bluuebunny/crossref_metadata_2025_split huggingface dataset:
Deep Transcriptomics Reveals Cell-Specific Isoforms of Pan-Neuronal Genes
Authors: Wolfe Zachery , Liska David , Norris Adam 
Published: May 2024

ABSTRACTProfiling gene expression in single neurons using single-cell RNA-Seq is a powerful method for understanding the molecular diversity of the nervous system. Profiling alternative splicing in single neurons using these methods is more challenging, however, due to low capture efficiency and sensitivity. As a result, we know much less about splicing patterns and regulation across neurons than we do about gene expression. Here we leverage unique attributes of theC. elegansnervous system to investigate deep cell-specific transcriptomes complete with biological replicates generated by the CeNGEN consortium, enabling high-confidence assessment of splicing across neuron types even for lowly-expressed genes. Global splicing maps reveal several striking observations, including pan-neuronal genes that harbor cell-specific splice variants, abundant differential intron retention across neuron types, and a single neuron highly enriched for upstream alternative 3’ splice sites. We develop an algorithm to identify unique cell-specific expression patterns and use it to discover both cell-specific isoforms and potential regulatory RNA binding proteins that establish these isoforms. Genetic interrogation of these RNA binding proteinsin vivoidentifies three distinct regulatory factors employed to establish unique splicing patterns in a single neuron. Finally, we develop a user-friendly platform for spatial transcriptomic visualization of these splicing patterns with single-neuron resolution.
Diagnostic accuracy of automated Lumipulse plasma pTau-217 in Alzheimer’s disease
Authors: Cecchetti Giordano , Agosta Federica , Rugarli Giulia , Spinelli Edoardo Gioele , Ghirelli Alma , Zavarella Matteo , Bottale Ilaria , Orlandi Francesca , Santangelo Roberto , Caso Francesca , Magnani Giuseppe , Filippi Massimo 
Published: May 2024

AbstractINTRODUCTIONConsiderable advancements have occurred in blood-based Alzheimer’s disease (AD) biomarkers, with automated assays emerging for clinical use. Demonstrating the reliability of these automated systems is crucial with upcoming AD therapies.METHODSThis cross-sectional study in a Memory Center enrolled 98 patients along the AD continuum or affected by other neurodegenerative disorders, stratified by CSF A/T status and clinical syndrome. Plasma pTau-217, pTau-181, and Aβ42/Aβ40 were measured using Lumipulse. Relationships with CSF and glomerular filtration rate (GFR) were explored. ROC analysis was conducted to assess diagnostic performance.RESULTSGFR effect was lowered by the use of ratios and pTau-217 correlation with CSF was strong. Plasma pTau-217 discriminated A+/T+ status with excellent accuracy in both dementia and mild cognitive impairment (AUC 0.93-0.97), outperforming pTau-181 and Aβ42/Aβ40. Cutoffs displayed high diagnostic performance.DISCUSSIONLumipulse automated pTau-217 and identified cutoffs exhibit excellent diagnostic accuracy for CSF A+/T+ status and clinical group detection, facilitating future clinical translation.
Dipole momenta and compositeness of the
τ
lepton at Belle II
Authors: Fabbrichesi M. , Marzola L. 
Published: May 2024

The large number of τ leptons available at the Belle II experiment makes it possible to study their properties and the extent of their compositeness. We propose a strategy that relies on three observables defined in terms of elements of the polarization density matrix of the produced τ pairs, which we obtain via quantum tomography. We find that these observables can explore values of the magnetic dipole moment down to 6.3×10−4, which is 2 orders of magnitude better than the current experimental limit, constrain the electromagnetic radius below 4.3×10−3  fm, and exclude an electric dipole moment larger than 1.7×10−17  e cm. The quoted limits are at the 95% confidence level (CL) and are obtained for a benchmark integrated luminosity of 1  ab−1 and a Monte Carlo estimate of the statistical sensitivity.

