bluuebunny/crossref_metadata_2025_split huggingface dataset:
Revolutionizing Tool Management in Oil and Gas Facilities
Authors: Daher Elie , Schoeib Sameh 
Published: September 2024

Abstract
One of the key challenges to worker productivity is increasing tool time. One way to increase worker productivity is to ensure that workers have easy access to the equipment they need and ensure that the equipment can be effectively tracked, maintained and is ready for use.
The Automated In-Plant Equipment Center (AIPEC) is an automated warehouse with all the required equipment set up on the worksite itself. The AIPEC is a groundbreaking innovation in safety tool management within oil and gas facilities and refineries. Acting as the central point of onsite distribution, the AIPEC streamlines the process of accessing essential safety tools and breathing air for workers and contractors. Through a seamless interface where workers can simply use their badges to rent required equipment, the AIPEC ensures a highly automated, cost-effective, efficient, and reliable tool tracking and inventory management system.
Key benefits of the AIPEC include the supply of rental equipment needed by both clients and contractors, accurate billing, and comprehensive usage reporting. The integration of breathing air solutions with the refill station further enhances its utility, providing a holistic safety solution. With electronic distribution of safety tools and equipment, the AIPEC eliminates the inefficiencies and uncertainties associated with manual tracking methods, ensuring precise management of inventory and usage.
Designed specifically for downstream environments, the AIPEC addresses the unique needs and challenges of oil and gas facilities. By centralizing the distribution and management of safety tools, it optimizes operational efficiency while enhancing safety protocols. The AIPEC not only reduces the time and effort required for equipment procurement but also minimizes the risk of inventory discrepancies and ensures compliance with safety regulations.
In conclusion, the AIPEC represents a transformative advancement in safety tool management for oil and gas organizations. By leveraging automation and advanced tracking technologies, it enables facilities to achieve unprecedented levels of efficiency, reliability, and safety. Embracing the AIPEC solution underscores the industry's commitment to innovation and proactive risk management, setting new standards for operational excellence in the downstream sector.
Facet-Specific Gas Transport Properties of Metal–Organic Frameworks in Polymer Nanocomposites
Authors: Smith Zachary , Lee Hyunhee , Z.D. Moein Hajian , Joo Taigyu , Wu Wan-Ni , Yeo Jing , Lee Tae Hoon , Howe Joshua 
Published: September 2024

Abstract

Metal–Organic Frameworks (MOFs) hold significant potential for various applications in gas, liquid, and ion separations. However, while MOF-based nanocomposite research is growing, facet-specific studies on molecular transport are rare. Here, a pioneering investigation into facet-specific gas transport in nanocomposites was conducted using ZIF-8, with exposed {110} or {100} facets interacting with a polyimide. Despite their otherwise near-identical properties, the higher energy {100} facet showed more significant MOF–polymer interactions, resulting in substantially stronger binding with the polymer, which was corroborated by DFT calculations. This phenomenon leads to unique gas transport trends: the {110} facet promotes propylene/propane separations, while the {100} facet enhances hydrogen-based (H2/N2, CH4) and ethylene/ethane separation, particularly at subambient temperatures and mainly by diffusion selectivity. This study provides insights into an largely unexplored area of MOF–polymer composites. Gas transport properties are significantly influenced by surface-dependent interactions for MOF–polymer hybrid materials, enabling unique separation properties through simple engineering of the MOF surface.
Humanizing the endocrine milieu of female mice for women’s health-related studies
Authors: Constantin Céline , Matvienko Daria , laszlo csaba , Scabia Valentina , Battista Laura , Binz Pierre-Alain , Bruce Stephen , Brisken Cathrin 
Published: September 2024

