ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
A survey of polar stationary phases for hydrophilic interaction chromatography and recent progress in understanding retention and selectivity

Various polar stationary phases are available for hydrophilic interaction chromatography (HILIC) and help drive continuous applications in biomedical, environmental, and pharmaceutical areas in the past decade. Although the stationary phases for HILIC have been reviewed previously, it is an appropriate time to take another look at the progresses made during the past 5 years. The current review provides an overview of the polar stationary phases commercially available for HILIC applications in an effort to assist scientists in selecting suitable columns. New types of stationary phases that were published in literature in the past 5 years are summarized and discussed. The trend in stationary phase research and development is also highlighted. Of particular interest is the experimental evidence for direct interactions of polar analytes with the ligands of the stationary phases under HILIC conditions. In addition, two different approaches have been developed to delineate the relative significance of the partitioning and adsorption mechanisms in HILIC, representing an important advancement in our understanding of the retention mechanisms in HILIC.
Countermeasures for Health Care Disruptions During Lockdowns

Many countries did not have alternative healthcare arrangements during their initial coronavirus disease (COVID-19) lockdowns. This is surprising as partial and full lockdowns have been previously used to manage terrorism and the severe acute respiratory syndrome (SARS) outbreak of 2002-2003. This paper examines how lockdowns disrupt normal health care services and discusses countermeasures that can be used during lockdowns regardless of the emergency that engendered them. Solutions for consultations and pharmacy operations are discussed pragmatically with frontline clinicians, health care managers, and policy-makers in mind. Mental health services are used as a case in point with generalizable lessons for other healthcare specialties.
One novel naphthalene derivative and other constituents with anti-complementary activities from the aerial parts of Dracocephalum moldavica

One novel naphthalene derivative, 2-octa-2',4',6'-atriynenaphthalene (1), together with eighteen known compounds (2-19) were isolated from the aerial parts of Dracocephalum moldavica L. Compounds 2, 8, 10, 13, 15-17 and 19 were obtained from the family Lamiaceae for the first time, and compounds 11 and 18 were firstly identified from the genus of Dracocephalum. All the isolates were evaluated for anti-complementary activities through the classical and alternative pathways, and the targets of the most active compounds on the complement activation cascade were also investigated.
Enhancing digital literacy with an intelligent conversational agent for senior citizens in Thailand

Intelligent conversational agents have been implemented as virtual assistants in mobile applications to facilitate, engage, and interact with users for optimal learning experiences. With 24/7 availability, providing instant and consistent responses, chatbots, as a type of intelligent conversational agent, will help benefit the learning communication, makes the entire learning experience more engaging for the learners. They have also been successfully used by the elderly to encourage behavioral change for their intended purpose. This study investigated baseline data on the use of digital platforms of senior citizens in Bangkok Metropolitan and the six regions of Thailand and developed a chatbot from the derived data. The chatbot contained learning media and service function, served as a platform to enhance digital literacy for the senior citizens in Thailand. The study was conducted in 3 phases, the baseline survey on the use of digital platforms of the senior citizens in Thailand, the development of the chatbot and learning media, and the pre-experimental expert validation. The samples were 422 senior citizens. The data were collected by questionnaires, focused group discussion, and interviews with experts, and analyzed by percentage, mean, standard deviation, and content analysis. Results were incorporated in the design and development of the chatbot innovation following the software development life cycle (SDLC) framework. Expert feedback revealed that this chatbot innovation was easy to access, convenient to request for operations, artistically appealing, and comprehensive in content and functionality for enhancing digital literacy skills, which are to access, analyze, evaluate, participate, and act. In the next research sequence, this innovation will subsequently be experimented with more senior citizens to prepare and improve their digital competence to consequently equip them with the necessary capacities to keep up with Thailand's transition towards a full-blown aging society.
Extracellular polymeric substance decomposition linked to hydrogen recovery from waste activated sludge: Role of peracetic acid and free nitrous acid co-pretreatment in a prefermentation-bioelectrolysis cascading system

