bluuebunny/crossref_metadata_2025 huggingface dataset:
Luonnon rajoja etsimässä
Authors: Herlin Ilona
Published: December 2024

Artikkeli pohtii ihmisen ja luonnon välisen rajan kielellistä muodostumista analysoimalla ilmaustyyppejä päästä luontoon ja kuulua luontoon. Nämä ilmaustyypit osoittautuvat yleisiksi suomenkielisissä teksteissä; 2325 virkettä käsittävä aineisto on poimittu Suomi24-keskustelupalstalta. Tutkimus on ekolingvistinen ja sen teoreettisena taustana on kognitiivinen kielentutkimus, josta hyödynnetään etenkin Leonard Talmyn (2000) voimadynamiikan käsitteistöä. Tutkimuksessa analysoidaan niitä voimia, joiden käsitteistykset pitävät analysoiduissa konteksteissa yllä ihmisen ja luonnon välistä rajaa, ja pyritään sitä kautta paljastamaan yleisempiä kulttuurisia käsityksiä ihmisen ja luonnon välisestä rajasta ja luonnosta sinänsä.
Luonnon ja kulttuurin välistä rajaa kuvataan tutkimuksen aineiston lauseissa erilaisten voimien kohtauspaikkana. Ilmauksen päästä luontoon kohdalla luontoon vieviä voimia eli agonisteja tunnistetaan kaksi tyyppiä: ihmisten ja eläinten kyseessä ollen näiden intentionaalisten olioiden oma intentio, haitallisten aineiden kohdalla taas painovoima tai aineen oma energia. Antagonistisiksi vastavoimiksi, jotka näyttäytyvät näiden olioiden ylitettävinä esteinä, paljastuvat analyysissa ihmistä rajoittavat olosuhteet, kuten säätila, vuodenaika, kaupunkiasuminen, ja eläinten ja haitallisten aineiden tapauksessa ihmisen rakentamat säiliöt ja esteet tai hyödyntämät luonnonmuodostelmat. Ilmauksen kuulua luontoon analyysi tuo ilmi, että rajaa pitää yllä ihmisten intentioiden tuottama voima, joka on kiteytynyt kulttuurisiksi käytänteiksi, kuten asumis- ja muiksi rakenneratkaisuiksi ja totunnaisiksi tavoiksi suhtautua eläimiin ja kasveihin ja myös ihmisen omaan elämään.
Analyysi tuo esiin myös yleisempiä kulttuurisia käsityksiä luonnosta. Tarkastelluissa yhteyksissä luonto näyttäytyy yhtäältä paikkana tai sijaintina, jonne voi siirtyä, ja toisaalta järjestelmänä. Luonnon ja kulttuurin raja osoittautuu joissain tapauksissa rakennelmaksi, mutta usein se on liikkuva ja neuvoteltava. Se on ylitettävissä esimerkiksi käytännön järjestelyin, kun puhutaan luonnosta paikkana, ja argumentein, kun puhutaan luonnosta järjestelmänä. Vaikka luonnon ja kulttuurin raja piirtyy osin keskusteltavaksi, se näyttäytyy samalla myös lain ja jumalan kaltaisten auktoriteettien määrittämänä. Raja on myös molemminpuolisen uhan kohtauspaikka. Tietyt oliot luonnossa, kuten sudet, muodostavat uhan ihmiselle, jolloin niille määritellään raja. Kulttuurin puolella sijaitsevat lemmikki- ja tuotantoeläimet samoin kuin esimerkiksi myrkyt voivat luonnon puolella olla uhka sen järjestelmälle, mikä toiselta puolen motivoi rajan vetoon.  Luonto voikin saada toisaalta vaarallisen paikan merkityksen, mutta toisaalta se on järjestelmänä hauraaksi mielletty.
Luontoon voidaan liittää hyvin myönteisiä affekteja. Se on saavutettava paikka, johon myös halutaan siirtyä. Luontoon kuuluminen saa myös oikeuttavan merkityksen: jos jokin kuuluu luontoon, on se sille olemassaolon oikeutus. Luonto on evoluution mukana kehittyvä tai Jumalan luoma. Eläimille se edustaa vapautta, ihmisille virkistyspaikkaa.
Promising varieties and hybrid forms of apricot breeding of the Dagestan breeding experimental station of fruit crops
Authors:   Dagestan Breeding Experimental Station of Fruit Crops – branch of the «Federal State Budget Scientific Institution Federal Agrarian Scientific Center of the Republic of Dagestan», Buynaksk, Russian Federation, Karaev M.K. , Battalov S.B. ,   Dagestan Breeding Experimental Station of Fruit Crops – branch of the «Federal State Budget Scientific Institution Federal Agrarian Scientific Center of the Republic of Dagestan», Buynaksk, Russian Federation, Iziev G.D. ,   Dagestan Breeding Experimental Station of Fruit Crops – branch of the «Federal State Budget Scientific Institution Federal Agrarian Scientific Center of the Republic of Dagestan», Buynaksk, Russian Federation
Published: December 2024

