bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Role of Servant Leadership in Enhancing Individual Innovativeness
Authors: Munir Rosintansafinas , Noridan Wafaa Syuhada , Hairuddin Hanitahaiza 
Published: July 2023

It is undeniable that organizations today need to be more innovative in order to be sustained due to the increasingly competitive environment. Further, creative and innovative employees are crucial in supporting the organization to be more competitive. Unfortunately, the level of individual innovativeness in Malaysia remains at a moderate level. Thus, it is believed that the role of servant leadership is imperative to enhance the innovativeness among the staff in the organisations. This study aims to examine the influence of servant leadership’s characteristics, i.e. altruistic calling, emotional healing, and organizational stewardship in fostering individual innovativeness. A total of 177 administrative staff from private educational institutions in Selangor participated in the survey. The Partial Least Square (PLS) Structural Equation Modeling (SEM) (PLS-SEM) was applied in assessing the path modeling. The results indicated that altruistic calling, emotional healing, and organizational stewardship positively and significantly influenced the individual innovativeness. A well-practiced servant leadership in the organisation will lead the employees to be more creative and innovative. In addition, individual innovativeness can increase the innovative performance level of the organization. This study will serve as a guideline for the management to design new strategies in engaging leaders and employees to strive for innovation as well as to stimulate individual innovativeness.
An Empirical Study of Graduates’ Attributes, Graduates’ Skills, Job Mismatch, and Unrealistic Salaries as Unemployment Factors Among Malaysian Graduates
Authors: Jeffri Nur Fatin Izzati , Abdul Rahim Ramita 
Published: July 2023

Malaysian graduates today face challenges and struggles in the employment market. For the past few years, the unemployment problem has gotten worse. The rising unemployment rate is a serious issue since it could harm Malaysia's educational system's reputation and, as a result, cause some employers to lack confidence in the capabilities of our local graduates. Malaysian universities produce a large number of graduates, but an amazingly small percentage of those graduates find gainful employment. This problem develops when graduates seek to succeed in their academic achievements rather than practicing and cultivating traits within themselves. Employers today prefer graduates with working experience. Graduates who are selective about getting a job with a high salary do not fit the requirements for employment. So, it is crucial to address the issue's underlying cause immediately. This study is to determine the relationship between graduates’ attributes, graduates’ skills, job mismatch, unrealistic salaries, and unemployment among Malaysian graduates. This study used a self-administered questionnaire that was distributed among alumni of a public university. The sampling technique used was purposive sampling. The sample size was determined by G*Power analysis. Data was analyzed by multiple regression analysis using SPSS version 26.0 as a tool to examine the relationship for each variable. The findings of this study reveal that there is a positive relationship between the four factors that contribute to unemployment among Malaysians, and the most important factor contributing to unemployment is graduates’ attributes. The findings have suggested significant factors to improve for graduates, parents, a body of government, education institutions, as well as the industry sector.
Bottlenecks Detection for Improvement of The Emergency Department Process Flow in A Healthcare Facility
Authors: Farhaniz Nur , Azlina Nor , Reza Shahrul , Rohaya Siti , Anis Azilah 
Published: July 2023

The emergency room of a healthcare facility is one of the most complicated and challenging service production processes. People often talk about overcrowding, long waiting times for treatment, lower quality and safety of care, as well as ineffective use of resources. It was discovered that delays between diagnosis and treatment are patients' biggest complaints. Nevertheless, limited studies were found to investigate the causes of delays in the emergency department of a healthcare facility. This study thus aims to investigate how procedures are carried out in the emergency department of a healthcare facility in Klang Valley, particularly to identify the root causes of long waiting times between diagnosis and treatment, as well as to provide some solutions to address the causes. The qualitative method is applied in the present study. Observation and semi-structured interviews with five important internal resource persons/respondents were used to gather the data. The results show that bottlenecks in the Triage Stage, caused by 1) incorrectly classifying a patient's need, 2) lengthy consultation by a Medical Officer, and 3) a longer time to get the review result of a patient's admission, cause delays in the emergency department of the Healthcare Facility. The findings discovered that the Healthcare Facility should improve staff-patient communication, establish a more effective Queue Management System (QMS), and reassign duties to improve emergency department process efficiency as well as increase patient satisfaction. The findings from this study, specifically focusing on the comprehensive root-cause analysis, offer the healthcare facility a significant opportunity to drive transformative improvements in patient care and operational efficiency. By leveraging the insights gained through the study, the management can implement the proposed solutions to reduce delays and proactively address emergency department bottlenecks.
Impact of Information Technology Towards Organizational Performance
Authors: Omar Ariff Othman , Jailani Sri Fatiany Abdul Kader , Ali Syukrina Alini Mat , Yunus Noor’ain Mohamad 
Published: July 2023

