bluuebunny/crossref_metadata_2025 huggingface dataset:
Dupilumab (Dupixent)
Authors: CADTH
Published: December 2023

CADTH reimbursement reviews are comprehensive assessments of the clinical effectiveness and cost-effectiveness, as well as patient and clinician perspectives, of a drug or drug class.

The assessments inform non-binding recommendations that help guide the reimbursement decisions of Canada's federal, provincial, and territorial governments, with the exception of Quebec.

This review assesses dupilumab (Dupixent), 200 mg single-use syringe (200 mg per 1.14 mL) and 300 mg single-use syringe (300 mg per 2 mL), subcutaneous injection.

Indication: For the treatment of patients aged 6 months and older with moderate-to-severe atopic dermatitis whose disease is not adequately controlled with topical prescription therapies or when those therapies are not advisable. Dupilumab can be used with or without topical corticosteroids.
Artificial Intelligence–Enhanced Rapid Response Electroencephalography for the Identification of Nonconvulsive Seizure
Authors: Madakadze Candice , McGill Sarah C.
Published: December 2023

What Is the Issue?

A nonconvulsive seizure is seizure activity defined by an altered mental status, subtle limb twitches, or changes in speech. They are more difficult to identify than convulsive seizures as they do not have the distinctive motor activity associated with convulsive seizures.

Patients in emergency departments (EDs) and intensive care units (ICUs) with suspected nonconvulsive seizures must be monitored with an electroencephalogram (EEG) to confirm diagnosis. Rapid detection of nonconvulsive seizures is crucial — a delay in treatment risks brain injury.

There can be significant delays in accessing conventional EEG monitors and treatment because of limited supply in critical care settings, such as EDs and ICUs.

What Is the Technology?

The Ceribell system is a rapid response point-of-care EEG designed for use in the ED and ICU to help identify patients who are having nonconvulsive seizures.

The portable device has an artificial intelligence (AI) algorithm, Claritγ, that monitors seizure activity within a 5-minute interval to determine the seizure burden during that time frame. The device alerts a bedside care provider if seizure activity occurs. This information can guide physicians’ treatment plans.

What Is the Potential Impact?

Within the ED and ICU, Ceribell could be used to increase access to EEG, allowing for faster detection of nonconvulsive seizures.

Conventional EEG monitors are expensive and usually require a trained specialist to use and interpret findings. Most hospitals have limited access to conventional EEGs, which can lead to delays in treating patients with nonconvulsive seizures.

In critical care settings, Ceribell may improve efficiency and patient flow by shortening time to diagnosis, preventing unnecessary treatment escalation, decreasing transfers to tertiary care hospitals.

What Else Do We Need to Know?

The Ceribell system is not available in Canada as of this writing.

The Ceribell system could improve time to treatment for patients with suspected nonconvulsive seizures due to the complexity and personnel needs of conventional EEG systems.

Current research on the Ceribell system has mostly been retrospective with small sample sizes; therefore, the results may not be generalizable to a wider population.

If the system is implemented in hospitals, training is required to ensure that all health care professionals in the ED or ICU know when to order the portable EEG so that the use of Ceribell is prioritized for patients with suspected nonconvulsive seizures.

Datasets used to train AI algorithms tend to underrepresent equity-deserving groups, so implementing AI systems such as Ceribell with Clarity in health care settings could increase health care inequity for those not well represented in algorithm data.
Long-term Evaluation of Commercial Air Quality Sensors: An Overview from the QUANT Study
Authors: Diez Sebastian , Lacy Stuart , Coe Hugh , Urquiza Josefina , Priestman Max , Flynn Michael , Marsden Nicholas , Martin Nicholas A. , Gillott Stefan , Bannan Thomas , Edwards Pete
Published: December 2023

Abstract. In times of growing concern about the impacts of air pollution across the globe, lower-cost sensor technology is giving the first steps in helping to enhance our understanding and ability to manage air quality issues. While the benefits of greater spatial coverage and real-time measurements that these systems offer are evident, challenges still need to be addressed regarding sensor reliability and data quality. Given the limitations imposed by intellectual property, commercial implementations are often "black boxes", which represents an extra challenge as it limits end-users' understanding of the data production process. In this paper we present an overview of the QUANT (Quantification of Utility of Atmospheric Network Technologies) study, a comprehensive 3-year assessment across a range of urban environments in the United Kingdom. QUANT stands out as one of the most comprehensive studies of commercial air quality sensor systems carried out to date, encompassing a wide variety of companies in a single evaluation and including two generations of sensor technologies. Integrated into an extensive data set open to the public, it was designed to provide a long-term evaluation of the precision, accuracy, and stability of commercially available sensor systems. This overview discusses the assessment methodology, and key findings showcasing the significance of the study. The results shown here highlight the significant variation between systems, the incidence of corrections made by manufacturers, the effects of relocation to different environments and the long-term behaviour of the systems. Additionally, the importance of accounting for uncertainties associated with reference instruments in sensor evaluations is emphasised. Practical considerations in the application of these sensors in real-world scenarios are also discussed, and potential solutions to end-users data challenges are presented. Offering key information about the sensor systems' capabilities the QUANT study will serve as a valuable resource for those seeking to implement commercial solutions as complementary tools to tackle air pollution.
Conceptualising surface water-groundwater exchange in braided river systems
Authors: Wilson Scott , Hoyle Jo , Measures Richard , Di Ciacca Antoine , Morgan Leanne K. , Banks Eddie W. , Robb Linda , Wöhling Thomas
Published: December 2023

