bluuebunny/crossref_metadata_2025_split huggingface dataset:
Targeted Delivery of Diphtheria Toxin into VEGFR1/VEGFR2 Overexpressing
Cells Induces Anti-angiogenesis Activity
Authors: Kazemi-Lomedasht Fatemeh , Taghizadeh-Hesary Farzad , Faal Zahra , Behdani Mahdi 
Published: March 2024

Background::
Vascular Endothelial Growth Factor Receptors (VEGFR1 and VEGFR2)
are tyrosine kinase receptors expressed on endothelial cells and tumor vessels and play an important
role in angiogenesis. In this study, three repeats of VEGFR1 and VEGFR2 binding peptide
(VGB3) were genetically fused to the truncated diphtheria toxin (TDT), and its in vitro activity
was evaluated.

Methods::
The recombinant construct (TDT-triVGB3) was expressed in bacteria cells and purified
with nickel affinity chromatography. The binding capacity and affinity of TDT-triVGB3 were
evaluated using the enzyme-linked immunosorbent assay. The inhibitory activity of TDT-triVGB3
on viability, migration, and tube formation of human endothelial cells was evaluated using MTT,
migration, and tube formation assays.

Results::
TDT-triVGB3 selectively detected VEGFR1 and VEGFR2 with high affinity in an enzyme-
linked immunosorbent assay and significantly inhibited viability, migration, and tube formation
of human endothelial cells.

Conclusion::
The developed TDT-triVGB3 is potentially a novel agent for targeting VEGFR1/
VEGFR2 over-expressing cancer cells.
Identification of Potential Inhibitors of Three NDM Variants of Klebsiella Species from Natural Compounds: A Molecular Docking, Molecular Dynamics Simulation and MM-PBSA Study
Authors: Neog Nakul , Puzari Minakshi , Chetia Pankaj 
Published: March 2024

Background:
Klebsiella species have emerged as well-known opportunistic pathogens
causing nosocomial infections with β-lactamase-mediated resistance as a prevalent antibiotic
resistance mechanism. The discovery and emergence of metallo-β-lactamases, mainly new-
Delhi metallo-β-lactamases (NDMs), have increased the threat and challenges in healthcare facilities.

Objective:
A computational screening was conducted using 570 natural compounds from Dr.
Duke’s Phytochemical and Ethnobotanical data to discover promising inhibitors for NDM-6,
NDM-9, and NDM-23 of the Klebsiella species.

Methods:
Using homology modeling on the Raptor-X web server, the structures of the three
NDM variants were predicted. The structures were validated using various computational tools
and MD simulation for 50 ns. Lipinski - Vebers’ Filter and ADMET Screening were used to
screen 570 compounds, followed by docking in Biovia Discovery Studio 2019 using the
CDOCKER module. GROMACS was used to simulate the compounds with the highest scores
with the proteins for 50 ns. Using the MM-PBSA method and g_mmpbsa tool, binding free energies
were estimated and per-residue decomposition analysis was conducted.

Results:
The three structures predicted were found stable after the 50 ns MD Simulation run.
The compounds Budmunchiamine-A and Rhamnocitrin were found to have the best binding
energy towards NDM-6, NDM-9, and NDM-23, respectively. From the results of MD Simulation,
MM-PBSA binding free energy calculations, and per-residue decomposition analysis, the
Protein-ligand complex of NDM-6 with Budmunchiamine A and NDM-9 with Rhamnocitrin
was relatively more stable than the complex of NDM-23 and Rhamnocitrin.

Conclusion:
The study suggests that Budmunchiamine-A and Rhamnocitrin are potential inhibitors
of NDM-6 and NDM-9, respectively, and may pave a path for in-vivo and in-vitro studies in
the future.
Bone Marrow-derived Mesenchymal Stem Cell Therapy in Retinitis
Pigmentosa
Authors: Ucgun Nil Irem , Zeki Fikret Cenk , Sahin Hamurcu Mualla 
Published: March 2024

Background::
To determine the effectiveness of bone marrow-derived mesenchymal
stem cell therapy on visual acuity and visual field in patients with retinitis pigmentosa.

