bluuebunny/crossref_metadata_2025 huggingface dataset:
Sheet and void porous media models for brain interstitial space
Authors: Nicholson Charles
Published: August 2023

The interstitial space (ISS) component of brain extracellular space resembles an unconsolidated porous medium. Previous analysis of the diffusion of small molecules in this domain shows that the typical porosity is 0.2 and typical tortuosity 1.6. An ensemble of cubic cells separated by uniform sheets of ISS cannot generate the measured tortuosity, even if some of the tortuosity value is attributed to interstitial viscosity, so more complex models are needed. Here two models are analysed: the corner cubic void (CCV) and the edge tunnel void (ETV). Both models incorporate dead spaces formed from local expansions of the ISS to increase geometrical tortuosity. Using Monte Carlo simulation of diffusion it is found that in the range of normal porosities, the square of the tortuosity is a linear function of the ratio of void to sheet volumes for the CCV model and this model can generate the experimentally observed tortuosities. For abnormally high porosities, however, the linear relation fails. The ETV model shows a quartic functional relation and can only generate the observed tortuosity if interstitial viscosity is present. The CCV model is used to analyse the recently described changes in porosity between asleep and awake brain states.
Biosynthesized silver nanoparticles for electrochemical detection of bromocresol green in river water
Authors: Zahran Moustafa , Beltagi Amr Mohamed , Rabie Mahmoud , Maher Reham , Hathoot Abla Ahmed , Azzem Magdi Abdel
Published: August 2023

In this study, silver nanoparticles (AgNPs)-based electrochemical sensor has been reported for assessing bromocresol green (BG) in river water. Firstly, AgNPs were greenly produced using the aqueous extract of
Ficus sycomorus
leaves. Then, the AgNP-modified glassy carbon (GC) electrode was prepared using the sticking method. AgNPs were characterized using transmission electron microscope (TEM), X-ray diffraction (XRD), square wave voltammetry (SWV) and scanning electron microscope (SEM). TEM and SEM were used for determining the size of AgNPs before and after adsorption, respectively. The results show that there was an increase in AgNP size from 20 to 30 nm. Additionally, XRD was used for characterizing the crystal nature of AgNPs, while SWV exhibited a characteristic oxidation peak of AgNPs at 0.06 V. Moreover, cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS) were used for characterizing the catalytic effect of AgNPs. BG as a targeted pollutant was detected at AgNPs/GC based on its oxidation through proton and electron transfer. Two peaks corresponding to the monomer and polymer oxidation were detected. The monomer- and polymer-based sensors have revealed a linear range of 2.9 × 10
−5
to 2.1 × 10
−4
mole l
−1
and low detection limits (LODs) of 1.5 × 10
−5
and 1.3 × 10
−5
mole l
−1
, respectively.
Parameter estimation from aggregate observations: a Wasserstein distance-based sequential Monte Carlo sampler
Authors: Cheng Chen , Wen Linjie , Li Jinglai
Published: August 2023

In this work, we study systems consisting of a group of moving particles. In such systems, often some important parameters are unknown and have to be estimated from observed data. Such parameter estimation problems can often be solved via a Bayesian inference framework. However, in many practical problems, only data at the aggregate level is available and as a result the likelihood function is not available, which poses a challenge for Bayesian methods. In particular, we consider the situation where the distributions of the particles are observed. We propose a Wasserstein distance (WD)-based sequential Monte Carlo sampler to solve the problem: the WD is used to measure the similarity between the observed and the simulated particle distributions and the sequential Monte Carlo samplers is used to deal with the sequentially available observations. Two real-world examples are provided to demonstrate the performance of the proposed method.
Physiological and biochemical characterization of biochar-induced resistance against bacterial wilt of eggplants
Authors: Ahmad Chaudhry Ali , Haider Muhammad Saleem , Akhter Adnan
Published: August 2023

The abrupt variation in climatic patterns has become a global concern in terms of food security. Biochar, known to ameliorate climatic adversities by sequestering carbon and activating systemic resistance pathways in plants, has become increasingly relevant. Therefore, the study was aimed to characterize leaf waste biochar (LWB) by Fourier-transform infrared spectroscopy, scanning electron microscopy with energy dispersive X-ray (SEM-EDX) and X-ray diffraction analytical techniques as well as determination of its impact on the development of bacterial wilt (BW) in eggplant (
Solanum melongena
) caused by
Ralstonia solanacearum
(RS). The effect of LWB on the physiology and defence-associated biochemistry of eggplants was investigated thoroughly. Eggplants either inoculated (+RS) or uninoculated (-RS) were cultivated in potting mixture containing 3 and 6% (v/v) LWB separately. In comparison with substrate (soil only), percentage disease index was significantly reduced (71%) in plants grown in 6% LWB-amended treatments. Biochar-induced increase in level of total chlorophyll content as well as in biochemicals such as phenolics, flavonoids and peroxidases were evident on plants in terms of resistance response against BW. Moreover, biochar also significantly affected the level of NPK in the eggplants. In conclusion, biochar-triggered biochemical alterations played a pivotal role in the management of BW along with the curing of the disease-infested soils.
Numerical analysis and experimental verification of optical scattering from microplastics
Authors: Genc Sinan , Icoz Kutay , Erdem Talha
Published: August 2023

