Miracle-dz/UniFAR-FTUs huggingface dataset:
The luminosities of horizontal branches and RR Lyrae stars in globular clusters

We have utilized the latest stellar models of the Y 2 (Yonsei-Yale) collaborators and color-magnitude diagrams of globular clusters to infer ages and absolute magnitudes of their horizontal branches (HB). The intrinsic (B — V) color indices of the turn-offs, (B — V)"Q°, of the globular clusters were used to find ages. For 47 clusters that appear to be coeval (within ±0.7 Gyr), we find an average age of 12.5 Gyr. We adopt this age and infer the absolute magnitudes of the turn-offs, My°, from the clus ters [Fe/H] values. The absolute magnitude of the horizontal branches or RR Lyrae stars are then determined from the difference between the ap parent magnitudes of the horizontal branches (or RR Lyrae stars) and the apparent magnitude of the turn-offs, V T °. We conclude: 1) The slope of the Mv(HB), [Fe/H] relation is ~0.3 for clusters with [Fe/H] values be tween —0.5 to —1.5. The relation has zero slope for [Fe/H] values smaller than -1.5. 2) For [Fe/H] < -1.3, the M V (EB) or M v values of RRLyrae stars are not only a function of [Fe/H], but the horizontal-branch type in the sense that the clusters with the blue horizontal branches have more luminous horizontal branches than clusters with red horizontal branches. The same results are found by inferring the luminosities of the HBs from pulsating blue stragglers.
Longitudinal Effects on Metabolic Biomarkers in Veterans 12 Months Following Discharge from Pharmacist-Provided Diabetes Care: A Retrospective Cohort Study

Clinical pharmacist interventions have resulted in optimized diabetes control in complex patients; however, there are no studies examining the durability of achieved outcomes after patients discontinued being seen by the pharmacist. A pharmacist-led comprehensive medication management (CMM) Diabetes Intensive Medication Management (DIMM) “tune up” clinic provided the opportunity to evaluate long-term glycemic control outcomes following clinical discharge. This study used a retrospective cohort study design with a matched primary care provider (PCP) comparison group. Outcomes were compared between the groups at several post-discharge intervals (6, 9, and 12 months) using independent t tests and chi-square tests, where appropriate. DIMM-managed patients achieved an average HbA1c reduction of 3% upon discharge, and maintained an average HbA1c concentration that was significantly lower than PCP-managed patients at 6 months (p < 0.001) and 9 months (p = 0.009) post-discharge. Although DIMM-managed patients had lower HbA1c than PCP-managed patients at 12 months post-discharge, the difference was not significant (p = 0.105). Similar findings were noted for average FPG and LDL across the study time points. No differences in average HDL levels were reported across the time points. A significantly larger proportion of DIMM-managed patients maintained HbA1c < 8% compared to PCP-managed patients at 6 months (67.5% versus 47.2%, p = 0.001) and 9 months (62.6% versus 40.6%, p = 0.040) post-discharge; DIMM-managed patients had a larger, but non-significant, proportion of goal retention compared to PCP-managed patients at 12 months (56.9% versus 47.2%, p = 0.126) post-discharge. Similarly, a significantly larger proportion of DIMM-managed patients sustained HbA1c < 9% compared to PCP-managed patients at 6 months (87.8% versus 66.7%, p < 0.001) and 9 months (82.1% versus 68.3%, p = 0.012) post-discharge; however, there was no significant difference at 12 months. The attenuation of the DIMM-managed metabolic biomarkers suggests that an additional follow-up visit or touchpoint may be helpful. The personalized care of the DIMM “tune up” approach was successful in achieving sustained glycemic control for up to 9 months. Outcomes can help inform future long-term result durability evaluations.
Small-Signal Stability Assessment of Heterogeneous Grid-Following Converter Power Systems Based on Grid Strength Analysis

