ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
On the identity of Thymushumifususvar.aureopunctatus (Lamiaceae) and taxonomic notes on the Th.richardii complex

The name Thymushumifususvar.aureopunctatus, described from Bosnia and Herzegovina, is lectotypified, and its taxonomic value is discussed. Thymusrichardiisubsp.richardii is currently considered an endemic subspecies common to Mallorca (Balearic Islands) and Bosnia and Herzegovina from the Balkan Peninsula. Specimens identified as Th.richardii from both Balearic Islands and Bosnia and Herzegovina were studied to determine if they are indeed the same taxonomic entity. Detailed micromorphological observations and morphometric analysis, suggest that the Balkan plants (Th.humifususvar.aureopunctatus) and the Majorcan populations (Th.richardiisubsp.richardii) are clearly separate entities. For the former name, based on morphological, phytochemical, biogeographical and present results, we propose the subspecific rank, as Th.richardiisubsp.aureopunctatuscomb. & stat. nov. Full descriptions of all five subspecies currently accepted within Th.richardii are provided.
A New Socio-economic Indicator to Measure the Performance of Bioeconomy Sectors in Europe

The European Commission supports the production of renewable biological resources and their conversion into value added products and bio-energy. A new bioeconomy strategy aimed at promoting a sustainable Europe was launched in October 2018. However, little work has been done to monitor, model and appraise the impacts and developmental trajectories of bioeconomy sectors. To gauge the current sustainability performance of individual European countries, the present study proposes a new indicator - the "socio-economic indicator for the bioeconomy" (SEIB) - to measure the socio-economic performance of bioeconomy sectors. Drawing on Eurostat data and the analytic hierarchy process, multi-criteria decision analysis is employed with the aim of providing a direct comparison between member states (MSs). However, bioeconomy involves a large number of sectors and, therefore, it is useful to propose two versions of this indicator in order also to single out the impact of most innovative sectors: the first version considers all bio-based sectors ("SEIB for overall sectors") while the second version excludes all primary sectors ("SEIB for manufacturing and bio-energy sectors"). The results identify three groups of MSs (virtuous, in-between and laggard) with reference to the European average. Ireland occupies the first position in the ranking, and only three other MSs (Denmark, Portugal and Austria) qualify as "virtuous" countries in both rankings.
Assessment of Energy Systems Using Extended Fuzzy AHP, Fuzzy VIKOR, and TOPSIS Approaches to Manage Non-Cooperative Opinions

Energy systems planning commonly involves the study of supply and demand of power, forecasting the trends of parameters established on economics and technical criteria of models. Numerous measures are needed for the fulfillment of energy system assessment and the investment plans. The higher energy prices which call for diversification of energy systems and managing the resolution of conflicts are the results of high energy demand for growing economies. Due to some challenging problems of fossil fuels, energy production and distribution from alternative sources are getting more attention. This study aimed to reveal the most proper energy systems in Saudi Arabia for investment. Hence, integrated fuzzy AHP (Analytic Hierarchy Process), fuzzy VIKOR (Vlse Kriterijumska Optimizacija Kompromisno Resenje) and TOPSIS (Technique for Order Preferences by Similarity to Idle Solution) methodologies were employed to determine the most eligible energy systems for investment. Eight alternative energy systems were assessed against nine criteria-power generation capacity, efficiency, storability, safety, air pollution, being depletable, net present value, enhanced local economic development, and government support. Data were collected using the Delphi method, a team of three decision-makers (DMs) was established in a heterogeneous manner with the addition of nine domain experts to carry out the analysis. The fuzzy AHP approach was used for clarifying the weight of criteria and fuzzy VIKOR and TOPSIS were utilized for ordering the alternative energy systems according to their investment priority. On the other hand, sensitivity analysis was carried out to determine the priority of investment for energy systems and comparison of them using the weight of group utility and fuzzy DEA (Data Envelopment Analysis) approaches. The results and findings suggested that solar photovoltaic (PV) is the paramount renewable energy system for investment, according to both fuzzy VIKOR and fuzzy TOPSIS approaches. In this context our findings were compared with other works comprehensively.
Carbon inequality and economic development across the Belt and Road regions

