bluuebunny/crossref_metadata_2025 huggingface dataset:
The Mediating Role of Cortical Atrophy on the Relationship between the Resilience Index and Cognitive Function: Findings from the Healthy Brain Initiative
Authors: O’Shea Deirdre M. , Camacho Simone , Ezzeddine Reem , Besser Lilah , Tolea Magdalena I. , Wang Lily , Galvin Conor , Gibbs Gregory , Galvin James E.
Published: March 2024

Background:

Lifestyle factors are linked to differences in brain aging and risk for Alzheimer’s disease, underscored by concepts like ‘cognitive reserve’ and ‘brain maintenance’. The Resilience Index (RI), a composite of 6 factors (cognitive reserve, physical and cognitive activities, social engagement, diet, and mindfulness) provides such a holistic measure.

Objective:

This study aims to examine the association of RI scores with cognitive function and assess the mediating role of cortical atrophy.

Methods:

Baseline data from 113 participants (aged 45+, 68% female) from the Healthy Brain Initiative were included. Life course resilience was estimated with the RI, cognitive performance with Cognivue®, and brain health using a machine learning derived Cortical Atrophy Score (CAS). Mediation analysis probed the relationship between RI, cognitive outcomes, and cortical atrophy.

Results:

In age and sex adjusted models, the RI was significantly associated with CAS (β= –0.25, p = 0.006) and Cognivue® scores (β= 0.32, p < 0.001). The RI-Cognivue® association was partially mediated by CAS (β= 0.07; 95% CI [0.02, 0.14]).

Conclusions:

Findings revealed that the collective effect of early and late-life lifestyle resilience factors on cognition are partially explained by their association with less brain atrophy. These findings underscore the value of comprehensive lifestyle assessments in understanding the risk and progression of cognitive decline and Alzheimer’s disease in an aging population.
Characterizing Heart Rate Variability Response to Maximal Exercise Testing in People with Huntington’s Disease
Authors: Li Haoyu , Desai Radhika , Quiles Norberto , Quinn Lori , Friel Ciarán
Published: March 2024

Background: Huntington’s disease (HD) is an autosomal dominant, neurodegenerative disease that involves dysfunction in the autonomic nervous system (ANS). Heart rate variability (HRV) is a valid and noninvasive measure for ANS dysfunction, yet no study has characterized HRV response to exercise in people with HD. Objective: Characterize HRV response to exercise in individuals with HD and explore its implications for exercise prescription and cardiac dysautonomia mechanisms. Methods: 19 participants with HD were recruited as part of a cohort of individuals enrolled in the Physical Activity and Exercise Outcomes in Huntington’s Disease (PACE-HD) study at Teachers College, Columbia University (TC). 13 non-HD age- and gender-matched control participants were also recruited from TC. HRV was recorded with a Polar H10 heart rate (HR) monitor before, during, and after a ramp cycle-ergometer exercise test. Results: Participants with HD showed reduced HR peak (p < 0.01) and HR reserve (p < 0.001) compared with controls. Participants with HD demonstrated reduced root mean square of successive differences between normal-to-normal intervals (RMSSD) and successive differences of normal-to-normal intervals (SDSD) at rest (p < 0.001). Participants with HD also showed differences for low frequency (LF) power (p < 0.01), high frequency (HF) normalized units (nu) (p < 0.05), LF (nu) (p < 0.001), and HF/LF ratio (p < 0.05) compared with controls. Conclusions: We found reduced aerobic exercise capacity and sympathovagal dysautonomia both at rest and during post-exercise recovery in people with HD, suggesting modified exercise prescription may be required for people with HD. Further investigations focusing on cardiac dysautonomia and underlying mechanisms of sympathovagal dysautonomia in people with HD are warranted.
Association of newborn low birth weight and the diet quality of their mothers during pregnancy: A case control study in El Jadida province
Authors: Elfane Houda , Sahel Khadija , El-Jamal Sanaa , Barakat Imane , El Ayachi Mohammed , Belahsen Rekia
Published: March 2024

BACKGROUND:

Healthy eating habits among mothers both before and throughout pregnancy are beneficial for their own well-being, the fetus and the child in adulthood.

OBJECTIVE:

Our aim was to study the link between the quality of the diet of parturients and the birth weight of newborns.

METHODS:

The diversity scores (DDS) and dietary variety scores (DVS) were used to assess the quality of the diet, and the mean adequacy ratio (MAR) and the nutrient adequacy ratio were calculated and compared in 200 parturients (Controls) who gave birth to normal-weight (NW) newborns and 200 parturients (Cases) who gave birth to low birth weight (LBW) newborns.

RESULTS:

Mean DDS was 7.01±1.36 in controls and 4.55±1.60 in cases. The mean DVS was 13.31±3.28 in controls vs 8.11±4.60 in the cases ( P < 0.001). The MAR index of controls 0.84±0.004 was higher compared to cases 0.70±0.004. The lowest NAR values are found for calcium (0.60±0.02 vs 0.34±0.01), iron (0.66±0.01 vs 0.50±0.01), folates (0.68±0.011 vs 0.48±0.009) in controls and cases respectively.

