bluuebunny/crossref_metadata_2025_split huggingface dataset:
Groundwater quality assessment for drinking and irrigation applications in Northen of Algeria: Indexing and statistical approach
Authors: Guendouzi Yassine , Zamiche Samira , Benhalima Moustafa 
Published: May 2024

Abstract

The present investigation aims to evaluate the quality of groundwater in the agricultural region of Tipasa, North Algeria. 72 samples of groundwater were taken from 12 domestic boreholes to study the pH, EC, TDS, cations (like Ca2+ and Mg2+) and anions (like Cl-, SO42-, NO3-, and HCO3-) in the water. The groundwater quality was slightly alkaline (pH > 7). The drinking water quality index ‘WQI’ ranged from 98.07 to 179.43 and categorized the groundwater as poor for drinking (92%). Irrigation indices were used to investigate the viability of groundwater for irrigation. The sodium hazards are measured through the sodium adsorption ratio (SAR) and sodium percentage (%Na). According to the SAR values, most of the samples were deemed suitable for irrigation. The Wilcox diagram illustrates that 91.67% falls of groundwater fell into the C3S1 category, with high salinity and low sodium hazards. According to a statistical analysis, NO3- has the greatest impact on groundwater quality, showing how agricultural activity affects the quality of groundwater.
Multicomponent alloys designed to sinter
Authors: Naunheim Yannick , Schuh Christopher A 
Published: May 2024

Abstract

Powder sintering is a low-energy, net-shape processing route for many new products in the additive manufacturing space. We advance the viewpoint that for future manufacturing, alloys should be designed from materials science principles to sinter quickly at lower temperatures and with controlled final microstructures. Specifically, we illustrate the computational design of a multinary Ni-base alloy, whose chemistry permits a low-temperature solid-state sintering scheme without any pressure- or field-assistance, as well as heat-treatability after sintering. The strategy is based on sequential phase evolutions designed to occur during sintering. The reactions involve rapid reorganization of matter to full density in cycles up to just 1200°C, while conventional Ni alloys sintered in the solid-state require about ten times longer, or more than 250°C degrees higher temperature. Our approach yields an alloy that benefits from precipitation hardening, has an increased strength ~ 50% higher than solid-state processed commercial Ni alloys, and yet exhibits extensive plasticity beyond 35% uniaxial strain. The results point to a generalizable design scheme for many other alloys designed for solid-state powder processing that can enable greater value from additive manufacturing.
Intrusion Detection System Using Hybrid model
Authors: Chebbi Imen , Younes Ahlem Ben , Ayed Leila Ben 
Published: May 2024

Abstract

Technology and network industries have advanced quickly in recent decades.The expansion of piracy and the compromise of many existing systems has made it essential to develop information security solutions that can identify new threats. In order to address these issues, this work proposes a system called IDS-AI that is based on artificial intelligence techniques. It is capable of detecting recent and dispersed invasions. We employed an auto-encoder for features reduction and two models to assess CNN and SVM in order to evaluate our strategy. The experimental analysis of the dataset demonstrates the suggested model’s capability to produce reliable results. On the UNSW-NB15 dataset, our model actually achieves 99.58% and 99.66% accuracy for SVM and CNN, respectively.
Export Diversification Drive: the Role of Nigerian Manufacturing Sector
Authors: M Abiola Olawale 
Published: May 2024

