ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
The effect of emission trading policy on carbon emission reduction: Evidence from an integrated study of pilot regions in China

Carbon trading systems are increasingly used by many countries nowadays to reduce carbon emission and improve the quality of environment. To evaluate the effect of emission trading system on carbon emission reduction, this study applies a robust econometric method difference-in-difference estimation on city-level panel data in China from 2004 to 2015. The findings of this study indicate that the emission trading policy adopted in pilot regions has reduced carbon emission by approximately 16.2% and such effect is particularly prominent in eastern areas of China where the economy is more developed. Moreover, other factors such as the development of the second industry and foreign direct investment are also found to affect carbon emission. The results of this study provide evidence for the success of the emission trading system in reducing carbon emission across pilot cities and suggest that an expanded scope of carbon trading mechanism adopted in China would further control the carbon emission. Meanwhile, a multi-level emission trading system from central to local government needs to be built using a variety of market-based instruments to promote the equal development of carbon trading market in various regions with different economic development levels.
Neural-network-based optimization for economic dispatch of combined heat and power systems

One of the major research areas in combined heat and power (CHP) systems is optimal dispatch, which involves the minimization of the operating cost. In economic dispatch, it is important to use a model that accurately simulates the performance of the power and heat generation equipment. However, physics-based characteristic models require considerable time for the analysis, so it is hard to apply them to the optimization of dispatch schedules. This study introduced a neural network model, which was built based upon the simulation results of a physics-based model, to optimize a CHP system. The novel method was used to optimize the operation schedule of a system consisting of a gas turbine, steam turbine bottoming cycle, compressed air energy storage, and a boiler. The schedule was optimized to minimize the operation cost per day and according to the power and heating demand of users. The results showed that the introduction of the neural network reduced the time required for the system analysis by more than 7000 times. Furthermore, the optimization results confirmed the importance of accurately predicting the performance of each device using the physics-based model. This study contributes to the reduction in computation time and improvement of optimization accuracy.
Sleep and circadian rhythms in Parkinson's disease and preclinical models

The use of animals as models of human physiology is, and has been for many years, an indispensable tool for understanding the mechanisms of human disease. In Parkinson's disease, various mouse models form the cornerstone of these investigations. Early models were developed to reflect the traditional histological features and motor symptoms of Parkinson's disease. However, it is important that models accurately encompass important facets of the disease to allow for comprehensive mechanistic understanding and translational significance. Circadian rhythm and sleep issues are tightly correlated to Parkinson's disease, and often arise prior to the presentation of typical motor deficits. It is essential that models used to understand Parkinson's disease reflect these dysfunctions in circadian rhythms and sleep, both to facilitate investigations into mechanistic interplay between sleep and disease, and to assist in the development of circadian rhythm-facing therapeutic treatments. This review describes the extent to which various genetically- and neurotoxically-induced murine models of Parkinson's reflect the sleep and circadian abnormalities of Parkinson's disease observed in the clinic.
Comparison of safety outcomes between bi-coronal and direct approaches for device removal in patients treated with distraction osteogenesis for craniosynostosis

The study aimed at comparing the safety outcomes between conventional bicoronal and direct method in device removal after cranial distraction in the treatment of craniosynostosis. This was a retrospective cohort study of patients treated with distraction osteogenesis to expand intracranial volume in the anteroposterior direction. Preoperative patient demographics, distraction protocols, and perioperative outcomes (operative time, estimated blood loss, intraoperative fluid volume, lowest hematocrit during surgery, transfusion, hospital stay, drain, postoperative complication) were collected and analyzed with the independent samples t-test. Twenty-four patients were included in the study (15 in the conventional and 9 in the direct approach group). The mean duration of surgery and intraoperative fluid volume were significantly shorter (114.56 ± 36.91 min vs. 177.20 ± 47.00 min, p = 0.003) and less (241.88 ± 194.07 ml vs. 624.00 ± 524.92 ml, p = 0.026), respectively in the direct group than in the conventional. No patients were transfused intraoperatively and admitted to the intensive care unit (ICU) postoperatively in the direct group. The mean intraoperative and total transfusion volumes were significantly greater in the conventional group (p = 0.004, 0.045, respectively). There were no significant differences in other safety outcomes. No postoperative wound complications were reported. The findings of this study indicated that the direct approach for distraction device removal in children with craniosynostosis appears to be safer than the conventional approach owing to the reduced operation time, intraoperative transfusion requirements, and ICU stay.
Trophoblast emboli in the lung of a snowshoe hare ( Lepus americanus)

