bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prostaglandin receptor EP2 is a novel molecular target for high-risk neuroblastoma
Authors: Hou Ruida , Yu Ying , Nguyen Davis T. , Sluter Madison N. , Li Lexiao , Yang Jun , Jiang Jianxiong 
Published: February 2020

ABSTRACTAs the third-most common type of cancers in infants and young children, neuroblastoma accounts for nearly 10% of all childhood cancers. Despite remarkable advances in tumor diagnosis and management during the past decades, the five-year survival rates for patients with high-risk neuroblastoma remain below 50%. Developing new therapies for this devastating type of childhood cancer is an urgent unmet need. Cyclooxygenase (COX) via synthesizing prostaglandin E2 (PGE2) promotes tumor cell proliferation, survival, migration and invasion, and fosters an inflammation-enriched microenvironment that can facilitate angiogenesis, immune evasion and treatment resistance. However, which downstream PGE2receptor subtype – namely EP1, EP2, EP3 and EP4 – is directly involved in COX activity-promoted neuroblastoma growth remains elusive. Analyzing five major neuroblastoma patient datasets: Versteeg-88, Kocak-649, SEQC-498, Primary NRC-283, and Oberthuer-251, we show that COX-1/PGE2/EP2 signaling axis is highly associated with the aggressiveness of human neuroblastoma. A time-resolved fluorescence resonance energy transfer (TR-FRET) method reveals EP2 as the key Gαs-coupled receptor that mediates PGE2-initiated cAMP signaling in neuroblastoma cells with various risk factors. Taking advantage of novel, selective and bioavailable small-molecule antagonists that we recently developed to target the PGE2/EP2 signalingin vivo, we have demonstrated that pharmacological inhibition of the peripheral EP2 receptor substantially impairs the growth of human neuroblastoma xenografts and the associated angiogenesis in mice. Collectively, our results suggest that the PGE2/EP2 pathway contributes to the growth and malignant potential of human neuroblastoma cells; pharmacological inhibition on EP2 receptor by our drug-like compounds might provide a novel therapeutic strategy for this deadly pediatric cancer.
Phytochemical Screening and Antimicrobial Activity ofZiziphus spina-christiStem Barks
Authors: Makhawi Abdelrafie M. , Mustafa Mujahed I. , Uagoub Hajer A. 
Published: February 2020

AbstractThis study was carried out in Khartoum State, during December 2017 The plant of Ziziphusspina-christibelong to family Rhamnaceae and locally known as Cedar, it was chosen for this study because of its using traditionally in treatment of many diseases. Microwave-assisted extraction (MAE) approach had been used to the dried sample at 170°C to reduce both time and extraction solvent volume, and to decrease the damage of bioactive compounds without extending the period of extraction. 20 g of sample was soaked with Petroleum ether, Ethyl-acetate, ethanol, methanol and distilled water for 72 hour. The extracts were concentrated using rotary evaporator at 40°C and were stored at 4°C. The phytochemical screening were carried out on different extracts ofZiziphus spina-christistem bark and they showed to contain high amount of Tannins (4+ in all extracts), moderate amount of flavonoids and Triterpenes, trace amount of coumarins and Alkaloids and high amount of Saponins, Anthraquinones and Cardiac glycosides. The antimicrobial activity of extracts were evaluated against four standard bacteria species (gram positive;Bacillus subtilis, Staphylococcus aureus) and (gram negative;Escherichia coli, Pseudomonas aeruginosa; in addition of one standard fungi (Candida albicans). The results of antimicrobial tests indicated that the methanolic extract inhibited the growth of all microorganisms and most extracts showed several points of antimicrobial activity. These findings act as platform to assist in cure of bacterial and fungal infections.
miR169 andPmRGL2synergistically regulate NF-Y complex to active dormancy release in Japanese apricot (Prunus mumeSieb. et Zucc.)
Authors: Jie Gao , Xiaopeng Ni , Hantao Li , Make Faisal Hayat , Ting Shi , Zhihong Gao 
Published: February 2020

