bluuebunny/crossref_metadata_2025 huggingface dataset:
A Qualitative Analysis of Low-Income Pregnant and Parenting Caregivers' Experiences With Home Visiting in California During the First 2 Years of the COVID-19 Pandemic
Authors: Franck Linda S. , Johnson Isabella , Mehra Renee , Remy Linda , Rienks Jennifer
Published: August 2023

Context:

In-person home visiting programs that provide evidence-based parenting and child development support improve outcomes for low-income children and families. The COVID-19 pandemic led to a shift from primarily in-person to virtual home visiting services, and little is known about clients' experience of home visiting in this context.

Objective:

To describe the experience of clients in the California Work Opportunity and Responsibility to Kids (CalWORKs) Home Visiting Program (HVP) across California during the first 2 years of the pandemic.

Design:

Three repeated cross-sectional surveys over a 2-year period. Clients' free-text responses to open-ended questions were analyzed using a directed content analysis approach.

Setting:

Forty-one counties in California.

Participants:

Current CalWORKs HVP clients and those who left the program in the 6 months prior to each survey.

Main Outcome Measures:

Clients' experience of the CalWORKs HVP.

Results:

Five main themes emerged: (1) benefits received from the program; (2) life challenges; (3) COVID-19–related or other program changes; (4) client dissatisfaction and suggestions for improvement; and (5) appreciation for the program. Clients valued the practical, financial, parenting, and interpersonal support provided to themselves and their children. Almost three-quarters commented on life challenges experienced during the program. Significant programmatic changes related to COVID-19 pandemic public health safety and organizational constraints impacted clients both positively and negatively. Very few clients experienced overt dissatisfaction with the program. Many clients expressed appreciation for the program, particularly the individualized and relational support offered by a consistent home visitor.

Conclusions:

The findings provide insights into the benefits and challenges experienced by clients receiving evidence-based home visiting services. The findings highlight the ongoing life challenges faced by clients who experience poverty, and how those challenges were exacerbated by a global pandemic. The CalWORKs HVP may buffer the substantial personal stresses clients experience related to parenting in the context of poverty and major public health challenges.
Systematic Review of Postoperative Velopharyngeal Insufficiency: Incidence and Association With Palatoplasty Timing and Technique
Authors: Xepoleas Meredith D. , Naidu Priyanka , Nagengast Eric , Collier Zach , Islip Delaney , Khatra Jagteshwar , Auslander Allyn , Yao Caroline A. , Chong David , Magee William P.
Published: August 2023

Cleft palate is among the most common congenital disorders worldwide and is correctable through surgical intervention. Sub-optimal surgical results may cause velopharyngeal insufficiency (VPI). When symptomatic, VPI can cause hypernasal or unintelligible speech. The postoperative risk of VPI varies significantly in the literature but may be attributed to differences in study size, cleft type, surgical technique, and operative age. To identify the potential impact of these factors, a systematic review was conducted to examine the risk of VPI after primary palatoplasty, accounting for operative age and surgical technique. A search of PubMed, Embase, and Web of Science was completed for original studies that examined speech outcomes after primary palatoplasty. The search identified 4740 original articles and included 35 studies that reported mean age at palatoplasty and VPI-related outcomes. The studies included 10,795 patients with a weighted mean operative age of 15.7 months (range: 3.1–182.9 mo), and 20% (n=2186) had signs of postoperative VPI. Because of the heterogeneity in reporting of surgical technique across studies, small sample sizes, and a lack of statistical power, an analysis of the VPI risk per procedure type and timing was not possible. A lack of data and variable consensus limits our understanding of optimal timing and techniques to reduce VPI occurrence. This paper presents a call-to-action to generate: (1) high-quality research from thoughtfully designed studies; (2) greater global representation; and (3) global consensus informed by high-quality data, to make recommendations on optimal technique and timing for primary palatoplasty to reduce VPI.
Closure of Giant Dorsal Lumbosacral Myelomeningocele in Children Using Double Expanded Flaps: A Case Report and Literature Review
Authors: Chen Xin , Shen Weimin , Han Tao , He Junping , Cui Jie
Published: August 2023

Introduction:

Myelomeningocele (MMC) is the most common neural tube defect that can occur due to neural tube’s failure to fuse properly during embryonic life. To prevent this, expanded flaps can be used for closure of large MMCs.

Presentation of Case:

A 4-year and 6-month girl was diagnosed with multiple congenital anomalies including hydrocephalus, dorsal lumbosacral MMC, and congenital tethered cord syndrome. Preoperative evaluation showed no lower limb movements and the size of the sacrococcygeal region was about 10 cm × 8 cm × 15 cm mass, prominent thoracic kyphosis, and no obvious urogenital or limb anomalies. The large dorsal lumbosacral MMC was treated with a double expanded flap to reconstruct, the soft tissue defect following the neurosurgical reconstruction.