Abstract

This research delves into the enigmatic relationship between Nigeria's manufacturing sector and the nation's drive for export diversification.Leveraging a regression analysisand time series data from 1985 to 2022, it paints a nuanced picture of their complex interplay. The analysis confirms the stationarity of all variables at first differenced.Additionally, the Johansen co-integration test reveals a long-run equilibrium relationshipbetween them, suggesting that while their short-term fluctuations may diverge, they are ultimately bound by a deeper interdependence. The analysis exposes a weak and negative associationbetween the two, hinting at the meagre contribution of the manufacturing sector to export diversification during the studied period. This underscores the need for a critical reevaluation and targeted interventions to unlock the sector's potential as a powerful engine of export growth. Therefore, the study advocates for a paradigm shift in approach. Instead of government’s piecemeal efforts, it should champion the creation of a robust and vibrant manufacturing ecosystem, pulsating with innovation and productivity. This vision will envision modern factories humming with cutting-edge processes, meticulously crafting high-quality goods capable of holding their own on the global stage. From value-added agricultural products to sophisticated machinery, the potential portfolio of Nigerian exports is vast and brimming with promise.
Static and Dynamic Connectivity Structure of White-Matter Functional Network across the Adult Lifespan
Authors: Linli Zeqiang , Hu Kang , Guo Qiangdong , Guo Shuixia 
Published: May 2024

Abstract

Background. The maturation and ageing of the human brain involve intricate biological processes that result in complex changes in brain structure and function. Although the effects of aging on functional connectivity within gray matter (GM) regions have been extensively studied, the investigation of white matter (WM) functional changes remains limited.
Methods. In this study, our aim was to investigate age-related trajectory in WM functional dynamics using resting-state functional magnetic resonance imaging (rs-fMRI) data from a large lifespan sample of 494 individuals. First, GM and WM functional networks (FNs) were identified by k-means clustering. Next, we performed static and dynamic analysis of WM functional network connectivity (FNC) to explore age effect on WM-FNs. Furthermore, we investigated recurrent patterns of dynamic FNC. Finally, we conducted several validation analyses to ensure replicability.
Results. We identified 9 reliable WM and 12 GM FNs. The findings revealed age-related effects on WM FNC strength and WM-GM FNC dynamics, primarily including linear positive and U-shaped age trajectories in static FNC strength, as well as linear negative and inverted U-shaped age trajectories in FNC temporal variability. Additionally, we identified three distinct brain states with significant age-related differences. The aforementioned findings were largely replicated in the validation analysis.
Conclusion. High integration and low temporal variability in WN-GM FNC may reflect a less efficient network system in older adults. These findings enhance our understanding of brain aging processes and provide insights into the trajectory of WM functional dynamics during normal ageing.
Multi-metric biomonitoring of a seasonally flooded Baraila wetland using benthic macroinvertebrates as indicator organisms in the middle Ganga River Basin (Vaishali), India
Authors: Divya  , Kumari Anupma 
Published: May 2024

ABSTRACT

Human encroachment, urban and agricultural expansion, frequent droughts, eutrophication, infestation of weeds, and overexploitation of resources has predominantly impacted the water quality and biodiversity of the Baraila wetland. The present seasonal study has aimed to explore an under-researched subject of analyzing the water quality of the wetland through multi-metric biomonitoring approaches in 2022. A total of 24 water and benthic samples were collected from the four sampling locations. All the water parameters were within a suitable range to support a diverse range of flora and fauna, except total suspended solids (TSS) and nutrients, indicating toward the impact of agricultural expansion in the wetland's area. Of the 13 identified families of benthic macroinvertebrates, the semi-tolerant families of Viviparidae and Bithyniidae have dominated the wetland, with a relative abundance of 27.04 and 37.77%, respectively, in the comparative seasons. Moreover, the indices used in the study have categorized the wetland under moderately polluted condition. The Hierarchical Cluster Analysis (HCA) has revealed the sensitivity toward organic pollution and habitat preferences has played a major role in the species-specific assemblage of benthic community. The Mantel's correlogram further validates that the moderately polluted status of wetland has favored semi-tolerant to tolerant fauna in the wetland.
pH/ Temperature/ Redox and Light-responsive Polymersome Structure and Application in Cancer Therapy: Smart Drug Delivery and Targeted Drug Release
Authors: Soleymani Sina , Naghib Seyed Morteza , Mozafari M. R. 
Published: May 2024

