bluuebunny/crossref_metadata_2025_split huggingface dataset:
Performance of localization prediction algorithms decreases rapidly with the evolutionary distance to the training set increasing
Authors: Gould Sven B. , Magiera Jonas , García Carolina García , Raval Parth K. 
Published: December 2023

AbstractMitochondria and plastids import thousands of proteins. Their experimental localisation remains a frequent task, but can be resource-intensive and sometimes impossible. Hence, hundreds of studies make use of algorithms that predict a localisation based on a protein’s sequence. Their reliability across evolutionary diverse species is unknown. Here, we evaluate the performance of common algorithms (TargetP, Localizer and WoLFPSORT) for four photosynthetic eukaryotes for which experimental plastid and mitochondrial proteome data is available, and 171 eukaryotes using orthology inferences. The match between predictions and experimental data ranges from 75% to as low as 2%. Results worsen as the evolutionary distance between training and query species increases, especially for plant mitochondria for which performance borders on random sampling. Specificity, sensitivity and precision analyses highlight cross-organelle errors and uncover the evolutionary divergence of organelles as the main driver of current performance issues. The results encourage to train the next generation of neural networks on an evolutionary more diverse set of organelle proteins for optimizing performance and reliability.
Cold metal transfer welding of 316L/430 dissimilar stainless-steel welds
Authors: Tembhurkar Chetan , Ambade Sachin , Kataria Ravinder , Verma Jagesvar , Moon Abhijeet 
Published: December 2023

Purpose
This paper aims to examine dissimilar joints for various applications in chemical, petrochemical, oil, gas, shipbuilding, defense, rail and nuclear industry.

Design/methodology/approach
This study examined the effects of cold metal transfer welding on stainless steel welds for 316L austenitic and 430 ferritic dissimilar welds with ER316L, ER309L and without (autogenous) fillers. The microstructural observation was done with an optical microscope. The mechanical test was done to reveal the strength, hardness and toughness of the joint. The electrochemical polarization tests were done to reveal intergranular and pitting corrosion in the dissimilar joints.

Findings
This microstructural study shows the presence of austenitic and ferritic phases with vermicular ferrite for ER309L filler weld, and for ER316L filler weld specimen shows predominately martensitic phase in the weld region, whereas the autogenous weld shows lathy ferrite mixed with martensitic phase. Mechanical test results indicated that filler welded specimen (ER316L and ER309L) has relatively higher strength and hardness than the autogenous weld, whereas ER316L filler weld exhibited the highest impact toughness than ER309L filler weld and lowest in autogenous weld. The electrochemical corrosion results displayed the highest degree of sensitization (DOS) in without filler welded specimen (45.62%) and lower in case of filler welded specimen ER309L (4.95%) and least in case of ER316L filler welded specimen (3.51%). The high DOS in non-filler welded specimen is correlated with the chromium carbide formation. The non-filler welded specimen shows the highest pitting corrosion attack as compared to the ER316L filler weld specimen and relatively better in ER309L filler welded specimen. The highest pitting corrosion resistance is related with the high chromium content in ER309L composition.

Originality/value
This experimental study is original and conducted with 316L and 430 stainless steel with ER316L, ER309 and without fillers, which will help the oil, shipbuilding and chemical industries.
Assembling fire: beyond engineering solutions
Authors: Vaiciulyte Sandra , Underhill Helen , Reddy Elizabeth 
Published: December 2023

