cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20363065
title: SYNTHESIS OF GOLD NANOPARTICLES AND COLORIMETRIC SENSING OF THE SULFATHIAZOLE: AN EXPERIMENTAL PRACTICE FOR INTERDISCIPLINARY CLASSES

description: Students undertaking courses in the field of sciences and engineering need to learn practical skills and conceptual knowledge, and the experimental classes are the best moment for this. In this paper, we propose a practical experiment to aid nanotechnology learning by synthesizing gold nanoparticles (AuNPs) and their application as a colorimetric sensor of sulfathiazole. AuNPs were prepared using sodium citrate as a reducing and capping agent. The existence of the synthesized AuNPs was detected using the Tyndall effect while their optical properties were investigated by molecular absorption spectrophotometry. The gold nanoparticles exhibit spherical-like shape morphology and an average size of 13.6 nm, determined by transmission electron microscopy. The AuNPs were applied as a colorimetric sensor for the detection of sulfathiazole in mixed water/ethanol solution by simple visual inspection and using molecular absorption spectrophotometry. Due to the simplicity of the experimental steps, this activity is well-suited for a hands-on introduction of nanoparticles synthesis and its application as a molecular sensor. In addition, the experiment encompasses knowledge from different fields being suitable for interdisciplinary classes.
DOI: 10.6084/m9.figshare.20363065.v1
title: SYNTHESIS OF GOLD NANOPARTICLES AND COLORIMETRIC SENSING OF THE SULFATHIAZOLE: AN EXPERIMENTAL PRACTICE FOR INTERDISCIPLINARY CLASSES

description: Students undertaking courses in the field of sciences and engineering need to learn practical skills and conceptual knowledge, and the experimental classes are the best moment for this. In this paper, we propose a practical experiment to aid nanotechnology learning by synthesizing gold nanoparticles (AuNPs) and their application as a colorimetric sensor of sulfathiazole. AuNPs were prepared using sodium citrate as a reducing and capping agent. The existence of the synthesized AuNPs was detected using the Tyndall effect while their optical properties were investigated by molecular absorption spectrophotometry. The gold nanoparticles exhibit spherical-like shape morphology and an average size of 13.6 nm, determined by transmission electron microscopy. The AuNPs were applied as a colorimetric sensor for the detection of sulfathiazole in mixed water/ethanol solution by simple visual inspection and using molecular absorption spectrophotometry. Due to the simplicity of the experimental steps, this activity is well-suited for a hands-on introduction of nanoparticles synthesis and its application as a molecular sensor. In addition, the experiment encompasses knowledge from different fields being suitable for interdisciplinary classes.
DOI: 10.6084/m9.figshare.20363066
title: Artificial intelligence and internet of things adoption in operations management: Barriers and benefits

description: Abstract Purpose: Based on the context of digital transformation and the evolution of digital technologies, this research sought to understand how artificial intelligence (AI) and internet of things (IoT) collaborate to improve the efficiency of operations management (OM). Originality/value: Digital transformation and the use of new technologies, such as AI and IoT, have impacted the management of the companies’ operation. A preliminary survey carried out in the Web of Science (WoS) database, analyzing data through the VOSviewer bibliometric software, identified an important relationship between AI, IoT, and OM through industry 4.0 (i4.0), which has as one of its main objectives the improvement in OM. The results of this research bring a practical contribution to business managers, such as the identification of the main barriers and expected benefits when adopting AI and IoT in their operations. For researchers, this study differs from studies already published by conducting a systematic review of the literature that investigates the relationship of OM with technological tools, such as AI and IoT. Design/methodology/approach: A systematic review of the literature was carried out with the objective of analyzing all articles that brought some contribution to a better understanding of how AI and IoT collaborate to improve the efficiency of operations. Findings: The results demonstrated how AI and IoT were being incorporated into OM, identifying the main barriers of its use, as well as indications of research gaps that may lead to further investigations to advance on this topic.
DOI: 10.6084/m9.figshare.20363066.v1
title: Artificial intelligence and internet of things adoption in operations management: Barriers and benefits