Discussion:

The expanded flap was deemed as viable as all wounds were healed without any complications, such as dehiscence, leakage of cerebrospinal fluid, or infection. The technique described in the case report offers an effective method of closure.

Conclusion:

This flap can be an effective method for reconstruction of large dorsal lumbosacral MMC defects that might improve outcomes and minimize complications. It also ensures minimal wound tension and breakdown.
Promoting mitochondrial dynamic equilibrium attenuates sepsis-induced acute lung injury by inhibiting pro-inflammatory polarization of alveolar macrophages
Authors: Sun Maomao , Zeng Zhenhua , Xu Gege , An Sheng , Deng Zhiya , Cheng Ran , Yao Yi , Wu Junjie , Hu Hongbin , Huang Qiaobing , Wu Jie
Published: August 2023

Sepsis-induced acute lung injury (ALI)/acute respiratory distress syndrome (ARDS) is characterized by widespread pulmonary inflammation and immune response, in which pro-inflammatory polarization of alveolar macrophages (AMs) plays an important role. Mitochondria are the key intracellular signaling platforms regulating immune cell responses. Moreover, accumulating evidence suggests that the mitochondrial dynamics of macrophages are imbalanced in sepsis and severe ALI/ARDS. However, the functional significance of mitochondrial dynamics of AMs in septic ALI/ARDS remains largely unknown, and whether it regulates the polarized phenotype of AMs is also unclear. Here, we demonstrated that the mitochondrial dynamics of AMs are imbalanced, manifested by impaired mitochondrial fusion, increased fission and mitochondrial cristae remodeling, both in septic models and ARDS patients. However, suppressing excessive mitochondrial fission with Mdivi-1 or promoting mitochondrial fusion with PM1 to maintain mitochondrial dynamic equilibrium in AMs could inhibit the polarization of AMs into pro-inflammatory phenotype and attenuate sepsis-induced ALI. These data suggest that mitochondrial dynamic imbalance mediates altered polarization of AMs and exacerbates sepsis-induced ALI. This study provides new insights into the underlying mechanisms of sepsis-induced ALI, suggesting the possibility of identifying future drug targets from the perspective of mitochondrial dynamics in AMs.
TIME-DEPENDENT CHANGES IN PROINFLAMMATORY MEDIATORS ARE ASSOCIATED WITH TRAUMA-RELATED VENOUS THROMBOEMBOLISM
Authors: Mankame Atharwa R. , Sanders Kelly E. , Cardenas Jessica C.
Published: August 2023

Background: Tissue trauma and hemorrhage result in pronounced activation of the innate immune system. Given known crosstalk between inflammation and coagulation, soluble inflammatory mediators could be associated with venous thromboembolisms (VTEs) after major trauma. Objectives: This study aimed to identify plasma inflammatory mediators that are independent predictors of VTE risk in trauma patients. Methods: We performed a secondary analysis of the Pragmatic Randomized Optimal Platelets and Plasma Ratios (PROPPR) study. Plasma levels of 27 cytokines/chemokines were measured by Bio-Plex at admission and 2, 4, 6, 12, 24, 48, and 72 h later. Patients who died from exsanguination or within 24 h were excluded. Mann-Whitney tests were performed to assess no-VTE and VTE groups at each time point. Multivariable logistic regression was used to determine the adjusted effects of inflammatory mediators on VTE risk. Results: Eighty-six of the 575 patients (15%) included developed VTE. Interleukin (IL)-1ra, IL-6, IL-8, IL-10, eotaxin, granulocyte colony-stimulating factor, interferon-γ–inducible protein, monocyte chemoattractant protein 1 (MCP-1), and chemokine ligand 5 (regulated on activation, normal T cell expressed and secreted) were all significantly increased among VTE patients. Multivariable analyses demonstrated that IL-6, IL-8, interferon-γ–inducible protein, and MCP-1 were independently associated with VTE. Cox proportional hazards modeling identified IL-6, IL-8, and MCP-1 as independent predictors of accelerated VTE development. We identified significant correlations between inflammation and markers of coagulation and endothelial activation. Conclusion: Sustained systemic inflammation is a key driver of VTE risk after major trauma. Therapeutics targeting innate immune activation should be considered for development of future multimodal strategies to augment current VTE prophylaxis.
Territorial behaviour of thrush nightingales outside the breeding season
Authors: Brumm Henrik , de Framond Léna , Goymann Wolfgang
Published: August 2023

