bluuebunny/crossref_metadata_2025 huggingface dataset:
The Effects of Center-near and Center-distance Multifocal Contact Lenses on Peripheral Defocus and Visual Acuity
Authors: Hair Lea A. , Steffensen Elaine M. , Berntsen David A.
Published: August 2021

SIGNIFICANCE

Multifocal contact lenses (MFCLs) are being used clinically for myopia control. Center-distance designs caused myopic changes in defocus across the retina that varied by lens design, whereas the center-near design caused peripheral hyperopic changes. Multifocal lenses caused reductions in low-contrast vision that varied by lens design, affecting visual performance.

PURPOSE

The purpose of this study was to compare changes in defocus with four MFCLs, three center-distance and one center-near.

METHODS

Two cohorts of 25 nonpresbyopic myopic adults were enrolled. The first cohort was fitted with Proclear D and Biofinity D MFCL (center-distance, +2.50 D add), and the second cohort was fitted with NaturalVue MFCL (center-distance) and Clariti 1-Day MFCL (center-near, high add), both in random order. Overrefraction was performed to maximize visual acuity. Cycloplegic autorefraction was performed with each lens and without a lens along the line of sight and at nasal and temporal retinal locations out to 40°. Data were analyzed with repeated-measures ANOVAs with post hoc t tests, when indicated.

RESULTS

Changes in defocus at each location differed between MFCL designs (lens by location; both, P < .001). Clariti 1-Day caused peripheral hyperopic retinal changes (40 and 30° nasal, and 20, 30, and 40° temporal; all, P < .05). NaturalVue MFCL caused myopic changes centrally and hyperopic changes at 40° nasal and 30° temporal (all, P < .05). The remaining center-distance designs caused myopic changes at multiple locations (all, P < .05).

CONCLUSIONS

After overrefraction, the center-near MFCL design caused hyperopic defocus at multiple peripheral locations, which is not hypothesized to slow myopia progression. NaturalVue MFCL caused myopic changes in defocus centrally but hyperopic changes in the far periphery. Biofinity D and Proclear D caused myopic changes in retinal defocus. Further work is warranted to determine whether defocus profile differences between the center-distance designs influence any slowing of myopia progression.
Social Media Guidelines for Young Plastic Surgeons and Plastic Surgery Training Programs
Authors: Hamilton Kristy L. , Kim Roy , Savetsky Ira L. , Avashia Yash J. , Maricevich Renata , Rohrich Rod J.
Published: August 2021

Social media are a powerful tool that creates a unique opportunity for the young plastic surgeon and trainee to share content, brand oneself, educate the public, and develop one’s own professional voice early. The majority of all plastic surgery programs and particularly those that are highly ranked have social media opportunities for their residents, yet clear rules to guide implementation of social media programming in residency have remained unspecified. These guidelines and pitfalls can be used to inform a productive and professional entry into plastic surgery social media use for the resident and young plastic surgeon. Details regarding specific platform use to maximize exposure are provided. The core principles of patient safety and privacy, authentic photography, plastic surgery education and advocacy, and professionalism inform these guidelines. Pitfalls include establishment of an online physician-patient relationship, engaging in debate by means of online reviews, providing medical entertainment, and engaging in non–plastic surgery politics. Use of these guidelines will allow the young plastic surgeon and trainee to succeed by means of social media platforms in an ethical and professional manner.
Bringing Your Idea to the Market: A Primer for Plastic Surgeons
Authors: Manolidis Spiros , Mentz James A. , Davis Matthew J. , Abu-Ghname Amjed , Chu Carrie K. , Buchanan Edward P. , Winocour Sebastian
Published: August 2021

The progress of biotechnology, medical instruments, and applied sciences contributes to a rapidly expanding space for the advancement of the medical field. Surgeons experience first-hand the limitations of current medical devices and thus have unique insight into problems that could be solved with new products. The process of turning an idea into a product capable of success in the marketplace, however, is often unfamiliar to surgeons. The authors seek to illuminate this process and provide an ordered list of tasks that can make bringing ideas to market more achievable for surgeons. The first step in this process is the generation and protection of a new idea. Next, the process of making an idea into a product is outlined. This phase involves team assembly, business planning, and product development. Market research and valuation are key to understanding how a product can be applied in the market, and meticulous research during this phase allows for informed decision-making that will help secure funding down the road. Finally, various options for financing are discussed and compared to help surgeon-entrepreneurs find an option that best fits their project, and steps to maximize leverage are described. The development of new products can be a complicated process for surgeons. Organized into four phases, with ordered instructional steps to advance through each phase, the process of bringing an idea to the market is clarified. Facilitating this process will possibly contribute to the continual improvement of medical and surgical abilities through the introduction of new devices and technologies.
Thumb Carpometacarpal Arthritis Surgery: The Patient Experience
Authors: Hawken Jessica B. , Yousaf Imran S. , Sanghavi Kavya K. , Higgins James P. , Giladi Aviram M. , Means Kenneth R.
Published: August 2021

Background:

Patients with symptomatic recalcitrant thumb carpometacarpal arthritis often undergo surgery. Although most surgical patients do well, the authors anticipated that a substantial portion of their thumb carpometacarpal surgery patients would have unsatisfactory experiences and express unmet expectations, dissatisfaction, and regret, regardless of surgical procedure performed. The authors hypothesized those experiences would correlate with patient-reported outcomes scores.

