bluuebunny/crossref_metadata_2025 huggingface dataset:
Single-Cell Sequencing Analysis and Multiple Machine Learning Methods identified CDT1 as an oncogene in retinoblastoma
Authors: Yang Yang , Zhang Yuezhi , Xiong Weiwei , Yin Xiaolong
Published: September 2024

BACKGROUND
Retinoblastoma (RB) is a heterogeneous primary intraocular malignant tumor.
OBJECTIVE
This work attempted to reveal the significant gene-related to disulfidptosis in RB.
METHODS
The scRNA-seq data from RB samples and normal samples obtained from GSE159977 were analyzed to distinguish cone cells from malignant cone cells using inferCNV. Subsequently, AUCcell was used to assess the disulfidptosis levels in cone cells. Disulfidptosis-related genes in RB were analyzed through weighted gene co-expression network analysis and machine learning methods. Cell proliferation, migration, and invasion were examined through colony formation and Transwell experiments.
RESULTS
We obtained 7 annotated cell clusters. Among them, there was a significant increase in the proportion of cone cells in RB samples. Malignant cone cells exhibited a higher disulfidptosis score. Cell trajectory analysis indicated that the disulfidptosis process intensified as cone cells transition from normal cells to malignant cells. Through machine learning, disulfidptosis-related genes were screened, ultimately identifying CDT1 as a key gene. CDT1 was upregulated in WERI-Rb1 and Y79 cells. Silencing CDT1 significantly suppressed the proliferation, migration, and invasion of RB cells.
CONCLUSIONS
This work revealed that tumors contained cone cell states with distinct transcriptional programs, and provided a crucial RB-related gene CDT1 for tumor progression. Thus, this article is of great significance in formulating a molecular targeted therapy scheme to prevent the development of RB.
Broadcast Routing Algorithm Based on Combinatorial Weights in Vehicle-to-Vehicle Communication
Authors: Sun Xiao , Sun Jian , Xiao Zenghui , Gao Mingliang , Jeon Gwanggil , Mumtaz Shahid
Published: September 2024

With the development of the Internet of Things (IoT) and intelligent transportation systems (ITS), vehicle ad hoc networks (VANETs) are prone to network congestion and link instability caused by the high mobility of vehicles. Therefore, introducing efficient routing technologies between vehicles can reduce delay and improve reliability. The high-speed mobility of vehicle nodes leads to the rapid change of network topology. Therefore, not only location and speed, but also distance, direction and other parameters should be considered during selecting route weight factors. Given the inefficient routing selection and link instability, this paper proposes a traversal peripheral weight routing selection algorithm. According to the established paths from the source node to the destination node, the algorithm selects the optimal path according to four weight factors: distance between vehicles, the angle value of the vehicle relative to the horizontal direction, link interruption rate, and traffic density. The simulation results show that compared with traditional routing algorithms, the proposed algorithm improves the data transmission rate and link survival time by 25.12\% and 17.68\%, respectively.
Early identification of high-risk pregnancies to develop preeclampsia through non-invasive cell-free DNA methylation profiling
Authors: Machteld Baetens , Bram Van Gaever , Stephanie Deblaere , Andries De Koker , Meuris Leander , Nico Callewaert , Janssens Sandra , Kristien Roelens , Ellen Roets , Isabelle Dehaene , Björn Menten
Published: September 2024

Background
Aberrant embryo implantation and suboptimal placentation can lead to (severe) complications such as preeclampsia and fetal growth restriction later in pregnancy. Current identification of high-risk pregnancies relies on a combination of risk factors, biomarkers, and ultrasound examinations, a relatively inaccurate approach.
Previously, aberrant DNA methylation due to placental hypoxia has been identified as a potential marker of placental insufficiency and, hence, potential (future) pregnancy complications. The goal of the Early Prediction of prEgnancy Complications Testing, or the ExPECT study, is to validate a genome-wide, cell-free DNA (cfDNA) methylation strategy for the accurate diagnosis of preeclampsia. More importantly, the predictive potential of this strategy is also explored to reliably identify high-risk pregnancies early in gestation. Furthermore, a longitudinal study was conducted, including sequential blood samples from women experiencing both uneventful and complicated gestations, to assess the methylation dynamics of cfDNA throughout these pregnancies.
A significant strength of this study lies in its genome-wide approach, overcoming the limitations of studies with predefined target genomic regions.
Results
Investigation of methylation patterns throughout pregnancy showed different methylation trends between unaffected and affected pregnancies. We detected differentially methylated regions (DMRs) in pregnancies complicated with preeclampsia as early as 12 weeks of gestation, with distinct differences in the methylation profile between early and late pregnancy. Two classification models were developed to diagnose and predict preeclampsia, demonstrating promising results on a small set of validation samples.
Conclusions
This study offers valuable insights into methylation changes at specific genomic regions throughout pregnancy, revealing critical differences between normal and complicated pregnancies. The power of non-invasive cfDNA methylation profiling was successfully proven, suggesting the potential to integrate this non-invasive approach into routine prenatal care.
Virtual Screening, Molecular Dynamics Simulations, and Antiviral Evaluation of Ocimum basilicum Phytoconstituents Against Japanese Encephalitis Virus
Authors: Abate Selamu Kebamo , Garabadu Debapriya
Published: September 2024

