bluuebunny/crossref_metadata_2025_split huggingface dataset:
Revolutionizing Agriculture: A Comprehensive Review of Artificial Intelligence Techniques in Farming
Authors: Kashyap Gautam Siddharth , Kamani Prerna , Kanojia Malvika , Wazir Samar , Malik Karan , Sehgal Vinay Kumar , Dhakar Rajkumar 
Published: February 2024

Abstract
Artificial Intelligence (AI) is a relatively new branch of information technology. It is one of the pillars of many industrial innovations, as well as a critical component in supporting and advancing them. There are numerous studies and innovations that employ AI techniques in a variety of fields. AI has played an important role in agriculture, healthcare, education, finance, governance, and other fields. This paper attempts to highlight studies that used AI techniques in agriculture, as this is a complex topic in itself. Agriculture is important to the global economy. In this regard, the demand for adequate and safer agricultural methods has increased over the last 21 years. AI-powered solutions can establish a model in farming while also increasing crop yield and quality. This paper provides a thorough examination of the AI techniques used in agriculture. In this paper, we present 77 papers from the last 21 years that take a variety of approaches but all revolve around the concept of AI. Furthermore, this research will enable the researchers to investigate both AI techniques and the agricultural field.
Co-registration of MALDI-MSI and histology demonstrates gangliosides co-localize with amyloid beta plaques in Alzheimer’s disease.
Authors: Ollen-Bittle Nikita , Pejhan Shervin , Pasternak Stephen H. , Keene C. Dirk , Zhang Qi , Whitehead Shawn N. 
Published: February 2024

Abstract

Alzheimer’s disease (AD) is a progressive neurological condition characterized by impaired cognitive function and behavioural alterations. While AD research historically centered around mis-folded proteins, advances in mass spectrometry techniques have triggered increased exploration of the AD lipidome with lipid dysregulation emerging as a critical player in AD pathogenesis. Gangliosides are a class of glycosphingolipids enriched within the central nervous system. Previous work has suggested a shift in a-series gangliosides from complex (GM1) to simple (GM2 and GM3) species may be related to the development of neurodegenerative disease. Additionally, complex gangliosides with 20 carbon sphingosine chains have been shown to increase in the aging brain. In this study, we utilized matrix assisted laser desorption ionization mass spectrometry imaging (MALDI-MSI) to interrogate the in situ relationship of a-series gangliosides with either 18 or 20 carbon sphingosine chains (d18:1 or d20:1 respectively) in the post-mortem human AD brain. Here, we expanded upon previous literature and demonstrated a significant decrease in the GM1 d20:1:GM1 d18:1 ratio in regions of the dentate gyrus and entorhinal cortex in AD relative to control brain tissue. Then we demonstrated that the MALDI-MSI profile of GM3 co-localizes with histologically confirmed amyloid beta (Aβ) plaques and found a significant increase in both GM1 and GM3 in proximity to Aβ plaques. Collectively these results support past literature and demonstrate a perturbation of the ganglioside profile in AD. Moreover, this work validates a pipeline for MALDI-MSI and classic histological staining in the same tissue sections. This demonstrates feasibility for integrating untargeted mass spectrometry imaging approaches into a digital pathology framework.
Output gap, Business cycles and Countercyclical monetary policy: Empirical evidence from the CEMAC zone and the Bank of Central African States (BEAC)
Authors: Taty Jeremy 
Published: February 2024

