bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Characteristics of Natural Killer Cells and Prediction of Prognosis in Bladder Urothelial Carcinoma
Authors: Zhang Yuxin , Zeng Yankai , Song Shuaishuai , Zhang Zhiyong , Chen Yuedong 
Published: April 2023

Abstract

Background：Bladder urothelial carcinoma (BLCA) is a malignant tumor occurring in the bladder and derived from urothelial cells. It is one of the ten most common cancers in the world. There has been no significant progress in the treatment of patients with recurrence of BLCA in the past decades. With the progress of systemic treatment, the overall survival period (OS) of patients has improved, but the prognosis is still poor, which needs improvement clinically. The development of immunotherapy has changed the status initially. Natural killer (NK) cells, as an important type of innate immunomodulatory cells, have proved their potential in the treatment of several malignant tumors, so which received widespread attention in recent years.
Objective: The clinical data in TCGA and GEO was used to provide ideas for the diagnosis, treatment and evaluation of prognosis indicators of BLCA. And the relationship between BLCA and the expression of NRGs was investigated.
Methods: In this study, the normal and tumor samples of TCGA-BLCA and GSE3167 were analyzed to find out differential expression genes based on the "limma" R package. The genes and the natural killer cell-related genes (NRGs) were intersected to obtain NRGs with differential expression. We used univariate COX regression analysis, LASSO and multifactor COX analysis to obtain the risk score and build the prognosis gene model. GSE31684 queue has been verified externally. In order to further confirm the reliability of genes, we analyzed their mechanism of action, divided them into groups by the risk score, and performed immune analysis on subgroups to evaluate the immune treatment response.
Results: There are differences in the expression of LRP1 and INHBB, which are independent risk factors for the prognosis of BLCA. The nomogram was established based on the characteristics of 2-NRGs and clinicopathological characteristics. The low risk group has more abundant immune infiltration, suggesting a better immune response and better prognosis, which verifies the reliability of grouping. The sensitivity of the hig-risk and low-risk group to the two target sites, PDL1 and FGFR3, is significantly different. And the risk score is closely related to the relevant chemotherapy drugs. These suggested that the risk score can screen the patients well at the drug level, and also providing a meaningful reference for the patients in drug selection.
Conclusion: NK cell core genes, LRP1 and INHBB, may play a crucial role in the occurrence and progression of BLCA. We constructed nomogram according to the NK core genes and verified its feasibility, which can provide a reference for clinical prognosis.
Internet based rural economic entrepreneurship based on mobile edge computing and resource allocation
Authors: Wang Xiaolu , Ni Danyue 
Published: April 2023

Abstract
Currently, the rural economy is developing better and better with the advantages of equality and low cost of Internet platforms. However, inevitably, the rural Internet economy also faces some challenges in its actual development. Entrepreneurship is the main driving force for promoting the development of the national economy and the main method for improving people's living standards and quality. China highly recognizes the positive role of entrepreneurship in regional and even national economic development, and has introduced a number of policies and measures to provide practical support such as financial subsidies for entrepreneurial activities. Mobile edge computing technology not only provides a new economic environment for the information age, but also plays a key role in developing innovation and entrepreneurship and improving business efficiency due to its cross platform and multi-level characteristics. Mobile edge computing technology can process the data generated by resource allocation and provide technical support for resource allocation at the network edge. This paper studies the calculation of big data resource allocation in mobile edge computing systems. Through an analysis of the operation of rural economy based on the Internet, we will deeply explore the advantages that the Internet platform brings to the operation of rural economy. Based on local conditions, the use of Internet resources has strengthened the entrepreneurial capacity of the region, achieved rapid development of the rural economy, strengthened the construction of rural infrastructure, improved the construction of assistance systems, established a business service platform, and introduced relevant incentive mechanisms to ensure the implementation of rural entrepreneurship assistance policies.
Land Use/land cover Dynamics, its driving forces and impacts on ecosystem services in Jimma Rare District, North-Western Ethiopia
Authors: Wayesa Gamachu , Mammo Siraj , Kidane Moges , Tolessa Terefe 
Published: April 2023