In conventional medicinal systems, Ocimum basilicum (OB) is known to be effective against viral infections. A thorough screening of OB's phytoconstituents against the Japanese encephalitis virus (JEV) in an in-silico model has not been documented. Therefore, we used the Schrodinger software to do a virtual screening and molecular dynamics simulation (MDS) (100 ns) on 265 phytocompounds of OB against the envelope (E) protein (PDB ID: 3P54) of JEV. Chicoric acid (CA), rutin, and salvianolic acid A (SA) complex of E-protein showed outstanding docking scores (Kcal/mol) of -9.136, -9.135, and − 11.838, which were all higher than the reference mycophenolate (-4.481). The MDS analysis revealed that these hit compounds, especially CA and rutin, showed comparatively strong stability on the binding pocket of the protein. Besides this, CA and rutin exhibited lower free binding energy with this protein than the standard. Moreover, the principal component and free energy landscape analysis highlighted the antiviral potential of these hit compounds against JEV. The in vitro study further supported the antiviral potential of CA and rutin at the early stage of the virus’s lifecycle. Consequently, this study provided insight into the therapeutic potential of the topmost hit compounds, suggesting their development as novel anti-JEV agents. However, further detailed study is required to validate the mechanism of anti-JEV activity of these compounds.
Drone Rotor Performance Under Icing Conditions
Authors: Gupta Avani , Gahlot Aishwerya Singh , Sankar Lakshmi N.
Published: September 2024

Low- and high-fidelity physics-based models for assessing the aerodynamic performance of drone and eVTOL rotors under icing conditions are examined. The low fidelity model in this work makes use of a lifting line model of the rotor with a prescribed inflow coupled to an ice accretion solver for modeling ice growth, and an interactive boundary layer model for the generation of airfoil drag polars. The higher fidelity model employed in this study uses a 3-D unsteady Navier-Stokes analysis with a tightly coupled water droplet transport model for modeling the collection of liquid droplets over the rotor. The rotor shape is periodically updated to account for the ice formation. Low fidelity calculations for an 81% scaled-down version of the Bell APT70 drone rotor tested at Université du Québec à Montréal provide reasonable estimates of the loss in thrust and rise in power during the initial stages of ice growth. Higher fidelity models are found to be better suited for multirotor configurations with nonlinear wake interactions, while eliminating the needs for airfoil drag polars, tip loss models, and empirical compressibility corrections.
A Directional Tensile Superelasticity in Ceramic Crystal via Reversible Shuffle Twinning
Authors: Nie Anmin , Wang Chong , Li Zeya , Cheng Yingchun , Weng Xiao-ji , Zhai Kun , Xue Tianyu , Yuan Hongtao , Zhou Xiang-Feng , Wang Hongtao , Liu Zhongyuan , Tian Yongjun
Published: September 2024

Superelasticity, being a reversible nonlinear strain response to stress stimuli beyond the linear elastic regime, is always associated with phase transformations in its host materials, mostly metals or polymers. Theoretical rationale indicates that inorganic materials with covalent/ionic bonding normally have large energy barriers for reversible structural transitions and thus host less opportunity to achieve superelasticity. Here, we demonstrate a directional tensile superelasticity in ceramic crystal GeSe through an unconventional reversible shuffle twinning mechanism instead of martensitic phase transition. We observed, with in-situ mechanical transmission electron microscopy, an evolution in stress‒strain curve from the linear elastic behavior to a nonlinear superelastic plateau, and confirmed that such superelasticity appears simultaneously together with the generation of stripy-shaped twin domains along <110> orientation. Theoretical calculations revealed that the shuffle twinning process from “Z-shaped” to “anti-Z-shaped” bond-configuration leads to the release of elastic potential energy, being responsible for the emergence of tensile superelasticity therein. Note that such a highly-directional superelasticity prefers to emerge at angles near the zigzag direction owing to the anisotropic Young's modulus in GeSe, and has never been reported in superelastic materials. Our observation provides a novel strategy to exploit tensile superelasticity and nonlinear mechanics for advanced mechanical and flexible electronics.
Advancing Fire and Smoke Detection Reliability: Integrating Generalized ELAN and Programmable Gradient Information within YOLOv9 to Discriminate Against False Positives
Authors: Nejjar Mehdi , Amar Amine , Guennoun Mouhcine , Taha Mostafa
Published: September 2024

This paper presents YOLOv9, the advancement in the YOLO (You Only Look Once) series, innovating with the GELAN (Generalized Efficient Layer Aggregation Network) and PGI (Programmable Gradient Information) to enhance the precision of detection systems. We detail our empirical evaluation of YOLOv9 on robust and diverse datasets, highlighting its capability to maintain high detection accuracy while significantly reducing false positives, even with limited training data and in challenging scenarios. In this case, the approach has the potential to improve the accuracy of fire and smoke detection without being trained on pseudo-fire and pseudo-smoke scenes and without infrared lighting conditions. The findings highlight its potential as a reliable tool in this safety-critical application. Moreover, the proposed models demonstrate YOLOv9's superiority over its predecessors, with good performance, achieving high precision (P, mAP50, and mAP50-95) and a recall doing the inference in object early detection technologies.
Enhancing Laryngeal Cancer Classification Using Voice Data with Octave-band Filters: A Comparative Study of Against Mel-Frequency Filters
Authors: Song Jaemin , Kim Hyun-Bum , Lee Yong Oh
Published: September 2024

