changes and air pollution, and the density of buildings in Tehran city of Iran, using Landsat 5, 7 and 8 thermal bands of satellite images in cold and hot seasons during the 1984–2020 period. The results indicate that the mean LST of Tehran city has gradually increased over time. LST results in a hot season, such as May showed that the changes in 1990 were between 6 and 44°C, in 2000, between 20 and 44°C, in 2013 between 14 and 42°C and in 2020 the changes were between 15 and 51°C. Also, the formation of hot spots in the west and south demonstrated the direct connection pattern of the distribution of space. According to the results, a strong negative LST‐NDVI and positive LST‐NDBI correlation are observed throughout the period. In addition, as to the other indices, the results indicate a positive correlation among LST, and air pollution indicators (NO2, SO2, CO, CO2, PM2.5, and PM10 ppm), a negative correlation with precipitation and a positive correlation with temperature in climatic indices and negative LST‐ Humidity, NDWI, and NDMI. These show the regions where water can weaken the UHI effect in the city. LST also has a positive correlation with buildings density and population centers, as well as industries concentrated in the western regions of Tehran that are subjected to rising LST. The mixed urban landscape of the city is closely related to the changes of the LST and the indicators, including NDVI, different land covers, and urban industrial and commercial activities. Finally, the regional vulnerability of Tehran as a metropolis was determined by using geographic information systems and spatio‐temporal methods. Based upon the results, the western regions of Tehran had more urban vulnerabilities in terms of thermal phenomena and the northern regions remain with the least vulnerability.
Hunting the Datable Garnet using the LA‐ICP‐MS U‐Pb Method: Predicting Garnet U Concentration, based on Major and Minor Elements
Authors: DENG Yi , ZHONG Richen , LI Dengfeng , LI Yanxia , CUI Hao 
Published: March 2022

AbstractGarnet occurs in a wide range of rock types, from mantle peridotites to granites, from eclogites to skarns. In recent years, garnet LA‐ICP‐MS (Laser Ablation Inductively Coupled Plasma Mass Spectrometry) U‐Pb dating has provided a powerful solution for retrieving the ages of rock formations, but successful dating is often prohibited by the low concentration of U. However, the concentration of U, a trace element of garnet, is unknown prior to the LA‐ICP‐MS analysis. In this study, we propose that the U concentration in garnet can be predicted by the contents of major and minor elements, which can be quantitatively obtained by EPMA (electron probe microanalysis). Using a supervised machine learning method (neural network), a model is trained to discriminate U‐rich (>2 ppm) and U‐poor (<2 ppm) garnets, based on EPMA results. Results of cross validation shows that the model has an average accuracy of ∼92% and is a powerful tool in detecting datable U‐rich garnet. To facilitate the use of the discriminator, it is programmed as a stand‐alone Microsoft Excel spreadsheet (HighUGarnet) and users directly paste the molar proportions of garnet end members into it and obtain the discrimination result.
First‐principles Study on Equilibrium Sn Isotope Fractionations in Hydrothermal Fluids
Authors: SUN Mingguang , MATHUR Ryan , CHEN Yanjing , YUAN Shunda , WANG Jiaxin 
Published: March 2022

AbstractTin (Sn) isotope geochemistry has great potential in tracing geological processes. However, lack of equilibrium Sn isotope fractionation factors of various Sn species limits the development of Sn isotope geochemistry. Equilibrium Sn isotope fractionation factors (124Sn/116Sn and 122Sn/116Sn) among various Sn(II, IV) complexes in aqueous solution were calculated using first‐principles calculations. The results show that the oxidation states and the change of Sn(II, IV) species in hydrothermal fluids are the main factors leading to tin isotope fractionation in hydrothermal systems. For the Sn(IV) complexes, Sn isotope fractionation factors depend on the number of H2O molecules. For the Sn(II) complexes, the Sn isotope fractionation between Sn(II)–F, Sn(II)–Cl and Sn(II)–OH complexes is mainly affected by the bond length and the coordination number of anion, whereas the difference in 1000lnβ values of Sn(II)–SO4 and Sn(II)–CO3 complexes is insignificant with the change of anion coordination number. By comparing the 1000lnβ values of all Sn(II, IV) complexes, the enrichment trend in heavy Sn isotopes is Sn(IV) complexes > Sn(II) complexes. The equilibrium Sn isotopic fractionation factors enhance our understanding of the tin transportation and enrichment processes in hydrothermal systems.
Population‐level impact of initiating pharmacotherapy and linking to care people with opioid use disorder at inpatient medically managed withdrawal programs: an effectiveness and cost‐effectiveness analysis
Authors: Savinkina Alexandra , Madushani Rajapaksha W.M.A. , Eftekhari Yazdi Golnaz , Wang Jianing , Barocas Joshua A. , Morgan Jake R. , Assoumou Sabrina A. , Walley Alexander Y. , Linas Benjamin P. , Murphy Sean M. 
Published: March 2022

AbstractBackground and AimsMedications for opioid use disorder (MOUD) are shown to reduce opioid use and the risk of overdose. People with opioid use disorder (OUD) who exit inpatient medically managed withdrawal programs (detox) without initiating MOUD and linking to outpatient care have high rates of overdose. While detox encounters provide a theoretical opportunity for MOUD initiation, this is not ubiquitous in the United States. We used simulation modeling to estimate the population‐level health effects and cost‐effectiveness of a policy encouraging MOUD initiation during inpatient detox encounters.Design, Setting and ParticipantsWe employed a dynamic population state‐transition model to evaluate the effectiveness and cost‐effectiveness of using detox programs as venues for initiating MOUD in Massachusetts, United States. We compared standard of care, where no detox patients initiate MOUD or link to outpatient MOUD providers, to strategies of offering MOUD to detox patients and linking those patients to outpatient MOUD.MeasuresBudgetary impact to the Massachusetts health‐care sector, incremental cost‐effectiveness ratios (ICER) and total counts and percentage differences of fatal overdoses prevented.FindingsInitiating MOUD in detox with perfect linkage to outpatient MOUD would reduce fatal overdoses by 4.5% [95% confidence interval (CI) = 2.3–5.9], at an ICER of $56 000 per quality‐adjusted life‐year (QALY) gained, compared with the standard of care. With moderate linkage, fatal overdoses would be reduced by 2.3% (95% CI= 1.2–3.1) with an ICER of $78 500 per QALY gained, compared with standard of care. Budgetary increase to Massachusetts health‐care spending ranged from 0.5–1%.ConclusionA simulation model indicates that initiation of medications for opioid use disorder and linkage policies among detox patients in Massachusetts, USA could prevent fatal opioid overdoses in the opioid use disorder population and would be cost‐effective from a health‐care sector perspective.