bluuebunny/crossref_metadata_2025_split huggingface dataset:
Oleanolic acid inhibits the malignant progression of CML cells through the miR-18a-5p/STK4 axis
Authors: Xie Bo , Lai Yongwei , Xu Yan , Zhang Pengxia 
Published: November 2023

Abstract
Chronic myeloid leukemia (CML) is a malignant tumor that affects the blood and bone marrow. Its characteristic is the production of a large number of immature white blood cells, which aggregate in the bone marrow and inhibit normal hematopoiesis in the bone marrow. To date, CML is mainly treated through the use of tyrosine kinase inhibitors and hematopoietic stem cell transplantation. However, some patients may experience resistance to tyrosine kinase inhibitors and rejection reactions after transplantation of hematopoietic stem cells. In previous experiments, we found that oleanolic acid (OA) promoted an increase in reactive oxygen species (ROS) in K562 cells, decreased mitochondrial membrane potential, and decreased cell proliferation ability. Flow cytometry and CCK8 experiments have shown that OA can lead to the occurrence of cell apoptosis in a dose-dependent manner. Through further experiments, we found that after OA treatment, STK4 expression was upregulated and miRNA-18a-5p expression was downregulated in K562 cells. Surprisingly, the addition of miRNA-18a-5p mimics inhibited the expression of STK4 in cells; after adding the miRNA inhibitor, the expression of STK4 increased. Further research has shown that after overexpression of STK4, compared with the control group, the mitochondrial membrane potential of cells decreases and the proliferation ability significantly decreases. After interfering with STK4 and undergoing OA treatment, compared with the OA group, the decrease in mitochondrial membrane potential in the interference + OA group was inhibited, and the cell proliferation ability returned to the level of the control group. OA can maintain low expression of STK4 in K562 cells by upregulating miR-18a, which directly targets the STK4 mRNA 3'UTR. Downregulation of miR-18a increases STK4 expression. Our research results confirm that OA can promote apoptosis in K562 cells by maintaining low expression of miR-18a and keeping STK4 in a high expression state.
Simultaneous point and structural mutations in engineered yeast Saccharomyces cerevisiae improve carotenoid production
Authors: Yamada Ryosuke , Ando Kazuya , Sakaguchi Rumi , Matsumoto Takuya , Ogino Hiroyasu 
Published: November 2023

Abstract
Engineered Saccharomyces cerevisiae is known to produce β-carotene, an antioxidant. In a previous study, we developed a technique for the efficient establishment of diverse mutants through the simultaneous introduction of point and structural mutations into the yeast genome. This study aimed to improve the β-carotene productivity of these engineered yeasts via mutagenesis. Point and structural mutations were simultaneously introduced into β-carotene-producing engineered yeast, and hydrogen peroxide-resistant mutants were obtained. These mutants exhibited a higher β-carotene production capacity than the parent strain. The top-performing mutant, HP100_74, produced 37.6 mg/L of β-carotene, a value 1.9 times higher than that of the parental strain (20.1 mg/L). Gene expression analysis confirmed an increased expression of multiple genes in the glycolysis, mevalonate, and β-carotene synthesis pathways, as well as a decreased expression of ERG9, which functions in a competitive pathway for β-carotene production in the mutant strain. The simultaneous introduction of point and structural mutations represents a simple yet effective method for achieving mutagenesis in yeasts. This technique is expected to be widely applied in the future to produce chemicals via metabolic engineering of S. cerevisiae.
(-)-Epicatechin gallate ameliorates cyprodinil-induced cardiac developmental defects through inhibiting aryl hydrocarbon receptor in zebrafish
Authors: Huang Dongqin , Su Yuchao , Li Mingmei , Xie Chengwei , Hu Weibin , Wang Shuxiang , Zheng Nanmei , Chen Jianhui , Lin Yueyun , Cai Weize , Xiao Jianjia , Chen Baojia , Hu Nanping , Zhou Fushan 
Published: November 2023

