bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sedimentation Dynamics and Seismic Vulnerability Using Integrated VSM-HVSR Analysis in Lake Limboto for Disaster Mitigation
Authors: Yunginger Raghel , Zulkifli Muhammad , Gafur Nurfitri Abdul , Patuti Indriati Martha , Supu Idawati , Kasim Muhammad , Bakri Abu , Bakari Ayun , Sudarningsih Sudarningsih , Wijaya Arif 
Published: December 2024

Abstract

Lake Limboto, located in the Gorontalo basin, is experiencing significant degradation due to sedimentation exacerbated by deforestation and unsustainable agricultural practices. Sedimentation dynamics in Lake Limboto are shaped by a combination of natural and anthropogenic processes, including erosion from the catchment area and waste generated by human activities. These processes contribute to the accumulation of thick and soft sediment layers, which in turn increases seismic vulnerability. This study aims to analyze the sedimentation dynamics and seismic vulnerability of Lake Limboto using an integrative approach that combines Vibrating Sample Magnetometer (VSM) and Horizontal-to-Vertical Spectral Ratio (HVSR) methods. This dual methodology approach provides a comprehensive understanding of the linkages between sedimentation processes and seismic hazard risk.
Cataract in Long-stay Psychiatric In-Patients: Prevalence, Challenges, and Clinical Implications
Authors: Hadi Yasaman , Rezaei Anita , Roozdar Sepehr , Hosseinali Anahita , Rezaei Omid , Dadpour Negar , Ghiasian Leila 
Published: December 2024

Abstract

Purpose
Cataracts, the leading cause of blindness, result in significant vision impairment and require surgical intervention. This study evaluates the prevalence, complexity, and complications of cataracts in long-term psychiatric hospital patients, who often face delayed diagnosis due to limited support systems.
Methods
This interventional case series included all patients hospitalized for more than six months. Comprehensive ophthalmic examinations were conducted, and cataract severity was documented. Patients were considered for surgery based on self-awareness or objective signs of vision impairment. Standard preoperative and postoperative care was implemented, with anesthesia determined by patient cooperation.
Results
A total of 608 psychiatric patients were screened. The most common diagnoses were schizophrenia (n = 432) and bipolar disorder (n = 112). Clinically significant cataracts were diagnosed in 212 patients (34.9%). Cataract surgery was performed on 192 eyes of 110 patients, with 82 patients undergoing bilateral surgeries with at least a 4-week interval. 89 patients underwent surgery with intravenous sedation and topical anesthesia, while 21 required general anesthesia. No instances of posterior capsular rupture or vitreous loss were reported. The mean corrected distance visual acuity (CDVA) improved significantly from 0.76 ± 0.32 logMAR to 0.26 ± 0.15 logMAR (P = 0.024) in 65 patients who cooperated for evaluation.
Conclusion
Regular examinations are essential for the timely diagnosis of cataracts in chronic psychiatric patients, reducing surgical complications and improving mental health. Experienced surgeons can generally perform cataract surgery under local anesthesia using the phacoemulsification technique for most psychiatric patients.
Effectiveness Of Mindfulness Interventions in Reducing Perceived Stress Among Nurses- A Systematic Review and Meta-Analysis
Authors: Ram Ekta , Balachandar Rakesh , Soundararajan Soundarya 
Published: December 2024

