bluuebunny/crossref_metadata_2025 huggingface dataset:
High value-added utilization of desulfurized building gypsum as self-leveling mortar: the comprehensive effect of cement
Authors: Zhao Min , Fan Puyue , Zhang Mingtao , Huang Jing , Leng Pengfei , Peng Jiahui
Published: December 2023

The utilization of desulfurized building gypsum as raw material for gypsum-based self-leveling mortar (GSL) is limited by its low strength and poor water resistance. The objective of this study was to improve comprehensive properties of GSL and prepare qualified desulfurized building gypsum-based self-leveling mortar, which had been applied in practical engineering. The influence of cement on water consumption rate of initial fluidity (W/M ratio), fluidity, setting time, mechanical strength, and water resistance of GSL were evaluated. Besides, the rheological parameter, heat of hydration, crystal morphology, and pore structure were also analyzed. Cement greatly improved the fluidity of slurry. Moreover, the compressive strength and softening coefficient of GSL reached 20.6 MPa and 0.56 at 10% cement, respectively. Cement reduced the 30 min-fluidity loss and improved fludity by reducing the yield stress and increasing the plastic viscosity of screed. The transformation of hydration kinetics of GSL could be due to Ca2+ and OH− released by cement, thus resulting in the shortening of initial setting time and the prolongation of the interval between initial and final setting time. Scanning electron microscopy (SEM) and energy dispersive X-ray spectroscopy (EDS) showed that CSH gel and AFt crystal would generate on the surface of CaSO4·2H2O crystal, making the structure more compact. Mercury Intrusion porosimetry (MIP) indicated that cement greatly reduced the porosity through the water reduction effect in the early stage and continuous hydration in the later stage. The continuous hydration of cement also increased the shrinkage rate. This work was expected to provide reference for promoting the application of desulfurized building gypsum as the high value-added screed.
Reparable Threshold Paillier Encryption Scheme for Federated Learning
Authors: Zhang Yi , Tian Kun , Lu Yunfan , Liu Fengxia , Li Cheng , Gong Zixian , Hu Zhe , Li Jia , Xu Qun
Published: December 2023

Threshold Paillier encryption scheme finds extensive application in the context of federated learning. However, the issue of client dropout frequently arises within the context of federated learning, rendering the conventional threshold Paillier encryption scheme ineffective for data decryption. To address this issue, this paper introduces a (n,k,d) repairable threshold Paillier encryption scheme by combining the repairable Shamir secret-sharing scheme with the Paillier encryption scheme. The proposed scheme has demonstrated several valuable capabilities. Specifically, we initially establish the security of the secret-sharing property of this scheme, namely, any group of k participants can collaboratively recover the private key, while k-1 or fewer participants cannot recover the private key. Moreover, we demonstrate the scheme's ability to handle the client dropout problem, namely, any group of d normal participants can collectively repair the private key segments of dropout clients. Ultimately, we substantiate that the (n,k,d) recoverable threshold Paillier encryption scheme consistently upholds the precision of decryption processes.
Groundnut crops in resource-constrained farms in Senegal: an overlooked diversity of perceptions, practices, and performances.
Authors: Djiba Sophie , Clermont-Dauphin Cathy , Tounkara Adama , Koussihouede Hermione , Cournac Laurent , Diarra Karamoko
Published: December 2023

Groundnut is the first cash crop and the main legume crop cultivated in rotation with the staple cereals in family farms of Senegal. Most agricultural research has focused on determining genotypes and management options to improve the yield. Conversely, little research has focused on the drivers of farmers’ management decisions. Here, for the first time, we assessed how the diversity of farmers’ resources endowments and perceptions influenced their practices and socioeconomic performances in groundnut cultivation in a Sub-Saharan region. The study was carried out in one of the driest and poorest area of the centre-west of Senegalese groundnut basin. We surveyed 46 farms selected by local facilitators, as being representative of three wealth levels. Both semi-structured and close questionnaires were used. High resource-endowed farms had the highest groundnut area proportion (28%). They used farm-saved seeds, more manure and synthetic fertilizers at the groundnut/millet rotation level than low resource-endowed farms. Their average groundnut unshelled grain yield (0.6 t.ha− 1) was the highest, although four times lower than achievable yield. Remarkably, most of their groundnut was self-consumed and they were the ones who developed novel cash crops such as watermelon. Their return on investment in groundnut, if all the harvest was sold, was the highest (843%). Regression tree analysis revealed that number of seeders and fattening livestock were priority resources determining the rate of groundnut area at the farms. Low resource-endowed farms perceived lack of tools and capital as priority constraints, while high resource-endowed farms most mentioned lack of capital and quality seeds. All farmers perceived multiple opportunities to maintain groundnut on farm, notably ecological services. Our findings highlighted that farms’ heterogeneity of perceptions and resources may be significant even within a homogeneous pedoclimatic region. They provide strong evidence that more targeted actions are needed to support the sustainability of groundnut in Senegal.
ALYREF facilitates the proliferation of hepatocellular carcinoma via MAZ-mediated p53-dependent cell cycle promotion
Authors: Ma Yuying , Liu Ting , Rong Fan , Naeem Abid , Jiang Bin , Wang Qiong , Yuan Yahong , Ding Yan , Meng Zhongji , Guo Xingrong , Wang Xiaoli
Published: December 2023