CONCLUSIONS:

The diets of women with LBW newborns do not meet the basic nutritional needs for a successful pregnancy and childbirth.
Quantification of daily workload, energy expenditure, and sleep of US Marine recruits throughout a 10-week boot camp
Authors: Kloss Emily B. , Niederberger Brenda A. , Givens Andrea C. , Beck Meghan S. , Bernards Jake R. , Bennett Daniel W. , Kelly Karen R.
Published: March 2024

BACKGROUND: During periods of high-volume vigorous exercise, United States Marine Corps recruits often experience musculoskeletal injuries. While the program of instruction (POI) for basic training is a defined training volume, the total workload of boot camp, including movements around the base, is unknown. OBJECTIVE: The present study aimed to quantify the daily total workload, energy expenditure, and sleep during basic recruit training at Marine Corps Recruit Depot (MCRD) San Diego. METHODS: Eighty-four male recruits from MCRD San Diego wore wrist wearable physiological monitors to capture their complete workload (mileage from steps), energy expenditure, and sleep throughout the 10-week boot camp. RESULTS: Marine recruits traveled an average of 11.5±3.4 miles per day (M±SD), expended 4105±823 kcal per day, and slept an average of 5 : 48±1 : 06 hours and minutes per night. While the POI designates a total of 46.3 miles of running and hiking, the actual daily average miles yielded approximately 657.6±107.2 miles over the 10-week boot camp. CONCLUSION: Recruit training requires high physical demand and time under tension due to the cumulative volume of movements around base in addition to the POI planned physical training.
An Anthropological and Mechanical Analysis of the Enigma of the Chinese Load-Bearing Spine: How Does the Frail Elderly Woman Bear a Heavy Burden?
Authors: Huabin Chen
Published: March 2024

This study presents an anthropological and mechanical analysis that unravels the mystery behind the resilience of the Chinese load-bearing spine, particularly in elderly individuals who seemingly defy physical limitations to carry heavy burdens. A case study of a frail elderly shoulder-bearer, who despite suffering from sudden lumbar spondylosis, was effectively treated without losing his capacity to bear loads or perform labor, serves as a focal point. This treatment success, along with associated images suggestive of humpback deformity, encapsulates the deep-rooted tradition of shoulder carrying in China, which has persisted for millennia. Historical literature and photographs, coupled with firsthand observations of contemporary shoulder-carrying practices, offer valuable insights into this traditional practice. However, a significant knowledge gap exists concerning the divergence between Eastern and Western traditions related to load-bearing, which, if not addressed promptly, may relegate this cultural aspect to the status of archaeological and intangible cultural heritage. The research underscores the urgency of preserving and promoting the unique cultural heritage of Chinese shoulder carrying. Not only does it contribute to national identity, but it also carries broader implications for spinal health on a global scale. By highlighting the importance of this cultural practice, the paper aims to foster greater recognition within the international scientific community of the significance of the Chinese shoulder-carrying culture. Through a blend of social medicine, participant observation, and human bowstring mechanics anatomical system studies, this research bridges anthropology, biomechanics, and cultural studies. It provides a platform for understanding human adaptability and the influence of cultural factors on physical capabilities. Conclusion: This is a typical case of a traditional spine that has been affected by the Chinese shoulder-carrying culture, which still retains its load-bearing capacity even after suffering from lumbar spinal stenosis with intervertebral disc protrusion. Therefore, it is crucial to protect the Chinese load-bearing spine in the traditional Chinese shoulder-carrying culture, and the Chinese load-bearing method is an effective way to counteract spinal recoil and prevent spinal disorders. This approach is scientifically sound and offers numerous benefits.
Exploring the Relationship Between CO2 Emissions and Fuel Consumption in Road Transport: Empirical Evidence from Chad
Authors: Boukar Michel , Sapnken Flavian Emmanuel , Diboma Benjamin , Ewodo-Amougou Marcel Rodrigue , Sama Jean Marie Stevy , Tamba Jean Gaston
Published: March 2024

Over the period 2008-2019, this study examines the linear impact of petroleum product (PP) consumption in Chad, PP prices, the vehicle fleet and urbanisation on CO2 emissions  on the one hand, and on the other, it determines the causal links that exist between the various variables studied. This study opts for the augmented Dickey-Fuller and Phillips-Perron tests to verify the stationarity of the variables. The ARDL model is then estimated and diagnostic tests are performed to confirm the validity of the model. To confirm the existence of long-term relationships, the bounds test was applied. Finally, the Toda-Yamamoto causality test was used to capture the influences present between the series under study. The main results show that, in the long term, a 1% increase in gasoline consumption would lead to a 1.03% increase in CO2 emissions and the linear impact of diesel consumption is positive and insignificant on CO2 emissions. In the short term, gasoline and diesel consumption have a positive and insignificant impact on CO2 emissions. In terms of causality, there is a unidirectional causality from gasoline consumption to CO2 emissions  and a bidirectional causality between CO2 emissions and diesel consumption. This study is the first to simultaneously link CO2 emissions, PP consumption, PP prices, the vehicle fleet and urbanisation in general, and particularly in the case of Chad. It therefore adds to the literature on the simultaneous relationship between CO2 emissions, PP consumption, the car fleet and urbanisation in a global and restricted context.  This study could guide Chadian oil pollution management decision-makers in adopting policies related to the effects of PP consumption in the road transport sector.
Comparison and Implementation of Environmental Law Policies in Handling Climate Change in ASEAN Countries: A Comparative Study of Indonesia, Malaysia, and Thailand
Authors: Lestari Setyani Dwi , Leon Farah Margaretha , Riyadi Selamet , Qodariah Qodariah , Putra Aditya Halim Perdana Kusuma
Published: March 2024

