Miracle-dz/UniFAR-FTUs huggingface dataset:
Characterization of the Complete Mitogenome of Mikrogeophagus altispinosus (Cichliformes: Cichlidae) and Phylogenetic Analysis of New World Cichlids

Following rapid advances in complete mitochondrial genome determination, researchers have published the mitogenomes of many New World cichlids. However, few phylogenetic analyses of New World cichlids have been conducted. In this study, we determined the complete mitogenome of Mikrogeophagus altispinosus . After sequencing with the Illumina HiSeq 4000 platform, SPAdes v3.10. 1 was used for assembly, and MITOS2 and MitoFish were used for annotation. We then successfully annotated the mitogenome of M. altispinosus , which has a total length of 16,767 bp. The gene composition and base preferences of M. altispinosus are similar to those of other New World cichlids. Based on the concatenated sequences of 13 protein-coding genes and two rRNAs from the mitogenomes of 37 New World cichlids and one African cichlid, we reconstructed phylogenetic trees using maximum likelihood and Bayesian methods and verified the classification of the target species M. altispinosus . According to our analysis, further studies should focus on the relationships between Amphilophus and Symphysodon . By determining the complete mitogenome of M. altispinosus , this study improves the phylogenetic resolution of New World cichlids. This new resource is highly important for the classification of New World cichlids and provides valuable data for subsequent studies on Cichlidae evolution.
Ambiguity function for bistatic SAR and its application in SS-BSAR performance analysis

The ambiguity function (AF) for bistatic synthetic aperture radar (BSAR) is deduced and the performance of space-surface bistatic SAR (SS-BSAR) is analyzed. SS-BSAR can operate utilizing non-cooperative transmitters such as GPS, GALILEO, etc due to its bistatic nature.
Towards Large Scale Transfer Learning for Differentially Private Image Classification

Diﬀerentially Private Stochastic Gradient Descent (DP-SGD) has emerged as a popular private training algorithm. Unfortunately, the computational cost of training large-scale models with DP-SGD is substantially higher than non-private training. This is further exacerbated by the fact that increasing the number of parameters leads to larger degradation in utility with DP. In this work, we zoom in on the ImageNet dataset and demonstrate that, similar to the non-private case, pre-training over-parameterized models on a large public dataset can lead to substantial gains when the models are ﬁnetuned privately. Moreover, by systematically comparing private and non-private models across a range of large batch sizes, we ﬁnd that similar to the non-private setting, the choice of optimizer can further improve performance substantially with DP. By using the LAMB optimizer, we saw improvement of up to 20% points (absolute). We also show that ﬁnetuning just the last layer for a single step in the full batch setting, combined with extremely small-scale (near-zero) initialization leads to both SOTA results of 81.7 % under a wide privacy budget range of ε ∈ [4 , 10] and δ = 10 − 6 while minimizing the computational overhead substantially. Finally, we present additional results on CIFAR-10 and CIFAR-100, surpassing previous state of the art by leveraging transfer learning with our recommendations.
Early Detection of Endobacteria in Rhizopus spp.

: Rhizopus spp. are commonly used in bio-industrial processes such as manufacturing traditional fermented foods. However, one species, R. microsporus has been reported to contain toxin-producing endobacteria. Therefore, it is essential to evaluate the Rhizopus strains' safety before application as tempe inoculum. The study aimed to detect the presence of endobacteria from seven strains of Rhizopus spp. isolated from Tempe and four strains from other substrates using molecular and staining techniques. Molecular analyses were conducted using a PCR approach of 16S rDNA with primer sets 10F and 1541R. The presence of endobacteria was confirmed with the LIVE /DEAD® bacterial viability kit. The bacteria were identified molecularly by a phylogenetic approach using the Neighbour-Joining method and p-distance model in MEGA 6 with species of endo hyphal bacteria of Mortierella elongata as an outgroup. Molecularly, only R. microsporus IPBCC 13.1131 isolated from tempe in Cilacap, Central Java, was found to contain endobacteria. The presence of endobacteria was confirmed by the appearance of the red and green luminescence in hyphae, not in the spores. These endobacteria are identified as Curtobacterium sp. The study is the first report of described endo hyphal Curtobacterium from R. microsporus tempe starter.
Effects of chloramphenicol, povidone-iodine 1% and 5% eye drops on the colonisation of conjunctival flora in patients undergoing cataract surgery

