bluuebunny/crossref_metadata_2025 huggingface dataset:
The Effect of Management Consultant's Self-Leadership on Innovative Behavior : Mediating effect of self-efficacy and job satisfaction
Authors:   The Korean Data Analysis Society, Kim Dongwon , Hong Jaebum
Published: April 2023

This study analyzes the mediating effect of self-efficacy and job satisfaction in the relationship between consultant self-leadership and innovative behavior. In order to analyze the mediating effect of self-efficacy and job satisfaction, the Model 6 series multi-media model of SPSS PROCESS macro was applied. A survey was conducted on 240 consultants, and a study was conducted with 172 cases. Behavior focused strategies, natural reward strategies, and constructive thought pattern strategies all had a positive effect on self-efficacy, job satisfaction, and innovative behavior. Self-efficacy has a positive effect on job satisfaction and innovative behavior, and job satisfaction has a mediating effect in the relationship between self-leadership and innovative behavior. The mediating effect considering the causal relationship between self-efficacy and job satisfaction is only effective in constructive thinking strategies. Self-leadership is very useful for consultants to create new ideas to improve the performance of their work and organization. This fact suggests that improving self-leadership in practice is of paramount importance to consultants due to the nature of consultants' work to solve problems of undergoing examination companies and present alternatives.
Analysis of Determinants of Use and Intention to Use In-Kind Benefits of Private Dementia Insurance: Focus on Speech Therapy, Brain Stimulation Therapy, and Emergency Monitoring
Authors:   The Korean Data Analysis Society, Lee Chan Hee
Published: April 2023

This study empirically analyzed the influencing factors on the use and intention to use dementia treatment for dementia patients. Research data were collected through an online survey, and the study subjects were 300 dementia patients (N=300). As the result of logistic regression analysis, as the treatment place was a medical institution, the more types of long-term care services currently in use, the longer the elapsed time since the first diagnosis of dementia, the higher the use and intention to use speech therapy services. As the dementia patient was male, the more types of long-term care services currently in use, and the higher the elderly long-term care level, the higher the use and intention to use brain stimulation therapy services. As the guardian of the dementia patient was male, the use and intention to use the emergency monitoring service were higher. The results of this study can be usefully used for developing in-kind benefits for private dementia insurance and for marketing activities. It is expected to contribute to the strengthening of the social safety net of private insurance , the development of the healthcare industry, and diminishing social costs through the vitalization of dementia-related in-kind benefits.
Factors Influencing Burnout among Intensive Care Unit Nurses Caring for COVID-19 Patients
Authors:   The Korean Data Analysis Society, Park Jiwon , Cha Chiyoung
Published: April 2023

The purpose of this study was to investigate the factors that influence burnout among intensive care unit nurses caring for Coronavirus Disease-19 (COVID-19) patients. For this cross-sectional study, a convenience sampling strategy was used to recruit 121 intensive care unit nurses with experience of taking care for confirmed or suspected COVID-19 patients. Data were collected from June 6 to June 25, 2022. Descriptive statistics, factor analysis, t-test, ANOVA, Scheffe test, Pearson’s correlation, and hierarchical multiple regression analysis were employed for data analysis. The final regression model had an explanatory power of 40.4% (F=12.63, p<.001): COVID-19 infection stress (β=.34, p<.001), depression symptom cluster (β=.29, p=.005), and social support (β=-.17, p=.036) affected burnout. The findings of this study suggest that health professionals should be equipped with procedures for the prevention of emerging infectious diseases, and a psychological support system should be built to promote social support and alleviate depressive symptoms.
CHEMICAL COMPOSITION AND POTENTIAL USES OF LEUCAENA LEUCOCEPHALA STEM BARK
Authors: SALIM RAFIDAH MD , ASIK JAHIMIN , SARJADI MOHD SANI , CHIANG LIEW KANG
Published: April 2023

Leucaena leucocephala stem bark that was eleven years old was studied for its chemical composition and usage. The samples were subjected to chemical analyses based on ASTM standard procedures after being air-dried for several days. The results found that the bark of L. leucocephala has a pH value of 6.04 and that the solubility of the bark in 1% NaOH alkali is the highest compared to the solubility in hot water (14.45%) and cold water (14.36%), while the chemical composition of the bark of L. leucocephala was ash (15.76%); extractives (8.39%); holocellulose (132.85%); hemicellulose (103.66%); cellulose (29.19%) and lignin (38.24%). Based on the findings, L. leucocephala bark was less acidic. When used as a source of carbohydrates, bark has a high solubility, and its chemical composition may have an impact on how quickly it burns when it is pyrolysed.
WATER RETENTION OF BEECH SHAVINGS HEAT-TREATED AT LOWER TEMPERATURES
Authors: IHNÁT VLADIMÍR , LÜBKE HENRICH
Published: April 2023

