bluuebunny/crossref_metadata_2025_split huggingface dataset:
Thermogenetic control of Ca2+levels in cells and tissues
Authors: Ermakova Yulia G. , Waadt Rainer , Ozturk Mehmet S. , Roshchin Matvey , Lanin Aleksandr A. , Chebotarev Artem , Pochechuev Matvey , Pak Valeriy , Kelmanson Ilya , Smolyarova Daria , Keutler Kaya , Matyushenko Alexander M. , Tischer Christian , Balaban Pavel M. , Nikitin Evgeniy S. , Schumacher Karin , Zheltikov Aleksei M. , Prevedel Robert , Schultz Carsten , Belousov Vsevolod V. 
Published: March 2023

ABSTRACTVirtually all major processes in cells and tissues are regulated by calcium ions (Ca2+). Understanding the influence of Ca2+on cell function requires technologies that allow for non-invasive manipulation of intracellular calcium levels including the formation of calcium patterns, ideally in a way that is expandable to intact organisms. The currently existing tools for optical and optogenetic Ca2+manipulation are limited with respect to response time, and tissue penetration depth. Here we presentGeneticallyEncodedCalciumController (GECCO), a system for thermogenetic Ca2+manipulation based on snake TRP channels optically controlled by infrared illumination. GECCO is functional in animal and plant cells and allows studying how cells decode different profiles of Ca2+signals. GECCO enabled the shaping of insulin release from β-cells, the identification of drugs that potentiate Ca2+-induced insulin release, and the generation of synthetic Ca2+signatures in plants.
Assessing vaccine-mediated protection in an ultra-low doseMycobacterium tuberculosismurine model
Authors: Plumlee C.R. , Barrett H.W. , Shao D.E. , Lien K.A. , Cross L.M. , Cohen S.B. , Edlefsen P.T , Urdahl K.B. 
Published: March 2023

ABSTRACTDespite widespread immunization with Bacille-Calmette-Guerin (BCG), the only currently licensed tuberculosis (TB) vaccine, TB remains a leading cause of mortality globally. There are many TB vaccine candidates in the developmental pipeline, but the lack of a robust animal model to assess vaccine efficacy has hindered our ability to prioritize candidates for human clinical trials. Here we use a murine ultra-low dose (ULD)Mycobacterium tuberculosis(Mtb) challenge model to assess protection conferred by BCG vaccination.We show that BCG confers a reduction in lung bacterial burdens that is more durable than that observed after conventional dose challenge, curbs Mtb dissemination to the contralateral lung, and, in a small percentage of mice, prevents detectable infection.These findings are consistent with the ability of human BCG vaccination to mediate protection, particularly against disseminated disease, in specific human populations and clinical settings. Overall, our findings demonstrate that the ultra-low dose Mtb infection model can measure distinct parameters of immune protection that cannot be assessed in conventional dose murine infection models and could provide an improved platform for TB vaccine testing.
Artificial selection footprints in domestic chicken genomes
Authors: Wu Siwen , Dou Tengfei , Wang Kun , Yuan Sisi , Yan Shixiong , Xu Zhiqiang , Liu Yong , Jian Zonghui , Zhao Jingying , Zhao Rouhan , Wu Hao , Gu Dahai , Liu Lixian , Li Qihua , Wu Dong-Dong , Su Zhengchang , Ge Changrong , Jia Junjing 
Published: March 2023

AbstractAccurate and low-cost next generation sequencing technologies make re-sequencing of large populations of a species possible. Although many studies related to artificial selection signatures of commercial and indigenous chickens have been carried out, quite a small number of genes have been found to be under selection. In this study, we re-sequenced 85 individuals of five indigenous chicken breeds with distinct traits from Yunnan, a southwest province of China. By analyzing these indigenous chickens together with 116 individuals of commercial chickens (broilers and layers) and 35 individuals of red jungle fowl, we find a substantially large number of selective sweeps and affected genes for each chicken breed using a rigorous statistic model than previously reported. We confirm most of previously identified selective sweeps and affected genes. Meanwhile the vast majority (∼98.3%) of our identified selective sweeps overlap known chicken quantitative trait loci. Thus, our predictions are highly reliable. For each breed, we also identify candidate genes and selective sweeps that might be related to the unique traits of the chickens.
PARP inhibition and pharmacological ascorbate demonstrate synergy in castration-resistant prostate cancer
Authors: Gordon Nicolas , Gallagher Peter T. , Neupane Neermala Poudel , Mandigo Amy C. , McCann Jennifer K. , Dylgjeri Emanuela , Vasilevskaya Irina , McNair Christopher , Paller Channing J. , Kelly Wm. Kevin , Knudsen Karen E. , Shafi Ayesha A. , Schiewer Matthew J. 
Published: March 2023

