Relevant Information Research Articles

Evaluating emergency service response to COVID-19: A scoping review.

The issue of how emergency services (police, fire, ambulance, local authorities) respond to pandemics has received greater research focus recently in relation to the COVID-19 outbreak, which saw agencies going beyond usual roles to support communities for prolonged periods. A critical appraisal is needed of this published evidence to take stock of what is known about the effectiveness of emergency service response to Covid-19. A scoping review of scientific and grey literature identified 17 qualitative (N=9), quantitative (N=6), or mixed methods (N=2) studies from across the UK and internationally that focus on the effectiveness of emergency service response to the Covid-19 outbreak. A narrative review was conducted using an interpretive approach. Papers were read, summarised, and then sorted into inductive themes that addressed some aspect of the review question. Eight critical themes emerged from the narrative review. Across countries, emergency services were required to quickly adapt working practices to reduce spread of infection, support partner agencies facing unprecedented demands, and make effective use of limited resources. Use of technology, access to timely, accurate and relevant information, strong leadership, prior experience, and emergency training were critical to this. However, most research is descriptive rather than evaluative. Overall, findings highlight the need for further research that examines what mechanisms facilitate and hinder emergency response to pandemics. This scoping review provides a knowledge framework for informing future research that can support emergency services in preparing for events of national and international significance.

I-Pos Information System Security Audit Using Framework Control Objectives for Information and Related Technologies 2019 And Information Technology Infrastructure Library 4

Information system security is used to protect against cyber attack crimes. Generally, cyber attacks occur because someone wants to intervene in a system to find out the confidentiality and availability of information. PT. Pos Indonesia is a company under the auspices of SOEs engaged in distributing letters and packages. Both domestic package distribution and overseas package distribution. To facilitate the delivery of packages, PT Pos Indonesia developed an information system called I-POS. Based on the results of the researchers' analysis, the I-POS information system is an information system that aims at mail and package delivery transactions, so using the I-POS information system can facilitate the process of delivery transactions, as well as provide accurate, timely, and relevant information. The purpose of this study is to determine the level of maturity of information system security in the field of I-POS information systems at PT. Pos Indonesia, Analyzing the findings and gaps of the level of maturity of the information system security. Based on the results of research that has been conducted through questionnaires using the COBIT 2019 framework with APO13 and DSS05 domains, it was found that the Existing Capability obtained was at level 2 while the expected Capability Level was at level 5 so the Capability Gap produced in these conditions was 3 levels

Preliminary study on molecular mechanism of COVID-19 intervention by Polygonum cuspidatum through computer bioinformatics.

To explore the mechanism of action of Polygonum cuspidatum in intervening in coronavirus disease 2019 using a network pharmacology approach and to preliminarily elucidate its mechanism. The active ingredients and action targets of P cuspidatum were classified and summarized using computer virtual technology and molecular informatics methods. The active ingredients and relevant target information of P cuspidatum were identified using the TCM Systematic Pharmacology Database and Analysis Platform, the TCM Integrated Pharmacology Research Platform v2.0, and the SwissTarget database. The GENECARDS database was used to search for COVID-19 targets. The STRING database was analyzed and combined with Cytoscape 3.7.1 software to construct a protein interaction network map to screen the core targets. Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis was then performed. The core compound, polydatin, was selected and the core targets were analyzed by computer virtual docking using software such as discovery studio autodock tool. In vitro cell models were constructed to experimentally validate the activity of the core compound, polydatin. By computer screening, we identified 9 active ingredients and their corresponding 286 targets from P cuspidatum. A search of the GENECARDS database for COVID-19 yielded 303 core targets. By mapping the active ingredient targets to the disease targets, 27 overlapping targets could be extracted as potential targets for the treatment of COVID-19 with P cuspidatum. In addition, the enrichment analysis of Kyoto Encyclopedia of Genes and Genomes pathway on core targets showed that the coronavirus disease, MAPK signaling pathway, NF kappa B signaling pathway, and other signaling pathways were highly enriched. Combined with the degree-high target analysis in the protein interaction network, it was found to be mainly concentrated in the NF-kappaB (NF-κB) signaling pathway, indicating that the NF-κB signaling pathway may be an important pathway for P cuspidatum intervention. In vitro assays showed no effect of 0.1 to 10 μM polydatin on cell viability, but an inhibitory effect on the transcriptional activity of NF-κB-RE. Molecular docking showed stable covalent bonding of polydatin molecules with Il-1β protein at residue leu-26, TNF protein ser-60, residue gly-121, and residue ile-258 of ICAM-1 protein, indicating a stable docking result. The treatment of COVID-19 with P cuspidatum is characterized by multi-component, multi-target, and multi-pathway, which can exert a complex network of regulatory effects through the interaction between different targets, providing a new idea and basis for further exploration of the mechanism of action of P cuspidatum in the treatment of COVID-19.