Given the aim of maintaining global warming below 2 degrees C, carbon emission reduction has become a global top priority. Since the Belt and Road Initiative has increasing influence on manufacturing-oriented developing countries, more attention should be paid to carbon emission reduction in these regions. This study conducts a comprehensive analysis by analyzing the carbon inequality and regional development and compares the carbon emissions driven by final demand among countries in and outside the Belt and Road area from 1990 to 2015. It is found that the majority of the Belt and Road regions achieved a rapid GDP growth rate with increasing carbon emissions, in which the investment-driven type demonstrated a significant growth. In contrast, the developed countries outside the Belt and Road area maintained their economic growth while decreasing the carbon emissions owed to the declining of investment-driven emissions; however the consumption-driven emissions stably remained a relatively high level. Our results showed that the inequality of carbon emission within Belt and Road regions is lower than the global average, while the inequality of the investment-driven emissions showed an obviously increasing trend. By discussing the carbon inequality and regional development, rational and feasible strategies for countries and regions within and outside the Belt and Road area are essential, and different types of strategies such as low-carbon technologies transfers and overseas financial cooperation are suggested for regional carbon emission reduction and sustainable regional development under the Belt and Road Initiative.
Sustainable circular supplier selection: A novel hybrid approach

Circular supplier selection is the process of selecting suppliers in a closed-loop supply chain. Sustainable circular supplier selection addresses the social and environmental concerns in circular supplier selection problems. In this paper, for the first time, we combine the fuzzy best-worst method and the interval VIKOR technique to evaluate and prioritize sustainable suppliers in circular supply chains. The evaluation criteria are classified into three categories of economic, social, and circular factors extracted based on the domain expert's opinions. The fuzzy best worst method is used to weigh the criteria, and the interval VIKOR technique is applied to evaluate the suppliers in the presence of uncertainty. This study contributes to the sustainable development goals (SDG's) of providing Decent Work and Economic Growth (SDG 8) and Responsible Consumption and Production (SDG 12). The proposed method is then used to evaluate six suppliers in the wire-and-cable industry in Iran. The results obtained from the implementation of the proposed approach and its sensitivity analysis indicate the applicability and efficiency of the proposed approach. (C) 2020 Elsevier B.V. All rights reserved.
How Does Firm ESG Performance Impact Financial Constraints? An Experimental Exploration of the COVID-19 Pandemic

This research assesses the effects of COVID-19-associated shocks on financial constraints and sustainable development goal (SDG) performance to shed light on the impact of SDGs on economic recovery. We construct a large sample of Chinese listed firms from quarterly firm-level accounting data from the China Stock Market & Accounting Research Database for the period 2019Q1-2021Q1, matched with environmental, social, and governance (ESG) scores, SDG performance from the WIND Database, and complemented with data on cumulative and new cases of COVID-19 from the World Health Organization. We use difference-in-differences to investigate any causal effect from COVID-19. We find that COVID-19 induces financial constraints in firms. Further, differing from the existing literature on the determinants of SDGs, we explore the supportive role of SDG performance on firm financial performance and show that ESG can better describe SDG performance and alleviate financial constraints. Moreover, both internal and external financial intermediaries improve with enhanced ESG performance in overcoming financial constraints. Our findings strongly indicate that a sustainable development strategy facilitates efficient adaptation to financial challenges and assists in overcoming external shocks.
A new composite climate change vulnerability index

The earth's climate is changing, with global warming attributable to anthropogenic greenhouse gas emissions driven by economic and population growth. Human systems and ecosystems vary in their exposure, mitigation and adaptive capacity, and vulnerability to various forms of climate change. Once mitigation and adaptation efforts have been exhausted, vulnerability remains. Data compiled by the University of Notre Dame covering over 100 nations in 2016 were used to construct a new composite climate change vulnerability index that features endogenously generated weights to aggregate vulnerability indices across six vulnerable sectors. These weights have the potential to inform policy aimed at allocating resources to reduce the cost of limiting vul-nerability. The new composite vulnerability index, whose weights differ across sectors and across nations, is compared with the Notre Dame vulnerability index, which uses weights equal across sectors and constant across nations. Although the two indices agree on the identity of the most vulnerable nations, there is a statistically significant difference between the two indices. In addition, a nonparametric statistical test failed to reject the null hypothesis that one sectoral index could be deleted from the composite index without significant loss of information. This also has potentially important policy implications.
Assessment of city sustainability-Coupling coordinated development among economy, society and environment

The coordination development among various subsystems, especially among economic, social and environmental subsystems, is an important part of urban sustainability that directly affects the quality of urbanization. This paper evaluated the sustainability of the 9 China's national central cities using the coupling coordination model. In the evaluation process, an objective coupling weighting method was developed by the combination of the coupling analysis and the sequential relationship analysis method. The validity of this method was illustrated by comparing the coordination level of the cities with that obtained by the entropy method. Long-term use of this method can guide the coordination development among economy, society and environment of cities. The assessment results indicate that the coordination development among economy, society and environment of the cities was not ideal. Only one city, Beijing, located in the good coordination grade. The main reason is the lower development of economic sustainability. Policy recommendations were provided to address the problem. In addition, the paper concludes that there is a great room for improvement in the coordinated development of the cities, because they showed an increase trend in coordinated development and the economic growth rate was relatively high. (C) 2020 Elsevier Ltd. All rights reserved.
The COVID-19 impact on air condition usage: a shift towards residential energy saving