Abstract. The article presents the results of a comprehensive assessment of breeding varieties and hybrid
forms of apricot (Prunus armeniaca L.) for 2021-2023 based on the following traits: yield capacity, resistance
to major diseases (clasteresporium and moniliosis), and fruit quality. The following varieties were distinguished by yield capacity: Tamasha (8.0 t/ha), Uzden (8.9 t/ha), Kokan kyurek (7.3 t/ha) (early ripening);
Hukumat kyurek (10.2 t/ha) and hybrid 3/34 (9.2 t/ha) (mid-season ripening) and Esdelik (10.4 t/ha), Untsukulskiy late (10.6 t/ha), Dzhengutaevskiy (9.7 t/ha) (late ripening). Among the studied breeding varieties
and hybrid forms, Tamasha (0.5 points) and Uzden (0.1 points) are noted for their comparatively high resistance to clasterosporium. For the other varieties and hybrid forms, this indicator is in the range from 1.0
points to 1.7 points. In terms of resistance to blossom blight, Tamasha and Uzden (0.5 points) stand out
among the early varieties; among the mid-season ripening varieties, the seedling Khonobakha (0.5 points)
and among the late varieties, Dzhengutaevskiy and Untsukulskiy pozdniy (0.5 points). Damage by fruit rot
in most varieties and hybrid forms fluctuates between 0.1 and 0.5 points. Only three varieties have this indicator in the range from 0.8 to 1.0 points. The content of total sugar in fruits of breeding varieties and hybrid
forms of apricot varied from 5.8 to 9.8%. The varieties with large fruit size (fruit weight over 35 g) Bukhara,
Esdelik, Uzden, Salikh, Musa, Dzhengudaevskiy and hybrids 3/34 and 6/22 have been selected. The selected
breeding varieties and hybrid forms of apricot will be recommended for inclusion in targeted crossings in
order to increase the efficiency of the breeding process.

Keywords: breeding variety, hybrid form, adaptability, clusteresporium, moniliosis, fruit rot, yield
capacity
Apnea obstructiva del sueño en REM y su relevancia clínica
Authors: Severiche-Bueno Diego Fernando , Bazurto Zapata María Angelica
Published: December 2024

REM-related obstructive sleep apnea is an entity that occurs in a subgroup of patients with obstructive sleep apnea that has generated interest in recent years.  Although it is an entity that has been described throughout several years, only now has research begun to investigate its differences concerning obstructive sleep apnea with a predominance of NREM sleep.  Thus, efforts have been made to establish the role of REM sleep and to determine its associations with relevant clinical scenarios in daily practice, such as daytime sleepiness and cardiovascular disease. This article reviews the importance of REM sleep and describes the available evidence regarding REM-related obstructive sleep apnea and its possible association with daytime sleepiness, systemic arterial hypertension, and cardiovascular disease.
Desempeño de una herramienta para la valoración del insomnio
Authors: Vargas Ramírez Leslie Katherine
Published: December 2024

La prevalencia de insomnio durante la pandemia de COVID-19 aumentó de forma significativa, afectando no solamente a quienes presentaron la enfermedad, sino a la población general y constituyéndose, además, en uno de los motivos de consulta más frecuentes en las personas recuperadas de COVID-19. 
El uso de escalas estandarizadas para el abordaje del insomnio nos da una aproximación uniforme de la enfermedad, permitiendo la comparación entre diferentes poblaciones, así como con estudios de referencia, lo cual aporta al conocimiento no solamente de la epidemiología sino de la presentación clínica.
Confiabilidad y validez de la Escala de Insomnio de Atenas en personas recuperadas de la COVID-19
Authors: Campo Arias Adalberto , Caballero Domínguez Carmen Cecilia , Pedrozo-Pupo John Carlos
Published: December 2024

Background: The Athens Insomnia Scale (AIS) is a tool with high reliability and validity to identify cases of insomnia. However, the performance of AIS among people recovered from COVID-19 is unknown. Objective: The study aimed to test the reliability and validity of AIS in a Colombian sample of people recovered from COVID-19.
Materials and Methods: Three hundred and thirty people recovered from COVID-19 filled out the AIS. The participants were aged between 18 and 89 years (M = 47.7, ± 15.2), and 61.5% were female. Confirmatory factor analyses and Cronbach's alpha were computed.
Results: The AIS showed a good two-dimension structure. The first dimension (items 1 to 5, ‘nocturnal sleep problem’) presented Cronbach’s alpha of 0.90, and the second dimension (items 6 to 8, ‘daytime dysfunction’) of 0.79.
Discussion and conclusions: The AIS presents a two-dimension structure, each dimension with high internal consistency, among a Colombian sample of people recovered from COVID-19. The AIS can be used to identify cases of insomnia among people recovered from COVID-19.
Revisión de los métodos diagnósticos de la Trombosis Venosa Profunda y Embolismo Pulmonar. Rol del Fragmento D de fibrina
Authors: Garay-Fernández Manuel , Arias Mira David Esteban
Published: December 2024