Summary Objectives the aim was to compare 2 drops of either 5% chloramphenicol, 1% povidone-iodine or 5% povidone-iodine before cataract surgery on reducing the colonisation of bacterial flora in the conjunctiva. Design This was a double-blind, randomised clinical trial study. Setting Patients referred to Shahid Sadoughi Hospital in Yazd, Iran, for cataract surgery were studied. Participants Totally 260 patients were enrolled. Intervention The affected lower fornix was gently sampled with a sterile swab and cultured on appropriate microbiological media. Then one of the 3 solutions mentioned above was instilled into the conjunctival sac of the cases in groups 1, 2 and 3, respectively. After thirty minutes, new conjunctival swabs were taken and cultured. Main outcome measures The type of bacteria isolated and their colony-forming unit per mL (CFU/mL) number were primary end-points. The statistical tests of Phi and Cramer's V and Wilcoxon and Kruskal-Wallis were applied to evaluate the relationship between the studied variables and culture results as the secondary end-point. Results The studied patients were 129 (49.6%) males and 131 (50.4%) females. Bacterial growth was observed in 49 cases (18.85%); the most commonly isolated bacteria were Staphylococcus epidermidis (71.42%). In the povidone-iodine 5% and chloramphenicol groups (but not the povidone-iodine 1%), the decrease in the number of CFU/mL was statistically significant (P = 0.032 and P = 0.005, respectively, Wilcoxon test). Conclusion A single dose of povidone-iodine 5% and chloramphenicol effectively reduces the colonisation of normal conjunctival bacteria and can be used as effective prophylaxis. Funding This study was part of an MSc thesis of Nasrin Tofighi. Shahid Sadoughi University of Medical Sciences, Yazd, Iran, funded this work.
Articles Levels of Awareness of Procedural Sedation and Analgesia among Non-anaesthesiologists at an Academic Hospital in Johannesburg, South Africa

Background: Procedural sedation and analgesia (PSA) is performed by a group of non-anaesthesiologists in numerous hospital settings. Currently, there is no literature describing sedation practices among non-anaesthesiologists in South Africa despite its wide use. Aim: To describe the profile of non-anaesthesiologist PSA providers at
Multimodal Fish School Search Algorithms Based on Local Information for School Splitting

This work delves into variations of FSS that uses local information (i.e. fish weights) for splitting the school and presents comparative analyses of the new method, tried here in three ways. Hence, this is an attempt to create a more economical alternative for the best performing multimodal version of the algorithm FSS, the dFSS. The work capitalizes on some modifications in the Collective Instinctive Movement and the creation of a simpler function for the links (between fish) definition and put forward in a previous work. The objective was to reduce the number of false-positives without losing the diversity of the solution set returned by the algorithm. The experiments showed that the new algorithm achieved better results considering the following objectives: reduce the number of false-positives, but without losing the ability of finding a diversified set of correct solutions, considering that we did not want to add extra parameters, as well as to perform distance calculations or using any other sort of spatial information. Moreover, the comparative results show that the complexity of the "Guide-Guided" Relationship Links Definition Operator was significantly reduced from O(n^2) to O(n).
USING PROBLEM-BASED LEARNING TO TEACH SOFTWARE MODELING IN INFORMATION TECHNOLOGY COLLEGES IN INDONESIA