Methods:

The authors identified patients who had undergone trapeziectomy alone or with ligament reconstruction 1 to 4 years previously for primary thumb carpometacarpal arthritis. One hundred twelve patients completed Quick Disabilities of the Arm, Shoulder and Hand and visual analogue scale pain, expectations, satisfaction, and regret questionnaires.

Results:

More than 40 percent of patients expected to “return to normal” after surgery for pain, strength, and/or function. Including all patients, 7, 19, and 11 percent had unmet expectations for improvement in pain, strength, and function, respectively. Twelve percent expressed dissatisfaction with their outcome. Although just 4 percent regretted undergoing surgery, 13 percent would likely not recommend the procedure to someone they care about. There were no statistically significant differences for any patient-reported outcomes between trapeziectomy-alone (n = 20) and trapeziectomy with ligament reconstruction (n = 92). Visual analogue scale and Quick Disabilities of the Arm, Shoulder and Hand questionnaire scores were both moderately correlated with expectations being met for pain, strength, and function and for satisfaction with surgical outcome.

Conclusions:

Patients’ thumb carpometacarpal surgical experiences vary considerably. Many express dissatisfaction or a lack of expectations met with the two most common procedures. A thorough understanding and review of expectations preoperatively may be uniquely pertinent for these patients. Further research should determine predictors and potentially modifiable factors for unsatisfactory outcomes.
Cerebral Perfusion Imaging for Intravenous Thrombolysis Treatment
Authors: Slawski, MD Diana E. , Albers, MD Gregory W.
Published: August 2021

Intravenous thrombolysis is the cornerstone of acute ischemic stroke treatment. However, the benefits of recanalization and reperfusion must be balanced against the risk of intracranial hemorrhage. Time from symptom onset was previously the most important selection tool for identifying patients who would benefit from treatment without prohibitive risk for secondary hemorrhage. Enhanced techniques in noncontrast computed tomography followed by computed tomography and magnetic resonance perfusion imaging led to the expansion of treatment eligibility for intravenous thrombolysis. Perfusion imaging allows for more precise evaluation of tissue at-risk to identify patients who would benefit from treatment many hours beyond symptom onset.
A New and Tidier Setting
Authors: Camino Julieta , Kishita Naoko , Trucco Ana P. , Khondoker Mizanur , Mioshi Eneida
Published: August 2021

Background:

The relationship between the physical environment and the person with dementia’s (PwD) activities of daily living (ADLs) task performance is controversial. Although the general assumption is that this population benefits from their home environment when performing ADLs, very few experimental studies have been conducted to date.

Objectives:

The aim was to investigate the influence of the environment (home vs. Research-lab) and the role of clutter on ADL performance.

Methods:

Sixty-five PwD were evaluated with a performance-based ADL assessment (at home and clutter-free Research-lab). Paired t tests compared ADL performance and level of clutter in both environments. Multiple regression analysis investigated factors associated with better ADL performance.

Results:

Overall, PwD performed better at home even though clutter was significantly lower in the Research-lab. When stratified by dementia stage, PwD in the moderate stage of the disease performed better at home.

Conclusion:

Absence of clutter in the Research-Lab did not appear to play a beneficial role in ADLs. When stratified by dementia stage, only PwD in the moderate stage appeared to benefit from their home environment when performing ADL tasks. Future studies are required to elucidate the wider role of the environment in supporting engagement in daily activities in different dementia stages.
Outcome Measures for Dementia With Lewy Body Clinical Trials
Authors: Patel Bhavana , Irwin David J. , Kaufer Daniel , Boeve Bradley F. , Taylor Angela , Armstrong Melissa J.
Published: August 2021

Background:

Dementia with Lewy bodies (DLB) is one of the most common degenerative dementias. Clinical trials for individuals with DLB are increasing. We aimed to identify commonly used outcome measures for trials in DLB.

Methods:

A pragmatic literature search of PubMed and clinicaltrials.gov identified interventional studies including populations with DLB. Studies were included if they enrolled participants with DLB and met the National Institutes of Health criteria for a clinical trial. Data were collected using standardized forms. Outcome measures were categorized according to core and supportive features of DLB.

Results:

After de-duplication, 58 trials were identified. The most common cognitive outcome measures were the Mini Mental State Examination (n=24) and Cognitive Drug Research computerized Assessment System (n=5). The Clinician’s Assessment of Fluctuations was the most commonly used measure for fluctuations (n=4). Over half of studies used the Neuropsychiatric Inventory to assess behavioral symptoms (n=31). The Unified Parkinson’s Disease Rating Scale was frequently used for motor assessment (n=23).