PurposeFires have the potential to destroy, resulting in the loss of property and livelihoods, as well as injury, death and repeated trauma for those who are already vulnerable. However, fire as a hazard has been treated rigidly and un-critically, a model that has influenced how it is perceived by policy makers, first responders, engineers and academics and subsequently approaches to implementing and better understanding fire prevention, mitigation, response and recovery from the impacts of fire.Design/methodology/approachThis article deals with fire, arguing that its case can help imagine what liberation might mean within and for disaster studies. The study argues against dogmatic, outdated, technological and solution-focused perspectives that have constrained how fire and its effects are understood and discuss what disciplinary liberation could mean for the study of fire and its integration within DRR. The study’s approach is based on the DRR Assemblage Theory, which points to fire as an issue at a societal level.FindingsThe study explores the themes of fire and liberation through contributions and insights that have emerged through the authors' professional experience in research and practice. It offers an original and timely engagement with disaster studies through the lens of fire, an increasingly pertinent phenomenon for disaster scholars and practitioners alike.Originality/valueBy drawing on the example of fire as a socio-technical-environmental phenomenon, this paper contributes a novel perspective on the intellectual and practical possibilities that can emerge from disciplinary liberation.
Employee education level and efficiency of corporate investment
Authors: Jin Yige , Li Xing , Tian Gaoliang , Shi Jing , Wang Yunyi 
Published: December 2023

PurposeIn this study, the authors explore the association between employee education level and the efficiency of corporate investment using data from a sample of Chinese listed firms during the period from 2011 to 2018. By examining the impact of education on investment efficiency, the authors' study provides valuable insights that contribute to a deeper understanding of the underlying economic mechanisms related to education.Design/methodology/approachThe authors conduct multivariate regression analyses to examine the relationship between investment efficiency (following Richardson, 2006) and the level of employee education, along with a series of control variables. To ensure the reliability of the authors' findings, the authors subject the their results to a comprehensive set of robustness tests, such as a staggered difference-in-difference (DiD) regression approach, an instrumental variable (IV) method and the use of alternative employee education level and investment efficiency measurements.FindingsThe findings offer compelling evidence that higher levels of education have a positive impact on firms' investment efficiency, and this effect remains robust across various model specifications and endogeneity considerations. Moreover, the influence of education is more pronounced in firms that prioritize employee training, maintain effective internal communication and offer attractive financial rewards. Furthermore, the results suggest that the relationship between education and investment efficiency is influenced by the firms' business nature and competitive environment. Factors such as business complexity, labor intensity and business location also play a role in shaping the impact of education on investment outcomes.Originality/valueThe study emphasizes the crucial role of education in influencing investment decisions and performance within firms. By delving into this previously unexplored area, the authors' research contributes to the existing literature, establishing that the level of employee education is a significant determinant of corporate investment efficiency. This valuable insight has substantial implications for firms aiming to enhance their investment decision-making processes and overall performance. Understanding the positive impact of education on investment efficiency can empower organizations to leverage their human capital effectively and achieve better investment outcomes, ultimately contributing to long-term success and competitiveness in the market.
Deeper professional learning: how leaders design for teachers to share their deeper learning practices
Authors: Kallio Julie 
Published: December 2023

PurposeA core challenge for leaders for deeper learning is scaling promising practices to provide students with systematic access to deeper learning experiences. This case illuminates how a group of researchers organized professional learning activities around conferring, a promising deeper learning practice.Design/methodology/approachThe author examines how the leaders of a Networked Improvement Community (NIC) created the conditions for teachers to share their deeper learning practices through a case study. The case study centers on one school team’s learning through their participation in the NIC activities, as evidenced by the artifacts they created and their exchanges with their team, participants from other schools and researchers.FindingsThe trajectory of one team through three NIC activities – a video club, a pitch and user testing – shows how they examined their own conferring practice, got ideas for change and shifted their thinking and practice toward a more student-centered approach. Insights from the case suggest three design principles – a common problem of practice, shared representations of practice and intentional network configurations – for deeper professional learning, or learning experiences that engage educators in purposeful and collaborative inquiry into deeper learning practices.Research limitations/implicationsTwo limitations of the case are a lack of data on the perceived experience of participants, which could speak to the depth of Irving’s shift toward student-centered conferring, and the narrow time scope of the NIC, which limits exploration of the sustainability of the changes to conferring.Practical implicationsThe design principles represent important features for researchers and leaders to consider in ongoing efforts to scale deeper learning. Leaders might use the principles to examine existing or future professional learning efforts.Originality/valueThis case study extends an understanding of one facet of leadership for deeper learning: fostering professional community. Future research is needed to examine the educator experience of participating in deeper professional learning and its sustained impact on practices.
Port service quality assessment using a ROPMIS modeling: seaports scenario in a Gulf country
Authors: Abdul Rahman Noorul Shaiful Fitri , Balasa Adela P. , Othman Mohammad Khairuddin , Alemu Abebe Ejigu 
Published: December 2023

