bluuebunny/crossref_metadata_2025_split huggingface dataset:
Carbapenem resistant Enterobacteriaceae in the livestock, humans and environmental samples around the globe: A systematic review and meta-analysis
Authors: Tuhamize Barbra , Bazira Joel 
Published: January 2024

Abstract

Introduction and objectives:
Carbapenem-resistant Enterobacteriaceae (CRE) have diminished treatment options causing serious morbidities and mortalities. This systematic review and meta-analysis assessed the prevalence and associated factors of Enterobacteriaceae infections in clinical, livestock and environmental settings globally.
Data sources:
The population intervention comparison and outcome (PICO) strategy was used to enroll studies using the Preferred Reporting System for Systematic Review and Meta-analysis (PRISMA) to include only cross-sectional studies. Search engines included journal author name estimator (JANE), PubMed, Google scholar, African Journals Online (AJOL), World cat, Green version, CrossRef and snow balling of retrieved articles. The Newcastle-Ottawa Scale (NOS) was used to assess the quality of studies.
Results
Sixteen articles from 2013 to 2023 in Africa, Asia, Europe and South America were studied. The pooled prevalence of CRE was 43.06% (95% CI, 21.57 to 66.03). Klebsiella pneumoniae (49.40%), Escherichia coli (26.42%), and Enterobacter cloacae (14.24%) were predominat. Klebsiella pneumoniae had the highest resistance with the blaKPC-2 in addition to blaNDM, blaOXA-48, blaIM and blaVIM. The blaKPC-2 genes occurence were associated with environmental (p. Value < 0.0001) and South American studies (p. Value < 0.0001), but there was no difference in the trends over time (p. Value = 0.745).
Conclusion
This study highlights the high rates of CRE infections, particularly within Klebsiella pneumoniae, especially the blaKPC production. Monitoring and surveillance programs, research and infection control measures should consider be strengthened. Additionally, further studies are needed to explore the mechanisms driving the predominance of specific bacterial species and the distribution of resistance genes within this bacterial family.
Effect of cervical Bishop score on induction of labor at term in primiparas using Foley catheter balloon: a retrospective study
Authors: Li Shu-Fen , Feng Chuan-Shou , Ju Hui-Hui 
Published: January 2024

Abstract
Background
Recent studies had found that the mechanical methods were as effective as pharmacological methods in achieving vaginal delivery. However, whether balloon catheter induction is suitable for women with severe cervical immaturity and whether it will increase the related risks still need to be further explored.
Research aim
: To evaluate the efficacy and safety of Foley catheter balloon for labor induction at term in primiparas with different cervical scores.
Methods
A total of 688 primiparas who received cervical ripening with a Foley catheter balloon were recruited in this study. They were divided into 2 groups: Group 1 (Bishop score ≤ 3) and Group 2 (3 < Bishop score < 7). Detailed medical data before and after using of balloon were faithfully recorded.
Results
The cervical Bishop scores of the two groups after catheter placement were all significantly higher than those before (Group 1: 5.49 ± 1.31 VS 2.83 ± 0.39, P<0.05; Group 2: 6.09 ± 1.00 VS 4.45 ± 0.59, P<0.05). The success rate of labor induction in group 2 was higher than that in group 1 (P<0.05). The incidence of intrauterine infection in Group 1 was higher than that in Group 2 (18.3% VS 11.3%, P<0.05).
Conclusion
The success rates of induction of labor by Foley catheter balloon were different in primiparas with different cervical conditions, the failure rate of induction of labor and the incidence of intrauterine infection were higher in primiparas with severe cervical immaturity.
Bioreversible anionic cloaking enables intracellular protein delivery with ionizable lipid nanoparticles
Authors: Alabi Christopher , Alamgir Azmain , Ghosal Souvik , DeLisa Matthew 
Published: January 2024