Temporal Environmental Status of a Shallow Lake Using Alpha and Beta Diversity on Phytoplankton Communities

Phytoplankton communities are excellent indicators of the environmental status of shallow lakes since changes in diversity alert us to potential deterioration. To assess the environmental condition of a shallow lake with strong anthropogenic pressure from forest monocultures, alpha and beta diversities were determined. Three monitoring stations were established in the shallow Kusrüpuyewe Lake, southern Chile, which were monitored during the 2021 austral summer and winter. Alpha diversity was high indicating a stable environmental condition. In total, 103 species in summer, 96 species in winter and a high species diversity (Shannon index: H′ > 5 bits/ind) were recorded. Beta diversity indicated that this ecosystem is seasonally heterogeneous, is potentially productive and has a high species turnover. Based on the large species inventory, we conclude that this shallow lake is stable and diverse. Although it is threatened by the presence of forest monocultures, it maintains a stable environmental condition, mainly due to the ability of the phytoplankton present to self-regulate through the species turnover. This study provides the relevant background information to establish conservation measures around the shallow lake, an ecosystem that provides various ecosystem services for the local indigenous communities.

Rosie, a Health Education Question-and-Answer Chatbot for New Mothers: Randomized Pilot Study.

Stark disparities exist in maternal and child outcomes and there is a need to provide timely and accurate health information. In this pilot study, we assessed the feasibility and acceptability of a health chatbot for new mothers of color. Rosie, a question-and-answer chatbot, was developed as a mobile app and is available to answer questions about pregnancy, parenting, and child development. From January 9, 2023, to February 9, 2023, participants were recruited using social media posts and through engagement with community organizations. Inclusion criteria included being aged ≥14 years, being a woman of color, and either being currently pregnant or having given birth within the past 6 months. Participants were randomly assigned to the Rosie treatment group (15/29, 52% received the Rosie app) or control group (14/29, 48% received a children's book each month) for 3 months. Those assigned to the treatment group could ask Rosie questions and receive an immediate response generated from Rosie's knowledgebase. Upon detection of a possible health emergency, Rosie sends emergency resources and relevant hotline information. In addition, a study staff member, who is a clinical social worker, reaches out to the participant within 24 hours to follow up. Preintervention and postintervention tests were completed to qualitatively and quantitatively evaluate Rosie and describe changes across key health outcomes, including postpartum depression and the frequency of emergency room visits. These measurements were used to inform the clinical trial's sample size calculations. Of 41 individuals who were screened and eligible, 31 (76%) enrolled and 29 (71%) were retained in the study. More than 87% (13/15) of Rosie treatment group members reported using Rosie daily (5/15, 33%) or weekly (8/15, 53%) across the 3-month study period. Most users reported that Rosie was easy to use (14/15, 93%) and provided responses quickly (13/15, 87%). The remaining issues identified included crashing of the app (8/15, 53%), and users were not satisfied with some of Rosie's answers (12/15, 80%). Mothers in both the Rosie treatment group and control group experienced a decline in depression scores from pretest to posttest periods, but the decline was statistically significant only among treatment group mothers (P=.008). In addition, a low proportion of treatment group infants had emergency room visits (1/11, 9%) compared with control group members (3/13, 23%). Nonetheless, no between-group differences reached statistical significance at P<.05. Rosie was found to be an acceptable, feasible, and appropriate intervention for ethnic and racial minority pregnant women and mothers of infants owing to the chatbot's ability to provide a personalized, flexible tool to increase the timeliness and accessibility of high-quality health information to individuals during a period of elevated health risks for the mother and child. ClinicalTrials.gov NCT06053515; https://clinicaltrials.gov/study/NCT06053515.

Recommendations on the Use of Multiple Labels in Human Mass Balance Studies.

