ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
Purpose Trajectories During Middle Adolescence: The Roles of Family, Teacher, and Peer Support

While studies on youth's purpose have flourished in the last two decades, the work was mostly cross-sectional and derived from Western settings. This research examined the developmental trajectories of purpose exploration and commitment of Taiwanese youth during middle adolescence, with a focus on how they associate with youth's psychological functioning in terms of life satisfaction and depressive symptoms and whether social support moderates such development. A total of 369 vocational high school students in Taiwan (45% females; Mage = 15.82 years) participated in a four-wave study spanning two years with a one-semester interval. The results of piecewise growth curve modeling in the context of structural equation modeling suggested that purpose commitment increased over 10th grade, decreased initially in 11th grade, and then continued to increase. Purpose exploration similarly increased over 10th grade, but after the initial 11th grade dip remained stable. In addition to the higher initial levels, the steeper the rate of purpose exploration and commitment ascent and the slighter the rate of reduction predicted enhanced youth life satisfaction. The trajectory of purpose commitment also predicted reduced depressive symptoms, but such effects did not occur for purpose exploration. Moreover, multi-group analyses revealed that the more family, teacher, and peer support youth perceived, the more likely youth explored and committed to purpose over time.
Mapping Annual Land Disturbance and Reclamation in a Surface Coal Mining Region Using Google Earth Engine and the LandTrendr Algorithm: A Case Study of the Shengli Coalfield in Inner Mongolia, China

The development and utilization of mining resources are basic requirements for social and economic development. Both open-pit mining and underground mining have impacts on land, ecology, and the environment. Of these, open-pit mining is considered to have the greatest impact due to the drastic changes wrought on the original landform and the disturbance to vegetation. As awareness of environmental protection has grown, land reclamation has been included in the mining process. In this study, we used the Shengli Coalfield in the eastern steppe region of Inner Mongolia to demonstrate a mining and reclamation monitoring process. We combined the Google Earth Engine platform with time series Landsat images and the LandTrendr algorithm to identify and monitor mining disturbances to grassland and land reclamation in open-pit mining areas of the coalfield between 2003 and 2019. Pixel-based trajectories were used to reconstruct the temporal evolution of vegetation, and sequential Landsat archive data were used to achieve accurate measures of disturbances to vegetation. The results show that: (1) the proposed method can be used to determine the years in which vegetation disturbance and recovery occurred with accuracies of 86.53% and 78.57%, respectively; (2) mining in the Shengli mining area resulted in the conversion of 89.98 km(2) of land from grassland, water, etc., to barren earth, and only 23.54 km(2) was reclaimed, for a reclamation rate of 26.16%; and (3) the method proposed in this paper can achieve fast, efficient identification of surface mining land disturbances and reclamation, and has the potential to be applied to other similar areas.
Assessing and predicting changes in ecosystem service values based on land use/cover change in the Bohai Rim coastal zone

Land use/cover change (LUCC) in the Bohai Rim coastal zone has accelerated as a result of rampant economic development, which has directly caused many negative effects on ecosystem functions and services. Based on multi-temporal land use data (2000, 2005, 2010 and 2015), the benefit transfer method was used to assess the ecosystem service value (ESV) of the Bohai Rim coastal zone, and the impact of LUCC on ecosystem services was studied. Multi-scenario simulations for 2025 were conducted using the future land use simulation model. The result of the analysis showed that during the period from 2000 to 2015, the total ESV lost was 22.09 billion yuan, representing a decrease of 3.80%. The spatial distribution of the ESV showed a certain regularity, with obvious characteristics of a land-sea gradient change. As the distance from the coastline increased, the ESV per unit area gradually declined. Compared with those in 2015, the total ESVs of the socio-economic development scenario and the business-as-usual scenario in 2025 showed a declining trend, while they increased under the ecological protection priority scenario. Under the ecological protection priority scenario, regulating services and support services increased significantly, but those declined dramatically under the socio-economic development scenario. The patterns of LUCC are the main reasons for the decrease in ESV. This research provides a theoretical basis and support for the development and utilization of coastal space and the improvement of "ecologicaleconomic-social" benefits; additionally, the results provide support for scientific decision-making services for the sustainable use of resources in the coastal zone and for the sustainable management of ecosystems.
Correlative all-optical quantification of mass density and mechanics of subcellular compartments with fluorescence specificity

