In the context of addressing the global challenge of facilitating a decision-making process based on methane production using a predictive model, the study seeks to evaluate the performance of a biogas digester in varying operating conditions for optimization purposes. One of the techniques for doing this is the application of constrained linear least-square optimization. This has been employed to optimize the input parameter with the corresponding measured desired response. The developed model was built from 430 measured data set points of all the predictors over an 18-day monitoring period with an interval of 30 min. The result showed that the difference between the optimized model and the general model output for methane production in the biogas digester was less than 4%. Hence, the performance of the model demonstrated a strong validity as the determination coefficient (R2) between the modeled, and optimized output was 0.968 for the volume of methane produced in the biogas digester. The obtained determination coefficient of the developed and optimized model suggests that the modeled value of the methane fits well with the measured value of methane for validation. Thus, from the test dataset, the optimized and modeled methane volume was reported as 28%. In this scenario, under the various operational parameters, an increase of 26.5% in methane was obtained when comparing the maximum volume of methane from the optimization process with the maximum methane volume (54.5%) produced in the real biogas digester. Interestingly, the biogas digester produced a maximum methane yield of 0.24 m3 and a methane composition of 60%. Evidently, methane yield was influenced by temperature as well as other meteorological factors in the developed model hence, these factors should be widely considered for sustainable biogas production.
{"title":"Efficient Methane Production from Anaerobic Digestion of Cow Dung: An Optimization Approach","authors":"Kechrist Obileke, G. Makaka, N. Nwokolo","doi":"10.3390/challe13020053","DOIUrl":"https://doi.org/10.3390/challe13020053","url":null,"abstract":"In the context of addressing the global challenge of facilitating a decision-making process based on methane production using a predictive model, the study seeks to evaluate the performance of a biogas digester in varying operating conditions for optimization purposes. One of the techniques for doing this is the application of constrained linear least-square optimization. This has been employed to optimize the input parameter with the corresponding measured desired response. The developed model was built from 430 measured data set points of all the predictors over an 18-day monitoring period with an interval of 30 min. The result showed that the difference between the optimized model and the general model output for methane production in the biogas digester was less than 4%. Hence, the performance of the model demonstrated a strong validity as the determination coefficient (R2) between the modeled, and optimized output was 0.968 for the volume of methane produced in the biogas digester. The obtained determination coefficient of the developed and optimized model suggests that the modeled value of the methane fits well with the measured value of methane for validation. Thus, from the test dataset, the optimized and modeled methane volume was reported as 28%. In this scenario, under the various operational parameters, an increase of 26.5% in methane was obtained when comparing the maximum volume of methane from the optimization process with the maximum methane volume (54.5%) produced in the real biogas digester. Interestingly, the biogas digester produced a maximum methane yield of 0.24 m3 and a methane composition of 60%. Evidently, methane yield was influenced by temperature as well as other meteorological factors in the developed model hence, these factors should be widely considered for sustainable biogas production.","PeriodicalId":91008,"journal":{"name":"Challenges","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88509336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Iqbal, Jian-chu Xu, Sehroon Khan, S. Nadir, Y. Kuzyakov
SARS-CoV-2 has been found in soil and aquatic environments in addition to aerosols. SARS-CoV-2 enters the soil from various sources, including organic amendments and waste irrigation water. The virus counts and virulence in soil depend on spillover routes and soil properties. Organic matter (OM) and clay minerals protect and enable SARS-CoV-2 to survive for longer periods in soil. Therefore, life forms residing in soil may be at risk, but there is a paucity of scientific interest in such interactions. With this perspective, we aim to provide a new viewpoint on the effects of SARS-CoV-2 on soil microbes. In particular, we present a conceptual model showing how successive mutations within soil animals having the SARS-CoV-2 receptor angiotensin-converting enzyme 2 (ACE2) may change its characteristics and, thus, enable it to infect micro- and macroorganisms and be transferred by them. SARS-CoV-2 particles could be adsorbed on mineral or OM surfaces, and these surfaces could serve as encounter sites for infectious attacks. SARS-CoV-2 accumulation in soil over time can perturb bacteria and other microbes, leading to imbalances in microbial diversity and activities. Thus, SARS-CoV-2 and its interactions with biotic and abiotic soil components should be a future research priority.
