Miracle-dz/UniFAR-FTUs huggingface dataset:
Antibodies against the Majority Subunit (PilA) of the Type IV Pilus of Nontypeable <named-content content-type='genus-species'>Haemophilus influenzae</named-content> Disperse <named-content content-type='genus-species'>Moraxella catarrhalis</named-content> from a Dual-Species Biofilm

Otitis media (OM) is often polymicrobial, with nontypeable Haemophilus influenzae (NTHI) and Moraxella catarrhalis (Mcat) frequently cocultured from clinical specimens. Bacterial biofilms in the middle ear contribute to the chronicity and recurrence of OM; therefore, strategies to disrupt biofilms are needed. We have focused our vaccine development efforts on the majority subunit of NTHI type IV pili, PilA. Antibodies against a recombinant, soluble form of PilA (rsPilA) both disrupt and prevent the formation of NTHI biofilms in vitro. Moreover, immunization with rsPilA prevents and resolves NTHI-induced experimental OM. Here, we show that antibodies against rsPilA also prevent and disrupt polymicrobial biofilms. Dual-species biofilms formed by NTHI and Mcat at temperatures that mimic the human nasopharynx (34°C) or middle ear (37°C) were exposed to antiserum against either rsPilA or the OMP P5 adhesin of NTHI. NTHI Mcat biofilm formation was significantly inhibited by antiserum directed against both adhesin proteins at either temperature. However, only anti-rsPilA disrupted NTHI Mcat preestablished biofilms at either temperature and actively dispersed both NTHI and Mcat via interspecies quorum signaling. Newly released NTHI and Mcat were significantly more susceptible to killing by antibiotics. Taken together, these results revealed new opportunities for treatment of biofilmassociated diseases via a strategy that combines vaccine-induced antibody-mediated biofilm dispersal with traditional antibiotics, at a significantly reduced dosage to exploit the newly released, antibiotic-sensitive phenotype. Combined, our data strongly support the utility of rsPilA both as a preventative and as a therapeutic vaccine antigen for polymicrobial OM due to NTHI and Mcat. IMPORTANCE Middle ear infections (or otitis media [OM]) are highly prevalent among children worldwide and present a tremendous socioeconomic challenge for health care systems. More importantly, this disease diminishes the quality of life of young children. OM is often chronic and recurrent, due to the presence of highly antibiotic-resistant communities of bacteria (called biofilms) that persist within the middle ear space. To combat these recalcitrant infections, new and powerful biofilmdirected approaches are needed. Here, we describe the ability to disrupt a biofilm formed by the two most common bacteria that cause chronic and recurrent OM in children, via an approach that combines the power of vaccines with that of traditional antibiotics. An outcome of this strategy is that antibiotics can more easily kill the bacteria that our vaccine-induced antibodies have released from the biofilm. We believe that this approach holds great promise for both the prevention and treat-
Influence of Low-Frequency Ultrasound on the Disintegration of Coliform and Fecal Coliform Bacteria

Wastewater contains an abundance of pathogenic microorganisms, which, if they infiltrate into the environment, can cause many bacterial diseases. The lack of widespread use of the wastewater disinfection process raises more and more concerns about the sanitary quality of the wastewater leaving treatment plants. This article aimed to test the effectiveness of the ultrasonic disintegration process against coliform bacteria and fecal coliforms in the treated wastewater. The paper presents the research on the use of ultrasound with a frequency of 20 and 40 kHz, with a variable and constant operating mode of an ultrasonic cleaner. The obtained test results confirm the effectiveness of the applied method. In most of the analyzed cases, 25-minute sonication reduced the number of tested microorganisms by over 90% compared to the control sample. Ultrasonic disintegration can therefore be successfully used in municipal wastewater treatment plants. The use of ultrasound for disinfection can improve the sanitary safety of the wastewater discharged into water or soil.
Changes in the Quality of Life, Psychological Status, Medication Compliance, and Prognosis of Patients with Acute Myocardial Infarction after PCI by Applying PDCA Cycle Management Model

Objective To discuss the changes in the quality of life, psychological status, medication compliance, and prognosis of patients with acute myocardial infarction (AMI) after percutaneous coronary intervention (PCI) by applying plan-do-check-action (PDCA) cycle management model. Methods A total of 125 patients with AMI who underwent PCI in our hospital from June 2018 to June 2020 were selected and divided into control group (n = 62) and research group (n = 63) by the random number method. The conventional nursing measures were used in the control group, and the PDCA cycle management model on the basis of the control group was used in the research group. The changes in the quality of life, psychological status, medication compliance, and prognosis were observed. Results After intervention, the Generic Quality of Life Inventory-74 scores and the self-made medication compliance questionnaire score of the research group were higher than the control group (P < 0.05). After intervention, the self-rating anxiety scale score and self-rating depression scale score of the research group were lower than those of the control group (P < 0.05). The total incidence of adverse events in the research group (7.94%) was lower than that in the control group (20.97%) (P < 0.05). Conclusion After the application of PDCA cycle management model, the quality of life, psychological status, medication compliance, and prognosis of AMI patients who underwent PCI were improved.
Kidney Injury via Inhibition of Oxidative Stress, Inflammation, and Epithelial-to-Mesenchymal Transition in db/db Mice

Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430030 Wuhan, China Hubei Province Clinical Research Center for Precision Medicine for Critical Illness, 430030 Wuhan, China Department of Pharmacy, Taihe Hospital, Hubei University of Medicine, No. 32 South Renmin Road, Huibei, Shiyan 442000, China Glycation and Diabetes Group, Mater Research Institute-the University of Queensland, Translational Research Institute, Brisbane, Queensland 4072, Australia
The multiple uses of iThenticate in doctoral education: Policing malpractice or improving research writing?

This article provides a description and analysis of the way in which research degree students and their supervisors at one Australian university (the University of South Australia) use a popular online plagiarism-detection system, iThenticate. The study identifies how these two groups use iThenticate by analysing usage data together with data from an anonymous online survey conducted 12 months after the university took out a pilot subscription to the system. One hundred and nineteen students and 26 supervisors responded to the survey, representing 61% and 43% of the active users in each category. The survey found that the two groups of respondents used the system differently but that, while for both groups iThenticate’s regulatory function in preventing plagiarism (whether international or accidental) was important, the system’s potential educational function in improving research writing capability and publication was equally important. The study highlights the value of regarding the use of anti-plagiarism software so as to encourage a move way from a simple focus on its punitive regulatory dimension and towards its educational possibilities and suggests directions for future research on the relationship between this type of software and the ways scholars work with other people’s texts to recreate meanings and develop original contributions. Implications for practice or policy: Online plagiarism detection systems (such as iThenticate) can be used either negatively to police doctoral students’ practice or positively to improve their research writing practice. Academic developers should promote a positive approach, aimed at improving research writing practice, as the preferable pedagogy in using online plagiarism-detection systems.
The Effect of Consumer Characteristics and Behaviour on Pork Consumption in Malta. A Quantitative Study

The pig industry in Malta is important for the local economy and food safety. As is reported in Galli et al. (2016), Maltese people eat protein-rich diets although the Agriculture and Fisheries Census 2014 issued by the National Statistics Office reports a decrease in the number of pigs being bred on the island. This paper intends to analyse the pattern of Maltese consumer behaviour regarding pork consumption, eliciting the crucial factors affecting local consumption. This study forms part of an ongoing research studying the characteristics and behaviours of the Maltese pork consumer aimed to help the stakeholders in the industry to focus their strength on what is really expected by the consumers. Data was obtained through an online survey with questions/statements related to the demographic characteristics of the respondent, several Likert scale statements to analyse the purchase behaviour, and finally two questions to obtain the respondents’ weekly pork consumption. The research tool was tested for its reliability through an SPSS test, obtaining a Cronbach’s alpha value of 0.534. Data was reduced through Factor Analysis, from 17 factors to 5. The VARIMAX test was used to carry out the rotation necessary to reduce data. A resultant 5 factors gave 63% of the total variance in only 6 iterations and this was shown clearly in the scree plot. These five factors were named Product Quality, Peer Influence, Health Issues, Ethnocentrism, and Product Information. Statements found in the research tool were grouped according to their respective new factor and were analysed for their normality. Since the number of respondents was fewer than 100, the Shapiro Wilk test was used to determine if the data has a normal or non-normal distribution. All 5 new factors resulted skewed and therefore the Spearman Correlation test was used to test for the relationship between the Independent variables and the Dependant variables, between the Independent variables themselves, and between the Independent variables and the demographic information gathered. The correlation resulted significant in one Independent variable versus the Dependant variable, in 4 results between the Independent variables themselves, and in 4 results with regard to the relationship between the Independent variables and the Demographic factors. These results give a better picture of the local purchasing behaviour in relation to pork consumption as no previous study in this regard has been published locally before. It is intended to continue studying this phenomenon in the near future by increasing the sample size and making changes to the research tool in order to improve its reliability.
Economic effects of climate change on global agricultural production

