Miracle-dz/UniFAR-FTUs huggingface dataset:
Identify the Significant Hypostatic or Epistatic Effect Between the Various SNPs of LDLR gene through SNP-SNP Interaction and Haplotype Analysis - A Case Control Study

The coronary artery disease (CAD) is a leading cause of the morbidity and mortality worldwide and has also become a major public health burden in India in recent decades. The LDLR gene mutations have been reported associated with familial CVD and are one of the main risk factors for developing coronary artery disease (CAD). In the present study using the contingency chi-square test, statistically significant differences were observed between the CAD cases and matched healthy controls in the distribution of the genotypes of four out six SNPs investigated viz., rs688C>T (p=0.0031), rs1529729C>T (p=0.0001), rs5925G>A (p=0.006) and rs72658855C>T (p=0.0349). This suggested that these four SNPs are associated with CAD in the present material studied from Bangalore. SNP-SNP interaction analysis revealed statistically significant hypostatic effect of rs688-rs2228671 combination, while rs688-rs72658855 combination showed statistically significant epistatic effect and the haplotype analysis demonstrated decreased (protective) risk of statistically significant association of TATCC, CGTCC and TACCT with CAD. Further studies from different regions of the country are required to validate the present findings relating the association of genomic variants of LDLR gene with the susceptibility to CAD in people of India. Key words: CAD-coronary artery disease; LDLR-low-density lipoprotein receptor; SNP-SNP interaction; Haplotype analysis; OR-odds ratio; CI-confidence interval .
Focused crawling strategies based on ontologies and simulated annealing methods for rainstorm disaster domain knowledge

At present, focused crawler is a crucial method for obtaining effective domain knowledge from massive heterogeneous networks. For most current focused crawling technologies, there are some difficulties in obtaining high-quality crawling results. The main difficulties are the establishment of topic benchmark models, the assessment of topic relevance of hyperlinks, and the design of crawling strategies. In this paper, we use domain ontology to build a topic benchmark model for a specific topic, and propose a novel multiple-filtering strategy based on local ontology and global ontology (MFSLG). A comprehensive priority evaluation method (CPEM) based on the web text and link structure is introduced to improve the computation precision of topic relevance for unvisited hyperlinks, and a simulated annealing (SA) method is used to avoid the focused crawler falling into local optima of the search. By incorporating SA into the focused crawler with MFSLG and CPEM for the first time, two novel focused crawler strategies based on ontology and SA (FCOSA), including FCOSA with only global ontology (FCOSA_G) and FCOSA with both local ontology and global ontology (FCOSA_LG), are proposed to obtain topic-relevant webpages about rainstorm disasters from the network. Experimental results show that the proposed crawlers outperform the other focused crawling strategies on different performance metric indices.
Enhancing Learning and Teaching with Technology: What the research says

Bringing together researchers, technologists and educators, the book explores how technology can best be designed and used for learning and teaching. It addresses what research says about: • how and why learning happens, and how different technologies can enhance it • engaging all learners through technology and helping them benefit from it • how technology can support teaching. An accessible introduction to learning and teaching with technology for teachers and other educational professionals, whatever their experience with using technology for education.
Investigating how COVID‐19 has challenged the Eurocentric concept of ‘development’: a case for sustainable food systems in the UK

Abstract The COVID‐19 health crisis has imposed extensive shocks to many global systems, particularly the UK food production chains, further challenging Eurocentric development discourses and stereotypes. Thus, this paper investigates how the pandemic has challenged the UK's development status by analysing how the pandemic has impacted the country's food industry. A literature review was conducted and used to identify, select and critically appraise publications between 2000 and 2021 discussing the challenges in the UK food system. The findings reveal that the UK's food industry is unsustainable as there are significant flaws in the system, that is food insecurity and food waste that go unaddressed. The impact of the pandemic has exacerbated the social and economic impacts of operating with such a system. Compounded with the geopolitical adjustments caused by Brexit, the UK is faced with the challenge of restructuring and developing new frameworks such as policies, regulations, schemes and partnerships to support the food industry's sustainability. Lastly, the findings reinforce that ‘developed’ and ‘developing’ nations encounter similar food challenges, which manifest differently in various landscapes and contexts. Therefore, the world (not just the UK) needs to shift away from Eurocentrism, moving towards a universal but equally personalised development outlook. This review provides an outline of the major problem areas in the UK food system and presents potential solutions aimed at helping guide the government's decision‐making process.
Therapeutic Inertia in the Management of Psoriasis: A Quantitative Survey Among Indian Dermatologists and Patients

