bluuebunny/crossref_metadata_2025 huggingface dataset:
Methane emissions decreased in fossil fuel exploitation and sustainably increased in microbial source sectors during 1990–2020
Authors: Chandra Naveen , Patra Prabir , Fujita Ryo , Höglund-Isaksson Lena , Umezawa Taku , Goto Daisuke , Morimoro Shinji , Vaughn Bruce , Röckmann Thomas
Published: July 2023

Setting and tracking mitigation goals for methane (CH4) emissions to limit warming to 1.5°C can be supported by analyzing atmospheric CH4 and its isotopic composition (δ13C, δD). This study, based on reconstructions of the temporal trends, latitudinal, and vertical gradient of CH4 and δ13C from 1985 to 2020 using an atmospheric chemistry transport model, suggests that (1) a reduction in emissions from oil and gas exploitation (ONG) since the 1990s stabilized the atmospheric CH4 growth rate in the late 1990s and early 2000s, and (2) emissions from farmed animals, waste management, and coal mining contributed to the increase in atmospheric CH4 since 2006. Our findings support neither the increasing ONG emissions reported by the EDGARv6 inventory during 1990-2020 nor the large unconventional emissions increase reported by the GAINSv4 inventory since 2006. Total fossil fuel emissions remained stable from 2000 to 2020, as the decrease in ONG emissions in some regions offset the increase in coal mining emissions in China.
The Asiatic Clam (Corbicula fluminea) as a Bio-monitor for Determining the Distribution of Antimony, Arsenic and Thallium in the Water Column and Sediments of Manadas Creek, Laredo, Texas
Authors: addo-mensah alfred , Garcia Natasha , Vaughan Thomas
Published: July 2023

Introduction and Purpose Manadas Creek is an urban tributary of the Rio Grande that flows past a decommissioned antimony smelter and processing plant. This antimony plant is associated with heavy metal contamination in the creek and still poses a threat to the surrounding aquatic environment. Corbicula fluminea was used to determine bioaccumulation from the water column and sediments in Manadas Creek. The metals arsenic (As), antimony (Sb) and thallium (Tl) were analyzed in the water, sediments, gills, mantle, foot, digestive (DI) tract, gonads and shell of clams being monitored at eight sites between March and August 2013.
Materials and methodsSediment, water, and dissected Corbicula fluminea samples from different sites in the Creek were acid-digested and analyzed by Inductively Coupled Plasma Optical Emission Spectroscopy.
Results and discussion High levels of antimony (25.88 ug/L; 75.96 mg/kg) and arsenic (8.26 ug/L; 6.41 mg/kg) in the water and sediments were observed at the site downstream from the smelter. There were no detectable concentrations of arsenic, antimony, or thallium in the shell of C. fluminea. Arsenic and antimony were detected in the tissues of C. fluminea but thallium was not detected.
Conclusion Based on the results, the organotropism for arsenic is DI tract > gills > gonads > foot > mantle > shell and the organotropism for antimony is gills > DI tract > gonads > mantle > foot > shell. This study shows that the Asiatic clam (Corbicula fluminea) is a useful bio-monitor to provide data on the status of metal pollution in Manadas Creek, Laredo, Texas.
GeneAI 3.0: Powerful, Novel, Generalized Hybrid and Ensemble Deep Learning Frameworks for miRNA Classification of species-specific Stationary Patterns from Nucleotides
Authors: Singh Jaskaran , Khanna Narendra N. , Rout Ranjeet K. , Singh Narpinder , Laird John R. , Singh Inder M. , Kalra Mannudeep K. , Mantella Laura E. , Johri Amer M. , Isenovic Esma R. , Fouda Mostafa M. , Saba Luca , Fatemi Mostafa , Suri Jasjit S.
Published: July 2023

Background and Motivation: Due to the intricate relationship between the small non-coding ribonucleic acid (miRNA) sequences, the classification of miRNA species, namely Human, Gorilla, Rat, and Mouse is challenging. Previous methods are not robust and accurate. In this study, we present GeneAI 3.0 (AtheroPoint™, Roseville, CA, USA), a powerful, novel, and generalized method for extracting features from the fixed patterns of purines and pyrimidines in each miRNA sequence in ensemble paradigms in machine learning (EML) and convolutional neural network (CNN)-based deep learning (EDL) frameworks.
Method: GeneAI 3.0 utilized five conventional (Entropy, Dissimilarity, Energy, Homogeneity, and Contrast), and three contemporary (Shannon entropy, Hurst exponent, Fractal dimension) features, to generate a compositefeature set from given miRNA sequences which were then passed into our ML and DL classification framework. A set of 11 new classifiers was designed consisting of five EML and six EDL for binary/multiclass classification. It was benchmarked against 9 solo ML (SML), 6 solo DL (SDL), 12 hybrid DL (HDL) models, resulting in a total of 11+27=38 models were designed. Four hypotheses were formulated and validated using explainable AI (XAI) as well as reliability/statistical tests.
Results: The order of the mean performance using accuracy (ACC)/area-under-the-curve (AUC) of the 24 DL classifiers was: EDL>HDL>SDL. The mean performance of EDL models with CNN layers was superior to that without CNN layers by 0.73%/0.92%. Mean performance of EML models was superior to SML models with improvements of ACC/AUC by 6.24%/6.46%. EDL models performed significantly better than EML models, with a mean increase in ACC/AUC of 7.09%/6.96%. The GeneAI 3.0 tool produced expected XAI feature plots, and the statistical tests showed significant p-values.
Conclusions: Ensemble models with composite features are highly effective and generalized models for effectively classifying miRNA sequences.
The age of recipients and the number of received and inseminated oocytes affect the ART outcomes in a transnational oocyte donation program with vitrified oocytes: a single-center, seven-years’ experience
Authors: Marino Angelo Alessandro , Volpes Aldo , Sammartano Francesca , Modica Martina , Scaglione Piero , Gullo Salvatore , Quintero Luis , Allegra Adolfo
Published: July 2023

