bluuebunny/crossref_metadata_2025_split huggingface dataset:
Towards an institutional understanding of risk-based management controls: evidence from a developing market
Authors: Metwally Abdelmoneim Bahyeldin Mohamed , Diab Ahmed 
Published: February 2024

Purpose
In developing countries, how risk management technologies influence management accounting and control (MAC) practices is under-researched. By drawing on insights from institutional studies, this study aims to examine the multiple institutional pressures surrounding an entity and influencing its risk-based management control (RBC) system – that is, how RBC appears in an emerging market attributed to institutional multiplicity.

Design/methodology/approach
The authors used qualitative case study research methods to collect empirical evidence from a privately owned Egyptian insurance company.

Findings
The authors observed that in the transformation to risk-based controls, especially in socio-political settings such as Egypt, changes in MAC systems were consistent with the shifts in the institutional context. Along with changes in the institutional environment, the case company sought to configure its MAC system to be more risk-based to achieve its strategic goals effectively and maintain its sustainability.

Originality/value
This research provides a fuller view of risk-based management controls based on the social, professional and political perspectives central to the examined institutional environment. Moreover, unlike early studies that reported resistance to RBC, this case reveals the institutional dynamics contributing to the successful implementation of RBC in an emerging market.
Examining food insecurity in a regional New Zealand emergency department: A cross‐sectional study
Authors: Richling Stephanie , Hammer David , Tan Eunicia 
Published: February 2024

AbstractObjectiveTo determine the prevalence of food insecurity (FI) among patients in a regional New Zealand ED, factors associated with FI and feasibility of an ED‐based FI screening programme with voluntary social work (SW) follow up.MethodsCross‐sectional study of patients presenting to the Whangarei Hospital ED, using the validated two‐item Hunger Vital Sign screening tool to assess for FI. Participants were offered SW follow up to discuss community food resources.ResultsOf the 300 participants who completed the questionnaire, 111 (37.0%, 95% confidence interval [CI] 32.0–43.0) were food insecure. Factors associated with FI include Māori ethnicity (odds ratio [OR] 2.12 [95% CI 1.19–3.80], P = 0.011), household crowding (OR 1.19 [95% CI 1.02–1.39], P = 0.024) and lower socioeconomic status (OR 1.13 [95% CI 1.00–1.27], P = 0.048). There was no statistically significant association between FI and number of comorbidities or the primary reason for ED attendance. Of participants who were food insecure, only half reported being aware of (n = 56/111, 50.5%) or had used (n = 60/111, 54.1%) food resources. Participants who were food insecure were more likely to have utilised resources, either currently or in the past (OR 8.50 [95% CI 4.46–16.18], P < 0.001). Forty (13.3%) participants requested SW follow up and of those, most (n = 31/40, 77.5%) were successfully contacted. FI was associated with interest in SW follow up (OR 16.95 [95% CI 5.81–49.42], P < 0.001). At follow up, the majority (n = 24/31, 77.4%) of participants requested further information regarding food resources.ConclusionFI was prevalent among patients in a regional NZ ED. An ED‐based FI screening programme with voluntary SW follow up was feasible and acceptable to ED patients.
LC‐ICP‐MS analysis of inositol phosphate isomers in soil offers improved sensitivity and fine‐scale mapping of inositol phosphate distribution
Authors: Carroll Joseph J. , Sprigg Colleen , Chilvers Graham , Delso Ignacio , Barker Megan , Cox Filipa , Johnson David , Brearley Charles A. 
Published: February 2024

Abstract

Organic forms of phosphorus (P) prevail in soils and their quantification is vital to better understand global biogeochemical cycles. P speciation in soil is commonly assessed by 31P NMR spectroscopy of sodium hydroxide‐EDTA (NaOH‐EDTA) extracts.

A liquid chromatography‐inductively coupled plasma‐mass spectrometry (LC‐ICP‐MS) method that employs NaOH‐EDTA is described.

