bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prism Intuitionistic Fuzzy Number and its Application
Authors: G ARUNA , J Jesintha Rosline 
Published: December 2023

Abstract
The aim of this work is to study the non-membership function of a Prism Fuzzy Number. The non-membership function in the Prism fuzzy number is essential to reducing the level of uncertainty. In this artifact, we introduce a Prism Intuitionistic Fuzzy Number (PrIFN). The arithmetic operations, (\alpha, \beta) cut set, index of value, imprecision index, and theorems of Prism Intuitionistic fuzzy numbers are discussed with pertinent examples and results. There are numerous potential applications for the newly developed idea of a Prism Intuitionistic Fuzzy Number. To confirm and show the feasibility of the suggested method, a new grading technique is defined and an analysis of decision-making is illustrated.
Insights into electron transfer and bifurcation of the Synechocystis sp. PCC6803 hydrogenase reductase module
Authors: Lettau Elisabeth , Lorent Christian , Appel Jens , Boehm Marko , Cordero Paul R. F. , Lauterbach Lars 
Published: December 2023

Abstract

The NAD+-reducing soluble [NiFe] hydrogenase (SH) is the key enzyme for production and consumption of molecular hydrogen (H2) in Synechocystis sp. PCC6803. In this study, we focused on the reductase module of the SynSH and investigated the structural and functional aspects of its subunits, particularly the so far elusive role of HoxE. We demonstrated the importance of HoxE for enzyme functionality, suggesting a regulatory role in maintaining enzyme activity and electron supply. Spectroscopic analysis confirmed that HoxE and HoxF each contain one [2Fe2S] cluster with an almost identical electronic structure. Structure predictions, alongside experimental evidence of ferredoxin interaction, revealed a remarkable similarity between SynSH and bifurcating hydrogenases, suggesting a related functional mechanism. Our study revealed the subunit arrangement and cofactor composition essential for biological electron transfer. These findings enhance our understanding of NAD+-reducing [NiFe] hydrogenases in terms of their physiological function and structural requirements for biotechnologically relevant modifications.
Robot Motion Planning and Control for Thread Hole Cleaning Tasks
Authors: Cheng Hongtai , Wang Kai , Cheng Xiong 
Published: December 2023

Abstract

Painting is a necessary process for metal surface protection. However, the painting material may accumulate in the thread holes and cause difficulties for future bolt installation. Cleaning the extra paint is necessary for the following assembly task. For industrial robots, cleaning such paint in internally threaded holes is not a trivial task. It requires overcoming challenges related to the accuracy of hole positioning and deviations in the orientation of the threaded holes during the cleaning process, otherwise, the tools may be jammed or the threads may be damaged. This paper aims to analyze the position and force constraints in this process and explore the method to enable robotic automatic thread cleaning. The whole cleaning task is divided into 5 processes: approaching, hole searching, posture tuning, thread cleaning, and retraction. Two spiral search methods are proposed to compensate for the translational and rotational error between the tab and the threaded hole; A force control is introduced to synchronize the rotation and feeding motion; A switched hybrid force/positional controller is proposed to accomplish the cleaning task, which ensures the motion accuracy and compliance. The proposed method has been implemented on an experimental platform, and the results verify the effectiveness of the proposed threaded hole cleaning method.
Molecular epidemiology of Small ruminant morbillivirus (SRMV) isolates from field outbreaks in Kerala, India based on Fusion (F) and Nucleoprotein (N) gene
Authors: Arun P M , Rajasekhar Ravindran , Ravishankar Chintu , K Sumod , Palekkodan Hamza , Shashank S. , KM Maneesh 
Published: December 2023