Accurate and fast characterization of the micron-sized plastic particles in aqueous media requires an in-depth understanding of light interaction with these particles. Due to the complexity of Mie scattering theory, the features of the scattered light have rarely been related to the physical properties of these tiny objects. To address this problem, we reveal the relation of the wavelength-dependent optical scattering patterns with the size and refractive index of the particles by numerically studying the angular scattering features. We subsequently present a low-cost setup to measure the optical scattering of the particles. Theoretical investigation shows that the angular distribution of the scattered light by microplastics carries distinct signatures of the particle size and the refractive index. The results can be used to develop a portable, low-cost setup to detect microplastics in water.
Case Report: Kingella kingae causing prosthetic joint infection in an adult
Authors: Wensley Katherine , McClelland Damian , Grocott Natalie , Manoharan Gopikanthan , Desai Seema
Published: August 2023

Introduction.

Kingella kingae

is a Gram-negative micro-organism that is rarely isolated as a pathogen in the adult population. Although widely reported to affect prosthetic heart valves, there have been no previously reported cases of

K. kingae

infecting prosthetic joints in adults.

Case Presentation. A 61-year-old patient with a history of rheumatoid arthritis presented with insidious onset of pain and swelling in her right shoulder, which had progressed to a discharging sinus. The patient had undergone a total shoulder replacement 11 years previously and had not developed any prior post-operative infections. She had been taking anti-TNF medication for 5 years prior to review for her rheumatoid disease. The patient underwent a two-stage revision replacement procedure, including implant removal, sinus excision and debridement. Deep tissue samples grew

K. kingae

post-operatively. The patient was commenced on intravenous ceftriaxone for 14 days, followed by a further 28 days of oral ciprofloxacin. A second-stage custom shoulder replacement was undertaken 10 months following the first stage and the patient made a good functional recovery.

Conclusion. The authors suggest that clinicians should be attuned to

K. kingae

as a potential pathogen for prosthetic joint infection, particularly in patients who are immunosuppressed. Two-stage revision procedures can ensure a favourable outcome and eradication of this pathogen from the joint. Beta lactams remain the principal antibiotic of choice.
Lateral Septal Circuits Govern Schizophrenia-Like Effects of Ketamine on Social Behavior
Authors: Wang Ruixiang , Peterson Zeru , Balasubramanian Nagalakshmi , Khan Kanza M. , Chimenti Michael S. , Thedens Daniel , Nickl-Jockschat Thomas , Marcinkiewcz Catherine A.
Published: August 2023

Schizophrenia is marked by poor social functioning that can have a severe impact on quality of life and independence, but the underlying neural circuity is not well understood. Here we used a translational model of subanesthetic ketamine in mice to delineate neural pathways in the brain linked to social deficits in schizophrenia. Mice treated with chronic ketamine (30 mg/kg/day for 10 days) exhibit profound social and sensorimotor deficits as previously reported. Using three- dimensional c-Fos immunolabeling and volume imaging (iDISCO), we show that ketamine treatment resulted in hypoactivation of the lateral septum (LS) in response to social stimuli. Chemogenetic activation of the LS rescued social deficits after ketamine treatment, while chemogenetic inhibition of previously active populations in the LS (i.e. social engram neurons) recapitulated social deficits in ketamine-naïve mice. We then examined the translatome of LS social engram neurons and found that ketamine treatment dysregulated genes implicated in neuronal excitability and apoptosis, which may contribute to LS hypoactivation. We also identified 38 differentially expressed genes (DEGs) in common with human schizophrenia, including those involved in mitochondrial function, apoptosis, and neuroinflammatory pathways. Chemogenetic activation of LS social engram neurons induced downstream activity in the ventral part of the basolateral amygdala, subparafascicular nucleus of the thalamus, intercalated amygdalar nucleus, olfactory areas, and dentate gyrus, and it also reduces connectivity of the LS with the piriform cortex and caudate-putamen. In sum, schizophrenia-like social deficits may emerge via changes in the intrinsic excitability of a discrete subpopulation of LS neurons that serve as a central hub to coordinate social behavior via downstream projections to reward, fear extinction, motor and sensory processing regions of the brain.
Phosphorylation-Dependent Association of WRN with RPA is Required for Recovery of Replication Forks Stalled at Secondary DNA Structures
Authors: Noto Alessandro , Valenzisi Pasquale , Fratini Federica , Kulikowicz Tomasz , Sommers Joshua A. , Feo Flavia Di , Palermo Valentina , Semproni Maurizio , Crescenzi Marco , Brosh Robert M. , Franchitto Annapaola , Pichierri Pietro
Published: August 2023

