Miracle-dz/UniFAR-FTUs huggingface dataset:
MOLECULAR CHARACTERIZATION OF ANISAKID NEMATODES HYSTEROTHYLACIUM SPECIES FROM JAPANESE THREADFIN BREAM NEMIPTERUS JAPONICUS (BLOCH, 1791) (PERCIFORMES, NEMIPERIDAE) FROM IRAQI MARINE WATER FISH

The present study provides a new insight into valuable information on the diverse structure of the Anisakid population and discusses the limited species richness in the Nemipterus japonicus (Bloch,1791) (Perciformes, Nemiperidae). The fishing area consists of various locations in the Arabian Gulf (29°58 0 33 00 N48°28 0 20 E). A total of 315 marine fish were examined, (n=287) were infected. Larval stages (n= 763) encysted within the mesenteries peritoneum and viscera of fish organs were isolated, with a prevalence of 91.11% of infection and, the intensity was 2.65. Molecular analysis was carried out on thirty individuals who have examined the morphology and showed some appearance differences, by amplifying internal transcribed spacers ITS and ITS-1 of nuclear rDNA (rDNA) by PCR using the primer sets NC5/NC2 and SS1/NC13R of thirteen DNA products. Evolutionary analyses were conducted in MEGA X. based on the identity percentage in the GenBank database showed that they belong to anisakid nematodes, in particular, they belong to eleven distinct taxa within the Hysterothylacium Ward & Magath, 1917 (Rhabditida, Raphidascarididae) and one identified species H. amoyense (Hsü, 1933) Deardorff & Overstreet, 1980. The current study records eleven species that belong to a genus of Hysterothylacium; some of the alignment of sequences polymorphisms reveals new different individuals of larvae species that may be adopted as new species if their adult stage is detected, and N. japonicus fish considered as a new host record. The current study provides some insights on the systematic taxonomy of these parasites, in addition, it supports similar studies that have been published elsewhere.
MODEL ADOPSI TEKNOLOGI DALAM RANGKA PENINGKATAN KUALITAS PRODUK PADA USAHA KECIL DAN MENENGAH (UKM) DI KABUPATEN SIDOARJO

Usaha Kecil dan Menengah (UKM) mempunyai peran penting dalam menjaga stabilitas perekonomian. Selain itu, UKM merupakan sektor pekerjaan yang banyak membantu Pemerintah dalam mengurangi masalah pengangguran yang semakin meningkat.Penelitian ini bertujuan untuk mengetahui model adopsi teknologi yang sesuai dengan UKM di wilayah Kab Sidoarjo. Pengambilan data dilakukan dengan menggunakan kuisioner, sedangkan teknik pengolahan data dilakukan dengan mengunakan metode analytical hierarchy proses (AHP ) dan metode teknometrik untuk mengetahui indeks TCC (Total Contribution Coeffisient). Obyek penelitian adalah 2 buah UKM Krupuk di wilayah Sidoarjo.Hasil penelitian menunjukkan bahwa komponen teknologi yang terpenting dan mempunyai kontribusi utama pada UKM adalah technoware. Sedangkan, nilai TCC untuk kedua UKM adalah 0,57 untuk UKM krupuk Aneka dan 0,69 untuk UKM krupuk Rejeni. Kata kunci : AHP, Teknometrik, UKM, TCC.
Pavement distress detection and avoidance for intelligent vehicles

