bluuebunny/crossref_metadata_2025_split huggingface dataset:
FABP5 is a Novel Key Player in Metabolic Modulation and NF-κB dependent Inflammation driving Malignant Pleural Mesothelioma
Authors: Fiume Giuseppe , Vecchio Eleonora , Gallo Raffaella , Mimmi Selena , Marino Rossana , Caiazza Carmen , Pastore Arianna , Ruocco Maria Rosaria , Arcucci Alessandro , Schiavone Marco , Palmieri Camillo , Iaccino Enrico , Stornaiuolo Mariano , Quinto Ileana , Mallardo Massimo , Martini Fernanda , Tognon Mauro 
Published: March 2024

Abstract
Malignant pleural mesothelioma (MPM) poses a significant challenge in oncology due to its intricate molecular and metabolic landscape, chronic inflammation, and heightened oxidative stress, which contribute to its notorious resilience and clinical complexities. Despite advancements, the precise mechanisms driving MPM carcinogenesis remain elusive, impeding therapeutic progress. Here, we explore the interplay between tumor growth dynamics, lipid metabolism, and NF-κB dysregulation in malignant pleural mesothelioma, shedding light on novel molecular mechanisms underlying its pathogenesis. Our study reveals distinctive growth dynamics in MPM cells, characterized by heightened proliferation, altered cell cycle progression, and resistance to apoptosis. Intriguingly, MPM cells exhibit increased intracellular accumulation of myristic, palmitic, and stearic acids, suggestive of augmented lipid uptake and altered biosynthesis. Notably, we identify FABP5 as key player in driving metabolic alterations and inflammation through NF-κB dysregulation in mesothelioma cells, distinguishing them from normal mesothelial cells. Silencing of FABP5 leads to significant alterations in cell dynamics, metabolism, and NF-κB activity, highlighting its potential as therapeutic target. Our findings unveil a reciprocal relationship between lipid metabolism and inflammation in MPM, providing a foundation for therapeutic strategies. Overall, this comprehensive investigation offers insights into the intricate molecular mechanisms driving MPM pathogenesis and identifies potential avenues for therapeutic intervention.
Prevalence and epidemiology of intestinal cestodes of small ruminants in Algeria
Authors: Zerguine karima , Meryem Benmarce , Djammam Imane , Neghiche Samar Rana 
Published: March 2024

Abstract
Our study aims to identify and assess the prevalence of Anoplocephalidae parasitizing the intestines of small ruminants, as well as to study their epidemiology in Algeria. The methods used to achieve our goals are autopsy and staining. The results showed the presence of six species of tapeworms belonging to four genera : Moniezia expansa, Moniezia benedeni, Stilesia globipunctata, Stilesia sp, Avitellina centripunctata and Thysaniezia ovilla, with variable infestation rates affecting 14% of sheep and 8% of goats. Moniezia expansa is the dominant parasitic species and was found with high rates in goats and sheep.
The study of factors influencing the occurrence of Anoplocephalidae showed that females were affected more than males for both hosts. Likewise, younger animals are more parasitized than the adults. The most infested animal breeds are Berber and Rembi. Our results show several parasitic associations of two cestodes worms. The most frequent association in our samples is that of Moniezia expansa - Stilesia globipunctata with a rate of 50%. The regional and seasonal studied showed that the infestation of small ruminants by Anoplocephalidae was also influenced by the nature of the climate.
Reduction of water consumption for heating plant cooling with an indirect cooling system
Authors: Hlaváček Ondřej , Vagenknechtová Alice 
Published: March 2024