Hepatocellular carcinoma (HCC) is one of the most common malignancies worldwide, with poor prognosis and high mortality. Increasing evidence suggests that m5C binding protein ALYREF plays an important role in HCC progression. However, further research is required to understand its mechanism.The mechanism of ALYREF in HCC was investigated through combined RNA-seq, m5C-seq, and iCLIP-seq to identify potential target genes. Moreover, RT-qPCR, m5C dot blot assay, RNA immunoprecipitation, methylated RNA immuno-precipitation, dual-luciferase reporter assay, and RNA decay assay were used to confirm the mechanism.We identified 8 candidate genes which are modified by ALYREF-mediated RNA m5C modification. Moreover, we found that the content of MAZ modified by m5C was regulated by the methyltransferase NSUN2, and ALYREF could bind to the m5C site of MAZ mRNA and increase its stability. Additionally, we found that knockdown MAZ could inhibit HCC proliferation and reduce the promoting effect of ALYREF overexpression on HCC cell growth in vitro and in vivo. ALYREF and MAZ have a positive correlation; the higher the expression of ALYREF and MAZ, the lower the overall survival rate. Moreover, MAZ could bind to the p53 promoter and suppress the expression of p53, then mediate cell cycle promotion. Therefore, ALYREF promotes tumor growth by binding to the m5C site of MAZ mRNA, increasing its stability, and suppressing p53 via MAZ to regulate the cycle, which facilitates the proliferation of HCC. Overall, our study revealed that ALYREF contributes to HCC proliferation through the MAZ-mediated p53-dependent cell cycle, and the co-expression of ALYREF and MAZ in clinical samples may serve as an effective prognostic indicator for HCC.
Firefly-inspired Bipolar Information Indication System Actuated by White Light
Authors: Wang Changchun , Huang Hanwen , Yin Jiamiao , Zhou Qianwen , Li Huateng , Yang Junying , Wang Yaoben , Xu Ming
Published: December 2023

The indication of information in materials is widely used in our daily life, and optical encoding materials are ideal for information loading due to their easily readable nature and adjustable optical properties. However, most of them could only indicate one type of information, either changing or unchanging due to the mutual interference. Inspired by firefly, we present a noninterfering bipolar information indication system capable of indicating both changing and unchanging information. A photochemical afterglow material was incorporated into the photonic crystal matrix through high-throughput technique of shear-induced ordering technique, which can efficiently produce large-area photonic crystal films. The indication of changing and unchanging information is enabled by two different utilizations of white light by the afterglow material and photonic crystals, respectively, which overcomes the limitations of mutual interference. The consumption unit within the afterglow material can be tuned to match different degrees of light exposure, i.e., when tripling its concentration, the matching light exposure can increase from 3 to 39 J/cm2. As a proof of concept, this system was used to indicate the changing photodegradation level of mecobalamin (a photosensitive medicine) and unchanging intrinsic drug information with anti-counterfeiting functionality, which is a scalable and improved solution for information indication.
Impaired Arginine Metabolism in Hair Follicles: A Potential Mechanism in Androgenetic Alopecia
Authors: Li Ji , duan xin , cheng fan , li guo , Deng Zhi-Li , yang li , zhang jin , liu fen , li yun , wu zheng , chen ting , wang ben , zhao xiang , shi wei , xie fu , tang yan
Published: December 2023

Androgenetic alopecia (AGA) is a prevalent hair loss disorder characterized by an unclear pathogenesis mechanism and limited therapeutic efficacy. Despite a growing body of evidence indicating a link between AGA and metabolic disorders, the precise role of metabolism in AGA development remains elusive. In this study, we employed targeted metabolome profiling to identify distinct metabolic signatures in AGA patients, with a particular focus on amino acid-related metabolic pathways. Notably, our findings highlight a significant decrease in serum abundance of arginine in AGA patients.Locally, impaired arginine metabolism in hair follicles (HFs) experiencing balding was assumed, as evidenced by the heightened expression of ARG1, the pivotal enzyme regulating the arginine-ornithine transition, and the diminished expression of the arginine transporter SLC7A1. Our study further demonstrated that arginine deficiency hinders human hair growth by antagonizing the mTOR signaling pathway. Moreover, the administration of arginine effectively safeguards against the inhibition of hair growth induced by DHT in an AGA-like mouse model and in balding HFs obtained from AGA patients.Collectively, these findings reveal that obstruction of anagen maintenance cause by arginine deficiency occurs in AGA patients and raise the possibility of supplementation with arginine as a promising clinical treatment strategy.
Evolutionary game analysis on behavioral strategies of multi-stakeholder in construction and demolition waste (C&DW) recycling product industry
Authors: Wang Yanyan , Qi Lijun , Cui Wenjing
Published: December 2023

