bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cost-effective DNA Storage System with DNA Movable Type
Authors: Wang Chenyang , Wei Di , Wei Zheng , Yang Dongxin , Xing Jing , Wang Yunze , Wang Xiaotong , Wang Pei , Ma Guannan , Zhang Xinru , Li Haolan , Tang Chuan , Hou Pengfei , Wang Jie , Gao Renjun , Xie Guiqiu , Li Cuidan , Ju Yingjiao , Wang Peihan , Yue Liya , Zhao Yongliang , Sheng Yongjie , Xiao Jingfa , Niu Haitao , Xu Sihong , Yang Huaiyi , Liu Di , Duan Bo , Bu Dongbo , Tan Guangming , Chen Fei 
Published: July 2024

AbstractIn the face of exponential data growth, DNA-based storage offers a promising solution for preserving big-data. However, most existing DNA storage methods, akin to traditional block printing, require costly chemical synthesis for each individual data file, adopting a sequential, one-time-use synthesis approach. To overcome these limitations, we introduce a novel, cost-effective "DNA-Movable-Type Storage" system, inspired by movable type printing. This system utilizes pre-fabricated DNA movable types-short, double-stranded DNA oligonucleotides encoding specific payload, address, and checksum data. These DNA-MTs are enzymatically ligated/assembled into cohesive sequences, termed "DNA movable type blocks", streamlining the assembly process with the automated BISHENG-1 DNA-MT inkjet printer. Using BISHENG-1, we successfully printed, assembled, stored and accurately retrieved 43.7 KB of data files in diverse formats (text, image, audio, and video)in vitroandin vivo, using only 350 DNA-MTs. Notably, each DNA-MT, synthesized once (2OD), can be used up to 10,000 times, reducing costs to 122 $/MB-outperforming existing DNA storage methods. This innovation circumvents the need to synthesize entire DNA sequences encoding files from scratch, offering significant cost and efficiency advantages. Furthermore, it has considerable untapped potential to advance a robust DNA storage system, better meeting the extensive data storage demands of the big-data era.
Full characterization of unresolved structural variation through long-read sequencing and optical genome mapping
Authors: De Clercq Griet , Vantomme Lies , Dewaele Barbara , Callewaert Bert , Vanakker Olivier , Janssens Sandra , Loeys Bart , Strazisar Mojca , Coster Wouter De , Vermeesch Joris Robert , Dheedene Annelies , Menten Björn 
Published: July 2024

AbstractStructural variants (SVs) are important contributors to human disease. Their characterization remains however difficult due to their size and association with repetitive regions. Long-read sequencing (LRS) and optical genome mapping (OGM) can aid as their molecules span multiple kilobases and capture SVs in full. In this study, we selected six individuals who presented with unresolved SVs. We applied LRS onto all individuals and OGM to a subset of three complex cases. LRS detected and fully resolved the interrogated SV in all samples. This enabled a precise molecular diagnosis in two individuals. Overall, LRS identified 100% of the junctions at single-basepair level, providing valuable insights into their formation mechanisms without need for additional data sources. Application of OGM added straighaorward variant phasing, aiding in the unravelment of complex rearrangements. These results highlight the potential of LRS and OGM as follow-up molecular tests for complete SV characterization. We show that they can assess clinically relevant structural variation at unprecedented resolution. Additionally, they detect (complex) cryptic rearrangements missed by conventional methods. This ultimately leads to an increased diagnostic yield, emphasizing their added benefit in a diagnostic sehng. To aid their rapid adoption, we provide detailed laboratory and bioinformatics workflows in this manuscript.
Interpretable Machine Learning for Predicting Multiple Sclerosis Conversion from Clinically Isolated Syndrome
Authors: Daniel Eden Caroline , Tirunagari Santosh , Batth Karan , Windridge David , Balla Yashaswini 
Published: July 2024