Since the beginning of the 21st century, numerous organizations have extensively implemented information technology into their operations. With regard to this, it captures the interest of researchers, practitioners, academicians, and policymakers to comprehend the role of organization dynamic capability in information technology and the role of digital leadership in enhancing organizational performance and enabling the information technology process. There was limited study on the impact of technology on the performance of government agencies. Therefore, this research focuses on government agencies in Malaysia. This study was conducted to seek the true role of information technology in organizational performance and the impact of information technology on organizational performance. Through an analysis of the 131 randomly selected workers, this paper investigates the impact of information technology on organizational performance. This study examines the effects of IT Operation, IT Knowledge, and IT Competence on the performance of an organization. In this research, SPSS was used for normality and reliability analysis, as well as descriptive organization multiple regression analysis. The result revealed that only IT Competence has a positive impact on organizational performance. The finding also revealed that the impact of information technology on the performance of an organization is minimal and contributes a minor impact.
Chlorate-induced molecular floral transition revealed by transcriptomes
Authors: Li Songgang , Chen Houbin , Hong Jiwang , Ye Xiuxu , Wang Jiabao , Chen Yeyuan , Zhang Lei , Su Zuanxian , Yang Ziqin 
Published: July 2023

Abstract
Flowering in off-season longan (Dimocarpus longan L.) can be induced effectively by the application of potassium chlorate (KClO3), but the mechanism of the physiological induction is largely unknown to decipher its mechanism and identify genes potentially regulating the process, and comparative analysis via RNA-Seq was performed between vegetative and KClO3-induced floral buds. A total of 18,649 differentially expressed genes (DEGs) were identified between control and treated samples. Gene ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis revealed that DEGs related to plant hormone signal transduction, mitogen-activated protein kinase (MAPK) signaling pathway, starch and sucrose metabolism, and phenylpropanoid biosynthesis were enriched in our data. A total of 29 flowering-related DEGs were identified in our study, such as APETALA1 (AP1), APETALA2 (AP2), AUXIN RESPONSE FACTOR 3/ETTIN (ARF3), SQUAMOSA PROMOTER BINDING PROTEIN-LIKE 8 (SPL8), AGAMOUS (AG), and others. The upregulation of AP2 and SPL genes indicates that the age-related pathway is activated and influences the floral induction in KClO3-induced longan floral buds by coordinated regulation of genes related to AP1, AG, and ARF3. This study provides a valuable resource for studying molecular mechanisms underlying chlorate-induced floral transition in off-season longan, which may benefit the development and production of off-season tropical/subtropical fruit trees.
TAK-242, a toll-like receptor 4 antagonist, against brain injury by alleviates autophagy and inflammation in rats
Authors: Feng Yan , Ju Yaru , Wu Qiang , Sun Guozhu , Yan Zhongjie 
Published: July 2023