Abstract
Protein-based therapeutics comprise a rapidly growing subset of pharmaceuticals, but enabling their delivery into cells for intracellular applications has been a longstanding challenge. To overcome the delivery barrier, we explored a reversible, bioconjugation-based approach to modify the surface charge of protein cargos with an anionic “cloak” to facilitate electrostatic complexation and delivery with lipid nanoparticle (LNP) formulations. We demonstrate that the conjugation of lysine-reactive sulfonated compounds can allow for the delivery of various protein cargos using FDA-approved LNP formulations of the ionizable cationic lipid DLin-MC3-DMA (MC3). We apply this strategy to functionally deliver RNase A for cancer cell killing as well as a full-length antibody to inhibit oncogenic β-catenin signaling. Further, we show that LNPs encapsulating cloaked fluorescent proteins distribute to major organs in mice following systemic administration. Overall, our results point towards a generalizable platform that can be employed for intracellular delivery of a wide range of protein cargos.
Integration of Sequential Electrocoagulation and Adsorption for Effective Removal of Color and Total Organic Carbon in Textile Effluents and its Utilization for Seed Germination and Irrigation
Authors: Somasundaram Gowthaman , Thavamani Tamizharasan , Thangavelu Selvaraju 
Published: January 2024

Abstract
This study investigated the performance of the sequential electrocoagulation process (ECP) combined with the adsorption phenomena (AP) by powdered activated carbon (PAC) is a highly effective and environmentally friendly method of treating textile effluents. The discharge of textile effluent into any stream would affect the growth of living organisms and the environment due to its increased colour and total organic carbon (TOC). This scientific work ease out the removal of toxic textile industry effluents such as high concentrations of colour and TOC by using the synthesized CaCl2–powdered activated carbon (PAC) derived from coconut shells combined with ECP (ECP–PAC). Initially, PAC was characterized by FE-SEM, XRD, Raman, BET, FTIR, and TGA studies. Subsequently, the pilot scale ECP batch reactor was designed and constructed with iron (Fe) as an anode and copper (Cu) as a cathode combined with the PAC adsorption process (5g/L of PAC and 30 min). Importantly, the combination of ECP–PAC has achieved a higher degree of treatment efficiency in shorter reaction time with lower energy consumption as compared to the ECP. i.e., 15 min duration was required to degrade 98% of the colour content of industrial textile effluent, and 30 min duration was required to reduce the higher concentration of TOC level of 96%. Moreover, the other parameters in the ECP or ECP–PAC such as pH (6-9), current density (0-50 mA/cm2), time (0-30 min), electrode combinations (Fe-Cu), and so on were optimized. Finally, to understand the physicochemical properties of the treated water, seed germination of mung bean and chlorophyll content tests were convincingly carried out. Accordingly, tests on the seed germination of mung beans and chlorophyll contents tests have revealed that the ECP–PAC treated water is appropriate for irrigation. Thus, the methodology of treating textile effluent could have been an effective strategy for decreasing freshwater consumption in agricultural areas and increasing water availability in areas of water shortages.
Unveiling the Impact of Microglial Cells in Alzheimer's Disease Pathogenesis: Insights from Single-Cell RNA-seq Analysis and In Vivo Validation
Authors: Sanadgol Nima , Feriz Adib Miraki , Ravanjoo Laya , Haddadi Mohammad , Beyer Cordian , Zendedel Adib , Safarpour Hossein 
Published: January 2024

Abstract
Alzheimer's disease (AD), a prevalent global cause of dementia lacking a cure, has traditionally been studied from a molecular perspective. However, our investigation delved into the intricate cellular dimensions of AD, focusing on microglial cells, the primary immune cells in the central nervous system (CNS). Through a single-cell approach using scRNA-seq, we revealed an increased presence of microglial cells in AD samples. Utilizing this advanced technology, we unveiled the biological pathways, cellular interactions, and key genes driving AD progression. Notably, our findings emphasized the elevated activation of TNF-α signaling via NF-κB, P53, allograft rejection, coagulation, and hypoxia pathways in AD microglia. At the same time, the responsiveness to IFN-γ and IFN-α was diminished, and in alignment with scRNA-seq outcomes, gene expression analysis in a fly model indicated heightened Sima gene (HIF1A) expression in AD microglia. Furthermore, our study pinpointed significant ligand-receptor interactions in the microenvironment, notably including PTN/RPTPβ/ζ, a neurotrophic factor modulating neuroinflammation, and SEMA3A/PLXNB3. Additionally, we identified pivotal genes influencing AD pathogenesis and proposed potential treatments through drug repositioning, encompassing paclitaxel, carboplatin, cisplatin, imatinib, and fluorouracil. These findings provide insightful perspectives into AD pathophysiology at the cellular level and suggest promising avenues for further investigation and potential therapeutic interventions. More experimental validation is indispensable to corroborate these intricate molecular pathways.
A liquid-phase-synthesized cathode composite with a three-dimensional ion/electron-conducting structure for all-solid-state lithium–sulfur batteries
Authors: Hirayama Masaaki , Jiang Peilu , Zhou Huangkai , Song Subin , Suzuki Kota , Watanabe Kenta , Yamaguchi Yumi , Matsui Naoki , Hori Satoshi , Kanno Ryoji 
Published: January 2024