Published by the American Physical Society
2024
Native Two-Qubit Gates in Fixed-Coupling, Fixed-Frequency Transmons Beyond Cross-Resonance Interaction
Authors: Wei Ken Xuan , Lauer Isaac , Pritchett Emily , Shanks William , McKay David C. , Javadi-Abhari Ali 
Published: May 2024

Fixed-frequency superconducting qubits demonstrate remarkable success as platforms for stable and scalable quantum computing. Cross-resonance gates have been the workhorse of fixed-coupling, fixed-frequency superconducting processors, leveraging the entanglement generated by driving one qubit resonantly with a neighbor’s frequency to achieve high-fidelity, universal controlled- () gates. Here, we use on-resonant and off-resonant microwave drives to go beyond cross-resonance, realizing natively interesting two-qubit gates that are not equivalent to gates. In particular, we implement and benchmark native i, , iSWAP, and b gates; in fact, any SU(4) unitary can be achieved using these techniques. Furthermore, we apply these techniques for an efficient construction of the B gate: a perfect entangler from which any two-qubit gate can be reached in only two applications. We show that these native two-qubit gates are better than their counterparts compiled from cross-resonance gates. We elucidate the resonance conditions required to drive each two-qubit gate and provide a novel frame tracking technique to implement them in Qiskit.

Published by the American Physical Society
2024
An MCDM analysis of critical success criteria for medium and large construction projects in Australia and New Zealand
Authors: Kiani Mavi Neda , Brown Kerry , Fulford Richard Glenn , Goh Mark 
Published: May 2024

PurposeThe global construction industry has a history of poor project success, with evident and frequent overruns in cost and schedule. This industry is a highly interconnected and complex system in which the components, i.e. suppliers, contractors, end-users, and stakeholders, are delicately linked to each other, the community, and the environment. Therefore, defining and measuring project success can be challenging for sponsors, contractors, and the public. To address this issue, this study develops and analyzes a more comprehensive set of success criteria for medium and large construction projects.Design/methodology/approachAfter reviewing the existing literature, this study identified 19 success criteria for medium and large construction projects, which were categorized into five groups. The fuzzy decision-making trial and evaluation laboratory (fuzzy DEMATEL) method was used to gain further insight into the interrelationships between these categories and explain the cause-and-effect relationships among them. Next, this study applied the modified logarithmic least squares method to determine the importance weight of these criteria using the fuzzy analytic hierarchy process.Findings28 project managers working in the construction industries in Australia and New Zealand participated in this study. Results suggest that “project efficiency” and “impacts on the project team” are cause criteria that affect “business success,” “impacts on stakeholders,” and “impacts on end-users.” Effective risk management emerged as the most crucial criterion in project efficiency, while customer satisfaction and return on investment are top criteria in “impacts on end-users” and “business success.”Originality/valueAlthough numerous studies have been conducted on project success criteria, multicriteria analyses of success criteria are rare. This paper presents a comprehensive set of success criteria tailored to medium and large construction projects. The aim is to analyze their interrelationships and prioritize them thoroughly, which will aid practitioners in focusing on the most important criteria for achieving higher success rates.
Analyzing the drivers of the low-carbon construction supply chain based on an integrated DEMATEL–ANP approach
Authors: Liu Xingmin , Zhu Tongsheng , Xue Yutong , Huang Ziqiang , Le Yun 
Published: May 2024