The administration of radiolabeled drug candidates is considered the gold standard in absorption, distribution, metabolism, and excretion studies for small-molecule drugs since it allows facile and accurate quantification of parent drug, metabolites, and total drug-related material independent of the compound structure. The choice of the position of the radiolabel, typically 14C or 3H, is critical to obtain relevant information. Sometimes, a biotransformation reaction may lead to cleavage of a part of the molecule. As a result, only the radiolabeled portion can be followed, and information on the fate of the nonlabeled metabolite may be lost. Synthesis and administration of two or more radiolabeled versions of the parent drug as a mixture or in separate studies may resolve this issue but comes with additional challenges. In this paper, we address the questions that may be considered to help make the right choice whether to use a single or multiple radiolabel approach and discuss the pros and cons of different multiple-labeling strategies that can be taken as well as alternative methods that allow the nonlabeled part of the molecule to be followed. SIGNIFICANCE STATEMENT: Radiolabeled studies are the gold standard in drug metabolism research, but molecules can undergo cleavage with loss of the label. This often results in discussions around potential use of multiple labels, which seem to be occurring with increased frequency since an increasing proportion of the small-molecule drugs are tending towards larger molecular weights. This review provides insight and decision criteria in considering a multiple-label approach as well as pros and cons of different strategies that can be followed.

Dilema Arab Pegon di Era Modern

This study describes the changes and dilemmas faced by the Pegon script, a traditional Javanese writing system, in facing the modern era. The main focus of this research is on the transformation of the Pegon script, its use, maintenance, and impact on Javanese cultural heritage. In the method steps, this research carried out identification and selection of literature as well as evaluating the credibility of relevant information sources. An in-depth analysis was carried out on changes in the Pegon script, both from a linguistic and aesthetic perspective, taking into account the influence of technology and modernization. This research also highlights the social and cultural impact of using the Pegon script in the modern era. By paying attention to people's attitudes towards these changes, this study aims to provide a holistic picture of the evolution of the Pegon script and its consequences for local cultural identity and heritage. In addition, this research explores the link between changes in the Pegon script and the education sector, considering the implications for the curriculum and cultural preservation efforts. It is hoped that the results of this literature review will provide in-depth insight into the dilemmas faced by the Pegon script in facing the flow of modernization. The conclusions drawn from this study can provide a basis for developing policies, educational strategies, and cultural preservation efforts to maintain the sustainability and relevance of the Pegon script in the context of modern society.

Diagnosed and subjectively perceived long-term effects of COVID-19 infection on olfactory function assessed by supervised machine learning.

Loss of olfactory function is a typical acute coronavirus disease 2019 (COVID-19) symptom, at least in early variants of SARS-CoV2. The time that has elapsed since the emergence of COVID-19 now allows for assessing the long-term prognosis of its olfactory impact. Participants (n = 722) of whom n = 464 reported having had COVID-19 dating back with a mode of 174 days were approached in a museum as a relatively unbiased environment. Olfactory function was diagnosed by assessing odor threshold and odor identification performance. Subjects also rated their actual olfactory function on an 11-point numerical scale [0,…10]. Neither the frequency of olfactory diagnostic categories nor olfactory test scores showed any COVID-19-related effects. Olfactory diagnostic categories (anosmia, hyposmia, or normosmia) were similarly distributed among former patients and controls (0.86%, 18.97%, and 80.17% for former patients and 1.17%, 17.51%, and 81.32% for controls). Former COVID-19 patients, however, showed differences in their subjective perception of their own olfactory function. The impact of this effect was substantial enough that supervised machine learning algorithms detected past COVID-19 infections in new subjects, based on reduced self-awareness of olfactory performance and parosmia, while the diagnosed olfactory function did not contribute any relevant information in this context. Based on diagnosed olfactory function, results suggest a positive prognosis for COVID-19-related olfactory loss in the long term. Traces of former infection are found in self-perceptions of olfaction, highlighting the importance of investigating the long-term effects of COVID-19 using reliable and validated diagnostic measures in olfactory testing.

Detection of hypoplastic left heart syndrome anatomy from cardiovascular magnetic resonance images using machine learning

ObjectiveThe prospect of being able to gain relevant information from cardiovascular magnetic resonance (CMR) image analysis automatically opens up new potential to assist the evaluating physician. For machine-learning-based classification of complex congenital heart disease, only few studies have used CMR.Materials and methodsThis study presents a tailor-made neural network architecture for detection of 7 distinctive anatomic landmarks in CMR images of patients with hypoplastic left heart syndrome (HLHS) in Fontan circulation or healthy controls and demonstrates the potential of the spatial arrangement of the landmarks to identify HLHS. The method was applied to the axial SSFP CMR scans of 46 patients with HLHS and 33 healthy controls.ResultsThe displacement between predicted and annotated landmark had a standard deviation of 8–17 mm and was larger than the interobserver variability by a factor of 1.1–2.0. A high overall classification accuracy of 98.7% was achieved.DiscussionDecoupling the identification of clinically meaningful anatomic landmarks from the actual classification improved transparency of classification results. Information from such automated analysis could be used to quickly jump to anatomic positions and guide the physician more efficiently through the analysis depending on the detected condition, which may ultimately improve work flow and save analysis time.