Pavement distresses and potholes represent road hazards that can cause accidents and damages to vehicles. The latter may vary from a simple flat tyre to serious failures of the suspension system, and in extreme cases to collisions with third-party vehicles and even endanger passengers' lives. The primary scientific aim of this study is to investigate the problem of road hazard detection for driving assistance purposes, towards the final goal of implementing such a technology on future intelligent vehicles. The proposed approach uses a depth sensor to generate an environment representation in terms of 3D point cloud that is then processed by a normal vector-based analysis and presented to the driver in the form of a traversability grid. Even small irregularities of the road surface can be successfully detected. This information can be used either to implement driver warning systems or to generate, using a cost-to-go planning method, optimal trajectories towards safe regions of the carriageway. The effectiveness of this approach is demonstrated on real road data acquired during an experimental campaign. Normal analysis and path generation are performed in post-analysis. This approach has been demonstrated to be promising and may help to drastically reduce fatal traffic casualties, as a high percentage of road accidents are related to pavement distress.
What are other-rated scales composed of? Sources of measurement error and true trait variance in other-ratings of the Big Five Journal of Research in Personality

Other-ratings of targets’ traits may consist – besides true trait variance (TTV) – of different measurement error sources, particularly due to raters, scales, items, measurement times, and random ﬂuctuations. Using Gnambs’ (2015) and Ones, Wiernik, Wilmot, and Kostal’s (2016) procedures for partitioning vari- ance in scales due to measurement error, available meta-analytical data on Big Five other-ratings were analyzed. They showed relatively little TTV (0–13%), which was especially decreased by both low inter-rater reliability and convergent validity of Big Five measures. Accounting for both, TTV levels rose, but were still small to medium (4–26%). These ﬁndings provide important insights on what Big Five other-ratings are composed of and how such scale scores may be interpreted and treated in further anal-yses (e.g., trait-outcome relations).
Step test and physical working capacity in female volleyball players: the paradox of better performance in the older athletes

The aim of the present study was to compare two popular submaximal tests of aerobic capacity, the YMCA step test and the physical working capacity at heart rate (HR) 170 bpm test (P170), in competitive female volleyball players. The participants (n = 152, age 12.78-41.67 yrs) were examined for anthropometric characteristics and performed the YMCA step test. Heart rate (HR) was recorded at the end of the test (Stepend) and at the end of the first minute of recovery (Steprec). P170 test was expressed in both absolute (P170,abs, W) and relative values (P170,rel, W.kg-1). In addition, a sub-group (n = 14) was tested again one year later. The YMCA step test correlated largely (Steprec) and very largely (Stepend) with P170,rel (r = –0.58 and r = –0.76, p 0.05). Age correlated low-to-moderately with all indices of aerobic capacity (0.23 ≤ │r│ ≤ 0.45, p<0.05), i.e. the older the age, the better the aerobic capacity. Based on the findings of the present study, it was concluded that the YMCA step test (especially the Stepend index) and P170 might be used interchangeably by coaches and trainers to monitor aerobic capacity of female volleyball players. The paradoxically increase of aerobic capacity with age should be attributed to the assessment methods which were based on HR and to the decrease of maximal HR
The Technologies for Remote Reconfiguration of Artificial Intelligence of Robotic Systems in Case of Mission or Driving Conditions Change

This report considers the creation of a controller intended for reconfiguring the artificial intelligence of robotic vehicles. The functional structure of hardware-reconfigurable digital module for intellectual control of robotic vehicles is proposed and further interaction between its functional modules and remote support center in different situations requiring reconfiguration is concerned. The procedures of self-check and self-testing of the hardware-reconfigurable digital module for intellectual control of mobile space-based robots are described, which are necessary to ensure reliability of reconfiguration.
Intracellular calcium regulates agrin-induced acetylcholine Intracellular calcium regulates agrin-induced acetylcholine receptor clustering receptor clustering