Purpose The primary objective of the study was to understand the therapeutic inertia in treatment and management of plaque psoriasis among dermatologists, along with determining the preferred treatment choices for management of plaque psoriasis; it also included the resulting treatment satisfaction among patients. The secondary objective was to identify the gaps in terms of knowledge and attitude among dermatologists and the expectations of patients. Patients and Methods A multicentre, cross-sectional quantitative survey was conducted among dermatologists and patients with moderate to severe plaque psoriasis across India. The interviews were conducted either face to face or via telephone between September and November 2020, using structured and validated questionnaires based on specific themes. The data obtained were statistically analysed, wherever applicable. Results Overall, 207 adult patients with moderate-to-severe plaque psoriasis and 303 dermatologists were interviewed. Post experiencing symptoms, 44% of the patients visited general physicians for treatment and there was an average 7.8-month delay by the patients to consult a dermatologist. Approximately one-fourth of patients used home remedies before seeking medical help. One-third of dermatologists used the Psoriasis Area and Severity Index (PASI) for assessing the disease severity. Majority of dermatologists preferred combination therapy for their patients. The lack of quick resolution and side effects were the major reasons for changing the treatment. Overall, only 35% of the patients complied to current treatment. Satisfaction with existing forms of therapies was highest for mild plaque psoriasis (62%) as confirmed by dermatologists, while 52% of the overall patients were satisfied with their therapy. Majority of the patients (64%) affirmed living with plaque psoriasis impacted their lives. Conclusion This first-of-its-kind survey in India highlighted the gaps in terms of the disease journey between dermatologists and patients. The survey emphasises the need for shared decision-making and may benefit dermatologists in suggestive modifications of the treatment algorithm and disease management in clinical settings.
Antenna-on-chip integration in mainstream silicon semiconductor technologies

The mobile data traffic is rapidly increasing. Several bands have been identified in the millimetre-wave spectrum that could be used to support the expected average smartphone traffic of 6.8 GB in 2021. Due to the short wavelength at those frequencies, the antennas can and should be integrated together with the front-end electronics. This paper provides an overview of integration approaches developed at the Centre for Wireless Technology Eindhoven. Moreover, it provides a comparison of the presented concepts in terms of performance and relative cost. The conclusion is drawn that in-package antennas seem to be the best integration approach for frequencies considered for 5G and a general guideline is provided for frequencies beyond 5G.
Applying a Neural Network-Based Machine Learning to Laser-Welded Spark Plasma Sintered Steel: Predicting Vickers Micro-Hardness

This paper presents an artificial neural network (ANN) approach to the estimation of the Vickers hardness parameter at the weld zone of laser-welded sintered duplex stainless steel. The sintered welded stainless-steel hardness is primarily determined by the sintering conditions and laser welding processing parameters. In the current investigation, the process parameters for both the sintering and welding processes were trained by ANNs machine learning (ML) model using a TensorFlow framework for the microhardness predictions of laser-welded sintered duplex stainless steel (DSS 2507 grade). A neural network is trained using a thorough dataset. The mean absolute error (MAE), mean square error (MSE), root mean square error (RMSE), and R2 for the train and test data were calculated. The predicted values were in good agreement with the measured hardness values. Based on the results obtained, the ANN method can be effectively used to predict the mechanical properties of materials.
RuleFit-Based Nomogram Using Inflammatory Indicators for Predicting Survival in Nasopharyngeal Carcinoma, a Bi-Center Study

Purpose Traditional prognostic studies utilized different cut-off values, without evaluating potential information contained in inflammation-related hematological indicators. Using the interpretable machine-learning algorithm RuleFit, this study aimed to explore valuable inflammatory rules reflecting prognosis in nasopharyngeal carcinoma (NPC) patients. Patients and Methods In total, 1706 biopsy-proven NPC patients treated in two independent hospitals (1320 and 386) between January 2010 and March 2014 were included. RuleFit was used to develop risk-predictive rules using hematological indicators with no distributive difference between the two centers. Time-event-dependent hematological rules were further selected by stepwise multivariate Cox analysis. Combining high-efficiency hematological rules and clinical predictors, a final model was established. Models based on other algorithms (AutoML, Lasso) and clinical predictors were built for comparison, as well as a reported nomogram. Area under the receiver operating characteristic curve (AUROC) and concordance index (C-index) were used to verify the predictive precision of different models. A site-based app was established for convenience. Results RuleFit identified 22 combined baseline hematological rules, achieving AUROCs of 0.69 and 0.64 in the training and validation cohorts, respectively. By contrast, the AUROCs of the optimal contrast model based on AutoML were 1.00 and 0.58. For overall survival, the final model had a much higher C-index than the base model using TN staging in two cohorts (0.769 vs 0.717, P<0.001; 0.752 vs 0.688, P<0.001), and showing great generalizability in training and validation cohorts. The two models based on RuleFit rules performed best, compared with other models. As for other endpoints, the final model showed a similar trend. Kaplan–Meier curve exhibited 22.9% (390/1706) patients were “misclassified” by AJCC staging, but the final model could assess risk classification accurately. Conclusion The proposed final models based on inflammation-related rules based on RuleFit showed significantly elevated predictive performance.
Research on Institutional Investors and Executive Compensation Stickiness Based on Fixed Effect Model: A Case Study of Chinese Listed Companies