Introduction. Venous thromboembolic disease, represented by deep venous thrombosis and pulmonary embolism, constitutes a highly prevalent pathology in both in- and out-of-hospital patients, with an increasing number of associated risk factors, some of them not represented in the risk and prognosis scales currently implemented, such as solid organ neoplastic and hematological pathologies, which have been associated with false positives in the results of tests such as D-dimer and recurrent thrombotic events, which makes it difficult to establish a diagnostic algorithm and anticoagulation time after resolution of the initial thrombotic event. 
Objective. To document the use of compression Doppler ultrasound of the lower limbs, Pulmonary Resonance Angiography (PRA), and Chest Computed Tomography with Iodine Mapping (CTIM) in patients with cancer and suspected thrombotic events have a negative predictive value comparable to D-dimer in the absence of cancer. Therefore, more significant implementation of these diagnostic strategies in the algorithms for these patients is required.
Materials and methods. A search of published literature in the Medline (PubMed), OncoWeb, and CancerLit (HealthGate) databases, with the following MeSH terms: pulmonary embolism, venous thrombosis, neoplasms, diagnosis, D-dimer or fibrin fragment D, and epidemiology (epidemiology).
War-related Kidney Injuries
Authors: Nikitin Oleg , Samchuk Pavlo , Krasiuk Oleksii , Horban Oleksii , Onis Ruslan
Published: December 2024

Increased intensity, changes in the nature of combat operations and development of munitions makes it important to study up-to-date information and improve methods of treatment of internal injuries, including those of the urinary system.
Combat injuries to the genitourinary system account for 1-3% of all injuries. The kidneys are the most frequently injured, and among all injuries during military conflicts, kidney battle trauma (KBT) account for 1-5%, and according to statistics, in 80% of cases they are combined with internal organ damage.
Kidney battle trauma is an isolated or combined injury to the kidney tissue with other internal organ involvement, acquired during hostilities and caused mainly by firearms, which is the main cause of penetrating injuries and is usually more serious and less predictable than blunt trauma. There are two groups of KBTs: closed (blunt) and open (penetrating or through). Open traumas, depending on the nature of the injury, can be bullet, shrapnel, stabbing, cutting, etc. According to the American Association for the Surgery of Trauma and the European Association of Urology, there are five degrees of severity of kidney damage.
During war, medical care for the wounded begins on the battlefield on the principle of self- or mutual aid. Depending on the situation, it may include temporary bleeding control, administration of painkillers and antibiotics. The specifics of diagnosing and providing medical care as a result of a KBT depend on the intensity of hostilities at the frontline and the speed of evacuation of the wounded soldier to the appropriate medical facility. Military surgery is complex and unpredictable, requiring a multidisciplinary approach that should focus not only on the primary injury but also on possible and potentially life-threatening complications, such as wound infections.
Analyzing the data obtained in the combat zone, it can be stated that kidney damage is one of the most common and serious problems among military personnel and civilians. The causes of such injuries range from direct exposure to blast waves and shrapnel to indirect injuries caused by landslides and other consequences of war.
A timely and comprehensive approach to the diagnosis and treatment of kidney battle trauma, adapted to the specific conditions of military operations, is critical to preserving the lives and health of war victims.
Sentiment Analysis of Social Media X in the 2024 Indonesian Presidential Election Using the Naive Bayes Algorithm: Candidates' Backgrounds and Political Promises
Authors: Prayudani Santi , Situmorang Dita Rouli Basa , Hidayah Rizki , Ginting Heri Sanjaya
Published: December 2024

In 2024, Indonesia holds a presidential election, and the candidates are making promises to each other to attract voters. Many people gave their opinions on X. This study uses the Naïve Bayes algorithm to analyze the sentiment of these tweets, with the aim of understanding the background of the candidates and their campaign promises. Data is collected from X by crawling technique, then data is pre-processed, trained using Naïve Bayes model, and evaluated for accuracy. Sentiments in tweets were classified as positive, negative, or neutral. The results showed that the Prabowo Subianto - Gibran Rakabuming Raka pair was the most talked about with 1005 tweets, followed by Anis Rasyid Baswedan - Muhaimin Iskandar with 707 tweets, and Ganjar Pranowo - Mohammad Mahfud M.D. with 572 tweets. The Prabowo Subianto - Gibran Rakabuming Raka pair received the most positive sentiment, which was 446 more than the other candidates.
Analysis of Splicing Manipulation in Digital Images using Dyadic Wavelet Transform (DyWT) and Scale Invariant Feature Transform (SIFT) Methods
Authors: Muhidin Zumratul , Karim Muh. Nasirudin , Efendi Muhamad Masjun
Published: December 2024