description: Abstract Purpose: Based on the context of digital transformation and the evolution of digital technologies, this research sought to understand how artificial intelligence (AI) and internet of things (IoT) collaborate to improve the efficiency of operations management (OM). Originality/value: Digital transformation and the use of new technologies, such as AI and IoT, have impacted the management of the companies’ operation. A preliminary survey carried out in the Web of Science (WoS) database, analyzing data through the VOSviewer bibliometric software, identified an important relationship between AI, IoT, and OM through industry 4.0 (i4.0), which has as one of its main objectives the improvement in OM. The results of this research bring a practical contribution to business managers, such as the identification of the main barriers and expected benefits when adopting AI and IoT in their operations. For researchers, this study differs from studies already published by conducting a systematic review of the literature that investigates the relationship of OM with technological tools, such as AI and IoT. Design/methodology/approach: A systematic review of the literature was carried out with the objective of analyzing all articles that brought some contribution to a better understanding of how AI and IoT collaborate to improve the efficiency of operations. Findings: The results demonstrated how AI and IoT were being incorporated into OM, identifying the main barriers of its use, as well as indications of research gaps that may lead to further investigations to advance on this topic.
DOI: 10.6084/m9.figshare.20363068
title: Soybean tolerance to defoliation at the beginning of pod formation as affected by plant density

description: ABSTRACT Soybean tolerance to defoliation may be affected by population density, as the plant population interferes with the crop leaf area index . This study aimed to evaluate the effect of defoliation at the beginning of pod formation on the agronomic performance of soybean at different plant densities. The experiment was conducted under field conditions in Campos Novos, SC, Brazil, during 2016/2017 and 2017/2018 growing season. The experimental design was a randomized block in a split-plot arrangement. The main plot consisted of three densities (100,000, 300,000, and 500,000 plants ha−1), whereas the subplots consisted of the cultivar NA 5909 RG submitted to five defoliation levels (0, 16.6, 33.3, 50, and 66.6%). Grain yield ranged from 4,219 to 5,356 kg ha−1 in the 2016/2017 growing season and 3,732 to 5,186 kg ha−1 in the 2017/2018 growing season. Plant density did not interfere with the grain yield response to defoliation performed at the beginning of pod formation. The 16.6% defoliation increase grain yield by 7.5 and 5.6% relative to the control in 2016/2017 and 2017/2018 growing seasons, respectively. The soybean tolerate defoliation of up to 33.3% at R3 with no significant decrease in grain yield, regardless of the plant density.
DOI: 10.6084/m9.figshare.20363068.v1
title: Soybean tolerance to defoliation at the beginning of pod formation as affected by plant density

description: ABSTRACT Soybean tolerance to defoliation may be affected by population density, as the plant population interferes with the crop leaf area index . This study aimed to evaluate the effect of defoliation at the beginning of pod formation on the agronomic performance of soybean at different plant densities. The experiment was conducted under field conditions in Campos Novos, SC, Brazil, during 2016/2017 and 2017/2018 growing season. The experimental design was a randomized block in a split-plot arrangement. The main plot consisted of three densities (100,000, 300,000, and 500,000 plants ha−1), whereas the subplots consisted of the cultivar NA 5909 RG submitted to five defoliation levels (0, 16.6, 33.3, 50, and 66.6%). Grain yield ranged from 4,219 to 5,356 kg ha−1 in the 2016/2017 growing season and 3,732 to 5,186 kg ha−1 in the 2017/2018 growing season. Plant density did not interfere with the grain yield response to defoliation performed at the beginning of pod formation. The 16.6% defoliation increase grain yield by 7.5 and 5.6% relative to the control in 2016/2017 and 2017/2018 growing seasons, respectively. The soybean tolerate defoliation of up to 33.3% at R3 with no significant decrease in grain yield, regardless of the plant density.
DOI: 10.6084/m9.figshare.20337240
title: The challenges of Teaching Psychiatric Emergencies in situations of natural disasters and armed conflicts

