Miracle-dz/UniFAR-FTUs huggingface dataset:
Stakeholders’ perceptions on the functionality and sustainability of selected industrial development zones (IDZs) in South Africa

The article evaluates stakeholders’ perceptions of the functionality and sustainability of selected industrial development zones (IDZs) in South Africa, including the COEGA IDZ, the country’s largest, and the East London IDZ, the country’s most productive. The study followed a qualitative research design with structured interviews with IDZ stakeholders in the Eastern and Western Cape. The findings lean towards relatively positive perceptions but highlighted the need for more government support to ensure sustainable economic contributions. Challenges such as limited electricity supply (load shedding), lack of public service delivery, and inadequate government management must be addressed for the sustainability of existing IDZs and the establishment of new ones. The study also raises concerns about IDZs’ links to local businesses and their ability to meet local community needs through employment opportunities. The findings provide valuable insights into IDZs in a developing country, serving as a basis to enhance industrialisation in Africa through the efficient management of such zones.
Optimizing Deep Neural Networks for Face Recognition to Increase Training Speed and Improve Model Accuracy

Convolutional neural networks are constantly evolving to achieve higher accuracy in solving different problems; as a result, the computational cost and model size increase. This paper presents a new method for pruning face recognition models based on convolutional neural networks. Our proposed approach identi�es and removes ineffective �lters based on the volume of the information in feature maps. In each layer, some feature maps do not have information, and there exists a correlation between some feature maps. Filters related to these two feature categories impose additional computational costs on the model; by removing the �lters related to these two categories of feature maps, we can reduce the computational cost and size of the model. Our proposed approach uses the combination of correlation and the sum of matrix elements of each feature map to identify and remove ine�cient �lters. We used two face recognition models with the backbone architecture of VGG16 and ResNet50V2. In the proposed method, the number of removed �lters in each layer will be �oating, and the removed �lters in each layer are independent of the layers before and after them. We initialize the convolutional layers of both backbones with pre-trained weights from ImageNet. We train the proposed algorithm on the CASIA-WebFace dataset and utilize the LFW dataset for benchmarking purposes. In the face recognition model based on VGG16 architecture, we achieved a 1.74% improvement in accuracy while reducing the convolution parameters by 26.85% and decreasing FLOPs by 47.96%. In the case of the face recognition model using ResNet50V2 architecture, we implemented the ArcFace method. Removing inactive �lters in this model decreased accuracy by 0.11%. However, this resulted in increased training speed, a reduction of 59.38% in convolution parameters, and a decrease of 57.29% in FLOPs.
The Paraffin Crystallization in Emulsified Waxy Crude Oil by Dissipative Particle Dynamics

With the advancement of oilfield extraction technology, since oil-water emulsions in waxy crude oil are prone to be deposited on the pipe wall, increasing the difficulty of crude oil extraction. In this paper, the mesoscopic dissipative particle dynamics method is used to study the mechanism of the crystallization and deposition adsorbed on the wall. The results show that in the absence of water molecules, the paraffin molecules near the substrate are deposited on the metallic surface with a horizontal morphology, while the paraffin molecules close to the fluid side are arranged in a vertical column morphology. In the emulsified system, more water molecules will be absorbed on the metallic substrate than paraffin molecules, which obstructed the direct interaction between paraffin molecules and solid surface. Therefore, the addition of water molecules hinders the crystallization of wax near the substrate. Perversely, on the fluid side, water molecules promote the formation of paraffin crystallization. The research in this paper reveals the crystallization mechanism of paraffin wax in oil-water emulsions in the pipeline from the microscopic scale, which provides theoretical support for improving the recovery of wax-containing crude oil and enhancing the transport efficiency.
Building Land Markets in the Asia Pacific Region

Land markets attract wide participation, all over the globe. Market activities receive intense analysis from economists and bankers, investors and developers, and they interest millions of people. Meanwhile, how to build a land market remains a mystery. Those countries that achieved effective modern land markets have the benefit of well run land administration systems. These systems therefore offer the key to building a market.
Quantum Commuting Circuits and Complexity of Ising Partition Functions

Abstract Instantaneous quantum polynomial-time (IQP) computation is a class of quantum computation consisting only of commuting two-qubit gates and is not universal in the sense of standard quantum computation. Nevertheless, it has been shown that if there is a classical algorithm that can simulate IQP efficiently, the polynomial hierarchy (PH) collapses at the third level, which is highly implausible. However, the origin of the classical intractability is still less understood. Here we establish a relationship between IQP and computational complexity of the partition functions of Ising models. We apply the established relationship in two opposite directions. One direction is to find subclasses of IQP that are classically efficiently simulatable in the strong sense, by using exact solvability of certain types of Ising models. Another direction is applying quantum computational complexity of IQP to investigate (im)possibility of efficient classical approximations of Ising models with imaginary coupling constants. Specifically, we show that there is no fully polynomial randomized approximation scheme (FPRAS) for Ising models with almost all imaginary coupling constants even on a planar graph of a bounded degree, unless the PH collapses at the third level. Furthermore, we also show a multiplicative approximation of such a class of Ising partition functions is at least as hard as a multiplicative approximation for the output distribution of an arbitrary quantum circuit.
School Rules Discipline: A Narrative Study on Elementary School Students in Martapura City

