bluuebunny/crossref_metadata_2025 huggingface dataset:
Dry eye: A hospital-based sociodemographic, risk and clinical classification profile
Authors: Mdlalose Phindile P. , Moodley Vanessa R.
Published: February 2025

Background: Dry eye, a multifactorial disease of the tears and ocular surface, is considered a significantly growing public health problem worldwide.Aim: This study aimed to determine the prevalence and risk factors of dry eye disease (DED) in a population attending an eye hospital in KwaZulu-Natal, South Africa.Setting: The study was conducted at McCord Provincial Eye Hospital in Durban, KwaZulu-Natal, South Africa.Methods: A cross-sectional hospital-based study was conducted between July 2023 and August 2023. Diagnosis was confirmed with a SPEED score of ≥ 4 and a monocular tear break up time (TBUT) ≤ 10 s or Schirmer 2 ≤ 15 mm/5 min. Data were managed using Statistical Package for Social Sciences (SPSS) software version 28.Results: The overall prevalence of DED was 82.3% and highest in those 65 years of age (odds ratios [OR] = 3.17; 95% confidence intervals [CI]: 1.45–6.94; p = 0.04). Risk factors significantly associated with DED were age (p  0.009), systemic diseases (diabetes [p  0.01], HIV [p  0.02], hypertension [p  0.02] and medication [p  0.01]).Conclusion: The study revealed a high DED prevalence, which increased with age. Diabetes, hypertension and HIV were identified as significant risk factors for DED. Routine tear function evaluation should be an integral part of the assessment protocols of these highly susceptible patients. Furthermore, public health education in DED is essential to help reduce prevalence through the promotion of behaviour modifications.Contribution: This study provides knowledge regarding the prevalence and risk factors of DED in KwaZulu-Natal, South Africa.
Leadership training, design thinking and the ethics of care: Comments on Cornel du Toit
Authors: Du Plessis Gretchen E.
Published: February 2025

This review article juxtaposes the principles of ‘design thinking’ and more specifically of human-centred, caring design thinking, with the kind of leadership (between idol and role model), which can achieve the goals of designing products and services that also serve the highest ethical standards for human thriving. The article takes its inspiration from the work of Cornel du Toit, in particular three key ideas from his vast oeuvre. These ideas were, firstly, Du Toit’s careful analysis of what technology-with-a-human-face means, secondly his writings about human consciousness as open, emergent and dynamic, and finally, the key role that relationality can play in leadership training for a more hopeful future.Intradisciplinary and/or interdisciplinary implications: In this article, these three ideas are reflected on and linked to suggestions for role-model leadership training as part of design thinking education at the tertiary level.
The Trend of Japanese Encephalitis in Uttar Pradesh, India
Authors: Verma Anuragani , Radera Shruti , Jain Amita , Prakash Om , Verma Anil Kumar
Published: February 2025

Objective:

Japanese encephalitis (JE) is one of the most important causes of viral encephalitis in Uttar Pradesh (UP). Over 5 years (2018–2022), this study aims to find out the seropositivity for JEV in cases presenting as AES.

Materials and Methods:

Over 5 years, 8131 cerebrospinal fluid and 504 serum samples were tested for anti-JEV Immunoglobulin M (IgM) antibodies by IgM antibody capture (MAC) enzyme-linked immunosorbent assay (ELISA) according to the manufacturer’s instructions (MAC ELISA kit developed by the National Institute of Virology, Pune, India.

Results:

A total of 526 cases (6.09%) tested positive for anti-JEV IgM antibodies during the study periods. The number of JEV positives was high in 2018 (11.25%) but decreased gradually over the next 5 years (2019 (5.71%), 2020 (5.22%), 2021 (4.36%), and 2022 (2.91%). JE positivity is declining over time in UP, India. There is an age shift from children to adults. Men are more often affected than women.

Conclusion:

Further JE-centric studies with an emphasis on immunization are required to determine the influence of vaccination on the incidence of Japanese encephalitis and the population shift among adults.
Statins: Is it New Weaponry against Endometriosis?
Authors: Salam Sharmin , Deeba Farzana , Banu Jesmin , Ishrat Shakeela , Saha Chandana , Sinha Susmita , Patel Pratiksha , Haque Mainul
Published: February 2025

Introduction:

Endometriosis is a prevalent female illness linked to infertility and pelvic pain. In vitro studies suggest that statins reduce endometrial stroma growth and hinder angiogenesis.

Objectives:

The objectives of this study were to assess if dienogest (DNZ) + atorvastatin (ATV) is more effective than DNZ alone in women with symptomatic endometrioma.

Materials and Methods:

This prospective comparative study was done in the Department of Reproductive Endocrinology and Infertility, Bangabandhu Sheikh Mujib Medical University, Shahbag, Dhaka, Bangladesh. Women with symptomatic endometrioma were enrolled in the study and were divided into the treatment arm of ATV plus DNZ and the control arm of DNZ alone. To examine the association between Group A (DNZ plus Statin) and Group B (DNZ) regarding the statistical model, a multilevel mixed-effects regression analysis was conducted to evaluate the relationship between the primary exposures, additional independent factors and outcomes such as endometrioma size and pain level.

