ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
Analytical and pharmacological consequences of the in vivo deamidation of trastuzumab and pertuzumab

A liquid chromatography-tandem mass spectrometry method is presented for the quantitative determination of the in vivo deamidation of the biopharmaceutical proteins trastuzumab and pertuzumab at an asparagine in their complementarity determining regions (CDRs). For each analyte, two surrogate peptides are quantified after tryptic digestion of the entire plasma protein content: one from a stable part of the molecule, representing the total concentration, and one containing the deamidation-sensitive asparagine, corresponding to the remaining non-deamidated concentration. Using a plasma volume of 10 µL and a 2-h digestion at pH 7, concentrations between 2 and 1000 µg/mL can be determined for the various protein forms with values for bias and CV below 15% and without unacceptable in vitro deamidation taking place. A considerable difference between the total and non-deamidated concentrations, and thus a substantial degree of deamidation, was observed in plasma for both trastuzumab and pertuzumab. After a 56-day forced deamidation test 40% of trastuzumab and 68% of pertuzumab was deamidated, while trastuzumab and pertuzumab showed up to 47% and 35% of deamidation, respectively, in samples collected from breast cancer patients during treatment with a combination of both drugs. A good correlation between the non-deamidated concentration results and those of a receptor binding assay indicate a loss of receptor binding for both trastuzumab and pertuzumab along with the deamidation in their CDRs. Deamidated trastuzumab also lost its capability to inhibit the growth of breast cancer cells in a cell-based viability assay, suggesting a relation between the degree of deamidation and pharmacological activity.
Effects of Eco-Innovation on Economic and Environmental Performance: Evidence from Turkey's Manufacturing Companies

The concept of eco-innovation has begun to be considered as a solution to preventing environmental damage, especially since the 1990s. Eco-innovation is expected to reduce amounts of waste, air pollution, and material resource usage. However, the effect of eco-innovation on environmental and financial performance has received limited attention. This paper seeks to fill this gap by studying the effect of eco-innovation on environmental and financial performance. In order to do so, data were obtained by collecting surveys completed by 219 manufacturing companies in Turkey. By using structural equation modeling, we found that eco-innovation has a direct effect on pollution prevention, resource saving and recycling; furthermore, it has an indirect positive effect on cost reduction and thus on economic performance. The findings suggest that decision-makers should adopt eco-innovation due to its cost advantage and pollution prevention potential.
Effect of using mineral admixtures and ceramic wastes as coarse aggregates on properties of ultrahigh-performance concrete

Recent advancements in recycling have transformed nonrenewable resources into partially renewable resources. In line with these advancements, the application of wastes, including ceramics, as substitute aggregate materials for construction has elicited considerable research interest. Ceramic waste aggregates can be used to address complex problems, such as the shortage of materials in construction sites, and reduce environmental wastes. This study aims to investigate the effectiveness of replacing silica fume (SF) and metakaolin (MK) with cement to improve ultrahigh-performance concrete (UHPC) prepared using ceramic wastes as coarse aggregates. Eleven UHPC mixes with 10%, 20% and 30% proportions of either SF or MK were designed. The fresh, physical, mechanical and microstructure properties of these mixes were evaluated, and test results showed that replacing cement with either SF or MK can improve the mechanical and physical properties of UHPC. The use of this waste as construction material will yield substantial technical, economic and environmental benefits, particularly from the perspective of sustainable development. The results showed that replacing SF or MK is effective in improving the strength of UHPC, particularly when the SiO2/CaO ratio was increased to 2.98. The 28-day compressive strength of UHPC with SF increased from 133.1 MPa to 146.6 MPa due to the improved microstructure and denser matrix. (c) 2020 Elsevier Ltd. All rights reserved.
Growth performance, haematological assessment and chemical composition of Nile tilapia, Oreochromis niloticus (Linnaeus, 1758) fed different levels of Aloe vera extract as feed additives in a closed aquaculture system

