bluuebunny/crossref_metadata_2025_split huggingface dataset:
Metabolic activities of marine ammonia-oxidizing archaea orchestrated by quorum sensing
Authors: PEREIRA Olivier , Qin Wei , Galand Pierre E. , Debroas Didier , Lami Raphael , Hochart Corentin , Zhou Yangkai , Zhou Jin , Zhang Chuanlun 
Published: January 2024

Abstract
Ammonia-oxidizing archaea (AOA) play crucial roles in marine carbon and nitrogen cycles by fixing inorganic carbon and performing the initial step of nitrification. Evaluation of carbon and nitrogen metabolism popularly relies on functional genes such as amoA and accA. Increasing studies suggest that quorum sensing (QS) mainly studied in biofilms for bacteria may serve as a universal communication and regulation mechanism among prokaryotes; however, this has yet to be demonstrated in marine planktonic archaea. To bridge this knowledge gap, we employed a combination of metabolic activity markers (amoA, accA, and grs) to elucidate the regulation of AOA-mediated nitrogen and carbon processes, including their interactions with the surrounding heterotrophic population. Through co-transcription investigations linking metabolic markers to potential key QS genes, we discovered that QS molecules could regulate AOA's carbon, nitrogen, and lipid metabolisms under different conditions. Interestingly, specific AOA ecotypes showed a preference for employing distinct QS systems and a distinct QS circuit involving typical population. Overall, our data demonstrate that QS orchestrates nitrogen and carbon metabolism, including the exchange of organic metabolites between AOA and surrounding heterotrophic bacteria, which has been previously overlooked in marine AOA research.
In situ electrospun three-dimensional polyacrylonitrile nanofiber reinforced silica aerogels via ambient pressure drying for efficient oil/water separation
Authors: Li Yi-Ming , Liu Fang , jia Zhen-Zhen , Cheng Xuan , Zheng Yu-Ming , Shao Zai-Dong 
Published: January 2024

Abstract
In situ electrospun 3D polyacrylonitrile (PAN) nanofiber-reinforced (EPNR) silica aerogel monoliths were prepared through methyltriethoxysilane–trimethylchlorosilane modification followed by ambient pressure drying (APD). The 3D PAN nanofiber network was built into silica sol by liquid-assisted collection. Homodispersed and intertwined PAN nanofibers were well incorporated into the silica aerogel matrix. The APD-EPNR silica aerogel had a porosity of 90.9% and a BJH pore volume of 2.15 cm3⋅g− 1. Furthermore, the APD-EPNR silica aerogel monolith showed excellent flexibility and revealed a highly hydrophobic surface with a water contact angle of 145º. The APD-EPNR aerogel was suitable for removal of oil from water. The static mass of the APD-EPNR silica aerogel achieved 700–1500% to various solvents and recovered without obvious performance decline. The APD-EPNR silica aerogel mat also achieved continuous oil/water separation with separation efficiency of more than 99%. Hence, the prepared APD-EPNR silica aerogel has promising application for treatment of oil pollution.
Refractive EEG classification joint singular spectrum analysis and tunable Q factor wavelet transform
Authors: Ren Hongyi , Fan Chixuan , Zhang Ruyi , Ma Qingkai , Gong Jianyang , Han Yishi 
Published: January 2024

Abstract
Compared with the traditional methods, the application of electroencephalogram(EEG) in refractive classification is more portable and more suitable for daily environment. However, there is still a lack of research on refractive classification based on EEG signals. Therefore, this paper proposes a multi-classification of refractive EEG based on single-channel joint singular spectrum analysis and tunable Q factor wavelet transform(SSA-TQWT). In order to improve the classification accuracy of refractive EEG signals and better adapt to the characteristics of nonlinear EEGs, this paper proposes a time-frequency analysis method of SSA-TQWT to denoise EEG signals. Firstly, this method uses SSA algorithm to decompose, and uses component selection algorithm to quickly and automatically screen useful signals, which reduces the labor loss and avoids the loss of useful signals. Then, TQWT algorithm is used to adaptively process the refractive EEG signal through flexible and adjustable Q and r. At the same time, multi-domain features are extracted for fusion. Include nonlinear dynamic features, statistical features and frequency domain features. Finally, machine learning is used to classify them. The experimental results show that the average classification accuracy of this method is 90.61%, which is 10.29% higher than SSA method and 8.05% higher than TQWT method. At the same time, the sensitivity and specificity for low, medium and high refractive states are 93.94%, 81.82% and 80%, 93.75%, 92.11% and 93.48% respectively.
In silico Functional Annotation and Characterization of Hypothetical Proteins in Cedecea neteri SSMD04: Insights into Pathogenicity and Antibiotic Resistance
Authors: Sharma Shubhangi , Pandey Pallavi , Kaur Jaspreet 
Published: January 2024