Results:

Participants of Group A experienced infertility for more than 3 years than Group B, which was found statistically significant (P < 0.001). Again, a mixed-level regression analysis was conducted to assess the association between the primary exposure showed that post-intervention, endometrioma size decreased by 0.81 units (95% confidence interval [CI]: −1.10, −0.52, P < 0.001) and pain levels decreased by 3.81 units (95% CI: −4.31, −3.30, P < 0.001). Interestingly, pain levels were 1.64 units higher in the obese group (95% CI: 0.36, 2.92, P = 0.012). Amongst the participants reporting menstrual problems, endometrioma size was reduced by 0.92 units (95% CI: −1.32, −0.52, P < 0.001).

Conclusion:

The findings revealed that both treatment regimens efficiently lowered the size of endometriomas and relieved discomfort in the study subjects.
Analysis of resurgeries following primary glaucoma surgical intervention in a tertiary care center
Authors: Sharmila Rajendrababu , Siddharth Kumar , Daniel Raji K , Mani Iswarya , Krishnadas SR
Published: February 2025

Purpose:

To analyze the demographic characteristics, causes, risk factors, and outcomes of resurgeries following primary glaucoma surgery.

Methods:

This retrospective observational study analyzed medical records of patients who underwent resurgeries following primary glaucoma surgeries conducted from January 1, 2018, to December 31, 2020. The investigation included an assessment of preoperative risk factors, reasons prompting resurgery (such as complications or failure), types of interventions, and their respective outcomes.

Results:

Out of 1147 eyes subjected to primary surgeries, 30 eyes (2.6%) necessitated resurgery within the first year, at a mean interval of 4.2 ± 3.4 months. The resurgery rate for trabeculectomy was 3.3% (13/389), 1.5% (9/592) for phaco-trabeculectomy, and 4.8% (8/166) for tube surgeries. Multivariate analysis identified male gender and higher preoperative intraocular pressure (IOP) as significant risk factors. Uveitic glaucoma (12.1%), traumatic glaucoma (11.1%), and eyes with prior vitreoretinal surgeries (8.5%) exhibited the highest resurgery rates. Early postoperative resurgeries (1–3 months) were predominantly due to surgical complications, while late resurgeries (>3 months) were attributed to primary surgery failure. Resurgeries following trabeculectomy were primarily driven by surgical failure (61.5%), while complications played a major role in phaco-trabeculectomy (66.6%) and tube surgeries (87.5%).

Conclusion:

We observed an overall resurgery rate of 2.6%, with higher resurgery rates in tube surgeries compared to filtering surgeries. Reasons for resurgery in the early period were complications and those that occurred late were due to surgical failure. Male gender and elevated preoperative IOP were significant risk factors for resurgery.
Cost-effectiveness of intracranial pressure monitoring in severe traumatic brain injury in Southern Thailand
Authors: Jitchanvichai Jidapa , Tunthanathip Thara
Published: February 2025

Background: Traumatic brain injury (TBI) is a leading cause of fatalities and disabilities in the public health domain, particularly in Thailand. Guidelines for TBI patients advise intracranial pressure monitoring (ICPm) for intensive care. However, information about the cost-effectiveness (CE) of ICPm in cases of severe TBI is lacking. This study assessed the CE of ICPm in severe TBI.Methods: This was a retrospective cohort economic evaluation study from the perspective of the healthcare system. Direct costs were sourced from electronic medical records, and quality-adjusted life years (QALY) for each individual were computed using multiple linear regression with standardization. Incremental costs, incremental QALY, and the incremental CE ratio (ICER) were estimated, and the bootstrap method with 1,000 iterations was used in uncertainty analysis.Results: The analysis included 821 individuals, with 4.1% undergoing intraparenchymal ICPm. The average cost of hospitalization was United States dollar ($)8,697.13 (±6,271.26) in both groups. The incremental cost and incremental QALY of the ICPm group compared with the non-ICPm group were $3,322.88 and –0.070, with the base-case ICER of $–47,504.08 per additional QALY. Results demonstrated that 0.007% of bootstrapped ICERs were below the willingness-to-pay (WTP) threshold of Thailand.Conclusions: ICPm for severe TBI was not cost-effective compared with the WTP threshold of Thailand. Resource allocation for TBI prognosis requires further development of cost-effective treatment guidelines.
Multi-Stage Registration and Feature Based Robust and Precise LiDAR
SLAM
Authors: Li Zhichao , Tong Panpan , Shi Weigang , Bi Xin
Published: February 2025

In a complex and ever-changing environment, achieving stable and precise SLAM
(Simultaneous Localization and Mapping) presents a significant challenge. The
existing SLAM algorithms often exhibit limitations in design that restrict their
performance to specific scenarios; they are prone to failure under conditions of
perceptual degradation. SLAM systems should maintain high robustness and
accurate state estimation across various environments while minimizing the
impact of noise, measurement errors, and external disturbances. This paper
proposes a three-stage method for registering LiDAR point cloud. First, the
multi-sensor factor graph is combined with historical pose and IMU
pre-integration to provide a priori pose estimation; then a new method for
extracting planar features is used to describe and filter the local features of
the point cloud. Second, the normal distribution transform (NDT) algorithm is
used as coarse registration. Third, the feature to feature registration is used
for fine registration to achieve iterative optimization of pose. This method
also publishes high-frame-rate real-time pose data through IMU, achieving the
simultaneous improvement of registration convergence speed, robustness,
precision and real-time performance. In addition, this method is suitable for a
variety of application scenarios of mechanical and solid-state LiDARs. In terms
of experimental verification, this paper uses M2DGR dataset and outdoor testing
to verify the precision of the algorithm. The ablation experiments of coarse
registration and fine registration are carried out respectively to illustrate
the importance of different stages. The results show that the multi-stage
registration method is beneficial to improve the precision and robustness of the
algorithm.
Application of Key Node Identification Based on Revised Penalized
Local Structural Entropy in Traffic Flow Prediction
Authors: Shu Xin , Ran Bin
Published: February 2025