Free nitrous acid (FNA) has been recently reported to be an effective and eco-friendly inactivator for waste activated sludge (WAS), while the limited decomposition of the extracellular polymeric substance (EPS) matrix hampers resource recovery from WAS. This work employed peracetic acid (PAA) to assist FNA and explored the contribution of co-pretreatment to hydrogen recovery in a prefermentation-bioelectrolysis cascading system. The results showed that co-pretreatment led to approximately 8.8% and 20.4% increases in the exfoliation of particulate proteins and carbohydrates, respectively, from tightly bound EPS (TB-EPS) over that of sole FNA pretreatment. Electron paramagnetic resonance analysis verified that the synergistic effect of FNA, PAA and various generated free radicals was the essential process. This effect further promoted the accumulation of volatile fatty acids (VFAs) after 96 h of prefermentation, and the peak concentration in co-pretreatedWAS (AD-FPWAS) was approximately 2.5-fold that in sole FNA-pretreated WAS (AD-FWAS). Subsequently, the cascading utilization of organics in the bioelectrolysis step contributed to efficient hydrogen generation. A total of 10.8 +/- 0.3 mg H-2/g VSS was harvested in microbial electrolysis cells (MECs) fed with AD-FPWAS, while 6.2 +/- 0.1 mg H-2/g VSS was obtained from AD-FWAS. X-ray photoelectron spectroscopy (XPS) revealed the effective decomposition of the phospholipid bilayer in the cytomembrane and the transformation of macromolecular organics into VFAs and hydrogen in the cascading system. Further microbial community analysis demonstrated that co-pretreatment enhanced the accumulation of functional consortia, including anaerobic fermentative bacteria (AFB, 28.1%), e.g., Macellibacteroides (6.3%) and Sedimentibacter (6.9%), and electrochemically active bacteria (EAB, 57.0%), e.g., Geobacter (39.0%) and Pseudomonas (13.6%), in the prefermentation and MEC steps, respectively. The possible synergetic and competitive relationships among AFB, EAB, homo-acetogens, nitrate-reducing bacteria and methanogens were explored by molecular ecological network analysis. From an environmental and economic perspective, this promising FNA and PAA co-pretreatment approach provides new insight for energy recovery from WAS biorefineries. (C) 2020 Elsevier Ltd. All rights reserved.
Environmental regulation and industrial capacity utilization: An empirical study of China

China's current economic development is faced with the two major problems of environmental pollution and production overcapacity. Environmental regulation is not only an effective means of controlling polluting emissions but is also an important factor which can affect industrial capacity utilization (ICU). For this work, 2004 to 2015 panel data from 30 provinces in China was employed to verify the evolution and spatial correlation of both environmental regulation intensity and industrial capacity utilization. The dynamic spatial panel model (DSPM) was then used to examine not only the impact of environmental regulation intensity on industrial capacity utilization but also the compliance cost effect and the innovation offset effect through which the environmental regulation intensity influences industrial capacity utilization. It was found that striking differences exist between provinces with respect to China's environmental regulation intensities and industrial capacity utilization, with a fluctuating but rising trend emerging over time. In parallel with this, there is also a significant spatial correlation in industrial capacity utilization. The results from the DSPM show that increases in environmental regulation intensity can significantly improve industrial capacity utilization. Environmental regulations can also improve industrial capacity utilization through the innovation offset effect, although the compliance cost effect of environmental regulation not significant. (C) 2019 Elsevier Ltd. All rights reserved.
Strategies for designing proteolysis targeting chimaeras (PROTACs)

Proteolysis targeting chimaeras (PROTACs) is a cutting edge and rapidly growing technique for new drug discovery and development. Currently, the largest challenge in the molecular design and drug development of PROTACs is efficient identification of potent and drug-like degraders. This review aims to comprehensively summarize and analyse state-of-the-art methods and strategies in the design of PROTACs. We provide a detailed illustration of the general principles and tactics for designing potent PROTACs, highlight representative case studies, and discuss the advantages and limitations of these strategies. Particularly, structure-based rational PROTAC design and emerging new types of PROTACs (e.g., homo-PROTACs, multitargeting PROTACs, photo-control PROTACs and PROTAC-based conjugates) will be focused on.
Evaluation of city sustainability using multi-criteria decision-making considering interaction among criteria in Liaoning province China

