bluuebunny/crossref_metadata_2025_split huggingface dataset:
Smart Hospital Patient Monitoring System Aided by Edge-Fog-Cloud Continuum: A Performability Evaluation Focusing on Distinct Sensor Sources
Authors: Rocha Francisco , Nogueira Bruno , Gonçalves Glauber , Silva Francisco Airton 
Published: November 2023

Abstract

The variety of sensors for health monitoring helps professionals in the field make decisions. For certain clinical conditions, it is interesting to monitor the patient's health after discharge. Wearable health monitoring devices (smartwatches) can send data to the hospital. However, to monitor many patients (external and internal), a resilient and high-performance computing infrastructure is required. Such characteristics require high monetary cost equipment. This paper presents an SPN (Stochastic Petri Net) model for evaluating the performance and performability of a multi-tier hospital system architecture (edge-fog-cloud). The model allows you to evaluate the Mean Response Time (MRT), resource utilization level (U), and probability of data loss (DP). A very specific characteristic is to consider two data sources (internal and external). Performance metrics are evaluated in two scenarios based on varying the number of containers for simultaneous processing in the cloud and fog. The model evaluates performability of the MRT metric over the variation of parameters that have the greatest influence on availability (container MTTF) and performance (cloud processing capacity).
Performance and Programmability of GrPPI for Parallel Stream Processing on Multi-Cores
Authors: Garcia Adriano Marques , Griebler Dalvan , Schepke Claudio , García José Daniel , Muñoz Javier Fernández , Fernandes Luiz Gustavo 
Published: November 2023

Abstract

GrPPI library aims to simplify the burdening task of parallel programming. It provides a unified, abstract, and generic layer while promising minimal overhead on performance.
Although it supports stream parallelism, GrPPI lacks an evaluation regarding representative performance metrics for this domain, such as throughput and latency.
This work evaluates GrPPI focused on parallel stream processing.
We compare the performance, memory usage, and programmability of GrPPI against handwritten parallel code.
For this, we use the benchmarking framework SPBench to build custom GrPPI benchmarks and benchmarks with handwritten parallel code using the same backends supported by GrPPI.
The basis of the benchmarks is real applications, such as Lane Detection, Bzip2, Face Recognizer, and Ferret.
Experiments show that while performance is competitive with handwritten code in many cases, the infeasibility of fine-tuning GrPPI is a crucial drawback.
Despite this, programmability experiments estimate that GrPPI has the potential to reduce by about three times the development time of parallel applications.
Quantum Information Geometry with the non-Hermitian systems
Authors: Tao Hong , Peng Zhao-Hui , Lu Wangjun 
Published: November 2023

Abstract

geometry is the application of differential geometry in statistics, where the Fisher-Rao metric serves as the Riemannian metric on the statistical manifold, providing an intrinsic property for parameter sensitivity. In this paper, we explore the Fisher-Rao metric with the non-Hermitian systems. By approximating the Lindblad master equation in the non-Hermitian Hamiltonian, we calculate the time evolution of the quantum geometric metric. Finally, we give an example of the quantum spin Ising model of the imaginary magnetic field, explore the energy spectrum of PT-symmetric Hamiltonian and the evolution of geometric metric, and discuss that the dissipative effect of the imaginary magnetic field can be eliminated under the condition of adding the control Hamiltonian, so as to improve the accuracy of parameter estimation.
Neural Network Based Denoising of Regional Seismic Waveforms and Impact on Analysis of North Korean Nuclear Tests
Authors: Steinberg Andreas , Gaebler Peter , Hartmann Gernot , Lehr Johanna , Pilger Christoph 
Published: November 2023

