bluuebunny/crossref_metadata_2025_split huggingface dataset:
Probing Multiple Algorithms to Calculate Brain Age: Examining Reliability, Relations with Demographics, and Predictive Power
Authors: Bacas Eva , Kahhalé Isabella , Raamana Pradeep R , Pablo Julian B , Anand Apurvaa S , Hanson Jamie L 
Published: June 2022

ABSTRACTThe calculation of so-called “brain age” has been an emerging biomarker in aging research. Data suggests that discrepancies between chronological age and the predicted age of the brain may be predictive of mortality and morbidity (for review, see Cole, Marioni, Harris, & Deary, 2019). However, with these promising results come technical complexities of how to calculate brain age. Various groups have deployed methods leveraging different statistical approaches, often crafting novel algorithms for assessing this biomarker. There remain many open questions about the reliability, collinearity, and predictive power of different algorithms. Here, we complete a rigorous systematic comparison of three commonly used, previously published brain age algorithms (XGBoost, brainageR, and DeepBrainNet) to serve as a foundation for future applied research. First, using multiple datasets with repeated MRI scans, we calculated two metrics of reliability (intraclass correlations and Bland–Altman bias). We then considered correlations between brain age variables, chronological age, biological sex, and image quality. We also calculated the magnitude of collinearity between approaches. Finally, we used canonical regression and machine learning approaches to identify significant predictors across brain age algorithms related to clinical diagnoses of mild cognitive impairment or Alzheimer’s Disease. Using a large sample (N=2557), we find all three commonly used brain age algorithms demonstrate excellent reliability (r>.9). We also note that brainageR and DeepBrainNet are reasonably correlated with one another, and that the XGBoost brain age is strongly related to image quality. Finally, and notably, we find that XGBoost brain age calculations were more sensitive to the detection of clinical diagnoses of mild cognitive impairment or Alzheimer’s Disease. We close this work with recommendations for future research studies focused on brain age.
Cold-passaged isolates and bat-swine influenza A chimeric viruses as modified live-attenuated vaccines against influenza A viruses in pigs
Authors: Graaf Annika , Petric Philipp P. , Sehl-Ewert Julia , Henritzi Dinah , Breithaupt Angele , King Jacqueline , Pohlmann Anne , Deutskens Fabian , Beer Martin , Schwemmle Martin , Harder Timm 
Published: June 2022

AbstractSwine influenza A virus (swIAV) infections in pig populations cause considerable morbidity and economic losses. Frequent reverse zoonotic incursions of human IAV boost reassortment opportunities with authentic porcine and avian-like IAV in swine herds potentially enhancing zoonotic and even pre-pandemic potential. Vaccination using adjuvanted inactivated full virus vaccines is frequently used in attempting control of swIAV infections. Accelerated antigenic drift of swIAV in large swine holdings and interference of maternal antibodies with vaccine in piglets can compromise these efforts. Potentially more efficacious modified live-attenuated vaccines (MLVs) bear the risk of reversion of MLV to virulence. Here we evaluated new MLV candidates based on cold-passaged swIAV or on reassortment-incompetent bat-IAV-swIAV chimeric viruses. Serial cold-passaging of various swIAV subtypes did not yield unambiguously temperature-sensitive mutants although safety studies in mice and pigs suggested some degree of attenuation. Chimeric bat-swIAV expressing the hemagglutinin and neuraminidase of an avian-like H1N1, in contrast, proved to be safe in mice and pigs, and a single nasal inoculation induced protective immunity against homologous challenge in pigs. Reassortant-incompetent chimeric bat-swIAV vaccines could aid in reducing the amount of swIAV circulating in pig populations, thereby increasing animal welfare, limiting economic losses and lowering the risk of zoonotic swIAV transmission.
A pituitary gene network linking vgll3 to regulators of sexual maturation in male Atlantic salmon
Authors: Ahi Ehsan Pashay , Sinclair-Waters Marion , Donner Iikki , Primmer Craig R. 
Published: June 2022