Abstract
Inhibition of Toll-like receptor 4 (TLR4)-mediated inflammatory pathways exerts a critical effect on neuronal death; therefore, it is a possible new therapeutic approach for traumatic brain injury (TBI). Resatorvid (TAK-242) is a novel small-molecule compound widely used to inhibit TLR4-mediated pathways, but the protective mechanism of TAK-242 in TBI remains unclear. Herein, we analyzed the neuroprotective effects of TAK-242 in rats after TBI. The rat model of brain injury was established using a modified Free-fall device, and the rats were injected with TAK-242 (0.5 mg/kg) through the caudal vein before TBI. The rats were allocated into four groups: a sham group, a TBI group, a TBI + vehicle group, and a TBI + TAK-242 group. The brain tissue was extracted for histology and determination of the expression of autophagy-related proteins and inflammatory mediators. TAK-242 pretreatment significantly reduced the damage to hippocampal neurons. Neuronal autophagy increased after brain injury, whereas TAK-242 significantly reduced autophagy marker protein LC3-II in the hippocampus. In addition, TAK-242 pretreatment significantly downregulated NF-κB p65, TNF-α, and IL-1β in the hippocampus. In conclusion, TAK-242 significantly reduced hippocampal neuronal damage by inhibiting autophagy and neuroinflammatory activity, possibly via the NF-κB signaling pathway.
Feature fusion-based text information mining method for natural scenes
Authors: Peng Fengying , Wang Runmin , Hu Yiyun , Yang Guangyi , Zhou Ying 
Published: July 2023

AbstractAs a crucial medium of information dissemination, text holds a pivotal role in a multitude of applications. However, text detection in complex and unstructured environments presents significant challenges, such as the presence of cluttered backgrounds, variations in appearance, and uneven lighting conditions. To address this issue, this study proposes a text detection framework that leverages multistage edge detection and contextual information. This framework deviates from traditional approaches by incorporating four primary processing steps, including text visual saliency region detection to accentuate the text regions and diminish background interference, multistage edge detection to enhance the conventional stroke width transform results, a texture-based and connected components-based integration to accurately distinguish text from the background, and a context fusion step to recover missing text regions and improve the recall of text detection. The proposed method was evaluated on two widely used benchmark datasets, i.e., the international conference on document analysis and recognition (ICDAR) 2005 dataset and the ICDAR 2011 dataset, and the results indicate the advancedness of the method.
Study on by-products synthesis of powder coating polyester resin catalyzed by organotin
Authors: Yang YuCheng , Di Chao , Wang TingWei 
Published: July 2023

Abstract
In the production of powder-coating polyester, a strong odor emanates from the water, prompting us to investigate its composition and origin. We studied the process of powder coating epoxy/polyester 50/50, which employs butyl tin tris (2-ethyl hexanoate) as a catalyst. The esterified water was extracted using ethyl acetate. It was analyzed via GC–MS to identify the side reactions and by-products that arise during the tin-catalyzed esterification process. Then we discussed their formation mechanism. Our results indicate that butyl tin tris (2-ethyl hexanoate) triggers side reactions such as cyclization and transesterification, leading to the production of by-products such as heterocyclic compounds (1,4-dioxane), anhydride compounds (propionic anhydride), and others. Notably, the unpleasant odor was found to be derived from propionic anhydride. These findings provide insights into the chemistry of tin-catalyzed esterification and highlight the importance of addressing the formation of unwanted by-products in the production of powder-coating polyester.
Heterogeneous interventional effects with multiple mediators: Semiparametric and nonparametric approaches
Authors: Rubinstein Max , Branson Zach , Kennedy Edward H. 
Published: July 2023

Abstract
We propose semiparametric and nonparametric methods to estimate conditional interventional indirect effects in the setting of two discrete mediators whose causal ordering is unknown. Average interventional indirect effects have been shown to decompose an average treatment effect into a direct effect and interventional indirect effects that quantify effects of hypothetical interventions on mediator distributions. Yet these effects may be heterogeneous across the covariate distribution. We consider the problem of estimating these effects at particular points. We propose an influence function-based estimator of the projection of the conditional effects onto a working model, and show under some conditions that we can achieve root-n consistent and asymptotically normal estimates. Second, we propose a fully nonparametric approach to estimation and show the conditions where this approach can achieve oracle rates of convergence. Finally, we propose a sensitivity analysis that identifies bounds on both the average and conditional effects in the presence of mediator-outcome confounding. We show that the same methods easily extend to allow estimation of these bounds. We conclude by examining heterogeneous effects with respect to the effect of COVID-19 vaccinations on depression during February 2021.
Interpolation inequalities in generalized Orlicz-Sobolev spaces and applications
Authors: Wu Ruimin , Wang Songbai 
Published: July 2023