Abstract

We test a deep learning based denoising autoencoder algorithm on regional and teleseismic seismological and hydroacoustic datasets, which we compile from the International Monitoring System of the Comprehensive Nuclear-Test-Ban Treaty Organisation. We focus on stations which can be relevant to investigate North Korean nuclear tests. Denoising of waveform records using autoencoder techniques potentially enables improved signal detection and processing due to lowered signal-to-noise ratios.
We train and compare the performance of several different denoising autoencoder models, for short- and long waveform periods, trained on the complete station network as well as on individual stations. We investigate if the denoised waveform signals are useful for seismic source analysis and if they can still be reliably used in downstream analysis for further inferences on the seismic source type, i.e. seismic moment tensor analysis. The declared North Korean nuclear tests are a suitable benchmark test set, as they have extensively been researched and their source type and location might be assumed known. Verification of the source type is of particular interest for potential nuclear tests under international law.
We find that care needs to be taken using the denoised waveform data, as a slight bias is introduced in the seismic moment tensor analysis. However we also find promising results hinting at possible future use of the technique for standard analyses, as it improves the investigation of smaller events. Autoencoder based denoising techniques could be employed in future routine frameworks to increase earthquake catalog completeness and possibly aid in detecting smaller potential treaty relevant events.
Integrated assessment of flood and drought hazards for current and future climate in a tributary of the Mekong river basin
Authors: Penny Jessica , Khadka Dibesh , Babel Mukand , Alves Priscila , Djordjević Slobodan , Chen Albert S. , Loc Ho Huu 
Published: November 2023

Abstract
Projecting floods and droughts characteristics under climate change is important to formulate an integrative management plan and enhance resiliency of society. However, studies that provide the integration of floods-drought hazards are scarce within literature. This study assessed flood and drought hazards separately and together for future climate in the Mun River basin, a tributary of the Mekong river. A non-modelling and multi-variate approach was used to assess flood and drought hazard respectively. Climate model ensemble suggests that the area under ‘high’ and ‘very high’ drought hazard level will increase from 27% and 4% during baseline period (1981–2010) to 43% and 37%, respectively, during near-future period (2021–2050). Similarly, an increase in ‘high’ and ‘very high’ flood hazard from 11% and 22% during baseline period to 16% and 24% during near-future period is projected. When both hazards are considered together, the total hazard is projected to increase by 155% in the near-future period. 76% of the catchment during the near future period will have combined hazard level from ‘medium’ to ‘very high’ compared to the 30% during the baseline period. The research presents a grim outlook on for the basin, with the area at risk from both hydro-meteorological hazards.
Hydrogeochemical–geophysical investigations of groundwater quality and susceptibility potential in Ikot Ekpene–Obot Akara Local Government Areas, Southern Nigeria
Authors: Ekanem Aniekan Martin , Udosen Ndifreke I. 
Published: November 2023

Abstract

Groundwater contamination is of global concern. The study area (Ikot Ekpene–Obot Akara Local Government Areas) continues to experience a swift increase in human population and associated economic activities, leading to the generation of more waste. The fundamental goal of this work is therefore to weigh up the groundwater standard through hydrogeochemical investigation of groundwater samples and the susceptibility potential of the economically exploited aquifer units in the area. The results of the electrical geo-sounding data acquired at 28 locations in the area reveal three to four lithological successions comprising fine/coarse sands and gravels amid patches of thin clay interbeddings at several places. The primary aquifer is the third layer, which is between 10.5 and 101.5 m deep with resistivity values between 359.4 and 2,472.8 Ωm. The hydrogeochemical evaluation of groundwater samples in the area shows that the measured physicochemical parameters are well within the World Health Organization's acceptable limits except for lead and nickel ions. The groundwater quality and susceptibility potential maps generated seem to correlate well and clearly demarcate the poor groundwater quality/high susceptibility potential zones. These maps are useful tools that could aid policymakers in successful groundwater management in the area to meet the needs of the populace.
Structure, Function, and Physicochemical Properties of Pore-forming
Antimicrobial Peptides
Authors: Goki Narjes Hosseini , Tehranizadeh Zeinab Amiri , Saberi Mohammad Reza , Khameneh Bahman , Bazzaz Bibi Sedigheh Fazly 
Published: November 2023