Conclusions and Relevance:

Clinical trial outcomes used in DLB are rarely validated in this population and some lack face validity. There is a need to validate existing scales in DLB and develop DLB-specific outcome measures.
Ruminococcoides bili gen. nov., sp. nov., a bile-resistant bacterium from human bile with autolytic behavior
Authors: Molinero Natalia , Conti Elena , Sánchez Borja , Walker Alan W. , Margolles Abelardo , Duncan Sylvia H. , Delgado Susana
Published: August 2021

A strictly anaerobic, resistant starch-degrading, bile-tolerant, autolytic strain, IPLA60002T, belonging to the familyRuminococcaceae, was isolated from a human bile sample of a liver donor without hepatobiliary disease. Cells were Gram-stain-positive cocci, and 16S rRNA gene and whole genome analyses showed thatRuminococcus bromiiwas the phylogenetically closest related species to the novel strain IPLA60002T, though with average nucleotide identity values below 90 %. Biochemically, the new isolate has metabolic features similar to those described previously for gutR. bromiistrains, including the ability to degrade a range of different starches. The new isolate, however, produces lactate and shows distinct resistance to the presence of bile salts. Additionally, the novel bile isolate displays an autolytic phenotype after growing in different media. Strain IPLA60002Tis phylogenetically distinct from other species within the genusRuminococcus. Therefore, we propose on the basis of phylogenetic, genomic and metabolic data that the novel IPLA60002Tstrain isolated from human bile be given the nameRuminococcoides biligen. nov., sp. nov., within the new proposed genusRuminococcoidesand the familyRuminococcaceae. Strain IPLA60002T(=DSM 110008T=LMG 31505T) is proposed as the type strain ofRuminococcoides bili.
Data-driven Discovery of Mathematical and Physical Relations in Oncology Data using Human-understandable Machine Learning
Authors: Kurz Daria , Sánchez Carlos Salort , Axenie Cristian
Published: August 2021

For decades, researchers have used the concepts of rate of change and differential equations to model and forecast neoplastic processes. This expressive mathematical apparatus brought significant insights in oncology by describing the unregulated proliferation and host interactions of cancer cells, as well as their response to treatments. Now, these theories have been given a new life and found new applications. With the advent of routine cancer genome sequencing and the resulting abundance of data, oncology now builds an “arsenal” of new modeling and analysis tools. Models describing the governing physical laws of tumor-host-drug interactions can be now challenged with biological data to make predictions about cancer progression. Our study joins the efforts of the mathematical and computational oncology community by introducing a novel machine learning system for data-driven discovery of mathematical and physical relations in oncology. The system utilizes computational mechanisms such as competition, cooperation, and adaptation in neural networks to simultaneously learn the statistics and the governing relations between multiple clinical data covariates. Targeting an easy adoption in clinical oncology, the solutions of our system reveal human-understandable properties and features hidden in the data. As our experiments demonstrate, our system can describe nonlinear conservation laws in cancer kinetics and growth curves, symmetries in tumor’s phenotypic staging transitions, the pre-operative spatial tumor distribution, and up to the nonlinear intracellular and extracellular pharmacokinetics of neoadjuvant therapies. The primary goal of our work is to enhance or improve the mechanistic understanding of cancer dynamics by exploiting heterogeneous clinical data. We demonstrate through multiple instantiations that our system is extracting an accurate human-understandable representation of the underlying dynamics of physical interactions central to typical oncology problems. Our results and evaluation demonstrate that using simple - yet powerful - computational mechanisms, such a machine learning system can support clinical decision making. To this end, our system is a representative tool of the field of mathematical and computational oncology and offers a bridge between the data, the modeler, the data scientist, and the practising clinician.
The utility of a closed breeding colony of Peromyscus leucopus for dissecting complex traits
Authors: Long Phillip N , Cook Vanessa J , Majumder Arundhati , Barbour Alan G , Long Anthony D
Published: August 2021