Addressing climate change is a global issue that requires collaborative efforts and effective policies. In the ASEAN region, countries such as Indonesia, Malaysia and Thailand have similar challenges in dealing with the impacts of climate change and promoting environmental sustainability. In this context, this study aims to compare the environmental law policies implemented by the three countries. This study uses a comparative method to analyze the differences and similarities of environmental law policies in addressing climate change in Indonesia, Malaysia, and Thailand. First, the national legal framework governing environmental protection and climate change will be analyzed. Next, specific policies that have been implemented to reduce greenhouse gas emissions, encourage renewable energy, and promote adaptation to climate change will be explored. Through this approach, this study is expected to provide a better understanding of the effectiveness of environmental law policies in addressing climate change in ASEAN countries. The results of this comparative analysis will provide insights into the successes and challenges faced by each country, as well as recommendations for future policy improvements. The findings of this research are expected to provide valuable inputs for policy makers, legal practitioners, and other relevant stakeholders in developing more effective strategies in addressing climate change at the national and regional levels. With a better understanding of comparative environmental law policies, ASEAN countries can learn from each other and work together to achieve common goals in facing the challenges of climate change.
Exploring the Nexus between CO2 Emissions, Trade, and Sustainable Economic Growth: A Novel NARDL Approach
Authors: Mohsin Muhammad , Shamsudin Mad Nasir , Alshammary Khalid Mahsan , Sarfraz Muddassar
Published: March 2024

This study investigates the nexus between CO2 emission, trade, Gross domestic product (GDP), and tourism in Pakistan during 1990-2019. We examined the asymmetric relationship between CO2 emission, international trade, Gross domestic product (GDP), and international tourism number of arrivals in Pakistan. Data Stationarity has been tested using the Augmented Dicky Fuller (ADF), Kwiatkowski-Phillips-Schmidt-Shin (KPSS), and Phillips-Perron (PP) tests for unit roots. We used the NARDL technique. Then a Granger Causality helped estimate the relationship between these environmental variables. If there is an asymmetric association between these variables, we estimate the non-linear auto-regressive distributed lag, which is the most applicable econometric estimate. The ARDL technique can potentially explore the dynamic nexus between CO2 emission, tourism, GDP, and trade. Our findings suggest a dynamic relationship between tourism, trade, CO2 emission, and GDP from Pakistan's perspective. The outcomes reveal that negative and positive shocks to trade, GDP, and tourism affect CO2 emissions in the short and long term. The Granger Causality findings also determined that causality is directed from Tourism toward CO2 emission, while unidirectional causality was found between CO2 emission and tourism. In this study, the graphs of the CUSUM and CUSUMQ determined the functional stability of the established relationship. This indicates that this model is a suitable and valuable strategy tool. Therefore, an increase or decrease in the macroeconomic series will cause variation in carbon emissions in Pakistan in the long -term. The finding benefits macro-level policymakers and will provide important insight for the relevant stakeholders.
Revisiting the relationship between Oil Price and Food Prices in the US: Evidence from Threshold Cointegration with Asymmetric Adjustment
Authors: Hamouda Abderrazek Ben
Published: March 2024

The main objective of this paper is to investigate the interaction between oil and food prices using threshold cointegration analysis. The study uses monthly data from January 1997 to September 2020. Empirical results reveal evidence of asymmetry in the adjustment process toward equilibrium. Uni-directional causality is detected between the variables, with oil prices causing changes in food prices. Additionally, oil prices are found to be cointegrated with food prices, suggesting the presence of an asymmetric adjustment mechanism. Specifically, the speed of adjustment to equilibrium varies depending on the sign of the last equilibrium error. The study recommends that policymakers should consider adopting measures that promote energy diversification, sustainable agricultural practices, and price stabilization mechanisms to mitigate the impact of oil price fluctuations on food prices and to enhance overall economic stability.
Photovoltaic Projects for Multidimensional Poverty Alleviation: Bibliometric Analysis and State of the Art
Authors: Castro Leonarda F. C. , Carvalho Paulo C. M. , Saraiva João P. T. , Fidalgo José Nuno
Published: March 2024

Motivated by initiatives such as the UN Sustainable Development Goals (SDG), particularly SDG 1 - Poverty Eradication and SDG 7 - Clean and Accessible Energy, the search for solutions aiming to mitigate poverty has been recurrent in several studies. This paper main objective is to evaluate the dynamics of global research on the use of photovoltaic projects for poverty alleviation (PVPA) from 2003 to 2022. We use a bibliometric analysis to identify publication patterns and consequently list research trends and gaps of the area. A total of 336 publications from Scopus database are identified and complemented by a state-of-the-art study, where the articles are investigated and classified according to: business model and financing and evaluation of PVPA results. The results show that PA is often associated with PV power and its application in rural areas. “Biomass” and “application in developing countries” have become a trend. Urban areas application, aiming to reduce poverty, and the need for a synergetic integration of energy and urban planning, to mitigate the risks associated with energy flow and efficiency, are the most relevant gaps identified. Most of the publications focus on macropolicies effects involving PV technology; papers on projects construction and ex-post are not identified.
Nexus between Nuclear Energy, Economic Growth, and Greenhouse Gas Emissions in India
Authors: Raihan Asif , Zimon Grzegorz , Alam Mohammad Mahtab , Khan Md. Rehan , Sadowska Beata
Published: March 2024

