bluuebunny/crossref_metadata_2025 huggingface dataset:
Socio-economic pandemic modelling: case of Spain
Authors: Snellman Jan E. , Barreiro Nadia L. , Barrio Rafael A. , Ventura Cecilia I. , Govezensky Tzipe , Kaski Kimmo K. , Korpi-Lagg Maarit J.
Published: January 2024

A global disaster, such as the recent Covid-19 pandemic, affects every aspect of our lives and there is a need to investigate these highly complex phenomena if one aims to diminish their impact in the health of the population, as well as their socio-economic stability. In this paper we present an attempt to understand the role of the governmental authorities and the response of the rest of the population facing such emergencies. We present a mathematical model that takes into account the epidemiological features of the pandemic and also the actions of people responding to it, focusing only on three aspects of the system, namely, the fear of catching this serious disease, the impact on the economic activities and the compliance of the people to the mitigating measures adopted by the authorities. We apply the model to the specific case of Spain, since there are accurate data available about these three features. We focused on tourism as an example of the economic activity, since this sector of economy is one of the most likely to be affected by the restrictions imposed by the authorities, and because it represents an important part of Spanish economy. The results of numerical calculations agree with the empirical data in such a way that we can acquire a better insight of the different processes at play in such a complex situation, and also in other different circumstances.
Effects of abdominal aortic aneurysm on long-term survival in lung cancer patients
Authors: Kim Hyangkyoung , Kwon Tae-Won , Cho Yong-Pil , Gwon Jun Gyo , Han Youngjin , Lee Sang Ah , Kim Ye-Jee , Kim Seonok
Published: January 2024

The major causes of death in patients with abdominal aortic aneurysm (AAA) are cardiovascular disease and cancer. The purpose of this study was to evaluate the effect of AAA on long-term survival in lung cancer patients. All patient data with degenerative type AAA and lung cancer over 50 years of age during the period 2009 to 2018 was collected retrospectively from a National Health Insurance Service (NHIS) administrative database and matched to lung cancer patients without AAA by age, sex, metastasis, and other comorbidities. Mortality rate was compared between the groups. A total of 956 AAA patients who could be matched with patients without AAA were included, and 3824 patients in the matched group were used for comparison. Patients with AAA showed higher risk of death compared with the matched cohort (adjusted hazard ratio (HR) 1.14, 95% confidence interval (CI) 1.06–1.23, p < 0.001). When compared to a matched group of untreated AAA patients, patients with of history of AAA exhibited a significantly increased risk of overall mortality [HR (95%CI) 1.219 (1.113–1.335), p < .001, adjusted HR (95% CI) 1.177 (1.073–1.291), p = .001]. By contrast, mortality risk of AAA patients treated either by endovascular abdominal aortic repair or open surgical repair was not significantly different from that of the matched group (p = 0.079 and p = 0.625, respectively). The mortality risk was significantly higher when AAA was present in lung cancer patients, especially in patients with unrepaired AAA, suggesting the need for continuous cardiovascular risk management.
Physico- and phytochemical properties of Brassica juncea as affected by agroclimatic conditions
Authors: Batool Uzma , Nawaz Rab , Ahmad Sajjad , Irshad Muhammad Atif , Irfan Ali , Gaafar Abdel-Rhman Z. , Arshad Muhammad , Wondmie Gezahign Fentahun , Qayyum Mir Muhammad Nasir , Bourhia Mohammed
Published: January 2024

Physicochemical and phytochemical assessment of leaf mustard (Brassica juncea L.) grown in different agroclimatic conditions is essential to highlight their compositional variability and evaluate the most suitable bunch of agroclimatic and agronomic practices. B. juncea is one of the important leafy vegetables that serve as source of vitamin A and C and iron, and plenty of antioxidants. This in situ research was executed to assess the quality variability of B. juncea grown in different agroecosystems. Leaves’ samples of B. juncea were procured from 15 farmers’ fields exhibiting different agroclimatic conditions i.e., elevation, nutrient management, temperature, irrigation, and tillage practices. Leaves’ samples were subjected to physicochemical and phytochemical analysis, i.e., moisture, pH, TSS, ascorbic acid, carotenoids, phenolics, flavonoids, and antioxidant potential. In the leaves’ samples of B. juncea, the target properties were found to vary significantly (P ≤ 0.05) in different agroclimatic conditions. The moisture content, ascorbic acid, phenolic content, carotenoids, and antioxidants were found in the range of 62.7–79.3%, 74–91 mg/100 g, 49.2–49.2 mg GAE/100 g, 436.3–480 mg β carotene/100 g, 32.7–46.67%, respectively. This study elaborates the significant variation of physicochemical and phytochemical attributes of B. juncea due to the prevailing agroclimatic conditions. This necessitates the appropriate choice of B. juncea concerning its composition and ecological conditions of its cultivation in the prospective health benefits.
Risk of adverse pregnancy outcomes in pregnant women with gestational diabetes mellitus by age: a multicentric cohort study in Hebei, China
Authors: Zhang Ting , Tian Meiling , Zhang Ping , Du Liyan , Ma Xuyuan , Zhang Yingkui , Tang Zengjun
Published: January 2024

