Measuring the impact of corporate social responsibility in the energy sector

Energy companies are in the spotlight regarding the environmental pressure to address the current environmental issues by initiating the sets of social responsibilities. Energy sector companies are actively adopting Corporate Social Responsibility (CSR) practices to address the increased pressure and enablement to manage and prevent the risks of environmental impact at the same time concentrating on the economic growth. The current study provides a systematic literature review identifying CSR initiative measures towards sustainability and proposes a framework of CSR measurements in the energy sector. The framework combines the Search, Appraisal, Synthesis, and Analysis (SALSA) method together with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and PSALSAR (Protocol, Search, Appraisal, Synthesis, Analysis and Report). Moreover, for setting the research scope, PICOC (Population, Intervention, Comparison, Outcome, and Context) is applied. As a result, eleven CSR measures for the energy sector were identified. The measurements were classified into 4 pillars: environmental pillar, stakeholder communication and external image, financial pillar, and organizational pillar. The environmental impact and GHG reduction align with the ecological modernization theories. Green energy innovations find theoretical resonance in the diffusion of innovation theories. Stakeholder engagement and branding link to the stakeholder theory, while financial performance, to the shareholder value theories. Occupational health and safety theory support the employee safety and corporate culture considerations. These measures, selected through theoretical lenses and systematic review, contribute to shaping a sustainable energy landscape. Furthermore, the research results were discussed, and the future research agenda together with policy recommendations were provided.

SALSA-Net: Explainable Deep Unrolling Networks for Compressed Sensing

Deep unrolling networks (DUNs) have emerged as a promising approach for solving compressed sensing (CS) problems due to their superior explainability, speed, and performance compared to classical deep network models. However, the CS performance in terms of efficiency and accuracy remains a principal challenge for approaching further improvements. In this paper, we propose a novel deep unrolling model, SALSA-Net, to solve the image CS problem. The network architecture of SALSA-Net is inspired by unrolling and truncating the split augmented Lagrangian shrinkage algorithm (SALSA) which is used to solve sparsity-induced CS reconstruction problems. SALSA-Net inherits the interpretability of the SALSA algorithm while incorporating the learning ability and fast reconstruction speed of deep neural networks. By converting the SALSA algorithm into a deep network structure, SALSA-Net consists of a gradient update module, a threshold denoising module, and an auxiliary update module. All parameters, including the shrinkage thresholds and gradient steps, are optimized through end-to-end learning and are subject to forward constraints to ensure faster convergence. Furthermore, we introduce learned sampling to replace traditional sampling methods so that the sampling matrix can better preserve the feature information of the original signal and improve sampling efficiency. Experimental results demonstrate that SALSA-Net achieves significant reconstruction performance compared to state-of-the-art methods while inheriting the advantages of explainable recovery and high speed from the DUNs paradigm.

Surfactant Administration Through Laryngeal or Supraglottic Airways (SALSA): A Viable Method for Low-Income and Middle-Income Countries

Administration of liquid surfactant through an endotracheal tube for the treatment of respiratory distress syndrome has been the standard of care for decades. A skilled health care provider is needed to perform this procedure. In lower-income and middle-income countries (LMICs), healthcare resources are often limited, leading to increased mortality of premature infants, many of whom would benefit from surfactant administration. Therefore, having a simplified procedure for delivery of surfactant without the need for advanced skills could be life-saving, potentially diminish gaps in care, and help ensure more equitable global neonatal survival rates. Modifications to the standard approach of surfactant administration have been put into practice and these include: INtubation-SURfactant-Extubation (INSURE), thin catheter surfactant administration (TCA), aerosolized surfactant, and surfactant administration through laryngeal or supraglottic airways (SALSA). Although there is a need for larger studies to evaluate the comparative effectiveness of these newer methods, these methods are being embraced by the global community and being implemented in various settings throughout the world. Because the SALSA technique does not require laryngoscopy, a provider skilled in laryngoscopy is not required for the procedure. Therefore, because of the ease of use and safety profile, the SALSA technique should be strongly considered as a viable method of delivering surfactant in LMICs.