Abstract

To improve on the quality of preclinical studies and their clinical translatability, patient-derived xenograft (PDX) models are increasingly used because they reflect inter- and intra-patient heterogeneity as well as human-specific tumor cell characteristics. However, the endocrine milieu of human patients, which affects grafted tumor cells may differ from mice. This is a growing concern as evidence of sex-specific biology in cancer has accumulated and an increase in the incidence of endocrine-related cancers has been observed highlighting the need to correctly reflect the hormonal milieu in PDX models. Here, we address the need to better model different female endocrine milieus in xenograft studies. Using an improved Liquid Chromatography-Mass Spectrometry (LC-MS) protocol for concomitant analysis of four different ovarian steroids in low volume plasma samples, we show that female mice of NOD.Cg-Prkdcscid Il2rgtm1Wjl/SzJ (NSG) strain frequently used for xenografts have 17-β-estradiol (E2) and testosterone (T) levels comparable to widely used C57Bl6 strain but higher progesterone (P4) levels. While NSG E2 levels are comparable, T levels are lower and P4 levels higher compared to those observed in menopausal women. Following ovariectomy, T levels increase to those found in postmenopausal women. Subcutaneous implantation of E2 and combined E2 and P4 silicon pellets mimic ovarian hormone levels of premenopausal women in follicular and luteal phase of the menstrual cycle. Thus, straightforward procedures can effectively humanize the endocrine environment of experimental animals and improve physiologic relevance in women’s health-related research.
Association of impaired sleep, depressive symptoms and pain with physical activity and exercise intervention adherence
Authors: Kekkonen Eija , Hall Anette , Antikainen Riitta , Havulinna Satu , Kivipelto Miia , Kulmala Jenni , Laatikainen Tiina , Paajanen Teemu , Sindi Shireen , Soininen Hilkka , Strandberg Timo , Tuomilehto Jaakko , Ngandu Tiia , Solomon Alina 
Published: September 2024

Abstract

Background
Physical activity (PA) and exercise interventions are beneficial for health and can reduce dementia risk. However, there might be barriers to engage in PA, such as sleep problems, depressive symptoms and pain, which are common complaints with older adults. We investigated the association between sleep duration, sleep quality, depressive symptoms, and pain with adherence to exercise intervention and self-reported PA in a 2-year randomized controlled trial using multidomain lifestyle intervention (post-hoc analyses).
Methods
The FINGER trial included 1259 individuals at risk for dementia, aged 60–77 years who were randomized (1:1) to a multidomain lifestyle intervention (exercise, diet, cognitive training, vascular risk factor management) or a control (regular health advice) group. Logistic regression analyses were used with exercise adherence (adherent: ≥66% participation) or self-reported PA (active: ≥2 times/week) as outcomes, adjusted for relevant baseline characteristics. Data on PA at baseline and at 2-years were available for 1100 participants.
Results
The intervention group participants sleeping < 6h or ≥ 9h per night were less likely to be adherent compared with the participants sleeping ≥ 7–<8h, (OR 0.46, 95% CI 0.21–0.99 and OR 0.38, 95% CI 0.20–0.74, respectively). The intervention group participants were more likely to be physically active than those in the control group at two years. This intervention benefit did not significantly differ by baseline sleep duration, depressive symptoms, or pain (p > 0.3 for all interactions). Regardless of randomization group, those sleeping < 6h were less likely to be physically active at two years, compared with participants sleeping ≥ 7–<8h (OR 0.36, 95% CI 0.18–0.72). Depressive symptoms or pain were not related to PA at two years.
Conclusions
Older adults with sleep problems, depressive symptoms or pain may benefit from lifestyle interventions. However, both short and long sleep duration can be barriers to engaging in exercise intervention and should be taken into consideration when aiming to promote PA among older populations at risk of dementia.
Trial registration:
The FINGER trial was registered at ClinicalTrials.gov with identifier NCT01041989.
Eyestrains among smartphone users while watching videos in Taipei MRT carriages: A comparison between sitting and standing postures
Authors: Chen Yi-Lang , Chu Kuo-Hao , Huang Po-Chun , Ho Chieh-Ting , Nguyen Hong-Tam 
Published: September 2024