The escalating demand for fossil fuels in India has resulted in a significant strain on the environment due to the amplified emissions of greenhouse gases (GHGs). Nevertheless, India possesses a significant capacity for nuclear energy, as seen by its 22 operational nuclear reactors. This capacity holds promise for reducing GHG emissions. This research utilized a dataset spanning from 1969 to 2021 to examine the impact of nuclear energy utilization on GHG emissions. The study also aimed to verify the validity of the environmental Kuznets curve (EKC) hypothesis in India, employing the Autoregressive Distributive Lag (ARDL) model. The findings suggest that the EKC is applicable to India. Furthermore, it has been observed that a marginal increase of 1% in the use of nuclear energy leads to a reduction of GHG by 0.02% in the immediate term and 0.16% in the long term. This finding highlights the significance of expanding nuclear power as a crucial policy objective in order to attain environmentally friendly and sustainable economic development.
The Unsustainable Path: Assessing Indonesia’s Reliance on Fossil Energy in Economic Growth
Authors: Sukanto Sukanto , Azwardi Azwardi , Hamira Hamira , Atiyatna Dirta Pratama
Published: March 2024

Indonesia is the most energy-intensive country in Southeast Asia. Indonesia's energy consumption reaches 40 percent of the total energy consumption in the Southeast Asian region. This study aims to analyze the relationship between economic growth and energy consumption in Indonesia in 2000-2021. The variables used are oil and gas GDP, energy consumption, global price, net exports and imports, foreign investment, and domestic investment. The data used is obtained from macroeconomic data and requires stationarity testing. This study uses a quantitative research type to assess energy consumption and its relationship with oil and gas GDP in Indonesia with the Auto-Regressive Distributed Lag (ARDL) Model Approach. The results of this study indicate that increasing development and dynamic economic growth will be accompanied by increasing energy demand. The conclusion of this study is that the ARDL model estimation results show significant differences in the influence of variables on oil and gas GDP in Indonesia in the short and long term.
The Risk Transfer among Exchange Rates, Energy Commodities, and Agricultural Commodity Prices in SADC Countries
Authors: Vuba Nonelelo , Qabhobho Thobekile
Published: March 2024

This paper investigates the risk transfer between exchange rates, energy commodities, and agricultural commodity prices in SADC nations from July 29, 2007, to December 18, 2022. The Time-varying parameter Vector Autoregression connectivity technique is specifically used. The total connectivity index for the specific network of energy commodities, currency rates, and agricultural commodities is 24.39%. The energy commodities index (crude oil and heating oil) and the ZAR were the largest shock transmitters, according to averaged dynamic connectedness. In contrast, two SADC currency markets (MWK and MZN), natural gas, and corn were net shock recipients. Furthermore, overall connection indices were shown to change dramatically with high sensitivity to crisis events, particularly the 2007/2008 crisis and the COVID-19 pandemic. As indicated by net directional connection, most energy commodities, as well as the Rand and the Pula, were persistent net transmitters over time. This is especially noteworthy given oil's direct impact on agricultural commodities. The findings of this paper are useful for policymakers who are attempting to maximize public benefit. Policymakers charged with developing policies for economically vulnerable segments of the population should use these findings to examine the potential impact of changes in energy prices on food and currency markets.
Analysis of the Main Social Macroeconomic Indicators of the Population During The oil Boom in Azerbaijan
Authors: Humbatova Sugra Ingilab , Hajiev Natig Gadim-Oglu
Published: March 2024

Indicators directly related to the economies of oil−exporting countries, and especially the socio−economic well−being of the population, depend on the resource potential and prices for resources of these countries. The income of the population, their average monthly salary, the average amount of monthly pensions, the average amount of old−age pensions, the average amount of disability pensions, the amount of pensions for the loss of the head of the family form the basis of the state of financial well−being. Taking them as a basis, we completed the goal of our research by constructing models that determine the dependence of the main indicators of the socio−economic and, of course, material well−being of the population of Azerbaijan on world oil prices. The study covers the years 1997−2022. The  and  models are adapted to determine long−term and short−term levels of these indicators, taking into account world oil prices. According to the results, a high level of co−integration relationship with world oil prices and socio−economic indicators of the population is noted. This has also been proven in the short term. Thus, the alternative , , , and models used to validate these results further demonstrated the importance of these interactions. Moreover, the study also conducted a combined Bayer−Hank co−integration test. But the results turned out to be somewhat different. The results of this study can be taken into account to one degree or another in the socio−economic policy of the state in Azerbaijan.
The Effect of Energy Security on Economic Growth in ASEAN During 2000–2020
Authors: Kusumawardani Deni , Agusti Kemala Sari
Published: March 2024