Territoriality is a common pattern of space use in animals that has fundamental consequences for ecological processes. In the tropics, all-year resident songbirds usually hold territories throughout the year, whereas most all-year resident temperate species are territorial only during the breeding season. In long-distance migrants, however, the situation is mostly unexplored. Here, we report findings from a Palaearctic–African migrant, the thrush nightingale
Luscinia luscina
. We found that only a fraction of the males was territorial in their East African winter quarters and that this was related to the stage of their song development. Individuals with full song were territorial towards other full songsters, but not towards birds that sang plastic song (i.e. an earlier stage of song development). Plastic singers were not territorial towards full songsters and often settled closely to territorial males. We suggest that territoriality of thrush nightingales in the winter quarters may be a by-product of rising testosterone levels that trigger song crystallization. Collectively, our study indicates that changes in territoriality can occur rapidly, giving rise to shifting proportions of territorial and non-territorial individuals in a population, which may lead to complex dynamics in settlement patterns and resulting ecological interactions.
Infectious diseases may have arrested the southward advance of microblades in Upper Palaeolithic East Asia
Authors: Aoki Kenichi , Takahata Naoyuki , Oota Hiroki , Wakano Joe Yuichiro , Feldman Marcus W.
Published: August 2023

An unsolved archaeological puzzle of the East Asian Upper Palaeolithic is why the southward expansion of an innovative lithic technology represented by microblades stalled at the Qinling–Huaihe Line. It has been suggested that the southward migration of foragers with microblades stopped there, which is consistent with ancient DNA studies showing that populations to the north and south of this line had differentiated genetically by 19 000 years ago. Many infectious pathogens are believed to have been associated with hominins since the Palaeolithic, and zoonotic pathogens in particular are prevalent at lower latitudes, which may have produced a disease barrier. We propose a mathematical model to argue that mortality due to infectious diseases may have arrested the wave-of-advance of the technologically advantaged foragers from the north.
Pre-Existing Inflammatory Disease Predicts Cutaneous Immunotherapy Toxicity Development: A Multi-Institutional Cohort Study
Authors: Wan Guihong , Nguyen Nga , Leung Bonnie W. , Rashdan Hannah , Tang Kimberly , Roster Katie , Collier Michael R. , Ugwu-Dike Pearl O. , Raval Neel S. , Alexander Nora A. , Jairath Ruple , Phillipps Jordan , Amadife Munachimso , Zhang Shijia , Gusev Alexander , Chen Steven T. , Reynolds Kerry L. , LeBoeuf Nicole R. , Kwatra Shawn G. , Semenov Yevgeniy R.
Published: August 2023

Background

Relationships between pre-existing inflammatory diseases (pIDs) and cutaneous immune-related adverse events (cirAEs) have not been well-studied. This study is to investigate associations between pIDs and cirAEs among immune-checkpoint inhibitor (ICI) recipients at the Mass General Brigham healthcare system.

Methods

Electronic health records were reviewed to ascertain cirAE status. Patients’ pID status was determined using International Classification of Diseases (ICD) codes. Cox proportional hazard, logistic regression, and linear regression models were performed.

Results

Among 3607 ICI recipients, 1354 had pIDs, and 672 developed cirAEs. After covariate adjustments, patients with cutaneous pIDs (HR:1.56, p<0.001) or both cutaneous and non-cutaneous pIDs (HR:1.76, p<0.001) had increased cirAE risk in contrast to patients with non-cutaneous pIDs alone (HR:1.01, p=0.9). In adjusted ordinal logistic regression modeling, cutaneous pIDs (OR:1.55, p<0.0001) and the presence of both cutaneous pIDs and non-cutaneous pIDs (OR:1.71, p=0.002) were associated with increased cirAE severity. The time to cirAE onset was different between the cutaneous pID group and the non-cutaneous pID group (Mean: 98 vs. 146 days, p=0.021; Beta: -0.11, p=0.033).

Conclusions

ICI recipients with cutaneous pIDs should have increased clinical monitoring due to their increased risk of cirAE development, severity, and earlier onset.
Building explainable graph neural network by sparse learning for the drug-protein binding prediction
Authors: Wang Yang , Shi Zanyu , Richardson Timothy , Huang Kun , Weerawarna Pathum , Wang Yijie
Published: August 2023

Explainable Graph Neural Networks (GNNs) have been developed and applied to drug-protein binding prediction to identify the key chemical structures in a drug that have active interactions with the target proteins. However, the key structures identified by the current explainable GNN models are typically chemically invalid. Furthermore, a threshold needs to be manually selected to pinpoint the key structures from the rest. To overcome the limitations of the current explainable GNN models, we propose our SLGNN, which stands for using Sparse Learning to Graph Neural Networks. Our SLGNN relies on using a chemical-substructure-based graph (where nodes are chemical substructures) to represent a drug molecule. Furthermore, SLGNN incorporates generalized fussed lasso with message-passing algorithms to identify connected subgraphs that are critical for the drug-protein binding prediction. Due to the use of the chemical-substructure-based graph, it is guaranteed that any subgraphs in a drug identified by our SLGNN are chemically valid structures. These structures can be further interpreted as the key chemical structures for the drug to bind to the target protein. We demonstrate the explanatory power of our SLGNN by first showing all the key structures identified by our SLGNN are chemically valid. In addition, we illustrate that the key structures identified by our SLGNN have more predictive power than the key structures identified by the competing methods. At last, we use known drug-protein binding data to show the key structures identified by our SLGNN contain most of the binding sites.

