bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of Chronotype-tailored Bright Light Intervention on Symptoms and Quality of Life in Breast Cancer Survivors
Authors: Wu Horng-Shiuann , Gao Feng , Davis Jean E. , Given Charles W. 
Published: August 2023

Abstract
Purpose
Bright light therapy holds promise for reducing common symptoms, e.g., fatigue, experienced by individuals with cancer. This study aimed to examine the effects of a chronotype-tailored bright light intervention on sleep disturbance, fatigue, depressive mood, cognitive dysfunction, and quality of life among post-treatment breast cancer survivors.
Methods
In this two-group randomized controlled trial (NCT03304587), participants were randomized to receive 30-min daily bright blue-green light (12,000 lux) or dim red light (5 lux) either between 19:00–20:00 h or within 30 min of waking in the morning. Self-reported outcomes and in-lab overnight polysomnography sleep study were assessed before (pre-test) and after the 14-day light intervention (post-test).
Results
The sample included 30 women 1–3 years post-completion of chemotherapy and/or radiation for stage I to III breast cancer (mean age = 52.5 ± 8.4 years). There were no significant between-group differences in any of the symptoms or quality of life (all p > 0.05). However, within each group, self-reported sleep disturbance, fatigue, and depressive mood, and quality of life-related functioning showed significant improvements over time (all p < 0.01); the extent of improvement for fatigue and depressive mood was clinically relevant. Polysomnography sleep findings showed that number of awakenings significantly decreased (p = 0.011) among participants received bright light, while stage 2 sleep significantly increased (p = 0.015) among participants received dim-red light.
Conclusion
The findings provide some evidence to support using chronotype-tailored light therapy to manage sleep disturbance, fatigue, depressive mood in post-treatment breast cancer survivors. The unexpected symptom improvements among dim-red light controls remain unexplained and requires further investigation.
ClinicalTrials.gov Identifier:
NCT03304587 Study was registered on October 19, 2017.
Mendelian randomization study of inflammatory cytokines and Bell's palsy
Authors: Wu Wenbao , Fan Daofeng , Qiu Jing , Que Binfu , Chen Yangui , Qiu Rui 
Published: August 2023

Abstract
Background
Current research suggests inflammation as a cause of Bell's palsy. However, a large number of patients have not fully recovered even after combined antiviral and glucocorticoid treatment. Consequently, the relationship between inflammation and Bell's palsy remains uncertain.
Methods
We employed a two-sample Mendelian randomization approach using genetic variances of Bell's palsy from the UK Biobank (626cases and 361,141 controls of European ancestry) and inflammatory cytokines from a GWAS summary containing 8,293 healthy participants. We took a series of rigorous quality control steps to select eligible instrumental SNPs closely related to the exposure. In order to make the conclusion more robust and reliable, we employed several robust analysis methods including inverse variance weighted, weighted median, MR-Egger regression, each based on different assumptions in two-sample MR Analysis. We also performed sensitivity analyses, such as MR-Egg regression, MR-PRESSO and leave-one-out, to mitigate concerns of horizontal pleiotropy and heterogeneity.
Results
Our two-sample mendelian randomized study indicates a positive association between tumor necrosis factor-related apoptosis-inducing ligand(TRAIL), interleukin 2(IL-2 ) with Bell's palsy, while revealing a negative correlation between interleukin 12(IL-12)and Bell's palsy.
Conclusions
At the genetic level, IL-2 and TRAIL appear to be potential risk factors for Bell’s palsy. Conversely, IL-12 seems to have a diminishing effect on Bell's palsy, yet the evidence is insufficient and warrants further investigation.
Performance evaluation of multi-satellite rainfall products in the Gidabo catchment, Rift Valley Basin, Ethiopia
Authors: Gebretsadkan Kehase Neway , Tamrie Melsew Berihun , Desta Haile Belay 
Published: August 2023