The WRN protein mutated in the hereditary premature aging disorder Werner syndrome plays a vital role in handling, processing, and restoring perturbed replication forks. One of its most abundant partners, Replication Protein A (RPA), has been shown to robustly enhance WRN helicase activity in specific cases when testedin vitro. However, the significance of RPA-binding to WRN at replication forks in vivo has remained largely unexplored. In this study, we have identified several conserved phosphorylation sites in the acidic domain of WRN that are targeted by Casein Kinase 2 (CK2). Surprisingly, these phosphorylation sites are essential for the interaction between WRN and RPA, bothin vitroand in human cells. By characterizing a CK2-unphosphorylatable WRN mutant that lacks the ability to bind RPA, we have determined that the WRN-RPA complex plays a critical role in fork recovery after replication stress whereas the WRN-RPA interaction is not necessary for the processing of replication forks or preventing DNA damage when forks stall or collapse. When WRN fails to bind RPA, fork recovery is impaired, leading to the accumulation of single-stranded DNA gaps in the parental strands, which are further enlarged by the structure-specific nuclease MRE11. Notably, RPA-binding by WRN and its helicase activity are crucial for countering the persistence of G4 structures after fork stalling. Therefore, our findings reveal for the first time a novel role for the WRN-RPA interaction to facilitate fork restart, thereby minimizing G4 accumulation at single-stranded DNA gaps and suppressing accumulation of unreplicated regions that may lead to MUS81-dependent double-strand breaks requiring efficient repair by RAD51 to prevent excessive DNA damage.
Auditory cortical error signals retune during songbird courtship
Authors: Jones Caleb , Goldberg Jesse H.
Published: August 2023

Auditory feedback is important for vocal learning and control, but it remains unclear how the presence of an audience affects neural representations of self-produced sounds. Here we recorded neural activity in a primary auditory cortical area, Field L, in zebra finches practicing singing alone and directing courtship songs to females. We first discovered that many Field L neurons changed their singing-related discharge patterns during courtship singing, even though the auditory feedback from the bird’s own song was similar. We next used syllable-targeted distorted auditory feedback (DAF) to test how auditory error signals depend on courtship context. Though past work showed that dopamine neurons uniformly reduce error signaling during courtship, Field L neurons exhibited heterogeneous error signal re-tuning in the presence of the female. Thus, single neurons in a primary sensory area process feedback from self-produced actions differently during practice and performance.
Accurate X-ray diffraction data required for proper evaluation of bond valence sums and global instability indexes: redetermination of the crystal structures of diamond-like Cu2CdSiS4 and Cu2HgSnS4 as a case study
Authors: Treece Megan M. , Kelly Jordan C. , Rosello Kate E. , Craig Andrew J. , Aitken Jennifer A.
Published: August 2023

Our calculations of the global instability index (G) values for some diamond-like materials with the general formula I2–II–IV–VI4 have indicated that the structures may be unstable or incorrectly determined. To compute the G value of a given compound, the bond valence sums (BVSs) must first be calculated using a crystal structure. Two examples of compounds with high G values, based on data from the literature, are the wurtz–stannite-type dicopper cadmium silicon tetrasulfide (Cu2CdSiS4) and the stannite-type dicopper mercury tin tetrasulfide (Cu2HgSnS4), which were first reported in 1967 and 1965, respectively. In the present study, Cu2CdSiS4 and Cu2HgSnS4 were prepared by solid-state synthesis at 1000 and 900 °C, respectively. The phase purity was assessed by powder X-ray diffraction. Optical diffuse reflectance UV/Vis/NIR spectroscopy was used to estimate the optical bandgaps of 2.52 and 0.83 eV for Cu2CdSiS4 and Cu2HgSnS4, respectively. The structures were solved and refined using single-crystal X-ray diffraction data. The structure type of Cu2CdSiS4 was confirmed, where Cd2+, Si4+ and two of the three crystallographically unique S2− ions lie on a mirror plane. The structure type of Cu2HgSnS4 was also verified, where all ions lie on special positions. The S2− ion resides on a mirror plane, the Cu+ ion is situated on a fourfold rotary inversion axis and both the Hg2+ and the Sn4+ ions are located on the intersection of a fourfold rotary inversion axis, a mirror plane and a twofold rotation axis. Using the crystal structures solved and refined here, the G values were reassessed and found to be in the range that indicates reasonable strain for a stable crystal structure. This work, together with some examples gathered from the literature, shows that accurate data collected on modern instrumentation should be used to reliably calculate BVSs and G values.
Unpacking the role of green absorptive capacity in the relationship between green supply chain management practices and firm performance
Authors: Asamoah David , Acquah Ishmael Nanaba , Nuertey Dorcas , Agyei-Owusu Benjamin , Kumi Caleb Amankwaa
Published: August 2023

Purpose

This study examines green absorptive capacity as an important intervening variable that elucidates the relationship between green supply chain management (GSCM) practices (specifically, green purchasing, customer cooperation and investment recovery) and firm performance.