The enforcement of the Movement Control Order to curtail the spread of COVID-19 has affected home energy consumption, especially HVAC systems. Occupancy detection and estimation have been recognized as key contributors to improving building energy efficiency. Several solutions have been proposed for the past decade to improve the precision performance of occupancy detection and estimation in the building. Environmental sensing is one of the practical solutions to detect and estimate occupants in the building during uncertain behavior. However, the literature reveals that the performance of environmental sensing is relatively poor due to the poor quality of the training dataset used in the model. This study proposed a smart sensing framework that combined camera-based and environmental sensing approaches using supervised learning to gather standard and robust datasets related to indoor occupancy that can be used for cross-validation of different machine learning algorithms in formal research. The proposed solution is tested in the living room with a prototype system integrated with various sensors using a random forest regressor, although other techniques could be easily integrated within the proposed framework. The primary implication of this study is to predict the room occupation through the use of sensors providing inputs into a model to lower energy consumption. The results indicate that the proposed solution can obtain data, process, and predict occupant presence and number with 99.3% accuracy. Additionally, to demonstrate the impact of occupant number in energy saving, one room with two zones is modeled each zone with air condition with different thermostat controller. The first zone uses IoFClime and the second zone uses modified IoFClime using a design-builder. The simulation is conducted using EnergyPlus software with the random simulation of 10 occupants and local climate data under three scenarios. The Fanger model's thermal comfort analysis shows that up to 50% and 25% energy can be saved under the first and third scenarios.
Sustained Ranavirus Outbreak Causes Mass Mortality and Morbidity of Imperiled Amphibians in Florida

A persistent 2-month long outbreak of Ranavirus in a natural community of amphibians contributed to a mass die-off of gopher frog tadpoles (Lithobates capito) and severe disease in striped newts (Notophthalmus perstriatus) in Florida. Ongoing mortality in L. capito and disease signs in N. perstriatus continued for 5 weeks after the first observation. Hemorrhagic disease and necrosis were diagnosed from pathological examination of L. capito tadpoles. We confirmed detection of a frog virus 3 (FV3)-like Ranavirus via quantitative PCR in all species. Our findings highlight the susceptibility of these species to Rv and the need for long-term disease surveillance during epizootics.
The assessment of forest ecological security and its determining indicators: A case study of the Yangtze River Economic Belt in China

This study put forward an evaluation index system for measuring forest ecological security index (FESI). Taking the 1086 counties located in the Yangtze River Economic Belt as a case study, we investigated the change and its spatial pattern of FESI, as well as the determining indicators (both natural and socio-economic), with the support of Arcmap and GeoDA software. The average FESI value of the study counties in 2010 and 2015 was found to be 0.4226 and 0.4990, increased by 18.08%. Spatially, an evident spatial gradient change was identified, with FESI values in the upstream areas of the Yangtze River being higher than those in midstream areas, and the values of midstream areas in turn being higher than those in downstream areas. The eight tributary basins within the economic belt witnessed significantly different FESI values. Based on the results of this evaluation of FESI and its sub-evaluation indexes, we identified 46.04% of the total counties as constituting "problem areas". These problem areas were mainly concentrated in Shanghai, Jiangsu and Anhui provinces, followed by counties around Dongting Lake, Poyang Lake and in Sichuan province. A regression analysis was conducted in order to identify the determining indicators behind forest ecological security, with results indicating that the ratio of secondary industry, the urbanization rate, the per capita financial institution loan balance, accumulated temperature and wind speed all negatively impacted on FESI values, while population structure, soil organic matter and rainfall were revealed to play a positive role; all of these indicators were highly significant. Given these findings, we also set out a series of policy measures intended to promote the sustainable forest development of the study region. These include the vigorous development of tertiary industry and moves to reduce the proportion of the secondary industry in the national economy, the development of a circular economy, slowing the pace of urbanization, and continued increases in forestry investment in central cities particularly in problem areas.
Knee symptoms do not affect walking biomechanics among women 6 months after anterior cruciate ligament reconstruction