Abstract:
Improvements in cancer treatment are largely influenced by more people
knowing about it and developing new ways to diagnose and treat it. New methods such
as nanotheranostics and the use of tiny particles have greatly improved the diagnosis,
control and treatment of cancer. They have also helped overcome problems with traditional
treatments. Nanotheranostics contribute to personalized medicine by helping doctors
choose the right treatment, track how well the treatment works, and plan future treatments.
Polymers have many advantages as smart or durable drug formulations among
small therapeutic platforms. These small sacks, which can be used for drug delivery and
imaging, are not harmful to natural tissues and are becoming more popular. Scientists
have found a special group of tiny particles made of polymers that can carry active ingredients.
These particles show the potential of creating a useful platform for the diagnosis
and treatment of diseases on a very small scale. In the past ten years, people have become
more interested in polymersomes. They have been used for various medical purposes,
such as controlling blood sugar, treating cancer and fighting bacteria. Polymers
are stronger and more stable than liposomes. Biocompatible and biodegradable polymers
are very important for faster translation and creation of useful medical formulations.
Recent progress in this field includes the creation of intelligent, centralized and responsive
containers. In this review, we will examine and provide information about polymersomes.
We will discuss their properties and how they can be used as drug delivery
systems.
Rizaetdin Fakhretdin (1859–1936) as a Founder of Faizkhanov Studies
Authors: Mukhetdinov D. V. 
Published: May 2024

This article is timed to the 165th anniversary of the major Muslim theologian of Russia Rizaetdin Fakhretdin (1859–1936) and deals with the examination of his works on the life and activities of Husain Faizkhanov (1823–1866). The article shows that R. Fakhretdin was the author of the ﬁrst works specially devoted to Kh. Faizkhanov and thus actually became the founder of Faizkhanov Studies. The article analyses the materials of R. Fakhretdinov’s materials published in the biographical work Asār (1908), the journal Shura (1916), and some unpublished works that appeared later are analysed. The article shows that R. Fakhretdin was purposefully engaged in the study of H. Faizkhanov’s activities and also purposefully collected the related materials. The range of sources he used is wide and varied. The main of them was the manuscript work of Shikhabetdin Marjani (1818– 1889) Vaﬁyyat al-’aslāf va takḥiyyat al-’akḫlāf, supplemented by documentary materials and oral testimonies obtained as a result of R. Fakhretdin’s own research. He details a number of information reported by Sh. Marjani. Some reports and comments of R. Fakhretdin were conﬁrmed as a result of subsequent research.
Does artificial intelligence predict orthognathic surgical outcomes better than conventional linear regression methods?
Authors: Park Ji-Ae , Moon Jun-Ho , Lee Ju-Myung , Cho Sung Joo , Seo Byoung-Moo , Donatelli Richard E. , Lee Shin-Jae 
Published: May 2024

ABSTRACT

Objectives
To evaluate the performance of an artificial intelligence (AI) model in predicting orthognathic surgical outcomes compared to conventional prediction methods.

Materials and Methods
Preoperative and posttreatment lateral cephalograms from 705 patients who underwent combined surgical-orthodontic treatment were collected. Predictors included 254 input variables, including preoperative skeletal and soft-tissue characteristics, as well as the extent of orthognathic surgical repositioning. Outcomes were 64 Cartesian coordinate variables of 32 soft-tissue landmarks after surgery. Conventional prediction models were built applying two linear regression methods: multivariate multiple linear regression (MLR) and multivariate partial least squares algorithm (PLS). The AI-based prediction model was based on the TabNet deep neural network. The prediction accuracy was compared, and the influencing factors were analyzed.

Results
In general, MLR demonstrated the poorest predictive performance. Among 32 soft-tissue landmarks, PLS showed more accurate prediction results in 16 soft-tissue landmarks above the upper lip, whereas AI outperformed in six landmarks located in the lower border of the mandible and neck area. The remaining 10 landmarks presented no significant difference between AI and PLS prediction models.

Conclusions
AI predictions did not always outperform conventional methods. A combination of both methods may be more effective in predicting orthognathic surgical outcomes.
Orthodontic treatment outcome predictive performance differences between artificial intelligence and conventional methods
Authors: Cho Sung Joo , Moon Jun-Ho , Ko Dong-Yub , Lee Ju-Myung , Park Ji-Ae , Donatelli Richard E. , Lee Shin-Jae 
Published: May 2024

ABSTRACT

Objectives
To evaluate an artificial intelligence (AI) model in predicting soft tissue and alveolar bone changes following orthodontic treatment and compare the predictive performance of the AI model with conventional prediction models.

