bluuebunny/crossref_metadata_2025_split huggingface dataset:
Emerald Horizons: A Bibliometric Analysis of Green Marketing's Evolutionary Trajectory
Authors: Kumar Vikas 
Published: January 2024

Abstract
Researchers' interest in green marketing is growing as a result of the movement in enterprise and consumer behavior toward environmental sustainability. By analyzing the diverse national and international scientific papers in the relevant field, an attempt has been made to detect current patterns in its progress and to assess future research potential in this area. This research provides a bibliometric analysis of the green marketing literature from 1990 to 2022. The bibliometric package in R software and VOS viewer was used to analyze the data. Scopus database containing 1,240 documents from 1990 to 2022 was used. The outcomes provide a structured picture and highlight that there is lots of room for more integrative research on green marketing because green marketing is a long-lasting economic trend, and it is indeed critical to look at further aspects of it.
Recommendation Model with Fusion of Heterogeneous Graph Neural Networks and Attention Mechanisms
Authors: Whitman Leona , Reyes Emiliano , Hurst Fletcher 
Published: January 2024

Abstract
Traditional recommendation systems, particularly those based on collaborative filtering, have exhibited robust performance by harnessing the advantages of big data. In these systems, the essence lies in identifying users whose interests closely align with a target user and subsequently recommending items that align with their preferences, showcasing commendable effectiveness in delivering personalized suggestions. Traditional recommender algorithms based on Graph Neural Networks (GNNs) face limitations as they can only handle regular topological graphs composed of a single type of node. However, in contemporary networks, data is often not exclusively comprised of a singular node type. Additionally, conventional GNNs are constrained to incorporating only first-order neighbor features of nodes, lacking the ability to capture deeper structural relationships within the network. Consequently, when dealing with sparse datasets where nodes have very few neighbors, the recommendation quality of algorithms based on traditional GNNs significantly diminishes. To address the aforementioned limitations, this paper proposes a deep recommendation model that combines Graph Neural Networks (GNNs) with heterogeneous networks. By integrating GNNs with heterogeneous network structures, the aim is to overcome the challenges posed by single-node type limitations and the inability to capture deeper structural relationships in traditional recommendation algorithms.
The G36S, M147I, G265S, T568I, N852S new mutations in the Spike of Omicron JN.1 subvariants: New subvariants JN.1.1 to JN.1.5 nomenclature and oligonucleotides design for JN.1 subvariants detection
Authors: CHAKRABORTY ASIT KUMAR 
Published: January 2024

Abstract
The JN.1 omicron coronavirus spread is havoc. Recently, few old people were died following JN.1 infections with co-morbidity. We are tracking the new mutation profiles of JN.1, JN.2 and JN.3 coronaviruses in the database to predict the newer mutations in the spike that could be important for virus entry in the lung cells. The SARS-CoV-2 sequences deposited on 12th January, 2024 by Opentrons P and Howard D were analyzed in a pilot scale. The new spike mutations in the JN.1 variants were found as: G36S (accession no. PP115250), M147I (accession no. PP116273), T568I (accession no. PP115301) and N852S (PP106538). The role of such mutations located outside the RBD region of spike was not known but NH2-terminal deletions (24LPP, 69HV, 143VYY) and insertions (17MPLF, 147RWMD) were allowed in different omicron variants. BLASTP search with G36S-peptide produced six identical sequences deposited by four independent US investigators with spike 17MPLF insertion and L452S mutation but new T568I (OR941013) and N852S (PP106538) spike mutations were found. BLASTP search with T568I-peptide gave 25 identical sequences deposited by eight independent US investigators demonstrating T568I mutation in the spike was authentic. Multi-alignment of those spike detected T568I mutation but PP030032 sequence had no 17MPLF insertion and PP051563 sequence had no L452S mutation being pre-JN.1 lineages. Similarly, M147I-peptide produced seven 100% similarity sequences. But the sequences OR082643, OR985352 and OR833719 had no L452S mutation and PP029920 had no 17MPLF insertion being pre-JN.1 variants whereas PP077772, PP016544 and OR976328 appeared authentic JN.1 and G265S spike mutation in PP106544 was new. The new mutations detected in the ORF1ab polyprotein nsp3 protein were: E1559K and T1998A mutations (accession no. PP116246) and S2500F mutation (accession no. PP116233). Thus, characterized JN.1 RefSeq sequences with L452S mutation plus other new mutation in the spike were given JN.1.1 to JN.1.5 subvariants nomenclature and variant specific oligonucleotides were made for their detection after WGS. However, selection with JN.1-S-L452S-oligo and JN.123-S-MPLF-oligo must be done first and then other oligonucleotides will be used to select JN.1.1. to JN.1.5 subvariants. The T568I mutation spread suggested such spike interacted with ACE-2 receptor better similar to N501Y and D614G mutated spike whereas both dominant mutations were also appeared in JN.1.
Multivariate adaptive regression splines-assisted approximate Bayesian computation for calibration of complex hydrological models
Authors: Ma Jinfeng , Li Ruonan , Zheng Hua , Li Weifeng , Rao Kaifeng , Yang Yanzheng , Wu Bo 
Published: January 2024