This study aims to describe how elementary school children exercise discipline in holding temporary desires and himmah in realizing desires. In describing it, researchers use the basic theory of Good (1959) and supporting theories from Hartati (2010) and Haidar (2013) which define discipline as self-control in an effort to resist momentary desires and the use of desires and abilities. Researchers use a qualitative approach with narrative design. Participants were taken from grade 5 elementary school students with the condition that they met the predetermined participant criteria. In taking data, researchers use interview techniques with reference to interview guidelines that have been made.The results showed that: (1) Elementary school age children are still at a concrete operational stage which leads to a rudimentary state of thought and emotional stability. Children are only able to think logically about abstract objects around them. External influences are very easy to enter the mind and change its movements. The usual influences received by elementary-age children such as skipping school, smoking, and the habit of staying up late. (2) Desire and ability are two things that are interrelated and influence. Desire is related to the goals to be achieved when the child grows up. While ability is related to the facilities available. A child's goals are influenced by two things: personal experience and external encouragement. Meanwhile, ability is influenced by school policies that encourage school literacy.
Lay Health Advisors : Promoting Cancer Screening and Reducing Disparities Professional issues

Dany M. Hilaire, RN, BSN, is a hematology/oncology nurse at Brigham and Women’s Hospital and a doctoral student in the College of Nursing and Health Sciences at the University of Massachusetts, both in Boston. The author takes full responsibility for the content of the article. The author did not receive honoraria for this work. No financial relationships relevant to the content of this article have been disclosed by the author or editorial staff.
The Effect of the COVID-19 Pandemic on the Factors Influencing Iranian Medical Residents’ Specialty Selection: A Qualitative Study

Background: Medical students’ specialty selection influences the composition of the physician workforce and the effectiveness of health systems. Therefore, the identification of factors that influence the choice of specialty is critical for an evidence-based health policy. This study aimed to investigate the effect of the Coronavirus Disease 2019 (COVID-19) pandemic on the determinants of specialty choice among Iranian medical residents. Methods: In early 2022, this qualitative study was conducted among Iranian medical residents in seven provinces, including Tehran, Isfahan, Fars, Khorasan Razavi, Kerman, Kermanshah, and Khuzestan. The participants were selected using a purposeful sampling method. Data were collected using 74 semi-structured in-depth face-to-face interviews. Finally, a thematic content analysis (conventional content analysis) method was applied for data synthesis. Results: The participant’s mean age was 28.7±2.5 years, and more than 52% (N=39) were men. Following data synthesis, 10 sub-themes and four main themes were identified, including educational aspects affected by the pandemic, career-related hazards, personal and professional lifestyles affected by the disease, and experiences and beliefs regarding the pandemic. Conclusion: The COVID-19 pandemic has had a significant impact on medical students’ educational, professional, and personal aspects of specialty choices. This study demonstrated how the disease affected the choice of specialty. Therefore, the findings could be used by national health policy and planning.
The Association of Diet Quality Indices with Metabolic Syndrome Components: A PERSIAN Cohort Study in Fasa, Iran

Background: Metabolic syndrome (MetS) is a significant health concern both in developed and developing countries. This cohort Prospective Epidemiological Research Study in Iran (PERSIAN) aimed to determine the association of diet quality, assessed by the Healthy Eating Index-2015 (HEI-2015) and Mediterranean Diet Score (MDS), with MetS components among individuals with MetS in Fasa, southern Iran . Methods: In this cross-sectional study, 907 individuals with MetS aged 35-65 years were recruited from the Fasa PERSIAN Cohort Study, Fasa, Iran. The National Cholesterol Education Program Adult Treatment Panel III (ATP III) and Iranian National Committee of Obesity criteria were used to define MetS. A 125-item food frequency questionnaire was employed to evaluate dietary intake. The association between the quartiles of dietary scores and MetS components analyzed by Multivariate linear regression with the backward method. Results: The mean age of the individuals (67.3% female) was 48.75±8.22 years. After adjusting for
Prior aﬀinity measures on matches for ICP-like nonlinear registration of free-form surfaces