Abstract. Braided rivers can provide substantial recharge to regional aquifers, with flow exchange between surface water and groundwater occurring at a range of spatial and temporal scales. However, the difficulty of measuring and modelling these complex and dynamic river systems has hampered process understanding and the upscaling necessary to quantify these fluxes. This is due to an incomplete understanding of the hydrogeological structures which control river-groundwater exchange. In this paper, we present a new conceptualisation of subsurface processes in braided rivers based on observations of the main losing reaches of three braided rivers in New Zealand. The conceptual model is based on a range of data including: lidar, bathymetry, coring, particle size distribution, groundwater, temperature monitoring, radon-222, electrical resistivity tomography, and fibre optic cables. The combined results indicate that sediments within the recently active river braidplain are distinctive, with sediments that are poorly consolidated and better sorted compared to adjacent deposits from the historical braidplain, which become successively consolidated and intermixed with flood silt deposits due to overbank flow. A distinct sedimentary unconformity, combined with the presence of geomorphologically distinct lateral boundaries, suggests that a “braidplain aquifer” forms within the active river braidplain through the process of sediment mobilisation during flood events. This braidplain aquifer concept introduces a shallow storage reservoir to the river system, which is distinct from the regional aquifer system, and mediates the exchange of flow between individual river channels and the regional aquifer. The implication of the new concept is that surface water-groundwater exchange occurs at two spatial scales. The first is hyporheic and parafluvial exchange between the river and braidplain aquifer. The second is exchange between the braidplain aquifer and regional aquifer system. Exchange at both scales is influenced by the state of hydraulic connection between the respective water bodies. This conceptualisation acknowledges braided rivers as whole “river systems”, consisting of channels, and gravel aquifer. This work has important implications for understanding how changes in river management (e.g., surface water extraction, bank modification and gravel extraction) and morphology may impact groundwater recharge, and potentially river flow, temperature attenuation, and ecological resilience during dry conditions.
GENERATION OF 3-D LARGE-SCALE MAPS USING LIDAR POINT CLOUD DATA
Authors: Dhruwa L. , Garg P. K.
Published: December 2023

Abstract. 3-Dimensional geospatial data is essential for creating and utilizing real-world visualizations for analyzing infrastructure design improvements. However, techniques exist such as Total Station, Global Positioning System (GPS), and Google Earth data. Traditionally 3D maps were constructed using simple measurements of angles and distances, providing a planimetric representation of the area with a limited number of cross-sections to reflect the built-up area. However, Terrestrial laser scanning (TLS) is an efficient technique for capturing dense point clouds to construct detailed information models for large-scale built-up areas. In recent years, advancements in the measurement of speed, reduction of size and cost, and portability of these technologies have revolutionized 3-D data collection. This article discusses the methodological framework and 3-D mapping accuracy by adopting terrestrial laser scanning to map a built-up area having different features. Point cloud data collected in the form of scans were processed and registered using Faro Scene software with an overall registration error of 14 mm (RMSE). Finally, it creates a 3-D map of the built-up area having planimetric and elevation accuracy analyses. It will be used for spatial analyses or simulating the interaction of surface and subsurface processes contributing to urban and rural planning development in a 3-D GIS environment and for smart cities. The method presented here provides a different way for achieving large-scale maps with greater accuracy, which will be applicable in identifying and monitoring the deformations in the built-up areas and in various disaster mitigation.
HERITAGE DECAY VISIBLE IN HBIM MODELS
Authors: Bolognesi C. M. , Garipova A. , Kuznetsova M.
Published: December 2023

Abstract. The research purpose aims to develop and analyse a workflow centred around decay representation within a selected BIM modelling environment. It involves conducting a comparative analysis based on accuracy criteria, process complexity, estimation of processing time, and the advantages and disadvantages of different methodologies explored. The objective of this research is to enhance the modelling process for building description by incorporating the representation of decay verified within the 3D model. The workflow proposed starts from a digital survey of a cultural heritage architecture and subsequent BIM modelling that generates significant interest within the scientific community not only from the advantages offered by the BIM process but also from the challenges encountered. One challenge relates to the complexity of modelling and unresolved interoperability issues between different NURBS and BIM modelers. Another challenge involves the time wasted in striving for a high degree of accuracy in existing models. Additionally, difficulties arise in uploading data encompassing historical information about the monument, previous renovations, material conditions, and overall state of the structure. Among these challenges, representing the decay state of an artifact within a model remains largely experimental and the paper will demonstrate the efficacy of its representation into a BIM model.
iBLUECULTURE: A NOVEL SYSTEM OF REAL-TIME UNDERWATER IMAGE TRANSMISSION IN A VIRTUAL REALITY ENVIRONMENT, AS A NEW MANAGERIAL APPROACH FOR UNDERWATER CULTURAL HERITAGE
Authors: Vlachos A. , Krinidis S. , Papadimitriou K. , Manglis A. , Fourkiotou A. , Tzovaras D.
Published: December 2023