Abstract

In Taipei's MRT carriages, many passengers watch videos on their smartphones during their daily commutes, but the impact of carriage movement on visual load remains understudied. Our study investigated eyestrain in 48 young participants (24 men and 24 women) while viewing films on smartphones in MRT carriages. We examined two viewing postures (sitting and standing) and two durations (15 and 30 min), measuring critical flicker fusion frequency (CFF) reduction, visual fatigue scale (VFS) scores, and viewing distance (VD). The results indicated that the main effects of the independent variables were nearly all significant, with two-way interactions (sex x posture and posture x time) significantly affecting most responses. Women exhibited notable differences between postures, with higher CFF reduction when sitting compared to standing (3.47 Hz vs. 1.90 Hz; p < 0.001) and shorter VD when sitting compared to standing (25.5 cm vs. 34.3 cm; p < 0.001). Conversely, standing led to higher VFS scores for women compared to sitting (8.94 vs. 4.60; p < 0.001). This suggests that women may be more sensitive to motion sickness, particularly when standing in a moving MRT carriage. Men showed higher CFF reduction while standing compared to women (p < 0.01), but no significant difference between sexes while sitting. Visual fatigue indices were significantly higher after 30 min of viewing compared to 15 min, with amplified effects on VFS score and VD. These findings support the recommendation that users should take a break after 20 min of smartphone use, even in MRT carriages. Although subjective fatigue may not always be perceived, watching videos while sitting in MRT carriages leads to unexpectedly high objective visual fatigue (i.e., CFF reduction), necessitating greater caution.
Analysis of main controlling factors of oil well productivity in tight reservoir of Xiasiwan Oilfield
Authors: Zhong Pinzhi , Dong Lifei , Wei Haiyu , Yu Bo , Zhang Qi , Tong Fantao , Wang Miao 
Published: September 2024

Abstract

Xiasiwan Oilfield, located in the southwest Yan'an block of the Ordos Basin, has large geological reserves, but the actual productivity of some oil wells is low. To analyze the reasons for poor oil well productivity, this paper examines the QZ block of Xiasiwan Oilfield as a case study. Based on investigation and actual production characteristics, it adopts a multivariate nonlinear regression model, stochastic forest model, and BP neural network model to comprehensively evaluate the impact of various geological development factors on oil production and clarify the main controlling factors of oil well productivity in tight reservoirs. By comparing the evaluation criteria among the three models, the study analyzes the explanatory power and generalization ability of the models and verifies their accuracy. The results show that oil saturation, porosity, permeability, closing stress, and reservoir thickness are the main factors influencing oil production, in order of significance, with oil saturation being the primary controlling factor affecting oil well productivity. The stochastic forest model is the most balanced and robust among the three models, demonstrating strong generalization ability and resistance to overfitting. This study provides a scientific basis for the efficient development of Xiasiwan Oilfield and helps optimize the oilfield development strategy.
Establishment of potential reference measurement procedure and reference materials for EML4-ALK fusion variants measurement
Authors: Yang Yi , Zhang Yu , Zhou Shujun , Wang Xia , Niu Chunyan , Zhang Yongzhuo , Dong Lianhua 
Published: September 2024

Abstract

EML4-ALK fusion gene detection is of great significance in personalized tumor treatment. With the development of EML4-ALK fusion variants detection, it is necessary to establish traceability to ensure the consistency and comparability of its detection results in clinical practice. The establishment of traceability relies on SI traceable reference materials (RMs) and potential reference measurement procedures (RMPs). In this study, a potential RMP for the quantitative detection of V1 and V3 fusion mutations and the reference type (ALK-ref, including wild type, V1 and V3 mutant type) based on reverse transcription dPCR (RT-dPCR) and EML4-ALK fusion gene RMs were established. The proposed potential RMP has high specificity, good inter-laboratory reproducibility (CV < 7.3%) and good linear relationship (0.92 < slope < 1.06, R2 ≧ 0.99). The limit of detection (LoD) of V1, V3, and ALK-ref are 2 copies/reaction, 2 copies/reaction, and 1 copy/reaction, respectively. Interlaboratory studies using the EML4-ALK RMs and potential RMP showed that participating laboratories can produce consistent copy concentrations of fusion variant and ALK-ref as well as the ratio of EML4-ALK/ALK-ref. The established potential RMP with high specificity and accuracy can be used to characterize the EML4-ALK RMs, and the potential RMP and RM are useful to establish the traceability of EML4-ALK fusion measurement to improve the comparability and consistency in clinical tests.
Systemic aspects of brachycephalic obstructive airway syndrome
Authors: Facin Andréia C. , Rein Ariadne , Fabris Isabella de Almeida , Gasser Beatriz , Aires Luiz Paulo Nogueira , Lima Bruna Bressianini , Gandra Daniela Azevedo , Silva Daniela Gomes da , Uscategui Ricardo Andres Ramirez , Feliciano Marcus Antônio Rossi , Moraes Paola C. 
Published: September 2024

