bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fluffy cuffs: SME’s innovation in alliances with buyer firms
Authors: Bouncken Ricarda B. , Ratzmann Martin , Covin Jeffrey G. 
Published: January 2023

AbstractSupplier firms, especially the more resource constraint SMEs, form alliances for product innovation. Supplier firms can try to push in creative inputs while needing to align them with the overall solution of the buyer. Our study zooms in on this push and alignment balancing act. Our theoretical model is informed by the attention-based view. It considers two centralization mechanisms, relationship intensity and formalized specifications of the buyer firm. Our dependent variable is innovation of the SME supplier. The model hypothesizes linear and non-linear effects by relationship intensity and the buyer’s detailed and formalized specifications (e.g., functional principles, features, and design elements). Data collected from 279 European supplier SMEs reveals that moderate levels of “post-formational specifications” proposed by the buyer firm are associated with greater product innovation of the supplier. Interestingly, less product innovation results when the specifications of the buyer are either minimal or high. Stronger relationship intensity allows greater product innovation as it enables partners to capture more benefits from the post-formational specifications as they constructively work together.
Predicting Soft Tissue Sarcoma Response to Neoadjuvant Chemotherapy Using an MRI-Based Delta-Radiomics Approach
Authors: Fields Brandon K. K. , Demirjian Natalie L. , Cen Steven Y. , Varghese Bino A. , Hwang Darryl H. , Lei Xiaomeng , Desai Bhushan , Duddalwar Vinay , Matcuk George R. 
Published: January 2023

Abstract

Objectives
To evaluate the performance of machine learning–augmented MRI-based radiomics models for predicting response to neoadjuvant chemotherapy (NAC) in soft tissue sarcomas.

Methods
Forty-four subjects were identified retrospectively from patients who received NAC at our institution for pathologically proven soft tissue sarcomas. Only subjects who had both a baseline MRI prior to initiating chemotherapy and a post-treatment scan at least 2 months after initiating chemotherapy and prior to surgical resection were included. 3D ROIs were used to delineate whole-tumor volumes on pre- and post-treatment scans, from which 1708 radiomics features were extracted. Delta-radiomics features were calculated by subtraction of baseline from post-treatment values and used to distinguish treatment response through univariate analyses as well as machine learning–augmented radiomics analyses.

Results
Though only 4.74% of variables overall reached significance at p ≤ 0.05 in univariate analyses, Laws Texture Energy (LTE)-derived metrics represented 46.04% of all such features reaching statistical significance. ROC analyses similarly failed to predict NAC response, with AUCs of 0.40 (95% CI 0.22–0.58) and 0.44 (95% CI 0.26–0.62) for RF and AdaBoost, respectively.

Conclusion
Overall, while our result was not able to separate NAC responders from non-responders, our analyses did identify a subset of LTE-derived metrics that show promise for further investigations. Future studies will likely benefit from larger sample size constructions so as to avoid the need for data filtering and feature selection techniques, which have the potential to significantly bias the machine learning procedures.
Managing Interruptions to Improve Diagnostic Decision-Making: Strategies and Recommended Research Agenda
Authors: Sloane Jennifer F. , Donkin Chris , Newell Ben R. , Singh Hardeep , Meyer Ashley N. D. 
Published: January 2023

AbstractInterruptions are an inevitable occurrence in health care. Interruptions in diagnostic decision-making are no exception and can have negative consequences on both the decision-making process and well-being of the decision-maker. This may result in inaccurate or delayed diagnoses. To date, research specific to interruptions on diagnostic decision-making has been limited, but strategies to help manage the negative impacts of interruptions need to be developed and implemented. In this perspective, we first present a modified model of interruptions to visualize the interruption process and illustrate where potential interventions can be implemented. We then consider several empirically tested strategies from the fields of health care and cognitive psychology that can lay the groundwork for additional research to mitigate effects of interruptions during diagnostic decision-making. We highlight strategies to minimize the negative impacts of interruptions as well as strategies to prevent interruptions altogether. Additionally, we build upon these strategies to propose specific research priorities within the field of diagnostic safety. Identifying effective interventions to help clinicians better manage interruptions has the potential to minimize diagnostic errors and improve patient outcomes.
Stable and Efficient Hole Selective Contacts for Silicon Photovoltaics via Solution-Processed Luminescent Small Molecules
Authors: Kuo Li-Jung , Li Li-Yu , Chang Yu-Chun , Lin Tong-Ke , Chang Han-Chen , Shieh Yu-Chiao , Chen Shih-Wei , Shieh Jia-Min , Chen Li-Yin , Yu Peichen , Chao Yu-Chiang , Meng Hsin-Fei 
Published: January 2023