Abstract. The Mediterranean is rich in ancient and modern shipwrecks and submerged sites of great archaeological, historical, and cultural value. Most of those sites tend to be relatively unknown, even to people living in the area, mostly due to the inherent limitation in physical approach. As a result, these sites are left unknown and unprotected. The aim of the iblueCulture project was to create a system that can make Underwater Cultural Heritage sites broadly accessible and raise public awareness on their location, content, and value. This approach is also meant to provide an effective management strategy for the constant, real-time monitoring and, therefore, protection of such sites, while in accordance with the sustainable tourism development goals for islands and coastal areas. This project, as implemented, can offer an immersive dry dive experience to the public, while providing management bodies and stakeholders with the capability of remotely monitoring the UCH sites in real-time, through live-streaming video. This ability can be vital in some cases, especially when involving sites in greater depths or in remote areas with little maritime traffic. The system is also expected to assist in underwater research, especially in deep water sites, and other educational activities or possible scientific research.
EVALUATING ERA5 WEATHER PARAMETERS DATA USING REMOTE SENSING AND IN SITU DATA OVER NORTH RED SEA
Authors: Ayman M. , Salah Z. , Tonbol K. , Shaltout M.
Published: December 2023

Abstract. High demand is placed on atmospheric studies specially for climatic characteristics, in order to cooperate with the government vision for exploitation of marine resources and a great potential for renewable energy, including solar, wind, hydro and geothermal energy as well as the huge expansion in coastal construction projects planned in the Egyptian Red Sea coasts for establish and growth of industry, tourism and urbanization.This study analyse the recent trends of Surface Wind (W10), surface air temperature (T2m), relative humidity (RH2m) and surface pressure (MSLP) using the European Centre for Medium-Range Weather Forecasts (ECMWF) latest fifth-generation reanalysis weather elements product global Reanalysis dataset (ERA5) Compared to Satellite Earth Observation (EO) altimetry remote sensing data (MERRA-2) and local observed data from chosen WMO automatic weather stations (AWS) over North Red Sea coasts in Egypt, Hourly data records were acquired from four WMO weather stations, deployed in different locations: Suez, Sharm Elshaikh, Safaga, Marsa Alam to study regional Climatic Characteristics, test and validate ERA5 data and evaluates the ability of ERA5 reanalysis to reproduce hourly and monthly averages for weather characteristics over North Red Sea, with hourly time series for data spans approximately 11 years, period from January 2012 to December 2022. Results of the analysis expected to reveal the agreement between remote sensing data, observations and ERA5 estimates, determine correlation values and Root Mean Square Error (RMSE).Based on certain considerations outlined in this paper, it is appropriate to use MERRA-2 and ERA5 to characterize T2m, RH, W10 and MSLP over North Red Sea.
Long-term eddy modulation affects the meridional asymmetry of the halocline in the Beaufort Gyre
Authors: Lu Jinling , Du Ling , Tao Shuhao
Published: December 2023

Abstract. Against the background of wind-forcing change along with Arctic sea ice retreat, the mesoscale processes undergoing distinct variation in the Beaufort Gyre (BG) region are increasingly important to oceanic transport and energy cascades, and these changes subsequently put oceanic stratification into a new state. Here, the varying number and strength of eddies in the central Canada Basin (CB) and Chukchi–Beaufort continental slope are obtained based on mooring observations (2003–2018), altimetry measurements (1993–2019), and reanalysis data (1980–2020). In this paper, the variability in the BG halocline, representing the adjustment of stratification in the upper layer, is shown in order to analyse how variability occurs under changing mesoscale processes. We find that over almost the last 2 decades the halocline depth has deepened by ∼ 40 m in the south of the central gyre, while that in the north has deepened by ∼ 70 m according to multiple datasets. Surrounding the central gyre, the asymmetry of the halocline, with much steeper and deeper isopycnals over the southern continental slope, reduced after 2014. In the meantime, eddy activities in the upper layer from the southern margin of the BG to the abyssal plain have been enhanced. Moreover, the convergence of the eddy lateral flux has increased as the halocline structures on either side, which is at least 120 km from the central gyre, have reached a nearly identical and stable regime. It has been clarified that long-term dynamic eddy modulation through eddy fluxes, facilitating the freshwater redistribution, affects the meridional asymmetry of the BG halocline. Our results provide a better understanding of the eddy modulation processes and their influence on the halocline structure.
KI-basierte Bildgeneratoren in der Sprachlehrer*innenbildung. Eine unterrichtsentwicklerische Kurzbetrachtung mit Praxisbezug
Authors: Strasser Thomas
Published: December 2023