In this paper, we show that several well-known nonlinear surface registration algorithms can be put in an ICP-like framework, and thus boil down to the successive estimation of point-to-point correspondences and of a transformation between the two surfaces. We pro-pose to enrich the ICP-like criterion with additional constraints and show that it is possible to minimise it in the same way as the original formulation, with only minor modiﬁcations in the update formulas and the same convergence properties. These constraints help the al-gorithm to converge to a more realistic solution and can be encoded in an afﬁnity term between the points of the surfaces to register. This term is able to encode both a priori knowledge and higher order geometrical information in a uniﬁed manner. We illustrate the high added value of this new term on synthetic and real data.
Generic project definitions for improvement of health care delivery

Background: The purpose of this article is to create actionable knowledge, making the deﬁnition of process improvement projects in health care delivery more effective. Methods: This study is a retrospective analysis of process improvement projects in hospitals, facilitating a case-based reasoning approach to project deﬁnition. Data sources were project documentation and hospital-performance statistics of 271 Lean Six Sigma health care projects from 2002 to 2009 of general, teaching, and academic hospitals in the Netherlands and Belgium. Results: Objectives and operational deﬁnitions of improvement projects in the sample, analyzed and structured in a uniform format and terminology. Extraction of reusable elements of earlier project deﬁnitions, presented in the form of 9 templates called generic project deﬁnitions. These templates function as exemplars for future process improvement projects, making the selection, deﬁnition, and operationalization of similar projects more efﬁcient. Each template includes an explicated rationale, an operationalization in the form of metrics, and a prototypical example. Thus, a process of incremental and sustained learning based on case-based reasoning is facilitated. Conclusions: The quality of project deﬁnitions is a crucial success factor in pursuits to improve health care delivery. We offer 9 tried and tested improvement themes related to patient safety, patient satisfaction, and business-economic performance of hospitals.
The current state of knowledge about shatter cones: Introduction to the special issue

Shatter cones are a fracture phenomenon that is exclusively associated with shock metamorphism and has also been produced in the laboratory in several shock experiments. The occurrence of shatter cones is the only accepted meso‐ to macroscopic recognition criterion for impact structures. Shatter cones exhibit a number of geometric characteristics (orientation, apical angles, striation angles, sizes) that can be best described as varied, from case to case. Possible links between geometric properties with impact or crater parameters have remained controversial and the lack of understanding of the mechanism of formation of shatter cones does not offer a physical framework to discuss or understand them. A database of shatter cone occurrences has been produced for this introduction paper to the special issue of Meteoritics and Planetary Science on shatter cones. Distribution of shatter cones with respect to crater size and lithology suggests that shatter cones do not occur in impact craters less than a few kilometers in diameter, with a few, currently questionable exceptions. All pertinent hypotheses of formation are presented and discussed. Several may be discarded in light of the most recent observations. The branching fracture mechanism and the interference models proposed, respectively, by Sagy et al. (2002) and Baratoux and Melosh (2003) require further evaluation. New observations, experiments, or theoretical considerations presented in this special issue promise an important step forward, based on a renewed effort to resolve the enigmatic origin of these important features.
DEMOGRAPHIC CHARACTERISTICS, LEADERSHIP STYLES, JOB ATTITUDES AND PERSONALITY AS PREDICTORS OF JOB PERFORMANCE AMONG CIVIL SERVANTS IN SOUTHWEST NIGERIA

This purpose of this study was to investigate the predictive influence of demographic characteristics, leadership styles, job attitudes and personality on job performance among civil servants in Southwest Nigeria. The sample consists of 400 civil servants (males = 275, females = 125) randomly selected from Southwestern Nigeria. Measures of demographic form, leadership styles, job attitudes, personality and job performance were administered to the civil servants. Data collected were analysed using multiple regression analysis. Results of the study showed that job performance had a significant predictive relationship with leadership styles, demographic characteristics, job attitudes and personality - a strong relationship of job performance and neuroticism, openness to experience and agreeableness among the civil servants. Based on the findings, it was recommended that government and private organisations should ensure that employees have the opportunity for training and development so as to enhance job performance in organisations.
Passive Energy Recapture in Jellyfish Contributes to Propulsive Passive Energy Recapture in Jellyfish Contributes to Propulsive Advantage over other Metazoans Advantage over other Metazoans