CCS CONCEPTS

• Computing methodologies→Neural networks;Supervised learning by classification;Neural networks.

ACM Reference Format

Yang Wang, Zanyu Shi, Timothy Richardson, Kun Huang, Pathum Weerawarna, and Yijie Wang. 2023. Building explainable graph neural network by sparse learning for the drug-protein binding prediction. InProceedings of Make sure to enter the correct conference title from your rights confirmation email (CNB MAC 2023). ACM, New York, NY, USA, 10 pages.https://doi.org/XXXXXXX.XXXXXXX
High tumor mutational burden predicts survival and responses to ICI immunotherapy in a cancer-dependent manner
Authors: Tang Feng , Lan Tian , Liu Zhen-Yuan , Wang Ze-Fen , Li Zhi-Qiang
Published: August 2023

Objective

High tumor mutational burden (TMB) is a promising biomarker for patients with immunotherapy in certain types of solid tumors. This article focuses on exploring possible universally optimal cutoffs of TMB for predicting immune checkpoint inhibitors (ICIs) response and prognosis for eight types of cancers.

Methods

The present study collected eight types of tumors including 2767 patients receiving immune checkpoint inhibitors (ICIs) treatment and 14862 patients without ICI treatment. We tried to explore optimal cutoffs of TMB in each type of tumor via selecting several possible cutoffs of TMB including 10mut/Mb, top 10%, 20%, and 30% of TMB within each histology.

Results

We found that there was a significant difference in TMB values between ICI-treated and non-ICI-treated groups. The cutoff of TMB appropriate for predicting response rates, progression rates, and survival rates was varied in ICI therapy patients. Moreover, the optimal cutoff of TMB for predicting progression-free survival and overall survival in different types of the tumor was also quietly different.

Conclusion

Our current study suggested that TMB predicts prognosis and responses to ICI treatment in a cancer-dependent manner.
Attacks on Ukrainian healthcare facilities during the first year of the full-scale Russian invasion of Ukraine
Authors: Barten Dennis G. , Tin Derrick , Granholm Fredrik , Rusnak Diana , van Osch Frits , Ciottone Gregory
Published: August 2023

Background

Although the Geneva Conventions and Rome Statute demand protections for healthcare facilities during war, breaches of these protections are frequently reported. The ongoing war in Ukraine is no exception, with several healthcare attacks eliciting widespread condemnation. The Ukrainian Healthcare Center (UHC) has been collecting, verifying and documenting attacks on health infrastructure since the Russia-Ukraine War was launched. The aim of this study was to assess UHC documented healthcare facility attacks during the first year (24 February 2022 to 25 February 2023) of the full-scale Russian invasion of Ukraine.

Methods

The Berkeley Protocol on Digital Open Source Investigations was used to document healthcare attacks. Data collection included temporal factors, location, facility type, attack and weapon type, number of killed and injured healthcare personnel and civilians, and whether facilities were damaged, destroyed or attacked more than once.

Results

There were 334 documented attacks on 267 Ukrainian healthcare facilities, with 230 facilities being damaged and 37 destroyed. General hospitals, primary care clinics, emergency departments and children’s hospitals were most frequently targeted. The majority of attacks took place during the first three months and in eastern Ukrainian oblasts. Heavy weaponry was employed in almost all attacks. The total number of casualties included 97 fatalities and 114 injuries.

Conclusions

During the first year of the full-scale Russian invasion of Ukraine, there were 334 attacks on 267 Ukrainian healthcare facilities documented by the UHC. Heavy weaponry was commonly used, and the direct impact of attacks was considerable in terms of facility damage and casualty tolls.
Inflation and interest rate dynamics in Ghana: the supply-side perspective
Authors: Yemidi Solomon , Nkansa Asante Grace , Takyi Paul Owusu
Published: August 2023

Purpose

The purpose of this research is to examine the impact of alterations in the path of monetary policy rates on inflation via the supply side of an emerging economy.

Design/methodology/approach

The study employed semi-annual data covering the period 2007S1 to 2020S2 on the inflation rate, the combined outputs of industry and agriculture, the lending rate, and the monetary policy rate. The vector autoregression model was estimated and counterfactual simulation exercises were conducted.

Findings

The study revealed that a move from a higher to a lower monetary policy rate regime resulted in a shift in inflation from a higher to a lower regime. In particular, a 200-basis point reduction in the monetary policy rate over the simulation horizon produces a 1.3% fall in the inflation rate over the same period.

Research limitations/implications

The study has a limitation due to the unavailability of a long-span dataset on all relevant variables. As a result, it is important to exercise caution when interpreting the study's findings. A potential area for further research is to explore how changes in interest rates impact inflation in the real economy by utilising other multiple-variable time series techniques.

Practical implications

It is the opinion of the authors that for inflation in Ghana to move to a lower regime, conscious efforts should be made by the monetary authorities to gradually move from a regime of a high monetary policy rate to a lower one.