Objective::
Stem cell treatment in retinitis pigmentosa provides improvement in visual acuity and
visual field.

Method::
Forty-seven eyes of 27 patients diagnosed with retinitis pigmentosa were included in our
study.
Allogeneic bone marrow-derived mesenchymal stem cells were administered by deep subtenon injection.
Complete routine ophthalmological examinations, optical coherence tomography (Zeiss,
Cirrus HD-OCT) measurements, and visual field (Humphrey perimetry, 30-2) tests were performed
on all patients before the treatment and on the 1st, 3rd, and 6th month after treatment. The
best corrected visual acuities of the patients were determined by the Snellen chart and converted
to logMAR. Visual evoked potential (VEP) and electroretinogram (ERG) examinations of the patients
before the treatment and on the 6th month after the treatment were performed (Metrovision)
data were compared.

Results::
Visual acuities were 0.74 ± 0.49 logMAR before treatment and 0.61 ± 0.46 logMAR after
treatment. Visual acuity had a statistically significant increase (p < 0.001). The visual field deviation
was found to be -27.16 ± 5.77 dB before treatment and -26.59 ± 5.96 dB after treatment (p
= 0.005). The ganglion cell layer was 46.26 ± 12.87 μm before treatment and 52.47 ± 12.26 μm after
treatment (p = 0.003). There was a significant improvement in Pattern VEP 120º P100 amplitude
compared to that before the treatment (4.43 ± 2.42 μV) and that after the treatment (5.09 ±
2.86 μV) (p = 0.013). ERG latency measurements were 18.33 ± 15.39 μV before treatment and
20.87 ± 18.64 μV after treatment for scotopic 0.01 (p = 0.02). ERG latency measurements for scotopic
3.0 were 20.75 ± 26.31 μV before treatment and 23.10 ± 28.60 μV after treatment (p =
0.014).

Conclusion::
Retinitis pigmentosa is a progressive, inherited disease that can result in severe vision
loss. In retinitis pigmentosa, the application of bone marrow-derived mesenchymal stem cells
by deep subtenon injection has positive effects on visual function. No systemic or ophthalmic side
effects were detected in the patients during the 6-month follow-up period
Current View on How Human Gut Microbiota Mediate Metabolic and Pharmacological Activity of Panax ginseng. A Scoping Review
Authors: Montagnani Monica , Potenza Maria Assunta , Corsalini Massimo , Barile Giuseppe , Charitos Ioannis Alexandros , De Giacomo Andrea , Jirillo Emilio , Colella Marica , Santacroce Luigi 
Published: March 2024

:
Panax ginseng is one of the most important remedies in ancient Eastern medicine. In
the modern Western world, its reputation started to grow towards the end of the XIX century,
but the rather approximate understanding of action mechanisms did not provide sufficient information for an appropriate use. Nowadays, Panax ginseng is frequently used in some pathological conditions, but the comprehension of its potential beneficial effects is still incomplete.
The purpose of this study is to highlight the most recent knowledge on mechanisms and effects
of ginseng active ingredients on the intestinal microbiota. The human microbiota takes part in
the immune and metabolic balance and serves as the most important regulator for the control of
local pathogens. This delicate role requires a complex interaction and reflects the interconnection with the brain- and the liver-axes. Thus, by exerting their beneficial effects through the intestinal microbiota, the active ingredients of Panax ginseng (glycosides and their metabolites)
might help to ameliorate both specific intestinal conditions as well as the whole organism's homeostasis.
A Deep Insight into Chemistry and Pharmacology of Genus Angelica.: An Up-to-date Systematic Review
Authors: Mishra A.K. , Paliwal S.K. 
Published: March 2024

Introduction:
Healthcare providers globally need plant-derived bioactive compounds for
the treatment of ailments. The present systematic review article emphasizes the chemistry and pharmacology
parts of various Angelica species, family Apiaceae. The species of Angelica genus, native
to the Indian Himalayan, are beneficial for several therapeutic and edible purposes. Aromatherapy
uses essential oils obtained from various species of the Angelica genus. The population of various
Angelica species is declining quickly due to premature destructive harvesting. The traditional medicinal
system involves Angelica glauca Edgew and other Angelica species to treat respiratory, Central
Nervous System (CNS) disorders and many more ailments.

