bluuebunny/crossref_metadata_2025_split huggingface dataset:
Examining OTT Platforms’ Efficacy Through the Lens of Data Science and Data Mining: An In-depth Exploration
Authors: Jain Aditi , Vats Shivani 
Published: November 2024

In the digital era where internet is everything, it has been seen that the traditional modes of entertainment has less significance on the people now as compared to how it used to impact people’s life. OTT platforms have emerged as the main or primary source of entertainment for a large number of populations. However, amidst this digital revolution, theatrical experiences still hold a special place in the hearts of many. While 80% of the people know the meaning of ott platforms, there are still 20% of the people who do not know about them and among those 20%, 10% utilize OTT platforms under the guise of specific brands such as Netflix or Prime without fully understanding the concept. They don’t actually know the meaning but tend to use them. This research paper aims to educate the unknown and draws insights from the data collected through convenience sampling by surveys on how much people use ott platforms, prevalent consumer patters and behaviors prevails in the market, how the different ott platforms are performing, correlation between ott platforms and consumer preferences and sentiments of people towards these platforms as just like a coin has two faces, everything has its own advantages and disadvantages. Leveraging algorithms of machine learning, this study uncovers various insights and patterns that underpin the burgeoning OTT entertainment landscape.
An evaluation and comparison for the presence of aggregatibacter actinomycetemcomitans, porphyromonas gingivalis levels in patients with pea and self- ligating brackets
Authors: Supriya P  , Laeque Bangi Sayeeda , Konda Prasad 
Published: November 2024

Subgingival periodontal biofilm/plaque is accumulated with as Aggregatibacter actinomycetemcomitans (AA), Porphyromonas gingivalis (PG), Prevotella intermedia(PI), Tannerella forsythia(TF), and Treponema denticola(TD) causing periodontitis. : The aim was to evaluate and compare the levels of Aggregatebacter actinomycetemcomitans(AA) and Porphyromonas gingivalis(PG) in the gingival crevicular fluids of the patients undergoing orthodontic treatment with PEA(MBT Prescription; 3M Unitek) and Passive Self-ligating Brackets(Damon Q; ORMCO).The GCF was collected at baseline, 3 months and 6 months during the treatment from mesial and distal surfaces of mandibuar anterior teeth. GCF was evaluated for the presence of A. actinomycetemcomitans(AA), Porphyromonas gingivalis(PG) pathogens using real- time Polymerase chain reaction. Bacterial Count(CFU/ml) at baseline was 1.53 for both the bracket system, after 3 Months for P. gingivalis in MBT was 2.58±0.20×10 CFU/ml and A. actinomycetemcomitans; 2.19±0.42×10 CFU/ml. In SLB brackets P. gingivalis showed 2.09±0.4×10 CFU/ml and A. actinomycetemcomitans showed 1.58±0.42×10 CFU/ml. After 6 Months P. gingivalis showed 29.53±3.02×10 CFU/ml and A. actinomycetemcomitans showed 30.13±3.98×10 CFU/ml. In SLB brackets P. gingivalis showed 2.11±0.17×10 CFU/ml and A. actinomycetemcomitans showed 1.59±0.26×10 CFU/ml. SLB brackets exhibit lower DNA concentrations for both bacterial species compared to MBT brackets across all time.MBT brackets consistently exhibit higher bacterial counts compared to SLB brackets across all timelines, indicating a potentially greater propensity for bacterial colonization and biofilm formation. P. gingivalis and A. actinomycetemcomitans exhibit increased DNA concentrations over time, with the MBT brackets generally showing higher DNA concentrations compared to the SLB brackets.
Accuroguide: A precision template for optimizing mini implant placement in orthodontics
Authors: Jadhav Siddhant Ramesh , Kangane Suresh Kundalikrao 
Published: November 2024

In orthodontics, anchorage is often produced by bringing forth the desired movement of misaligned teeth utilising a tooth or group of teeth. As orthodontics has advanced over the past few decades, practitioners have used micro-implants for anchorage with great success. This is due to the implants' many benefits, including simplicity of insertion and removal, small size, and patient compliance.Micro-implant(MI) placement has always been a challenging and complex therapeutic option. The placement of orthodontic mini-screw implants determines their stability and success. As a result, choosing an implant loading location carefully is essential. A clinical and radiographic evaluation may be used to determine the mini-implant placement site. Many techniques have been developed to facilitate the mini-implants placement but requires more time for guide fabrication or because of inaccurate radiographic interpretation. The present article provides a new method for fabrication of a simplified template for guiding mini-screw implant placement.
Cronología comparada de la arquitectura tabasqueña vs arquitectura mexicana
Authors: Govea Ek Aurora , Ponce Sánchez Claudia 
Published: November 2024