The importance of epistemic intentions in ascription of responsibility

We investigate how people ascribe responsibility to an agent who caused a bad outcome but did not know he would. The psychological processes for making such judgments, we argue, involve finding a counterfactual in which some minimally benevolent intention initiates a course of events that leads to a better outcome than the actual one. We hypothesize that such counterfactuals can include, when relevant, epistemic intentions. With four vignette studies, we show that people consider epistemic intentions when ascribing responsibility for a bad outcome. We further investigate which epistemic intentions people are likely to consider when building counterfactuals for responsibility ascription. We find that, when an agent did not predict a bad outcome, people ascribe responsibility depending on the reasons behind the agents’ lack of knowledge. People judge agents responsible for the bad outcome they caused when they could have easily predicted the consequences of their actions but did not care to acquire the relevant information. However, when this information was hard to acquire, people are less likely to judge them responsible.

Enhanced Variance Estimation Techniques for Addressing Non-Response and Measurement Error Situations

The use of relevant information from auxiliary variables at the estimation stage and design stage to obtain reliable and efficient estimates is a common practice in a sample survey. Several Estimators of population variance have been suggested. However, these estimators do not consider the situation of non-response due to non-availability of respondents, refusal to respond, presence of hard- core respondents or due to non-understanding of the question thereby, reducing the efficiency of the estimators and the parameters of the auxiliary variable X̄ , S2x used are sensitive to outliers or extreme values which can either lead to underestimation or overestimation. To address the aforementioned observations, classes of variance estimators under the simultaneous influence of non-response and measurement errors using outlier-free parameters as well as calibration approaches were proposed. The properties (Bias and MSE) of the modified estimators were derived up to the first order of approximation using the Taylor series approach. The efficiency conditions of the proposed estimators over the existing estimators considered in the study were established. The empirical studies were conducted using simulation and the results revealed that the proposed class of estimators have minimum MSEs and higher PREs among all the competing estimators. These imply that the proposed estimators are more efficient and can produce a better estimate of the population mean compared to other existing estimators considered in the study.

Hubungan antara Menulis Huruf Tegak Bersambung pada Kemampuan Membaca Siswa Sekolah Dasar

In this modern and convenient digital era, cursive writing is still an interesting topic of discussion. Despite that, cursive writing has many benefits for students, especially in improving reading skills. This literature review aims to explore the relationship between cursive writing and the reading ability of elementary school students. The research method used in this study is literature review, with techniques for collecting, analyzing, and concluding relevant information. From this literature review, it is revealed that cursive writing can train visual-motor skills, spatial visualization, spelling, cognitive skills, and understanding of writing, thus improving students' reading ability. In addition, cursive writing can also activate the brain's synaptic network in students, allowing them to remember information read for a longer period. Students' patience can also be honed through cursive writing activities. Therefore, cursive writing can be an effective strategy to improve students' reading ability.

Salsal: blockchain for vetting cultural object collections

Many modern cultural object collections suffer from the problem of being obtained in unethical and illegal circumstances. Additionally, information about collections, including their status, object descriptions, and other data need up-to-date information presented to users. We propose a novel blockchain tool called Salsal that enables the vetting of objects, individually or as part of more extensive collections, to meet required ethical and legal guidelines while informing users about relevant information regarding collections. Blockchain provides a better and more rapid way for users to know about collections using a decentralized and immutable ledger technology. Blockchain can be used to incentivize or even pressure collections to vet their objects for ethical and legal guidelines that can benefit the public who use object collections. The prototype software we have made is presented and compared to other blockchains, with code and demonstration provided. We present how our blockchain can enable benefit, providing a useful vetting process for cultural objects, and allowing a user community to contribute to collections in a transparent and secure manner.