In intelligent transportation systems (ITS), traffic flow prediction is a
necessary tool for effective traffic management. By identifying and extracting
key nodes in the network, it is possible to achieve efficient traffic flow
prediction of the whole network using “partial” nodes, as the key nodes contain
essential information about changes in the state of the traffic network. This
paper proposes a key node identification method based on revised penalty local
structure entropy (RPLE) for specific traffic networks. This method takes into
account the influence of node distance and traffic flow on identifying important
nodes within the traffic network. By introducing a modified penalty term and a
comprehensive weight, it achieves a certain level of accuracy in traffic flow
prediction using data from key nodes in the network. We compared the RPLE method
with different key node identification methods and combined it with different
prediction models to compare the traffic flow prediction performance under key
node coverage rates of 50% to 100%. Experimental results on the PeMS04 dataset
show that using the RPLE method to screen out the top 60% of key nodes, the
importance of these nodes accounts for over 80% of the overall importance. As
the coverage rate of key nodes increases, compared with other important node
identification methods, the key nodes selected using RPLE have consistently
shown the best prediction performance, with a maximum reduction of 14.93% in MAE
and 8.33% in MAPE. Moreover, when the coverage rate of key nodes reaches 75%,
the prediction accuracy of traffic flow has already reached 80%. Therefore, it
is possible to consider using “partial” key nodes for predicting the overall
traffic flow of the whole traffic network.
Research on NOx Emission Prediction Model for Delivery Trucks Based
on Machine Learning and Its Application in Smart Transportation
Authors: Lin Yingxin , Li Tiezhu
Published: February 2025

With the rapid development of smart transport and green emission concepts,
accurate monitoring and management of vehicle emissions have become the key to
achieving low-carbon transport. This study focuses on NOx emissions from
transport trucks, which have a significant impact on the environment, and
establishes a predictive model for NOx emissions based on the random forest
model using actual operational data collected by the remote monitoring
platform.The results show that the NOx prediction using the random forest model
has excellent performance, with an average R2 of 0.928 and an average
MAE of 43.3, demonstrating high accuracy. According to China's National
Pollutant Emission Standard, NOx emissions greater than 500 ppm are defined as
high emissions. Based on this standard, this paper introduces logistic
regression, k-nearest neighbor, support vector machine and random forest model
to predict the accuracy of high-emission classification, and the random forest
model has the best performance on high-emission classification with an accuracy
of 93.7%, effectively identifying vehicles with excessive emissions. In order to
gain more insight into the key factors affecting NOx emissions, the study used
partial dependency diagrams to analyse the important variables. The results of
the study show that SCR outlet temperature, DPF exhaust temperature and urea
injection rate have a significant effect on NOx emissions. This study not only
provides a theoretical basis for the optimisation of the emission control
system, but also provides scientific support for the realisation of intelligent
and low-carbon traffic management policy making, which helps the green emission
management in the intelligent traffic system.
Study on the Effect of Molecular Sieve Types on the Explosion
Suppression Performance of Coal Dust during Transportation
Process
Authors: DongYe Shengjing , Zhang Yansong , Chen Jinshe , Yang Yang , Wang Fei , Han Jin
Published: February 2025

The Chinese demand for coal necessitates the transportation over long distances,
due to the disparity between its availability and the need. With the increase of
coal demand, the scale of railroad transportation is also gradually expanding,
which leads to the increasingly prominent problem of coal transportation safety.
Especially in the transportation process, coal dust explosion has become an
important safety hazard due to the accumulation of a large amount of coal dust
in some specific Spaces. Therefore, the study of coal dust explosion suppression
has become an urgent task at present. The solution to this problem is of great
significance to ensure the safety of coal transportation. In this study, the
explosion suppression of coal dust by four types of molecular sieves was
experimentally analyzed using the Hartmann flame propagation test equipment, and
the results showed that mesoporous molecular sieves were far superior to
microporous molecular sieves in suppressing explosions. The experimental data
show that the explosion suppression efficacy of both mesoporous molecular
sieves, MCM-41 and SBA-15, exceeds that of 13X and Hβ microporous molecular
sieves. Especially MCM-41, owing to the high efficiency of its pore structure
and large specific surface area, shows the best explosion inhibition performance
among all molecular sieves. At the same time, with the increase of molecular
sieve addition, velocity of propagation of flame of coal dust deflagration is
reduced, the flame brightness is blackened, and the flame travels a shorter
distance, so that the coal dust explosion can be effectively suppressed.
Port Node Importance and Risk Assessment in Shipping Networks Based
on An Improved PageRank Approach and Reliability Analysis
Authors: Li Ding , Cheng Cheng , Zhao Xingxi , Li Zengshuang
Published: February 2025