Water retention after 2 hours and 24 hours of soaking in water was determined for beech shavings subjected to heat treatment at temperatures of 120°C, 140°C and 160°C for 2 hours, 4 hours, 6 hours and 8 hours in order to reduce the equilibrium moisture content (EMC) of the wood shavings for use in wood based composites. EMC was determined after 14 days of air conditioning at 23°C and 55% relative humidity. The measured values were compared with the sample dried at 103°C. Water retention was determined after 15 min of centrifugation at 1400 rev.min-1 for a more objective assessment of the wood's ability to retain water in the cell lumens. The results showed that heat treatment reduces the EMC of beech shavings heat-treated at 160°C for 8 hours in the given conditions from 8.7% to 6.19%. The reduction of EMC at lower temperature was not sufficient enough, especially in the shorter treatment duration of up to 6 hours. In parallel, the reduction of water retention from 65.53% to 47.79% was caused by heat treatment for 8 hours at 160°C.
PREDICTION OF EFFICACY OF DEACIDIFICATION PROCESS
Authors: VIZÁROVA KATARÍNA , MALEČKOVÁ SOŇA , JABLONSKÝ MICHAL , VARGA ŠTEFAN , KAČÍK FRANTIŠEK , KATUŠČÁK SVETOZÁR
Published: April 2023

The aim of this work is to propose the first model hypothesis and function for predicting the efficacy of deacidification. We have used the dDEA as the first basic factor influencing the efficacy. The resulting relationship is based on the best achieved reliable η data and related dDEA data, from mass deacidification technologies used for the lifetime and usability increase of millions of books, historical documents worldwide. The resulting η predicting function is as follows η = 0.732984+0.125612*dDEA^(-0.214237). This first 1D function can serve as an impulse for continuing improvement of the prediction, and 2D, 3D and multidimensional models. It can be used for comparisons and connecting η with η-characteristic mechanical, physical, cellulose solution properties; the prediction can serve for continuing improvement of efficacy of the conservation technology in increasing the paper carriers of information, documents longevity and usability.
EFFECTS OF PYROLYSIS PROCESS ON PRODUCTS YIELD OF PLYWOOD FROM ABANDONED FURNITURE
Authors: LIU XINYOU , ZHANG CHANGJUN , YANG SHUFAN , VARODI ANCA MARIA
Published: April 2023

In this paper, the plywood obtained from dismantling discarded furniture was selected as pyrolysis experimental materials. Pyrolysis was performed at a heating rate of 100°C/h, 150°C/h and 200°C/h and pyrolysis temperatures of 400°C, 500°C, and 600°C to evaluate the effects of pyrolysis process on products yield and the products features. The results show that the yield of solid products gradually decreases with the increase of pyrolysis temperature and heating rate while liquid products and non-condensing gases' yield gradually increases. The carbon content in solid products reached 80.76 - 94.35%. Carbon content gradually decreases with pyrolysis temperature, but the proportion of C/H and C/N gradually increases. The pyrolysis solution is weakly acidic due to the adhesives in pyrolysis material.
MODEL CONSTRUCTION AND MICROWAVE PREHEATING EXPERIMENTS USING FIBERBOARD
Authors: YANG CHUNMEI , ZHU ZANBIN , LIU JIUQING , XUE BO , LI YUCHENG
Published: April 2023

Microwave heating is a new type of pre-heating for fiberboard mats. Compared to conventional heating, microwave heating is faster and the surface and interior are evenly heated, thus avoiding the phenomenon of premature hardening of the surface layer of the fibreboard mats. In this paper, the heat transfer law of microwave preheated fiberboard mats was analyzed, and a thermodynamic model of fiberboard microwave heating was established. Furthermore, a microwave preheating simulation was established through COMSOL software; the temperature distribution of the fiberboard after microwave heating was analyzed and the reliability of the simulation model was verified through experiments. The temperature changes of fibers in the two preheating methods were compared by direct contact preheating experiment and microwave preheating experiment. Microwave preheating is more efficient than direct contact preheating, and more uniform temperature distribution in fiberboard mats. The core layer temperature is higher than the surface layer temperature, which can shorten the preheating time. By comparing the COMSOL model with the test, the model can basically reflect the temperature change law of microwave preheating, and the temperature of each layer of the slab is more uniform in the model simulation process. The heating law of the fiberboard was obtained, which provided a theoretical reference for the industrialized microwave preheating of fiberboard.
WOMEN’S NEEDS VS. ECONOMIC SURVIVAL DURING THE COVID-19 PANDEMIC: NAVIGATING THIS TENSION USING CARE AND JUSTICE
Authors: Puen S.A. , Sanchez R.J.M.
Published: April 2023

Women are among the many vulnerable groups that are severely affected by the pandemic: All over the world, women have been hit harder by the pandemic, leading some to call the global recession a “shecession”. “Shecession” refers to “the disproportionate impact of a pandemic recession on working women”, which leads to greater gender inequality. Working women have been gravely affected by the pandemic, but their situation is often justified as “necessary” in helping businesses survive. We argue for a caring justice framework, using Fratelli Tutti and care ethics in navigating the tensions between the individual and the community, analysing and transforming the way in which work is structured in the Philippines at present.
CARING FOR WOMEN ON THE FRONTLINES: ENHANCING WOMEN WORKERS’ CAPABILITIES AND BUILDING SOCIAL FRIENDSHIP
Authors: Yuen M.M.-Y.
Published: April 2023

