bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improving GNSS PPP-RTK through global forecast system zenith wet delay augmentation
Authors: Gao Rui , Liu Zhizhao , Odolinski Robert , Zhang Baocheng 
Published: January 2024

AbstractThe precise point positioning real-time kinematic (PPP-RTK) is a high-precision global navigation satellite system (GNSS) positioning technique that combines the advantages of wide-area coverage in precise point positioning (PPP) and of rapid convergence in real-time kinematic (RTK). However, the PPP-RTK convergence is still limited by the precision of slant ionospheric delays and tropospheric zenith wet delay (ZWD), which affects the PPP-RTK network parameters estimation and user positioning performance. The present study aims to construct a PPP-RTK model augmented with a priori ZWD values derived from the global forecast system (GFS) product (a global numerical weather prediction (NWP) model) to improve the PPP-RTK performance. This study gives a priori ZWD values and conversion based on the GFS products, and the full-rank GFS-augmented undifferenced and uncombined (UDUC) PPP-RTK network model is derived. To verify the performance of GFS-augmented UDUC PPP-RTK, a comprehensive evaluation using 10-day GNSS observation data from three different GNSS station networks in the United States (US), Australia, and Europe is conducted. The results show that with the GFS ZWD a priori information, PPP-RTK performance significantly improves at the initial filtering stage, but this advantage gradually decays over time. Based on 10-day positioning results for all user stations, the GFS ZWD-augmented PPP-RTK approach reduces the average convergence time by 46% from 10.0 to 5.4 min, the three-dimensional root-mean-square (3D-RMS) error by 5.7% from 3.5 to 3.3 cm, and the time to first fix (TTFF) value by 35.8% from 6.7 to 4.3 min, all when compared to the traditional PPP-RTK without GFS ZWD constraints.
The health benefits of the JOBS Program Germany for unemployed people: A 6-month follow-up study
Authors: Jahn Heiko Juergen , Hollederer Alfons 
Published: January 2024

Abstract
Aim
The “JOBS Program” is an intervention for the unemployed to promote health and labor market integration and has shown positive effects in the USA and Finland. The aim of this confirmatory study was to investigate whether the JOBS Program produces similar effects in Germany.

Subject and methods
We applied a multicenter randomized controlled trial to compare an intervention group (IVG) with a waiting control group (WCG) before (T0; n = 94) and about 6 months after (T2; n = 43) the intervention.

Results
Although the proportion of long-term unemployed (≥ 12 months) in the intervention group at T2 was high (88.4 %; n = 38), the JOBS Program was beneficial concerning our primary outcomes: Compared to the WCG, the regression estimated that the IVG had (1) a 3.48-point higher level of self-esteem (p = 0.032; scale range: 10–50 points), (2) a 4.93-point higher level of generalized self-efficacy expectations (p = 0.002; scale range: 10–50 points), (3) a 0.41-point higher level of general health (p = 0.016; scale range: 1–5 points), and (4) a 2.04-point lower level of unemployment-related mental burden (p = 0.028; scale range: 10–40 points).

Conclusion
This study provides evidence for the effectiveness of the JOBS Program with respect to the above outcomes, and for older and long-term unemployed, suggesting the benefit of regular implementation for different groups of unemployed people in Germany.
Enhancing maternity protection at work: assessing the contribution of a specialized occupational medicine consultation for pregnant employees in Switzerland
Authors: Abderhalden-Zellweger Alessia , Vonlanthen Julien , Renteria Saira-Christine , Wild Pascal , Moschetti Karine , Brunner Loïc , Mediouni Zakia , Probst Isabelle , Krief Peggy 
Published: January 2024

Abstract
Aim
Occupational exposures may harm the health of pregnant workers and their future children. While Switzerland has established specific regulations to safeguard pregnant employees while enabling them to pursue their job, there are limitations in implementing these provisions. This study aims to evaluate the contribution of an occupational medicine consultation (PregOH-consultation) in protecting pregnant workers and facilitating their safe return to work. Pregnant employees were referred to the consultation by their attending physicians in need of support in applying pregnancy protective legislation.

