bluuebunny/crossref_metadata_2025_split huggingface dataset:
Small molecule NS11021 promotes BK channel activation by increasing inner pore hydration
Authors: Nordquist Erik B. , Jia Zhiguang , Chen Jianhan 
Published: June 2024

AbstractThe Ca2+and voltage-gated big potassium (BK) channels are implicated in various diseases including heart disease, asthma, epilepsy and cancer, but remains an elusive drug target. A class of negatively charged activators (NCAs) have been demonstrated to promote the activation of several potassium channels including BK channels by binding to the hydrophobic inner pore; yet the underlying molecular mechanism of action remains poorly understood. In this work, we analyze the binding mode and potential activation mechanism of a specific NCA named NS11021 using atomistic simulations. The results show that NS11021 binding to the pore in deactivated BK channels is nonspecific and dynamic. The binding free energy of -8.3±0.7 kcal/mol (KD= 0.3-3.1 μM) calculated using umbrella sampling agrees quantitatively with the experimental EC50 range of 0.4-2.1 μM. The bound NS11021 remains dynamic and is distal from the filter to significantly impact its conformation. Instead, NS11021 binding significantly enhances the pore hydration due to the charged tetrazol-phenyl group, thereby promoting the opening of the hydrophobic gate. We further show that the free energy barrier to K+permeation is reduced by ∼3 kcal/mol regardless of the binding pose, which could explain the ∼62-fold increase in the intrinsic opening of BK channels measured experimentally. Taken together, these results support that the molecular mechanism of NS11021 derives from increasing the hydration level of the conformationally closed pore, which does not depend on specific binding and likely explains the ability of NCAs to activate multiple K+channels.
Asymptotic generalization errors in the online learning of random feature models
Authors: Worschech Roman , Rosenow Bernd 
Published: June 2024

Deep neural networks are widely used prediction algorithms whose performance often improves as the number of weights increases, leading to over-parametrization. We consider a two-layered neural network whose first layer is frozen while the last layer is trainable, known as the random feature model. We study over-parametrization in the context of a student-teacher framework by deriving a set of differential equations for the learning dynamics. For any finite ratio of hidden layer size and input dimension, the student cannot generalize perfectly, and we compute the non-zero asymptotic generalization error. Only when the student's hidden layer size is exponentially larger than the input dimension, an approach to perfect generalization is possible.

Published by the American Physical Society
2024
Somebody's watching me: boundary turbulence and its impact on employee engagement
Authors: Lemon Laura L. , Bawole Claudia , Brinson Nancy H. , Amini Bahareh 
Published: June 2024

PurposeThe purpose of this paper is to use the concept of boundary turbulence from Communication Privacy Management (CPM) theory to better understand how employee monitoring impacts employee engagement. This study is one of the first in corporate communication to combine the frameworks of CPM and employee engagement to better understand employee experiences.Design/methodology/approachTo answer the research question, we conducted an online, open-ended survey that asked 633 participants to provide feedback regarding being monitored at work and how these experiences impacted their engagement with their employer.FindingsThis study sought to understand how boundary turbulence occurs in relation to employee engagement when employees are monitored at work. In total, four examples of boundary turbulence were illustrated in the data: employer monitoring creates distrust; employees find ways to resist being monitored; monitoring doesn’t accurately capture employee engagement; and monitoring leads to disengagement.Originality/valueThe findings from this study lead to important conclusions regarding what happens when employees experience boundary turbulence, and how it relates to employee engagement. This study illustrates how employee monitoring is interpreted as an attempt to control employees, which can lead to distrust and negatively impact employee engagement. Furthermore, boundary turbulence can threaten psychological safety and presence, which can cultivate employee disengagement. Therefore, employees may seek out ways to actively resist, which reiterates that internal publics are distinctive, active, and agentic audiences that cannot be forgotten or assumed.
An optimal threshold for over-indebtedness: a study on the discrepancy between subjective and objective debt burdens
Authors: Bialowolski Piotr , Kowalski Ryszard , Wałęga Agnieszka , Wałęga Grzegorz 
Published: June 2024