Spontaneous migration of placental trophoblasts into maternal blood vessels and embolization to other organs (ie, lung, adrenal gland, spleen, and liver) occurs in women and certain animals with hemochorial placentation. Although considered incidental in most species, increased incidence and numbers of trophoblast emboli are reported in women with gestational diseases with arterial hypertension (pre-eclampsia and eclampsia). To the best of our knowledge, trophoblast emboli have not been reported in lagomorphs. This case report describes the identification of trophoblast emboli in the lung of a wild snowshoe hare (Lepus americanus). Death of this hare was attributed to pulmonary hemorrhages and hemothorax, but a definitive cause for the hemorrhages was not determined. It is unclear whether trophoblast embolism normally occurs in this species and represents an incidental finding, or whether it possibly contributed to rupture of pulmonary or thoracic blood vessels leading to hemorrhage.
High-resolution ultrasound in the diagnosis of failed carpal tunnel decompression: a study of 35 cases

We used high-resolution ultrasound to examine 35 median nerves (35 patients) with failed carpal tunnel decompression to identify the cause of failure. The carpal tunnel was examined before revision surgery, and the results were correlated with surgical findings. The cross-sectional area was measured, and nerve morphology was analysed at the sites of compression. We found persistent median nerve compression in 30 out of 35 patients. In 20 patients, the compression was caused by a residual transverse carpal ligament, in four by perineural fibrosis, in five by both of these causes and in one by tenosynovitis. In four patients, evidence of median nerve injury with an epineural/fascicular lesion was detected; and in one, no abnormalities were found. Surgical findings were consistent with the ultrasound findings except in one patient where tenosynovitis was associated with a giant cell tumour, which was missed by ultrasound. High-resolution ultrasound can provide helpful information in preoperative diagnosis of failed carpal tunnel decompression with good correlation between the ultrasound and surgical findings.Level of evidence: IV.
Preschool-children's height, trend, and causes: Japanese national surveys 1990-2010

We observed trends in the height of children aged 3 to 6 in Japan using data from the National Growth Survey on Preschool Children in the years 1990, 2000, and 2010. Average standard deviation (SD) scores of height decreased from 0.39 (SD 1.02) in 1990 (n = 3,684) to 0.37 (SD 1.05) in 2000 (n = 2,981) and 0.33 (SD 1.07) in 2010 (n = 2,027). Mothers of children in later waves were taller, older, and more likely to be primiparous; children in later waves had shorter gestational age, lower birth weight, and were less likely to have been fed less with formula or solid foods before 6 mo. The only factor that consistently contributed to a reduction in children's height for both 1990-2000 and 2000-2010 was a reduction in birthweight SD score (indirect effect on height -1.5 [95% CI: -1.9, -1.1] mm for 1990-2000 and -1.2 [95% CI: -1.8, -0.8] mm for 2000-2010). Factors that contributed, although not significantly or consistently between the two periods, were changes in pre-pregnancy BMI, smoking during pregnancy, multiple pregnancies, gestational age, BMI at birth, and use of formula and solid foods before 6 mo. Secular increases in maternal age, height, and primiparity contributed to increasing children's height.
Flavoring and extending the shelf life of cucumber juice with aroma compounds-rich herbal extracts at 4 °C through controlling chemical and microbial fluctuations