Abstract
In order to combat drought, many industrial companies are taking austerity measures in their water management. They are driven not only by economic reasons but also by tightening legislation (Ministry of the Environment of the Czech Republic 2001), directly prohibiting the extraction of water from the environment when a drought is declared. The article deals with the case of a company that operates a heating plant for an industrial zone and the adjacent town. The water source is a river 2.5 km away. In the event of a drought, the company is affected by a ban on river-water extraction, which has a direct impact on the operation of the heating plant and the entire industrial zone, with the current heating-plant cooling system consuming up to 60% of the industrial water. Previous studies have shown the impossibility of installing a dry or hybrid cooling system in the area. A possible economical option is closed-loop cooling. Most of the cooling water is lost by evaporation, the rest by surface blowdown, neither of which occurs in a closed circuit. This paper deals with an alternative closed cooling system using a river and its design parameter calculation, including a comparison of the different options for pipe location and routing.
Effect of the Heavy Component Interference on the Phase Behavior of Quinary Hydrocarbon Mixtures
Authors: Buleiko V. M. , Buleiko D. V. 
Published: March 2024

Abstract

We have presented the results of a calorimetric study of the heavy component interference in the quinary hydrocarbon mixtures of methane, propane, octane, nonane, and decane. The phase diagrams for these mixtures have been plotted based on the experimental data. The phase transitions are localized by the finite discontinuities and singularities in temperature derivatives of the thermodynamic potentials. The heat capacity, internal energy, pressure, and temperature derivative of pressure at constant volume are measured in the range 170–250 K, up to 36 MPa. The investigated systems are presented as the combination of the simple hydrocarbon mixtures. The simple hydrocarbon mixture is the mixture, which consists of components forming the macrophase (a binary mixture with the constant methane/propane ratio) and one of C4+ heavy components forming a microphase. Every heavy component, which forms the hydrocarbon mixture, has a limited domain of influence on the phase behavior of the system in the p-T-x state space. The configuration of this domain is predetermined by the heavy component concentration. The transformation of the phase diagram and, consequently, the transformation of the phase behavior of the mixture due to the interference of heavy components are observed. Our investigations show that quinary hydrocarbon mixture for the low concentration of octane, nonane, and decane splits into four phases, the macrophase composed of methane, propane, octane, nonane and decane, and three microphases formed by octane, nonane, and decane. This split is similar to the split of the simple hydrocarbon mixture. The heavy components, octane, nonane, and decane dissolved in the macrophase partly. Besides, the heavy components provoke a split of the liquid part of the quinary mixture into two liquid phases.
The d'Alembert solution in hyperboloidal foliations
Authors: Kroon Juan Antonio Valiente , Silva Lidia Joana Gomes Da 
Published: March 2024

Abstract
We explicitly construct the analogue of the d'Alembert solution to the 1+1 wave equation in an hyperboloidal setting. This hyperboloidal d'Alembert solution is used, in turn, to gain intuition into the behaviour of solutions to the wave equation in a hyperboloidal foliation and to explain some apparently anomalous behaviour observed in numerically constructed solutions discussed in the literature.
Randomized experiment testing the effect of messaging about reductions in exposure to harmful chemicals on intentions to use JUUL e-cigarettes among tobacco product users and nonusers
Authors: Shiffman Saul , Hannon Michael , McCaffrey Stacey 
Published: March 2024

Abstract
Informing adults who smoke (AWS) that completely switching to e-cigarettes reduces their exposures to harmful chemicals could prompt them to switch to e-cigarettes. But it would be problematic if such messages prompted e-cigarette use by adults not using tobacco (Nonusers). This study assessed the effect of a reduced-exposure message on behavioral intentions among both these groups. In a randomized experiment, 3,485 AWS, 7,316 Nonusers (former- and never-users), and 1,756 adults using both cigarettes and e-cigarettes viewed an ad for JUUL e-cigarettes with or without a reduced-exposure message. Participants’ Openness-to-Try (OTT) and Openness-to-Use (OTU) JUUL were assessed. Exposure to the message significantly increased AWS’ OTT JUUL, while significantly decreasing it among Nonusers, resulting in a significant message x population interaction. The interaction was also significant for OTU; the message significantly increased OTU in AWS, and non-significantly decreased it among Nonusers. The message’s effect on AWS’ OTU was completely mediated by its effects on the perceived risk differential between JUUL use and smoking. Message exposure did not affect AWS’ intention to quit smoking, and decreased susceptibility to smoking among Nonusers Open to Using JUUL. The reduced-exposure message resulted in a pattern of behavioral intentions consistent with a favorable impact on population health.
An improved approach to convergent cross mapping method for strongly coupled time series data
Authors: Wang Ping , Gu Changgui , Yang Huijie 
Published: March 2024