Laryngeal cancer is typically diagnosed through laryngoscopy, but voice-based deep learning algorithms have shown promising performance recently. Most voice-based deep learning algorithms convert voice signals into mel-frequency cepstral coefficients (MFCCs) before processing them through convolutional neural networks (CNNs). In this study, we investigated the use of octave frequency spectrum energy (OFSE), an alternative feature extraction method that improves the representation of low frequency bands in voice signals instead of MFCC. Preliminary results show that using OFSE as input to a CNN improves accuracy by up to 21.6% compared to MFCC. This suggests that OFSE enhances the CNN’s ability to recognize laryngeal cancer-specific features, leading to improved diagnostic accuracy. Additionally, we utilized Class Activation Maps (CAMs) to analyze the important regions for laryngeal cancer diagnosis on the OFSE representation, providing further insights into the effectiveness of OFSE in identifying key diagnostic areas.
The Effect of Teachers' Professional Specialization on Their Attitude towards SEN Integration in Arab Schools in Israel
Authors:   Al-Qasemi Academy – Academic College of Education, Majadley Enas
Published: September 2024

Teachers’ attitudes regarding the integration of students with special education needs (SEN) into the regular classroom play a very important role in the success of student integration. There is a paucity of knowledge about and hence a need to research the attitudes of teachers in schools in the Arab community in Israel regarding SEN integration, to better understand their knowledge and activities in this field. This research examined the skills that underlie teachers’ attitudes toward SEN integration, to identify the professional skills that teachers see as a condition for successfully integrating students with special needs into the regular classroom. The aim of this study was to determine whether teachers’ professional specialization and skill set influences their attitudes toward integrating students with special needs into their classrooms.
The first characterization of Escherichia coli isolates recovered from three wastewater treatment plants in Romania
Authors: Polianciuc Svetlana Iuliana , Colobatiu Liora , Duma Mihaela , Mihaiu Marian , Loghin Felicia
Published: September 2024

The global growth of antimicrobial resistance (AMR) raises significant challenges to public health, necessitating comprehensive surveillance and intervention strategies. This study investigates the prevalence and resistance profiles of Escherichia coli isolated from three different wastewater treatment plants (WWTPs) in Romania during the warm season of 2023. Through systematic sampling and subsequent microbiological and molecular analyses, we identified a 50% prevalence of E. coli in wastewater samples, with a concerning 83.34% of isolates displaying resistance to multiple antibiotics. The resistance was notably high against ampicillin, ticarcillin/clavulanic acid, and cefalotin, with observed multidrug resistance suggesting a robust presence of antibiotic-resistant bacteria (ARB) within treated effluents. Molecular characterization confirmed the presence of multiple antibiotic resistance genes (ARGs), including β-lactamase producers and markers for tetracycline and sulphonamide resistance. These findings underscore the critical role of WWTPs as both reservoirs and potential dissemination points for ARB and ARGs, highlighting the need for integrated surveillance systems and enhanced wastewater treatment protocols to mitigate the spread of AMR. This study emphasizes the necessity of bridging clinical and environmental monitoring to develop effective public health strategies against the threat of antibiotic resistance.
The Family as the First and Primary Environment for Peace-Oriented Upbringing
Authors: Wiśniewska Ewa
Published: September 2024

The basic social space in which young generations’ ability to coexist peacefully is formed is the space of their family home. It is in this space that teaching peaceful and constructive coexistence with others and developing children's moral imagination are possible. The aim of this paper is to reflect on the primary and fundamental role of the family in bringing up young generations for peace and to justify selected values and imperative principles in this process.
Anticipatory Thinking Education as a Challenge for Teachers in the Times of (Dis)Peace
Authors: Mróz Anna , Kawula Anna
Published: September 2024

In modern world, where a fast change is the only constant, the need of shaping competences has become a challenge for teachers. One of the most important competences, according to the paradigm of sustainable development, is the anticipatory thinking competence. All teachers of all subjects and educational stages should be prepared to shape this competence. In the article the focus has been put on the students' level of anticipatory thinking competence. The results of the research conducted with survey method were presented. The aim of the research was to explore the declared level of anticipatory thinking competence among adolescents (aged 13-20). 877 students took part in the research. Results show that participants declare high level of the anticipatory thinking competence, but female students rate their level of competence lower than males. The article ends with conclusions, limitations of the method and a summary.
Integrating Network Pharmacology, Bioinformatics, and Mendelian Randomization Analysis to Identify Hub Targets and Mechanisms of Kunkui Baoshen Decoction in Treating Diabetic Kidney Disease
Authors: Song Siyuan , Yu Jiangyi
Published: September 2024

Objective:

To uncover the potential hub targets of Kunkui Baoshen Decoction (KKBS) in alleviating
Diabetic Kidney Disease (DKD).

Methods:

Targets associated with KKBS and DKD were curated from TCMSP, GeneCards, OMIM, and Dis-
GeNET databases. Common targets were identified through intersection analysis using a Venn diagram. Employing
the "Drug-component-target" approach and constructing a Protein-protein Interaction (PPI) network,
pivotal components and hub targets involved in KKBS's therapeutic action against DKD were identified.
Functional enrichment and Gene Set Enrichment Analysis (GSEA) elucidated the potential mechanisms of
these hub targets. Molecular docking simulations validated binding interactions. Subsequently, hub targets
were validated using independent cohorts and clinical datasets. Immune cell infiltration in DKD samples was
assessed using ESTIMATE, CIBERSORT, and IPS algorithms. A nomogram was developed to predict DKD
prevalence. Finally, causal relationships between hub targets and DKD were explored through Mendelian randomization
(MR) analysis at the genetic level.