AbstractWe report an organic luminescent small molecule, Bis(1-phenylisoquinoline) (acetylacetonate) iridium(III) or Ir(piq)2(acac), that can function as a stable and efficient hole selective contact (HSC) for crystalline silicon (c-Si) solar cells. The devices with the Ir(piq)2(acac) HSC exhibit superior charge transport properties and high stability for up to 30 days in the air without packaging. The photovoltaic characteristics with the solution-processed Ir(piq)2(acac) HSC exhibit little dependence on the blade coating speed and film thickness, demonstrating tolerance to coating and thickness variations. Moreover, the series resistance of the solar cells and the surface work function of the Ir(piq)2(acac) HSCs exhibit analogous correlations to the annealing temperature, suggesting that the fill factor (FF) enhancement originates from an upward energy band bending and a reduced barrier height which facilitates hole transport and collection. The conventional c-Si solar cell incorporating an Ir(piq)2(acac) HSC achieves a 17.8% power conversion efficiency (PCE) with a 78.9% FF, both exceeding the reference counterpart with a 16.9% PCE and 76.8% FF. This work opens up possibilities for exploring a variety of organic luminescent small molecules as efficient hole selective contacts in high-efficiency and low-cost silicon photovoltaics.
Graphic Abstract
Microsatellite instability assessment is instrumental for Predictive, Preventive and Personalised Medicine: status quo and outlook
Authors: Styk Jakub , Pös Zuzana , Pös Ondrej , Radvanszky Jan , Turnova Evelina Hrckova , Buglyó Gergely , Klimova Daniela , Budis Jaroslav , Repiska Vanda , Nagy Bálint , Szemes Tomas 
Published: January 2023

AbstractA form of genomic alteration called microsatellite instability (MSI) occurs in a class of tandem repeats (TRs) called microsatellites (MSs) or short tandem repeats (STRs) due to the failure of a post-replicative DNA mismatch repair (MMR) system. Traditionally, the strategies for determining MSI events have been low-throughput procedures that typically require assessment of tumours as well as healthy samples. On the other hand, recent large-scale pan-tumour studies have consistently highlighted the potential of massively parallel sequencing (MPS) on the MSI scale. As a result of recent innovations, minimally invasive methods show a high potential to be integrated into the clinical routine and delivery of adapted medical care to all patients. Along with advances in sequencing technologies and their ever-increasing cost-effectiveness, they may bring about a new era of Predictive, Preventive and Personalised Medicine (3PM). In this paper, we offered a comprehensive analysis of high-throughput strategies and computational tools for the calling and assessment of MSI events, including whole-genome, whole-exome and targeted sequencing approaches. We also discussed in detail the detection of MSI status by current MPS blood-based methods and we hypothesised how they may contribute to the shift from conventional medicine to predictive diagnosis, targeted prevention and personalised medical services. Increasing the efficacy of patient stratification based on MSI status is crucial for tailored decision-making. Contextually, this paper highlights drawbacks both at the technical level and those embedded deeper in cellular/molecular processes and future applications in routine clinical testing.
Mechanization and sustainable agri-food system transformation in the Global South. A review
Authors: Daum Thomas 
Published: January 2023