Abstract
In this paper, we study business cycles and countercyclical monetary policy in the Economic and Monetary Community of Central Africa (CEMAC) for the post-devaluation period.
Data.We use annual data between 1998 and 2022 on real GDP (in constant 2015 US$) from (WDI, IMF) and the monetary policy rate of the Central Bank (BEAC).
Methodology. The methodology is based on the Hodrick-Prescott framework, a non-parametric method widely used in applied macroeconomics to assess the potential trend in GDP and the components of business cycles. We shall use the framework of Ravn and Uhlig (2002) to calibrate the smoothing parameter (λ) as a function of the frequency of observations.
Findings. (i) Considering the four phases of the business cycle (expansion, peak, trough, recovery) common to the literature, the longest business cycle according to our estimates over the period in the CEMAC zone lasts between 8 and 9 years, from 2003 to 2011. (ii) We found that the CEMAC zone has a slightly negative mean output gap (zero) due to asymmetric shocks. The proportion of negative shocks is slightly higher than positive shocks on average, indicating a continued economic slowdown (CEMAC States are more vulnerable to external shocks due to a lack of diversification in the growth structure and a high dependence on commodities such as oil, which is an extremely volatile market). Similarly, negative shocks to output could reflect the sluggishness and slackness of the labour market and especially the high unemployment figures often highlighted in CEMAC States. (iii) We have diagnosed countercyclical monetary policy post devaluation and found that, despite the exchange rate anchor framework (non-autonomous monetary policy), the BEAC tends to respond effectively to trends in the cyclical components of economic activity in the CEMAC zone by adjusting the monetary policy rate (at least for the gap and inflationary pressures), but with less impact on labour market. Greater economic convergence and better policy coordination between the CEMAC countries and the BEAC are more than necessary to guarantee the effectiveness of counter-cyclical policies, whether monetary or fiscal.
JEL Classification : C14 ; E32 ; E52 ; E58 ; O55
Mott transition and pseudogap of the square-lattice Hubbard model: Results from center-focused cellular dynamical mean-field theory
Authors: Meixner Michael , Menke Henri , Klett Marcel , Heinzelmann Sarah , Andergassen Sabine , Hansmann Philipp , Schäfer Thomas 
Published: February 2024

The recently proposed center-focused post-processing procedure [Phys. Rev. Res. 2, 033476 (2020)] of cellular dynamical mean-field theory suggests that central sites of large impurity clusters are closer to the exact solution of the Hubbard model than the edge sites. In this paper, we systematically investigate results in the spirit of this center-focused scheme for several cluster sizes up to 8×8 in and out of particle-hole symmetry. First we analyze the metal-insulator crossovers and transitions of the half-filled Hubbard model on a simple square lattice. We find that the critical interaction of the crossover is reduced with increasing cluster sizes and the critical temperature abruptly drops for the 4×4 cluster. Second, for this cluster size, we apply the center-focused scheme to a system with more realistic tight-binding parameters, investigating its pseudogap regime as a function of temperature and doping, where we find doping dependent metal-insulator crossovers, Lifshitz transitions and a strongly renormalized Fermi-liquid regime. Additionally to diagnosing the real space origin of the suppressed antinodal spectral weight in the pseudogap regime, we can infer hints towards underlying charge ordering tendencies.
Efficacy and Safety Analysis of Botox Application and Iatrogenic Botulism:
Panacea or Peril?
Authors: Karcioglu Ozgur , Akman Canan , Atnis Ilknur 
Published: February 2024

Abstract:
Clostridium botulinum toxin-A (BoNT-A) creates temporary paralysis in the muscles by acting on
the muscle-nerve junction. It is injected into the mimic muscles when a decrease in the movements of the mimic
muscles is desired. Despite many favorable applications, the use of BoNT-A is not without drawbacks. Although
there is no expected serious side effect on health in BoNT-A treatments, various problems can be encountered
in patients treated for aesthetic purposes. Botulism is a rare but potentially life-threatening syndrome,
which is caused by the toxin produced by the bacterium Clostridium botulinum, which acts on the nervous
system, vegetative forms of C. botulinum can only survive in anaerobic conditions, while spore forms are
common in nature and can withstand harsh conditions. Botulism can stem from bacterial spores which release
toxin in the body; in the form of enteric botulism, and wound botulism. The cases that develop ‘iatrogenic botulism’
after such procedures are usually those receiving high-dose toxin for therapeutic purposes. The treatment
of botulism mainly consists of anti-toxin therapy and, if necessary, intensive care to prevent organ failures,
including respiratory support. This article aims to cover all these issues related to botulism and other adverse
outcomes related to BoNT-A injection in light of the most recent literature.
Synthetic Approaches for Pyranoquinolines: A Concise Review
Authors: Arboleda Angie D. , Moreno Leydi M. , Abonia Rodrigo 
Published: February 2024

