bluuebunny/crossref_metadata_2025_split huggingface dataset:
Inactivation of Highly Transmissible Livestock and Avian Viruses Including Influenza A and Newcastle Disease Virus for Molecular Diagnostics
Authors: Welch Jennifer L. , Shrestha Ram , Hutchings Heather , Pal Narinder , Levings Randall , Robbe-Austerman Suelee , Palinski Rachel , Shanmuganatham Karthik K. 
Published: September 2023

AbstractThere is a critical need for an inactivation method that completely inactivates pathogens at the time of sample collection but maintains the nucleic acid quality required for diagnostic PCR testing. This inactivation method is needed to alleviate concerns about transmission potential, reduce shipping complications and cost, and allow testing in lower containment laboratories to improve disease diagnostics by improving turn-around time. This study evaluated a panel of ten surrogate viruses that represent highly pathogenic animal diseases. These results showed that a commercial (PrimeStore®) molecular transport media (PSMTM) completely inactivated all viruses tested by >99.99% as determined by infectivity and serial passage assays. However, detection of viral nucleic acid by qRT-PCR was comparable in PSMTM and control-treated conditions. These results were consistent when viruses were evaluated in the presence of biological material such as sera and cloacal swabs to mimic diagnostic sample conditions for non-avian and avian viruses, respectively. The results of this study may be utilized by diagnostic testing laboratories for highly pathogenic agents affecting animal and human populations. These results may be used to revise guidance for select agent diagnostic testing and shipment of infectious substances.Contribution to the fieldActive surveillance and confirmatory testing efforts are in place to protect animals in the United States from certain highly contagious diseases and to limit financial impacts to consumers and producers when the food supply is disrupted. Confirmatory testing typically utilizes nucleic acid detection to identify active infection. Testing is required to be completed in high containment facilities due to the elevated pathogenicity and impact potential of animal diseases. The requirement for testing in high containment facilities limits the ability for regional and state laboratories to test for Tier 1 select agents. Shipment of diagnostic samples is costly, as well as time and temperature sensitive to avoid deterioration of sample quality needed for testing. These constraints lengthen response time and testing turn-around time. Here, we showed that a commercial (PrimeStore®) molecular transport media (PSMTM) completely inactivated all viruses tested without affecting nucleic acid detection/integrity. These data suggest that highly contagious agents are effectively inactivated by PSMTM without compromising the nucleic acid needed for diagnostic testing. These data provide support that this inactivation method can be utilized during sample collection to reduce constraints in disease diagnostics and in reagent sharing among international laboratories.
A mutation inThemiscontributes to peanut-induced oral anaphylaxis in CC027 mice
Authors: Risemberg Ellen L. , Smeekens Johanna M. , Cruz Cisneros Marta C. , Hampton Brea K. , Hock Pablo , Linnertz Colton L. , Miller Darla R. , Orgel Kelly , Shaw Ginger D. , Pardo Manuel de Villena Fernando , Burks A. Wesley , Valdar William , Kulis Michael D. , Ferris Martin T. 
Published: September 2023

ABSTRACTBackgroundThe development of peanut allergy is due to a combination of genetic and environmental factors, although specific genes have proven difficult to identify. Previously, we reported that peanut- sensitized CC027/GeniUnc (CC027) mice develop anaphylaxis upon oral challenge to peanut, unlike C3H/HeJ (C3H) mice.ObjectiveTo determine the genetic basis of orally-induced anaphylaxis to peanut in CC027 mice.MethodsA genetic mapping population between CC027 and C3H mice was designed to identify the genetic factors that drive oral anaphylaxis. A total of 356 CC027xC3H backcrossed mice were generated, sensitized to peanut, then challenged to peanut by oral gavage. Anaphylaxis and peanut-specific IgE were quantified for all mice. T-cell phenotyping was conducted on CC027 and five additional CC strains.ResultsAnaphylaxis to peanut was absent in 77% of backcrossed mice, with 19% showing moderate anaphylaxis, and 4% having severe anaphylaxis. A total of eight genetic loci were associated with variation in response to peanut challenge, six associated with anaphylaxis (temperature decrease) and two associated with peanut-specific IgE levels. There were two major loci that impacted multiple aspects of the severity of acute anaphylaxis, at which the CC027 allele was associated with worse outcome. At one of these loci, CC027 has a private genetic variant in theThemis(thymocyte-expressed molecule involved in selection) gene. Consistent withThemis’ described functions, we found that CC027 have more immature T cells with fewer CD8+, CD4+, and CD4+CD25+CD127- regulatory T cells.ConclusionOur results demonstrate a key role forThemisin the orally-reactive CC027 mouse model of peanut allergy.
Improving antibody affinity using laboratory data with language model guided design
Authors: Krause Ben , Subramanian Subu , Yuan Tom , Yang Marisa , Sato Aaron , Naik Nikhil 
Published: September 2023