Gestational diabetes mellitus (GDM) is an unique metabolic disorder that occurs during pregnancy. Both GDM and advanced age increase the risk of adverse pregnancy outcomes. This study used a GDM cohort study to investigate the role of age in the adverse pregnancy outcomes for pregnant women with GDM. From 2015 to 2021, 308,175 pregnant women were selected, and the data received from 22 hospitals by the Hebei Province Maternal Near Miss Surveillance System. There were 24,551 pregnant women with GDM that were divided into five groups by age (20–24, 25–29, 30–34, 35–39, 40–44 years old). Because the prevalence of adverse pregnancy outcomes was lower in pregnant women with GDM aged 25–29, they were used as a reference group (P < 0.05). Compared with GDM women aged 25–29 years, GDM women aged 35–44 years had a significant higher risk of cesarean delivery (aOR: 2.86, 95% CI 2.52–3.25) (P < 0.001), abnormal fetal position (aOR: 1.78, 95% CI 1.31–2.37) (P < 0.001), pre-eclampsia (aOR: 1.28, 95% CI 1.01–1.61) (P < 0.05), macrosomia (aOR: 1.25, 95% CI 1.08–1.45) (P < 0.05), and large for gestational age (LGA) (aOR: 1.16, 95% CI 1.02–1.31) (P < 0.05), GDM women aged 40–44 years had a higher risk of placenta previa (aOR: 2.53, 95% CI 1.01–6.35) (P < 0.05), anemia (aOR: 3.45, 95% CI 1.23–9.68) (P < 0.05) and small for gestational age (aOR: 1.32, 95% CI 1.01–1.60) (P < 0.05). Advanced maternal age was an independent risk factor for abnormal fetal position, pre-eclampsia, anemia, macrosomia, and LGA in pregnant women with GDM.
Solving real-world optimization tasks using physics-informed neural computing
Authors: Seo Jaemin
Published: January 2024

Optimization tasks are essential in modern engineering fields such as chip design, spacecraft trajectory determination, and reactor scenario development. Recently, machine learning applications, including deep reinforcement learning (RL) and genetic algorithms (GA), have emerged in these real-world optimization tasks. We introduce a new machine learning-based optimization scheme that incorporates physics with the operational objectives. This physics-informed neural network (PINN) could find the optimal path in well-defined systems with less exploration and also was capable of obtaining narrow and unstable solutions that have been challenging with bottom-up approaches like RL or GA. Through an objective function that integrates governing laws, constraints, and goals, PINN enables top-down searches for optimal solutions. In this study, we showcase the PINN applications to various optimization tasks, ranging from inverting a pendulum, determining the shortest-time path, to finding the swingby trajectory. Through this, we discuss how PINN can be applied in the tasks with different characteristics.
Exploring public interest in gut microbiome dysbiosis, NAFLD, and probiotics using Google Trends
Authors: Pezzino Salvatore , Sofia Maria , Mazzone Chiara , Litrico Giorgia , Agosta Marcello , La Greca Gaetano , Latteri Saverio
Published: January 2024

Scientific interest related to the role of gut microbiome dysbiosis in the pathogenesis of non-alcoholic fatty liver disease (NAFLD) has now been established and is constantly growing. Therefore, balancing dysbiosis, through probiotics, would be a potential therapy. In addition to scientific interest, on the other hand, it is important to evaluate the interest in these topics among the population. This study aimed to analyze, temporally and geographically, the public's interest in gut microbiome dysbiosis, NAFLD, and the use of gut probiotics. The most widely used free tool for analyzing online behavior is Google Trends. Using Google Trends data, we have analyzed worldwide volume searches for the terms “gut microbiome”, “dysbiosis”, “NAFLD” and “gut probiotic” for the period from 1, January 2007 to 31 December 2022. Google's relative search volume (RSV) was collected for all terms and analyzed temporally and geographically. The RSV for the term “gut microbiome” has a growth rate of more than 1400% followed, by “gut probiotics” (829%), NAFLD (795%), and “dysbiosis” (267%) from 2007 to 2012. In Australia and New Zealand, we found the highest RSV score for the term “dysbiosis” and “gut probiotics”. Moreover, we found the highest RSV score for the term “NAFLD” in the three countries: South Korea, Singapore, and the Philippines. Google Trends analysis showed that people all over the world are interested in and aware of gut microbiome dysbiosis, NAFLD, and the use of gut probiotics. These data change over time and have a geographical distribution that could reflect the epidemiological worldwide condition of NAFLD and the state of the probiotic market.
Exosome microRNA-22 inhibiting proliferation, migration and invasion through regulating Twist1/CADM1 axis in osteosarcoma
Authors: Ruan Qing , Wang Cuijie , Wu Yuntao , Zhu Qingsan
Published: January 2024

This study aims to the function of miR-22 original mesenchymal stem cells (MSC) on osteosarcoma (OS) proliferation, migration and invasion. Bio-informatics analysis including GEO2R analysis, Gene Ontology analysis, integration analysis were used to confirmed the target genes (miR-22, Twist1, CADM1) in OS. RT-qPCR and western blotting confirmed the different expression of miR-22, Twist1, CADM1 in OS tissues, MG63 and Saos cell lines. MTS assay, CCK8 assay, colony forming assay, EdU assay were performed to detect the proliferation effect of miR-22 on MG63. Transwell migration assay, transwell invasion assay, wound healing assay were used to verify the migration and invasion effect of miR-22 on MG63. Luciferase reporter assay confirm the binding sites between miR-22 and Twist1. RT-qPCR confirmed miR-22 and CADM1 downregulated and Twist1 upregulated in OS tissues, MG63 and Saos. Exosome original MSC labeled with PKH-26 could be uptake by MG63, which upregulated the expression of miR-22 in MG63. High expression of miR-22 in MG63 inhibited proliferation, migration and invasion, which could be rescued by Twist1. Dual luciferase reporter analysis confirmed Twist1 was a target of miR-22. Exosome modified with miR-22 mimic inhibit proliferation, migration and invasion more efficient than exosome original MSC. miR-22 cargo in exo-MSC could uptake by MG63 and supply MG63 with miR-22, which inhibit MG63 proliferation, migration and invasion through targeting Twist1.
Time of day bias for biological sampling in studies of mammary cancer
Authors: Walton James C. , Walker William H. , Nelson Randy J. , DeVries A. Courtney
Published: January 2024