Comparison with 31P NMR shows that LC‐ICP‐MS is up to three orders of magnitude more sensitive. It allows measurement in samples as small as 1 mg. We reveal variation of inositol phosphate distribution in Swedish boreal forest soil and identify myo‐ and scyllo‐inositol hexakisphosphates and other isomers including scyllo‐inositol pentakisphosphate.

Speciation of the major inositol phosphates was not altered by long‐term nitrogen fertilization.
Are my wife's recovery activities related to my subsequent recovery activities at work?
Authors: Yun Mansik , Beehr Terry 
Published: February 2024

AbstractWe proposed a model where a male employee's wife's engagement in recovery activities results in the husband's own enactment of recovery activities while in the workplace, via emotional contagion, based on the COR theory and broaden‐and‐build theory of positive emotions. We expected wives may experience positive emotions after engaging in social interactions, which has a contagion effect on husbands' positive emotions. Further, husbands were expected to leverage their positive emotions to engage in future recovery activities (better lunch nap and meal quality while at work). Lastly, we examined whether power imbalance in the married couple has a moderating effect on emotional contagion processes. To test our model, we used an experience‐sampling method in which 110 dyads completed daily diary questionnaires for 8 consecutive days (N = 768, after removing 112 invalid observations). As expected, wives' social interactions are linked to husbands' positive emotions via wives' positive emotions. Further, husbands' positive emotions predict the quality of two workplace recovery activities (lunch naps and meals). Finally, power imbalance moderates the association between wives' (donors) emotions and husbands' (recipients) emotions such that the crossover of emotions is stronger when wives (donors) have relatively more power than when they have less.
Quantification of SARS‐CoV‐2 viral load in patients using time‐to‐results in antigen lateral flow tests
Authors: Braunstein Elsa W. , Vail Eric , Ho David D. , Liu Lihong , Mohri Hiroshi , Gayhart Matthew , Braunstein Glenn D. 
Published: February 2024

AbstractBased upon clinical observations and recent reports, we anticipated there would be an inverse dose–response relationship between the severe acute respiratory syndrome‐coronavirus 2 (SARS‐CoV‐2) viral load and the time‐to‐positivity after application of the nasal swab sample in two popular home coronavirus disease 2019 (COVID‐19) antigen tests, BinaxNOW COVID‐19 Antigen Self‐Test and Flowflex COVID‐19 Antigen Home Test, both of which are sensitive to the nucleocapsid protein (NP). The relationship among the concentration of NP, WA1, and Omicron XBB.1.5 viral strains and the time‐to‐positive result by visual assessment in the tests was examined. The correlation between reverse transcription‐polymerase chain reaction cycle threshold (Ct) values and time‐to‐positivity in clinical samples (training set) also was determined. Strong inverse correlations were obtained between the concentration of the NP, WA1, XBB.1.5, Ct values for dilutions of both WA1 and XBB.1.5, as well as Ct values from the clinical samples and time‐to‐positivity in both antigen tests. The correlation between the actual and predicted Ct values interpolated from the training set was high with both tests in a second set of clinical samples. These results, together with those of other investigations with similar tests, suggest that the time‐to‐positive visual result in most, if not all, lateral flow COVID‐19 antigen tests can be utilized to estimate SARS‐CoV‐2 viral concentrations.
Setting up a state‐of‐the‐art laboratory in resource limited settings: A case study of the biomedical science research and training centre in Northeast Nigeria
Authors: Isah Murtala Bindawa , Muhammad Zaid , Lawan Mohammed Musa , Alkhamis Abdulrahman Idris , Goni Baba Waru , Oakley Sebastian Scott , Marshall Karen , Hartig Renée , Raouf Issa Sabi‐Abdoul , Yoshimatsu Takeshi , Chagas André Maia , Maina Mahmoud Bukar 
Published: February 2024