This article examines the vulnerability of frontline cleaning workers and domestic helpers during the COVID-19pandemic and how they empower themselves by joining a community in which they can support each other. Employing surveys by non-governmental organisations, particularly those in Hong Kong, as well as my own interviews and observations, I examine the situation of the frontline workers and discuss the moral principles and conditions for upholding women’s dignity and well-being, based on the capability approach of feminist philosopher Martha Nussbaum. I argue that emphasising women’s moral agency and giving a voice to women themselves through women collectives are important in empowering them and building a life-giving community among women, especially during and after the pandemic. In addition, the notions of political charity and social friendship in Catholic social thought, particularly the social encyclical Fratelli Tutti, and the multi-axial analysis in post-colonial feminist theology are useful in upholding women’s dignity and moral agency in care situations. Examples of social friendship are provided.
#CHOOSETOCHALLENGE: COVID-19, COMMUNITY RESEARCH, AND THE CANAANITE WOMAN
Authors: Ibita M. , Ibita M.S.
Published: April 2023

This study theologises on the Urban Poor Women and children with Academics for Reaching and Delivering on UNSDGs in the Philippines (UPWARD-UP) Project research team’s collaboration with the Alliance of Peoples’ Organisation Along the Manggahan Floodway (Alliance), Philippines. We posit that the theological process of seejudge-act, enhanced with evaluate-celebrate/ritualise, using feminist biblical characterisation in interpreting Matthew 15:21-28, serves as a spiritual resource for Christians working for the urban poor realisation of the United Nations’ Sustainable Development Goals during the COVID-19 pandemic and beyond. The Canaanite woman challenged Jesus’ identity and mission impacting onChristology and ecclesiology. This characterisation makes her a vital example and companion for the Alliance womenleaders in achieving their prioritised SDGs (1 - No Poverty; 3 - Health and Well-being [in relation with the Environment];4 - Quality Education, and 16 - Justice, Peace and Strong Institutions seen from the lens of UNSDG 5 - Gender Equality) during the pandemic and beyond.
A Possible Surviving Companion of the SN Ia in the Galactic SNR G272.2-3.2
Authors: Ruiz-Lapuente P. , González Hernández J. I. , Cartier R. , Boutsia K. , Figueras F. , Canal R. , Galbany L.
Published: April 2023

We use the Gaia EDR3 to explore the Galactic supernova remnant (SNR) G272.2-3.2, produced by the explosion of a Type Ia supernova (SN Ia) about 7500 yr ago, to search for a surviving companion. From the abundances in the SNR ejecta, G272.2-3.2 is a normal SN Ia. The Gaia parallaxes allow us to select the stars located within the estimated distance range of the SNR, and the Gaia proper motions allow us to study their kinematics. From the Gaia EDR3 photometry, we construct the H-R diagram of the selected sample, which we compare with the theoretical predictions for the evolution of possible star companions of SNe Ia. We can discard several proposed types of companions by combining kinematics and photometry. We can also discard hypervelocity stars. We focus our study on the kinematically most peculiar star, Gaia EDR3 5323900215411075328 (hereafter MV-G272), an 8.9σ outlier in proper motion. It is of M1–M2 stellar type. Its trajectory on the sky locates it at the center of the SNR, 6000–8000 yr ago, a unique characteristic among the sample. Spectra allow a stellar parameter determination and a chemical abundance analysis. In conclusion, we have a candidate to be the surviving companion of the SN Ia that resulted in SNR G272.2-3.2. It is supported by its kinematical characteristics and its trajectory within the SNR. This opens the possibility of a single-degenerate scenario for an SN Ia with an M-type dwarf companion.
Hard TeV Gamma-Ray Afterglows of Nearby GRB 190829A as a Tentative Signature of Ultra-high-energy Cosmic Rays Accelerated in Gamma-Ray Burst Jets
Authors: Huang Jian-Kun , Huang Xiao-Li , Cheng Ji-Gui , Ren Jia , Zhang Lu-Lu , Liang En-Wei
Published: April 2023

The observed hard TeV gamma-ray spectrum of the nearby gamma-ray burst (GRB) 190829A may challenge the conventional leptonic GRB afterglow model. It has been proposed that an ultra-high-energy (UHE;

ε

p

′

∼

10

20

eV) proton population can be pre-accelerated by internal shocks in GRB jets. We study the possible signatures of the UHE protons embedded in the TeV afterglows when they escape the afterglow fireball. We show that the leptonic model can represent the observed multiwavelength lightcurves and spectral energy distributions of GRB 190829A by considering the uncertainties of the model parameters. Attributing the TeV gamma-ray afterglows to the emission of both the electron self-Compton scattering process and the UHE proton synchrotron radiations in the afterglow fireball, we obtain tentative upper limits of

log

10

ε

p

′

/

eV
∼
20.46

and

log

10

E

p
,
total

/

erg
≤
50.75

, where E
p,total is the total energy of the proton population. The synchrotron radiations of the UHE protons should dominate the early TeV gamma-ray afterglows, implying that early observations are critical for revealing the UHE proton population.
A Dynamical Survey of the Trans-Neptunian Region. I. Mean-motion Resonances with Neptune
Authors: Forgács-Dajka E. , Kővári E. , Kovács T. , Kiss Cs. , Sándor Zs.
Published: April 2023