AbstractAge at maturity is a key life history trait and a significant contributor to life history strategy variation. The maturation process is complex and influenced by genetic and environmental factors alike, but specific causes of variation in maturation timing remain elusive. In many species, the increase in the regulatory gonadotropin-releasing hormone 1 (GnRH1) marks the onset of puberty. Atlantic salmon, however, lack the gene encoding GnRH1, suggesting other regulatory factors are involved in the maturation process. Earlier research in Atlantic salmon has found a strong association between alternative alleles of vgll3 and maturation timing, making vgll3 a candidate reproductive axis gene regulator. Recently we reported strong induction of gonadotropin encoding genes (fshb and lhb) in the pituitary of male Atlantic salmon homozygous for the vgll3 allele linked with the early maturation allele (E). The induction of gonadotropins was accompanied by increased expression of their direct upstream regulators, c-jun and sf1 (nr5a1b) in the pituitary. In mammals, the transcriptional activation of c-jun and sf1 is also required for induction of fshb and lhb, however, GnRH1 is responsible for increased transcriptional activity of c-jun and sf1. The absence of gnrh1 in salmon raises the possibility of the involvement of other regulators upstream of these factors. In this study, we investigated such a possibility through a stepwise approach for identifying a gene regulatory network (GRN) containing c-jun and sf1 and using the zebrafish coexpression database and transcription factor motif enrichment analysis. We found a GRN containing c-jun with predicted upstream regulators, e2f1, egr1, foxj1 and klf4, which are also differentially expressed in the pituitary. Finally, we suggest a model for transcriptional regulation of c-jun and sf1in the absence of gnrh1 in the pituitary, which may have broader implications across vertebrates.
Replication of alphaviruses requires a pseudoknot that involves the polyA tail
Authors: Olsthoorn René CL 
Published: June 2022

SummaryAlphaviruses, such as Sindbis virus and Chikungunya virus, are RNA viruses with a positive sense single-stranded RNA genome that infect various vertebrates including humans. A conserved sequence element (CSE) of ∼19 nucleotides (nts) in the 3’ non-coding region is important for replication. Despite extensive mutational analysis of the CSE no comprehensive model of this element exists to date. Here it is shown that the CSE can form an RNA pseudoknot with part of the polyA tail and is similar to the human telomerase peudoknot with which it shares 17 nts. Mutants that alter the stability of the pseudoknot were investigated in the context of a replicon of Sindbis virus and by native gel electrophoresis. These studies reveal that the pseudoknot is required for virus replication and is stabilized by UAU base triples. The new model is discussed in relation to previous data on Sindbis virus mutants and revertants lacking (part of) the CSE.
Biosensor optimization using a FRET pair based on mScarlet red fluorescent protein and an mScarlet-derived green fluorescent protein
Authors: Gohil Khyati , Wu Sheng-Yi , Takahashi-Yamashiro Kei , Shen Yi , Campbell Robert E. 
Published: June 2022

AbstractGenetically encoded biosensors based on Förster resonance energy transfer (FRET) are indispensable tools for monitoring biochemical changes in cells. Green and red fluorescent protein-based FRET pairs offer advantages over the classically employed cyan and yellow fluorescent protein pairs, such as better spectral separation, lower phototoxicity, and less autofluorescence. Here, we describe the development of an mScarlet-derived green fluorescent protein (designated as mWatermelon) and its use as a FRET donor to the red fluorescent protein mScarlet-I as a FRET acceptor. We tested the functionality of this FRET pair by engineering biosensors for the detection of protease activity, Ca2+, and K+. Furthermore, we described a strategy to enhance the FRET efficiency of these biosensors by modulating the intramolecular association between mWatermelon and mScarlet-I.
Fine-tuning of coumaric acid synthesis to increase naringenin production in yeast
Authors: Mao Jiwei , Mohedano Marta Tous , Li Xiaowei , Liu Quanli , Nielsen Jens , Siewers Verena , Chen Yun 
Published: June 2022