The increasing penetration of renewable resources into the power network through grid-following converters has increased the risks of small-signal instability resulting from the interaction between the converters and the power network. It is challenging to assess the small-signal stability in a power system with high penetration of renewable resources due to the complex interaction between a large number of grid-following converters and the power network. Moreover, the assessment complexity is further increased in a heterogeneous multi-converter system, where the interconnected converters have different control configurations or parameters from different manufacturers. To tackle such challenges, this paper proposes a method for assessing the small-signal stability in a heterogeneous multi-grid-following-converter system based on grid strength analysis. It is first theoretically proved that the small-signal stability of a heterogeneous multi-grid-following-converter system can be characterized by an equivalent homogeneous one, where all interconnected grid-following converters have the same control configurations and parameters. The equivalent homogeneous system can be decoupled into a set of subsystems for reducing the complexity of the small-signal stability assessment of the original heterogeneous system. On this basis, it is derived that the small-signal stability and stability margin of the heterogeneous system can be estimated based on the generalized short-circuit ratio (gSCR), and the critical gSCR (CgSCR). As a result, a gSCR-based method is proposed for assessing the small-signal stability of heterogeneous multi-converter systems. The efficacy of the proposed method is validated by both modal analysis and electromagnetic transient simulations on two heterogeneous multiple-converter systems with different network topologies and a large-scale practical power system.
Groupe de Galois local des équations aux q-différences irrégulières

Le but de cette these est d'etudier des equations aux q-differences irregulieres et d'obtenir des descriptions matricielles explicites du groupe de Galois local. La description du groupe de Galois local des equations a pentes entieres est due a Ramis et Sauloy, elle s'est faite grâce a l'etude de la classification analytique locale par Ramis, Sauloy et Zhang, qui a conduit a la forme normale de Birkhoff-Guenther, et grâce a la comprehension du phenomene de Stokes pour les equations aux q-differences. Sur la base des travaux de van der Put et Reversat sur les formes normales des modules purs isoclines a pentes non entieres, nous poursuivons la classification analytique locale des modules aux q-differences. Le premier theoreme de cette these concerne le cas a deux pentes non necessairement entieres : nous obtenons un isomorphisme entre l'espace des classes analytiques isoformelles et un quotient d'un espace des matrices a coefficients polynomiaux. Par le calcul de cocycles explicites dans le cas a deux pentes, nous obtenons egalement un isomorphisme entre l'espace des classes analytiques a deux pentes et le premier groupe de cohomologie du fibre associe. A partir de ces cocycles, nous calculons des operateurs de Stokes, qui s'averent galoisiens, pour les modules aux q-differences a deux pentes. Un des principaux theoremes en theorie de Galois de cette these est la description matricielle explicite du groupe de Galois local formel, defini par voie tannakienne. Ce theoreme et le lien que l'on etablit entre les operateurs de Stokes que l'on a calcules et ceux de Ramis et Sauloy pour les pentes entieres, nous permettent de construire un sous-groupe Zariski-dense du groupe de Galois local des equations aux q-differences dont le denominateur des pentes est fixe.
Banana starch intervention ameliorates diabetes-induced mood disorders via modulation of the gut microbiota-brain axis in diabetic rats

ABSTRACT Bananas (Musa spp.) enriched in resistant starch displayed multiple health benefits for diabetes. Here, we showed that banana starch administered to diabetic rats improved animal depressive-like behaviours of mood disorders. Four weeks of banana starch diet to high-sugar, high-fat, and STZ-induced diabetic rats lowered their blood insulin resistance, but increased their plasma HDL cholesterol and 5-HT levels, compared to the control groups of rats. The banana starch diet reconstructed the gut microbiota and increased their metabolite of butyrate, as well as increased the activity of superoxidase in diabetic rats. Furthermore, Banana starch intervention significantly increased the exhaustion time of the diabetic rats, and almost restored it to the normal state of control groups in their swimming and tail suspension tests. Together, our results indicated the modulation of the gut-microbiota-brain axis as a possible mechanism that enables the banana starch diet as a potential therapeutic way for diabetes-associated mood disorders.
‘It is Really Important That We Sometimes Remember the Children and Their Views Rather than Just Our Own’: The Presentation and Representation of Children’s Views in the Child Protection Conference