Results:

Jaranol, isorhamnetin, nobiletin, calycosin, and quercetin emerged as principal effective components
in KKBS, with predicted modulation of the PI3K/Akt, MAPK, HIF-1, NF-kB, and IL-17 signaling pathways.
The hub targets in the PPI network include proteins involved in regulating podocyte autophagy and apoptosis,
managing antioxidant stress, contributing to insulin resistance, and participating in extracellular matrix deposition
in DKD. Molecular docking affirmed favorable binding interactions between principal components and
hub targets. Validation efforts across cohorts and databases underscored the potential of hub targets as DKD
biomarkers. Among 20 model algorithms, the Extra Tree model yielded the largest Area Under the Curve
(AUC) in receiver operating characteristic (ROC) analysis. MR analysis elucidated that the targets related to
antioxidant stress had a positive impact on DKD, while the target associated with renal tubular basement
membrane degradation had a negative impact.

Conclusion:

Integration of Network Pharmacology, Bioinformatics, and MR analysis unveiled the capacity of
KKBS to modulate pivotal targets in the treatment of DKD.
Metabolic Pathway of Osilodrostat in Equine Urine Established through High-resolution Mass Spectrometric Characterization for Doping Control
Authors: Ishii Hideaki , Shigematsu Ryo , Takemoto Shunsuke , Ishikawa Yuhiro , Mizobe Fumiaki , Nomura Motoi , Arima Daisuke , Kunii Hirokazu , Yuasa Reiko , Yamanaka Takashi , Tanabe Sohei , Nagata Shun-ichi , Yamada Masayuki , Leung Gary Ngai-Wa
Published: September 2024

Objective:

Osilodrostat, used to treat Cushing's disease, exhibits an anabolic effect, leading to its
classification as a prohibited substance in horseracing and equestrian sports. This study reports the characterization
of osilodrostat metabolites in horse urine and elucidates its metabolic pathways for the first time for
doping control purposes.

Methods:

Osilodrostat was administered nasoesophageally to four thoroughbreds (one gelding and three
mares) at a dose of 50 mg each. Potential metabolites were extensively screened via our developed generic
approach employing differential analysis to identify metabolites. Specifically, high-resolution mass spectral
data were compared between pre- and post-administration samples on the basis of criteria of fold-changes of
peak areas and their P values. Potential metabolite candidates were further identified through mass spectral
interpretations using product ion scan data.

Results:

A total of 37 metabolites were identified after comprehensive analysis. Osilodrostat was predominantly
metabolized into a mono-hydroxylated form M1c (~40%) alongside osilodrostat glucuronide M2
(~17%). Given their longest detection time (2 weeks after administration) and the identification of several
conjugates of osilodrostat and M1c, including a novel conjugate of riburonic acid, we recommend monitoring
both osilodrostat and M1c after hydrolysis during the screening stage. However, only osilodrostat can be used
for confirmation because of the availability of a reference material.

Conclusion:

It is advisable to screen for both osilodrostat and its mono-hydroxylated metabolite M1c to effectively
monitor horse urine for the potential misuse or abuse of osilodrostat. For suspicious samples, confirmation
of osilodrostat using its reference material is required.
Structural Optimization of Atomic Clusters
Authors: Srivastava Ambrish Kumar , Srivastava Ruby
Published: September 2024

This chapter exclusively addresses the algorithms employed to perform
geometry optimization of clusters. These algorithms can be broadly classified into two
groups: gradients-based algorithms and gradient-free algorithms. Gradient-based
algorithms use the gradient of potential energy functions to give local minima. On the
contrary, gradient-free algorithms are inspired by natural processes, which exploit
some mathematical models, which lead to global minimum. Although there are a
variety of gradient-free algorithms, some of the most popular ones include genetic
algorithm, particle swarm, simulated annealing, etc. The strengths and weaknesses of
all these algorithms have been also discussed.
DFT Studies on Nucleic Acid Base (NAB)−M2 /M2 2+ Complexes
Authors: Srivastava Ambrish Kumar , Srivastava Ruby
Published: September 2024

Metal clusters, atomically precise aggregates of metal atoms, when prepared
in the gas phase, produce only “magic numbers” sizes. Small-sized metal clusters (2
nm (<~100 atoms)) have different geometric and electronic properties as compared to
bulk metal structures. Metal clusters are used as new functional nanomaterials in
various applications. In this chapter, the interactive properties of different nucleic acid
bases (NAB) with M2
/M2
2+ (M = Ag, Au, and Cu) are studied by theoretical means.
Transition metals have a great affinity toward nucleic acids, which makes them suitable
candidates for metal ion sensing, removal of toxic metal ions, and the construction of
functional metal nanostructures. The highly significant symmetric dinuclear metalmediated homo base pairs structures with significant stabilities play a vital role in
various applications. Metal-nucleobase complexes have wide applications, such as
sensors, bidirectional nucleobases, logic gates, and nanowires. A logic gate programs
cells for biomedical and environmental applications. In this chapter, the electronic and
optoelectronic properties of M2
and M2
2+ with various NAB pairs, such as
adenine−thymine (AT), adenine−uracil (AU), adenine thymine (ATAT) Watson Crick
(WCST) stacking pairs, adenine−adenine stacking pairs (AAST), and adenine−adenine
hydrogen bonding (AAHB) (M = Ag, Au, Cu), are studies, along with their
applications.
PENGARUH DANA OTONOMI KHUSUS (DOK), DANA TAMBAHAN INFRASTRUKTUR (DTI) DAN PERTUMBUHAN EKONOMI TERHADAP INDEKS PEMBANGUNAN MANUSIA DI KABUPATEN/KOTA PROVINSI PAPUA PERIODE 2019-2021.
Authors: Giban Pilipus , Faishal Fadli
Published: September 2024