abstract:
Antimicrobial peptides (AMPs), a class of antimicrobial agents, possess considerable
potential to treat various microbial ailments. The broad range of activity and rare complete bacterial
resistance to AMPs make them ideal candidates for commercial development. These peptides
with widely varying compositions and sources share recurrent structural and functional features
in mechanisms of action. Studying the mechanisms of AMP activity against bacteria may lead to
the development of new antimicrobial agents that are more potent. Generally, AMPs are effective
against bacteria by forming pores or disrupting membrane barriers. The important structural
aspects of cytoplasmic membranes of pathogens and host cells will also be outlined to understand
the selective antimicrobial actions. The antimicrobial activities of AMPs are related to
multiple physicochemical properties, such as length, sequence, helicity, charge, hydrophobicity,
amphipathicity, polar angle, and also self-association. These parameters are interrelated and need
to be considered in combination. So, gathering the most relevant available information will help
to design and choose the most effective AMPs.
A Review on the Role of Phytoconstituents Chrysin on the Protective Effect
on Liver and Kidney
Authors: Sarmah Debika , Sengupta Rupa 
Published: November 2023

Background:
The chance of contracting significant diseases increases due to an unhealthy
and contemporary lifestyle. Chrysin is a flavonoid of the flavone class in numerous plants, including
Passiflora and Pelargonium. Chrysin has long been used to treat a variety of illnesses. Chrysin, an
essential flavonoid, has many pharmacological actions, including anticancer, antiviral, anti-inflammatory,
anti-arthritic, depressive, hypolipidemic, hepatoprotective, and nephroprotective activity.

Purpose:
This explorative review was commenced to provide a holistic review of flavonoids confirming
that Chrysin has a therapeutic potential on the liver and kidney and reduces the hepatotoxicity
and nephrotoxicity induced by diverse toxicants, which can be helpful for the toxicologists, pharmacologists,
and chemists to develop new safer pharmaceutical products with chrysin and other toxicants.

Method:
The information presented in this review is obtained using targeted searches on several
online platforms, including Google Scholar, Scifinder, PubMed, Science Direct, ACS publications,
and Wiley Online Library. The works were chosen based on the inclusion criteria agreed upon by all
authors.

Study Design:
The most relevant studies that were well-explained and fit the chosen topic best were
picked. The achieved information was analyzed to determine the outcome by screening sources by
title, abstract, and whole work. Between themselves, the writers decided on the studies to be considered.
The necessary details were systematically organized into titles and subtitles and compressively
discussed.

Results:
Chrysin is a promising bioactive flavonoid with significant health benefits, and its synthetic
replacements are being utilized as pharmaceuticals to treat various diseases. Findings revealed that
Chrysin exhibits hepatoprotective actions against several hepatotoxicants like 2,3,7,8 tetrachlorodibenzo-
p-dioxin, carbon tetrachloride (CCl4), cisplatin, and others by lowering the levels of liver toxicity
biomarkers and enhancing antioxidant levels. Additionally, chrysin has potential nephroprotective
properties against various nephrotoxicants, like Cisplatin, Doxorubicin, Paracetamol, Gentamicin,
Streptazosin, and others by dropping kidney toxicity marker levels, reducing oxidative stress, and
improving the antioxidant level.

Conclusion:
According to this revised study, chrysin is a promising phytoconstituent that can be
utilized as an alternate treatment for various medications that cause hepatotoxicity and nephrotoxicity.
With active chrysin, several dosage forms targeting the liver and kidneys can be formulated.
Highly Efficient and One-pot New Betti Bases: PEG-400 and Al2O3 Mediated Synthesis, Optimizations, and Cytotoxic Studies
Authors: Piludiya Reshmabanu , Kapadiya Khushal M. 
Published: November 2023

Background:
Multicomponent reactions (MCRs) have proven as one of the best alternatives
to minimize several environmental consequences, mainly the use of hazardous chemicals, byproducts,
and severe production processes. Literature reveals that MCRs with PEG-400 and metal
oxide-based greener media provide a new and useful strategy for the construction of biologically
potent organic systems.

Objective:
The present study aimed to synthesize newer Betti bases by a modified Betti reaction
employing a highly efficient catalyst for the direct synthesis of a novel class of non-racemic amino
benzyl naphthol ligands under green solvent media. The involvement of the articulated framework
(4a-4j) was studied against nine cancer panels (NCI-60 cell lines) in terms of inhibiting/killing
cancer cells.

Methods:
For the modification of the Betti reaction, we used 2-aminopyridin-3-ol, aromatic aldehydes,
and a naphthol system using greener media employing PEG-400 and alumina as a prime
active and highly selective catalyst. Furthermore, the antiproliferative activity against NCI-60 human
cancer cell lines (GI50) was used for the development of pharmacologically active compounds
and exhibited the single dose (10-5 M) study.