El espacio construido es tal vez la manifestación más tangible de la cultura. En él los seres humanos dejan la impronta de todas las actividades que realiza de manera cotidiana. De modo que en el espacio habitado, se conjuntan tanto materiales y técnicas constructivas, como las circunstancias de su propio tiempo. Esto es lo que podrá observarse en el contenido de este libro
Aquí se expone en esencia un análisis comparativo de la evolución de la arquitectura tabasqueña y la arquitectura mexicana, en donde podrá apreciarse, la producción edilicia de México y Tabasco, en los mismos cortes temporales.
De esta manera se podrá, por un lado, explicar las particularidades del desarrollo de la arquitectura tabasqueña, respecto a la arquitectura del centro y norte del país y por otro, contribuir al conocimiento sobre arquitectura Mexicana, ya que, en la bibliografía especializada en arquitectura de nuestra nación, pocas veces se hace alusión a la arquitectura del Estado de Tabasco.
A comparative study on the chronic responses of titanium dioxide nanoparticles on aerobic granular sludge and algal-bacterial granular sludge processes
Authors: Kedves Alfonz , Haspel Henrik , Yavuz Çağdaş , Kutus Bence , Kónya Zoltán 
Published: November 2024

Abstract

The chronic effects of titanium dioxide nanoparticles (TiO2 NPs) on aerobic granular sludge (AGS) and algal-bacterial granular sludge (ABGS) was examined in this study. Sequencing batch bioreactors (SBRs) and photo sequencing batch bioreactors (PSBRs) were operated with synthetic wastewater containing 0, 1, 5, 10, 20, 30, and 50 mg L− 1 TiO2 NPs for 10 days. Nanoparticles at concentrations of 1 and 5 mg L− 1 did not impact nutrient removal but led to an increase in extracellular polymeric substances (EPSs), primarily in protein (PN). With increasing nanoparticle concentration, the negative effect became more pronounced, mainly in the AGS SBRs. At 50 mg L− 1 TiO2, chemical oxygen demand (COD), ammonia-nitrogen (NH3-N), and phosphorus (PO43−) removal decreased by 20.9%, 12.2%, and 35.1% in AGS, respectively, while in ABGS, they reached only 13.4%, 5.7%, and 14.2%. ABGS exhibited steady-state nutrient removal at 30 and 50 mg L− 1 TiO2 NPs after around 5 days. The higher microbial activity and EPS content in the sludge, coupled with the symbiotic relationship between algae and bacteria, contributed to the higher tolerance of ABGS to nanoparticles. Finally, although nanoparticles reduced biomass in both types of bioreactors, the accumulation of TiO2 NPs in the sludge, confirmed by Energy-dispersive X-ray spectroscopy analysis, and the absence of detectable titanium concentrations in the effluent wastewater, measured by Inductively-coupled plasma mass spectrometry, may be attributed to the specific operational conditions of this study, including the relatively short operation period (10 days) and high initial MLSS concentration (6 g L− 1).
Robust Visible-infrared Person Re-identification via Frequency-Space Joint Disentanglement and Fusion Network
Authors: Sun Rui , Wang Xuebin , Huang Guoxi , Chen Long , Qian Libing , Gao Jun 
Published: November 2024

Abstract

Visible-Infrared person re-identification holds significant importance in domains like security surveillance and intelligent retrieval. Existing methods mainly focus on utilizing spatial information to mitigate modality discrepancies and extract modality-shared features, overlooking the vital person discriminative information embedded in the frequency domain. Additionally, these methods also lack sufficient robustness, making them prone to the adverse effects of noise and damage. To address this issue, we propose a novel Frequency-Space Joint Disentanglement and Fusion Network (FSDF) to explore the key information in both spatial and frequency domains. Specifcally, we design a Frequency and Spatial Information Fusion (FSIF) module to fuse the crucial identity information contained in the frequency and spatial domain using the Fast Fourier Transform (FFT) and feature fusion. Furthermore, as noise commonly manifests as high-frequency information, we design a High-low Frequency Information Disentanglement Mining (HFIDM) module to disentangle high- and low-frequency information and extract crucial robust features, effectively mitigating modal differences and reducing the impact of noise. Extensive experimental results have shown that the proposed FSDF not only outperforms other state-of-the-art methods on the SYSU-MM01, RegDB, and LLCM datasets but also maintains competitiveness in challenging corrupt scenes.
Can Police Officers Handle Mental Health Cases in Western PA?
Authors: Ambrosini Robert , Hartle Frank , Trunkos Judit 
Published: November 2024