The granting of Special Autonomy for Papua Province is intended to realise justice, uphold the rule of law, respect for human rights, accelerate economic development, improve the welfare and progress of the Papuan people, in the context of equality and balance with the progress of other provinces (DPR, 2013). The objectives of this study are first, to determine the effect of the Special Autonomy Fund on the Human Development Index in the Regency / City of Papua Province in 2019 - 2021. Second, to determine the effect of the Infrastructure Supplementary Fund on the Human Development Index in the Regency / City of Papua Province in 2019 - 2021. Third, to determine the effect of Economic Growth on the Human Development Index in the Regency / City of Papua Province in 2019 - 2021. This research uses quantitative research. The data used is secondary data obtained from photographs, video recordings, objects, graphic documents (tables, notes and minutes). The variables used are Human Development index, Special Autonomy Fund (DOK), Additional Infrastructure Fund (DTI), and economic growth on human development index in Papua Province. The results showed that the Special Autonomy Fund had no effect on the human development index with a probability value of 0.3132. because the special autonomy funds for Papua and West Papua have decreased due to the Covid-19 corona virus pandemic.
The Effect of Service Quality and Perceived Value on Customer Satisfaction and Its Impact on Customer Loyalty
Authors: Hadiputro Mohamad Fauzan Muzhaffar , Rofiaty Rofiaty
Published: September 2024

This research aims to determine the effect of service quality and perceived value on customer satisfaction and its impact on customer loyalty at Araya Golf Course. This research’s type is causal analysis research. A sample size of 100 respondents were used. The respondents were customers at Araya Golf Course. Likert scale was utilized in the research instrument and path analysis model was employed. The instrument test in this study is the validity test and the reliability test. The test results show a positive and significant effect of Service Quality on Customer Loyalty through Customer Satisfaction. The results of this research also show that there is a positive and significant effect of Perceived Value on Customer Loyalty through Customer Satisfaction.
 
Abstrak
Tujuan dari penelitian ini adalah untuk mengetahui pengaruh kualitas pelayanan dan nilai yang dirasakan terhadap kepuasan pelanggan dan pengaruhnya terhadap loyalitas pelanggan di Lapangan Golf Araya. Jenis penelitian ini adalah penelitian analisis kausal. Penelitian ini menggunakan ukuran sampel sebanyak 100 Responden. Responden yang dipilih dalam penelitian ini adalah seluruh pelanggan di Lapangan Golf Araya. Instrumen penelitian ini menggunakan skala Likert. Dalam penelitian ini digunakan model analisis jalur. Uji instrumen dalam penelitian ini adalah uji validitas dan uji reliabilitas. Hasil pengujian menunjukkan bahwa terdapat pengaruh positif dan signifikan Service Quality terhadap Loyalitas Pelanggan melalui Kepuasan Pelanggan. Hasil penelitian ini juga menunjukkan bahwa terdapat pengaruh positif dan signifikan Perceived Value terhadap Loyalitas Pelanggan melalui Kepuasan Pelanggan.
Unconditional Basic Income in Portugal: How Can We Afford It?
Authors: Gama João Vasco
Published: September 2024

We present an implementation proposal of an Unconditional Basic Income (UBI) for Portugal that does not consider second-order effects. We argue that the implementation of a first step towards UBI (an Unconditional Income with a lower amount) not only is politically more feasible than a complete implementation, but also allows for a better estimation of the economic consequences of each consecutive step. We present an implementation proposal based on Pigouvian taxes aimed at addressing the environmental challenges humanity faces. We estimate the optimal Unconditional Income based on Pigouvian taxes as 104.1€, and we find that 62% of Portuguese households would increase their real disposable income. The richest households would face a 8.4% decrease in their real disposable income while the poorest would face a 52.3% increase. We discuss the long-term effects of this proposal and how to bridge it with a future UBI implementation.
Fundaments of an Ecological Unconditional Basic Income
Authors: Souza Thiago
Published: September 2024

The present article debates the fundamental points of an Ecological UBI proposal. First, a literature review on Ecological/Environmental Ethics is brought up. Green Republicanism also sets up a theoretical foundation for an Ecological UBI. Besides, post-productivism and degrowth goals are imperative for humankind to deal with the present ecological urgencies, as seen in the UBI theory that is also brought up. Based on this literature review, the article proposes fundamental points to an Ecological UBI: (i) the funding should come from the taxation of resource extraction (not only fuel extraction) and income/wealth concentration; (ii) the coordination of different public policies to decommodify fundamental needs; (iii) the sufficiency of the Basic Income payment for the individual to have their basic needs satisfied without the necessity to work; (iv) the stimulation of regional/circular economies. Ecologism does not make it unfeasible for short-term environmental measures, also relevant concerning green and fair transition.
Wearable Smartphone-Based Multisensory Feedback System for Torso Posture Correction: Iterative Design and Within-Subjects Study
Authors: Pereira Amanda Polin , Machado Neto Olibario Jose , Elui Valeria Meirelles Carril , Pimentel Maria da Graca Campos
Published: September 2024

Background

The prevalence of stroke is high in both males and females, and it rises with age. Stroke often leads to sensor and motor issues, such as hemiparesis affecting one side of the body. Poststroke patients require torso stabilization exercises, but maintaining proper posture can be challenging due to their condition.