The Direct-Instruction model which is still widely used in the learning of software modeling in higher education places more emphasis on classroom interactions initiated by the teacher. Generally, it only involves a small portion of student-to-student interaction. The direct learning systems that depend on the reflection ability of instructors only provide few opportunities for students to be actively involved in the learning process. Thus, it is different from software modeling which emphasizes Student-Centered Learning. Consequently, learning becomes ineffective and students cannot reach the minimum competency standard stated in the learning design. This paper proposes a Problem-Based Learning model that is integrated in software modeling learning at three segments: Curriculum segment, emphasizing the use of problems as the starting point of student learning; group segment, emphasizing collaboration systems (group discussion-based-learning); and student segment, stressing the Student-Directed Learning (SDL) system. The effectiveness test results show that the application of the PBL model in 3 segments (Curriculum, Individual, Group) in the learning design of Software Modeling, is effective in increasing the level of student mastery of a particular topic.
Smooth output feedback stabilization for a class of nonlinear systems with time‐varying powers

This paper investigates the global asymptotic stabilization problem for a class of nonlinear systems with time‐varying powers. First, adding a power integrator technique is revamped to design a smooth state feedback controller, which is implementable with only upper and lower bounds of the time‐varying powers. When the system state is not fully available and the time‐varying power is exactly known, a smooth output feedback controller constituted by a state feedback and a nonlinear state observer is constructed to globally stabilize the system. Copyright © 2017 John Wiley & Sons, Ltd.
The Role of the Digital Influencer as Differentiation in the Food Market Competition

: With the advancement of technologies marketing needs to reinvent itself in digital media making room for new strategies and tools. Among them, the use of digital mediators as the marketing strategy is growing. These are able to reach a larger company with your target audience by narrowing down the business relationships with the customer. Based on this, this study shows how it is a question of taking a differential advantage to a gastronomic company based on a case study carried out at the João Pizza Restaurant, located in Caruaru / PE as the main director, at the same time an entrepreneur and influencer The use of qualitative methods of execution, similar to the profile
University of Birmingham Predictors and consequences of fatigue in prevalent kidney transplant recipients

Background: Fatigue has been under-investigated in stable kidney transplant recipients (KTRs). The objectives of this study were to investigate the nature, severity, prevalence and clinical awareness of fatigue in medically stable KTRs, examine the impact of fatigue on quality of life (QoL), and explore the underlying causes of post-transplant fatigue. Methods: This single-centre cross-sectional study enrolled 106 stable KTRs. Multi-Dimensional Fatigue Inventory (MFI-20) was used to measure 5 fatigue dimensions: General Fatigue (GF), Physical Fatigue (PF), Reduced Activity (RA), Reduced Motivation (RM), Mental Fatigue (MF). Clinical awareness of fatigue was determined by reviewing medical records. QoL was assessed by Medical Outcomes Study Short Form (SF-36) Questionnaire. Demographic, clinical, psychosocial and behavioural parameters were evaluated as fatigue predictors. Results: Fatigue was found in 59% of KTRs. Only 13% had this symptom documented in medical records. Fatigue in KTRs was in the same range as chronically unwell patients, with PF, RA and RM approached levels observed in chronic fatigue syndrome. All fatigue dimensions significantly and inversely correlated with QoL ( p <0.001 for all associations). Demographic predictors were male, older age and non-Caucasian ethnicity ( p ≤0.05 for all associations). Clinical predictors included elevated hsCRP (inflammation), decreased eGFR (graft dysfunction), and reduced lean tissue index ( p ≤0.05 for all associations). Psychosocial and behavioural predictors were inferior sleep quality, anxiety and depression ( p <0.01 for all associations). Conclusions
Controllability Priors Modulating Over- and Under-Segmentation of Latent Causes in Fear Conditioning

