bluuebunny/crossref_metadata_2025_split huggingface dataset:
Areas of GPR application in researches of historical masonry structures
Authors: Jasieńko Jerzy , Raszczuk Krzysztof , Frąckiewicz Piotr 
Published: March 2024

Abstract

Ground Penetrating Radar (GPR) is currently one of the most rapidly developing non-destructive testing method. Widely used in civil engineering and structural engineering, it is also often applied in the field of monument preservation. Since the historic substance is not as homogeneous and predictable as currently used, the use of GPR for its investigation is a challenge for researchers. This study seeks to assist researchers in determining the feasibility of employing GPR for addressing specific challenges related to masonry monuments. The paper compiles case studies on investigations of masonry historic structures using GPR. The problems were systematized and divided according to the GPR application areas. Then the authors created a special masonry research model, which was modified accordingly and examined with a hand-held GPR to verify the conclusions gathered in the scope of the research study. At the end, followed by a discussion, the analysis of the effectiveness of the application of this device in individual areas was carried out.
Evaluation of Sample Pooling for Gene Sequencing of SARS-CoV-2: A Simulation Study
Authors: Chen Heng , Cheng Yue , He Xun , Zhou Yuzhen , Xie Wenjun , Shen Danyun , He Zhiqun , Li Ruidan , Liu Weixuan , Wang Liang , Zhang Xuejun , Zhao Xiang 
Published: March 2024

Abstract
COVID-19 continues to pose a significant public health threat, requiring ongoing epidemiological and genomic surveillance. Next-generation sequencing (NGS) is commonly utilized for monitoring viral evolution at high-cost. Real-time reverse transcription polymerase chain reaction(RT-qPCR) pooling test have been have been demonstrated to increase molecular testing throughput effectively during the pandemic, while pooling sequencing shows promise as a cost-effective tool for monitoring virus variants. A simulation study was conducted to evaluate the efficacy of sample pooling for viral gene sequencing of SARS-CoV-2. In this study, 72 original raw data of gene sequencing results with different lineages were collected and combined to create simulated samples based on five pooling strategies. A bioinformatics tool based on Freyja was utilized to analyze the variant composition of these 70 simulated pooled samples. The genetic composition of the pooled samples mostly recovered the variant compositions of the original samples, with discrepancies between the top X results (where X is the number of original samples included in the mixture)and the complete results (P < 0.05).Variations were observed in the calculation method for the top X results (P < 0.05) but not in the complete calculation approach (P > 0.05) across the five pooling strategy groups. Some original samples of suboptimal quality were not accurately identified. The present results indicated that sample pooling coupled with streamlined genotyping offers a promising approach for cost-effective gene sequencing of SARS-CoV-2, which will aid in genomic surveillance efforts against COVID-19.
Strategic Interplay Between Ports, Sustainability and Spatial Competition: A Game Theoretic Approach
Authors: Younesi Mojdeh , Esmaeili Maryam 
Published: March 2024

Abstract
Ports are vital hubs balancing economic growth and sustainable development imperatives. This paper investigates the strategic competition between two Iranian ports pursuing multimodal and exclusive road freight transportation using sequential spatial game theory. Simulating three scenarios focused on distinct sustainability goals, the model analyzes pricing, subsidies and taxation impacts on ports’ profitability, market dynamics and advancement of sustainable policies. The multimodal port exhibits greater profitability and market dominance across all scenarios, underscoring its viability for supporting Iran’s sustainable growth. While subsidies and discounts promote environmentally friendly multimodal transport, taxation proves less effective for emissions mitigation, indicating a policy pivot is essential. The framework reveals how economic levers and government interventions could potentially optimize environmental performance, social welfare, and job creation in the port sector. By providing a novel sustainability perspective on spatial port competition, these findings offer valuable insights to guide policymaking and management globally. The model's strategic outlook allows evaluating outcomes of decisions and infrastructure interventions for sustainable freight transportation worldwide.
Application of Information and Communication Technology in Solar-Powered Community Micro-irrigation Project, Talwara, Hoshiarpur
Authors: Cutting Nikhil Gladwin , Siag Mukesh , Sharda Rakesh , Gupta O. P. 
Published: March 2024