Abstract:
The pyranoquinoline frameworks have a wide distribution in natural products
and have displayed a great amplitude of biological activities, attracting the attention of
synthetic and medicinal chemists due to their usefulness in agrochemical and pharmaceutical
industries. Among the twenty possible isomeric pyranoquinoline frameworks, research
reports for only six of them that were found during the period of time covered in this review
article (i.e. 2000 to 2023). According to the literature reports during this frame of
time, the synthesis of pyranoquinoline derivatives was achieved by following three general
synthetic approaches [i.e. (i) via multicomponent cyclizations (MCC), (ii) via bimolecular
cyclizations (BMC) and via intramolecular cyclizations (IMC)], mediated by catalyst-free
conditions or by diverse environmentally friendly catalysts, in which mechanistic proposal
was discussed for several of such processes. Additionally, various obtained pyranoquinoline derivatives reported
in this review were subjected to diverse biological evaluations, such as Parkinson´s and Alzheimer´s diseases,
as antibacterials, antifungals, and anticancer drugs, among others, indicating the promising biological potential
of this class of heterocyclic structure.
Effect of Calebin-A on Critical Genes Related to NAFLD: A
Protein-Protein Interaction Network and Molecular Docking Study
Authors: Mahmoudi Ali , Hajihasani Mohammad Mahdi , Majeed Muhammed , Jamialahmadi Tannaz , Sahebkar Amirhossein 
Published: February 2024

Background::
Calebin-A is a minor phytoconstituent of turmeric known for its activity
against inflammation, oxidative stress, cancerous, and metabolic disorders like Non-alcoholic fatty liver disease(NAFLD). Based on bioinformatic tools. Subsequently, the details of the interaction of critical proteins with Calebin-A were investigated using the molecular docking technique.

Methods::
We first probed the intersection of genes/ proteins between NAFLD and Calebin-A
through online databases. Besides, we performed an enrichment analysis using the ClueGO plugin
to investigate signaling pathways and gene ontology. Next, we evaluate the possible interaction of
Calebin-A with significant hub proteins involved in NAFLD through a molecular docking study.

Results::
We identified 87 intersection genes Calebin-A targets associated with NAFLD. PPI network analysis introduced 10 hub genes (TP53, TNF, STAT3, HSP90AA1, PTGS2, HDAC6,
ABCB1, CCT2, NR1I2, and GUSB). In KEGG enrichment, most were associated with Sphingolipid, vascular endothelial growth factor A (VEGFA), C-type lectin receptor, and mitogen-activated protein kinase (MAPK) signaling pathways. The biological processes described in 87 intersection genes are mostly concerned with regulating the apoptotic process, cytokine production,
and intracellular signal transduction. Molecular docking results also directed that Calebin-A had a
high affinity to bind hub proteins linked to NAFLD.

Conclusion::
Here, we showed that Calebin-A, through its effect on several critical genes/ proteins
and pathways, might repress the progression of NAFLD.
Association Between Cannabis Use and Subjective Cognitive Decline:
Findings from the Behavioral Risk Factor Surveillance System (BRFSS)
Authors: Chen Zhi , Wong Roger 
Published: February 2024

Background::
Cannabis consumption has rapidly increased in the United States due to
more states legalizing non-medical and medical use. There is limited research, however, investigating
whether cannabis may be associated with cognitive function, particularly across multiple dimensions
of cannabis use.

Objective::
The objective of this study was to examine whether cannabis consumption reason, frequency,
and method are associated with subjective cognitive decline (SCD).

Methods::
Data were obtained from 4,744 U.S. adults aged 45 and older in the 2021 Behavioral
Risk Factor Surveillance System (BRFSS). SCD was a self-reported increase in confusion or memory
loss in the past year. Odds of SCD by cannabis use reason, frequency, and methods (e.g.,
smoke, eat, vaporize) were examined using multiple logistic regression after imputing missing data,
applying sampling weights, and adjusting for sociodemographic, health, and substance use covariates.

Results::
Compared to non-users, non-medical cannabis use was significantly associated with 96%
decreased odds of SCD (aOR=0.04, 95% CI=0.01-0.44, p<.01). Medical (aOR=0.46, 95%
CI=0.06-3.61, p=.46) and dual medical and non-medical use (aOR=0.30, 95% CI=0.03-2.92,
p=.30) were also associated with decreased odds of SCD, although not significant. Cannabis consumption
frequency and method were not significantly associated with SCD.