Design/methodology/approach

Drawing from the theoretical underpinnings of the natural-resource-based view theory and information processing theory, a research model is developed and tested using data obtained from 368 manufacturing firms in Ghana. Data analysis was conducted using structural equation modeling.

Findings

The results indicate that green purchasing, customer cooperation and investment recovery have a direct positive and significant effect on firm performance. Additionally, green purchasing and customer cooperation have a positive and significant effect on green absorptive capacity but investment recovery does not. Further, the results show that the paths from green purchasing and customer cooperation to firm performance are positively mediated by green absorptive capacity.

Practical implications

The study reveals to supply chain managers that green absorptive capacity is an important conduit through which firms can achieve enhanced firm performance from GSCM initiatives.

Originality/value

This study makes a contribution by integrating the absorptive capacity literature and green management literature and establishes green absorptive capacity as a mechanism through which GSCM practices enhance firm performance.
Management of environmental risks in highway construction projects in Sri Lanka
Authors: Abhayantha K.I.L. , Perera B.A.K.S. , Perera H.A.H.P. , Palliyaguru Roshani S.
Published: August 2023

Purpose

Environmental risks (ERs) are critical to any highway construction project (HCP). One of the main contracting parties responsible for ERs is the contractor. Hence, it has been crucial to look into ways to control ERs in HCPs from the contractor’s perspective. This study aims to investigate how ERs can be managed in HCP in Sri Lanka.

Design/methodology/approach

A quantitative research approach with three rounds of Delphi was used. Statistical techniques were used to analyse and validate the ERs, the parties to whom the risks were to be allocated, and risk management measures identified from the empirical data collection.

Findings

The study reveals the 11 most significant ERs for HCP. Further, the most significant ERs in HCP were mainly found to be the responsibility of contractors in Sri Lanka. Twenty-four most appropriate risk response measures were determined; 13 were found to be common measures that could be used to manage two or more risks, while the remaining 11 were unique to specific risks.

Originality/value

Overall, this research determines the most significant ERs in HCP, the best risk allocation among the parties and appropriate risk-handling strategies and measures for each significant ERs. Additionally, the study addresses the demand for ERs management in HCP.
The MSapeMER: a symmetric, scale-free and intuitive forecasting error measure for hospitality revenue management
Authors: Schwartz Zvi , Ma Jing , Webb Timothy
Published: August 2023

Purpose

Mean absolute percentage error (MAPE) is the primary forecast evaluation metric in hospitality and tourism research; however its main shortcoming is that it is asymmetric. The asymmetry occurs due to over or under forecasts that introduce bias into forecast evaluation. This study aims to explore the nature of asymmetry and designs a new measure, one that reduces the asymmetric properties while maintaining MAPE’s scale-free and intuitive interpretation characteristics.

Design/methodology/approach

The study proposes and tests a new forecasting accuracy measure for hospitality revenue management (RM). A computer simulation is used to assess and demonstrate the problem of asymmetry when forecasting with MAPE, and the new measures’ (MSapeMER, that is, Mean of Selectively applied Absolute Percentage Error or Magnitude of Error Relative to the estimate) ability to reduce it. The MSapeMER’s effectiveness is empirically validated by using a large set of hotel forecasts.

Findings

The study demonstrates the ability of the MSapeMER to reduce the asymmetry bias generated by MAPE. Furthermore, this study demonstrates that MSapeMER is more effective than previous attempts to correct for asymmetry bias. The results show via simulation and empirical investigation that the error metric is more stable and less swayed by the presence of over and under forecasts.

Research limitations/implications

It is recommended that hospitality RM researchers and professionals adopt MSapeMER when using MAPE to evaluate forecasting performance. The MSapeMER removes the potential bias that MAPE invites due to its calculation and presence of over and under forecasts. Therefore, forecasting evaluations may be less affected by the presence of over and under forecasts and their ability to bias forecasting results.

Practical implications

Hospitality RM should adopt this measure when MAPE is used, to reduce biased decisions driven by the “asymmetry of MAPE.”

Originality/value

The MAPE error metric exhibits an asymmetry problem, and this paper proposes a more effective solution to reduce biased results with two major methodological contributions. It is first to systematically study the characteristics of MAPE’s asymmetry, while proposing and testing a measure that considerably reduces the amount of asymmetry. This is a critical contribution because MAPE is the primary forecasting metric in hospitality and tourism studies. The second methodological contribution is a procedure developed to “quantify” the asymmetry. The approach is demonstrated and allows future research to compare asymmetric characteristics among various accuracy measures.
Toward suppliers' corporate social responsibility performance: the role of relationship dependence
Authors: Cao Zhi , Kim Dong-Young , Mu Yinping , Singhal Vinod
Published: August 2023

Purpose

The growing focus on socially responsible supply chain management (SRSCM) has made it crucial to extend corporate social responsibility (CSR) to upstream suppliers. Drawing on resource dependence theory, this study aims to examine how supplier dependence upon socially responsible buyers impacts suppliers' CSR performance and how this relationship is moderated by network prominence and demand uncertainty.

