bluuebunny/crossref_metadata_2025_split huggingface dataset:
Quantitative and radiological assessment of post-cardiac arrest comatose patients with diffusion-weighted magnetic resonance imaging
Authors: Van Roy Sam , Hsu Liangge , Ho Joseph , Scirica Benjamin , Fischer David , Snider Samuel , Lee Jong Woo 
Published: November 2023

AbstractBackgroundAlthough MR imaging, particularly diffusion weighted imaging, has increasingly been utilized as part of a multimodal approach to prognostication in patients comatose after cardiac arrest, the performance of quantitative analysis of apparent diffusion coefficient (ADC) maps, as compared to standard radiologist impression, has not been well characterized. This retrospective study evaluated quantitative ADC analysis to the identification of anoxic brain injury by diffusion abnormalities on standard clinical MRI reports.MethodsThe cohort included 204 previously described comatose patient post-cardiac arrest. Clinical outcome was assessed by 1) 3-6 month cerebral performance category (CPC); 2) Coma recovery to following commands. Radiological evaluation was obtained from clinical reports and characterized as diffuse, cortex only, deep gray matter structures only, or no injury. Quantitative analysis of ADC maps were obtained in specific regions of interest (ROI), whole cortex, and whole brain. A subgroup analysis of 172 was performed after eliminating images with artifacts and pre-existing lesions.ResultsRadiological assessment outperformed quantitative assessment over all evaluated regions (AUC 0.80 for radiological interpretation, 0.70 for occipital region, the best-performing ROI, p=0.11); agreement was substantial for all regions. Radiological assessment still outperformed quantitative analysis in the subgroup analysis, though by smaller margins, and with substantial to near-perfect agreement. When assessing for coma recovery only, the difference was no longer significant (AUC 0.83 vs 0.81, p=0.70).DiscussionAlthough quantitative analysis eliminates interrater differences in the interpretation of abnormal diffusion imaging and avoids bias from other prediction modalities, clinical radiologist interpretation has a higher predictive value for outcome. This difference appears to be driven by poor scan quality, foreign body artifacts, and pre-existing stroke and white matter disease. Quantitative analysis is comparable to clinical interpretation after eliminating such scans. Further research is required into improving quantitative imaging techniques to account for such variability.
Associations with spontaneous and indicated preterm birth in a densely phenotyped EHR cohort
Authors: Costello Jean M. , Takasuka Hannah , Roger Jacquelyn , Yin Ophelia , Tang Alice , Oskotsky Tomiko , Sirota Marina , Capra John A. 
Published: November 2023

AbstractBackgroundPreterm birth (PTB) is the leading cause of infant mortality and follows multiple biological pathways, many of which are poorly understood. Some PTBs result from medically indicated labor following complications from hypertension and/or diabetes, while many others are spontaneous with unknown causes. Previously, investigation of potential risk factors has been limited by lack of data on maternal medical history and the difficulty of classifying PTBs as indicated or spontaneous. Here, we leverage electronic health record (EHR) data (patient health information including demographics, diagnoses, and medications) and a supplemental curated pregnancy database to overcome these limitations. Novel associations may provide new insight into the pathophysiology of PTB as well as help identify individuals who would be at risk of PTB.MethodsWe quantified associations between maternal diagnoses and preterm birth using logistic regression controlling for maternal age and socioeconomic factors within a University of California, San Francisco (UCSF), EHR cohort with 10,643 births (nterm= 9692,nspontaneous_preterm= 449,nindicated_preterm= 418) and maternal pre-conception diagnosis phenotypes derived from International Classification of Diseases (ICD) 9 and 10 codes.ResultsEighteen conditions significantly and robustly (False Discovery Rate (FDR)<0.05) associated with PTBs compared to term. We discovered known (hypertension, diabetes, and chronic kidney disease) and less established (blood, cardiac, gynecological, and liver conditions) associations. Type 1 diabetes was the most significant overall association (adjusted p = 1.6×10-14, adjusted OR = 7 (95% CI 5, 12)), and the odds ratios for the significant phenotypes ranged from 3 to 13. We further carried out analysis stratified by spontaneous vs. indicated PTB. No phenotypes significantly associated with spontaneous PTB; however, the results for indicated PTB largely recapitulated the phenotype associations with all PTBs.ConclusionsOur study underscores the limitations of approaches that combine indicated and spontaneous births together. When combined, significant associations were almost entirely driven by indicated PTBs, although our spontaneous and indicated groups were of a similar size. Investigating the spontaneous population has the potential to reveal new pathways and understanding of the heterogeneity of PTB.
Encapsulation of AAVs into protein vault nanoparticles as a novel solution to gene therapy’s neutralizing antibody problem
Authors: Collins Logan Thrasher , Beatty Wandy , Moyo Buhle , Alves-Bezerra Michele , Hurley Ayrea , Lou Qing , Zhou Z. Hong , Lagor William , Bao Gang , Ponnazhagan Selvarangan , McNally Randall , Rome Leonard H. , Curiel David T. 
Published: November 2023