Construction and demolition waste(C&DW) recycling products have drawn worldwide attention over the past few decades. There is a general agreement among researchers that C&DW recycling product is an important means for curbing the deterioration of the environment in China. Previous studies mainly focused on the decision-making behavior of dual stakeholders or tripartite stakeholders, as well as lack of consideration of cooperation among multi-stakeholder. This study explored a dynamic evolutionary game model with three different parameter conditions to research decision-making behaviors and stable strategies of the multi-stakeholder involved in the C&DW recycling product industry, including government departments and some enterprises. This research also investigates how government’s supervision cost, penalty to the enterprises and the resource taxes affect the dynamic evolution process of the C&DW recycling. This research conducted numerical simulations by Python to analyze stakeholders’ behavioral evolutionarily stable strategy (ESS) and the sensitivity to main factors in each stage of the C&DW recycling product industry. Based on the results of the evolutionary game, this paper proposed that the roles of multi-stakeholder are different at different stages of industry development, and that supervision cost, penalty and resource tax have their own impacts on the C&DW recycling product industry. A series of discussions and simulation studies were proposed to accelerate the achievement of sustainable development of C&DW recycling products in China's building sectors.
Using Large Language Models to generate socio-economic datasets
Authors: Devetak Mitja , Mandel Antoine
Published: December 2023

We report the results of an experiment in which we use a Large Language Model (LLM) to generate a socio-economic dataset from unstructured online data. Specifically, we design a query to obtain the geolocation of the production facilities of a firm and loop this query over the set of top 2000 global firms. Such a dataset is not publicly available and is required to perform economic assessment of climate impacts. The LLM provided meaningful results for 75% of the firms, recovering a total of 35809 production sites. The rate of correct answers among those is of the order of 70%.
MEMS reservoir computing system with stiffness modulation for multi-scene data processing at the edge
Authors: Zou Xudong , Guo Xiaowei , Yang Wuhao , Xiong Xingyin , Wang Zheng
Published: December 2023

Reservoir computing (RC) is a bio-inspired neural network structure which can be implemented in hardware with ease. It has been applied across various fields such as memristors, and electrochemical reactions, among which the micro-electro-mechanical systems (MEMS) is supposed to be the closest to integrate sensing and computing. This paper introduces a novel MEMS reservoir computing system based on stiffness modulation, where natural signals directly influence the system stiffness as input. Under this innovative concept, information can be processed locally without the need for advanced data collection and pre-processing. We present an integrated RC system characterized by small volume and low power consumption, eliminating complicated setups in traditional MEMS RC for data discretization and transduction. We performed nonlinearity tuning for the resonator and optimized the post-processing algorithm by introducing a digital mask operator. Consequently, our MEMS RC is capable of both classification and forecasting, surpassing the capabilities of our previous non-delay-based architecture. The system successfully processed word classification and chaos forecasting with high accuracy, demonstrating its adaptability for multi-scene data processing. Our approach has initiated edge computing, enabling emergent applications in MEMS for local computations.
Anatomical plasticity and starch allocation in an invasive grass in response to fire
Authors: Rosalem Patrícia Fernanda , Gorgone-Barbosa Elizabeth , de Camargos Liliane Santos , Martins Aline Redondo
Published: December 2023

This study aimed to understand whether fire frequency in invaded areas by Urochloa brizantha (A.Rich.) R.D.Webster caused anatomical and physiological changes in this species. Twelve samples were collected per burn treatment in areas with different fire frequencies: fire exclusion, annual and biennial fires. Anatomical, histochemical and physiological analysis were performed on the leaves, rhizomes and roots. Our anatomical results showed that there was an increase in the thickness of the vascular bundle of U. brizantha leaves in the treatment of biennial burning. There were no anatomical differences in the roots. In the rhizomes, epidermis of the burned plants had greater thicknesses, the parenchyma and the vascular bundle of the biennially burned plants were more spherical than in unburned plants and in plants burned annually. This anatomical changes in grass tissues in response to fire have not yet been reported in the literature. In the physiological analyses, we found differences in the starch concentrations in relation to the different organs, the root presented more than 60% of the starch stored in the entire plant. Fire is changing the anatomy of this species, since there was an increase in the thickness of leaf tissues and also in rhizome tissues. The concentrations of starch in the root guaranteed plant to rapidly resprout after burning, which could be considered an advantage in post-fire environments to occupy rapidly the open spaces.
Development of clinical and laboratory biomarkers in an international cohort of 428 children with lupus nephritis
Authors: De Mutiis Chiara , Wenderfer Scott , Basu Biswanath , Bagga Arvind , Orjuela Alvaro , Sar Tanmoy , Aggarwal Amita , Jain Avinash , Boyer Olivia , Yap Hui-Kim , Ito Shuichi , Ohnishi Ai , Iwata Naomi , Kasapcopur Ozgur , Laurent Audrey , Chan Eugene , Mastrangelo Antonio , Ogura Masao , Shima Yuko , Rianthavorn Pornpimol , Silva Clovis , Trindade Vitor , Tullus Kjell
Published: December 2023

