Miracle-dz/UniFAR-FTUs huggingface dataset:
Examining the Influence of Leadership Agility, Organizational Culture, and Motivation on Organizational Agility: A Comprehensive Analysis

The primary objectives of this study encompass three main aspects: firstly, to determine and thoroughly analyze the influence of Leadership Agility on Organizational Agility; secondly, to ascertain and examine the impact of Organizational Culture on Organizational Agility; and finally, to establish and evaluate the effect of Motivation on Organizational Agility. To accomplish these objectives, a research methodology comprising descriptive analysis and multiple linear regression analysis was employed, with a sample size consisting of 85 respondents. The outcomes derived from the multiple linear regression analysis revealed several noteworthy findings. Firstly, it was observed that Leadership Agility exerted a positive and significant influence on Organizational Agility. This suggests that leaders who possess agile qualities, such as adaptability, flexibility, and effective decision-making, contribute significantly to enhancing the overall agility of the organization. Secondly, the study found that Organizational Culture also played a crucial role in shaping Organizational Agility. A positive and significant relationship was identified, indicating that a strong and supportive culture that values innovation, collaboration, and learning fosters organizational agility. Lastly, the analysis demonstrated that Motivation exhibited a positive and significant impact on Organizational Agility. Motivated employees who are driven by intrinsic and extrinsic factors, such as recognition, rewards, and a sense of purpose, contribute to a more agile organization. Overall, this research underscores the importance of Leadership Agility, Organizational Culture, and Motivation in driving and sustaining Organizational Agility. The findings emphasize the significance of cultivating agile leaders, fostering a supportive culture, and nurturing employee motivation to enhance an organization's ability to adapt, innovate, and thrive in a dynamic business environment.
Time-delay perturbation Lorenz system and its synchronous circuit realization

A four-dimensional chaotic time-delay system with multiple positive Lyapunov exponents is presented based on Lorenz system.Some of its basic dynamical properties are studied,and the switchable circuit of the new system is designed by using filter network technique.The conditions for synchronization between two identical higher-order coupled time-delay systems are put forward by using Lyapunov method.The proposed method is also applied to design synchronous control circuits.Experiment results show that this time-delay system has abundant dynamical behaviors;the designed controller is easily to be implemented in practice;better synchronous performances can be achieved by adjusting component values.
Osteonecrosis mandibular relacionada con medicamentos: conceptos teóricos y prácticos actuales para el odontólogo general

La osteonecrosis mandibular relacionada con medicamentos (ONMRM), es un síndrome asociado al uso de fármacos antirresortivos (bifosfonatos), inhibidores de ligando RANK-L y de angiogénesis, administrados para el tratamiento de enfermedades como cáncer y osteoporosis. Objetivos: actualizar contenidos respecto a etiopatogenia y tratamientos de ONMRM, enfatizando el rol del factor “infección”, y en la perspectiva de que el tratamiento, pueda ser implementado por el odontólogo general. Materiales y métodos: se realiza un scoping review mediante acceso a las bases de datos MEDLINE (Pubmed) y Cochrane library, de artículos publicados desde el año 2010 en adelante, en inglés y castellano, empleando palabras claves incluidas en los medical subject headings (MeSH). Conclusiones: La evidencia recogida demuestra que, teniendo en cuenta los factores de riesgo individuales, no existen en general contraindicaciones para llevar a cabo exodoncias, bajo específicos protocolos quirúrgicos, en pacientes con terapias antiresortivas o antiangiogénicas, ya que al parecer, el origen de la ONMRM se asocia a contaminación por biofilm, más que al uso o efecto de estos fármacos. En el caso del tratamiento de una ONMRM ya instalada, las terapias quirúrgicas resultan ser más eficaces que las paliativas en la remisión del cuadro.
A Historical Review for City Branding: Hyper Competition, Challenges, and Improvement Opportunities