Abstract
This study explored the application of ICT in a solar-powered community-based micro-irrigation project in Talwara, Hoshiarpur. The study aimed to develop a computer program and an Android application to facilitate equitable distribution and effective communication among farmers and project management. A computer program was developed to create an equitable water distribution schedule for the irrigation project. An Android application was designed to establish a robust communication network between farmers and project management. This platform enables real-time information sharing, enhancing coordination, and decision-making processes. The research findings demonstrate the positive impact of ICT adoption in the project region. After implementing the ICT-based system, significant improvements were observed in crop yields. Wheat, maize, and mustard yields increased by 31.38%, 38.90%, and 67.42%, respectively. Moreover, the project led to substantial increases in gross and net income per hectare, with increases of 37.99% and 81.41%, respectively. The integration of ICT tools in the micro-irrigation project facilitated efficient resource management, timely communication, and equitable distribution of water resources. These technological advancements resulted in substantial productivity gains, improved agricultural outcomes, and increased profitability for the participating farmers. The research outcomes highlight the potential of ICT to enhance agricultural practices, particularly in community-based micro-irrigation projects.
A Cognitive Network Architecture for Vehicle-to-Network (V2N) Communications over Smart Meters for URLLC]{A Cognitive Network Architecture for Vehicle-to-Network (V2N) Communications over Smart Meters for URLLC
Authors: Ahmed Shoaib , Khan Sayonto , Munasinghe Kumudu S. , Hossain Md Farhad 
Published: March 2024

Abstract
With the rapid advancement of smart city infrastructure, vehicle-to-network (V2N) communication has emerged as a crucial technology to enable intelligent transportation systems (ITS). The investigation of new methods to improve V2N communications is sparked by the growing need for high-speed and dependable communications in vehicular networks. To achieve ultra-reliable low latency communication (URLLC) for V2N scenarios, we propose a smart meter (SM)-based cognitive network (CN) architecture for V2N communications. Our scheme makes use of SMs' available underutilized time resources to let them serve as distributed access points (APs) for V2N communications to increase reliability and decrease latency. We propose and investigate two algorithms for efficiently associating vehicles with the appropriate SMs. Extensive simulations are carried out for comprehensive performance evaluation of our proposed architecture and algorithms under diverse system scenarios. Performance is investigated with particular emphasis on communication latency and reliability, which are also compared with the conventional base station (BS)-based V2N architecture for further validation. The results highlight the value of incorporating SMs into the current infrastructure and open the door for future ITSs to utilize more effective and dependable V2N communications.
Serendipity meets synergism: differential enantiomer activities of a RAD51-BRCA2 disruptor towards a more robust synthetic lethality in pancreatic cancer
Authors: Girotto Stefania , Masi Mirco , Poppi Laura , Previtali Viola , Nelson Shannon , Varignani Giulia , De Franco Francesca , Falchi Federico , Albanesi Ennio , Tedesco Daniele , Ciamarone Andrea , Myers Samuel , Martínez Jose Antonio Ortega , Bagnolini Greta , Farabegoli Fulvia , Stefano Giuseppina Di , Pellicciari Roberto , Walsh Naomi , Roberti Marinella , Cavalli Andrea 
Published: March 2024

Abstract
The innovative framework of a fully small molecule-induced synthetic lethality gained increasing attention for its promising application in the selective eradication of cancer cells. Disrupting the interaction between BRCA2 and RAD51, key players in DNA repair by homologous recombination (HR), represents an interesting option within the synthetic lethality paradigm. We previously showed that combining the PARP inhibitor (PARPi) olaparib with the BRCA2-RAD51 disruptor RS-35d, a racemic dihydroquinolone pyrazoline-derivative previously synthetized by us, was efficient in tackling pancreatic ductal adenocarcinoma (PDAC). To deepen our knowledge on this approach, we investigated RS-35d mode of action by characterising the single contribution of the purified two enantiomers, R-35d and S-35d respectively. RS-35d racemate was unveiled to possess a built-in synthetic lethal profile, falling within the paradigm of “within-pathway synthetic lethality”. This opens the way for novel anticancer synthetic lethality strategies towards more robust personalised medicine approaches for unmet medical needs like BRCA-competent and PARP-resistant PDAC.
Genome-Wide Association Study Reveals Novel Associations of Annexin A13 to Secretory and GAS2L2 with Mucous Otitis Media
Authors: Bizaki-Vallaskangas Argyro , Rämö Joel , Sliz Eeva , Kivekäs Ilkka , Willberg Tytti , Saarentaus Elmo , Tolppila-Salmi Sanna , FinnGen  , Dietz Aarno , Haapaniemi Teppo , Hytönen Vesa , Toivola Sari , Palotie Aarno , Mäkitie Antti , Kettunen Johannes 
Published: March 2024