Despite its demonstrated biological significance, time of day is a broadly overlooked biological variable in preclinical and clinical studies. How time of day affects the influence of peripheral tumors on central (brain) function remains unspecified. Thus, we tested the hypothesis that peripheral mammary cancer tumors alter the transcriptome of immune responses in the brain and that these responses vary based on time of day; we predicted that time of day sampling bias would alter the interpretation of the results. Brain tissues collected at mid dark and mid light from mammary tumor-bearing and vehicle injected mice were analyzed using the Nanostring nCounter immune panel. Peripheral mammary tumors significantly affected expression within the brain of over 100 unique genes of the 770 represented in the panel, and fewer than 25% of these genes were affected similarly across the day. Indeed, between 65 and 75% of GO biological processes represented by the differentially expressed genes were dependent upon time of day of sampling. The implications of time-of-day sampling bias in interpretation of research studies cannot be understated. We encourage considering time of day as a significant biological variable in studies and to appropriately control for it and clearly report time of day in findings.
Substantial kelp detritus exported beyond the continental shelf by dense shelf water transport
Authors: van der Mheen Mirjam , Wernberg Thomas , Pattiaratchi Charitha , Pessarrodona Albert , Janekovic Ivica , Simpkins Taylor , Hovey Renae , Filbee-Dexter Karen
Published: January 2024

Kelp forests may contribute substantially to ocean carbon sequestration, mainly through transporting kelp carbon away from the coast and into the deep sea. However, it is not clear if and how kelp detritus is transported across the continental shelf. Dense shelf water transport (DSWT) is associated with offshore flows along the seabed and provides an effective mechanism for cross-shelf transport. In this study, we determine how effective DSWT is in exporting kelp detritus beyond the continental shelf edge, by considering the transport of simulated sinking kelp detritus from a region of Australia’s Great Southern Reef. We show that DSWT is the main mechanism that transports simulated kelp detritus past the continental shelf edge, and that export is negligible when DSWT does not occur. We find that 51% per year of simulated kelp detritus is transported past the continental shelf edge, or 17–29% when accounting for decomposition while in transit across the shelf. This is substantially more than initial global estimates. Because DSWT occurs in many mid-latitude locations around the world, where kelp forests are also most productive, export of kelp carbon from the coast could be considerably larger than initially expected.
A whale optimization algorithm based on atom-like structure differential evolution for solving engineering design problems
Authors: Tang Junjie , Wang Lianguo
Published: January 2024

The whale optimization algorithm has received much attention since its introduction due to its outstanding performance. However, like other algorithms, the whale optimization algorithm still suffers from some classical problems. To address the issues of slow convergence, low optimization precision, and susceptibility to local convergence in the whale optimization algorithm (WOA). Defining the optimization behavior of whale individuals as quantum mechanical behavior, a whale optimization algorithm based on atom-like structure differential evolution (WOAAD) is proposed. Enhancing the spiral update mechanism by introducing a sine strategy guided by the electron orbital center. Improving the random-walk foraging mechanism by applying mutation operations to both the electron orbital center and random individuals. Performing crossover operations between the newly generated individuals from the improved mechanisms and random dimensions, followed by a selection process to retain superior individuals. This accelerates algorithm convergence, enhances optimization precision, and prevents the algorithm from falling into local convergence. Finally, implementing a scouting bee strategy, where whale individuals progressively increase the number of optimization failures within a limited parameterL. When a threshold is reached, random initialization is carried out to enhance population diversity. Conducting simulation experiments to compare the improved algorithm with the whale optimization algorithm, other optimization algorithms, and other enhanced whale optimization algorithms. The experimental results indicate that the improved algorithm significantly accelerates convergence, enhances optimization precision, and prevents the algorithm from falling into local convergence. Applying the improved algorithm to five engineering design problems, the experimental results demonstrate that the improved algorithm exhibits good applicability.
Strength properties and ability to dissipate mechanical energy of biopolypropylene basalt/cellulose composites with the addition of antibacterial turmeric
Authors: Rusin-Żurek Karina , Kuciel Stanisław
Published: January 2024

The aim of this study was to evaluate the possibility of producing novel reinforced biocomposites based on polypropylene produced from biomass with the addition of antibacterial turmeric as a natural antibacterial agent for the manufacturing of orthoses and other small external medical equipment. Six hybrid composites containing 5–15% basalt fibers, 5–15% microcellulose fibers, 2% turmeric powder and 2% anhydride maleic compatibilizer were produced on a biobased polypropylene matrix by injection molding. The basic strength properties were determined in a static tensile, bending and impact test. The low-cycle dynamic test was carried out to determine changes in dissipation energy and the development of relaxation processes. In order to assess the microstructure of the composites, SEM micrographs were taken after the tensile test. The obtained results confirm that it was possible to produce functional biocomposites based on biopolypropylene with the addition of basalt and lignocellulosic fibers modified with natural antibacterial turmeric. Based on the results of strength properties tests, it can be seen that the addition of basalt fibers increases strength and stiffness, while microcellulose particles reduce the ability to dissipate mechanical energy, and in both cases water has a plasticizing effect on the produced composites. The addition of fibers increases the flexural modulus by 39–196% and is higher the higher the fiber content. The most promising seem to be hybrid composites with a balanced proportion of 10:10 and 15:15 basalt and EFC fibers, which are characterized by 20% higher strength and almost two and a half times higher stiffness than neat polypropylene.
Oral health-related quality of life and survival analysis after preventive and restorative treatment of molar-incisor hypomineralisation
Authors: Sekundo Caroline , Jung Marina , Muscholl Clara , Frese Cornelia
Published: January 2024