This study aims to present a history of city branding: hyper-competition, challenges, and opportunities for improvement. The method used in this study used qualitative with a literature study approach. The findings in the study showed that in understanding the place and building city branding, there are at least three processes first through urban governance planning or infrastructure, then observation by looking at other places in the city branding. Finally, branding representation on social media is in the form of websites and tweets through news, while Instagram is through branding images from somewhere and several other media. Furthermore, City branding can be hyper-competition, showing that business competition is increasing. On the other hand, it can be a challenge and an opportunity considering that many cities have reimagined their competitive strategies by maximizing their internal potential, namely existing resources, to take opportunities and anticipate the threats faced. The contribution of this study provides an understanding of measurements in the city branding literature, helps researchers discover new studies, and can interpret the complex nature of cities. Another thing is that closing the gap between theory and practice presents a huge challenge for brands.
Does Type of Food Affect The Prey Preferences of Three-Spined Sticklebacks?

Three-spined sticklebacks (Gasterosteus aculeatus) are carnivorous feeders that can eat a wide variety of foods, although this animal's relatively small size limits its prey choice. An assessment of the diet and feeding patterns of fish can provide helpful insights. In this study, a three-spined sticklebacks model system was used to hypothesize that, whether a number of factors including the prey’s visual appearance in terms of coloration, texture, size, shape, and movement capability of food can affect the preference for food, it might be expected that patterns for food consumption will alter. Therefore, changes in feeding behavior may be caused by the size, color, smell, visibility, and palatability. The current study examined the effects of host nutrition on the preferences of diet. Here present the results of a diet type study in which fed sticklebacks on a diet of either Artemia spp. , Daphnia, or bloodworms (Chironomus larvae). The results showed significant effects of preferences of diet. Further, fish showed preferred bloodworm and Artemia rather than Daphnia. In the total number of different bites consumed, the time (sec) spent by sticklebacks in various diet areas, and the number of visits by sticklebacks to the three diet areas. The results have demonstrated that the influence of factors such as variation in nutritional composition, color, size, coloration, texture, size, and shape as well as the movement of nutrients in the diet has a significant effect on the preferences of diet the fish in the study.
Object Tracking Based on Adaptive Particle Filter

An object tracking algorithm based on adaptive particle filter is proposed in this paper.Boosting algorithm is introduced into particle filter algorithm,and adaptive particle filter is constructed.Features classifiers are constructed utilizing object information and background information,and the outputs of these classifiers taken as important information of observations of particle filter are used to calculate particles' coefficient.Also,these classifiers are updated during tracking in order to update particles' coefficient adaptively.The experiment result shows that the tracking algorithm we proposed can adaptively select features for tracking utilizing different background information,in applications such as existence of covering,appearance changed,clutter in the background and illumination changing.The objects can be tracked stably.
The Marshall-Olkin Odd Exponential Half Logistic-G Family of Distributions: Properties and Applications

We develop a new family of distributions, referred to as the Marshall-Olkin odd exponential half logistic-G, which is a linear combination of the exponential-G family of distributions. The family of distributions can handle heavy-tailed data and has non-monotonic hazard rate functions. We also conducted a simulation study to assess the performance of the proposed model. Real data examples are provided to demonstrate the usefulness of the proposed model in comparison with several other existing models.
Nonlinear interferometers in quantum optics

We review the main works in the field of nonlinear interferometers, which has been developing ever since the start of nonlinear optics and has seen growing interest in recent years due to the applications in quantum information and quantum metrology. Because the class of schemes that are referred to as nonlinear interferometers is too broad, we restrict the consideration to the cases in which crystals, fibers, or atomic systems producing the nonlinear effect are placed inside the interferometer, and only linear phase shifts are imposed. As a nonlinear effect, we consider four-wave mixing and parametric down-conversion, at both low and high gain.
VALIDATION OF QUALITY CULTURE FRAMEWORK PROPOSED FOR LIBYAN MANUFACTURING COMPANIES: LEADERSHIP VARIABLE