Abstract
Purpose: To evaluate the genetics of chronic non-suppurative otitis media (OM).
Methods: We performed a genome-wide association study of 429,599 individuals included in the FinnGen study using three different case definitions: any type of chronic non-suppurative OM (7,034 cases), mucous chronic OM (5,953 cases), and secretory chronic OM (1,689 cases). Individuals without otitis media were used as controls (417,745 controls). We used immunohistochemistry of the murine middle ear to evaluate the expression of annexin A13.
Results: Four loci were significantly associated (p<1.7x10-8) with non-suppurative OM. Three out of the four association signals included missense variants in genes having a plausible role in otitis media pathobiology. In subtype-specific analyses, one novel locus, near ANXA13, was associated with secretory OM. Three loci (near TNFRSF13B, GAS2L2, and TBX1) were associated with mucous OM. Immunohistochemistry of the murine middle ear samples revealed expression of annexin A13 at the apical pole of the Eustachian tube’s epithelium as well as variable intensity in the secretory cells of the glandular structure in the proximity of the Eustachian tube.
Conclusions: We demonstrate that secretory and mucous OM have distinct and shared genetic associations. The association of GAS2L2 implies a connection with ciliary epithelium function and the pathogenesis of dysfunctional mucosa in mucous OM. The abundant expression of annexin A13 in the Eustachian tube epithelium, along with its implicated role in apical transport for the binding and transfer of phospholipids, indicates the role of annexin A13 and phospholipids in Eustachian tube dysfunction.
Digital Finance Infrastructure and Growth of Commercial Banking Firms in Nigeria
Authors: Iwedi Marshal 
Published: March 2024

Abstract
This study delves into the intricate relationship between digital finance infrastructure and the growth of commercial banking firms in Nigeria. Through a comprehensive analysis of various financial indicators and statistical tests, we offer critical insights into the dynamics of the Nigerian banking sector. The findings reveal a resilient and steadily growing banking industry, even in the face of economic challenges and the global COVID-19 pandemic. Key highlights include the exponential rise in digital infrastructure, exemplified by the proliferation of Automated Teller Machines (ATMs), Point of Sale (POS) machines, and web banking accounts. These digital channels have significantly influenced the accessibility and convenience of banking services in Nigeria. Our analysis employs correlation, regression, and Granger causality tests to explore the intricate relationships between bank total assets and digital infrastructure components. While positive correlations between bank total assets and digital infrastructure components suggest a strong link between technological expansion and banking growth, the analysis reveals nuanced relationships. Particularly, the unexpected negative impact of ATMs on bank total assets warrants further investigation. The decline in the number of POS machines in 2022 poses questions about the factors contributing to this trend. Furthermore, while web banking accounts have grown significantly, their influence on bank total assets remains limited. Our findings emphasize the paramount importance of continued investments in digital finance infrastructure for the Nigerian banking sector's growth. However, they also underscore the need for a more profound understanding of the underlying drivers of these trends. This study offers valuable insights for policymakers, financial institutions, and researchers interested in fostering financial inclusion and optimizing digital banking services in Nigeria's ever-evolving financial landscape.
Structure in prime gaps
Authors: KAUNDA KAJANI 
Published: March 2024

Abstract

We define a Cayley Table T from the structure (J,+) based on a subset J of Z containing prime numbers and their arithmetic inverses, which we then use as a model of gaps between primes of the form palpha - 3. Using definitions of the relationships between primes and their gaps derived from T, we prove the existence of infinitely many pairs of primes, (pn, pn+m), such that (pn+m - pn) = (palpha - 3) where n, alpha >= 3 and m >= 1 and pn is the nth prime. Finally, we use this result to show the existence of infinitely many pairs of prime numbers with a gap of 2.
MSC Classification: 11N05 , 11B05
The effect of trait anger on depression from the perspective of age and gender—A moderated mediating effect with age as the moderating variable
Authors: han zhe 
Published: March 2024

Abstract

Background: Previous studies have shown that there is a positive correlation between anger and depression, which are usually in the form of "comorbid". However, the complex relationship mechanism of the interaction between anger and depression is rarely involved. Inspired by the traditional Chinese medicine theory of "anger beyond depression", this paper explores the formation mechanism of endogenous factors of trait anger and reactive factors of life events on depression and the influence of age and gender on the mechanism of depression.
Methods: In this study, 89 normal healthy subjects were randomly selected as the reference group, and 115 outpatients with depression were selected as the control group. The above variables were analyzed using the statistical software SPSS and PROCESS.
Results: It is concluded that trait anger has a significant complete mediating effect on depression with life events as a mediator(R12=0.05.F1=6.30;R22=0.13.F2=8.02) for the control group. On this basis, we will further explore the moderating effect of age on the above mediations and the gender differences in depression(R1^2=0.09.F1=3.56; R2^2=0.13.F2=8.02) to obtain new depression diagnoses, intervention paths and secondary prevention measures.
Conclusions: This study is as follows: (1) There is a significant and complete mediating effect of trait anger on depression with life events as mediating variables in the control group. On the other hand, there is no significant mediating effect on this relationship in the reference group. (2) There was a significant gender difference in depression in the reference group, but the gender difference in depression in the control group was not significant. (3) Age has a significant moderating effect on the end of the above mediating effect (trait anger to life events) in the control group. When the age value is greater than the critical value, it can significantly positively predict that age moderates the mediating effect with depression, but there is no significant correlation between age and depression in the reference group.
A statement of Public Significance: These conclusions explain the effects of gender on depression and age as a moderating variable in the mediating model, which provides a new perspective and thinking for the diagnosis and prevention of depression.
Prediction of COD in Industrial Wastewater Treatment Plant using Artificial Neural Network
Authors: Mesutoğlu Özgül Çimen , Gök Oğuzhan 
Published: March 2024