Agrin is an extracellular matrix protein that directs neuromuscular junction formation. Early signal transduction events in agrin-mediated postsynaptic differentiation include activation of a receptor tyrosine kinase and phosphorylation of acetylcholine receptors (AChRs), but later steps in this pathway are unknown. Here, we have investigated the role of intracellular calcium in agrin-induced AChR clustering on cultured myotubes. Clamping intracellular calcium levels by loading with the fast chelator BAPTA inhibited agrin-induced AChR aggregation. In addition, preexisting AChR aggregates dispersed under these conditions, indicating that the maintenance of AChR clusters is similarly dependent on intracellular calcium ﬂuxes. The decrease in AChR clusters in BAPTA-loaded cells was dose-dependent and reversible, and no change in the number or mobility of AChRs was observed. Clamping intracellular calcium did not block agrin-induced tyrosine phosphorylation of the AChR b -subunit, indicating that intracellular calcium ﬂuxes are likely to act downstream from or parallel to AChR phosphorylation. Finally, the targets of the intracellular calcium are likely to be close to the calcium source, since agrin-induced AChR clustering was unaffected in cells loaded with EGTA, a slower-binding calcium chelator. These ﬁndings distinguish a novel step in the signal transduction mechanism of agrin and raise the possibility that the pathways mediating agrin- and activity-driven changes in synaptic architecture could intersect at the level of intracellular calcium ﬂuxes. was identiﬁed tentatively as AChR d -subunit, on the basis of immunoreactivity with mAb 88b and previous reports showing that agrin also induces the phosphorylation of this subunit Huganir, 1994). Phosphotyrosine levels of the AChR b -subunit were measured and expressed relative to total AChR levels, as described in Materials and Methods. Results were derived from three separate experiments, each normalized to untreated controls. Agrin-induced AChR b -subunit tyrosine phosphorylation was equivalent in vehicle, as compared with BAPTA-loaded cells. The basal level of AChR b -subunit tyrosine phosphorylation was also not signiﬁcantly different in BAPTA-loaded
Efficient and adaptive lidar–visual–inertial odometry for agricultural unmanned ground vehicle

The accuracy of agricultural unmanned ground vehicles’ localization directly affects the accuracy of their navigation. However, due to the changeable environment and fewer features in the agricultural scene, it is challenging for these unmanned ground vehicles to localize precisely in global positioning system-denied areas with a single sensor. In this article, we present an efficient and adaptive sensor-fusion odometry framework based on simultaneous localization and mapping to handle the localization problems of agricultural unmanned ground vehicles without the assistance of a global positioning system. The framework leverages three kinds of sub-odometry (lidar odometry, visual odometry and inertial odometry) and automatically combines them depending on the environment to provide accurate pose estimation in real time. The combination of sub-odometry is implemented by trading off the robustness and the accuracy of pose estimation. The efficiency and adaptability are mainly reflected in the novel surfel-based iterative closest point method for lidar odometry we propose, which utilizes the changeable surfel radius range and the adaptive iterative closest point initialization to improve the accuracy of pose estimation in different environments. We test our system in various agricultural unmanned ground vehicles’ working zones and some other open data sets, and the results prove that the proposed method shows better performance mainly in accuracy, efficiency and robustness, compared with the state-of-art methods.
Algorithmic resistance as political disengagement

This article suggests that algorithmic resistance might involve a particular and rarely considered kind of evasion—political disengagement. Based on interviews with ordinary Brazilian users of Facebook, it argues that some people may stop acting politically on social media platforms as a way of avoiding an algorithmic visibility regime that is felt as demeaning their civic voices. Three reasons given by users to explain their disengagement are discussed: the assumption that, by creating bubbles, algorithms render their citizenship useless; the understanding that being seen on Facebook entails unacceptable sacrifices to their values and well-being; and the distress caused by successfully attaining political visibility but being unable to fully control it. The article explores the normative ambiguities of this type of algorithmic resistance, contextualizing it in Brazil's autocratization process.
The Super-vision of Autoethnographic Dissertation Studies: Transformative Stories of the Supervisor and the Supervised Revealed

The purpose of this paper is to explore the super-vision of dissertations, from the perspective of the supervisor and two supervisees who did dissertations that had an evocative autoethnographic component. We argue that autoethnography in context of scholarly writing encourages both an inner looking, and an outward looking that results in a super-vision, that is the result of the relationship between the supervisor and the supervisee, which evokes further insights, analysis, and reflexive stories.
Interpersonal communication competence and the responsivity principle among inmates: implications for institutional misconduct