Abstract

An increasingly important question in law enforcement is whether officers can handle a variety of mental health cases. The authors in this article turn to police officers in Western Pennsylvania to find answers to this question. Using survey questions designed for this study in 2023, the authors are specifically interested in the attitudes of police officers specifically about two questions: 1) how prepared they feel they are; and 2) if they feel like they need more training. The results indicate the surveyed police officers are unevenly trained and the majority need more training to better handle mental health cases.
Probabilistic flood inundation prediction using copula-corrected precipitation forecast
Authors: Unnithan S L Kesav , Biswal Basudev , Rudiger Christoph , Ghosh Subimal , Dubey Amit Kumar 
Published: November 2024

Abstract

Flood forecasting is an effective disaster management and risk reduction tool, especially as climate change and urbanisation increase the frequency and intensity of flood events worldwide. We propose a flood inundation forecasting system incorporating a copula-corrected forecast rainfall mechanism to rectify the spatio-temporal inconsistency between observed (from the Indian Meteorological Department – IMD) and forecast rainfall (Global Ensemble Forecast System – GEFS) patterns. The Dynamic Budyko hydrological model and a conceptual flood inundation model were coupled successively to this corrective mechanism and executed continuously to map the inundation extent for a 1 in 100-year flood event across Kerala, India. The forecast inundation was mapped with a spatial accuracy between 61% and 48% for lead times between 1 and 7 days, respectively, for the peak flood day on August 16, 2018. We tested the conceptual inundation modelling framework across Kerala for its capability to be operationally deployed for emergency flood mitigation purposes with runtimes of 2 ~ 3 hours/lead day.
Assessment Of Feeding Intensity Of Tilapia Based On Improved VGG16 And Voice Spectrograms
Authors: huang Xvyang , Ma Xinli , Jin Jing , Fan Shengli , Xie Yufeng , Cai Weiming 
Published: November 2024

Abstract

In aquaculture, understanding fish appetite is crucial for developing effective feeding strategies. Fish feeding intensity is a direct indicator of their appetite. This study aims to develop a method for assessing fish feeding intensity using acoustic spectrograms and a convolutional neural network. The algorithm categorizes feeding intensity into four levels: strong, medium, weak, and none. By collecting acoustic feeding signals from tilapia in a recirculating water system, these signals were converted into a spectrogram to visualize time-dependent amplitudes across different frequencies. An improved VGG16 model, incorporating a specially designed attention mechanism fusion module, was utilized to accurately assess feeding intensity. The experimental results indicate that the proposed method improves classification accuracy by 1.83% over the original model, achieving 94.37% accuracy, and increases computational speed by 2.77%. The model's performance superiority was further validated by comparisons with other classical network models. This method offers an objective and automated way to detect fish feeding intensity, which can subsequently be applied to improve feed utilization in tilapia farming processes.
Estimating the iron oxidation state of serpentinite using X-ray absorption fine structure spectroscopy
Authors: Yoshida Kazuki , Okamoto Atsushi , Oyanagi Ryosuke , Niwa Yasuhiro , Kimura Masao 
Published: November 2024

