bluuebunny/crossref_metadata_2025_split huggingface dataset:
ANALISIS PENGARUH ELECTRONIC WORD OF MOUTH PADA MEDIA SOSIAL TIKTOK TERHADAP CITRA MEREK DAN MINAT BELI PELANGGAN PADA SITUS ONLINE SHOPEE
Authors: Komaling Firginia Stevani , Taliwongso Indrajit 
Published: July 2023

This study aims to analyze the effect of electronic word of mouth on Tiktok social media on brand image and customer buying interest on the Shopee online site. The population used in this study are Tiktok social media users who live in Bitung city. The sample in this study was 112 respondents, who were determined using the purposive sampling method. The research method uses a causal descriptive research method with a quantitative approach. The results of descriptive statistics show that in the e-WOM variable, the online review indicator gets the highest average value. The idea and content detail indicators get the highest average value for the Brand Image variable. Moreover, for the Purchase Interest variable, the interest and uniqueness indicators get the highest average value. The results of the study using the t-test showed that e-WOM partially affected Brand Image, e-WOM had no effect on buying interest, and Brand Image partially influenced Buying interest. The results of the f-test show that the e-WOM variable and the Brand Image variable simultaneously significantly affect Purchase Interest. And the results of the Sobel test show that brand image is able to mediate the relationship between the e-WOM variable and the buying interest variable.
Keywords: brand image, buying interest, e-WOM, Shopee, Tiktok.
Penelitan ini bertujuan untuk menganalisis pengaruh dari electronic word of mouth (e-WOM) pada media sosial Tiktok terhadap citra merek dan minat beli pelanggan pada situs online Shopee. Populasi yang digunakan pada penelitian ini adalah pengguna media sosial Tiktok yang berdomisili di kota Bitung. Sampel pada penelitian ini sebanyak 112 responden yang ditentukan menggunakan metode purposive sampling. Metode penelitian menggunakan metode penelitian deskriptif kausal dengan pendekatan kuantitatif. Hasil statistik deskriptif menunjukan dalam variabel e-WOM, indikator ulasan online mendapatkan nilai rata-rata tertinggi. Untuk variabel citra merek, indikator ide dan detail konten mendapatkan nilai rata-rata tertinggi. Dan untuk variabel minat beli, indikator ketertarikan dan keunikan mendapatkan niali rata-rata tertinggi. Hasil penelitian dengan menggunakan uji t menunjukan e-WOM secara parsial berpengaruh terhadap citra merek, e-WOM tidak berpengaruh terhadap minat beli, citra merek secara parsial berpengaruh terhadap Minat Beli. Hasil uji f menunjukan, secara simultan variabel e-WOM dan variabel citra merek berpengaruh signifikan terhadap minat beli. Dan hasil Sobel test menunjukan citra merek mampu memediasi hubungan antara variabel e-WOM dan variabel minat beli.
Kata kunci: citra merek, e-WOM, minat beli, Shopee, Tiktok
Moving Learning: A Systematic Review of Mobile Learning Applications for Online Higher Education
Authors: Lazaro Gizeh Rangel-de , Duart Josep M. 
Published: July 2023

Abstract
Technological revolutionary changes have boosted mobile learning’s evolution from supplementary material for teaching to a flexible, strategic, and convenient resource, driving new paths in higher education. With global increases in wireless internet access and the advent of highly functional smartphones and tablets, which have impacted the rise in mobile device ownership, mobile learning has expanded its applications as a direct way to implement tailored learning settings. Notably, during the COVID-19 pandemic, together with other educational technologies, it became a solicited tool in remote education. In this systematic review, we will explore how educators and researchers have been documenting the development and impact of mobile learning tools in the teaching and learning process since the COVID-19 outbreak. Results show that, embedded with online higher education programs, mobile learning has empowered interaction in content creation, communication, and collaboration between learners and instructors, significantly impacting learning effectiveness. Moreover, although this technology is well established in higher education, it remains attractive for educators who actively use it because of its pedagogic potential.
Exploring Student Teacher Perceptions on the Benefits of the Teaching Practicum
Authors: García-Noblejas Belén Poveda , Barceló-Cerdá María-Luisa , Rodríguez-Gómez Inmaculada , López-Gómez Ernesto 
Published: July 2023