AbstractApproximate Bayesian computation (ABC) relaxes the need to derive explicit likelihood functions required by formal Bayesian analysis. However, the high computational cost of evaluating models limits the application of Bayesian inference in hydrological modeling. In this paper, multivariate adaptive regression splines (MARS) are used to expedite the ABC calibration process. The MARS model is trained using 6,561 runoff simulations generated by the soil and water assessment tool (SWAT) model and subsequently replaces the SWAT model to calculate the objective functions in ABC and multi-objective evolutionary algorithm (MOEA). In experiments, MARS can successfully reproduce the runoff time series simulations of the SWAT model at a low time cost, with a runoff variance determination coefficient of 0.90 as compared to the Monte Carlo method. MARS-assisted ABC can quickly and accurately estimate the parameter distributions of the SWAT model. The comparison of ABC with non-Bayesian MOEAs helps in the selection of an appropriate calibration approach.
Green synthesis and characterization of copper nanoparticles (CuNPs) and composites (CuC) using the Echinochloa pyramidalis extract and their application in the remediation of PAHsin water
Authors: Akpanudo Nyeneime William , Olabemiwo Ojeyemi Matthew 
Published: January 2024

Abstract

In this study, we synthesized copper nanoparticles and nanocomposites (i.e. copper-based) using different parts of Echinochloa pyramidalis plant. The products were applied to remove seven types of PAHs identified in bitumen seepage water through adsorption. Phytochemical screening of the plant indicated phenol, tannin and saponins, which supported their ability to convert CuSO4·5H2SO4 to copper nanoparticles. Nanocomposites were also produced from the nanoparticles obtained from the respective parts of the plant. They were characterized using X-ray diffractometer (XRD), Brunauer -Emmett -Teller (BET), Fourier transformed infrared spectrophotometer (FTIR), ulraviolet visible spectrophotometer (UV), scanning electron microscope (SEM) and transmission electron microscope (TEM). We observed pore size characteristics describing microporous and mesoporous dimensions for the nanoparticles and the corresponding composites, respectively. Based on UV-visible analysis, bandgaps ranging from 3.16 to 3.40 eV were observed for the nanoparticles. The nanoparticles from the leaf, stem and root showed average crystallite sizes of 0.1623, 0.1582 and 0.2145 nm, respectively, and showed comparative d-spacing parameters. The root-, stem- and leaf-based nanoparticles exhibited adsorption removal efficiencies ranging from 74.32 to 81.70, 74.28 to 83.45 and 76.34 to 83.98%, respectively. However, the nanocomposites of the leaf, stem and root showed better efficiencies defined by the following ranges: 79.93–83.86, 79.16–83.49 and 83.23–84.01%, respectively.
Pretreatment of hypersaline and high-organic wastewater with a three-dimensional electrocatalytic system: a pilot-scale study
Authors: Fang Chengyi , Xie Shiwei , Xiao Tian , Liu Zhi , Hong Hui , Gong Shuyi , Liu Xixiang 
Published: January 2024

