bluuebunny/crossref_metadata_2025_split huggingface dataset:
Telomere-to-telomere genome assembly of matsutake (Tricholoma matsutake)
Authors: Kurokochi Hiroyuki , Tajima Naoyuki , Sato Mitsuhiko P. , Yoshitake Kazutoshi , Asakawa Shuichi , Isobe Sachiko , Shirasawa Kenta 
Published: July 2022

AbstractHere, we report the first telomere-to-telomere genome assembly of matsutake (Tricholoma matsutake), which consists of 13 chromosomes (spanning 160.7 Mb) and a 76 kb circular mitochondrial genome. The chromosome sequences were supported with telomeric repeats at the ends. GC-rich regions are located at the middle of the chromosomes and are enriched with long interspersed nuclear elements (LINEs). Repetitive sequences including long-terminal repeats (LTRs) and LINEs occupy 71.7% of the genome. A total of 28,322 potential protein-coding genes and 324 tRNA genes were predicted. Sequence and structure variant analysis revealed 2,322,349 single nucleotide polymorphisms and 102,831 insertions and deletions, 0.6% of which disrupted gene structure and function and were therefore classified as deleterious mutations. As many as 683 copies of the LTR retrotransposonMarY1were detected in the matsutake genome, 91 of which were inserted in gene sequences. In addition, 187 sequence variations were found in the mitochondrial genome. The genomic data reported in this study would serve as a great reference for exploring the genetics and genomics of matsutake in the future, and the information gained would ultimately facilitate the conservation of this vulnerable genetic resource.
Deep learning as a tool for inverse problems resolution: a case study
Authors: Barmada Sami , Formisano Alessandro , Thomopulos Dimitri , Tucci Mauro 
Published: July 2022

Purpose
This study aims to investigate the possible use of a deep neural network (DNN) as an inverse solver.

Design/methodology/approach
Different models based on DNNs are designed and proposed for the resolution of inverse electromagnetic problems either as fast solvers for the direct problem or as straightforward inverse problem solvers, with reference to the TEAM 25 benchmark problem for the sake of exemplification.

Findings
Using DNNs as straightforward inverse problem solvers has relevant advantages in terms of promptness but requires a careful treatment of the underlying problem ill-posedness.

Originality/value
This work is one of the first attempts to exploit DNNs for inverse problem resolution in low-frequency electromagnetism. Results on the TEAM 25 test problem show the potential effectiveness of the approach but also highlight the need for a careful choice of the training data set.
Can market knowledge lead to radical product innovation performance? The double-edged sword effect of absorptive capacity
Authors: Chang Chia-Yang , Tsai Kuen-Hung , Sung Billy 
Published: July 2022

PurposeThis paper examines the effect of market knowledge on market success of product innovativeness and the moderating role of absorptive capacity. We separated market knowledge into market diversity and market significance components and examined their effects on radical product innovation performance.Design/methodology/approachThis paper adopted the secondary database study. Excluding cases with missing values of main variables, a total of 1,219 Taiwanese manufacturing firms from the Third Taiwan Technology Innovation Survey (TTIS3) database were used to test the hypotheses. A moderated hierarchical regression approach was utilized to analyze the data.FindingsThe results revealed that the relationship between market diversity and radical product innovation performance is a predominantly positive concave downward curve. In contrast, the relationship between market significance and radical product innovation performance is a predominantly negative concave downward curve. Furthermore, the results also indicated that absorptive capacity has different moderating effects on the relationships between market diversity/significance and radical product innovation performance. Absorptive capacity enhances the negative effect of market significance but suppresses the positive effect of market diversity on radical product innovation performance.Originality/valueThis paper is the first research which contributes to examining the relationship between market knowledge and radical product innovation sale performance.
Analysis of nonlinear evolution mechanism of power technology progress under the constraints of net-zero carbon dioxide emissions in China
Authors: Zheng Huaihua 
Published: July 2022