The aim of this study was to assess the impact of molar-incisor hypomineralisation (MIH) on oral health-related quality of life (OHRQoL) in children and adolescents, including information on restorative care, tooth sensitivity, as well as sociodemographic factors. Thirty-five patients aged between 7 and 17 years underwent a comprehensive oral examination. Severity of MIH was graded using the MIH Treatment Need Index (MIH-TNI), OHRQoL using the Child Oral Health Impact Profile (COHIP-19). Clinical quality of restorations was assessed according to modified FDI-criteria, tooth sensitivity using the Schiff Cold Air Sensitivity Scale (SCASS). The mean age was 11.3 ± 3.0 years, 34% were female. On average, 6.9 ± 2.8 teeth were affected, 62,9% had hypersensitive teeth (SCASS ≥ 1). Eighty-nine percent of patients had received restorative care, with a mean of 3.3 ± 2.1 teeth restored, most often with composite, followed by fissure sealing. Nine percent of restorations failed by the FDI-criteria. Mean estimated survival times for success were 4.9 years (95% CI 3.5; 6.2) and 5.6 years (95% CI 5.0; 6.3) for fissure sealants and composite restorations, respectively. The mean COHIP-19 score was 64.3 ± 8.2 (max. possible score = 76). A higher severity of MIH-TNI correlated significantly with impaired OHRQoL (rs = − 0.38, p = 0.013). However, this was not mirrored in multiple regression analysis. Despite the high rate of restorative treatment with an acceptable failure rate, OHRQoL is reduced in children with MIH. Many teeth affected by MIH remain sensitive. Further studies are needed to assess the benefits of different restorative options.
The status of binocular visual functions among Taiwan high-tech industry engineers and its correlation with computer vision symptom
Authors: Tsai Lung-Hui , Chen Bo-Yu , Su Kuo-Chen , Cheng Ching-Ying
Published: January 2024

To analyze the status of binocular visual functions, the relationship between binocular visual function and computer vision-related symptoms in the high-tech industry group. The study sample was comprised of 33 participants aged between 20 and 40 years of age. After completing basic information and the Computer Vision Symptom Scale (CVSS-17) questionnaire, the participants underwent a comprehensive examination of binocular visual function. All data were statistically analyzed with SPSS V26.0 software. The value of the binocular vision function of the Taiwan high-tech industry group was significantly different compared with the Scheiman and Morgan standard value. Study subjects were generally found to exhibit larger exophoric at distance, which in turn might lead to a lower ability to maintain binocular fusion to a single image, or recover from fusional disruption at distance. Subjects also experienced accommodation and convergence problems at near at the same time. Age, gender, and refractive errors had no significant impact on CVSS-17 scores, only the duration of computer usage showed a significant effect, particularly for internal symptom factor (ISF) dimensions. In addition, the interaction between the ISF and external symptom factor resulted in more severe visual symptoms. Long-term use of electronic devices may lead to an imbalance in binocular vision function, thereby increasing or exacerbating visual symptoms. If the use of electronic devices is an unchangeable trend, interventions in prescription, visual training or the visual design of electronic products become worthwhile topics for development.
Immunophenotyping of hemocytes from infected Galleria mellonella larvae as an innovative tool for immune profiling, infection studies and drug screening
Authors: Gallorini Marialucia , Marinacci Beatrice , Pellegrini Benedetta , Cataldi Amelia , Dindo Maria Luisa , Carradori Simone , Grande Rossella
Published: January 2024

In recent years, there has been a considerable increasing interest in the use of the greater wax moth Galleria mellonella as an animal model. In vivo pharmacological tests, concerning the efficacy and the toxicity of novel compounds are typically performed in mammalian models. However, the use of the latter is costly, laborious and requires ethical approval. In this context, G. mellonella larvae can be considered a valid option due to their greater ease of use and the absence of ethical rules. Furthermore, it has been demonstrated that the immune system of these invertebrates has similarity with the one of mammals, thus guaranteeing the reliability of this in vivo model, mainly in the microbiological field. To better develop the full potential of this model, we present a novel approach to characterize the hemocyte population from G. mellonella larvae and to highlight the immuno modulation upon infection and treatments. Our approach is based on the detection in isolated hemocytes from G. mellonella hemolymph of cell membrane markers typically expressed by human immune cells upon inflammation and infection, for instance CD14, CD44, CD80, CD163 and CD200. This method highlights the analogies between G. mellonella larvae and humans. Furthermore, we provide an innovative tool to perform pre-clinical evaluations of the efficacy of antimicrobial compounds in vivo to further proceed with clinical trials and support drug discovery campaigns.
Autonomous localized path planning algorithm for UAVs based on TD3 strategy
Authors: Feiyu Zhao , Dayan Li , Zhengxu Wang , Jianlin Mao , Niya Wang
Published: January 2024