Background
There is no consensus on which treatment goals should be achieved to protect kidney function in children with lupus nephritis (LN).
Methods
We retrospectively analyzed trends of commonly used laboratory biomarkers of 428 patients (≤ 18 years old) with biopsy proven LN class ≥ III diagnosed and treated in the last 10 years in 25 international centers. We compared data of patients who developed stable kidney remission from 6 to 24 month with those who did not.
Results
Twenty five percent of patients maintained kidney stable remission while 75% did not.
Significantly more patients with stable kidney remission showed normal hemoglobin and erythrocyte sedimentation rate values from 6 to 24 months compared to the group without stable kidney remission.
Normal kidney function at onset, eGFR ≥90 ml/min/1.73m2, predicted the development of stable kidney remission (93.8%) compared to 64.7% in those without stable remission (P< 0.00001). At diagnosis 5.9% and 20.2% of the patients showed no proteinuria in the group with and without stable kidney remission respectively (P 0.0001).
DsDNA antibodies decreased from onset of treatment mainly during the first 3 months in all the groups, but more than 50% of all patients in both groups never normalized after 6 months. Complement C3 and C4 increased mainly in the first three months in all the patients without any significant difference.
Conclusion
Normal eGFR and the absence of proteinuria at onset and the normalization of Hb and ESR from 6 to 24 month were predictors of stable kidney remission.
Hypertension, depression, and health-related quality of life among hospitalized patients in Afghanistan
Authors: Neyazi Ahmad , Neyazi Mehrab , Timilsina Shashank , Padhi Bijaya , Griffiths Mark D.
Published: December 2023

Background: In recent decades, hypertension has become the foremost risk factor for disability-adjusted life years (DALYs). The present study investigated the association between hypertension and quality of life, as well as the association between hypertension and depression among hospitalized patients in Afghanistan.
Methods: A cross-sectional survey was administered from September 3, 2022, to February 2, 2023, in the Herat and Mazar-e-Sharif provinces of Afghanistan (N=2059).
Results: The prevalence of depression symptoms was 65.8%, and hypertension was 20.9%. Multiple regression analysis indicated that moderate physical functioning, poor role-physical, higher bodily pain, poor general health, poor social functioning, lower role-emotional, and poor mental health significantly predicted depression. Multiple regression analysis indicated that moderate quality of life, poor physical functioning, higher bodily pain, lower energy/fatigue, and depression significantly predicted hypertension.
Conclusion: The findings of the present study offer valuable insights for healthcare providers, policymakers, and researchers in developing targeted interventions and policies to enhance the well-being of individuals facing the challenges of depression and hypertension. The prevalence of hypertension and depression was high among patients in the Herat and Mazar-e-Sharif provinces of Afghanistan. Patients with hypertension had poor mental and physical quality of life. Hospitals should therefore implement regular screening for depression and offer psychological counseling for vulnerable patients with hypertension.
Necroptosis Stimulates Interferon-Mediated Protective Anti-Tumor Immunity
Authors: Rucker A. Justin , Park Christa , Li Qi-Jing , Moseman E Ashley , Chan Francis
Published: December 2023

Necroptosis is an inflammatory form of cell suicide that critically depends on the kinase activity of Receptor Interacting Protein Kinase 3 (RIPK3). Previous studies showed that immunization with necroptotic cells conferred protection against subsequent tumor challenge. Since RIPK3 can also promote apoptosis and NF-κB-dependent inflammation, it remains difficult to determine the contribution of necroptosis-associated release of damage-associated molecular patterns (DAMPs) in anti-tumor immunity. Here, we describe a system that allows us to selectively induce RIPK3-dependent necroptosis or apoptosis with minimal NF-κB-dependent inflammatory cytokine expression. In a syngeneic tumor challenge model, immunization with necroptotic cells conferred superior protection against subsequent tumor challenge. Surprisingly, this protective effect required CD4+ T cells rather than CD8+ T cells and is dependent on host type I interferon signaling. Our results provide evidence that death-dependent type I interferon production following necroptosis is sufficient to elicit protective anti-tumor immunity.
Factors that influence the adoption of a school-based eHealth alcohol prevention program: a mixed methods study
Authors: Rosado-Pulido Ester Alejandra , Fernández-León Pablo , Lima-Serrano Marta , de Vries Hein
Published: December 2023

Background
Drinking alcohol among adolescents is a public health problem worldwide. Evidence-based research has shown that using eHealth interventions effectively reduces risk behaviors such as alcohol consumption. However, despite its benefits, there has been a poor intention to adopt such innovations, and limited resources exist to understand factors influencing the uptake decision to use school-based eHealth alcohol prevention programs. This study aims to identify factors influencing the adoption of a computer-tailored eHealth alcohol prevention program among Spanish school personnel to increase voluntary adoption likelihood. Rogers' Diffusion of Innovations theory and the Integrated Change Model frameworks were used as theoretical bases for understanding the adoption process.
Methods
A cross-sectional study employing an exploratory sequential mixed methods research design following a development mixing purpose was carried out. First, interviews were conducted with ten Spanish school counselors to assess factors influencing the adoption of the school-based eHealth program by exploring participants' awareness and salient beliefs concerning attitudes, social influences, and self-efficacy. Second, an online quantitative questionnaire was developed based on the qualitative research findings. Third, the new questionnaire was applied to Spanish school personnel (N = 100), including the school management team, school counselors, and teachers.
Results
School personnel with a strong intention to adopt the program (intenders) perceived significantly more advantages and positive innovation attributes than those participants with a weaker intention to adopt (non-intenders). Intenders perceived a higher personal relevance towards using the program, more self-efficacy and positive social influences from their colleagues, and a greater agreement in preparing action plans than the non-intenders group. Advantages and social support were found to explain a significant portion of the variance in the adoption intention.
Conclusions
This study suggests that health intervention researchers should develop strategies to enhance educators' pro-innovation attitudes, perceived personal relevance and responsibility, and perceived ease of use towards adopting an eHealth program. Furthermore, our results indicate that fostering an environment which supports the acceptance of the intervention among the school personnel and planning specific actions with the goal intention of using the program are crucial elements in optimizing adoption promotion and, therefore, fostering dissemination of eHealth programs in school settings.
Fumonisins alone or mixed with other fusariotoxins increase the C22–24:C16 sphingolipid ratios in chickens and ducks, while deoxynivalenol and zearalenone have no effect
Authors: Guerre Philippe , Lassallette Elodie , Beaujardin-Daurian Ugo , Travel Angelique
Published: December 2023