Quantitative measurements of physical parameters become increasingly important for understanding biological processes. Brillouin microscopy (BM) has recently emerged as one technique providing the 3D distribution of viscoelastic properties inside biological samples - so far relying on the implicit assumption that refractive index (RI) and density can be neglected. Here, we present a novel method (FOB microscopy) combining BM with optical diffraction tomography and epifluorescence imaging for explicitly measuring the Brillouin shift, RI, and absolute density with specificity to fluorescently labeled structures. We show that neglecting the RI and density might lead to erroneous conclusions. Investigating the nucleoplasm of wild-type HeLa cells, we find that it has lower density but higher longitudinal modulus than the cytoplasm. Thus, the longitudinal modulus is not merely sensitive to the water content of the sample - a postulate vividly discussed in the field. We demonstrate the further utility of FOB on various biological systems including adipocytes and intracellular membraneless compartments. FOB microscopy can provide unexpected scientific discoveries and shed quantitative light on processes such as phase separation and transition inside living cells.
The adoption of self-driving delivery robots in last mile logistics

Covid-19, the global pandemic, has taught us the importance of contactless delivery service and robotic automation. Using self-driving delivery robots can provide flexibility for on-time deliveries and help better protect both driver and customers by minimizing contact. To this end, this paper introduces a new vehicle routing problem with time windows and delivery robots (VRPTWDR). With the help of delivery robots, considerable operational time savings can be achieved by dispatching robots to serve nearby customers while a driver is also serving a customer. We provide a mathematical model for the VRPTWDR and investigate the challenges and benefits of using delivery robots as assistants for city logistics. A two-stage matheurisitic algorithm is developed to solve medium scale VRPTWDR instances. Finally, results of computational experiments demonstrate the value of self-driving delivery robots in urban areas by highlighting operational limitations on route planning.
A Review of Further Directions for Artificial Intelligence, Machine Learning, and Deep Learning in Smart Logistics

Industry 4.0 concepts and technologies ensure the ongoing development of micro- and macro-economic entities by focusing on the principles of interconnectivity, digitalization, and automation. In this context, artificial intelligence is seen as one of the major enablers for Smart Logistics and Smart Production initiatives. This paper systematically analyzes the scientific literature on artificial intelligence, machine learning, and deep learning in the context of Smart Logistics management in industrial enterprises. Furthermore, based on the results of the systematic literature review, the authors present a conceptual framework, which provides fruitful implications based on recent research findings and insights to be used for directing and starting future research initiatives in the field of artificial intelligence (AI), machine learning (ML), and deep learning (DL) in Smart Logistics.
Fiber connectivity density mapping in end-stage renal disease patients: a preliminary study

Abnormal brain structural connectivity of end-stage renal disease(ESRD) is associated with cognitive impairment. However, the characteristics of cortical structural connectivity have not been investigated in ESRD patients. Here, we study structural connectivity of the entire cerebral cortex using a fiber connectivity density(FiCD) mapping method derived from diffusion tensor imaging(DTI) data of 25 ESRD patients and 20 healthy controls, and between-group differences were compared in a vertexwise manner. We also investigated the associations between these abnormal cortical connectivities and the clinical variables using Pearson correlation analysis and multifactor linear regression analysis. Our results demonstrated that the mean global FiCD value was significantly decreased in ESRD patients. Notably, FiCD values were significantly changed(decreased or increased) in certain cortical regions, which mainly involved the bilateral dorsolateral prefrontal cortex(DLPFC), inferior parietal cortex, lateral temporal cortex and middle occipital cortex. In ESRD patients, we found a trend of negative correlation between the increased FiCD values of bilateral middle frontal gyrus and serum creatinine, urea, parathyroid hormone(PTH) levels and dialysis duration. Only the white matter hyperintensity(WMH) scores were significantly negatively correlated with the global FiCD value in multifactor regression analysis. Our results suggested that ESRD patients exhibited extensive impaired cortical structural connectivity, which was related to the severity of WMHs. A compensation mechanism of cortical structural recombination may play a role in how the brain adapts to maintain optimal network function. Additionally, the serum creatinine, urea and PTH levels may be risk factors for brain structural network decompensation in ESRD patients.
A new framework of industrialized construction in China: Towards on-site industrialization

Many countries and regions consider industrialized construction to be a cleaner production method that facilitates sustainability in the construction industry. In China, proponents of industrialized construction have paid more attention to environmental and social sustainability, but the obstacles to economic sustainability have not been well solved. This study proposes a new industrialized construction method, OSI (On-site Industrialization). OSI combines the advantages of prefabrication and cast-in-situ. To develop and validate the OSI framework, this study conducts a two-phase action research. Based on the holistic overview of industrialized construction, the OSI framework was developed in action research phase 1. This framework includes five basic industrialized principles-standardization, prefabrication, modularization, lean, and sustainability. A multiple-case study was conducted in action research phase 2 to evaluate the sustainability performance of OSI from the perspective of triple-bottom-line (TBL), and the conventional precast concrete construction was used for benchmarking to validate the OSI framework. The findings indicate that OSI is a feasible industrialized construction method to balance the three dimensions of TBL in the Chinese construction industry. This research extends the theoretical knowledge body of industrialized construction while solving some practical problems in the construction industry. (C) 2019 Elsevier Ltd. All rights reserved.
Cocaine trafficking from non-traditional ports: examining the cases of Argentina, Chile and Uruguay