In this paper, we present a large-scale dynamical survey of the trans-Neptunian region, with particular attention to mean-motion resonances (MMRs). We study a set of 4121 trans-Neptunian objects (TNOs), a sample far larger than in previous works. We perform direct long-term numerical integrations that enable us to examine the overall dynamics of the individual TNOs as well as to identify all MMRs. For the latter purpose, we apply an own-developed FAIR method that allows the semi-automatic identification of even very high-order MMRs. Apart from searching for the more frequent eccentricity-type resonances that previous studies concentrated on, we set our method to allow the identification of inclination-type MMRs, too. Furthermore, we distinguish between TNOs that are locked in a given MMR throughout the whole integration time span (108 yr) and those that are only temporarily captured in resonances. For a more detailed dynamical analysis of the trans-Neptunian space, we also construct dynamical maps using test particles. Observing the fine structure of the 34–80 au region underlines the stabilizing role of the MMRs, with the regular regions coinciding with the positions of real TNOs.
Simulation of Space Weathering on Asteroid Spectra through Hydrogen Ion Irradiation of Meteorites
Authors: Palamakumbure Lakshika , Mizohata Kenichiro , Flanderová Kateřina , Korda David , Penttilä Antti , Kohout Tomáš
Published: April 2023

Space weathering can be defined as the combination of physical and chemical changes that occur in material exposed to an interplanetary environment on the surface of airless bodies. This process results in alterations in material spectroscopic features. Eventually, it can lead to misinterpretation of remotely sensed data in the visible–near-infrared wavelength range. This study simulates the solar wind effect on asteroid spectra through low-energy 1 keV H+ irradiation of meteorite pressed-powder samples under three fluences, 2 × 1017, 5 × 1017, and 1 × 1018 H+ cm−2, and evaluates changes associated with reflectance spectra. The meteorites subjected to the study are Bjurböle (L/LL4), Avanhandava (H4), and Luotolax (howardite). The most prominent changes in all three meteorites are (1) a decrease of 550 nm reflectance, (2) reddening in the 1 μm region, and (3) a monotonous decrease in absorption band strengths in Bjurböle. No significant changes were observed in the 2 μm region. The results imply that at short timescales (102–103 yr), radiation damage as amorphization and vesicle formation caused by low-energy solar wind is the dominant space weathering factor in all three meteorite compositions, causing spectral changes predominantly in the 1 μm region.
Approaches for Retrieving Sulfur Species Abundances from Dual X–Ka-band Radio Occultations of Venus with EnVision and VERITAS
Authors: Akins Alex B. , Bocanegra-Bahamón Tatiana M. , Wang Kuo-Nung , Vergados Panagiotis , Ao Chi O. , Asmar Sami W. , Preston Robert A.
Published: April 2023

The EnVision and VERITAS missions to Venus will fly with X- and Ka-band telecommunications channels, which can be used to conduct radio occultation studies of Venus’ atmosphere. While link attenuation measurements during prior S- and X-band occultation experiments have been used to determine vertical profiles of H2SO4 vapor abundance, the addition of the Ka-band channel introduces greater sensitivity to the abundances of H2SO4 aerosols and SO2 gas, permitting the retrieval of their vertical profiles from dual-band measurements. Such measurements would be valuable in the assessment of chemical and dynamical processes governing short- and long-term variability in Venus’ atmosphere. This paper considers the sensitivity of the X–Ka-band radio attenuation measurement to these atmospheric constituents, as well as uncertainties and regularization approaches for conducting retrievals of these atmospheric sulfur species from future occultation experiments. We introduce methods for seeding maximum likelihood estimation retrievals using shape models and simple atmospheric transport constraints. From simulated retrievals, we obtain mean errors of the order of 0.5 ppm, 20 ppm, and 10 mg m−3 for H2SO4 vapor, SO2, and H2SO4 aerosol abundances, respectively, for simultaneous retrieval.
Light and temperature records of the seawater associated with southern elephant seal dives during foraging trips in South Atlantic and Pacific Oceans
Authors: Eder Elena , Zárate Marcos , Lewis Mirtha
Published: April 2023

The dataset comprises geolocalised records of dive and surface interval durations, light level and temperature of the seawater during the post-resting and post-moulting tracks of 13 immature southern elephant seals, Mirounga leonina. It describes an unpublished open access version of the original data with records of light level and temperature of the water column using the Darwin Core standard (DwC) through ArOBIS, guaranteeing compliance with the FAIR principles, encompassing a wide time scale (2005, 2006 and 2007) and geographic range in the South Atlantic and Pacific Oceans (South West [-58.75, -81.29], North East [-37.60, -28.65]). Seals were simultaneously equipped with affordable light–temperature loggers (LTLs) and satellite tags. The LTLs recorded light level and temperature of the water column at 30-s intervals during dives and light–time records were applied to estimate dive parameters of diurnal records from 06:00 to 17:00 h, since movements up and down the water column are reflected by changes in light level. For that, the minimum light level reached at the surface of a dive was determined experimentally with diurnal dive simulations at sea using the LTLs devices before deployment. The dataset also includes variation of light and temperature of records between 17:00 to 06:00 h. Data can be used to identify temperature changes associated with seawater masses as drivers of the distribution of other taxa of interest and variation of light level in the seawater (light attenuation) could be linked to concentrations of phytoplankton assemblages as an index of primary productivity.