Conclusion::
The reason for cannabis use, but not frequency and method, is associated with SCD.
Further research is needed to investigate the mechanisms that may contribute to the observed associations
between non-medical cannabis use and decreased odds of SCD.
Short Fragmented Peptides from Pardachirus Marmoratus Exhibit
Stronger Anticancer Activities in In Silico Residue Replacement and
Analyses
Authors: Wong Yong Hui , Lee Sau Har 
Published: February 2024

Background:
Cancer is a worldwide issue. It has been observed that conventional therapies
face many problems, such as side effects and drug resistance. Recent research reportedly used
marine-derived products to treat various diseases and explored their potential in treating cancers.

Objective:
This study aims to discover short-length anticancer peptides derived from pardaxin 6
through an in silico approach.

Methods:
Fragmented peptides ranging from 5 to 15 amino acids were derived from the pardaxin
6 parental peptide. These peptides were further replaced with one residue and, along with the original
fragmented peptides, were predicted for their SVM scores and physicochemical properties.
The top 5 derivative peptides were further examined for their toxicity, hemolytic probability, peptide
structures, docking models, and energy scores using various web servers. The trend of in silico
analysis outputs across 5 to 15 amino acid fragments was further analyzed.

Results:
Results showed that when the amino acids were increased, SVM scores of the original
fragmented peptides were also increased. Designed peptides had increased SVM scores, which
was aligned with previous studies where the single residue replacement transformed the non-anticancer
peptide into an anticancer agent. Moreover, in vitro studies validated that the designed peptides
retained or enhanced anticancer effects against different cancer cell lines. Interestingly, a decreasing
trend was observed in those fragmented derivative peptides.

Conclusion:
Single residue replacement in fragmented pardaxin 6 was found to produce stronger
anticancer agents through in silico predictions. Through bioinformatics tools, fragmented peptides
improved the efficiency of marine-derived drugs with higher efficacy and lower hemolytic effects
in treating cancers
Apigenin Bioisosteres: Synthesis and Evaluation of their Antioxidant, Antimicrobial, and Anticancer Activities
Authors: Gupta Juhi , Thombre Kalyani , Gupta Krishna , Umekar Milind 
Published: February 2024

:
A novel series of Apigenin bioisosteres [1(4-chlorophenyl)-3-phenyl prop-2-ene-1-one]
non-cyclic derivatives (4a-4c) and [7-hydroxy-2-phenyl-4H-chromen-4-one] cyclic derivatives (9a-
9d) were synthesized. The newly synthesized apigenin bioisosteres were confirmed using UV, IR,
NMR, and mass spectroscopic methods. The antioxidant, antibacterial, and anti-cancer activities of all
newly synthesized compounds were assessed using the DPPH free radical scavenging capacity, disc
diffusion method, and in vitro MTT assay on the human breast cancer MCF-7 cell line. Almost all the
synthesized apigenin bioisosteres had greater antioxidant and antimicrobial activity than standard
Apigenin. Out of seven compounds (4a-4c and 9a-9d), five compounds were found to exhibit notable
antiproliferative activity on the breast cancer cell line (MCF-7), whereas two compounds, 9c and 9d,
did not show notable activity. Our analysis suggests that synthesized Apigenin bioisosteres function
as prospective antioxidant, antimicrobial, and anticancer agents.
Peripheral Microvascular Dysfunction in Children and Adults with
Congenital Heart Disease: A Literature Review
Authors: Vanreusel Inne , Hens Wendy , Craenenbroeck Emeline Van , Berendoncks An Van , Segers Vincent F.M. 
Published: February 2024

Abstract:
Although there is a continually growing number of patients with congenital heart disease
(CHD) due to medical and surgical advances, these patients still have a poorer prognosis
compared to healthy individuals of similar age. In patients with heart failure, microvascular dysfunction
(MVD) has recently emerged as a crucial modulator of disease initiation and progression.
Because of the substantial pathophysiological overlap between CHD and heart failure induced
by other etiologies, MVD could be important in the pathophysiology of CHD as well.
MVD is believed to be a systemic disease and may be manifested in several vascular beds. This
review will focus on what is currently known about MVD in the peripheral vasculature in CHD.
Therefore, a search on the direct assessment of the vasodilatory capacity of the peripheral microcirculation
in patients with CHD was conducted in the PubMed database. Since there is little data
available and the reported studies are also very heterogeneous, peripheral MVD in CHD is not
sufficiently understood to date. Its exact extent and pathophysiological relevance remain to be
elucidated in further research.
Magnetite Reduced Graphene Oxide/Ordered Mesoporous Carbon Nanocomposite as Effective Adsorbent for Removal of 2-Naphthol in Wastewater
Authors: Chaltash Fatemeh , Chekin Fereshteh , Vahdat Seyed Mohammad 
Published: February 2024