In the UK, children are entitled to have their views, wishes and feelings conveyed to a child protection conference in person or through professional representation. This paper presents findings from a qualitative study undertaken in a local authority in England which explored perspectives of attending a conference in person and investigated how children’s views were represented when they were absent. Findings emerged through interviews with four children, focus groups conducted with four social workers and four conference Chairs, and case record analysis of reports submitted to and generated in child protection conferences for twenty-eight children. Three interrelating discourses of childism, participation and autonomous professional practice emerged within an overarching conceptualisation of power and generational ordering. The findings support contemporary understandings of the privileging of protection rights over participatory rights within child protection practices and add to the limited international evidence base concerning the extent to which young children can express their views, wishes and feelings. They also suggest a need to evaluate the impact of strengths-based practice frameworks, and approaches for assessment and recording practices that promote authentic participation for children across all age ranges.
Treemap Visualization: A Hierarchical Method to Discover User Profiles on Twitter

People use microblogging platforms like Twitter to involve with other users for a wide range of interests and practices. Twitter profiles run by different types of users such as humans, bots, spammers, businesses and professionals. This research uses a treemap visualization to identify different users profile on Twitter. For this purpose, we exploit users' profile and tweeting behavior information. We evaluate our approach by visualizing the different Twitter profiles. This treemap visualization technique can be used to identify easily the different users’ profile in a wide range of users. We focus just on user activity, ignoring the content of messages. We take into consideration both social interactions and tweeting patterns, which allow us to profile users according to their activity patterns using treemaps.
On Some Simple Estimates of an Exponent of Regular Variation

SUMMARY We present a class of simple estimates of an exponent of regular variation. Unlike those proposed recently by de Haan and Resnick (1980), ours converge at an algebraic rather than a logarithmic rate, and unlike those considered by Teugels (1980), their form does not depend on the unknown exponent.
Design of Rotated Surface Coil Array for Multiple-Subject Imaging at 400 MHz

Multiple-subject magnetic resonance imaging (MRI) has been used in phenotyping studies to reduce the total experimental time by simultaneously capturing images of multiple animals using single or multiple radio frequency (RF) coils. However, conventional methods must consider using decoupling circuits to minimize the mutual inductance coupling between RF coils. These decoupling circuits unnecessarily increase the field of view (FOV) and image acquisition times. In this study, we propose a rotated surface (RS) coil that can generate a uniformly transmitted magnetic field (|B1+|) and minimize the distance between the coils when used for multiple-animal imaging without decoupling circuits. The RS coil was designed using electromagnetic (EM) simulation software, and the rotation angle, which creates a uniform |B1+|-component, was derived by mathematical calculations. We compared the |B1+|-component uniformity produced by RS coils with different rotation angles and a 4-leg high-pass filter birdcage coil (HBC) in multiple-coil arrays at the same location using EM simulations. The RS coil displayed greater than 94% and 84% uniformity when used as a single-channel and multiple-coil array in the central axial plane, respectively. Following the EM simulations, a multiple-mice RS coil array was manufactured, and a bench test was performed to ensure its operation at 400 MHz and for coupling analysis. T1-FLASH images of the four phantoms and mice were acquired using a multiple RS coil array in a 9.4-T pre-clinical MR system. The signal-to-noise ratio (S/N) and uniformity were measured using the phantom images.
Deep CNN-LSTM Network for Indoor Location Estimation Using Analog Signals of Passive Infrared Sensors