Summons for Court Proceedings Using Registered Mail in the Perspective of Civil Procedure Law

The Supreme Court of the Republic of Indonesia, as one of the branches of the Judicial Power in Indonesia, has the Supreme Court Regulation (PERMA) which is commonly abbreviated as PERMA. On October 10, 2022, the Supreme Court of the Republic of Indonesia issued Supreme Court Regulation Number 7 of 2022 concerning Amendments to Supreme Court Regulation Number 1 of 2019 regarding Case Administration and Electronic Court Proceedings. In this PERMA, the use of registered mail is mentioned in conducting court summons. The research issues in this study are: 1.) How is the procedure for court summons using registered mail according to Supreme Court Regulation Number 7 of 2022 concerning Amendments to Supreme Court Regulation Number 1 of 2019 regarding Case Administration and Electronic Court Proceedings? 2.) Is the use of registered mail for court summons under civil procedure law? This study is a library research, which involves studying books, legal texts, or other relevant information. The nature of this research is descriptive, where data presented is qualitative. It is descriptive because the results are narratively described with data sources including secondary data, which is obtained through the review of legal materials. The legal materials used by the researcher are categorized into primary and secondary legal materials. The data analysis method used is qualitative inductive analysis with an interactive model. The research findings show that court summons using registered mail according to Supreme Court Regulation Number 7 of 2022 concerning Amendments to Supreme Court Regulation Number 1 of 2019 regarding Case Administration and Electronic Court Proceedings are carried out by sending summons letters through POS Indonesia. However, the use of registered mail for court summons is not in accordance with the provisions of civil procedure law due to non-compliance with the principles of the summons and its potential detrimental effects on parties, especially the Defendant.&#x0D; Keywords: civil procedure law, summons, registered mail

Importance of National Influenza Centers in the surveillance of highly pathogenic avian viruses. The time for One-Health is now

Since 1996, the highly pathogenic avian influenza subtype A(H5N1) has been causing almost uninterrupted outbreaks in wild and domestic birds, as well as cases in humans with a mortality rate close to 50%. However, the years of greatest circulation have been precisely the years following the COVID-19 pandemic, in which several cases have been recorded in humans in places where they had never appeared before, in addition to multiple cases in wild, domestic and peri-domestic mammals, which raise some concern about the risk that the virus may jump to humans through chains of transmission of greater or lesser extent. The current outbreak of A(H5N1) shows us that the One-Health concept should be more alive than ever to join efforts between professionals from different sectors of human, animal and environmental health to avoid or minimize these risks, so that reference laboratories such as the National Influenza Centers have the human and material resources to provide rapid and relevant information in the shortest possible time before emergencies of this type. The diagnostic and monitoring tools to be used in these cases must be available for any eventuality, and going beyond the basic data must be an indispensable premise to be able to carry out a detailed monitoring that serves to limit outbreaks, limit the spread of the disease, and help in the design of future pandemic vaccines against avian viruses.

Datamart for the analysis of information in the sales process of the company WC HVAC Engineering

Introduction: Information has become a crucial asset for companies in decision making and performance evaluation. Information technologies, such as Business Intelligence, allow data to be converted into relevant information. The implementation of a Datamart, a specialized database, stands out as a solution to analyze specific data from a business area.Objective: The main objective is to determine how the implementation of a Datamart affects data analysis in the sales area of the company.Method: A bibliographic review of various sources was carried out using the PICO keywords. In addition, filters were applied to limit the search to relevant articles published in the last 5 years in Spanish or English. Then, 31 relevant documents that highlighted the implementation of Datamarts in the sales area were evaluated.Results: Predominant Datamart development methods were identified, such as the Kimball and Hefesto methodologies. Likewise, effectiveness was measured through indicators such as processing time, report generation, user satisfaction and availability of information.Conclusions: In conclusion, a well-implemented Datamart can be a key tool to improve data management and analysis in the sales area of a company.

Cardiomyocyte Differentiation from Mouse Embryonic Stem Cells by WNT Switch Method.

The differentiation of ESCs into cardiomyocytes in vitro is an excellent and reliable model system for studying normal cardiomyocyte development in mammals, modeling cardiac diseases, and for use in drug screening. Mouse ESC differentiation still provides relevant biological information about cardiac development. However, the current methods for efficiently differentiating ESCs into cardiomyocytes are limiting. Here, we describe the "WNT Switch" method to efficiently commit mouse ESCs into cardiomyocytes using the small molecule WNT signaling modulators CHIR99021 and XAV939 in vitro. This method significantly improves the yield of beating cardiomyocytes, reduces number of treatments, and is less laborious.