AbstractProstate cancer (PCa) is the second leading cause of cancer death for men in the United States. While organ-confined disease has reasonable expectation of cure, metastatic PCa is universally fatal upon recurrence during hormone therapy, a stage termed castration-resistant prostate cancer (CRPC). Until such time as molecularly defined subtypes can be identified and targeted using precision medicine, it is necessary to investigate new therapies that may apply to the CRPC population as a whole.The administration of ascorbate, more commonly known as ascorbic acid or Vitamin C, has proved lethal to and highly selective for a variety of cancer cell types. There are several mechanisms currently under investigation to explain how ascorbate exerts anti-cancer effects. A simplified model depicts ascorbate as a pro-drug for reactive oxygen species (ROS), which accumulate intracellularly and generate DNA damage. It was therefore hypothesized that poly(ADP-ribose) polymerase (PARP) inhibitors, by inhibiting DNA damage repair, would augment the toxicity of ascorbate.ResultsTwo distinct CRPC models were found to be sensitive to physiologically relevant doses of ascorbate. Moreover, additional studies indicate that ascorbate inhibits CRPC growthin vitrovia multiple mechanisms including disruption of cellular energy dynamics and accumulation of DNA damage. Combination studies were performed in CRPC models with ascorbate in conjunction with escalating doses of three different PARP inhibitors (niraparib, olaparib, and talazoparib). The addition of ascorbate augmented the toxicity of all three PARP inhibitors and proved synergistic with olaparib in both CRPC models. Finally, the combination of olaparib and ascorbate was testedin vivoin both castrated and non-castrated models. In both cohorts, the combination treatment significantly delayed tumor growth compared to monotherapy or untreated control.ConclusionsThese data indicate that pharmacological ascorbate is an effective monotherapy at physiological concentrations and kills CRPC cells. Ascorbate-induced tumor cell death was associated with disruption of cellular energy dynamics and accumulation of DNA damage. The addition of PARP inhibition increased the extent of DNA damage and proved effective at slowing CRPC growth bothin vitroandin vivo. These findings nominate ascorbate and PARPi as a novel therapeutic regimen that has the potential to improve CRPC patient outcomes.
Novel setup for rapid phase contrast CT imaging of heavy and bulky specimens
Authors: Dullin Christian , D'Amico Lorenzo , Saccomano Giulia , Longo Elena , Wagner Willi L. , Reiser Johanna , Svetlove Angelika , Albers Jonas , Contillo Adriano , Abrami Alessandro , Sturari Luca , Tromba Giuliana , Sodini Nicola , Dreossi Diego 
Published: March 2023

This work introduces a novel setup for computed tomography of heavy and bulky specimens at the SYRMEP beamline of the Italian synchrotron Elettra. All the key features of the setup are described and the first application to off-center computed tomography scanning of a human chest phantom (approximately 45 kg) as well as the first results for vertical helical acquisitions are discussed.
Systematic process for crop insurance development: area-yield rice insurance with machine learning technology implementation in Thailand
Authors: Sethanand Krish , Chaiyawat Thitivadee , Gowanit Chupun 
Published: March 2023

PurposeThis paper presents the systematic process framework to develop the suitable crop insurance for each agriculture farming region which has individual differences of associated crop, climate condition, including applicable technology to be implemented in crop insurance practice. This paper also studies the adoption of new insurance scheme to assess the willingness to join crop insurance program.Design/methodology/approachCrop insurance development has been performed through IDDI conceptual framework to illustrate the specific crop insurance diagram. Area-yield insurance as a type of index-based insurance advantages on reducing basis risk, adverse selection and moral hazard. This paper therefore aims to develop area-yield crop insurance, at a provincial level, focusing on rice insurance scheme for the protection of flood. The diagram demonstrates the structure of area-yield rice insurance associates with selected machine learning algorithm to evaluate indemnity payment and premium assessment applicable for Jasmine 105 rice farming in Ubon Ratchathani province. Technology acceptance model (TAM) is used for new insurance adoption testing.FindingsThe framework produces the visibly informative structure of crop insurance. Random Forest is the algorithm that gives high accuracy for specific collected data for rice farming in Ubon Ratchathani province to evaluate the rice production to calculate an indemnity payment. TAM shows that the level of adoption is high.Originality/valueThis paper originates the framework to generate the viable crop insurance that suitable to individual farming and contributes the idea of technology implementation in the new service of crop insurance scheme.
Brand awareness and relationship intention: the moderating role of perceived corporate social responsibility dimensions
Authors: Hasudungan Albert , Saragih Harriman Samuel 
Published: March 2023