PurposeThe study aims to explore the discrepancy between the subjective and objective debt burdens across various household socio-demographic and debt characteristics. Additionally, it seeks to establish an optimal debt service-to-income ratio (DSTI) threshold for identifying over-indebtedness.Design/methodology/approachThis study utilized a sample of 1,004 respondents from a nationwide survey conducted among Polish indebted households. A discrepancy ratio (DR) measure was proposed to evaluate the divergence between subjective and objective over-indebtedness. Binary logistic regression was employed to estimate the probability of being subjectively and objectively over-indebted, as well as the discrepancy between the two measures of over-indebtedness. The study also employed numerical simulations to determine the optimal DSTI threshold for identifying over-indebted households in general and based on their socio-economic characteristics.FindingsThe study established a debt service-to-income ratio (DSTI) threshold of 20% to minimize the discrepancy between subjective and objective debt burden, which is lower than thresholds found in other studies aimed at identifying over-indebted households. Age, number of loans, self-perceived needs satisfaction and type of debt were identified as significant socio-economic and debt-related determinants of over-indebtedness. Household socio-economic and debt-related characteristics significantly influence the threshold for identifying over-indebtedness using DSTI. It can vary widely, ranging from as low as 11% for well-educated women with multiple loan commitments to 43.7% for young males with vocational education, high incomes and originating from households with four or more members.Originality/valueThe paper proposes a more comprehensive approach to debt burden analysis by introducing a new methodology for determining a debt service-to-income (DSTI) threshold that could serve as a measure of over-indebtedness based on the discrepancy between subjective and objective over-indebtedness. It also emphasizes the significance of socio-economic and debt-related factors in evaluating subjective and objective over-indebtedness.
Land tenure conflicts in forest areas: obstacles to rejuvenation of small-scale oil palm plantations in Indonesia
Authors: Mustofa Riyadi , Syahza Almasdi , Manurung Gulat Mendali Emas , Nasrul Besri , Afrino Rino , Siallagan Eko Jaya 
Published: June 2024

Purpose
This study aims to investigate the problems small-scale oil palm plantations in Indonesia’s forest areas face and the government policies addressing them.

Design/methodology/approach
Survey and data collection were used to determine the socioeconomic, environmental, legal and governance problems related to the development of smallholder plantations. Information was obtained from the respondents via a rapid rural appraisal approach.

Findings
The potential land for potential participants in the community oil palm rejuvenation programme is a forest area of 1,628,749.60 ha. Owing to its legal dimensions and unsustainable land management, the rejuvenation regulatory programme has not reached independent farmers.

Research limitations/implications
The use of plantation space beyond its designation hinders the government’s goal of accelerating the rejuvenation programme. The problems regarding the accumulation of forest area result in low achievement of the annual rejuvenation target in Riau Province (21%–25%). The authors present solutions to resolve land ownership conflicts and implement strategic policies to ensure the sustainable development of such plantations.

Originality/value
The authors introduce a conflict–resolution model for small-scale smallholder oil palm plantations to resolve the problems of forest area claims unaddressed in the Indonesian Job Creation Law. Land conflict resolution is categorised into five typologies: oil palm plantations with business permits; those without a forestry permit and subject to administrative sanctions; business activities in forest areas without forestry permits; resolving non-conformities in the progress of land or management controlled and used in forest areas prior to their designation by removing land parcels through modifying the forest area boundaries; and the settlement for farmers without cultivation registration certificates but have established plantations and whose land tenure can be proven.
The morphology of urban tourism space (case: Malioboro Main Street as cosmological Axis of Yogyakarta city, Indonesia)
Authors: Ayudya Diana , Nuryanti Wiendu , Roychansyah Muhammad Sani 
Published: June 2024

Purpose
This study aims to analyze the morphological landscape of the urban tourism spaces in the Malioboro Main Street area to predict its future development and to assist in creating effective regional planning policies.

Design/methodology/approach
This study uses qualitative grounded theory, typo morphological analysis and place-centered mapping techniques.

Findings
From the observation, it was found that each element of the city image area has different components of the urban tourism space’s morphology. The urban tourism spaces in Malioboro Main Street are distributed in a centered, linear and scattered pattern, with zones dedicated to shopping, cultural experiences and cuisine. The specific elements of each zone, such as attractions, accommodations or amenities, determine the type of tourism offered, such as cultural, shopping and culinary tourism.

Research limitations/implications
The study presented here may serve as a helpful guide for regulating and organizing policies that can form a sound basis for policy formulation. It mainly pertains to planning and structuring the Malioboro Main Street area, which currently needs a well-conceived urban tourism landscape development concept.

Practical implications
This study will have practical implications in projecting tourism development in the area through planning and structuring. The study can also be used as a basis and guideline for controlling, organizing and determining regulations and policies, ultimately serving as a wise foundation for policy formulation, particularly in planning and structuring the Cosmological Axis area, especially the Malioboro area.