AbstractAfrican science has substantial potential, yet it grapples with significant challenges. Here we describe the establishment of the Biomedical Science Research and Training Centre (BioRTC) in Yobe State, Northeast Nigeria, as a case study of a hub fostering on‐continent research and describe strategies to overcome current barriers. We detail the steps taken to establish BioRTC, emphasising the critical importance of stakeholder engagement, community involvement, resource optimisation and collaborations. With its state‐of‐the‐art facilities and commitment to training African scientists, BioRTC is poised to significantly advance neuroscience research and training in the region. Although we are in the early stages of our journey, our model, emphasizing open access and inclusivity, offers a replicable blueprint for neuroscience research development in similar resource‐limited settings, promising to enrich the global neuroscience community. We invite the support and collaboration of those who share our vision and believe in our potential.
Failing Forward in European Economic Governance: The Cyclicality of European Integration and Institutional Competition in the COVID‐19 Crisis
Authors: Abels Joscha 
Published: February 2024

AbstractThe European Union's (EU's) response to the pandemic has been accompanied by reconfigurations in its institutional hierarchy, affecting the sites where institutional reforms are prepared and implemented. Whereas the Eurogroup drove reform during the euro crisis, the Commission had a more pronounced role in the development and implementation of pandemic instruments. This article ties in with failing‐forward arguments that view European integration as cyclical, arguing that this cyclicality also concerns the institutional dynamics in European economic governance. Based on expert interviews, official documents and reports, the analysis reconstructs and compares the institutional configurations during the euro crisis and the pandemic. Its findings suggest three modifications to ‘failing forward’: first, incomplete intergovernmental decisions are often the result of dominant particular interests rather than ‘lowest common denominator’ solutions; second, supranational bodies can exploit the delegitimization of intergovernmental solutions; and third, ad hoc measures can prolong the failing‐forward cycle and displace lasting integration steps.
Wheat germ meal replaces cottonseed meal at different levels in diets of Ossimi lambs: Impact on growth performance, feed utilization and economic efficiency
Authors: Hassan Ola G. A. , El‐Garhy Gamal M. , Kholif Ahmed E. , Mousa Gamal A. 
Published: February 2024

AbstractThis experiment aimed to evaluate the replacement of cottonseed meal (CSM) with wheat germ meal (WGM) in diets of growing lambs on feed utilization and growth performance. Twenty‐eight Ossimi male lambs (38 ± 0.8 kg weight), and 180 ± 5 days were divided randomly into four experimental groups in a complete randomized design for 105 days. Cottonseed meal was replaced with WGM at 0 (WGM0 treatment), 50 (WGM50 treatment), 75 (WGM75 treatment) and 100% (WGM100 treatment). The chemical analysis of the total essential and non‐essential amino acids showed an increase at the WGM diet compared to CSM. The replacement of CSM with WGM linearly and quadratically improved (p ˂ 0.05) lambs' growth performance and feed conversion. The WGM50 and WGM100 treatments lowered (p ˂ 0.05) feed intake, without affecting nutrient digestibility or diets' nutritive. Feeding WGM increased (p ˂ 0.05) total protein, albumin, and urea‐N concentrations in blood of lambs. The WGM100 treatment showed the highest relative percentage of net revenue compared to the other treatments. It is concluded that the complete replacement of CSM with WGM showed positive effects on lambs' performance and economic efficiency.
Meta‐analysis and machine learning reveal the antiobesity effects of melatonin on obese rodents
Authors: Li Yuying , Sun Xihang , Wang Mansheng , Jiang Yayun , Ge Qian qian , Li Tiejun , Hou Zhenping , Shi Pengjun , Yao Kang , Yin Jie 
Published: February 2024