The paper validates the Leadership variable of the quality management system (QMS) framework proposed for Libyan manufacturing companies. Five Libyan companies participated in the validation process, and followed the implementation process for a period of six months. Self-assessment had been designed based on literature reviews and author previous researches. Pre-implementation leadership values obtained in this study less than 50% of the Malcolm Baldrige National Quality Award scores (MBNQA), these scores reflect the need to concentrate on both senior leadership and governance and societal responsibilities to improve the leadership criterion. The leadership values obtained six months after-implementation ranges from 33 to 58%. Four companies have an effective systematic approach which is responsive to the basic requirements of the leadership item, and their position in leadership item is equivalent to companies who are in the early stages of deployment. Meanwhile, one company has an effective systematic approach which is well developed and responsive to the requirements of leadership item.
Pedestrian detection in thermal and color images using a new combination of saliency network and Faster R-CNN

: Pedestrian detection has been an important topic of research due to its increasing demand in the surveillance based applications. Thermal and color images are used to detect pedestrian under di ff erent illumination conditions. Recently people have used saliency maps to augment the images as an attention mechanism. This work employs di ff erent saliency based networks to evaluate their performances when used for augmentation and to determine the kind of saliency networks which derive better results in combination with Faster R-CNN. It also proposes an enhanced version of the KAIST multispectral dataset with corrected and extended set of annotations for both color and thermal channels separately. Pixel-level annotations for saliency networks are also proposed for thermal and color channels separately by using a subset of KAIST dataset. A detailed analysis of the saliency network performance is presented in terms of precision, recall, F-measure and mean absolute error. A new metric “region-level F-measure” is introduced to study the e ffi cacy of saliency networks while used for augmentation. This work also presents the best combinations of saliency network and Faster R-CNN detector for both thermal and color channels maintaining a trade-o ff between detection performance and computation speed. The proposed detectors outperform existing detectors of similar type.
Graphene Implanted Shape Memory Polymers with Dielectric Gene Dominated Highly Efficient Microwave Drive

Microwave‐driven strategy shows many advantages including selective energization, uniform heating, and high penetration depth, which is a hot topic in wireless actuators. Understanding microwave stimulus‐response mechanisms is the key to developing universal construction strategies for advanced microwave‐driven actuators. Herein, reduced graphene oxide (rGO) with specified dielectric genes and thermal properties is implanted into the shape memory polymer, liquid crystal elastomer (LCE) as an example, to construct soft, reversible, and sensitive microwave actuators. Based on the analysis of microstructure and dielectric properties, LCE‐rGO composites exhibit excellent polarization relaxation‐dominated dielectric loss and electromagnetic (EM) energy conversion ability. The maximum dielectric loss factor (ε″) and loss tangent (tan δe) of LCE‐rGO are dramatically increased by 216% and 87.5% compared to pure LCE, respectively, and the optimum apparent energy harvest efficiency is 19.4 times higher than that of LCE. In addition, the implantation of rGO significantly lowers the microwave actuation threshold of LCE‐rGO composites and reinforces their stimulus‐response capacity. Response time under 750 W microwave irradiation of LCE‐rGO is shortened to <10s. These findings can provide a solid basis for the design and fabrication of highly efficient microwave stimuli‐responsive polymers and enlighten a new approach to wireless actuated smart devices.
Evaluation and Control of Pain in Clinical Settings