AbstractBackgroundMachine learning (ML) prediction of clinically isolated syndrome (CIS) conversion to multiple sclerosis (MS) could be used as a remote, preliminary tool by clinicians to identify high-risk patients that would benefit from early treatment.ObjectiveThis study evaluates ML models to predict CIS to MS conversion and identifies key predictors.MethodsFive supervised learning techniques (Naïve Bayes, Logistic Regression, Decision Trees, Random Forests and Support Vector Machines) were applied to clinical data from 138 Lithuanian and 273 Mexican CIS patients. Seven different feature combinations were evaluated to determine the most effective models and predictors.ResultsKey predictors common to both datasets included sex, presence of oligoclonal bands in CSF, MRI spinal lesions, abnormal visual evoked potentials and brainstem auditory evoked potentials. The Lithuanian dataset confirmed predictors identified by previous clinical research, while the Mexican dataset partially validated them. The highest F1 score of 1.0 was achieved using Random Forests on all features for the Mexican dataset and Logistic Regression with SMOTE Upsampling on all features for the Lithuanian dataset.ConclusionApplying the identified high-performing ML models to the CIS patient datasets shows potential in assisting clinicians to identify high-risk patients.
On the Importance of Preserving Active Induced-Fit Conformations during Enzyme-Catalyzed Reactions: a Case Study of CARNMT1
Authors: Deng Hao , Rahman Adua , Qian Ping , Guo Hong 
Published: July 2024

AbstractConsiderable efforts have been made to understand how precise orientations of catalytic groups/substrate in enzyme-substrate complexes are generated for catalysis, leading to the proposals of lock-and-key, induced-fit and conformational selection models as well as their extensions. By contrast, little attention has been paid to the importance of preserving such active conformations during enzyme-catalyzed reactions to allow catalytic residues to exert their effects during catalysis, including transition state stabilization. Here MD and free energy simulations based on QM/MM potentials are carried out for CARNMT1, a histidine methyltransferase, to determine the importance and requirements for preservation of catalytic competent induced-fit conformations during methylation. We examine interplay of certain anchor residues that occupy similar positions before and after substrate binding (Asp316, Tyr386 and Tyr396) with the latch residue (His347) that is responsible for generating the active induced-fit conformation. For wild type, the catalytic competent orientations can be preserved well after the reaction passes TS allowing the active site residues to exert the effects. For the Tyr386Ala and Tyr396Asp mutants, the induced-fit conformation can be formed in the mutant-substrate complex but collapses in the early stage of reaction well before it can reach TS. Such pre-mature collapse of the active conformations as a result of the mutations is likely to be responsible for the significant reduction of catalytic efficiency. His347Phe also fails to preserve the active induced-fit conformation, and the active induced-fit conformation cannot be formed in the Asp316Ala-substrate complex. The results demonstrate the importance of preserving the active induced-fit conformation during enzyme-catalyzed reaction. They also show that generation of active induced-fit conformations of enzyme-substrate complexes may be a necessary but not sufficient condition for efficient catalysis. Interestingly, the catalytic efficiency seems to be correlated with the ability of the enzyme/mutant to preserve the active induced-fit conformation during catalysis.
Weyl superconductivity and quasiperiodic Majorana arcs in quasicrystals
Authors: Hori Masahiro , Okugawa Ryo , Tanaka K. , Tohyama Takami 
Published: July 2024

Weyl superconductivity is a topological phase in three-dimensional crystals in which the Weyl equation describes quasiparticle excitation near band-touching points in momentum space called Weyl nodes. For quasicrystals which lack translational symmetry, a theory of Weyl superconductivity has not been established, in spite of recent extensive studies on quasicrystalline topological phases. Here, we demonstrate the occurrence of quasicrystalline Weyl superconductivity by extending the definition of Weyl superconductivity to periodically stacked, two-dimensional superconducting quasicrystals. We identify quasicrystalline Weyl nodes—topologically protected point nodes in one-dimensional momentum space corresponding to the stacking direction—in terms of a topological invariant given by a change in the Bott index in quasicrystalline layers. We find that these Weyl nodes exist in pairs and that Majorana zero-energy modes protected by the nonzero Bott index between a pair of quasicrystalline Weyl nodes appear on surfaces. These Majorana zero modes form an infinite number of arcs in momentum space, densely and quasiperiodically distributed as a function of momentum in the direction of surfaces within each quasicrystalline layer. In Ammann-Beenker (Penrose) quasicrystals, the quasiperiodicity of Majorana arcs is governed by the silver (golden) ratio associated with the quasicrystalline structure.