Abstract

Satellite rainfalls are good options to overcome shorter records, record challenges and inconsistencies with rain-gauges. However, satellites' rainfall retrieval algorithms are region-time scale specific; hence, the key concern is selection of appropriate satellite products. Accordingly, this study evaluates the performance of five high-resolution satellites' rainfall using multiple-metrics at daily and monthly scales. The result showed that Climate Prediction Center (CPC) Morphing Algorithm (CMORPH.CPC) performed better by scoring: qualitatively; Critical Success Index (CSI = 0.856), Probability of Detection (POD = 0.911), Frequency Bias Index (FBI = 0.974), and quantitatively; correlation coefficient (CC = 0.375), Root Mean Square Error (RMSE ≈ 575), and Volumetric Critical Success Index (VCSI = 0.958) at a daily scale. At a monthly scale, Climate Hazards Group Infrared Precipitation with Stations (CHIRPS.v2) performed better by scoring CSI = 0.983, POD = 1 and FBI = 0.975 qualitatively, and quantitatively, CC = 0.836 with strong VCSI = 0.981 and better RMSE (≈125) than daily. These satellites' daily rainfall needs value-improving techniques before using in place of Gidabo's rain-gauge rainfall, while at monthly scale CHIRPS.v2's rainfall can be an alternative source of rainfall data. Finally, it ensured that for Gidabo catchment, the performance of satellite rainfall was more effective at monthly than daily scale.
Climate stress impacts on the reservoir inflows: a decision-scaling and IHACRES modeling approach in South Korean basins
Authors: Kim Taehyeong , Kang Boosik 
Published: August 2023

Abstract
This study employed the Decision-Scaling (DS) approach and the IHACRES (Identification of unit Hydrographs And Component flows from Rainfall) long-term runoff model to investigate the impact of composite changes in rainfall and temperature on dam inflows at Chungju dam, Yongdam dam, Hapcheon dam, and Seomjingang dam basins. By analyzing flow regimes, rainfall scenarios, and temperature scenarios, the study revealed crucial insights into dam inflow and its response to climate stressors. The findings demonstrated that the rate of inflow increase in the study basins exceeded the rate of rainfall increase, indicating the significance of basin storage effects in contributing to runoff generation. The analysis of rainfall changes by quantile highlighted the dominant influence of the upper-high (UH) rainfall quantile, which led to higher flood inflow compared to other quantiles. Furthermore, scenarios with different rainfall patterns were compared, showcasing the predominant impact of UH quartile rainfall on the total inflow variation. The study also analyzed the runoff ratio, finding that changes in precipitation proportionally affected the runoff ratio. Overall, these insights contribute to understanding the sensitivity of dams to changes in rainfall and temperature, facilitating the development of strategies for sustainable water supply and flood management in dam systems.
Investigating the influences of climate change on drought in a small data-scarce river catchment
Authors: Wambura Frank Joseph 
Published: August 2023

Abstract

This study focuses on the influences of climate change on drought characteristics in the small, data-scarce Ndembera River catchment in Tanzania, using the Climatic Research Unit (CRU) datasets and six regional climate models (RCMs) of the CORDEX-Africa framework. The RCM simulations were validated against the CRU data, and their optimistic (RCP 2.6) and worst-case (RCP 8.5) scenarios were used in estimating ensemble simulations using the random forest regression. The ensemble simulations were used to compute standardized precipitation evapotranspiration indices, which characterized drought for the near-future, mid-future, and far-future. Finally, patterns and trends of changes in temperature and precipitation were compared to those in drought characteristics. The findings revealed substantial uncertainty in RCMs, although their ensembles fairly reproduced the historical climate in the catchment. Under the optimistic scenario, a slight decrease in precipitation and a small increase in maximum temperature are projected. Consequently, drought intensity is projected to rise just slightly but remain moderate throughout this century. These changes are expected to be more pronounced during the mid-future than the far-future. Under the worst-case scenario, the projected changes are expected to be more pronounced, especially during the end of the century. These sorts of insights are vital for enhancing adaptations to climate change in catchments.
Exogenous Apelin-13 Administration Ameliorates Cyclophosphamide-
Induced Oxidative Stress, Inflammation, and Apoptosis in Rat Lungs
Authors: Keskin-Aktan Arzu , Kutlay Özden 
Published: August 2023

Background:
Apelin-13 is an endogenous adipocytokine known for its antioxidant, antiinflammatory,
and antiapoptotic properties.

Objective:
We aimed to investigate the possible protective effects of exogenous Apelin-13
administration on oxidative stress, inflammation, and apoptosis induced by the cytotoxic agent
cyclophosphamide (CP) in the lungs.