Energy is an important input for economic growth. The increase in non-renewable energy consumption has an impact on energy insecurity. This study aims to calculate energy security and analyze its effect on ASEAN economic growth during the 2000–2020 period. The method used in this study is the Principal Component Analysis to calculate energy security and the Feasible Generalized Least Square panel data regression to analyze its effect on economic growth. The authors use four dimensions to build an energy security index, namely availability, accessibility, acceptability, and efficiency. Several variables are included in the model, are capital, labor, trade, and world oil price. The results of this study indicate that the index and dimensions of energy security have a positive influence on ASEAN economic growth, except for the efficiency dimension. Capital. employment, trade, and oil prices have a positive influence on ASEAN economic growth. Regional Governments need to reduce the gap in the electrification ratio in several countries and build energy infrastructure. The government also needs to increase the application of energy diversification, increase renewable energy production and the need to pay more attention to environmental policies in economic activities.
Clarifying the nexus between Trade Policy Uncertainty, Economic Policy Uncertainty, FDI and Renewable Energy Demand
Authors: Qamruzzaman Md.
Published: March 2024

: As the world becomes increasingly aware of the need to shift towards sustainable energy sources, China and the United States are two global superpowers leading this transition. With growing populations and increasing demand for energy, these countries have recognized the importance of renewable energy in meeting their needs while reducing carbon emissions. The motivation of the study is to evaluate the impact of trade policy uncertainty on renewal energy demean in the USA and China for the period 2000-2021 by employing linear and nonlinear assessment. The test statistics derived through the cointegration test by following Bayer-Hancked and Makki's cointegration established a long-run tie in the empirical equation. Moreover, the long-run linkage was revealed with symmetry and asymmetry investigation. Referring to the coefficients of linear assessment, the study established that uncertainties have a detrimental role in clean energy demand in the long- and short-run assessment. The asymmetric association between uncertainties and REC has been documented through the execution of a standard weld test with the null of symmetry. The directional causality test established a unidirectional linkage between trade policy uncertainty and REC [TPU<- ->REC], and a bidirectional linkage between economic policy uncertainty and REC [EPU<- ->REC].
How Sustainable is Environmental Economics? A Review of Research Trends and Implications
Authors: Al-Zoubi Waleed Kalf
Published: March 2024

Embarking on a comprehensive review of the Environmental Economics literature, we employed a bibliometric approach to gather 6,118 articles published between 1993 and 2023 from Scopus-indexed journals. Leveraging various software tools, including RStudio, VOSviewer, and Excel, we analyzed the data to identify the most active scientific contributors in terms of countries, institutions, sources, documents, and authors. Our examination revealed a notable upward trend in publication starting from 2017, underscoring the increasingly diverse applications of Environmental Economics across domains such as Sustainability, Environmental Footprints, Carbon Emissions, Climate Impact, Navigating Environmental Governance, Policies for Sustainable Futures, Economic Approaches, and Environmental Sustainability. Notably, China, the United States, and the United Kingdom emerged as the top three contributors to the literature. The findings of our study offer valuable insights for market participants, particularly in understanding how Environmental Economics can inform their decision-making processes.
An Overview of Electricity Consumption in Europe: Models for Prediction of the Electricity Usage for Heating and Cooling
Authors: Yukseltan Ergun , Aktunc Esra Agca , Bilge Ayse H. , Yucekaya Ahmet
Published: March 2024

Although aggregate electricity consumption provides valuable information for market analysis, demand composition, including industrial, residential, illumination, and other uses, and special days, such as national or religious holidays and annual industrial shutdowns, differ for each country. This paper analyzes the hourly electricity consumption of European countries in the European Transmission System Operation for Electricity (ENTSO-E) grid from 2006 to 2018. We propose an outlier detection method to identify special days and a modulated Fourier Series Expansion model to determine the breakdown of industrial versus household consumption and heating versus cooling consumption. The proposed outlier detection method uses the time series for each hour and checks whether a day has more than a threshold number of hours with exceptional electricity consumption levels. The proposed demand prediction model has a 3% average error when electricity usage for heating is not dominant. It also allows country classification based on consumption patterns to efficiently manage regional or country-based electricity markets.
Effectiveness of Random Forest Model in Predicting Stock Prices of Solar Energy Companies in India
Authors: Meher Bharat Kumar , Singh Manohar , Birau Ramona , Kumar Sunil , Anand Abhishek
Published: March 2024