This paper examines the role of Artificial Intelligence (AI), particularly weak AIs and AIbased image generators, in language teacher education. The focus is on the practical application of AI-supported image generators, such as Midjourney and DALL-E, in an English didactics seminar in the joint study program “Verbund Nord-Ost‘’. The paper emphasizes the importance of integrating technology into teacher education, not only from a technical but also from a didactic and pedagogical perspective. It is argued that the subject-specific and less technology-determined use of AI tools helps teachers improve their teaching practice and prepare their students for language learning performances, especially in the area of vocabulary work. The paper recommends a differentiated approach to digital-supported language teaching, which considers both technical and societal aspects, and can thus be of significance for sustainable teacher education.
Una cuestión no resuelta: la alternancia libre entre la presencia y la ausencia del sujeto en estructuras oracionales del español
Authors: Martínez Orozco Javier
Published: December 2023

La cuestión relativa a la presencia/ausencia del sujeto en distintas construcciones del español ha atraído la atención de los especialistas desde hace décadas y sigue vigente en las investigaciones actuales. Sin embargo, son pocos los trabajos que han examinado de manera minuciosa y sistemática las causas que intervienen en este fenómeno. El objetivo de este artículo es doble. Por un lado, ofrecer un análisis crítico y riguroso de las estructuras en las que la expresión del sujeto alterna libremente con la omisión. Por otro, proporcionar una hipótesis que justifique esta posibilidad.
ESTUDO DA GESTÃO DOS RESÍDUOS TEXTEIS EM UMA INDÚSTRIA NA CIDADE DE TAQUARITINGA-SP E PROPOSTA PARA O REAPROVEITAMENTO SUSTENTÁVEL
Authors: Cunha Gislaine Aparecida , De Souza Maria A. E. da Silva , Da Silva Wellington Rodrigo Nunes , Da Silva Renata Dantas , De Souza Leonardo dos Santos
Published: December 2023

A indústria têxtil tem um grande potencial poluidor, pois em todo o processo produtivo, desde a fabricação dos insumos ao produto, há algum impacto ambiental associado, como poluição de corpos hídricos, solo e ar. Portanto, trata-se de um assunto que envolve a participação de entidades governamentais, para a regulamentação das atividades do setor de acordo com as normas e leis ambientais vigentes; da área acadêmica, a qual se interessa por avaliar esses impactos e desenvolver métodos e técnicas para mitigá-los; e dos cidadãos em geral, considerando a responsabilidade compartilhada entre fabricantes e os envolvidos na cadeia produtiva, de forma integral. Isto ainda é uma meta a ser alcançada quando se busca melhorias ambientais. A reciclagem e incineração são algumas das opções empregadas pela indústria têxtil no gerenciamento dos seus resíduos. Desta forma, o objetivo deste trabalho consiste em analisar o gerenciamento dos resíduos sólidos de uma indústria têxtil situada na cidade de Taquaritinga, interior de São Paulo, comparando os resultados com os da literatura, a fim de propor soluções ambientais mais sustentáveis. E, sugerindo soluções socioeconômicas, tal como a reutilização desses materiais a fim de beneficiar a população local em situação de vulnerabilidade, fomentando a inclusão no mundo do trabalho, emprego e geração de renda.
Biblioteka księży misjonarzy u św. Krzyża w Warszawie. Zarys problematyki
Authors: Gonet Krzysztof
Published: December 2023

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Biskupa Adama P. Burzyńskiego działalność duszpasterska i stosunek do innowierców
Authors: Włoczyk Piotr
Published: December 2023

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Sectoral Comparison of Herding During Global Financial Crisis and Covid-19: Comparative Analysis of Shariah Compliant and Conventional Stocks
Authors: Bukhari Syed Faisal Hasssan , Yasir Waqar , Méndez Christian Espinosa , Mustafa Zia
Published: December 2023

The worldwide financial environment has experienced substantial upheavals amid both the Global Financial Crisis (GFC) and the COVID-19 pandemic. Gaining insight into investor behavior, with a specific focus on herd behavior, during these periods is essential for a comprehensive understanding of market dynamics. The authors intend to compare and analyze investor herding behavior in the Pakistani Stock market, specifically focusing on shariah-compliant and conventional stocks during both the Global Financial Crisis (GFC) and the COVID-19 pandemic. The study explores how stock return dispersions behave in response to significant upward and downward movements in the market index. Additionally, the research distinguishes between the overall and sector-specific performance of Shariah-compliant and conventional stocks. To examine participant herding behavior, the authors applied the cross-sectional absolute deviation model (CSAD) to the daily data of the Karachi stock market. The results indicate that both Shariah-compliant and conventional stocks exhibited a weak form of herding during the GFC. Furthermore, different sectors displayed varying degrees of herding intensity during this crisis. Notably, a substantial increase in herding behavior was observed during the COVID-19 pandemic. These findings have crucial implications for portfolio diversification strategies during financial crises, emphasizing the identification of safe havens by constructing portfolios across diverse segments and sectors. This research contributes to the existing knowledge on herding behavior by examining two distinct hypotheses related to conventional and shariah-compliant stocks, and the empirical evidence supports these hypotheses.
Prehrambene navike adolescenata
Authors: Redžepagić Admira
Published: December 2023