{"title":"SARS-CoV-2 in Soil: A Microbial Perspective","authors":"S. Iqbal, Jian-chu Xu, Sehroon Khan, S. Nadir, Y. Kuzyakov","doi":"10.3390/challe13020052","DOIUrl":"https://doi.org/10.3390/challe13020052","url":null,"abstract":"SARS-CoV-2 has been found in soil and aquatic environments in addition to aerosols. SARS-CoV-2 enters the soil from various sources, including organic amendments and waste irrigation water. The virus counts and virulence in soil depend on spillover routes and soil properties. Organic matter (OM) and clay minerals protect and enable SARS-CoV-2 to survive for longer periods in soil. Therefore, life forms residing in soil may be at risk, but there is a paucity of scientific interest in such interactions. With this perspective, we aim to provide a new viewpoint on the effects of SARS-CoV-2 on soil microbes. In particular, we present a conceptual model showing how successive mutations within soil animals having the SARS-CoV-2 receptor angiotensin-converting enzyme 2 (ACE2) may change its characteristics and, thus, enable it to infect micro- and macroorganisms and be transferred by them. SARS-CoV-2 particles could be adsorbed on mineral or OM surfaces, and these surfaces could serve as encounter sites for infectious attacks. SARS-CoV-2 accumulation in soil over time can perturb bacteria and other microbes, leading to imbalances in microbial diversity and activities. Thus, SARS-CoV-2 and its interactions with biotic and abiotic soil components should be a future research priority.","PeriodicalId":91008,"journal":{"name":"Challenges","volume":"67 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80053170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the ongoing series of spotlight interviews, Challenges Advisory Board member and Nova Institute for Health Fellow, Alan C. Logan, meets with thought leaders, scientists, scholars, healthcare professionals, artisans, and visionaries concerned about health at scales of persons, places, and the planet. Here in this interview, Dr. Christopher A. Lowry of the University of Colorado Boulder, responds to a set of questions posed by Challenges. For nearly twenty years, Dr. Lowry has been at the forefront of the research connecting the microbiome to mental health. Ten years ago, Dr. Lowry and his colleagues wrote a provocative article under the title ‘Can we vaccinate against depression?’; Dr. Lowry updates Challenges on where the field has moved, with its promises and possibilities. Dr. Lowry reflects on the early influences that shaped his interest in the field and discusses the ways in which microbiome sciences are casting light on the many interconnected challenges of our time.
在正在进行的一系列焦点访谈中，挑战咨询委员会成员和新星健康研究所研究员Alan C. Logan会见了思想领袖、科学家、学者、医疗保健专业人员、工匠和有远见的人，他们关注人、地方和地球的健康。在这次采访中，科罗拉多大学博尔德分校的克里斯托弗·a·洛瑞博士回答了《挑战》提出的一系列问题。近二十年来，洛瑞博士一直站在将微生物群与心理健康联系起来的研究前沿。十年前，洛瑞博士和他的同事们写了一篇挑衅性的文章，题目是《我们能接种疫苗预防抑郁症吗?》Lowry博士更新了挑战，介绍了该领域的进展，以及它的前景和可能性。Lowry博士回顾了早期影响他对该领域产生兴趣的因素，并讨论了微生物组科学如何揭示我们这个时代许多相互关联的挑战。
{"title":"Spotlight: An Interview with Dr. Christopher A. Lowry, on the Convergence of Microbes, Nature, and Mental Health","authors":"A. Logan, C. Lowry","doi":"10.3390/challe13020051","DOIUrl":"https://doi.org/10.3390/challe13020051","url":null,"abstract":"In the ongoing series of spotlight interviews, Challenges Advisory Board member and Nova Institute for Health Fellow, Alan C. Logan, meets with thought leaders, scientists, scholars, healthcare professionals, artisans, and visionaries concerned about health at scales of persons, places, and the planet. Here in this interview, Dr. Christopher A. Lowry of the University of Colorado Boulder, responds to a set of questions posed by Challenges. For nearly twenty years, Dr. Lowry has been at the forefront of the research connecting the microbiome to mental health. Ten years ago, Dr. Lowry and his colleagues wrote a provocative article under the title ‘Can we vaccinate against depression?’; Dr. Lowry updates Challenges on where the field has moved, with its promises and possibilities. Dr. Lowry reflects on the early influences that shaped his interest in the field and discusses the ways in which microbiome sciences are casting light on the many interconnected challenges of our time.","PeriodicalId":91008,"journal":{"name":"Challenges","volume":"72 11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72966259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Following the Great East Japan Earthquake, vertical evacuation shelters (VES) were constructed to reduce tsunami risk. Childcare centers (CCs) in the inundation area are required to evacuate to the nearest VES in the event of a tsunami. The study aim was to identify CCs and VES predicted to be inundated by a Nankai Trough