Abstract

In numerous scientific domains, a significant challenge lies in identifying causal relationships among the various components of a system solely based on observational data. Recently, the convergent cross mapping (namely, CCM) method proposed by Sugihara et al. has demonstrated substantial potential for causal inference in the absence of models. By varying the coupling strength of the coupled Logistic model, we found that for asymmetrically strongly coupled time series, the CCM method fails in inferring both the direction and strength of causal relationships. In this paper, we propose an improved version of the CCM method, termed effective mutual information convergent cross mapping (namely, EMICCM) method, by considering inherent characteristics of time series such as nonlinearity and non-normal distribution features. As most real systems exhibit nonlinear and non-normally distributed characteristics, our method offers a more accurate measure for inferring causal relationships within them.
Invasive inflammatory fibroid polyp concomitant with Gastritis cystica polyposa and Inverted hyperplastic polyp of the stomach: a case report and literature review
Authors: yang Xingrong , Guo Sitong , Meng Ke , Tao Juan 
Published: March 2024

Abstract
Background Inflammatory fibrous polyp (IFP) is a distinct fibroblastic neoplasm with a predilection for the stomach and ileum. It contains prominent inflammatory infiltration, with a particularly eosinophils. Platelet-derived growth factor receptor alpha (PDGFRA) mutations are postulated as the pathogenesis of IFP. IFPs have been widely considered as benign tumors without malignant biological behaviors. However, rare invasive cases have been reported. Case presentation A 75-year-old woman presented with unexplained hematemesis, dizziness, and weakness for 3h. Physical examination revealed upper abdominal tenderness on palpation. Contrast-enhanced computed tomography revealed a 6 cm nodule with a high-density shadow and ring enhancement with well-defined borders in the gastric body. Surgical excision was performed, and subsequent histopathological examination and immunohistochemical analyses confirmed the dignosis of gastric infiltrative IFP presenting along with gastritis cystica polyposa (GCP) and inverted hyperplastic polyp (IHP). The patient was positive for CD34 and PDGFRA expression, but PDGFRA exon 12, 14, and 18 mutations were not identified. There was no evidence of recurrence within the 4 years of surgery. Conclusions To our knowledge, this is the second case of an IFP invading gastric’s serous layer and the first case of an IFP presenting with both GCP and IHP. Meanwhile, we speculate that the growth of an IFP leads to the formation of GCP and IHP. While an IFP is benign in most cases, it can be invasive in rare cases. It may show local recurrence with inadequate excision. We expect to help pathologists have a comprehensive understanding of the rare biological behavior, and to help surgeons achieve better clinical management through providing the case and literature review.
Intelligent Irrigation System With Smart Farming Using Ml and Artificial Intelligence Techniques
Authors: Manikandan P , Saravanan S. , Nagarajan C. 
Published: March 2024

Abstract
Due to increase in population, there is a drastic changes in whether condition which also affects agricultural productivity which leads to raise in food demand and creates a significant problem for humanity. This study suggests an automated control system of smart farming uses artificial intelligence, IoT and machine learning to monitor and regulate several agricultural regions vital to the entire farming process to solve lower productivity. Finally, provide better visualization and monitoring of the environment around us, we offered a web application that combines the different data produced by the sensors with the forecast from our models. The ensemble learning algorithm (SVM-KNN) to make an accuracy rate of 90% rather than individual SVM and KNN was 72% and 76%, respectively.
Intelligent and Efficient Task Caching for Mobile Edge Computing
Authors: Moradi Amir , Rezaei Fatemeh 
Published: March 2024