Social implications

In particular, a 200-basis point reduction in the MPR over the simulation horizon produces a 1.3% fall in the inflation rate over the same period.

Originality/value

This study enhances the authors' knowledge of how monetary policy can affect inflation in developing countries through the supply-side channel.
Analyses of unintended consequences of IAS 12 on deferred income taxes
Authors: Edeigba Jude , Gyapong Ernest , Tawiah Vincent Konadu
Published: August 2023

Purpose

An intractable effect of revenue and expense recognition based on tax regulation and accounting rules is unresolved and may be manageable only by reducing the value of deferred taxes. Therefore, in this study, the authors examined the relationship between the International Accounting Standard 12 (IAS 12) and deferred income taxes associated with tax and accounting rules.

Design/methodology/approach

The authors used a large sample of balanced data from 144 firms across 1992–2019. To mitigate the problem of superfluous results, the authors used the same number of firms and years for pre- and post-IAS 12 periods. The authors employed robust econometric estimations to establish the impact of IAS 12 on deferred tax.

Findings

The regression results show that deferred tax assets decreased significantly, whereas deferred tax liabilities increased significantly, in the post-IAS 12 period. These contrasting results imply that IAS 12 implementation has increased conservatism and prudence in financial reporting. However, the authors find that the increase in deferred tax assets post-IAS 12 is value destructive, suggesting that its implementation has unintended consequences. The results are robust to alternative measurements and econometric identification strategies.

Originality/value

While prior studies have explored topics such as deferred tax measurement and the impact of income and expense recognition, the authors specifically analyzed how IAS 12 affects deferred taxes and their effect on the market valuation. The authors find that certain accounting standards may not be relevant to the capital market.
A Gaussian multi-scale space difference method to multiple slight damage localization based on strain modes
Authors: Song Xueli , Wang Fengdan , Li Rongpeng , Xiao Yuzhu , Li Xinbo , Deng Qingtian
Published: August 2023

Purpose

In structural health monitoring, localization of multiple slight damage without baseline data is significant and difficult. The purpose of this paper is to discuss these issues.

Design/methodology/approach

Damage in the structure causes singularities of displacement modes, which in turn reveals damage. Methods based on the displacement modes may fail to accurately locate the slight damage because the slight damage in engineering structure results in a relatively small variation of the displacement modes. In comparison with the displacement modes, the strain modes are more sensitive to the slight damage because the strain is the derivative of the displacement. As a result, the slight variation in displacement data will be magnified by the derivative, leading to a significant variation of the strain modes. A novel method based on strain modes is proposed for the purpose of accurately locating the multiple slight damage.

Findings

In the two bay beam and steel fixed-fixed beams, the numerical simulations and the experimental cases, respectively, illustrate that the proposed method can achieve more accurate localization in comparison with the one based on the displacement modes.

Originality/value

The paper offers a practical approach for more accurate localization of multiple slight damage without baseline data. And the robustness to measurement noise of the proposed method is evaluated for increasing levels of artificially added white Gaussian noise until its limit is reached, defining its range of practical applicability.
A sustainable rural entrepreneurship model developed by the organic farmers of India
Authors: Tomar Sushant , Sharma Neeraj , Nehra Nagendra Singh
Published: August 2023

Learning outcomes

Teaching objective 1: To flourish and explore the current business model to get socioeconomic benefits from organic farming compared to conventional farming; in the context of hill farming. Teaching objective 2: To explore and design innovative entrepreneurship opportunities in the field of organic farming and how these opportunities can be seized by using managerial skills. Teaching objective 3: To analyze the economic benefits of organic farming compared to conventional farming.

Case overview/synopsis

Manj Gaon is a small village in the Tehri Garhwal district of Uttarakhand. This village serves as the Uttarakhand Organic Commodity Board’s training facility. Organic farming was the primary source of income for farmers in the late 1970s, but the Green Revolution in India had a negative impact on agriculture, the environment and the economy of the country. After the Green Revolution, the agriculture sector was completely dominated by conventional farming, and the use of chemical fertilizers, pesticides and insecticides affected the village to some extent. But farmers like Bhagchand Ramola paved the way for other farmers to grow and shine through organic farming. The organic farming model developed by Ramola was helping farmers and society in several aspects, such as the economy, health and the environment. A self-developed organic farming model had been generating fair revenue for the farmers and uplifting their socioeconomic status as compared to conventional farming. Complete adoption of organic farming in the village requires an analysis in terms of sustainable economic growth. However, there was a certain dilemma that was stifling the growth of the newly adopted business model because farmers were dependent only on Japanese buyers and input providers. So, there was a huge need to tie up with other consulates across the country. Secondly, expanding a business model requires more input and output in terms of manpower and revenue, so persuading conventional farmers to adopt the organic farming model was quite a challenge for Ramola.

Complexity academic level

The case can be taught to the MBA-level students.