Climate change seems to be larger, more complex and more unpredictable than any other environmental problem. This review deals with the economic effects of climate change on global agricultural production. The causes and consequences of climate change are very diverse, while populations in low-income countries are increasingly exposed to its negative effects. Supplying the population with food is possible with increased agricultural production, but this often occurs under unsustainable circumstances. Increased agricultural production is also one of the main sources of greenhouse gas emissions. In this research we highlight some of the important connections between climate change, population growth and agricultural production.
Epigenetic Alterations and their Dietary Backgrounds

The key intention of this review is to summarize the different studies which relate the genomediet interactions with future perspectives of exploring an insight into the well defined functions of diverse micronutrients and other dietary components that play a vital task in defining the early developmental patterns of an organism. Human fetus development is a complex process that is totally dependent on the dietary components which interact with the genes to regulate the different proliferation and differentiation stages. We want to explore those complex interactions that lay hidden between micro-nutrients and gene expressions but are means of the apparent changes of a phenotype of an individual. Along with this the review will also perceive some basics of development of certain diseases as well, due to these complex genome-diet interactions thus leading to refine the dietary outlines for maternal and prenatal developmental stages in future. Research has also shown that genome-diet interactions are very complex as without proper nutrients the end result is the genome instability which may lead to chronic diseases, developmental defects and certain types of cancer.
IMPROVING YIELD, STORABILITY AND WATER PRODUCTIVITY FOR SOME ONION CULTIVARS BY DIFFERENT PLANTING

The current experiment was carried out in a clay soil at Sids Agricultural Research Station, Beni-Swief Governorate Egypt during the two seasons of 2013/2014 and 2014/2015 to study the effect of planting methods on productivity and storability as well as crop-water relations for some onion cultivars. Three planting methods: planting on flat land (P1), on ridges (P2) and on raised bed (P3). Three cultivars namely, Giza 6 Mohassan (C1), Giza 20 (C2) and Giza red (C3). The split-plot experimental design in four replicates were performed, where planting methods were occupied the main plots while the split ones were allocated to the onion cultivars. The important findings could be summarized as follows:* Amount of irrigation water applied and seasonal consumptive use under P3 treatment were reduced in comparison with those under P1 and P2 for all cultivars in the two seasons. * The highest averages of plant height, no. of leaves/plant, bulb length, no. of days to maturity and TSS % in the two successive seasons, were detected from planting onion on ridges of 60 cm width (P2). While, bulb diameter, plant weight and dry matter % were detected for planting onion on raised bed (P3) for all onion cultivars. * The marketable onion, total yields and bulb weight were increased with P3 comparable with P1 and P2. The lowest value of culls onion yield was obtained with P1 compared with P2 and P3 for all cultivars in the two seasons. * Water productivity and water use efficiency values were improved under P3 as compared with the values with P1 and P2 for all cultivars in the two seasons. * Planting onion on raised bed (P3) for all onion cultivars resulted in significant decrease in weight loss % at different storage periods, in both seasons.
PRODUCTION OF ANTIMICROBIAL AGENTS FROM SOME BACILLUS ISOLATES

A survey was undertaken for bacterial isolates capable of producing antimicrobial agents from different Egyptian soils . These isolates were tested against various species of microorganisms (G+, G-, spore formers , yeast and fungi) using inhibition zone determination technique and standard disks of antibiotics as reference. One or more of the pathogenic bacterial strains used as tested organisms were affected by antimicrobial substances produced by bacterial isolates as indicated by inhibition zones formation . The effect of antimicrobial substances produced by bacterial isolates were compared with the effect of 11 antibiotic disks as reference. The most effective isolates against the tested organisms were identified by API 50 CHB system which indicate that these isolates were Bacillus licheniformis, Bacillus amyloliquefaciens, and Bacillus subtilis. Whole sediment produced by the five bacterial strains were found to be safe when using as ration for albino rats.
Effect of Water Chemistry on the Uptake of Co(II) on Graphene Oxide Investigated by Batch Technique

The uptake of Co(II) on graphene oxide (GO) by an adsorption process as a function of pH and ionic strength in the absence and presence of humic acid (HA) or fulvic acid (FA) was studied using batch technique. The results indicated that the uptake is strongly dependent on pH but independent of ionic strength. A stimulative effect of HA/FA on Co(II) uptake was found at pH < 7.0, whereas an inhibitory effect was observed at pH > 7.0. Kinetic studies suggest that Co(II) uptake on GO could be described more favorably by the pseudo-second-order kinetic model. The uptake isotherms can be described better by the Langmuir, Freundlich, and D-R models than by the linear model. The thermodynamic data calculated from the temperature-dependent uptake isotherms suggests that the uptake of Co(II) on GO is spontaneous and endothermic. Results of this work are of great importance for the environmental application of GO in the treatment of Co(II) from wastewater and indicated that GO is promising for the natural attenuation of Co(II) and related metal ions from aqueous solution.
OAJSM_A_266227 129..138