Methods:
Twenty-four male Wistar albino rats were divided into four groups: Control (saline), CP
(200 mg/kg), Apelin-13 (10 μg/kg/day), and CP+Apelin-13. CP was administered as a single dose on
the fifth day, and apelin-13 was administered intraperitoneally for five days. Total oxidant status
(TOS), total antioxidant status (TAS), and lipid peroxidation were determined with spectrophotometry,
TNFα and IL1β were determined with ELISA, APJ, Sirt1, NF-κB, and p53 mRNA expressions were
determined with qRT-PCR, cytochrome (Cyt) C and caspase-3 protein expressions were studied with
western blotting in lung tissues. The oxidative stress index (OSI) was also calculated. Furthermore,
serum surfactant protein-D (SP-D) and Krebs von den Lungen-6 (KL-6) levels were measured with
ELISA.

Results:
Compared to the control group, TOS, OSI, lipid peroxidation, TNFα, IL1β, cyt C, caspase-3,
APJ, NF-κB, and p53 were higher, and Sirt1 was lower in the lung tissue of rats in the CP group.
Serum KL-6 and SP-D levels were higher in the CP group. Co-administration of CP with Apelin-13
completely reversed the changes induced by CP administration.

Conclusion:
Exogenous Apelin-13 treatment protected lung tissue against injury by inhibiting
cyclophosphamide-induced oxidative stress, inflammation, and apoptosis. This protective effect of
apelin-13 was accompanied by upregulation of the Sirt1 and downregulation of NF-κB/p53 in the
lungs.
Thiolated Polymeric Hydrogels for Biomedical Applications: A Review
Authors: Younas Farhan , Zaman Muhammad , Aman Waqar , Farooq Umer , Raja Maria Abdul Ghafoor , Amjad Muhammad Wahab 
Published: August 2023

Abstract:
Hydrogels are a three-dimensional (3D) network of hydrophilic polymers. The physical and chemical
crosslinking of polymeric chains maintains the structure of the hydrogels even when they are swollen in water.
They can be modified with thiol by thiol epoxy, thiol-ene, thiol-disulfide, or thiol-one reactions. Their application
as a matrix for protein and drug delivery, cellular immobilization, regenerative medicine, and scaffolds for
tissue engineering was initiated in the early 21st century. This review focuses on the ingredients, classification
techniques, and applications of hydrogels, types of thiolation by different thiol-reducing agents, along with their
mechanisms. In this study, different applications for polymers used in thiolated hydrogels, including dextran,
gelatin, polyethylene glycol (PEG), cyclodextrins, chitosan, hyaluronic acid, alginate, poloxamer, polygalacturonic
acid, pectin, carrageenan gum, arabinoxylan, carboxymethyl cellulose (CMC), gellan gum, and polyvinyl
alcohol (PVA) are reviewed.
Traditional Uses, Phytochemical Constituents and Ethnopharmacological Properties of Mistletoe from Phoradendron and Viscum Species
Authors: Montoya-Inzunza Luis Aurelio , Heredia J. Basilio , Patra Jayanta Kumar , Gouda Sushanto , Kerry Rout George , Das Gitishree , Gutierrez-Grijalva Erick Paul 
Published: August 2023

Abstract:Plants from the genus Phoradendron and Viscum, also known as American and European mistletoe, are a group of hemiparasitic plants traditionally used to treat many diseases. Mistletoes have a rich content of natural compounds like terpenes, alkaloids, proteins, and phenolic compounds associated with their potential medicinal properties. In this sense, mistletoes have shown antiproliferative, antioxidant, anti-inflammatory, and antimicrobial activity, which has been attributed to their phytochemical constituents. The mechanisms in which mistletoe plants act vary and depend on their phytochemical content and distribution, which in part will depend on the mistletoe species. In this sense, recent literature research is needed to visualize state of the art in the ethnopharmacological potential of mistletoe. Thus, this literature review aims to systematically report recent studies (2010-2023) on the phytochemical characterization and bioactive studies of mistletoe plants, mainly the Viscum and Phoradendron genera. We gather recent information of 140 references selected in our research. Here we report that although there are several bioactivity studies of mistletoe species, bioavailability studies are still scarce, and the precise mechanisms of action are not fully known. We encourage that further studies include a systematic strategy to cover these areas of opportunity.
Nano-platform Strategies of Herbal Components for the Management of
Rheumatoid Arthritis: A Review on the Battle for Next-Generation
Formulations
Authors: Prabha Jyoti , Kumar Mohit , Kumar Devesh , Chopra Shruti , Bhatia Amit 
Published: August 2023

Introduction:
Rheumatoid arthritis (RA) is a chronic inflammatory autoimmune disease that
initially affects small joints and then spreads to the bigger joints. It also affects other organs of the body
such as lungs, eyes, kidneys, heart, and skin. In RA, there is destruction of cartilage and joints, and
ligaments and tendons become brittle. Damage to the joints leads to abnormalities and bone degradation,
which may be quite painful for the patient.