Abstract
Small ruminants contribute significantly to the animal husbandry economy. Peste des petits ruminants (PPR) is one of the major infectious disease of small ruminants caused by Small ruminant morbillivirus (SRMV), a member of the genus Morbillivirus, which cause significant morbidity and mortality in affected population thereby disturb economy of rural poor. The present study describes the molecular characterisation and phylogenetic analysis of SRMV with complete nucleocapsid (N) and Fusion (F) gene sequence. Phylogenetic analysis of the SRMV isolates based on the revealed that, all the isolates shared a common ancestor with Tamil Nadu isolate and were grouped under lineage IV. Phylogenetic analysis also revealed that, there are two genetic groups circulating in Kerala and are recently evolved. Analysis of the F protein of SRMV showed two unique mutations (A18E and S430I) in Kerala isolates. Amino acid analysis of nucleoprotein revealed that most of the changes were in the C- terminal region. Four unique mutations were also observed in the Nucleoprotein (NP) of the present SRMV isolates (I153V, A431V, R458M and G461K). Among the 19 B cell epitopes identified on nucleoprotein, at least one amino acid variation was detected in four epitopes. These changes may affect the monoclonal antibody based diagnostic assays. These changes in F and N gene indicates continuous emergence and circulation of new variants of virus within same geographical area. This is the first report of molecular characterization of PPRV isolates based on full N and F gene from Kerala, India.
Investigation of Dopamine formation in fermentation process as a neurotransmitter in a model system and simulated Iranian Lighvan mini cheese containing different cultures
Authors: Kiani Ahmadreza , Soleimanian-Zad Sabihe , Sheikh-Zeinoddin Mahmoud , Mustafa Muhannad Haj 
Published: December 2023

Abstract
The mechanisms of probiotics' impacts on hosts are not yet thoroughly investigated and lacks detailed information on the field of neurotransmitter production in food. While many studies confirmed that certain bacteria have the ability to produce Dopamine in different conditions, there is a lack of comprehensive research on its presence in food. This study aims to explore the degradation of Tyrosine and Tyramine, as well as Dopamine production, by different cultures in a synthetic media and Iranian Lighvan cheese as a proper fermentation media for biogenic amines accumulation. Our findings indicate that Enterococcus faecium strengthen the chance of Tyramine production. Additionally, Dopamine can be found in a media containing Enterococcus faecium. While we suggest that L. plantarum as a probiotic bacteria can significantly (p ≤ 0.05) reduce Tyramine levels, leading to Dopamine production in the Tyramine model system, there is no evidence of Dopamine production in cheese during the studied fermentation period and it is proposed that the production of Dopamine is more related to the media and its conditions than the presence of its precursors.
Role of parental involvement, conflict resolution, and perceived social acceptance on bullying tendency among adolescents
Authors: Oyelade Oluwadamilare John , Adebayo Adejumo O. 
Published: December 2023

Abstract
Adolescence is a developmental stage that comprises some basic interactional processes with parents, which can be described as gaining autonomy while maintaining relatedness. Studying how parental involvement, conflict resolution, and perceived social acceptance predict bullying tendency among adolescents is especially important while seeking to understand the challenges of this developmental stage that is characterized by different disruptive behaviours. This study investigated the role of parental involvement, conflict resolution, and perceived social acceptance on bullying tendency among adolescents in secondary school in Egbeda local government, Oyo state, Nigeria. The demographic variable of gender was also considered. The study makes use of Sigmund Freud’s Psychoanalytic Theory, and Evolutionary Theory by Darwin, among other theories to explain the construct. Standardized questionnaires: The Modified Aggression Scale, Parental Involvement Scale, Conflict Resolution Style Inventory and Perceived Acceptance Scale were used to collect data from 649 adolescents in secondary school in Egbeda local government, Oyo state. A total of 606 questionnaires were completed and analysed using intercorrelation, t-tests and multiple regression (57.4% female and 42.6% male, average age of 16). The study showed a 65.5% prevalence of bullying among adolescent students of selected secondary schools in Egbeda local government, Oyo state. The findings indicated that there is no predictor role of parental involvement in bullying tendency. However, correlational analysis showed that there is a negative relationship between parental involvement and bullying tendency among adolescents. It also finds that conflict resolution dimensions significantly predict bullying tendency among adolescents. Perceived social acceptance does not significantly predict bullying tendency among adolescents. We also found significant gender differences on bullying among adolescents. The findings of this study established that among adolescents, psychosocial factors are significant predictors of bullying behaviours. It is therefore suggested that an intervention program that will include parents, teachers, and professionals such as psychologists, counsellors and social workers that can curb bullying tendencies among adolescents should be established.
Catalytic (mono, bi, and tri-metallic) in-situ hydrothermal liquefaction of water hyacinth
Authors: Yadav Priyanka , Reddy Sivamohan N. 
Published: December 2023

