Miracle-dz/UniFAR-FTUs huggingface dataset:
Colonoscopy: Early Experience in National Hospital Abuja Nigeria

Colonoscopy has become one of the most important modalities in the assessment of the lower gastrointestinal lesions. This study focused on our early experience with colonoscopy documenting the indications and outcome in the first five years of Colonoscopy in National Hospital, Abuja, Nigeria. This was a retrospective analysis of demographic data, indications for colonoscopy, agents used for bowel preparation, type of anaesthesia used, endoscopic findings, and extent of colon intubation from the endoscopy unit register of National Hospital, Abuja between July 2007 and June 2012. Patients whose data were incomplete or procedure abounded were excluded. Two hundred and eleven patients had colonoscopy during the 5 year period. Only 153 patients fulfilled the inclusion criteria and their data analysed. Males were 107 (69.9%) and 46 (30.1%) were females given a male/female ratio of 2.3:1 Age range was 2years to 90years with a Mean of 48.02. The commonest indications were bleeding per rectum (33.3%), haemorrhoids (24.8%) and suspicion of malignancy of the lower gastrointestinal tracts (24.3%). The most common findings on colonoscopy in our study were haemorrhoids (47.7%) and malignancies (24.2%) of various parts of the large bowel. 12.4% of the patients had normal study. Our Ceacal intubation rate was 75.8%. Majority of the lesions were found in the Anorectal region (69.9%) with only 17.7% in the rest of the Colon 24.2% of our findings were malignancies of lower intestinal tract. 97.3% of the malignancies were Adenocarcinoma. 83.8% of the malignancies were located in the left colon. Assessment of lower gastrointestinal symptom is incomplete without colonoscopy. Colonoscopy gives a good yield in well selected patients, it is safe and has low complication rate.
Synthesis and pre-clinical evaluation of a [18F]fluoromethyl-tanaproget derivative for imaging of progesterone receptor expression

The estrogen receptor (ER) and progesterone receptor (PR) are over-expressed in ∼50% of breast cancer lesions, and used as biomarkers to stratify patients for endocrine therapy. Currently, immunohistochemical (IHC) assessment of these lesions from a core-needle biopsy in deep-sited metastases has limitations associated with sampling error and lack of standardization. An alternative solution is positron emission tomography (PET)-based probes, which are inherently quantitative and capable of imaging the entire tumor, including metastases. This work features the synthesis and biological evaluation of a novel fluorinated derivative of tanaproget, a high affinity non-steroidal PR ligand, as a candidate for imaging PR expression in vivo. Radiolabeling of the candidate was achieved in a 15% ± 4 radiochemical yield (non-decay corrected) in one step from [18F]fluoromethyltosylate in 30 min. Cell uptake studies showed a significant difference between the radioligand uptake in PR+ and PR− cell lines; however, in vivo imaging was confounded by defluorination hypothesized to occur via iminium salt formation. Investigation into high affinity, metabolically stable non-steroidal PR ligands is currently ongoing.
Allelopathic effect of invasive Canadian goldenrod (Solidago canadensis L.) on early growth of red clover (Trifolium pratense L.)

Solidago canadensis belongs to highly invasive species in Europe, it is established in ruderal, semi-natural and natural communities. To test the traits related to invasiveness, the experiment with the potential of allelopathic compounds produced by the species was conducted. The aqueous extract from the goldenrod leaves was used to examine the germination and early stages of development of Trifolium pratense, the species as an example of fodder plant common in meadows and pastures. Three types of aqueous extract were used: decoction, infusion, and macerate. All extracts of Canadian goldenrod had a negative influence on the germination process of red clover, however, the effect changed in time and type of extract. The most inhibiting influence was documented for the macerate type of aqueous extract. Similarly, the negative influence of macerate was the highest for the length and weight of the seedlings, the content of chlorophyll a and b, and electrolyte leakage. As the procedure of obtaining the macerate is the most like the process of natural extraction of allelopathic substances in nature, there is the practical conclusion to remove the moved biomass of the goldenrod during the restoration process of areas colonised by the species.
UJI ANTIOKSIDAN EKSTRAK ETANOL DAUN DAN KULIT BATANG MANGGIS Garcinia mangostana L.