Results:
Based on greener media synthesis, recompenses of ease of workup, less reaction time,
higher yield, and higher atom economy, as well as environmentally friendly, were reported. Betti
bases were obtained at a yield of 87-98% and characterized by spectroscopic techniques. Among
the synthesized scaffolds, compound 4b was found to be extra potent in melanoma cancer [MDAMB-
435], while compound 4h showed promising inhibition in leukemic cancer cell lines [HL-
60(TB) and MOLT-4].

Conclusion:
A straightforward way for an efficient synthesis of Betti bases was developed via the
reaction of naphthol and aldehydes with amines in PEG-400 media. An Al2O3 was effectively catalyzed
in the Betti reaction in excellent yields without the formation of any other by-product in atom
economy and environmentally benign way. The newly synthesized hybrids were tested in vitro
against a panel of cancer cell lines, and some of the compounds exhibited significant inhibitory
anti-proliferative effects. The most potent compounds (4b and 4h) showed interesting results, and
compound 4b was found extra potent in melanoma cancer cell lines with -62% GI values.
In-silico Docking and Dynamics Simulation Analysis of Peroxisome Proliferator-Activated Receptor-Gamma and β-Carotene
Authors: Jindal Divya , Subramani Parasuraman Aiya , Panati Kalpana , Pasala Praveen Kumar , Saddala Rajeswara Reddy , Narala Venkata Ramireddy 
Published: November 2023

Background:
Peroxisome proliferator-activated receptor-gamma (PPAR-γ) plays a crucial
role in regulating lipid and glucose metabolism, cancer, and inflammation, making it an attractive
target for drug development. Meanwhile, β-Carotene, known for its antioxidant, anticancer and antiinflammatory
properties, holds promise for modulating PPAR-γ activity. Understanding their interaction
is crucial.

Objective:
This study aims to explore the therapeutic potential of β-carotene in modulating PPAR-γ
activity by investigating their binding interactions.

Methods:
Screening of bioactive compounds from PubChem was conducted using GlideXP to identify
potential PPAR-γ (PDB: 2PRG) ligands. During this screening, both protein and bioactive compounds
were prepared following established protocols. Subsequently, the compounds were docked
into the ligand binding domain (LBD) of the protein using XP docking. Rosiglitazone was used as an
internal control. β-Carotene emerged as a lead based on Lipinski’s rule, docking score, free energy,
and LBD interactions. Molinspiration analysis assessed its drug likeness. Molecular dynamics (MD)
simulations utilizing Desmond with OPLS 2005 force field were employed to examine the dynamics
and stability of the PPAR-γ/β-carotene complex.

Results:
β-carotene had strong hydrophobic interactions with specific residues within the ligandbinding
domain of PPAR-γ. The calculated binding affinity (-9.07 kcal/mol) indicated a strong interaction
between β-carotene and PPAR-γ, suggesting that β-carotene may modulate the activity of
PPAR-γ. On a time scale of 100 ns, the MD simulations provided insights into the conformational
changes, flexibility, and intermolecular interactions within the complex.

Conclusion:
In silico docking and dynamics simulation analyses show that PPAR-γ and β-carotene
can form a stable complex, suggesting potential implications for metabolic modulation.
Integrating Network Pharmacology and Transcriptomic Strategies to Explore the Pharmacological Mechanism of Paeoniflorin Exerts Antidepressant Effects
Authors: Su Lili , Wang Zixian , Guo Pengli , He Zhongmei , Li Jianming , Zhao Yan , Zong Ying , Chen Weijia , Du Rui 
Published: November 2023

Background:
Paeoniflorin has been proven to have neuroprotective and antidepressant
effects in several studies. However, there is currently no comprehensive elaboration of its antidepressant
effects through network pharmacology combined with transcriptomics analysis. The purpose of
this study is to explore the potential mechanisms by which paeoniflorin exerts its antidepressant effects
using network pharmacology and transcriptomics sequencing approaches.