Unmanned Aerial Vehicles are useful tools for many applications. However, autonomous path planning for Unmanned Aerial Vehicles in unfamiliar environments is a challenging problem when facing a series of problems such as poor consistency, high influence by the native controller of the Unmanned Aerial Vehicles. In this paper, we investigate reinforcement learning-based autonomous local path planning methods for Unmanned Aerial Vehicles with high autonomous decision-making capability and locally high portability. We propose an autonomous local path planning algorithm based on the TD3 strategy to solve the problem of local obstacle avoidance and path planning in unfamiliar environments using autonomous decision-making of Unmanned Aerial Vehicles. The simulation results on Gazebo show that our method can effectively realize the autonomous local path planning task for Unmanned Aerial Vehicles, the success rate of path planning with our method can reach 93% under the interference of no obstacles, and 92% in the environment with obstacles. Finally, our method can be used for autonomous path planning of Unmanned Aerial Vehicles in unfamiliar environments.
Adenoma location, size, and morphology are risk factors for FOBT false-negative results in inpatients with advanced colorectal adenoma
Authors: Cao Xu , Meng Ping , Liu Yong , Li Xiaofang , Shi Xiaoyang , Sun Xiaoxing , Zhang Tianpeng , Wang Jinfeng , Jiao Hao , Wang Huijie , Zheng Huanwei
Published: January 2024

Recently, advanced adenoma (AA) has been recognized as a target for colorectal cancer (CRC) screening. However, the fecal occult blood test (FOBT), the primary non-invasive screening method, shows limited sensitivity in detecting AA. This study investigates the relationship between adenoma characteristics and FOBT false-negative results. In a retrospective cohort study conducted from 2015 to 2022, we examined 342 inpatients with AA who underwent colonoscopy and received qualitative FOBT. FOBT sensitivity was analyzed about various adenoma characteristics, and logistic regression models were employed to investigate the relationship between adenoma features and FOBT false-negative outcomes. FOBT sensitivity in AA inpatients was 52.63%. Significant differences in sensitivity were observed based on adenoma location (left vs. right), morphology (with or without pedunculation), and size (≤ 10 mm vs. > 10 mm). After adjusting for several potential confounders, FOBT showed a reduced false-negative rate in AA with large-sized (OR, 0.49; 95% CI 0.31–0.77), left-sided location (OR, 0.53; 95% CI 0.31–0.89), and pedunculated morphology (OR, 0.73; 95% CI 0.43–1.24). AA with large size, left-sided location, and pedunculated morphology independently contribute to a decreased rate of FOBT false-negative results. However, these adenoma characteristics are not actively modifiable. Therefore, novel non-invasive methods are needed to improve AA detection accuracy.
Multi-level deep Q-networks for Bitcoin trading strategies
Authors: Otabek Sattarov , Choi Jaeyoung
Published: January 2024

The Bitcoin market has experienced unprecedented growth, attracting financial traders seeking to capitalize on its potential. As the most widely recognized digital currency, Bitcoin holds a crucial position in the global financial landscape, shaping the overall cryptocurrency ecosystem and driving innovation in financial technology. Despite the use of technical analysis and machine learning, devising successful Bitcoin trading strategies remains a challenge. Recently, deep reinforcement learning algorithms have shown promise in tackling complex problems, including profitable trading strategy development. However, existing studies have not adequately addressed the simultaneous consideration of three critical factors: gaining high profits, lowering the level of risk, and maintaining a high number of active trades. In this study, we propose a multi-level deep Q-network (M-DQN) that leverages historical Bitcoin price data and Twitter sentiment analysis. In addition, an innovative preprocessing pipeline is introduced to extract valuable insights from the data, which are then input into the M-DQN model. A novel reward function is further developed to encourage the M-DQN model to focus on these three factors, thereby filling the gap left by previous studies. By integrating the proposed preprocessing technique with the novel reward function and DQN, we aim to optimize trading decisions in the Bitcoin market. In the experiments, this integration led to a noteworthy 29.93% increase in investment value from the initial amount and a Sharpe Ratio in excess of 2.7 in measuring risk-adjusted return. This performance significantly surpasses that of the state-of-the-art studies aiming to develop an efficient Bitcoin trading strategy. Therefore, the proposed method makes a valuable contribution to the field of Bitcoin trading and financial technology.
Electrical tuning of quantum light emitters in hBN for free space and telecom optical bands
Authors: Dhu-al Shaik Akbar Basha , Palla Penchalaiah , Jenkins David
Published: January 2024

Quantum light emitters (also known as single photon emitters) are known to be the heart of quantum information technologies. Irrespective of possessing ideal single photon emitter properties, quantum emitters in 2-D hBN defect structures, exhibit constrained quantum light emission within the 300–700 nm range. However, this emission range cannot fully satisfy the needs of an efficient quantum communication applications such as quantum key distribution (QKD), which demands the quantum light emission in fiber optic telecom wavelength bands (from 1260 to 1625 nm) and the free space optical (FSO) (UV-C-solar blind band—100 to 280 nm) wavelength ranges. Hence, there is a necessity to tune the quantum light emission into these two bands. However, the most promising technique to tune the quantum light emitters in hBN here, is still a matter of debate and till date there is no experimental and theoretical assurances. Hence, this work will focus on one of the most promising simple techniques known as Stark electrical tuning of the quantum light emission of hBN defect structures (NBVN, VB, CB, CBVN, CBCN, CBCNCBCN complex, and VBO2). These hBN defects are designed and sandwiched as metal/graphene/hBN defect structure/graphene/metal heterostructure and electrically tuned towards FSO and fiber optic bands (tuning range from UV-C to O-band IR region) region, using constrained DFT computations. The external electric field predicted to yield an atomic bond angle tilt associated with this point defect structure creates out-of-plane dipole moments, enabling the tuning of quantum emission. This electrical tuning technique leads to a simple passive photonic component which enables easier compatibility with quantum circuits and it is found to be one of the perfect alternative solutions, which does not require much external hardware setup to implement as compared to earlier published strain induced tuning experiments.
Noninvasive imaging of 4D electrical activation patterns of uterine peristalsis during normal menstrual cycles
Authors: Wang Sicheng , Anderson Kelsey , Pizzella Stephanie , Xu Haonan , Wang Wenshang , Wen Zichao , Nan Yuan , Lau Josephine , Wang Qing , Ratts Valerie , Wang Yong
Published: January 2024