Tissue N-Glycan Analysis Using LC-MS, MS/MS, and MSn

Tissue glycans usually contain various structures, from simple to highly complicated, in different quantities. N-Glycans are particularly heterogeneous, with up to pentaantennary structures, different branch sequences, and several isomeric structures. 2-Aminopyridine (PA) tagging on released N-glycans is useful for separating isomers and to quantitatively analyze both the major and minor glycan structures in tissues using reversed-phase liquid chromatography (LC)-mass spectrometry (MS) and MS/MS analysis. Because the structural differences of PA-N-glycans influence their retention on a reversed-phase C18 column, it is easy to deduce the core structure, including core Fuc and bisecting GlcNAc as well as the branching pattern of each PA-N-glycan, based on the results of elution position, full MS, and MS/MS analysis. If more detailed structural analysis is required, combining sequential exoglycosidase digestions, sialic acid linkage-specific alkylamidation (SALSA), and/or SALSA/permethylation is useful for determining glycosidic linkages of branches. This article includes detailed protocols for the preparation of N-glycans released from glycoproteins/glycopeptides by glycoamidase F or hydrazinolysis, PA-tagging of N-glycans, fractionation with anion-exchange chromatography, and chemical or enzymatic modifications of PA-N-glycans, as well as reversed-phase LC-MS, MS/MS, and MSⁿ analysis of PA-N-glycans from tissues. © 2021 Wiley Periodicals LLC. Basic Protocol 1: Preparation of released N-glycans from tissue samples using glycoamidase F Alternate Protocol: Preparation of released N-glycans from tissue samples by hydrazinolysis Basic Protocol 2: PA-tagging of N-glycans and sample cleanup Support Protocol 1: Monitoring of PA-N-glycans using normal-phase HPLC Basic Protocol 3: Anion-exchange chromatography of PA-N-glycans Basic Protocol 4: Sequential exoglycosidase digestions Basic Protocol 5: Determination of Sia-linkages by SALSA Support Protocol 2: Cotton-HILIC solid-phase extraction to remove reagents for alkylamidation Basic Protocol 6: Sequential modifications of glycans with SALSA and permethylation Basic Protocol 7: LC-MS and MS/MS analysis of PA-N-glycans (before permethylation) Basic Protocol 8: LC-MS, MS/MS, and MSⁿ analysis of PA-N-glycans (after permethylation).

Isolation, identification, and characterization of the human airway ligand for the eosinophil and mast cell immunoinhibitory receptor Siglec-8

BACKGROUND

The immunoinhibitory receptor Siglec-8 on the surface of human eosinophils and mast cells binds to sialic acid-containing ligands in the local milieu, resulting in eosinophil apoptosis, inhibition of mast cell degranulation, and suppression of inflammation. Siglec-8 ligands were found on postmortem human trachea and bronchi and on upper airways in 2 compartments, cartilage and submucosal glands, but they were surprisingly absent from the epithelium. We hypothesized that Siglec-8 ligands in submucosal glands and ducts are normally transported to the airway mucus layer, which is lost during tissue preparation.

OBJECTIVE

Our aim was to identify the major Siglec-8 sialoglycan ligand on the mucus layer of human airways.

METHODS

Human upper airway mucus layer proteins were recovered during presurgical nasal lavage of patients at a sinus clinic. Proteins were resolved by gel electrophoresis and blotted, and Siglec-8 ligands detected. Ligands were purified by size exclusion and affinity chromatography, identified by proteomic mass spectrometry, and validated by electrophoretic and histochemical colocalization. The affinity of Siglec-8 binding to purified human airway ligand was determined by inhibition of glycan binding.

RESULTS

A Siglec-8-ligand with a molecular weight of approximately 1000 kDa was found in all patient nasal lavage samples. Purification and identification revealed deleted in malignant brain tumors 1 (DMBT1) (also known by the aliases GP340 and SALSA), a large glycoprotein with multiple O-glycosylation repeats. Immunoblotting, immunohistochemistry, and enzyme treatments confirmed that Siglec-8 ligand on the human airway mucus layer is an isoform of DMBT1 carrying O-linked sialylated keratan sulfate chains (DMBT1^S8). Quantitative inhibition revealed that DMBT1^S8 has picomolar affinity for Siglec-8.