Abstract
Land Use/Land Cover (LULC) change is one of the most important environmental challenges that have affected the earths’ systems and its ecosystem services. This study was conducted with the main objective of assessing LULC change, its drivers, and impacts on ecosystem services in the Jimma Rare district for the year 1974–2019. In order to understand the spatial and temporal changes of LULC and its drivers, a four time period of satellite images (1974, 1991, 2005 and 2019) were obtained. In addition respondent interviews, focus group discussions (FGD) and field observations were employed. Moreover, the ecosystem service value coefficients developed at a global level were used to assess the impacts of LULC on the ecosystem service provision of the study area. The results of the study showed that grassland and forest land decreased from 4518.87ha (13.09%) to 902.42ha (2.61%) and 3287.79ha (9.52%) to 2506.63ha (7.26%) from 1974–2019 respectively. Similarly, wetlands declined from 1182.08 ha (3.42%) to 562.37ha (1.63%) in the stated period. The greatest expansion of cultivated land and settlement area occurred during the year 1974–1991. Expansion of crop land, rural and urban settlement, deforestation, and overgrazing were among the major proximate causes. Likewise, the major underlying drivers of LULC dynamics include population increase, the presence of weak policy and institutions, poverty and lack of awareness were identified by respondents and focus group discussants. The total natural capital value reduced from 662.75 (million $/ha/yr) to 577.03 (million $/ha/yr) in the study period indicating the impacts of LULC and its drivers on ecosystem services values. From this study, it is possible to conclude that Jimma Rare District has experienced a significant change in LULC and ecosystem service values over the past 45 years. Hence, appropriate policy packages for land use are required to curb the negative impacts of such changes so that the provision of the required services can be sustained for development endeavors.
Klotho increases antioxidant defenses in astrocytes and ubiquitin-proteasome activity in neurons
Authors: Mazucanti Caio Henrique , Orellana Ana Maria , Anjos Leticia Pavan , Lima Larissa Sá , Kawamoto Elisa Mitiko , Scavone Cristoforo 
Published: April 2023

Abstract
Aging is a physiological process that occurs in all living organisms; however, cognitive decline and physical frailty during aging can be linked to high-calorie diets, chronic illnesses, and a sedentary lifestyle. The Klotho protein is inherently linked to the aging process, while also serving a role in various other physiological processes. Klotho has been shown to have a neuroprotective effect in various neurodegenerative diseases, potentially through its ability to modulate antioxidant defenses and energy metabolism. Our previous data showed that pharmacological inhibition of FGFR1, ERK phosphorylation, and monocarboxylic acid transporters prevents Klotho-induced lactate release from astrocytes. In addition, Klotho treatment has anti-inflammatory properties, as shown by its ability to inhibit NF-κB activation in astrocytes after an inflammatory stimulus. Here we demonstrate that AKT inhibition by Klotho treatment induces transcriptional activity of FOXO transcription factors and promotes antioxidant defense in astrocytes by inducing catalase expression. In addition, Klotho treatment induced PFKFB3 ubiquitination and proteasome activity in neurons. Taken together these data suggest that Klotho is an important player in the adaptive defense response in astrocytes and it increases proteasomal activity in neurons, which are both protective actions involving coupling between neurons and astrocytes against neurodegenerative processes.
Statistical post-processing method for evaluating bioaccumulation in fish due to dietary exposure in Japan
Authors: Inoue Yoshiyuki , Koga Yuka , Takeshige Ryoko , Murakami Hidekazu , Takamura Takumi 
Published: April 2023

Abstract
In 2018, the dietary exposure bioaccumulation fish test of the Organization for Economic Co-operation and Development Test Guideline No. 305 was introduced into Japan’s Chemical Substances Control Law. The Japanese government has adopted a single definitive testing criterion for the absence of bioaccumulation: the growth-corrected kinetic dietary magnification factor (BMFkg) must be less than 0.007. We used statistical post-processing to assess the possibility of expanding the criteria for not being highly bioaccumulative. Based on our results, we proposed the criterion that the test substance should be considered not highly bioaccumulative if the following two conditions are met: (1) The ratio of the maximum to the minimum measured 5% lipid-normalized biomagnification factor (BMFL, n = 5) for the test substance and reference substance should be less than 3.0; (2) For the measured BMFL of the test substance (n = 5), the probability that the next (the sixth) BMFL is below 0.0334 should exceed 95% based on statistical post-processing. Application of our suggested criteria to Japan’s Chemical Substances Control Law implies that the BMFL for chemicals that are not highly bioaccumulative in the dietary exposure bioaccumulation fish test would be increased from 0.007 to 0.0149.
The Explanatory Models for Anxiety among Pregnant Women Infected with COVID-19 in China: A Thematic Analysis of 336 Postings from Infected Individuals
Authors: Zhang Wen , Xu Shang , Cheng YingQi , Wang Si 
Published: April 2023