Based on the relevant data of Chinese A-share listed companies from 2014 to 2018, this paper studies the relationship between institutional investors and executive compensation stickiness by using Excel and Stata15.0 software. By fixed effect model, the results show that the sensitivity of executive compensation to performance of listed companies in China is asymmetric, which means there is a sticky characteristic of executive compensation. With the continuous development of China capital market, institutional investors will significantly inhibit the stickiness of executive compensation; in addition, according to the degree of pressure sensitivity, institutional investors can be divided into bias-pressure-resistant institutional investors and bias-pressure-sensitive institutional investors, and the former has a stronger inhibition effect on executive compensation stickiness than the latter. Therefore, the participation of institutional investors can optimize the executive compensation system, thus further promoting the implementation of contract theory and the development of enterprises.
Pc ii : symbiotic star or planetary nebula ?

Objet classe nebuleuse planetaire (PK 331-5°1) par Perek et Kohoutek (1967). Des observations photographiques, spectrophotometriques et spectroscopiques de PC11 ne confirment pas le fait qu'il pourrait s'agir d'une etoile symbiotique, mais suggerent qu'il s'agit d'une jeune nebuleuse planetaire
Cervicovaginal Microbiota Composition in Chlamydia trachomatis Infection: A Systematic Review and Meta-Analysis

In healthy women, the cervicovaginal microbiota is characterized by the predominance of Lactobacillus spp. , whereas the overgrowth of anaerobic bacteria leads to dysbiosis, known to increase the risk of acquiring genital infections like Chlamydia trachomatis. In the last decade, a growing body of research has investigated the composition of the cervicovaginal microbiota associated with chlamydial infection via 16s rDNA sequencing, with contrasting results. A systematic review and a meta-analysis, performed on the alpha-diversity indices, were conducted to summarize the scientific evidence on the cervicovaginal microbiota composition in C. trachomatis infection. Databases PubMed, Scopus and Web of Science were searched with the following strategy: “Chlamydia trachomatis” AND “micro*”. The diversity indices considered for the meta-analysis were Operational Taxonomic Unit (OTU) number, Chao1, phylogenetic diversity whole tree, Shannon’s, Pielou’s and Simpson’s diversity indexes. The search yielded 425 abstracts for initial review, of which 16 met the inclusion criteria. The results suggested that the cervicovaginal microbiota in C. trachomatis-positive women was characterized by Lactobacillus iners dominance, or by a diverse mix of facultative or strict anaerobes. The meta-analysis, instead, did not show any difference in the microbial biodiversity between Chlamydia-positive and healthy women. Additional research is clearly required to deepen our knowledge on the interplay between the resident microflora and C. trachomatis in the genital microenvironment.
Secure VLC for Wide-Area Indoor IoT Connectivity

For Internet of Things (IoT) connectivity, visible light communication (VLC) can play an important role, compared to traditional radio frequency (RF) communication. VLC does not interfere with existing RF communication, and the frequency spectrum is unregulated. Additionally, in an indoor area, VLC can provide secure communication. This study proposes an authentication-based framework that enhances security at the user end. In addition, we have modified the multiple pulse position modulation (MPPM) to map digits and send particulate matter (PM) data in broad area coverage. To reduce communication channel usage, we take the difference between two consecutive values instead of sending the whole value, which enables us to transmit the same volume of data in fewer optical signals using the proposed modulation. The comparative analysis result shows that the proposed modulation can transmit PM data more efficiently than other modulation techniques. We also provided delay analysis for proper synchronization for connectivity between nodes. The modulation was tested in the case of multihop connectivity to send data on long distance about 36 m in real time.
MODERN ONLINE INSTRUMENTS OF INTERACTIVE EDUCATION AS TECHNOLOGY OF COOPERATION