Cilj ovoga istraživačkog rad je ispitati razlike u prehrambenim navikama adolescenata mlađe i adolescenata starije dobi, ispitati kakva je konzumacija voća i povrća u adolescenata mlađe i starije dobi te utječe li spol na prehrambene navike adolescenata. U radu je korišteno presječno istraživanje u kojem su sudjelovali učenici prvih i petih razreda Škole za medicinske sestre Vinogradska u Zagrebu. Za potrebe istraživanja kreiran je upitnik o prehrambenim navikama, nastao prema originalu NHANES Food Questionnaire dostupnom za slobodnu uporabu. Upitnik se sastojao od 22 pitanja s mogućnošću odabira samo jednog odgovora. Upitnik je distribuiran putem platforme Google forms. Mann-Whitney U testom potvrđena je statistički značajna razlika u učestalosti konzumacije između ispitanika prvog i petog razreda za samo dvije od ukupno 22 testirane varijable, i to za krumpir i kruh. S obzirom na navedeno, a ne uzimajući u obzir spol ispitanika, odbacuje se hipoteza da se učenici s više godina medicinskog obrazovanja zdravije hrane. Međutim, kada se testirala razlika po spolu kod ispitanika petog razreda, za većinu varijabli utvrđena je statistički značajna razlika u učestalosti konzumacije između muškaraca i žena. U slučaju učenika prvog razreda, statistički značajna razlika u prehrambenim navikama između muškaraca i žena pokazala se kod svega 4 varijable. Promatrajući razliku po spolu za ukupnu testiranu populaciju, potvrđeno je da muškarci u odnosu na žene statistički značajno češće konzumiraju voće i povrće, ali i složene ugljikohidrate, npr. krumpir. Isto tako, muškarci češće konzumiraju i proizvode bogate šećerima i mastima u odnosu na žene. Istraživanje je pokazalo da su prehrambene navike ispitanika značajno više uvjetovane spolom u odnosu na godinu školovanja te u sličnim istraživanjima svakako treba uzeti u obzir utjecaj spola.
Onset of convection in rotating spherical shells : Variations with radius ratio
Authors: Barik Ankit
Published: December 2023

Convection in rotating spherical layers of fluid is ubiquitous in spherical astrophysical objects like planets and stars. A complete understanding of the magnetohydrodynamics requires understanding of the linear problem—when convection onsets in these systems. This is a fluid dynamics problem that has been studied since the early 1900s. Theoretical scaling laws exist for the variation of critical quantities—the Rayleigh number Rac, the azimuthal wavenumber mc, and the angular drift frequency ωc—with respect to the Ekman number E. However, their variation with the radius ratio χ of the spherical shell is still poorly studied. To address this, we use an open source eigenvalue code Kore to compute these critical quantities over an extensive range of parameters spanning four decades in Ekman number and a dense grid of radius ratio from very thick to very thin shells, focusing on no-slip and fixed temperature boundary conditions. We find that these variations are explained well by the theoretical scaling laws, especially at low E, but variations in radius ratio also exist. We obtain scaling laws of boundary layer thicknesses and spatial extent of onset modes with respect to the Ekman number which differ only slightly from theoretical scalings. We show that our data set can be used to obtain good estimates of critical quantities in the moderate E range, where the vast majority of current geophysical and astrophysical fluid dynamics simulations are performed, yet where asymptotic theory is only moderately accurate. We further verify asymptotic predictions and determine best-fit asymptotic model coefficients.
Double-diffusive magnetic layering
Authors: Hughes David
Published: December 2023

Double-diffusive systems, such as thermosolutal convection, in which the density depends on two components that diffuse at different rates, are prone to both steady and oscillatory instabilities. Such systems can evolve into layered states, in which both components, and also the density, adopt a staircase profile. Turbulent transport is enhanced significantly in the layered state. Here we exploit an analogy between magnetic buoyancy and thermosolutal convection in order to demonstrate the phenomenon of magnetic layering. We examine the long-term nonlinear evolution of a vertically stratified horizontal magnetic field in the so-called diffusive regime, where an oscillatory linear instability operates. Motivated astrophysically, we consider the case where the viscous and magnetic diffusivities are much smaller than the thermal diffusivity. We demonstrate that diffusive layering can occur even for subadiabatic temperature gradients. Magnetic layering may be relevant for stellar radiative zones, with implications for the turbulent transport of heat, magnetic field, and chemical elements.
Optimize the Performance of the Neural Network by using a Mini Dataset Processing Method
Authors: Jingliang Chen Jingliang Chen , Jingliang Chen Chenchen Wu , Chenchen Wu Shuisheng Chen , Shuisheng Chen Yi Zhu , Yi Zhu Bin Li
Published: December 2023

In the case of traditional methods such as network models and algorithms are highly open source and highly bound to hardware, data processing has become an important method to optimize the performance of neural networks. In this paper, we combine traditional data processing methods and propose a method based on the mini dataset which is strictly randomly divided within the training process; and takes the calculation results of the cross-entropy loss function as the measurement standard, by comparing the mini dataset, screening, and processing to optimize the deep neural network. Using this method, each iteration training can obtain a relatively optimal result, and the optimization effects of each time are integrated to optimize the results of each epoch. Finally, in order to verify the effectiveness and applicability of this data processing method, experiments are carried out on MNIST, HAGRID, and CIFAR-10 datasets to compare the effects of using this method and not using this method under different hyper-parameters, and finally, the effectiveness of this data processing method is verified. Finally, we summarize the advantages and limitations of this method and look forward to the future improvement direction of this method.