Indoor localization is a crucial component of IoT applications in many areas, such as healthcare, energy management, and security control. Passive infrared (PIR) sensor has been employed for a location estimation due to its cost effectiveness, low power consumption, and low electromagnetic interference. Compared with its binary output, PIR analog output which is an output voltage generated by a PIR sensor when its sensing elements detect changes in temperature in an environment can provide more information regarding a person’s location. However, only a few works focus on using analog signals for location estimation. During the past several years, deep learning approaches have emerged and achieved outstanding results in many applications. In this article, we harness the power of deep learning and propose a deep CNN-LSTM architecture for PIR-based indoor location estimation. In our architecture, an upper CNN network can extract features from PIR analog output automatically while a lower LSTM network can learn temporal dependencies between the extracted features. To evaluate the feasibility and performance of our proposed method, we conduct four different sets of experiments. Our results show that the proposed method can efficiently handle complex cases and can achieve the mean distance error of 0.23 m, and 80% of distance errors are within 0.4 m.
Genetic diversity analysis among 123 accessions of castor (Ricinus communis L.) using SSR marker and its association to agronomic traits

Abstract. Anggraeni TDA, Waluyo B, Sugiharto AN, Kuswanto. 2022. Genetic diversity analysis among 123 accessions of castor (Ricinus communisL.) using SSR marker and its association to agronomic traits. Biodiversitas 23: 1211-1221. Castor (Ricinus communis L.) breeding program targets to create dwarf-type plants suitable for mechanical harvesting. Characterization of plantsusing morphological and molecular markers can enhance the successful breeding program. This studyaimed to investigate the diversity of castor accessionsusing Simple Sequence Repeat (SSR) markers and find the SSR markers that are significantly associated with the agronomic traits. The castor germplasm collection consisting of 123 accessions from the islands throughout Indonesia, breeding lines, and introducedaccessions displayed a moderate genetic diversity. The germplasm collection showed high variation in plant height, node length average, number of nodes, 100 seed weight, and oil content. The association analysis using GLM (General Linear Model) and MLM (Mixed Linear Model) could detect six associations between SSR marker alleles and agronomic traits. Among the marker alleles, two marker alleles had an overlap association. RcSSR-12_175 had an association with plant height and flowering day, RcSSR-23_113 had an association with node length average and branch number, and RcSSR-4_125 had an association with seed weight/raceme. This finding could provide information on Indonesia’s castor accession status. The linked-trait SSR markers are useful in marker-assisted selection for breeding high yield dwarf type-castor.
Brain Tumor Segmentation Utilizing Thresholding and K-Means Clustering

The segmentation of brain tumors utilizing magnetic resonance imaging (MRI) is a critical step in medical image processing. This results from the valuable information obtained from MRI images that help the radiologist in brain diagnosis. Consequently, many researchers have suggested different methods to address the problem of tumor segmentation in brain MRI images. This paper proposes a brain tumor segmentation algorithm based on k-means clustering, thresholding, and morphological operations. First, K-means clusters the MRI slice into three segments, then a thresholding step converts the segmented image to black and white to separate the tumor from the non-tumor regions. K-means is utilized here as an intermediate step before thresholding to enhance the performance of the segmentation process. On the other hand, non-brain tissue is removed utilizing morphological operations. Four morphological operations have demonstrated significant improvements in the process suggested in this method, erosion, dilation, closing, and opening. The experiments were implemented on BRATS datasets utilizing high-grade (HGG) and low-grade (LGG) images. The results obtained from the simulated experiments demonstrated the powerful achievements of the suggested algorithm in terms of Dice, Jaccard, and F1 score. Furthermore, the suggested method outperforms a few other techniques when applied to the same images.
Supporting farmer wellbeing: exploring a potential role for advisors