Abstract
Iron can exist in serpentinite in various oxidation states. Changes in the oxidation state of Fe play a crucial role in geological processes, including supporting diverse biological systems on the ocean floor and the redox states of aqueous fluids released in subduction zones. Synchrotron X-ray absorption near-edge structure (XANES) spectroscopy has been used to measure the oxidation state of Fe in serpentine minerals; however, a general scheme for estimating the oxidation state of Fe in serpentinite composed of several Fe-bearing minerals has not been established. We have evaluated the accuracy of using XANES spectra to estimate the Fe3+/ΣFe ratio (molar ratio of Fe3+ to total Fe) of physical olivine–magnetite mixtures and serpentinites. Two approaches were tested: (1) linear combination fitting (LCF) and (2) pre-edge peak analysis of XANES spectra. Estimating Fe3+/ΣFe using analysis of the pre-edge peaks was not always suitable when magnetite was included. Using LCF, XANES spectra are well fitted by the optimal combination of Fe-bearing minerals, even for mixtures of magnetite and Fe-bearing silicate minerals (i.e., serpentine and olivine). The Fe3+/ΣFe ratios of the serpentinites were estimated with a root mean squared error (RMSE) of 0.14 with LCF. These results demonstrate that LCF of XANES spectra is useful for estimating the oxidation state of Fe in serpentinites.
Development and Validation of a Diagnostic Model for AKI Based on the Analysis of Ferroptosis-related Genes
Authors: Zhu Hengyue , Yang Xuejia , Yuan Ziwei , Hu Zujian , Guo Yangyang , Bai Yongheng , Zhou Jingzong 
Published: November 2024

Background:
Acute kidney injury (AKI) is a common renal condition associated
with various factors, including pre-renal, post-renal, and renal causes, with ischemia-
reperfusion being a frequent contributor leading to tubular injury. Early identification
of AKI is crucial but remains challenging.

Methods:
This study explored the molecular signature of AKI using gene microarray data
from the GEO dataset, focusing on identifying ferroptosis-related features through
three machine-learning algorithms. We also validated potential biomarkers through a hypoxia/
reoxygenation model.

Results:
ROC curves, expression differences, and associations with immune cells were
analyzed for the three markers to confirm their potential as AKI biomarkers, each demonstrating
strong diagnostic ability. Combining these markers proved more effective.

Conclusion:
The combination of AEBP2, MDM2, and NR4A1 as diagnostic biomarkers
for AKI not only enhances detection capability but also holds promise as a significant
tool in clinical practice, providing patients with diagnostic and therapeutic guidance.
The Computational Tools to Identify DNA Repeats and Motifs: A Systematic Review
Authors: Singh Kavya , Srivastava Shreya , Prabhu Ashish , Kaur Navjeet 
Published: November 2024

Introduction:
DNA repeats and motifs are specific nucleotide patterns/DNA sequences
frequently present in the genomes of prokaryotes and eukaryotes. Computational identification of
these discrete patterns is of considerable importance since they are associated with gene regulation,
genomic instability, and genetic diversity and result in a variety of diseases/disorders.

Objective:
In this article, the myriad of computational tools/algorithms and databases (~200 distinct
resources) implicated in the detection of DNA repeats and motifs have been enlisted. This
article will not only provide guidance to the users regarding the accuracy, reliability, and popularity
(reflected by the citation index) of currently available tools but also enable them to select the
best tool(s) to carry out a desired task.

Methods:
The structured literature review, with its dependable and reproducible research process,
allowed us to acquire 200 peer-reviewed publications from indexing databases, such as Scopus,
ScienceDirect, Web of Science (WoS), PubMed, and EMBASE, by utilizing PRISMA (Preferred
Reporting Items for Systematic Reviews and Meta-Analysis) regulations. Numerous keyword
combinations regarding DNA repeats and motifs were used to create the query syntax.

Results:
Initially, 3,233 research publications were retrieved, and 200 of them that satisfied the
eligibility criteria for the detection and identification of DNA repeats and motifs by computational
tools were chosen. A total of 200 research publications were recovered, of which 99 dealt with
repeat prediction tools, 12 with repetitive sequence databases, 19 with specialized regulatory
element databases, and 69 with motif prediction tools.

Conclusion:
This article lists numerous databases and computational tools/algorithms (~ 200
different resources) that are involved in the identification of DNA repeats and motifs. It will help
users choose the appropriate tool(s) for carrying out a particular task in addition to offering
guidance on the reliability, dependability, and popularity (as indicated by the citation index) of
currently available tools.
Conectividad social y patrones migratorios: un estudio de caso de México a Estados Unidos
Authors: Ayala Cantú Luciano 
Published: November 2024

