bluuebunny/crossref_metadata_2025_split huggingface dataset:
Anti-Alzheimer's Disease Target and Beneficial Effect in Formononetin
Authors: Xiao Hai , Nong Yuan , Huang Yiqing , Qin Xingyue , Liu Meizhen , Qin Lixiu , Yang Bin 
Published: November 2024

Introduction:
Alzheimer's Disease (AD), a common neurodegenerative relevance of
dementia, is spreading in the world. Hitherto, the pharmacological treatment for AD is prescribed
limitedly in clinical application. Recently, it has been found that naturally occurring extracts
possess promising anti-neurodegenerative properties, including AD.

Method:
Our previous study indicated that formononetin (FMN) exerts the anti-AD benefits
based on bioinformatics analysis. However, the experimental validation for bioinformatics findings
has not been conducted. In this study, we primarily applied the molecule docking analysis
to ascertain the pharmacological targets, including cytochrome P450 19A1 (CYP19A1). Transgenic
AD mice were used to validate the bioinformatics findings in vivo experimentally. Molecular
docking data showed that FMN acted directly on CYP19A1 target protein with effective
binding sites and potent combining affinity/energy.

Results:
Meanwhile, FMN intervention contributed to an increased trend of body weight in
transgenic AD mice reduced hippocampal expression of Aβ1-42, and elevated content of
CYP19A1. Additionally, FMN intervention showed reduced terminal deoxynucleotidyl Transferase
dUTP Nick-End Labeling (TUNEL) expression and increased CYP19A1 and Ki67 expressions
in hippocampal sections of transgenic AD mice.

Conclusion:
Collectively, FMN may be used for the prevention of AD, and the pharmacological
activities are possibly related to reducing Aβ1-42, and TUNEL expressions to increase Ki67
and CYP19A1 activities.
Ransomware Mitigation for Secure and Smart Cloud Manufacturing Using GeniLeaf Decision Tree with Load Balancing
Authors: Rani Sangeeta , Kumar Ajay , Tripathi Khushboo 
Published: November 2024

Background:
Cyber-attacks related to ransomware have increased significantly in
cloud manufacturing industries over the last decade, causing considerable disruptions to organizations.
This type of information may also include personal details, patent rights, bank account
details, etc. This type of malware requires new and better mitigation methods.

Objective:
The primary objective of this study was to provide an algorithm to execute experiments
using genetic algorithms for load balancing with decision trees and mitigate ransomware.

Methods:
Hybrid analysis and machine learning techniques were used in this study to identify
ransomware. Since a wide range of samples impacted by ransomware share most of the characteristics,
it may be possible to use this study to detect current and future malware variants in
industries.

Results:
In patented industrial technology, ransomware mitigation plays a crucial role based on
the analysis of various papers and patents-to-science references. In this study, a machine learning
mitigation algorithm, GeniLeaf Decision Tree (GLDT), was applied to a featured dataset
using a genetic algorithm with a decision tree

Conclusion:
Machine learning and load balancing are used to gain insight into ransomware
behavior. By using the proposed approach to mitigate ransomware and spoofing patterns,
a high level of accuracy is achieved. Using GeniLeaf Decision Trees to mitigate ransomware is
a significant innovation.
Assessing Non-linear Influences of Urban Layout on Driving Travel Distance: A Mumbai Case Study
Authors: Shkera Ali , Patankar Vaishali 
Published: November 2024

Introduction
This study investigates the impact of built environment factors on travel behavior in Mumbai, India, focusing on the non-linear effects on driving distances. The rapid urbanization and complex urban of Mumbai constitute present challenges for sustainable transportation, necessitating a deeper understanding of how urban planning influences travel behavior. While demographic factors have often been highlighted in travel studies, this research prioritizes the role of built environment factors.

Materials and Methods
The study utilized Gradient Boosting Decision Trees (GBDT) to analyze household travel survey data from Mumbai, capturing the non-linear relationships between built environment variables and driving distances. Partial dependence plots were used to visualize these effects, and the relative importance of each variable was assessed to identify key determinants of travel behavior.

Results
The analysis identified trip time as the most influential factor in determining driving distances, followed by built environment characteristics, such as proximity to commercial areas and intersection density. Socio-demographic factors were found to have a comparatively low impact. Non-linear relationships were observed, such as the stabilization of driving distances beyond certain thresholds of block density and proximity to bus stops.