In Italy, egg donation is being allowed again following the ruling by the Constitutional Court n. 162/2014. Nevertheless, the number of voluntary donors is insignificant, probably because no reimbursement is provided. Therefore, the great majority of egg donation cycles are performed by using imported cryopreserved oocytes from foreign countries. However, recent evidence has questioned the overall efficacy of this strategy in comparison with the shipment of frozen sperm and vitrified embryos. A retrospective cohort study was conducted ANDROS Day Surgery Clinic Palermo, Italy in the period 2016–2022, using cryopreserved donated oocytes acquired from a single Spanish clinic (Next Fertility Valencia), with the objective of evaluating the efficiency of each batch of oocytes. The primary outcome was the cumulative ongoing pregnancy rate (COPR). The secondary outcomes were the cumulative clinical pregnancy rate (CCPR) and the miscarriage rate. The COPR totalled 36.8%, the CCPR 49.2% and the miscarriage rate 24.7%. The age of recipients and the number of received and inseminated oocytes were significantly associated with the cumulative ongoing and clinical pregnancies. Thus, the greater the number of oocytes, the higher the pregnancy rate, and the younger the recipients, the higher the success rates. In conclusion, our “transnational” donation program with vitrified oocytes has good success rates. The number of received and inseminated oocytes represents a crucial factor for increasing the cumulative pregnancy rates. Further interesting data regards the negative effect of advancing recipient age on success rates, outlining a possible, important role of age-related uterine factor on implantation mechanisms.
Precipitated iodine cathode enabled by trifluoromethanesulfonate oxidation for cathode/electrolyte mutualistic aqueous Zn−I batteries
Authors: Jin Zhong , Zhang Kaiqiang , Yu Qianchuan , Sun Jingjie , Tie Zuoxiu
Published: July 2023

Aqueous Zn − I batteries hold great potential for high-safety and sustainable energy storage. However, the iodide shuttling effect and the hydrogen evolution reaction that occur in the aqueous electrolyte remain the main obstacles for their further development. Herein, we present the design of a cathode/electrolyte mutualistic aqueous (CEMA) Zn − I battery based on the inherent oxidation ability of trifluoromethanesulfonate ([OTf]−) based aqueous electrolyte towards triiodide species. This results in the formation of iodine sediment particles assembled by fine iodine nanocrystals (approximately 10 nm). An iodine host cathode with high areal iodine loading was realized via a spontaneous absorption process that enriched redox-active iodine and iodide species from aqueous electrolyte onto nanoporous carbon based current collector. By tuning iodide redox process and suppressing competitive hydrogen evolution reaction, the assembled CEMA Zn − I batteries demonstrated a remarkable capacity retention of 76.9% over 1000 cycles, retaining a capacity ranging from 141 to 112 mAh g− 1 at a current density of 0.5 mA cm− 2. Moreover, they exhibited a notable rate capability, with a capacity retention of 74.6% when the current density was increased from 0.5 to 5.0 mA cm− 2, resulting in a capacity retention range of 130 to 97 mAh g− 1. This study demonstrates the feasibility of using the oxidation effect to repel redox-active species from the electrolyte to the cathode, paving a new avenue for high-performance aqueous Zn − I batteries.
Genomic histories of polyploidy, diversification, and admixture in a Hawaiian plant radiation
Authors: Lindqvist Charlotte , Tomlin Crystal , Rajaraman Sitaram , Sebesta Jeanne , Scheen Anne-Cathrine , Bendiksby Mika , Low Yee Wen , Salojärvi Jarkko , Michael Todd , Albert Victor
Published: July 2023

Island systems provide important contexts for studying processes underlying lineage migration, species diversification, and organismal extinction. The Hawaiian endemic mints (Lamiaceae family) are the second largest plant radiation on the isolated Hawaiian Islands. We generated a chromosome-scale reference genome for one Hawaiian species, Stenogyne calaminthoides, and resequenced 45 relatives, representing 34 species, to uncover the continental origins of this group and their subsequent diversification. We further resequenced 109 individuals of two Stenogyne species, and their purported hybrids, found high on the Mauna Kea volcano on the island of Hawai’i. The three distinct Hawaiian genera, Haplostachys, Phyllostegia, and Stenogyne, are nested inside a fourth genus, Stachys. We uncovered four independent polyploidy events within Stachys, including one allopolyploid hybridization event underlying the Hawaiian mints and their direct western North American ancestors. While the Hawaiian taxa may have principally diversified by parapatry, localized admixture may have played an important role early in lineage diversification. Our genomic analyses provide a view into how organisms have radiated on isolated island chains, a topic that provided one of the principal natural laboratories for Darwin’s thinking about the evolutionary process.
Climate Crisis Attitudes among Financial Professionals and Climate Experts
Authors: Kirchler Michael , König-Kersting Christian , Gsottbauer Elisabeth
Published: July 2023