Abstract

The aim of the study was to evaluate systemic health variables in brachycephalic dogs affected by brachycephalic obstructive airway syndrome (BOAS) and compare them with mesocephalic dogs, assessing if any changes are related to BOAS grades. Fifty-two prospectively recruited client-owned brachycephalic dogs were included: 34 French bulldogs and 18 pugs, and 15 laboratory-owned beagle dogs. Each dog had undergone full physical exam, BOAS functional grading and sampling of venous and arterial blood. Arterial blood gas analysis, hematologic, biochemistry and acute phase proteins analysis were performed. Fifty-two brachycephalic dogs showed evident features of BOAS systemic consequences evidenced by hypoventilation state (higher levels of arterial partial pressure of carbon dioxide (PaCO2), p = 0.017), a subclinical inflammatory state (higher levels of alpha-1-acid glycoprotein (AGP), p < 0.001 and haptoglobin, p = 0.036), higher hematocrit (HCT, p = 0.045), and creatinine, total protein (TP, (p < 0.001) and lactate levels (p = 0.006). The variables hemoglobin (HGB), HCT, total protein, AGP, PaCO2, arterial base excess and arterial bicarbonate (HCO3-) were the most correlated (72%) with the BOAS functional grades in the analyzed data. BOAS grades were related to signs of hypoventilation, a subclinical inflammatory state, and higher hematocrit which suggest a systemic impact of the brachycephalic respiratory abnormalities.
Cytochrome c oxidase dependent respiration is essential for T cell activation, proliferation and memory formation
Authors: McGuire Peter , Tarasenko Tatiana , Warren Emily , Fuchs Amanda , Singh Bharati , Marin Jose , Szibor Marten 
Published: September 2024

Abstract

AAlthough glycolysis has received considerable attention in activated T cells, the utility and requirement of cytochrome c oxidase (COX) mediated mitochondrial respiration (MR) in T cell activation and function remain incompletely understood. To address this, we re-introduced MR via an alternative oxidase (AOX) from Ciona intestinalis into COX deficient T cells. Our findings reveal that MR serves as a critical safety valve for metabolic reprogramming during T cell activation, managing electron pressure and maintaining cellular redox balance. AOX-mediated MR restored mitochondrial function, reduced oxidative stress, and enhanced ATP production. This resulted in the elimination of the secondary effects of COX dysfunction, such as apoptosis and metabolic perturbations in glycolysis and the tricarboxylic acid cycle, thereby supporting robust effector and memory T cell generation and function. Our results underscore the importance of maintaining COX integrity for overall cellular health and emphasize the pivotal role of MR in T cell cellular proliferation and differentiation.
The heightened impact of COVID-19 on emotional wellbeing and delays in care in patients with cutaneous T-cell lymphoma: A cross-sectional study
Authors: Munjal Ananya , Sun Yage , Rosen Kyle , Slavinsky Victoria , Burns Austin , Rozati Sima 
Published: September 2024

Abstract

The COVID-19 pandemic significantly affected healthcare delivery in specialties like dermatology and oncology. While previous studies have demonstrated the risk of cutaneous T-cell lymphoma (CTCL) disease progression during the pandemic, our study sought to delve deeper into patient-reported experiences with this condition– including anxiety, depression, and self-reported delays in care. Our study found that a significant proportion of CTCL patients reported symptoms of anxiety, worrying, anhedonia, and depression during COVID-19, and that reported rates of anxiety were higher than in the general Maryland population. This study also uncovered a significant association between CTCL stage and patient-reported outcomes, with early-stage patients reporting higher symptoms of anxiety, worrying, and anhedonia. We believe these findings in our diverse patient population contribute valuable insights into the patient experience, raise awareness for the challenges faced by CTCL patients, and emphasize the importance of tailored multidisciplinary support to reduce barriers to care.
HNRNPAB is involved in the development of gastric cancer by regulating EMT through the AkT-GSK3β-Wnt signaling pathway
Authors: Huiru Luo , Traore Aime Gael Yaya , Hu Junyi , Miao Yinshuang , Guo Zhongxue , Zheng Qing , Wang Feng 
Published: September 2024

