bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predicting process quality in multi-stage manufacturing using AE-BilA: an autoencoder-BiLSTM with attention mechanism
Authors: Hady Haider N. , Hadi Russul H. , Hassoon Omar Hashim , Hasan Ahmed M. , Humaidi Amjad J. 
Published: February 2025

Abstract
As industrial processes grow more complex and increasingly rely on data-driven operations, the need for accurate quality predictions in manufacturing systems has increased. This paper introduces AE-BiLA, an Autoencoder-Bidirectional LSTM framework augmented with an Attention mechanism, to predict quality in multi-stage manufacturing processes (MMP). By employing a stacked-LSTM autoencoder, the approach reduces high-dimensional, noisy data while preserving essential information. The resulting compressed features are then passed to a Bidirectional LSTM, where the Attention mechanism highlights significant temporal patterns.&#xD;The proposed method was validated on a real-world MMP dataset. Stage 1 yielded an R^2 of 0.9452, reflecting strong capability in capturing upstream process dynamics. Stage 2 showed a lower R^2 of 0.7329, indicating increased complexity and variability at downstream stages. Notably, the Symmetric Mean Absolute Percentage Error (SMAPE) in Stage 2 was 1.9319, compared to 19.3583 for Stage 1, underscoring the model’s robustness against outliers and noise in later stages.&#xD; Future studies will investigate enhanced outlier mitigation methods and apply the proposed framework to diverse manufacturing scenarios, including batch and additive processes. Efforts will also center on refining computational efficiency for real-time deployment, ensuring AE-BiLA remains a scalable, intelligent solution for modern industrial quality monitoring.&#xD;
The Influence of Networks on Workers’ Well-Being
Authors: Mahdon Michelle , Gerbasi Alexandra 
Published: February 2025

Abstract
A growing body of evidence highlights the importance for our well-being of positive social interactions with others and that, without such connections, one’s physical and mental well-being deteriorate. Recent research finds that the content and structure of workplace networks impact employees’ well-being. That is, the well-being of one’s contacts, and in turn, the well-being of their contacts’ connections, influences one’s well-being. This chapter reviews the latest research evidence examining how social interactions with others, the content of one’s ties, and one’s network structure and position influence well-being both within and outside the workplace. The chapter identifies and discusses future research that can spur the creation of network-based well-being interventions and how organizations can use insights from the existing literature to harness the power of networks to enhance workforce well-being.
Combining Networks and Coaching to Spur Professional Development and Change
Authors: Chrobot-Mason Donna , O’Malley Ali 
Published: February 2025

Abstract
Networking and coaching can be integrated and used as tools to help individuals clarify a professional path forward. This chapter discusses coaching at three levels, (a) self, (b) dyad, and (c) cohort, to offer insights from experiences in a variety of contexts. This case highlights the power of engaging in a four-step process to utilize networks for professional development and realizing professional dreams. These steps consist of: (a) reconceptualizing what a network is and how important networks are in professional and personal success, (b) diagnosing an existing network by identifying gaps such as ties to different, desired industries or professions and identifying the utilization or underutilization of various network strategies, (c) strategizing the use of various tactics and network strategies to improve one’s network, and (d) action planning next steps through coaching and/or asking questions to empower clients to set goals, determine next steps, and ensure accountability.
Removing Knowledge-Sharing Barriers at the University of Texas MD Anderson Cancer Center
Authors: Cavanaugh Katelyn , Middleton Eric , Berkheiser Matthew 
Published: February 2025

Abstract
Recognizing the importance of knowledge sharing, leaders of a large, complex division within an academic healthcare institution sought information to guard against disruption by the retirement of key knowledge holders and improve the division’s overall functioning. A research-practice partnership was built to address these needs. The team undertook a three-phase process, which included a deep background investigation into the current state of the division, six intradepartmental active organizational network analyses focused on knowledge sharing within each department, and one interdepartmental active organizational network analysis focused on knowledge sharing among leadership teams in the division. Each phase revealed numerous insights, which informed the next steps. Insights were shared via customized reports with stakeholders. Division leaders reported that the results seemed accurate, the process was valuable, some misconceptions were corrected, and the insights informed several key decisions.
Introduction: Cultivating Race
Authors: Tischler Julia 
Published: February 2025

Abstract
The Introduction provides examples of ongoing contestations over agricultural reform in South Africa. Historicizing these debates, it argues that struggles over agriculture in twentieth-century South Africa have been inextricably linked to struggles over race. Knowledge—in the sense of technical skills but also self-identifications and notions of belonging—is central to understanding the development of the vast asymmetries in South Africa’s agrarian economy, which sees commercial farming in the hands of relatively few and predominantly white entrepreneurs. Both agricultural knowledge and racial identities and policies have been forged through multiple transnational links. South African experiences and their multiple transnational connections, I argue, offer important insights into the rise of what its proponents called ‘scientific’ or ‘progressive’ farming and the intertwined construction of a ‘global colour line’. The introduction explains the book’s methodology and outlines its contributions to the historiography of South Africa, the transnational historiographies of progressivism and (rural) social reform, as well as a gendered history of agriculture.
Pan-African Agrarianism
Authors: Tischler Julia 
Published: February 2025