Uterine peristalsis, characterized by spontaneous slow-wave contractions of the subendometrial layer of the uterine myometrium, occurs throughout the menstrual cycle. Disruptions in peristalsis patterns may occur in women experiencing abnormal uterine bleeding, endometriosis, and infertility. Current tools to measure uterine peristalsis in humans have limitations that hamper their research or clinical utility. Here, we developed an electrophysiological imaging system with wearable electrical sensors to noninvasively quantify the four-dimensional electrical activation pattern during human uterine peristalsis with high spatial and temporal resolution and coverage. To demonstrate capabilities of this new imaging system, we enrolled 26 pre-menopausal participants ages 18–40 years old with regular menstrual cycles (25–34 days in length) and normal gynecologic anatomy. Participants initially underwent magnetic resonance imaging to obtain the body-uterus geometry. Then, during each of the four phases of a single menstrual cycle, patients underwent noninvasive electrical recording for 30 min. We measured uterine peristalsis frequency, direction, duration, magnitude, and power and found that these parameters differed in different phases of the menstrual cycle. Future use of this uterine peristalsis imaging system may advance our understanding of the role of uterine peristalsis in maintaining normal uterine function and contributing to gynecological pathophysiology.
Injectable, shear-thinning, photocrosslinkable, and tissue-adhesive hydrogels composed of diazirine-modified hyaluronan and dendritic polyethyleneimine
Authors: Chandel Arvind K. Singh , Sreedevi Madhavikutty Athira , Okada Saki , Qiming Zhang , Inagaki Natsuko F. , Ohta Seiichi , Ito Taichi
Published: January 2024

In the present study, we report the first synthesis of diazirine-modified hyaluronic acid (HA–DAZ).
Microgels for bioprinting: recent advancements and challenges
Authors: Xie Mingjun , Wang Ji , Wu Sufan , Yan Sheng , He Yong
Published: January 2024

This review introduces different methods used to generate microgels and the microgel-based bioink for bioprinting. Besides, the further tendency of microgel development in future is predicted.
Stability of Ti3C2Tx MXenes in engineered environments
Authors: Ganji Nasim , Reardon-Lochbaum Christian A. , Ambade Swapnil B. , Anastasia Caroline M. , Eckhert Patrick M. , Rosenzweig Zeev , Pedersen Joel A. , Fairbrother D. Howard
Published: January 2024

MXenes are a newer class of 2D materials with desirable properties, making them attractive for various environmental applications, including remediation and as membranes for water treatment.
Reactions of hypobromous acid with dimethyl selenide, dimethyl diselenide and other organic selenium compounds: kinetics and product formation
Authors: Müller Emanuel , von Gunten Urs , Tolu Julie , Bouchet Sylvain , Winkel Lenny H. E.
Published: January 2024

We studied reactions between a variety of organic forms of the essential element selenium (Se) and the oxidant hypobromous acid (HOBr). The studied Se compounds, especially selenomethionine, had a high reactivity with HOBr.
Correction: Membrane degassing with the combination of sweep gas and vacuum pressure for ammonia removal
Authors: Yoon Hongsik , Lee Jiho , Lee Gunhee , Shin Wanho , Min Taijin
Published: January 2024

Correction for ‘Membrane degassing with the combination of sweep gas and vacuum pressure for ammonia removal’ by Hongsik Yoon et al., Environ. Sci.: Water Res. Technol., 2023, 9, 467–473, https://doi.org/10.1039/D2EW00822J.
Defect-rich UiO-66@g-C3N4/Ni frameworks as efficient water splitting photocatalysts
Authors: Jamma Aparna , Jaksani Bhavya , Vennapoosa Chandra Shobha , Gonuguntla Spandana , Sk Saddam , Ahmadipour Mohsen , Abraham B. Moses , Mondal Indranil , Pal Ujjwal
Published: January 2024

In this report, we uncover the synergistic role of g-C3N4, a cocatalyst (Ni), and defect sites of Zr-MOFs for unprecedented hydrogen evolution activity.
Design and synthesis of nano-biomaterials based on graphene and local delivery of cerebrolysin into the injured spinal cord of mice, promising neural restoration
Authors: Yari-Ilkhchi Ayda , Mahkam Mehrdad , Ebrahimi-Kalan Abbas , Zangbar Hamid Soltani
Published: January 2024

The preparation and application of injectable graphene oxide derivatives to the T10 segment of the SCI mouse model, coupled with the localized delivery of CRL into the lesion site, demonstrated a more profound impact on nerve regeneration.
Advancing piezoelectric 2D nanomaterials for applications in drug delivery systems and therapeutic approaches
Authors: Li Anshuo , Yang Jiawei , He Yuchu , Wen Jin , Jiang Xinquan
Published: January 2024