Supplementary materials

Teaching notes are available for educators only.

Subject code

CSS 11: Strategy.
Defect detection of color-patterned fabric based on DenoisingGAN
Authors: Zhang Hongwei , Wang Shihao , Mi Hongmin , Lu Shuai , Yao Le , Ge Zhiqiang
Published: August 2023

Purpose

The defect detection problem of color-patterned fabric is still a huge challenge due to the lack of manual defect labeling samples. Recently, many fabric defect detection algorithms based on feature engineering and deep learning have been proposed, but these methods have overdetection or miss-detection problems because they cannot adapt to the complex patterns of color-patterned fabrics. The purpose of this paper is to propose a defect detection framework based on unsupervised adversarial learning for image reconstruction to solve the above problems.

Design/methodology/approach

The proposed framework consists of three parts: a generator, a discriminator and an image postprocessing module. The generator is able to extract the features of the image and then reconstruct the image. The discriminator can supervise the generator to repair defects in the samples to improve the quality of image reconstruction. The multidifference image postprocessing module is used to obtain the final detection results of color-patterned fabric defects.

Findings

The proposed framework is compared with state-of-the-art methods on the public dataset YDFID-1(Yarn-Dyed Fabric Image Dataset-version1). The proposed framework is also validated on several classes in the MvTec AD dataset. The experimental results of various patterns/classes on YDFID-1 and MvTecAD demonstrate the effectiveness and superiority of this method in fabric defect detection.

Originality/value

It provides an automatic defect detection solution that is convenient for engineering applications for the inspection process of the color-patterned fabric manufacturing industry. A public dataset is provided for academia.
Understanding online reviews adoption in social network communities: an extension of the information adoption model
Authors: Bao Zheshi , Zhu Yun
Published: August 2023

Purpose

Online reviews derived from peer communications have been increasingly viewed as an important approach for consumers to gather pre-purchase information. This study aims to examine factors affecting online reviews adoption in social network communities and then indicates the underlying mechanism of this process based on an extended information adoption model (IAM).

Design/methodology/approach

Using the data collected from 242 users of a social network community via an online survey, the proposed model is empirically assessed by partial least squares-based structural equation model (PLS-SEM).

Findings

The results show that both perceived diagnosticity and perceived serendipity are drivers of online reviews adoption in social network communities. Meanwhile, community identification is not only an antecedent of diagnosticity and serendipity perceived by community members, but also motivates source credibility which, in turn, positively influences argument quality. Finally, the importance of argument quality and source credibility in reviews adoption process is also presented.

Originality/value

This study extends the IAM and enriches the literature regarding online reviews adoption. It deepens the understanding of serendipitous experiences and community identification in social networking context by addressing their important roles in the authors' extended IAM.
Predicting the impact of big data analytics capability and green absorptive capacity on green entrepreneurship orientation and eco-innovation
Authors: Makhloufi Lahcene
Published: August 2023

Purpose

Based on the dynamic capability view, this study aims to draw for the first time the missing link between big data analytics capabilities (BDAC) on both green absorptive capacity (GAC) and green entrepreneurship orientation (GEO). It is theoretically necessary to address how BDAC levels up the GAC to achieve the same level of GEO and then respond to their green business agenda. In addition, the study introduces knowledge sharing (KS) and green organizational ambidexterity (GOA) as potential moderating factors in the relationship between GEO and eco-innovation and explores the mediation role of GAC in the BDAC–GEO relationship.

Design/methodology/approach

The study collected 268 questionnaires from employees working in Chinese manufacturing firms using a self-administered survey and cross-sectional research design. The study applied SmartPLS to analyze the obtained data.

Findings

The findings revealed that BDAC positively and significantly influences GAC and GEO, positively impacting eco-innovation. The KS and GOA's moderation effect strengthens the relationship between GEO and eco-innovation. GAC partially mediates the relationship between BDAC and GEO.

Practical implications

The study advises firms to invest heavily in developing technological aspects of BDAC as a dynamic strategic capability that facilitates tracking and anticipating the future behavior changes of customers, competitors and market demands. BDAC also allows firms to upgrade and reconfigure their dynamic capabilities by responding to managerial, operational and strategic necessities. BDAC is necessary to increase GAC's impact and help drive GEO's eco-business agenda. Notably, the study gave superior attention to KS and GOA as a backbone of GEO to improve eco-innovation economic and managerial outcomes.