earthquake-generated tsunami, and to clarify CC inundation risk. We identified 52 (45.6%) CCs in the tsunami inundation area and found that 14 (25.9%) would evacuate toward the tsunami. If the walking speed was 2.24 km/h and a 0.3 m tsunami arrived in 10 min, nine (17.3%) CCs would be late to safe evacuation. If the tsunami arrival time was 20 min, four (7.7%) CCs would have late evacuation. At a walking speed of 1.00 km/h, 38 (73.1%) and 20 (38.5%) CCs would have late evacuation, with tsunami arrival times of 10 min and 20 min, respectively. Evacuation direction is important in avoiding tsunami damage. An evacuation strategy is needed that evacuates people away from the tsunami, and takes into account children’s age, walking speed, and evacuation method. The evaluation of tsunami risk in this study may support the development of tsunami countermeasures in other coastal areas with latent tsunami risks.
{"title":"Childcare Center Evacuation to Vertical Shelters in a Nankai Trough Tsunami: Models to Predict and Mitigate Risk","authors":"Hisao Nakai, Ryo Horiike, Tomoya Itatani, Yukari Matsumoto","doi":"10.3390/challe13020048","DOIUrl":"https://doi.org/10.3390/challe13020048","url":null,"abstract":"Following the Great East Japan Earthquake, vertical evacuation shelters (VES) were constructed to reduce tsunami risk. Childcare centers (CCs) in the inundation area are required to evacuate to the nearest VES in the event of a tsunami. The study aim was to identify CCs and VES predicted to be inundated by a Nankai Trough earthquake-generated tsunami, and to clarify CC inundation risk. We identified 52 (45.6%) CCs in the tsunami inundation area and found that 14 (25.9%) would evacuate toward the tsunami. If the walking speed was 2.24 km/h and a 0.3 m tsunami arrived in 10 min, nine (17.3%) CCs would be late to safe evacuation. If the tsunami arrival time was 20 min, four (7.7%) CCs would have late evacuation. At a walking speed of 1.00 km/h, 38 (73.1%) and 20 (38.5%) CCs would have late evacuation, with tsunami arrival times of 10 min and 20 min, respectively. Evacuation direction is important in avoiding tsunami damage. An evacuation strategy is needed that evacuates people away from the tsunami, and takes into account children’s age, walking speed, and evacuation method. The evaluation of tsunami risk in this study may support the development of tsunami countermeasures in other coastal areas with latent tsunami risks.","PeriodicalId":91008,"journal":{"name":"Challenges","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90803697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
As a Small Island Developing State, Seychelles is disproportionately affected by climate change, and enhancing her adaptive capacity is a national priority. Identifying and integrating local capacity needs into policy measures can improve multilevel governance and the effective implementation of National Adaptation Plans (NAPs), given that local governments have contextual knowledge about their territories and the climate change challenges affecting them. Based on the Capital Approach Framework (CAF), this study carries out an analysis of local governance capacity needs for implementing climate change adaptation in Seychelles. Data were collected using two methods: (i) questionnaire-led interviews among twenty-four district administrators (DAs), and (ii) an interactive workshop involving thirty-one participants, of which twenty-six were DAs and five were members of the National Climate Change Committee. The CAF was measured in two ways: (i) through descriptive statistics such as frequencies based on interview data, and (ii) through the ranking of types of capital to assess their weightings across four categories using a consensus approach during the participatory workshop. The findings of this study indicate significant political, financial, and human resource capacity gaps, which collectively hinder local adaptation. The critical shortcomings identified include the low participation in national-level decision-making processes, the inability to access external funding sources, and the lack of technical know-how. Through a participatory approach involving the local government representatives and the National Climate Change Committee, ten recommendations for policy measures that can enhance the effectiveness of local governance in climate change adaptation were co-developed. Seven of these recommendations partly address issues related to political capital. These recommendations highlight that a siloed approach cannot effectively address the impacts of climate change. For example, one of the recommendations stated that land-use planning should be guided by location-specific vulnerabilities, as these differ across districts.