Abstract
Cedecea neteri strain SSMD04 is a rare gram-negative pathogenic bacterium belonging to the Enterobacteriaceae family. It is known to cause sporadic acute infections, particularly in immunocompromised individuals, but understanding of its antibiotic resistance and virulence factors is limited. This study aims to shed light on the functional roles of its hypothetical proteins (HPs) and identifying the ones that are responsible for the resilient and pathogenic nature of the bacterium. Using bioinformatic tools, we conducted a comprehensive analysis of 30 HPs out of a total of 244 HPs in C. neteri SSMD04. The systematic analysis began with the prediction of their functional domains and molecular functions, followed by analyzing their physicochemical properties, including molecular weight, charge distribution, stability, and hydrophobicity. We also determined the subcellular locations of HPs, identifying membranous and cytoplasmic proteins that could serve as potential drug and vaccine targets. Followed by localization, the incidence of their virulence was assessed. Tertiary structure analysis of the proteins revealed some interesting insights into the structures of HPs, such as the presence of active ligand-binding sites which can be targeted to alter the antibiotic resistance ability of C. neteri SSMD04. Overall, the results of our analyses revealed that several HPs play crucial roles in the bacterium owing to its virulence and survival within the host. The insights gained from this study will be helpful for developing targeted therapies against bacterial infections and combating antibiotic resistance.
Synthesis and characterization of silver nanoparticles using the Shrub Solanum betaceum and evaluation of their anticancer activity
Authors: Subbaian Aejitha , Babu Kaviya , Ali Apshana Mubarak , Mani Neelakandan , Arumugam Ramakrishnan , Thilagar Gobinath 
Published: January 2024

Abstract
The biological activity of Solanum betaceum leaves and its nanoparticles has been poorly studied in the field of anticancer science. In this research, the synthesis of silver nanoparticles was accomplished by the new effortless green synthesis process, using S.betaceum leaves extract as reducing and capping agent. The effects of various parameters i.e., pH, reactants ratio, and temperature on the synthesis of AgNPs were studied. The production of S.betaceum leaves extract AgNO3 NPs was characterized by powder X-ray diffraction (XRD), UV-visible, Fourier transform infrared (FTIR) spectroscopy, and scanning electron microscopy (SEM). The S.betaceum leaves fabricated AgNO3 NPs were tested for their cytotoxicity action against cancer cells (Leukaemia cell line (K562), Bone cancer - MG63, Breast cancer - MCF7). It was found that the formation of AgNPs enhanced with time at a higher temperature and alkaline pH. The UV visible absorbance spectrum of AgNO3 NPs exhibited the absorbance band at 280 nm and SEM studied highlighted average crystalline sizes of nanoparticles of 0.2µm to 0.5µm. The in vitro cytotoxic effect of .betaceum leaves fabricated AgNO3 NPs inhibited the proliferation of Leukaemia cell line (K562), Bone cancer - MG63, Breast cancer - MCF7 with IC50 concentration. Overall, based on our results, we strongly believe that the synthesis of AgNO3 NPs using commonly used S.betaceum leaves can be promoted as a potential eco-friendly option to chemical methods currently used for nanoparticle synthesis of anticancer compounds.
Imagining Sport as a Social Space in Thimlich Ohinga Society: Multivariate Approach
Authors: Muthegethi David Maina , Wagura Kennedy Gitu , Ndiiri Washington 
Published: January 2024

Abstract
The article examines sports in antiquity as a social institution, just like religion, family, and others in the Thimlich Ohinga archaeological site. Its re-centers sports in exploring past societies in East Africa, emphasizing the Thimlich Ohinga society that existed from the 15th to the 20th century. The study employs multivariate strategies of data collection and subsequent analysis. They include archaeological, historical, and ethnographic methods. Key findings show that the Thimlich Ohinga incorporated various sports through time and space. They include bao, wrestling, swimming, spear throwing, and running, which can be categorized as games that lie under chance and physical skills. To that end, these games fall under societies that were not complex in the past. Interestingly, these games were practiced for survival, defense, and spaces for expressing gender, especially masculinity, in the above society. Namely, spear throwing acted as defense and raiding other communities for livestock, especially among the Luo community. However, the bao game was based on chance, a possibility of expression of luck, which is in line with religious activities. The study demonstrates that sports were part of Thimlich Ohinga’s social institutions. Therefore, these findings warrant further interrogation of sports as a social institution in wider East African past and contemporary indigenous societies.
Evaluating the Impact of Training and Skill Development Programs on Employee Performance in Private Banks
Authors: Dewi Lutfiana , Utomo Nadira , Puspitasari Fitriani 
Published: January 2024