PurposeThis paper aimed to assess the service quality of the main seaports in Oman, which were Sohar, Ad Duqm and Salalah. The aim was to come up with ways to enhance the port service quality (PSQ) in Oman so that it could align with the Sultanate of Oman Logistics Strategy (SOLS) 2040 goals and achieve excellent and efficient operations.Design/methodology/approachTo evaluate the service quality level of the port operators, this paper used a descriptive research design with Resources, Outcome, Process, Management, Image/reputation and Social (ROPMIS) modelling.FindingsThe findings indicated that the overall PSQ rating was currently between “satisfactory” and “very satisfactory” levels. However, the study also found that by empowering resources, outcomes, processes, management, image and social responsibility aspects, the port operators could provide a “high” quality of service, making their seaport operations more effective and efficient.Practical implicationsThe study offers recommendations for improving port services in Oman, including investment in modern seaports, upgrading infrastructure and facilities, ensuring safety and efficiency of cargo operations, meeting and exceeding customer expectations, adopting new technology and automation, hiring policies that attract diverse talents, implementing environmentally friendly practices and improving governance. Overall, this study contributes to the literature and managerial practices in PSQ aspects and its contribution to the SOLS 2040 in Oman.Originality/valueThe originality and novelty of this study lie in its comprehensive assessment of the service quality of Oman's ports and the identification of areas for improvement to achieve outstanding service levels.
Environmental heterogeneity modifies the link between personality and survival in fluctuating small mammal populations
Authors: Brehm Allison M. , Mortelliti Alessio 
Published: December 2023

Abstract

Despite numerous studies examining the fitness consequences of animal personalities, predictions concerning the relationship between personality and survival are not consistent with empirical observations. Theory predicts that individuals who are risky (i.e. bold, active and aggressive) should have higher rates of mortality; however, empirical evidence shows high levels of variation in behaviour–survival relationships in wild populations.

We suggest that this mismatch between predictions under theory and empirical observations results from environmental contingencies that drive heterogeneity in selection. This uncertainty may constrain any universal directional relationships between personality traits and survival. Specifically, we hypothesize that spatiotemporal fluctuations in perceived risk that arise from variability in refuge abundance and competitor density alter the relationship between personality traits and survival.

In a large‐scale manipulative experiment, we trapped four small mammal species in five subsequent years across six forest stands treated with different management practices in Maine, United States. Stands all occur within the same experimental forest but contain varying amounts of refuge and small mammal densities fluctuate over time and space. We quantified the effects of habitat structure and competitor density on the relationship between personality traits and survival to assess whether directional relationships differed depending on environmental contingencies.

In the two most abundant species, deer mice and southern red‐backed voles, risky behaviours (i.e. higher aggression and boldness) predicted apparent monthly survival probability. Mice that were more aggressive (less docile) had higher survival. Voles that were bolder (less timid) had higher survival, but in the risky forest stands only. Additionally, traits associated with stress coping and de‐arousal increased survival probability in both species at high small mammal density but decreased survival at low density. In the two less abundant study species, there was no evidence for an effect of personality traits on survival.