description: Abstract: Introduction: The Mozambican population has been recurrently affected by traumatic situations due to natural (cyclones, droughts, floods) or man-made (armed conflicts) catastrophes, which can lead to the development of mental disorders that, if not identified and treated, result in severe sequelae and cause chronicity. Objectives: To promote a reflection on the inclusion of emergency psychiatric topics in natural disasters and armed conflicts in the disciplines or modules of psychiatry in undergraduate medical school courses in Mozambique. Methods: Narrative literature review carried out between April and June 2021, focusing on the research of articles and documents published on the virtual platforms Research4life, PubMed, Hifa-PT, Google Scholar and that address the topics of natural disasters and armed conflicts and the teaching of these topics to medical students in the discipline of psychiatry. Results: The inclusion of psychiatric emergencies in situations of natural disasters and armed conflicts in the medical course can provide general practitioners who work in primary health care with knowledge and skills to recognize and act in psychiatric emergencies caused by natural disasters and armed conflicts, taking into account the fact that the country currently has few doctors specialized in psychiatry. Final considerations: The adequacy of the organization and assistance in psychiatric emergencies to the population exposed to natural disasters and armed conflicts contributes to the resilience and protection of the mental health of the communities. In this article, we reflect on the challenge of incorporating the topics of psychiatric emergencies caused by exposure to natural disasters and armed conflicts as a contribution to improving the skills of general practitioners in responding to the pressing mental health demands of this vulnerable population.
DOI: 10.6084/m9.figshare.20337240.v1
title: The challenges of Teaching Psychiatric Emergencies in situations of natural disasters and armed conflicts

description: Abstract: Introduction: The Mozambican population has been recurrently affected by traumatic situations due to natural (cyclones, droughts, floods) or man-made (armed conflicts) catastrophes, which can lead to the development of mental disorders that, if not identified and treated, result in severe sequelae and cause chronicity. Objectives: To promote a reflection on the inclusion of emergency psychiatric topics in natural disasters and armed conflicts in the disciplines or modules of psychiatry in undergraduate medical school courses in Mozambique. Methods: Narrative literature review carried out between April and June 2021, focusing on the research of articles and documents published on the virtual platforms Research4life, PubMed, Hifa-PT, Google Scholar and that address the topics of natural disasters and armed conflicts and the teaching of these topics to medical students in the discipline of psychiatry. Results: The inclusion of psychiatric emergencies in situations of natural disasters and armed conflicts in the medical course can provide general practitioners who work in primary health care with knowledge and skills to recognize and act in psychiatric emergencies caused by natural disasters and armed conflicts, taking into account the fact that the country currently has few doctors specialized in psychiatry. Final considerations: The adequacy of the organization and assistance in psychiatric emergencies to the population exposed to natural disasters and armed conflicts contributes to the resilience and protection of the mental health of the communities. In this article, we reflect on the challenge of incorporating the topics of psychiatric emergencies caused by exposure to natural disasters and armed conflicts as a contribution to improving the skills of general practitioners in responding to the pressing mental health demands of this vulnerable population.
DOI: 10.6084/m9.figshare.9696797
title: Impact of breast magnetic resonance imaging on the locoregional staging and management of breast cancer

description: Abstract Objective: To assess the impact of magnetic resonance imaging (MRI) on the locoregional staging of breast cancer. Materials and Methods: We evaluated 61 patients with breast cancer who underwent pre-treatment breast MRI, between August 2015 and April 2016. An experienced breast surgeon determined the surgical treatment, on the basis of the findings of conventional imaging examinations, and made a subsequent treatment recommendation based on the MRI findings, then determining whether the MRI changed the approach, as well as whether it had a positive or negative impact on the treatment. Results: The mean age was 50.8 years (standard deviation, 12.0 years). The most common histological type was invasive breast carcinoma of no special type (in 68.9%), and the most common molecular subtype was luminal B (in 45.9%). Breast MRI modified the therapeutic management in 23.0% of the cases evaluated, having a positive impact in 82.7%. Conclusion: Breast MRI is an useful tool for the locoregional staging of breast cancer, because it provides useful information that can have a positive impact on patient treatment.
DOI: 10.6084/m9.figshare.9696797.v1
title: Impact of breast magnetic resonance imaging on the locoregional staging and management of breast cancer