Abstract

The three-dimensional electrocatalytic oxidation (3DEO) is a promising electrochemical system in the treatment of refractory wastewater, but still far from large-scale applications. In this work, we prepared 146.5 Kg Ti-Sn-Sb@γ-Al2O3 particle electrodes to construct a 3DEO system for the pretreatment of hypersaline and high-organic wastewater in an industrial park sewage plant, with activated carbon particle electrodes as a comparison. The average COD removal rates of Ti-Sn-Sb@γ-Al2O3 and activated carbon-based 3DEO systems were 24.43 and 48.73%, respectively, and the energy consumption of the two 3DEO systems were 102.8 and 31.4 kWh/Kg COD, respectively. However, compared to the negligible enhancement of wastewater biodegradability in the activated carbon 3DEO system, the Ti-Sn-Sb@γ-Al2O3 3DEO system greatly improved the biochemical index (B/C) from 0.021 to 0.166 (by 690.5%). Due to its superior catalytic capacity, Ti-Sn-Sb@γ-Al2O3 outperforms activated carbon in improving biodegradability as the latter relies mainly on adsorption. The results of this work provide a 3DEO engineering practice experience on the pretreatment of hypersaline and high-organic wastewater.
Advances in Aerogels Formulations for Pulmonary Targeted Delivery of
Therapeutic Agents: Safety, Efficacy and Regulatory Aspects
Authors: Verma Shristy , Sharma Pramod Kumar , Malviya Rishabha , Das Sanjita 
Published: January 2024

:
Aerogels are the 3D network of organic, inorganic, composite, layered, or hybrid-type
materials that are used to increase the solubility of Class 1 (low solubility and high permeability)
and Class 4 (poor solubility and low permeability) molecules. This approach improves systemic
drug absorption due to the alveoli's broad surface area, thin epithelial layer, and high vascularization.
Local therapies are more effective and have fewer side effects than systemic distribution
because inhalation treatment targets the specific location and raises drug concentration in the
lungs.

:
The present manuscript aims to explore various aspects of aerogel formulations for pulmonary
targeted delivery of active pharmaceutical agents. The manuscript also discusses the safety, efficacy,
and regulatory aspects of aerogel formulations. According to projections, the global respiratory
drug market is growing 4–6% annually, with short–term development potential. The proliferation
of literature on pulmonary medicine delivery, especially in recent years, shows increased
interest.

:
Aerogels come in various technologies and compositions, but any aerogel used in a biological
system must be constructed of a material that is biocompatible and, ideally, biodegradable. Aerogels
are made via "supercritical processing". After many liquid phase iterations using organic
solvents, supercritical extraction, and drying are performed. Moreover, the sol-gel polymerization
process makes inorganic aerogels from TMOS or TEOS, the less hazardous silane. The resulting
aerogels were shown to be mostly loaded with pharmaceutically active chemicals, such as
furosemide-sodium, penbutolol-hemisulfate, and methylprednisolone. For biotechnology, pharmaceutical
sciences, biosensors, and diagnostics, these aerogels have mostly been researched.
Although aerogels are made of many different materials and methods, any aerogel utilized in a
biological system needs to be made of a substance that is both biocompatible and, preferably,
biodegradable.

:
In conclusion, aerogel-based pulmonary drug delivery systems can be used in biomedicine and
non-biomedicine applications for improved sustainability, mechanical properties, biodegradability,
and biocompatibility. This covers scaffolds, aerogels, and nanoparticles. Furthermore, biopolymers
have been described, including cellulose nanocrystals (CNC) and MXenes. A safety
regulatory database is necessary to offer direction on the commercialization potential of aerogelbased
formulations. After that, enormous efforts are discovered to be performed to synthesize an
effective aerogel, particularly to shorten the drying period, which ultimately modifies the efficacy.
As a result, there is an urgent need to enhance the performance going forward.
Submaximal Field Walking Tests Applied in the Cardiopulmonary Assessment in Congenital Heart Diseases: A Systematic Review
Authors: da Silva Amanda , Puel Alexia Nadine , Moretto Priscilla , Gonzáles Ana Inês , Sonza Anelise 
Published: January 2024

Introduction:
Submaximal field walking tests are easy to apply and low cost, but it is
necessary to standardize their application, especially in the pediatric population. The feasibility
and its use in patients with congenital heart disease have been studied. The goal of this study was
to verify which are the submaximal field walking tests applied in the cardiopulmonary assessment
of children and adolescents with CHD and to verify if they are being performed as recommended
by the standardization protocols/guidelines.

Methods:
Literature review through a search in six electronic databases, structured in PICO format,
without date restrictions. Looking for studies that used submaximal field walking tests in children
and adolescents with congenital heart disease aged 5 to 18 years. Methodological quality, effectiveness
and safety and risk of bias were assessed.