Our field experiment provides partial support for our hypothesis: that spatiotemporal fluctuations in refuge abundance and competitor density alter the relationship between personality traits and survival. Our findings also suggest that behaviours associated with stress coping and de‐arousal may be subject to density‐dependent selection and should be further assessed and incorporated into theory.
The Effect of Foreign Divestment on Subsequent Firm Performance: The Moderating Role of Spatial and Temporal Dispersion of Prior Divestment Experience
Authors: Batsakis Georgios , Mohr Alexander , Konara Palitha , Koritos Christos 
Published: December 2023

AbstractPrevious research has stressed the importance of the relationship between foreign divestment and subsequent firm performance. Yet, controversy remains, as some authors suggest that foreign divestment has a positive effect on firm performance, and others propose that foreign divestment has negative performance effects. To help reconcile this controversy, we first explicate existing arguments and argue that in the context of retail (de‐)internationalisation, foreign divestment will have a predominantly negative effect on retailers’ financial performance. We then draw on organisational learning theory to argue that this negative performance effect of foreign divestment is contingent on (a) the spatial dispersion of previously divested foreign operations (i.e. the extent of geographical diversity of the foreign divestments the multinational enterprise [MNE] has conducted over a specified period of time), and (b) the temporal dispersion of previously divested foreign operations (i.e. the time between prior divestment episodes). Drawing on a panel of some of the largest retail MNEs over the 20‐year period 1997–2016, we find that foreign divestment has a negative effect on retailers’ subsequent performance. Our results also indicate that the negative performance effect of foreign divestment is effectively mitigated by retailers’ prior divestment experience in spatially diverse and temporally dispersed settings.
Covert hepatic encephalopathy is associated with aggressive disease progression and poor survival in patients with cirrhosis
Authors: Wang Jian , Deng Ming Jie , Shi Pei Mei , Peng Yu , Wang Xiao Hang , Tan Wei , Wang Pei Qin , Chen Yue Xiang , Yuan Zong Li , Ning Bei Fang , Xie Wei Fen , Yin Chuan 
Published: December 2023

ObjectivesCovert hepatic encephalopathy (CHE) negatively affects the health‐related quality of life and increases the risk of overt HE (OHE) in patients with liver cirrhosis. However, the impact of CHE on long‐term patient outcomes remains controversial. This study aimed to explore the association between CHE and disease progression and survival among cirrhotic patients.MethodsThis was a single‐center prospective study that enrolled 132 hospitalized patients with cirrhosis, with an average follow‐up period of 45.02 ± 23.06 months. CHE was diagnosed using the validated Chinese standardized psychometric hepatic encephalopathy score.ResultsCHE was detected in 35.61% cirrhotic patients. During the follow‐up, patients with CHE had a higher risk of developing OHE (log‐rank 5.840, P = 0.016), exacerbation of ascites (log‐rank 4.789, P = 0.029), and portal vein thrombosis (PVT) (log‐rank 8.738, P = 0.003). Cox multivariate regression analyses revealed that CHE was independently associated with the occurrence of OHE, exacerbation of ascites, and PVT. Furthermore, patients with progression of cirrhosis were more likely to be diagnosed as CHE (log‐rank 4.462, P = 0.035). At the end of the follow‐up, patients with CHE had a lower survival rate compared to those without CHE (log‐rank 8.151, P = 0.004). CHE diagnosis (hazard ratio 2.530, P = 0.008), together with elder age and higher Child–Pugh score, were risk factors for impaired survival in cirrhotic patients.ConclusionCHE is associated with disease progression and poor survival in patients with cirrhosis, indicating that CHE may serve as an independent predictor of poor prognosis among these patients.
Development of web‐based hydrograph analysis tool considering seasonality and flow condition
Authors: Yang Dongseok , Lee Seoro , Kim Jonggun , Kim Seongjoon , Engel Bernard , Lim Kyoungjae 
Published: December 2023