This dataset provides unpublished data of the duration of dives and surface intervals and associated records of light level and temperature variations along the movements throughout the seawater of 13 immature southern elephant seals in the Southern Hemisphere. The location data were generated by satellite tags and the light and temperature data were recorded with light-temperature loggers (LTLs), both devices deployed on individuals simultaneously and uploaded following the Darwin Core standard and compliance with the FAIR principles.
Editorial
Authors: Gütl Christian
Published: April 2023

Dear Readers, 

It gives me great pleasure to announce the fourth regular issue of 2023. I would like to thank all the authors for their sound research papers and the editorial board and our guest reviewers for their extremely valuable reviews and suggestions for improvement. These contributions and the generous support of the consortium members enable us to run our journal and maintain its quality. I would also like to thank our broader community for reading and incorporating sound J.UCS papers into their research. 

Still, I would like to expand our editorial board: If you are a tenured associate professor or above with a good publication record, please apply to join our editorial board. We are also interested in receiving high-quality proposals for special issues on new topics and emerging trends. 

In this regular issue, I am very pleased to introduce five accepted papers involving 14 authors from four different countries.

Seyedeh Mahsa Mirhoseini-Moghaddam, Mohammad Reza Yamaghani and Adel Bakhshipour from Iran look into fraud detection for Olive oil by applying smell and sight sensors resulting in an accurate, fast and non-destructive detection of adulteration in extra virgin olive oil. Fahimeh Ramazankhani, Mahdi Yazdian-Dehkordi and Mehdi Rezaeian report their research on kinship verification by analysing facial features based on various texture and color features and metric learning methods. Stefan Strydom, Andrei Michael Dreyer and Brink van der Merwe from South Africa contribute in their research to the International Classification of Disease (ICD) coding based on a transformer model applied to hospital discharge summaries. Fernando Terroso-Saenz and Andres Muñoz from Spain present their research on human mobility prediction using a long short-term memory and Gated Recurrent Unit neural network based on geo-data from cellular phones combined with data from road traffic sensors. Shefali Varshney, Rajinder Sandhu and P. K. Gupta from India report their research on cost-effective scheduling in fog computing based on the modified PROMETHEE technique. 

Enjoy Reading! 

Cordially, 

Christian Gütl, Managing Editor 
Feature Fusion and NRML Metric Learning for Facial Kinship Verification
Authors: Ramazankhani Fahimeh , Yazdian-Dehkord Mahdi , Rezaeian Mehdi
Published: April 2023

Features extracted from facial images are used in various fields such as kinship verification. The kinship verification system determines the kin or non-kin relation between a pair of facial images by analysing their facial features. In this research, different texture and color features have been used along with the metric learning method, to verify the kinship for the four kinship relations of father-son, father-daughter, mother-son and mother-daughter. First, by fusing effective features, NRML metric learning used to generate the discriminative feature vector, then SVM classifier used to verify to kinship relations. To measure the accuracy of the proposed method, KinFaceW-I and KinFaceW-II databases have been used. The results of the evaluations show that the feature fusion and NRML metric learning methods have been able to improve the performance of the kinship verification system. In addition to the proposed approach, the effect of feature extraction from the image blocks or the whole image is investigated and the results are presented. The results indicate that feature extraction in block form, can be effective in improving the final accuracy of kinship verification.
Human Mobility Prediction with Region-based Flows and Road Traffic Data
Authors: Terroso-Saenz Fernando , Muñoz Andres
Published: April 2023

Predicting human mobility is a key element in the development of intelligent transport systems. Current digital technologies enable capturing a wealth of data on mobility flows between geographic areas, which are then used to train machine learning models to predict these flows. However, most works have only considered a single data source for building these models or different sources but covering the same spatial area. In this paper we propose to augment a macro open-data mobility study based on cellular phones with data from a road traffic sensor located within a specific motorway of one of the mobility areas in the study. The results show that models trained with the fusion of both types of data, especially long short-term memory (LSTM) and Gated Recurrent Unit (GRU) neural networks, provide a more reliable prediction than models based only on the open data source. These results show that it is possible to predict the traffic entering a particular city in the next 30 minutes with an absolute error less than 10%. Thus, this work is a further step towards improving the prediction of human mobility in interurban areas by fusing open data with data from IoT systems.
L’enfance de la pensée : la philosophie avec les enfants.
Authors: Mokaddem Salim
Published: April 2023

Faut-il philosopher avec les enfants? L’enfance est-elle un régime anthropologique particulier au point où la doxa n’aurait pas encore teinté de ses biais épistémiques la logique du puer cogitans ? La question est rémanente dans l’histoire de la philosophie : les enfants sont-ils rationnels et suffisamment intelligents (non pas doués de raison) au point où les questions nécessaires et universelles peuvent être abordées avec eux?
Capital market and public health emergencies in Chinese sports industry based on a market model
Authors: Zhang Xinying , Zhao Chuanjun , Zhou Xianwei , Wu Xiaojun , Li Ying , Wu Meiling
Published: April 2023