Although Peromyscus leucopus (deermouse) is not considered a genetic model system, its genus is well suited for addressing several questions of biologist interest, including the genetic bases of longevity, behavior, physiology, adaptation, and it’s ability to serve as a disease vector. Here we explore a diversity outbred approach for dissecting complex traits in Peromyscus leucopus, a non-traditional genetic model system. We take advantage of a closed colony of deer-mice founded from 38 individuals between 1982 and 1985 and subsequently maintained for 35+ years (∼40-60 generations). From 405 low-pass (∼1X) short-read sequenced deermice we accurately imputed genotypes at 17,751,882 SNPs. Conditional on observed genotypes for a subset of 297 individuals, simulations were conducted in which a QTL contributes 5% to a complex trait under three different genetic models. The power of either a haplotype- or marker-based statistical test was estimated to be 15-25% to detect the hidden QTL. Although modest, this power estimate is consistent with that of DO/HS mice and rat experiments for an experiment with ∼300 individuals. This limitation in QTL detection is mostly associated with the stringent significance threshold required to hold the genome-wide false positive rate low, as in all cases we observe considerable linkage signal at the location of simulated QTL, suggesting a larger panel would exhibit greater power. For the subset of cases where a QTL was detected, localization ability appeared very desirable at ∼1-2Mb. We finally carried out a GWAS on a demonstration trait, bleeding time. No tests exceeded the threshold for genome-wide significance, but one of four suggestive regions co-localizes with Von Willebrand factor. Our work suggests that complex traits can be dissected in founders-unknown P. leucopus colony mice in much the same manner as founders-known DO/HS mice and rats, with genotypes obtained from low pass sequencing data. Our results further suggest that the DO/HS approach can be powerfully extended to any system in which a founders-unknown closed colony has been maintained for several dozen generations.
Diet-induced modifications to human microbiome reshape colonic homeostasis in irritable bowel syndrome
Authors: Pearl Ayelet , Bootz Hadar , Melzer Ehud , Sharon Efrat , Abuchatzera Shlomi , Amidror Sivan , Aretz Elana , Shoval Irit , Yaron Orly , Malnick Stephen , Yissachar Nissan
Published: August 2021

Changes in microbiome composition have been associated with a wide array of human diseases, turning the human microbiota into an attractive target for therapeutic intervention. Yet clinical translation of these findings requires the establishment of causative connections between specific microbial taxa and their functional impact on host tissues. Here, we colonized gut organ cultures with longitudinal microbiota samples collected from newly-diagnosed and therapy-naïve irritable bowel syndrome (IBS) patients under low-FODMAP (fermentable Oligo-, Di-, Mono- saccharides and Polyols) diet. We show that post-diet microbiota regulates intestinal expression of inflammatory and neuro-muscular gene-sets. Specifically, we identify Bifidobacterium adolescentis as a diet-sensitive pathobiont that alters tight junction integrity and disrupts gut barrier functions. Collectively, we present a unique pathway discovery approach for mechanistic dissection and identification of functional diet-host-microbiota modules. Our data support the hypothesis that the gut microbiota mediates the beneficial effects of low-FODMAP diet, and reinforce the potential feasibility of microbiome based-therapies in IBS.
Multiple Channel Electrocardiogram QRS Detection by Temporal Pattern Search
Authors: Hopenfeld Bruce
Published: August 2021

A highly constrained temporal pattern search (“TEPS”) based multiple channel heartbeat detector is described. TEPS generates sequences of peaks and statistically scores them according to: 1) peak time coherence across channels; 2) peak prominence; 3) temporal regularity; and 4) number of skipped beats. TEPS was tested on 31 records of three channel capacitive electrode data from the UnoViS automobile database. TEPS showed a sensitivity (SE) of 91.3% and a false discovery rate (FDR) of 3.0% compared to an SE and FDR of 75.3% and 65.0% respectively for a conventional single channel detector (OSEA) applied separately to the three channels. The peak matching window was 30ms. The percentage of 5 second segments with average heart rates within 5 beats/minute of reference was also measured. In 6 of the 31 records, TEPS’ percentage was at least 30% greater than OSEA’s. TEPS was also applied to synthetic data comprising a known signal corrupted with calibrated amounts of noise. At a fixed SE of 85%, increasing the number of channels from one to two resulted in an improvement of approximately 5dB in noise resistance, while increasing the number of channels from two to four resulted in an improvement of approximately 3dB in noise resistance. The quantification of noise resistance as a function of the number of channels could help guide the development of wearable electrocardiogram monitors.
Point set registration for assembly feature pose estimation using simulated annealing nested Gauss-Newton optimization
Authors: Chen Kunyong , Zhao Yong , Wang Jiaxiang , Xing Hongwen , Dong Zhengjian
Published: August 2021

Purpose

This paper aims to propose a fast and robust 3D point set registration method for pose estimation of assembly features with few distinctive local features in the manufacturing process.

Design/methodology/approach

The distance between the two 3D objects is analytically approximated by the implicit representation of the target model. Specifically, the implicit B-spline surface is adopted as an interface to derive the distance metric. With the distance metric, the point set registration problem is formulated into an unconstrained nonlinear least-squares optimization problem. Simulated annealing nested Gauss-Newton method is designed to solve the non-convex problem. This integration of gradient-based optimization and heuristic searching strategy guarantees both global robustness and sufficient efficiency.

Findings

The proposed method improves the registration efficiency while maintaining high accuracy compared with several commonly used approaches. Convergence can be guaranteed even with critical initial poses or in partial overlapping conditions. The multiple flanges pose estimation experiment validates the effectiveness of the proposed method in real-world applications.