To address this climate crisis, it is necessary to transform the economy with the finance industry taking a central role by implementing sustainable investment policies. We use an incentivized experiment to measure the willingness to forgo payout to curb greenhouse gas emissions and a survey to elicit attitudes and beliefs toward the climate crisis among finance professionals---key protagonists on financial markets---and climate experts---key protagonists providing scientific findings. We provide suggestive evidence that finance professionals have a lower willingness to curb greenhouse gas emissions, are less concerned about climate change, and are less supportive of carbon taxes compared to climate experts. We also show differences in motivations and priorities with finance professionals emphasizing economic and reputational considerations and climate experts prioritizing ecological and social consequences of the crisis. Our findings highlight the importance of financial incentives and reputational concerns in motivating finance professionals to address the climate crisis.
Diffusiophoresis promotes phase separation and transport of biomolecular condensates
Authors: Shin Sangwoo , Doan Viet Sang , Alshareedah Ibraheem , Singh Anurag , Banerjee Priya
Published: July 2023

The internal microenvironment of a living cell is heterogeneous and comprises a multitude of organelles with distinct biochemistry. Amongst them are biomolecular condensates, which are membrane-less, phase-separated compartments enriched in system-specific proteins and nucleic acids. The heterogeneity of the cell engenders the presence of multiple spatiotemporal gradients in chemistry, charge, concentration, temperature, and pressure. Such thermodynamic gradients can lead to non-equilibrium driving forces for the formation and transport of biomolecular condensates. Here, we report how ion gradients impact the transport processes of biomolecular condensates on the mesoscale and biomolecules on the microscale. Utilizing a microfluidic platform, we demonstrate that the presence of ion concentration gradients can accelerate the transport of biomolecules, including nucleic acids and proteins, via diffusiophoresis. This hydrodynamic transport process allows localized enrichment of biomolecules, thereby promoting the location-specific formation of biomolecular condensates via phase separation. The ion gradients further impart active motility of condensates, allowing them to exhibit enhanced diffusion along the gradient. Coupled with reentrant phase behavior, the gradient-induced active motility leads to a dynamical redistribution of condensates that ultimately extends their lifetime. Together, our results demonstrate diffusiophoresis as a non-equilibrium thermodynamic force that governs the formation and active transport of biomolecular condensates.
WITHDRAWN: Experimental investigation on Interrelation between hydraulic conductivity and Compressive strength of soft soil using metakaolin as stabilizer
Authors: Jangde Himanshu , Khan Farhan
Published: July 2023

The building industry requires method which improves the quality of the soil, if they want the foundation to be more durable and rigid. This is especially true for residential construction. Modifying clay soils with metakaolin (MK) has proven to be an effective method for stabilizing soil. This research examined the physiochemical properties of clay soil samples obtained from a construction site. After that, the specimens were treated with different concentrations of metakaolin (0%, 5%, 10%, and 15% by weight) and placed through a series of tests in the laboratory to determine their level of strength and hydraulic conductivity. The observations showed that the hydraulic conductivity significantly decreased after the incorporation of metakaolin into the clay soil. Compared to unaltered soil, the hydraulic conductivity of the soil decreased by about 70% for 15% metakaolin concentration. The establishment of metakaolin-hydrated calcium silicate gel (C-S-H) in the soil matrix results in an increased pore-filling impact and smaller pore dimensions, both of which contribute to a reduction in hydraulic conductivity. The Un-confined compressive strength (UCS) of the altered soil samples dramatically improved after MK was incorporated into the mix. The UCS of the samples increased by 75% after adding the 15% MK substance. The increase in UCS can be attributed to the pozzolanic interaction that takes place between MK and soil. This interaction results in the production of new saturated products, which contribute to an increase in the material's strength. The effect of the curing time on the altered soil characteristics was another aspect that was analyzed in this investigation. The authors found that soil faces continuous changes with extended curing time in strength and permeability due to the addition of MK, which is supported by the test results showing that permeability decreases and strength increases with increasing time of curing of treat-ed soil samples with MK. Which suggests that the process of modifying the soil was ongoing because the strength and hydraulic conductivity of the modified soil increased and decreased simultaneously with extended curing periods. In conclusion, MK has the ability to improve the resiliency of clay soil while simultaneously lowering its permeability. According to the results of this study, altering the MK of clay soil in order to improve its mechanical and hydrodynamic properties is a strategy that can be implemented success-fully and is both realistic and useful. The findings of the research can be utilized to enhance the planning and construction of geological structures such as embankments, dams, and retaining walls that are built on clay soil. This finding has significant repercussions for the construction industry because it paves the way for an alternative that is both workable and inexpensive to the earth-stabilization methods that are currently in use.
MSDMCCG: Design of an efficient Multimodal Satellite Data Processing Model for Component-level analysis of Contextual Geographic entities
Authors: Bhoi Rosy , Patel Ashok Kumar
Published: July 2023