PurposeCarbon reduction in the construction supply chain can critically affect the construction industry’s transition to an environmentally sustainable one. However, implementing carbon reduction in all parties is restricted because of the poor understanding of the drivers influencing the low-carbon construction supply chain (LCCSC). The purpose of this paper is to systematically identify the drivers of LCCSC, analyze their causality, and prioritize the importance of their management.Design/methodology/approachA decision-making analysis process was developed using an integrated decision-making trial and evaluation laboratory (DEMATEL)–analytical network process (ANP). First, the hierarchical drivers of the LCCSC were identified through a literature review. The DEMATEL method was subsequently applied to analyze the interactions between the drivers, including the direction and strength of impact. Finally, the ANP analysis was used to obtain the drivers’ weights; consequently, their priorities were established.FindingsVarious factors with complex interactions drive LCCSC. With respect to their influence relationships, incentive policy, regulatory policy, consumers’ low-carbon preference, market competition, supply chain performance, and managers’ low-carbon awareness have more significant center degrees and are cause drivers. Their strong correlations and influence on other drivers should be noticed. In terms of weights in the driver system, regulatory policy, consumers’ low-carbon preference, supply chain performance, and incentive policy are the key drivers of LCCSC and require primary attention. Other drivers, such as supply chain collaboration, employee motivation, and public participation, play a minor driving role with less management priority.Originality/valueDespite some contributing studies with localized perspectives, the systematic analysis of LCCSC drivers is limited, especially considering their intricate interactions. This paper establishes the LCCSC driver system, explores the influence relationships among the drivers, and determines the key drivers. Hence, it contributes to the sustainable construction supply chain domain by enabling decision-makers and practitioners to systematically understand the drivers of LCCSC and gain management implications on priority issues with limited resources.
Drivers of geographical indication food supply chain performance: a B2B network perspective
Authors: Polater Abdüssamet , Yumurtacı Hüseyinoğlu Işık Özge , Kingshott Russel PJ , Schepis Daniel 
Published: May 2024

Purpose
This study aims to examine the role relational dynamics, grounded in the theories of social exchange and social capital, play within the context of geographic indication (GI) food supply chain network (FSCN) performance.

Design/methodology/approach
A total of 30 qualitative interviews were undertaken with key informant stakeholders across a variety of organizations within Turkish GI FSCNs. An open, axial and selective grounded theory coding process was used for the analysis, teasing out critical themes that underpinned the conceptual framework.

Findings
The findings identify the formal and informal mechanisms which govern GI FSCNs. These two forms of governance mechanisms influence network performance, which was found to comprise logistics, production, business and socio-economic performance dimensions. Transparency, GI traceability, trust and psychological contract violations were found to mediate the link between governance and network performance outcomes.

Originality/value
To the best of the authors’ knowledge, this study is the first to explore GI FSCNs from the perspective of relationship marketing and through the lens of social exchange and social capital theory. Accordingly, both academics and practitioners can benefit from the study, as it unveils relevant relational factors underpinning such networks.
Characterizing the defense industry for risk management: a systems approach
Authors: Antai Imoh , Hellberg Roland 
Published: May 2024

PurposeManagement and risk techniques within industries have been studied from various disciplines in nondefense-affiliated industries. Given the assumption that these techniques, strategies and mitigations used in one industry apply to other similar industries, this paper examines the defense industry for risk assessment. We characterize interactions for onward application to risk identification in the defense industry.Design/methodology/approachThis research employs a systems theory approach to the characterization of industry interactions, using three dimensions including environment, boundaries and relationships. It develops a framework for identifying relationship types within system-of-systems (SoS) environments by analyzing the features of interactions that occur in such environments.FindingsThe study’s findings show that different systems environments within the defense industry SoS exhibit different interaction characteristics and hence display different relationship patterns, which can indicate potential vulnerabilities.Research limitations/implicationsBy employing interaction as a means for evaluating potential risks, this research emphasizes the role played by relationship factors in reducing perceived risks and simultaneously increasing trust.Originality/valueThis paper intends to develop an initial snapshot of the relationship status of the Swedish defense industry in light of the global consolidation in this industry, which is a relevant contextual contribution.
The impact of financial analysts’ spirituality on their socially responsible investing decisions: a mediating role of social consciousness
Authors: Shahid Ahmad Usman , Tufail Hafiza Sobia , Baig Waqas , Ismail Aimen , Shahid Jawad 
Published: May 2024

Purpose
This paper aims to contribute to the social aspect of corporate social responsibility literature by examining the influence of financial analysts’ spirituality on their socially responsible investing (SRI) decisions relating to a profitable organization, which is alleged by the media to employ children as laborers in hazardous works in Pakistan. This study also investigates whether analysts’ social consciousness mediates between their spirituality and investing decisions.