One of the decisive directions for solving problems of improving the quality of education is the development of pedagogical systems and their components, the use of new approaches and teaching methods, which are implemented in close interaction with the latest information technologies. Increasing the motivation of students, involving them in interaction within the educational process, can improve the quality of education, develop the necessary competencies. It is proved that interactive learning technologies have great educational and development potential, provide maximum activity of the participants in the educational process, optimal training time and its effectiveness. The article highlights the essence of innovative educational technologies, examines the peculiarities of pedagogical technology "learning in cooperation" as an integral part of the personality-oriented approach in teaching. It was analyzed author's research about training in cooperation with the use of computer technology. The article describes the structure of conducting classes in the form of training in cooperation, the stages of teaching communication, didactic conditions that can provide an effective organization of the stages of learning communication, taking into account the specifics of the learning process. The possibilities of using online tools of interactive learning for the implementation of educational cooperation are demonstrated. The possibilities of using online tools and resources that allow organizing cooperation during the educational process are analyzed. The stages and directions of cooperation with the use of online services are considered. An overview of the tools was carried out and examples of their application were prepared at all stages of the educational process. The advantages of using the described services are demonstrated. DOI: https://doi.org/10.28925/2414-0325.2018. 4.3343
Circularly Polarized Leaky-Wave Antenna Based on Low-Loss Transmission Line

A leaky-wave antenna with circular polarization property is proposed in millimeter-wave band, which can be applied in the wireless communication systems and remote sensing. The radiation is produced by the periodic patches on both sides of the dielectric slab of the antenna based on a low-loss planar Goubau line structure. The circular polarization unit cell of this antenna is made of two pairs of H-shaped patches, orthogonally set on each side of the dielectric substrate, which can efficiently reduce the cross polarization. This antenna is excited by a central strip line on the upper surface of the slab, removing the ground of the traditional microstrip structure, to reduce the loss of the antenna. The circular polarization property is achieved by optimizing the size and the distribution of the radiation unit cell and the structural periodicity. The radiation performance of this antenna is analyzed by CST simulation, which shows that the overlapping bandwidth of this antenna for 3 dB axial ratio with S11 < −10 dB is about 5.3%, with cross polarization 23 dB lower than copolarization. The simulated maximum directivity is l5.5 dBi with efficiency over 90% during the whole band.
Magnetic interactions in the ludwigite Ni 2 FeO 2 BO 3

We present an investigation of the magnetic properties of the ludwigite ${\mathrm{Ni}}_{2}{\mathrm{FeO}}_{2}{\mathrm{BO}}_{3}$. This material is an oxyborate that presents in its crystalline structure subunits in the form of walls where the transition metal ions are located. Our M\"ossbauer, ac susceptibility, and magnetization measurements show that Fe and Ni ions form two independent subsystems in this material down to ${T}_{N}=15$ K. We explain this behavior in terms of a hierarchy of interactions.
Platform technologies for automated bioprocess development

The development of production processes in biotechnology is a time and resource intensive task due to the vast design space to be screened. Therefore, processes are commonly performed at a local optimum. Within the past two decades, miniaturization, parallelization and automation of laboratory work have improved significantly and researchers are now able to carry out thousands of experiments per week in automated facilities. In many cases there is a disagreement between the results of small-scale experiments and data from the production scale due to the different conditions, in which the cells are cultivated. Laboratory scale experiments are often performed as batch cultures in complex media without any instrumentation, while the production processes run under fed-batch conditions in instrumented bioreactors. This discrepancy may result in multiple rounds of experiments, until a feasible strain for scale-up is identified. Therefore, cultivation conditions should be kept consistent throughout the developmental line. In this work, platform technologies for consistent bioprocess development are presented in the form of three publications. First, a novel dissolved oxygen sensor for screening facilities was developed, which can determine the aeration level of cultures grown in 96well plates that are transported from the incubator to the plate reader. The long response time (t90) of 9.7 min allows an estimation of the oxygenation status during incubation. The sensor detected oxygen limitation in fed-batch cultures of E. coli and S. cerevisiae. In the second part, a workflow for rapid cell lysis buffer optimization using design of experiments (DoE) is presented. Experiments were planned with a DoE software and written as worklists for the liquid handling robot into a laboratory information management system (infoteam iLab-Bio). In three experimental runs, a lysis buffer composition for efficient release of beta-galactosidase from E. coli was determined. The product formation profile of yeast strains was evaluated using parallel fed-batch cultures at the millilitre-scale in the third part. For comparison, A-stat cultivations in a 1.5 L bioreactor were performed, which showed comparable product formation rates. Using these platform technologies, a framework for streamlined experimental planning, execution and data management can be established.