Design/methodology/approach

The proposed hypotheses are tested using regression analysis with Heckman's two-stage model and a dyadic supply chain dataset constructed based on publicly traded Chinese firms between 2008 and 2016. This time window is selected due to a one-year lag of the dependent variable and the change in evaluation methods of the database providing CSR performance in 2018.

Findings

The empirical results indicate that supplier dependence upon socially responsible buyers is positively associated with suppliers' CSR performance. However, this positive relationship is attenuated when suppliers occupy a prominent position in the network or when they face high demand uncertainty.

Originality/value

This study extends knowledge about the role of relationship dependence in implementing SRSCM by highlighting its positive impact on suppliers' CSR. Thus, this study contributes to the buyer–supplier relationship literature and the power and relationship dependence literature. This study further advances the understanding of the factors that influence suppliers' behavior by exploring the moderating roles of network prominence and demand uncertainty. The results have several practical implications for managers and policymakers.
It is a balancing act: understanding the key audit matters disclosure in the context of a developing country
Authors: Bepari Md. Khokan , Nahar Shamsun , Azim Mohammad Istiaq , Mollik Abu Taher
Published: August 2023

Purpose

This study aims to examine the strategies that auditors in Bangladesh follow in identifying and reporting key audit matters (KAMs). The study also examines the factors affecting auditors’ strategies in the identification and disclosures of KAMs.

Design/methodology/approach

The authors have conducted interviews with audit partners, chief financial officers (CFOs) and regulators involved in KAMs reporting and monitoring. The authors have used the lens of institutional theory of coercive, mimetic and normative isomorphism and the concept of decoupling.

Findings

Auditors have used a decoupling strategy by identifying and reporting greater number of industry-generic KAMs than that of other countries in an effort to minimize risks and avoid regulatory scrutiny, although they disclose remote risks as KAMs and mask severe problem areas of the client. Because of the principle-based approach of International Standards on Auditing (ISA) 701 and because of the pressure and misunderstanding from the audit committee, auditors report industry-generic items and generic descriptions of KAMs.

Practical implications

The findings have important implications for the standard setters and local and global audit firms for the diffusion of new auditing standards in different jurisdictions. Without the development of audit firm-level capability and the corporate governance environment, changes in standards may not be effective in achieving the objectives of the standards.

Social implications

Although auditors consider that the KAMs reporting requirements provide with opportunities to enhance audit profession’s legitimacy and public trusts, the actual KAMs reporting practices are driven by the market logic, an urge to maintain the status quo with clients and eventual rationalization of the impairment of professional independence.

Originality/value

Given the dearth of prior research on the implementation and diffusion patterns of ISA 701 KAMs reporting, this study fills the gap in the literature. To the best of the authors’ knowledge, this is the first known study to examine auditors’ strategic responses to balance among conflicting priorities in reporting KAMs.
Carbon talk: comparing top brands’ climate change objectives
Authors: McIlvaine Valerie , Dahlquist Steven , Lehnert Kevin
Published: August 2023

Purpose

Climate change and carbon emissions are top of mind in all facets of society. This study aims to investigate what the world’s top brands are saying about carbon emissions and greenhouse gases (GHG). Through this inquiry, the authors hope to better understand what brands are saying, doing and if their actions are clear. Furthermore, the authors seek to uncover practices that may deter or enhance a brand’s effectiveness in communicating its current and future initiatives.

Design/methodology/approach

Each of the world’s top 50 brands’ (Forbes, 2020 Rankings) websites were assessed using a content analysis methodology. Key constructs and themes were identified first through a broad assessment, leading to a set of parameters (content items) that were used to assess each brand’s website. The results were then summarized.

Findings

Almost all of the world’s Top 50 brands attempt to articulate their current accomplishments and goals relative to carbon emissions and GHG. Generally, carbon falls under a broader discussion of their sustainability initiatives and objectives. While extensive, information on carbon emissions possesses a variety of terms for measures and initiatives, goal setting and actions. Stakeholders may find the information to be ambiguous and of limited use.

Originality/value

There are few, if any, assessments of how major brands communicate their current and future carbon emissions initiatives. The study uncovers tendencies and provides managers with practices that may enhance the effectiveness of their brand’s carbon emissions communications.
Profound barriers to value management adoption on construction projects in a developing nation
Authors: Ojo Lekan Damilola , Ogunsemi Deji Rufus , Elyamany Ahmed , Oke Ayodeji Emmanuel
Published: August 2023

Purpose

The adoption of value management (VM) has been on the rise in the construction industry, especially in the past decade. Identifying the main barriers to VM application for ameliorating poor project outcomes in the construction industry is a critical step to overcoming its implementation. Therefore, this study aims to examine the barriers to the adoption of VM in the Nigerian construction industry (NCI) and identify the critical ones for action by construction stakeholders.

Design/methodology/approach

This study used two rounds of Delphi surveys with 15 VM experts to identify the challenges to VM adoption. The Delphi team’s data from the two surveys were analysed using descriptive statistics. The mean-mode approach was used to identify ten major barriers to VM adoption based on the consensus reached during the second round of the Delphi poll. Following that, an interrater agreement analysis and a significant level analysis were performed.