The public health emergencies have had a significant impact on the world economy, and the sports industry has been no exception. This study employed StataMP-64 software and event study methodologies to examine the reaction of the Chinese sports industry's capital markets to the outbreak of public health emergencies. The event study method, which is becoming increasingly popular in the field of economics and management, is well-suited for evaluating the impact of specific events on stock returns in the capital market. This method has also garnered significant interest in the sports industry. In this study, the expected return is calculated using the classical market model, and the cumulative abnormal return and average cumulative abnormal return were calculated for each sports company during the period of the Wuhan "city closure" event and the inflection point event. The Wilcoxon non-parametric test has been used to examine the significance of the abnormal return. The results indicate that the event study method, applied to a procedural market model, is effective in analyzing the capital market's response to the public health emergencies outbreak in the Chinese sports industry.
Evaluation of the physicochemical parameters on the water quality of the major rivers of Zamboanga del Norte, Philippines
Authors: Laranjo Romie D. , Naguit Maria Rio A. , Jamolod Farida C. , Jambre Kristine Gladys E. , Cabornay Norma I. , Bernido Victor B. , Gahisan Maricon Denber S.
Published: April 2023

The province of Zamboanga del Norte is endowed with ample water resources which are the primary sources of domestic water for the people in the area. Nevertheless, these water resources face several man-made and industrial activities that generate unwanted pollution. In this study, the physicochemical characteristics of the major rivers of Zamboanga del Norte, Philippines were investigated to know the present condition and assess the overall water quality. The physicochemical parameters that were investigated includes pH, temperature, nitrate-nitrogen (NO3-N), total suspended solids (TSS), total phosphates ($ {\mathrm{P}\mathrm{O}}_{4}^{2-} $) and total mercury (Hg). The results of the water analyses revealed that the pH, temperature, nitrate as NO3-N and the total Hg were within the acceptable range prescribed by Department of Environment and Natural Resources (DENR) and World Health Organization (WHO). However, there was a significant increase of the total suspended solids (TSS) concentrations of 138±58.9,142.3±36.6 and 243±9.5 mg/L, respectively from downstream, midstream and upstream of Sindangan river. The total suspended solids (TSS) concentrations exceeded the permissible limit of 25–65 mg/L recommended by Department of Environment and Natural Resources (DENR). Furthermore, the data showed that all values of the total phosphates for all the river systems exceeded the prescribed limit. Thus, to maintain the water quality of these rivers, proper monitoring and government intervention are very much required.
Changes in public travel willingness in the post-COVID-19 era: Evidence from social network data
Authors: Yang Yazao , Tang Haodong , Weng Tangzheng
Published: April 2023

Amid the impact of COVID-19, the public's willingness to travel has changed, which has had a fundamental impact on the ridership of urban public transport. Usually, travel willingness is mainly analyzed by questionnaire survey, but it needs to reflect the accurate psychological perception of the public entirely. Based on Weibo text data, this paper used natural language processing technology to quantify the public's willingness to travel in the post-COVID-19 era. First, web crawler technology was used to collect microblog text data, which will discuss COVID-19 and travel at the same time. Then, based on the Naive Bayes classification algorithm, travel sentiment analysis was carried out on the data, and the relationship between public travel willingness and urban public transport ridership was analyzed by Spearman correlation analysis. Finally, the LDA topic model was used to conduct content topic research on microblog text data during and after COVID-19. The results showed that the mean values of compelling travel emotion were -0.8197 and -0.0640 during and after COVID-19, respectively. The willingness of the public to travel directly affects the ridership of urban public transport. Compared with the COVID-19 period, the public's fear of travel infection in the post-COVID-19 era has significantly improved, but it still exists. The public pays more attention to the level of COVID-19 prevention and control and the length of travel time on public transport.
Two classes of two-weight linear codes over finite fields
Authors: Rong Jianying , Li Fengwei , Li Ting
Published: April 2023

Let $ p\equiv 1\pmod 4 $ be a prime, $ m $ a positive integer, $ \frac{\phi(p^m)}2 $ the multiplicative order of $ 2 $ modulo $ p^m $, and let $ q = 2^{ \frac{\phi(p^m)}2} $, where $ \phi(\cdot) $ is the Euler's function. In this paper, we construct two classes of linear codes over $ \Bbb F_q $ and investigate their weight distributions. By calculating two classes of special exponential sums, the desired results are obtained.
On a class of nonlinear rational systems of difference equations
Authors: Alsulami Ibraheem M. , Elsayed E. M.
Published: April 2023

In this paper, we construct and formulate the solutions and periodicity character of the following nonlinear rational systems of difference equations:

\begin{document}
$
\begin{equation} S_{n+1} = \dfrac{T_{n} S_{n-2}}{S_{n-2} + T_{n-1}},\quad T_{n+1} = \dfrac{S_{n} T_{n-2}}{\pm T_{n-2} \pm S_{n-1}},\quad \;\;\;\; n = 0,1,2,...., \quad\quad\quad(0.1)\end{equation}
$
\end{document}

where the initial conditions $ s_{-2}, s_{-1}, s_0, t_{-2}, t_{-1}, t_0 $ are positive real numbers. Moreover, some mathematical programs are used to support our theoretical results of each system in this paper.
Fall detection based on dynamic key points incorporating preposed attention
Authors: Zheng Kun , Li Bin , Li Yu , Chang Peng , Sun Guangmin , Li Hui , Zhang Junjie
Published: April 2023

