bluuebunny/crossref_metadata_2025_split huggingface dataset:
Remodeling of extracellular matrix collagen IV by MIG-6/papilin regulates neuronal architecture
Authors: Nadour Malika , Valette Reveno Leatis Robert I. , Biard Marie , Frébault Noémie , Rivollet Lise , St-Louis Philippe , Blanchette Cassandra R. , Thackeray Andrea , Perrat Paola , Bevilacqua Carlo , Prevedel Robert , Cappadocia Laurent , Rapti Georgia , Doitsidou Maria , Bénard Claire Y. 
Published: February 2025

ABSTRACTNeuronal architecture established embryonically must persist lifelong to ensure normal brain function. However, little is understood about the mechanisms behind the long-term maintenance of neuronal organization. To uncover maintenance mechanisms, we performed a suppressor screen insax-7/L1CAMmutants, which exhibit progressive disorganization with age. We identified the conserved extracellular matrix protein MIG-6/papilin as a key regulator of neuronal maintenance. Combining incisive molecular genetics, structural predictions,in vivoquantitative imaging, and cutting-edge Brillouin microscopy, we show that MIG-6/papilin remodels extracellular matrix collagen IV, working in concert with the secreted enzymes MIG-17/ADAMTS and PXN-2/peroxidasin. This remodeling impacts tissue biomechanics and ensures neuronal stability, even under increased mechanical stress. Our findings highlight an extracellular mechanism by which MIG-6/papilin supports the integrity of neuronal architecture throughout life. This work provides critical insights into the molecular basis of sustaining neuronal architecture and offers a foundation for understanding age-related and neurodegenerative disorders.
Philosophical and practical dimensions of Gramsci’s conjunctural analysis: a contribution to case study research
Authors: Gürcan Efe Can , Otero Gerardo 
Published: February 2025

PurposeThis article employs interpretive conceptual analysis to provide a coherent research philosophy and practical insights for conjunctural analysis as a Marxist alternative to traditional case study methods. How can Gramsci’s writings inform our understanding of research philosophy? How does this philosophy shape his own method as applied to the case of the French Revolution?Design/methodology/approachGramsci’s methodology is based on a dynamic and agentive understanding of what he calls “organized matter,” which is supplemented with a historicist epistemology. His philosophy brings to the fore the notion of “reciprocity” rather than mere causation and prioritizes the study of “regularities,” as opposed to fixed and universal laws. It incorporates both structural forces and human agency as valid sources of knowledge.FindingsUsing the French Revolution as a case study, Gramsci applies these principles to conjunctural analysis by examining socioeconomic convulsions as pivotal moments that elucidate the interaction between organic movements – indicative of profound, long-term structural changes such as the ascent of the bourgeoisie, the consolidation of their political power, industrialization, capitalist development and the emergence of the modern nation-state – and conjunctural periods, which are triggered by immediate, specific events precipitating these extensive structural transformations.Originality/valueThis article fills an important gap in the literature, considering that previous research has not systematically addressed Gramsci’s contributions to research philosophy and his study of the French Revolution using conjunctural analysis.
Robustness Optimization of the Tip Seat of an Indexable Cutting Tool
Authors: Camuz Soner , Liljerehn Anders , Lindkvist Lars , Wärmefjord Kristina , Söderberg Rikard 
Published: February 2025

Abstract
In the machining industry, fixturing of indexable inserts in the tool holders play a critical role in ensuring high-quality outcomes by minimizing insert movement during operations. Ensuring consistent pressure distribution in an indexable cutting tool interface is essential for extending the lifespan of a carbide insert. However, existing methods either lack the necessary complexity to accommodate varying loads or are overly intricate for implementation in the early stages of product development. To address this gap, a novel approach was developed that integrates the contact index algorithm into a robust locating scheme optimization. The results show that it is possible to design an indexable cutting tool where clearly defined contacting points (half-spheres) can support and maintain minimal movement in an indexable insert during its expected lifetime.
Evaluation of bacterial bioagents for controlling gray mold disease in tomatoes and promoting crop health
Authors: Rahman Md Mosaddekur , Almasoudi Najeeb M. , Asiry Khalid A. , Abo-Elyousr Kamal A. M. 
Published: February 2025

Abstract

Background
Tomato yield and quality are influenced by multiple factors, including conditions during cultivation, post-harvest handling and storage. Botrytis cinerea, the fungal pathogen causing gray mold disease, poses a significant threat to tomato production. This disease poses a serious challenge to tomato cultivation on a global scale, leading to significant crop losses and compromising food supply security. The purpose of this study was to assess the efficacy of three different bacterial bioagents, namely Pseudomonas fluorescens, Bacillus amyloliquefaciens and Pseudomonas chlororaphis, against B. cinerea.