Results:
Five studies met the eligibility criteria with a sample of 160 individuals with congenital
heart disease, and all used the six-minute walk test. Note that different methodologies and modifications
are used. Only the clinical trial showed good methodological quality.Four studies had low
risk of bias and one study had moderate risk.

Conclusion:
Although the six-minute walk test is the only test used as a field test found in our research,
there is no standardization in the application of the test, making it difficult to compare the
results. In this sense, reducing the limitations and heterogeneity in the application of the test will
enable more concrete outcomes and facilitate their reproduction in clinical practice.
Antidepressant-induced Paradoxical Anxiety, Akathisia, and Complex
Vocal Tics in a Patient with Panic Disorder and Crohn’s Disease: A Case
Report
Authors: HK Koh Azriel , Loh Soon Shan , Lim Leslie 
Published: January 2024

Background:
Antidepressant-induced paradoxical anxiety is a fairly common phenomenon
seen in patients who are initiated on antidepressants. However, akathisia is a very uncommon
manifestation of antidepressants. Much more rarely, antidepressants are also associated
with the emergence of motor and vocal tics. This case adds to the growing literature of rare adverse
events induced by antidepressants and aims to stimulate future research into the mechanism
and risk factors of this phenomenon.

Case Presentation:
In this case report, we describe a patient with panic disorder and co-morbid
Crohn’s disease who developed worsening anxiety, akathisia and vocal tics upon initiation of
fluvoxamine. This is the first case report to describe the emergence of both akathisia and vocal
tics in the same patient following antidepressant initiation. After discontinuation of fluvoxamine,
the patient’s symptoms resolved.

Conclusion:
Antidepressant-induced akathisia and tics are often distressing both to the patient
and their loved ones, and they can be very puzzling to the clinician. It is important for clinicians
to recognise that, although rare, antidepressants can have the adverse effects of akathisia and tics
in patients. When these symptoms arise, it should prompt immediate discontinuation of the offending
antidepressant.
Targeting the Key Signaling Pathways in Breast Cancer: From Molecular
Mechanism to Therapeutic Interventions
Authors: Singh Deepika , Sahoo Ankit 
Published: January 2024

Abstract:
Breast cancer is a public health issue in developing and developed countries. Nowadays, the concept of BCSC (breast cancer stem cell) is gaining popularity among oncology researchers. The breast cancer stem cell is a tiny cell fraction inside the tumor mass that shows
features that look like stem cells that are implicated in the genesis, recurrence, and metastasis of
breast cancer tumors. Extracellular cues, mutations, and epigenetic control all contribute to the
intricacy of gene expression control in Breast cancer stem cells. Thus, signaling pathways identified in breast cancer are Hedgehog and NOTCH, signal transducer and transcription 3, wingless-type MMTV integration site family (Wnt)/-catenin, and nuclear factor-kappa B, particularly
connected with a phenotype of stem cell. Furthermore, the tumor microenvironment, such as
hypoxic regions, can impact these BCSCs. Various approved signaling pathway targeted molecules have been patented, which show protective effects against breast cancer and have been
used in clinical uses. PARP inhibitors are found to be very useful in the treatment of breast cancer. Promoting studies on the molecular pathways underlying the development of cancer in
breast cancer patients was one of the main objectives of this study topic. The objective of this
review Topic was to discover new intrinsic and extrinsic molecular pathways. Research focusing on novel signaling pathways that may lead to novel treatments or identifying patients at-risk
of not responding to standard therapy approaches were the areas of focus we highlighted. The
paper covers the linkage between breast cancer stem cells and cellular signaling, the tumor microenvironment in BC, and the relevance of signaling pathways and their therapeutic interventions. The review also covered patent applications associated with these signaling pathways and
their prospects.
Effective Hybrid Deep Learning Model of GAN and LSTM for Clustering
and Data Aggregation in Wireless Sensor Networks
Authors: Hemalatha K. , Amanullah M. 
Published: January 2024

Background:
Wireless Sensor Networks (WSNs) have emerged as a crucial technology
for various applications, but they face a lot of challenges relevant to limited energy resources, delayed
communications, and complex data aggregation. To address these issues, this study proposes
novel approaches called GAN-based Clustering and LSTM-based Data Aggregation (GCLD) that
aim to enhance the performance of WSNs.