{"title":"Local Governance Capacity Needs for Implementing Climate Change Adaptation in Seychelles: An Assessment Based on the Capital Approach","authors":"D. Etongo, Kelsy Gill","doi":"10.3390/challe13020049","DOIUrl":"https://doi.org/10.3390/challe13020049","url":null,"abstract":"As a Small Island Developing State, Seychelles is disproportionately affected by climate change, and enhancing her adaptive capacity is a national priority. Identifying and integrating local capacity needs into policy measures can improve multilevel governance and the effective implementation of National Adaptation Plans (NAPs), given that local governments have contextual knowledge about their territories and the climate change challenges affecting them. Based on the Capital Approach Framework (CAF), this study carries out an analysis of local governance capacity needs for implementing climate change adaptation in Seychelles. Data were collected using two methods: (i) questionnaire-led interviews among twenty-four district administrators (DAs), and (ii) an interactive workshop involving thirty-one participants, of which twenty-six were DAs and five were members of the National Climate Change Committee. The CAF was measured in two ways: (i) through descriptive statistics such as frequencies based on interview data, and (ii) through the ranking of types of capital to assess their weightings across four categories using a consensus approach during the participatory workshop. The findings of this study indicate significant political, financial, and human resource capacity gaps, which collectively hinder local adaptation. The critical shortcomings identified include the low participation in national-level decision-making processes, the inability to access external funding sources, and the lack of technical know-how. Through a participatory approach involving the local government representatives and the National Climate Change Committee, ten recommendations for policy measures that can enhance the effectiveness of local governance in climate change adaptation were co-developed. Seven of these recommendations partly address issues related to political capital. These recommendations highlight that a siloed approach cannot effectively address the impacts of climate change. For example, one of the recommendations stated that land-use planning should be guided by location-specific vulnerabilities, as these differ across districts.","PeriodicalId":91008,"journal":{"name":"Challenges","volume":"50 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74504117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Y. Tajudeen, H. Oladipo, I. Oladunjoye, Mutiat Oluwakemi Mustapha, Sheriff Taye Mustapha, Adam Aberi Abdullahi, Rashidat Onyinoyi Yusuf, S. Abimbola, A. Adebayo, Joy Ginika Ikebuaso, D. Adesuyi, Blessed Okereke, Abass Olawale Omotosho, Abdulhakeem Funsho Ahmed, M. El-Sherbini
The ever-increasing global health impact of SARS-CoV-2—the etiological agent of coronavirus disease 2019 (COVID-19)—coupled with its socio-economic burden, has not only revealed the vulnerability of humanity to zoonotic pathogens of pandemic potential but also serves as a wake-up call for global health communities to rethink sustainable approaches towards preventing future pandemics. However, since the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) convened experts have declared that future pandemics are likely to be zoonotic in origin, it is imperative that we understand the key drivers of zoonosis such as biodiversity loss, climate change, wildlife consumption, and population mobility, as well as the scientific evidence underpinning them. In this article, we underscore the correlations of these drivers with the emergence and re-emergence of zoonosis. Consequently, we highlighted the need for multidisciplinary collaboration under the planetary health approach between researchers across the fields of environmental and human health to fill the knowledge and research gaps on key drivers of zoonosis. This is to prevent or limit future pandemics by protecting the natural systems of the Earth and its resources and safeguarding human and animal health.