Findings

Of the 17 identified barriers hindering VM adoption on construction projects in the NCI, 10 were found to be profound after statistical analyses of the data. The significant barriers include communication gap between the client and other consultants; delay in design preparation because of VM services; the pretext that VM is being practiced in the construction industry; and the wrong perception of VM by construction professionals, among others. The findings of the analysis suggested that the lack of VM adoption in the NCI was because of inadequate knowledge of VM techniques among construction professionals. Therefore, it is advised that VM training be provided for concerned stakeholders to address the lack of VM expertise among Nigerian construction professionals.

Practical implications

This study investigated the barriers to VM adoption on construction projects in the NCI with the opinions of a few construction professionals who can be regarded as VM experts. As against obtaining large survey responses from construction professionals who may not be knowledgeable in the VM process, the limited VM experts’ responses provide a valid basis for drawing inferences and making recommendations to address the paucity of VM applications in the NCI.

Originality/value

Through a Delphi survey, the critical barriers to the adoption of VM were identified, along with recommendations to help construction stakeholders overcome the challenges and enjoy the benefits of VM.
Flexural behavior of slabs made of lightweight foamed concrete with basalt powder
Authors: Al-Zubaidi Hanadi , Allouzi Rabab
Published: August 2023

Purpose

Cement can be replaced to reduce the energy consumption and the environmental impact of cement. Also, foamed concrete can be used structurally in residential buildings to reduce weight and improve thermal insulation. To achieve these two goals, this paper aims to investigate the effect of basalt powder as a partial replacement of either cement or sand.

Design/methodology/approach

This paper investigates the effect of basalt powder as a partial replacement of either cement or sand on the mechanical properties of foamed concrete used to cast slabs. First, mechanical properties of foamed concrete are tested with and without replacement of basalt. Then, six slabs of different thicknesses and mixes are investigated. The thicknesses considered are 150- and 200-mm slabs. The three mixes used to construct these slabs are foamed concrete with no basalt powder, foamed concrete with replacement of 20% of cement by basalt powder and foamed concrete with replacement of 20% of sand by basalt powder. The flexural behavior of these slabs is investigated.

Findings

All the slabs failed in the commonly intended flexural mode. The results show that the basalt powder acted as a strong filler material in the foamed concrete mix based on mechanical properties and flexural behavior. The proposed foamed concrete slabs can be used structurally in residential buildings.

Originality/value

A natural waste material that can be used to promote energy efficiency and reduce emission is basalt. In this paper, basalt powder is suggested to be used due to its chemical composition that is similar to cement. Also, basalt powder is low in cost as it is waste, while basalt aggregate is prepared, and it is only used as filler in paved roads. Accordingly, basalt is partially used instead of cement to reduce the emission of carbon dioxide that results from the cement manufacturing. Also, it is used as a partial alternative to sand which can be considered as a new stronger source as filling material used in the production of concrete.
Asymmetric effects of monetary policy on non-bank financial intermediation (NBFI) assets: a panel quantile regression approach
Authors: Isayev Mugabil , Irani Farid , Attarzadeh Amirreza
Published: August 2023

Purpose

The purpose of this paper is to fill the momentous gap by explicitly investigating the asymmetric effects of monetary policy (MP) on non-bank financial intermediation (NBFI) assets.

Design/methodology/approach

The authors utilized panel data from 29 countries for the period of 2012–2020 and used the quantile regression estimation. In addition to simultaneous quantile regression (SQR), the authors also employ quantile regression with clustered data (Parente and Silva, 2016) and the generalized quantile regression (GQR) method (Powell, 2020).

Findings

The empirical results show a significant heterogeneous impact of MP. While there is a positive relationship between MP and NBFI assets (“waterbed effect”) at lower quantiles of NBFI assets, at middle and higher quantiles, MP has a negative impact on NBFI assets (“search for yield” effect). The authors further find that negative impact strengthens as the quantile levels of NBFI assets rise from mid to high. Findings also reveal that “procyclicality” (except higher quantile) and “institutional demand” hypotheses hold. However, regarding “regulatory arbitrage,” mixed results are observed indicating the impact of Basel III requirements.

Originality/value

Previous empirical studies have concentrated on either the Dynamic Stochastic General Equilibrium (DSGE) framework or conditional mean regression approaches and delivered mixed findings of the MP effects on NBFI. The current paper takes a step toward dealing with this issue by deploying quantile regression methodology, which shows the impact of MP on NBFI at different conditional distributions (quantiles) of NBFI assets instead of just NBFI's conditional mean distribution.
Does being Shariah-compliant affect capital structure decision: evidence from emerging markets
Authors: Bugshan Abdullah , Bakry Walid
Published: August 2023

Purpose

This paper aims to examine the relationship between Shariah compliance and corporate capital structure decisions. This study explores the variation of capital structure speed of adjustment.