Since the rapid development of the shipping and port industries in the second
half of the twentieth century, the introduction of container technology has
transformed cargo management systems, while simultaneously increasing the
vulnerability of global shipping networks to natural disasters and international
conflicts. To address this challenge, the study leverages AIS data sourced from
the Vessel Traffic Data website to extract ship stop trajectories and construct
a shipping network. The constructed network exhibits small-world
characteristics, with most port nodes having low degree values, while a few
ports possess extremely high degree values. Furthermore, the study improved the
PageRank algorithm to assess the importance of port nodes and introduced
reliability theory and risk assessment theory to analyze the failure risks of
port nodes, providing new methods and perspectives for analyzing the reliability
of the shipping network.
Continuous Trust Estimation Method Based on Kalman Filtering in
Human-Machine Co-Driving
Authors: Lin Qingyang , Huang Jun , Wang Xinpeng , Lyu Nengchao
Published: February 2025

Subjective trust and active takeover behavior characteristics are two important
aspects of trust performance in human-machine co-driving cars. However, trust is
a subjective, abstract concept that changes over time and is difficult to
measure directly. At present, there is a lack of quantitative research on
objective trust and dynamic estimation of continuous trust under the influence
of different independent variables, which inhibits its further use and
development. This study adopts a continuous objective trust estimation method
based on driving behavior, which mathematically describes the continuous
measurement problem of objective trust and extracts driving behavior indicators
in different traffic event research segments. The objective trust state space
equation is established, and the objective trust estimation model is constructed
based on the Kalman filter algorithm. Through model parameter definition and
model verification, the estimation results and subjective trust are divided into
trust levels through K-means clustering to verify the accuracy of the model. The
results show that this method can estimate the continuous change in driver
trust, and the error with the driver's subjective trust gradually decreases over
time. This study improves the estimation method of trust estimation by combining
theoretical calculations with experimental results, fills the gap in the
continuous measurement of trust, and has a guiding role in the future research
and development of trust in human-machine co-driving cars.
Research on Taxiing Path Planning of Hub Airport Based on Dijkstra
Algorithm
Authors: Feng Bocheng , Qi Xinyue , Zhang Hongbin
Published: February 2025

Aiming at the problem of insufficient capacity of taxiways in hub airports, which
combine the safety interval, conflict resolution and fair principles, a taxiway
planning model is established by taking the shortest taxiway as the optimisation
goal, considering fuel consumption and exhaust emissions. Dijkstra algorithm is
used to transform the taxiing path into an adjacency matrix, and conflict
resolution is carried out in a weighted way. Under the premise of ensuring zero
conflict of taxiways, the total taxiing distance is reduced. Based on actual
operational data from a hub airport in China, the results show that the proposed
taxiing path planning method is feasible, shortening the aircraft taxiing
distance and improving the surface taxiing efficiency.
RCS Measurement and Modeling of Typical Traffic Participants Based on
Millimeter-Wave Radar for Autonomous Vehicles
Authors: Liu Tengyu , Shi Weigang , Tong Panpan , Bi Xin
Published: February 2025

At present, 77GHz millimeter-wave (MMW) radar has become a critical sensor in
intelligent transportation systems due to its all-weather detection capability,
which enables it to resist complex weather and light interference. Radar cross
section (RCS) is a significant characteristic of radar, greatly impacting the
detection quality of traffic targets across various traffic scenarios. RCS is
usually measured in an anechoic chamber to establish a model of the RCS of
typical traffic participants. However, due to large target fluctuations and
multi-angle scattering centers of targets, representing the RCS characteristics
of typical traffic participants with a single point is challenging. Taking
global vehicle target (GVT), pedestrian target and cyclist target as examples,
this paper proposes a method for measuring and modeling the RCS features of
typical traffic participants. For the static RCS features of targets, we
measured the RCS of the target under different viewing angles in an anechoic
chamber, establishing an RCS feature analysis method for the target based on the
radar viewing angle. For the dynamic RCS features of targets, we collected radar
reflection data of typical traffic participants from different perspectives
while in motion in an open-field environment. We then extracted and synthesized
the strong scattering centers of the target, established a dynamic RCS feature
model, and fitted the RCS boundary curve from the near field to the far field.
Based on the road scenario, we established the RCS simulation scenario to
validate the effectiveness of the target dynamic RCS simulation model in the
road scenario. The results of testing and analysis show that radar enables
stable characterization and modeling of target RCS, thereby enhancing the
environmental perception capabilities of autonomous vehicles and improving
driving safety within intelligent transportation systems.
Zahodnoslovanske književnosti v sodobnem šolskem literarnem kanonu
Authors: Šnytová Jana , Rezoničnik Lidija , Sevšek Šramel Špela
Published: February 2025