Originality/value

The proposed registration method is much more efficient because no feature estimation or point-wise correspondences update are performed. At each iteration of the Gauss–Newton optimization, the poses are updated in a singularity-free format without taking the derivatives of a bunch of scalar trigonometric functions. The advantage of the simulated annealing searching strategy is combined to improve global robustness. The implementation is relatively straightforward, which can be easily integrated to realize automatic pose estimation to guide the assembly process.
Application of the ANP in the interview phase of air traffic controller candidate selection process
Authors: Özdemir Mustafa , Sagir Mujgan
Published: August 2021

Purpose

This paper investigates the interview examination applied during the admission process of air traffic controller (ATCO) candidates. This paper aims to select the most appropriate candidates by minimizing any shortcomings of the process.

Design/methodology/approach

ATCOs have a very important role in the air traffic system. They are responsible for ensuring the safe, regular and rapid flow of aircraft traffic. They carry out this challenging task by monitoring the aircraft under their responsibility and by giving instructions to the pilots when necessary. So the selection of ATCO candidates is of critical importance. This process is usually conducted through multistage examinations. It is a critical issue to use correct methods in the selection process to identify the most suitable candidates. Besides, the application of subjective examination in a standard way and standardization of criteria can assist in selecting the right candidates. Within this context, the analytic network process (ANP) and the rating method are used. The weights of the selection criteria are calculated by the ANP, and the candidates are evaluated by the rating method according to the defined criteria.

Findings

39 candidates were ranked using the ANP, and the rankings obtained by the ANP and the current system were compared. The ANP rankings were also compared with the results of a previous study conducted by analytic hierarchy process (AHP). The results indicate that using the ANP yields consistent results with those obtained from the AHP in terms of the rankings.

Research limitations/implications

ATCOs are one of the most important operators in air transport system. They undertake critical tasks where even a small error may cause serious consequences. Therefore, selecting the appropriate candidate is an important first step in training qualified staff. The authors believe that this study will contribute to the training of more qualified ATCOs. On the other hand, the approach about the use of ANP method on the interview examination and the standardization of the criteria can provide insight into improving interview process in different area.

Originality/value

To the best of the authors’ knowledge, this is the first study that presents an ANP-based methodology for the selection process of ATCOs and the interview process.
PSO and GA tuned conventional and fractional order PID controllers for quadrotor control
Authors: Saribas Hasan , Kahvecioglu Sinem
Published: August 2021

Purpose

This study aims to compare the performance of the conventional and fractional order proportional-integral-derivative (PID and FOPID) controllers tuned with a particle swarm optimization (PSO) and genetic algorithm (GA) for quadrotor control.

Design/methodology/approach

In this study, the gains of the controllers were tuned using PSO and GA, which are included in the heuristic optimization methods. The tuning processes of the controller’s gains were formulated as optimization problems. While generating the objective functions (cost functions), four different decision criteria were considered separately: integrated summation error (ISE), integrated absolute error, integrated time absolute error and integrated time summation error (ITSE).

Findings

According to the simulation results and comparison tables that were created, FOPID controllers tuned with PSO performed better performances than PID controllers. In addition, the ITSE criterion returned better results in control of all axes except for altitude control when compared to the other cost functions. In the control of altitude with the PID controller, the ISE criterion showed better performance.

Originality/value

While a conventional PID controller has three parameters (Kp, Ki, Kd) that need to be tuned, FOPID controllers have two additional parameters (µ). The inclusion of these two extra parameters means more flexibility in the controller design but much more complexity for parameter tuning. This study reveals the potential and effectiveness of PSO and GA in tuning the controller despite the increased number of parameters and complexity.
Numerical investigation of critical lip thickness of subsonic co-flowing jet
Authors: R. Naren Shankar , V.G. Ganesan , N. Dilip Raja , K. Sathish Kumar , K. Vijayaraja
Published: August 2021

Purpose

The effect of increasing lip thickness (LT) and Mach number on subsonic co-flowing Jet (CFJ) decay at subsonic and correctly expanded sonic Mach numbers has been analysed experimentally and numerically in this study. This study aims to a critical LT below which mixing enhances and above which mixing inhibits.

Design/methodology/approach

LT is the distance, separating the primary nozzle and the secondary duct, present in the co-flowing nozzle. The CFJ with LT ranging from 2 mm to 150 mm at jet exit Mach numbers of 0.6, 0.8 and 1.0 were studied in detail. The CFJ with 2 mm LT is used for comparison. Centreline total pressure decay, centreline static pressure decay and near field flow behaviour were analysed.

Findings

The result shows that the mixing enhances until a critical limit and a further increase in the LT does not show any variation in the jet mixing. Beyond this critical limit, the secondary jet has a detrimental effect on the primary jet, which deteriorates the process of mixing. The CFJ within the critical limit experiences a significantly higher mixing. The effect of the increase in the Mach number has marginal variation in the total pressure and significant variation in static pressure along the jet axis.