PurposeStriving to achieve the goal of carbon neutrality before 2060 indicates that China, as the most extensive power system in the world and a country based on coal power, is imperative to improve the technical level of electric power utilization. This paper aims to explore the nonlinear evolution mechanism of power technology progress under the constraints of net-zero carbon dioxide emissions in China.Design/methodology/approachThis paper, first, based on China’s provincial panel data from 2000 to 2019, uses global direction distance function to measure power technological progress. Second, the threshold regression model is used to explore the nonlinear relationship between carbon emission reduction constraints on electric power technological progress.FindingsThere is a significant inverted U-shaped relationship between China’s provincial carbon emission reduction constraints and electric power technological progress. Meanwhile, the scale of regional economic development has a significant moderating effect on the relationship between carbon emission reduction constraints and power technological progress.Research limitations/implicationsThis paper puts forward targeted suggestions for perfecting regional carbon emission reduction policy and improving electric power technological progress.Originality/valueBased on the global directional distance function, this paper extracts power as a production factor in total factor productivity and calculates the total factor electric power technological progress. This paper objectively reveals the influence mechanism of carbon emission reduction constraints on electric power technology progress based on the threshold regression model.
Pride or empathy? Exploring effective CSR communication strategies on social media
Authors: He Zeya , Liu Stephanie , Ferns Bo H. , Countryman Cary C. 
Published: July 2022

Purpose
Focusing on the corporate social responsibility (CSR) communication context, the present research aims to understand when and why featuring pride versus empathy in a hospitality brand’s social media post can effectively boost consumers’ loyalty intention.

Design/methodology/approach
Two experimental studies examined the congruence effects between emotional appeal and sense of power, where power was made situationally salient within the social media post (Study 1) or measured as a personality trait (Study 2).

Findings
Emotional appeals featuring pride (vs empathy) will lead to higher loyalty intention for individuals with a situational or chronic sense of high (vs low) power. A further examination into the psychological mechanism reveals that such congruence effects are serially mediated through consumers’ perceived brand authenticity and brand trustworthiness.

Practical implications
Understanding how the sense of power may influence consumer response to social media posts using different emotional appeals can provide useful guidance for marketers about how to creatively segment customers and curate appropriate targeting messages for effective CSR communication and relationship building on social media.

Originality/value
Extending the message framing research on schema congruity, this research is the first to reveal the congruence effects of emotional appeal and sense of power in CSR communications and uncover the serial mediating roles of perceived brand authenticity and brand trustworthiness in relationship marketing on social media.
Recognition of fatigue and severe sliding wear particles using a CNN model with multi-scale feature extractor
Authors: Liu Xinliang , Cheng Liang , Chen Guoning , Wang Xiaolei , Wang Jingqiu 
Published: July 2022

Purpose
The purpose of this study is to provide a new convolutional neural network (CNN) model with multi-scale feature extractor to segment and recognize wear particles in complex ferrograph images, especially fatigue and severe sliding wear particles, which are similar in morphology while different in wear mechanism.

Design/methodology/approach
A CNN model named DWear is proposed to semantically segment fatigue, severe sliding particles and four other types of particles, that is, chain, spherical, cutting and oxide particles, which unifies segmentation and recognition together. DWear is constructed using four modules, namely, encoder, densely connected atrous spatial pyramid pooling, decoder and fully connected conditional random field. Different from the architectures of ordinary semantic segmentation CNN models, a multi-scale feature extractor using cascade connections and a coprime atrous rate group is incorporated into the DWear model to obtain multi-scale receptive fields and better extract features of wear particles. Moreover, fully connected conditional random field module is adopted for post-processing to smooth coarse prediction and obtain finer results.

Findings
DWear is trained and verified on the ferrograph image data set, and experimental results show that the final Mean Pixel Accuracy is 95.6% and the Mean Intersection over Union is 92.2%, which means that the recognition and segmentation accuracy is higher than those of previous works.