This work aims to enhance the flavor of functional cucumber juice using herbal extracts of peppermint, basil, lavender, and lemongrass ethanolic extracts and extend its lifetime by controlling the chemical and microbial fluctuations. Cucumber juices were processed as; non-supplemented (J-Con), J-PME, J-BE, J-LE, and J-LEE supplemented with peppermint, basil, lavender, and lemongrass ethanolic extracts, respectively. Peppermint extract was significantly scavenged 88% of DPPH radicals and inhibited the growth of tested gram-positive, gram-negative bacteria and fungi followed by the lemongrass extract. The antioxidant activity of cucumber juices increased due to polyphenols and aroma compounds in the added extracts. However, the antioxidant content was decreased after two months of storage at 4 °C, due to the decrease in polyphenols. The flavor compounds were determined using GC mass, wherein hydrocarbons, acids, alcohols, and carbonyl compounds were the main aroma contents in cucumber juices, and their contents decreased with storage time. Peppermint and lemongrass extracts were significantly (p ≤ 0.05) increased the whiteness of J-PME, and J-LEE, respectively. The highest score of flavor and taste was observed in J-PME that scored 8.3 based on panelists' reports followed by J-LEE. The PME was significantly maintained 91% of the odor and color of J-PME as compared to other juices.
Are animates special? Exploring the effects of selective attention and animacy on visual statistical learning

Our visual system is built to extract regularities in how objects in our visual environment appear in relation to each other across time and space ("visual statistical learning"). Existing research indicates that visual statistical learning is modulated by selective attention. Our attentional system prioritises information that enables adaptive behaviour; for example, animates are prioritised over inanimates (the "animacy advantage"). The present study examined the effects of selective attention and animacy on visual statistical learning in young adults (N = 284). We tested visual statistical learning of attended and unattended information across four animacy conditions: (1) living things that can self-initiate movement (animals); (2) living things that cannot self-initiate movement (fruits and vegetables); (3) non-living things that can generate movement (vehicles); and (4) non-living things that cannot generate movement (tools and kitchen utensils). We implemented a 4-point confidence rating scale as an assessment of participants' awareness of the regularities in the visual statistical learning task. There were four key findings. First, selective attention plays a critical role by modulating visual statistical learning. Second, animacy does not play a special role in visual statistical learning. Third, visual statistical learning of attended information cannot be exclusively accounted for by unconscious knowledge. Fourth, performance on the visual statistical learning task is associated with the proportion of stimuli that were named or labelled. Our findings support the notion that visual statistical learning is a powerful mechanism by which our visual system resolves an abundance of sensory input over time.
The impact of COVID-19 on the delivery of care by Australian primary health care nurses

This qualitative study describes the impact of the first wave of the COVID-19 pandemic on the provision of care by Australian primary health care (PHC) nurses. Participants were purposefully recruited following completion of a national survey about PHC nurses' experiences during the pandemic. Twenty-five semi-structured interviews were conducted by two experienced researchers and professionally transcribed. The mean duration of interviews was 38.5 min. Thematic analysis revealed three themes about the impact of COVID-19 on PHC nurses' provision of care. These were: workplace adjustments, changes in healthcare delivery and concerns about long-term health impacts of COVID-19. The sudden disruption and de-stabilisation of care delivery was reported as significantly impacting on initial service provision, although participants reported adapting quickly and finding new ways to deliver care. The impact of the pandemic on high risk communities and mental health support needs of clients created additional challenges, although some participants reported positive outcomes such as increased confidence of some clients to provide self-care. There were concerns about the potential long-term health impact on communities due to reduced levels of cancer screening, disrupted management of chronic conditions and reduced opportunistic health assessments. Findings from this study demonstrated how PHC nurses played an important role in the continued provision of PHC by adapting quickly to changed circumstances, adjusting and modifying clinical activities, and by monitoring for future potential negative outcomes from the pandemic. These findings are important for the future management of pandemics and inform the long-term planning of PHC services.
Techno Economic Analysis of Vehicle to Grid (V2G) Integration as Distributed Energy Resources in Indonesia Power System