 
Face Image Recognition Algorithm Based on Label Complementation
Authors: Jiakang Tang Jiakang Tang , Jiakang Tang Lin Cui , Lin Cui Zhiwei Zhang
Published: December 2023

In face image recognition, labels play a fairly important role in recognition and classification, and rich and perfect labels can greatly improve the accuracy rate. However, it is almost impossible for the labels in the image to be recognized to describe the image completely and accurately. At the same time, the data obtained when feature extraction is performed on an image inevitably extracts a large amount of redundant and useless information at the same time, which affects the generalization performance of the model. Accordingly, we propose a face image recognition algorithm based on label completion in multi label learning. First, the SVD algorithm is used to remove redundant and useless information from the features of the original data by dimensionality reduction operation to obtain simplified sample attribute information, and the label completion algorithm is used to supplement the labels of the images using the extracted feature information. Finally the obtained label data as complete as possible is put into the extreme learning machine to construct the face recognition model and give the prediction results of the images. Experiments on the ORL dataset demonstrate that the algorithm can achieve good recognition results.

 
Improved Bat Algorithm Based on Fast Diving Strategy
Authors: Yanxiang Geng Yanxiang Geng , Yanxiang Geng Liyi Zhang , Liyi Zhang Yong Zhang , Yong Zhang Zhixing Li , Zhixing Li Jiahui Li
Published: December 2023

Bat algorithm has good global search ability, but it has some problems, such as slow convergence speed in local search stage, low convergence accuracy, easy to fall into local optimization and can not escape. In view of the above defects, inspired by Harris Hawks’s strategy of catching rabbits, this paper introduces the surrounding mechanism of prey, which can quickly approach the food and judge its quality, so as to achieve the purpose of rapid convergence and improve the convergence accuracy. The experiment shows that the improved algorithm of the fast diving strategy is tested by using the test function, and compared with the basic bat algorithm, backtracking bat algorithm and HABC. The improved bat algorithm of the fast diving strategy has better optimization accuracy, faster convergence speed, simple algorithm and higher success rate.

 
Public Integrity Verification for Cloud Storage with Efficient Key-update
Authors: Hao Yan Hao Yan , Hao Yan Yanan Liu , Yanan Liu Dandan Huang , Dandan Huang Shuo Qiu , Shuo Qiu Zheng Zhang
Published: December 2023

To improve the security of the data on cloud storage, numbers of data integrity auditing schemes have been proposed in the past several years. However, there only a few schemes considered the security challenge that the user’s key is exposed unknowingly which is very likely to happen in real-life. To cope with the problem, we propose a public data integrity auditing scheme for cloud storage with efficient key updating. In our scheme, the user’s key is updated periodically to resist the risk of key exposure. Meanwhile, the authentication tags of blocks are updated simultaneously with the key updating so as to guarantee the data integrity can be verified normally. The algorithm of key updating in our scheme is very efficient which only needs a hash operation while previous schemes need two or three exponentiation operations. Moreover, the workload of tag updating is undertaken by cloud servers with a re-tag-key which reduces the burden of users and improves the efficiency of the scheme. The communication cost of the scheme is also reduced greatly, for instance, the information size in ‘re-key’ step is decreased from two group members to one. Furthermore, we give the formal security model of our scheme and prove the security under the CDH assumption. The experimental results show that our proposal is efficient and feasible.

 
Consumers' Motivations for Reading Electronic Word of Mouth (eWOM): A 4-IS Typology
Authors: Cheng-Wen Yao Cheng-Wen Yao , Cheng-Wen Yao Dah-Kwei Liou
Published: December 2023

EWOM initiates more consumers’ empathy and is also reliable information for a consumer. Consumers are increasingly relying on finding and reading eWOM to make purchasing decisions. Knowing why the consumers read these eWOM helps marketers provide proper information and marketing contents. This study uses the phenomenographic approach to explore consumers’ motivations for reading eWOM. After interviews with thirty participants, this study constructed a 4-IS typology of eWOM motivation based on two dimensions: consumer’s product familiarity and purchase intention. The study also adopts the concept of MOAB model to illustrate four categories. This study provides some useful insights for marketers to systematically analyze why consumers read eWOM. It not only helps us understand why a consumer reads eWOM also helps us figure out how the eWOM affects a consumer.