Abstract

Cyprodinil is a widely used fungicide with broad-spectrum activity, but it has been associated with cardiac abnormalities. (-)-Epicatechin gallate (ECG), a natural polyphenolic compound, has been shown to possess protective properties in cardiac development. In this study, we investigated whether ECG could mitigate cyprodinil-induced heart defects using zebrafish embryos as a model. Zebrafish embryos were exposed to cyprodinil (500 µg/L) with or without ECG (1 µM). Our results demonstrated that ECG significantly improved the survival rate, embryo movement, and hatching delay induced by cyprodinil. Furthermore, ECG effectively ameliorated cyprodinil-induced cardiac developmental toxicity, including pericardial anomaly and impairment of cardiac function. Mechanistically, ECG attenuated the cyprodinil-induced alterations in mRNA expression related to cardiac development, such as amhc, vmhc, tbx5, and gata4, as well as calcium ion channels, such as ncx1h, atp2a2a, and cdh2. Additionally, ECG was found to inhibit the activity of the aryl hydrocarbon receptor (AhR) signaling pathways induced by cyprodinil. In conclusion, our findings provide evidence for the protective effects of ECG against cyprodinil-induced cardiac developmental toxicity, mediated through the inhibition of AhR activity. These findings contribute to a better understanding of the regulatory mechanisms and safe utilization of pesticide, such as cyprodinil.
Developing Time Series Forecasting Models with Generative Artificial Intelligence
Authors: Morales-Garcia Juan , Llanes Antonio , Arcas-Tunez Francisco , Terroso-Saenz Fernando 
Published: November 2023

Abstract
Nowadays, Generative Large Language Models (GLLMs) have taken the Artificial Intelligent field by storm. One of the fields where these models have been extensively evaluated is in their role as generators of functional source code for software projects. However, their potential as assistants for writing the code necessary to generate and model machine learning or deep learning architectures has not been fully explored to date. For this reason, this work focuses on evaluating the extent to which different tools based on GLLMs, such as ChatGPT or Copilot, are capable of correctly defining the source code necessary to generate viable predictive models. The use case defined is the forecasting of a time series of atmospheric temperatures. The results show that, while it is true that the models obtained can obtain good accuracy metrics with simple predictive models, the composition of models with complex architectures is still far from the alternative of generating them by human data scientists.
Study on wavelet multi-scale analysis and prediction of landslide groundwater
Authors: Wang Tianlong , Peng Dingmao , Wang Xu , Wu Bin , Luo Rui , Chu Zhaowei , Sun Hongyue 
Published: November 2023

Abstract
Current groundwater prediction models often exhibit low accuracy and complex parameter adjustment. To tackle these limitations, a novel prediction model, called improved Aquila optimizer bi-directional long-term and short-term memory (IAO-BiLSTM) network, is proposed. IAO-BiLSTM optimizes the hyperparameters of the BiLSTM network using an IAO algorithm. IAO incorporates three novel enhancements, including population initialization, population updating, and global best individual updating, to overcome the drawbacks of current optimization algorithms. Before making predictions, the challenge posed by the highly nonlinear and non-stationary characteristics of groundwater level signals was addressed through the application of a wavelet multi-scale analysis method. Using a landslide site in Zhejiang Province as an example, a monitoring system is established, and continuous wavelet transform, cross-wavelet transform, and wavelet coherence analysis are employed to perform multi-scale feature analysis on a 2-year dataset of rainfall and groundwater depth. The findings reveal that the groundwater depth of monitoring holes exhibits similar high energy resonating periods and phase relationships, strongly correlating with rainfall. Subsequently, IAO-BiLSTM is employed to predict groundwater depth, and its results are compared with seven popular machine learning regression models. The results demonstrate that IAO-BiLSTM achieves the highest accuracy, as evidenced by its root mean squared error of 0.25.
Alleviating sample imbalance in water quality assessment using the VAE–WGAN–GP model
Authors: Xu Jingbin , Xu Degang , Wan Kun , Zhang Ying 
Published: November 2023