{"title":"Preventing the Next Pandemic through a Planetary Health Approach: A Focus on Key Drivers of Zoonosis","authors":"Y. Tajudeen, H. Oladipo, I. Oladunjoye, Mutiat Oluwakemi Mustapha, Sheriff Taye Mustapha, Adam Aberi Abdullahi, Rashidat Onyinoyi Yusuf, S. Abimbola, A. Adebayo, Joy Ginika Ikebuaso, D. Adesuyi, Blessed Okereke, Abass Olawale Omotosho, Abdulhakeem Funsho Ahmed, M. El-Sherbini","doi":"10.3390/challe13020050","DOIUrl":"https://doi.org/10.3390/challe13020050","url":null,"abstract":"The ever-increasing global health impact of SARS-CoV-2—the etiological agent of coronavirus disease 2019 (COVID-19)—coupled with its socio-economic burden, has not only revealed the vulnerability of humanity to zoonotic pathogens of pandemic potential but also serves as a wake-up call for global health communities to rethink sustainable approaches towards preventing future pandemics. However, since the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) convened experts have declared that future pandemics are likely to be zoonotic in origin, it is imperative that we understand the key drivers of zoonosis such as biodiversity loss, climate change, wildlife consumption, and population mobility, as well as the scientific evidence underpinning them. In this article, we underscore the correlations of these drivers with the emergence and re-emergence of zoonosis. Consequently, we highlighted the need for multidisciplinary collaboration under the planetary health approach between researchers across the fields of environmental and human health to fill the knowledge and research gaps on key drivers of zoonosis. This is to prevent or limit future pandemics by protecting the natural systems of the Earth and its resources and safeguarding human and animal health.","PeriodicalId":91008,"journal":{"name":"Challenges","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78902929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
New risk geographies are emerging with war and conflict resurfacing, including nuclear threats. This poses challenges to civil protection for conducting risk-informed preparedness planning. A spatial assessment of Germany and Europe is conducted using a geographic information system. Buffer circles of nuclear explosion effects and fallout buffers show potentially exposed areas around major cities. Different scenarios indicate shrinking areas safe from exposure. However, even in a densely populated country, rural areas and smaller cities can be identified that could provide sites for evacuation shelters. Changing wind directions poses a challenge for civil protection planning because fallout risk covers most German territory even when few cities are attacked. However, wind speeds and topography can help identify suitable shelter areas. More knowledge about the temporal development of a nuclear explosion and its specific forms of harm can also help to improve risk knowledge and planning. While nuclear warfare at first seems to render useless any option for safe areas and survival, the spatial risk assessment shows that exposure does not occur at all places at all times. Being safe from harm will be difficult in such a worst-case scenario, but avoiding large city perimeters and being informed can also help reduce risk.