Method:
An extensive literature survey on the chemistry and pharmacological aspects of various
Angelica species, including A. glauca, secondary metabolites, mechanism behind various pharmacological
activities, and marketed products of plants of Genus Angelica was conducted using scientific
databases. The search terms Angelica species, botanical description, wild Angelica, important phytoconstituents
and their pharmacological responses, plant parts used, and the molecular mechanism
behind observed prominent activities were used for data collection. In total, 92 publications were
included from year 1983 to 2023. Articles focusing on other than Angelica species and other than the
English language were excluded from the study. Also, the papers with no full-text availability were
excluded from the present study. Species of the Angelica genus have been known for a wide range of
biological activities, including antioxidant, anti-inflammatory, antimicrobial and immunotoxic.

Result:
The present paper highlights the secondary metabolites present in the Angelica species and
their scientific uses.
Ancient Ayurvedic treatise claims several other pharmacological activities, but scientific validation
of some indications, including the exact mechanism of action, is underway.

:
Ancient Ayurvedic treatise claims several other pharmacological activities, but scientific validation
of some indications, including the exact mechanism of action, is underway.

Conclusion:
This review compiles 30 years of data on Angelica species related to their phytochemistry,
pharmacology, molecular mechanisms of bioactivity, recent advancements and possible future
scope of applied and translational research.
A Deep Learning Framework for IoT Lightweight Traffic
Multi-classification: Smart-cities
Authors: Mudarakola Lakshmi Prasad , Bukkarayasamudram Vamshi Krishna , Jadhav Swati Dhondiram , Goviraboyina Soma Sekhar , Sharma Swati , Mukherjee Saptarshi , Reddy Pundru Chandra Shaker 
Published: March 2024

Aim and Background:
Increased traffic volume is a major challenge for effective network
management in the wake of the proliferation of mobile computing and the Internet of Things
(IoT). Earlier models surrender efficiency to achieve high-precision classification outcomes, which
are no longer fitting for limited assets in edge network circumstances, making traffic classification
a difficult task for network administrators everywhere. Given the nature of the problem, the current
state of the art in traffic classification is characterized by extremely high computational complexity
and large parameters.

Methodology:
To strike a clever balance between performance and size, we present a deep learning
(DL)-based traffic classification model. We begin by decreasing the amount of model parameters
and calculations by modifying the model's scale, width, and resolution. To further improve the capability
of feature extraction at the traffic flow level, we secondly incorporate accurate geographical
information on the attention mechanism. Thirdly, we get multiscale flow-level features by employing
lightweight multiscale feature fusion.

Results:
The results of our experiments demonstrate that our model has high classification accuracy
and efficient operation. Our study presents a traffic categorization model with an accuracy of over
99.82%, a parameter reduction of 0.26M, and a computation reduction of 5.26M.

Conclusions:
Therefore, this work offers a practical design used in a genuine IoT situation, where
IoT traffic and tools' profiles are anticipated and classified while easing the data dispensation in the
higher levels of an end-to-end communication strategy.
Histaminergic System and Vestibular Function in Normal and
Pathological Conditions
Authors: Tighilet Brahim , Trico Jessica , Marouane Emna , Zwergal Andreas , Chabbert Christian 
Published: March 2024