New evidence for piezoelectric nanomaterials across energy harvesting, piezocatalysis, and biomedicine fields, guiding and supporting future drug delivery system development.
Synthesis of triphenylamine-based nanoporous organic polymers for highly efficient capture of SO2 and CO2
Authors: Yan Jun , Tan Yan , Tong Sihan , Zhu JiangLi , Wang Zefeng
Published: January 2024

Two triphenylamine-based nanoporous organic polymers were synthesized through the self-condensation of AB2 monomers. These polymers exhibit promising potential for capturing toxic gases and contaminants due to their highly effective uptake of SO2.
Polar comonomers regulate and control the copolymerization of conjugated dienes and methoxystyrenes catalyzed by a CGC-type rare-earth metal catalyst
Authors: Fu Zhijie , Song Chuang , Qi Yuanxia , Pei Jingting , Zhu Xuanren , Zhao Yanan , Luo Yi , Li Xiaofang
Published: January 2024

A new strategy utilizing the continuous coordination of heteroatoms of polar comonomers realized the regulation and controllability of the regioselectivity, Mn, Mw/Mn and living nature of the copolymerization of polar olefins and conjugated dienes.
Iron oxide/graphene oxide nanocomposite synthesis using atmospheric cold plasma
Authors: Bjelajac Andjelika , Phillipe Adrian-Marie , Guillot Jérôme , Chemin Jean-Baptiste , Choquet Patrick , Bulou Simon
Published: January 2024

Atmospheric pressure cold DBD plasma for simultaneous synthesis of FeOx nanoparticles and their partial graphenic encapsulation using ethanol as carbon source.
Elucidation of sex from mature Palmer amaranth (Amaranthus palmeri) leaves using a portable Raman spectrometer
Authors: Holman Aidan P. , Goff Nicolas K. , Juárez Isaac D. , Higgins Samantha , Rodriguez Axell , Bagavathiannan Muthukumar , Kurouski Dmitry , Subramanian Nithya
Published: January 2024

Palmer amaranth (Amaranthus palmeri) is a pervasive and troublesome weed species that poses significant challenges to agriculture in the United States.
Tuning phosphorene and MoS2 2D materials for detecting volatile organic compounds associated with respiratory diseases
Authors: Allosh Alaa , Pantis-Simut Calin-Andrei , Filipoiu Nicolae , Preda Amanda Teodora , Necula George , Ghitiu Ioan , Anghel Dragos-Victor , Dulea Mihnea Alexandru , Nemnes George Alexandru
Published: January 2024

The multi-channel device using phosphorene and MoS2 as active layers identifies specific biomarkers associated with respiratory diseases. It relies on matching a conductance pattern of an unknown specimen to the reference ones, calculated by DFT.
Correction: A theoretical study on the on–off phosphorescence of novel Pt(ii)/Pt(iv)–bisphenylpyridinylmethane complexes
Authors: Zhu Guoxun , Chen Zhenping , Song Huacan , You Ao , Li Zhengquan
Published: January 2024

Correction for ‘A theoretical study on the on–off phosphorescence of novel Pt(ii)/Pt(iv)–bisphenylpyridinylmethane complexes’ by Guoxun Zhu et al., RSC Adv., 2022, 12, 18238–18244, https://doi.org/10.1039/D2RA03060H
Understanding the effects of forced and bubble-induced convection in transport-limited organic electrosynthesis
Authors: Bloomquist Casey K. , Dogan Melisa , Harris James S. , Herzog Benjamin D. , Tenn III William J. , Aydil Eray S. , Modestino Miguel A.
Published: January 2024

Insights from data-driven surrogate models reveal that the Sherwood number characterizes mass transport conditions independent of the convection method, offering design guidelines for scaling up organic electrosynthesis.
Enantioselective nickel-catalyzed Mizoroki–Heck cyclizations of amide electrophiles
Authors: Bulger Ana S. , Nasrallah Daniel J. , Tena Meza Arismel , Garg Neil K.
Published: January 2024

The first asymmetric amide cross-couplings that rely on C–N bond activation using transition metal catalysis are reported. The study establishes a new avenue in amide C–N bond activation chemistry.
Electronic configuration regulation of single-atomic Mn sites mediated by Mo/Mn clusters for an efficient hydrogen evolution reaction
Authors: Zhang Chengyu , Wang Xiangyang , Zhao Renyuan , Ndayisenga Fabrice , Yu Zhisheng
Published: January 2024

Tuning the electron distribution of metal single-atom active sites via bimetallic clusters is an effective way to enhance their hydrogen evolution reaction (HER) activity.
Leveraging metal node-linker self-assembly to access functional anisotropy of zirconium-based MOF-on-MOF epitaxial heterostructure thin films
Authors: Panda Suvendu , Kundu Susmita , Malik Pratibha , Haldar Ritesh
Published: January 2024

Zirconium-based MOF-on-MOF functional heterostructures achieved by self-assembly of metal node and linker at room temperature.
Steam reforming of methane by titanium oxide photocatalysts with hollow spheres
Authors: Yamaguchi Akira , Kujirai Tomoki , Fujita Takeshi , Abe Hideki , Miyauchi Masahiro
Published: January 2024

TiO2photocatalysts with a hollow sphere structure were synthesized and loaded with spatially separated co-catalysts to improve SRM efficiency.
Lifespan prediction of Li-ion batteries in electrical vehicles by applying coulombic efficiency: from anode material to battery cell to vehicle application
Authors: Liu Xianjun , Li Yanfei , Jiang Xiaohua , Xu Kw
Published: January 2024