Methods:
We utilized metascape to enrich the intersecting targets for paeoniflorin and depression for
enrichment analyses. Additionally, we employed Cytoscape software to construct target pathway
networks. For the screening of differentially expressed genes (DEGs) altered by paeoniflorin, we
sequenced mRNA from the hippocampal tissue of CUMS model mice using the BMKCloud platform.
We further enriched their biological functions and signaling pathways by using the Omishare
database. The study utilized a combination of network pharmacology and transcriptomics analysis to
evaluate the interactions between paeoniflorin and key targets. The results were then verified through
a molecular docking process and a subsequent Western blot experiment.

Results:
According to a comprehensive analysis, paeoniflorin has 19 key targets that are closely
related to its therapeutic effect. Molecular docking revealed that paeoniflorin has a high affinity for
HIF-1α, VEGFA, and other targets. Furthermore, protein expression and immunofluorescence staining
analysis showed that paeoniflorin significantly increased the expression level of HIF-1α and
VEGFA in the hippocampus of depression model mice.

Conclusion:
These findings suggest that paeoniflorin may have therapeutic potential in depression
through the activation of the HIF-1α-VEGFA pathway.
Diagnostic and New Therapeutic Approaches to Two Challenging
Pediatric Metabolic Bone Disorders: Hypophosphatasia and X-linked
Hypophosphatemic Rickets
Authors: Aljuraibah Fahad , Alalwan Ibrahim , Habeb Abdelhadi 
Published: November 2023

Abstract:
The diagnosis and management of metabolic bone disease among children can be challenging.
This difficulty could be due to many factors, including limited awareness of these rare
conditions, the complex pathophysiology of calcium and phosphate homeostasis, the overlapping
phenotype with more common disorders (such as rickets), and the lack of specific treatments for
these rare disorders. As a result, affected individuals could experience delayed diagnosis or misdiagnosis,
leading to improper management. In this review, we describe the challenges facing diagnostic
and therapeutic approaches to two metabolic bone disorders (MBD) among children: hypophosphatasia
(HPP) and X-linked hypophosphatemia (XLH). We focus on explaining the pathophysiological
processes that conceptually underpin novel therapeutic approaches, as well as these
conditions’ clinical or radiological similarity to nutritional rickets. Particularly in areas with limited
sun exposure and among patients not supplementing vitamin D, nutritional rickets are still
more common than HPP and XLH, and pediatricians and primary physicians frequently encounter
this disorder in their practices. More recently, our understanding of these disorders has significantly
improved, leading to the development of novel therapies. Asfotas alfa, a recombinant, human-
tissue, nonspecific alkaline phosphatase, improved the survival of patients with HPP. Burosumab,
a human monoclonal anti-FGF23 antibody, was recently approved as a specific therapy for
XLH. We also highlight the current evidence on these two specific therapies’ safety and effectiveness,
though long-term data are still needed. Both HPP and XLH are multisystemic disorders that
should be managed by multidisciplinary teams. Finally, recognizing these conditions in early
stages will enable affected children and young adults to benefit from newly introduced, specific
therapies.
Late Relapse in Neuroblastoma: Case Report and Review of the Literature
Authors: Kebudi Rejin , Koc Begum , Oflaz Sozmen Banu 
Published: November 2023

Background:
Neuroblastoma is the most com mon extra-cranial solid tu mor in children.
The survival rate of relapsed/refractory neuroblastoma is dismal. Late recurrence may occur
rarely.

Case Presentation:
We have, herein, presented a case with stage IV neuroblastoma who relapsed
after 11 years and had a subsequent relapse after 15 years from the initial diagnosis, and reviewed
cases with late relapsed (after >5 years) neuroblastoma in the literature. The case presented with
recurrent disease at the T7 vertebra after 11 years from the initial diagnosis. The patient received
surgery, che motherapy, MIBG treatment, and antiGD2 combined with che motherapy, and had a
further local recurrence in the paravertebral area of the re moved T7 vertebra after three years.
The patient was operated, received anti-GD2 combined with che motherapy, and is still alive with
no symptoms for 19 months after the last relapse.

Conclusion:
There is not a well-established treatment regimen for the majority of these patients.
MIBG treatment and antiGD2 combined with che motherapy may be promising options for relapsed/
refractory neuroblastoma.