Abstract(2S)-Naringenin is a key precursor for biosynthesis of various high-value flavonoids and possesses a variety of nutritional and pharmaceutical properties on human health. Systematic optimization approaches have been employed to improve (2S)-naringenin production in different microbial hosts. However, very few studies have focused on the spatiotemporal distribution of (2S)-naringenin and related pathway intermediate p-coumaric acid, which is an important factor for efficient production. Here, we show that fine-turning of p-coumaric acid synthesis enables alleviated cell burden and improved (2S)-naringenin production in yeast. First, we systematically optimized the (2S)-naringenin biosynthetic pathway by alleviating the bottleneck downstream of p-coumaric acid and increasing malonyl-CoA supply, which improved (2S)-naringenin production but significant amounts of p-coumaric acid still accumulated outside the cell. We further established a dual dynamic control system through combing a malonyl-CoA biosensor regulator and an RNAi strategy, to autonomously control the synthesis of p-coumaric acid and downregulate a pathway competing for malonyl-CoA. The optimized strains remarkably decreased extracellular accumulation of p-coumaric acid and simultaneously improved (2S)- naringenin production. Finally, production of 933 mg/L of (2S)-naringenin could be achieved by using minimal medium with negligible accumulation of p-coumaric acid. Our work highlights the importance of systematic control of pathway intermediates for efficient microbial production of plant natural products.
The highly expressed ERV1 forms virus-like particles for regulating early embryonic development
Authors: Li Wenjing , Liu Shujuan , Zhao Jianglin , Deng Ruizhi , Liu Yayi , Li Huijia , Ma Hongwei , Chen Yanzhi , Zhang Jingcheng , Wang Yongsheng , Su Jianmin , Quan Fusheng , liu Xu , Luo Yan , Zhang Yong , Liu Jun 
Published: June 2022

AbstractIn mammals, the transcription of transposable elements (TEs) is important for maintaining early embryonic development. Here, we systematically analyzed the expression characteristics of TE-derived transcripts in early embryos by constructing a database of TEs and transcriptome data from goats and using it to study the function of endogenous retroviruses (ERVs) in regulating early embryo development. We found that ERV1 made up the highest proportion of TE sequences and exhibited a stage-specific expression pattern during early embryonic development. Among ERV elements, ERV1 had the potential to encode the Gag protein domain to form virus-like particles (VLPs) in early goat embryos. Knockdown of ERV1_1_574 significantly reduced the embryo development rate and the number of trophoblast cells (P< 0.05). Transcriptome sequencing analysis of morula embryos showed that ERV1_1_574 mainly regulated the expression of genes related to embryo compaction and trophoblast cell differentiation, such as CX43 and CDX2. In summary, we found that ERV1 expression was essential for early embryonic development in goats through regulation of trophoblast cell differentiation.
Recovery of flights disrupted by snowstorm
Authors: Liu Xiaopeng 
Published: June 2022

Purpose
To reduce the time of flight rescheduling, reduce the total delay cost of all flights to a minimum and put forward more references for passengers to take flights, this paper aims to mainly study the recovery of flights affected by snow disaster within the minimum delay time.

Design/methodology/approach
The temporal and spatial network flight recovery model is used to optimize all flights of various types of aircraft, and the adjusted flight schedule based on minute delay time is obtained. In addition, for passenger travel flights, the impact of passenger delay cost on the total delay time is minimized as an objective function to calculate the passenger delay cost.

Findings
In this paper, the actual departure time of aircraft is sorted in ascending order. Up to five planes can take off from the runway every 5 min, and the 10-min decision interval is successively delayed. The actual arrival time is sorted by the same method and the sequential delay is calculated to obtain the adjusted flight schedule. As a result, it takes less time to reschedule flights.