Abstract

In the ever-evolving landscape of the banking industry, the imperative of maintaining a highly skilled and adaptable workforce is paramount. This research undertakes a comprehensive examination of the influence exerted by training and skill development programs on employee performance within private banks. The study endeavors to unravel the intricacies of the relationship between training initiatives, skill enhancement, and overall organizational outcomes. Employing a meticulously crafted mixed-methods approach, combining quantitative surveys and qualitative interviews, this research seeks to provide a nuanced and holistic understanding of the multifaceted dynamics at play. The literature review situates this study within the broader context of research on training programs and employee performance. While existing studies demonstrate a positive correlation between employee training and improved performance, it is acknowledged that the effectiveness of such programs is contingent upon factors such as program design, delivery methods, and organizational culture. The specific nuances within the private banking sector necessitate a dedicated exploration to bridge the current gap in the literature. Methodologically, a mixed-methods approach was employed to capture the richness and depth of the phenomenon under investigation. Quantitative data was gathered through structured surveys distributed among employees who had participated in training programs within private banks. Likert scales were employed to assess perceived improvements in skill levels and performance outcomes. Concurrently, qualitative data was obtained through in-depth interviews with key stakeholders, including human resource professionals and training facilitators, providing a more holistic understanding of the contextual factors influencing program efficacy. Preliminary analysis of the data suggests an overall positive perception among employees regarding the impact of training and skill development programs on their performance. Quantitative results reveal statistically significant improvements in self-reported skill levels and job performance. Qualitative findings enrich the understanding by uncovering the nuanced role of program design, support mechanisms, and organizational culture in shaping the outcomes of training initiatives. The ensuing discussion synthesizes the quantitative and qualitative findings, exploring the implications of the results for human resource management practices and organizational strategy within private banks. This section delves into potential areas for improvement in the design and implementation of training programs, offering actionable recommendations for private banks seeking to optimize the impact of these initiatives on employee performance. In doing so, this research contributes valuable insights to both academic research and the practical realm of human resource management and organizational development within the banking sector.
Modelling multi-stage energy optimization in the smart hub energy system with hybrid demand management and local supply by Electric Vehicles
Authors: jafari saeed , Najafi Mojtaba , Pirkolachahi Naghi Moaddabi , Shirazi Najmeh Cheraghi 
Published: January 2024

Abstract
The interdependence of energy with social sustainability, economic viability, and environmental impact has led energy operators to conduct thorough investigations into energy scheduling issues. These investigations have prompted the development of new strategies for energy generation, such as the utilization of energy carriers including electrical, gas, and thermal loads. This article presents a model for multi-stage energy optimization in a smart system like energy hub, with a focus on hybrid demand management at the consumer level. The proposed multi-stage energy optimization approach aims to address demand management in the upper stage, while also minimizing energy generation costs and emission pollution in the lower stage. The hybrid demand management is proposed considering two demand response programs like optimal shifting and interrupting of the thermal and electrical demands. The modeling of emission pollution and energy generation costs in the lower stage is done by multi-criteria optimization. As well, local supply strategy is implemented via electric vehicles (EVs) in lower stage by consumers to supply self-electrical demand. The proposed two-stage multi-criteria optimization by using GAMS software is solved. On the other hand, multi-criteria optimization is handled by a modified epsilon-constraint method and max-min fuzzy decision approach in the lower stage of optimization. To validate the mentioned approach, three scenarios are compared, and the results clearly illustrate the energy optimization for minimizing the energy costs and emissions achieved through the presented approach.
SUSTAINABLE INDUSTRY MANAGEMENT STRATEGIES IN OVOP PROGRAM WITH RAP-FIOVOP METHOD
Authors: Puspokusuma R.A Aryanti Wardaya , Adhikara Cooky T , Hartono Hendry , Mohamed Zainal Siti Rohaida 
Published: January 2024

One Village One Product (OVOP) is a successful method in agribusiness that has been applied in various modern countries in the world. With OVOP assists the Indonesia’s industry, it open wider opportunities for both domestic and international markets. OVOP method is expected to bring prosperity to its members both within the scope of agriculture, livestock, crafts and other sectors. In this study, sustainability status for OVOP Tofu/Tahu Industry in Utan Kayu, East Jakarta, are assessed from 5 dimensions; Economic Dimension, Social Dimension, Environmental Dimension and Physical Environment, Dimension of Technology, and Leadership Dimension. In order to achieve the research objectives, there are 25 attributes obtained and are analysed to see the sustainability effect of OVOP in Utan Kayu Tofu Industrial Center. This paper also discussed the formulation of alternative sustainable OVOP policies in this industry namely are; 1) Communication with government agencies in encouragement and support of OVOP development facilities; 2) Development of competent human resources; 3) Socializing technology investment; 4) to formulate welfare improvement policy for businessmen; 5) allocation of credit assistance and businessmen funds. All these findings are discussed in detail as the conclusion of this paper.
In Silico Study on Natural Chemical Compounds from Citric Essential
Oils as Potential Inhibitors of an Omicron (BA.1) SARS-CoV-2 Mutants’
Spike Glycoprotein
Authors: Ovchynnykova Olha , Booth Jordhan D. , Cocroft Trey M. , Sukhyy Kostyantyn M. , Kapusta Karina 
Published: January 2024

Background:
SARS-CoV-2's remarkable capacity for genetic mutation enables it to
swiftly adapt to environmental changes, influencing critical attributes, such as antigenicity and
transmissibility. Thus, multi-target inhibitors capable of effectively combating various viral mutants concurrently are of great interest.