Subject and methods
Between 2015 and 2021, indicators were collected from pregnant workers who sought the consultation, as well as from their employers. Descriptive and correlational statistical analyses were performed.

Results
Out of the 328 work situations analysed, 98% presented at least one occupational hazard. Among the 272 companies contacted, only 14% had conducted a risk analysis, and 39% had implemented job adaptations. Among the pregnant workers whose employers were involved in the PregOH-consultation, 44% were able to return to work safely. Early referral to the consultation and pre-existing preventive measures within the company were identified as potential predictors of successul of the consultation in terms of safe return to work. The impact of the consultation was found to be less pronounced for women of foreign nationality.

Conclusion
The observed companies have insufficient measures in place to adequately protect pregnant employees, potentially jeopardizing their health or leading to premature job withdrawal. The PregOH-consultation serves as an effective intervention by facilitating hazard identification and enabling pregnant workers to safely continue their employment.
Progress in physical modeling of compressible wall-bounded turbulent flows
Authors: Cheng Cheng , Chen Xianliang , Zhu Wenkai , Shyy Wei , Fu Lin 
Published: January 2024

AbstractUnderstanding, modeling and control of the high-speed wall-bounded transition and turbulence not only receive wide academic interests but also are vitally important for high-speed vehicle design and energy saving because transition and turbulence can induce significant surface drag and heat transfer. The high-speed flows share some fundamental similarities with the incompressible counterparts according to Morkovin’s hypothesis, but there are also significant distinctions resulting from multi-physics coupling with thermodynamics, shocks, high-enthalpy effects, and so on. In this paper, the recent advancements on the physics and modeling of high-speed wall-bounded transitional and turbulent flows are reviewed; most parts are covered by turbulence studies. For integrity of the physical process, we first briefly review the high-speed flow transition, with the main focus on aerodynamic heating mechanisms and passive control strategies for transition delay. Afterward, we summarize recent encouraging findings on turbulent mean flow scaling laws for streamwise velocity and temperature, based on which a series of unique wall models are constructed to improve the simulation accuracy. As one of the foundations for turbulence modeling, the research survey on turbulent structures is also included, with particular focus on the scaling and modeling of energy-containing motions in the logarithmic region of boundary layers. Besides, we review a variety of linear models for predicting wall-bounded turbulence, which have achieved a great success over the last two decades, though turbulence is generally believed to be highly nonlinear. In the end, we conclude the review and outline future works.
Natural language processing analysis of online reviews for small business: extracting insight from small corpora
Authors: McCloskey Benjamin J. , LaCasse Phillip M. , Cox Bruce A. 
Published: January 2024

AbstractReceiving and acting on customer input is essential to sustaining and growing any service organization, particularly a small family business whose livelihood depends on strong relationships with its customers. The competitive advantage offered by advanced analytical approaches for supporting decisions is not trivial, and enterprises across virtually all domains of society are investing heavily in this emerging discipline. Natural Language Processing (NLP) is a subset of computer science that employs computational approaches to analyze human language; it is effective at extracting insight from text data but frequently requires large corpora to train its models, in the scale of thousands or millions of documents. This restricts its accessibility to those large enterprises with the capability to capture, store, manage, and analyze such corpora. This research explores a pilot study that applies NLP approaches, specifically topic modeling and large language models (LLM), to assist a small, family-owned business in assessing its strengths and weaknesses based on customer reviews. The relevant corpora of online Facebook, Google Reviews, TripAdvisor, and Yelp reviews is far smaller than ideal, numbering only in the hundreds. Results demonstrate that coherent and actionable insights from big-data approaches are obtainable and that small organizations are not automatically excluded from the benefits of these advanced analytical approaches, with complementary employment of both topic modeling and LLM presenting the greatest potential for similarly-positioned organizations to exploit.
Breaking out of the box: increasing the representation of disability within archive science
Authors: Pearson Abigail , Griffith Miro , Rakoska Burgandi , Harrison Christian , Schuitema Karian , Taşcıoğlu Ezgi 
Published: January 2024