Who acquires infection from whom? A sensitivity analysis of transmission dynamics during the early phase of the COVID-19 pandemic in Belgium

Age-related heterogeneity in a host population, whether due to how individuals mix and contact each other, the nature of host–pathogen interactions defining epidemiological parameters, or demographics, is crucial in studying infectious disease dynamics. Compartmental models represent a popular approach to address the problem, dividing the population of interest into a discrete and finite number of states depending on, for example, individuals’ age and stage of infection. We study the corresponding linearised system whose operator, in the context of a discrete-time model, equates to a square matrix known as the next generation matrix. Performing formal perturbation analysis of the entries of the aforementioned matrix, we derive indices to quantify the age-specific variation of its dominant eigenvalue (i.e., the reproduction number) and explore the relevant epidemiological information we can derive from the eigenstructure of the matrix. The resulting method enables the assessment of the impact of age-related population heterogeneity on virus transmission. In particular, starting from an age-structured SEIR model, we demonstrate the use of this approach for COVID-19 dynamics in Belgium. We analyse the early stages of the SARS-CoV-2 spread, with particular attention to the pre-pandemic framework and the lockdown lifting phase initiated as of May 2020. Our results, influenced by our assumption on age-specific susceptibility and infectiousness, support the hypothesis that transmission was only influenced to a small extent by children in the age group [0,18) and adults over 60 years of age during the early phases of the pandemic and up to the end of July 2020.

Novel approaches and therapeutic targets for diabetic nephropathy: Advances and promising strategies

Diabetic nephropathy is a progressive condition characterized by kidney damage and functional decline, primarily attributed to hyperglycemia. Special keywords and probes related to diabetic nephropathy were utilized by Google search engine to obtain relevant information from Google, Google Scholar, PubMed, Science Alert, and Google Scholar databases. This review explores the interconnected mechanisms underlying its pathogenesis. Hyperglycemia initiates glomerular hypertrophy and increased glomerular filtration rate as compensatory responses, but persistent hyperglycemia leads to renal inflammation, oxidative stress, abnormal extracellular matrix (ECM) accumulation, and increased albuminuria. These processes contribute to structural changes, declining glomerular filtration rate, and potential end-stage renal disease (ESRD) progression. Advanced glycation end products (AGEs) and the renin-angiotensin system (RAS) play key roles in hyperglycemic-induced glomerular hypertrophy. Glomerular hyperfiltration, mediated by the renin-angiotensin-aldosterone system (RAAS), impaired tubuloglomerular feedback, and increased capillary filtration coefficient, further contributes to increased glomerular filtration rate. Inflammation and oxidative stress, triggered by hyperglycemia and AGEs, promote kidney damage. Abnormal ECM accumulation, driven by hyperglycemia and the transforming growth factor-beta pathway, leads to structural changes. Hyperglycemia-induced microalbuminuria and proteinuria reflect early signs of kidney damage. Managing diabetic nephropathy poses challenges, but ongoing research offers potential solutions. Novel therapeutic targets, combination therapies, personalized medicine approaches, regenerative medicine, and gene therapy are being explored. Advancements in diagnostics, including targeted therapies and non-invasive tools, show promise in preventing or mitigating the progression of diabetic nephropathy. Understanding these mechanisms is crucial for early detection, glycemic control, blood pressure management, and targeted therapies to slow disease progression. Collaboration among healthcare stakeholders is essential in finding effective solutions for this complex condition. This review therefore highlights the importance of a comprehensive approach to managing diabetic nephropathy and improving patient outcomes.

In what measure do non-financial information statements help in measuring the contribution to the sustainable development goals of companies? Case study of companies in Gipuzkoa

Large Spanish companies are required to report their Non-financial Information Statements (NFIS) since the enactment of Law 11/2018. These reports include relevant information about the level of sustainability of the business activities throughout their entire value chain. This work is confined to the territory of Gipuzkoa and its aim is to study if the information contained in the NFISs of Gipuzkoa is valid for measuring the impact of companies in the territory, using Sustainable Development Goals (SDGs) and the dimensions defined in Law 11/2018. In this sense, we propose a structure of indicators to be analysed in the NFISs, called map of non-financial information indicators and built with those indicators that are reported to a larger extent by the companies. Below, two indexes are built for measuring transparency and impact using data obtained in the indicators. Finally, a matrix is built and companies are ranked according to their values in both indexes. The ranking in the matrix shows the performance of each company in terms of sustainability. Likewise, we conclude that while some areas of sustainability are well represented by the indicators that are analysed, the scarcity and heterogeneity of the information contained in the NFISs makes it hard to measure the impact in others, as well as in some SDGs.