description: Abstract Objective: To assess the impact of magnetic resonance imaging (MRI) on the locoregional staging of breast cancer. Materials and Methods: We evaluated 61 patients with breast cancer who underwent pre-treatment breast MRI, between August 2015 and April 2016. An experienced breast surgeon determined the surgical treatment, on the basis of the findings of conventional imaging examinations, and made a subsequent treatment recommendation based on the MRI findings, then determining whether the MRI changed the approach, as well as whether it had a positive or negative impact on the treatment. Results: The mean age was 50.8 years (standard deviation, 12.0 years). The most common histological type was invasive breast carcinoma of no special type (in 68.9%), and the most common molecular subtype was luminal B (in 45.9%). Breast MRI modified the therapeutic management in 23.0% of the cases evaluated, having a positive impact in 82.7%. Conclusion: Breast MRI is an useful tool for the locoregional staging of breast cancer, because it provides useful information that can have a positive impact on patient treatment.
DOI: 10.6084/m9.figshare.20363075
title: A system dynamics model for sustainable corporate strategic planning

description: Abstract Paper aims This paper presents a manufacturing process model for assessing the effects on economic, social, and environmental targets, given variations on corporate strategies of production, innovation, marketing, and demand for final goods. Originality The model integrates economic, social, and environmental dimensions that are validated through three main scenarios: Business as Usual (no strategic application), Business as Investment (strategic application), and Business as Vision (changes in demand). Research method The model estimates the social, environmental, and economic performance through time based on the System Dynamics methodology. Main findings The results demonstrate the model's suitability as a decision-support tool for sustainability planning in a corporate environment. Implications for theory and practice The model facilitates the analysis of the effects of resource allocation on corporate strategy.
DOI: 10.6084/m9.figshare.20363075.v1
title: A system dynamics model for sustainable corporate strategic planning

description: Abstract Paper aims This paper presents a manufacturing process model for assessing the effects on economic, social, and environmental targets, given variations on corporate strategies of production, innovation, marketing, and demand for final goods. Originality The model integrates economic, social, and environmental dimensions that are validated through three main scenarios: Business as Usual (no strategic application), Business as Investment (strategic application), and Business as Vision (changes in demand). Research method The model estimates the social, environmental, and economic performance through time based on the System Dynamics methodology. Main findings The results demonstrate the model's suitability as a decision-support tool for sustainability planning in a corporate environment. Implications for theory and practice The model facilitates the analysis of the effects of resource allocation on corporate strategy.
DOI: 10.6084/m9.figshare.20363078
title: THE FEMALE WINNERS OF THE NOBEL PRIZE IN CHEMISTRY (1901 - 2020)

description: This paper contemplates the scientific contributions of the seven winners, from the creation of the Nobel Prize to the year 2020. The laureates are Marie Curie, Irène Joliot-Curie, Dorothy Crowfoot Hodgkin, Ada Yonath, Frances Hamilton Arnold, Emmanuelle Marie Charpentier, and Jennifer Anne Doudna. In 112th editions of the Nobel Prize in Chemistry, there were 186 awards, where only seven winners were women, an amount less than 4% of the total, which makes clear the low female representation. Marie was the pioneer, being the first woman to win, alone, a Nobel Prize in Chemistry. She was the only woman to win two Nobel Prizes, and the only person awarded in two distinct scientific areas: Chemistry and Physics. Only Marie and Dorothy received the award alone, Irène, Ada and Frances shared the award with men, and Emmanuelle and Jennifer became the first pair of women to share a Nobel Prize in Chemistry. There is an evident under-representation of women in the Nobel Prize in Chemistry, but this should not be a reason not to remember and celebrate the trajectory of these brilliant scientists, who must be present in training courses in scientific areas, as well as in Basic Education schools.
DOI: 10.6084/m9.figshare.20363078.v1
title: THE FEMALE WINNERS OF THE NOBEL PRIZE IN CHEMISTRY (1901 - 2020)