Materials and Methods
A total of 1774 lateral cephalograms of 887 adult patients who had undergone orthodontic treatment were collected. Patients who had orthognathic surgery were excluded. On each cephalogram, 78 landmarks were detected using PIPNet-based AI. Prediction models consisted of 132 predictor variables and 88 outcome variables. Predictor variables were demographics (age, sex), clinical (treatment time, premolar extraction), and Cartesian coordinates of the 64 anatomic landmarks. Outcome variables were Cartesian coordinates of the 22 soft tissue and 22 hard tissue landmarks after orthodontic treatment. The AI prediction model was based on the TabNet deep neural network. Two conventional statistical methods, multivariate multiple linear regression (MMLR) and partial least squares regression (PLSR), were each implemented for comparison. Prediction accuracy among the methods was compared.

Results
Overall, MMLR demonstrated the most accurate results, while AI was least accurate. AI showed superior predictions in only 5 of the 44 anatomic landmarks, all of which were soft tissue landmarks inferior to menton to the terminal point of the neck.

Conclusions
When predicting changes following orthodontic treatment, AI was not as effective as conventional statistical methods. However, AI had an outstanding advantage in predicting soft tissue landmarks with substantial variability. Overall, results may indicate the need for a hybrid prediction model that combines conventional and AI methods.
A contribuição da espiritualidade cristã para a gestão de pessoas nas organizações
Authors: Pereira Lima Edson , Silva Correia Kristhian , Studart de Meneses Liza Maria , Oliveira Francisco Roberto Pereira de , Campos Rejane Chaves , Amaral Jeferson Falcão do 
Published: May 2024

O presente artigo tem como objetivo descrever as contribuições da espiritualidade cristã na gestão de pessoas dentro das organizações. Foi realizado levantamento bibliográfico em bibliotecas virtuais e no Google acadêmico. A abordagem da pesquisa parte do Princípio Cristão da Subsidiariedade da Doutrina Social da Igreja que visa colocar o homem, e não o lucro, no centro da atividade empresarial, potencializando seus dons ao invés de negligenciá-los, vendo-o como pessoa humana que tem muito a dar e muito a receber e não como recurso a ser usado ou capital a ser explorado.
Revisiting political pragmatism and education
Authors: Oliveira Nythamar 
Published: May 2024

By placing John Dewey between John Rawls and Richard Bernstein, I argue for a socialist reading of Dewey’s takes on liberal democracy that moves away both from conservative readings of Dewey of those who claim that his democratic liberalism actually belongs to right-wing or center views, and from left-wing, communitarians who dismiss such views as irrelevant for socialist and radical variants of liberal democracy. Overall, it can be shown that Rawls and Dewey’s different takes on political liberalism could be ultimately reconciled, given their similar takes on democracy, pluralism, and the person. Rawls’ rehabilitation of Kant can itself be shown to be closely related to his reading of Dewey. Furthermore, as Bernstein argues, such a renewal of Dewey’s social and political philosophy in Rawls’s political constructivism and reflective equilibrium was decisive for the great pragmatist turn observed in the second, third, and fourth generations of critical theory, not only in the so-called Frankfurt School (especially Habermas, Honneth, Forst) but also in feminist and decolonial thinkers such as Nancy Fraser, Seyla Benhabib, Judith Butler, Rahel Jaeggi, and Amy Allen. Dewey’s pragmatist turn in political philosophy allows thus for a dynamic, robust correlation between radical democracy and public education, which could be implemented in emerging democracies like Brazil.
Actores comunitarios y comunidades turísticas en la implementación del Programa Pueblos Turísticos (Provincia de Buenos Aires)
Authors: Bonanno Flavio Adrián 
Published: May 2024