Background: Pain is a subjective and an unpleasant sensory and emotional experience associated with actual or potential tissue damage or injury. It can also occur without actual tissue damage, even though the patient refers to it. Pain is a conscious experience, an interpretation of the nociceptive input influenced by memories, emotional, pathological, genetic, and cognitive factors. Pain promotes defensive action and future avoidance behaviour, which requires associating defensive behaviour with resultant changes in pain. Pain has been a predominant health concern for mankind since the dawn of recorded history, and pain control is one of the cardinal objectives of the practice of medicine. It is the most common symptom of disease reported to physicians; more than 80 % of all patients who present to hospitals and clinics do so because of pain. Pain affects the general health, psychological health, social and economic well-being of an individual. The annual cost of uncontrolled chronic pain in the general population is in amount of hundreds of billions of dollars. Objective: The work discussed the evaluation tools and protocols, strategies for pain control, and future therapeutic drug targets for pain and analgesia. Method: The literature search used for the narrative review employed electronic databases in the search for relevant research articles, and they included scopus, pubmed, medline, google scholar, and the directory of open access journals. Others were the use of standard textbooks and the review of references of identified journal articles. Articles on pain and analgesia were identified and reviewed for selection. The keywords used in the search were: ‘’Pain evaluation, Pain assessment, Pain control, Pharmacotherapy of pain, Pain management, Types and characteristics of pain, Aetiology/ Cause of pain, Classification of pain, Severity of pain, Measurement of pain intensity, Pain evaluation tools, and Novel therapeutic drug targets for pain’’. The exclusion criteria used, included articles not written in English and those articles that hinged the clinical management of pain on herbal and alternative medicines (e.g., acupuncture, homeopathy etc.). Result: One hundred and ninety-seven works, ranging from published journal articles to non-journal articles were identified. A total of 82 research works, monographs and textbooks were selected. The works were extracted and reviewed after screening of the titles and abstracts, and in compliance with the inclusion/ selection criteria. Conclusions: Clinical pain is a serious public health concern. Pain evaluation is a multi-strategic observational assessment of a patients’ pain experience. The tools (self-report, behavioural and physiological) for pain evaluation have been demonstrated to be clinically effective in assessing acute pain. Pain evaluation is crucial and clinically useful for an effective and successful pain management. Pharmacotherapy is a critical component in the clinical management of pain, including acute, chronic and acute-on-chronic pain.
An Efficient Face Recognition using Feature Filter and Subspace Projection Method

Over the past years, various face recognition technique have been developed and applied to authentication and surveillance. Among them, the most popular face recognition method is based on the principal component analysis (PCA) and linear discriminant analysis (LDA) method. PCA captures the sub-space to maximize scatter of data and LDA captures the sub-space to maximize between scatter of data and minimize with -in scatter of data.Since PCA (1) and LDA (2, 3) method, however, project fea-tures onto the linear subspaces, their computational time de-pends on the dimension of features and the number of linear subspaces. Therefore, in the large-scale high-dimensional fea-ture database, the PCA and LDA based system spend too much time on their projection and distance computation.In this paper, we propose an efficient face recognition meth-od using cascade feature filter and subspace projection. The main difference between feature filter and subspace projection are described on the Fig. 1. Since the feature filter approach selects only the relevant features, the computational time of distance measure between images can be reduced, but it loses the infor-mation of entire structure. On the other hand, the subspace projection approach maintains the information of entire struc-
Constraint density functional calculations for multiplets in a ligand-field applied to Fe-phthalocyanine

Multiplets in a ligand-ﬁeld are treated within total-energy density functional calculations by imposing density matrix constraints on the d -orbital occupation numbers consistent with the local site and state symmetries. We demonstrate the utility of this approach for the case of isolated Fe phthalocyanine (FePc) molecules with overall D 4 h symmetry: We ﬁnd three stationary states of 3 E g , 3 A 2 g , and 3 B 2 g symmetries of the Fe 2+ ion and total energy calculations clearly demonstrate that the ground state is 3 A 2 g . By contrast, a columnar stacking of the FePc molecules ( α -FePc) is found to change the ground state to 3 E g due to hybridization between adjacent molecules.
New parametric Measures of Entropy

Then Shannon [6] obtained the function (2) For measuring the uncertainty or Entropy of the probability distribution. After this foundation of development of information theory and its great application and introduction of other generalized measure of one parametric entropy by A.Renyi(1961)[5],Kapur [4], introduced generalized one parametric entropy in 1967.In 1994,Kapur [4] defined two-two parametric measure of entropy and corresponding directed divergence. In this paper we have introduced some two and three parametric measures of entropy.
Surviving Laurel Richardson’s Whirlwinds: “Being With” Loss and Grief