AbstractThere is an urgent need for agri-food system transformation to achieve global sustainability goals. Innovations can play a key role in this transformation but often come with both sustainability synergies and trade-offs. One such innovation is agricultural mechanization, which is spreading rapidly in parts of the Global South and is high on the policy agenda in others. The rapid spread of mechanization is fundamentally changing the character of agri-food systems in the Global South, with both positive and negative effects. However, while some of these effects have been well explored, no study so far has systematically reviewed the sustainability synergies and trade-offs associated with mechanization, undermining necessary accompanying research and policy efforts. This review provides an overview of the progress toward mechanization across the Global South, identifies drivers and barriers, assesses sustainability synergies and trade-offs, and discusses options to maximize sustainability outcomes. The review is the first to holistically assess the potentials and risks of agricultural mechanization for the sustainable transformation of agri-food systems in the Global South, taking into account all pillars of sustainability. The review suggests that agricultural mechanization is needed to make agri-food systems more sustainable concerning various economic and social aspects, such as labor productivity, poverty reduction, food security, and health and well-being. However, there are also sustainability risks concerning environmental aspects such as biodiversity loss and land degradation, and economic and social concerns related to lacking inclusiveness and growing inequalities, among others. A wide range of technological and institutional solutions is identified to harness the potential of agricultural mechanization for sustainable agri-food system transformation, while at the same time minimizing the risks. However, more efforts are needed to implement such solutions at scale and ensure that mechanization contributes to agri-food systems that respect all pillars of sustainability.
The Psychology of Athletic Tapering in Sport: A Scoping Review
Authors: Stone Maxwell J. , Knight Camilla J. , Hall Ross , Shearer Catherine , Nicholas Ross , Shearer David A. 
Published: January 2023

AbstractTaper is a common training strategy used to reduce fatigue and enhance athletic performance. However, currently, no review has summarised what psychological research has been conducted examining taper, what this research shows and what future research needs to be undertaken to extend the field. Consequently, a scoping review was conducted with three aims: (a) to determine the characteristics of psychological research examining taper, (b) to summarise psychological research collected during taper with adult athletes and coaches, and (c) to identify gaps in psychological research examining taper. Forty-eight articles were identified following an exhaustive search strategy and charted following scoping review guidelines. Results showed most research was quantitative, used a longitudinal design, was conducted in swimming, triathlon, cycling or across multiple sports, and used a university-, regional- or national-level male athlete sample. Eight themes were developed to summarise the research: Mood, Perception of Effort, Perceived Fatigue and Wellness, Recovery-Stress, Taper as a Stressor, Stress Tolerance, Psychological Preparation and Cognitive Functioning. Additionally, four research recommendations were identified: (a) conducting exploratory research that examines the impact taper has on athletes’ and coaches’ competition preparation and stress experience, (b) asking more advanced psychological questions and conducting multi-disciplinary research, (c) including a more diverse participant sample in studies and (d) examining the impact of psychological interventions during taper. Overall, this scoping review has highlighted the limited research examining the psychology of taper and the need for focused research that asks more complex questions across diverse populations.
Die Feinstaubbelastung Radfahrender im innerstädtischen Straßenverkehr
Authors: Fischer Martin , Dröge Janis , Braun Markus , Groneberg David A. 
Published: January 2023

ZusammenfassungFahrradfahren als Form der aktiven Fortbewegung bietet viele gesundheitliche Vorteile durch eine gesteigerte körperliche Aktivität. In städtischer Umgebung können diese Vorteile aufgrund der intensivierten Respiration beim Radfahren und der Nähe zum Fahrzeugverkehr mit einer assoziierten Exposition von verkehrsbedingter partikulärer Luftverschmutzung durch Feinstaub beeinträchtigt werden. Das Ziel dieser Übersichtsarbeit ist, eine Darstellung der aktuellen Literatur mit mobil erhobenen Daten zur Feinstaubbelastung Radfahrender im urbanen Raum zu geben sowie die darin beschriebenen Einflussfaktoren der Feinstaubkonzentrationen aus Meteorologie, Verkehr, Architektur und zeitlichen Bedingungen zu beschreiben. Fahrradfahren repräsentiert diesbezüglich eine effiziente Vorgehensweise zur Charakterisierung individueller Feinstaubbelastungen mit der Möglichkeit einer hohen räumlich-zeitlichen Auflösung. Unter Beachtung der Hintergrundkonzentration können Aussagen zur relativen Schadstoffexposition und des einhergehenden Gesundheitsrisikos mit Erkenntnissen zugunsten einer umweltverträglichen innerstädtischen Verkehrsplanung getroffen werden.
Continuity and Change in the World Trade Organization: Pluralism Past, Present, and Future
Authors: Howse Robert , Langille Joanna 
Published: January 2023