Abstract

Water resources are essential for sustaining human life and promoting sustainable development. However, rapid urbanization and industrialization have resulted in a decline in freshwater availability. Effective prevention and control of water pollution are essential for ecological balance and human well-being. Water quality assessment is crucial for monitoring and managing water resources. Existing machine learning-based assessment methods tend to classify the results into the majority class, leading to inaccuracies in the outcomes due to the prevalent issue of imbalanced class sample distribution in practical scenarios. To tackle the issue, we propose a novel approach that utilizes the VAE–WGAN–GP model. The VAE–WGAN–GP model combines the encoding and decoding mechanisms of VAE with the adversarial learning of GAN. It generates synthetic samples that closely resemble real samples, effectively compensating data of the scarcity category in water quality evaluation. Our contributions include (1) introducing a deep generative model to alleviate the issue of imbalanced category samples in water quality assessment, (2) demonstrating the faster convergence speed and improved potential distribution learning ability of the proposed VAE–WGAN–GP model, (3) introducing the compensation degree concept and conducting comprehensive compensation experiments, resulting in a 9.7% increase in the accuracy of water quality assessment for multi-classification imbalance samples.
Use Intention and User Expectations of Human-Supported and Self-Help eHealth Interventions: Internet-Based Randomized Controlled Trial
Authors: Cohen Rodrigues Talia R , Reijnders Thomas , Breeman Linda D , Janssen Veronica R , Kraaijenhagen Roderik A , Atsma Douwe E , Evers Andrea WM 
Published: November 2023

Background
Self-help eHealth interventions provide automated support to change health behaviors without any further human assistance. The main advantage of self-help eHealth interventions is that they have the potential to lower the workload of health care professionals. However, one disadvantage is that they generally have a lower uptake. Possibly, the absence of a relationship with a health care professional (referred to as the working alliance) could lead to negative expectations that hinder the uptake of self-help interventions. The Unified Theory of Acceptance and Use of Technology (UTAUT) identifies which expectations predict use intention. As there has been no previous research exploring how expectations affect the adoption of both self-help and human-supported eHealth interventions, this study is the first to investigate the impact of expectations on the uptake of both kinds of eHealth interventions.

Objective
This study investigated the intention to use a self-help eHealth intervention compared to a human-supported eHealth intervention and the expectations that moderate this relationship.

Methods
A total of 146 participants were randomly assigned to 1 of 2 conditions (human-supported or self-help eHealth interventions). Participants evaluated screenshots of a human-supported or self-help app–based stress intervention. We measured intention to use the intervention-expected working alliance and the UTAUT constructs: performance expectancy, effort expectancy, and social influence.

Results
Use intention did not differ significantly between the 2 conditions (t142=–1.133; P=.26). Performance expectancy (F1,140=69.269; P<.001), effort expectancy (F1,140=3.961; P=.049), social influence (F1,140=90.025; P<.001), and expected working alliance (F1,140=26.435; P<.001) were positively related to use intention regardless of condition. The interaction analysis showed that performance expectancy (F1,140=4.363; P=.04) and effort expectancy (F1,140=4.102; P=.045) more strongly influenced use intention in the self-help condition compared to the human-supported condition.

Conclusions
As we found no difference in use intention, our results suggest that we could expect an equal uptake of self-help eHealth interventions and human-supported ones. However, attention should be paid to people who have doubts about the intervention’s helpfulness or ease of use. For those people, providing additional human support would be beneficial to ensure uptake. Screening user expectations could help health care professionals optimize self-help eHealth intervention uptake in practice.

Trial Registration
OSF Registries osf.io/n47cz; https://osf.io/n47cz
Characteristics of bone metabolism disorders in military personnel in the Arctic regions: prospective study
Authors: Kireeva Elena B. , Yazenok Arkadiy V. , Agafonov Pavel V. , Gaiduk Sergey V. , Chumakov Aleksey V. 
Published: November 2023