AbstractAlthough adeno-associated virus (AAV) has enjoyed enormous success as a delivery modality for gene therapy, it continues to suffer from the high prevalence of preexisting neutralizing antibodies in human populations, limiting who can receive potentially life-saving treatments. In this regard, AAV therapies generally also must be administered as a single dose since neutralizing antibodies develop in patients who receive the virus. Strategies for circumventing these issues remain limited. As a novel solution, we employed SpyTag-SpyCatcher molecular glue technology to facilitate packaging of AAVs inside of recombinant protein vault nanoparticles. Vaults are endogenous particles produced by mammalian cells. We therefore hypothesized that they may shield packaged molecules from neutralizing antibodies. Vaults have previously been utilized to deliver drugs and proteins into cells, but our study represents the first time anyone has packaged an entire virus inside of a vault. We showed that our vaultAAV (VAAV) delivery vehicle transduces cells in the presence of anti-AAV neutralizing serum. VAAV is positioned as a new gene therapy delivery platform with potential to overcome the neutralizing antibody problem and perhaps even allow administration of multiple doses, expanding the scope of AAV treatments.
Filter-aided expansion proteomics
Authors: Dong Zhen , Zhu Yi , Zhang Fangfei , Wu Chunlong , Chen Ting , Chen Jiayi , Jiang Wenhao , Xiao Qi , Zheng Shu , Piatkevich Kiryl D. , Guo Tiannan 
Published: November 2023

AbstractIntegration of hydrogel-based tissue expansion and mass spectrometry-based proteomics enables high spatial resolution analysis of global protein expression in tissues. Here, we introduce a filter-aided tissue expansion proteomics (FAXP) method with optimized hydrogel preparation and treatment steps for spatial proteomics analysis of formalin-fixed paraffin-embedded (FFPE) specimens. Compared with our original ProteomEx method, FAXP, partially automated with robotics, exhibited 14.5-fold higher volumetric resolution, increased peptide yield leading to 250% more protein identifications, and 50% time consumption for sample preparation. We demonstrated its application in clinical colorectal tissue samples. We further integrated it with laser capture microdissection for proteomic analysis of subcellular organelles.
CRISPR-Cas12a exhibits metal-dependent specificity switching
Authors: Nguyen Giang T. , Schelling Michael A. , Buscher Kathryn A. , Sritharan Aneisha , Sashital Dipali G. 
Published: November 2023

AbstractCas12a is the immune effector of type V-A CRISPR-Cas systems and has been co-opted for genome editing and other biotechnology tools. The specificity of Cas12a has been the subject of extensive investigation both in vitro and in genome editing experiments. However, in vitro studies have often been performed at high magnesium ion concentrations that are inconsistent with the free Mg2+concentrations that would be present in cells. By profiling the specificity of Cas12a orthologs at a range of Mg2+concentrations, we find that Cas12a switches its specificity depending on metal ion concentration. Lowering Mg2+concentration decreases cleavage defects caused by seed mismatches, while increasing the defects caused by PAM-distal mismatches. We show that Cas12a can bind seed mutant targets more rapidly at low Mg2+concentrations, resulting in faster cleavage. In contrast, PAM-distal mismatches cause substantial defects in cleavage following formation of the Cas12a-target complex at low Mg2+concentrations. We observe differences in Cas12a specificity switching between three orthologs that results in variations in the routes of phage escape from Cas12a-mediated immunity. Overall, our results reveal the importance of physiological metal ion conditions on the specificity of Cas effectors that are used in different cellular environments.
Muscle contractile properties directly influence shared synaptic inputs to spinal motor neurons
Authors: Cabral Hélio V. , Inglis J Greig , Cudicio Alessandro , Cogliati Marta , Orizio Claudio , Yavuz Utku , Negro Francesco 
Published: November 2023

AbstractAlpha band oscillations in shared synaptic inputs to the alpha motor neuron pool can be considered an involuntary source of noise that hinders precise voluntary force production. This study investigated the impact of altering muscle length on the shared synaptic oscillations to spinal motor neurons, particularly in the physiological tremor band. Fourteen healthy individuals performed low-level dorsiflexion contractions at ankle joint angles of 90° and 130°, while high-density surface electromyography (HD-sEMG) was recorded from the tibialis anterior (TA). We decomposed the HDsEMG into motor units spike trains and calculated the motor units’ coherence within the delta (1-5 Hz), alpha (5-15 Hz) and beta (15-35 Hz) bands. Additionally, torque steadiness and torque spectral power within the tremor band was quantified. Results showed no significant differences in torque steadiness between 90° and 130°. In contrast, alpha band oscillations in both synaptic inputs and force output decreased as the length of the TA was moved from shorter (90°) to longer (130°), with no changes in delta and beta bands. In a second set of experiments, evoked twitches were recorded with the ankle joint at 70° and 130°, revealing longer twitch durations in the longer muscle lengthen condition compared to the shorter. These experimental results, supported by a simple computational simulation, suggest that increasing muscle length enhances the muscle’s low-pass filtering properties, influencing the oscillations generated by the Ia afferent feedback loop. Therefore, this study provides valuable insights into the interplay between muscle biomechanics and neural oscillations.
A qualitative exploration to understand consumers' meat preferences in an emerging market through the TPB model
Authors: Parida Rashmi Ranjan , Gadekar Mahesh 
Published: November 2023