Članek obravnava razvoj literarnega kanona, kot so ga v 20. stoletju sooblikovali kulturni in družbeni vplivi, s poudarkom na zahodnoslovanskih književnostih. V tem kontekstu posebej izpostavi spremenljivost kanonov, ki preizprašuje tradicionalne kanonizacije književnosti in hkrati omogoča morebitne revizije slovenskega šolskega kanona z vključitvijo zahodnoslovanskih književnosti, s čimer bi (srednješolski) bralci pridobili celovitejši razgled po literarnem razvoju. V razpravi povzemamo značilnosti ter razvoj poljskega, češkega in slovaškega (šolskega) literarnega kanona, razmišljamo o vzporednicah s slovenskim ter za njegovo obogatitev predlagamo izbrana literarna dela iz poljske, češke in slovaške književnosti. Kriterija za utemeljitev tega izbora sta po eni strani reprezentativnost teh del za njihove nacionalne književnosti ter po drugi ekskluzivnost v smislu visoke estetske kakovosti in možnosti njihovih novih, sodobnih interpretacij. S teh vidikov predstavljamo literarna dela S. Lema, K. Čapka in D. Tatarke.
Doseganje trajnostnih ciljev z ekokritičnim branjem svetovne književnosti
Authors: Karničar Lucija
Published: February 2025

Članek predstavlja rezultate avtoričine magistrske raziskave Uresničevanje cilja trajnostnega razvoja pri pouku književnosti v gimnaziji. Osredotoča se na pomen svetovne književnosti, ki obravnava trajnostne tematike, pri transformaciji vrednot in delovanja gimnazijcev. Avtorica za obravnavo te teme kot osrednja dva pojma prepoznava ekokozmopolitizem in globalno državljanstvo. Oba izpostavljata pomen vsebin, znanja in raziskovanja tujega oziroma nečesa, kar odstopa od norm družbe, v kateri bivamo. Temeljita tudi na spoštovanju tega drugega. Ekokozmopolitizem izpostavlja, da je to drugo lahko tudi nečloveško bitje, ekosistem ali katerikoli del naravnega okolja, s čimer razveljavlja ozko antropocentrično gledišče. Članek z ekokritično analizo finskega epa Kalevala ter novele Ernesta Hemingwaya Starec in morje dokazuje, da branje svetovne književnosti omogoča spoznavanje ter kritično opredelitev do pojmov antropocentrizem in ekocentrizem. Ob primerih Thoreaujevega dokumentarnega romana Walden: življenje v gozdu, ki želi na različne narativne načine izraziti resnico človeškega bivanja v nekem naravnem okolju, in dokumentarnega romana Johna Herseya Hirošima, ki je s pripovedno polifonijo glasov preživelcev želel ovekovečiti (krizni) zgodovinski trenutek, pa članek utemeljuje smiselnost obravnave kontekstov nastanka in recepcije dokumentarne književnosti. Članek ugotavlja, da lahko v gimnazijski pouk književnosti s tematskimi razrednimi bralnimi klubi vključujemo tudi trajnostno delovanje, ki v središče postavlja demokratični dialog o obravnavanem literarnem delu. V tako zasnovanem dialogu dijaki, učitelj in lokalni gost kot enakovredne inteligence komentirajo svoja branja literarnega besedila, vključujejo svoja raziskovanja neumetnostnih besedil in na podlagi novih spoznanj snujejo načrte za delovanje v lokalni skupnosti.
Autonomy in the relationship between education and entrepreneurial intentions of female students
Authors: Dinh Tuyen Thi Kim , Mai Trang Duong Thuy , Ly Linh Thi Thuy , Pham Minh
Published: February 2025

Female students are a potential target that can help the economy develop and grow. Although women starting businesses has become popular, women still face many more challenges than men in the Vietnamese market. Some of them are autonomy, knowledge, and business motivation. Therefore, this study aims to evaluate the impact of entrepreneurship education on female students’ entrepreneurial intention through business motivation. At the same time, the research also examines the moderating role of autonomy in relationships. Data were collected from 356 female students at universities in Vietnam and analyzed using SmartPLS 4 software. The results of the study accepted all hypotheses in the model. The study found that business motivation mediates the relationship between entrepreneurship education and entrepreneurial intention. Autonomy has a moderating role in the relationships in the model. Therefore, universities need to improve entrepreneurship education and autonomy so that female students have more motivation to start businesses, thereby increasing the rate of female entrepreneurs in Vietnam.
The impact of online review on fresh food purchase intention via mobile applications: An approach of Elaboration Likelihood Model (ELM) theory
Authors: Nguyen Hoa Le Thai , Tang Thi Thi Cam
Published: February 2025

Today, consumers are interested in fresh food, and the convenience of mobile App shopping since the rise of various food delivery platforms gives consumers more choices and enables them to gather information through online reviews. This study aims to examine the impact of central and peripheral cues of Online Consumer Review (OCR) (including accuracy, completeness, timeliness, consistency, quantity, product ratings, and visual cues) toward purchase intention based on Elaboration Likelihood Model (ELM) and the mediating role of attitude. Previous studies explored the independent effects of central and peripheral cues on behavioral intention. However, approaching ELM, we argue that central and peripheral ones are processed jointly by online consumers rather than independently. By non-probability method with a convenience sample, data from 302 online shoppers in Vietnam were collected by online survey and analyzed with a Structural Equation Model (SEM). The results revealed that the accuracy, timeliness, consistency, quantity, and visual cues of Online Consumer Reviews (OCR) had a significant impact on attitude. Besides, attitude was found to play a fully mediating role between OCR consistency, visual cues, and purchase intention. It also played a partially mediating effect between OCR accuracy, timeliness, quantity, and purchase intention. The findings deepen insights into the factors of eWoM in the new context and propose significant implications for managers and marketers to have a better marketing strategy to improve business profitability, especially on e-commerce platforms.
Business group, corporate governance and business performance: A study in Vietnam
Authors: Nguyen Thong Tien , Doan Nhi Phuong , Tran Tuong Minh
Published: February 2025