CONCLUSION

A distinct DMBT1 isoform, DMBT1^S8, is the major high-avidity ligand for Siglec-8 on human airways.

Method for conducting systematic literature review and meta-analysis for environmental science research

This paper presents a method to conduct a systematic literature review (SLR) and meta-analysis studies on environmental science. SLR is a process that allowed to collect relevant evidence on the given topic that fits the pre-specified eligibility criteria and to have an answer for the formulated research questions. Meta-analysis needs the use of statistical methods that can be descriptive and/or inferential to summarizing data from several studies on the specific topic of interest. The techniques help to generate knowledge from multiple studies both in qualitative and quantitative ways. The usual method has four basic steps: search (define searching string and types of databases), appraisal (pre-defined literature inclusion and exclusion, and quality assessment criteria), synthesis (extract and categorized the data), and analysis (narrate the result and finally reach into conclusion) (SALSA). However, this work added two steps which are research protocol (define the research scope) and reporting results (stating the procedure followed and communicating the result to the public) at the initial and last step, respectively. As a result, the new method has six basic steps which are abbreviated as PSALSAR. Therefore, this method is applicable to assess the existing knowledge, trends, and gaps in ecosystem services.

In sum, this literature review method presents:

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The PSALSAR method is an explicit, transferable and reproducible procedure to conduct systematic review work.

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It helps to assess both quantitative and qualitative content analysis of the literature review.

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The procedure listed here added two basic steps (protocol and reporting result) on a commonly known SALSA framework.

Bilingualism in older Mexican-American immigrants is associated with higher scores on cognitive screening

Background

Bilingualism may protect against cognitive aging and delay the onset of dementia. However, studies comparing monolinguals and bilinguals on such metrics have produced inconsistent results complicated by confounding variables and methodological concerns.

Methods

We addressed this issue by comparing cognitive performance in a more culturally homogeneous cohort of older Spanish-speaking monolingual (n = 289) and Spanish-English bilingual (n = 339) Mexican-American immigrants from the Sacramento Longitudinal Study on Aging.

Results

After adjusting for demographic differences and depressive symptoms, both groups performed similarly at baseline on verbal memory but the bilingual group performed significantly better than the monolingual group on a cognitive screening test, the Modified Mini-Mental State Examination (3MS; p < 0.001). Group differences on the 3MS were driven by language/executive and language/praxis factors. Within the bilingual group, neither language of testing nor degree of bilingualism was significantly associated with 3MS or verbal memory scores. Amongst individuals who performed in the normal or better range on both tests at baseline and were followed for an average of 6 years, both monolinguals and bilinguals exhibited similar rates of cognitive decline on both measures.

Conclusions

These findings suggest that bilingualism is associated with modest benefits in cognitive screening performance in older individuals in cross-sectional analyses that persist across longitudinal analyses. The effects of bilingualism should be considered when cognitively screening is performed in aging immigrant populations.

Electronic supplementary material

The online version of this article (doi:10.1186/s12877-016-0368-1) contains supplementary material, which is available to authorized users.

Phylogenetic analysis and positive-selection site detecting of vascular endothelial growth factor family in vertebrates

Vascular endothelial growth factor (VEGF), known to play an important role in vascular homeostasis, vascular integrity and angiogenesis, is little known about the evolutionary relationship of its five members especially the role of gene duplication and natural selection in the evolution of the VEGF family. In this study, seventy-five full-length cDNA sequences from 33 vertebrate species were extracted from the NCBI's GenBank, UniProt protein database and the Ensembl database. By phylogenetic analyses, we investigated the origin, conservation, and evolution of the VEGFs. Five VEGF family members in vertebrates might be formed by gene duplication. The inferred evolutionary transitions that separate members which belong to different gene clusters correlated with changes in functional properties. Selection analysis and protein structure analysis were combined to explain the relationship of the site-specific evolution in the vertebrate VEGF family. Eleven positive selection sites, one transmembrane region and the active sites were detected in this process.