City sustainability is a complex system affected by economic, social, and environmental dimensions, with the existence of interaction and conflict among factor. However, there is a lack of real methodology on the measurement of interaction. Then, this article presents a method to calculate the interaction among multiple criteria, including static interaction and dynamic trend similarity, and to compute the weigh coefficient of each indicator induced by this interaction. In addition, the applicability of the proposed method is demonstrated by evaluating the sustainability performance of 14 cities in Liaoning province China in the context of the Triple Bottom Line (TBL) framework. Our results show that the sustainable development of 14 cities in Liaoning province experienced dramatically downward and has a crucial condition from 2013 to 2017. Only Dalian, Shenyang, Panjin, Benxi, and Yingkou could be classified as a Good level (Level.), and none of cities was an Excellent level (Level.). From spatial-temporal perspective, regional disparities of sustainability are demonstrated by spatial distributions of city sustainability. In detail, the comprehensive sustainability and subsystem exhibit a "cold-spot in West" feature. The scores for indicators reveal that the shortage of science expenditure, declining investment in fixed asset, lack of economic growth, and lagging public transportation are the main limit factor faced by most cities. Meanwhile, tertiary industry development, energy efficiency improvement, increase green coverage, and reduce pollutant emissions are primary driving factors for improving sustainability. Comparing with other methods, MCDM considering interaction among criteria is an appropriate method to evaluate city sustainability.
Early onset X-linked female limited high myopia in three multigenerational families caused by novel mutations in the ARR3 gene

This study describes the clinical spectrum and genetic background of high myopia caused by mutations in the ARR3 gene. We performed an observational case series of three multigenerational families with high myopia (SER≤-6D), from the departments of Clinical Genetics and Ophthalmology of a tertiary Dutch hospital. Whole-exome sequencing (WES) with a vision-related gene panel was performed, followed by a full open exome sequencing. We identified three Caucasian families with high myopia caused by three different pathogenic variants in the ARR3 gene (c.214C>T, p.Arg72*; c.767+1G>A; p.?; c.848delG, p.(Gly283fs)). Myopia was characterized by a high severity (<-8D), an early onset (<6 years), progressive nature, and a moderate to bad atropine treatment response. Remarkably, a female limited inheritance pattern was present in all three families accordant with previous reports. The frequency of a pathogenic variant in the ARR3 gene in our diagnostic WES cohort was 5%. To conclude, we identified three families with early onset, therapy-resistant, high myopia with a female-limited inheritance pattern, caused by a mutation in the ARR3 gene. The singular mode of inheritance might be explained by metabolic interference due to X-inactivation. Identification of this type of high myopia will improve prompt myopia treatment, monitoring, and genetic counseling.
Choking under pressure: Does it get easier with age? How loneliness affects social monitoring across the life span

Previous experimental work showed that young adults reporting loneliness performed less well on emotion recognition tasks (Diagnostic Analysis of Nonverbal Accuracy [DANVA-2]) if they were framed as indicators of social aptitude, but not when the same tasks were framed as indexing academic aptitude. Such findings suggested that undergraduates reporting loneliness possessed the social monitoring skills necessary to read the emotions underlying others' facial expressions, but that they choked under social pressure. It has also been found that undergraduates reporting loneliness have better recall for both positive and negative social information than their non-lonely counterparts. Whether those effects are evident across different age groups has not been examined. Using data from the British Broadcasting Corporation (BBC) Loneliness Experiment that included participants aged 16-99 years (N = 54,060), we (i) test for replication in a larger worldwide sample and (ii) extend those linear model analyses to other age groups. We found only effects for participants aged 25-34 years: In this age group, loneliness was associated with increased recall of negative individual information, and with choking under social pressure during the emotion recognition task; those effects were small. We did not find any such effects among participants in other age groups. Our findings suggest that different cognitive processes may be associated with loneliness in different age groups, highlighting the importance of life-course approaches in this area.
Emerging roles of SWI/SNF remodelers in fungal pathogens