Objective

Our goal was to develop the Postural SmartVest, an affordable wearable technology that leverages a smartphone's built-in accelerometer to monitor sagittal and frontal plane changes while providing visual, tactile, and auditory feedback to guide patients in achieving their best-at-the-time posture during rehabilitation.

Methods

To design the Postural SmartVest, we conducted brainstorming sessions, therapist interviews, gathered requirements, and developed the first prototype. We used this initial prototype in a feasibility study with individuals without hemiparesis (n=40, average age 28.4). They used the prototype during 1-hour seated sessions. Their feedback led to a second prototype, which we used in a pilot study with a poststroke patient. After adjustments and a kinematic assessment using the Vicon Gait Plug-in system, the third version became the Postural SmartVest. We assessed the Postural SmartVest in a within-subject experiment with poststroke patients (n=40, average age 57.1) and therapists (n=20, average age 31.3) during rehabilitation sessions. Participants engaged in daily activities, including walking and upper limb exercises, without and with app feedback.

Results

The Postural SmartVest comprises a modified off-the-shelf athletic lightweight compression tank top with a transparent pocket designed to hold a smartphone running a customizable Android app securely. This app continuously monitors sagittal and frontal plane changes using the built-in accelerometer sensor, providing multisensory feedback through audio, vibration, and color changes. Patients reported high ratings for weight, comfort, dimensions, effectiveness, ease of use, stability, durability, and ease of adjustment. Therapists noted a positive impact on rehabilitation sessions and expressed their willingness to recommend it. A 2-tailed t-test showed a significant difference (P<.001) between the number of the best-at-the-time posture positions patients could maintain in 2 stages, without feedback (mean 13.1, SD 7.12) and with feedback (mean 4.2, SD 3.97), demonstrating the effectiveness of the solution in improving posture awareness.

Conclusions

The Postural SmartVest aids therapists during poststroke rehabilitation sessions and assists patients in improving their posture during these sessions.
Leveraging Chatbots to Combat Health Misinformation for Older Adults: Participatory Design Study
Authors: Peng Wei , Lee Hee Rin , Lim Sue
Published: September 2024

Background

Older adults, a population particularly susceptible to misinformation, may experience attempts at health-related scams or defrauding, and they may unknowingly spread misinformation. Previous research has investigated managing misinformation through media literacy education or supporting users by fact-checking information and cautioning for potential misinformation content, yet studies focusing on older adults are limited. Chatbots have the potential to educate and support older adults in misinformation management. However, many studies focusing on designing technology for older adults use the needs-based approach and consider aging as a deficit, leading to issues in technology adoption. Instead, we adopted the asset-based approach, inviting older adults to be active collaborators in envisioning how intelligent technologies can enhance their misinformation management practices.

Objective

This study aims to understand how older adults may use chatbots’ capabilities for misinformation management.

Methods

We conducted 5 participatory design workshops with a total of 17 older adult participants to ideate ways in which chatbots can help them manage misinformation. The workshops included 3 stages: developing scenarios reflecting older adults’ encounters with misinformation in their lives, understanding existing chatbot platforms, and envisioning how chatbots can help intervene in the scenarios from stage 1.

Results

We found that issues with older adults’ misinformation management arose more from interpersonal relationships than individuals’ ability to detect misinformation in pieces of information. This finding underscored the importance of chatbots to act as mediators that facilitate communication and help resolve conflict. In addition, participants emphasized the importance of autonomy. They desired chatbots to teach them to navigate the information landscape and come to conclusions about misinformation on their own. Finally, we found that older adults’ distrust in IT companies and governments’ ability to regulate the IT industry affected their trust in chatbots. Thus, chatbot designers should consider using well-trusted sources and practicing transparency to increase older adults’ trust in the chatbot-based tools. Overall, our results highlight the need for chatbot-based misinformation tools to go beyond fact checking.

Conclusions

This study provides insights for how chatbots can be designed as part of technological systems for misinformation management among older adults. Our study underscores the importance of inviting older adults to be active co-designers of chatbot-based interventions.
The Portrayal of Cesarean Section on Instagram: Mixed Methods Social Media Analysis (Preprint)
Authors: Zahroh Rana Islamiah , Cheong Marc , Hazfiarini Alya , Vazquez Corona Martha , Ekawati Fitriana Murriya , Emilia Ova , Homer Caroline SE , Betrán Ana Pilar , Bohren Meghan A
Published: September 2024

BACKGROUND

Cesarean section (CS) rates in Indonesia are rapidly increasing for both sociocultural and medical reasons. However, there is limited understanding of the role that social media plays in influencing preferences regarding mode of birth (vaginal or CS). Social media provides a platform for users to seek and exchange information, including information on the mode of birth, which may help unpack social influences on health behavior.

OBJECTIVE

This study aims to explore how CS is portrayed on Instagram in Indonesia.

METHODS

We downloaded public Instagram posts from Indonesia containing CS hashtags and extracted their attributes (image, caption, hashtags, and objects and texts within images). Posts were divided into 2 periods—before COVID-19 and during COVID-19—to examine changes in CS portrayal during the pandemic. We used a mixed methods approach to analysis using text mining, descriptive statistics, and qualitative content analysis.