Antioxidant was a compound which possessed an activity as scavenger of free radicals. This study was aimed to examine the antioxidant activity of ethanolic extract from leaves and skin barks of Garcinia mangostana. Antioxidant activity were evaluated by using DPPH method for ethanolic extract in serial concentration of 800, 400, 200 and 100ug/mL. The result found that ethanolic extract of leaves and skin barks of Garcinia mangostana showed antioxidant activity with IC50 value of 674.947 ug/mL and 565.759 ug/ml, they were eleven and ten times weaker than d-α-tocopherol (IC50 57,114 ug/mL) which were used as a control. In conclusion, EE from leaves and skin barks of Garcinia mangostana exhibited an activity as scavenger of free radicals from DPPH.
Based on the Second-stage Detection Networks to Realize Accurate Detection and Recognition For Anti-ship Missiles

The target detection and recognition technology based on deep learning has high accuracy and speed of target recognition, which is a feasible way to realize the precise strike of anti-ship missiles and the essential way for the development of intelligent combat. Based on the development background of anti-ship missile precision strike and second-stage target detection networks, this paper proposed to achieve accurate detection and recognition of ship targets through Faster R-CNN network, and suggested to achieve maritime multi-targets through Mask R-CNN network. The detection method explored and find a feasible way to achieve the precise strike of anti-ship missiles.
Influence of genetic background and dietary oleic acid on gut microbiota composition in Duroc and Iberian pigs

Background Phenotypic variability for productive and meat quality traits has been largely studied in Iberian pigs, especially in genetic selection and nutritional experiments. Complex interactions among genetic background, diet composition and gut microbiota hinder the correct assessment of each factor’s contribution on phenotypes. In order to disentangle these interactions, we evaluated changes in gut microbiota composition comparing 48 Iberian and Duroc pigs fed diets with different energy source (standard diet with carbohydrates vs sunflower oil-enriched diet with high oleic acid content). Results A higher richness was observed for Iberian pigs (p < 0.05) and compositional analysis was applied for beta-diversity, differential abundance and pairwise log-ratio analyses. We found significant differences in overall microbiota composition between breeds, and also between diets inside breeds, to a lesser extent. Differential abundance analysis revealed that Duroc animals have more proportion of Actinobacteria and Prevotella, while Iberian replace those microorganisms with other more variable taxa. According to dietary differences, high-oleic fed animals were richer in Prevotella. We also found microbial ratios capable of separating animals by breeds and diets, mostly related to Actinobacteria. Conclusion This study reveals that both genetic background and diet composition might have a relevant impact in gut microbiota composition. The application of compositional data analysis has facilitated the identification of microorganisms and ratios as possibly related to metabolic changes due to genetic background and, to a lower extent, to dietary changes. This may lead to a relevant progress in the knowledge of interactions between pig genetics, environment and gut microbiota.
Configuration of Research Culture: Investment, Process, and Norm

Research is a priority in higher education institutions. Considering that the development of research culture is highly influenced by the paradigm by which institutions operate on, this paper sought to identify the configuration of the research culture. The researcher conducted a narrative inquiry with key informants from seven reputable teacher education institutions in Region VII and coded the interview transcripts with the aid of NVIVO 11.3. 2. Using Thematic Analysis (Braun and Clarke, 2006), three overarching themes on the configuration of the research culture, with its corresponding attributes and characteristics, were identified. The results showed that the research culture consists of observable and measurable inputs and outputs that interact in internal and external dynamics that are developmental and systemic, leading to standardized and contextualized practices in a teacher education institution. Therefore, research culture is an investment, a process, and a norm as it is evidence-based, dynamic, and distinct to the academic institution.
Divergent NEE balances from manual‐chamber CO2 fluxes linked to different measurement and gap‐filling strategies: A source for uncertainty of estimated terrestrial C sources and sinks?

Manual closed-chamber measurements are commonly used to quantify annual net CO2 ecosystem exchange (NEE) in a wide range of terrestrial ecosystems. However, differences in both the acquisition and gap filling of manual closed-chamber data are large in the existing literature, complicating inter-study comparisons and meta analyses. The aim of this study was to compare common approaches for quantifying CO2 exchange at three methodological levels. (1) The first level included two different CO2 flux measurement methods: one via measurements during mid-day applying net coverages (mid-day approach) and one via measurements from sunrise to noon (sunrise approach) to capture a span of light conditions for measurements of NEE with transparent chambers. (2) The second level included three different methods of pooling measured ecosystem respiration (RECO) fluxes for empirical modeling of RECO: campaign-wise (19 single-measurement-day RECO models), season-wise (one RECO model for the entire study period), and cluster-wise (two RECO models representing a low and a high vegetation status). (3) The third level included two different methods of deriving fluxes of gross primary production (GPP): by subtracting either proximately measured RECO fluxes (direct GPP modeling) or empirically modeled RECO fluxes from measured NEE fluxes (indirect GPP modeling). Measurements were made during 2013–2014 in a lucerne-clover-grass field in NE Germany. Across the different combinations of measurement and gap-filling options, the NEE balances of the agricultural field diverged strongly (–200 to 425 g CO2-C m−2). NEE balances were most similar to previous studies when derived from sunrise measurements and indirect GPP modeling. Overall, the large variation in NEE balances resulting from different data-acquisition or gap-filling strategies indicates that these methodological decisions should be made very carefully and that they likely add to the overall uncertainty of greenhouse gas emission factors. Preferably, a standard approach should be developed to reduce the uncertainty of upscaled estimates.
Signal Modeling and Imaging of Frequency-Modulated Continuous Wave Sliding Spotlight Synthetic Aperture Ladar