This article presents the results of an exploratory study aimed to analyze the contexts in which the use of Non-Traditional ports of cocaine departure and counter-intuitive routes is prioritized, based on the experience of Argentina, Chile, and Uruguay. Moreover, we show that criminal organizations prioritize the Ports of Buenos Aires, San Antonio and Montevideo, and the counter-intuitive routes that lead to them, because they are spaces that generate incentives linked to the porosity of borders, the lack of control at the ports, and the possibility of exploiting the country's lack of reputation for drug exportation to re-export cocaine undetected. This study constitutes a precedent for future research on the role of South American Southern Cone ports in cocaine trafficking. We can identify at least four emerging lines of research: 1. Cocaine trafficking from landlocked countries; 2. The role of the waterway Paraná-Paraguay; 3. The link between Non-Traditional ports of cocaine departure and new markets; and 4. Other Non-Traditional Ports of cocaine departure, which are not containerized.
A Global Review of Causes of Morbidity and Mortality in Free-Living Vultures

Vulture species worldwide play a key role in ecosystems as obligate scavengers, and several populations have had precipitous declines. Research on vulture health is critical to conservation efforts including free-living vultures and captive breeding programs, but is limited to date. In this systematic review, we determined the reported causes of free-living vulture species morbidity and mortality worldwide. The most commonly reported cause of mortality was from toxins (60%), especially lead and pesticides, followed by traumatic injury (49%), including collisions with urban infrastructure and gunshot. Neglected areas of research in free-living vulture health include infectious diseases (16%), endocrine and nutritional disorders (6%), and neoplasia (< 1%). Almost half of the studies included in the review were conducted in either Spain or the USA, with a paucity of studies conducted in South America and sub-Saharan Africa. The highest number of studies was on Griffon (Gyps fulvus) (24%) and Egyptian vultures (Neophron percnopterus) (19%), while half of all vulture species had five or fewer studies. Future investigations on free-living vulture health should focus on neglected areas of research, such as infectious diseases, and areas with gaps in the current literature, such as South America, sub-Saharan Africa, and under-studied vulture species.
Vertical integration in the Australian community care setting: Can it work? A theoretical review of current literature

Vertical integration (VI) is considered a strategic management plan whereby an organisation has ownership of its supply chain. It is utilised as a method for managing the economic needs and approaches of an organisation and ensuring that a product is readily available for use. From a healthcare perspective, this pertains to the coordination of services or levels of care and allows for adaptation to changing circumstances. This study reviews existing literature on VI in a healthcare setting to assess feasibility and effectiveness of this proposed solution. A theoretical literature review was performed utilising conceptual categorisation to understand how VI may benefit community care organisations, using the needs of a local organisation as an example. Seventeen articles were included from a range of databases and grey literature with findings categorised according to two research questions. The findings suggest that for VI to be effective and efficient it is important to consider the following themes: market failure, barriers to entry, productive capabilities and specific healthcare issues. In conclusion, from a management and economic perspective, when markets are not functioning efficiently and are in disequilibrium, VI may provide an appropriate avenue to address these problems, in particular for community care organisations.
The role of tourism development on CO2 emission reduction in an extended version of the environmental Kuznets curve: evidence from top 50 tourist destination countries

This study empirically investigates the role of tourism development in an extended version of the environmental Kuznets curve (EKC) for the top 50 tourist destination countries. Panel data on annual basis that range from 1996 to 2016 have been used by employing CADF, CIPS and PANKPSS unit root tests, DSUR cointegrating test as well as DH panel dynamic causality test. The results explain that tourism development exerts significant long-term effects on the extended version of EKC, whereas carbon emission levels significantly move over years through tourism development. Our findings also indicate that tourism development has positive effects on the level of CO2 emissions in the case of Turkey, Thailand, Russia, Greece, Saudi Arabia, Macao, Indonesia, Brazil, Dominica, Philippines, Bulgaria, Tunisia, Egypt, Iran, Georgia, Hong Kong, India and Malaysia. This result suggests that these countries should not use traditional fuel oil consumption methods, and such methods need to be abandoned for reduction in carbon dioxide in terms of environmental quality and sustainability.
Singapore Neonatal Resuscitation Guidelines 2021