AbstractThis article explores the value of archives in increasing the representation of disabled people in social policy, and research narratives, as well as building an identity of the Disabled People’s Movement beyond traditional activism, and the inclusion of young people and marginalised groups within archives. To achieve this, it is vital that archival studies and archival science engage with the conceptual understanding of disability and the different needs of disabled people, beyond the traditional focus on the medical model, to an understanding of the Social and Rights Models. This understanding will help to unify approaches to disability within the archive from both an archival science and humanities perspective to make sure that polices and approaches facilitate the participation and recognition of the wide experiences of disability. This will require re-evaluation of approaches to policy issues such as safeguarding and vulnerability, social media use and whose voice is worthy of preservation. Engagement with the broader field of disability studies in theory and practice offers a way for the field of archive science to address these issues.
Transcriptome Sequencing and Mass Spectrometry Reveal Genes Involved in the Non-mendelian Inheritance-Mediated Feather Growth Rate in Chicken
Authors: Qiu Mohan , Zhang Zengrong , Zhu Shiliang , Liu Siyang , Peng Han , Xiong Xia , Chen Jialei , Hu Chenming , Yang Li , Song Xiaoyan , Xia Bo , Yu Chunlin , Yang Chaowu 
Published: January 2024

AbstractThe feather growth rate in chickens included early and late feathering. We attempted to characterize the genes and pathways associated with the feather growth rate in chickens that are not in agreement with Mendelian inheritance. Gene expression profiles in the hair follicle tissues of late-feathering cocks (LC), early-feathering cocks (EC), late-feathering hens (LH), and early-feathering hens (EH) were acquired using RNA sequencing (RNA-seq), mass spectrometry (MS), and quantitative reverse transcription PCR (qRT‑PCR). A total of 188 differentially expressed genes (DEGs) were ascertained in EC vs. LC and 538 DEGs were identified in EH vs. LH. We observed that 14 up-regulated genes and 9 down-regulated genes were screened both in EC vs. LC and EH vs. LH. MS revealed that 41 and 138 differentially expressed proteins (DEPs) were screened out in EC vs. LC and EH vs. LH, respectively. Moreover, these DEGs and DEPs were enriched in multiple feather-related pathways, including JAK-STAT, MAPK, WNT, TGF-β, and calcium signaling pathways. qRT-PCR assay showed that the expression of WNT8A was decreased in LC compared with EC, while ALK and GRM4 expression were significantly up-regulated in EH relative to LH. This study helps to elucidate the potential mechanism of the feather growth rate in chickens that do not conform to genetic law.
Randomized placebo-controlled, double-blind clinical trial of nanoemulsion curcumin in women with aromatase inhibitor-induced arthropathy: an Alliance/NCORP pilot trial
Authors: Lustberg Maryam , Fan-Havard Patty , Wong F. Lennie , Hill Kasey , Phelps Mitch A. , Herrera Kevin W. , Tsai Ni-Chun , Synold Timothy , Feng Ye , Kalu Chidimma , Sedrak Mina S. , Yee Lisa D. 
Published: January 2024

Abstract
Purpose
Aromatase inhibitor (AI) therapy reduces risk of recurrence and death for postmenopausal women with breast cancer (BC); however, AI-induced arthralgia (AIIA) can lead to discontinuation of treatment. Curcumin, a bioactive polyphenolic substance, may help ameliorate inflammation-related conditions including osteoarthritis and pain.

Methods
We conducted a multisite randomized placebo-controlled, double-blind pilot trial (Alliance A22_Pilot9) to evaluate the effects of nanoemulsion curcumin (NEC, 200 mg/day) in postmenopausal women experiencing AIIA for ≥ 3 months. The primary objective was to determine the feasibility of using Functional Assessment of Cancer Treatment-Endocrine Symptoms (FACT-ES) to detect changes from 0 (T0) to 3 months (T3) of NEC treatment in AI-induced symptoms and well-being; secondary objectives included evaluation of changes in Disabilities of the Shoulder, Arm, and Hand (DASH), Brief Pain Inventory-short form (BPI-SF), grip strength, and biomarkers at T0 and T3.