Originality/value
DWear provides a promising approach for wear particle analysis and can be further developed in equipment condition monitoring applications.
Looking at the moral judgments of offenders through new lenses
Authors: Zara Georgia , Veggi Sara , Ianì Francesco , Bucciarelli Monica 
Published: July 2022

PurposeStudies on the moral judgment of offenders conducted within a neo-Kolhbergian framework found that offenders exhibit more primitive thinking about moral issues compared to nonoffenders. The purpose of this study is to explore, within the mental model theory, the role of reasoning in moral judgments of offenders, considering both similarities and differences with nonoffenders.Design/methodology/approachA series of moral scenarios were randomly presented to both offenders and nonoffenders. Participants were asked to report their reactions for each scenario. Their reactions were coded and assessed.FindingsFindings show that moral judgments rely on the same reasoning processes in both offenders and nonoffenders: a moral scenario, in which propositions related to norms and values were manipulated, led to a scenario that generated a moral conflict (Study 1), but offenders had more intuitions about immoral scenarios than nonoffenders (Study 2). Moreover, the results partially confirm the prediction that offenders are more likely to deliberately reason about scenarios that described those crimes similar to the ones they committed (Study 3).Originality/valueThis study highlights the importance of understanding that moral judgments in both offenders and nonoffenders rely on the same reasoning processes, even though offenders tend to reason more on scenarios near to the crimes they committed. This has practical implications for interventions in so far as it could have an effect in how prosocial functioning could be promoted.
The key for success in the value chain of a social entrepreneur in Vietnam
Authors: Do Minh Ngoc 
Published: July 2022

PurposeThis paper intends to analyze a social enterprise as a case example of fulfilling social missions and achieving financial profitability at the same time. This paper aims to illustrate a business partnership that helps to bridge the gap in business and employment opportunities between megacities and suburban areas and examine value-creating activities that generate healthy income stream for the business.Design/methodology/approachThis paper follows a quantitative methodology in the form of case study. The data are collected through interviews, personal observation and document analysis; direct quotes from interviewees are used to describe the phenomenon. Value chain framework is adopted to analyze company activities and deduce key success factors as well as value creations of the company.FindingsThe case demonstrates that social enterprises can be self-sustained financially, which would help them to better fulfill their social missions. Financial profitability can be achieved through good management of production, marketing and sales activities. Besides, value creation achieved through activities in the value chain is not only for customers but also for suppliers – a beneficiary within the social impact created by the case company.Practical implicationsThe case demonstrates the necessity of establishing strong alliance with suppliers and customers in ensuring business success, which implies that leaders need to equip themselves with good business skills. Entrepreneurship support should include educational and training assistance besides the usual legal and financial support.Social implicationsThe case provides an exemplary partnership model that helps social enterprises to achieve financial security and social mission at the same time. This model can be applied anywhere in the world to create benefits for vulnerable communities.Originality/valueThe case study contributes to the limited understanding of social entrepreneurship in Vietnam, and demonstrates a social innovation in business partnership that helps to diminish the inequality of income and employment opportunities between suburban areas and big cities.
Exploring influencing factors for private sector participation in PPP power projects: case of Ghana
Authors: Kukah Augustine Senanu Komla , Owusu-Manu De-Graft , Badu Edward , Edwards David John 
Published: July 2022

Purpose
Demand for private investment in infrastructure, notably in the power sector remains high, and this is anticipated to expand with the passage of time. Very little research currently exists on the power sector and specifically the private sector influencing factors (PSIFs) for entering into public–private partnerships (PPPs). The purpose of this study is to explore influencing factors for private sector participation in PPP power projects in Ghana.

Design/methodology/approach
Using purposive and snowball sampling techniques, questionnaires were used to gather responses from experts in the PPP power sector domain in a two-round Delphi survey. Reliability analysis was conducted using Cronbach’s alpha coefficient and level of agreement tested using Kendall’s concordance. Mean score ranking, analysis of variance (ANOVA) and Chi-square test were the main analysis conducted on the influencing factors.

Findings
The most significant PSIFs were: obtaining of investment support; improvement in private sector’s international image; synergy with public sector; sharing of risks; and gaining of profits. From ANOVA results, all the influencing factors had no significant different perception between the number of years in PPP practice and the motivations for the private sector entering into PPP power projects. Using Chi-square, the association between the variables indicated they were statistically significant.