Abstract

All-solid-state lithium–sulfur batteries (ASSLSBs) exhibit high energy densities, operate safely, and suppress polysulfide shuttling. However, their electrochemical performance is restricted by the insulating nature of S and Li2S and the severe cathode-related volumetric change during cycling. Herein, we report a Li2S-based cathode composite (AM/CR10/SE-liq/VGCF, or ACSV) with high mixed-conductivity and stability, fabricated by infiltrating a Li2S–LiI active material (AM) solution to a mesoporous carbon replica with ~ 10-nm-sized pores (CR10), followed by mixing the AM–CR10 composite with a liquid-phase-synthesized Li6PS5Br solid electrolyte (SE-liq) and vapour-grown carbon fibres (VGCFs). Benefiting from its mechanically reinforced, three-dimensional ion/electron-conducting structure, the ACSV-based ASSLSB cathode exhibits high discharge capacity (1009 mAh g− 1, 20 cycles, 298 K, 0.05C; 86.6% of the theoretical capacity of Li2S) and high reversible capacity (650 mAh g− 1, 100 cycles, 298 K, 0.1C). The findings underscore the feasibility of developing high-performance ASSLSBs by designing three-dimensional mixed-conducting mechanically robust cathodes.
A nanofluidic chemoelectrical generator with enhanced energy harvesting by ion-electron Coulomb drag
Authors: Xiao Kai , Jiang Yisha , Wang Tao , Liu Wenchao , Wu Yitian , Mei Tingting , Wang Li , Xu Guoheng , Liu Nannan , Wang Yude 
Published: January 2024

Abstract

A sufficiently high current output of nano energy harvesting devices is highly desired in practical applications, while still a challenge. Theoretical evidence has demonstrated that Coulomb drag based on the ion-electron coupling interaction, can amplify current in nanofluidic energy generation systems, resulting in enhanced energy harvesting. However, experimental validation of this concept is still lacking. Here we develop a nanofluidic chemoelectrical generator (NCEG) consisting of a carbon nanotube membrane (CNTM) sandwiched between metal electrodes, in which spontaneous redox reactions between the metal and oxygen in electrolyte solution enable movement of ions within the carbon nanotubes. Through Coulomb drag effect between moving ions in these nanotubes and electrons within the CNTM, an amplificated current of 1.2 mA·cm-2 is generated, which is 15.6 times higher than that collected without a CNTM. Meanwhile, one single NCEG unit can produce a high voltage of ~0.8 V and exhibit a linear scalable performance up to tens of volts. Different from the other Coulomb drag systems that need additional energy input, the NCEG with enhanced energy harvesting realizes the ion-electron coupling by its own redox reactions potential, which provides a possibility to drive multiple electronic devices for practical application.
Acute stress-related aberrant prefrontal based functional connectivity in high ruminators: An fNIRS study
Authors: Peng Lanxin , Long Jixin , Li Qian , Niu Lijing , Dai Haowei , Zhang Jiayuan , Chen Keyin , Huang Meiyan , Zhang Ruibin 
Published: January 2024

Abstract

Background
Rumination, thought to be induced by stressful events, is a pivotal factor contributing to cognitive vulnerabilities in stress-related disorders. Previous studies have demonstrated an association between the prefrontal cortex and stress. However, the functional connectivity in the prefrontal of high ruminators during stress is not fully understood.
Methods
28 high trait rumination group (HTR) and 22 low trait rumination group (LTR) were recruited. Each participant underwent both the Trier Social Stress Test (TSST) and control task in a long-arm crossover design, while collecting functional near-infrared spectroscopy data. We analyzed the static and dynamic FC (DFC) under two different conditions and then compared the difference between the HTR and the LTR.
Results
Stress induction procedure was highly successful in both HTR and LTR. Analysis on static FC (SFC) showed that LTR exhibited a marked increase in SFC during the TSST, while HTR showed a comparatively lesser increase. Further analysis on DFC, the prefrontal-based DFCs were higher in LTR during TSST compared with control condition, but these patterns were not in HTR. But higher variability of DFC between left IFG and left MFG related to higher state rumination.
Conclusion
Current study may shed light on the aberrant prefrontal functional connectivity pattern underlying rumination and its association with stress. Further research in this area may elucidate the specific cognitive control mechanisms that are impaired in high ruminators and their impact on emotional regulation and psychological well-being.
Robot motion planning using Predictive trajectory of moving obstacles
Authors: Rezvani Melika , Semnani Samaneh Hosseini 
Published: January 2024