The solar energy industry's positive impact on India's GDP is perceptible through increased investments, innovation, and enhanced energy security. As the nation continues to prioritize clean energy solutions, the solar sector stands as a key player driving both economic prosperity and environmental sustainability, aligning India with world wide determinations to battle climate change and encourage a greener future. As the Indian government continues to champion initiatives promoting renewable energy, Solar Energy Companies have seen unprecedented growth and have become increasingly attractive to investors seeking long-term, sustainable returns. This influx of interest, however, brings with it the challenge of navigating the volatile and dynamic nature of the stock market. In this context, forecasting the stock prices of solar energy corporations in India becomes a pivotal aspect of investment strategy for both institutional and retail investors. This paper targets to add to the prevailing body of knowledge by evaluating the efficacy of the Random Forest model, a machine learning technique known for its versatility and robustness, in forecasting the stock prices of top four Solar Energy Companies in India on the basis of market capitalization, by using the daily opening, high, low and closing stock prices ranging from 1st October, 2019 to 30th September, 2023 i.e. 4 years. The findings reveal that high Coefficient of Determination (R2) values for all companies, ranging from 0.9928 to 0.9939 is a clear indication of the model's ability to predict a substantial portion of the variance in each company's stock prices. But in case of Adani Green Energy Ltd a notably higher MSE and RMSE are exhibited, implying a greater degree of fluctuation in prediction accuracy compared to the other companies. On the other hand, all the selected solar energy companies display lower MAE values, indicating tightly clustered predictions around actual values.
The Evolution of Commodity Trios Prices and Causality Equation: In Structural Break Perspective
Authors: Pala Aynur
Published: March 2024

This paper aims to examine the evolution of the commodity trios prices and relation among in structural break perspective for the period of 1991-2020. We used factor analysis, linearity, structural break, unit-root, cointegration tests and causality method were applied. Bai-Perron (2003) test results show industrial materials, energy and food price have one break at 2003, 2004, and 2005, respectively. To catch changing causality equation parameters clearly, it was used the moving sub-break range as 2003-2008. In post-break range, equation parameters obviously differed. In pre-break range, energy and food price have a in-directional effect on materials price, but, directional in post-break range. Lastly, in post-break range, the link among commodity trios have bi-directional relation between all commodity duos unlike pre-break range.
Green Tech and Human Dynamics: Transforming Indonesia’s Waste Industry with VR, AR, and Renewable Energy Innovations
Authors: Manurung John Sihar
Published: March 2024

The objective of this study is to assess the impact of implementing virtual reality technology, augmented reality, renewable energy, and green leadership on industrial sustainability in waste management in Indonesia. Additionally, this study aims to examine the role of HR attitudes as a moderating variable in this context. The study focuses on leaders of large and medium-sized companies in Indonesia in 2022. The study examines several variables, including virtual reality, augmented reality, the application of renewable energy, and the application of green leadership. The study also considers exogenous variables such as industrial sustainability in waste management in Indonesia, and moderating variables such as HR behaviour. The data analysis employs SEM analysis using SMART PLS 3.0 software. The study methodology employed entails a quantitative descriptive approach utilising data analysis through the structural equation model (SEM) method. The data processing using the SEM method is conducted with the PLS application. Based on the findings of previous studies, it can be inferred that virtual reality, augmented reality, renewable energy, and green leadership have a partial impact on the sustainability of industrial businesses involved in waste treatment in Indonesia. Additionally, these variables also influence the behaviour of HR in responding to technological changes and the adoption of renewable energy in waste management companies in Indonesia. The variables of virtual reality, augmented reality, renewable energy, and green leadership have a simultaneous impact on the sustainability of industrial businesses involved in waste treatment in Indonesia. This impact is mediated by the HR behaviour in response to changes in technology adoption and the use of renewable energy in waste management companies in Indonesia. By implementing virtual reality and augmented reality technologies, as well as embracing the latest energy solutions and fostering a green leadership mind-set, companies can drive changes in human resource behaviour. This will enable employees to continuously adapt to technological advancements, particularly in smartphone applications, and leverage them to enhance existing businesses and ensure their sustainability. Moreover, the promotion of green energy will induce a shift in human resource practices towards consistently utilising eco-friendly energy sources and embracing sustainable leadership models within each organisation. This will ensure the long-term survival of the organisations and mitigate environmental harm caused by global warming.
European Tourism Sector Development in the Context of Energy Uncertainty
Authors: Kocourková Michaela , Kuziboev Bekhzod , Matniyozov Murodjon
Published: March 2024

The research is a novel to study the impact of energy uncertainty on international tourism receipt in 11 European countries namely Belgium, Croatia, Denmark, France, Germany, Greece, Ireland, Italy, Netherlands, Spain and Sweden due to availability of energy uncertainty index data recently developed by Dang et al. (2023). As econometric tool, we employ a Fully Modified Ordinary Least Squares (FMOLS) framework and include obtained long-run relations in a panel Vector Error Correction model (VECM). The findings suggest that 1% increase in energy uncertainty leads to 0.08% decrease in international tourism receipt in Europe. Moreover, international tourism receipt reaches the equilibrium with the adjustment speed of 23% annually. Regarding the effect of control variables, economic development has a negative relation whereas CO2 emissions and institutional quality have a positive association with international tourism receipt. As a policy implication, enhancing renewable energy is suggested to cope with energy uncertainty consequences that might affect tourism development.
Diabetes Prediction with Machine Learning with Python
Authors: Kumar S. Rakesh , G Kruthi. , Supraja V.
Published: March 2024