Published by the American Physical Society
2024
Designing and building in a fragile context: the recovery of the primary school in Wadi Abu Hindi, Palestine
Authors: Battistella Alessio Dionigi , Montanari Riccardo 
Published: July 2024

PurposeThe recent convergence between architecture and cultural anthropology has laid the foundations for a methodological approach that is attentive to both local specificities and the role of design. Starting from the analysis of the recovery of the primary school in the Bedouin camp of Wadi Abu Hindi in Palestine, the article intends to outline the role of the architect as a participating observer. It highlights how acting directly in the context of intervention guarantees a more effective response to local needs within spaces marked by strong conditions of inequality and marginality.Design/methodology/approachThe methodology employed consists in using the ethnographic approach to collect qualitative data. The choice of this methodology stems from the intention to directly involve local actors in the design and execution phases.FindingsThe role of the architect as a participating observer within critical contexts shows how the activity of design is not simply limited to designing solutions but consists above all in the anticipation of all the critical aspects that may emerge in the practical execution of the works. The active participation and the adoption of a holistic outlook allow to find targeted solutions and ensure careful listening to the local needs.Originality/valueThe originality of this article consists in using an interdisciplinary approach between architecture and cultural anthropology, considering the architect as a participant observer.
Tracking the size of the estimation window in time-series data
Authors: Kwon Tae Yeon 
Published: July 2024

PurposeThis paper introduces a novel method, Variance Rule-based Window Size Tracking (VR-WT), for deriving a sequence of estimation window sizes. This approach not only identifies structural change points but also ascertains the optimal size of the estimation window. VR-WT is designed to achieve accurate model estimation and is versatile enough to be applied across a range of models in various disciplines.Design/methodology/approachThis paper proposes a new method named Variance Rule-based Window size Tracking (VR-WT), which derives a sequence of estimation window sizes. The concept of VR-WT is inspired by the Potential Scale Reduction Factor (PSRF), a tool used to evaluate the convergence and stationarity of MCMC.FindingsMonte Carlo simulation study demonstrates that VR-WT accurately detects structural change points and select appropriate window sizes. The VR-WT is essential in applications where accurate estimation of model parameters and inference about their value, sign, and significance are critical. The VR-WT has also helped us understand shifts in parameter-based inference, ensuring stability across periods and highlighting how the timing and impact of market shocks vary across fields and datasets.Originality/valueThe first distinction of the VR-WT lies in its purpose and methodological differences. The VR-WT focuses on precise parameter estimation. By dynamically tracking window sizes, VR-WT selects flexible window sizes and enables the visualization of structural changes. The second distinction of VR-WT lies in its broad applicability and versatility. We conducted empirical applications across three fields of study: CAPM; interdependence analysis between global stock markets; and the study of time-dependent energy prices.
Unveiling the financial effect of ESG disclosure on financial performance in India: climate-sensitive corporates’ perspective
Authors: Maji Santi Gopal , Lohia Prachi 
Published: July 2024

Purpose
The study aims to examine the impact of environmental, social and governance (ESG) disclosure on financial performance by considering the moderating impact of less and high climate-sensitive industry firms.

Design/methodology/approach
The present study is a panel data approach with a sample of the top 100 Bombay Stock Exchange (BSE)-listed non-financial firms covering the years 2019–2022. Appropriate panel data models have been used to investigate the association between ESG disclosure and financial performance, followed by an instrumental variable regression model to address endogeneity. Further, the panel data interaction effect model has been used to examine the moderating impact.

Findings
The results favour the value-enhancing function of ESG disclosure. Of the three ESG components, only the G factor affects firm performance significantly. The interaction effect model suggests that the link between ESG disclosure and financial performance is moderated by industry. However, this effect is greater for less sensitive industries. The results are robust to endogeneity.