{"title":"Safe from Harm? Massive Attack Nuclear Worst-Case Scenario for Civil Protection in Germany Regarding High-Risk Zones of Exposure, Vulnerability, and Safe Havens","authors":"Alexander Fekete","doi":"10.3390/challe13020047","DOIUrl":"https://doi.org/10.3390/challe13020047","url":null,"abstract":"New risk geographies are emerging with war and conflict resurfacing, including nuclear threats. This poses challenges to civil protection for conducting risk-informed preparedness planning. A spatial assessment of Germany and Europe is conducted using a geographic information system. Buffer circles of nuclear explosion effects and fallout buffers show potentially exposed areas around major cities. Different scenarios indicate shrinking areas safe from exposure. However, even in a densely populated country, rural areas and smaller cities can be identified that could provide sites for evacuation shelters. Changing wind directions poses a challenge for civil protection planning because fallout risk covers most German territory even when few cities are attacked. However, wind speeds and topography can help identify suitable shelter areas. More knowledge about the temporal development of a nuclear explosion and its specific forms of harm can also help to improve risk knowledge and planning. While nuclear warfare at first seems to render useless any option for safe areas and survival, the spatial risk assessment shows that exposure does not occur at all places at all times. Being safe from harm will be difficult in such a worst-case scenario, but avoiding large city perimeters and being informed can also help reduce risk.","PeriodicalId":91008,"journal":{"name":"Challenges","volume":"326 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80384866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The ability to self-direct a research program determines graduate degree completion. Yet, research on incompletion of science, technology, engineering, and mathematics (STEM) graduate programs assumes students’ present level of self-direction adequate and neglects to recognize a lack of self-directed learning (SDL) as key. This essay explores SDL for STEM, presenting the work of theoretical nuclear physicist David J. Rowe as a key example of applying a process of SDL in practice. Rowe focused on this challenge of physics graduate education by promoting SDL through the type of research flow that has been found to bring the greatest satisfaction to researchers regarding their insights. Strategies he explored involved his space, time, open mindedness and theoretical contributions with students and in collaboration with colleagues. A self-directed learner himself, Rowe developed methods of mentoring for encouraging physics graduate students to recognize symmetry as valuable in identifying solutions to problems quickly—helping students take the lead in finding insightful resolutions to complex, multidimensional, mathematical physics uncertainties. These strategies for supporting SDL in this context are examined here, with the use of narrative research to interpret the texts and conversations exchanged with the author. The process of SDL developed by Rowe is presented with recommendations on how Rowe’s methods may be modeled to improve self-direction in STEM graduate education more widely.
自主指导研究项目的能力决定了研究生学位的完成程度。然而，关于科学、技术、工程和数学(STEM)研究生课程不完成的研究假设学生目前的自我指导水平是足够的，而忽视了自我指导学习(SDL)的缺乏是关键。本文探讨了SDL在STEM中的应用，提出了理论核物理学家David J. Rowe的工作，作为在实践中应用SDL过程的一个关键例子。Rowe专注于物理研究生教育的这一挑战，通过研究流程的类型来促进SDL，这种研究流程已经被发现为研究人员带来了最大的满足感。他探索的策略包括他的空间、时间、开放的思想以及与学生和同事合作的理论贡献。作为一名自我指导的学习者，Rowe开发了指导方法，鼓励物理学研究生认识到对称在快速确定问题解决方案方面是有价值的——帮助学生率先找到复杂的、多维的、数学物理不确定性的深刻解决方案。在这种背景下，这些支持SDL的策略在这里进行了检查，并使用叙事研究来解释与作者交换的文本和对话。Rowe开发的SDL过程提出了关于如何对Rowe的方法进行建模以更广泛地改善STEM研究生教育中的自我指导的建议。
{"title":"Self-Direction in Physics Graduate Education: Insights for STEM from David J. Rowe’s Career-Long Methods","authors":"Carol Nash","doi":"10.3390/challe13020045","DOIUrl":"https://doi.org/10.3390/challe13020045","url":null,"abstract":"The ability to self-direct a research program determines graduate degree completion. Yet, research on incompletion of science, technology, engineering, and mathematics (STEM) graduate programs assumes students’ present level of self-direction adequate and neglects to recognize a lack of self-directed learning (SDL) as key. This essay explores SDL for STEM, presenting the work of theoretical nuclear physicist David J. Rowe as a key example of applying a process of SDL in practice. Rowe focused on this challenge of physics graduate education by promoting SDL through the type of research flow that has been found to bring the greatest satisfaction to researchers regarding their insights. Strategies he explored involved his space, time, open mindedness and theoretical contributions with students and in collaboration with colleagues. A self-directed learner himself, Rowe developed methods of mentoring for encouraging physics graduate students to recognize symmetry as valuable in identifying solutions to problems quickly—helping students take the lead in finding insightful resolutions to complex, multidimensional, mathematical physics uncertainties. These strategies for supporting SDL in this context are examined here, with the use of narrative research to interpret the texts and conversations exchanged with the author. The process of SDL developed by Rowe is presented with recommendations on how Rowe’s methods may be modeled to improve self-direction in STEM graduate education more widely.","PeriodicalId":91008,"journal":{"name":"Challenges","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83570606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The 1969 UN Report “Problems of the Human Environment” was a seminal work that first highlighted environmental problems at a global scale. This report underpinned a series of subsequent international summits and conventions of the 1992 Rio Earth Summit and the subsequent three global conventions on Biodiversity, Climate Change and Desertification. We assessed the report half a century after its publication to track changes in vocabulary and highlight critical lessons that could have been learned. The assessment contains several strengths and weaknesses that are pertinent to modern global-scale analyses. Many issues of that day have declined in importance or been superseded, and several major environmental problems (including climate change and plastic pollution) were not foreseen. Most of the report’s predictions proved to be much more conservative than proved by reality (a criticism that has also been levelled at contemporary IPCC reports). The report, however, did forewarn of global pandemics and stimulated thinking on a global scale that led to identification of the current climate crisis.