In the digital age, image manipulation is common, often done before publication on social media. However, this can lead to negative impacts, including visual deception. This research aims to detect splicing type image manipulation using Dyadic Wavelet Transform (DyWT) and Scale Invariant Feature Transform (SIFT) methods. The process starts with image decomposition using DyWT to obtain LL sub-images, followed by local feature extraction using SIFT. An application built on desktop-based Matlab source was developed to detect splicing forgery in digital images. The test used 20 images, this image dataset was taken from canon 5d mark II camera and Vivo X80 mobile phone. Each 10 original images, and 10 edited images. These 10 original images are left as they are without making changes, editing or manipulation, while the other 10 images are changed, edited or manipulated using editing software, the results of this editing are uploaded to social media, such as Facebook and Instagram, which will later be used as datasets in testing. The results show that the splicing technique is detected accurately, and processing is faster on images with low pixel resolution. The DyWT and SIFT methods are effective in detecting post-processing attacks such as rotation and rescaling, although they have drawbacks. DyWT struggles in detecting subtle changes and noise, while SIFT is less effective on non-geometric manipulations. Overall, both methods face challenges in detecting complex manipulations and require significant computational resources, especially on high-resolution images.
Aspect-Based Sentiment Analysis for Enhanced Understanding of 'Kemenkeu' Tweets
Authors: Sejati Priska Trisna , Alzami Farrikh , Marjuni Aris , Indrayani Heni , Puspitarini Ika Dewi
Published: December 2024

The perceptions and expressions shared by the public on social media play a crucial role in shaping the reputation of government institutions, such as the Ministry of Finance MOF (Kemenkeu) in Indonesia which also has faced increased scrutiny, particularly on Twitter. This study analyzes public sentiment towards the Indonesian Ministry of Finance (MoF) through Aspect-Based Sentiment Analysis (ABSA) on Twitter data. Using a dataset of 10,099 tweets from January to July 2024, this study combines IndoBERT for sentiment classification and Latent Dirichlet Allocation (LDA) for topic modeling. Here, LDA was tested across four scenarios that considered various combinations of stopwords removal and stemming techniques, resulting in coherence scores of 0.314256, 0.369636, 0.350285, and 0.541752. The most optimal results were achieved in the scenario of stopwords removal without stemming (with 0.314256 coherence score). The main results show: 1) Identification of four main topics related to MoF: Economy, Budget, Employees, and Tax; 2) The dominance of negative sentiment (6,837 tweets) compared to positive sentiment (198 tweets) across all topics; 3) The effectiveness of IndoBERT in handling the complexity of the Indonesian language, especially in interpreting context and language nuances; 4) The importance of proper preprocessing, with a scenario of removing stopwords without stemming resulting in the most relevant topics. This study provides valuable insights for MoF to understand public perception and identify areas that require special attention in public communication and policy.
Real-time Detection Transformer (RT-DETR) of Ornamental Fish Diseases with YOLOv9 using CNN (Convolutional Neural Network) Algorithm
Authors: Huda Dwi Nurul , Romdoni Mochammad Rizki , Safitri Liza , Winarni Ade , Rahman Abdur
Published: December 2024

The lack of specialized tools to check the condition of ornamental fish has hindered effective management. This research proposes a novel software architecture that uses the YOLOv9 model combined with RT-DETR to enable accurate and timely identification of ornamental fish conditions including fish diseases, empowering farmers and hobbyists with a valuable resource. This integration is done using Soft Voting Ensemble Learning technique. To achieve this goal, an Android mobile application successfully classified healthy fish and accurately identified common diseases such as bacteria, fungal, parasitic, and whitetail. Based on the test results, the integration accuracy of the YOLOv9 and RT-DETR models produced a high result of 0.8947 while the stand-alone YOLOv9 showed 0.8889 and the stand-alone RT-DETR of 0.8904. Recommendations are given for the combination of YOLOv9 and RT-DETR in condition detection and diagnosis of ornamental fish diseases.
Optimization of Direct Sales and Sales Canvasser Sales Target Monitoring With RESTful API Implementation on Web-Based Monitoring System
Authors: Friwaldi Restian Dwi , Widiono Suyud
Published: December 2024

RESTful API offers advantages in real-time data exchange, scalability, and ease of integration with other systems. This research aims to develop a web-based monitoring system using RESTful API to optimise the monitoring of direct sales targets and sales canvassers at. This system is built with Laravel framework and Agile method, focusing on ease of use and real-time data access. Tests were conducted using Apache JMeter with load scenarios of 500, 750, and 1000 users. The test results showed response times of 758 ms for 500 users, 762 ms for 750 users, and 880 ms for 1000 users, all below the target of 900 ms. The error rate was recorded at 0.00%, indicating the high reliability of the system. The throughput achieved was 90.30 requests per second for 500 users, 124.30 requests per second for 750 users, and 159.10 requests per second for 1000 users, exceeding the target of 150 requests per second. Recommendations for further development are the integration of mobile applications for accessibility and real-time monitoring of sales performance.
Sentiment Analysis on Tabungan Perumahan Rakyat (TAPERA) Program by using Support Vector Machine (SVM)
Authors: Syahputra Rizki Agam , Arifin Riski , . Suryadi , Iqbal Muhammad
Published: December 2024