Abstract
The presence of robots among humans and their ability to perform certain tasks has exhibited remarkable growth in recent years. As a result, there is an essential need for powerful path planning algorithms to find feasible, safe, and collision-free paths for robots in the presence of humans, considering other factors and the environment. This paper presents an algorithm for the motion planning of an agent (robot) among pedestrians based on future decisions. In each step, the robot selects its next velocity and subsequently its next position by predicting the movements of neighboring pedestrians. Based on the predicted future positions of pedestrians , a force is applied to the agent to determine its next velocity and position. Experimental results demonstrate the improvement of the proposed method in terms of the time optimality and safety (reducing number of collisions among robot and pedestrians) of the produced path compared to the scenario where prediction is not utilized.
Green Dangers: Probability of Human Health Risk from Heavy Metals in Vegetables of Bangladesh
Authors: Chowdhury Akibul Islam , Shill Lincon Chandra , Raihan M Maruf , Rashid Rumana , Buiyan Md. Nizamul Hoque , Reza Sompa , Alam Mohammad Rahanur 
Published: January 2024

Abstract
This study aims to evaluate the heavy metal concentration in fifteen species of vegetables as well as associated health risk. Atomic absorption spectrometry (AAS) is used to assess heavy metals. The mean concentrations of Pb, Cd, Cr, Ni and Fe in vegetables were 4.78, 0.713, 9.266, 0.083, 5.06 mg/kg/fw exceeding the reference value of FAO/WHO indicating unsafe to consumption. Based on principal component analysis, the Pb, Cr, Ni and Fe are from same sources. Health risk was estimated in terms of estimated daily intake (EDI), target hazard quotient (THQ), hazard index (HI) and cancer risk (CR). The EDI values of metals except Cr were found to be lower than maximum tolerable daily intake (MTDI). The total THQs of metals were > 1 indicating non-carcinogenic health risk. The individual HI values for vegetables except potato (0.831) and total HI values were found to be > 1 (94.747). The TCR of Pb, Cd and Cr were > 1.0E-04 which indicating carcinogenic risk. Fruit and pod vegetables contribute much in carcinogenic risk for Pb and Cr whereas fruit, root and stems vegetables for Cd. The study revealed that potential human health risk was associated with the consumption of different types of vegetables in Bangladeshi adult population.
Enhancing targeted outreach for longitudinal surveys: predictive analytics for participant response in the Millennium Cohort Study
Authors: Barkho Wisam , Carnes Nathan , Kolaja Claire , Tu Xin , Boparai Satbir , Castañeda Sheila F. , Sheppard Beverly D. , Walstrom Jennifer L. , Belding Jennifer N. , Rull Rudolph P. 
Published: January 2024

Abstract
Background: The Millennium Cohort Study is a prospective cohort study designed to examine the long-term effects of military service. The study collects self-reported data from surveys administered every 3–5 years to military personnel and veterans. Participant nonresponse to follow-up surveys presents a potential threat to the validity and generalizability of study findings. In recent years, predictive analytics has emerged as a promising tool to identify predictors of nonresponse.
Methods: Here, we present a method that leverages machine learning techniques to develop a high-skill classifier to predict participant response to Millennium Cohort Study follow-up surveys. Using a temporal cross-validation method, six supervised algorithms, each using differing learning strategies, were employed to predict response to the 2021 follow-up survey. Using latent class analysis (LCA), we classified participants based on historical survey response and compared prediction performance with and without this variable. Feature analysis was subsequently conducted on the best performing model to identify the most important factors.
Results: The LCA variable consisted of six distinct classes: consistent web responders, consistent paper responders, mode switchers, early and late consistent nonresponders, and inconsistent responders. Notably, the LCA classes were found to be statistically significant across various military and demographic characteristics. Including the LCA variable in the machine learning analysis, all six algorithms performed comparably to one another. However, without the LCA variable, random forest outperformed the benchmark regression model by 9.3% in area under the curve (AUC) of the receiver operating characteristic (ROC) curve and 7.7% in AUC of precision-recall. Moreover, inclusion of the LCA variable increased the ROC AUC for all algorithms by 10% or more, except for random forest and interaction forest, which improved by approximately 5% in ROC AUC. Feature analysis indicated LCA was the most important predictor in the model.
Conclusions: Our findings highlight the importance of historical response patterns to significantly improve prediction performance of participant response to follow-up surveys. Machine learning algorithms can be especially valuable when historical data are not available. Implementing these methods in longitudinal studies can enhance outreach efforts by strategically targeting participants, ultimately boosting survey response rates and mitigating nonresponse.
Atomistic Molecular Dynamics Simulation and COSMO-SAC Approach for Enhanced 1,3-Propanediol Extraction with Imidazolium-Based Ionic Liquids
Authors: Akshat Raj , Bharti Anand , Padmanabhan Padmini 
Published: January 2024