Practical implications
The findings in this study are significant for multinational power generation firms that seek to enter the Ghanaian energy sector to help fill the generation gap and deficit.

Originality/value
The output of this research contributes to the checklist of influencing factors for private sector participation in PPP power projects and enhances the development of PPP practice.
An examination of the sociodemographic and psychiatric characteristics of children who have suffered penetrative and non‐penetrative sexual abuse in Malatya, Eastern Turkey
Authors: Dündar Ahmet Sedat , Oruç Mucahit , Altın İsmail , Dönmez Yunus Emre , Celbiş Osman 
Published: July 2022

AbstractPenetrative and nonpenetrative sexual abuse can cause short‐ and long‐term psychiatric problems in victims. This study aimed to examine the sociodemographic characteristics and psychiatric diseases of children in Malatya, eastern Turkey, according to whether the abuse was penetrative or nonpenetrative. A retrospective examination was conducted on the records of 115 cases of sexual abuse that had been referred to judicial authorities from January 1, 2012–July 30, 2019. The subjects were evaluated by a committee formed of 5–7 separate specialized department faculty members. It was determined that 51.3% (n = 59) of the cases had suffered nonpenetrative sexual abuse, and 48.7% (n = 56) had suffered penetrative sexual abuse. The majority of the perpetrators were known to the child from their close environment. A psychiatric diagnosis was made by the committee in 20.3% (n = 12) of the nonpenetrative cases and in 42.9% (n = 24) of the penetrative cases. There was a significant difference between penetrative and nonpenetrative sexual abuse in terms of psychiatric diagnoses. Of the cases of penetrative sexual abuse, 87.5% (n = 14) had attempted suicide. As a result, early diagnosis of sexual abuse, which has devastating effects on mental health in the early and late periods before it penetrates, can reduce the devastating effects on the child. For this reason, it is crucial for doctors, psychologists, social workers, and teachers who work with children to be informed about this issue.
Respiratory presentations and admissions at Bathurst Base Hospital emergency department: Exploring the impacts of the recent bushfire crisis
Authors: Mowbray Jack , Peterson Lima , Bailey Jannine 
Published: July 2022

AbstractObjectiveTo examine respiratory‐related ED admissions and presentations at Bathurst Base Hospital during the 2019–2020 New South Wales bushfire crisis.MethodsA retrospective clinical audit was undertaken. Publicly available data on air quality were also examined.ResultsPoorer air quality (measured by PM10 levels) was correlated with increased presentations to the ED (R = 0.228, P = 0.012). ED patients with respiratory diagnoses were more likely to be admitted for inpatient care in 2019–2020 (n = 234, 49.3%) compared with 2018–2019 (n = 165, 39.6%).ConclusionThe impact of bushfire smoke needs to be considered in the allocation of resources in this area in future, but further research is warranted to understand the full extent of impact at the local level.
Tandem mass tag–based proteomics analysis of protein changes in the freezing and thawing cycles of Trachurus murphyi
Authors: Hu Chunlin , Xie Jing 
Published: July 2022