Originality/value
The discussion of morphology is mainly limited to macro or micro scales, while the discussion of tourism space is generally limited to conceptual development. Conversely, this study aims to explore the unique landscape morphology of the Malioboro Main Street area, which serves as evidence of a productive space for urban tourism by typomorphological analysis through the approach of urban landscape elements, tourism elements and its activities. Thus, it may complement previous studies in urban areas dominated by tourism.
Influence of operating parameters on the silt erosion performance of bare and coated SS304 steel
Authors: Kumar Rajesh , Kumar Satish , Mudgal Deepa 
Published: June 2024

Purpose
The purpose of this paper is to investigate the silt erosion performance of Bare, 75%Cr2O3 + 25%Al2O3 and 85%Cr2O3 + 15Al2O3-coated SS304 under various control parameters such as rotation speed, concentration of silt and particle size of silt used for making slurry. This can provide insight for using chromia and alumina-based coatings for hydro-turbines.

Design/methodology/approach
Taguchi approach was used to identify the effect of three input parameters on the bare and coated alloys. L16 orthogonal array is used for determining the signal-to-noise (S/N) ratio for each process parameter. For each level of parameters taken into consideration about the erosion wear, the arithmetic mean of the S/N ratio is calculated. On the essence of the results of S/N ratios, it is possible to determine the effect of the most dominating parameters of the erosion wear.

Findings
Results show that the erosion increases with an increase in silt concentration (Wt.%). It has been analyzed that the rotational speed has the most significant effect followed by the particle size and concentration on erosion wear for all uncoated and coated SS-304 samples. Maximum resistance to erosion is provided by 85%Cr2O3 + 15%Al2O3. The least erosion wear for process parameters has occurred at the optimal parametric combination of rotational speed (N) = 415 rev/min, concentration (C) = 15 Wt.% and particle size range as <53 µm for uncoated and coated stainless steel.

Originality/value
The study clearly shows the silt erosion performance of chromia and alumina coatings of different compositions at different input parameters.

Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-01-2024-0028/
A comparative study on bank income diversification: which non-interest income component is beneficial?
Authors: Pasha Rania , Lewaaelhamd Israa 
Published: June 2024

Purpose
This paper aims to conduct a comparative study on the impact of income diversification and the main non-interest components on banks’ financial performance and risk-adjusted profitability in China and Egypt.

Design/methodology/approach
This study uses both static and dynamic panel regression analyses on a sample of Egyptian and Chinese banks from 2009 to 2022.

Findings
Income diversification yields positive effects on bank profitability in Egypt and China. Trading income consistently exhibits a significant positive influence on bank profitability in both nations. Conversely, fee-based income positively impacts bank profitability in China, whereas in Egypt, this effect is observed under dynamic-based regression models. On the contrary, income diversification does not consistently increase risk-adjusted profitability in both countries, especially Egypt.

Originality/value
To the best of the authors’ knowledge, this is the first study to examine the impact of income diversification on Egyptian bank performance while identifying the most significant non-interest income components. In addition, the comparative analysis conducted in this study reveals the positioning of China, the largest economy among emerging countries, in terms of the degree of income diversification, its impact on bank profitability and the extent to which non-interest income components contribute to bank profitability when compared with Egypt, representing an emerging country characterised by different levels of bank market power, financial infrastructure and expertise. Findings hold significant implications, suggesting that bank managers and policymakers should prioritise diversifying income sources, particularly through fee-based services and trading activities in China, and trading activities in Egypt, to enhance financial profitability.
Property management services under the Malaysian Valuers, Appraisers, Estate Agents and Property Managers Act 1981 and the Property Management Standards
Authors: Au-Yong Cheong Peng , Saw Tiong Guan , Chua Shirley Jin Lin , Ali Azlan Shah , Musa Zairul Nisham , Wan-Shukery Wan Siti Aisha 
Published: June 2024

Purpose
Although a regulatory framework was established in Malaysia to govern practising property managers, the satisfaction level on residential property management remains low. This unfortunate situation necessitates a review of property managers’ job scope and their current standards of practice. Hence, this study aims to investigate the correlation between the performance of property managers in residential property management job scope and resident satisfaction.

Design/methodology/approach
The scope of work in property management services was first identified through a review of existing research and literature on property management. Subsequently, a survey questionnaire was administered, and the data collected was analysed to determine the relationship between the performance of the scope of work in residential building management and resident satisfaction. The research data was obtained from occupiers of residential properties and the findings formed the basis for research with an objective to enhance current property management practice.

Findings
Residential buildings represent the major building stocks of the country. The research showed that a majority (7 out of 9) of the identified scope of work significantly influence and affect resident satisfaction. Additionally, the logistic regression analysis outcome further confirms that the performance of maintenance management is a significant predictor of resident satisfaction.