AbstractProtein design involves navigating vast sequence spaces to discover sequences with desired traits. Language models (LMs) pretrained on universal protein datasets have shown potential to make this search space tractable. However, LMs trained solely on natural sequences have limitations in creating proteins with novel functions. In this work, we used a combination of methods to finetune pretrained LMs on laboratory data collected in an anti-CD40L single domain antibody library campaign to develop an ensemble scoring function to model the fitness landscape and guide the design of new antibodies. Laboratory experiments confirmed improved CD40L affinity in the designed antibodies. Notably, the designs improved the affinities of four antibodies, originally ranging from 1 nanomolar to 100 picomolar, all to below 25 picomolar, approaching the limit of detection. This work is a promising step towards realizing the potential of LMs to leverage laboratory data to develop improved treatments for diseases.
Resolving the nanoscale structure of β-sheet assemblies using single-molecule orientation-localization microscopy
Authors: Zhou Weiyan , O’Neill Conor L. , Ding Tianben , Zhang Oumeng , Rudra Jai S. , Lew Matthew D. 
Published: September 2023

AbstractSynthetic peptides that self-assemble into cross-β fibrils have remarkable utility as engineered biomaterials due to their modularity and biocompatibility, but their structural and morphological similarity to amyloid species has been a long-standing concern for their translation. Further, their polymorphs are difficult to characterize using spectroscopic and imaging techniques that rely on ensemble averaging to achieve high resolution. Here, we utilize single-molecule orientation-localization microscopy (SMOLM) to characterize fibrils formed by the designed amphipathic enantiomers, KFE8Land KFE8D, and the pathological amyloid-beta peptide Aβ42. SMOLM reveals that the orientations of Nile red, as it transiently binds to both KFE8 and Aβ42, are consistent with a helical (bilayer) ribbon structure and convey the precise tilt of the fibrils’ inner and outer backbones. SMOLM also finds polymorphic branched and curved morphologies of KFE8 whose backbones exhibit much more heterogeneity than those of more typical straight fibrils. Thus, SMOLM is a powerful tool to interrogate the structural differences and polymorphism between engineered and pathological cross β-rich fibrils.
Testing the effectiveness of a commercially sold probiotic on restoring the gut microbiota of honey bees: a field study
Authors: Damico Megan E. , Beasley Burton , Greenstein Drew , Raymann Kasie 
Published: September 2023

AbstractAntibiotic use in apiculture is often necessary to ensure the survival of honey bee colonies. However, beekeepers are faced with the dilemma of needing to combat bacterial brood infections while also knowing that antibiotics kill beneficial bacteria important for bee health. In recent years, bee probiotics have become increasingly purchased by beekeepers because of product claims like being able to “replenish the microbes lost due to agricultural modifications of honey bees’ environment” or “promote optimal gut health.” Unfortunately, these products have little scientific evidence to support their efficacy, and previous lab experiments have refuted some of their claims. Here, we performed hive-level field experiments to test the effectiveness of SuperDFM-HoneyBee™ −the most commonly purchased honey bee probiotic in the United States− on restoring the honey bee gut microbiota after antibiotic treatment. We found slight but significant changes in the microbiota composition of bees following oxytetracycline (TerraPro) treatment and no difference between the microbiota of antibiotic treated bees with or without subsequent probiotic supplementation. Moreover, the microorganisms in the probiotic supplement were never found in the guts of the worker bee samples. These results highlight that more research is needed to test the efficacy and outcomes of currently available commercial honey bee probiotic supplements.
Effect of high-temperature mechanochemistry method modified TiO2 on the dispersibility and corrosion resistance of TiO2-epoxy coatings
Authors: Liu Yang , Zhang Qian , Wang Jialing , Shao Yawei , Xu Zhengyi , Wang Yanqiu , Wang Junyi 
Published: September 2023

Purpose
The purpose of this paper is to enhance the compatibility of titanium dioxide in epoxy resins and thus the corrosion resistance of the coatings.

Design/methodology/approach
In this work, TiO2 was modified by the mechanochemistry method where mechanical energy was combined with thermal energy to complete the modification. The stability of modified TiO2 in epoxy was analyzed by sedimentation experiment. The modified TiO2-epoxy coating was prepared, and the corrosion resistance of the coating was analyzed by open circuit potential, electrochemical impedance spectroscopy and neutral salt spray test.