RESULTS

A total of 9978 posts were analyzed quantitatively, and 720 (7.22%) posts were sampled and analyzed qualitatively. The use of text (527/5913, 8.91% vs 242/4065, 5.95%; P<.001) and advertisement materials (411/5913, 6.95% vs 83/4065, 2.04%; P<.001) increased during the COVID-19 pandemic compared to before the pandemic, indicating growth of information sharing on CS over time. Posts with CS hashtags primarily promoted herbal medicine for faster recovery and services for choosing auspicious childbirth dates, encouraging elective CS. Some private health facilities offered discounts on CS for special events such as Mother’s Day and promoted techniques such as enhanced recovery after CS for comfortable, painless birth, and faster recovery after CS. Hashtags related to comfortable or painless birth (2358/5913, 39.88% vs 278/4065, 6.84%; P<.001), enhanced recovery after CS (124/5913, 2.1% vs 0%; P<.001), feng shui services (110/5913, 1.86% vs 56/4065, 1.38%; P=.03), names of health care providers (2974/5913, 50.3% vs 304/4065, 7.48%; P<.001), and names of hospitals (1460/5913, 24.69% vs 917/4065, 22.56%; P=.007) were more prominent during compared to before the pandemic.

CONCLUSIONS

This study highlights the necessity of enforcing advertisement regulations regarding birth-related medical services in the commercial and private sectors. Enhanced health promotion efforts are crucial to ensure that women receive accurate, balanced, and appropriate information about birth options. Continuous and proactive health information dissemination from government organizations is essential to counteract biases favoring CS over vaginal birth.
Thành phần tuyến trùng ký sinh trên cây chanh giấy (Citrus aurantifolia) ở một số vùng canh tác trọng điểm tại tỉnh Tiền Giang
Authors: Đặng Thị Kim Uyên , Nguyễn Gia Huy , Trần Thị Thu Trâm , Lê Thị Ngọc Tiền , Võ Thị Thanh Lộc , Nguyễn Văn Hòa
Published: September 2024

Chanh giấy (Citrus aurantifolia) là loại cây trồng có giá trị thương phẩm và được trồng phổ biến tại tỉnh Tiền Giang. Tuyến trùng ký sinh thực vật là một trong các yếu tố làm giới hạn năng suất, giá trị kinh tế của canh chanh giấy nên ngày càng được quan tâm. Nghiên cứu này được thực hiện nhằm xác định mật số và thành phần loài tuyến trùng ký sinh trên cây chanh giấy ở một số vùng canh tác trọng điểm tại tỉnh Tiền Giang như huyện Cái Bè, Cai Lậy, Châu Thành, Chợ Gạo và thành phố Mỹ Tho. Kết quả khảo sát đã xác định được 8 giống tuyến trùng ký sinh gồm: Tylenchulus, Rotylenchulus, Aphelenchus, Pratylenchus, Helicotylenchus, Tylenchorhynchus, Xiphinema và Paratylenchus. Thành phần tuyến trùng tìm thấy trong đất là Tylenchulus (80%) có tần suất bắt gặp cao nhất, tiếp đến là Rotylenchulus (63,33%), Aphelenchus (60%), Pratylenchus (50%), Helicotylenchus (46,67%), Tylenchorhynchus (46,67%), Xiphinema (36,67%) và thấp nhất là Paratylenchus (3,33%); ở rễ gồm: Tylenchulus (80%), Rotylenchulus (63,33%), Pratylenchus (46,67%), Tylenchorhynchus (40%), Helicotylenchus (33.33%). Các loài tuyến trùng Tylenchulus semipenetrans, Pratylenchus coffeae và Rotylenchulus reniformis được xác định là những loài hiện diện phổ biến trên vùng rễ cây chanh Giấy tại tỉnh Tiền Giang.
Readability Trends in Four Genres: A Research Based on COCA
Authors: Cheng Deng , Cao Jingxiang
Published: September 2024

Readability measures the ease of reading a text, and high readability indicates easy texts. There has been a resurgence of interest in readability assessment due to the development of efficient natural language processing (NLP) systems. However, most studies have focused on one type of text, and few have compared the readability of different genres and described the diachronic changes in different genres. Based on the large-scale COCA corpus, this paper employs two readability indexes and three readability components to analyze the readability trend of different genres and uses SPSS to test the significance of the trend.The results showed that the changing patterns of readability varied across the four studied genres. A general upward trend in readability was found in the fiction genre, a mixed trend in the academic and magazine genres, and a downward trend in the news genre. Based on the results, we concluded that there may be multiple factors at work behind the diachronic development of readability and that these factors may have different effects on different genres.
A Case Study of Shwitra (Vitiligo) in Pediatrics with Ayurvedic Management
Authors: Patil Dr. Mikhil Trambakrao
Published: September 2024

The word Shwitra is derived from Sanskrit word Shweta, which means white patch. Shwitra is mentioned in Kushta Roga Chikitsa in classics, Shwitra (Vitiligo) and affect a large portion of the population in the pediatric age group as a result of poor lifestyle and eating habits. Shwitra According to Kashyapa Samhita ‘Shweta Bhava Michanti Shwitram’. It is also called as Kilasa, Daruna, Aruna and Shweta Kushta. Vitiligo is the problem described in modern medicine as auto immune disease as white spot on the skin. Vitiligo is such a common chronic and progressive skin disease characterized by the lack of melanin pigments producing skin patches with sharp and often hyper pigmented edges. This disease affects approximately 1% of the world-wide population. Ayurveda has incorporated this condition into the broad heading of Shwitra. All Acharyas have similar view the Shwitra or Kushtha should be initially treated by Samshodhan Karma followed by Samshaman Karma are two main line of treatment described in the classics also Various permutations and combinations have been described for internal and external use along with sun exposure by Acharyas in their respective Samhitas regarding Shaman Chikitsa in the Shwitra Roga. A detailed description of various single and compund drugs are mentioned in Samhitas, Shwitrahar Kashaya and lepa are one of them is selected and was found effective for the study
«Интересы ребенка»: проблема определения в социальных науках
Authors: Martynenko Alexandra
Published: September 2024