Abstract
Chapter 2 highlights how the local progressive movement in the eastern Cape was embedded in broader politics of Black agrarianism and anti-racism, revolving around the famous African American educator Booker T. Washington and his Tuskegee Institute in Alabama. The various ways in which the ‘American Negro’ captured rural Black South Africans’ imaginations shed new light on the complex legacies of Tuskegeeism in Africa, which recent scholarship has mainly discussed as a colonial model for educating nominally free but de facto coerced Black labour after the abolition of slavery. In contrast, Chapter 2 argues that, although agrarianism was a conservative, classist form of Black solidarity, it nevertheless constituted a strand of Pan-Africanism and anti-racist politics that opened up concrete opportunities for Black producers. Black agricultural reformers on both sides of the Atlantic struggled to advance similar visions of rural self-determination based on independent small-scale farming. In the sharecropping economy of the US South as well as in the overcrowded eastern Cape reserves, Black farmers saw in agrarian progressivism a means by which to keep themselves out of dependent labour relations. At the same time, Black South African farmers were selective in appropriating Tuskegeeism, using it as a framework to conceptualize and politicize local grievances.
Rural Reconstruction in the Imperial Orange River Colony
Authors: Tischler Julia 
Published: February 2025

Abstract
In the first half of the twentieth century, the Highveld, whose natural resources and agrarian economy had been ravaged during the South African War, developed from an agricultural hinterland to become the bread basket of South Africa—albeit via a slow, highly state-assisted and uneven process. Chapter 6 charts the role of agricultural education and the emerging agricultural bureaucracy in the rebuilding of the Orange River Colony (ORC) after the war. The proliferation of specific farming techniques and practices was a cooperative project, with practising farmers working together with the emerging bureaucracy on combining agriculture with science. Agricultural progressivism in the ORC aimed at reconciling erstwhile enemies under a common umbrella of white middle-class citizenship. At the same time, it was equally embedded in transnational politics of white solidarity and settler colonialism, with ORC reformers drawing on examples from other white Anglophone nations, primarily Canada and the United States, for specific agricultural techniques and policies. Dry-farming and other agricultural techniques fed into the politics of territorial occupation and indigenous displacement that underpinned settler colonialism.
Survival path model outperforms conventional static machine learning models in long-term dynamic prognosis prediction for patients with intermediate stage hepatocellular carcinoma
Authors: Shen Lujun , Zhang Tao , Xu Jian , Jiang Yiquan , Cao Fei , Chen Qifeng , Li Chen , Nuerhashi Gulijiayina , Li Wang , Wu Peihong , Fan Weijun 
Published: February 2025

Abstract

Background
Patients with intermediate stage hepatocellular carcinoma (HCC) require repeated disease monitoring, prognosis assessment and treatment planning. A novel machine learning model called survival path mapping (SP) model was developed, while its performance as compared with conventional machine learning models remains unknown.

Methods
Between January 2007 and Dec 2018, the time-series data of 2644 intermediate stage HCC patients from four medical centers in China were reviewed and included. Static machine learning models by Gaussian Naive Bayes (GNB), Support Vector Machine (SVM) and Random Forest (RF) for prediction of survivorship were built based on data at initial admission. Longitudinal data divided into different time slices were utilized for construction of the SP model. The time-dependent c-index were compared between models.

Results
The training set, internal testing set and external testing set consisted of 1560, 670 and 414 HCC patients, respectively. The survival path model had superior or non-inferior performance in prognosis prediction compared to GNB and RF models since the 12th month after initial diagnosis in the training set and external testing set. The survival path model had higher time-dependent c-index over all conventional ML models since the 6th month in the external testing cohort.

Conclusions
The survival path model had superior performance in long-term dynamic prognosis prediction compared to conventional static machine learning models for intermediate stage HCC.
MOSTPLAS: A Self-correction Multi-label Learning Model for Plasmid Host Range Prediction
Authors: Zou Wei , Ji Yongxin , Guan Jiaojiao , Sun Yanni 
Published: February 2025

Abstract

Motivation
Plasmids play an essential role in horizontal gene transfer, aiding their host bacteria in acquiring beneficial traits like antibiotic and metal resistance. There exists some plasmids that can transfer, replicate or persist in multiple organisms. Identifying the relatively complete host range of these plasmids provides insights into how plasmids promote bacterial evolution. To achieve this, we can apply multi-label learning models for plasmid host range prediction. However, there are no databases providing the detailed and complete host labels of these broad-host-range (BHR) plasmids. Without adequate well-annotated training samples, learning models can fail to extract discriminative feature representations for plasmid host prediction.