OBJECTIVE. To study characteristics of bone metabolism disorders in military personnel in the Arctic regions.
MATERIALS AND METHODS. The survey was conducted and medical documentation of 189 male soldiers aged 23–42 (average age - 29,6±5,6) was studied. Depending on the duty station all the surveyed were divided into two groups: I – 107 soldiers, performing military service in the Arctic regions with at least 2 years of experience, II – 82 soldiers from the Western Military Region. Complaints, anamnesis data, objective status (including anthropometry) and medical documentation were assessed and studied in the surveyed military personnel. For estimating bone-mineral density, the method of calcaneus ultrasonography, using «GE Healthcare Achilles» densitometer was applied. The content of total calcium, inorganic phosphorus as well as the concentration of bone resorption markers – СТХ and NTX in the blood serum were used as analyzed laboratory rate of bone metabolism.
RESULTS. The study showed that almost half of the military personnel in the Arctic regions (48,6%) had the rate of bone-mineral density below the average value for healthy men of the same age group. It was noted that prevalence of osteopenia in the Arctic is significantly higher compared to military personnel from temperate regions. When studying bone resorption markers, it was noted that the group of Arctic military personnel experienced statistically significant increase in NTX, characterizing the rate of degradation in the newly formed bone as well as the tendency towards increase in CTX, reflecting the rate of degradation relative to the old bone.
DISCUSSION. The main link in the pathogenesis of low bone-mineral density in military personnel in the unfavorable Arctic environment is D3 vitamin metabolism disorder by lowering its formation in the skin and also it limited intake with food. High prevalence of disorder in bone-mineral density among Arctic military personnel might indicate the need for a more rigorous selection process in the Arctic regions with a mandatory in-depth survey of the bone metabolism system (determination of total calcium content, inorganic phosphorus, D3 vitamin) as well as performing according to osteodensitometry. It is advisable to conduct an annual survey of the Arctic military personnel at the duty station, involving a visiting military-medical commission with a therapist or rheumatologist as its member.
The Usage of wireless Intelligent control and UAVenabled B5G/6G network in fuzzy adaptive Kalman filter in INS/GNS integrated navigation system
Authors: xu xuguang , yu liang 
Published: November 2023

In the Inertial Navigation System/Geomagnetic Navigation System
(INS/GNS) integrated navigation system, divergence and measurement noise
that change with environments frequently occur must be reduced in order
to increase the accuracy and stability of autonomous, passive
navigation.Base
on the Unscented Kalman Filter,we can combine Convergence of intelligent sensing as
well as computing, and control for UAV-enabled B5G/6G network to deal with change in the variance and mean value of the
latest information. First，the noise’s covariance in the model is modified “online” to change
the estimation
of mean square deviation error and filtering gain of Kalman filtering by using 5G/6G network; Then, through UAV-enabled B5G/6G network and intelligent sensing to change the scaling factor of weight in sigma sampling
is adaptively changed to solve the nonlocal effect in UT transform and
improve the effciency and
accuracy of the navigation deposition system. The simulation results
show that
the fuzzy adaptive Kalman filter is very efficient for INS/GNS integrated navigation systems.It
overcome the shortcomings of traditional filtering method and
improve the accuracy of filtering.
Disseminated Multisystemic Tuberculosis in an HIV Negative Patient: A Case Report
Authors: Ikpe George , Omeke Christian , Ugwu Chukwuebuka , Okorie Onuka , Ihesie Austin , Poopola Israel 
Published: November 2023

Disseminated Tuberculosis, quite common in immunocompromised patients is uncommon in the immune-competent and at times mistaken for severe immunosuppression or intra-abdominal malignancy. Therefore, a high index of suspicion is required even in the immune-competent to make a diagnosis. We present a case of disseminated Tuberculosis in an immunocompetent individual.
Koreografi Tari Piriang Indang Nan Badantiang Sanggar V Tunang Kecamatan Naggalo Kota Padang
Authors: Wahyu Efendi Dita , Asriati Afifah 
Published: November 2023

This study aims to reveal describe and analyze the choreography of Piriang Indang Nan Badantiang Dance in Sanggar V Tunang, Nanggalo District, Padang City. This research using qualitative methods is research that uses a naturalistic approach. This research instrument is the researcher himself and is assisted by supporting instruments such as stationery and cameras. The data in this study used primary data and secondary data. Data collection techniques are carried out using literature studies, observations, interviews and documentation. The steps of analyzing data are data collection, data reduction, data presentation and conclusion. The results showed that cultivation is certainly inseparable from the creative process of wanting to develop a new motion and paying attention to the exploration of motion. After discovering the idea of the Indang Nan Badanting Piriang Dance the choreographer contemplates in a sound or term the vernacular in a dance that is often performed can become a dance title. The motion created by the choreographer comes from the existing motion and is redeveloped to be more widespread and different even though the performance performs the same or repetitive movements, but can be distinguished in the composition and cultivation. This Indang Nan Badantiang Piriang Dance has a dominant element of space having straight and curved lines, low and medium levels, front and side facing directions, medium and large volumes, and front and side view focus. According to the choreographer, the creation of the Piriang Badantiang Indang Dance was also inspired by the existing Piriang Dance movements but redeveloped so that they are not the same.
Stability of Sensor Network based on Non-linear Data Analysis for in situ Leaching of Ionic Rare Earth Ore Bodies under Similar Simulation Experiments
Authors: Deng Yun Chuan , Kang ShiJie , Yang Jie , Yu HongDong , Wan YinHua 
Published: November 2023