USC Epstein Family Center for Sports Medicine at Keck Medicine of USC, Los Angeles, CA, USA Abstract: Anterior cruciate ligament reconstructions (ACLR) are a relatively common procedure in orthopedic sports medicine with an estimated 130,000 arthroscopic operations performed annually. Most procedures are carried out on an outpatient basis, and though success rates of ACLR are as high as 95%, pain remains the most common postoperative complication delaying patient discharge, and thereby increasing the costs associated with patient care. Despite the success and relative frequency of ACLR surgery, optimal and widely accepted strategies and regimens for controlling perioperative pain are not well established. In recent years, the paradigm of pain control has shifted from exclusively utilizing opiates and opioid medications in the acute postoperative period to employing other agents and techniques including nerve blocks, intra-articular and periarticular injections of local anesthetic agents, NSAIDs, and less commonly, ketamine, tranexamic acid (TXA), sedatives, gabapentin, and corticosteroids. More often, these agents are now used in combination and in synergy with one another as part of a multimodal approach to pain management in ACLR, with the goal of reducing postoperative pain, opioid consumption, and the incidence of delayed hospital discharge. The purpose of this review is to consolidate current literature on various agents involved in the management of postoperative pain following ACLR, including the role of classically used opiate and opioid medications, as well as to describe other drugs currently utilized in practice either individually or in conjunction with other agents as part of a multimodal regimen in pain management in ACLR.
Chinese Math Word Problems Generation Network

Aiming at the feature vector bottleneck problem and the high time cost of the training process in the automatic generation of Chinese math word problems under the end-to-end architecture, we proposed an automatic generation method of Chinese math word problems based on the pre-training model combined with the integration of encoder and decoder. We used a deep neural network to model the mathematical equation sequence and Chinese keyword information, and used the stepped attention matrix to generate word problems. For training and testing on the Ape210K data set, compared with the end-to-end method, the Rouge-1 and Rouge-L evaluation indicators in our method was increased by 14.1% and 12.5%, as well as the training time cost was reduced by nearly 50%.
Intelligent Question Answering System Based on Machine Reading Comprehension

Question answering(Q&A) system is important for accelerating the landing of artificial intelligence. This paper makes an improvement on the Q&A system which uses the method of retrieval-machine reading comprehension (MRC). In the retrieval phase, we use BM25 to recall some documents and split these documents into paragraphs, then we reorder the paragraphs according to the correlation with the question, so as to reduce the number of recalled paragraphs and improve the speed of MRC. In the MRC stage, we design a multi-task MRC structure, which can judge whether the paragraph contains answer and locate answer accurately. Besides, we modify the loss function to fit the sparse labels during the training. The experiments are carried out on multiple data sets to verify the effectiveness of the improved system.
Effect of corrugated minichannel variable width on entropy generation for convective heat transfer of alpha-Alumina-water nanofluid

Energy management and sustainability in thermal systems require maximum utilization of resources with minimal losses. However, it is rarely unattainable due to the ever-increasing need for a high-performance system combined with device size reduction. The numerical study examined convective heat transfer of an alpha-Alumina-water nanofluid in variable-width corrugated minichannel heat sinks. The objective is to study the impact of nanoparticle volume fractions and flow area variation on the entropy generation rate. The determining variables are 0.005 – 0.02 volume fractions, the fluid velocity 3 – 5.5 m/s and heat flux of 85 W/cm2. The numerical results show an acceptable correlation with the experiment results. The results indicate the thermal entropy production drop with an increase in nanoparticles volume fraction. Contrastingly, the frictional resistance entropy suggests the opposite trend due to the turbulence effect on the fluid viscosity. The induction of Alumina-Water nanofluid with enhanced thermal conductivity declined the entropy generation rate compared to water alone. The increase in width ratio by 16% between the cases translates to at least a 9% increase in thermal entropy production. The outcome of this study can provide designers and operators of thermal systems more insight into entropy management in corrugated heatsinks.
Latency Aware Distributed ADMM over Networks

Methods based on the alternating direction method of multipliers (ADMM) has attracted academic attention because of its excellent convergence performance and potential application scenarios in many machine learning or optimization fields. However, classical distributed ADMM algorithm assumed ideal network communication, which do not consider the impact of network delay on computing performance. In this paper, based on the strategy of selecting bridges with lowest network latency and appropriate iterative process, we propose a latency aware distributed ADMM algorithm to alleviate the impact of network delay. The classical algorithm and proposed algorithm are tested and compared in real network scenarios. Experiments show that the proposed algorithm reduces the running time and improves the computing performance. Especially in networks with large delay, the effect is more obvious.