Method:
The nano-carriers such as liposomes, phytosomes, nanoparticles, microcapsules, and niosomes
are developed to deliver the encapsulated phytoconstituents to targeted sites for the better management
of RA.

Results:
The phytoconstituents loaded nano-carriers have been used in order to increase bioavailability,
stability and reduce the dose of an active compound. In one study, the curcumin-loaded phytosomes
increase the bioavailability of curcumin and also provides relief from RA symptoms. The drug-loaded
nano-carriers are the better option for the management of RA.

Conclusion:
In conclusion, there are many anti-arthritic herbal and synthetic medicine available in the
market that are currently used in the treatment of RA. However, chronic use of these medications may
result in a variety of side effects. Because therapy for RA is frequently necessary for the rest of ones
life. The use of natural products may be a better option for RA management. These phytoconstituents,
however, have several disadvantages, including limited bioavailability, low stability, and the need for a
greater dosage. These problems can be rectified by using nano-technology.
Modified Risk of Paradoxical Embolism More Effectively Evaluates the
Risk of Stroke Associated with Patent Foramen Ovale
Authors: Wang Yun , Zhao Tun , Ma Yajun , Hu Wenli 
Published: August 2023

Background:
Through an analysis of the risk factors associated with patent foramen
ovale (PFO)-related stroke (PS), we aimed to modify the Risk of Paradoxical Embolism (RoPE) to
assess the risk of PS.

Methods:
A retrospective collection of ischemic stroke (IS) patients with PFO admitted to the Department
of Neurology at Beijing Chaoyang Hospital was conducted. The patients were classified
into PS and non-PS groups. PS risk factors and RoPE scoring were analyzed based on clinical data,
laboratory indicators, and imaging data. Independent risk factors were incorporated into the RoPE
scoring system for enhancement.

Results:
Significant differences were observed between the two groups regarding total cholesterol,
low-density lipoprotein-cholesterol (LDL-C), and uric acid levels. The transverse diameter of the
left atrium was significantly larger in the non-PS group compared to the PS group. Multivariate
logistic regression revealed that higher LDL-C levels and a smaller transverse diameter of the left
atrium increased the risk of PS. The modified RoPE score was derived by assigning 1 point each
for high LDL-C levels and the absence of transverse diameter enlargement in the left atrium. The
area under the curve (AUC) of the receiver operating characteristic (ROC) curves for the classical
and modified RoPE score distinguishing PS were 0.661 and 0.798, respectively.

Conclusion:
LDL-C levels and transverse diameter of the left atrium were identified as independent
risk factors for PS. The modified RoPE scoring system exhibited superior performance in assessing
the risk of PS compared to the original RoPE score.
Pathomechanistic Networks of Motor System Injury in Amyotrophic
Lateral Sclerosis
Authors: Dey Bedaballi , Kumar Arvind , Patel Anant Bahadur 
Published: August 2023

Abstract:
Amyotrophic Lateral Sclerosis (ALS) is the most common, adult-onset, progressive motor
neurodegenerative disorder that results in death within 3 years of the clinical diagnosis. Due to the
clinicopathological heterogeneity, any reliable biomarkers for diagnosis or prognosis of ALS have not
been identified till date. Moreover, the only three clinically approved treatments are not uniformly effective
in slowing the disease progression. Over the last 15 years, there has been a rapid advancement
in research on the complex pathomechanistic landscape of ALS that has opened up new avenues for
successful clinical translation of targeted therapeutics. Multiple studies suggest that the age-dependent
interaction of risk-associated genes with environmental factors and endogenous modifiers is critical to
the multi-step process of ALS pathogenesis. In this review, we provide an updated discussion on the
dysregulated cross-talk between intracellular homeostasis processes, the unique molecular networks
across selectively vulnerable cell types, and the multisystemic nature of ALS pathomechanisms. Importantly,
this work highlights the alteration in epigenetic and epitranscriptomic landscape due to
gene-environment interactions, which have been largely overlooked in the context of ALS pathology.
Finally, we suggest that precision medicine research in ALS will be largely benefitted from the stratification
of patient groups based on the clinical phenotype, onset and progression, genome, exposome,
and metabolic identities.
Contemporary Considerations in the Evolution of Wearable Technology
for Arrhythmia Detection
Authors: Joseph Tobin , Barrie Mahmoud , Karimi Akbar , Haque Sharmi , Ogunmwonyi Innocent , Ojha Utkarsh 
Published: August 2023