Corporate governance is essential for businesses, especially those with complex structures. This research examines the relationship between business group structures, corporate governance, and business performance in Vietnam, providing theoretical insights and practical management recommendations. Analyzing data from over 100 of the largest listed companies on the Vietnam Exchange AllShare, the study used the Fixed Effects Model, Random Effects Model, and Feasible Generalized Least Square estimations to assess the impact of business groups on governance and performance. The study reveals a positive but relatively weak impact of expanding the scale of business groups on the quality of corporate governance and business efficiency. Audit Committees, Independent Directors, and company size positively influence governance quality, while liquidity has a negative impact. Similarly, these factors positively affect business efficiency, whereas financial leverage has an inverse relationship. This research enhances the understanding of how business group structures influence corporate governance and business efficiency in Vietnam. It underscores the importance of good governance principles to improve accountability, transparency, and protect stakeholder interests, highlighting the positive role of certain governance structures in enhancing business efficiency.
Lighting Design for Visual Comfort and Energy Efficiency Considerations: A Patient Room Case Study
Authors: Samaneh Aghajari  , Cheng-Chen Chen
Published: February 2025

Discomfort glare causes unease and distraction, significantly affecting patients, staff, and visitors. Achieving visual comfort is essential for glare reduction, as it is primarily influenced by artificial lighting in the workplace. This study examines the probability of visual comfort and the unified glare rating (UGR) as measures of discomfort glare. UGR calculations compare three types of artificial lighting sources in a hospital patient room, considering both visual comfort and energy efficiency. This study analyzes different lighting installations with a focus on surface properties and their relative height as critical factors for enhancing visuals and reducing energy consumption. The results show that increasing the reflection coefficient can reduce energy consumption while improving visual comfort. Although LED lighting generally outperforms traditional lamps, the latter can still achieve significant performance improvements with increased surface reflectance.
The Performance of the Adiwiyata Program
Authors: Masdar Masdar , K Nurdin , Kamal Helmi
Published: February 2025

Environmental challenges, such as climate change, pollution, and deforestation, require proactive educational strategies to foster sustainability awareness and responsible behavior among students. The Adiwiyata Program, introduced by the Indonesian Ministry of Environment and Forestry, aims to integrate environmental education into the school curriculum to promote sustainable practices. This study evaluates the implementation of the Adiwiyata Program at MTs Negeri Luwu Timur using the CIPP (Context, Input, Process, Product) evaluation model. The research adopts a qualitative approach, utilizing observations, semi-structured interviews with school administrators, teachers, students, and community members, and document analysis to assess the program's effectiveness. The findings reveal that the program aligns well with the school’s vision and mission, emphasizing academic excellence and environmental stewardship. Strong government support and active community engagement significantly contribute to the program's success. Adequate resources, including well-trained educators and interdisciplinary curriculum integration, have increased environmental awareness, positive behavioral changes among students, and noticeable improvements in the school’s physical environment. However, challenges such as limited funding, delayed external resource fulfillment, and difficulties in engaging new students highlight areas for improvement. This study concludes that the Adiwiyata Program at MTs Negeri Luwu Timur effectively integrates environmental education in madrasahs. The research offers strategic recommendations for enhancing program sustainability, improving stakeholder collaboration, and expanding the program’s impact beyond the school community. These findings contribute to the broader discourse on environmental education and its role in fostering sustainable development in educational institutions.
DETERMINANT OF UTILIZATION OF VITAMIN A PROPHYLAXIS PROGRAMME AMONG CHILDREN SEEKING HEALTH CARE FROM A TERTIARY LEVEL HOSPITAL
Authors: Asha Dr. K. V. Asha
Published: February 2025

Vitamin A deficiency is widely prevalent, particularly in the developing world. Vitamin A deficiency increases
susceptibility to a range of diseases in children including xerophthalmia, keratomalacia, and blindness. The
National Prophylaxis Programme against Nutritional Blindness due to Vitamin A deficiency started in 1970
with specific aim of preventing nutritional blindness due to keratomalacia. Still the utilization to vitamin A
prophylaxis is less among children in the community. Present study was carried out to find out the factors associated with utilization of Vitamin A Prophylaxis Programme among children attending a tertiary level hospital at Thiruvananthapuram district of Kerala.
CIRCADIAN CHANGES IN ANTIOXIDANT ENZYMES, CIRCULATING LIPID PEROXIDES, OTHER MOLECULES IN GYNECOLOGICAL MALIGNANCIES AND ITS MANAGEMENT: A REVIEW
Authors: Nirwal Mr. Arjun , Roy Dr. Aamarpali , Pankaj Dr. V. K. Pankaj
Published: February 2025