AbstractInsufficient chilling requirements affect the floral bud quality and fruit yield in fruit crop production. Endodormancy is a process to meet the chilling requirement. To understand the mechanism of dormancy release in woody plants, we compared the miRNA database during the transition stage from endodormancy to dormancy release in Japanese apricot and found that the miR169 family showed significant differentially up-regulated expression during dormancy and down-regulated during dormancy release periods. The 5’ RACE assay and RT-qPCR validated its target gene NUCLEAR FACTOR-Y subunit A (NF-YA) exhibited the opposite expression pattern. Further study showed that exogenous GA4could inhibit the expression ofPmRGL2and promote the expression ofNF-Y. Moreover, the interaction between NF-Y family and GA inhibitorPmRGL2was verified by yeast-two-hybrid system and Bimolecular fluorescence complementarity (BiFC) experiment. These results suggested that synergistic regulation of NF-Y andPmRGL2complex to active dormancy release induced by GA4.These will help to elucidate the functional and regulatory roles of miR169 and its target gene of the seasonal bud dormancy induced by GA4in Japanese apricot woody plants and to provide new sights for the discovery of dormancy release mechanism.
Light microscopy based approach for mapping connectivity with molecular specificity
Authors: Shen Fred Y. , Harrington Margaret M. , Walker Logan A. , Jimmy Cheng Hon Pong , Boyden Edward S. , Cai Dawen 
Published: February 2020

AbstractMapping neuroanatomy is a foundational goal towards understanding brain function. Electron microscopy (EM) has been the gold standard for connectivity analysis because nanoscale resolution is necessary to unambiguously resolve chemical and electrical synapses. However, molecular information that specifies cell types is often lost in EM reconstructions. To address this, we devised a light microscopy approach for connectivity analysis of defined cell types called spectral connectomics. We combined multicolor genetic labeling (Brainbow) of neurons with amulti-roundimmunostainingExpansion Microscopy (miriEx) strategy to simultaneously interrogate morphology, molecular markers, and connectivity in the same brain section. We applied our multimodal profiling strategy to directly link inhibitory neuron cell types with their network morphologies. Furthermore, we showed that correlative Brainbow and endogenous synaptic machinery immunostaining can be used to define putative synaptic connections between spectrally unique neurons, as well as map putative inhibitory and excitatory inputs. We envision that spectral connectomics can be applied routinely in neurobiology labs to gain insights into normal and pathophysiological neuroanatomy across multiple animals and time points.
Food choice in the e-commerce era
Authors: Wang Ou , Somogyi Simon , Charlebois Sylvain 
Published: February 2020

PurposeThis study associated consumers' food choice motives and socio-demographic characteristics with their attitudes and consumptions towards food shopping with four e-commerce modes: business-to-consumer (B2C), online-to-offline delivery (O2O Delivery), online-to-offline in-store (O2O In-store) and New Retail. It also explored consumer preferences for specific food categories within the four e-commerce modes.Design/methodology/approachAn online survey was administered to 954 participants from three Chinese cities: Beijing, Shanghai and Shenzhen. Descriptive analysis and linear regression were used in the data analysis.FindingsThe following food choice motives (FCMs) and socio-demographic characteristics had a significant effect on food e-commerce attitudes and/or consumption, with some or all of the four e-commerce modes: Taste Appeal, Value for Money, Safety Concerns, Quality Concerns, Processed Convenience, Purchase Convenience, Others' Reviews, City, Gender, Household Size, Age, Income, Occupation and Marital Status. Consumers also have different consumption preferences for food categories in the four e-commerce modes.Originality/valueThis is the first study to associate consumer FCMs and socio-demographics with their e-commerce attitudes and consumption regarding food in four e-commerce modes: B2C, O2O Delivery, O2O In-store and New Retail.
Indonesian Millennials’ Halal food purchasing: merely a habit?
Authors: Amalia Fatya Alty , Sosianika Adila , Suhartanto Dwi 
Published: February 2020

PurposeTo investigate the determinants of Muslim Millennials’ purchasing behavior of Halal food in a Muslim-majority country under the reflective and reflexive systems.Design/methodology/approachThrough 339 responds collected from the survey, this study uses 319 responds from Muslim Millennial consumers in Indonesia for further analysis. Data analysis is conducted using a partial least square (PLS) to verify the relationships between the variables herein.FindingsThough purchasing Halal food is familiar to Muslim Millennial consumers in a religious society, this study demonstrated that purchase intention and habit can independently affect their purchasing behavior. In forming the purchase intention, attitude, subjective norms, perceived behavioral control, and religiosity are all necessary determinants on this phenomenon.Practical implicationsThis study enlightens the food providers to continuously intervene in the purchase intention of Muslim Millennials as a consumer group as purchasing of Halal food is also a matter of habit for such consumers in the religious community. To strengthen Muslim Millennials’ purchase intention of Halal food, governments should harmonize their actions with the various stakeholders involved in this purchase intention.Originality/valueThis study focuses on the Muslim Millennial consumer group regarding their Halal food purchasing behavior by integrating two behavioral theories (theory of planned behavior and theory of interpersonal behavior) to obtain a more comprehensive explanation of their purchasing behavior.
Identification and analysis of handovers in organisations using process model repositories
Authors: Leyer Michael , Iren Deniz , Aysolmaz Banu 
Published: February 2020