Abstract

Objectives
Mindfulness-based interventions (MBIs) are effective in reducing anxiety and depression. Yet their impact on perceived stress among clinical nurses and nursing students remains less explored. This study synthesizes evidence on the effects of MBIs in mitigating perceived stress within this high-stress professional group.
Methods
We systematically searched two databases and identified studies evaluating the effects of mindfulness on perceived stress. Standardized mean differences (SMDs) were calculated using random-effects models. Thirty-six studies involving 2,201 participants were included. Separate meta-analyses were conducted for (1) one-sample pre-post designs and (2) intervention-control designs. Subgroup analyses examined control type (active vs. non-active), intervention mode (instructor-led vs. self-directed), and intervention setting (workplace vs. non-workplace). Sensitivity analyses were performed to assess the robustness of findings.
Results
Mindfulness interventions significantly reduced perceived stress, with medium effects in one-sample pre-post studies (SMD = -0.54 [-0.77, -0.31]) and small effects in intervention-control studies (SMD = -0.21 [-0.37, -0.05]). Subgroup analyses revealed stronger effects for instructor-led interventions, workplace settings, and non-active controls. Sensitivity analyses confirmed the stability of findings, with no single study disproportionately influencing the pooled effect sizes.
Conclusions
This meta-analysis reaffirms the efficacy of MBIs in reducing perceived stress among clinical nurses and nursing students. These findings highlight the potential of tailored MBIs to promote mental health and resilience in nursing professionals, while underscoring the need for further robust, region-specific randomized controlled trials to refine intervention strategies and assess long-term impacts.
Preregistration
This systematic review/meta-analysis was preregistered in PROSPERO (CRD42024509223)
Machine learning-driven analysis of geophysical wellbore data for underground storage applications
Authors: Bondarenko Nikita , Ankul Ansh , Goldberg Cassandra , Williams-Stroud Sherilyn , Makhnenko Roman 
Published: December 2024

Abstract

This study explores the application of data-driven approaches to enhance the interpretation of geophysical wellbore data for carbon capture and storage (CCS) in the Illinois Basin. Extensive data from exploration and pilot-scale projects are analyzed to assess their potential for generating synthetic datasets that can effectively replicate some missing information for ongoing projects. Specifically, various machine learning (ML) models, including random forest, gradient boosting, feed-forward neural networks, and others, are employed to predict sonic velocities based on mineralogical composition and to identify fracture locations using petrophysical logs. ML-based approaches significantly outperform the traditional effective media interpretation, exhibiting improved accuracy in sonic velocity prediction and capturing small-scale heterogeneity of the formations. However, the prediction of fracture presence remains a challenge due to data imbalance and the complex interplay between fractures and inherent heterogeneity of geologic formations. Application of T-distributed stochastic neighbor embedding (t-SNE) - advanced technique for multidimensional data visualization reveals that spatial heterogeneity strongly influences geophysical properties, limiting ML models' performance in detecting fractures. Despite these challenges, ML approaches show promise in complementing traditional methodologies, enabling faster and more informed decision-making process during early project stages. Future research is needed to address data limitations and enhance the reliability of ML models in diverse geological settings.
Current Issues in the Application of the Provisions of the Law of Ukraine `On the Legal Regime of Martial Law` and Their Impact on the Administrative-Legal Status of Citizens During the Period of Martial Law
Authors: Korentsov Oleksandr 
Published: December 2024

Abstract. The relevance of the conducted study is determined by the lack of comprehensive scientific research regarding the protection of citizens' rights during the enforcement of martial law. The purpose of the article is to analyze the provisions of the Law of Ukraine "On the Legal Regime of Martial Law" in terms of their impact on the administrative and legal status of citizens under martial law. General scientific and special methods of scientific inquiry were employed, including formal-logical, dialectical, systemic analysis, and dogmatic methods. The author conducted a systematic analysis of the provisions of the Law `On the Legal Regime of Martial Law`, addressing issues of potential violations of human and civil rights and freedoms due to the application of certain provisions of this law and their compliance with the norms of the Constitution of Ukraine. Factors and conditions for the introduction of martial law, as specified in the definition of `martial law` (Article 1), were analyzed, leading to the conclusion that the definition provided in the law does not fully correspond to the essence of the legal regime of martial law. It permits the imposition of martial law under conditions that do not pose a threat to the life and health of citizens or to the independence of the state, resulting in unjustified restrictions on citizens rights and freedoms. Based on the study, a revised definition of `martial law` was proposed, incorporating substantial changes compared to the existing law. This revised definition excludes the possibility of unwarranted imposition of martial law and stipulates restrictions only on specific rights and freedoms during its enforcement. To ensure the protection of citizens rights and freedoms, it is proposed to introduce two distinct emergency legal regimes in Ukraine related to external threats (aggression): a `state of threat (attack) regime` and a more stringent `martial law regime`. For each regime, the powers of state authorities, appropriate legal measures, and provisions for transitioning from one regime to another in the event of armed aggression must be defined. It is concluded that the implementation of the norms of the Law `On the Legal Regime of Martial Law`particularly the measures under the martial law regime, must not violate fundamental human and civil rights and freedoms that cannot be restricted even under martial law conditions. If the application of these norms leads to violations of citizens`rights, such norms must be amended or excluded from the law`s text.
KIF4A on TGF-Β1/Smad3 Pathway: A Preliminary Investigation on the Proliferation and Immune Response in In-Vitro Cultured Breast Cancer Cells
Authors: Zhang Hu , Jing Meng , Du Xinna 
Published: December 2024