Abstract
The hydrothermal liquefaction of mono (Zn), bi-metallic (Fe/Zn, and Cu/Zn), and tri-metallic (Fe/Cu/Zn) impregnated water hyacinth was investigated. The impact of operating parameters like temperature (200-300 °C), residence time (15-45 min), and biomass-to-water ratio (1:3-1:12) was varied to examine the product yields. The Zn-impregnated water hyacinth resulted in a bio-oil yield of 33.2 ± 0.9% and a water-soluble fraction of 45.4 ± 1.4% as Zn has a higher redox reaction with water generating active hydrogens leading to water-soluble organic compounds. The bio-oil samples analyzed by NMR spectroscopy show higher alkanes and alcohol content. FESEM-EDX and TEM analyzed carbon hybrids samples for morphology and an average zinc particle size of 68.6 nm. XRD and XPS analysis confirmed the carbothermal reduction of Zn2+ to zero-valent Zn nanoparticles. The Cu and Fe have been tested to enhance the bio-oil yields and the tri-metallic was the most efficient in enhancing the highest total bio-oil of 37.6 ± 1.1% with the minimum carbon hybrids of 15.6 ± 0.5%.
circRNA circSCAF8 promotes tumor growth and metastasis of gastric cancer by miR-1293/TIMP1signaling
Authors: Peng Yang , Mei Bin , jiajie chen 
Published: December 2023

Abstract

SCAF8 (SR-like CTD-associated factor 8) can regulate transcriptional termination, but the function of circSCAF8 is still unclear. In our study, we found circSCAF8 expression was significantly increased in gastric cancer, especially in gastric cancer tissues with lymph node metastasis. Kaplan-Meier curve indicated high circSCAF8 expression group possessed low overall survival time in gastric cancer. Moreover, circSCAF8 shRNA viruses could decrease gastric cancer proliferation, invasion, and migration in vitro. By using bioluminescence imaging (BLI) technology in vivo experiments, we also found circSCAF8 shRNA viruses could inhibit the growth of xenograft tumors and gastric cancer lung metastasis. RIP and circRNA pulldown assays confirmed circSCAF8 could directly bind to miR-1293, but circSCAF8 could not regulate the expression of miR-1293 in gastric cancer. Interestingly, the downstream gene TIMP1 of miR-1293 could be regulated by circSCAF8, and this view was further verified in gastric cancer tissues. Moreover, we confirmed that miR-1293 could directly inhibit TIMP1 expression. Subsequently, through rescue experiments, we found TIMP1 overexpression could reverse the effect of circSCAF8 shRNA viruses on gastric cancer. In conclusion, circSCAF8 expression was increased in gastric cancer, and circSCAF8 shRNA viruses could inhibit gastric cancer growth and metastasis by elevating TIMP1 expression via miR-1293.
Metagenomic analysis reveals the effect of revegetation types on the function of soil microorganisms in carbon and nitrogen metabolism in the open-cast mining area
Authors: Zhang Xiujuan , Zhang Hong , Li Junjian , Liu Yong 
Published: December 2023

Abstract

Aims
Vegetation type is one of the most important factors contributing to the changes in soil properties during the rehabilitation process in mining areas. There is still insufficient awareness of the relationship between soil properties and the function of soil microbes in the carbon and nitrogen cycles under different revegetation type influences.
Methods
Seven reclaimed vegetation plots which has been restored for over 30 years in the Pingshuo opencast coal mine, China were established (RP: Robinia pseudoacacia, UP: Ulmus pumila, LG: Larix gmelinii, PC: Populus simonii Carr., PT: Pinus tabuliformis, PA: Picea asperata, and PS: Pinus sylvestris). The soil properties and enzyme activity were detected, while the metagenomic approach was used to analyze the potential mechanisms of soil microorganisms work in carbon and nitrogen metabolism.
Results
Total N was obviously highest in the PC habitat (2.347 ± 0.017%), followed by RP (2.188 ± 0.059 %). The major facilitator Superfamily COG0477 and dehydrogenase the COG2133 were significantly enriched in the PR habitat. The acetolactate synthase COG0028 was significantly enriched in RP, followed by LG and PC (P < 0.05). β-glucosidase (EC3.2.1.21) were dominated in soil microbial communities among 7 vegetation types, and significantly richer in RP and LG, followed by PC and PT (P < 0.05). GTs and GHswere significantly richer in UP and LG, respectively.
Conclusion
Robinia pseudoacacia and Larix gmelinii may be good species choice for improving the productivity and stability of the soil ecosystem in mining areas.
Modeling Semiparametric Geographically Weighted Regression Using Linear Model Coregionalization to Specify Variable’s Type
Authors: Siswanto Siswanto , Rahmawati Wahyu Dwi , Jaya Andi Kresna , Heryanto Heryanto 
Published: December 2023