Abstract::
Most neurotransmitter systems are represented in the central and peripheral vestibular system
and are thereby involved both in normal vestibular signal processing and the pathophysiology of
vestibular disorders. However, there is a special relationship between the vestibular system and the
histaminergic system. The purpose of this review is to document how the histaminergic system interferes
with normal and pathological vestibular function. In particular, we will discuss neurobiological
mechanisms such as neuroinflammation that involve histamine to modulate and allow restoration of
balance function in the situation of a vestibular insult. These adaptive mechanisms represent targets of
histaminergic pharmacological compounds capable of restoring vestibular function in pathological situations.
The clinical use of drugs targeting the histaminergic system in various vestibular disorders is
critically discussed.
Functional Impairment in Individuals Exposed to Violence Based on Electronical Forensic Medical Record Mining and Their Profile Identification: Controlled Observational Study
Authors: Lerner Ivan , Chariot Patrick , Lefèvre Thomas 
Published: March 2024

Background
Little is known about the functional consequences of violence when directly assessed as a primary outcome, and even less about how consistently these consequences are evaluated in a judicial context. The World Health Organization (WHO) highlighted the importance of a functional approach to health in 2001 with the release of the International Classification of Functioning, Disability, and Health (ICF). In most European countries, forensic physicians assess individuals exposed to violence to evaluate the outcomes of violence, providing certified medical evidence for magistrates’ sentencing decisions. This evaluation involves a mix of objective, subjective, and contextual elements, such as reported symptoms of fear, pain, and details of the assault. Quantifying these subjective elements with scales could enhance their interpretation and application in a judicial context.

Objective
This study aims to (1) characterize and (2) assess 6 scales measuring subjective elements of functional impairment among individuals exposed to violence.

Methods
We conducted a retrospective study that included individuals exposed to violence examined in a French department of forensic medicine over 12 months. A typology of violence encountered in medical settings was built based on the mining of electronic health records and the use of pattern recognition algorithms. The optimal number of violence types was determined using a robust and stable clustering approach, involving sample resampling and a multimetric scheme. Patients were then paired according to their homogeneous profiles, and the intra- and interrater reproducibility of the scales was evaluated.

Results
All pain, fear, and life threat scales were significantly associated with higher functional impairment, suggesting that these measures contribute to the overall assessment of functional impairment. The intra- and interrater reproducibility of scales among similar situations of violence was measured, ranging from mild to good, with coefficients of concordance between 0.46-0.66 and 0.43-0.66, respectively. Individuals reporting intimate partner violence showed higher scores in both fear and perception of a life threat during the assault and medical interview, while individuals reporting battery by multiple unknown assailants presented higher scores only in perception of a life threat during the assault. We identified 5 remarkably stable profiles of situations of violence, consistent with clinical practice.

Conclusions
Pain, fear, and life threat scales were related to functional impairment according to expert knowledge and demonstrated fair reproducibility under real-life conditions for similar situations of violence. Subjective elements related to functional impairment in individuals exposed to violence can be quantified using Likert scales during medical interviews.
An Ecological Mobile Momentary Intervention to Support Dynamic Goal Pursuit: Feasibility and Acceptability Study
Authors: O'Driscoll Ciarán , Singh Aneesha , Chichua Iya , Clodic Joachim , Desai Anjali , Nikolova Dara , Yap Alex Jie , Zhou Irene , Pilling Stephen 
Published: March 2024

Background
Individuals can experience difficulties pursuing their goals amid multiple competing priorities in their environment. Effective goal dynamics require flexible and generalizable pursuit skills. Supporting successful goal pursuit requires a perpetually adapting intervention responsive to internal states.

Objective
The purpose of this study was to (1) develop a flexible intervention that can adapt to an individual’s changing short to medium-term goals and be applied to their daily life and (2) examine the feasibility and acceptability of the just-in-time adaptive intervention for goal pursuit.

Methods
This study involved 3 iterations to test and systematically enhance all aspects of the intervention. During the pilot phase, 73 participants engaged in an ecological momentary assessment (EMA) over 1 month. After week 1, they attended an intervention training session and received just-in-time intervention prompts during the following 3 weeks. The training employed the Capability, Opportunity, Motivation, and Behavior (COM-B) framework for goal setting, along with mental contrasting with implementation intentions (MCII). Subsequent prompts, triggered by variability in goal pursuit, guided the participants to engage in MCII in relation to their current goal. We evaluated feasibility and acceptability, efficacy, and individual change processes by combining intensive (single-case experimental design) and extensive methods.