Este artículo analiza una serie de actorías sociales emergentes en un contexto de implementación de turismo comunitario cuya evocación convoca a la participación de una supuesta comunidad local. Para ese propósito, me valgo del estudio del Programa Pueblos Turísticos de la Provincia de Buenos Aires, y su implementación en tres localidades.
La ponencia expone resultados discutidos en una investigación previa, la cual se valió de un estudio cualitativo compuesto por análisis documental, observación de campo sobre momentos de intervención de la política y entrevistas a actores clave, con el objetivo de caracterizar a ciertos actores en su proceso de integración en mecanismos de gestión turística comunitaria, a la vez que debate sobre posibles modalidades participativas. Sobre lo primero, eje tratado por este trabajo, se estudian una serie de actores locales caracterizados como actores turísticos comunitarios; a la vez, se identifican entramados sociales a los que he denominado comunidades turísticas, las cuales expresan el interés local mayoritario en los distintos momentos de intervención.
Estos conceptos favorecen comprender el proceso abordado, y contribuyen con nuevas posibles lecturas sobre turismo comunitario, políticas de promoción e intervención en localidades no urbanas, con proyección a debates académicos, así como al diseño futuro de políticas turísticas.
Noncombat injury and illness prevalence and working score percentage quantify the impact on duty availability in US Army Special Operations military working dogs
Authors: Harroun-White Hailey E. , Facciolla Cynthia A. , Knobbe Marc G. 
Published: May 2024

Abstract

OBJECTIVE
This cross-sectional study determined the 2-year period prevalence and quantified the impact on working status of noncombat injury and illness by a working score percentage (WSP) based on the number of duty days lost (DDL).

ANIMALS
126 dogs from 9 US Army Special Operations kennels.

METHODS
Dog injury and illness events between May 1, 2021, and April 30, 2023, were recorded to determine period prevalence and calculate a WSP metric to quantify loss of duty status.

RESULTS
93 health events occurred in 62 of 126 (49.2%) dogs over a 24-month period resulting in 4,130 DDL. The period prevalence was 25 of 126 (19.8%) for dental injuries, 20 of 126 (15.9%) for musculoskeletal injuries, and 13 of 126 (10.3%) for gastrointestinal illnesses. Musculoskeletal conditions resulted in the highest total DDL at 1,472 (35.6%) in 20 dogs, followed by neurologic conditions at 950 (23%) in 4 dogs and heat injuries at 521 (12.6%) in 7 dogs. The total population 24-month mean WSP was 88.1% (95% CI, 86.6 to 89.5). The mean WSP for 43 dogs with acute events was 96.0% (95% CI, 95.0 to 97.0), and the mean WSP for 14 dogs with chronic events was 55.2% (95% CI, 47.8 to 62.5).

CLINICAL RELEVANCE
Quantifying the impact of noncombat illness and injury on the working status of military working dogs is the first step to identify risk factors, develop preventive strategies, resource veterinary care requirements, and improve these canine athletes’ health and welfare. The metrics developed in this study can be used to evaluate the population health of working, herding, and sport dogs.
A study on the correlation between the digital economy and resource allocation efficiency in the context of factor mobility
Authors: Zhang Yongcai 
Published: May 2024

Abstract
In the context of the rapid development of the Internet, the digital economy has become an important growth engine, which has an important impact on the optimization of resource allocation. This paper takes the digital economy for resource allocation efficiency as the research framework and explores the impact mechanism of the digital economy from the perspective of factor flow. After relevant data research, the development capacity of the digital economy has an important positive impact on both capital and labor dimensions in terms of resource allocation, and the digital economy can balance the way of resource allocation in different regions under the perspective of factor mobility. The current analysis of regional heterogeneity shows that the impact of the digital economy in China’s inland regions is higher than that in China’s coastal regions. Based on the above conclusions, this study suggests that it is necessary to further develop digital technology, promote the deepening reform of government policies, regulations, and institutions, and promote the reform of the factor market, to enhance the efficiency enhancement of the digital economy in the allocation of resources.