This paper presents an efficient model for analysing contextual geographic entities in satellite data at a component level. The model utilizes various feature extraction techniques, including Fourier, Entropy, Wavelet, and Gabor, along with vegetation indices such as NDVI, SAVI, and EVI, to capture the multimodal characteristics of the satellite data. Classification operations are performed using a binary cascaded convolutional neural network (CNN), while incremental learning is facilitated through the Q-learning process. The proposed model offers a novel approach by combining different feature extraction methods, allowing for a comprehensive representation of satellite data. It employs the BCCNN, which exhibits high accuracy in identifying specific geographical features like land, forests, structures, and rivers. Additionally, by utilizing Q-learning for incremental learning, the model's accuracy can improve over time as new data becomes available. Evaluation of the model using an augmented cluster of datasets and samples demonstrated its ability to accurately identify contextual geographic entities with 99.5% accuracy, 98.5% precision, and 98.3% recall. This model holds promise for various applications, including environmental monitoring, disaster management, and urban planning.
The influence of intraseasonal oscillations on rainfall over Central Africa: Case of the 25 - 70 days variability
Authors: Tchinda Claudin Wamba , Sandjon Alain Tchakoutio , Tchotchou Angennes Lucie Djiotang , Siwe Audrick Nzeudeu , Vondou Derbetini Appolinaire , Nzekou Armand
Published: July 2023

The influence of intra-seasonal oscillations (ISO) on rainfall in Central Africa (CA) is assessed using the National Oceanic and Atmospheric Administration Climate Prediction Center daily gridded rainfall data. ISO indices are defined using the time series analysis of the first two principal components resulting from the empirical orthogonal function, applied to daily filtered outgoing longwave radiation. Based on these indices, a total of 71 strong Intraseasonal Events (SIEs) and 66 weak Intraseasonal Events (WIEs) were selected using threshold method. The results show that SIEs are associated with enhanced rainfall conditions over almost all the study area, while WIEs provide a meridional dipole-like rainfall pattern, consisting of increasing precipitation in the western part and decreasing in the eastern part of CA. The relationship with Madden-Julian Oscillation (MJO) was also examined. The positive rainfall anomalies associated with MJO phases progress eastward and are modulated by the 850 and 200 hPa horizontal wind. The circulation, linked to geopotential height anomalies at lower layers, tends to strengthen (reduce) the convective activity over the region. Uncentered pattern correlation was further used to assess the link between ISO and MJO phases. We found a correlation of 0.5 in precipitation anomalies between phases 1 and 2 of the MJO and the SIEs; -0.4 and -0.6 between phases 5 and 6 and the SIEs respectively. This result suggests a strong relationship between ISO events and MJO phases.
Continuous-time stochastic analysis of rumor spreading with multiple operations
Authors: Castella François , Sericola Bruno , Anceaume Emmanuelle , Mocquard Yves
Published: July 2023

In this paper, we analyze a new asynchronous rumor spreading protocol to deliver a rumor to all the nodes of a large-scale distributed network. This protocol relies on successive pull operations involving k different nodes, with k ≥ 2, and called k-pull operations. Specifically during a k-pull operation, an uninformed node a contacts k − 1 other nodes at random in the network, and if at least one of them knows the rumor, then node a learns it. We perform a detailed study in continuous-time of the total time Θk,n needed for all the n nodes to learn the rumor. These results extend those obtained in a previous paper which dealt with the discrete-time case. We obtain the mean value, the variance and the distribution of Θk,n together with their asymptotic behavior when the number of nodes n tends to infinity.
QAmplifyNet: Pushing the Boundaries of SupplyChain Backorder Prediction Using InterpretableHybrid Quantum–Classical Neural Network
Authors: Jahin Md Abrar , Shovon Md Sakib Hossain , Islam Md. Saiful , Shin Jungpil , Mridha M. F. , Okuyama Yuichi
Published: July 2023

Supply chain management relies on accurate backorder prediction for optimizing inventory control, reducing costs, andenhancing customer satisfaction. Traditional machine-learning models struggle with large-scale datasets and complexrelationships. This research introduces a novel methodological framework for supply chain backorder prediction, addressingthe challenge of collecting large real-world datasets. Our proposed model demonstrates remarkable accuracy in predictingbackorders on short and imbalanced datasets. We capture intricate patterns and dependencies by leveraging quantum-inspiredtechniques within the quantum-classical neural network QAmplifyNet. Experimental evaluations on a benchmark datasetestablish QAmplifyNet’s superiority over eight classical models, three classically stacked quantum ensembles, five quantumneural networks, and a deep reinforcement learning model. Its ability to handle short, imbalanced datasets makes it ideal forsupply chain management. We evaluate seven preprocessing techniques, selecting the best one based on Logistic Regression’sperformance on each preprocessed dataset. The model’s interpretability is enhanced using Explainable Artificial Intelligencetechniques. Practical implications include improved inventory control, reduced backorders, and enhanced operational efficiency. QAmplifyNet seamlessly integrates into real-world supply chain management systems, empowering proactive decision-makingand efficient resource allocation. Future work involves exploring additional quantum-inspired techniques, expanding thedataset, and investigating other supply chain applications. This research unlocks the potential of quantum computing insupply chain optimization and paves the way for further exploration of quantum-inspired machine learning models in supplychain management. Our framework and QAmplifyNet model offer a breakthrough approach to supply chain backorderprediction, offering superior performance and opening new avenues for leveraging quantum-inspired techniques in supply chain management.
A Systematic Review of Knowledge, Attitude, Practice And The Associated Factors Of Medication Error Among Registered Nurses.
Authors: Visvalingam Priscila Anesha , Hamid Assistant Prof Dr Shidqiyyah Abdul , Basha Assistant Prof Dr Muzaitul Akma Mustapha Kamal
Published: July 2023