Abstract
Background: Infection with COVID-19 aggravates the anxiety of pregnant women. Our study aimed to establish explanatory models to investigate the causes of anxiety in pregnant women infected with COVID-19.
Methods: To achieve this, we captured 336 postings of infected pregnant women on Sina Weibo from 7 November 17, 2022, to January 16, 2023, during which the number of infected people continued to rise after China lifted control of the epidemic. We used Python to filter the postings and NVivo12 for thematic analysis.
Results: Our analysis revealed four central themes and thirteen sub-themes: Theme 1: Neglecting Maternity Care, including Discomfort Without Special Treatment, Special Care Absence, and Exploitation of Healthcare Resources; Theme 2: High-risk Pregnancy Process, including Collapse of Safe Space, Risk of Mother-to-Child Transmission, Unknown Drug Risk Impact, and Emergence of Childbirth Risk; Theme 3: The Pressure of Motherhood Expectations, including Motherhood Negligence and Lost Opportunities to Become Mothers; Theme 4: Insufficient Social Support, including Delayed Policy Support, Lack of Instrumental Support, Negative Informational Support, and Weak Inter-individual Support.
Conclusions: For pregnant women with COVID-19, it is crucial to have mental health interventions, eHealth programs, social media content moderation, and flexible hospital policies.
Analysis of Physio-biochemical responses and expressional profiling of DREB transcription factors for drought stress tolerance in Aegilops tauschii Coss
Authors: Abbas Adeel , Hameed Rashida , Shahani Aitezaz , Ali Wajid , Huang Ping , Du Yizhou , Du Daolin 
Published: April 2023

Abstract
Aegilops tauschii Coss. (2n = 2x = 14, DD) is a weed of wheat, competes for resources, performs better against different abiotic stresses, and is a rich genetic material source for wheat crop improvement programs. The effects of different drought stress levels on physiological and biochemical parameters and the expression profile of the drought resistance gene DRB were examined through greenhouse experiments. The physiological parameters (plant height, dry weight biomass, plant height, and leaf area-related parameters) fluctuated under different drought stress levels. Photosynthetic parameters (maximum (Fo’) and minimum (F’m) fluorescence, photochemical ((ΦPSII)), and non-photochemical quenching (qN)) were also affected by different drought stress levels, and their efficiency fluctuated with water availability. In the biochemical analysis, shallow significant changes occurred in peroxidase (POD), catalase (CAT), and proline content, while malondialdehyde (MDA) showed variation under different drought stress conditions. In the DREB gene expression analysis, eight populations showed high expression profiles compared to the control conditions in Ae. tauschii. The expression profiles in Ae. tauschii showed a high fold increase compared to the control condition, and DREB gene expression correlated with the changes in physiological and biochemical parameters.
A highly efficient class of optimal
fourth-order methods for solving nonlinear systems
Authors: Cordero Alicia , Rojas-Hiciano Renso V. , Torregrosa Juan R. , Vassileva Maria P 
Published: April 2023

Abstract
In this manuscript, we present a new class of highly efficient two-parameter optimal iterative methods for solving nonlinear systems that generalizes Ostrowski's method, King's Family, Chun's method and KLAM Family in multidimensional context. This class is an extension to systems of the Ermakov's Hyperfamily. The fourth order of convergence of the members of the class is demonstrated, thus obtaining optimal schemes for solving nonlinear systems. The high efficiency of the elements of the class is studied, compared with other known methods of the same order or even higher and some numerical proofs are presented and we analyze it robustness.
Deep Eutectic Solvents as pretreatment for viscose production
Authors: Arce Carlos , Llano Tamara , Mowinckel Álvaro , Coz Alberto 
Published: April 2023

Abstract
Viscose from dissolving pulp is one of the most used fabrics in the world. However, its production involves a very hazardous compound: CS2. Therefore, reducing its consumption is of utmost importance. In this sense, dissolving pulp can be pretreated, increasing the reactivity of the cellulose and reducing the CS2. Deep eutectic solvents have been used in biomass pretreatment as delignifying agents since their selectivity towards lignin is high. The ones used with lignocellulosic biomass usually comprise a quaternary ammonium and an organic acid. In previous studies, the formed by choline chloride and lactic acid has excellent results among different DES. However, the optimal conditions of the treatment have not been found, which is the aim of this study. This study showed that no harsh conditions are needed to increase reactivity since temperatures below 100 ºC and time below 120 min could be used. Additionally, the study of the influence of the operating conditions led to the mathematical model of reactivity to find the optimal conditions. At the best conditions, reactivity increased to 97.97%, with a CS2 consumption reduction of more than 16%.
The selective serotonin reuptake inhibitor sertraline alters learning from aversive reinforcements in patients with depression: evidence from a randomized controlled trial
Authors: Malamud Jolanda , Lewis Gemma , Moutoussis Michael , Duffy Larisa , Bone Jessica ,   Ramya Srinivasan3, Lewis Glyn , Huys Quentin 
Published: April 2023