This essay responds to Laurel Richardson’s book, A Story of a Marriage through Dementia and Beyond: Love in a Whirlwind, and to her poetry, “For Better or Worse,” which is included in this issue of International Review of Qualitative Research. The author describes how she is affected by the poetic and story forms of telling. Through reading and rereading, analyzing and interpreting these texts, she notes parallels between her and Laurel's experiences of loss and how they story their sorrow. Laurel’s descriptions resonate with her, reminding her of her own grief and providing a feeling of companionship--that we are all in this together. She suggests that reading and writing about loss as well as “being with” others in their sorrows can move us to incorporate grief and suffering into our lives without falling into an abyss of sadness, depression, and meaninglessness.
Disasters Happen: Identifying Disaster Management Needs of Cooperative Extension System Personnel

Disasters are deeply affecting communities and economies in the United States, and the role of Cooperative Extension in disaster management efforts continues to grow. We surveyed University of California Extension personnel to identify existing disaster management programs and future needs. We found that about one third of our respondents had been involved in preparing for, responding to, or helping communities recover from disasters. Respondents experienced having a variety of needs related to disaster preparedness and response systems, procedures, materials and equipment, and educational materials. Our findings revealed a critical need for program and professional development around disaster management for Cooperative Extension personnel.
Wavelet Analysis and its Applications to Pattern Recognition

In this paper we will describe some of the research done in using wavelet transforms for pattern recognition at the Centre for Research in Pattern Recognition and Machine Intelligence at Concordia University. This includes road signs recognition, face detection and recognition, oriental characters recognition, hand-written numerals and characters, image compression, and image de-noising, etc. We have developed a new metric called the Hellinger-Kakutani metric for measuring the distance between two descriptors for classification. This metric is filter-invariant, hence can be used on noisy images.
Effects of Antioxidant Supplementation on Graves’ Disease: A Meta-Analysis

Objective. The main objective of this study is to evaluate the clinical efficacy of antithyroid drugs combined with antioxidant supplementation represented by selenium in the treatment of Graves’ disease. Methods. Relevant randomized controlled trials (RCTs) were searched in PubMed, MEDLINE, Embase, the Cochrane Library databases, and the Chinese Medical Association. The search was conducted from the time of library construction to December 20, 2022. Three writers gradually examined, evaluated, and graded the literature and then used RevMan 5.3 to analyze the data and develop conclusions. Results. A total of seven papers were screened according to the search requirements. The results showed that free triiodothyronine (FT3) (WMD = −2.29, 95% CI: −3.55 to −1.02, P = 0.0004 ), free thyroxine (FT4) (WMD = −0.62, 95% CI: −1.05 to −0.18, P = 0.0005 ), thyrotropin receptor antibody (TRAb) (WMD = −1.31, 95% CI: −1.63 to −0.99, P < 0.00001 ), and thyroid peroxidase antibody (TPOAb) (WMD = −9.8, 95% CI: −16.57 to −3.03, P = 0.005 ) in the observation group (selenium supplementation combined with antithyroid drugs) were significantly lower than those in the control group (antithyroid drugs combined with or without placebo). In addition, selenium supplementation can increase serum selenium (WMD = 33.29, 95% CI: 30.7 to 35.87, P < 0.00001 ), selenoprotein levels (WMD = 1.3, 95% CI: 0.8 to 1.8, P < 0.00001 ), and blood lipid levels (WMD = 32.3, 95% CI: 17.87 to 46.74, P < 0.0001 ). It cannot be excluded that the process of selenium supplementation treatment will affect the patient’s lipid levels. Conclusion. Selenium is a trace mineral that is crucial for human health. In patients with Graves’ disease, the use of antithyroid medications along with selenium supplementation can considerably enhance thyroid function. It has the potential to drastically lower TPOAb and TRAb levels as well as FT3 and FT4 levels, which is crucial for the treatment, recovery, and prognosis of hyperthyroid patients. Further research is required to determine whether the impact of antioxidant supplementation on blood lipids will restrict the use of this medication.