Medication errors happen all over the world and can cause people real harm. To solve this problem, it is important to know what healthcare workers know, how they feel about medication errors, and what they do about them. The goal of this systematic review of the literature is to find and summarize the current data about the KAP of healthcare workers toward medication errors and related factors. Electronic sources like PubMed, Scopus, and Web of Science were thoroughly searched for applicable studies released between January 2013 and December 2023. There were a total of 31 studies looked at in this study. The results showed that healthcare workers have a middling amount of knowledge about medication errors, but this varies from country to country and specialty to specialty. Most people did not like the idea of medication errors, and the biggest reason they didn't tell them was fear of being sued. Doctors and nurses not following safety rules and not communicating to each other well enough often cause medication errors. Too much work, stress, and not enough training also is affected by medication safety habits. The results of this study show that to reduce the number of medication errors there needs to be more education, better communication and teamwork among healthcare workers, and the creation of processes that put medication safety first.
A Novel Predictive Trend Analytics of Rainfall Data in the North-Eastern Part of Visakhapatnam District, India
Authors: Kunchala Kalyani , G. Muni Reddy M. , Kapuganti Chitti Babu
Published: July 2023

The predictive trend analytic plays a crucial role in estimating the rainfall pattern that impacts on climate change, especially in water resource management. The cyclones and irregular monsoon patterns are two important resulting in unpredictable rainfall which affects the yield and cropping system in agriculture sector and shows major impact on other diversified sectors leading to negative impact on natural drainage system and urban habitation. The present study area is highly prone to cyclones and rainfall irregularities that show a greater impact in the Water management in the Northern part of Visakhapatnam. Present work focuses on the predictive trend analysis of the rainfall data for 38 years from 1982 to 2020 in the study area. By considering monthly, annually, seasonally, annual average rainfall data and a non-parametric analysis the total annual rainfall and seasonal rainfall is estimated using Mann Kendall and Sen’s slope trend analysis algorithms. The predictive calculation results shows that trend analysis performance of Mann Kendall and Sen’s slope values of positive and negative trends. Based on the results, it is predicted that the rainfall pattern in study area may be mostly irregular in nature with significant variability for the next few years also.
Reconciling equatorward migration of Southern Ocean fronts with minor ice volume change during Miocene cooling
Authors: Hou Suning , Stap Lennert , Paul Ryan , Nelissen Mei , Hoem Frida , Ziegler Martin , Sluijs Appy , Sangiorgi Francesca , Bijl Peter
Published: July 2023

A Miocene phase of gradual climate cooling and CO2 decline was recently shown not to be associated with major ice volume expansion, challenging a fundamental paradigm in the functioning of the Antarctic cryosphere. Here, we explore Miocene ice-ocean-climate interactions by presenting a multi-proxy reconstruction of subtropical front (STF) migration, bottom water temperature (BWT) and global ice volume change, using dinoflagellate cyst biogeography, benthic foraminiferal clumped isotopes, and sea surface temperature (SST) reconstructions from offshore Tasmania. We demonstrate a mid-late Miocene (16–9 Ma) equatorward migration (from ~53°S to ~42°S) and strengthening of the STF, concurrent with SST decline. We expand evidence for strong BWT decline and apparent absence of ice volume change into the late Miocene with new clumped isotope data. To reconcile these counterintuitive findings, we argue based on new, idealized ice sheet model simulations that the Miocene Antarctic ice sheet progressively lowered in height while expanding seawards during the mid-Miocene, to maintain a stable volume. This can only be achieved with rigorous intervention in model precipitation regimes and ice-ocean interactions and requires rethinking the interactions between ice-ocean and climate during Neogene cooling.
Why consumers have impulsive purchase behavior in live streaming: the role of the streamer
Authors: LI Xiaolin , Huang Dunhu , Dong Guofeng , Wang Bing
Published: July 2023

To explore the influencing factors of consumers' impulsive purchase behavior in live streaming, based on the Stimulus-Organism-Response framework, we construct the model of how streamers influence consumers' impulsive purchase behavior by consulting literature. Collected data by means of a questionnaire, and made an empirical study by using the structural equation model to explore the mechanism of streamer affecting consumers' impulsive purchase behavior. The results show that streamer characteristics (personal charisma, professionalism) and streamer performance (interactivity, entertainment) affect consumers' impulsive purchase behavior by affecting consumers' trust and flow experience. The empirical results have important theoretical and practical significance.
Bipolar neutrosophic WINGS for green technology innovation
Authors: Tian Yuan , Li Tianjian , Zhang Kecheng
Published: July 2023