Results
The results suggest that the digital intervention was feasible and acceptable to participants. Compliance with the intervention was high (n=63, 86%). The participants endorsed high acceptability ratings relating to both the study procedures and the intervention. All participants (N=73, 100%) demonstrated significant improvements in goal pursuit with an average difference of 0.495 units in the outcome (P<.001). The results of the dynamic network modeling suggest that self-monitoring behavior (EMA) and implementing the MCII strategy may aid in goal reprioritization, where goal pursuit itself is a driver of further goal pursuit.

Conclusions
This pilot study demonstrated the feasibility and acceptability of a just-in-time adaptive intervention among a nonclinical adult sample. This intervention used self-monitoring of behavior, the COM-B framework, and MCII strategies to improve dynamic goal pursuit. It was delivered via an Ecological Momentary Intervention (EMI) procedure. Future research should consider the utility of this approach as an additional intervention element within psychological interventions to improve goal pursuit. Sustaining goal pursuit throughout interventions is central to their effectiveness and warrants further evaluation.
Updated Surveillance Metrics and History of the COVID-19 Pandemic (2020-2023) in Europe: Longitudinal Trend Analysis
Authors: Lundberg Alexander L , Wu Scott A , Soetikno Alan G , Hawkins Claudia , Murphy Robert L , Havey Robert J , Ozer Egon A , Moss Charles B , Welch Sarah B , Mason Maryann , Liu Yingxuan , Post Lori A 
Published: March 2024

Background
In this study, we built upon our initial research published in 2020 by incorporating an additional 2 years of data for Europe. We assessed whether COVID-19 had shifted from the pandemic to endemic phase in the region when the World Health Organization (WHO) declared the end of the public health emergency of international concern on May 5, 2023.

Objective
We first aimed to measure whether there was an expansion or contraction in the pandemic in Europe at the time of the WHO declaration. Second, we used dynamic and genomic surveillance methods to describe the history of the pandemic in the region and situate the window of the WHO declaration within the broader history. Third, we provided the historical context for the course of the pandemic in Europe in terms of policy and disease burden at the country and region levels.

Methods
In addition to the updates of traditional surveillance data and dynamic panel estimates from the original study, this study used data on sequenced SARS-CoV-2 variants from the Global Initiative on Sharing All Influenza Data to identify the appearance and duration of variants of concern. We used Nextclade nomenclature to collect clade designations from sequences and Pangolin nomenclature for lineage designations of SARS-CoV-2. Finally, we conducted a 1-tailed t test for whether regional weekly speed was greater than an outbreak threshold of 10. We ran the test iteratively with 6 months of data across the sample period.

Results
Speed for the region had remained below the outbreak threshold for 4 months by the time of the WHO declaration. Acceleration and jerk were also low and stable. While the 1-day and 7-day persistence coefficients remained statistically significant, the coefficients were moderate in magnitude (0.404 and 0.547, respectively; P<.001 for both). The shift parameters for the 2 weeks around the WHO declaration were small and insignificant, suggesting little change in the clustering effect of cases on future cases at the time. From December 2021 onward, Omicron was the predominant variant of concern in sequenced viral samples. The rolling t test of speed equal to 10 became insignificant for the first time in April 2023.

Conclusions
While COVID-19 continues to circulate in Europe, the rate of transmission remained below the threshold of an outbreak for 4 months ahead of the WHO declaration. The region had previously been in a nearly continuous state of outbreak. The more recent trend suggested that COVID-19 was endemic in the region and no longer reached the threshold of the pandemic definition. However, several countries remained in a state of outbreak, and the conclusion that COVID-19 was no longer a pandemic in Europe at the time is unclear.