High penetration of electric vehicles (EVs) leads to high stress on a power grid, especially when the supply cannot cover and actively respond to the unpredictable demand caused by charging EVs. In the Java-Madura-Bali (JAMALI) area, Indonesia, the capability of the grid to balance its supply and demand is very limited, and massive EV charging additionally worsens the condition because of unbalanced load profiles. Ancillary services of EVs have led to the idea of utilizing EV batteries for grid support, owing to their high-speed response to the fluctuating power system. In this study, a techno-economic analysis of the vehicle-to-grid (V2G) system in the JAMALI grid is conducted in terms of the changes in the feed-in tariff schemes, including regular, natural, and demand response tariffs. The results show that by utilizing EVs, the supply during peak hours can be reduced by up to 2.8% (for coal) and 8.8% (for gas). EVs owned by business entities as operating vehicles with a natural tariff show the highest feasibility for ancillary services, and can potentially reduce the cost of charging by up to 60.15%. From a power company perspective, V2G also potentially improves annual revenue by approximately 3.65%, owing to the replacement of the fuel.
Toxicity of TiO2 nanoparticles to the marine microalga Chaetoceros muelleri Lemmermann, 1898 under long-term exposure

Titanium dioxide nanoparticles (TiO2NPs) have been extensively used in industry, raising many concerns about their release into the aquatic environments. In marine ecosystems, microalgae are major primary producers; among them, Chaetoceros muelleri is an important microalga in the aquaculture industry as live feed. The impacts of TiO2NPs on the growth, photosynthetic pigments, protein and lipid contents, and the interaction of TiO2NPs with the cell wall of C. muelleri were investigated in the present study. Algal cells were exposed to concentrations of 5, 10, 50, 100, 200, and 400 mg/L TiO2NPs for 10 days. There was a significant difference in the growth between the control and TiO2NPs treatments on each day. The half-maximal inhibitory concentration (IC50) of TiO2NPs on algal cells was found to be 10.08 and 5.01 mg/L on the 3rd and 10th days, respectively. The contents of chlorophyll a and c reduced significantly in the TiO2NPs-treated microalgae. TiO2NPs also reduced the protein and lipid contents in the treated microalgae, up to 13.02% and 47.6% respectively, at the highest concentration. The interaction of TiO2NPs with the C. muelleri cells was obvious based on Fourier transform infrared spectroscopy, microscopic images, EDS, and Mapping analyses. Toxic effects of the released TiO2NPs can damage the stocks of C. muelleri as an important live feed in mariculture.
Peer and Parental Sources of Influence Regarding Interracial and Same-Race Peer Encounters

This study investigated the socializing influence of peers and parents in interracial encounters by disentangling how children and adolescents consider peer and parent messages when predicting interracial and same-race inclusion. Black and White children (9-14 years old, N = 246) predicted the likelihood of interracial and same-race peer inclusion and provided justifications for their expectations when peer and parent sources of influence were present. Results revealed that, while participants predicted that inclusion would be less likely when parent sources of influence were present than when peer sources of influence were present, the racial composition of the encounter and the race of the participant mattered only in contexts with peer sources of influence. Participants' reasoning about the benefits of inclusion and social pressure also differed when parent or peer sources were present. This study informs future research and efforts designed to improve the quality of interracial peer interactions, and for programs designed to promote positive intergroup peer relationships.
The potential for energy saving and carbon emission reduction in China's regional industrial sectors

Rapid economic growth of China's industry has brought many problems. Among them, the problems of energy shortage and environmental pollution have become increasingly serious. The quick development of the big data has brought new challenges and opportunities for environmental management. In this paper, we propose a new data envelopment analysis (DEA) model to analyze the energy and environmental efficiency of industrial sectors from China's 30 provincial-level regions in order to determine the potential and route for energy saving (ES) and carbon emission reduction (CER). The new DEA model not only considers the dynamic data, but also involves the technology heterogeneity and closest targets, which could achieve the potential or provide the route for ES and CER step by step with least effort. The new approach is illustrated by using the regional industrial dataset of China and some implications for ES and CER are proposed. (C) 2019 Elsevier B.V. All rights reserved.
The optimal design and operation strategy of renewable energy-CCHP coupled system applied in five building objects