Discussion
The findings challenge the traditional emphasis on demographic factors in explaining travel behavior, highlighting the significant role of urban form. The study reveals that specific built environment factors, such as accessibility and connectivity, play a crucial role in shaping driving behavior in a rapidly urbanizing city like Mumbai. These results suggest that urban planning strategies should prioritize these factors to reduce car dependency.

Conclusion
This study underscores the importance of the built environment in influencing travel behavior in Mumbai, particularly in reducing driving distances. The insights gained offer valuable guidance for urban planners and policymakers aiming to promote sustainable mobility in rapidly developing cities. Further research is recommended to validate and expand upon these findings in other urban contexts.
Screening for Depression Using Natural Language Processing: Literature Review
Authors: Teferra Bazen Gashaw , Rueda Alice , Pang Hilary , Valenzano Richard , Samavi Reza , Krishnan Sridhar , Bhat Venkat 
Published: November 2024

Background
Depression is a prevalent global mental health disorder with substantial individual and societal impact. Natural language processing (NLP), a branch of artificial intelligence, offers the potential for improving depression screening by extracting meaningful information from textual data, but there are challenges and ethical considerations.

Objective
This literature review aims to explore existing NLP methods for detecting depression, discuss successes and limitations, address ethical concerns, and highlight potential biases.

Methods
A literature search was conducted using Semantic Scholar, PubMed, and Google Scholar to identify studies on depression screening using NLP. Keywords included “depression screening,” “depression detection,” and “natural language processing.” Studies were included if they discussed the application of NLP techniques for depression screening or detection. Studies were screened and selected for relevance, with data extracted and synthesized to identify common themes and gaps in the literature.

Results
NLP techniques, including sentiment analysis, linguistic markers, and deep learning models, offer practical tools for depression screening. Supervised and unsupervised machine learning models and large language models like transformers have demonstrated high accuracy in a variety of application domains. However, ethical concerns related to privacy, bias, interpretability, and lack of regulations to protect individuals arise. Furthermore, cultural and multilingual perspectives highlight the need for culturally sensitive models.

Conclusions
NLP presents opportunities to enhance depression detection, but considerable challenges persist. Ethical concerns must be addressed, governance guidance is needed to mitigate risks, and cross-cultural perspectives must be integrated. Future directions include improving interpretability, personalization, and increased collaboration with domain experts, such as data scientists and machine learning engineers. NLP’s potential to enhance mental health care remains promising, depending on overcoming obstacles and continuing innovation.
CUVIERONIUS ARELLANOI SP. N., MASTODONTE DEL PLEISTOCENO DEL ESTADO DE OAXACA
Authors: Ochoterena F. Héctor , Silva-Barcenas Alicia 
Published: November 2024

Se describe una nueva especie de Mastodonte: Cuvieronius arellanoi sp. n. de la porción noreste de Oaxaca, basándose en dos molares y una defensa. Las características litológicas de las rocas en que se encontraron los fósiles son semejantes a las de la Formación Becerra de la cuenca de México. La presencia del género Cuvieronius Osborn, indica que también pertenecen al Pleistoceno Superior.
CORALES DEL JURÁSICO SUPERIOR DE CHIHUAHUA
Authors: Reyeros de Castillo María Magdalena 
Published: November 2024

En este trabajo se da a conocer una fauna de corales del Jurásico Superior de México. Procede de la Sierra de Águila situada en la parte norte del Estado de Chihuahua. Se describen siete especies, de las cuales seis (Actinastrea crasso-ramosa, Actinastrea tenuisepta, Thamnasteria M'Coyi, Thamnasteria lamourouxii, Cladophyllia dichotoma, Monstastrea cyclops) corresponden a especies europeas ya conocidas y una especie es nueva (Placophyllia chihuahuensis).
Asociada a esta fauna se encontró la especie de erizo de mar Caenocidaris cf. C. cucumiifera (Agassiz) (Echinoidea-Cidaroida), que se describe en la segunda parte de este número.
MONOGRAFÍA DE LOS MOLUSCOS DEL MIOCENO MEDIO DE SANTA ROSA, VERACRUZ, MÉXICO. PARTE V (PELECÍPODOS: NUCULIDAE A LIMIDAE)
Authors: Perrilliat Montoya María del Carmen 
Published: November 2024