AbstractWe investigated the proteome variations in Trachurus murphyi with different cycles of freezing and thawing (FT) under frozen storage. A total of 2,482 proteins were assessed quantitatively, of which 269 proteins were recognized as differential abundance proteins during the second FT cycle until the eighth FT cycle. Bioinformatics analysis on gene ontology (GO) functional annotation and Kyoto Encyclopedia of Genes and Genomes pathway analyses of Differential Analysis of Proteins (DAPs) indicated multiple DAPs engaged with the protein structure, metabolic enzymes, and protein turnover. In addition, some of the observed proteins were probably the underlying markers of protein oxidation (PO). The analysis of PO sites revealed the sites of PO, such as amino adipic semialdehydes, γ‐glutamic semialdehydes, and Schiff bases. Bioinformatics analyses demonstrated the involvement of differentially expressed proteins in the Hippo signaling pathway (Ko04390), indicating strong protein degradation with greater numbers of FT cycles under frozen storage. It provides an insight into quality stability from a proteomics quality perspective at the molecular level. The results obtained have deepened our current understandings of the mechanisms that reveal variations in proteomes and quality, as well as help promote quality control of T. murphyi across the cold transportation chain.Practical ApplicationTemperature fluctuation is one of the core issues during frozen food storage and distribution faced by the frozen food industry. Fluctuation may result in microstructural changes, ice recrystallization, and protein change in frozen food products. Tandem mass tag–based methods were adopted to study proteome variations in Trachurus murphyi muscles under different cycles of freezing and thawing under frozen storage conditions in this paper. The results obtained have deepened our current understandings of the mechanisms that reveal variations in proteomes and quality, as well as help promote quality control of T. murphyi across the cold transportation chain.
Application of a novel fluorogenic polyurethane analogue probe in polyester‐degrading microorganisms screening by microfluidic droplet
Authors: Xu Anming , Liu Jiawei , Cao Shixiang , Xu Bin , Guo Chengzhi , Yu Ziyi , Chen Xiaoqiang , Zhou Jie , Dong Weiliang , Jiang Min 
Published: July 2022

AbstractApplication of polyester‐degrading microorganisms or enzymes should be considered as an eco‐friendly alternative to chemical recycling due to the huge plastic waste disposal nowadays. However, current impranil DLN‐based screening of polyester‐degrading microorganisms is time‐consuming, labour‐intensive and unable to distinguish polyesterases from other protease‐ or amidase‐like enzymes. Herein, we present an approach that combined a novel synthetic fluorescent polyurethane analogue probe (FPAP), along with the droplet‐based microfluidics to screen polyurethane‐degrading microorganisms through fluorescence‐activated droplet sorting (FADS) pipeline. The fluorescent probe FPAP exhibited a fluorescence enhancement effect once hydrolysed by polyesterases, along with a strong specificity in discriminating polyesterases from other non‐active enzymes. Application of FPAP in a microfluidic droplet system demonstrated that this probe exhibited high sensitivity and efficiency in selecting positive droplets containing leaf‐branch compost cutinase (LCC) enzymes. This novel fluorogenic probe, FPAP, combined with the droplet microfluidic system has the potential to be used in the exploitation of novel PUR‐biocatalysts for biotechnological and environmental applications.
Assessment of interclass and intraclass variability of specific lesions of sacroiliac magnetic resonance imaging
Authors: Tekin Zeynep Nilufer , Sahin Cennet , Demirbas Tuna , Kasapoglu Esen 
Published: July 2022

AbstractAimSacroiliac joint (SJ) imaging is the key point in the diagnosis of ankylosing spondylitis (AS). The curved anatomy of the SJ makes the interpretation of imaging difficult. The aim of this study is to evaluate the interclass and intraclass reliability of specific lesions (bone marrow edema [BME], joint space narrowing, erosions, effusion, ankylosis, bridging, sclerosis, fat deposition, and other additional pathologies) on SJ magnetic resonance imaging (MRI).MethodIn a total of 310 randomly chosen patients, 620 SJs were evaluated by three different radiologists with different radiology experiences of specialties other than musculoskeletal radiology.ResultsThe agreement between readers for BME was fair to substantial, for active sacroiliitis was moderate to substantial, for sacroiliac narrowing was fair at best, for erosions was fair to moderate, for SJ sclerosis was none to slight, for chronic sacroiliitis was slight to fair, for degenerative sacroiliitis was none to slight, for normal SJ was slight, for SJ effusion was none to slight, and for fatty deposition was none. Intraclass correlation for readers 1 and 3 was usually good to excellent and for reader 2 was poor to fair.ConclusionThis study was designed to assess the agreement between radiologists who were not familiar with SJ MRI. The agreement between readers was usually fair to substantial and even intraclass correlation was poor to fair for reader 2. Future studies can be designed for standardization and validation of each MRI lesion for better interpretation of SJ MRI.