PurposeIdentifying handovers is an important but difficult to achieve goal for companies as handovers have advantages allowing for specialisation in processes as well as disadvantages by creating erroneous interfaces.Design/methodology/approachConceptualisation of a method based on theory and evaluation with company data using a process model repository.FindingsThe method allows to evaluate handovers from the perspective of roles in processes and grouping of employees in organisational units. It uses existing process model repositories connected with organisational chart information in companies to determine the density of handovers. The method is successfully evaluated using the example of a major telecommunications company with 1,010 process models in its repository.Practical implicationsCompanies can determine on various levels, up to the overall organisational level, in which parts of the company efforts are best spent to manage handovers in an optimal way.Originality/valueThis paper is first in showing how handovers can be conceptualised and identified with a large-scale method.
What factors affect Chinese consumers’ online grocery shopping? Product attributes, e-vendor characteristics and consumer perceptions
Authors: Zheng Qiujie , Chen Junhong , Zhang Robin , Wang H. Holly 
Published: February 2020

PurposeIn this paper, we provide a simple conceptual framework with empirical analysis to investigate the effect of product attributes and e-vendor characteristics that are potentially included in the online shopper’s information search on their online shopping behavior in China.Design/methodology/approachThis paper examines consumers’ online shopping frequency for food/grocery using an ordered logit model and for fresh food (a subcategory of food/grocery) using a two-part model, considering product attributes, e-vendor characteristics, and consumer perceptions and characteristics.FindingsThe results show that product origin is an influencing factor in shopping for fresh food online, reflecting consumers’ growing interests in imported food or specialty food from other areas. Consumers are more likely to shop online for fresh food if they perceive online shopping as having a price advantage. But consumers who view price as a top factor are less likely to buy fresh food online frequently. Thus competitive prices might be a motive for online fresh food shopping, but consumers concerned about price do not necessarily shop frequently. Negative perceptions of product freshness reduce consumers’ likelihood and frequency of shopping for fresh food online. Concerns on food quality and e-vendors’ credibility prevent consumers from frequently shopping for fresh food online. Social and demographic characteristics also influence consumers’ decisions.Originality/valueThis paper provides a better understanding of consumer’s online grocery shopping preferences and sheds light on policy and regulation design and implementation in the e-commerce industry, which will ultimately protect and benefit consumers.
Making sense of text: artificial intelligence-enabled content analysis
Authors: Lee Linda W. , Dabirian Amir , McCarthy Ian P. , Kietzmann Jan 
Published: February 2020

Purpose
The purpose of this paper is to introduce, apply and compare how artificial intelligence (AI), and specifically the IBM Watson system, can be used for content analysis in marketing research relative to manual and computer-aided (non-AI) approaches to content analysis.

Design/methodology/approach
To illustrate the use of AI-enabled content analysis, this paper examines the text of leadership speeches, content related to organizational brand. The process and results of using AI are compared to manual and computer-aided approaches by using three performance factors for content analysis: reliability, validity and efficiency.

Findings
Relative to manual and computer-aided approaches, AI-enabled content analysis provides clear advantages with high reliability, high validity and moderate efficiency.

Research limitations/implications
This paper offers three contributions. First, it highlights the continued importance of the content analysis research method, particularly with the explosive growth of natural language-based user-generated content. Second, it provides a road map of how to use AI-enabled content analysis. Third, it applies and compares AI-enabled content analysis to manual and computer-aided, using leadership speeches.

Practical implications
For each of the three approaches, nine steps are outlined and described to allow for replicability of this study. The advantages and disadvantages of using AI for content analysis are discussed. Together these are intended to motivate and guide researchers to apply and develop AI-enabled content analysis for research in marketing and other disciplines.

Originality/value
To the best of the authors’ knowledge, this paper is among the first to introduce, apply and compare how AI can be used for content analysis.
Factors in the acquisition of ethical training
Authors: Rodriguez Gomez Sara , Lopez Perez María Victoria , Garde Sánchez Raquel , Rodríguez Ariza Lázaro 
Published: February 2020