Abstract
This article examines student teacher perceptions regarding the benefits of the teacher education practicum. For this purpose, a cross-sectional study was performed using a questionnaire. Participants consisted of 455 students from the Early Childhood and Primary Education Degrees studying at a university in the Madrid community. The questionnaire was administered between the academic years of 2017/2018 and 2021/2022 (2019/2020 was excluded due to the pandemic), at the end of each practicum period of the 2
nd
, 3
rd
, and 4
th
year courses of the distinct teaching student cohorts. Results were analyzed based on a quantitative perspective, revealing relevant benefit and utility profiles, confirming that the variable that most modulates student perception is the Practicum period (finding lower scores for the intermediate practicum), followed by the gender variable, and finally, the Degree variable, which has the most stable results. These findings are discussed, highlighting certain proposals to improve teaching practicum programs, and to encourage a better knowledge of the teaching practicum in terms of its benefits and usefulness, considering the teacher candidate perspective.
Empowering Critical Thinking: The Role of Digital Tools in Citizen Participation
Authors: Gonzalez-Mohino Miguel , Rodriguez-Domenech M. Ángeles , Callejas-Albiñana Ana Isabel , Castillo-Canalejo Ana 
Published: July 2023

Abstract
The widespread use of digital technologies and the expansion of social networks has created new communication and meeting spaces where people and social and political actors connect with each other. This opens diverse spaces and possibilities for digital engagement in a more accessible, immediate, continuous, egalitarian, and personalized way. Digital technology facilitates learning, dissemination, and access to information, turning it into a means of communication and fueling the practice of critical thinking. In particular civic critical thinking practices improve the organization and effectiveness of civic networks and spaces for citizen participation, ultimately helping to produce responsible, conscious citizens. This study proposes a series of hypotheses based on the relationships between digital learning, critical thinking and civic participation, and tests them using the technique of structural equation modeling (SEM) with partial least squares (PLS) applied to a sample of 191 primary and secondary school students. The results indicate that digital tools have a positive impact on the development of critical thinking, and this influences citizen participation, transforming people into more engaged citizens of the world with participatory attitudes and values.
Use of ChatGPT at University as a Tool for Complex Thinking: Students’ Perceived Usefulness
Authors: Romero-Rodríguez José-María , Ramírez-Montoya María-Soledad , Buenestado-Fernández Mariana , Lara-Lara Fernando 
Published: July 2023

Abstract
Artificial intelligence (AI) and AI-based chatbots, such as ChatGPT, are transforming the approach to education. In particular, ChatGPT’s potential to process large amounts of data and learn from user interactions makes it a beneficial resource for students, albeit with some reluctance from some teachers. This study aimed to explore the acceptance of ChatGPT by university students. The researchers administered an online survey to 400 Spanish university students aged 18–64 (M = 21.80; SD = 6.40). The results of the methodological approach based on the UTAUT2 model for technology adoption showed that: 1) gender was not a determining variable in any construct while the experience of use was a factor conditioning a higher score on all constructs; 2) experience, performance expectancy, hedonic motivation, price value, and habit were influential in behavioral intention to use ChatGPT; 3) facilitating conditions, habit, and behavioral intention were conditioning factors in user behavior. Finally, this report discusses the findings and practical implications of the work and recommends some good uses for ChatGPT.
Influence of Age, Gender and Years of Experience on Teachers in Promoting Strategies for Digital Sustainability and Data Protection
Authors: Vázquez-Cano Esteban , Sáez-López José Manuel , Grimaldo-Santamaría Rolando-Óscar , Quicios-García María del Pilar 
Published: July 2023