Originality/value
The study’s novelty lies in the use of the integrated “Stakeholder Capitalism Metrics”, which has not been previously used in any study to assess the ESG disclosure of corporates. To further distinguish itself, the moderating impact of high and less climate-sensitive industry firms on the ESG-financial performance link, which remains unexplored in the fast-emerging nation of India, is looked into.
Portfolio-based assessment feedback and development of pedagogical skills among instructors and pre-service teachers
Authors: Kihwele Jimmy Ezekiel , Mwamakula Edward Noel , Mtandi Raiza 
Published: July 2024

PurposeAssessment feedback is vital in identifying learning gaps, correcting misconceptions and adjusting teaching strategies. In many teacher training programs, instructors and pre-service teachers rarely reflect on assessment feedback; hence, it does not inform teaching and learning with constructive remedies. Studies have indicated the role of e-portfolios in elevating pedagogical skills; however, this does not apply well in contexts where teachers hardly access the internet. The study explored printed-based portfolio use for AaL and AfL in developing pedagogical skills among pre-service teachers.Design/methodology/approachUsing an exploratory case study design in a class of 120 students, the study interviewed 14 respondents, twelve of whom were pre-service teachers and two instructors. Further, the study thoroughly reviewed 120 students’ portfolios to obtain adequate information. Researchers employed the content analysis method for data analysis.FindingsFindings indicate that instructors and pre-service teachers underwent the learning process, un-learning and re-learning appropriate pedagogical skills by reflecting on the assessment feedback on their portfolios. Also, peer review enhanced the broadening of their perspectives regarding students and pedagogical approaches. Like instructors, the process enhanced the adjustment of teaching strategies to suit learners’ diverse needs.Originality/valuePortfolio-based assessment feedback and development of pedagogical skills is an original work based on actual teaching practices. Instructors integrated the portfolio to enhance reflective practices, i.e. self-reflection, inquiry and self-regulated learning for pre-service teachers to adjust their pedagogical skills.
Factors influencing luxury service brand extension in a developing country
Authors: Ahn Jiseon , Gao Meiling 
Published: July 2024

Purpose
Despite the prevalence of luxury brand extension in the service industry, customers tend to be skeptical of the value of the extended brand. This study aims to investigate whether a parent luxury service brand significantly alters customers’ predicted quality, identity and attitude toward the extended brand.

Design/methodology/approach
This study uses partial least squares structural equation modeling to examine the proposed hypotheses in a developing country.

Findings
The results show that the parent brand’s brand distinctiveness positively and significantly signals the identity and quality of the extended brand. The model also identifies the mediating effects of quality as it signals the relationship between customers’ perception of the parent brand and attitude toward the extended service brand. As expected, as the quality of the extended brand improves, so does attitude toward the extended hotel brand. By contrast, the perceived identity of the extended brand does not significantly increase support for a positive attitude toward the extended brand.

Originality/value
This study contributes to the existing consumer marketing literature by suggesting future research directions and brand extension strategies for luxury hotel brand companies in developing countries.
Social unrest and bank liquidity creation: evidence from MENA banks
Authors: Ghosh Saibal 
Published: July 2024

Purpose
A host of studies have assessed the determinants of bank liquidity creation, highlighting the relevance of macroeconomic and microeconomic factors. However, whether and how social unrest impacts bank liquidity creation remains a moot issue. To inform this debate, this study aims to exploit bank-level data for Middle East and North Africa (MENA) countries covering the period 2010–2019 to assess the interlinkage between social unrest and bank liquidity creation.

Design/methodology/approach
In view of the staggered inception of social unrest across MENA countries, the author uses a difference-in-differences specification to tease out the causal impact.

Findings
The findings reveal that the Arab Spring improves liquidity creation after onboarding after confounding factors. This impact differs across conventional and Islamic banks and differs across asset side (market) and liability side (funding) liquidity creation. The evidence also underscores the positive real effects of such liquidity creation on real economic output.