ABSTRACT Purpose Farmers experience poor health outcomes and are considered ‘hard to reach’. Agricultural advisors (‘advisors’) are uniquely positioned to support and signpost farmers on health issues. This paper explores the acceptability and terms of reference of a potential health role for advisors, and offers key recommendations for developing a bespoke farmers’ health training programme. Methodology Following ethical approval, eleven focus groups were conducted with farmers (n = 4), advisors (n = 4), farming organisations (n = 2) and farmers’ ‘significant others’ (n = 1). Utilising Thematic Content Analysis, transcripts were coded iteratively and emerging themes were grouped into primary and subthemes. Findings/practical implications Our analysis identified three themes. ‘Scope and acceptability of a potential health role for advisors’ examines how participants envision and are receptive to such a role. ‘Responsibilities, boundaries and self-care’ considers both a health promotion and ‘health connector’ advisory role – normalising health conversations and sign-posting farmers to services/supports. Finally, ‘trouble-shooting potential obstacles to advisors assuming a health role’ reflects on the barriers that may impede advisors capacity or potential to have a broader health role. Theoretical implications/original value Within the context of the stress process theory, findings provide unique insights into how advisory can mediate stress and contribute to farmers’ health and wellbeing.
Short Communication: Molecular identification and assessment of bacterial contamination of frozen local and imported meat and chicken in Basrah, Iraq using 16S rDNA gene

Abstract. Mohammad AJ, Alyousif NA. 2022. Short Communication: Molecular identification and assessment of bacterial contamination of frozen local and imported meat and chicken in Basrah, Iraq using 16S rDNA gene. Biodiversitas 23: 1598-1604. Meat is the main food source of daily meals with highly beneficial effects on human health. It is susceptible to the growth and reproduction of various bacteria due to its composition, which leads to its spoilage, and being an important carrier of pathogenic bacteria. The study aimed to isolate and identify the bacteria contamination of frozen local and imported meat and chicken samples using 16S rDNA gene. Twenty meat samples were collected randomly from local and imported meat sold in markets of Basrah province, Iraq. The results showed that the total aerobic bacteria count was within acceptable limits in all samples. Fifty-seven bacterial isolates were isolated and identified by amplification and sequencing of 16S rDNA gene, where the gram-positive bacteria were the most abundant 34(59.6%), and S. pasteuri is the most common species in the samples with 14 (24%) bacterial isolates out of the total isolates. Fifteen isolates were identified as new strains and their sequences were deposited at GenBank (NCBI) under different accession numbers (MZ964582-MZ964596). The meat and chicken have many bacteria on their surface, therefore the products must be frozen, and sanitary precautions should be taken into consideration.
Spatial Selectivity of Rice Channel Based on 3-D Joint Multipath Shape Factors Theory

Based on the 3-D joint multipath shape factors theory, this paper studies the spatial selectivity of Rice channels of wireless communications. A 3-D joint multipath angular power spectral density (APD) model is proposed, and then the closed expressions of the 3-D double spherical harmonic coefficients and 3-D joint multipath shape factors are derived. The errors in the existing formulas of 3-D joint multipath shape factors theory are further pointed out and corrected. The results can provide theoretical support for quantifying and simplifying the analysis and design of 3-D multiple input multiple output (MIMO) beamforming technology and smart antenna arrays for the 5G communication.
Bambusicolous Fungi in Pleosporales: Introducing Four Novel Taxa and a New Habitat Record for Anastomitrabeculia didymospora

While conducting a survey of bambusicolous fungi in northern Thailand and southwestern China, several saprobic fungi were collected from dead branches, culms and twigs of bamboos, which were preliminarily identified as species belonging to Pleosporales (Dothideomycetes) based on a morphological approach. Multigene phylogenetic analyses based on ITS, LSU, SSU, rpb2, tef1-α and tub2 demonstrated four novel taxa belonging to the families Parabambusicolaceae, Pyrenochaetopsidaceae and Tetraploasphaeriaceae. Hence, Paramultiseptospora bambusae sp. et gen. nov., Pyrenochaetopsis yunnanensis sp. nov. and Tetraploa bambusae sp. nov. are introduced. In addition, Anastomitrabeculia didymospora found on bamboo twigs in terrestrial habitats is reported for the first time. Detailed morphological descriptions and updated phylogenetic trees of each family are provided herein.