 
Fast and On-demand Network-wide Telemetry via Cluster Based Path Planning
Authors: Du Chen Du Chen , Du Chen Deyun Gao , Deyun Gao Wei Quan , Wei Quan Chuan Heng Foh , Chuan Heng Foh Hongke Zhang
Published: December 2023

In-band Network Telemetry (INT) has profoundly promoted the network visibility. However, the existing solutions either face Maximum Transmission Unit (MTU) limitation or latency issue due to continuous insertion of INT metadata along long forwarding paths. In addition, conducting telemetry using user packets is prone to result in duplicate telemetry and fall short to achieve network-wide telemetry. In this work, we propose NetworkSight to comprehensively resolve these problems through cluster based path planning and source routing based on-demand forwarding. Specifically, a cluster based path planning algorithm is designed to generate several balanced short forwarding paths that cover the entire network. As a consequence, the MTU limitation is overcome and the telemetry latency can be reduced. Instead of operating on user packets, NetworkSight sends crafted probes built on source routing to travel synchronously over the generated forwarding paths. With these improvements, network-wide telemetry is achieved. Besides, we define a suite of telemetry primitives and develop corresponding APIs for users to flexibly express their telemetry requirements. Extensive experimental results show that NetworkSight can generate more balanced forwarding paths. The results show that it outperforms state-of-the-art mechanisms, where it reduces the telemetry latency by tens of milliseconds.

 
Analyzing the Influence of Internet Usage Behavior on Spectator Sports Consumption Among College Students: An Empirical SEM Study Based on the SOR Model
Authors: Yujie Zhang Yujie Zhang , Yujie Zhang Yuyang Hou , Yuyang Hou Luning Cao , Luning Cao You Xiong , You Xiong Qian Huang
Published: December 2023

In light of China’s burgeoning sports competition and performance sector, the evident shift towards diverse sports consumption preferences underscores an urgent need to refine the current consumption structure. Notably, the underdeveloped ornamental sports consumption sphere impedes the evolution of this structure. This study, focusing on the pivotal demographic in the sports event consumption market—college students, deploys a questionnaire-based approach to explore patterns in ornamental sports consumption, internet usage behavior, perceived value associated with ornamental sports, and trust towards this mode of consumption. Leveraging the Stimulus-Organism-Response (SOR) model and integrating various theories, we constructed hypothetical models. Utilizing structural equation modeling, we probed the intricate relationships among these variables through path analysis. This empirical investigation specifically scrutinized the impact of college students’ internet behavior on their spectator sports consumption, extending to the intermediary roles played by the perceived value and trust related to ornamental sports. Key findings indicate: (1) A direct positive correlation exists between college students’ internet behaviors and their affinity for spectator sports. (2) The perceived value of ornamental sports acts as a mediator between students’ internet activities and their consumption behaviors. (3) Trust in ornamental sports consumption mediates the relationship between internet usage and consumption patterns.

 
Barriers and Facilitators to Risk Reduction of Cardiovascular Disease in Hypertensive Patients in Nigeria
Authors: Adeola Janet , Odukoya Oluwakemi , Igwilo Ugonnaya , Usinoma Adewunmi , Bahiru Ehete , May Folasade P. , Obiezu Fiona
Published: December 2023

Background: In Sub-Saharan Africa (SSA), the prevalence of hypertension is increasing due to many factors like rapid population growth, globalization, stress, and urbanization. We aimed to characterize the perceptions of cardiovascular disease (CVD) risk among individuals with hypertension living in Nigeria and identify barriers and facilitators to optimal hypertension management.
Methods: This cross-sectional survey study was conducted at a large teaching hospital in Lagos, Nigeria. We used a convenient sample of males and females, aged 18 or older, with a diagnosis of hypertension who presented for outpatient visits in the cardiology, nephrology, or family medicine clinics between November 1 and 30, 2020. A semiquantitative approach was utilized with a survey consisting of closed and open-ended questionnaires focused on patient knowledge, perceptions of CVD risk, and barriers and facilitators of behavioral modifications to reduce CVD risk.
Results: There were 256 subjects, and 62% were female. The mean age was 58.3 years (standard deviation (SD) = 12.6). The mean duration of the hypertension diagnosis was 10.1 years. Most participants were quite knowledgeable about hypertension; however, we observed some knowledge gaps, including a belief that too much “worrying or overthinking” was a major cause of hypertension and that an absence of symptoms indicated that hypertension was under control. Barriers to hypertension management include age, discomfort or pain, and lack of time as barriers to exercise. Tasteless meals and having to cook for multiple household members were barriers to decreasing salt intake. Cost and difficulty obtaining medications were barriers to medication adherence. Primary facilitators were family support or encouragement and incorporating lifestyle modifications into daily routines.
Conclusion: We identified knowledge gaps about hypertension and CVD among our study population. These gaps enable opportunities to develop targeted interventions by healthcare providers, healthcare systems, and local governments. Our findings also help in the promotion of community-based interventions that address barriers to hypertension control and promote community and family involvement in hypertension management in these settings.
Factores de virulencia de Porphyromonas gingivalis en la evolución de enfermedades cardiovasculares
Authors: Ponce María , Rodríguez-Hernández Adriana , González Blanca , Robles-Bermeo Norma , Medina-Solís Carlo , Sámano Carolina , Márquez-Corona María
Published: December 2023