Originality/value
In this paper, heuristic algorithm is used to adjust the schedule of delayed flights flexibly, which is convenient for manual modification. This decision method has good robustness and can partially adjust the interrupted flights without affecting other scheduled flights while maintaining the stable operation of the whole plan, greatly improving the efficiency of civil aviation operations and reducing the impact of flight delays.
Combining artificial intelligence and building engineering technologies towards energy efficiency: the case of ventilated façades
Authors: Summa Serena , Mircoli Alex , Potena Domenico , Ulpiani Giulia , Diamantini Claudia , Di Perna Costanzo 
Published: June 2022

Purpose
Nearly 75% of EU buildings are not energy-efficient enough to meet the international climate goals, which triggers the need to develop sustainable construction techniques with high degree of resilience against climate change. In this context, a promising construction technique is represented by ventilated façades (VFs). This paper aims to propose three different VFs and the authors define a novel machine learning-based approach to evaluate and predict their energy performance under different boundary conditions, without the need for expensive on-site experimentations

Design/methodology/approach
The approach is based on the use of machine learning algorithms for the evaluation of different VF configurations and allows for the prediction of the temperatures in the cavities and of the heat fluxes. The authors trained different regression algorithms and obtained low prediction errors, in particular for temperatures. The authors used such models to simulate the thermo-physical behavior of the VFs and determined the most energy-efficient design variant.

Findings
The authors found that regression trees allow for an accurate simulation of the thermal behavior of VFs. The authors also studied feature weights to determine the most relevant thermo-physical parameters. Finally, the authors determined the best design variant and the optimal air velocity in the cavity.

Originality/value
This study is unique in four main aspects: the thermo-dynamic analysis is performed under different thermal masses, positions of the cavity and geometries; the VFs are mated with a controlled ventilation system, used to parameterize the thermodynamic behavior under stepwise variations of the air inflow; temperatures and heat fluxes are predicted through machine learning models; the best configuration is determined through simulations, with no onerous in situ experimentations needed.
Does openness increase vulnerability to digital frauds? Observing social media digital footprints to analyse risk and legal factors for banks
Authors: Murthy Nilaya , Gopalkrishnan Santosh 
Published: June 2022

Purpose
The purpose of this study is to find out if there is a sequence or pattern to digital frauds and whether the openness quotient of any individual has a meaningful role to play in them becoming victims of digital frauds. The legal and regulatory angle of digital frauds and relief measures for social media openness and frauds are discussed to examine the connection between openness, identity data, visibility, vulnerability, digital frauds and social media sharing of information.

Design/methodology/approach
This study is empirical and investigative research. Primary data was collected via questionnaires circulated among participants from various age groups to understand the implications of different demographic factors such as age, websites used, profiles created and data shared on the internet, social media and e-commerce websites.

Findings
The results exhibit that the openness factor does affect vulnerability and has an influence on the risk and legal component of inclination towards digital frauds.

Practical implications
This research study results in bridging the gap by increasing the level of understanding and awareness in users toward achieving proactive and regulated behaviour and comprehending the violation of various acts of digital frauds and its implications, especially in the Indian banking sector.

Originality/value
This study will be beneficial to all individuals alike in understanding the implications of excessive openness toward digital platforms and evaluating generic and legal solutions to avoid becoming victims of digital fraud.
A time-varying impact of ageing population on the economy of Malaysia
Authors: Ong Hway-Boon , Mohd-Audi-Tye Sajiah Husna 
Published: June 2022

Purpose By 2040, 14.5% of Malaysia’s population will consist of those aged 65 years and above. The purpose of this paper is to examine the time-varying impact of an ageing population on the economy of Malaysia.Design/methodology/approach The relationship between the ageing population and economic performance was examined from the period 1971–2019. The time-varying rolling convergence estimation of 40 + k observations sample frame of the trace statistics was analysed.Findings The ageing population had affected the economic activities in Malaysia over all sampling time frame from 1971 to 2010, 1972–2011, …to 1980–2019. The growth in total population and economic activities also caused a significant increase in the ageing population in the long run. An improved economic performance signifies the affordability for better healthcare services and improvement in medical science technology to treat diseases.Originality/value Its ageing population has gradually slow down economic activities in Malaysia. Now is the time to be prepared and address an ageing workforce issues such as productivity, retirement policy, savings behaviour and life-long learning capabilities.Peer review The peer review history for this article is available at https://publons.com/publon/10.1108/IJSE-04-2021-0234.
Business customer experience in B2B2C service settings: a scale development
Authors: G. Rejikumar , Asokan-Ajitha Aswathy 
Published: June 2022