This study aims to analyze public sentiment towards the Housing Savings Program (TAPERA) using the Support Vector Machine (SVM) algorithm. The dataset comprises 16,061 reviews about TAPERA which was gathered from web scrapping and YouTube API. The sentiment analysis results indicate that 99.8% of the reviews are negative, while only 0.2% are positive. The SVM model applied in this study achieved a very high accuracy rate of 99.81%. This indicates that the model is highly effective in classifying sentiments, particularly in identifying negative sentiments. The resulting confusion matrix shows the model's excellent performance in detecting negative sentiments, with no False Positives (FP) and a very high number of True Negatives (TN). However, the model exhibits weaknesses in detecting positive sentiments, as indicated by the presence of several False Negatives (FN) and the absence of True Positives (TP). The findings of this study suggest that the public generally holds a very negative view of the TAPERA program. This insight is crucial for program administrators to consider as they evaluate and improve the program based on negative feedback received from the public. Overall, this research provides important insights into public perceptions of TAPERA and underscores the need for better modeling for more representative sentiment analysis. These findings can serve as a basis for policymakers in designing more effective communication strategies and program improvements to increase public acceptance of TAPERA.
Analysis of noisy spectra of electron paramagnetic resonance
Authors:   Faculty of Physics M.V. Lomonosov Moscow State University, 119991 Moscow Leninskie Gory, b.1, Vorobeva E.A. , Koksharov Yu.A. ,   Faculty of Physics M.V. Lomonosov Moscow State University, 119991 Moscow Leninskie Gory, b.1,   Kotelnikov IRE RAS 125009, Russia, Moscow, Mokhovaya str., 11, b.7, Taranov I.V. ,   Kotelnikov IRE RAS 125009, Russia, Moscow, Mokhovaya str., 11, b.7, Gulyaev Yu.V. ,   Kotelnikov IRE RAS 125009, Russia, Moscow, Mokhovaya str., 11, b.7
Published: December 2024

The paper compares various methods for analyzing the signal of noisy EPR spectra, including those that allow increasing the signal-to-noise ratio. The EPR spectra were modeled (by computer calculation) or adjusted (in the case of an experiment) using the Tsallis function, which made it possible to smoothly adjust the shape of the line. It is shown that the method of minimizing the error function at low noise determines the parameters of the spectrum with high accuracy, but at high noise is inferior to the maximum likelihood method. It was found that the procedure of "smoothing" the spectra increases the signal-to-noise ratio, but practically does not improve the accuracy of determining the signal parameters. Measurements and analysis of the intrinsic noise of the Varian E-4 X-band EPR spectrometer, necessary for the application of the maximum likelihood method, revealed the Gaussian distribution for experimental noise.
Pfeffel vagy van der Bruggen? A Parvus atlas kiadásainak összehasonlító vizsgálata
Authors: PÁSZTI László
Published: December 2024

A tanulmány célja a 18. században megjelent Parvus atlas kiadástörténetének új adatait bemutatni.A magyar vonatkozású térképlapok nemrégiben előkerült változatainak összehasonlítása lehetővé teszi az egyeslapok megjelenése időbeli sorrendjének pontosítását.
Developing and modeling precipitation duration curves and determining spatial and temporal distributions of precipitation over different percentages of time
Authors: Keskiner Ali Demir , Çetin Mahmut
Published: December 2024

Determining the temporal distribution of precipitation is of critical importance for engineering hydrology, agricultural yield forecasting, and drought monitoring. The aims of the research carried out in this context were threefold: a) to develop "precipitation duration curves", i.e., PDCs, of long-term total precipitation series, b) to investigate likely mathematical models of PDCs of each meteorological station studied, and c) to determine spatial and temporal distributions of precipitation that occur equalled or exceeded at 50% and 80% of the time. In line with the objectives, the PDCs were developed for each meteorological station. To this end, long-term annual precipitation data series were obtained from a total of 11 meteorological stations located in and around the borders of Sanliurfa province. PDCs of meteorological stations were modelled using the fifth-order regression equation at the 5% significance level. The mathematical forms of the developed model equations were used to predict precipitation amounts for each station at 50% and 80% of the time. The predicted precipitation data were mapped to delineate the spatial distribution of precipitation, and then hypsometric curves were generated from these maps. It was found that the standard errors (SE) of the "precipitation duration curves" models showed an increasing tendency as the standard deviation of the rainfall series increased. Regression analysis results showed that the SE values of the models change in direct proportion to the increase in extreme precipitation values. Considering the amount of precipitation that exceeds or equals 50 per cent of the time, it can be concluded that "Semiarid" climate characteristics prevail in the south of Hilvan meteorological station and "Humid" climate characteristics in the north. The precipitation, which occurs 80% time equaled or exceeded, indicates "Arid" climate characteristics in the southern parts of the Harran district and "Semiarid" climate characteristics in the northern parts of the study area. Considering the area averaged precipitation values corresponding to the two exceeded or equalled the percentage of time ratios, i.e., 50% and 80%, it can be concluded that "Semiarid" climate characteristics are dominant in Sanliurfa province and its surrounding geography.
Dual Enrollment and Conditional Credit Acceptance: Effects of Georgia’s Articulation Agreement on Timely Degree Completion
Authors: Spencer George , Monday Alex
Published: December 2024