Women with anterior cruciate ligament reconstruction report worse pain and knee-related symptoms, and also exhibit biomechanical changes that may be related to knee osteoarthritis (OA) development. This is particularly concerning as symptom state has been previously associated with knee OA development. The purpose of this study was to compare lower extremity walking biomechanics between women (age: 21.40 ± 8.54 years) experiencing clinically significant knee-related symptoms and women with acceptable symptoms 6 months following surgery. Twenty-eight women with history of primary, unilateral anterior cruciate ligament reconstruction who completed a lower extremity walking biomechanics assessment 6 months following surgery were included in this analysis. Women were dichotomized as experiencing acceptable or clinically significant knee symptoms according to Knee injury and OA Outcomes Score cut-offs described by Englund et al. Walking biomechanics were compared between women with clinically significant and acceptable symptoms using one-way analysis of covariances for involved limb biomechanics. Biomechanical variables of interest were: peak vertical ground reaction forces (vGRFs), vGRF loading rates, knee flexion angles, knee extension moments, knee adduction angles, and knee adduction moments, and gait speed. Nearly 60% of women reported clinically significant knee symptoms 6 months postoperative. There were no statistically significant differences between symptom groups for walking biomechanics and gait speed outcomes. These findings suggest patient reported knee symptoms may not be a primary influence on walking biomechanics 6 months following anterior cruciate ligament reconstruction. Though, longitudinal assessment of changes in symptom state and walking biomechanics may be warranted as poorer walking biomechanics and symptoms are indicators of knee OA.
Driving factors of total carbon emissions from the construction industry in Jiangsu Province, China

Global warming caused by greenhouse gases (GHG) emissions has become a paramount problem for all countries to solve. The construction industry emits 36 percent of the GHG in all sectors globally. China is the largest carbon emitter in the world, and Jiangsu province has been used as a test bed for reforming and developing modern construction industry in China. The aim of the study is to explore the driving factors of the total carbon emissions from the construction industry (CECI) in the provincial region using a hybrid Logarithmic Mean Divisia Index (LMDI) model. The findings of the study indicate that: 1) Indirect and operational CECI account for the largest proportion (52.22% and 46.02% in 2016 respectively); 2) The driving factors of CECI in Jiangsu province are the area factor (contribution from 2005 to 2016 is 100.22%) and the output value intensity factor (86.56%) while the restraining factor is the carbon emission intensity (-80.35%). Discussion and implicated policies, such as improving the energy efficiency of related industries and using green building materials have been elaborated at the end of the study. The decomposition and calculation method presented in this paper provides a useful tool for policymakers to evaluate CECI of a province or state and formulate appropriate carbon policies to reduce emissions and promote low-carbon development in a region. (C) 2020 Elsevier Ltd. All rights reserved.
Status, characterization, and potential utilization of municipal solid waste as renewable energy source: Lahore case study in Pakistan

With rapid increases in population and urbanization, uncontrolled municipal solid waste (MSW) is a threat to public health and environmental safety. In this study, we explore its generation, treatment, and characteristics of physical/chemical composition and assess the potential of MSW as a renewable energy source in Lahore, the second largest city in Pakistan. Based on the average generation rate of MSW (i.e., 0.65 kg/capita/day), the daily production of MSW in this city would reach 7150 tons/day. However, its disposal in a safely engineered way has been restricted due to the lack of: (a) pre-planning, (b) infrastructure, (c) political will, and (d) public awareness. Various samples of MSW considering socio-economic structure were collected. The physical components of MSW in Lahore were found to be in the descending order of biodegradable, nylon plastic bags, textile, diaper, and paper. The inductively coupled plasma optical emission spectroscopy (ICP-OES) technique was used to determine the heavy metal content and leachability of the MSW components to check for the environmental contamination risk. The proximate and ultimate analysis of this MSW was also carried out along with its heating values. The average high heating value of MSW was measured as 14,490 kJ kg(-1). Energy recovery potential of 48MW was assessed further from 2000 tons of MSW/day. The results of this study should be helpful for policy makers to establish a MSW management strategy for the potential renewable energy alternative.
Dipterisshenzhenensis, a new endangered species of Dipteridaceae from Shenzhen, southern China

Dipterisshenzhenensis, a new species of ferns from Shenzhen, Guangdong, southern China, is identified and described. It closely resembles D.chinensis but possesses several unique traits, such as long rhizome scales, castaneous stipe, and abaxially pale fronds with two fan-shaped fronds connected by a broad wing. Molecular evidence showed that D.shenzhenensis is allied to D.conjugata, whereas it has morphologically significant differences (P < 0.05) on the basis of quantitative trait statistical analysis. Overall, the morphological evidence, taken together with the result of cpDNA indicated that D.shenzhenensis is a distinct species.