Aim:
This study aims to explore the relevant biomarkers in breast cancer (BC).

Background:
Kinesin family member 4A (KIF4A) is a member of the Kinesin 4 subfamily of
kinesin-related proteins, which has already been investigated in diverse types of tumors.

Objective:
Our current study aims to investigate the involvement of KIF4A in BC.

Methods:
KIF4A expression level was firstly predicted based on the data from the Cancer Genome
Atlas (TCGA) and then assessed in BC cells. Subsequently, after silencing KIF4A, its effects
on BC cell proliferation and metastasis, as well as on immune-related cytokines, were assessed
by cell counting kit-8 (CCK-8), 5-Ethynyl-2'-deoxyuridine (EdU) staining and quantitative
Polymerase Chain Reaction (qPCR). Next, western blotting assays were used to detect the
expression and phosphorylation levels of transforming growth factor-beta 1 (TGF-β1) and small
mothers against decapentaplegic 3 (Smad3) in BC cells after KIF4A silencing and the role of the
pathway was verified by Smad3 inhibitor (SIS3).

Results:
KLF4A was highly expressed in BC, and silencing of KIF4A repressed the proliferation
and metastasis potential of in-vitro cultured BC cells, concurrent with the reduction of
CDH2, VIM, and SNAIL levels, yet the increase in the expression of CDH1. In the meantime,
KIF4A knockdown diminished the levels of IL4, IL10, and TGFB while promoting those of
IL1B and IL6 in BC cells. Further, enhanced phosphorylation of Smad3 was observed in BC
cells, and the intervention of SIS3 restrained the proliferation and metastasis potential of BC
cells and reduced the expression levels of CDH2, VIM, and Snail whilst promoting that of
CDH1. Additionally, SIS3 intervention increased IL1B and IL6 levels and decreased IL4, IL10
and TGFB levels in BC cells.

Conclusion:
This study preliminarily explored the involvement of KIF4A and TGF-β1/Smad3
together in BC, which may provide another insight into the management of BC in clinical practice.
CT Perfusion Metrics as Indicators of Intracranial Atherosclerotic
Stenosis in Acute Ischemic Stroke: A Clinical Analysis
Authors: Liu Yunpeng , Huang Jumei , Jia Jianwen , Zuo Yingting , Wang Yang , Liu He 
Published: December 2024

Background:
Intracranial Atherosclerotic Stenosis (ICAS) is a prevalent etiology of
acute ischemic stroke (AIS), leading to significant morbidity and mortality. The accurate diagnosis
and treatment of ICAS-induced AIS are critical to improving outcomes. This study assesses
the application of Computed Tomography Perfusion (CTP) in predicting ICAS in AIS patients
and its potential impact on patient management.

Methods:
A retrospective analysis was conducted on 224 AIS patients who underwent endovascular
therapy (EVT) at one single Chinese Stroke Center between April 2022 and December
2023. Clinical and radiological data were collected, including patients’ demographics, CTP parameters,
and 90-day modified Rankin Scale (mRS) scores. Logistic regression and receiver operating
characteristic (ROC) curves evaluated the predictive power of CTP parameters for ICAS.