Practical implications

In this study, the velocity ratio (VR) is maintained constant and the bypass ratio (BR) was varied from low value to very high values for subsonic and correctly expanded sonic. Presently, commercial aircraft engine operates under these Mach numbers and low to ultra-high BR. Hence, the present study becomes essential.

Originality/value

This is the first effort to find the critical value of LT for a constant VR for a Mach number range of 0.6 to 1.0, compressible CFJ. The CFJs with constant VR of unity and varying LT, in these Mach number range, have not been studied in the past.
Best practices for implementing industrialized construction projects: lessons from nine case studies
Authors: Wuni Ibrahim Yahaya , Shen Geoffrey Qiping , Darko Amos
Published: August 2021

Purpose

Industrialized construction (IC) leverages manufacturing principles and innovative processes to improve the performance of construction projects. Though IC is gaining popularity in the global construction industry, studies that establish the best practices for implementing IC projects are scarce. This study aims to benchmark practical lifecycle-based best practices for implementing IC projects.

Design/methodology/approach

The study used a qualitative research design where nine IC cases from Australia, Singapore and Hong Kong were analysed to identify best practices. The methodological framework of the study followed well-established case study research cycle and guidelines, including planning, data collection, data analysis and reflection on findings.

Findings

The study identified and allocated key considerations, relevant stakeholders, best practices, typical deliverables and best indicators to the different construction lifecycle phases of IC projects. It also developed a lifecycle-based framework of the best practices for IC projects.

Practical implications

The study provides practitioners with practical insight into how best to effectively implement, manage and evaluate the performance of the IC project lifecycle phases. The proposed framework can serve as a practical diagnostic tool that enables project partners to evaluate the performance upfront progressively and objectively in each project lifecycle phase, which may inform timely corrective actions.

Originality/value

The study’s novelty lies in developing a framework that identifies and demonstrates the dynamic linkages among different sets of best practices, typical outputs and best practice indicators across the IC project lifecycle phases.
Labour remuneration in the healthcare sector of Ukraine in terms of decent work concept
Authors: Tsymbaliuk Svitlana , Shkoda Tetiana
Published: August 2021

Purpose

High European standards of life quality are declared in a set of legislative documents in Ukraine, but the rewarding policy for the healthcare employees because of the coronavirus disease 2019 (COVID-19) disease remains not fully implemented. The purpose of the study is to develop indicators, standards and methods of assessing rewarding policies for healthcare employees in terms of providing decent labour remuneration that are useful for all stakeholders of the healthcare sector in Ukraine.

Design/methodology/approach

The study proposes the methodical foundations of developing evaluation tools of rewarding policies for implementing the decent work concept at the sectoral level.

Findings

The findings identify the complex indicator of decent labour remuneration in the healthcare sector in Ukraine, which is 0.185. It proves that the level of the decent labour remuneration of the healthcare employees in Ukraine is at the low level.

Practical implications

The study provides the important recommendations for all policymakers in the healthcare sector in different countries in the context of diagnosing the problems in the rewarding policies and determining the directions for improvement in terms of implementation of the decent work principles.

Originality/value

By proposing and calculating the main methodical foundations of evaluation tools development of rewarding policies in the context of realisation of the decent work concept at the sectoral level, the study fills a void in the decent labour remuneration and the labour economics theory literature.
Dusty hybrid nanofluid flow over a shrinking sheet with magnetic field effects
Authors: Waini Iskandar , Ishak Anuar , Pop Ioan , Nazar Roslinda
Published: August 2021

Purpose

This paper aims to examine the Cu-Al2O3/water hybrid nanofluid flow over a shrinking sheet in the presence of the magnetic field and dust particles.

Design/methodology/approach

The governing partial differential equations for the two-phase flow of the hybrid nanofluid and the dust particles are reduced to ordinary differential equations using a similarity transformation. Then, these equations are solved using bvp4c in MATLAB software. The bvp4c solver is a finite-difference code that implements the three-stage Lobatto IIIa formula. The numerical results are gained for several values of the physical parameters. The effects of these parameters on the flow and the thermal characteristics of the hybrid nanofluid and the dust particles are analyzed and discussed. Later, the temporal stability analysis is used to determine the stability of the dual solutions obtained as time evolves.

Findings

The outcome shows that the flow is unlikely to exist unless satisfactory suction strength is imposed on the shrinking sheet. Besides, the heat transfer rate on the shrinking sheet decreases with the increase of . However, the increase in and lead to enhance the heat transfer rate. Two solutions are found, where the domain of the solutions is expanded with the rising of, and. Consequently, the boundary layer separation on the surface is delayed in the presence of these parameters. Implementing the temporal stability analysis, it is found that only one of the solutions is stable as time evolves.