Results
From the rhizosphere of a tomato field, 22 bacterial isolates were collected. Among them, three isolates, designated as 1, 8 and 11, displayed notable antagonistic effects against Botrytis cinerea during in vitro testing and were selected for further analysis. The bacteria were identified as Pseudomonas fluorescens, Bacillus amyloliquefaciens and P. chlororaphis through 16S rRNA gene sequencing. The experiments demonstrated that these three isolates significantly inhibited the growth of the pathogenic fungus and promoted plant growth, with B. amyloliquefaciens emerging as the most effective inhibitor, displaying the highest antifungal activity. In vitro and greenhouse experiment suggest that the bacterial isolates hold considerable promise as natural antagonists for managing gray mold disease in tomatoes. The study further recommends using all three isolates for controlling the gray mold, with B. amyloliquefaciens showing the most significant potential, evidenced by its consistently lower disease severity scores, achieving the highest % efficacy (85.75) compared to control.

Conclusions
The study emphasizes the significant potential of P. fluorescens, B. amyloliquefaciens and P. chlororaphis as effective bioagents to control tomato gray mold disease, B. cinerea. By directly targeting the fungal pathogen, these isolates provide an effective strategy for mitigating the adverse impacts of gray mold, contributing to higher crop yield and quality. Further research needs on open field trials and commercialization strategies for large-scale application of these bacterial bioagents.
Enhancing Precision and Efficiency in Dental Implants: The Art of Surgical Guides
Authors: Algermissen Eva 
Published: February 2025

Implant surgical guides play a crucial role in the success of dental implant treatments. By aiding in diagnosis, treatment planning, and precise positioning of implants, these guides ensure accurate placement in the jaw bone. There are two main types of surgical guides: customized conventional radiographic templates and computer-generated templates. While the former may lack important dimensions and anatomical information, the latter, made using 3D imaging, offer precise planning and efficient implant placement, reducing complications. However, inexperienced dentists must undergo appropriate training and consider critical anatomical structures. In summary, implant surgical guides enhance accuracy and improve the success rate of implant therapy, with the choice depending on patient needs and clinician expertise. CPD/Clinical Relevance: Implant surgical guides are important in ensuring accurate and successful dental implant treatments.
Ex vivo determination of perfusion-kinetic parameters in ovaries with granulosa cell carcinoma using reflectance spectroscopy
Authors: Selifonov Alexey A. , Rykhlov Andrey S. , Selifonova Ekaterina I. , Tuchin Valery V. 
Published: February 2025

Subject of study. In this study, the optical properties of healthy and cancerous feline ovarian tissues were examined under the influence of 99.5% glycerol, a highly effective hyperosmotic agent. Aim of study. The aim was to determine the perfusion-kinetic parameters of healthy and cancerous ovarian tissues under the influence of 99.5% glycerol. Method. The optical properties, specifically transmittance and reflectance of the tissue samples, were analyzed across a wide spectral range, from the ultraviolet to the near-infrared region, using diffuse optical spectroscopy. Main results. The diffuse reflectance and total transmittance spectra of the samples were measured. The diffusion coefficient of glycerol-induced interstitial water flux in ovarian tissue was calculated using the free diffusion model, Fick’s molecular diffusion equation, and the modified Bouguer–Beer–Lambert law for radiation attenuation. The tissue diffusion coefficient of water was determined as D=(2.2±0.5)×10−6cm2/s for healthy ovarian tissue and D=(2.6±0.6)×10−6cm2/s for ovarian tissue with granulosa cell cancer. Based on these coefficients, the time required for complete dehydration of the tissue samples under the influence of glycerol was estimated. Complete dehydration of healthy ovarian sections in the luteal phase occurred within 19.4 min, whereas granulosa cell tumor samples required 16.6 min. Practical significance. These findings may be applied to assess ovarian dehydration when using concentrated glycerol and to develop protocols for drug delivery and organ cryopreservation. The demonstrated optical clearing effect has potential therapeutic and diagnostic applications and can be leveraged to probe molecular structures deep within tissues. Additionally, this optical clearing technology, using hyperosmotic agents such as glycerol, enhances tissue transparency in the ultraviolet range and is suitable for ultraviolet biomedical spectroscopy and phototherapy.
Diagnostic of fatty liver using radiomics and deep learning models on non-contrast abdominal CT
Authors: Zhang Haoran , Liu Jinlong , Su Danyang , Bai Zhen , Wu Yan , Ma Yuanbo , Miao Qiuju , Wang Mingyue , Yang Xiaopeng 
Published: February 2025

Purpose
This study aims to explore the potential of non-contrast abdominal CT radiomics and deep learning models in accurately diagnosing fatty liver.