Green technology innovation is a crucial assurance of achieving sustainable economic and environmental development, so improving the capability of green technology innovation is an urgent problem. In order to provide a more objective and accurate tool for identifying the most important impact factor of green technology innovation, this study innovatively proposes a new method by combining the bipolar neutrosophic sets with Weighted Influence Nonlinear Gauge System (WINGS) method. Furthermore, this paper intends to provide recommendations in improving green technology innovation capability. We invite five experts to evaluate fifteen factors influencing green technology innovation using the bipolar neutrosophic linguistic variables. Then, the proposed bipolar neutrosophic set WINGS (Bipolar NS-WINGS) method is applied to measure the influence of each impact factor of green technology innovation. Finally, we divide all the factors into cause group and effect group. Moreover, the network relation map is constructed to visualize the interrelationships between all impact factors. The Bipolar NS-WINGS suggests that Science and Technology Innovation Environment (Ω7) is the most important factor of green technology innovation. The result also indicates that R&D Investment (Ω8) is the most influential factor in which it has impacted many other factors. It is obvious that the integrated method not only enriches the research in the field of decision theory, which has not combined the bipolar-NS and WINGS method for analyzing relationships of factors, but also contributes to the improvement of green technology innovation capabilities.
Cancer Survivorship: Understanding the patients’ journey and perspectives on post-treatment needs
Authors: Hussey Conor , Hanbridge Moira , Dowling Maura , Gupta Ananya
Published: July 2023

Background: Cancer treatments have many adverse effects on patient’s health leading to poor cardiorespiratory capacity, muscular- degeneration, fatigue, loss of strength and physical function, altered body-composition, compromised immune-function, peripheral neuropathy, and reduced quality of life (QOL). Exercise programs can significantly increase functional capacity when tailored to individual needs, thus improving patients' health. Exercise interventions in cancer rehabilitation, when supported by appropriate nutrition can be effective in attaining a healthy weight and body-composition. The successful rehabilitation program should also include psycho-social education aimed to reduce anxiety and improve motivation. Several studies have outlined the need to develop rehabilitation-services to minimise the impact of cancer and to reduce future burden on the patient and on health services. A comprehensive service that can provide long-term support for cancer-survivors has not been established in Ireland.
Study aims: The current study aimed to identify the post-treatment needs of cancer patients including information on the barriers and expectations facing them, their caregivers and their families through consultation in focus group interviews. The information would serve as a guide for the development and evaluation of an individualised, adaptive, exercise program for physical rehabilitation of cancer survivors.
Methods: Cancer survivors living in the Republic of Ireland were recruited to study and invited to attend a focus group interview. The focus group discussions were designed to obtain information on the collective views of cancer survivors on relevant topics and the meanings that lie behind those views.
Results: 37 participants took part in 9 focus groups. Focus group transcripts were then subjected to a thematic framework analysis using NVivo. Our analysis uncovered two themes. The first theme ‘cast adrift with no direction’ was grouped into three sub-themes: everything revolves around treatment; panic and fear; and what exercise should I be doing? The second theme ‘everybody is different’ was clustered into two sub-themes: side effects get in the way; and personalized exercise program
Conclusion: The main findings of our study as illustrated by the thematic analysis shows that the patients have unmet post-treatment needs that can be broadly classified into (i) Information and support needs, (ii) Psycho-social needs, (iii) Physical needs and need for a “personalised” exercise programme. The study highlighted the lack of information and support that needed by patients in living with and beyond cancer. The study also highlighted effectiveness of a personalised exercise programme in the mitigation of long term symptoms and in improving QOL. There is an urgent need for design and delivery of such a programme through community based cancer centres.
Designing active chitosan-based biofilms loaded with the mixture of herbal essential oils and reinforced with nanofibers: Their effects on the shelf life and sensory properties of red meat
Authors: Jahed Eisa , Khaledabad Mohammad Alizadeh , Aziz Khalid Esmahil , Almasi Hadi , Hassanzadeh Hamed
Published: July 2023

Background: Designing the antimicrobial food packaging is needed for food protection and quality maintenance. In this research, active packaging based on chitosan biopolymer with antimicrobial properties has been prepared to investigate its effects on shelf life and sensory properties of red meat. Origanum vulgare subsp. gracile essential oil (GEO) and Carum copticum essential oil (CEO) compounds (as an antioxidant/antimicrobial substances) from the packaging material into red meat.
Results: According to the obtained results, it was found that the highest percentage of organic compounds identified in Carum copticum EO were related to carvacrol (43.94%), gamma-terpinene (26.86%), m-cymene (24.37%) and alpha-pinene (41.2%). The results showed that active films containing different ratios of EOs had high antimicrobial activity against E. coli and B. cereus bacteria, which were reduced by adding CNF and LCNF due to the role of controlling release of EO compounds.
Conclusion: Microbial evaluation of red meat pieces also showed that the use of edible film coating containing EO significantly reduced the growth rate of microorganisms compared to the uncoated sample. The evaluation of sensory properties of meat samples also showed that the nanocomposite film containing EO increased the shelf life of red meat for more than 20 days at refrigerator temperature due to its antimicrobial properties and favorable aroma.
Detection of Sybil & DDoS Attacks in VANET using Intelligent Technique
Authors: Bhanja Urmila , Majhi Ankit , Sahoo Smrutirekha , Parida Debapriya
Published: July 2023

Vehicular Adhoc network (VANET) are more prone to various types of attacks. Sybil attack is the most dangerous attack in vehicular adhoc network as it creates multiple fake identities and creates traffic congestion.Fake identities are used to enter the network illegally.On the other hand, distributed denial of service (DDoS) attack intentionally blocks the users from accessing any online services. It temporarily disrupts or interrupts the service of the hosting server. These types of attacks in VANET cause severe damage to vehicles, passengers travelling in the vehicles by inducing traffic congestion, and may also cause minor or fatal accidents.Hence, it is highly essential to early detect such attacks in VANET to protect the vehicles and human kind. In this work, a novel model is proposed using fuzzy logic controllers (FLCs) to detect both the Sybil and the DDoS attacks in VANET. Furthermore, performance of attack detection is also analysed and compared with the existing techniques. The proposed model yields better accuracy, sensitivity, and recall value compared to the existing techniques. Margin of error for the attack detection is also estimated for 95% of the confidence interval.
In vivo analysis of Porous Bioactive Silicon Carbide Scaffold for Craniofacial Bone Augmentation
Authors: Alfotawi Randa , Premnath Sangeetha , El-Ghannam Ahmad , Alsafadi Mona , Mahmood Amer
Published: July 2023