AbstractThe World Trade Organization is at an important institutional crossroads, buffeted by critique and with its once-heralded dispute system in doubt. Despite some achievements at the 2022 MC12 Ministerial Conference, the WTO appears in crisis, without a strong institutional mandate. In this Article, we offer a vision for its future, rooted in a particular interpretation of its past. The WTO's legal architecture is characterized by a resilient pluralism, which seeks to preserve diversity of governance models and regulatory approaches, both economic and political, in the domestic orders of member states. Despite strong pressures to impose a neoliberal vision of the state-market relationship on states, this pluralism has persevered; it offers a response to the WTO's critics and a mandate for the WTO's future.
Mean flow reconstruction of unsteady flows using physics-informed neural networks
Authors: Sliwinski Lukasz , Rigas Georgios 
Published: January 2023

Abstract
Data assimilation of flow measurements is an essential tool for extracting information in fluid dynamics problems. Recent works have shown that the physics-informed neural networks (PINNs) enable the reconstruction of unsteady fluid flows, governed by the Navier–Stokes equations, if the network is given enough flow measurements that are appropriately distributed in time and space. In many practical applications, however, experimental measurements involve only time-averaged quantities or their higher order statistics which are governed by the under-determined Reynolds-averaged Navier–Stokes (RANS) equations. In this study, we perform PINN-based reconstruction of time-averaged quantities of an unsteady flow from sparse velocity data. The applied technique leverages the time-averaged velocity data to infer unknown closure quantities (curl of unsteady RANS forcing), as well as to interpolate the fields from sparse measurements. Furthermore, the method’s capabilities are extended further to the assimilation of Reynolds stresses where PINNs successfully interpolate the data to complete the velocity as well as the stresses fields and gain insight into the pressure field of the investigated flow.
The association between plasma zinc concentrations and markers of glucose metabolism in adults in Cameroon
Authors: Mba Camille M. , Jones Kerry S. , Forouhi Nita G. , Imamura Fumiaki , Assah Felix , Mbanya Jean Claude , Wareham Nicholas J. 
Published: January 2023

AbstractAn abnormal Zn status has been suggested to play a role in the pathogenesis of type 2 diabetes. However, epidemiological studies of the relationship between plasma Zn concentrations and diabetes are sparse and inconclusive. We aimed to investigate the association between plasma Zn concentrations and glycaemic markers (fasting glucose, 2-h glucose and homeostatic model assessment of insulin resistance) in rural and urban Cameroon. We studied 596 healthy adults (63·3 % women) aged 25–55 years in a population-based cross-sectional study. The mean plasma Zn concentration was 13·7 ± 2·7 µmol/L overall, with higher levels in men (14·4 ± 2·9 µmol/l) than in women (13·2 ± 2·6 µmol/l),P-value < 0·0001. There was an inverse relationship between tertiles of plasma Zn and 2-h glucose concentrations (P-value for linear trend = 0·002). The difference in 2-h glucose between those in the highest tertile of plasma Zn compared to the lowest was −0·63 (95 % CI − 1·02, −0·23) mmol/l. This remained significant after adjusting for age, sex, smoking status, alcohol intake, education level, area of residence, adiposity and objectively measured physical activity −0·43(–0·82, −0·04). Similar inverse associations were observed between plasma Zn concentrations and fasting glucose and homeostatic model assessment of insulin resistance when adjusted for socio-demographic and health-related behavioural characteristics. The current findings of an inverse association between plasma Zn concentrations and several markers of glucose homeostasis, together with growing evidence from intervention studies, suggest a role for Zn in glucose metabolism. If supported by further evidence, strategies to improve Zn status in populations may provide a cheap public health prevention approach for diabetes.
Organic system vs. conventional – a Bayesian analysis of Polish potato post-registration trials
Authors: Przystalski M. , Lenartowicz T. 
Published: January 2023