Results
To address this problem, we propose a self-correction multi-label learning model called MOSTPLAS. We design a pseudo label learning algorithm and a self-correction asymmetric loss to facilitate the training of multi-label learning model with samples containing some unknown missing labels. We conducted a series of experiments on NCBI RefSeq plasmid database, PLSDB 2025 database, plasmids with experimentally determined host labels, Hi-C dataset and DoriC dataset. The benchmark results against other plasmid host range prediction tools demonstrated that MOSTPLAS recognized more host labels while keeping a high precision.

Availability and implementation
MOSTPLAS is implemented with Python, which can be downloaded at https://github.com/wzou96/MOSTPLAS. All relevant data we used in the experiments can be found at 10.5281/zenodo.14708999.

Contact and Supplementary Information
Please contact: yannisun@cityu.edu.hk. Supplementary data are available at Bioinformatics online.
A Robust Layer-Motif Composed of Binaphthyl Dibenzoic Acid Derivatives in Inclusion Crystals
Authors: Fujiwara Ayano , Oketani Ryusei , Hisaki Ichiro 
Published: February 2025

Abstract
Although it is easy to make a low dimensional supramolecular motif using directional hydrogen bonds, further high dimensional structures remain difficult to assemble as designed. Herein, we demonstrate that a hydrogen-bonded zigzag 1D motifs composed of a racemic binaphthyl derivative can form common 2D sheet structures in inclusion crystals through the shape-fitted alignment, combined with self-complementary C-H···O interactions. Moreover, one of the inclusion crystals underwent single crystal-to-single crystal transformation from a solvate into a solvent free crystal via removal of the guest molecules and slippage of the 2D sheet structure, indicating the robustness of the 2D sheet motif, and therefore, which can be applied as a secondary supramolecular synthon to construct higher dimensional structures.
Cardiac Diagnoses and Long-Term Outcomes in Ring-Like Late Gadolinium Enhancement Evaluated by Cardiac Magnetic Resonance
Authors: Filomena Domenico , Vandenberk Bert , Dresselaers Tom , Willems Rik , Masci Pier Giorgio , Robyns Tomas , Bogaert Jan 
Published: February 2025

Abstract

Aims
Non-ischemic ring-like late gadolinium enhancement (LGE) in the left ventricle (LV) detected by cardiac magnetic resonance (CMR) is an emerging biomarker associated with adverse outcomes. Data regarding ring-like LGE are limited to small patient cohorts. We aimed to assess the prevalence of ring-like LGE, its association with morpho-functional phenotypes, aetiologic background, and prognostic implications.

Methods and Results
This single-center observational retrospective study included consecutive patients undergoing LGE-CMR between 2002 and 2024. Ring-like LGE was defined as continuous enhancement in ≥3 adjacent segments. Ischemic and amyloid cardiomyopathies were excluded. Clinical records were reviewed for etiologic diagnosis and clinical outcomes. The primary endpoint was a composite of all-cause mortality, heart transplantation, or LV assist device implantation. The secondary endpoint included sustained ventricular tachycardia, appropriate implantable cardioverter-defibrillator therapies, or sudden cardiac death.
Among 14,091 unique patients who underwent LGE-CMR, ring-like LGE was identified in 152 patients (1.1%) with a median number of 10 segments, mostly involving the inferolateral segments. The most frequent morpho-functional phenotypes were dilated and non-dilated LV cardiomyopathy. Genetic testing identified likely pathogenic/pathogenic variants in 59 (58.4%) patients, affecting both desmosomal and non-desmosomal genes. Inflammatory cardiomyopathy was diagnosed in 15.8%. Other rare aetiologies included genetic neuromuscular diseases and inborn errors of metabolism. Primary and secondary endpoints occurred in 17.8% and 17.1%, respectively, over a median follow-up of 3 years.

Conclusion
Ring-like LGE is an uncommon, non-disease-specific feature found in various morpho-functional CMP phenotypes. It is associated with frequent genetically determined aetiologies and a high burden of adverse outcomes.
Exploration of techniques for the enhancement of latent fingermarks from fired and unfired cartridge cases: a systematic review
Authors: Abedi Maxwell , Mabasa Christopher , Mabudusha Sekgololo Angel 
Published: February 2025