Abstract

Semiparametric geographically weighted regression (SGWR) is a regression model that contains two types of variables, namely global and local variability. The grouping of variables in this study utilizes the partial sill (psill) value that obtained from the output of the linear coregionalization model (LMC) resulting from the combination of three variogram functions. This study aims to identify variables that affect poverty in Papua Province in 2020, including literacy rate (LR), life expectancy (LE), school participation rate (SPR), RREB realization, population, per capita income, dependency ratio and labor force participation rate (LFPR). Based on the psill value, LR variable, RREB realization, population, per capita income, and LFPR as global variables while LE, SPR and dependency ratio variables are grouped as local variables. The five global variables have a significant influence on the number of poor people, while of the three local variables, only the dependency ratio has a significant influence in each location and others are not significant in certain locations. The results of the analysis showed that the SGWR1 model with its local variables had a proportion of non-nugget psill above 80% more in accordance with the data owned than the SGWR2 model which included variables with a proportion above 70%. This is indicated by the AICc value of the SGWR1 model of 76.504 while the SGWR2 model is 81.588.
Studying on the solution of fractal composite reservoir seepage model
with linear fault under elastic outer boundary
Authors: Jiang Tingrong , Zheng Pengshe , Xu Lin , Leng Lihui 
Published: December 2023

Abstract
In this paper, a fractal composite reservoir seepage model considering wellbore storage and skin factor is established for composite reservoirs with linear faults. The traditional three ideal external boundary conditions are generalized into elastic external boundary conditions. Through the dimensionless transformation and laplace transformation of the seepage model, combined with the mirror reflection method and the superposition principle, the similar structure solution of the dimensionless bottom hole pressure with the fault located in the inner zone and the mirror well located in the inner and outer zones is obtained by using the similar structure method. The Stehfest numerical inversion method is used to draw the typical characteristic curve of dimensionless bottom hole pressure and pressure derivative in real space, and the sensitivity analysis of the parameters is carried out. The results show that on the one hand, the distance between the fault and the production well has a great influence on the dimensionless pressure at the bottom of the well. On the other hand, the introduction of the elastic outer boundary can better describe the seepage characteristics of the reservoir and is more general. The research results are of great significance to the mining strategy of composite reservoirs, and also provide a new theoretical basis for further study of composite reservoirs with linearfaults.
Effective Tweets Classification for Disaster Crisis based on Ensemble of Classifiers
Authors: Eke Christopher Ifeanyi , Mulenga Mwenge , Phiri Musa , Al-Shamayleh Ahmad Sami , Imran Mohammad , Kwaghtyo Dekera Kenneth 
Published: December 2023

Abstract

In the field of disaster crisis management, the utilization of social media platforms has gained significant recognition. It helps in disseminating and gathering information during disasters, offering real-time updates on events, infrastructure damage reports, and casualty information. However, the information comes with a substantial amount of irrelevant content. Some researchers have utilized machine learning classifiers for classification, which has become ineffective. Thus, this study proposes an ensemble-based approach to disaster tweet classification, using a wide array of linguistic and word embedding features, Additionally, we investigate various supervised learning algorithms and ensemble classifiers for resolving this issue. Our findings reveal that the ensemble feature sets, specifically, the fusion of TF-IDF and word embeddings, when coupled with Bagging, achieved a classification accuracy of 98.92%. This research highlights the potential of leveraging machine learning and ensemble techniques on disaster tweet classification, providing insights for improving real-time disaster response efforts.
Role of respiratory secretion culture in surgical outcome prediction of bacterial empyema
Authors: Liu Chia-Chi , Cheng Ya-Fu , Chen Yi-Ling , Cheng Ching-Yuan , Huang Chang-Lun , Hung Wei-Heng , Wang Bing-Yen 
Published: December 2023