En este trabajo se describen e ilustran treinta y ocho especies de pelecípodos, de las cuales tres son nuevas: Anadara (Rasia) veracruzana, Trinacria wadei, Glycymeris (Glycymeris) istmica. También se incluyen dos subespecies nuevas: Nuculana (Jupiteria) bowdenensis mexicana, Nuculana (Saccella) karlmartini santarosaensis. El material procede de la Formación Agueguexquite de la parte superior del Mioceno medio de la región suroriental del estado de Veracruz.
Notas sobre la geología del área entre Santa Cruz y Ayuquila, Estados de Puebla y Oaxaca
Authors: Ortega-Gutiérrez Fernando 
Published: November 2024

El área de este artículo se encuentra en la región de la Mixteca Baja del sur de Puebla y norte de Oaxaca y en ella afloran rocas metamórficas del Paleozoico, sedimentarias marinas y continentales del Mesozoico y clásticas y volcaniclásticas continentales del Cenozoico. Las rocas paleozoicas se incluyeron en la Formación Acatlán (Fries y Rincón-Orta, 1965), cuya parte inferior consiste de metasedimentos clásticos y rocas verdes y graníticas milonitizadas. Su parte superior está formada por filitas, meta-areniscas y meta-calizas (Formación Tecomate de Rodríguez-Torres, 1970). Las rocas mesozoicas cubren discordantemente a la Formación Acatlán y fueron cartografiadas en cuatro unidades lito-estratigráficas. La más antigua de éstas, la Formación Tecomazúchil (Jurásico Medio), que contiene flora fósil, consiste en clásticos marinos y continentales. La Caliza Chimeco (Oxfordiano) transicionalmente sobreyace a la unidad anterior, y está cubierta concordanternente por calizas arcillosas y limolitas calcáreas de la Formación Mapache (Kimeridgiano-Portlandiano). La Formación Morelos (Albiano-Cenomaniano inferior) descansa discordantemente sobre la secuencia jurásica y consiste de calizas y calizas dolomíticas fosilíferas. Las rocas continentales terciarias se asignaron a la Formación Huajuapan, que guardan relación discordante con las unidades anteriores y consisten en su parte inferior de conglomerados rojos y en su parte superior de clásticos y voicaniclásticos. Numerosos cuerpos intrusivos, de composición andesítico-dacítica cortan a las formaciones mencionadas; entre ellos destaca, por su expresión topográfica, la Pefia de Ayuquila. Las rocas metamórficas tienen una foliación subvertical dominante de N-S. Las rocas jurásicas forman un anticlinal amplio que buza suavemente hacia el norte. Las rocas cretácicas y terciarias constituyen el flanco oriental de un levantamiento alargado en dirección NW-SE, cortado por una falla normal que yuxtapone hacia el oriente las rocas metamórficas paleozoicas.
Can Evidence of Trauma, Diversity, and Inclusivity Training Be Reliably Detected in Probation and Parole Officer Case Notes?: An Exploratory Study
Authors: Graham Sydney , Coady Ellen , Brown Shelley L. 
Published: November 2024

This study investigated the detectability of trauma, diversity, and inclusivity (TDI) training in probation and parole officer (PPO) case notes following the implementation of the Made-in-Ontario Core Correctional Practices (CCP) Model of Community Supervision. Adherence to TDI principles pre- and post-CCP training was examined and interrater scores were calculated to measure reliability. Case notes from five PPOs, covering 45 clients, were analyzed pre-training (n = 30) and post-training (n = 15). Results suggested that after training, officers trended towards using more TDI skills and principles over the course of supervision, but effect sizes were small. Greater inter-rater reliability was observed for TDI skills than for TDI principles. However, challenges in coding adherence to general TDI principles were noted. Implications include the need for larger sample studies and refined coding manuals to improve reliability.
Suicidal Crisis Negotiations: An Investigation of Situational Characteristics, Hooks and Triggers
Authors: Hay Chantelle , Bennell Craig 
Published: November 2024