В статье анализируются подходы к определению «интересов ребенка» как понятия и принципа, возникшего в контексте международного применения Конвенции о правах ребенка. «Интересы ребенка» не имеют четкого определения и становятся открытым к наполнению и интерпретации понятием. Представления о том, что значит действовать в «интересах ребенка», могут заключаться подчас в противоположных практиках в зависимости от того, кто именно исполняет действие. В статье рассматривается возникновение понятия «интересов ребенка» в качестве одного из принципов Конвенции о правах ребенка, отмечено различие между «мнением» ребенка и его «интересами», которые соотносятся между собой в зависимости от подхода к осуществлению детских прав. Дается краткий обзор критических работ, посвященных понятию «интересов ребенка»: это понятие критикуется за бессодержательность и умаление прав детей относительно прав взрослых. Еще одна линия дискуссии связана с возможной заменой этого понятия другими более точными и релевантными концепциями. Одновременно с этим теоретические разработки из области социальных наук позволяют контекстуализировать детство и представления об «интересах детей» во временных, социальных и культурных рамках. Внимание уделено и российской практике инкорпорирования понятия и принципа «интересов ребенка» в рамках политического контекста. Автор соотносит «интересы ребенка» с понятием рационализированного мифа, предложенного Дж. Мейером и Б. Роуэном для исследования необходимых структурирующих элементов для деятельности организаций. «Интересы ребенка» в этой перспективе предстают необходимым элементом рационализации действий разных акторов в отношении детей.
Pengaruh Brand Awareness,Trust Dan Relationship Terhadap Keputusan Membeli Pelanggan RM Putra Minang Group
Authors: Oktaviar Chairiel , Arief Harefan , Viciwati Viciwati
Published: September 2024

Penelitian ini bertujuan untuk mengetahui dan mengukur pengaruh brand awareness, trust dan relationship terhadap keputusan membeli pelanggan RM Putra Minang Group di wilayah Tangerang Selatan dan sekitarnya dan untuk mengetahui seberapa besar pangsa pasar RM Putra Minang Group sehingga dapat membangun dan menumbuhkan  brand awarenes yang cukup kuat dan lebih dekat di hati masyarakat di wilayah Tangerang Selatan dan sekitarnya dibandingkan dengan rumah makan sejenis yang lebih dahulu masuk dalam bisnis rumah makan padang tersebut, Penelitian menggunakan data kuesioner dari 98 responden,data diolah menggunakan Smart-PLS dengan hasil dari penelitian peneliti mendapat kesimpulkan bahwa brand awareness, trust dan relationship berpengaruh positif dan siqnifikan terhadap keputusan membeli pelanggan RM Putra Minang Group.
Torsion Stability and Performance of Re-entrant Irregular Multistory Structures with Optimal Shear Wall Strengthening
Authors: Alkindy Ghivari , Muin Resmi Bestari
Published: September 2024

This study aimed to reduce the torsion in the re-entrant structure that occurs due to the eccentricity distance between the center of mass and the center of rigidity. Three types of structures are modeled, namely regular structure (model A), re-entrant irregularity structure (Model B), and re-entrant irregular structure with shear wall strengthening (B-SWA). The shear wall strengthening in the B-SWA model is designed for dimensional optimization using the Nelder-Mead Algorithm method with MatLab software. Running output from the fminsearch function on MatLab, the optimal shear wall dimensions for the B-SWA model are L1 = 2.2317 m, L2 = 1.1611 m.The results of the structural analysis using the ETABS software show that the shear wall optimization carried out on the B-SWA model has succeeded in increasing the stability of the structure, namely the results of the capital mass ratio participation show a similar pattern to model A, namely in SumUX the value of 0.9019 has been reached in modal 7. Modeling optimal shear wall after performance review with pushover analysis shows that the performance of the B-SWA model has succeeded in increasing the performance seen from the Base Shear vs. Monitored Displacement value compared to models A and B.
Comparison of Real Response Modification Factors and Performance of SMRFS Structure with OMRFS Structure Using Pushover Method
Authors: Damayanti Friska , Muin Resmi Bestari
Published: September 2024

The value of the earthquake response modification factor ( ) affects the results of the story drift in the SMRSF structure, where the smaller the -value, the larger the deviation and the need for longitudinal reinforcement will be more and more. For structures that do not comply with the SMRSF provisions, in some locations the need for reinforcement is less than that of structures that use the SMRSF provisions. The performance of a structure can be analyzed using the pushover method. The research was conducted with a 4-story and 8-story configuration, with soft soil and medium soil conditions and using SMRSF and OMRSF. From research analysis results, the cross-sectional dimensions of the columns and beams of the ordinary moment building structure system with soft soil type are the largest cross-sectional dimensions compared to the others. Under the provisions of ATC-40, the structure is included in the Damage Control (DC) category level, which means the building is still able to withstand the force of the earthquake, and the risk of fatalities humans are very small. The real -value of the structure with SMRSF is not much different from the  in the provisions of SNI 1726:2019.