Background
The inhibitory effect of fumonisins on ceramide synthases results in several effects on the sphingolipidome, and recent results in chickens suggest that the C22–24:C16 sphingolipid ratios may be complementary biomarkers to Sa:So. Feeding diets containing fumonisins, deoxynivalenol, or zearalenone alone or in combination up to the maximum levels recommended by the European Commission for 35 days in chickens and 12 days in ducks resulted in no effects on performance or toxicity. The aim of this study was to investigate their effects on the liver sphingolipidome.
Results
Sphingolipids were characterised by UHPLC-MSMS. Numerous significant effects of fusariotoxins on sphingolipids were observed at the class and analyte levels. Fusariotoxins alone decreased sphingolipids in chickens but had weak effects in ducks. Feeding fumonisins in combination with deoxynivalenol and zearalenone increased sphingolipid levels in chickens but not in ducks. These increases were mainly due to an increase in C22–24 sphingolipids, whereas C16 sphingolipids decreased. The Sa:So ratio and the C22–24:C16 ratio for ceramides, sphingomyelins, monohexosylceramides, dihydroceramides, and dihydrosphingomyelins were unaffected in chickens and ducks fed the diets containing deoxynivalenol or zearalenone but increased in animals fed the fumonisin diets. Interestingly, while the effects of feeding fumonisins alone or in combination on the total amount of sphingolipids differed in chickens, the Sa:So and C22-24:C16 ratios were similar. Partial least squares-discriminant analysis of sphingolipids did not allow discrimination of the animals exposed to deoxynivalenol or zearalenone from the unexposed animals. By contrast, good discrimination of the animals fed the diets containing fumonisins was achieved. Sphinganine, d20 sphinganine, a large number of C16 sphingolipids, and dihydrosphingomyelins for which the fatty acid contains more than 18 carbon atoms, were important variables in the models obtained in chickens and ducks.
Conclusions
The C22–24:C16 ratios of sphingolipids are increased in chickens and ducks by intake of fumonisins but not deoxynivalenol or zearalenone. The increases were similar when fumonisins were fed alone or in combination with deoxynivalenol or zearalenone. The increase in the C22–24:C16 ratio may be an important factor in explaining the interspecies differences in sensitivity to fumonisin toxicity.
AMPK Stimulation Inhibits YAP/TAZ Signaling to Ameliorate Hepatic Fibrosis
Authors: Shihan Mahbubul H. , Sharma Sachin , Cable Carson , Prathigudupu Vijaya , Chen Alina , Mattis Aras N. , Chen Jennifer Y.
Published: December 2023

Hepatic fibrosis is driven by the activation of hepatic stellate cells (HSCs). The Hippo pathway and its effectors, YAP and TAZ, are key regulators of HSC activation and fibrosis. However, there is a lack of mechanistic understanding of YAP/TAZ regulation in HSCs. Here we show that AMPK activation leads to YAP/TAZ inhibition and HSC inactivation in vitro, while the expression of a kinase-inactive mutant reversed these effects compared to wild type AMPKɑ1. Notably, the depletion of LATS1/2, an upstream kinase of YAP/TAZ signaling, rescues YAP/TAZ activation, suggesting that AMPK may be mediating YAP/TAZ inhibition via LATS1/2. In the carbon tetrachloride mouse model of fibrosis, pharmacologic activation of AMPK in HSCs inhibits YAP/TAZ signaling and reduces fibrosis. The findings implicate AMPK as a critical regulator of YAP/TAZ signaling and HSC inactivation and highlight AMPK activation as a therapeutic target for the treatment of hepatic fibrosis.
Spatial evolution mechanism of coal structure damage and gas permeability under water-based ultrasonic treatment
Authors: 曹 林杰 , Guo Xiaoyang , Song Liuni , Deng Cunbao , Zhang Yu , Mu Yongliang , Liu Fengyu , Xu Jiahua
Published: December 2023