Abstract
The aim of this research was to know how widespread the activities were, and to what extent they were being implemented, in relation to data protection and digital sustainability in Primary Education schools. This study also analyzed whether teachers’ age, gender and years of experience in the profession influenced the development of this type of practices among students. To this end, the GAUBIPRO (4150516/6) questionnaire, registered at the Spanish Patent and Trademark Office, was sent out to 308 Spanish teachers in Primary Education in Spain. The investigation was conducted by applying three multivariate statistical procedures: chi-squared with Kendall’s Tau-c coefficient, variance analysis using a single-factor ANOVA, and the HJ-Plot method, to find patterns of group behavior among the variables studied. The results showed that age, gender and years of experience were significant variables in the development of strategies for data protection and digital sustainability in Primary Education. For years of experience, the results showed that teachers with the highest mean number of years in the teaching profession were the least likely to apply data protection protocols. Male teachers were found to promote more general data protection strategies, while female teachers were more active in the design and use of activities in the classroom. In terms of age, the results clearly demonstrated that the higher the mean age of the teachers, the lower the rate of application of actions to promote data protection and digital security among young students, in three variables in particular: “foster strategies”, “advise students” and “inform families”.
Actual Crop Evapotranspiration Estimation of Wheat Crop Using SEBAL Algorithm and Remotely Sensed Data
Authors: Dhruw Manju , Pandey V. K. , Verma Shruti 
Published: July 2023

Estimation of evapotranspiration is imperative for effective forest, irrigation and water resources management as well as to increase yields and for better crop management. This study aims to evaluate the effectiveness of the Surface Energy Balance Algorithm for Land (SEBAL) in estimating actual evapotranspiration for 15 years of wheat crop in the 2A distributary of Mahanadi canal Command which is situated in Dhamtari district of Chhattisgarh state of India. The Landsat 7 and 8 satellite images from February – March (2007 -2021) were used to acquire the coefficients of the respective bands. To validate the outcomes from the SEBAL algorithm, FAO Penman-Monteith methods were employed to calculate the evapotranspiration values and evaluated using suitable performance metrics. The evaluation using SEBAL, along with the FAO-Penman–Monteith method, showed that SEBAL has a sufficient accuracy for estimating ET. The results showed that the SEBAL generated evapotranspiration values are in high agreement with the FAO Penman-Monteith method registering the highest correlation value (R2 = 0.826) and the corresponding Root Mean Square Error was (RSME =0.4386), Normalized Root Mean Square, (NRMSE= 0.386), Mean Absolute Error (MAE=1.17) and Nash Sutcliffe Efficiency( ENS = 0.843) for wheat crop. In 2010 maximum ETc and in 2021 minimum ETc of wheat crop in the study area. The outcomes show that since the performance of the SEBAL algorithm in estimating the actual evapotranspiration using Landsat 7 and 8 satellite images is acceptable, the SEBAL algorithm could be a very convenient method. Moreover, it could easily be assimilated into farming management systems and precision agriculture for better decision-making and higher yield.
Penetrating Stab Wounds of the Spine: Two Cases and Review of the Literature
Authors: Joseph Fondop , Faustin Atemkem Tsatedem , Douglas Banga Nkono , Dikongue F. Dikongue , Boris Amougou , Djam A. C. , Arlette Dogmo , Paul Djientcheu Vincent de , Stéphane Fuentes 
Published: July 2023

Penetrating wounds of the spine caused by edged weapons are on the increase due to the growing insecurity, violence, availability and accessibility of these weapons, which are generally objects of everyday use (knife, axe, machete, screwdriver, bicycle spoke, scissors, garden fork, sickle and sharpened broom handle, etc.). These objects may be the cause of penetrating wounds responsible for neurological deficits with breaches of the dura mater, or they may be without neurological deficits due to the level of the weapon in the spine. We present two clinical cases of patients with penetrating knife wounds of the spine. One at cervical level with pneumorrhagic emphysema, spinal cord compression and pneunemoencephaly, with neurological deficit who had a surgical intervention followed by physiotherapy and a progressive recovery, the other with a penetrating wound at L5 crossing the blade to the vertebral body without neurological deficit in whom the knife was extracted at the emergency department without secondary deficit.
Penetrating wounds of the spine are caused by stab wounds, including knives. In particular, emphysema, diffuse pneumorrhagia and pneumoencephalus are extremely rare in the same patient, this being due to the knife extraction technique. These lesions, associated with neurological deficit and cerebrospinal fluid (CSF) leakage, constitute a neurosurgical emergency.
Growth Rate of Area Production and Productivity of Litchi Fruit in Jashpur District of Chhattisgarh, India
Authors: Chandrakala  , Pathak Hulas , Chandrakar M. R. , Choudhary V. K. , Singh Shubhi , Thakur Shubham Kumar , Langangmeilu Golmei 
Published: July 2023