Design/methodology/approach

The authors’ sample includes a sample of the largest 200 nonfinancial firms trading in the Malaysian and Pakistan stock markets. This study uses ordinary least squares and dynamic two-step system generalized method of moments to test the hypotheses of the study.

Findings

The results show that Shariah-compliant firms use a lower level of leverage than the noncomplaint firms. Moreover, while both types of firms have optimal capital structures, the speed of adjustment toward the targets is slower for Shariah-complaint firms than non-Shariah-compliant firms. This variation can be seen through the different levels of market imperfection experienced by the two types of firms. Shariah-compliant firms follow Islamic rules that restrict the type and degree of leverage, thus affecting the availability of external funding to Shariah-compliant firms.

Research limitations/implications

The findings call for more development and innovation of financing instruments that comply with Shariah rules that will increase of supply of external funds for Shariah-compliant firms and, thus, reduce market imperfections that are faced by Shariah-compliant firms.

Originality/value

The study contributes to the limited number of studies that examine the nexus between conventional corporate theories and Islamic corporate finance.
The influence of social drivers on using ride-hailing services
Authors: Rana Nripendra P. , Singh Anurag , Parayitam Satyanarayana , Mishra Anubhav , Bhatt Mishra Deepa
Published: August 2023

Purpose

The pandemic has severely affected sharing economy businesses specially ride-hailing services due to high levels of human-touch points. This research investigates the impact of COVID-19 infodemic, identification, and emotional support on intention to use ride-hailing. The authors further examine the moderating effects of internalization, compliance, social currency and informational support in the proposed conceptual model.

Design/methodology/approach

The data were collected from 412 respondents from Delhi in India, and hypothesized relationships were tested using hierarchical regression.

Findings

The results indicate that COVID-19 infodemic has a negative association with intention to use ride-hailing. Identification and emotional support show a positive association with intention to use ride-hailing. The results also support internalization and compliance as moderators between infodemic, identification and intention to use ride-hailing. Further, social currency and information support moderate the relationship between emotional support and intention to use.

Originality/value

This is the first research, which adds to the expanding literature on ride-hailing, especially during the post-pandemic period of “new normal”.
How the interplay of social media usage and online reviews generate intention to apply for a job vacancy: an employer branding-based agenda
Authors: Bharadwaj Shubhangi
Published: August 2023

Purpose

This study aims to explain the relationship between employer branding, social media, online reviews and intention to apply for a job vacancy (IAJV), which organizations should ponder upon while designing branding campaigns.

Design/methodology/approach

The sample belongs to 385 final-year management graduates and postgraduates enrolled in central universities in the state of Uttar Pradesh, India. The dual mediation model is tested by regression and PROCESS macro.

Findings

Out of five employer branding dimensions, three (corporate social responsibility, healthy work atmosphere and training and development) were found to be significant predictors of IAJV. On the other hand, the dimensions of compensation and benefits and work-life balance did not influence candidates’ intention to apply for a job. The findings indicate that social recruiting could act as an effective tool for leveraging an organization’s image as an employer and could communicate unique brand values to the target market. Moreover, review whether positive, negative or neutral attributes could help job seekers affirm and reaffirm employer branding attributes before applying for a job.

Originality/value

Studies in social media and employer branding areas lag far behind in practice, and the present research attempts to fill this research gap. A further contribution of this research work will be to assess the role of reviews for a meaningful analysis of potential employees’ intentions to apply in an organization.
Exploring Southeast Asian immigrants' attitudes toward the police in Taiwan
Authors: Lai Yung-Lien , Luo Fei , Kang Chia-Cheng , Lo Tzu-Ying
Published: August 2023

Purpose

While a substantial amount of research has been conducted in western societies exploring public attitudes toward police (ATP) among immigrants in recent decades, the question of how recently arrived immigrants view the police in Asian societies has been largely overlooked. This study aims to explore Southeast Asian immigrants' ATP in Taiwan and how assimilation, discrimination, affirmation, procedural justice, bifocal lenses and contact experiences – viewed simultaneously – impact their perceptions.

Design/methodology/approach

Using a combination of convenience and snowball sampling methods, a total of 579 completed survey responses were collected in Taiwan with a response rate of 89%. Structural Equation Modeling (SEM) was used to examine key factors that impact immigrants' attitudes toward the Taiwanese police.

Findings

The findings suggest that procedural justice and assimilation are two robust and direct predictors of immigrants' attitudes toward Taiwanese police. Immigrants from Southeast Asian countries who perceive that they have been treated fairly by Taiwan police tended to report more positive ATP. Likewise, higher levels of assimilation boosted confidence in the police. In addition, both nationality and marital status had a significant impact on perceptions of the police.