PurposeSociety in general demands ethical behaviour in the business world. The research aim of the paper is to analyse whether higher education institutions of business contribute to ethical decision-making in students through a specific training approach based on practical methodologies that take into account students' personal characteristics, which may affect ethical decision-making. The acquisition of knowledge should be more effective when it is based on personal characteristics.Design/methodology/approachCase method, discussion and self-learning methodology were used, and at the end of the term, the students were evaluated and asked to complete a 48 closed-question questionnaire. A linear regression model is performed to analyse to what extent the results are associated to the variables proposed.FindingsThe results show that knowledge is an explanatory variable, but personal characteristics such as gender or empathy reinforce the learning. Gender difference affects the ethical decisions made and empathy, showing that training based on emotions is effective. Besides, the results show that students integrate family influence in their training process.Research limitations/implicationsIn this paper, the authors have selected empathy, gender and instruction. They have taken into account the incidence of age and family education. In addition, other contextual factors can have an incidence on training and the model could be improved.Practical implicationsThe results show that it is necessary to take into account the students' personal characteristics and select an appropriate training methodology to teach ethics and obtain success.Social implicationsThe students graduating from these courses will be future managers and entrepreneurs and will make decisions in which ethical questions must be taken into account, hence the need for training in this respect.Originality/valueThe teaching of business ethics in business faculties is not an easy subject. It is necessary to select the approach of ethic and an effective methodology to achieve the learning objective. This learning methodology must take into account students' characteristics to be effective. The business students are future managers and entrepreneurs who will make decisions in which ethical questions must be considered, hence the need for training in this respect.
Enrolment scenario of LIS education in India through distance mode: a study
Authors: Gupta Jyotsna , Singh Shivendra , Pandita Ramesh , Bhat Suneel Kumar 
Published: February 2020

Purpose
This study aims to assess the enrolment scenario of Library and Information Science (LIS) education in India offered through distance mode.

Design/methodology/approach
The scope of the study is limited to India, reflecting the trend of distance education in LIS in India. The study is based on the secondary data collected by the Ministry of Human Resource and Development, Government of India (GOI) under All India Survey on Higher Education (AISHE). It is to mention that Ministry of Human Resource and Development, GOI, is regularly collecting data from higher education institutions all across the country under AISHE project. The data in the study have been analysed for the period 2011 to 2018.

Findings
The findings of the study reveal that, of the total enrolments made in LIS education in India during the period 2011 to 2018, nearly one-fourth of students were enrolled through regular mode and three-fourth were enrolled through distance mode, signifying distance mode of education as the largest medium of LIS education in India. The enrolment figures through distance mode showed slight inconsistency with the result, a negative (−0.49%) average annual corresponding growth was recorded in the enrolment of LIS students through distance mode. Of the total students enrolled in different LIS programmes through distance mode during the period of study, the majority (67.78%) of students were enrolled in the Under Graduate programme (B.Lib.I.Sc.). Similarly, of the total students enrolled in LIS through distance mode during the period of study, 51.36% were female students and 48.63% male students. In terms of caste category, of the total students enrolled during the period of study, 10.12% belonged to the Scheduled Caste category, 4.7% to Scheduled Tribes category, 28.77% Other Backward Class and 56.08% to others, which include general category students as well.

Research limitations/implications
Learning through distance education is a welcome step as long as the idea is to improve the society and to reach out to those who hitherto remained unreached. Sustainable means of enrolment and employability has to be the order of the day, mostly based on demand and supply principle.

Originality/value
This study is original and first of its kind covering enrolment of the students in LIS courses.
Student’s entrepreneurial orientation and intentions
Authors: Kumar Sumit , Paray Zahoor Ahmad , Dwivedi Amit Kumar 
Published: February 2020

PurposeThis study is aimed to measure and understand the relationship between individual entrepreneurial orientation (IEO) and entrepreneurial intention (EI) among students of higher learning institutions (HLI’s) in India. This study is focused on understanding IEO dimension of proactiveness, innovativeness and risk-taking attitude and EI across gender, academic background, and regions. Many recent and past studies confirm that there is an apparent gap in the literature to understand this phenomenon among students of higher learning institutions.Design/methodology/approachThe study is based on a sample of 393 students studying in 35 different universities and institutions in the North, South and Western regions of India. The data were analyzed using hierarchical regression and ANOVA.FindingsThe empirical result shows a relationship and a positive impact of individual entrepreneurial orientation dimensions upon entrepreneurial intentions. Controlling for gender, males depict higher perseverance toward individual entrepreneurial orientation and entrepreneurial intentions. The same result was found for management and entrepreneurship students who also depict a higher (mean)t-value than science, engineering students. The findings of this study reveal a significant contribution to the academic literature by highlighting the influencing role of gender, academic background, and region upon entrepreneurial intentions.Practical implicationsThe study reveals that institutional culture, lack of academic rigor, regional difference, economic gaps, gender perception, and overall culture may be considered as bothering forces for entrepreneurship to grow via institutions. These forces, if eliminated, can help build an institutional environment helpful for entrepreneurial progression in the country.Originality/valueThere are limited studies available in the context of individual entrepreneurial orientation and entrepreneurial Intention relationship. This study provides the analysis for Indian regions and uses data collected from different universities and institutions of India.