AbstractInterest in organic agriculture worldwide is growing and is mainly supported by a strong consumer interest. In the literature, a lot of attention has been paid to comparing organic and conventional systems, on studying the yield gap between the two systems and, how to reduce it. In the present work, based on the results from Polish organic and conventional series of field trials carried out in 2019–2021, organic and conventional systems were compared in terms of potato tuber yield. Moreover, we propose a Bayesian approach to the variety × environment × system data set and describe Bayesian counterparts of two stability measures. Using this methodology, we identify the most stable and highest tuber yielding varieties in the Polish potato organic and conventional series of field trials. It is shown that the tuber yield in the organic system was approx. 44% lower than the tuber yield in the conventional system. Moreover, varieties Tajfun and Otolia were the most stable and highest yielding varieties in the organic system, whereas in the conventional system, the variety Jurek was the most stable and highest yielding variety among the tested varieties. In the present work, the use of the Bayesian approach allowed us to calculate the probability that the mean of a given variety in given system exceeds the mean of control varieties in that system.
Salivary crystallization pattern: a possible unconventional tool for timing of insemination and early pregnancy diagnosis in zebu cows
Authors: Chavan Nitin Bhaskar , Kumaresan Arumugam , Chhillar Shivani , Nayak Samiksha , Prakash Mani Arul , Lathika Sreela , Baithalu Rubina Kumari , Onteru Suneel , Manimaran Ayyasamy , Kimothi Shiv Prasad 
Published: January 2023

AbstractThe present study assessed if salivary crystallization pattern (ferning pattern formed as a result of the higher levels of salt content in the dried sample) could be used for estrus detection and for diagnosis of pregnancy/non-pregnancy in dairy cows. Saliva and blood samples were collected from non-pregnant cycling cows (Sahiwal breed; n = 20) on alternate days from the day of estrus till next estrus. Then, all the cows were inseminated and saliva and blood sampling were continued further for a period of 22 d post-insemination. Pregnancy diagnosis was carried out on day 45 post-insemination and eight cows were found to be pregnant. The salivary crystallization pattern and estradiol:progesterone ratio during estrous cycle and during pregnancy were compared among these cows. Six types of salivary crystallization patterns were discerned; distinct patterns such as branch-like, fern-like, fir-like and combinations of these. Fern-like pattern was observed in all the cows on the day of estrus (first measurement day) and furthermore, all of the cows that subsequently became pregnant had fern-like salivary crystallization pattern at the time of insemination. Saliva of all the pregnant cows showed branch-fir type of crystallization pattern on day 16 post-breeding while only 50% of non-pregnant cows showed this pattern on day 16 of estrous cycle. The appearance of fern-like pattern was positively and significantly related to estradiol:progesterone ratio (r = 0.86; P < 0.001). The findings were validated on a separate group of cycling cows (n = 32). We can conclude that salivary crystallization pattern might serve as a non-invasive and cost effective and easy-to-use cow-side tool for estrus detection and early pregnancy/non-pregnancy diagnosis in cows upon validation on a larger sample size.
Fibrillar aggregates in powdered milk
Authors: Wawer Jarosław , Andrukajtis Martyna , Karczewski Jakub , Zielińska-Jurek Anna , Piątek Rafał 
Published: January 2023

AbstractThis research paper addresses the hypothesis that powdered milk may contain amyloid fibrils. Amyloids are fibrillar aggregates of proteins. Up to this time, research on the presence of amyloids in food products are scarce. To check the hypothesis we performed thioflavin T fluorescence assay, X-ray powder diffraction, atomic force microscopy and fluorescence microscopy imaging. Our preliminary results show that commercially available milks contain fibrils that have features characteristic to amyloids. The obtained results can be interpreted in two opposite ways. The presence of amyloids could be considered as a hazard due to the fact that food products may induce amyloid related diseases. On the other hand, the presence of amyloids in traditionally consumed foodstuffs could serve as proof that fibrils of food proteins do not pose a threat for consumers.