PurposeUsing a hierarchical component model conceptualization, this study aims to investigate the moderating role of perceived corporate social responsibility (CSR) dimensions (i.e., economic, environmental and social) on the impact of brand awareness towards consumer relationship intention.Design/methodology/approachThis study used a two-stage disjoint approach of partial least squares structural equation modeling using data from 325 respondents based in a Southeast Asian region. The case of ecolabel brands was chosen as the context of the investigation.FindingsThe results suggest that brand awareness and perceived CSR dimensions positively impact consumer relationship intention. It was also observed that perceived CSR dimensions moderate the relationship between brand awareness and relationship intention. Consumers with more favorable sentiments of economic, environmental and social dimensions as reflected by the firms' CSR programs exhibit a higher degree of relationship intention.Research limitations/implicationsUsing the stakeholder theory as well as the brand value chain framework, this study adds to the literature regarding the significance of perceived CSR dimensions to better build and maintain relationships with the targeted customers of an environmentally friendly product. CSR strategies should be emphasized for relevant companies in terms of the economic, environmental and social aspects. According to this research, customer views about the three CSR initiative characteristics may act as a moderator in the interactions between consumer awareness and relationship intention.Practical implicationsCSR may be utilized in addition to traditional marketing communication to represent the firm's unique value proposition in the market. It is vital to create a CSR program that combines economic, environmental and social factors. Firms may collaborate with various stakeholders to ensure that their CSR initiatives include three elements.Originality/valueThis study adds to the literature on the moderating role of perceived CSR dimensions on the relationship of consumer brand awareness and relationship intention using the theoretical lens of the stakeholder theory and the brand value chain.
Tackling organizational wicked problems: a heuristics study based on a qualitative comparative analysis approach
Authors: Wang Xuan , Xiao Mimi , Jia Liangding 
Published: March 2023

Purpose
Organizational wicked problems are ill-defined phenomena arising in complex environments with intertwined and evolving interests. This paper aims to use a nonlinear epistemological approach to explore how multiple management decision tools work together to form configurational paths to deal with organizational wicked problems and to propose some heuristic toolkits for tackling them.

Design/methodology/approach
Based on interviews with 53 senior executives dealing with 62 organizational wicked problems, this paper uses grounded theory to construct an antecedent theoretical framework and then uses qualitative comparative analysis (QCA) to conduct configuration analysis on the strategy portfolios that can tackle organizational wicked problems.

Findings
This paper used grounded theory to identify six theoretical dimensions as management decision tools for dealing with organizational wicked problems: change adaptation, goal performing, administration, mechanical integration, organic integration and entrepreneuring. In addition, this paper used QCA to explore and propose three heuristic toolkits – synergy oriented, institution oriented and innovation oriented – as multiple equivalent paths to help deal with organizational wicked problems.

Originality/value
This paper uses configuration analysis instead of the net effect analysis of the traditional econometric method and captures multiple antecedent conditions for decision-makers to deal with organizational wicked problems from a holistic perspective. This paper constructs three heuristic toolkits and matches each of them with the most suitable type of organizational wicked problem, constructing a complete research chain of “identifying–tackling” the organizational wicked problem and providing a reference for organizations facing similar situations in future practice.
Marketing or methodology? Exposing the fallacies of PLS with simple demonstrations
Authors: Rönkkö Mikko , Lee Nick , Evermann Joerg , McIntosh Cameron , Antonakis John 
Published: March 2023

Purpose
Over the past 20 years, partial least squares (PLS) has become a popular method in marketing research. At the same time, several methodological studies have demonstrated problems with the technique but have had little impact on its use in marketing research practice. This study aims to present some of these criticisms in a reader-friendly way for non-methodologists.

Design/methodology/approach
Key critiques of PLS are summarized and demonstrated using existing data sets in easily replicated ways. Recommendations are made for assessing whether PLS is a useful method for a given research problem.

Findings
PLS is fundamentally just a way of constructing scale scores for regression. PLS provides no clear benefits for marketing researchers and has disadvantages that are features of the original design and cannot be solved within the PLS framework itself. Unweighted sums of item scores provide a more robust way of creating scale scores.

Research limitations/implications
The findings strongly suggest that researchers abandon the use of PLS in typical marketing studies.

Practical implications
This paper provides concrete examples and techniques to practicing marketing and social science researchers regarding how to incorporate composites into their work, and how to make decisions regarding such.

Originality/value
This work presents a novel perspective on PLS critiques by showing how researchers can use their own data to assess whether PLS (or another composite method) can provide any advantage over simple sum scores. A composite equivalence index is introduced for this purpose.
Gifts to whom? Towards a network view of gift receivers
Authors: Branco-Illodo Ines , Heath Teresa , Tynan Caroline 
Published: March 2023

Purpose
This research paper aims to understand how givers characterise and manage their gift giving networks by drawing on attachment theory (AT). This responds to the need to illuminate the givers–receivers’ networks beyond traditional role-based taxonomies and explore their changing dynamics.

Design/methodology/approach
A multi-method, qualitative approach was used involving 158 gift experiences captured in online diaries and 27 follow-up interviews.