{"title":"Learning from the Past: Lessons from the First United Nations Report on Problems of the Human-Environment","authors":"F. Amiraslani, Andrew Cooper","doi":"10.3390/challe13020044","DOIUrl":"https://doi.org/10.3390/challe13020044","url":null,"abstract":"The 1969 UN Report “Problems of the Human Environment” was a seminal work that first highlighted environmental problems at a global scale. This report underpinned a series of subsequent international summits and conventions of the 1992 Rio Earth Summit and the subsequent three global conventions on Biodiversity, Climate Change and Desertification. We assessed the report half a century after its publication to track changes in vocabulary and highlight critical lessons that could have been learned. The assessment contains several strengths and weaknesses that are pertinent to modern global-scale analyses. Many issues of that day have declined in importance or been superseded, and several major environmental problems (including climate change and plastic pollution) were not foreseen. Most of the report’s predictions proved to be much more conservative than proved by reality (a criticism that has also been levelled at contemporary IPCC reports). The report, however, did forewarn of global pandemics and stimulated thinking on a global scale that led to identification of the current climate crisis.","PeriodicalId":91008,"journal":{"name":"Challenges","volume":"06 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86065461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
As more nations move towards net-zero emission goals by 2050, research into the coupling of photovoltaics (PV) and agriculture has increased into a new sector of agrivoltaics (AV). Measurement of the Land Equivalent Ratio (LER) has allowed researchers to develop methods for optimizing the agrivoltaic system. Studies on innovative engineering technologies related to photovoltaic tracking along with new generation PV cells were reviewed to determine the factors that influence optimization. This review also considered AV farm layouts and how different spacing, height, and density impact the shading under the panels. As panels block the light from hitting the plants, the photosynthetically active radiation (PAR) changes and alters plant growth. The shading, however, also creates micro-climates that have beneficial qualities in terms of water usage and PV efficiency. The overall review investigated the research of the last five years into AV optimization and the implications for future AV developments.
{"title":"Agrivoltaic Engineering and Layout Optimization Approaches in the Transition to Renewable Energy Technologies: A Review","authors":"Meagan Reasoner, Aritra Ghosh","doi":"10.3390/challe13020043","DOIUrl":"https://doi.org/10.3390/challe13020043","url":null,"abstract":"As more nations move towards net-zero emission goals by 2050, research into the coupling of photovoltaics (PV) and agriculture has increased into a new sector of agrivoltaics (AV). Measurement of the Land Equivalent Ratio (LER) has allowed researchers to develop methods for optimizing the agrivoltaic system. Studies on innovative engineering technologies related to photovoltaic tracking along with new generation PV cells were reviewed to determine the factors that influence optimization. This review also considered AV farm layouts and how different spacing, height, and density impact the shading under the panels. As panels block the light from hitting the plants, the photosynthetically active radiation (PAR) changes and alters plant growth. The shading, however, also creates micro-climates that have beneficial qualities in terms of water usage and PV efficiency. The overall review investigated the research of the last five years into AV optimization and the implications for future AV developments.","PeriodicalId":91008,"journal":{"name":"Challenges","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74250382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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