Abstract
The ability to develop latent fingermarks from fired and unfired cartridge cases can be crucial in resolving crime cases and advancing forensic investigations. Currently, there is a lack of consensus on the ideal technique to employ for the enhancement of latent fingermarks from fired and unfired cartridge cases. This review therefore aims to explore techniques and methods employed to develop latent fingermarks from fired and unfired cartridge cases. A systematic search of peer-reviewed original articles was performed from four main electronic databases: ScienceDirect, Scopus, Google Scholar, and PubMed. According to data from our review, the most well-established method for developing latent fingermarks from fired and unfired cartridge cases remains the sequential application of cyanoacrylate fuming, followed by gun bluing, and the application of a fluorescent dye called basic yellow 40. This review also discusses the current scope of research, highlights the limitations, and provides practical recommendations for future perspectives.
Psychological resilience and cognitive functioning in Black and White men and women
Authors: Scambray Kiana A , Morris Emily P , Palms Jordan D , Lee Ji Hyun , Sol Ketlyne , Zahodne Laura B 
Published: February 2025

Abstract

Background and Objectives
Psychological resilience is associated with better physical and mental health, but little is known about its role in cognitive health from an intersectional perspective. This study aimed to assess the relationship between psychological resilience and cognitive function across subgroups of older non-Hispanic Black and White men and women while taking stress exposure into account.

Research Design and Methods
453 participants (Black men=87; Black women=147; White men=98; White women=121) from the Michigan Cognitive Aging Project completed the Brief Resilience Scale and a neuropsychological battery. ANOVAs were used to assess differences in psychological resilience across the intersection of gender and race. Linear regressions assessed relationships between psychological resilience and global cognition, controlling for sociodemographics and discrimination. Interaction terms and stratified regressions characterized these relationships across intersectional groups.

Results
Level of psychological resilience did not differ across intersectional groups despite differences in stress exposure. Higher resilience was associated with better global cognition in the whole sample (β= 0.12, p=.002), but this association was found only among Black men (β=0.40, p&lt;.001).

Discussion and Implications
Levels of resilience did not differ between Black and White older adults, despite disproportionate stress exposure among Black older adults. Links between psychological resilience and cognition may depend on stressors and resources that are differentially patterned across intersectional groups. Psychological resilience may be particularly important for cognitive health among Black men, who are frequently underrepresented in cognitive aging research.
Women Politicians Responding to Patriarchy in Postconflict Nepal
Authors: K C Luna 
Published: February 2025

Abstract
Women’s movements have played a crucial role in fighting for women’s rights and freedoms. Some women join the armed movements in search of equality. Women have participated in grassroots movements demanding space in the political arena. For example, postwar countries like Burundi, Nepal, Sri Lanka and Rwanda have effectively passed women’s quota seats (as part of a peace deal) thanks to women’s movements, and this has helped women to enter politics. Despite the formal progress in descriptive representation, women politicians face backlash. Feminist scholars argue that the rise of anti-feminist values threatens women’s gains. Building on this argument, this study investigates how female politicians responded to patriarchy in postwar Nepal. It asks how women who enter political spaces navigate patriarchy while sustaining their political positions and power. The paper's findings offer three distinct categories of female politicians (risk-takers, opportunity seekers, and opt-to-disengage). Categorization unpacks diverse strategies and tactics women politicians developed to respond to patriarchy, retain positions and power, and make their current and future political and personal decisions. The study relies on thirty-one in-depth interviews conducted with women politicians. This paper enhances existing debates on patriarchy and women politicians and an understanding of quota politics.
Murine gut microbial interactions exert anti-hyperglycemic effects
Authors: Guo Liying , Xu Libing , Nie Yanhong , Liu Lu , Liu Zongping , Yang Yunpeng 
Published: February 2025

Abstract
The correlations between gut microbiota and host metabolism had been studied extensively, whereas little relevant work had been done to investigate the impact of gut microbial interactions on host metabolism. Assisted with bacteriocin-targeting strategy, we aimed to identify the glucose and lipid metabolism-associated gut microbes by adjusting the gut microbial composition of high-fat diet-fed mice. To fulfill this goal, the Listeria monocytogenes-derived bacteriocin Lmo2776 secretion module was constructed and integrated into the genome of Escherichia coli Nissle 1917, yielding the Lmo2776-secreting strain EcN-2776. EcN-2776 administration decreased the blood glucose and increased the serum triglyceride of high-fat diet-fed mice. 16S rRNA gene amplicon sequencing indicated that intestinal secretion of Lmo2776 adjusted the gut microbial composition of high-fat diet-fed mice. Specifically, Lmo2776 restricted the growth of Ligilactobacillus murinus, thus alleviating its inhibitory impact towards Faecalibaculum rodentium. Further analyses indicated that Faecalibaculum rodentium administration decreased the fasting blood glucose of high-fat diet-fed mice, which might be achieved by the intestinal consumption of glucose by Faecalibaculum rodentium. Our study identified the glucose metabolism-associated gut microbes, uncovered their interactions, deciphered the impact of gut microbial interaction on host glucose metabolism, and paved the way for treating hyperglycemia from the perspective of gut microbial interactions.