PurposeThis paper investigates the factors and how they lead to meat choice decisions based on preferred slaughter practices. The literature has established the role of psychological factors and morality perception in meat choice decisions. However, it explores how consumers' behavioural intention is impacted towards alternative meat when consumer guilt is activated in different cultural settings.Design/methodology/approachThis study included in-depth interviews with consumers from India's emerging market due to its multicultural dimension and diverse religious beliefs about meat consumption. The authors conducted 17 interviews to explore antecedents towards non-halal meat choices.FindingsUtilizing the Theory of planned behaviour (TPB), this paper explores research gaps related to meat consumption preferences based on preferred slaughter practices in an emerging market context. The findings uncover and add to understanding meat preferences in varied cultural contexts that affect consumer choices. The authors advance the current understanding of TPB from the perspective of behavioural intention toward non-halal meat.Practical implicationsThe study's findings have significant implications for all the organizations/outlets dealing with non-vegetarian food products, whether packaged or fresh and for meat sellers.Originality/valueThe study is unique in identifying the meat choice preferences based on slaughter practice through the extended prism of TPB. The market chosen for this study is one of the biggest consumer markets and its growing continuously.
Investigating the impact of person-organization fit on employee well-being in uncertain conditions: a study in three central European countries
Authors: Jaškevičiūtė Vaida , Zsigmond Tibor , Berke Szilárd , Berber Nemanja 
Published: November 2023

PurposeThe objective of this research is to explore the relationship between person-organization fit and employee well-being in the context of uncertainty across three Central European countries: Lithuania, Slovakia and Hungary.Design/methodology/approachThis study employed a survey-based approach to gather primary data from Lithuania, Slovakia and Hungary, resulting in a total of 1,140 respondents. The survey utilized a structured questionnaire designed with a five-point Likert scale. The questionnaire consisted of three main sections: person-organization fit, employee well-being and demographic information. Person-organization fit was assessed through a 3-item scale, while employee well-being was evaluated using an 18-item scale that included 3 dimensions: life well-being, workplace well-being and psychological well-being. Partial least squares structural equation modeling (PLS-SEM) was employed to analyze the survey data.FindingsThe findings of the study reveal significant positive relationships between person-organization fit and three dimensions of employee well-being – life well-being, workplace well-being and psychological well-being – in three Central European countries: Lithuania, Slovakia and Hungary. Notably, there were discernible differences between Hungary and Lithuania, as well as between Slovakia and Lithuania. Conversely, no significant distinctions were observed between Hungary and Slovakia in relation to these variables.Originality/valueThis research has the potential to shed light on how the alignment between individual values and organizational values impacts employee well-being, particularly within the context of volatile periods such as the COVID-19 pandemic. This understanding can guide organizations in fostering a work environment that supports employees. Furthermore, the results of this study create the prospect of providing actionable guidance to organizations aiming to strengthen their approaches for enhancing employee well-being across dimensions such as life well-being, workplace well-being and psychological well-being.
Financial fraud victimization: an examination of distress and financial complications
Authors: Golladay Katelyn A. , Snyder Jamie A. 
Published: November 2023

Purpose
This study expands the empirical understanding of financial fraud victims and the consequences that emerge as a result of financial fraud victimization. In addition, this study aims to assess the impact of the unique role victims play in financial fraud and the impact self-identifying as a victim has on the negative consequences they experience.

Design/methodology/approach
Data from the Supplemental Fraud Survey to the National Crime Victimization Survey are used to assess the negative consequences of financial fraud victimization.

Findings
Results suggest that victims of financial fraud experience increased distress and financial complications following their victimization experience. In addition, self-reported victim status is found to significantly increase a respondent’s likelihood of reporting emotional distress and financial complications. Implications for research, theory and policy are discussed.