In this paper we explore the Circadian Changes in Antioxidant Enzymes, Circulating Lipid Peroxides, Other Molecules in Gynecological Malignancies and its Management. Carcinogenesis is considered to be a multi-stage process. “A physical, chemical, or biological agent induces a permanent change in the molecular structure of the cell's DNA
during the initiation period. Following this, a promotion period exists, during which the expression of genes that
govern cell division and development is changed. There have been several studies on the function of free radicals
and oxidative defense mechanisms in various forms of cancers. In gynecological malignancies, however, the
circadian variance of the pathophysiological load of cancer on lipid peroxide concentrations and oxidative protection mechanisms must be periodically mapped by inferential statistical parameter calculation until a reproducible chart can be validated.
MENTAL ILLNESS AMONG MOTHERS– A REVIEW
Authors: Pradhan Mrs. Malati , Balakrishnamony Dr. Brintha
Published: February 2025

Review of literature is an important step in the development of the research project, and in broadening the understanding and developing an insight into the problem area. It further helps in developing the broad conceptual context, in which the problem fits, methodology, construction of tool, analysis of data. This article
presents a review of selected literature relevant to the Mental illness among mothers. Traditionally in India, the
responsibility of care and protection of children has been with families and communities. Mental illness is the
term used to describe a broad range of mental and emotional conditions. Mental illness is also used to refer
mental impairments other than mental retardation, organic brain damage and learning disabilities. It’s important for mothers to prioritize their mental health and seek support when needed to ensure that they can continue to provide the best care for their child.
Implementación Didáctica de Autómatas Programables para la Optimización de Procesos Industriales
Authors: Martínez Balbín Luis , Garcia Curo Gianmarco
Published: February 2025

This article argues for the development of a training module for the practice of automation in the laboratory of the Industrial Electrotechnology classroom of the Pampas Tayacaja Institute; whose purpose is that the same module conceived for learning with these devices is developed in a single place, merging both electrical and electronic devices, to practice with automation, in each required case, allowing them to be carried out in a more efficient and safe way; where a methodological procedure focused on programming programmable logic controllers (PLC) was used and the test of the effectiveness of the module consisted of comparing the technical and economic part with the automation system used in a conventional way, and the automation system with the PLC. The results reflect that the practice module oriented in the development of this article facilitates the assembly time (installation time) and start-up, increasing the useful life of the component and in itself a significant learning of the students.
Aversion to Happiness and Life Satisfaction: Exploring the Role of Psychological Inflexibility and Vulnerability
Authors: Teke Esra , Tunca Aslı
Published: February 2025

Aversion to happiness (AH) is a destructive psychological phenomenon that significantly impacts individuals' well-being. The mediating roles of psychological inflexibility (PI) and psychological vulnerability (PV) in the relationship between AH and life satisfaction (LS) remain an unexplored gap in the literature. Therefore, the aim of this study was to examine the mediating role of PI and PV in the relationship between AH and LS. A total of 404 participants were included in the study (Mage = 22.32 years, SD = 5.20). Structural equation modeling (SEM) and bootstrap analysis were employed to test the study’s model. The results from SEM revealed that individuals experiencing aversion to happiness exhibited high levels of psychological inflexibility and psychological vulnerability, along with low life satisfaction. The study confirmed the mediating effects of PI and PV in the relationship between aversion to happiness and life satisfaction. These results suggest that reducing psychological inflexibility and psychological vulnerability may help individuals more effectively manage their aversion to happiness, potentially enhancing overall life satisfaction. Based on these findings, mental health professionals are encouraged to implement interventions aimed at boosting life satisfaction and mitigating the impact of risk factors. Specifically, psychological counselors are advised to apply counseling and psychoeducation interventions designed to enhance life satisfaction and address risk factors. Approaches such as Acceptance and Commitment Therapy (ACT) can help reduce psychological inflexibility in individuals who experience aversion to happiness, while cognitive-behavioral therapy techniques can address psychological vulnerability.
From Silos to Synergy: Achieving Holistic Learning through Collaborative Teaching
Authors: Jusoh Wan Noor Hazlina Wan , Ibrahim Norlaila , Ahmad Nor Faezah Ghazi , Hassan Nik Fakrulhazri Nik
Published: February 2025

Educators are adapting teaching methods to meet the needs of modern university students who must complete various subject requirements each semester. Students often encounter numerous tasks and deadlines that frequently overlap. Consequently, collaborative teaching was executed to evaluate the effects on teaching and learning. This study seeks to evaluate student satisfaction about collaborative teaching methodologies. The students were assigned to two distinct group projects based on similar business concepts and created a video presentation tailored to meet the criteria of two subjects by incorporating the unique element of a corporation's compliance with Shari’ah principles. The instructors evaluated this specific business endeavour for both disciplines utilising distinct rubrics to achieve varied learning objectives. At the end of the semester, a survey was administered to 75 participating students to assess their satisfaction with the collaborative teaching initiative. The collaborative teaching produced beneficial outcomes, with 97% of students affirming that it led to time efficiency, improved understanding of the applicability of their knowledge, and a deeper comprehension of both subjects. This collaborative teaching approach can be extended to more courses across many disciplines, offering students a holistic and cohesive learning experience. The results demonstrate that integrating collaborative evaluations between two different but related subjects, adding entrepreneurship and Shari’ah-compliant features, alongside effective teaching methodologies, significantly improves students' learning activities. Therefore, it is advisable for academic institutions to prioritise and promote the cultivation of these behaviours while concurrently improving students' academic performance
The Effectiveness of Cognitive Restructuring Technique in Counselling
Authors: Paslan Nur Azmina , Kamil Muhammad Shafiq Mt
Published: February 2025