Design/methodology/approach
A scenario-based survey was administered to 124 financial analysts at leading financial institutions in Pakistan. Data were analyzed using regression, analysis of variance and mediation analysis on SPSS 26.

Findings
The findings demonstrate that financial analysts’ spirituality negatively influences their SRI decisions to invest in a profitable organization, which is alleged to employ children in hazardous work that may harm them physically and psychologically. The findings also express that analysts’ social consciousness intervenes in the association between analysts’ spirituality and SRI decisions.

Practical implications
The findings of this study may interest regulators, multinational firms and researchers in recognizing the importance of individuals’ values for increasing socially responsible investments and addressing social issues such as the exploitation of children.

Social implications
This study encourages firms to recognize the importance of spiritual and socially conscious corporate conviction while designing strategies and policies. For example, the financial industry may incorporate fundamental personal values such as stewardship, dignity and fairness into its investment plans.

Originality/value
This study provides rigorous insights and contributes to contemporary studies by providing empirical evidence that individuals’ intrinsic values and consciousness drive their judgments.
Utilizing in-nozzle impregnation for enhancing the strength of recycled PET-derived 3D printed continuous banana fiber reinforced bio-composites
Authors: Ror Ch Kapil , Mishra Vishal , Negi Sushant , M. Vinyas 
Published: May 2024

Purpose
This study aims to evaluate the potential of using the in-nozzle impregnation approach to reuse recycled PET (RPET) to develop continuous banana fiber (CBF) reinforced bio-composites. The mechanical properties and fracture morphology behavior are evaluated to establish the relationships between layer spacing–microstructural characteristics–mechanical properties of CBF/RPET composite.

Design/methodology/approach
This study uses RPET filament developed from post-consumer PET bottles and CBF extracted from agricultural waste banana sap. RPET serves as the matrix material, while CBF acts as the reinforcement. The test specimens were fabricated using a customized fused deposition modeling 3D printer. In this process, customized 3D printer heads were used, which have a unique capability to extrude and deposit print fibers consisting of a CBF core coated with an RPET matrix. The tensile and flexural samples were 3D printed at varying layer spacing.

Findings
The Young’s modulus (E), yield strength (sy) and ultimate tensile strength of the CBF/RPET sample fabricated with 0.7 mm layer spacing are 1.9 times, 1.25 times and 1.8 times greater than neat RPET, respectively. Similarly, the flexural test results showed that the flexural strength of the CBF/RPET sample fabricated at 0.6 mm layer spacing was 47.52 ± 2.00 MPa, which was far greater than the flexural strength of the neat RPET sample (25.12 ± 1.94 MPa).

Social implications
This study holds significant social implications highlighting the growing environmental sustainability and plastic waste recycling concerns. The use of recycled PET material to develop 3D-printed sustainable structures may reduce resource consumption and encourages responsible production practices.

Originality/value
The key innovation lies in the concept of in-nozzle impregnation approach, where RPET is reinforced with CBF to develop a sustainable composite structure. CBF reinforcement has made RPET a superior, sustainable, environmentally friendly material that can reduce the reliance on virgin plastic material for 3D printing.
The Bitcoin‐agricultural commodities nexus: Fresh insight from COVID‐19 and 2022 Russia–Ukraine war
Authors: Zeng Hongjun , Ahmed Abdullahi D. , Lu Ran 
Published: May 2024