Findings
High-temperature mechanical modification can improve the compatibility of TiO2 in epoxy resin. At the same time, the modified TiO2-epoxy coating showed better corrosion resistance. Compared to the unmodified TiO2-epoxy coating, the coating improved the dry adhesion force by 61.7% and the adhesion drop by 33.3%. After 2,300 h of immersion in 3.5 Wt.% NaCl solution, the coating resistance of the modified TiO2 coating was enhanced by nearly two orders of magnitude compared to the unmodified coating.

Originality/value
The authors have grafted epoxy molecules onto TiO2 surfaces using a high-temperature mechanical force modification method. The compatibility of TiO2 with epoxy resin is enhanced, resulting in improved adhesion of the coating to the substrate and corrosion resistance of the coating.
Numerical analysis of neutral delay differential equations with high-frequency inputs
Authors: Condon Marissa 
Published: September 2023

Purpose
The paper proposes an efficient and insightful approach for solving neutral delay differential equations (NDDE) with high-frequency inputs. This paper aims to overcome the need to use a very small time step when high frequencies are present. High-frequency signals abound in communication circuits when modulated signals are involved.

Design/methodology/approach
The method involves an asymptotic expansion of the solution and each term in the expansion can be determined either from NDDE without oscillatory inputs or recursive equations. Such an approach leads to an efficient algorithm with a performance that improves as the input frequency increases.

Findings
An example shall indicate the salient features of the method. Its improved performance shall be shown when the input frequency increases. The example is chosen as it is similar to that in literature concerned with partial element equivalent circuit (PEEC) circuits (Bellen et al., 1999). Its structure shall also be shown to enable insights into the behaviour of the system governed by the differential equation.

Originality/value
The method is novel in its application to NDDE as arises in engineering applications such as those involving PEEC circuits. In addition, the focus of the method is on a technique suitable for high-frequency signals.
Automatic generation of parametric patterns from grading patterns using artificial intelligence
Authors: Oh Jihyun , Kim Sungmin 
Published: September 2023

PurposeThis study aims to automate the process of converting grading patterns into parametric patterns using artificial intelligence and to objectively evaluate the fitness of the converted patterns.Design/methodology/approachThe developed system consists of a user interface that defines input data by importing multi-size grading patterns, an artificial neural network that learns the relationship between human body size and pattern geometry, and a module that converts training results into parametric patterns. In order to evaluate the fitness of the generated pattern, an objective fitting evaluation method using drape simulation was developed.FindingsThe body sizes of the wearer were input to the converted parametric pattern to generate a customized pattern. Resulting pattern showed a better fit than the grading pattern on the off-average body model.Research limitations/implicationsIn this study, a method has been developed that enables the users with minimal pattern drafting knowledge to convert grading patterns into parametric patterns using artificial intelligence and drape simulation. The human body's symmetry and the physical properties of fabric were not considered.Originality/valueThe system developed in this study requires less data compared to existing methods that attempt to design clothing patterns with machine learning. In addition, it was possible to evaluate pattern fitness on various body models through drape simulation based fit evaluation process for the first time.
Employing a multi-sensor fusion array to detect objects for an orbital transfer vehicle to remove space debris
Authors: Jani Kaushal 
Published: September 2023

PurposeThis article takes into account object identification, enhanced visual feature optimization, cost effectiveness and speed selection in response to terrain conditions. Neither supervised machine learning nor manual engineering are used in this work. Instead, the OTV educates itself without instruction from humans or labeling. Beyond its link to stopping distance and lateral mobility, choosing the right speed is crucial. One of the biggest problems with autonomous operations is accurate perception. Obstacle avoidance is typically the focus of perceptive technology. The vehicle's shock is nonetheless controlled by the terrain's roughness at high speeds. The precision needed to recognize difficult terrain is far higher than the accuracy needed to avoid obstacles.Design/methodology/approachRobots that can drive unattended in an unfamiliar environment should be used for the Orbital Transfer Vehicle (OTV) for the clearance of space debris. In recent years, OTV research has attracted more attention and revealed several insights for robot systems in various applications. Improvements to advanced assistance systems like lane departure warning and intelligent speed adaptation systems are eagerly sought after by the industry, particularly space enterprises. OTV serves as a research basis for advancements in machine learning, computer vision, sensor data fusion, path planning, decision making and intelligent autonomous behavior from a computer science perspective. In the framework of autonomous OTV, this study offers a few perceptual technologies for autonomous driving in this study.FindingsOne of the most important steps in the functioning of autonomous OTVs and aid systems is the recognition of barriers, such as other satellites. Using sensors to perceive its surroundings, an autonomous car decides how to operate on its own. Driver-assistance systems like adaptive cruise control and stop-and-go must be able to distinguish between stationary and moving objects surrounding the OTV.Originality/valueOne of the most important steps in the functioning of autonomous OTVs and aid systems is the recognition of barriers, such as other satellites. Using sensors to perceive its surroundings, an autonomous car decides how to operate on its own. Driver-assistance systems like adaptive cruise control and stop-and-go must be able to distinguish between stationary and moving objects surrounding the OTV.
The derivatives debate: do derivatives disclosures add value during difficult times?
Authors: Toerien Franz Eduard , Hall John H. , Brümmer Leon 
Published: September 2023