Frequency-modulated continuous wave synthetic aperture ladar (FMCW-SAL) is an important remote sensing observation method. Sliding spotlight FMCW-SAL can obtain high resolution and wide observation coverage in azimuth simultaneously. This work models and simulates sliding spotlight FMCW-SAL signal. FMCW-SAL beam scanning leads to spectrum aliasing in the azimuth direction, and the linear and second-order position offset errors are introduced in the range direction. Compared with sliding spotlight FMCW synthetic aperture radar (SAR), the linear position offset error is more serious and must be corrected. However, there is no linear position offset correction in previous research studies in sliding spotlight FMCW-SAR. An improved sliding spotlight FMCW-SAL imaging algorithm is proposed for the above problems here. This algorithm includes two new phase compensation factors, which can remove Doppler ambiguity and correct first-order, second-order position offset errors in range simultaneously. Simulation experiments verify the effectiveness of the signal model and the imaging algorithm.
Self-compassion helps people forgive transgressors: Cognitive pathways of interpersonal transgressions

ABSTRACT This study examined the psychological processes through which self-compassion relates to forgiveness of interpersonal transgressors. Specifically, this study focused on the mediating roles of rumination about interpersonal transgressors and subjective temporal distance from interpersonal transgressions. After completing a measure of self-compassion, participants recalled a time when they were hurt by others. Then, they responded to measures including subjective temporal distance, rumination, and forgiveness. A path model showed that self-compassion was associated with greater subjective temporal distance, lower revenge, and lower avoidance through lower rumination. In addition, self-compassion positively predicted benevolence. Results implied that people with high self-compassion may be less likely to ruminate, which may help them feel greater temporal distance from past interpersonal transgressions and forgive transgressors.
Māori whānau talk about whānau success: Findings from Round 1 of Ngā Tau Tuangahuru—the Māori and Pacific Education Initiative (MPEI) longitudinal study

From 2009 to 2014 Foundation North, a philanthropic trust serving Auckland and Northland, funded a Māori and Pacific Education Initiative (MPEI) designed to facilitate Māori and Pacific students’ educational achievement. The longitudinal study, Ngā Tau Tuangahuru, described here was funded in late 2014 to explore what happened next for families and students who had been involved in MPEI initiatives, with a focus on family success and student educational success. The first data collection round of this study took place in 2017, and 69 families were interviewed. This article examines what the 35 Māori whānau (56 individuals) said about family success and about supporting the success of young people in their whānau. For many whānau, success embodied happiness, collective wellbeing, and good whānau relationships, alongside education and having a plan for the future. This success was most often hampered by financial restrictions. Whānau wanted young people to be achieving in education, working hard, and engaged in extracurricular activities. Getting distracted by outside influences (e.g., social media) was seen as the main barrier to young people’s success. Implications from this study for the evaluation of initiatives designed to support whānau success are presented.
A new interstitial genus and species of Acrocirridae from Okinawa-jima Island, Japan

A new interstitial acrocirrid, Actaedrilus yanbarensis gen et. sp. nov., is described from Okinawa-jima Island, Japan. Individuals of the new genus and species were collected from the interstices of subtidal coarse sand (about 1 m depth). The new genus is comprised of the new species and A. polyonyx (Eliason, 1962) comb. nov. and it is characterized by the presence of two pairs of long branchiae, non-retractile head, minute body, and short club-shaped palps. We infer the phylogenetic position of A. yanbarensis gen. et sp. nov. within Acrocirridae using five gene markers (COI, 16S, 18S, 28S, Cyt B).
Attribute accessibility, normative influence, and the effect of classical and country music on willingness to pay for social identity and utilitarian products

Previous studies indicate that background classical music is associated with customers in retail and leisure premises being prepared to pay more for various products and services. This online experiment tests whether these effects are due to music increasing the salience of valued product attributes (attribute accessibility hypothesis) or to a demand characteristic wherein music implies a norm to purchase expensive items (normative behavior hypothesis). A 3 (type of music—classical, country, no music, between subjects) × 2 (type of product—social identity or utilitarian, within subjects) × 2 (high vs. low incentive for accuracy, between subjects) mixed design was used in which participants stated the specific amount they would be prepared to pay for 30 products using free-choice format. Results showed a Music × Type of Product interaction, such that preparedness to spend was higher in the classical music condition but only in the case of social identity products. This is more consistent with the attribute accessibility hypothesis than the normative behavior hypothesis, and various commercial and practical consequences of these findings are discussed.
Adapting to Teaching and Learning During Covid-19: A Case of Islamic School's Initiative of Self-regulated Learning