A 105-day experimental trial was conducted to assess different levels of dietary Aleo vera extract supplementation on water quality parameters, proximate composition, growth performance and haematological parameters of fry Oreochromis niloticus. Four different percentages of dietary leaf extract powder of Aleo vera (ALE) with a basal feed, designated as, i.e., T0 (Control group; without ALE), T1 (1% ALE), T2 (2% ALE), and T3 (3% ALE). Fish fry was reared in concrete tanks (7.0 m, 1.6 m, 1.0: L, W, H; water volume 11.2 m3/tank), with an average initial weight 4.04 ± 0.03 g/ fry, and each treatment was triplicated. Fry was randomly distributed at a stocking rate of 450 individuals/ tanks. The water quality parameters revealed that temperature, pH, salinity, dissolved oxygen (DO) and nitrates were found in a promising range as given by FAO/WHO limits. However, the record values obtained for Electric Conductivity (EC), Total dissolved solids (TDS), and alkalinities were not found in all tanks' suitable range according to FAO/WHO limits. The results revealed a significant impact of different percentages of dietary ALE supplementation on fry's body composition and haematological parameters. Moreover, the final body weight, final body length, average daily weight gain (g), net weight gain (g) and specific growth rate (%) were significantly higher (p < 0.05) in T1 and T2 compared with T0 and T3 treatments. The poorest feed conversion ratio was recorded in the T2 group compared with other treatments. Thus, the current study provides information about the nutritional quality of Nile tilapia culturing in Pakistan.
Stem cell transplantation as a progressing treatment for retinitis pigmentosa

Retinal degenerative diseases such as retinitis pigmentosa (RP) are of the major causes of vision loss in developed countries. Despite the unclear pathophysiology, treatment methods have been investigated vastly in the past decades. This review article mainly discusses the advances in application of stem cell and progenitor transplantation for retinitis pigmentosa. Stem cell sources such as mesenchymal stem cells, embryonic stem cells, induced pluripotent stem cells, neural stem cells, retinal progenitor cells, and olfactory ensheathing cells are discussed separately in addition to a brief description of two approaches for treatment of early-stage RP, including gene therapy and nutritional therapy.
Evaluating the impact of multi-carrier energy storage systems in optimal operation of integrated electricity, gas and district heating networks

Various energy networks such as electricity, natural gas, and district heating can be connected by emerging technologies for efficient application of renewable energy sources. On the other hand, the pressure shortage in the natural gas network and increasing heat loss in the district heating network by growth of gas and heat load in winter might play a significant role in the participation of combined heat and power units in the energy markets and operation cost of the whole integrated energy system. Hence, this paper presents a multi-network constrained unit commitment problem in the presence of multi-carrier energy storage technologies aiming to minimize the operation cost of an integrated electricity, gas and district heating system while satisfying the constraints of all three networks. In addition, an information gap decision theory is developed for studying the uncertainty of energy sources under risk-seeker and risk-averse strategies with no need for probability distribution function. Moreover, the role of multi-carrier energy storage technologies in integrated networks is investigated, which indicates decrement of total operation cost and reduction of the effect of wind power uncertainty on total operation cost in presence of the storage technologies.
In-vivo two-photon visualization and quantitative detection of redox state of cancer