This study aimed to evaluate the effectiveness of the cognitive restructuring technique during counseling sessions. A purposive sampling method was used to select a subject from junior doctor undergoing training at Government Hospital. Quantitative data were collected using the Perceived Stress Scale (PSS), while qualitative data were obtained through verbatim transcripts of counseling sessions. A total of six counseling sessions were conducted, and the stress level was analyzed through descriptive analysis of the PSS scores and content analysis of the verbatim transcripts. The findings revealed that houseman with high perceived stress levels exhibited stress symptoms across emotional, physiological, cognitive, and behavioral dimensions. Overall, the counseling sessions successfully reduced the client's stress level from high to moderate, demonstrating the effectiveness of the cognitive restructuring technique in managing stress among junior doctor.
UPRAVLJANJE NEFORMALNOM INTERNOM KOMUNIKACIJOM KAO PREDIKTOR UČINKOVITIJEGA KOMUNIKACIJSKOG PROCESA
Authors: Ćosić Draženka , Dunđer Ivan
Published: February 2025

Učinkovita eksterna i interna komunikacija ključne su za uspješno poslovanje. Interna komunikacija omogućuje kvalitetne odnose među zaposlenicima i njihovim nadređenima. To pridonosi većemu zadovoljstvu zaposlenika i ostvarivanju ciljeva tvrtke. Tvrtke trebaju učinkovito organizirati formalne kanale komunikacije i koristiti prednosti neformalnih kanala. Ovaj rad istražuje neformalnu poslovnu komunikaciju s fokusom na posebnu vrstu neformalne komunikacije, pod nazivom vinova loza. U radu su postavljene dvije hipoteze koje ispituju: i) problem širenja informacija neformalnim kanalom komunikacije vinove loze uslijed nepravo- vremena i nedostatna distribuiranja informacija od strane rukovodstva te ii) mogućnost upravljačkih struktura u kontroliranju komunikacije vinove loze. Za potrebe ovoga rada analizirani su rezultati istraživanja organizacijske klime u odabranoj tvrtki, na temelju kojih se željelo istražiti zadovoljstvo zaposlenika radom u toj tvrtki, korištenje neformalnih komunikacijskih kanala, problematika neformalna oblika poslovne komunikacije vinove loze te mogućnosti i načine učinkovita upravljanja komunikacijom vinove loze.

Ključne riječi: interna komunikacija; učinkovita komunikacija; neformalna komunikacija; vinova loza; distribucija informacija; zadovoljstvo zaposlenika; uspješnost poslovanja
Analysis of Strategy in Retaining Its Customers: A Case Study of Starbucks in Malaysia
Authors: Sekhar Tushanthan A/L , Jian Oh Zi , Liem Gai Sin , Ying Teoh Zhi , Sheng Toh Kok , Xian Tham Chui , Fitria Yasmin Nur , Dewanti Rosa Ayu , Thalib Salsabilah Hani
Published: February 2025

Starbucks is an American coffee company and coffeehouse chain. The coffee chain in Malaysia is operated by Berjaya Starbucks Coffee Company Sendirian Berhad, which is part of the listed Berjaya Food Berhad. This study aims to analyze the strategy that Starbucks in Malaysia uses to retain its customers. The research methodology that we tend to use in this research is empirical as it will be conducted through primary data sources such as online survey techniques. The study will use questionnaires to gather information from Malaysian Starbucks customers. We want to do an empirical research paper because we are analyzing the strategy that Starbucks Malaysia is running to retain its customers as Starbucks is among the most well-known and recognized brands in the world. For that, we will analyze Starbucks' marketing formula and see how customers react to what Starbucks has done.
Influencing Factors on Customer Behavioral Intentions to Use a Food Delivery App: A Study of GrabFood in Malaysia
Authors: Liou Zi Yao , Lok Yee Huei , Teoh Kok Ban , Lim Jin Ting , Lim Kai En , Lim Pei En , Kee Daisy Mui Hung
Published: February 2025

Digital technology has revolutionized the food and beverage industry, leading to a rapid expansion of food delivery services. GrabFood has become a popular option for individuals seeking simple and convenient food delivery services, particularly among university students. This study investigates the factors influencing GrabFood’s adoption, using a combination of primary and secondary data. An online survey of 150 respondents highlighted key trends in customer behavior, identifying perceived usefulness, perceived convenience, and perceived quality of service as key determinants of user intentions. This research introduces customer satisfaction as an intermediary variable significantly influencing the relationship between the perceived attributes and behavioral intentions. These factors significantly impact the decision-making process, highlighting the importance of app efficiency and service quality in Malaysia's competitive food delivery industry. The findings underscore the need to enhance customer engagement and refine service strategies, which might be beneficial in the evolving digital food service sector