AbstractBaseflow was proven to be the most unpredictable component of streamflow through various research. However, the recent method for estimating baseflow is due to the development of theoretical and computational techniques. This paper attempted to develop a fully automated baseflow separation system based on a recursive digital filter with an optimization algorithm for the single separation. Most of the previous baseflow separation methods use a single set of a parameter and BFImax (the maximum value of baseflow index), which can underestimate or overestimate the baseflow; however, the system developed in this study estimates multiple optimized a parameters using seasonality and flow conditions and uses them for BFImax calculation and baseflow separation. This system derived baseflow results in better understanding of watershed and streamflow tendency characteristics. This study developed a Web‐based Hydrograph Analysis Tool 2020 with a user‐friendly interface and new separation method regarding the seasonality and flow conditions with a fully automated python module to optimize a parameters and BFImax. The application to the two area show diverse parameter sets and different baseflow according to seasonality and flow conditions representing the flow characteristics. This study could be a fundamental tool for detailed watershed management decisions regarding water security in the dry season or environmental water for aquatic ecosystems.
A probabilistic approach to characterize the joint occurrence of two extreme precipitation indices in the upper Midwestern United States
Authors: Khan Manas , Chen Liang , Markus Momcilo , Bhattarai Rabin 
Published: December 2023

AbstractExtreme precipitation‐related hazards like flash floods pose a widespread risk to humans and infrastructure around the world. In the current study, the Fisher information was applied to understand the nonstationarity of the extreme precipitation regimes, whereas copula was used to quantify the likelihood of joint occurrence of two extreme precipitation indices and associated risk assessment in the upper Midwestern United States (UMUS). The trend analysis revealed an increasing trend in 37% of the stations in heavy precipitation amount in the UMUS. The regime shift analysis showed the non‐stationary nature of extreme precipitation in about half of the total stations in UMUS. Further, the bivariate analysis using copula demonstrated the risk of the joint occurrence of extreme precipitation indices potentially causing flash floods. The risk index analysis indicated about 28.8% of stations under moderate, 10.6% of stations under high and 0.4% of stations under very high risk of flash flooding. The results from the study can provide important insights for the (re)design of resilient and sustainable water infrastructure in the changing climate condition and can also inform managers and planners for better response and preparedness toward extreme precipitation‐related hazards in this region. The results from this study can also help in a more accurate risk assessment, especially in the socio‐economically vulnerable community.
High‐quality haplotype‐resolved genome assembly for ring‐cup oak (Quercus glauca) provides insight into oaks demographic dynamics
Authors: Luo Chang‐Sha , Li Tian‐Tian , Jiang Xiao‐Long , Song Ying , Fan Ting‐Ting , Shen Xiang‐Bao , Yi Rong , Ao Xiao‐Ping , Xu Gang‐Biao , Deng Min 
Published: December 2023

AbstractQuercus section Cyclobalanopsis represents a dominant woody lineage in East Asian evergreen broadleaved forests. Regardless of its ecological and economic importance, little is known about the genomes of species in this unique oak lineage. Quercus glauca is one of the most widespread tree species in the section Cyclobalanopsis. In this study, a high‐quality haplotype‐resolved reference genome was assembled for Q. glauca from PacBio HiFi and Hi‐C reads. The genome size, contig N50, and scaffold N50 measured 902.88, 7.60, and 69.28 Mb, respectively, for haplotype1, and 913.28, 7.20, and 71.53 Mb, respectively, for haplotype2. A total of 37,457 and 38,311 protein‐coding genes were predicted in haplotype1 and haplotype2, respectively. Homologous chromosomes in the Q. glauca genome had excellent gene pair collinearity. The number of R‐genes in Q. glauca was similar to most East Asian oaks but less than oak species from Europe and America. Abundant structural variation in the Q. glauca genome could contribute to environmental stress tolerance in Q. glauca. Sections Cyclobalanopsis and Cerris diverged in the Oligocene, in agreement with fossil records for section Cyclobalanopsis, which document its presence in East Asia since the early Miocene. The demographic dynamics of closely related oak species were largely similar. The high‐quality reference genome provided here for the most widespread species in section Cyclobalanopsis will serve as an essential genomic resource for evolutionary studies of key oak lineages while also supporting studies of interspecific introgression, local adaptation, and speciation in oaks.