Glutathione (GSH), the most common and abundant antioxidant in the body, is particularly concentrated in cancer cells (2-10 mM). This concentration is approximately 1000 times that of normal cells, making GSH a specific tumor marker. Overexpression of GSH is critical for mapping the redox state of cancer cells. However, there are few probes and detection methods responsive to GSH that can quantitatively visualize GSH in vivo in two-photon excitation fluorescence (TPEF) imaging mode. The experimental results show that TPEF-GSH could not only target GSH in tumors, but also establish the quantitative relationship between TPEF signal and GSH concentration. We explored the optimal two-photon excitation wavelength of TPEF-GSH, the optimal cell incubation duration with TPEF-GSH, the best imaging time point for GSH in cells, and the quantitative relationship between the TPEF signal and the changes in GSH concentrations. In zebrafish embryo and zebrafish experiments, the ratiometric value of TPEF-GSH increased with the decrease of GSH concentration. Microinjection and co-incubation were used to verify whether the ratiometric value could quantify endogenous GSH in tumor-bearing zebrafish, and the obtained GSH levels were 4.66 mM and 5.16 mM, respectively. The ratio TPEF probe could accurately visualize and quantify GSH in vivo, reflecting the redox status of the tumor. The design of the ratiometric molecular probe provides a reliable strategy for the development of TPEF nanoprobe in vivo. In this article, a new GSH sensitive molecular probe, TPEF-GSH, has been developed with good specificity and sensitivity. TPEF-GSH was successfully used to image cancer cells in vitro and tumor-bearing zebrafish in vivo, and to further detect GSH levels.
Hopf bifurcation in delayed nutrient-microorganism model with network structure

In this paper, we introduce and deal with the delayed nutrient-microorganism model with a random network structure. By employing time delay τ as the main critical value of the Hopf bifurcation, we investigate the direction of the Hopf bifurcation of such a random network nutrient-microorganism model. Noticing that the results of the direction of the Hopf bifurcation in a random network model are rare, we thus try to use the method of multiple time scales (MTS) to derive amplitude equation and determine the direction of the Hopf bifurcation. It is showed that the delayed random network nutrient-microorganism model can exhibit a supercritical or subcritical Hopf bifurcation. Numerical experiments are performed to verify the validity of the theoretical analysis.
"Let them know it's okay to get help": Addressing the Mental Health Needs of Police Officers

The following research used a paper and pencil survey to assess programming for mental health and wellness in 7742 law enforcement agencies throughout the United States. A total of 465 respondents provided data to two open-ended questions to share several types of programs and services that would be beneficial for agencies to support officers who experience job challenges or stress. The qualitative data was analyzed via constant-comparison method by two independent coders who engaged in several techniques to aid in trustworthiness. The resulting themes included officer wellness initiatives, counseling, and the role of the overall agency culture in order to provide access to support and for reducing the stigma for police seeking services for mental health. Implications include the need for program and policy changes within law enforcement agencies.
Renewable energy, economic development, and ecological footprint nexus: fresh evidence of renewable energy environment Kuznets curve (RKC) from income groups

This study aims to measure the association of real economic growth per capita, renewable energy consumption, and financial development with ecological footprints (EFP) across the 155 countries of four different income groups over the period of 1990-2017. For the analysis, the unit root tests allowing cross-sectional dependency, Westerlund cointegration test, common correlated effect of mean group, augmented mean group, mean group, and Dumitrescu-Hurlin panel causality test are used. The results verify both the environmental Kuznets curve (EKC) and renewable energy environment Kuznets curve (RKC) hypotheses in the high-income group; however, other groups have not shown reliable results. Moreover, it is observed that the existence of RKC is a turning point for high-income countries, and it takes place before the turning point of the forthcoming EKC. Besides, empirical outcomes endorse the presence of long-run equilibrium and indicate that financial development has a negative and significant effect on the EFP in the case of the high-income group. In contrast, upper-middle- and lower-middle-income groups show the insignificant relationship with the dependent variable. Likewise, financial development has a positive and significant association with EFP for the low-income group. Conversely, biomass energy has a negative relationship with EFP in high- and lower-middle-income groups, while a positive association has been observed for the remaining two groups. We suppose that the study outcomes would guide the policymakers in decision-making regarding the development and usage of renewable energy to prevent environmental damages.
Stochastic optimal sizing of distributed energy resources for a cost-effective and resilient Microgrid