Propósito: analizar si la conectividad social existente entre residentes mexicanos y residentes estadounidenses influye en los flujos migratorios de México a Estados Unidos.
Diseño metodológico: regresiones lineales con efectos fijos utilizando el Facebook Social Connectedness Index (SCI) como medida de conectividad social entre dos regiones y los registros de matrícula consular como proxy para medir la migración.
Resultados: la conectividad social tiene un efecto positivo en el flujo migratorio entre estados mexicanos y estadounidenses
Limitaciones de la investigación: el análisis descriptivo no es suficiente para establecer causalidad entre las variables de interés. Sin embargo, las correlaciones fuertes siguen siendo informativas.
Resultados: una desviación estándar en nuestra medida de conectividad se asocia positivamente con aproximadamente un 5 por ciento más de tarjetas consulares autorizadas.
Layering versus Displacement
Authors: Martin Scott B 
Published: November 2024

This essay explores the long-term transformation of the welfare regimes--the complex of policies and institutions for social transfers and regulation spreading across health care, retirement security, social assistance, and labor markets--of Brazil and Mexico over the three-decade, 1980-2010 period through the lens of gradual institutional change (GIC) theory in comparative political economy. Both had similar starting point of segmented, corporatist, partially inclusive regimes as of the crisis of import substition and moves more statist, protectionist economic policies to market- and outward-oriented models. It is argued that Brazil's evolution can best be seen through the ideal type of "institutional layering" from GIC theory, with the steady accumulation of programs, benefits, and policies over time, particularly from the new Constitution of 1988 and on through the Cardoso and particular Lula governments. On the other hand, Mexico's welfare regime transformation can best be understood through the GIC category of "displacement" of former programs and principles centered on the organized labor and peasantry and state-society-governing party linkage toward a residualist, market-oriented "asistencialismo," less generous, less inclusive, and more oriented toward the disorganized poor. GIC theory and its typology of forms of institutional change helps us understand and analyze long-range evolution as well as struggles that occur over the interpretation and enactment of insitutional norms and reforms in context such as these--"big-bang," fundamental, "all at once" reforms such as those expected by dominant currents in the literature were rare and instead piecemeal, incremental, cumulative changes were the predominant pattern.
Estatus internacional de Ucrania = International status of Ukraine
Authors: Drnas de Clément Zlata 
Published: November 2024

En este trabajo -ante la posición de la Federación de Rusia (acompañada de China)- sintetizamos los fundamentos jurídicos por los cuales la independencia, integridad territorial y soberanía de Ucrania no son revisables, cualquiera pudiera ser la posición de Estados que pretendieran hacer desaparecer al Estado de Ucrania, escindirlo, crear nuevos Estados o anexarlos a otros, resaltando la invalidez de los reconocimientos internacionales cuando los pretendidos nuevos Estados no son constituidos conforme al Derecho internacional.
ABSTRACT:
In this work - given the position of the Russian Federation (accompanied by China) - we synthesize the legal foundations by which the independence, territorial integrity and sovereignty of Ukraine are not reviewable. This, regardless of the position of States that sought to make the State of Ukraine disappear, split it, create new States or annex it to others, highlighting the invalidity of international recognition when the alleged new States are not constituted in accordance with international law.
Comparison of accuracy of different dental age estimation methods in Finnish and Turkish populations
Authors: Darıcı Aysima , Ölmez Merih Seval , Güngör Hamdi Cem , Rajavaara Päivi , Sipola Annina , Anttonen Vuokko , Päkkilä Jari 
Published: November 2024

Objective: The aims of this study were to assess the accuracy of Cameriere’s and Demirjian’s methods in Finnish children, and compare the findings with those of the Turkish children according to dental age.
Material and methods: Dental panoramic tomography (DPT) of children (482 Finnish, 423 Turkish) aged between 5 and 15 years were evaluated. Comparison of mean difference between estimated and chronological age was evaluated. The difference between two means was analysed using paired t-test at 95% confidence interval (CI). Pearson correlation coefficients were used to estimate the correlation between chronological and estimated ages.
Results: Demirjian’s method resulted in overestimation in all age groups except for 8-year-old girls. Dental age, however, was found to be underestimated with Cameriere’s method in all age groups but 6-year-old girls and boys. In Northern Finnish children, Demirjian’s method was more suitable for boys while Cameriere’s method led to better estimation in girls. When comparing Finnish and Turkish children, differences between dental ages and chronological ages differed significantly in 10-year-old boys and 8-year-old girls with both methods.
Conclusion: Dental age of Turkish children seems higher than that of Finnish children. There is a significant difference between chronological and dental ages in both populations assessed by both methods.