Abstract

In this investigation, the modeling of the Aksaray industrial wastewater treatment plant was undertaken using artificial neural networks with various architectures in the Matlab software. The dataset utilized in this study was collected from the Aksaray wastewater treatment plant over a nine-month period through daily records. The treatment efficiency of the plant was assessed based on the output values of Chemical Oxygen Demand (COD). Principal Component Analysis (PCA) was applied to furnish input for the Artificial Neural Network (ANN). The model's performance was evaluated using the Mean Squared Error (MSE) and correlation coefficient (R2) parameters. The optimal architecture for the neural network model was determined through several trial and error iterations. According to the modeling results, the ANN exhibited a high predictive capability for plant performance, with a R2 reaching up to 0.9997 when comparing the observed and predicted output variables.
Reactive media constructed wetland for phosphorus removal: assessing the opportunity and challenges
Authors: Murujew Olga , Le Corre Kristell , Wilson Andrea , Bajón Fernández Yadira , Vale Peter , Jefferson Bruce , Pidou Marc 
Published: March 2024

ABSTRACT
Reactive media present an alternative to gravel in constructed wetlands and have the potential to sustainably and efficiently remove phosphorus from wastewater. In this study, a full-scale steel slag wetland has been operated for its whole lifecycle at which 1.39 mg P/g media were retained. During its lifecycle, this wetland met strict consents below 0.5 mg P/L for the first 6 months and was operated for 266 and 353 days before the effluent phosphorus concentration rose above the typical consents of 1 and 2 mg P/L, respectively. A detailed analysis of the system demonstrated that the performance was directly associated with the release of materials from the media into the water which in turn affected other critical parameters such as pH. Further analysis of the media suggested that greater understanding was needed concerning the role of carbonates and in particular calcite if steel slag is to be effectively managed for use on constructed wetlands. Importantly, controlled release of calcium oxide from the media surface is required by managing the concerns of pH and vanadium release.
Spatiotemporal analysis of precipitation variability based on entropy over Iran
Authors: Darand Mohammad , Pazhoh Farshad 
Published: March 2024

Abstract

This study was conducted to identify variability in precipitation entropy and specify the water resource zones of Iran. Precipitation data with a spatial resolution of 0.25° during the period from 01/01/1962 to 31/12/2019 were used. For the investigation of variability in precipitation entropy over Iran, two indices were applied: entropy and disorder. The results demonstrated that the maximum occurred at the Caspian coasts and the minimum observed at the southern coasts of Iran. Most areas over the country have encountered negative trends in the entropy index. The rates of the entropy index have decreased, and the mean rate of the disorder index has increased. An analysis of variability in the extension of water resource zones in terms of the entropy index demonstrated that Iran could be divided into four zones: abundant and permanent; deficient and permanent; deficient and concentrate; and abundant and concentrate. After 1998, the abundant, permanent zone in the northern, high-altitude half of the country, the abundant, concentrated zone in the southwest, and the zone with deficient and permanent precipitation in the northern half of the central parts have become less extensive, while the zone with deficient and concentrate precipitation has become more extensive toward the northern latitudes.
Assessing the consequences of climate variability in the Wadi Saida watershed, Northwestern Algeria
Authors: Dahmani Meriem Nadia , Baba-Hamed Kamila , Bouanani Abderrazak 
Published: March 2024

Abstract

North Africa is identified as one of the most susceptible regions to the impacts of climate change. With potential consequences for food security, water supply, and extreme weather events, understanding climate variability is of paramount importance. This study delves into the Wadi Saida watershed in the Algerian highlands, a region vulnerable to such changes. The study employs a set of data and analytical tools to assess climate variability in the Wadi Saida watershed. These methods include the standardized precipitation index (SPI), climate moisture index (CMI), the Pettitt test, Bayesian modeling using the LEE and HEGHINIAN methods, and Hubert segmentation. Additionally, statistical tests for rupture detection are applied to identify abrupt changes in the climate data. The application of these methods and statistical tests has yielded noteworthy findings. Firstly, the study highlights climate variability characterized by alternating wet and dry periods. This fluctuation in precipitation and moisture conditions underscores the dynamic nature of the region's climate. Secondly, the study has successfully detected critical rupture points, particularly in the years 2002, 2005, and 2007. These years signify significant shifts in climate patterns and potentially hold the key to understanding the impacts on water resources and environmental stability in the region.