Purpose
Business-to-business (B2B) relations will become more prevalent in many areas such as delivery services, based on current trends supporting e-commerce proliferation. In addition, hyperlocal e-commerce, which focuses on customers in a small geographic region, relies heavily on another business to handle the supply chain. Emerging trends in business to business to customer (B2B2C) experiences provide retailers with opportunities to develop strategies for better customer service. Therefore, the purpose of this study was to develop a scale for measuring business customer experience in the B2B2C aggregator business model.

Design/methodology/approach
Using the psychometric scale development procedure, the researchers devised a 29-item, six-dimensional scale measuring business customer experience with the help of two cross-sectional studies. Restaurant managers who rely on delivery partners to serve their customers were surveyed twice. The authors validated a scale for assessing business customer experience using exploratory factor analysis, confirmatory factor analysis and structural equation modelling.

Findings
Based on fit criteria, a higher-order formative structure was best suited to the scale. The dimensions identified were shared vision, interaction experience, end-customer focus, relationship experience, service experience and outcome focus. According to the study, business customer experience is more objective and utilitarian than existing paradigms on customer experience.

Research limitations/implications
Theoretically, this research helps to understand the underpinnings behind the formation of business customer experience and attempt to bring transformative service research focus in the B2B2C trilogy as better experiences predict the well-being of members of the business centre in the B2B.

Practical implications
Practically, this research helps businesses to revisit their strategies for a better relationship with business partners for jointly offering an improved experience to the end customers.

Originality/value
This study explains a pioneer attempt to develop a scale for business customer experience in the context of B2B2C aggregator business models.
China’s OFDI support mechanisms in Germany: how governments can work together to promote SME internationalization, reduce liability of foreignness and contribute positively to society
Authors: Hänle Fabian , Weil Stefanie , Cambré Bart 
Published: June 2022

Purpose
Nested within institutional theory and the political economy perspective, this study aims to examine Chinese outward foreign direct investments (OFDI)-supporting organizations and fostering mechanisms for its SMEs in Europe’s largest economy, Germany.

Design/methodology/approach
The authors conduct a multiple-case study to present rich insights from elite interviews with representatives of Chinese and German governmental organizations, intermediary parties and specialized OFDI consultants. In addition, the authors analyze secondary data such as presentations, websites, brochures, social media and recent Chinese OFDI policies for SMEs. The findings are triangulated by interviewing business owners and senior executives of seven Chinese SMEs that have invested in Germany.

Findings
Cooperating with Germany’s federal government, China’s ministries implemented an effective OFDI support network in Germany, which connects and benefits both economies. This includes Chinese governmental organizations, privately-held national champions, German–Chinese business associations and linked intermediary parties. These organizations support SMEs through four main mechanisms: networking and information, mutually beneficial knowledge transfer between innovation partners, lobbying for potential cooperation and an objective picture of Chinese OFDI and facilitating investment services.

Originality/value
This study advances OFDI theory and contributes to the growing discussion on the internationalization of Chinese SMEs by shedding light on China’s OFDI support organizations and mechanisms in the German market. The study also offers practical contributions. Understanding better how governments can spur internationalization is vital, as it determines the effectiveness of policymaking and fosters international mutual understanding, cultural exchange and firm growth and innovation (Ahlstrom, 2010), and hence ultimately contributes positively to society. Moreover, knowing the specific OFDI support organizations and measures China is currently adopting can serve as a helpful orientation for Chinese entrepreneurs who plan to invest in Germany.