This study investigates the spatial damage effect of water-based ultrasonic on the structure and permeability of high-grade coal. Herein, anthracite from No.10 coal seam of Bangou Coal Mine in Shanxi Province as the research object, and the following were drawn from the experimental research and the gas seepage simulation: (1) the matrix and minerals attached to the coal surface are shattered by bubbles, and some irregular pores and impact pits appear on the surface of the coal. (2) The internal pore structure of coal can be significantly improved in a relatively short period of time, while the fracture structure requires a longer action time. (3) Some large pores and fractures will achieve breakthroughs from nothing to something, with previously isolated and larger aperture seepage pores and fractures interconnected, forming larger connected pore clusters and fractures over the longer action time. (4) With the prolongation of the action time, the coal permeability shows an order of magnitude increase. The growth rate is fast in the pore-creating stage and the formation stage of connected pore clusters, but it is relatively slower in the pore expansion stage.
Intelligent and Mathematical Channel Modeling of Temperature Variation in 5 GHz Line of Sight Communication Over Inland Water Bodies
Authors: V Ancy P , V Vinod Kumar , U Sajesh Kumar
Published: December 2023

The design and optimization of wireless communication systems of aquatic cell-free networks in the 5 GHz frequency band depends on accurate channel modeling. This band has advantages such as higher data rates and reduced interference, making it well-suited for overcoming the challenges posed by aquatic environments. However, the propagation characteristics over water differ significantly from terrestrial scenarios due to the presence of evaporation duct and atmospheric effects. Crafting a complete channel model that considers both the properties of the water medium and the frequency traits presents a challenge due to these unique attributes. This paper modified the path loss equation which is derived by measurements above the water body taking accounts for different atmospheric conditions. It is well matched with predicted power using machine learning algorithm. The findings indicate a correlation between temperature variations and signal attenuation in the daytime, showcasing an increase in attenuation with rising temperature for the 5 GHz channel in water bodies. Conversely, during nighttime, attenuation decreases as temperatures drop in the same channel.
The Relationship of Conut Score and Blood Urea Nitrogen/albumin Ratio With Survival and Neurological Outcome in Patients With Acute Ischemic Stroke Followed in Neurology Intensive Care
Authors: Mingsar Eren , Tanrıverdi Zeynep , Çakırgöz Mensure , Düztaş Dilan , Sevil Hatice
Published: December 2023

Background
Stroke constitutes the second most prevalent cause of death and morbidity globally, and these patients are at risk of malnutrition due to neurological and cognitive impairments. This study assesses the identification of malnutrition in patients with acute ischemic stroke monitored in intensive care units and investigates whether this condition impacts survival and neurological progression.
Methods
The study included patients diagnosed with acute ischemic stroke who were followed in the Neurology Intensive Care Unit. Neurological progression was assessed using the modified Rankin scale. The Controlling Nutritional Status score was calculated using total cholesterol, serum albumin levels, and complete blood lymphocyte counts 24 hours after admission. Chi-square or Fisher's test for categorical variables, the Kaplan-Meier method for survival analyses, and univariate analyses for prognostically significant factors were used. Factors with a P-value < 0.05 were assessed with multivariate logistic and Cox regression analyses.
Results
A total of 208 patients were included in the study. The analyses found significant associations with neurological progression for National Institutes of Health Stroke Scale admission score (OR: 5.6, p < 0.001), stroke due to cardioembolic causes (OR: 7.2, p < 0.001), BUN/Albumin ratio (OR: 8.3, p < 0.001), and Controlling Nutritional Status score (OR: 4.3, p < 0.001). In multivariate analyses, the National Institutes of Health Stroke Scale admission score (OR: 1.2, p:0.003), stroke due to cardioembolic causes (OR: 7.7, p:0.018), BUN/Albumin ratio (OR: 7.4, p:0.014), and Controlling Nutritional Status score (OR: 3.8, p:0.013) were significantly associated with neurological progression. In-hospital mortality rate increased with high Controlling Nutritional Status scores and BUN/Albumin ratio.
Conclusions
This study delves into the prognostic value of biological parameters, including the Controlling Nutritional Status score and the BUN/Albumin ratio, for determining neurological progression and overall survival. Furthermore, we examine the influence of stroke type and initial National Institutes of Health Stroke Scale values on patient prognosis.
Assessment of Cell Surface Targets in Metastatic Prostate Cancer: Expression Landscape and Molecular Correlates
Authors: Haffner Michael , Ajkunic Azra , Sayar Erolcan , Roudier Martine , Patel Radhika , Coleman Ilsa , Sarkar Navonil , Hanratty Brian , Adil Mohamed , Zhao Jimmy , Zaidi Samir , True Larry , Sperger Jamie , Cheng Heather , Yu Evan , Montgomery Robert , Hawley Jessica , Ha Gavin , Lee John , Harmon Stephanie , Corey Eva , Lang Joshua , Sawyers Charles , Morrissey Colm , Schweizer Michael , Gulati Roman , Nelson Peter
Published: December 2023