The evolution of CE in each cycle follows a time-variable logarithmic function closely related to the cycle number, which can be used for predicting the lifespan of LIBs.
A low-shrinkage-stress and anti-bacterial adherent dental resin composite: physicochemical properties and biocompatibility
Authors: He Xinlin , Zhang Shengcan , Zhong Yewen , Huang Xiangya , Liu Fang , He Jingwei , Mai Sui
Published: January 2024

The fluorinated methacrylate-thiol–ene ternary resin composite had low shrinkage stress and excellent anti-bacterial adhesion effect with low surface free energy to reduce secondary caries, which can be potentially applied in clinical practice.
Intelligent responsive copper-diethyldithiocarbamate-based multifunctional nanomedicine for photothermal-augmented synergistic cancer therapy
Authors: Meng Xiangyu , Wu Jiayi , Hu Zunfu , Zheng Xiuwen
Published: January 2024

The design of multifunctional nanomedicine through the combination of multimodal treatments to achieve the optimal antitumor effect is essential for cancer therapy.
Acceptor modification of diindolocarbazole embedded multiple-resonance emitters for efficient narrowband deep-blue OLEDs with CIEy ≤ 0.08 and alleviated efficiency roll-off
Authors: Wang Shuxin , Zhou Jianping , Jin Jibiao , Mai Minqiang , Tsang Chui-Shan , Lee Lawrence Yoon Suk , Duan Lian , Wong Wai-Yeung
Published: January 2024

We designed and synthesized two efficient narrowband deep-blue emitters, pICz-PPO and pICz-2PPO, via an acceptor modification strategy to optimize the charge carrier mobility and thus addressed the efficiency roll-off issue.
Asymmetric multiple resonance thermally activated delayed fluorescence emitters for sky-blue and pure blue electroluminescence
Authors: Ni Hua-Xiu , Luo Xu-Feng , Yuan Li , Hu Jia-Jun , Zhang Wen-Wei , Zheng You-Xuan
Published: January 2024

Two asymmetric MR-TADF materials, Cz-SCz and BCz-SCz, exhibit sky-blue and pure blue emission with small FWHMs of 28 and 24 nm, respectively. OLEDs display EQEmax values of up to 20.5%, and that with BCz-SCz achieves pure blue emission with a CIEy coordinate below 0.15.
Retraction: Enantioselective synthesis of α-tetrasubstituted (3-indolizinyl) (diaryl)methanamines via chiral phosphoric acid catalysis
Authors: Zhong Jialing , Pan Rihuang , Lin Xufeng
Published: January 2024

Retraction of ‘Enantioselective synthesis of α-tetrasubstituted (3-indolizinyl) (diaryl)methanamines via chiral phosphoric acid catalysis’ by Jialing Zhong et al., RSC Adv., 2022, 12, 20499–20506, https://doi.org/10.1039/D2RA03750E.
A novel NAM‐based image segmentation using hierarchical density‐based spatial clustering
Authors: Zheng Yunping , Wen Dilong , Sarem Mudar
Published: January 2024

This paper proposes a new method for hierarchical image segmentation based on the nonsymetry and anti‐packing pattern representation model (NAM) and the hierarchical density‐based spatial clustering of application with noise (HDBSCAN). The proposed framework consists of two phases. In the first phase, a super‐pixel generation algorithm base on NAM is proposed. In the second phase, instead of defining an affinity matrix to merge similar regions using spatial clustering, the distance matrix defined by different region features is directly fitted into an HDBSCAN clustering module in order to merge similar regions efficiently. Similar adjacent regions can be merged into larger ones progressively and form a segmentation dendrogram for image segmentation with the clustering module. The experiments show that the proposed algorithm has a comparable or even better performance compared to the state‐of‐the‐art hierarchical image segmentation algorithms while having much less time and memory consumption.
Sea Wave Energy Simulation of Oscillating Water Column (OWC) Technology, Binongko Island, Wakatobi, Southeast Sulawesi
Authors: Mu’min Al , Gunadin Indar Chaerah , Muslimin Zaenab
Published: January 2024

Indonesia is a country that has the largest sea area of several countries spread across the world. This is an advantage for Indonesia in utilizing the energy potential of the seas and oceans. One of which is the potential of Oscillating Water Column (OWC) Technology, to utilize the energy potential of the seas and oceans not only requires sea potential but also must have location parameters with suitable seabed topography. gentle and constant sea wave height, usually influenced by wind speed. One area of Indonesia that has these parameters is Binongko Island, Wakatobi, Southeast Sulawesi, whose wave characteristics are a basic reference for exploring the enormous energy potential of the seas and oceans in that location. The author uses a simulation model with the Graphical User Interface (GUI) method in the Matlab program to determine the potential energy produced. The data used in this research uses data analysis from the Southeast Sulawesi Regional Meteorology, Climatology, and Geophysics Agency using data samples for 2021 and 2022. The data used includes sea wave height data and sea wave period data at the research location in 2021 and the 2022 time period. Through this data, it is known that Binongko Island, Wakatobi, Southeast Sulawesi 2021 will have minimum sea wave height. of 0.5125 meters and a maximum value of 1.04167 meters, for the minimum sea wave period of 2.34993 seconds and a maximum value of 3.57008 seconds, while in 2022 the minimum sea wave height will be 0.341667 meters and the maximum value will be 0.895833 meters, for a minimum sea wave period of 1.91045 and a maximum value of 3.30481 seconds. With this data, Binongko Island, Wakatobi, Southeast Sulawesi in 2021 will be able to produce a minimum of 20.8844 watts and a maximum of 75.7116 watts, while in 2022 it will be able to produce a minimum of 12.7715 watts and a maximum of 43.5652 watts.