Recent developments and advances in distributed energy resources (DERs) make them more affordable, accessible, and prevalent in microgrids. Research on designing and operating a microgrid with various DERs has received increasing attention during the past few years. This paper proposes a two-stage stochastic mixed-integer programming method for jointly determining optimal sizes of various DERs, considering both economic benefits and resilience performance. The proposed method explicitly models the interaction between DER sizing at the planning stage and hourly or sub-hourly microgrid dispatch at the operating stage in both grid-connected and island modes, considering stochastic grid disturbances, load, and renewable generation. A formulation method is then proposed to convert the stochastic sizing problem to an equivalent mix-integer linear programming problem, which can be efficiently solved even with a large number of system operating conditions. Using the proposed stochastic sizing method, a resource planning analysis for a military base in the U.S. is presented. It is found that the proposed method can effectively determine the optimal DER sizes to meet a required resilience goal at the maximum net-benefit. Impacts of several key factors including tariff rates, discount rate, and survivability level on optimal DER sizes are analyzed through case studies. (C) 2020 Elsevier Ltd. All rights reserved.
Cost benefits of optimizing hydrogen storage and methanation capacities for Power-to-Gas plants in dynamic operation

Power-to-Gas technologies offer a promising approach for converting renewable electricity into a molecular form (fuel) to serve the energy demands of non-electric energy applications in all end-use sectors. The technologies have been broadly developed and are at the edge of a mass roll-out. The barriers that Power-to-Gas faces are no longer technical, but are, foremost, regulatory, and economic. This study focuses on a Power-to-Gas pathway, where electricity is first converted in a water electrolyzer into hydrogen, which is then synthetized with carbon dioxide to produce synthetic natural gas. A key aspect of this pathway is that an intermittent electricity supply could be used, which could reduce the amount of electricity curtailment from renewable energy generation. Interim storages would then be necessary to decouple the synthesized part from hydrogen production, to enable (I) longer continuous operation cycles for the methanation reactor, and (II) increased annual full-load hours, leading to an overall reduction in gas production costs. This work optimizes a Power-to-Gas plant configuration with respect to the cost benefits using a Monte Carlo-based simulation tool. The results indicate potential cost reductions of up to 17% in synthetic natural gas production by implementing well-balanced components and interim storages. This study also evaluates three different power sources which differ greatly in their optimal system configuration. Results from time-resolved simulations and sensitivity analyses for different plant designs and electricity sources are discussed with respect to technical and economic implications, so as to facilitate a plant design process for decision makers.
Modeling heterogeneous dynamic interactions among energy investment, SO2 emissions and economic performance in regional China

Massive investments in energy industry may either promote or mitigate the air pollution which is likely to influence the economic performance. In light of this, the current work is an empirical examination of heterogeneous dynamic causal interactions among energy investment, sulphur dioxide (SO2) emissions and economic growth in regional China. A modified STIRPAT model is developed to introduce energy investment as a determinant of technology. Based on a modified model, a simultaneous equations system has been established to examine the three-way causal interactions among the variables of interest. As a first step, an error-correction-based second generation Westerlund (Oxford Bulletin of Economics and Statistics 69: 0305-9049, (2007). cointegration has been employed and found the long-run relationship. The simultaneous equations have been estimated by employing second generation dynamic common correlated effects mean group estimator (DCCEMGE) for 30 Chinese provinces and cities from 2001 to 2017. The empirical analysis has revealed that the energy investment induces emissions promotion effect while economic growth introduces emissions curtailment effect. However, the emissions curtailment effect remained slightly stronger than emissions promotion effect both at country and regional levels. Further, the energy investment growth uncovered economic performance enhancement effect. Furthermore, the SO2 emissions growth induced economic performance deterioration effect. In this regard, the economic performance deterioration effect exceeded the economic performance enhancement effect. Besides, there is a bidirectional causality operative between SO2 emissions and gross regional product (GRP) growth for the country as well as regional samples. On the contrary, a positive bilateral causal relationship between energy investment and GRP growth is found for the country as well as regional samples. Similarly, it has been found that there exists a positive bilateral causal association between SO2 emissions and energy investment.
Enhancement of pyramid-shaped solar stills performance using a high thermal conductivity absorber plate and cooling the glass cover