This article introduces an innovative approach leveraging a combination of machine learning techniques to enhance early diabetes detection, a crucial step given the disease's global impact. With the prevalence of sugar and fats in contemporary diets contributing to an increased diabetes risk, early identification through symptom recognition is key. The proposed method integrates Using Support Vector Machine (SVM) and Artificial Neural Network (ANN) algorithms, patient data is analyzed to classify diabetes diagnoses as either affirmative or negative. The study involves the utilization of a dataset that has been divided into 70% for training data and 30% for testing data. The outputs from the SVM and ANN models serve as inputs for a fuzzy logic system, which then makes the final diagnosis determination. This hybrid model is stored on a cloud platform for accessibility and uses real-time patient data for predictions. The combined machine learning model demonstrates superior accuracy in predicting diabetes compared to existing methods.
Metropolitan Marvels : To Forge Seamless Possibilities for Urban Discoverability and Connectivity
Authors: Shree B Divya , R Disha , Ms. Sreelatha  , Vishwakarma Shivangi
Published: March 2024

Embodies a particular approach with the devising set out to enrich the quality of the city living experience incorporating technology and real human relationships in applying information in the city. The research journey is going to trace dynamic pathways underpinning in software development through powerful tools like Android Studio among others that helps in designing simple and user-friendly interfaces that easily adjust themselves to the diversity of the residents who live in cities and visitors come to the city. It now focuses to build proper links of implementation not on the technological strides but only by increasing the spotlight. Reliability as well as availability is ensuring that hustling has a strong back-end that would handle the data smoothly by the use of applications like Firebase and Room Persistence. Added to it, the approach makes use of offline capabilities as well part of validation of strict security precursors for performing through real-user trials while designing the likes of the application in conformance to the changing user preferences of the urban communities. This methodology visualizes transformative fostering of people-centric cities in successfully intricacy technology by richness of human experiences within innovative city information application, and elevated urbanlifestyles.
A Review on Sentiment and Emotion Analysis for Computational Literary Studies
Authors: Makhdom Nasrullah , Verma H N , Yadav Arun Kumar
Published: March 2024

In sentiment analysis, emotions refer to the subjective feelings expressed in a text or speech that can be classified as positive, negative or neutral. Emotions are an important aspect of sentiment analysis because they provide insights into the attitudes, opinions and behaviors of individuals toward a particular topic or entity. The emergence of digital humanities has allowed for a more computational approach to understanding emotions in literature. The passage provides an overview of existing research in this area and understanding the emotionality involved in  text. Throughout this survey, it has been demonstrated that sentiment and emotion analysis is increasingly attracting attention within the field of digital humanities, particularly in computational literary studies.
La desmovilización social de los márgenes urbanos: un análisis del caso chileno
Authors: Escoffier Simón
Published: March 2024

Los estudios que explican la desactivación de movimientos sociales urbanos como efecto de políticas neoliberales entregan una imagen generalizadora del fenómeno. En otras palabras, no se hacen cargo adecuadamente de cómo ocurre esa desmovilización en sectores o grupos particulares. Tampoco explican por qué algunos grupos se movilizan pese a exponerse a esas mismas políticas públicas. Este artículo se concentra en las políticas dirigidas a la pobreza urbana en Chile para entregar una explicación diferente del fenómeno de la desmovilización. Se basa en trabajo de campo realizado en barrios desaventajados de Santiago de Chile y en otros estudios empíricos para generar un marco analítico innovador sobre la desmovilización social en sectores populares urbanos. Dicho marco tiene tres componentes: cierre de las oportunidades políticas, marginación espacial y gobernanza socializadora. Eso permite distinguir factores necesarios y suficientes en un modelo teórico que admite casos excepcionales que no sucumben a la desmovilización social.
КОНЦЕПТУАЛЬНІ ЗАСАДИ ІННОВАЦІЙНОЇ ЕКОСИСТЕМИ ПІДПРИЄМНИЦЬКОЇ ДІЯЛЬНОСТІ ТА ЗДІЙСНЕННЯ ДЕРЖАВНОГО КОНТРОЛЮ ЗА МІЖНАРОДНИМИ ПЕРЕДАЧАМИ ТОВАРІВ (ТЕХНОЛОГІЙ) ПОДВІЙНОГО ВИКОРИСТАННЯ
Authors: Волощук К. Б. , Волощук В. Р.
Published: March 2024

У статті визначені концептуальні засади інноваційної екосистеми, розгортання масштабної інноваційної підприємницької діяльності, основні пріоритети, шляхи, заходи, напрями, завдання реформування оборонно-промислового комплексу та вдосконалення регуляторних важелів впливу держави на інноваційний розвиток, структури за інноваційною моделлю. Досліджено тенденції науково-технічної і інноваційної політики ЄС та стратегічних технологічних трендів щодо демократизації генеративного штучного інтелекту; управління довірою, ризиками та безпекою; безперервного виявлення кіберзагроз; стійких технології; розробки інженерної платформи та на основі штучного інтелекту; галузевих хмарних платформ; інтелектуальних програм; робочої сили з розширеним підключенням. Виокремлено необхідність мережування впровадження інноваційної підприємницької діяльності для задоволення потреб держави в сучасних високоефективних системах та розбудови в Україні інноваційних екосистем в умовах воєнного стану швидких, масштабних і постійних змін глобального середовища, забезпечення підвищення обороноздатності країни, для здобуття перемоги, безпеки повоєнного відновлення та розвитку. Запропоновано концептуальну модель організації екосистеми як центру генерування оборонних інновацій. Удосконалені механізми здійснення державного контролю за міжнародними передачами товарів (технологій) подвійного використання взаємовідносин між замовниками, постачальниками, виробниками, споживачами та іншими контрагентами мереж екосистеми і партнерів задіяних при виконанні умов контрактів (договорів) згідно узгоджених обсягів закупівель необхідних оборонних засобів чи комплектуючих; вдосконалення системи оперативного середньо- та довгострокового планування нових програм та проектів на етапах розробки інновацій і контролю, впровадження у виробництво та реалізації і безпечного використання озброєння, збільшення обсягів фінансування інноваційного розвитку оборонно-промислового комплексу, підвищення ефективності військово-технічного співробітництва з партнерами в Україні та іноземних держав.
СИНЕРГІЯ В ІНДУСТРІЇ ТУРИЗМУ ТА ГОСТИННОСТІ
Authors: Миронов Ю. Б.
Published: March 2024