Abstract

Background
Gastric cancer (GC) is a leading cause of cancer-related death, and metastasis significantly contributes to poor prognosis. Splicing factors are known to influence cancer progression, including metastasis. This study aimed to investigate the role of heterogeneous nuclear ribonucleoprotein A/B (hnRNPAB) in GC cell invasion and migration.
Methods
An investigation into the role of hnRNPAB in GC was conducted. This study analyzed hnRNPAB expression in human gastric cancer tissues. Functional studies were then performed using gastric cancer cell lines with overexpression or knockdown of hnRNPAB to assess its effects on cell proliferation, migration, and invasion. Mechanistic studies were conducted to determine the signaling pathways involved in hnRNPAB-mediated effects.
Results
Overexpression of hnRNPAB in gastric cancer cell lines promoted cell proliferation, migration, and invasion. Conversely, hnRNPAB knockdown had the opposite effect. Mechanistically, hnRNPAB induced a switch in the expression of cell adhesion markers, increasing the expression of mesenchymal markers (N-cadherin, vimentin, and Snail1) while decreasing the expression of the epithelial marker E-cadherin, indicating its role in epithelial‒mesenchymal transition (EMT). Further investigation revealed that hnRNPAB activates the Akt-GSK3β-Wnt signaling pathway by promoting Akt phosphorylation and inactivating GSK3β.
Conclusions
These findings demonstrate that hnRNPAB promotes EMT and GC development by activating the Akt-GSK3β-Wnt signaling pathway. These findings suggest that hnRNPAB could be a potential target for developing novel diagnostic and therapeutic strategies for GC. Further studies are warranted to explore its therapeutic potential fully.
Exploring Resourcefulness of the Paragraph for PrecedenceRetrieval in Legal Documents
Authors: Sisodiya Bhoomeendra Singh , Unnam Narendra Babu , Reddy P. Krishna , Santhy K.V.K. 
Published: September 2024

Abstract

Developing computational methods for efficiently extracting relevant legal information to aid legalpractitioners is an active research area. In this regard, research efforts are being made to developefficient methods by leveraging different kinds of information in a legal document, such as meta-data, citations, keywords, sentences, paragraphs, etc. Similar to any text document, legal documentsare composed of paragraphs. In this paper, we have analyzed the resourcefulness of paragraph-levelinformation in capturing similarity among judgments for improving the performance of precedenceretrieval. The statistical analysis on the Supreme Court of India judgment dataset shows that theparagraph-level methods with only a few paragraph interactions could capture the similarity amongthe judgments and exhibit more discriminating power over the baseline document-level method. More-over, the comparison results on two benchmark datasets for the precedence retrieval on the Indiansupreme court judgments task show that the paragraph-level methods exhibit comparable perfor-mance with the state-of-the-art methods by utilizing only a few paragraph interactions. Overall, theresults show that paragraph-level granularity can better represent the legal document, and there is ascope to exploit them to improve the retrieval systems in the legal domain.
Proposal of a Classification Method for Brazilian Automotive Companies Using the Principal Components Analysis
Authors: Oliveira Paulo Sergio Gonçalves , Silva Luciano Ferreira , Araujo Pedro Teixeira , Reis Guilherme Fernandes Gomes , Otero Marco Antônios Soares Gomes 
Published: September 2024

Abstract

This article proposes a method for classifying Brazilian companies according to the concepts of Industry 4.0, to do so, research was carried out on the websites of automotive companies affiliated with Anfavea (Brazilian Association of Motor Vehicle Manufacturers), using the ElasticSearch software. This tool allows scanning large textual databases, including websites. The search found 137,382 occurrences in documents belonging to the companies’ websites. To develop the classification, principal component analysis was used, by limiting it to two components, which together explain 90.98% of the total variation. The components are named tools and innovations using this, data was divided into quadrants represented by the x and y axes of the chart. The first quadrant is considered "low in tools (y) and low in innovations (x)", where 12 companies were classified, with highlights being Renault and Ford. In the second quadrant, "low in tools and high in innovations (x), only the company Komatsu was classified. In The third quadrant, companies that have "high classification" were classified as “high tools” and “high in innovations”, represent by Volkswagen, Stellantis, and Scania. In the fourth quadrant, companies were classified as on-highway and Volvo, with high use of innovations and low use of industry 4.0 tools.