Results:
CTP analysis revealed significant differences in perfusion parameters between ICASinduced
AIS and other etiologies. ICAS patients had a smaller ischemic volume on admission
and higher mismatch ratios [Time to Maximum, Tmax＞6s: Other Causes: 132.4 [70.5, 183.3]
mL, ICAS: 96.3 [79.8, 107.3] mL, p =0.0064; relative cerebral blood flow, rCBF＜30%: Other
Causes: 2.4 [0.0, 10.8] mL, ICAS: 0.6 [0.0, 7.0] mL, p =0.0145; mismatch ratio: 7.4 [2.5, 15.0],
ICAS: 11.0 [4.6, 17.8], p =0.0285], indicating more salvageable brain tissue. The 90-day mRS
showed better functional outcomes in the ICAS group, with a higher likelihood of minimal to no
disability [mRS 90 equals 0-1: ICAS: 53.0% vs. Other Causes: 36.3%, p =0.0122]. The predictive
model for ICAS, combining clinical manifestations and CTP parameters, yielded an area
under the curve (AUC) of 0.7779, demonstrating good diagnostic performance.

Conclusion:
CTP is a valuable diagnostic tool for ICAS-induced AIS, offering the potential for
early identification and informing the decision for endovascular treatment. The positive correlation
between CTP findings and patient outcomes supports its utility in clinical practice.
Etiologies and Risk Factors by Sex and Age in Young Adult Patients with
Ischemic Stroke
Authors: Huang Linrui , Wang Yanhua , Wang Yanan , Wu Simiao 
Published: December 2024

Aim:
The aim of this study was to explore etiologies and risk factors by age and sex
in young adult patients with ischemic stroke.

Methods:
We recruited patients with ischemic stroke aged between 18 and 49 years. We assessed
pathological etiologies by the Trial of Org 10,172 in Acute Stroke Treatment (TOAST)
classification and risk factors by the International Pediatric Stroke Study (IPSS) classification.
We explored the distribution of etiologies and risk factors by age and sex and investigated baseline
features associated with functional outcomes at 3 months.

Results:
Of 8521 stroke patients consecutively admitted, 1017 patients (11.9%) aged between
18-49 years, of whom large artery atherosclerosis was the most common etiology (n=375,
36.9%), followed by other determined cause (n=194, 19.1%) and undetermined cause (n=184,
18.1%). Compared to male patients, female patients had more cardioembolism (16.34% vs
8.42%) and less small artery occlusion (8.56% vs 17.76%). As age increased, the proportions of
large artery atherosclerosis (P <0.001) and small artery occlusion (P <0.001) increased, and the
proportion of other determined causes decreased (P <0.001). Of 184 patients with undetermined
causes, 173 (94.0%) had at least one IPSS risk factor. A higher serum level of D-dimer at baseline
was associated with an increased risk of unfavorable outcome (OR 1.118, 95% CI 1.052-
1.189), adjusting for the effect of age and stroke severity.

Conclusion:
Approximately one-fifth of young patients with ischemic stroke had undetermined
etiology, for whom the IPSS classification helps to explore risk factors. A higher level of Ddimer
was associated with a higher risk of unfavorable outcomes at 3 months.
Unlocking Therapeutic Potential: Molecular Docking Insights into Aurora
Kinase A Inhibitors Patented and Published from 2011-2020 for Innovative
Anticancer Drug Design
Authors: Rani Ketki , Mazumder Avijit , Gupta Manish K. , Arora Tripti 
Published: December 2024

Background:
Enzymes belonging to the kinase family have been extensively implicated
in cancer. Aurora A (AURKA) is crucial in regulating the cell cycle. AURKA's significant
role in the formation of abnormal mitotic spindles and the failure of cytokinesis positions it as a
promising target for anticancer treatments. Notably, AURKA is observed to be overexpressed in
various cancer types, making its inhibition a compelling strategy for the development of anticancer
agents.