This study aims to enhance the performance of pyramid-shaped solar stills using a high thermal conductivity absorber plate (graphite) and cooling the glass cover. To achieve this aim experimentally, the absorbent surface manufacture from a graphite material with a thickness of 25 mm. The graphite is characterized by the high thermal conductivity, as well as, the graphite represents a sensible store medium where the thermal energy is stored during the period of the high value of solar radiation and is reclaimed back into the basin water during the period of lower solar radiation intensity and after sunset. Also, the outside surface of the glass cover is cooled to increase the rate of water vapor condensation and then improve the distillate water production. A traditional pyramid-shaped still and a pyramid-shaped still using a high thermal conductivity absorber plate and cooling the glass cover (modified pyramid-shaped still) have been constructed and tested in Tanta University-Egypt, to get the effect of using graphite as an absorber surface and cooling the glass cover on the performance of pyramid-shaped still. The experimental results show that daily production of both modified pyramid-shaped still and a traditional pyramid-shaped still ranges from 9 to 9.19 and 4.37-4.43 l/m(2) day, respectively at the same ambient conditions. The improvement in the daily production of the modified pyramid-shaped still ranges between 105.9 and 107.7% as compared to a traditional pyramid-shaped still. Also, use the graphite with cooling the glass cover improves the everyday efficiency of the modified pyramid-shaped still by 97.2-98.9% as compared to a traditional pyramid-shaped still. The economic analysis presented that use the graphite and cooling the glass cover reduce the cost of distillate water produced from the pyramid-shaped solar still by 13.6%. (C) 2019 Elsevier Ltd. All rights reserved.
Drug delivery systems of CoFe2O4/chitosan and MnFe2O4/chitosan magnetic composites

The study consists of three parts. In the first part, synthesis and characterization of core-shell magnetic composite beads based on chitosan and containing two different magnetic nanoparticles were carried out. The beads were formed from CoFe2O4/chitosan and MnFe2O4/chitosan. TGA and SEM were used for the characterization of core-shell materials. In the second part, swelling experiments of magnetic beads were performed. In the third part, 5-Fluorouracil was encapsulated at different rates in two different magnetic materials, release experiments were carried out at pH 7.4, pH 6.8, and pH 1.2, and the model of drug release was determined. Korsmeyer-Peppas, Higuchi, first-order, and zero-order models were used for mathematical modeling. Both prepared systems were found to be suitable for controlled release for 5-Fluorouracil.
Measuring dominance certainty and assessing its impact on individual and societal health in a nonhuman primate model: a network approach

The notion of dominance is ubiquitous across the animal kingdom, wherein some species/groups such relationships are strictly hierarchical and others are not. Modern approaches for measuring dominance have emerged in recent years taking advantage of increased computational power. One such technique, named Percolation and Conductance (Perc), uses both direct and indirect information about the flow of dominance relationships to generate hierarchical rank order that makes no assumptions about the linearity of these relationships. It also provides a new metric, known as 'dominance certainty', which is a complimentary measure to dominance rank that assesses the degree of ambiguity of rank relationships at the individual, dyadic and group levels. In this focused review, we will (i) describe how Perc measures dominance rank while accounting for both nonlinear hierarchical structure as well as sparsity in data-here we also provide a metric of dominance certainty estimated by Perc, which can be used to compliment the information dominance rank supplies; (ii) summarize a series of studies by our research team reflecting the importance of 'dominance certainty' on individual and societal health in large captive rhesus macaque breeding groups; and (iii) provide some concluding remarks and suggestions for future directions for dominance hierarchy research. This article is part of the theme issue 'The centennial of the pecking order: current state and future prospects for the study of dominance hierarchies'.