AbstractThis paper investigates the volatility connectedness and dynamic time–frequency relationship between Bitcoin (BTC) and 15 major agricultural commodity markets during the COVID‐19 and 2022 Russia–Ukraine war periods. We employ the TVP‐VAR‐based extended joint connectedness method, minimum connectedness investment portfolio, and wavelet coherence (WC) method. The results indicate that the sudden outbreaks of the two crises brought about increased volatility connectedness between BTC and agricultural commodity markets. Throughout the entire sample period, BTC remained a net transmitter of volatility. Moreover, in terms of the total connectedness index (TCI), the overall volatility correlation surged rapidly after the outbreak of COVID‐19 and the 2022 Russia–Ukraine war. The portfolio results demonstrated that BTC exhibited a low correlation with the agricultural commodity markets, suggesting diversification potential. Additionally, only Feeder Cattle served as an effective hedging asset for BTC throughout all periods. The WC analysis confirmed that during the COVID‐19 period and the 2022 Russia–Ukraine war, most of the linkages were primarily concentrated at medium‐ to long‐term frequencies. Our analysis will contribute to a deeper understanding of the interconnection between these markets, enabling market participants to consider risk mitigation measures and support portfolio diversification when formulating policies and regulations involving relevant markets in the future.
An expanded phylogeny of the genus Pseudamnicola (Gastropoda; Truncatelloidea; Hydrobiidae) across the Mediterranean Basin
Authors: LAMPRI Paraskevi Niki , RADEA Canella , PARMAKELIS Aristeidis 
Published: May 2024

AbstractThe genus Pseudamnicola Paulucci, 1878, is commonly found throughout the Mediterranean region. The genus displays considerable levels of endemism, accompanied by notable systematic and taxonomic ambiguity. However, the application of molecular data has proven highly effective in clarifying taxonomy and unveiling the diversity of cryptic species within the genus. Therefore, we employed all cytochrome c oxidase subunit I sequence data available and generated new ones from Greece to infer the phylogeny of the genus throughout its Mediterranean range and estimate the divergence times as well as the ancestral area of diversification. Our phylogenetic and time‐estimate analyses demonstrate that with 36 to 38 extant Pseudamnicola species and genetic divergences across species ranging from 0.5% to 11.9% on average, the genus underwent relatively recent diversification during late Miocene (6.53 Ma), and the primary speciation events occurred during Plio‐Pleistocene. The Italian Peninsula and Islands and the Ionian Drainages as defined by the Freshwater Ecoregions of the World are the ancestral regions of the genus following two different dispersal routes. Our study contributes to deepening our understanding of Pseudamnicola phylogeny by using data from throughout its range for the first time. This phylogeny provides evidence and confirms previous studies that relatively recent habitat isolation, followed by founder and dispersal events, has been one of the primary reasons for the evolution of the genus Pseudamnicola in the Mediterranean basin.
Effectiveness and safety of vedolizumab and infliximab in biologic‐naïve patients with moderate‐to‐severe ulcerative colitis: A multicenter, retrospective cohort study
Authors: Meng Rui Ping , Huang Bao Bao , Wei Yan Ling , Lyu Lin , Yang Huan , Liu Cheng , Zhou Hong Li , Liao Xi Ping , Zhou Jian Yun , Xie Xia 
Published: May 2024

ObjectivesWe conducted this multicenter, retrospective cohort study aiming to evaluate the effectiveness and safety of vedolizumab (VDZ) and infliximab (IFX) in biologic‐naïve patients with moderate‐to‐severe ulcerative colitis (UC).MethodsBiologic‐naïve patients with moderate‐to‐severe UC who were treated with IFX or VDZ for at least 14 weeks at three tertiary hospitals in southwest China between January 2021 and January 2023 were retrospectively included. Efficacy of the biologics was evaluated based on the steroid‐free clinical remission rate, clinical remission rate, and mucosal healing rate at Weeks 14 and 52. Adverse events related to biologic use were recorded.ResultsAltogether 122 biologic‐naïve patients with moderate‐to‐severe UC were included. No marked differences in the steroid‐free clinical remission rate and clinical remission rate were observed between the two groups at Week 14 or Week 52 (P > 0.05). The VDZ group exhibited a higher mucosal healing rate at Week 14 compared to the IFX group (33.3% vs 16.9%, P = 0.036), while that at Week 52 did not differ between the two groups (65.6% vs 47.1%, P = 0.098). There was no statistically significant difference in the rate of adverse events between the two groups (P = 0.071).ConclusionVDZ and IFX showed comparable clinical efficacy and safety profiles and can be used as viable first‐line therapeutic options for biologic‐naïve patients with moderate‐to‐severe UC.