Las enfermedades cardiovasculares (ECV), así como las enfermedades periodontales son consideradas enfermedades crónicas inflamatorias no-transmisibles, cuya asociación ha sido controversial. Según el estudio de la carga mundial de morbilidad (The Global Burden of Disease) de 2015 se estima que hubo 422.7 millones de casos de ECV y 17.92 millones de muertes por ECV en México, las ECV se encuentran dentro de las 3 principales causas de muerte a nivel nacional según las estadísticas del INEGI en 2020, representan el 77% del total de muertes en adultos. Se considera a la periodontitis la sexta enfermedad que más prevalece en la población adulta, afecta al 11.2% de la población mundial. Tanto las ECV como la periodontitis, son patologías con mecanismos inflamatorios similares, las cuales han demostrado tener una relación bidireccional, de igual manera, se involucran similares factores de riesgo en ambas patologías, los cuales pueden ser ambientales, endógenos y exógenos entre los que se encuentra el tabaquismo, estrés, alcoholismo, factores hereditarios, hiperglucemia, factores nutricionales, hormonales, agentes farmacológicos, entre otros. Por otro lado, la etiología de la periodontitis deriva de la disbiosis de la biopelícula dental, en dónde el predominio de especies patógenas reconocidas como es Porphyromonas gingivalis, se ha asociado a ECV como es la aterosclerosis. P. gingivalis perteneciente al complejo rojo de la placa subgingival descrita por Socransky y col. desde 1998. Especie que se ha implicado en la relación entre ECV como es la ateroesclerosis. Se ha demostrado que P. gingivalis presenta varios factores de virulencia los cuales pueden influir en el desarrollo y la evolución no solo de periodontitis sino también de las ECV, incluida la ateroesclerosis.
Análisis de datos aplicados a la evolución de la dependencia de las transferencias intergubernamentales: Un estudio de caso en Colombia
Authors: Sánchez Becerra Carlos Andrés , Quintero Quintero Wilder , Rodríguez Castilla Magda Mildreth
Published: December 2023

La mayoría de las democracias modernas han descentralizado administrativamente gran parte de sus funciones, otorgando autonomía a los territorios municipales para gestionar la recaudación y el gasto de los ingresos tributarios. Sin embargo, otro tipo de ingresos a nivel local son transferidos desde el gobierno central con una asignación específica, frente a la cual los municipios no tienen autonomía en el gasto. Estas transferencias condicionadas o específicas de cada país representan en muchos casos la parte más importante del ingreso. Por lo tanto, se quiere determinar si los niveles de dependencia de las transferencias se deben a decisiones de administración o, por el contrario, responden a características regionales comunes, implementando un índice para medir la dependencia de las transferencias condicionadas de la nación a los municipios, tomando como Estudio de caso de estas entidades territoriales en un departamento de Colombia. Se recopilaron datos sobre el ingreso total y las transferencias nacionales de los municipios para los períodos fiscales entre 2008 y 2020. Para analizar mejor la dependencia de dichas transferencias en los municipios durante este período, se aplicó el algoritmo de clasificación k-medias, el cual encontró que los municipios se pueden agrupar en tres conglomerados. En primer lugar, se encontró que la mayoría de los municipios tienen una alta dependencia de las transferencias del país. Asimismo, se identificaron clusters regionales, en los que las zonas históricamente afectadas por el conflicto armado y la siembra de cultivos ilícitos presentaron mayor dependencia.
Aporte de la UNAH para el estudio de condiciones urbano-arquitectónicas del municipio de Marcala en el diseño de una terminal central de buses interurbanos
Authors: Vásquez Nitzia , Hernández Flores Cindy , Martínez Martínez Darlyn
Published: December 2023

La presente investigación consiste en un estudio previo para el diseño de una estación central de transporte urbano e interurbano en el Municipio de Marcala, en el departamento de La Paz; Honduras. El objetivo principal es conocer la demanda del transporte público, zonas de cobertura y radios de acción para examinar la dimensión urbana en la que los usuarios y las unidades de transporte se encuentran. La aplicación de una metodología basada en investigación de campo, la observación simple y participante; con una muestra de 28 personas; compuesta por regidores, dirigentes, usuarios y conductores de transporte ha permitido la recolección de información de datos cualitativos, cuantitativos e inferenciales mediante la aplicación de encuestas y entrevistas. Se ha demostrado a través del análisis e interpretación de datos, que el crecimiento demográfi co y habitacional del Municipio de Marcala, se ha proyectado hacia la zona norte de la ciudad. Por lo tanto, existen aproximadamente 300 unidades de transporte público, en donde más del 53% son autobuses de 32 rutas directas e indirectas que convergen en el tejido urbano del municipio y sus alrededores en el departamento de La Paz. Debido a la existencia de 3 terminales de transporte informales, se concluye con la recomendación de reordenar y estructurar una estación de buses, que brinde una solución vial para el manejo efectivo de todas las rutas interurbanas del Municipio de Marcala. De esta manera se podrá mejorar las condiciones de desarrollo y movilidad urbana sostenible, fomentando el turismo local y extranjero.