Bone augmentation is a vital area of research because of its high clinical demand and the reported complications associated with the available biomaterials.
Purpose: The study assess the role of decellurized skeletal muscle (DSM) when combined with synthesized porous bioactive silicon carbide (SiC) ceramic and evaluated its ability to augment calvarious bone at rat`s model. Material&
Methods: Eighteen rats were divided into two groups; Group 1 (n=9), SiC discs (10 mm x 0.2 mm) treated with 20% NaOH were placed as an onlay grafts on calvarial bone. Meanwhile, in Group 2 (n=9), SiC discs (10 mm x 0.2 mm)were covered with DSM. After 12 weeks, the grafted tissues were harvested and examined using cone-beam computed tomography (CBCT), mechanical testing, and histological analysis.
Results: CBCT showed more radio-opacity for the remnant of SiC compared to native bone was noted in group2 at surface area and volume o at 2.48mm2+/- (Sd=1.6) and 14.9+/-(Sd=7.8 )mm3 respectively. The estimated quantitative average surface area of the radio-opacity for group 1 and volume were 2.55 mm2+/- (Sd=3.7) and 11.25+/-(Sd=8.9), respectively. Mechanically, comparable values of the flexural strength and statistically significant higher modulus of elasticity of calvaria in Group 1 compared to Group 2 and control (P < 0.001). Histologically, group2 region of woven bone was seen close to the lamellar bone (native bone), and there was immature bone present near the implanted SiC.
Conclusion: The tested construct made of SiC/DSM has potential to osteointegrate into native bone, making it a suitable material for bone augmentation.
Prevalence and Risk Factors of Campylobacter Species from Cow Milk in Oromia Region, Ethiopia
Authors: Eshetu Adane , Sisay Tesfaye , Adimassie Abera , Vipham Jessie L. , Kovac Jasna , Zewdu Ashagrie
Published: July 2023

Campylobacter is one of the major causes of gastroenteritis and is commonly transmitted through the consumption of raw milk or improperly pasteurized milk. A cross-sectional study was conducted from January 2019 to March 2020 in four study sites in the Oromia region of Ethiopia to isolate, identify, and estimate the prevalence of Campylobacter species in milk samples and to determine their antibiotic susceptibility pattern. A total of 384 milk samples were randomly collected from raw milk (n = 192) from farmers and collectors and pasteurized milk (n = 192) from processors and retailers, and the isolation and identification of Campylobacter spp. were performed using standard bacteriological techniques and PCR. Of the total 384 milk samples, 35 (9.1%) were found positive for Campylobacter spp. The highest prevalence of Campylobacter spp. was found in collector raw milk (13.5%), followed by farmer raw milk (12.5%), and pasteurized milk (5.2%). The most prevalent Campylobacter spp. isolated from milk samples was C. jejuni (100%). The overall prevalence of Campylobacter in dairy value chains, including producer, collector, processor, and retailer, was 12.5%, 13.5%, 5.2%, and 5.2%, respectively. Cold storage, material type for making collection rooms, calibrating the pasteurizer machine, restricting milk handlers that are sick, means of transportation, and maintaining temperature during transportation had a statistically significant association. 100% and 8.6% of the Campylobacter isolates were sensitive to ciprofloxacin and chloramphenicol, respectively. However, all of the isolates were resistant to ampicillin, clindamycin, ox tetracycline, and trimethoprim. Moreover, 80% of the C. jejune were resistant to tetracycline and streptomycin. 26% of the species developed ciprofloxacin degradation.
Hence, there is a chance of acquiring infection via the consumption of raw or undercooked milk. Thus, the implementation of hygienic practices from the producer to the retailer's market, proper handling to avoid cross-contamination and proper pasteurization is very important in preventing Campylobacter infection.
Bone mineral density and muscle mass associated with healthy eating index in postmenopausal women; Results from RaNCD cohort study
Authors: Kamari Negin , Fateh Hawal Lateef , Pasdar Yahya , Rezaeian Shahab , Shakiba Ebrahim , Najafi Farid
Published: July 2023