Abstract
Background: Thoracic empyema is a serious infectious disease worldwide. Video-assisted thoracoscopic surgery is strongly recommended as a treatment, and pleural fluid and tissue cultures can be obtained intraoperatively. The combination of a pleural peels tissue culture and a pleural fluid culture improves the positive culture rate. We aimed to investigate the role of respiratory secretion cultures to determine the optimal management for improving surgical outcome.Methods: This retrospective study identified 1197 patients with phase II or III thoracic empyema from our institution. Patients who underwent decortication of the pleura from April 2011 to May 2022 with a positive pleural culture were included.Results: There were 225 empyema patients with either a positive pleural fluid culture or a positive pleural peel tissue culture. Of these, 76 patients had positive respiratory secretion culture findings during hospitalization. The most common species of pathogens were Pseudomonas aeruginosa (44%), Klebsiella pneumoniae (16%), and Staphylococcus aureus (10%) in the respiratory secretion cultures and Streptococcus spp. (38%), Klebsiella pneumoniae (12%), and Staphylococcus aureus (11%) in the pleural cultures. There were 30 patients who had a common pathogen in a respiratory secretion culture and in the pleural fluid/tissue culture. Poor outcome measures were found in these patients, including the longer use of antibiotics preoperatively (19.03 ± 37.66 days versus 9.59 ± 27.09 days, p = 0.006) and a higher mortality rate during hospitalization (40.0% versus 17.4%, p = 0.002).Conclusions: The respiratory secretion culture plays an essential role in prediction of surgical outcome in bacterial empyema. Obtaining the respiratory secretion specimen promptly through proper methods helps to improve the survival of empyema patients.
InChI Isotopologue and Isotopomer Specifications
Authors: Moseley Hunter N.B. , Rocca-Serra Philippe , Salek Reza M. , Arita Masanori , Schymanski Emma L. 
Published: December 2023

Abstract
This work presents a proposed extension to the International Union of Pure and Applied Chemistry (IUPAC) International Chemical Identifier (InChI) standard that allows the representation of isotopically-resolved chemical entities at varying levels of ambiguity in isotope location. This extension includes an improved interpretation of the current isotopic layer within the InChI standard and a new isotopologue layer specification for representing chemical intensities with ambiguous isotope localization. Both improvements support the unique isotopically-resolved chemical identification of features detected and measured in analytical instrumentation, specifically nuclear magnetic resonance and mass spectrometry. This new extension to the InChI standard would enable improved annotation of analytical datasets characterizing chemical entities, supporting the FAIR (Findable, Accessible, Interoperable, and Reusable) guiding principles of data stewardship for chemical datasets, ultimately promoting Open Science in chemistry.
Review on Heavy Metal Removal and Efficacy of Biosorbents
Authors: Nithyanandam Rajesh , Rajendran Rupika , Rajesh Rajavarsini , Orvy Moontarij Jahan 
Published: December 2023

:
Industries release a significant amount of wastewater contaminated with heavy metals.
It is a major cause of pollution and a potential health hazard when discharged into the environment
without treatment. Standard adsorbents for removing heavy metals have certain limitations,
like incomplete metal removal, high energy requirements, and undesirable waste generation.
Therefore, the use of biosorbents is an effective alternative to conventional procedures.
This critical review evaluates and summarizes the optimum results obtained from different papers
covering different parameters such as biosorbent removal efficiency and their adsorption
capacity, adsorbent dosage, and effect of pretreatment for removal of single and combination of
heavy metals. The influence of pH, contact time, and sorbent dose on biosorption has been discussed.
The Langmuir model and the Freundlich model are studied for various biosorbents, and
the respective results are obtained and summarised. The pseudo-first and second-order models
have been evaluated to study the sorption kinetics. Through this review, it can be concluded that
biosorbents can be a promising alternative to treat industrial effluents, mainly because of their
high metal binding capacity, low cost, high efficiency in diluted effluents, and environmentally
friendly nature.