Many high school students access dual enrollment at 2-year colleges, but the credits associated with their college-level courses may not transfer if they later matriculate to 4-year institutions as first-year undergraduates. In this study, we ask whether statewide articulation agreements can support the postsecondary success of participants by preserving the credits earned and facilitating academic momentum. Employing the administrative data of students in Georgia, we use a difference-in-differences approach to investigate the effect of the state’s 2012 policy on 4-year college undergraduates who participated in dual enrollment at 2-year colleges. We find a positive impact of the policy on timely degree completion, but the effect is conditional, as it applied only to students who completed the coursework identified by the articulation agreement.
A Study on the Factors Influencing the Willingness to Return to Farm: Focusing on the moderating effect of family support
Authors:   Asia-Europe Perspective Association, Kang seong il , Ha kyu soo
Published: December 2024

Due to the aging of the rural population and the depopulation of the region, the extinction of rural regions is expected to increase rapidly, raising serious concerns about the maintenance and preservation of the region. In this situation, the number of returning and returning households is increasing due to the retirement of the baby boomers in the city, job shortages due to the long-term economic downturn, and support from the government and local governments. I’m looking forward to it. Unlike the motives of returning to farming and returning villages, which were made up of economic motives immediately after the IMF, in recent years, returning farming and returning villages have occurred due to various social motives such as rural preference, farming, and leisure life. However, the survival rate after returning home is very low. This study is an empirical study on the factors affecting the willingness to return to farming, and analyzed the relationship between preparation for return to farming, environmental incentives, policy support, burden of failure, family support and willingness to start a business. To this end, a questionnaire survey was conducted on potential returnees among prospective farmers, and a total of 320 copies of data were used. The research results are as follows.
In this study, multiple regression analysis and hierarchical regression analysis were conducted to analyze the factors affecting farming will and the moderating effect of family support. Among the demographic characteristics of the control variable, the discontinuous variable was converted into a dummy variable, and the multicollinearity between the independent variables was confirmed by the variance inflation factor (VIF). In the case of the variance expansion coefficient, if it is less than 10, it is judged that there is no problem of multicollinearity.
First, it was found that the higher the level of readiness to return to farming, that is, the higher the funding to return to farming and the network to prepare for returning to farming, the higher the willingness to return to farming. There was a significant positive (+) moderating effect of family support between and willingness to return to farming. On the other hand, significant moderating effects of family support were not analyzed between environmental incentives, support for farmers, burden of failure and willingness to return to farming. For a successful return to farming, it is necessary to raise the readiness for returning to farming, and then return to farming should be made, and support of the family is necessary to cultivate this will.
Authentic Leadership, Organizational Commitment and Innovative Behavior In Chinese Construction Industry: The mediating effect of Organizational Identification and moderating effect of Positive Psychological Capital
Authors:   Asia-Europe Perspective Association, ZHANG YUWEN , Hahn Juhee
Published: December 2024

In recent years, China’s construction industry has been developing rapidly, so the requirements for the comprehensive quality and innovation ability of employees have become higher and higher. However, at present, the quality of employees in China’s construction enterprises is generally low, and the innovative vitality and efficiency of employees are not high. Moreover, the long working hours and high intensity of the construction industry have led to a rising trend of employee turnover year by year. Therefore, how to choose the right leadership style, enhance employees’ organizational commitment and innovative behavior has become the core of human resource management work in construction companies.
Based on the social exchange theory, COR theory, and social identity theory, this study aims to investigate the impact of authentic leadership on organizational commitment and innovative behaviors through organizational identification in China’s construction industry. And positive psychological capital was added as a moderating variable. Total of 393 employees and 62 teams from construction enterprises were used as survey samples, and multi-level data analysis using SPSS 26.0 and Mplus 8.0 was employed. The results showed that authentic leadership was positively related with organizational commitment and innovative behavior while authentic leadership enhanced organizational commitment and innovative behavior through organizational identification. Moderating effects of positive psychological capital was also found. This study discusses the theoretical and practical implications of these results. First, This study extends the study of the outcome variables of authentic leadership in the construction company by studying organizational commitment and innovative behavior of employees from the organizational level across levels. Second, This study uses authentic leadership in the Chinese context as an entry point for research to complement research on the impact of authentic leadership styles on employees’ organizational commitment. Third, this study expanded the mediating role of organizational identification between authentic leadership and innovation behavior. Fourth, this paper identified the moderating role of psychological capital between authentic leadership and organizational commitment and innovative behavior in the Chinese context, and the findings complement related research on psychological capital. Also, this paper puts forward the recommendations for human resource management. And considers the limitations and possible future research directions.
Relationship between Chinese Financial Cycle and Business Cycle
Authors:   Asia-Europe Perspective Association, Feng Kun , Lee Ki Seong
Published: December 2024