Originality/value

This pioneering study examines immigrants' ATP among four groups of Southeast Asians in Taiwan —namely, immigrants from Indonesia, Vietnam, Thailand and the Philippines. The use of SEM strengthens the robustness of the findings derived from this study.
Comparative analysis approaches for steel portal frame design in industrial buildings
Authors: Md Said Md Azlin , De’nan Fatimah , Hashim Nor Salwani , Wely Bong , Ching Chuah Hoi
Published: August 2023

Purpose

The purpose of this study is to further investigate the potential benefits brought about by the development of modern technology in the steel construction industry. Specifically, the study focuses on the optimization of tapered members for pre-engineered steel structures, aligning with Eurocode 3 standards. By emphasizing the effectiveness of material utilization in construction, this research aims to enhance the structural performance and safety of buildings. Moreover, it recognizes the pivotal role played by such advancements in promoting economic growth through the reduction of material waste, optimization of cost-efficiency and support for sustainable construction practices.

Design/methodology/approach

Structural performance at initial analysis and final analysis of the selected critical frame were carried out using Dlubal RSTAB 8.18. The structural frame stability and sway imperfections were checked based on MS EN1993-1-1:2005 (EC3). To assess the structural stability of the portal frame using MS EN 1993-1-1:2005 (EC3), cross-sectional resistance and member buckling resistance were verified based on Clause 6.2.4 – Compression, Clause 6.2.5 – Bending Moment, Clause 6.2.6 – Shear, Clause 6.2.8 – Bending and Shear, Clause 6.2.9 – Bending and Axial Force and Clause 6.3.4 – General Method for Lateral and Lateral Torsional Buckling of Structural Components.

Findings

In this study, the cross sections of the web-tapered rafter and column were classified under Class 4. These involved the consideration of elastic shear resistance and effective area on the critical steel sections. The application of the General Method on the verification of the resistance to lateral and lateral torsional buckling for structural components required the extraction of some parameters using structural analysis software. From the results, there was only 5.90% of mass difference compared with the previous case study.

Originality/value

By classifying the web-tapered cross sections of the rafter and column under Class 4, the study accounts for important factors such as elastic shear resistance and effective area on critical steel sections.
Facilitation strength across environmental and beneficiary trait gradients in stream communities
Authors: Tumolo Benjamin B. , Albertson Lindsey K. , Daniels Melinda D. , Cross Wyatt F. , Sklar Leonard L.
Published: August 2023

Ecosystem engineers modify habitats in ways that facilitate other community members by ameliorating harsh conditions. The strength of such facilitation is predicted to be influenced by both beneficiary traits and abiotic context. One key trait of animals that could control the strength of facilitation is beneficiary body size because it should determine how beneficiaries fit within and exploit stress ameliorating habitat modifications. However, few studies have measured how beneficiary body size relates to facilitation strength along environmental gradients.

We examined how the strength of facilitation by net‐spinning caddisflies on invertebrate communities in streams varied along an elevation gradient and based on traits of the invertebrate beneficiaries. We measured whether use of silk retreats as habitat concentrated invertebrate density and biomass compared to surrounding rock surface habitat and whether the use of retreat habitat varied across body sizes of community members along the gradient.

We found that retreats substantially concentrated the densities of a diversity of taxa including eight different Orders, and this effect was greatest at high elevations. Caddisfly retreats also concentrated invertebrate biomass more as elevation increased. Body size of invertebrates inhabiting retreats was lower than that of surrounding rock habitats at low elevation sites, however, body size between retreats and rocks converged at higher elevation sites. Additionally, the body size of invertebrates found in retreats varied within and across taxa. Specifically, caddisfly retreats functioned as a potential nursery for taxa with large maximal body sizes. However, the patterns of this taxon‐specific nursery effect were not influenced by elevation unlike the patterns observed based on community‐level body size.

Collectively, our results indicate that invertebrates use retreats in earlier life stages or when they are smaller in body size independent of life stage. Furthermore, our analysis suggests that facilitation strength intensifies as elevation increases within stream invertebrate communities.

Further consideration of how trait variation and environmental gradients interact to determine the strength and direction of biotic interactions will be important as species ranges and environmental conditions continue to shift.
Regulating diagnosis—Molecular and regulatory sub‐stratifications of lung cancer treatment
Authors: Hauge Amalie Martinus
Published: August 2023

The sociology of diagnosis has shown that diagnosis not only serves to label the underlying cause of disease but also to provide access to services and resources. Elaborating on this double‐affordance of diagnosis, this article examines how precision medicine reconfigures diagnosis as a label and as a process in regulatory and clinical settings. Reporting from an ethnographic case study of the introduction of immunotherapy for lung cancer, the paper unfolds the uncertainties involved in dissecting diagnosis into layers and examines the efforts and negotiations it takes to enable these layers to work both as clinical entities and regulative entities with the purpose of delineating access to treatment. I suggest that the work of subdividing diseases into molecularly defined categories for the purpose of delineating treatment‐eligible populations can be labelled ‘diagnostic sub‐stratification’ and argue that it is pertinent to understand the political capacity of this strategy. Diagnostic sub‐stratification involves a push of diagnosis from the clinic ‘up’ into the regulatory system and ‘out’ into the laboratories, obscuring who is accountable for the diagnostic categories employed to define patients’ treatment access.