Abstract
Given the problems with a centralized cloud and the emergence of ultra-low latency applications and the needs of the Internet of Things (IoT), it has been found that novel methods are needed to support the centralized cloud technology. Mobile edge computing is one of the solutions to mitigate these challenges. In this paper, we study task caching at the network edge to improve network efficiency. In the proposed scheme, we get a general prediction of the possibility of re-requesting tasks in the future using convolutional neural networks (CNN). Using this possibility and the characteristics of a task itself, including the required cache space and the required amount of processing, we rank the number of this type of task in the neighbors and the number of last requests for this task using the fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and select the best replacement option available in the cache. The proposed scheme has proved to be of considerable benefit in terms of reducing the delay and energy usage, as well as improving overall network efficiency.
Amyloid Beta – induced leptomeningeal cell JAK/STAT signalling regulates inflammatory responses of astrocytes in Alzheimer’s Disease
Authors: Abubaker Mannthalah , Stanton Janelle , Mahon Olwyn , Grabrucker Andreas , Newport David , Mulvihill John JE 
Published: March 2024

Abstract

The pathological signature of Alzheimer's disease (AD) includes the accumulation of toxic protein aggregates, mainly consisting of amyloid beta (Aβ). Recent strides in fundamental research underscore the pivotal role of waste clearance mechanisms in the brain suggesting it may be an early indication of early-onset AD. This study delves into the involvement of leptomeningeal cells (LMCs), crucial components forming integral barriers within the clearance system, in the context of AD. In this study, we examined the inflammatory responses of LMCs to Aβ, investigating their morphological changes and oxidative responses. The LMCs showed no changes in growth, viability, oxidative stress and vimentin expression in the presence of Aβ. Furthermore, LMCs exhibited a proinflammatory response unique to the Aβ when compared to an LPS control. When treated with JAK/STAT inhibitors, LMCs' inflammatory responses reverted to control levels, suggesting a crucial role of the JAK/STAT pathway in mediating LMC responses to Aβ-induced inflammation. Lastly, Aβ treated LMCs conditioned media demonstrated a reduction in S100B levels in astrocytes compared to both astrocyte control and Aβ-treated astrocytes. This observation suggests a potential anti-inflammatory role of LMCs toward astrocytes, potentially impacting the intricate cellular interplay in AD.
Upper Limb Symptoms in Breast Cancer Survivors with Lymphedema: A Latent Class Analysis and Network Analysis
Authors: Shen Aomei , Lukkahatai Nada , Zhang Zijuan , Zhao Hongmeng , Salim Nezar Ahmed , Han Gyumin , Qiang Wanmin , Lu Qian 
Published: March 2024

Abstract

Purpose: Breast cancer survivors (BCS) with lymphedema experience multiple symptoms in upper limbs that significantly impact their quality of life. The complexity of symptomology and the connection among these symptoms are unclear. This study aimed to identify upper limb symptom subgroups and symptom networks among BCS.
Methods: This secondary analysis included individuals with lymphedema (defined as an inter-limb circumference difference of ≥ 2 cm) from three cross-sectional studies among post-surgery BCS. Upper limb symptoms were assessed by the Breast Cancer and Lymphedema Symptom Experience Index. Descriptive analysis, latent class analysis, logistic regression analysis, and network analysis were performed.
Results: A total of 341 BCS with upper limb lymphedema were included. Swelling, heaviness and tightness were the most prevalent symptoms. Four distinct latent classes were identified: “Severe symptom” group (Class 1: 9.4%), “Movement-limitation and lymph-stasis” group (Class 2: 24.6%), “Lymph-stasis” group (Class 3: 37.5%), and “Low Symptom” group (Class 4: 28.4%). BCS with axillary lymph node dissection, radiotherapy, longer post-surgery duration, and without medical insurance were less likely to belong to the low symptom group (P< 0.001). Symptom network density decreased from Class 1 to 4. Core symptoms for each symptom network were tenderness, firmness, arm-swelling, and heaviness, respectively.
Conclusion: This study identified four distinct categories of upper limb symptoms and influencing factors among individuals with breast cancer-related lymphedema (BCRL).
Implications for cancer survivors Our findings suggest the need to consider individualized approaches to symptom management and support for BCRL, taking into account their specific symptom clusters and associated risk factors.
Big Is Green, Procompetitive, and Profitable: The Economics of Route Consolidation
Authors: Froeb Luke M , Lane MARK , Powell G. EDWARD , Shor Mikhael , Tschantz Steven 
Published: March 2024