Objective:
This study aimed to investigate natural compounds that could unitedly inhibit spike
glycoproteins of various Omicron mutants. Implementation of various in silico approaches allows us to scan a library of compounds against a variety of mutants in order to find the ones that
would inhibit the viral entry disregard of occurred mutations.

Methods:
An extensive analysis of relevant literature was conducted to compile a library
of chemical compounds sourced from citrus essential oils. Ten homology models representing
mutants of the Omicron variant were generated, including the latest 23F clade (EG.5.1),
and the compound library was screened against them. Subsequently, employing comprehensive
molecular docking and molecular dynamics simulations, we successfully identified
promising compounds that exhibited sufficient binding efficacy towards the receptor
binding domains (RBDs) of the mutant viral strains. The scoring of ligands was based on
their average potency against all models generated herein, in addition to a reference Omicron
RBD structure. Furthermore, the toxicity profile of the highest-scoring compounds was
predicted.

Results:
Out of ten built homology models, seven were successfully validated and showed to be
reliable for In Silico studies. Three models of clades 22C, 22D, and 22E had major deviations in
their secondary structure and needed further refinement. Notably, through a 100 nanosecond
molecular dynamics simulation, terpinen-4-ol emerged as a potent inhibitor of the Omicron
SARS-CoV-2 RBD from the 21K clade (BA.1); however, it did not show high stability in complexes with other mutants. This suggests the need for the utilization of a larger library of chemical compounds as potential inhibitors.

Conclusion:
The outcomes of this investigation hold significant potential for the utilization of a
homology modeling approach for the prediction of RBD’s secondary structure based on its sequence when the 3D structure of a mutated protein is not available. This opens the opportunities
for further advancing the drug discovery process, offering novel avenues for the development of
multifunctional, non-toxic natural medications.
Documentation Completeness and Nurses’ Perceptions of a Novel Electronic App for Medical Resuscitation in the Emergency Room: Mixed Methods Approach
Authors: Cheung Kin , Yip Chak Sum 
Published: January 2024

Background
Complete documentation of critical care events in the accident and emergency department (AED) is essential. Due to the fast-paced and complex nature of resuscitation cases, missing data is a common issue during emergency situations.

Objective
This study aimed to evaluate the impact of a tablet-based resuscitation record on documentation completeness during medical resuscitations and nurses’ perceptions of the use of the tablet app.

Methods
A mixed methods approach was adopted. To collect quantitative data, randomized retrospective reviews of paper-based resuscitation records before implementation of the tablet (Pre-App Paper; n=176), paper-based resuscitation records after implementation of the tablet (Post-App Paper; n=176), and electronic tablet-based resuscitation records (Post-App Electronic; n=176) using a documentation completeness checklist were conducted. The checklist was validated by 4 experts in the emergency medicine field. The content validity index (CVI) was calculated using the scale CVI (S-CVI). The universal agreement S-CVI was 0.822, and the average S-CVI was 0.939. The checklist consisted of the following 5 domains: basic information, vital signs, procedures, investigations, and medications. To collect qualitative data, nurses’ perceptions of the app for electronic resuscitation documentation were obtained using individual interviews. Reporting of the qualitative data was guided by Consolidated Criteria for Reporting Qualitative Studies (COREQ) to enhance rigor.

Results
A significantly higher documentation rate in all 5 domains (ie, basic information, vital signs, procedures, investigations, and medications) was present with Post-App Electronic than with Post-App Paper, but there were no significant differences in the 5 domains between Pre-App Paper and Post-App Paper. The qualitative analysis resulted in main categories of “advantages of tablet-based documentation of resuscitation records,” “challenges with tablet-based documentation of resuscitation records,” and “areas for improvement of tablet-based resuscitation records.”

Conclusions
This study demonstrated that higher documentation completion rates are achieved with electronic tablet-based resuscitation records than with traditional paper records. During the transition period, the nurse documenters faced general problems with resuscitation documentation such as multitasking and unique challenges such as software updates and a need to familiarize themselves with the app’s layout. Automation should be considered during future app development to improve documentation and redistribute more time for patient care. Nurses should continue to provide feedback on the app’s usability and functionality during app refinement to ensure a successful transition and future development of electronic documentation records.