Abstract
Let

m
∈
N

m\in {\mathbb{N}}

and be a generalized Orlicz function. We obtained some interpolation inequalities for derivatives in generalized Orlicz-Sobolev spaces

W

m
,
φ

(

R

n

)

{W}^{m,\varphi }\left({{\mathbb{R}}}^{n})

. As applications, we established a compact Sobolev embedding on domain and a Landau-Kolmogorov-type inequality in generalized Orlicz spaces. And we introduced the Sobolev

φ

\varphi

-capacity and studied some of its properties.
Isomorphic shut form valuation for quantum field theory and biological population models
Authors: Shehata Maha S. M. , Ahmad Hijaz , Zahran Emad H. M. , Askar Sameh , Ozsahin Dilber Uzun 
Published: July 2023

Abstract
The fundamental objective of this work is focused to achieve a class of advanced and impressive exact estimations to the Zoomeron equation and the time-fraction biological population model through contrivance by a couple of important and magnificent techniques, namely, the modified extended tanh-function method which depend on the balance theory and the Ricatti–Bernoulli sub-ODE method which is independent of the balancing principle. The suggested model is one of the major concerns for studying population distribution dynamics as well as the quantum field theory which is an important discipline for the description of interactions between light and electrons. The two suggested reliable, effective techniques are considered famous among ths ansatz methods that have various visions to realize the exact solutions to the non linear partial differential equation that reduce the volume of calculations examined before and usually give good results. It is solicited for this contrivance finding new exact solutions for two models in terms of some variable. The models are significant in quantum field theory, description of interactions between light and electron, quantum electrodynamics, demographic model, important to bring it into line with the reasonable distribution of wealth, resources, income, etc. The achieved results predict many types of solutions as trigonometric functions, hyperbolic functions, perfect periodic soliton solutions, singular periodic soliton solutions, and other rational solitons solutions. The efficiency of the techniques is demonstrated by the satisfactory results obtained through the derivation of closed-form soliton solutions from the exact solution by assigning definite values to the variables present in it.
Artificial neural network-based prediction assessment of wire electric discharge machining parameters for smart manufacturing
Authors: Manoj Itagi Vijayakumar , Narendranath SannaYellappa , Mashinini Peter Madindwa , Soni Hargovind , Rab Shanay , Ahmad Shadab , Hayat Ahatsham 
Published: July 2023

Abstract
Artificial intelligence (AI), robotics, cybersecurity, the Industrial Internet of Things, and blockchain are some of the technologies and solutions that are combined to produce “smart manufacturing,” which is used to optimize manufacturing processes by creating and/or accepting data. In manufacturing, spark erosion technique such as wire electric discharge machining (WEDM) is a process that machines different hard-to-cut alloys. It is regarded as the solution for cutting intricate parts and materials that are resistant to conventional machining techniques or are required by design. In the present study, holes of different radii, i.e. 1, 3, and 5 mm, have been cut on Nickelvac-HX. Tapering in WEDM is a delicate process to avoid disadvantages such as wire break, wire bend, wire friction, guide wear, and insufficient flushing. Taper angles viz. 0°, 15°, and 30° were obtained from a unique fixture to get holes at different angles. The study also shows the influence of taper angles on the part geometry and area of the holes. Next, the artificial neural network (ANN) technique is implemented for the parametric result prediction. The findings were in good agreement with the experimental data, supporting the viability of the ANN approach for the evaluation of the manufacturing process. The findings in this research provide as a reference to the potential of AI-based assessment in smart manufacturing processes and as a design tool in many manufacturing-related fields.
The 1965 Rat Islands earthquake: A critical comparison of seismic and tsunami wave inversions
Authors: Johnson Jean M. , Satake Kenji 
Published: July 2023