The data used in this research are from the first quarter of 2001 to the third quarter of 2020 to analyze the relationship between the financial cycle and the business cycle in China.
The research results are as follows:
First, the cycling period of housing price cycles and equity price cycles are relatively short in comparison with the ratios of total credit to the private credit to GDP.
Second, the research shows that the selected indicators faithfully manifest the medium-term cycle.
Third, in terms of the financial cycle, because of the peak, there is concern that this could lead to a financial crisis.
Fourth, the financial cycle and business cycle were synchronized before the global financial crisis of 2008. However recently they are at odds.
The monetary policy and financial stability have always been the main research questions of researchers. Because of the several financial crises, their importance has become more prominent. In addition, since the Great Moderation, leading researchers at the Bank for International Settlements (BIS) have studied the relationship between the stability of the real economy and financial stability with the concepts of financial cycle and business cycle.
They pay attention to the expansion and contraction of the real economy caused by the financial sector. For the real economy, it not only needs to deal with the impact of the financial sector, but to distinguish the internal factors of the business cycle and the financial cycle. The point is that the two cycles are not always in sync. In the contraction period of the business cycle, the financial cycle can be in the expansion period, and vice versa. Thus, monetary policy aimed at price stability is often at odds with macroprudential policy aimed at financial security. It is an important task to properly integrate monetary policy and macroprudential policy according to different conditions.
According to the research results, the enlightenment is obtained as follows:
First, the financial cycle is inevitable, and it refers to the expansion and contraction of credit according to the certain period of the economic cycle. If the financial cycle is excessively amplified, the credit and asset prices will have boom-bust. Therefore, in order to mitigate the fluctuation of the financial cycle, it is necessary to create a sound macroeconomic environment by shaking off excessively low interest rates and implementing targeted policies.
Second, in the financial cycle, it is very important to monitor the asset price development so as to avoid excessive asset prices bubble.
Third, as the information and financial technology developing rapidly, although the changes of financial structure are inevitable, the procyclicality of the financial system has greatly increased, and the duration and intensity of the financial cycle have also greatly increased. Therefore, the country should begin to find measures to decrease the procyclicality of financial cycle.
A Study on Use Intentions of Chinese Smart Home Service Applied the Theory of Planned Behavior and Technology Acceptance Model
Authors:   Asia-Europe Perspective Association, Guo Chen Guo Chen , Ryu Mi Hyun
Published: December 2024

In recent years, with the advancement of technology and the improvement of Internet of Things technology, it has promoted the development of the smart home service industry. The size of the Chinese smart home service market is showing steady growth. The development of China’s smart home service has benefited from many factors, such as a stable industrial environment and the rapid development of 5G networks, and the smart home service industry has received continuous attention from consumers. China’s economy and society have been severely affected since the COVID-19. But now, as the COVID-19 is controlled and the economy is recovering, the domestic demand market is gradually opening up, and creating much opportunities for the development of China’s smart home service industry. In addition, with the gradual sophistication of consumption, consumer demands for smart home services that combine usability and functionality are increasing. Therefore, in this research, the factors affecting the use intentions of smart home services are explored through empirical analysis by combining the Theory of Planned Behavior and the Technology Acceptance Model. In this study, users and non-users of smart home services in Beijing and Shanghai were surveyed, and a total of 298 valid questionnaires were collected. This research used AMOS 21.0 program and SPSS 25.0 program for data analysis.
The results show that, among the variables of the Theory of Planned Behavior, subjective norms have a positive effect on the use intentions of smart home services. Among the variables of the Technology Acceptance Model, usefulness, ease of use, and enjoyment all had a positive effect on the use intentions of the smart home service. In addition, this research verified the moderating effect of privacy risk. It is verified that enjoyment has a significant moderating effect on the use intentions. This research aims to help companies related to smart home services comprehend Chinese consumers, and provide theoretical basis and data analysis support for them to open the Chinese market and formulate precise marketing strategies.
A Study on the Re-setting of Intangible Assets under Corporate Accounting and Tax Law: Focusing on comparison with major foreign countries
Authors:   Asia-Europe Perspective Association, Shim Chung-Jin , Kim Jin-Tae , Kwon Hai-Sook
Published: December 2024