Abstract

Selective serotonin reuptake inhibitors (SSRIs) are first-line pharmacological treatments for de- pression and anxiety. However, little is known about how pharmacological action is related to cognitive and affective processes. Here, we examine whether reinforcement learning processes mediate the treatment effects of SSRIs. Reinforcement learning provides a promising framework as both serotonin and depression have been linked to specific reinforcement learning processes such as automatic Pavlovian inhibition. The PANDA trial was a multicentre, double-blind, randomized clinical trial in UK primary care comparing the SSRI sertraline with placebo for depression and anxiety. Participants (N=655) performed an affective Go/NoGo reinforcement-learning task three times during the trial and computational models were used to infer reinforcement learning processes. There was poor task performance: only 54% of the task runs were informative, with more informative task runs in the placebo than the active group. There was no evidence for the preregistered hypothesis that Pavlovian inhibition was affected by sertraline. Exploratory analyses revealed that sertraline increased how fast participants learned from losses and faster learning from losses was associated with more severe generalised anxiety symptoms. Furthermore, in the sertraline group, early increases in Pavlovian inhibition were associated with improvements in depression after 12 weeks. In conclusion, sertraline was effective in treating anxiety, yet it increased learning from losses, and the rate of learning from losses was positively related to anxiety. Poor task performance limits the interpretability and likely generalizability of the findings, and highlights the critical importance of developing acceptable and reliable tasks for use in clinical studies.
Trial registration: ISRCTN registry ISRCTN84544741 and EudraCT number 2013-003440-22 Funding: NIHR RP-PG-0610-10048
Clinical usefulness of transient visual evoked potentials (TVEPs) and steady-state visual evoked potentials (SSVEPs) results in blind dogs
Authors: Lee Teck-Geun , Kim Joon-Young 
Published: April 2023

Abstract

Background Visual evoked potentials (VEPs) are used to assess the function of the visual pathway from the retina to the visual cortex. According to the stimulation frequency, VEPs are classified into transient VEPs (TVEPs) and steady-state VEPs (SSVEPs). This study aimed to assess TVEPs and SSVEPs of blind dogs (n = 26) and compared them with those of healthy dogs (control group, n = 13). According to the location of the lesion that caused blindness, the dogs were classified into pre-retinal, retinal, and post-retinal groups. TVEPs and SSVEPs were assessed without anesthesia or sedation. The P2 latency and Negative 1-Positive 2 (N1-P2) amplitude were evaluated in TVEPs, and the signal-to-noise ratio (SNR) and response amplitude (RA) were evaluated in SSVEPs.Results The N1-P2 amplitude (p < 0.001), SNR (p = 0.039), and RA (p < 0.001) were significantly decreased in the post-retinal group compared with those in the control group. The SNR (p < 0.001) and RA (p < 0.001) in the retinal group were significantly lower than those in the control group. The TVEPs and SSVEPs values did not differ significantly between the pre-retinal and control groups. The receiver operating characteristic (ROC) curves showed that the area under the curve value of the RA of SSVEPs (0.928) was higher than that of the N1-P2 amplitude of TVEPs (0.873) in dogs with post-retinal lesions.Conclusions SSVEP parameters can be used to diagnose the cause of blindness and are more suitable for use in veterinary clinical practice than TVEP parameters.
The association between mitochondrial metabolite methylmalonic acid and long-term mortality risk in patients with coronary heart disease: a prospective cohort study
Authors: Guo JunChen , Zeng Wang , Yan Miao , Wang Ye , Lu Rongzhe , Liu Yige , Zhang Yiying , Fang Shaohong , Wang Shanjie , Yu Bo 
Published: April 2023

Abstract
Background
Methylmalonic acid (MMA) has been associated with mitochondrial dysfunction and oxidative stress, independent of cobalamin deficiency. However, whether MMA predicts mortality risk in patients with coronary heart disease (CHD) was unknown. This study aims to investigate the relationship between baseline MMA levels and all-cause and cardiovascular mortality risk in adults diagnosed with CHD.
Methods
Overall, 1775 individuals with CHD and MMA measurement were included from the US National Health and Nutrition Examination Survey (NHANES) and followed up until 31 December 2019. Weighted Cox proportional hazard regression was used to estimate hazard ratios (HR) and 95% CI for the association of MMA with all-cause and cause-specific mortality.
Results
During a mean follow-up of 9.64 years, 980 patients died. Serum MMA had a dose-responsed association with increased mortality risk according to spline curve fitting. Compared to the participants in the bottom tertile of MMA, those in the top quartile had a HR (95%CI) of 1.70 (1.31–2.20) for all-cause mortality, and 2.00 (1.39–2.89) for cardiovascular mortality (both p trend < 0.001) after full adjustment for demographics, lifestyle, clinical and laboratorial variables, and cardiovascular medications. The associations were particularly stronger among participants with diabetes or normal cobalamin (both p for interaction ≤ 0.019). MMA also had a better performance in predicting long-term mortality than traditional cardiovascular biomarkers.
Conclusion
MMA accumulation was associated with increased risks of all-cause and cardiovascular mortality in patients diagnosed with CHD. Lowering MMA maybe a promising target in the prevention of premature death due to CHD.