Originality/value

The study highlights the necessity to upgrade and integrate technological aspects of BDAC within firms' GEO to enhance green practices. Significantly, green business practices changed quickly as customers' needs and eco-markets fluctuated; BDAC is the crucial dynamic capability fostering GAC and entrepreneurs' green mindset to deal with environmental challenges. To the best of the author’s knowledge, this study is to predict the potential effect of BDAC on both GAC and GEO. BDAC helps firms to develop GEO eco-business agenda and balance green growth with green issues.
Analysis of transparent building envelope renovations for indoor thermal comfort in an educational building
Authors: Aydın Dinçer , Yılmaz Erten Şule
Published: August 2023

Purpose

The buildings should be designed by respecting the environmental and climatic conditions they are in and their orientation. Then, the characteristics of the building envelope (BE) play an important role in building energy consumption and user comfort. In fact, the type and material of glazing is one of the crucial parameters for BE. The transparency ratio of BE also determines the façade performance. The aim of this study is to analyze the different renovation scenarios for BE with high transparency of an educational building (EB) in hot summer weather to obtain indoor thermal comfort (ITC) for users.

Design/methodology/approach

The methodology includes thorough measurement of existing ITC using TESTO-440 and simulation of each retrofit scenario using DesignBuilder building energy modeling (BEM) simulation software with Energyplus to determine optimal thermal comfort. Since the study focuses on the impact of the transparent BE on summer ITC, four main scenarios, naturally ventilated (NV) façade, film-coated glass façade, replacement of glazing with opaque units, sun-controlled façade with overhang and solar shading, were simulated. The results were analyzed comparatively on both performance and cost to find the best renovation solutions.

Findings

A total of 7 different renovation scenarios were tested. Simulation results show that passive systems such as NV have limited contribution to indoor air temperature (IAT) improvement, achieving only a 4 °C reduction while offering the lowest cost. A film coating resulted in a reduction of 3–6 °C, but these applications have the highest cost and least impact on ITC. It was found that exterior coating leads to better results in film coating. Preventing and limiting the increase in IAT was achieved by reducing the transparency ratio of BE. The best results were obtained in these scenarios, and it was possible to reduce IAT by more than 10 °C. The best performance/cost value were also obtained by decreasing transparency ratio of roof and sun control.

Research limitations/implications

Since the high transparency ratio has a negative impact on summer comfort, especially in hot climate zones, summer ITC was prioritized in the renovation solutions for the case building.

Originality/value

The study’s findings present a range of solutions for improving the ITC of highly transparent buildings. The solutions can help building managers see the differences in renovation costs and their impacts on ITC to decrease the cooling load of the existing buildings.
Explorations in organized hypocrisy and a proposed direction for a sustainable future
Authors: Farias Gerard , Landrum Nancy E. , Farias Christine , Krysa Isabella
Published: August 2023

Purpose

Since the Brundtland report’s call for sustainability, planetary conditions have deteriorated. This paper suggests that corporate hypocrisy is a major barrier toward the adoption of sustainability and offers a typology of business behavior that can move closer toward the adoption of true and strong sustainability.

Design/methodology/approach

This article uses a normative lens to build upon prior literature and anecdotal evidence from the field to present a typology of business archetypes that represent a variety of responses toward sustainability.

Findings

The authors propose five typologies of business behavior that represent responses toward sustainability: business-as-usual, hypocritical pretender, hypocritical co-opter, responsible enterprise and purposeful enterprise. The first three typologies represent existing hypocritical approaches using weak sustainability. The last two typologies decrease corporate hypocrisy; improve alignment of talk, decisions and action; and help an organization adopt true and strong sustainability.

Research limitations/implications

This is a normative paper that critiques existing literature and practices in corporate sustainability and proposes new directions. It necessitates further research in the form of case studies and empirical cross-sectional and longitudinal analysis. It implies assessing firm impact in non-traditional ways and will call for the development of new measures and indicators of firm performance from a social and environmental perspective.

Practical implications

The typology can provide practitioners and researchers with one possible solution to eliminate or decrease corporate hypocrisy in relation to sustainability, reporting and communications.

Social implications

Planetary conditions have worsened, and business activity continues to contribute to deteriorating conditions. This research attempts to help businesses move away from hypocritical and destructive practices and to adopt true and strong sustainability practices for a flourishing planet. Furthermore, the authors articulate policy and practice recommendations in this context.

Originality/value

After decades of failure to make progress in achieving planetary sustainability, this research offers a model for practitioners and researchers to use in defining the actions necessary to achieve the elusive concept of sustainability.
Higher dung seedling density increases livestock dung greenhouse gas emissions in an alpine meadow
Authors: Wang Shulin , Hou Fujiang
Published: August 2023

The dung seed bank (i.e. vegetation renewal) and greenhouse gas (GHG, e.g. carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O), which contributing to global warming) emissions (i.e. materials circulation) are two of the most important ecological functions of livestock dung in grassland ecosystems. With decomposition of faeces, dung seedling density (e.g. increase) and GHG emission (e.g. decrease) changes proceeded simultaneously. Although these two processes have so far been studied in isolation, almost no studies have explored the effects of dung seedlings on GHG emissions.

We collected the dung of three livestock species—yak, sheep and horse—during late April (i.e. early warm season) in an alpine meadow in the northeastern Qinghai‐Tibetan Plateau (QTP). The livestock dung seedling composition and GHG fluxes were determined on Days 1, 6, 11, 16, 21, 26, 31, 37, 53 and 60 of germination, and we used frozen and ground faeces as the control group.