Materials and methods
The study retrospectively enrolled 840 individuals who underwent non-contrast abdominal CT and quantitative CT (QCT) examinations at the First Affiliated Hospital of Zhengzhou University from July 2022 to May 2023. Subsequently, these participants were divided into a training set (n = 539) and a testing set (n = 301) in a 9:5 ratio. The liver fat content measured by experienced radiologists using QCT technology served as the reference standard. The liver images from the non-contrast abdominal CT scans were then segmented as regions of interest (ROI) from which radiomics features were extracted. Two-dimensional (2D) and three-dimensional (3D) radiomics models, as well as 2D and 3D deep learning models, were developed, and machine learning models based on clinical data were constructed for the four-category diagnosis of fatty liver. The characteristic curves for each model were plotted, and area under the receiver operating characteristic curve (AUC) were calculated to assess their efficacy in the classification and diagnosis of fatty liver.

Results
A total of 840 participants were included (mean age 49.1 years ± 11.5 years [SD]; 581 males), of whom 610 (73%) had fatty liver. Among the patients with fatty liver, there were 302 with mild fatty liver (CT fat fraction of 5%–14%), 155 with moderate fatty liver (CT fat fraction of 14%–28%), and 153 with severe fatty liver (CT fat fraction >28%). Among all models used for diagnosing fatty liver, the 2D radiomics model based on the random forest algorithm achieved the highest AUC (0.973), while the 2D radiomics model based on the Bagging decision tree algorithm showed the highest sensitivity (0.873), specificity (0.939), accuracy (0.864), precision (0.880), and F1 score (0.876).

Conclusion
A systematic comparison was conducted on the performance of 2D and 3D radiomics models, as well as deep learning models, in the diagnosis of four-category fatty liver. This comprehensive model comparison provides a broader perspective for determining the optimal model for liver fat diagnosis. It was found that the 2D radiomics models based on the random forest and Bagging decision tree algorithms show high consistency with the QCT-based classification diagnosis of fatty liver used by experienced radiologists.
Potential impact/effect of alcohol abuse on human development: a theoretical approach
Authors: A. Ndifon Mary , S. Adiaha Monday 
Published: February 2025

A theoretical survey on the potential impact/effect of alcohol abuse on human development was carried-out. The impact of alcohol abuse on the victims has being proven negative, with consequences like health challenges, financial challenges including societal challenges being identified as factors dragging the society towards ruin.Â Â
Environmental vulnerability of people to brick kiln
Authors: K. Saha M. , Ara Rowshon , Danish Kadir S. , G. Mostafa M. 
Published: February 2025

The study aimed to assess the vulnerability to brick kilns hazards based on questionnaire surveys. It was conducted at 12 selected brick kiln clusters in Rajshahi and Gazipur Districts of Bangladesh. A total number of 700 respondents taking part in the survey from both the study areas. The study identified that most (75%) of the brick kilns were fixed chimney type kilns that impacted crop production, river grabbing, deforestation, solid waste generation, labors right violation, etc. The survey results illustrated that the emission of dust particles, harmful gases, and hot air cause several health hazards such as asthma, eye or skin irritation, etc. The brick kilns have exerted environmental stress on fruit plants such as mango, banana, jackfruit, etc., resulted declining in fruit production. The relationship between the brick kiln owners and community people is not well due to the negative impacts of brick kilns. About 69% of respondents thought that the brick kilns were a vital source of air pollution. Finally, the study concluded that the brick kilns caused threats to society, human health, and the environment around the kiln areas.Â Â
Memory boost for recurring emotional events is driven by initial amygdala response promoting stable neocortical patterns across repetitions
Authors: Krenz Valentina , Alink Arjen , Roozendaal Benno , Sommer Tobias , Schwabe Lars 
Published: February 2025