Fungal pathogens constantly sense and respond to the environment they inhabit, and this interaction is vital for their survival inside hosts and exhibiting pathogenic traits. Since such responses often entail specific patterns of gene expression, regulators of chromatin structure contribute to the fitness and virulence of the pathogens by modulating DNA accessibility to the transcriptional machinery. Recent studies in several human and plant fungal pathogens have uncovered the SWI/SNF group of chromatin remodelers as an important determinant of pathogenic traits and provided insights into their mechanism of function. Here, we review these studies and highlight the differential functions of these remodeling complexes and their subunits in regulating fungal fitness and pathogenicity. As an extension of our previous study, we also show that loss of specific RSC subunits can predispose the human fungal pathogen Candida albicans cells to filamentous growth in a context-dependent manner. Finally, we consider the potential of targeting the fungal SWI/SNF remodeling complexes for antifungal interventions.
A study on China's economic growth, green energy technology, and carbon emissions based on the Kuznets curve (EKC)

China's rapid economic development is unavoidably characterized by environmental pitfalls, especially the carbon dioxide emissions of greenhouse gases from the use of energy. Since there is a relationship between economic growth, energy consumption, and carbon emission, it is important to note that the continuous improvement and application of solar energy technology will play an active role in carbon emission reduction. Therefore, this paper uses the Kuznets curve to probe the relationship between economic growth, solar energy technology, and carbon emissions. The results show that solar energy technology, economic development level, and carbon emissions are all integrated at the second order with a long-run cointegration relationship. In the long-run, the relationship between economic growth and carbon emissions is inverted "U," which suggest that there is a turning point of carbon emissions, where the carbon emissions first increase with economic growth and then gradually decrease, which is reflected in the image as an inverted "U" curve. Also, the impact of economic factors on carbon emissions and the innovation of solar technology can negatively influence carbon emissions, and enhancing the innovation of solar technology has a positive effect on reducing carbon dioxide emissions.
Fragile X Premutation: Medications, Therapy and Lifestyle Advice

The fragile X premutation is characterized by 55-200 CGG repeats in the 5' untranslated region of FMR1, whereas full fragile X mutation has greater than 200 repeats and full methylation, which manifests as fragile X syndrome (FXS). The premutation spectrum of clinical involvement includes fragile X-associated tremor/ataxia syndrome (FXTAS), fragile X-associated primary ovarian insufficiency (FXPOI), and fragile X-associated neuropsychiatric disorders (FXAND). In addition, premutation carriers also suffer from various other health problems such as endocrine abnormalities and autoimmune problems. In this paper, we have discussed different health issues faced by the carriers and interventions including medications, therapy and lifestyle changes that could improve their health.
Does COVID-19 predispose patients to type 1 diabetes mellitus?

The novel coronavirus disease (COVID-19) has emerged as a global pandemic. This was a prospective, case-control study conducted in Izmir, Turkey. The aim of this study was to assess the relationship between COVID-19 and new-onset T1DM. We included pediatric patients (aged 6 mo-18 yr) with new-onset type-1 diabetes mellitus (T1DM) diagnosed during the COVID-19 pandemic, between April 2020 and January 2021. Polymerase chain reaction was used to diagnose COVID-19 after hospital admission. An enzyme-linked immunoassay for IgM and IgG against SARS-CoV-2 was performed after the diagnosis was confirmed. In the control group, the blood antibody test was conducted as close as possible to the time of the T1DM patient referral. A total of 118 participants were included in the study, comprising 57 (48%) patients with new-onset T1DM and 61 (52%) healthy controls. Of the 57 patients, 36 (63.2%) presented with DKA, 17 (29.7%) with diabetic ketosis, and four (7%) incidentally. The SARS-CoV-2 antibody test was positive in five (8.7%) patients with T1DM and six (10%) controls. The rate of positivity did not differ between the two groups (p = 0.901). It was not possible to demonstrate a clear association between SARS-CoV-2 infection and new-onset T1DM. Whether SARS-CoV-2 increases susceptibility to diabetes by triggering islet cell autoimmunity and affects the timing of overt diabetes in patients with existing autoimmunity should be studied in large cohorts.
Association of blood APMAP content and meat quality trait in Rex rabbits