Originality/value

The dusty fluid problem has been widely studied for the flow over a stretching sheet, but only limited findings can be found for the shrinking counterpart. Therefore, this study considers the problem of the dusty fluid flow over a shrinking sheet containing Cu-Al2O3/water hybrid nanofluid with the effect of the magnetic field. In fact, this is the first study to discover the dual solutions of the dusty hybrid nanofluid flow over a shrinking sheet. Also, further analysis shows that only one of the solutions is stable as time evolves.
Gender socialization – an inhibitor of potential in capable poor urban women: a review on capability perspective in Malaysia
Authors: Gopal Parthiban S. , Sathyanarayanan Gayathri
Published: August 2021

Purpose

The purpose of this paper is to scrutinize the severe impact on the abilities of urban poor women such as education skills, entrepreneurship qualities, employment skills, creative abilities and social skills, as they face many challenges like inequitable access to work and unacceptable living conditions influenced by an underlying mind-set in the society driven by gender socialization. Though there have been changes in the way we perceive the abilities of urban poor women from being a homemaker to participating in employment and access to education, one cannot deny that discrimination and bias based on gender socialization still exists in the society.

Design/methodology/approach

This paper uses secondary data through a systematic review where the inclusion criteria were framed on the basis of relevance, credibility and heterogeneity. However, as this is a concept paper, the study is bereft of empirical data.

Findings

In most cases, the ability and potential of women, such as educational skills, entrepreneurship qualities, employment skills, creative abilities and social skills, go unnoticed or, more often, not taken into consideration. Predominantly influenced by gender roles, not all abilities and skills are associated with women; this kind of labelling process refers to gender socialization. Ongoing in society for a long time to an extent, it has been accepted consciously or subconsciously by men and women. As a result, urban poor women, in particular, are further deprived of their capabilities, directly affecting their personal growth and economic status.

Originality/value

Poverty affects men, women, boys and girls, but it is experienced differently by people of different ages, ethnicities, family roles and sex. Moreover, due to women’s biology, social and cultural gender roles and culturally constructed subordination, they are labelled with specific roles dictated by various social agents; This labelling process refers to gender socialization. As a result, capable women with untapped skills, abilities and potential to learn, work, earn, play and develop are ignored or suppressed; hence, they go unnoticed, further intensifying poverty among poor urban women.
Determinants of juvenile crime: evidence from India
Authors: Hazra Devika
Published: August 2021

Purpose

Using data from 2009–2016 across 31 states and union territories, this paper investigates determinants of juvenile delinquency in India as well as explores the nature of the complex relationship between economic variables and crime rate.

Design/methodology/approach

The paper employs a panel corrected standard error model due to the presence of heteroskedasticity and contemporaneous correlation. Additionally, due to possible feedback effect from independent variables resulting in endogeneity, a two-step generalized method of moments (GMM) is utilized to estimate a system of equations.

Findings

Estimation results indicate that macroeconomic factors – GSDP per capita and adult unemployment rate – are significant in explaining the juvenile crime rate in India. Higher poverty rate and percentage of slums were found to increase juvenile crime. This paper also demonstrates the harmful effects that domestic violence has on juvenile delinquency. Finally, education has a deterring impact on crimes relating to juveniles but deterrence factors do not.

Originality/value

While some implications are consistent with those found in previous studies of crime in developed and developing countries, the analysis in this paper also reveals unique results. For example, the adult unemployment rate was negatively correlated with juvenile crime, and an increase in police density exhibits a positive association with the juvenile crime rate. Further analysis of crimes by type (property and violent) reveals additional insights. In addition to that, contrary to hypothesis, by employing GMM estimation, the paper finds no evidence of a negative impact of juvenile delinquency on economic growth.
Analysis of enterprise risk management practices in Malaysianwaqfinstitutions
Authors: Yakob Rubayah , Bangaan Abdullah Mohd Hafizuddin-Syah , Yakob Sajiah , Yakob Nooraida , Md. Razali Nurul Hidayah , Mohamad Hairolanuar
Published: August 2021

Purpose

This study aims to assess enterprise risk management (ERM) practices inwaqfinstitutions (WIs) along with their strengths and weaknesses; highlight ERM trends in WIs; and determine the best ERM practices for these institutions.

Design/methodology/approach

Data were collected via structured interviews with nine WI managers in Malaysia. A standardised questionnaire was adopted for the interviews, which focussed on ERM implementation in WIs. The collected data were analysed in three steps, namely, data reduction, data display and verification/conclusion. The frequency distribution of these data were then illustrated and the mean values and differences of the studied groups/variables were examined.

Findings

WIs have a sub-optimal ERM implementation, whose aspects need to be improved over time. These institutions have focussed on their ERM practices at the strategic level yet ignored those at the operational level. Specifically, WI officers have well-defined internal environments and objectives, but risk monitoring, which ensures effective implementation of ERM, is lacking. The presence of risk management committees and units may be linked with the successful implementation of ERM. However, ERM knowledge and top management support do not show clearly associations with ERM implementation. WIs should focus on improving their ERM implementation governance.