Crisis negotiation teams have previously been described as “gatekeepers” to suicidal individuals, with research showing that these are amongst the most common calls negotiators attend to. Despite this, the situational features of these calls and the communicative dynamics that may lead to the safe resolution of suicidal crises, remain poorly understood. Using a mixed method approach, situational characteristics across four suicidal incident types were examined, and “hooks” and “triggers” that were common in each incident type were identified. The results revealed some consistencies across incident types regarding incident location, and the mental health and substance use histories of subjects. Inconsistencies were observed for communication method used, weapons involved, and resolution details. Numerous hooks and triggers were identified for each incident type. The findings increase our understanding of suicidal crises and have implications for negotiator training (e.g., the features of actual suicidal incidents can inform the content of scenario-based training).
Penerapan Model Project Based Learning Terhadap Kreativitas Mahasiswa Prodi PGSD Dalam Mengembangkan Silabus Pembelajaran
Authors: Maulida Rizky , Ginting Erwin 
Published: November 2024

Pendidikan abad 21 merupakan Pendidikan yang salah satu tuntutannya adalah kreatifitas pada mahasiswa. Kreatifitas ini bisa dilakukan dengan menerapkan model pembelajaran yang mampu menstimulus kemampuan kreatifitas mahasiswa. Penelitian ini bertujuan untuk melihat kreatifitas mahasiswa yang diajarkan dengan menggunakan Project based learning (PjBL). Disain penelitian ini adalah penelitian eksperimen one shot case study dengan sampel penelitian 35 mahasiswa. Analisis data dilakukan dengan metode deskriptif. Hasil penelitian ini menunjukan mahasiswa yang diajarkan dengan model pembelajaran Project based learning (PjBL) memiliki persentase kreatifitas rata-rata 74% denagn kategori tinggi. beberapa kendala ditemui pada kegiatan pembelaajran seperti, pemahaman mahasiswa pada pembelajaran Project based learning (PjBL), perancangan proyek, distribusi tugas kelompo, dll. namun secara umum kendala yang ditemui mampu diselesaikan. Kesimpulan dari penelitian ini adalah pembelajaran dengan model pembelajaran Project based learning (PjBL) mampu menghasilkan kreatifitas yang tinggi pada mahasiswa.Keywords: Pembelajaran Proyek, Kreatifitas, PjBL
Quality assessment of oral health promotion contents regarding caries, periodontal disease, and oral cancer through websites using discern instruments: a cross-sectional study
Authors: Halim Muhammad Abdul , Suwargiani Anne Agustina , Aripin Dudi , Marhazlinda Jamaludin 
Published: November 2024

ABSTRACTIntroduction: One way to improve public oral health is through conducting health promotion activities. As technology develops, the internet has been used as a medium for health promotion by presenting health content through websites. However, the use of these websites has the potential to provide inaccurate health information due to the flexibility of users in uploading health content without a prior regulatory process and review of the contents. This study aims to describe oral health promotion content quality through regarding caries, periodontal disease, and oral cancer websites using Discern Instruments. Methods: This study used the descriptive method with a cross-sectional approach. Samples were taken using the purposive sampling technique, with a total of 46 samples. The instrument consisted of 16 questions divided into three sections. The first section, comprising seven questions, focused on the reliability and accuracy of the presented health information. The second section, with eight questions, focused on the quality of information regarding treatment options. The final section, consisting of a single question, assessed the overall assessment based on the previous questions. The quality of the websites was assessed by two reviewers. The inter-rater reliability between the two reviewers was calculated using the Cohen’s Kappa test. Data presentation included frequency distribution, mean, and standard deviation. Results: In this study, 33.3% of caries websites had low quality and 66.6% had moderate quality. In periodontal disease, 33.3% of websites were of low quality, 60% were of moderate quality and 6.6% were of high quality. In oral cancer, 26.3% were of low quality and 73.6% were of medium quality. Conclusion: The quality of dental and oral health promotion content on websites, assessed using the Discern Instruments, shows that most websites regarding caries, periodontal disease, and oral cancer have moderate quality, some have low quality, and only one website is of high quality.
Increasing mothers' knowledge, and attitudes, and children's oral hygiene index simplified (OHI-S): an experimental study on the “EKARINI” educational method
Authors: Eka Rini Willia Novita , Rusdi Muhammad , Siburian Jodion , Kalsum Ummi , Susilawati Sri 
Published: November 2024