Results
Forty-two patients were randomized to NEC or placebo; 34 women completed the 3-month study. Patient-reported outcome measures (PROMs: FACT-ES, DASH, BPI-SF) and biospecimens were collected at T0-T3 in > 80% of participants. Adherence was ≥ 90% for both arms. PROMs and grip strength did not differ significantly by treatment arm. Plasma curcumin was detected only in NEC arm participants. Serum estradiol and estrone levels were below detection or low on study agent. Gastrointestinal adverse effects were commonly reported in both arms.

Conclusion
NEC versus placebo in a multisite randomized trial is feasible and well-tolerated. Additional studies with larger sample size are needed to further evaluate the efficacy and safety of NEC in treatment of AIIA.
ClinicalTrials.gov Identifier: NCT03865992, first posted March 7, 2019.
A First Principles Mechanistic Study of Higher Alcohol Synthesis from Syngas on a Stepped Rhodium Surface
Authors: Arevalo Ryan Lacdao , Nakanishi Hiroshi 
Published: January 2024

AbstractThe mechanism of higher alcohol synthesis (HAS) from syngas on a stepped Rhodium surface was explored using first principles calculations based on density functional theory. Results showed that the activation of CO proceeds most energetically feasible via a sequential hydrogenation towards CH2OH, followed by the C–OH bond cleavage yielding CHx species. Because the initial CO hydrogenation step is highly activated, the cascade of elementary steps toward methane formation is highly favored. The formation of C2 oxygenates toward ethanol production is kinetically favored by CO insertion to CH2, or alternatively, by a lower activation barrier CHO insertion to CH3. On the other hand, the C3 species is formed more preferably by CO rather than CHO insertion to a CH3CH2 fragment, indicating the effect of a more extended carbon structure on the reaction mechanism. The overall reaction mechanism for HAS points to a cycle of CO insertion, hydrogenation, and OH elimination steps.
Graphical Abstract
Discrete Beta and Shifted Beta-Binomial models for rating and ranking data
Authors: Sciandra Mariangela , Fasola Salvatore , Albano Alessandro , Di Maria Chiara , Plaia Antonella 
Published: January 2024

AbstractRanking and rating methods for preference data result in a different underlying organization of data that can lead to manifold probabilistic approaches to data modelling. As an alternative to existing approaches, two new flexible probability distributions are discussed as a modelling framework: the Discrete Beta and the Shifted Beta-Binomial. Through the presentation of three real-world examples, we demonstrate the practical utility of these distributions. These illustrative cases show how these novel distributions can effectively address real-world challenges, with a particular focus on data derived from surveys concerning environmental issues. Our analysis highlights the new distributions’ capability to capture the inherent structures within preference data, offering valuable insights into the field.
Against Symmetry Fundamentalism
Authors: Lopez Cristian 
Published: January 2024

AbstractSymmetry fundamentalism claims that symmetries should be taken metaphysically seriously as part of the fundamental ontology. The main aim of this paper is to bring some novel objections against this view. I make two points. The first places symmetry fundamentalism within a broader network of philosophical commitments. I claim that symmetry fundamentalism entails idealization realism which, in turn, entails the reification of further theoretical structures. This might lead to an overloaded ontology as well as open the way to criticisms from metaphysical frameworks that reject such reifications. The second point contrasts symmetry fundamentalism with the now common view that regards symmetries as stipulations guiding empirical research and theory construction. I claim that both views clash each other and cannot be held together. I finish the paper with a more positive prospect that will be developed in future work—symmetry deflationism.
Diversity and language technology: how language modeling bias causes epistemic injustice
Authors: Helm Paula , Bella Gábor , Koch Gertraud , Giunchiglia Fausto 
Published: January 2024