Despite the prevalence of fear-based psychiatric disorders, the computational mechanisms underlying persistent, generalized fear remain unknown. This thesis argues that under- and over-segmentation of latent causes best explains the different forms of extinction failure observed in fear conditioning, ranging from overgeneralization of fear and slow learning, to “over-accommodation” and rapid new associative learning without updating old beliefs. Through the latent cause model, these different learning regimes can be achieved through one parameter: the observation prior, which regulates the degree to which observations in the world are thought to be stochastic or determinstic. This parameter has an intuitive relationship with many common cognitive distortions, such as black-and-white thinking. I begin by describing the latent cause model and its application to fear conditioning by simulating existing behavioral results. Then, I present a new, online differential fear conditioning task to validate “virtual shock,” replicate previous results capturing individual differences in fear extinction, and evaluate model predictions. I conclude by discussing ongoing work extending this model to ask questions about trauma’s effect on fear learning, by considering trauma as an uncontrollable stress that can modulate observation priors.
Presence of Apis mellifera pathogens in different developmental stages of wild Hymenoptera species

Pollinators are vitally important for the maintenance of ecosystems and the reproduction of most spontaneous and cultivated plants. However, in the last decades, they are suffering from an alarming decline, with the spread of pathogens and parasites being one of the main causes. Apis mellifera L. is the best-studied pollinator, and several studies have highlighted the presence of some of its pathogens in many other insect species. However, until now we have little or no indication of the effects these pathogens may have on other species. Here, we analysed the prevalence and load of several honey bee pathogens in different developmental stages of the non native species, giant resin bee, Megachile sculpturalis Smith. Also, newly emerged adults of three wild hymenopteran species, M. sculpturalis , Heriades truncorum (L.) and Ancistrocerus sp. , nesting in a bee hotel were analysed. We found Nosema ceranae and CBPV in all three species analysed, and in M. sculpturalis with an increasing trend in parasite and virus levels from early to late stages. In addition, in free-ranging M. sculpturalis adults, we also found DWV, BQCV and Am FV. All viruses found were replicative. Our results indicate that honey bee viruses and parasites can replicate in wild Hymenoptera and their pre-imaginal developmental stages. Therefore, the considered viruses and parasites can be considered multi-host viruses and parasites, and wild pollinators could act not only as a reservoir but also as amplification hosts, highlighting an important threat not only for wild but also for managed bees, because they may result in spillback infections.
Recent studies on hypernuclei lifetimes from STAR

The hyperon-nucleon ( Y - N ) interaction is an essential ingredient in the description of the equation-of-state of high-baryon-density matter. Light hypernuclei ( A = 3 , 4), being simple Y - N bound states, serve as cornerstones of our understanding of the Y - N interaction. Thus, precise measurements of their lifetimes are important, as they provide stringent tests to hyperon-nucleon interaction models. The yields of light hypernuclei are expected to increase from high to low energy heavy-ion collisions due to the increase in baryon density. As a result, the STAR Beam Energy Scan II program, which spans an energy range of √ s NN = 3 . 0 − 27 . 0 GeV, is particularly suited for hypernuclei studies. In these proceedings, recent results on the lifetimes of light hypernuclei ( 3 Λ H, 4 Λ H, 4 Λ He) measured in √ s NN = 3 . 0 and 7 . 2 GeV Au + Au collisions are presented. The relative branching ratio R 3 of the 3 Λ H is intimately related to its lifetime. A new R 3 measurement using data from √ s NN = 3 . 0 GeV Au + Au collisions is reported. These results will be compared to previous measurements and theoretical calculations, and the physics implications will be discussed.
Context based multimedia information retrieval

The paper describes our work on the development of a system for retrieval of relevant stories from broadcast news. The system utilizes a combination of audio processing and text mining. The audio processing consists of a segmentation step that partitions the audio into speech and music. The speech is further segmented into speaker segments and then transcribed using an automatic speech recognition system, to yield text input for clustering using non-negative matrix factorization (NMF). We find semantic topics that are used to evaluate the performance for topic detection. Based on these topics we show that a novel query expansion can be performed to return more intelligent search results. We also show that the query expansion helps overcome errors inferred by the automatic transcription.
Critical workplace information literacy: Laying the groundwork for a new construct