ABSTRACTIntroduction: The high incidence of dental caries in children is partly due to the lack of parental participation in estabilishing children's tooth-brushing habits. This research aims to see an increase in the variables tested in the EKARINI, an educational model on mothers’ knowledge, attitudes, and children's OHIS. Methods: This study employs an experimental design, collecting pretest and posttest data from mothers and their children following the intervention. The intervention provided in this study involved the EKARINI educational model, which included a pre-test and post-test in the form of a questionnaire consisting of several questions about maternal knowledge and attitudes toward dental health, and the control group received standard education using media such as leaflets, videos, and phantom models. The sample consisted of two groups: an intervention group with 20 respondents and a control group with 20 respondents. Data analysis was conducted using either the independent t-test or the Mann-Whitney test. Results: The findings revealed a significant difference between the posttest scores of the intervention group and the control group The p-values indicate significant differences for each variable: knowledge (p = 0.006), attitude (p = 0.016), and OHIS (p = 0.010), showing that the EKARINI educational model effectively improved maternal knowledge, attitudes, and children's oral hygiene compared to the control group. Based on the average value, the group that received the educational model had a higher average value than the control group. Conclusion: The EKARINI educational model is in increasing mothers’ knowledge, attitudes, and better OHIS values.
Improving the Computational Thinking Abilities of Junior High School Students Through Problem-Based Learning
Authors: Romadani Moh. Nafis Husen , Ariyanti Gregoria , Winarsih  
Published: November 2024

Computational Thinking is a crucial skill that students must master in the 21st century. Computational Thinking encompasses a systematic process that enables individuals to formulate problems, develop strategies, and find effective, efficient, and reusable solutions. This research aims to enhance students' Computational Thinking abilities through the application of the Problem-Based Learning (PBL) model, which is effective in facilitating active learning and problem-solving. The methodology used in this study is Classroom Action Research (CAR) with a spiral approach developed by Stephen Kemmis and Robin McTaggart. Data collection is conducted through post-tests administered at the end of each cycle phase. The obtained data are analyzed using a designed assessment rubric, wherein students are categorized based on their Computational Thinking abilities and foundational Computational Thinking skills. The results indicate that by the end of Cycle II, of students achieved a moderate to high level of Computational Thinking ability. These findings affirm that the implementation of the Problem-Based Learning learning model can significantly improve students' Computational Thinking skills.
Feasibility of ultrasound-guided cervical intervertebral disc injection to aid in intraoperative site identification in dog cadavers
Authors: Ficheroulle Jérémie , Picavet Pierre P. , Gommeren Kris , Monseur Justine , Bolen Géraldine E. 
Published: November 2024

Abstract

OBJECTIVE
To study the feasibility of ultrasound-guided intervertebral disc (IVD) injection of contrast medium and methylene blue to aid in intraoperative identification of cervical IVD spaces in dogs.

METHODS
This was a single-center experimental cadaver study using randomly chosen skeletally mature dog cadavers from January 2, 2023, to March 23, 2023. For each cadaver, 1 cervical IVD was randomly selected. The ventral cervical region was ultrasonographically examined, pushing the trachea leftwards. A 50/50 contrast medium (iohexol, 300 mgI/mL) and methylene blue mixture was injected under ultrasound guidance in the IVD and ventral soft tissues. The x-rays and CT scans were performed before and after injection. Each cadaver was dissected using a ventral slot procedure. The cadavers and IVD characteristics, the success rate in ultrasonographically identifying the correct IVD space, time to injection, most caudal IVD space feasibly injectable, and semiquantitative imaging and surgical scores were recorded.

RESULTS
20 canine cadavers were used. The IVD injections were successfully performed in the correct IVD space in all cadavers. The median time to injection was 3.95 minutes (Q1 to Q3, 3.22 to 5.88 minutes). The contrast medium was clearly visible on at least 1 radiographic projection in all but 1 case and on the CT in all cases. During surgical dissection, the dye was clearly visible in all but 1 case. The dogs’ weight was significantly different between most caudal IVD spaces feasibly injectable.

CONCLUSIONS
Ultrasonographical cervical IVD space identification and mixture injection are feasible and might help intraoperative cervical IVD space identification in dogs.

CLINICAL RELEVANCE
This technique could be used presurgically in patients with cervical IVD diseases.