Abstract
We use the 1965 Rat Islands earthquake to compare seismic wave inversion results for moment-release distributions to tsunami wave inversion results for slip distribution. Inversion using the two different datasets shows a high correlation between the areas of high moment release and areas of high slip. These areas of high slip correspond to the tectonic features of the western Aleutians, namely, the Rat, Buldir, and Near blocks. Less slip is observed between the blocks. The correlation indicates that far-field tsunami data is as useful as seismic data for studying moment distributions.
On the scaling of slip with rupture length for shallow strike-slip earthquakes: Quasi-static models and dynamic rupture propagation
Authors: Bodin Paul , Brune James N. 
Published: July 2023

AbstractWe explore whether observations of average surface rupture properties among strike-slip earthquakes reflect the underlying mechanics. We compare the observed relationship between average slip and rupture length for 27 surface ruptures (18 plate-boundary earthquakes and 9 away from transform plate boundaries) with predictions from two families of uniform-stress-drop models. Purely elastic models with a rupture-limiting locking depth predict a nonlinear relationship while a quasidynamic model with no locking depth predicts a linear relationship. We explore whether observations of fault slip at the Earth's surface distinguish which, if either, of these two families of models may be favored. We find that the data provide insufficient constraints to rule out either a linear or a nonlinear relationship. This might arise from uncertainties in the observations or from reasonable (but unrecoverable) variations in locking depths and uniform stress drops among earthquakes. We advance an alternative interpretation that the complexity among the observations is consistent with dynamic rupture models featuring spatially varying stress drops.
Seismic behavior of the southern San Andreas fault zone in the northern Coachella Valley, California: Comparison of the 1948 and 1986 earthquake sequences
Authors: Nicholson Craig 
Published: July 2023

AbstractModerate earthquakes in 1948 and 1986 that occurred along the southern San Andreas fault zone are examined to help understand the subsurface geometry and seismic behavior of active fault segments in the northern Coachella Valley. The 1986 North Palm Springs earthquake occurred between the Banning and Mission Creek traces of the San Andreas fault zone. Based on data from both portable and permanent stations, aftershocks of the 1986 event define a nearly planar surface that strikes about N60° to 70°W, is about 15-km long, and dips northeast from near the Banning surface trace at about 45° to 50°. Relocation of the mainshock using revised station corrections and a local velocity model inverted from the aftershock arrival times indicates a location at 34°N00.26′, 116°W36.34′, and a focal depth of 10.4 km. The first-motion focal mechanism for the mainshock indicates pure right-slip on a plane dipping northeast at 40° to 45° with a strike of N60°W. Previous moment-tensor solutions (e.g., Hartzell, 1989) exhibit significant oblique-reverse slip on a plane with a more westerly strike and a seismic moment of 1.4 to 1.7 × 1018 N-m (Mw = 6.1). Actual and synthetic Wood-Anderson recordings indicate a local magnitude of ML 6.0.The 1948 Desert Hot Springs earthquake produced waveforms similar to 1986, although amplitudes for 1948 are typically 20 to 30% larger. The 1948 mainshock is relocated at 33°N55.2′, 116°W28.9′, with a focal depth of 12 km, a revised magnitude of ML 6.3, and an estimated seismic moment of 2 to 3 × 1018 N-m. Based on arrival-time information from close (&lt;20 km) portable stations deployed in 1948 to 1949, the 1948 aftershock distribution is about 15-km long, 8- to 10-km wide, and abuts the 1986 aftershock sequence to the southeast along the Banning fault. The 1948 aftershock zone is consistent with a focal mechanism that exhibits predominantly right-slip motion (rake 169°) on a plane that strikes N55°W and dips more steeply northeast at 60° to 70°.In 1986, the horizontal extent of the rupture may have been controlled by secondary cross faults and possible changes in fault geometry, while the down-dip extent may have been controlled by the presence at depth of a regional detachment. In 1948, the rupture likely had a steeper dip than in 1986 and extended southeast as far as the northern Indio Hills, where the surface trace of the Banning fault undergoes an approximate 7° change in strike. These results indicate that the Banning fault is nonvertical, is likely segmented according to fault dip, as well as fault strike, and has been the primary locus of recent moderate-sized earthquake activity in the northern Coachella Valley.