Abstract

The Travelling Salesman Problem and its cousin, the Vehicle Routing Problem, are typically studied in the field of Operations as a problem of optimization. In this paper, we show how to generalize the framework to handle any economic optimization problem using the idea of opportunity cost to elicit preferences. We prove that an optimum exists and then use stochastic search to estimate it for a realistic application involving actual drive times, multiple drivers, and overtime in Austin Texas. We find the benefits of route consolidation are large enough to offset potential anticompetitive effects for reasonable demand elasticities, and that the reduction in delivery miles results in lower costs, less pollution, and fewer accidents, injuries, and deaths. But unlike classic pollution externalities, most of benefits of route consolidation are internal to the merging parties, so they would be realized absent government intervention.
Dynamics of gas and greenhouse gases of ensiling barley with lactic acid bacteria during fermentation
Authors: Xue Yanlin , Wu Nier , Na Na , Sun Juanjuan , Sun Lin , Qili Moge , Li Dongyang , Li E , Yang Baozhu 
Published: March 2024

Abstract

Greenhouse gases (GHG) are generated in silage, especially in barley silage, during fermentation. However, little is known regarding the dynamics of GHG productions in silage during fermentation. The GHG accumulation and reduction were assessed in barley silage in the study. Barley was harvested at milk stage and ensiled without (CK) and with commercial lactic acid bacterial additives (L1 or L2). Gas and GHG productions, fermentation quality, fermentation weight loss (FWL), and bacterial communities were analyzed at d 0, d 1, d 3, d 6, d 15, d 35, and d 90 after ensiling. The gas and GHG productions rapidly increased in all silages during early fermentation phase and then decreased (P < 0.05). The gas and GHG productions in CK were higher than those in L1 and L2 from d 1 to d 35 (P < 0.05) and the peak productions of gas and GHG were observed at d 6 in CK and at d 3 in L1 and L2. The gas and GHG had positive correlation with Coliforms, Enterobacter, Klebsiella, and Atlantibacter from d 0 to d 6 (P < 0.05), but had negative correlation with Lentilactobacillus, Lactiplantibacillus, and Lacticaseibacillus from d 1 to d 35 (P < 0.05). The L1 and L2 had increasing pH and decreasing LA after d 15 (P < 0.05). Lentilactobacillus in L1 and L2 dominated the bacterial communities from d 35 to d 90 and correlated positively with pH and AA and negatively with LA from d 6 to d 90 (P < 0.05). The FWL had positive correlation with gas and GHG from d 1 to d 35 (P < 0.05). The ensiling fermentation process was divided into gas accumulation and reduction phases. Inoculating LAB reduces the gas and GHG productions. The activities of enterobacteria majorly contributes to the gas and GHG accumulations. The gas and GHG might participate in LAB metabolism during gas reduction phase. Lentilactobacillus activity causes mainly fermentation quality deterioration during late fermentation phase. The gas and GHG generated in silage contribute to the FWL during fermentation.
Advanced Microfluidic Biomarker for Multianalyte Sweat Analysis
Authors: s Vanaja , p Saran Raj 
Published: March 2024

Abstract
Development and Evaluation of an Arduino-Powered (Non-Intrusive) System for Analyzing Glucose Ions in Human Sweat Utilizing an RGB TCS3200 Sensor. The presented research introduces an innovative method for the precise quantitative analysis of ions in human sweat employing a TCS3200 colour sensor. Sweat composition serves as a valuable window into an individual's physiological state, making it an appealing target for non-invasive monitoring. The RGB TCS3200 colour sensor, originally designed for colour detection, has been adapted for ion analysis through a rigorous calibration process. This study presents a comprehensive methodology encompassing sample collection, sensor calibration, data acquisition, and thorough analysis. The fundamental principle of our method is predicated on establishing correlations between alterations in the colour spectrum of sweat samples and the concentration of specific ions. Our investigation systematically explores the sensor's response to varying ion concentrations, and the outcomes are rigorously validated against established laboratory techniques.