Originality/value
This is one of the early studies exploiting a large sample of MENA banks to examine this issue in a systematic manner.
The research landscape on generative artificial intelligence: a bibliometric analysis of transformer-based models
Authors: Marchena Sekli Giulio 
Published: July 2024

PurposeThe aim of this study is to offer valuable insights to businesses and facilitate better understanding on transformer-based models (TBMs), which are among the widely employed generative artificial intelligence (GAI) models, garnering substantial attention due to their ability to process and generate complex data.Design/methodology/approachExisting studies on TBMs tend to be limited in scope, either focusing on specific fields or being highly technical. To bridge this gap, this study conducts robust bibliometric analysis to explore the trends across journals, authors, affiliations, countries and research trajectories using science mapping techniques – co-citation, co-words and strategic diagram analysis.FindingsIdentified research gaps encompass the evolution of new closed and open-source TBMs; limited exploration across industries like education and disciplines like marketing; a lack of in-depth exploration on TBMs' adoption in the health sector; scarcity of research on TBMs' ethical considerations and potential TBMs' performance research in diverse applications, like image processing.Originality/valueThe study offers an updated TBMs landscape and proposes a theoretical framework for TBMs' adoption in organizations. Implications for managers and researchers along with suggested research questions to guide future investigations are provided.
Exploring graduate students’ perceived helplessness, self-efficacy, social support and satisfaction
Authors: Yoo Hyeon Jean , Marshall David T. 
Published: July 2024

Purpose
This study aims to understand the role of seeking social support in the relationship between perceived helplessness, self-efficacy and satisfaction among graduate students during the pandemic, drawing upon the transactional model of stress and coping. Graduate students are composed of nontraditional students who are considered significantly different from traditional students. Nonetheless, research has yet to explore how seeking social support contributed to graduate students’ mental health during the COVID-19 pandemic, especially to the relationship between feelings of helplessness and positive mental health. More specifically, this study examined how seeking social support from others mediates the relationship between perceived helplessness and self-efficacy, academic satisfaction and general life satisfaction among graduate students.

Design/methodology/approach
Using quantitative data collected from 545 graduate students at a large, research-intensive university in the USA, structural equation modeling was used to test our conceptual model.

Findings
The results of this study indicate that perceived helplessness has a direct and adverse relationship with self-efficacy. Social support mediates the negative relationship between the two variables, buffering the negative psychological experience students feel and leading to higher levels of self-efficacy and two domains of satisfaction. Self-efficacy is positively associated with academic and general life satisfaction among graduate students. Academic satisfaction positively predicts general life satisfaction, as well. A conceptual model was developed, yielding acceptable goodness-of-fit statistics.

Originality/value
This study adds to the postsecondary education literature and contributes to the larger discourse identifying the positive role of social support in supporting graduate students to cope with psychological challenges that may be exacerbated under stressful conditions.
Successful treatment of Darier's disease with apremilast and review of reported cases
Authors: Muto Yusuke , Kinjyo Kengo , Asano Yoshihide 
Published: July 2024

AbstractDarier's disease (DD) is a rare autosomal dominant genetic disorder caused by a mutation in ATP2A2, which encodes calcium (Ca2+) ATPase pumps in the endoplasmic reticulum. In this report, we present the first documented case in Japan successfully treated with apremilast. An 18‐year‐old female presented with red or brown hyperkeratotic papules and plaques on her head, neck, and chest. Histopathological examination revealed a hyperkeratotic, acanthotic epidermis, along with suprabasal acantholysis characterized by corps ronds and grains. Exome sequencing of DNA from peripheral blood mononuclear cells identified a missense mutation in ATP2A2. Based on the above results, we diagnosed her with DD despite the absence of a family history. Given the effectiveness of apremilast, a phosphodiesterase 4 inhibitor, in treating Hailey‐Hailey disease (HHD), a genetically related disorder involving ATPases in epidermal calcium channels, we opted for apremilast therapy. Eight weeks post‐initiation, significant improvement was observed in the patient's skin lesions on the head, neck, and chest. In this paper, we discuss the successful treatment of DD and HHD cases with apremilast, providing insights into its therapeutic potential, and offer a comprehensive review.