The era of the Fourth Industrial Revolution has a relatively large impact on corporate value of intangible assets over tangible assets. As a result, domestic and foreign companies are focusing on investing in intangible assets rather than on tangible assets.
Despite the increased importance of such intangible assets, the current accounting standards in Korea and the Individual Tax Act provide differently for the scope of intangible assets. The scope of these intangible assets is relatively narrow compared to the guidelines of major foreign countries and the OECD. This reduces the convergence of domestic intangible asset ranges and the international comparability. In addition, inconsistencies in terms related to intangible assets are increasing taxpayers’ tax cooperation costs and also creating problems that are less comprehensible to stakeholders.
Thus, this study identifies the scope of intangible assets under tax law and presents problems and improvements to the scope of intangible assets in major foreign countries by comparing them.
Problems with the scope of domestic intangible assets include: First, there is a lack of convergence between accounting standards and tax laws by defining different ranges of intangible assets between domestic accounting standards and individual tax laws. Second, the scope of intangible assets in Korea is relatively small as the scope of which can be recognized as intangible assets is narrow compared to the guidelines of major foreign countries and OECD. Third, the inconsistency in terms reduces stakeholders’ understanding of intangible assets. Fourth, taxpayers’ tax cooperation costs are increasing.
To improve the problem with the scope of such intangible assets, the study presented the following improvements to the scope of such intangible assets: First, by unifying the scope of intangible assets in accounting standards and tax laws, convergence between domestic accounting standards and individual tax laws should be enhanced. Second, the terms for intangible assets should be unified. Third, a prior consultation system should be in place to adjust the difference in recognition of intangible assets between taxpayers and tax authorities. Fourth, it is necessary to include the scope of intangible assets under the Corporate Tax Act in order to expand the scope of intangible assets.
This would increase the convergence and comparability between domestic and foreign regulations for the scope of intangible assets. It is also expected that unnecessary lawsuits between taxpayers and tax authorities will be reduced. The unification of the terms for intangible assets would increase the understanding of the intangible assets held by the entity, which would result in the value of the intangible assets held by the entity being properly assessed in the capital market.
The effect of external and internal corporate social responsibility on organizational performance in Korean social enterprises
Authors:   Asia-Europe Perspective Association, Jeon Hyewon , Ahn Ji-Young
Published: December 2024

This study investigates the impact of Corporate Social Responsibility (CSR) activities of a social enterprise on organizational economic and social performance in Korea. CSR initiatives are divided into external CSR and internal CSR where external CSR refers to activities focusing on responsible activities for local communities, natural environments, and customers, and internal CSR activities are activities that employees pursue growth and learning by focusing on building their own human resources. It is worth noting that many publicly traded company in Korea attempt to pursue a competitive advantage through CSR actions and strategically utilize it for organizational success but studies so far show that the impact of CSR activities on organizational performance is mixed at best. These inconsistent effects partially suggest that organizations differ in their ability to strategically utilize CSR activities. Thus, this study adopted and analyzed a microscopic perspective that divides CSR activities into external CSR and internal CSR and examine its link to organizational performance.
The purpose of this study is three-fold. We first examine the effect of CSR on organizational performance whether the economic and social performance of social enterprises that engage in external CSR activities are different from those of organizations that do not engage in external CSR activities. Secondly, we investigate the impact of the degree of internal CSR activities on the economic and social performance of the organization. Third, we further explore the possibility of positive synergistic interaction between external CSR activities and internal CSR on organizational performance of social enterprises.
The sample of the study were 196 social enterprises selected for participating social progress credit(SPC) program. This study used survey data accumulated for companies selected by the CSES and analyzed based on responses to surveys conducted in 2019 and performance data in 2020. The 2019 survey consists of the same questionnaire as the social value questionnaire conducted on social enterprises certified by the Ministry of Employment and Labor. The survey was conducted by social enterprises selected by the SPC. In general, social enterprises are pre-selected by SPC program based on social performance last year and incentives are paid in February in the following year. Therefore, since the survey conducted between March and April 2019 corresponds to the results of 2019, the economic performance data for 2020 of participating companies were used to measure economic and social performance.
Monetary Policy Effectiveness in China: Evidence from a Structural VAR Model
Authors:   Asia-Europe Perspective Association, Li Hao , Lee Ki-Seong
Published: December 2024

This study aims to analyze the effectiveness of monetary policy. It is important to study the influence channel of monetary policies on the real economy. Based on the structural VAR model, this study uses the monthly data from the Chinese financial sector and actual macroeconomic variables from January 2001 to December 2020 to analyze the influence channel of monetary policy and its impact on the real economy in order to find out about the effectiveness of monetary policy. Focusing on before and after the global financial crisis, this study elaborates on the transmission effects of monetary policy before and after the global financial crisis. The results are as follows.
In terms of the impact of rising interest rates, before and after the global financial crisis, industrial production continued to be negatively affected for a long time and consumer prices continued to increase during this period leading to price difficulties. In addition, the money supply and the RMB exchange rate decreased. Due to the shock of rising interest rates, stock indexes have fallen as predicted according to the economic theories.
Moreover, because of the shock of rising interest rate, higher money supply, industrial production situation was unexpected before and after the global financial crisis, which led to a positive effect on consumer prices in the short-term. The change of RMB exchange rate was not obvious statistically, but there was a negative effect. During this period, stock indexes was the opposite of expectation.
The impact of some macroeconomic variables on monetary policy can be seen as different from predictions based on economic theories and it doesn’t have much statistical significance, indicating the lack of effectiveness and transmission effect of monetary policy.
The influence channel and effects of monetary policies are similar to the black box. Inevitably there will be changes in the financial markets and the real economy according to the specific conditions. It also means the influence channel and effects of monetary policy don’t play a vital role. It takes a long time for monetary policies to affect the real economy. Therefore, to maximize the effect of monetary policies, it is essential to determine the current economic situation and implement the policies. Furthermore, it is vital to actively improve the financial market system. Hence, it will be possible to enhance the efficiency of financial resource allocation and enable the financial market to do its roles in structural adjustment and risk prevention.