SummaryMelatonin appears to be a promising supplement for obesity treatment. The antiobesity effects of melatonin on obese rodents are influenced by various factors, including the species, sex, the dosage of melatonin, treatment duration, administration via, daily treatment time, and initial body weight (IBW). Therefore, we conducted a meta‐analysis and machine learning study to evaluate the antiobesity effect of melatonin on obese mice or rats from 31 publications. The results showed that melatonin significantly reduced body weight, serum glucose (GLU), triglycerides (TGs), low‐density lipoprotein (LDL), and cholesterol (TC) levels in obese mice or rats but increased high‐density lipoprotein (HDL) levels. Melatonin showed a slight positive effect on clock‐related genes, although the number of studies was limited. Meta‐regression analysis and machine learning indicated that the dosage of melatonin was the primary factor influencing body weight, with higher melatonin dosages leading to a stronger weight reduction effect. Together, male obese C57BL/6 mice and Sprague–Dawley rats with an IBW of 100–200 g showed better body weight reduction when supplemented with a dose of 10–30 mg/kg melatonin administered at night via injection for 5–8 weeks.
Suppression of non‐native and native grass seed germination using mustard seed meal and mulch biofumigation
Authors: Sencenbaugh Lilly , Mangold Jane M. , Ulrich Danielle , Rew Lisa J. 
Published: February 2024

AbstractNon‐native annual grasses have invaded western rangelands in the United States, and novel approaches are needed to supplement existing management strategies. The aim of this study was to investigate biofumigation, the use of Brassicaceae products to suppress weeds, as a control for two non‐native annual grasses (cheatgrass, Bromus tectorum and ventenata, Ventenata dubia) and its effects on two dominant native perennial grasses (bluebunch wheatgrass, Pseudoroegneria spicata and Idaho fescue, Festuca idahoensis). We tested the effect of the biofumigant Brassica juncea (brown mustard), applied as seed meal and mulch, on germination metrics of the four grass species in Petri dishes. Germination metrics included emergence and viability, time to cotyledon and radicle emergence and their lengths at 14 days after sowing. Impacts on emergence and viability were assessed using a binomial mixed effects model, while time to cotyledon and radicle emergence and lengths were assessed using linear mixed effects models. Seed meal reduced emergence and viability at lower application rates for V. dubia and F. idahoensis than the other two species. Mulch did not consistently reduce emergence or viability. P. spicata was the least inhibited by the biofumigants. When using seed meal, radicle emergence and length were inhibited in B. tectorum, V. dubia and F. idahoensis and cotyledon emergence and length were inhibited for all. The mulch did not impact these metrics consistently and may not be a viable management tool. The use of seed meal biofumigant to suppress undesired annual grasses in rangelands seems promising, but response is species‐specific.
Reviewer Acknowledgements for International Journal of Social Science Studies, Vol. 12, No. 1
Authors: Young James 
Published: February 2024

International Journal of Social Science Studies (IJSSS) would like to acknowledge the following reviewers for their assistance with peer review of manuscripts for this issue. Many authors, regardless of whether IJSSS publishes their work, appreciate the helpful feedback provided by the reviewers. Their comments and suggestions were of great help to the authors in improving the quality of their papers. Each of the reviewers listed below returned at least one review for this issue. Reviewers for Volume 12, Number 1Aurora Pestaño, University of San Jose Recoletos (USJR), PhilippinesEncarnación ABAD ARENAS, National University of Distance Education (UNED), SpainIvan Lenard, Elementary school Ladimirevci, CroatiaJehu Onyekwere Nnaji, University of Naples II,Italy and Globe Visions Network Italy, ItalyJibrin Ubale Yahaya, National Open University of Nigeria NOUN, NigeriaMei-Ling Lin, National Open University, TaiwanNadarajah Pushparajah, University of Jaffna, Sri LankaSana Ali, Allama Iqbal Open University, Islamabad, Pakistan James YoungEditorial AssistantOn behalf of,The Editorial Board of International Journal of Social Science StudiesRedfame Publishing9450 SW Gemini Dr. #99416Beaverton, OR 97008, USAURL: http://ijsss.redfame.com
Method to Backout Load From Strain Gauges Using Machine Learning
Authors: Chinthapally Srinivas , Nuli Sidhardha , Das Arnab , Hedaoo Akshay 
Published: February 2024