Therapeutic approaches targeting proteins on the surface of cancer cells have emerged as an important strategy for precision oncology. To fully capitalize on the potential impact of drugs targeting surface proteins, detailed knowledge about the expression patterns of the target proteins in tumor tissues is required. In castration-resistant prostate cancer (CRPC), agents targeting prostate-specific membrane antigen (PSMA) have demonstrated clinical activity. However, PSMA expression is lost in a significant number of CRPC tumors, and the identification of additional cell surface targets is necessary in order to develop new therapeutic approaches. Here, we performed a comprehensive analysis of the expression and co-expression patterns of trophoblast cell-surface antigen 2 (TROP2), delta-like ligand 3 (DLL3), and carcinoembryonic antigen-related cell adhesion molecule 5 (CEACAM5) in CRPC samples from a rapid autopsy cohort. We show that DLL3 and CEACAM5 exhibit the highest expression in neuroendocrine prostate cancer (NEPC), while TROP2 is expressed across different CRPC molecular subtypes, except for NEPC. We observed variable intra-tumoral and inter-tumoral heterogeneity and no dominant metastatic site predilections for TROP2, DLL3, and CEACAM5. We further show that AR amplifications were associated with higher expression of PSMA and TROP2 but lower DLL3 and CEACAM5 levels. Conversely, PSMA and TROP2 expression was lower in RB1-altered tumors. In addition to genomic alterations, we demonstrate a tight correlation between epigenetic states, particularly histone H3 lysine 27 methylation (H3K27me3) at the transcriptional start site and gene body of TACSTD2 (encoding TROP2), DLL3, and CEACAM5, and their respective protein expression in CRPC patient-derived xenografts. Collectively, these findings provide novel insights into the patterns and determinants of expression of TROP2, DLL3, and CEACAM5 with important implications for the clinical development of cell surface targeting agents in CRPC.
Tobacco rattle virus-based virus-induced gene silencing (VIGS) as an aid for functional genomics in Saffron (Crocus sativus L.)
Authors: Kalia Diksha , Jose-Santhi Joel , Sheikh Firdous Rasool , Singh Deepika , SINGH RAJESH KUMAR
Published: December 2023

Several limitations in genetic engineering interventions in saffron exist, hindering the development of genetically modified varieties and the widespread application of genetic engineering in this crop. Lack of genome sequence information, complexity of genetic makeup and lack of well-established genetic transformation protocols limits its in planta functional validation of genes that would eventually lead toward crop optimization. In this study, we demonstrate agro infiltration in leaves of adult plants and whole corm before sprouting are suitable for transient gene silencing in saffron using Tobacco Rattle Virus (TRV) based virus-induced gene silencing (VIGS) targeting phytoene desaturase (PDS). Silencing of PDS resulted in bleached phenotype in leaves in both methods. TRV-mediated VIGS could be attained in saffron leaves and corms, providing an opportunity for functional genomics studies in this expensive spice crop.
Leveraging a New Base Belief Function for Conflict Data Management and Decision Support
Authors: Dutta Palash , Shome Sonom
Published: December 2023

The Dempster-Shafer theory (D-S theory) finds wide-ranging applications, including pattern recognition and decision making. When paradoxes exists in multi-source information system due to unfavorable environment, unification cannot be reliably and effectively performed by traditional D-S theory. In light of this, a fresh perspective is taken to construct a base belief function for conflict data fusion within the D-S theory. In this novel approach, a new base belief function is introduced to modify the original basic probability assignment (BPA) prior to applying the classical Dempster combination rule (DCR) in a closed world scenario. Instead of assigning initial belief to the entire power set of the Frame of Discernment(FOD), the proposed method assigns base belief to individual events. This targeted approach aims to reduce the existing uncertainty within the FOD. To generate more intuitive outcomes, the proposed method combines the base belief function with the original BPA, thus incorporating all the pertinent information contained in the evidence set (BOE). Compared to other alternative methods, the proposed approach demonstrates consistent and logical outcomes that align with the real world. Furthermore, it exhibits a high rate of convergence and lower computational complexity. An advantageous aspect of the proposed method is its utilization of maximum information from the evidence set, not limited to an average operation between the base belief function and the initial BPA. This comprehensive integration not only resolves conflicts within the evidence set but also generates effective outcomes. To validate the efficaciousness of the proposed method, several numerical examples are presented, along with its application to classification problems. These instances substantiate the effectiveness of the approach in practice.
Predicting Adoption Intention of ChatGPT- A Study on Business Professionals of Bangladesh
Authors: Emon Md Mehedi Hasan
Published: December 2023

This study examines the adoption intention of ChatGPT, an AI-based tool, among business professionals. A sample of 350 participants was surveyed to gather data on demographic characteristics, attitudes towards AI, performance expectations, trust, effort expectancy, facilitating conditions, behavioral intention to use, and actual use of ChatGPT. The findings indicate that the respondents had a positive perception of ChatGPT, considering it as an efficient and convenient tool for academic and professional work. They reported that ChatGPT enabled them to accomplish tasks more quickly and increased their efficiency. The study also found that the majority of participants had a strong behavioral intention to use ChatGPT, and this intention strongly predicted their actual usage. Factors such as attitudes towards AI, performance expectations, trust, effort expectancy, and facilitating conditions significantly influenced adoption intention. Specifically, individuals with positive attitudes towards AI and higher expectations of performance were more likely to have a stronger intention to use ChatGPT. Moreover, trust in the tool, lower perceived effort required, and the presence of favorable conditions were associated with higher adoption intention. These findings highlight the importance of individuals' beliefs, perceptions, and contextual factors in shaping their adoption intention of AI technologies. The study concludes that promoting the perceived benefits and usefulness of ChatGPT, building trust in its capabilities, minimizing perceived effort required, and creating facilitating conditions are crucial for encouraging the adoption of AI technologies among business professionals. The insights from this study can inform developers and organizations in enhancing the adoption and effective usage of ChatGPT and similar AI tools.
Hormonal dynamics shape brain structural plasticity across the menstrual cycle:
Insights from dense-sampling structural brain imaging of females with and without endometriosis
Authors: Heller Carina , Gaser Christian , Colic Lejla , Javaheripour Nooshin , Cruz Feliberto de la , Rojczyk Philine , Koeppel Carina , Ganjgahi Habib , Lange Frederik , Buck Ann-Christine , Kiehntopf Michael , Pritschet Laura , Jacobs Emily , Kikinis Zora , Walter Martin , Croy Ilona , Güllmar Daniel
Published: December 2023