Abstract
Ionic rare earth (RE) mines use the in situ leaching (ISL) method to operate, but after investigation, it is found that the geological damage caused by RE mines is still serious in recent years. The structure is damaged, which affects the stability of the mine slope and even causes geological disasters such as landslides and collapses to a certain extent, which has a huge impact on the lives of local people. Therefore, it is very important to analyze the slope stability of RE mines. In this study, indoor similarity simulation experiments were conducted using the sensor network (SN) of non-linear data analysis, and its stability of the ISL of ionic RE ore bodies was studied. In addition, an indoor column leaching simulation experiment was carried out to observe the internal fine and microstructure of the ore sample during the whole leaching process using nuclear magnetic resonance (NMR) under the conditions of magnesium sulfate solution and water leaching, respectively. The evolution mechanism of the pore structure was analyzed during the leaching process. The experiments showed that during the whole leaching process, the ore body reaches saturation in the early stages, resulting in a sharp increase in the porosity of the ore sample within the first 1 h due to seepage. Subsequently, the porosity of each sample increases, indicating that the seepage of the leaching solution inside the sample has reached a relatively stable state.
Nurturing Hope Through Reciprocity
Authors: Bachner Ingrid 
Published: November 2023

Climate change has become a mainstream concern, with proposed solutions focusing on mitigating the impact of environmental degradation on human lives. I use Toronto’s High Park as a case study to explore why an essential aspect of achieving profound and enduring environmental restoration involves recognizing the deep interconnectedness between human beings and what we commonly refer to as “nature”. High Park’s black oak savannah was managed for thousands of years by Indigenous peoples, who used fire to maintain the savannah’s open canopy and activate seeds. European colonization halted these burns, leading to most of the savannah being lost to closed-canopy forests and invasive plants; globally, less than one percent of oak savannah ecosystems remain. Amid despair, we rekindle our hope through prescribed burns, stewardship programs, and the planting of grasses and wildflowers with long-stand relationships with the land; we know that hope is a discipline where collective commitment and action are essential. Indigenous knowledge and storytelling remind us of our responsibility of reciprocity to the land and all our relations. We sow these seeds of hope and trust they will flourish and generate new life, much like ancestral seeds activated by fire.
Callus Regeneration of Gynura procumbens (Lour.) Merr. In Vitro
Authors: Syahid Sitti Fatimah , Seti Lusia 
Published: November 2023

Gynura procumbens (Lour.) Merr. is one of the species of Asteraceae which is potential as medicinal. Propagation of the species could be conducted by vegetative, so the plant genetic variability is narrow. Genetic variability could be increased by somaclonal variation through callus culture. There is no report on in vitro regeneration from callus culture, although this method could assist further genetic improvement of plants. In this experiment, different concentrations of 2,4- D (0.1 ; 0.3 ; 0.5 mg L -1 ) singly or combination with BA (0.1 ; 0.3 and 0.5 mg L -1 ) were evaluated for callus induction and several concentrations of BA (0 ; 0.1; 0.5 and 1.0 mg -1 ) combination with kinetin (0.1 and 0.3 mg-1) were observed for ability of callus formed shoots. The results showed that the best media for callus induction was 0.5 mg L -1 2,4-D + 0.5 mg L -1 BA. This treatment produced friable callus structure, no roots and yellowish white. Callus regeneration was obtained on the combination of 0.1 mg L -1 BA. + 0.1 mg L -1 kinetin and 0.1 mg L -1 BA + 0.5 mg L -1 kinetin but the percentage was still low. Keywords: G procumbens {Lour.} Merr, induction, regeneration, calli, in vitro