Accidental falls pose a significant threat to the elderly population, and accurate fall detection from surveillance videos can significantly reduce the negative impact of falls. Although most fall detection algorithms based on video deep learning focus on training and detecting human posture or key points in pictures or videos, we have found that the human pose-based model and key points-based model can complement each other to improve fall detection accuracy. In this paper, we propose a preposed attention capture mechanism for images that will be fed into the training network, and a fall detection model based on this mechanism. We accomplish this by fusing the human dynamic key point information with the original human posture image. We first propose the concept of dynamic key points to account for incomplete pose key point information in the fall state. We then introduce an attention expectation that predicates the original attention mechanism of the depth model by automatically labeling dynamic key points. Finally, the depth model trained with human dynamic key points is used to correct the detection errors of the depth model with raw human pose images. Our experiments on the Fall Detection Dataset and the UP-Fall Detection Dataset demonstrate that our proposed fall detection algorithm can effectively improve the accuracy of fall detection and provide better support for elderly care.
Provision of primary care pharmacy operated by hospital pharmacist
Authors: Chanasopon Suratchada , Saramunee Kritsanee , Rotjanawanitsalee Tanupat , Jitsanguansuk Natt , Chaiyasong Surasak
Published: April 2023

A primary care pharmacy (PCP) is operated by hospital pharmacists in Thailand. This study aims to explore the level of PCP provisions operated by hospital pharmacists, to identify health service components that affect PCP operation and to collect opinions from pharmacists regarding factors influencing PCP operation. A postal survey was conducted in northeastern Thailand. A questionnaire included: (1) the PCP checklist (36 items), (2) questions investigating the health service components required for PCP operation (13 items), and (3) queries to pharmacists concerning factors influencing PCP operation (16 items). Questionnaires were mailed to 262 PCP pharmacists. The PCP provision score was calculated with a max score of 36, and reaching at least 28.8 points was deemed as having ‘met expectation’. Multivariate logistic regression with a backward approach was used to determine health service components which affected PCP operation. Most respondents were female (72, 60.0%), aged 36.0 years (IQR 31.0–41.0) and PCP work experience of 4.0 years (IQR 2.0–10.0). Overall, the PCP provision score had met expectation (median = 29.00, Q1–Q3 = 26.50–32.00). Tasks that met expectation involved managing the medicine supply, a home visit with a multidisciplinary team and protecting consumer health. Improving medicine dispensary and promotion of self-care and herbal use were below expectation. PCP operation depended on doctor involvement (OR = 5.63 95% CI 1.07–29.49) and public health practitioner involvement (OR = 3.12 95% CI 1.27–7.69). The pharmacist's responsibility, i.e., a good relationship with the community, likely increased PCP provision. The PCP has been widely instituted in Northeast Thailand. Doctors and public health practitioners should get involved regularly. Further research is needed to monitor the outcomes and value of PCPs.
Što bi donošenje novog Zakona o Plovputu, Split moglo značiti za pravni status svjetionika na hrvatskoj obali?
Authors:   Pravni fakultet Sveučilišta u Zagrebu, Zagreb, Hrvatska, Miladin Petar , Ljubetić Sanja ,   Adriatic Croatia International Club, Rijeka, Hrvatska
Published: April 2023

Nastavno na objavu potrebe donošenja novog Zakona o Plovputu, Split, u doktrini i praksi postavilo se pitanje što bi navedeno moglo značiti za rješavanje problematike neujednačenog pravnog statusa svjetionika na hrvatskoj obali. Pokušavajući odgovoriti na navedeno pitanje, autori u radu analiziraju normativno uređenje pravnog statusa svjetionika koji se nalaze na hrvatskoj obali. Posebice se razmatraju zatečeni imovinskopravni odnosi, koji uključuju ugovorne odnose s trećim osobama kao i eventualna stečena prava i legitimna očekivanja pravnih subjekata na svjetionicima. Kao nužan preduvjet rješavanja te problematike analiziraju se primjenjivi propisi koji reguliraju formiranje katastarske čestice svjetionika, njezine evidencije, ali i moguća primjena instituta izvlaštenja. Daje se prikaz upravne i sudske prakse o pravnom statusu svjetionika. Razmatra se pravni i računovodstveni status svjetionika kao imovine društva Plovput d.o.o. Zaključno, u svrhu postizanja adekvatne razine normiranosti i uređenja zatečenih imovinskopravnih odnosa, predlaže se mogući smjer uređenja pravnog statusa svjetionika novim Zakonom o Plovputu, Split.
Lex certa u poredbenom pravu
Authors:   Pravni fakultet Sveučilišta u Splitu, Split, Hrvatska, Vukušić Ivan
Published: April 2023

U radu se analizira dio načela zakonitosti koji se odnosi na zahtjev nullum crimen nulla poena sine lege certa u kaznenom pravu. S obzirom na prijepore koje ovaj pojam nosi sa sobom i različite pravne sustave i njihove specifičnosti, objašnjena je iznimnost pojma i sadržaja lex certe u različitim pravnim poredcima. U pravu SAD-a naglasak je stavljen na 5. amandman koji proklamira due process klauzulu kojom se mora voditi kazneni zakonodavac. U pravu UK-a naglasak je na pojmu certainty. Navedena maksima polazi od individualne slobode adresata kako će prilagoditi svoje ponašanje i pravne određenosti, te se u političkom pravu pravna određenost analizira kroz rule of law. U pravu EU-a, gdje je kaznena nadležnost ograničena, načelo određenosti razmatra se kao double addressed norm kojim se obvezuje EU, ali i nacionalnog zakonodavca. U pravu VE-a je kroz praksu ESLJP-a detaljno razrađen pojam bića kaznenog djela, jasnoće i predvidljivosti te načina davanja pravnog savjeta.
Joint Microservices Caching and Task Offloading Framework in VEC Based on Deep Reinforcement Learning
Authors: Ghorab Ahmed S. , Rasheed Raed S. , Hammad Hatem M.
Published: April 2023