Background:The wastewater released from various industries contains substantial amounts of organic compounds such as dyes and naphthols. However, naphthols are toxic to the environment and human health. So, it is essential to eliminate them, which will contribute to manufacturing and environmental management.Methods:In the work, an eco-friendly method is adapted to synthesize reduced graphene oxide (rGO) using Equisetum arvense plant extract as a strong reducing and stabilizing agent. Then, a hybrid nano adsorbent based on rGO and ordered mesoporous carbon (CMK-3) decorated with iron oxide nanoparticles (Fe3O4@rGO/CMK-3) was prepared as an adsorbent. We investigate the performance of Fe3O4@rGO/CMK-3 to remove 2-naphthol (2-NP).Results:The FE-SEM images exhibited spherical magnetite nanoparticles with sizes ranging from 31 to 47 nm on composite. Efficient removal (90%) of 2-NP from aqueous solution is demonstrated using high surface area Fe3O4@rGO/CMK-3 (initial concentration of 2-NP: 10 mg mL-1, pH: 5.0, time: 30 min, and amount of adsorbent dosage: 3 mg mL-1). The high surface area of Fe3O4@rGO/CMK-3, hydrogen binding, π-π stacking interaction between the benzene rings of 2-NP and graphitic skeleton of hybrid adsorbent facilitate the adsorption of 2-NP on the Fe3O4@rGO/CMK-3. The 2NP removal capacity by (Fe3O4@rGO/CMK-3) showed a significant decrease during five successive cycles.Conclusions:These results promise the potential of high surface area (Fe3O4@rGO/CMK-3) for efficient removal of 2-NP for wastewater treatment.
Effect of Ground on V-folding Flexible Kapton-based Antenna
Authors: Ayyala Kishore Ajay Kumar , Thakur Atul , Thakur Preeti , Prasad Mani S. 
Published: February 2024

Introduction:
In this paper, we explore the world of flexible patch antennas,
specifically focusing on their horizontal V-folding percentages. The folding of these antennas
plays a crucial role in the realm of wireless communication.

Methods:
Our V-folding antenna is ingeniously crafted for seamless communication with
objects featuring sharp curves. What sets our study apart is the exploration of the effects of Vfolding
percentages on the current distribution, a novel approach. We closely monitored the
surface current distribution of the V-folded antenna, considering the percentage-wise impact
along with the influence of the ground plane. Delving deeper, we scrutinized changes in ground
plane size and drew comparisons between a standard ground and a resized one in the context of
the V-folded patch antenna.

Results:
The resized ground plane outshone its normal counterpart, exhibiting superior
performance. With the normal ground, the FPA operated at 1.42 GHz and 4.485 GHz. Postresizing
the ground, it showcased commendable stability in retaining the V-folding frequency
shift.

Conclusion:
Crafting the antenna's structure was a meticulous process accomplished through
the use of CST Microwave Studio software, and we validated our design using a vector
network analyzer.
MAPEAMENTO DAS PESQUISAS NACIONAIS SOBRE AUTORREGULAÇÃO DA APRENDIZAGEM MATEMÁTICA
Authors: Pereira de Lima Ediane , Torisu Edmilson Minoru 
Published: February 2024

Este artigo tem como objetivo analisar pesquisas sobre a Autorregulação da Aprendizagem Matemática no contexto nacional. A base de dados da pesquisa foi o Banco de Dissertações e Teses da Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), considerando os estudos no período de 2007 a 2023. Foram selecionados 15 estudos, de 2007 a 2019. Não foram encontrados estudos após essa data. Os conteúdos e as habilidades matemáticas abordadas nas pesquisas englobam resolução de problemas, cálculo, estatística, interpretação e matemática financeira. Identificaram-se poucas pesquisas sobre AA no contexto específico da Matemática e não se percebeu um crescimento significativo na área. Ainda há muito a ser explorado, sobretudo se o desejo é de que a educação no Brasil seja um caminho para possibilitar a formação de estudantes autônomos, criativos e proativos.