APMAP is single transmembrane arylesterase which plays a cardinal role in adipogenesis. In this experiment, three tissue and blood samples of Rex rabbits at 3 growing periods were selected. The expression levels of APMAP gene in different tissues were detected by real-time fluorescence quantitative PCR and the content of APMAP in the blood was detected by Elisa. The results showed that fat deposition, the expression of APMAP in muscle and the content of APMAP in the blood increased rapidly during the growth of Rex rabbits. The correlation analysis showed that the correlation coefficient between APMAP content in the blood and the expression level of APMAP gene in longissimus lumborum muscle was 0.75(p < 0.05); the correlation coefficients between APMAP content in the blood and intramuscular fat and 24-hour pH were 0.90 (p < 0.01) and 0.75 (p < 0.05), respectively. According to the analysis results, we inferred APMAP content in the blood in Rex rabbits may influence meat quality and the meat quality of high APMAP content in the blood in Rex rabbits is better. These results revealed APMAP content in the blood may be one of the important signs for meat quality traits of molecular markers.
Adolescents' Use of Sexually Explicit Internet Material Over the Course of 2019-2020 in the Context of the COVID-19 Pandemic: A Three-wave Panel Study

Recently, sexual health scholars have expressed concerns regarding adolescents' use of sexually explicit internet materials (SEIM) during the COVID-19 pandemic. Therefore, using latent growth curve modeling, the current study explored adolescents' changes in the frequency of SEIM use before, during, and after a strict lockdown period was established in Belgium. Attention was given to individual differences (i.e., gender, gender identity, sexual orientation, pubertal timing, and sensation seeking). A three-wave panel study over a 15-month period among 522 adolescents was used (Mage = 15.36, SD = 1.51, 67.1% girls). In general, SEIM use did not significantly increase over a 15-month period in the context of the COVID-19 pandemic. Only gender predicted a change in SEIM use frequencies with girls showing a greater, increasing change of SEIM use than boys. When addressing why adolescents used SEIM during a strict lockdown period, sexual arousal, stress, and boredom regulation motivations emerged as the most prevalent motivations. Loneliness regulation was the least prominent motivation. Individual differences were found regarding the gratifications sought according to adolescents' gender, pubertal timing, and sensation seeking. The findings offer a response to sexual scholars' worries in terms of adolescents' SEIM use during the COVID-19 pandemic.
Use of mycorrhizal fungi and phosphorus fertilization to improve the yield of onion ( Allium cepa L.) plant

Improving the economical yield of commonly cultivated crops is one of the most pressing social and scientific issues in modern agriculture. This paper was conducted to investigate the bio-efficacy of arbuscular mycorrhizal fungi (AMF) in improving phosphorous (P) utilization and increasing the yield of onion plant grown in sandy soil under a drip irrigation system. The obtained results showed that AMF inoculation of onion and application of 120 kg P fertilizer ha-1 significantly increased the fresh and dry weights, chlorophyll content of onion as well as P concentration in the root, shoot, and bulb during two growing seasons. Moreover, AMF increased the bioavailability of P in the rhizosphere and significantly enhanced the N-utilization by the inoculated plant. The economic yield of the onion plant inoculated by AMF and fertilized by different doses of P fertilizer was much higher than that obtained by the control (without AMF). These findings indicated that inoculating the onion plant in the field with AMF could be very effective in increasing the yield of the onion plant. Additionally, this study suggests AMF as a low-cost and promising candidate for the sustainable production of the onion crop using reclaimed sandy soils and a drip irrigation system.