Present study was done to analyse the growth rate of litchi production in Jashpur district of Chhattisgarh. with specific objectives of determining trend in area, production and productivity of litchi. India is the second largest producer of litchi in the world after China. Presently in India, litchi is cultivated in an area about 99170 hectares with total production of 737200 metric tons and productivity of 7.43 metric tons / hectare. Chhattisgarh produces nearly cultivated in an area about 8474 hectares with a total production of 58907 metric tons and productivity of 1.94 metric tons / hectare. It is mainly cultivated in the old district of Surguja, Jashpur, Balrampur and Surajpur. The study revealeds that the growth rates in area, production and productivity was negative and found to be -0.02 %, -0.04 % and -0.02 % respectively in India while, in Chhatisgarh it was recorded -0.05%, -0.05%, and -0.003% In Jaspur district, it was noted to be -0.06%, -0.04%, and 0.01% respectively.
Urgency Index and Preoperative Index: Prediction of Anastomotic Leakage in Patients Operated For Colorectal Cancer Treatment
Authors: Dias Vinícius Evangelista , Padilha Homero Terra , Pilar Lara Vicente , Gomes Nathália Augusta , Soares Aleida Nazareth , Silva Thais Almeida Marques da 
Published: July 2023

Background: Several tools are available for predicting the risk of anastomotic leakage (AL) in patients undergoing colectomy for colorectal cancer (CRC) treatment. However, these prognostic indexes have limitations in applicability and efficiency.
Aim: Developing validated, efficient and easily applicable tools to help physicians predict the risk of AL.
Methods: From a meta-analysis and a retrospective cohort, risk factors associated with the development of AL were used to construct and validate two new indexes (Urgency Index and Preoperative Index) to predict AL risk. Sensitivity, specificity, ROC curve, accuracy, and positive and negative predictive value were calculated.
Results: The Urgency Index indicated four variables for AL risk prediction and showed sensitivity of 81.24%, specificity of 75.8%, AUC of 0.841 (95% CI: 0.742-0.939), and accuracy of 76.24%. The Preoperative Index revealed 13 variables and showed 86.56% specificity, 50% sensitivity, 0.699 area under the ROC curve, 83.66% accuracy, 24.24% positive predictive value, and 95.27% negative predictive value.
Conclusion: The two new indexes created for AL risk prediction in patients operated for CRC treatment present good results of specificity, accuracy and reasonable AUC values, and could be used in clinical practice.
Does ABO Blood Type Implicate Susceptibility to Respiratory Abnormalities? A Controlled Cross-sectional Study among Indigenous University Students in Rivers State, Nigeria
Authors: Asiwe Jerome Ndudi , Umoren Elizabeth Bassey , Kolawole Tolunigba Abisola , Etim Kingsley Bassey , Agbeluyi Adedolapo Adeola , Asiwe Nicholas , Igbokwe Vincent 
Published: July 2023

Background: The blood typing is a genetically defined immune system characteristic that has a well-known role in transplantation and chemotherapy. However, it is unclear what role it could serve in diagnosing or predicting respiratory pathologies. The study aims at investigating the prevalence of respiratory disorder among ABO blood type. This study investigated the prevalence of respiratory disorder among ABO blood types.
Methods: Using a quantitative survey research design, this cross-sectional study comprises of 102 young University students (64 females and 36 males) within the age of 17-28 years, extracted from different local Government Area in Rivers State. A semi-structured questionnaire was used to gather the social demograpgic characteristics of respondent’s. Anthropometric investigations and respiratory function test was done.
Results: The prevalent blood types A, B, O, and AB was 19.6%, 16.7%, 56.9%, and 6.9% respectively. BMI showed that 2.9%, 39.2%, 38.2% and 19.6% was underweight, normal weight, overweight and obese respectively. Respiratory problems were distributed unevenly among blood types, with risk of obstructive pulmonary dysfunction having the highest frequency of occurrence.
Conclusion: The susceptibility to respiratory abnormalities is not associated with any blood type, the risk of obstructive pulmonary disease is higher in blood type O, which is largely influenced by the predominancy.
AI‐Enabled Metal‐Polymer Plain Bearing Based on the Triboelectric Principle
Authors: Gao Mang , Sun Tongda , Li Yahui , Zhang Zixuan , Lee Chengkuo , Choi Junho 
Published: July 2023