This study aims to analyze self-regulated learning in Islamic education amid the Covid-19 pandemic. This study incorporates a qualitative approach to understand self-regulated learning at Miftahul Ulum Islamic High School, East Java. The data collection techniques consist of teachers' interviews, teaching and learning observation, and documentation. The results showed that implementing self-regulated learning during the Covid 19 pandemic was carried out online through activities, analysis of learning conditions, determining the learning design, applying strategies, and evaluation. Despite challenges, online self-regulated learning facilitates Miftahul Ulum Islamic School students to participate in learning activities during the Covid-19 Pandemic.
Specifics of logit and probit regression in education sciences - why wouldn't we use it?

Regression is one of the dominant analysis methods used in the social sciences and educational sciences. There are different regression methods based on the type of research that is being conducted. The probit and logit regression models are regression methods which are being used recently by most researchers. However, their interpretations are not straightfoward and most researchers end up misinterepreting the results from the probit and logit regression models. This research therefore aims to examine the differences between the probit and logit models, in comparison with other linear regression models. Using a comparative research design, this study utilises resources from previous researchers, hence, the study took a form of a literature review. The results of this study is essential to educational and social sciences researchers who make use of the probit, logit and other regression methods. The research also explains why logit and probit should be used in place of other regression models.
Convolutional Neural Networks with Transfer Learning for Recognition of COVID-19: A Comparative Study of Different Approaches

To judge the ability of convolutional neural networks (CNNs) to effectively and efficiently transfer image representations learned on the ImageNet dataset to the task of recognizing COVID-19 in this work, we propose and analyze four approaches. For this purpose, we use VGG16, ResNetV2, InceptionResNetV2, DenseNet121, and MobileNetV2 CNN models pre-trained on ImageNet dataset to extract features from X-ray images of COVID and Non-COVID patients. Simulations study performed by us reveal that these pre-trained models have a different level of ability to transfer image representation. We find that in the approaches that we have proposed, if we use either ResNetV2 or DenseNet121 to extract features, then the performance of these approaches to detect COVID-19 is better. One of the important findings of our study is that the use of principal component analysis for feature selection improves efficiency. The approach using the fusion of features outperforms all the other approaches, and with this approach, we could achieve an accuracy of 0.94 for a three-class classification problem. This work will not only be useful for COVID-19 detection but also for any domain with small datasets.
CLOCK 3111TT Genotype Is Associated with Increased Total Cholesterol and Low-Density Lipoprotein Levels in Menopausal Women with a Body Mass Index of at Least 25 kg/m2

Lipid profile comparative analysis was performed to reveal the interdependence of lipids with Circadian locomoter output cycles protein kaput (CLOCK) 3111T/C gene polymorphism in menopausal women with/without a body mass index (BMI) of ≥25 kg/m2. Methods: A total of 193 female volunteers aged 45 to 60 years were divided into two groups: Those with BMI < 25 kg/m2 (control) and those with BMI ≥ 25 kg/m2. Each group was then divided into two subgroups: Those with the CLOCK TT-genotype and those with the CLOCK TC-, CC-genotypes. Lipid metabolism parameters were determined by the enzymatic method. Single-nucleotide polymorphisms (SNPs) were detected via polymerase chain reaction–restriction fragment length polymorphism technology. Results: There were no differences in CLOCK 3111T/C genotypes or allele frequency between the control and main groups. In addition, there were no differences in lipid profile parameters between women of the control group and different CLOCK 3111T/C genotypes. The total cholesterol (p = 0.041) and low-density lipoprotein cholesterol (p = 0.036) levels were higher in the subgroup of women with a BMI ≥ 25 kg/m2 and CLOCK TT-genotype as compared to the subgroup with a BMI ≥ 25 kg/m2 and minor allele 3111C. Conclusions: SNP 3111T/C of the CLOCK gene is not associated with BMI however, data suggest that the minor allele of the CLOCK 3111T/C gene polymorphism may have a protective role in atherogenic lipid levels in women with a BMI greater than or equal to 25 kg/m2.
Sentiment analysis of tokopedia application review to service product recommender system using neural collaborative filtering for marketplace in Indonesia

Tokopedia is one of the leading e-commerce companies in Indonesia and ranks second in the top 10 e-commerce in Indonesia in 2018 based on Statista data. Large companies like Tokopedia need to find out what users think of the products or services offered. User opinions on the Tokopedia application can be seen in the review column on the Google Play Store, but processing a review is not easy. To overcome this we need a sentiment analysis method or technique. Sentiment analysis is performed using the Naive Bayes algorithm. The results of positive sentiments obtained are used as a reference to maintain service quality and the results of negative sentiments can be used as an evaluation material in improving Tokopedia services and applications.