Abstract:
Arrhythmias are an increasingly common cause of hospital admissions worldwide.
Late detection of arrhythmias is associated with a significantly increased risk of cardiovascular
complications. Early identification and management of life-threatening arrhythmias is paramount
to reduce mortality. Wearable technologies are now widespread among the general population,
providing a continuous output of healthcare data. However, this data are not routinely integrated
into clinical practice. Here, we begin by outlining the current landscape in wearable
technology for aiding arrhythmia detection; we then consider the clinical impact of wearable
technology for both clinicians and patients; we further highlight the latest and emerging trials in
wearable technology for arrhythmia detection and finally postulate the wider implications of the
expansion of such cardiac devices.
A Computational Approach for Designing and Validating Small Interfering
RNA against SARS-CoV-2 Variants
Authors: Dhotre Kishore , Dass Debashree , Banerjee Anwesha , Nema Vijay , Mukherjee Anupam 
Published: August 2023

Aims:
The aim of this study is to develop a novel antiviral strategy capable of efficiently
targeting a broad set of SARS-CoV-2 variants.

Background:
Since the first emergence of SARS-CoV-2, it has rapidly transformed into a global
pandemic, posing an unprecedented threat to public health. SARS-CoV-2 is prone to mutation and
continues to evolve, leading to the emergence of new variants capable of escaping immune protection
achieved due to previous SARS-CoV-2 infections or by vaccination.

Objective:
RNA interference (RNAi) is a remarkable biological mechanism that can induce gene
silencing by targeting complementary mRNA and inhibiting its translation.

Method:
In this study, using the computational approach, we predicted the most efficient siRNA
capable of inhibiting SARS-CoV-2 variants of concern (VoCs).

Result:
The presented siRNA was characterized and evaluated for its thermodynamic properties,
offsite-target hits, and in silico validation by molecular docking and molecular dynamics
simulations (MD) with Human AGO2 protein

Conclusion:
The study contributes to the possibility of designing and developing an effective response
strategy against existing variants of concerns and preventing further.
Genetic Algorithm-based Machine Learning Approach for Epileptic Seizure Identification and Classification
Authors: Thanuja K. , M. Shoba , Patil Kirankumari 
Published: August 2023

Background:
Epileptic Seizure (ES) is a neural disorder that generates an uncontrolled brain signal impulse. The disorder is seen in young children and adults with a positive medical history.

Method:
In this paper, a novel approach to epileptic seizure detection and prediction is proposed and evaluated. The seizure is retrained from Electroencephalography (EEG) high-dimension datasets. The EEG datasets further segment features of interdependent EEG into a matrix. This matrix is linked to providing a validation occurrence of similar feature events with a minimum redundancy maximum relevance (MRMR) approach for ES feature optimization.

Result & Discussion:
The uncertainty-based genetic algorithm for parametric evaluation and validation (GAPEr) is used for predictive analysis and decision support via a dedicated neural networking model. The sizer detection and prediction are supported and validated via a series of interactions from trained datasets.

Conclusion:
The proposed setup has achieved higher accuracy and dependency in decision support of Epileptic Seizure identification and classification based on predictive evaluation.
Examining the Effects of Exteroceptive Sensors of Autonomous Vehicles
(AV) on CAN Bus
Authors: Ali Zeina , Ali Qutaiba I. 
Published: August 2023

Background:
Exteroceptive sensors on an autonomous vehicle require a high-performance
communication bus. The number of exteroceptive sensors keeps rising, and the CAN bus, the most
common intra-network bus in vehicles, cannot keep up.

Objective:
This paper investigates the effect of Exteroceptive Sensors of Autonomous Vehicles on the
CAN and CAN FD buses. Four types of sensors (4 cameras, 6 radars, 1 LiDAR, and 1 INS) have been
introduced to create five different scenarios in two different test environments.

Methods:
The simulation used a highly effective environment to obtain accurate measurements and
results.

Results and Conclusion:
The results showed that the LiDAR sensor has huge data and requires a highefficiency
bus; the CAN bus could not handle it, and the rest of the sensors can transfer their data
through the traditional CAN bus.