In this paper, the author explores the prospect of, and the rationale for, the critical workplace information literacy (CWIL) construct, by situating it at the junction of critical information literacy (CIL) and workplace information literacy (WIL), the two hitherto discrete frameworks and subdomains of information literacy (IL). This preliminary attempt at the conceptualisation of a new construct was guided by the question of what role CIL can play in empowering workers to attain decent work. The author frames the conceptualisation around the ‘decent work’ (DW) concept, as a normative goal of the critical workplace information literacy construct, and discusses the rationale for it in the framework of the discussion on the decent work deficits in the contemporary work and information environment. Freire’s critical hermeneutics and dialectics of voice and empowerment are drawn upon. The paper argues positively for the role of CIL in attaining decent work and for the need for a new construct that would help fill the knowledge and discursive gap in IL and its subdomains and overcome the current silos in the IL community. The author concludes that developing a concept requires a broad deliberative process informed by both theoretical and empirical research, and gives suggestions for future research.
A study of South Korean international school students: Impact of COVID-19 on anxiety and learning habits

The COVID-19 pandemic has impacted students worldwide on their social, mental, and physical health, as well as their academics. Many studies have shown how COVID-19 has affected different groups of students. The purpose of our research was to study the effect of COVID-19 on international high school students in South Korea. South Korea was lauded for its response to the COVID-19 outbreak, so we further investigated how the online school environment has affected this demographic in particular. We used a survey-based study to gather data on academics, mental, social, and physical health and well-being from 100 high school students attending numerous international schools in Korea. We split up our survey participants by gender and socioeconomic status and compared the averages of their answers using t-tests. Our study confirmed that female students study more than male students and feel they are doing better academically. Furthermore, more of the female students perceived COVID-19 to be dangerous compared to their male counterparts. Seventy-five percent of students also saw a change in their grades based on how their study habits had changed during online school. In addition, most students felt more depressed and anxious during the pandemic, feeling the "COVID blues. " The findings from our study can be used to further improve school systems and student management, especially during a time of crisis in the future.
REVISTA DE PSICOLOGIA DA IMED Self-deprecating Songs Impact on Thoughts and Affects O Impacto de Músicas Autodepreciativas nos Pensamentos e Afetos El Impacto de Música Autocrítica en los Pensamientos y Afectos

This study aimed to observe the impact of self-deprecating songs in thoughts and affect, and the role of self-esteem and other music related variables (evaluation and familiarity) in this relationship. A hundred thirty-six participants engaged in an experiment where they listened to a song (self-deprecating/control) and answered: a Word Task, the Positive and Negative Affect Scale, and the Rosenberg Self-esteem Scale, which underwent t-test, bivariate correlation, factorial ANOVA and mediation in JASP. Results indicated that individuals exposed to the self-deprecating song presented more negative associations and negative affects, and less positive affects. Mediation analyses showed two significant models: music - familiarity - positive affects (indirect effects: λ = -0.160, 95% CI = -0.32 - 0.01, p <0.05, total effects: λ = -0.381, 95% CI = -0.711 - -0.051, p <0.05), and music - evaluation - negative affects (indirect effects: λ = 0.614, 95% CI = 0.269 - 0.959, p <0.05, total effects: λ = 0.397, 95% CI = 0.065 - 0.728, p <0.05). It is possible to conclude that the study’s aim was achieved, highlighting the impact of deprecating music on well-being.
N ORMALIZATION IS DEAD , LONG LIVE N ORMALIZATION !

Training residual networks without batch normalization is suprisingly challenging. Recently, normalizer-free variants were trained successfully, indicating that it might be possible after all. We look at how normalizer-free these networks really are and how their results could teach us something about normalization and signal propagation. These ideas were originally presented as a contribution to the first blog post track at ICLR 20221. The main goal of this PDF version is to provide this content in a more traditional format2. Please, cite the original blog post contribution when referencing this work.