Gonadal hormone fluctuations in females have been associated with symptoms of mental health, yet the underlying brain mechanisms remain understudied. Recent advances in neuroscience have shifted the paradigm towards longitudinal tracking, enabling the detection of subtle changes overlooked in conventional cross-sectional analyses. This dense-sampling approach acknowledges the rhythmic nature of gonadal hormone production. Our study employed three densely sampled females who underwent brain imaging and venipuncture (5 to 7 days per week) over the full menstrual cycle to investigate the impact of gonadal hormone variation on brain structure. In two healthy females with typical menstrual cycles, progesterone and progesterone/estradiol ratios were inversely associated with spatiotemporal structural brain patterns across the cycle. To probe the neural effects of hormonal dysregulation, we densely sampled a participant with endometriosis, an endocrine disorder affecting 10% of females in their reproductive years. Here, the spatiotemporal brain pattern was associated only with estradiol fluctuations. Our findings suggest that gonadal hormones are associated with short-term brain structural changes, with distinctions observed between typical and endometriosis cycles. This emphasizes the consideration of individual hormonal dynamics in understanding fluctuations in brain structural plasticity.
The clinical efficacy of transurethral prostate resection in patients with Benign Prostatic Hyperplasia
Authors: Cao Huan , Yao Chungen , Liu Wen , Yang Jinkai , Luo Yuhua
Published: December 2023

Background Benign prostatic hyperplasia (BPH) is a common urological disease in middle-aged and elderly men. Currently, two surgical methods are commonly used in clinical practice: transurethral plasma resection of the prostate (TUPKEP) and transurethral resection of the prostate (TURP). However, the specific advantages and disadvantages of the two surgeries still need to be further explored. Objective This study aims to analyze the clinical efficacy of TUPKEP and TURP treatments in patients with BPH, in order to find the best surgical approach. Methods 240 patients with BPH were selected and divided into a TUPKEP group and a TURP group based on surgical methods, with 120 cases in each group. The TUPKEP group received TUPKEP, while the TURP group received TURP. Compare the therapeutic effects of two groups. Results Compared with TUPKEP group, the levels of prostate specific antigen (PSA) in the TURP group were lower (P < 0.001), and the International Erectile Function Questionnaire-5 (IIEF-5) scores were higher (P < 0.01); There was no significant difference in the incidence of complications between the two groups (P > 0.05). Conclusion Compared with TUPKEP group, TURP treatment of BPH has better clinical efficacy, and the complication rate is basically the same.
Caesalpinia bonduc seeds assisted biosynthesis of Fe/ZnO photo-catalyst for degradation of methyl orange dye in aqueous medium
Authors: Siddique Mohsin , Abdullaev Sherzod , Altaf Muhammad , Viktor Patrik , Fodor Monika , Naeem Raheel , Sayed Murtaza , Iqbal Jibran , Shah Noor S.
Published: December 2023

The photocatalytic degradation of organic dyes has emerged as an efficient approach for wastewater treatment. In this study, Fe-ZnO nanocomposites (NCPs) were synthesized using extracts from the Caesalpinia bonduc seeds, a renewable and eco-friendly source. The synthesized NCPs were found to exhibit remarkable photocatalytic activity towards the degradation of methyl orange (MO) dye, a commonly used textile dye. Characterization techniques, including X-ray diffraction (XRD), scanning electron microscopy (SEM), Transmission electron microscopy (TEM), X-ray Photoelectron Spectroscopy (XPS), Thermogravimetric Analysis (TGA), and Fourier-transform infrared spectroscopy (FTIR), to confirm the successful synthesis of the nanocomposites. The photocatalytic degradation of methyl orange dye was investigated under visible light irradiation with a wavelength range of 400–700 nm. The results exhibited an impressive 90% reduction in the concentration of the methyl orange (MO) dye within 120 minutes of reaction time. Thorough investigations were conducted to assess the impact of various reaction parameters such as the catalyst loading, initial dye concentration, and the effect of hydroxyl radical scavengers to investigate the reaction kinetics and the degradation mechanism of MO dye. Moreover, the reusability and stability of the Fe-ZnO nanocomposites were evaluated, demonstrating their capability for practical applications in wastewater treatment. The study highlights the advantageous utilization of Fe-ZnO nanocomposites, synthesized through an environmentally benign green chemistry technique utilizing C. bonduc seed extracts. These nanocomposites serve as efficient and reusable catalysts for the photocatalytic degradation of methyl orange dye, thereby contributing to the advancement of eco-friendly and cost-effective solutions for treating textile wastewater.