description: This paper contemplates the scientific contributions of the seven winners, from the creation of the Nobel Prize to the year 2020. The laureates are Marie Curie, Irène Joliot-Curie, Dorothy Crowfoot Hodgkin, Ada Yonath, Frances Hamilton Arnold, Emmanuelle Marie Charpentier, and Jennifer Anne Doudna. In 112th editions of the Nobel Prize in Chemistry, there were 186 awards, where only seven winners were women, an amount less than 4% of the total, which makes clear the low female representation. Marie was the pioneer, being the first woman to win, alone, a Nobel Prize in Chemistry. She was the only woman to win two Nobel Prizes, and the only person awarded in two distinct scientific areas: Chemistry and Physics. Only Marie and Dorothy received the award alone, Irène, Ada and Frances shared the award with men, and Emmanuelle and Jennifer became the first pair of women to share a Nobel Prize in Chemistry. There is an evident under-representation of women in the Nobel Prize in Chemistry, but this should not be a reason not to remember and celebrate the trajectory of these brilliant scientists, who must be present in training courses in scientific areas, as well as in Basic Education schools.
DOI: 10.6084/m9.figshare.20363081
title: PROFILE OF INORGANIC ELEMENTS IN HONEY SAMPLES FROM THE MARANHÃO STATE AS A BIOINDICATOR OF GEOGRAPHICAL ORIGIN

description: Honey is a substance that contains a variety of macro and micro minerals present in the range between 0.02-1.03%. The main objective of this study was to determine the concentration of elements inorganic in 15 honey samples collected in various regions of Maranhão (Northeast Brazil), using highly sensitive analytical techniques, such as inductively coupled plasma optical emission spectrometry (ICP-OES), in addition to applying multivariate statistical tools, such as Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA) in the treatment of data. The method presented detection limits between 0.4 to 2.8 mg kg-1. Fifteen samples and 19 metals were analyzed, and two of these samples had high levels of lead, exceeding the limits allowed by Brazilian legislation. Thus, it can be concluded that the presence of potentially toxic metals in honey is an indication that the production areas may be contaminated by different external sources. The chemometric analysis of the data by PCA and HCA allowed to classify honey in two main groups: honey produced in urban areas and honey produced in rural areas with PCA explaining 73% of the data variance with the sum of the first 3 components.
DOI: 10.6084/m9.figshare.20363081.v1
title: PROFILE OF INORGANIC ELEMENTS IN HONEY SAMPLES FROM THE MARANHÃO STATE AS A BIOINDICATOR OF GEOGRAPHICAL ORIGIN

description: Honey is a substance that contains a variety of macro and micro minerals present in the range between 0.02-1.03%. The main objective of this study was to determine the concentration of elements inorganic in 15 honey samples collected in various regions of Maranhão (Northeast Brazil), using highly sensitive analytical techniques, such as inductively coupled plasma optical emission spectrometry (ICP-OES), in addition to applying multivariate statistical tools, such as Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA) in the treatment of data. The method presented detection limits between 0.4 to 2.8 mg kg-1. Fifteen samples and 19 metals were analyzed, and two of these samples had high levels of lead, exceeding the limits allowed by Brazilian legislation. Thus, it can be concluded that the presence of potentially toxic metals in honey is an indication that the production areas may be contaminated by different external sources. The chemometric analysis of the data by PCA and HCA allowed to classify honey in two main groups: honey produced in urban areas and honey produced in rural areas with PCA explaining 73% of the data variance with the sum of the first 3 components.