Objective:
In this study, we set out to investigate a novel de novo design strategy aimed at developing
and optimizing potent inhibitors for Aurora Kinase A. Given Aurora Kinase A's critical
role in cell cycle regulation and its overexpression in various cancers, it presents a promising
target for therapeutic intervention. Our goal was to create a new library of compounds, building
on existing inhibitors known for their selectivity and potency against Aurora Kinase A. By making
strategic modifications to these lead molecules, we aimed to improve their binding affinity
and inhibitory effectiveness. This research was focused on identifying and refining compounds
with enhanced drug-like properties and robust inhibitory potential, contributing to the advancement
of effective anticancer therapies.

Methods:
A compound library based on known inhibitors having Aurora Kinase A selectivity
and IC50 value in the nanomolar range was designed by modification in the lead molecules identified
by analyzing the binding mode of the molecules in the catalytic site of the enzyme. A molecular
docking study was performed in GOLD 2020. Drug-likeness ADME parameters (molecular
weight, H-bond acceptors, H-bond donors, LogP, and the number of rotatable bonds) of
designed molecules were calculated using SwissADME, pkCSM, and ProToxII web servers.

Results:
The docking study, utilizing GOLD 2020 software on Aurora Kinase A (PDB: 3W2C),
successfully identified inhibitors that hindered the enzyme's activity by occupying its catalytic
site. This inhibition mechanism, consistent across all cases, involves crucial interactions with
residues such as Ala213, Asp274, and Phe144. A detailed analysis of the compounds guided the
design of new analogs, aiming to enhance the lead compound's affinity for the receptor. Subsequent
derivatization of M1 and M15 resulted in molecules (M1_46, M1_49, M1_50, M15_21,
M15_14, and M15_43) showing a notable 10-15% increase in the Chemscore fitness scoring
function compared to their parent molecules. This improvement correlated with a rise in the
number of hydrogen bond interactions in the complexes, guiding further development.

Conclusion:
This computational assessment lays a foundation for further in-vitro and in-vivo
studies in drug development, suggesting these derivatives as promising candidates for cancer
treatment.
Simulation and Optimization of Start-up Process of High-speed Gas-liquid Two-phase Pump
Authors: Hu You Cai , Wang Zi Cheng , Wang Yan Wei 
Published: December 2024

Background:
Centrifugal pump is widely used in industrial production as a key
fluid conveying equipment. The transient characteristics during its start-up process may
lead to vibration, noise and efficiency loss. Therefore, it is very important to optimize the
start-up process.

Objective:
Optimize the structural parameters of the centrifugal pump, with the initial
pulse values of both the head and efficiency as the optimization objectives, to enhance its
transient performance.

Methods:
The centrifugal pump was numerically simulated by computational fluid dynamics
method. In the optimization process, the BP neural network is established, and the genetic
algorithm is used to optimize the parameters, which improves the efficiency and accuracy
of parameter tuning.

Results:
The optimized head pulse value is reduced by 4.39 m, and the efficiency pulse
value is reduced by 5.65 %. Make the start-up process of centrifugal pump more stable.

Conclusion:
Among the parameters that affect the stability of the centrifugal pump start-up
process, it can be obtained that the three factors of impeller outlet width, blade outlet angle
and blade wrap angle have the greatest influence on the fluctuating head and efficiency of
the centrifugal pump.

other:
none
Research Progress on Forming Porous Structures based on Selective Laser Melting Technology
Authors: Gao Bingwei , Qin Mingjing , Shi Jingyao , Peng Liqing , Sun Zhixin 
Published: December 2024

Background:
Based on the development of selective laser melting technology,
the machining of porous structures has become more delicate than conventional
machining methods and has great advantages in manufacturing in many fields.

Objective:
Types, properties, and design methods of porous structures are described,
along with the application areas of porous structures. The influence of SLM process
parameters on the molding of porous structures is also described.

Methods:
Journals on porous structures are cited and used to demonstrate the excellent
properties, application areas, and molding processes of porous structures.

Results:
Porous structures formed based on selective laser melting have excellent
properties and are used in a wide range of applications, such as medical phytomers
and aerospace.

Conclusion:
With the combination of selective laser melting technology and porous
structure design methods, porous structures are better developed and applied to many
fields.