Gelatinous zooplankton populations are well known for their ability to take over perturbed ecosystems. The ability of these animals to outcompete and functionally replace ﬁ sh that exhibit an effective visual predatory mode is counterintuitive because jelly ﬁ sh are described as inef ﬁ cient swimmers that must rely on direct contact with prey to feed. We show that jelly ﬁ sh exhibit a unique mechanism of passive energy recapture, which is exploited to allow them to travel 30% further each swimming cycle, thereby reducing metabolic energy demand by swimming muscles. By accounting for large interspeci ﬁ c differences in net metabolic rates, we demonstrate, contrary to prevailing views, that the jelly ﬁ sh ( Aurelia aurita ) is one of the most energetically ef ﬁ cient propulsors on the planet, exhibiting a cost of transport (joules per kilogram per meter) lower than other metazoans. We estimate that reduced metabolic demand by passive energy recapture improves the cost of transport by 48%, allowing jelly ﬁ sh to achieve the large sizes required for suf ﬁ cient prey encounters. Pressure calculations, using both computational ﬂ uid dynamics and a newly developed method from empirical velocity ﬁ eld measurements, demonstrate that this extra thrust results from positive pressure created by a vortex ring underneath the bell during the re ﬁ lling phase of swimming. These results demonstrate a physical basis for the ecological success of medusan swimmers despite their simple body plan. Results from this study also have implications for bioinspired design, where low-energy propulsion is required.
Journal of Business & Leadership: Research, Practice, and Journal of Business & Leadership: Research, Practice, and Teaching (2005-2012) Teaching (2005-2012)

Despite ext~1~sive scholarsl~ip on the subject of board control, the scandals of recent years suggest the need to reVIStt our assumptwns - and our theories - regarding alternative board control mechanisms. This study uses an _exploratory factor analysis comparing firms that successfully or unsuccessfully avoided governance fatlure and the onset of crisis to assess the consistency of board stmctures. Results indicate that ther~ is some c~nsistency among the successful firms, but that in genera/no common structural form can be ltnked to either success or failure. Thus, general rules cannot be relied upon, and a context specific approach to govemance should be developed.
Towards a robust HDR imaging system

High dynamic range (HDR) images can show more details and luminance information in general display device than low dynamic image (LDR) images. We present a robust HDR imaging system which can deal with blurry LDR images, overcoming the limitations of most existing HDR methods. Experiments on real images show the effectiveness and competitiveness of the proposed method.
Examensarbete The Importance of Flow for Secondary School Students’ Experiences in Geometry

This article is intended to contribute to greater knowledge regarding the importance of flow and the time used to perform an activity, with a focus on students’ mathematical experiences of 3D bodies. Thirty-one 9th-grade students took part in the study. Flow and variation theory was used in the analysis of lesson observations, submission tasks, audio recordings, logbooks, tests and nationwide tests. The results indicate that the selected mathematics problem is characterised by seven components, which serve as the basis for identifying intended critical aspects; a variation is evident in the balance between skills and challenges that is characterised by the critical aspects that the students discern; a variation is evident in the experience of flow that is dependent upon the students’ approach to their work on various activities; the students’ mathematical experiences are based, both short-and long-term, on discerned critical aspects and on the time spent on the activity that generates flow. Theoretical contributions as well as implications for teaching are presented at the end of the article.
Daytime and Nighttime Seat Belt Use at Selected Sites in New Mexico

Observational surveys of seat belt use were conducted at 108 observation sites across New Mexico during both daytime and nighttime hours. Belt use at night measured 6.2 percentage points lower than daytime. Belt use was related to sex, vehicle type, road type and population density. Increasing seat belt usage among occupants traveling at night could substantially lessen injury and fatality rates among passenger vehicle occupants.
A Convex Approximation for Optimal DER Scheduling on Unbal-anced Power Distribution Networks

The increase of solar photovoltaic penetration poses several challenges for distribution network operation, mainly because such high penetration might cause reliability problems like protection malfunctioning, accelerated decay of voltage regulators and voltage violations. Some control strategies avoid such drawbacks at the cost of not fully exploiting the available energy. Existing solutions based on mathematical programming solve a 3-phase ACOPF to optimally exploit the available energy, however, this might increase all reliability problems above if done carelessly. As a solution to optimally exploit DERs (like local photovoltaic and storage systems) without compromising the network reliability, this paper presents a novel algorithm to solve the 3-phase ACOPF as a sequence of convex Quadratically Constrained Quadratic Programs. Results show that this solution has a lower voltage unbalance and computation time than its non-linear counterpart, furthermore, it converges to a primal feasible point for the non-linear formulation without major sacrifices on optimal DER active power injections.
UNF Digital Commons UNF Digital Commons

Current research on factors predicting self-harm focus on disparate factors and may not be able to comprehensively explain the mechanisms causing self-harm. The aim of the current study was to examine factors that may be related yet independently predict self-harm. Factors discussed include rumination, self-criticism, and working memory. A binary logistic regression found that the only factor that predicted the presence of self-harming behavior was a high level of self-criticism. Further, a Classification and Regression Tree found that the single strongest predictor of self-harming behavior was a belief that love needs to be continually earned from others. Our findings have implications for improving the efficacy of interventions aimed at preventing self-harm, which traditionally have been ineffective. Treatments incorporating ways to reduce self-criticism, such as a focus on improving self-compassion with Compassionate Mind Training, may address underlying mechanisms that can trigger self-harm behavior.