Findings
Results show that givers organise receivers into gifting networks that are grounded in a contextual understanding of their relationships. The identification of direct, surrogate and mediated bonds reflects three different dimensions that inform gift-giving networks of support, care or belongingness rooted in AT. The relative position of gift receivers in this network influences the nature of support, the type of social influences and relationship stability in the network.

Research limitations/implications
This study illustrates the complexity of relationships based on the data collected over two specific periods of time; thus, there might be further types of receivers within a giver’s network that the data did not capture. This limitation was minimised by asking about other possible receivers in interviews.

Practical implications
The findings set a foundation for gift retailers to assist gift givers in finding gifts that match their perceived relations to the receivers by adapting communication messages and offering advice aligned with specific relationship contexts.

Originality/value
This study illuminates gift-giving networks by proposing a taxonomy of gifting networks underpinned by AT that can be applied to study different relationship contexts from the perspective of the giver. This conceptualisation captures different levels of emotional support, social influences and relationship stability, which have an impact on the receivers’ roles within the giver’s network. Importantly, results reveal that the gift receiver is not always the target of gift-giving. The target can be someone whom the giver wants to please or an acquaintance they share with the receiver with whom they wish to reinforce bonds.
Research and evidence-based standards paving the way for a digital and sustainable transformation of the built environment
Authors: Klungseth Nora Johanne , Nielsen Susanne Balslev , Alves da Graça Moacyr Eduardo , Lavy Sarel 
Published: March 2023

PurposeResearchers and standardisation bodies are key to accelerating societal transition and contributing to society’s demands for sustainability, resilience and digitalisation. Standards are the agreed-upon best practices published by national or international bodies and are key enablers of transformation. Scholars have not yet identified a relationship between standards and facilities management (FM) research. The purpose of this paper is to investigate the role of formal standards in FM research.Design/methodology/approachA literature review was conducted to identify journal articles addressing standards and FM. A total of 198 journal articles published from 2010 to 2021 were identified. After screening these articles, 27 journal articles were considered the most relevant for data analysis.FindingsThe findings show that the role of standards in research can be analysed thematically, categorically, textually, methodologically and directionally. Standards are relevant to research by defining terms, creating backgrounds, guiding research, supporting the development of new standards and encouraging more collaboration between research and standardisation. Some studies have shown how standards influence research, but only a few have explored how research influences standards.Research limitations/implicationsThis research provides examples that inspire stronger collaboration between people and processes in research and standardisation.Originality/valueThe articles collected and analysed in this study comprise original research. A limited preliminary study of ten core articles was presented at the International Council for Research and Innovation in Building and Construction World Congress 2022. This presentation of this work provides an expanded framework for analysing the roles of standards in research. This framework includes (1) categorical analysis of research and standardisation streams; (2) thematic analysis of the topic of interest; (3) textual analysis of the use of the term “standard”; (4) methodological analysis of the influence of standards on the research method; and (5) directional analysis of the intended audience.
Research on the mechanical fault diagnosis method based on sound signal and IEMD-DDCNN
Authors: Pu Haoning , Wen Zhan , Sun Xiulan , Han Lemei , Na Yanhe , Liu Hantao , Li Wenzao 
Published: March 2023

PurposeThe purpose of this paper is to provide a shorter time cost, high-accuracy fault diagnosis method for water pumps. Water pumps are widely used in industrial equipment and their fault diagnosis is gaining increasing attention. Considering the time-consuming empirical mode decomposition (EMD) method and the more efficient classification provided by the convolutional neural network (CNN) method, a novel classification method based on incomplete empirical mode decomposition (IEMD) and dual-input dual-channel convolutional neural network (DDCNN) composite data is proposed and applied to the fault diagnosis of water pumps.Design/methodology/approachThis paper proposes a data preprocessing method using IEMD combined with mel-frequency cepstrum coefficient (MFCC) and a neural network model of DDCNN. First, the sound signal is decomposed by IEMD to get numerous intrinsic mode functions (IMFs) and a residual (RES). Several IMFs and one RES are then extracted by MFCC features. Ultimately, the obtained features are split into two channels (IMFs one channel; RES one channel) and input into DDCNN.FindingsThe Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection (MIMII dataset) is used to verify the practicability of the method. Experimental results show that decomposition into an IMF is optimal when taking into account the real-time and accuracy of the diagnosis. Compared with EMD, 51.52% of data preprocessing time, 67.25% of network training time and 63.7% of test time are saved and also improve accuracy.Research limitations/implicationsThis method can achieve higher accuracy in fault diagnosis with a shorter time cost. Therefore, the fault diagnosis of equipment based on the sound signal in the factory has certain feasibility and research importance.Originality/valueThis method provides a feasible method for mechanical fault diagnosis based on sound signals in industrial applications.