Abstract

1,3-Propanediol (1,3-PDO) holds significant industrial importance, but its eco-friendly extraction remains a challenge. To address this, we investigated the performance of four ionic liquids ([Bmim][NTF2], [Bmim][NPF2], [Bmim][SCN], and [Bmim][TFO]) via Molecular Dynamics simulations for 1,3-PDO extraction. Analysis of radial distribution functions (RDF) and spatial distribution functions (SDF) demonstrated enhanced 1,3-PDO coordination around [Bmim][SCN], with higher density in [Bmim][SCN] and [Bmim][TFO] compared to [Bmim][NPF2] and [Bmim][NTF2]. [Bmim][TFO] and [Bmim][SCN] exhibited pronounced RDF anion peaks, indicating robust hydrogen bonding interactions and a higher concentration of 1,3-PDO around them. [Bmim][SCN] formed the highest number of hydrogen bonds (1.639) due to its coordinating [SCN]- anion, which bonded with 1,3-propanediol's [OH]- groups. In contrast, non-coordinating anions in [Bmim][NPF2] and [Bmim][NTF2] formed fewer hydrogen bonds. Within a ternary system, [Bmim][SCN] and [Bmim][TFO] excelled at 1,3-PDO extraction, surpassing [Bmim][NPF2] and [Bmim][NTF2] with selectivity around 29. Anion variations significantly influenced distribution coefficients and selectivity values. COSMO-SAC, a predictive thermodynamic model, confirmed 1,3-PDO's strong interaction with [Bmim][SCN] and [Bmim][TFO]. This study enhances our understanding of IL-1,3-PDO systems and their potential in eco-friendly extraction processes. [Bmim][SCN] emerges as the most promising ionic liquid, offering insights into anion selection's role in shaping ionic liquid properties for 1,3-PDO extraction.
Emergence of Chaotic Resonance Controlled by Extremely Weak Feedback Signals in Neural Systems
Authors: Tran Anh Tu , Nobukawa Sou , Wagatsuma Nobuhiko , Inagaki Keiichiro , Doho Hirotaka , Yamanishi Teruya , Nishimura Haruhiko 
Published: January 2024

Abstract

Chaotic resonance is similar to stochastic resonance, which emerges from chaos as an internal dynamical fluctuation. In the chaotic resonance, chaos-chaos intermittency (CCI), in which the chaotic orbits shift between the separated attractor regions, synchronises with a weak input signal. Chaotic resonance exhibits higher sensitivity than stochastic resonance. However, engineering applications are needed because the internal-system-parameter adjustment requirements, especially the biological systems, to induce chaotic resonance from the outside environment is challenging. Moreover, several studies reported abnormal neural activity caused by CCI. Recently, our study proposed that the double-Gaussian-filtered reduced region of orbit (RRO) method (abbreviated as DG-RRO), using external feedback signals to generate chaotic resonance, achieved controlling CCI with a lower perturbation strength than the conventional RRO method. This study applied the DG-RRO method to two typical psychiatric neural systems with CCI behaviour which reproduces the abnormal neural activity of attention deficit hyperactivity disorder and bipolar disorder. Our finding revealed that the DG-RRO feedback method can shift abnormal irregular activity to healthy ordered activity by the chaotic resonance, maintaining extremely low perturbation of the feedback signal. This outcome has the potential application of the DG-RRO approach in treatment while minimising undesired side effects.