Research limitations/implications

Findings underscore the need for WIs to launch a formal ERM programme and for relevant stakeholders to create the appropriate infrastructures that support ERM implementation, including amended rules, ERM policies and allocated funds for training and education, to promote ERM implementation knowledge and awareness. The successful implementation of ERM not only improves the service quality, sustainability and performance of WIs but also promotes the nationalwaqfagenda as a key economic driver.

Originality/value

ERM in non-profit organisations, such as WIs, has received limited research attention relative to that in profit-driven organisations despite having unique risks. To the best of the knowledge, this study is the first to identify those trends that explain ERM practices and to determine the ERM best practices of WIs.
Remote support to victims of violence against women and domestic violence during the COVID-19 pandemic
Authors: Caridade Sónia Maria Martins , Saavedra Rosa , Ribeiro Rita , Oliveira Ana Cristina , Santos Manuela , Almeida Iris Sofia , Soeiro Cristina
Published: August 2021

Purpose

This paper aims to characterize the type of support provided to victims of violence against women and domestic violence (VAWDV) during the first lockdown, assessing the training of professionals to use remote support (RS).

Design/methodology/approach

This cross-sectional study involves a sample of 196 support professionals, mainly women (91.8%) and who integrate the Portuguese National Support Network for victims of domestic violence (NSNVDV) (Mean age = 36.49; SD = 10.52).

Findings

Telephone emerges as the main RS communication media used in the lockdown (43.9%) and the emergency state periods (57.1%). Participants reported to have never used any social applications (41.8% vs 41.8%) or videoconference (46.4% vs 58.2%), in both periods assessed, i.e. lockdown and emergency state, respectively, and 82.7% assumed to have no training with RS to assist VAWDV victims. However, support professionals recognized several advantages in using RS such as dealing with isolation, reducing inhibition, fear and shame and in promoting the victims’ empowerment.

Research limitations/implications

Given the exploratory nature of this study, only descriptive analyzes were conducted.

Originality/value

During the COVID-19 pandemic, little is known about effective RS given by professionals to victims of VAWDV in the Portuguese context. The paper aims to add knowledge to the studied field.
Improving awareness of energy conservation: Rocky Mountain City
Authors: Keller Sarah , Otjen A.J. , McNally Mary , Wilkinson Timothy J. , Dockery Brenda , Leonard Jennifer , Southworth Hayley
Published: August 2021

Purpose

The purpose of this research project was to improve public awareness to improve public awareness of the importance of energy conservation and to improve the use of simple conservation strategies. A thorough evaluation of the net gain from the numerous energy campaigns rolled out to the public every year is lacking. This study conducted pre- and post-campaign surveys and focus groups to evaluate one campaign’s impact on self-reported energy behaviors.

Design/methodology/approach

The campaign used television public service announcements and a website to improve awareness of the city’s efforts to conserve energy and to increase individual energy conservation practices. Focus groups (n = 40) were used to identify common barriers to conservation, and pre- and post-surveys (n = 533, 479) were conducted to evaluate the campaign’s effectiveness.

Findings

Results indicated that the campaign increased positive changes in changing light bulbs and confidence in taking action to turn down thermostats, unplug devices and turn off lights. While follow-up research is needed on the precise mechanism of the psychological process at work, the findings are consistent with the concepts of self and response efficacy as needed components of any behavior change. The authors advocate the adoption of research-informed message design to maximize communication campaign effects.

Originality/value

This paper demonstrates how the combination of three prominent persuasion theories can be used to develop behavior change campaigns. Also, it is one of the few studies to evaluate the effectiveness of the Energy Star campaign.
Towards a political theory of data justice: a public good perspective
Authors: Kwok Chi , Chan Ngai Keung
Published: August 2021

Purpose

This study aims to develop an interdisciplinary political theory of data justice by connecting three major political theories of the public good with empirical studies about the functions of big data and offering normative principles for restricting and guiding the state’s data practices from a public good perspective.

Design/methodology/approach

Drawing on three major political theories of the public good – the market failure approach, the basic rights approach and the democratic approach – and critical data studies, this study synthesizes existing studies on the promises and perils of big data for public good purposes. The outcome is a conceptual paper that maps philosophical discussions about the conditions under which the state has a legitimate right to collect and use big data for public goods purposes.

Findings

This study argues that market failure, basic rights protection and deepening democracy can be normative grounds for justifying the state’s right to data collection and utilization, from the perspective of political theories of the public good. The state’s data practices, however, should be guided by three political principles, namely, the principle of transparency and accountability; the principle of fairness; and the principle of democratic legitimacy. The paper draws on empirical studies and practical examples to explicate these principles.

Originality/value

Bringing together normative political theory and critical data studies, this study contributes to a more philosophically rigorous understanding of how and why big data should be used for public good purposes while discussing the normative boundaries of such data practices.