AbstractWith the rapid development of the Internet of Things and artificial intelligence (AI), the requirement for sensing technologies for smart bearings has increased dramatically. The general bearing sensors can only recognize the basic information from temperature or vibration, far from satisfying the self‐diagnosis and self‐maintenance. Recently, self‐powered sensing technologies based on triboelectric nanogenerators have paved a new route for fabricating smart bearings. In this study, the triboelectric principle is applied to a commercial metal‐polymer plain bearing (MPPB) bearing, which can achieve self‐sensing, self‐diagnosis, and self‐maintenance. The geometrical structure of the triboelectric MPPB (T‐MPPB) is designed to balance the output efficiency and external load, and the super durability and load capability are verified. Besides, the mechanism behind the output change trend under boundary and hydrostatic fluid lubrication is revealed for the first time. Furthermore, the deep learning algorithm can classify the lubrication states with highly accurate performance. The proposed T‐MPPB has the potential to achieve self‐maintenance with the lubricating pump according to the lubrication condition classified by the AI. This research not only establishes the feasibility of designing self‐powered smart MPPB but also demonstrates a way for identifying lubrication states, thus achieving self‐diagnosis and self‐maintenance ability by self‐powered sensors.
High‐Efficiency Organic Solar Cells Enabled by Non‐Fullerene Acceptors with Benzimidazole as the Central Core
Authors: Wang Jing , Zhu Junwei , Li Chenxi , Lin Yi , Yang Yang , Ma Zaifei , Lu Yan 
Published: July 2023

AbstractElectron‐deficient central core plays a crucial role in the construction of efficient Y‐series non‐fullerene acceptors (NFAs). Here, fused‐ring benzimidazole (BIm) served as a central core for the first time to yield a new NFA named MZ‐1 and its structural analogue named MZ‐2, which is obtained by replacing the methyl group on the 2C position of BIm in MZ‐1 with trifluoromethyl group. Compared with MZ‐1, MZ‐2 shows obviously blue‐shifted absorption and lowers the highest occupied molecular orbital (HOMO) energy level that is more matched to that of polymer donor PM6. Benefiting from the more efficient charge transport and favorable microphase separation morphology of the active layer, the acceptor MZ‐2‐based device affords an excellent power conversion efficiency (PCE) of 17.31% along with a high open‐circuit voltage (Voc) of 0.903 V, a short‐circuit current density (Jsc) of 26.32 mA cm−2 and a fill factor (FF) of 72.83%, which is remarkably superior to that of MZ‐1‐based devices with PCE of 10.70%. This study offers valuable insight into the design of acceptors to enrich Y series NFAs for high‐performance organic solar cells (OSCs).
A Mechanically Robust, Self‐Healing, and Adhesive Biomimetic Camouflage Ionic Conductor for Aquatic Environments
Authors: Gong Yue , Yu Li , Lyu Xiaolin , Zheng Shixiang , Yu Yan , Zhou Piaopiao , Luo Zhong‐Zhen , Zou Zhigang 
Published: July 2023

AbstractFlexible conductive materials capable of simulating transparent ocean organisms have garnered interest in underwater motion monitoring and covert communication applications. However, the creation of underwater flexible conductors that possess mechanical robustness, adhesion, and self‐healing properties remains a challenge. Herein, hydrophobic interaction is combined with electrostatic interaction to obtain a solvent‐free transparent poly(ionic liquid) elastomer (PILE) fabricated using soft acrylate monomers and acrylate ionic liquids. The synergy of hydrophobic and electrostatic interactions can eliminate the hydration of water molecules underwater, giving the PILE adjustable fracture strength, good elasticity, high stretchability, high toughness, fatigue resistance, underwater self‐healing ability, underwater adhesion, and ionic conductivity. As a result, the transparent iontronic sensor generated from the PILE can achieve multifunctional sensing and human motion detection with high sensitivity and stability. In particular, the sensor can also transmit information underwater through stretching, pressing, and non‐contact modes, demonstrating its huge potential in underwater flexible iontronic devices.