The average seedling density of horse dung was significantly greater than that of yak and sheep. The GHG fluxes in the collected native dung samples were significantly greater than those of the dung controls, and the fluctuations in CO2, CH4 and N2O all showed a pattern of yak dung > horse dung > sheep dung. Over the course of the experiment, the GHG fluxes of both the experimental and control groups gradually decreased; however, the GHG emissions of the experimental group declined faster than those of the control group.

There was a significant negative correlation between dung seedling density and GHG fluxes. Dung seedlings provide a reference for estimation of GHG emissions from livestock faeces.

Synthesis and applications. Our research has revealed the features of and interactions between two important ecological functions of livestock dung in the grazing system. Furthermore, dung seedlings could substantially affect GHG fluxes and emission rates of livestock dung patches. The contributions of dung seeds to GHG emissions should be considered when estimating global warming potential from grazing livestock on the QTP for the purposes of determining national and regional land use policies and compiling global GHG inventories.
Trade diversion effects of the US–China trade war on Vietnam
Authors: Choi Bo‐Young , Nguyen Thuy Linh
Published: August 2023

This paper empirically examines the US–China trade war that began in mid‐2018, focusing on the impact on a third country, Vietnam. Using regression analysis, we found that while the trade war had a negative impact on US imports from China for all targeted products, there was a partial offset from increased imports from other countries. Notably, US imports from Vietnam experienced a sharp increase, particularly after the third round of US import tariffs on Chinese goods. Additionally, our research reveals that the four rounds of tariff escalation affected US imports from China differently depending on their end‐use and technology intensity.
Broad time‐dependent transcriptional activity of metabolic genes of E. coli O104:H4 strain C227/11Φcu in a soil microenvironment at low temperature
Authors: Detert Katharina , Währer Jonathan , Nieselt Kay , Schmidt Herbert
Published: August 2023

In the current study, metabolic genes and networks that influence the persistence of pathogenic Escherichia coli O104:H4 strain C227/11Φcu in agricultural soil microenvironments at low temperature were investigated. The strain was incubated in alluvial loam (AL) and total RNA was prepared from samples at time point 0, and after 1 and 4 weeks. Differential transcriptomic analysis was performed by RNA sequencing analysis and values obtained at weeks 1 and 4 were compared to those of time point 0. We found differential expression of more than 1500 genes for either time point comparison. The two lists of differentially expressed genes were then subjected to gene set enrichment of Gene Ontology terms. In total, 17 GO gene sets and 3 Pfam domains were found to be enriched after 1 week. After 4 weeks, 17 GO gene sets and 7 Pfam domains were statistically enriched. Especially stress response genes and genes of the primary metabolism were particularly affected at both time points. Genes and gene sets for uptake of carbohydrates, amino acids were strongly upregulated, indicating adjustment to a low nutrient environment. The results of this transcriptome analysis show that persistence of C227/11Φcu in soils is associated with a complex interplay of metabolic networks.
Histological and immunohistochemical characterization of mucosa‐associated lymphoid tissue and antigen‐presenting cells in trachea and lung of cattle
Authors: Thomasmeyer Anne , Reineking Wencke , Hewicker‐Trautwein Marion
Published: August 2023

The presence of bronchus‐associated lymphoid tissue (BALT) and its structural components has been described in different healthy animal species and in animals with diseases of the respiratory tract. In contrast to normal mammals, BALT is absent in healthy human adult lungs, but has been found in the lungs of children. The histological characteristics of organized mucosa‐associated lymphoid tissue (MALT), its subsets of immune cells and their in situ distribution in the lung of healthy subadult and adult cattle shows close similarities with BALT in humans and other animal species such as sheep, horses and pigs. This study clearly demonstrates that organized MALT also occurs in the tracheal mucosa of cattle. The absence of tracheal MALT and BALT in calves suggest that these structures are not constitutive. In the mucosa of bovine trachea, bronchi and bronchioli, MHC II+ and CD11c+ dendritic cells (DCs) are located in the epithelium and in the lamina propria mucosae. These DCs are already present in calves soon after birth. Examination of tangential epithelial sheets shows that in the bovine tracheal epithelium, like in man and rat, a dense network of MHC II+ and CD11c+ DCs exists and that their number is considerably higher than in conventional transverse sections. In the bovine tracheal and bronchial epithelium, MHC II+ DCs are extending their dendrites towards the lumen indicating that these DCs possibly are involved in sampling of luminal antigens. The presence of significantly higher numbers of MHC II+ DCs in the tracheal and bronchial/bronchiolar mucosa of older cattle in than in calves possibly results from local stimulation with exogenous antigens during postnatal life. Detection of DCs expressing the costimulatory molecules CD80 and CD86 in calves and cattle suggests maturation of DCs, which is most likely induced by stimulation with exogenous antigens.