Background
The Healthy eating index 2015 (HEI-2015) is a tool for checking the quality of diet. This index is used to examine how well people's dietary behavior fits certain criteria for achieving a healthy diet in Dietary Guidelines for Americans 2015–2020. We look at the possible association between the HEI-2015 and bone mineral density (BMD) and muscle strength in postmenopausal women.
Methods
This research included 1012 postmenopausal women from the recruitment phase of the Ravansar Noncommunicable Diseases (RaNCD) cohort study in Kermanshah-Iran. A standardized and repeatable food-frequency questionnaire (FFQ) that contains 118-item used to quantify dietary consumption. Anthropometric indices measured via Bio-Impedance Analyzer BIA (Inbody 770, Inbody Co, Seoul, Korea).
Result
The mean age of postmenopausal women was (56.41 ± 5.31) years. Participants in the highest quartile had a mode daily energy intake compared to the lowest quartile (2329.89 ± 837.59), (P < 0.001). Women in the upper quartiles had greater Skeletal Muscle Mass (SMM) than those in the lower quartiles (21.61 ± 2.80 vs 20.52 ± 3.13; p = 0.0002). The linear model results demonstrated a strong positive relationship between HEI score and greater BMD (P = 0.0014).
Conclusion
A diet of high quality followed by a high HEL-2015 score was shown to be strongly connected to increased BMD and muscle mass in Kurdish postmenopausal women.
Diagnostic value of vascular endothelial growth factor (VEGF) levels in gastrointestinal cancers with ascites – A cross sectional study
Authors: Samuel Evangeline Mary Kiruba , Sundaramurthi Sudharsanan , Hanumanthappa Nandeesha , NelamangalaRamakrishnaiah Vishnu Prasad
Published: July 2023

Introduction
Malignant ascites is suggestive of peritoneal carcinomatosis. The distinction between a malignant and non-malignant ascites in a patient with malignancy is important as it alters the management and prognosis. Current diagnostic methods are imaging, cytology and diagnostic laparoscopy, all of which have low sensitivities. The Vascular Endothelial Growth Factor (VEGF) is essential for tumour growth and hence, ascitic VEGF levels can be a method of diagnosis of malignant ascites.
Methods
This cross-sectional study was conducted in patients with gastrointestinal malignancies and ascites. The calculated sample size was 68 patients, who were divided into those who were truly positive and negative for malignant ascites based on a composite gold standard, comprising of cytology, CECT and laparoscopy. The ascitic VEGF levels in these patients were compared.
Results
A total of 84 patients were enrolled, out of which 60.71% were found to have truly malignant ascites. It was found that greater the volume of ascites, greater the statistical likelihood of finding truly malignant ascites. The ascitic VEGF levels had a non-normal distribution, with the median value being 783.64 and 41.12 pg/mL for malignant and non-malignant ascites(p < 0.001). Using a ROC Curve, a cut-off of 83.68pg/mL was obtained, with a sensitivity of 100% and a specificity of 93.94%.
Conclusion
This study demonstrates that ascitic VEGF levels is significantly elevated in patients with gastrointestinal malignancies and malignant ascites and hence can reliably be used for diagnosing malignant ascites. This study also shows that massive ascites and well-differentiated tumours have a higher rate of peritoneal carcinomatosis.
Magnetogravitational instability in strongly coupled rotating clumpy molecular clouds including heating and cooling functions
Authors: Dhiman Joginder Singh , Mahajan Mehak
Published: July 2023

The molecular clouds (MCs) formation is caused due to gravitational collapse mechanism and is significantly affected due to radiative heating and cooling processes. The paper analyzes the gravitational instability in the strongly coupled clumpy MCs, under the effects of uniform rotation, magnetic field, and heat-loss functions. The generalized hydrodynamic (GHD) equations coupled with the modified energy equation (which incorporates the heating and cooling effects due to cloud-cloud collisions) are used to describe the mathematical model. A general dispersion relation is analytically derived using the normal mode analysis method, by taking the orientations of the magnetic field and uniform rotation along the vertical direction. The Jeans criteria of gravitational instability are obtained for strongly and weakly coupling limits, which are modified due to the Coulomb coupling parameter, heat-loss functions, and viscoelastic coefficients. It is found that the value of the critical wavenumber decreases due to the strong coupling between the plasma particles (coupling parameter) and clump stirring processes (heating rate), thus both have stabilizing influence on the onset of gravitational collapse in clumpy MCs. The influence of various parameters on the growth rate of the instability is discussed numerically and it is found that the cooling rate parameter which described the cloud-cloud collisions shows the destabilizing effect. The region of instability is observed to be smaller in the strongly coupled clumps (kinetic limit) than in the weakly coupled (hydrodynamic limit) clumps. The results are helpful in understanding the role of heating and cooling mechanisms in the MCs formation.
A Comparative Study of Deterministic and Uncertain Area Coverage Strategies in WSNs
Authors: Boualem Adda , Runz Cyril , Ayaida Marwane
Published: July 2023

The advent of sensor networks offers the opportunity to track events, monitor areas, and prevent withnodes barriers any intrusion type in deterministic and uncertainenvironments. This paper presents a comparative study ofour proposed strategies to address deterministic and uncertaincoverage models. Consequently, the connectivity and lifetime toaddress current and future challenges of coverage in WSNs. Thisstudy provides a comparative case focusing on our works, (a)based on deterministic models, and on (b) uncertainty models,showing the shortcomings, strengths and weaknesses of eachmodel. Finally, in present and forthcoming new technologies, asome avenues for exploring coverage problems are cited.
General hyperstability criteria for Jensen-type equations
Authors: Dăianu Dan Marceliu
Published: July 2023

We provide two large classes of control functions that ensure the hyperstability of Jensen-type equations on restricted domains. Among other consequences, we obtain improvements on similar results known in the literature for some Aoki-Rassias-type control functions and hyperstability results for some equations whose solutions are Jensen functions compounded with radical-type functions or with trigonometric functions.
Mathematics Subject Classification (2010). Primary 39B82, 39B52; Secondary 39A70, 39B62, 39A10.