PurposeThis study investigates whether the disclosure of derivatives is value relevant in emerging markets and evaluates the effects of the 2008/2009 global financial crisis on the value relevance of derivative disclosures.Design/methodology/approachPanel regression models using sub-samples and a crisis interaction term were applied to a sample of the 200 largest non-financial firms by market capitalization listed on the Johannesburg Stock Exchange (JSE) from 2005 to 2017 to assess the consequences of the financial crisis.FindingsThe results suggest that the disclosure of derivatives is value relevant in the hitherto understudied context of emerging markets. The 2008/2009 financial crisis had a significant impact on derivatives use and the value relevance of derivatives disclosure by JSE-listed companies.Practical implicationsCompanies should reconsider both how they employ derivatives as part of their risk management practices and how they communicate derivatives use to stakeholders in the financial statements. The findings facilitate a comparative analysis across various market contexts by researchers and assist investors in better decision-making. The findings can influence regulatory practices and can help standard setters to review disclosure requirements.Originality/valueThe benefits of corporate hedging were studied from an emerging market perspective, using an original dataset and approach to investigate the effects of international financial volatility on emerging markets. The authors tested whether companies are valued differently, based on their disclosure of the use of derivatives in the financial statements, and the effect of the financial crisis on the value relevance derivatives disclosures.
Sustainability in supply chain management: using drawings to understand undergraduates' perceptions of sustainability
Authors: Feeney Sharon , Hogan John 
Published: September 2023

PurposeThis paper presents an interpretation of freehand drawings produced by supply chain management undergraduates in response to the question: “What is sustainability?” Having to explain sustainability pictorially forced students to distill what the essence of sustainability meant to them and provided insights into how they perceived sustainability and their roles in achieving sustainability in the context of supply chain management.Design/methodology/approachStudents were asked to draw and answer the question “What is sustainability?” These drawings were discussed/interpreted in class. All drawings were initially examined quantitatively, before a sample of four were selected for presentation here.FindingsFreehand drawing can be used as part of a critical pedagogy to create a visual representation to bypass cognitive verbal processing routes. This allows students to produce clear, more critical and inclusive images of their understanding of a topic regardless of their vocabulary.Practical implicationsThe authors offer this as a model for educators seeking alternative methods for engaging with sustainability and for creating a learning environment where students can develop their capacity for critical self-reflection.Originality/valueThis study shows how a collaborative learning experience facilitates learners demonstrating their level of understanding of sustainability.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-11-2022-0718
Adoption of digital platforms by sponsoring organisations and NPOs for cause-related B2B marketing programs: a fsQCA exploration
Authors: Amawate Vibhas 
Published: September 2023

Purpose
Cause-related B2B marketing programs involve sponsoring organisations working with B2B suppliers with the help of non-profit organisations (NPOs) on practises relating to environmental friendliness, workforce diversity, human rights, safety, philanthropy and business ethics. The study aims to identify the combinatory factors driving the adoption of Digital B2B platforms for managing cause-related B2B marketing programs.

Design/methodology/approach
The study adopts an innovative approach of fuzzy-set qualitative comparative analysis (fsQCA) on data collated from top corporations in India supporting cause-related B2B marketing programs. Sponsoring organisations and NPO dyads (i.e. survey both) filled out an email survey on 264 cause-related B2B marketing programs.

Findings
The study establishes that the combination of technological, organisational and environmental factors would lead to the adoption of Digital B2B platforms in managing cause-related B2B marketing programs. The study identifies six combinations of these factors for adopting Digital B2B platforms within and across sponsoring organisations and NPOs.

Practical implications
The study findings would aid cause-related B2B marketers in developing Digital B2B platforms’ capabilities by understanding the different combinations of factors driving adoption. Digital B2B platforms’ capabilities can improve market performance if developed as core competencies.

Social implications
The study findings would enable improvements in the implementation and performance of cause-related B2B marketing programs. Better management of cause-related B2B marketing programs would help increase beneficiary coverage and the realisation of societal goals.

Originality/value
To the author’s knowledge, this is the first study to apply the TOE framework in conjunction with complexity theory to explain the diffusion of adoption of Digital B2B platforms for managing cause-related B2B marketing programs.