Abstract
During vibration tests, loads need to be measured for machine components such as bearings, mounts, lugs, etc. As load cells cannot be placed at certain locations in the interior, strain gauges are used instead to measure the strain. But we need a load strain relation for the components. Most of the real-life components experience axial, bending, and torsional loads. Hence a multi-dimensional force strain relationship needs to be established for each component. Hence, prior to the actual tests, calibration tests are performed, on each component separately. These calibration tests are most often static load tests, in which load is applied in one direction at a time in small increments of load. In addition to the unidirectional loads, combined loads are also applied to establish complete load strain surface. Multidimensional load strain data is compiled and pre-processed to develop a multivariable load-strain relationship. The load-strain relationship is later used to back out loads from the strain data. Currently methods such as Newton-Raphson, plate smoothing spline, surface fitting, etc. are used to develop this relationship. Newton-Raphson is an iterative technique which solves for the loads simultaneously at each strain points. This method iterates till the error is small to achieve convergence. Newton-Raphson and surface fitting methods require structured data for developing multivariable load-strain relationship. However, deriving load-strain relations for complex geometries exhibiting highly nonlinear relationships is mathematically complex and computationally expensive. Also, formulation of these methods limits the use of large number of variables (more than 3). In this paper, an ensemble of MARS (Multi variate adaptive regression spline) along with Adaboost boosting algorithm has been explored to predict loads from strain data by developing multivariable correlation between loads and strains. MARS is an improved multivariable spline regression technique that generates piecewise polynomial functions between the variables and automatically determines the number & size of segment to achieve high accuracy or best fit on nonlinear problems. With complex high dimensional and noisy non-linear problem, Adaboost helps to reduce overfitting and improve the performance of the MARS model. The proposed method is well suited for dealing with large number of variables and developing complex non-linear load-strain relationship as it doesn’t require any structured data or iterations like existing methods to backout loads. The proposed method reduces the run time by more than 90% as compared to the conventional methods without compromising on accuracy. The advantages of the proposed method over conventional techniques have been demonstrated in this paper.
Influence of Concentrated Augmenter on the Performance of a Two-Bladed Savonius Wind Rotor Composed of Arc-Elliptical Profile
Authors: Alom Nur , Talukdar Parag K. , Sarkar Bikash Kumar , Saha Ujjwal K. 
Published: February 2024

Abstract
The Savonius wind rotor, a drag-based vertical-axis wind turbine, is gaining importance throughout the globe as a way to generate electricity while reducing global warming. Although it exhibits a lower performance, this type of rotor is gaining immense interest in the research community because of its straightforward design, self-starting capability, and operational ease. Over the past two decades, numerous blade profiles have been created to improve the performance of this rotor. A recently developed arc-elliptical blade profile has shown an improved performance characteristic. In the present computational study, this arc-elliptical blade profile is considered with a concentrated augmenter placed in front of it. The concentrated augmenter is placed to enhance the performance of the blade profile further. The arc-elliptical blade profile with the concentrated augmenter is investigated using a commercial computational fluid dynamic solver ANSYS Fluent 17.1 with the help of shear stress transport (SST) k-ω turbulence model. The torque and power coefficients of the augmented rotor have been evaluated for a range of tip-speed ratio. The results obtained in the present study are also compared with those of the arc-elliptical blade profile without the concentrators. An enhancement of CPmax by 4.11% is observed in the arc-elliptical bladed rotor with the concentrated augmenter as compared to the one without the augmenter.
Evaluation of Scaling Formation on Entropy Generation of Flowing Fluid Through Circular Pipe
Authors: Singh Onkar , Maheshwari Mayank 
Published: February 2024

Abstract
The generation of entropy leads to destruction in performance of the thermodynamic element. The present paper investigates the entropy generated in a heat exchanger under different operating conditions and varying scale thickness. The results show that with increase in scale thickness entropy generation increases. The entropy generated is maximum when the effect of temperature is considered and corresponds to 9.9J/K for a scale thickness of 1mm. Entropy of 6.6J/K and 7.8J/K is generated respectively for Nusselt number 7.5 and Stanton number 4 when scale thickness is 1mm. The effectiveness of heat exchanger decreases by approximately 2% for an increase of 1mm scale thickness. If the scale thickness is neglected then the entropy generated is observed to be 4J/K, 2.1J/K, and 2.6J/K respectively for the same operating conditions.