Originality/value
While empirical studies on the consequences of identity theft victimization have been increasing in recent years, financial fraud victimization remains understudied. Given the victim involvement in financial fraud, the consideration of financial fraud independent of identity theft fraud is vital.
Motivational factors to paying zakat through institutions: a multigroup analysis of urban and suburban muzakki based on digital payment scheme
Authors: Sunarsih Sunarsih , Hamdani Lukman , Rizal Achmad , Yusfiarto Rizaldi 
Published: November 2023

Purpose
This study aims to empirically explore several factors that encourage muzakki (zakat payers) to pay their zakat through institutions by elaborating on their extrinsic and intrinsic motivations as the composite factors regarding the attitude and intention improvement of muzakki. This study specifically studies zakat payment via digital means and categorizes the muzakki groups into two (urban and suburban) to be considered in the results.

Design/methodology/approach
Overall, this study gathers the data from 298 muzakki using a partial least squares technique the multigroup analysis to compare the analysis.

Findings
This study found that different sociodemographic aspects will result in varied performances of motivation in using technology between the two groups. Furthermore, positive preference aspects, such as muzakki’s attitude, can be a catalyst in improving their motivation to pay zakat through institutions.

Practical implications
The findings of this study can be used as a foundation to improve the technology-based services that will be more accessible and reachable. Provision of technical follow-ups regarding the utilization of technology, including community-based digital platform socializations, availability of online customer service that will respond to muzakki’s needs and synergy between stakeholders, are the primary obligations that a zakat institution must fulfill.

Originality/value
As far as the researchers are concerned, the studies focusing on the motivational factors and attitude of muzakki as an intervention in paying zakat via institutions are limited in numbers, especially studies on digital payment. In this study, however, classifying the groups into two will help gain a deeper understanding of this topic.
Using entrepreneurial competencies and action to profile entrepreneurs: a CHAID analysis approach
Authors: Botha Melodi 
Published: November 2023

Purpose
Entrepreneurial trait and behaviour approaches are used to identify differing entrepreneurial profiles. Specifically, this study aims to determine which entrepreneurial competencies (ECs) can predict entrepreneurial action (EA) for distinct profiles, such as male versus female, start-up versus established and for entrepreneurs within different age groups and educational levels.

Design/methodology/approach
The research was conducted using a survey method on a large sample of 1,150 South African entrepreneurs. Chi-squared automatic interaction detection (CHAID) algorithms were used to build decision trees to illustrate distinct entrepreneurial profiles.

Findings
Each profile has a different set of ECs that predict EA, with a growth mindset being the most significant predictor of action. Therefore, this study confirms that a “one-size-fits-all” approach cannot be applied when profiling entrepreneurs.

Research limitations/implications
From a pedagogical standpoint, different combinations of these ECs for each profile provide priority information for identification of appropriate candidates (e.g. the highest potential for success) and training initiatives, effective pedagogies and programme design (e.g. which individual ECs should be trained and how should they be trained).

Originality/value
Previous work has mostly focused on demographic variables and included a single sample to profile entrepreneurs. This study maintains much wider applicability in terms of examining profiles in a systematic way. The large sample size supports quantitative analysis of the comparisons between different entrepreneurial profiles using unconventional analyses. Furthermore, as far as can be determined, this represents the first CHAID conducted in a developing country context, especially South Africa, focusing on individual ECs predicting EA.
Technology adoption theories towards environmentally sustainable pharma 4.0: a rational selection approach
Authors: Toshniwal Ved Prabha , Jain Rakesh , Soni Gunjan , Mangla Sachin Kumar , Narula Sandeep 
Published: November 2023

PurposeThis study is centered on the identification of the most appropriate Technology Adoption (TA) model for investigating the adoption of Industry 4.0 technologies within pharmaceutical and related enterprises. The aim is to facilitate a smooth transition to advanced technologies while concurrently achieving environmental sustainability.Design/methodology/approachSelection of a suitable TA theory is carried out using a hybrid multi-criteria decision-making (MCDM) approach incorporating PIvot Pairwise RElative Criteria Importance Assessment (PIPRECIA) and Fuzzy Measurement of alternatives and ranking according to Compromise solution (F-MARCOS) methods. A group of three experts is formulated for the ranking of criteria and alternatives based on those criteria.FindingsThe results indicate that out of all six TA models considered unified theory of acceptance and use of technology (UTAUT) model gets the highest utility function value, followed by the technical adoption model (TAM). Further, sensitivity analysis is conducted to confirm the validity of the MCDM model employed.Research limitations/implicationsChallenging times like COVID-19 pointed out the importance of technology in the pharmaceutical and healthcare sectors. TA studies in this area can help in the identification of critical factors that can assist pharmaceutical firms in their efforts to embrace emerging technologies, enhance their outputs and increase their efficiency.Originality/valueThe novelty of this research lies in the fact that the utilization of a TA theory prior to its implementation has not been witnessed in existing scholarly literature. The utilization of a TA theory, specifically within the pharmaceutical industry, can assist enterprises in directing their attention toward pertinent factors when contemplating the implementation of emerging technologies and achieving sustainable development.