Neonatal resuscitation is a coordinated, team-based series of timed sequential steps that focuses on a transitional physiology to improve perinatal and neonatal outcomes. The practice of neonatal resuscitation has evolved over time and continues to be shaped by emerging evidence as well as key opinions. We present the revised Neonatal Resuscitation Guidelines for Singapore 2021. The recommendations from the International Liaison Committee on Resuscitation Neonatal Task Force Consensus on Science and Treatment Recommendations (2020) and guidelines from the American Heart Association and European Resuscitation Council were compared with existing guidelines. The recommendations of the Neonatal Subgroup of the Singapore Resuscitation and First Aid Council were derived after the work group discussed and appraised the current available evidence and their applicability to local clinical practice.
Estimating individual mtDNA haplotypes in mixed DNA samples by combining MinION and MiSeq

We tried to estimate individual mtDNA haplotypes in mixed DNA samples by combining MinION and MiSeq. The BAM files produced by MiSeq were viewed using Integrative Genomics Viewer (IGV) to verify mixed bases. By sorting the reads according to base type for each mixed base, partial haplotypes were determined. Then, the BAM files produced by MinKNOW were viewed using IGV. To determine haplotypes with IGV, only mixed bases determined by MiSeq were used as target bases. By sorting the reads according to base type for each target base, each contributor's haplotype was estimated. In mixed samples from two contributors, even a haplotype with a minor contribution of 5% could be distinguished from the haplotype of the major contributor. In mixed samples of three contributors (mixture ratios of 1:1:1 and 4:2:1), each haplotype could also be distinguished. Sequences of C-stretches were determined very inaccurately in the MinION analysis. Although the analysis method was simple, each haplotype was correctly detected in all mixed samples with two or three contributors in various mixture ratios by combining MinION and MiSeq. This should be useful for identifying contributors to mixed samples.
Day-ahead stochastic scheduling of integrated multi-energy system for flexibility synergy and uncertainty balancing

Secure operation of the power system is challenged by the high level of uncertainty and fluctuation introduced by renewable energy sources. More flexibility is needed to cope with the uncertainty and improve the utilization of renewable energy. A prominent solution to provide flexibility, and simultaneously increase the efficiency of the system, is the integration of different energy sectors. This paper proposes a two-stage stochastic scheduling scheme of an integrated multi-energy system, which considers the wind power uncertainty and the synergy of different energy sectors to achieve the optimal economic operation of the whole system with minimum curtailment of wind power. In the first stage, energy and reserve scheduling of generating units is performed, while accommodation of wind power production is realized through reserves in the second stage. In the proposed scheme, the electric power system, natural gas system, and district heating system are coordinated to achieve more flexibility, both in the day-ahead and real-time stage. The stochasticity of the wind power uncertainty is represented by realistic scenarios with corresponding probabilities, which are obtained from a scenario generation algorithm based on historical observations taking into account the temporal correlation of wind power. The simulation results on a small-scale test system show that both, the economic efficiency and wind power utilization, have been improved with more flexibility and more reliable scenario set. It is shown, that the total system cost is reduced and reserves are optimized. (C) 2020 Elsevier Ltd. All rights reserved.
The role of plants in the formation of species-specific features in grass flies (Diptera, Chloropidae, Meromyza)

In the current manuscript, we present the results of comparative analysis of seven species of Meromyza flies in the "variegata" cluster and of the evolutionary close species M.inornata, based the following criteria: 1) 14 external key features; 2) shape and area of the anterior processes of postgonites; 3) mtDNA CO1 region and 4) host plant diversity data. We could demonstrate the primary role of host plants in species formation inside genus Meromyza and calculated the timing of the divergence of M.inornata and the species of "variegata" cluster. Based on our estimates of evolution rate for mtDNA CO1 gene, we could conclude that that divergence of herbs happened before the speciation of grass flies Meromyza. Meromyza species, close to the ancestral species of the cluster, are adapted to the wide range of host plants. We revealed the most informative variables h1, S and Plant analysing data with the following statistical methods: linear discriminant analysis - LDA, regularised discriminant analysis - RDA, flexible discriminant analysis - FDA and probabilistic neural network - PNN. The highest classification accuracy was achieved using PNN (99%) and the lowest when using LDA (95.8%). When the Plant trait was excluded, the classification accuracy decreased by 14%. We revealed the significant trends in size change of the anterior process of the postgonite amongst studies species. This morphological structure is an element of male reproductive apparatus critical for the restriction of interspecies mating. We determined three branches of speciation in the "variegata" cluster and five trends in the evolution of this cluster, based on the external morphological features. We showed that M.variegata and especially M.mosquensis, the species closest to the ancestral haplotype, have the largest number of features typical of those of M.inornata. Based on the external features and the area of the anterior process of the postgonite, we reconstructed the phylogenetic position of M.elbergi in the cluster. In accordance with the obtained outcomes, we could conclude that the distribution, species diversity and the adaptation of the grass flies to narrow oligophagy were directly connected to host plant diversity. The adaptation to different host plants could be the main factor in divergence of grass flies and their evolution started later than the diversification in the Pooideae subfamily of grasses.