Emotionally arousing events are typically vividly remembered, which is generally adaptive but may contribute to mental disorders such as posttraumatic stress disorder. Previous research on emotional memory focused primarily on events that were experienced only once, leaving the memory mechanisms underlying repeatedly encountered emotional events largely unexplored. Here, we aimed to elucidate the brain mechanisms associated with memory for recurring emotional events. Specifically, we sought to determine whether the memory enhancement for recurring emotional events is linked to more variable neural representations, as predicted by the encoding-variability hypothesis, or to more stable representations across repetitions, as suggested by a memory reinstatement account. To investigate this, healthy men and women were repeatedly presented with images of emotionally negative or neutral scenes during three consecutive runs in an MRI scanner. Subsequent free recall was, as expected, enhanced for emotional compared to neutral images. Neural data showed that this emotional enhancement of memory was linked to (i) activation of the amygdala and anterior hippocampus during the initial encounter of the emotional event and (ii) increased neural pattern similarity in frontoparietal cortices across event repetitions. Most importantly, a multilevel moderated mediation analysis revealed that the impact of neocortical pattern stability across repetitions on emotional memory enhancement was moderated by amygdala activity during the initial exposure to the emotional event. Together, our findings show that the amygdala response during the initial encounter of an emotional event boosts subsequent remembering through a more precise reinstatement of the event representation during subsequent encounters of the same event.Significance statementDespite extensive research on emotional memory, the mechanisms underlying memory formation for recurrent emotional events remain elusive. We show that amygdala and anterior hippocampal activity is most prominent during the initial exposure to an aversive stimulus and decreases markedly with repeated exposure. Neocortical representation patterns of subsequently recalled emotional events, however, are more stable across the repeated encounters of emotional (vs. neutral) events, in line with a memory reinstatement account. Notably, this increased neocortical pattern stability was driven by the amygdala response during the initial exposure to an emotional event. These findings provide novel insights into the mechanisms involved in memory formation for recurrent emotional events, with potential implications for complex post-traumatic stress disorder characterized by multiple traumatic exposures.
Transforming business models through dynamic capabilities: The Netflix and Blockbuster Video cases
Authors: Semenov P. O. 
Published: February 2025

In this paper we look at the application of the theory and practice of dynamic capabilities of companies that adapt their current resources and competences. We review the Concept of Dynamic Capabilities that is developed by D.J. Teece, and discuss the context of the resource-based view and the Concept of Key Capabilities. In the article we highlight the three main components of dynamic capabilities: the sensory capabilities, the capacity to learn and strategic agility. The main part of the work includes an illustrative case of Netfl ix’s business transformation and the decline of Blockbuster Video. We take a closer look at the development of Netfl ix – its key business innovations in ‘delivering’ content to the customer and the collapse of Blockbuster Video – the reasons for its inability to sense the changing business environment.The conclusions of the cases are discussed through the prism of the three components of dynamic capabilities. We highlight which of these enabled the company to transform, develop new key capabilities and build competitive advantage.
Multivariable Linear Models Outperform 2-ΔΔCT for qPCR Data Analysis
Authors: H.Hampton Thomas , Taub Lily , Ferreria-Fukutani Kiyoshi , Stanton Bruce A. , MacKenzie Todd A. 
Published: February 2025

Abstract

Here we present a method based on multivariable linear models for qPCR data analysis as an alternative to the most commonly used method, 2−ΔΔCT. It has long been understood that amplification efficiency during qPCR may be less than two, that is, the amount of DNA present may not double in each cycle, and it is also known that amplification efficiency may differ between target and reference genes. Therefore, it has long been recommended that qPCR experiments include direct assessment of amplification efficiency, and that efficiency values be included in the calculation of differential gene expression. Nonetheless, current reports that include qPCR data continue to use 2−ΔΔCT, even though 2−ΔΔCT assumes an efficiency of two in both reference and target genes. Using multivariable linear models for qPCR data analysis does not require direct measurement of amplification efficiency but provides correct significance estimates for differential expression even when amplification is less than two or differs between target and reference genes. We introduce the logic behind using multivariable linear models in the context of qPCR data analysis, the mathematics behind using them, and provide simulations demonstrating that multivariable linear models outperform 2−ΔΔCT for qPCR data analysis.
Diferencias urbano-rurales en fundamentos morales: un enfoque meta-analítico
Authors: Castilla-Estévez David 
Published: February 2025

La división social entre el entorno rural y urbano no sólo implica diferencias en las condiciones de vida, sino que también se expresa en los diferentes valores y actitudes que predominan en uno u otro contexto. En este artículo se aborda la brecha rural-urbana desde el marco de la Teoría de los Fundamentos Morales (MFT). En concreto, se ha realizado un estudio meta-analítico para analizar las diferencias en fundamentos morales entre zonas rurales y urbanas. Una selección entre 6.093 artículos publicados y no publicados entre el 2017 y el 2020 dio como resultado una muestra de 13 estudios (k = 36; N = 200.099). Los resultados mostraron diferencias significativas pero insignificantes en los niveles de Justicia/engaño ( = -.074). El moderador más importante fue la escala utilizada para medir los fundamentos morales. De esta forma, el uso de escalas basadas en cualquier versión del Cuestionario de los Fundamentos Morales (MFQ) se asoció con niveles significativamente mayores de puntuaciones morales en las zonas rurales para Autoridad/subversión ( = -.127) y para Pureza/degradación ( = -.177). Se analizan las limitaciones derivadas del uso de escalas o ítems no basados en la MFQ, así como posibles limitaciones de la MFT en términos de generalizabilidad a muestras no occidentales.