Originality/value
This research identifies the critical scope of work in property management services which affects resident satisfaction. It also suggests various recommendations to improve property management services to achieve a higher level of resident satisfaction.
The role of augmented reality app attributes and customer-based brand equity on consumer behavioral responses: an S-O-R framework perspective
Authors: Jiang Ziyou , Lyu Jewon 
Published: June 2024

Purpose
Augmented reality (AR) provides consumers with added value by allowing them to experience products via mobile devices. An increasing number of brands have adopted AR apps, but little is known about how consumers respond to AR app attributes or what motivates them to use luxury brand AR apps. To fill this gap, this study aims to use the stimulus-organism-response (S-O-R) model to examine how AR app attributes (i.e. interactivity and virtuality) and customer-based brand equity (CBBE) (i.e. brand awareness and brand image) of luxury brands affect consumers’ behavioral intention to share about the app and use it for future purchases.

Design/methodology/approach
Participants were recruited using a quantitative online survey (n = 214) and asked to use the Gucci mobile AR app before completing the survey. Partial least squares structural equation modelling (PLS-SEM) was used to analyze the data. All measures were adapted from existing literature.

Findings
Findings indicate that AR app attributes lead to positive consumer experience, in turn, creating behavioral intention, while CBBE partially leads to positive consumer perceptions. Post hoc analysis confirms that consumers’ perceived values mediate the relationship between AR app attributes and consumers’ attitudes toward a luxury brand AR app.

Originality/value
Theoretically, this study expands the application of the S-O-R model along with brand equity to AR adoption and luxury retail by demonstrating the intricate mechanism of how AR app attributes and CBBE promote consumers’ behavioral intentions toward luxury brand AR apps. Practitioners may create more interactive and immersive virtual product demonstrations and focus on establishing the overall brand image.
University–industry collaborations as processual inter-organizational learning: implications of the third context
Authors: Thomassen Anja Overgaard 
Published: June 2024

Purpose
The purpose of this paper is to explicate how the processual third context learning approach provides new understandings and dimensions to the well-established terminology within the fields of inter-organizational learning and university–industry collaboration. These understandings and dimensions are empirically informed by an analysis of a collaboration between Aalborg University and Bang & Olufsen, a Danish loudspeaker manufacturer.

Design/methodology/approach
To fulfill the research purpose, a case study based on a participatory data collection strategy was applied in the collaboration between Aalborg University and Bang & Olufsen. Data were collected through a qualitative multimethod approach, comprising semi-structured interviews, field observations and field notes. Phenomenologically inspired content analysis revealed the themes outlined and discussed.

Findings
The third context framework was useful in outlining the complexity of a bidirectional collaboration. The inter-organizational learning processes were, for example, influenced by the actors’ recurrent inquiry of perplexities regarding the purpose and content of the collaboration. The extracted empirical findings are discussed and related to the fields of inter-organizational learning and university–industry collaboration, thereby explicating how a processual learning perspective provides new understandings and dimensions to collaboration across organizations.

Originality/value
The paper contributes empirically informed processual-learning dimensions to the literature on inter-organizational learning and university–industry collaboration.
Extrinsic calibration method for integrating infrared thermal imaging camera and 3D LiDAR
Authors: Zhang Dan , Yuan Junji , Meng Haibin , Wang Wei , He Rui , Li Sen 
Published: June 2024

PurposeIn the context of fire incidents within buildings, efficient scene perception by firefighting robots is particularly crucial. Although individual sensors can provide specific types of data, achieving deep data correlation among multiple sensors poses challenges. To address this issue, this study aims to explore a fusion approach integrating thermal imaging cameras and LiDAR sensors to enhance the perception capabilities of firefighting robots in fire environments.Design/methodology/approachPrior to sensor fusion, accurate calibration of the sensors is essential. This paper proposes an extrinsic calibration method based on rigid body transformation. The collected data is optimized using the Ceres optimization algorithm to obtain precise calibration parameters. Building upon this calibration, a sensor fusion method based on coordinate projection transformation is proposed, enabling real-time mapping between images and point clouds. In addition, the effectiveness of the proposed fusion device data collection is validated in experimental smoke-filled fire environments.FindingsThe average reprojection error obtained by the extrinsic calibration method based on rigid body transformation is 1.02 pixels, indicating good accuracy. The fused data combines the advantages of thermal imaging cameras and LiDAR, overcoming the limitations of individual sensors.Originality/valueThis paper introduces an extrinsic calibration method based on rigid body transformation, along with a sensor fusion approach based on coordinate projection transformation. The effectiveness of this fusion strategy is validated in simulated fire environments.