Methods:
The proposed GCLD method enhances the Quality of Service (QoS) of WSN by leveraging
the capabilities of Generative Adversarial Networks (GANs) and the Long Short-Term Memory
(LSTM) method. GANs are employed for clustering, where the generator assigns cluster assignments
or centroids, and the discriminator distinguishes between real and generated cluster assignments.
This adversarial learning process refines the clustering results. Subsequently, LSTM networks are
used for data aggregation, capturing temporal dependencies and enabling accurate predictions.

Results:
The evaluation results demonstrate the superior performance of GCLD in terms of delay,
PDR, energy consumption, and accuracy than the existing methods.

Conclusion:
Overall, the significance of GCLD in advancing WSNs highlights its potential impact
on various applications.
Nanorevolution Unleashing the Power of Nanotechnology
Authors: Shastri Divyesh H. , Gandhi Shivani 
Published: January 2024

:
Nanotechnology, the manipulation of matter at the nanoscale, has been an extraordinary
scientific frontier that has revolutionized various fields, with one of the most promising applications
being in the realm of medicine. Nanomedicine, an interdisciplinary field at the intersection
of nanotechnology and medicine, holds tremendous potential to transform the landscape of
healthcare, diagnosis, and treatment. This abstract delves into the burgeoning advancements of
nanotechnology in nanomedicine, highlighting its significance, potential benefits, and ethical considerations.

:
The primary focus of nanomedicine is to engineer and utilize nanoscale materials, such as nanoparticles
and nanostructures, to improve the effectiveness and precision of medical interventions.
Nano-sized drug delivery systems can target specific cells or tissues, enhancing therapeutic outcomes
and reducing side effects. These nanocarriers can penetrate biological barriers and accumulate
at disease sites, enabling more efficient drug delivery and increasing the bioavailability of
therapeutic agents. Furthermore, nanotechnology has opened new horizons in medical imaging.
Nanoparticles can be engineered to be responsive to certain diseases or conditions, providing valuable
information for early detection and precise diagnosis. Novel contrast agents based on nanomaterials
have the potential to revolutionize imaging techniques, offering higher sensitivity and
specificity, ultimately leading to improved patient outcomes.

:
Beyond diagnostics and drug delivery, nanotechnology is fostering breakthroughs in regenerative
medicine. Nanomaterials can act as scaffolds, guiding tissue repair and promoting cellular regeneration.
By harnessing the unique properties of nanoscale materials, tissue engineering, and organ
transplantation may witness unparalleled advancements, bringing hope to countless patients
awaiting life-saving treatments. However, the unprecedented potential of nanomedicine also raises
ethical concerns that demand careful consideration. As nanotechnology progresses, concerns
about the safety of nanomaterials, potential toxicity, and long-term effects must be addressed to
ensure responsible and sustainable development.
Relevansi pemahaman nirmana terhadap kemampuan penyusunan ruang tepat guna dalam desain interior
Authors: Wulandari Dwi , Halim Muhammad Arsyad , Firmansyah Rizki , Astuti Melina Yuni , Tranggana Wisnu Lintang 
Published: January 2024

Perancangan ruang dalam atau yang biasa disebut desain interior bertujuan untuk memecahkan masalah manusia dalam menciptakan tatanan ruang beserta elemen-elemen pendukungnya. Dalam menghasilkan desain interior yang tepat guna, banyak desainer yang kurang memperhatikan sisi artistik keindahan visual dalam desain dan hanya membuat desain secara standar sesuai dengan kebutuhan saja. Yang dianggap dapat mempengaruhi hal tersebut yaitu kurangnya pemahaman desainer tentang prinsip komposisi nirmana sebagai pengetahuan dasar dalam seni rupa yang dapat diterapkan dalam penataan ruang interior. Artikel ini bertujuan untuk menganalisis relevansi antara pemahaman prinsip komposisi nirmana terhadap kemampuan desain interior. Menggunakan metode analisis systematic literature review, ditemukan bahwa nirmana merupakan dasar acuan dan pengetahuan tentang kepekaan dalam keindahan atau artistik secara visual. Unsur visual yang berada dalam desain interior di antaranya adalah titik, garis, bidang dan ruang. Unsur-unsur tersebut perlu dirancang dengan prinsip seperti harmoni, kesatuan, keseimbangan, proporsi dan irama. Penggunaan dan cara penyusunan elemen desain interior yang tepat memberikan kesan emosional dan suasana kepada pengguna ruang. Memahami dan mampu menerapkan komposisi nirmana dapat memberi pengaruh yang besar terhadap kemampuan desain interior.