Combined cooling, heating, and power (CCHP) is an economic and eco-friendly technology to mitigate energy issues with remarkable energy efficiency improvement. This study formulates a mixed integer nonlinear programming (MINLP) model for a combined CCHP system coupled with renewable energy, i.e. RCCHP system, which is applied in five different buildings to evaluate the economic and environmental performance under two optimization modes. Net present value (NPV), internal rate of return (IRR) and dynamic payback period (DPP) are introduced as economic indexes, while CO2 emission reduction rate (CER) is considered as the environmental indicator to determine the optimal combination, capacity, and operation strategies for energy technologies. Results indicate that a combination of electricity purchased at valley period during night with power generated by the combined heating and power (CHP) unit coupled with wind turbine in peak period during daytime is cost-optimal which also enables higher energy efficiency. Meanwhile, the feed-in tariff as well as the uncoordinated electrical and thermal loads both show a significant impact on real-time operation strategies. Compared with the reference separate production (SP) system, the combined system shows better performance when applied to shopping mall under both optimization modes, e.g., with NPV up to 67.65 and 46.61 million RMB, IRR up to 20.70% and 25.10%, and the minimum DPP is 5.49 and 4.82 years under NPV and IRR maximization, respectively. (C) 2019 Elsevier Ltd. All rights reserved.
Stress Dissipation Encoded Silk Fibroin Electrode for the Athlete-Beneficial Silk Bioelectronics

The kinetic body motions have guided the core-shell fabrics of wearable bioelectronics to be elastoplastic. However, the polymeric electrodes follow the trade-off relationship between toughness and stretchability. To this end, the stress dissipation encoded silk fibroin electrode is proposed as the core electrode of wearable bioelectronics. Significantly, the high degree of intrinsic stress dissipation is realized via an amino acid crosslink. The canonical phenolic amino acid (i.e., tyrosine) of silk fibroin is engineered to bridge the secondary structures. A sufficient crosslink network is constructed when tyrosine is exposed near the amorphous strand. The stress dissipative tyrosine crosslink affords 12.5-fold increments of toughness (4.72 to 58.9 MJ m-3 ) and implements the elastoplastic silk fibroin. The harmony of elastoplastic core electrodes with shell fabrics enables the wearable bioelectronics to employ mechanical performance (elastoplasticity of 750 MJ m-3 ) and stable electrical response. The proposed wearable is capable of assisting the effective workouts via triboelectricity. In principle, active mobility with suggested wearables potentially relieves muscular fatigues and severe injuries during daily fitness.
An empirical investigation between CO2 emission, energy consumption, trade liberalization and economic growth: A case of Kuwait

The purpose of the present study is to investigate the link among CO2 emissions, energy consumption, gross domestic product, and trade liberalization as related to Kuwait. The study used annual data, starting from 1971 to 2017, which was obtained from a world development indicator of the World Bank. For the empirical analysis, the study adopted Augmented Dicky Fuller and Phillips-Perron methods to review stationarity among the data sets. Their results explained a mixed trend, some variables followed the I (1) process, and few are I (0). Based on the findings, a well-defined Autoregressive Distributed Lag Model was applied to the data sets and the outcome was in support of the long and short-run relationship between variables. Carbon dioxide and energy consumption accelerate economic growth; an increase in CO2 emission also plays a significant role in increasing energy consumption. Furthermore, the Granger Causality test shows evidence of bi-directional causality existing between CO2 emissions and energy consumption. A unidirectional causality is running from the gross domestic product to CO2 emissions and energy consumption to trade liberalization.