Vehicle capacities and intelligence are rapidly increasing, which will likely support a wide range of novel and interesting applications. However, these resources are not effectively utilized. To take advantage of these invaluable capabilities in smart vehicles, they can be used in the cloud environment and can be operated through distributed computing platforms in order to benefit from their combined processing power, storage capacity, and memory resources. Vehicular edge computing (VEC) is a promising field that allows computing tasks to be transferred from cloud servers to vehicular edge servers for processing, allowing data and apps to be placed closer to vehicles (users).

This paper proposes a framework that combines two modules, the first one for managing microservice caching in vehicle-mounted edge networks, such that we use cluster-based caching technique to deal with the case where similar microservices are frequently requested in VEC. The second one integrates the computational capabilities of the edge servers with the capabilities of vehicles to perform task offloading in a collaborative manner.

Our solution addresses the limitations of existing edge computing platforms during peak times by combining microservices caching with computational task offloading to improve overall system performance.
Post-Refactoring Recovery of Unit Tests: An Automated Approach
Authors: Abdallah Qusef  , Murad Sharefa , Najeh Alsalhi  , Eman Shudayfat
Published: April 2023

— In application development lifecycle, specifically in test-driven development, refactoring plays a crucial role in sustaining ease. However, in-spite of bringing ease, refactoring does not ensure the desired behaviour of code after it is applied. Because refactoring tends to worsen the alignments between source code and its corresponding units. One significant solution to the aforementioned issue is the technique called unit testing. As unit testing enable the developers to confidently apply refactoring while avoiding undesired code behaviour. Unit testing provides effective preventive measures for avoiding bugs by providing immediate feedback, thus assisting to mitigate the fear of change. In this work, we present a tool called GreenRefPlus which efficiently enables the developers to maintain the veracity of code after the process of refactoring is applied. The proposed tool provides automatic recovery for the unit tests after the code is refactored. In this work, we consider Java as our target programming language and we focus on five various types of refactoring, which include Rename Method, Extract Method, Move Method, Parameter Addition and Parameter Removal. Our experiments indicate that the proposed tool GreenRefPlus enables us to consistently refactor the code and apply unit tests. The results presented in our work reveal that the proposed tool assists developers in saving approximately 43% of the total time required to manually recover from broken unit tests.
The Development of Professional Competency Certification Assessment Model for Junior Mobile Programmers
Authors: Novaliendry Dony , Ahyanuardi  , Irma Yulia Basri  , Noper Ardi  , Nathasyah Utami Hakim  , Muhammad Fadilh Putra Pratama  , Nenny Mahyudin
Published: April 2023

Indonesia’s Vision 2045 is an essential basis to determine the direction of the country’s development in line with four main pillars which include the development of human resources (HR). This involves producing quality, healthy, intelligent, adaptive, innovative, and skilled human resources with character. The achievement of this goal requires the improvement of the competence and professional certification quality towards ensuring HR are reliable and competent in different fields such as the vocational area which involves Informatics Engineering (IT). Therefore, this research was conducted based on the gap observed in HR which is indicated by a lower proportion of Indonesian workers in the IT field compared to other ASEAN countries. It was also observed that the assessment process and results of the Junior Mobile programmer scheme by the Professional Certification Institute (LSP) for Digital Technology have not been optimally tested. This is indicated by the fact that the assessment activities are being conducted without the full implementation of a centralized and systematic technology-based system, thereby causing problems in the remote assessment process. Moreover, professional associations, academia, and industry were not involved in designing a tested and reliable assessment model. I this research was conducted from March 2022 to December 2023 with the trial subjects from the Digital Talent Scholarship (DTS) training program, Vocational School Graduate Academy (VSGA) of the Ministry of Communications and Informatics. There were 40 sessions which consist of 20 for the experimental class and 20 for the control class. Furthermore, the data collection instruments included questionnaires, documentation, interview guides, observations, and competency tests while descriptive and quantitative analyses were conducted through the I'ken V and factor analysis tests using the LISREL and SPSS applications.
Sentiment Analysis in Social Medias for Threats Prediction of Natural Extreme Events
Authors: Ibañez Marilyn Minicucci , Rosa Reinado Roberto , Guimarães Lamartine Nogueira Frutuoso
Published: April 2023

This chapter presents a multidisciplinary solution that considers as evolution of endogenous natural extreme event deforestation the threats of droughts and fires in the Brazilian Amazon region. The data are collected from social media, such as newspapers and magazines, related to the domain of droughts and fires that could trigger and accelerate the process of deforestation in the period from 2015 to 2020. The data science concepts and natural language processing with sentiment analysis are used and generate the degree of threat that each news presents regarding the possibility of deforestation. This threat degree generates an endogenous time series that will be used to predict the threat evolution of occurrence of drought, fire, and deforestation for a future of three months. The time series prediction is performed using machine learning and deep learning with an LSTM neural network. An analysis of the endogenous time series is performed using the statistical tools of mean, variance, standard deviation, asymmetry, and kurtosis.