Індустрія туризму та гостинності є однією з найбільш важливих та динамічних галузей у сучасному світі. Вона відіграє важливу роль у розвитку національних економік країн та глобальної економіки загалом, сприяє збереженню культурної спадщини та залученню іноземних інвестицій. Однак для досягнення максимального успіху в цих сферах бізнесу необхідно використовувати синергію – взаємодію різних галузей та суб’єктів господарювання задля досягнення спільних цілей. Синергія в індустрії туризму та гостинності базується на взаємодії різних суб’єктів господарювання, таких як туристичні агентства, готелі, ресторани, транспортні компанії, туристичні атракції та інші. Кожен із них має свої унікальні ресурси та можливості, які, використовуючи синергію, можна поєднати для досягнення спільного успіху. У статті розглядається специфіка прояву синергетичних ефектів в індустрії туризму та гостинності, а саме: синергетичний ефект масштабу, спільне виробництво туристичного продукту та спільні маркетингові заходи, спільна розробка нових туристичних напрямків та інноваційних продуктів, спільна інвестиційна діяльність. Вивчено позитивний вплив синергетичних ефектів на сталий розвиток туризму. Зазначається, що застосування синергії в індустрії туризму та гостинності допомагає підвищити ефективність та конкурентоспроможність галузі. Співпраця між різними суб’єктами ринку туристичних послуг та послуг гостинності дозволяє створювати комплексні туристичні продукти, проводити спільні маркетингові кампанії, розробляти нові напрямки та інвестувати у спільні проєкти. Це сприяє залученню більшої кількості клієнтів, розвитку туристичних дестинацій, збільшенню прибутків компаній, створенню нових можливостей та інноваційному розвитку, що дає поштовх подальшому розвиткові індустрії туризму та гостинності. Отже, синергія – це необхідний елемент успішної діяльності в туристичному та готельно-ресторанному бізнесі.
РОЗВИТОК ІННОВАЦІЙНИХ БІЗНЕС-ТЕХНОЛОГІЙ У ТОРГОВЕЛЬНО-ТЕХНОЛОГІЧНИХ СИСТЕМАХ: СУЧАСНІ НАПРЯМИ
Authors: Середа С. А. , Демидчук Л. Б.
Published: March 2024

Менеджмент торговельних компаній прагне мінімізувати витрати обігу, більш раціонально використовувати торговельні площі, підвищити обсяг середнього чека, частоту покупок і в результаті вийти на приріст рентабельності. Такий прямолінійний підхід, незважаючи на очевидну економічну привабливість, ігнорує головний орієнтир бізнесу, базованого на наданні товарів і послуг, – пошук шляхів задоволення потреб клієнтів і покупців. Стаття присвячена проблемі інноваційного розвитку торговельних підприємств, функціонування яких розглядається з позиції системного підходу. Запропоновано загальний вигляд торговельної технологічної системи, визначено принципи її інноваційного розвитку: оптимізація шляхів доставки товару; оснащеність матеріально-технічною базою відповідно до вимог сучасної нової економіки; оптимальне використання засобів доставки товару; удосконалення технологічного ланцюга товароруху; застосування інноваційного торговельно-технологічного обладнання замість ручної праці; орієнтація на споживача; інтеграція з виробниками та посередниками; ефективна дистрибуція; бенчмаркінг торговельних технологій. Визначено зміст дефініції “торговельна інновація”, під якою розуміють зміну, що досягається в результаті використання наукових досягнень, досліджень і розробок, які реалізуються з метою вдосконалення основної та додаткової торговельної послуги, а також економічних і соціальних відносин у сфері товарного обігу. Розглянуто економічний зміст категорії “інноваційні бізнес-технології в торгівлі”, визначено можливі напрями їх розвитку: інформатизація, кастомізація, мережевізація. Доведено, що перехід економіки до інформаційної фази розвитку суттєво впливає на трансформацію концептуальної спрямованості підприємництва, яке набуває інформаційного вектора розвитку та базується на мережевій взаємодії. Інформаційне спрямування розвитку бізнес-технологій у торгівлі актуалізує питання комерціалізації торговельних інновацій, які передбачають трансформацію купівельної поведінки, у результаті створюються умови для формування бімодальної ІТ-архітектури торгівлі. Зроблено висновок, що краще розуміння особливостей торговельно-технологічної системи дає змогу акцентувати зусилля менеджменту торговельних компаній на специфічних напрямах реалізації інноваційних бізнес-технологій.