AbstractIt is well known that AI-based language technology—large language models, machine translation systems, multilingual dictionaries, and corpora—is currently limited to three percent of the world’s most widely spoken, financially and politically backed languages. In response, recent efforts have sought to address the “digital language divide” by extending the reach of large language models to “underserved languages.” We show how some of these efforts tend to produce flawed solutions that adhere to a hard-wired representational preference for certain languages, which we call language modeling bias. Language modeling bias is a specific and under-studied form of linguistic bias were language technology by design favors certain languages, dialects, or sociolects with respect to others. We show that language modeling bias can result in systems that, while being precise regarding languages and cultures of dominant powers, are limited in the expression of socio-culturally relevant notions of other communities. We further argue that at the root of this problem lies a systematic tendency of technology developer communities to apply a simplistic understanding of diversity which does not do justice to the more profound differences that languages, and ultimately the communities that speak them, embody. Drawing on the concept of epistemic injustice, we point to the broader ethico-political implications and show how it can lead not only to a disregard for valuable aspects of diversity but also to an under-representation of the needs of marginalized language communities. Finally, we present an alternative socio-technical approach that is designed to tackle some of the analyzed problems.
High amount of fertility reducing tumors and procedures, but no evidence for premature ovarian failure in female Lynch syndrome patients
Authors: Biermann Sabine , Knapp Michael , Wieacker Peter , Aretz Stefan , Steinke-Lange Verena 
Published: January 2024

AbstractLynch syndrome (LS; HNPCC) patients carry heterozygous pathogenic germline variants in mismatch repair (MMR) genes, which have also been shown to play an important role in meiosis. Therefore, it was hypothesized, that LS might be associated with a higher risk for premature ovarian failure (POF) or earlier menopause. Data on medical gynaecological history, cancer diagnoses and therapy were collected from 167 female LS patients and compared to a population-based control cohort. There was no difference between the age of menopause in patients compared to controls and no evidence for a higher risk of POF in LS patients. However, around one third (35%) of the probands have already had premenopausal cancer and mostly cancer-related treatment affecting fertility before the age of 45 years. Therefore, childbearing time might still be limited in these patients, especially due to the premenopausal cancer risk. LS patients should be informed in time about the elevated premenopausal cancer risks and the possible impact on family planning. This is particularly relevant since the average childbearing age has increased during the last decades.
Brexit and the War for Talents: Push & pull evidence about competitiveness
Authors: Marini Giulio 
Published: January 2024

AbstractBrexit raised the question of whether the UK will continue to attract internationals. Here the focus is on academic staff – a critical component of the “War for Talents” discourse and current geopolitics in the field. Despite a clear trend of loss of EU internationals, at least among western EU countries, the UK more than compensates for this fall with extra-EU internationals. This is even more evident among younger generations. However, the most notable effect, also having a long-term impact as far as it deals with newer generations, is about average quality of such talents (in this study: salaries at parity of age). Brexit is reducing the capacity to attract/retain the best academics. This happens especially among younger cohorts, and if they come from countries that perform better in GDP per capita, R&D investment, but also national ranking in tolerance and creative class scores. Overall, Brexit is detrimental to the UK in relation to attraction of talents, cutting through a long-term pattern of success.
Understanding the growing contributions of China to leading international higher education journals
Authors: Zhao Kai , Liang Huiqing , Li Jiali 
Published: January 2024

AbstractInternational publications in social sciences by scholars based in mainland China have been increasing in volume, but little is known about the characteristics of China’s contribution. This study examines the characteristics and patterns of international publications by Chinese scholars in higher education research. Data from three internationalized higher education journals were analyzed from 2000 to 2022. The results show a consistent pattern of continuous growth in the annual number of published articles with Chinese affiliations, with a marked increase since 2016. International collaborations are the most common type of publication, a pattern that contrasts with other articles in the same journal. In addition, returnee scholars have made significant contributions to international publications. Finally, the research of Chinese scholars is as influential as that of their international peers in terms of citation counts. These findings highlight the constrained agency of Chinese actors in the center-periphery structure of the global knowledge production networks.