Abstract Inmate misconduct threatens two critically important functions of prison life: offender rehabilitation and facility safety. While many offender change programs focus on empathy development as a tool for reducing inmate misconduct, few studies elucidate how an inmate’s communication competence plays a role in the empathy-misconduct relationship. Drawing upon the Risk-Needs-Responsivity (RNR) framework, we conduct a multi-site investigation of prisons in a US state to assess the association between inmates’ self-assessed levels of interpersonal communication competence (ICC) and the incidence of inmate misconduct, net of controls and demographics. Results reveal higher levels of interpersonal communication competence are related to fewer major behavioral infractions but have no observed relationship with minor infractions while incarcerated. Empathy measures had no effect on either type of infraction. Theory and policy implications of our findings for correctional practice are discussed.
Predictors of Vaccine Hesitancy in College-Attending Emerging Adults: Implications for Public Health Outreach

ABSTRACT Background Emerging adults (ages 18–29) have the highest COVID-19 infection rates and the lowest vaccination rates. With vaccine distribution underway, understanding characteristics of this population that predict hesitation to get vaccinated can inform public health outreach. Purpose In the current study, we sought to identify demographic, psychological, and cultural predictors of vaccine hesitancy in college-attending emerging adults. Methods We used snowball sampling methods to distribute an online survey to US undergraduates between October-November 2020; 225 completed surveys were returned. Results A regression analysis showed that identifying as Black or African American, endorsing moderate or conservative political views, and lower levels of collectivism were significant predictors of vaccine hesitancy. Gender, perceived vulnerability to disease, unrealistic optimism bias, and individualism did not predict vaccine hesitancy as hypothesized. Discussion Findings suggest that demographic and cultural factors may be more salient than psychological factors in predicting vaccine hesitancy in college-attending emerging adults.Translation to Health Education Practice: Appealing to emerging adults’ desire for collective well-being, social norm compliance, and acknowledging concerns about the trustworthiness of government and healthcare systems may lead to greater vaccine adherence.
Editor’s essay: Letting go in leadership

One of the most important lessons I learned as a young mom who stepped up to volunteer with her children’s school PTA® is that leadership means different things to different people. I also learned that leadership looks different to different people and that each of us has mental representations of what a “good leader” looks like. Little did I know then that decades of scholarly research and thousands of publications on “leadership” backed up what I was experiencing.
Biochemical analysis of the site specific recombinases of yeasts and of bacteriophage P1.

The site specific recombinases FLP from Saccharomyces cerevisiae and Cre from bacteriophage P1 are finding increasing use in reverse genetics. This thesis presents an investigation and comparison of the biochemical properties of site specific recombinases, with a view to optimising their use in genomic manipulation strategies. Chapter 3 describes the characterisation of a novel site specific recombinase, the "Kw" recombinase, from the yeast Kluyveromyces waltii. The results show that Kw shares features with FLP and Cre recombinases which make it potentially useful as a tool for genomic manipulation. In Chapter 4, kinetic properties of FLP and Cre are compared, showing that Cre has a higher affinity for the LoxP site than FLP for the FRT. The kinetics of the full excision reaction are compared for FLP and Cre. A mathematical modelling approach is used in combination with measured DNA binding rates, to determine other parameters which best describe the recombination behaviour of each recombinase. This analysis suggests that the synaptic complex is more stable for Cre than for FLP. In Chapter 5, results show that FLP recombinase is thermolabile in an in vitro recombination assay, whereas Cre is thermostable, and that this difference also affects DNA binding. In addition, two FLP mutants with altered thermostabilities are described. In Chapter 6, the effect of distance between FRT sites on FLP mediated excision in vitro is examined, showing that FLP is unable to excise a substrate with 74 base pairs between its target sites, and that the optimum distance, giving the fastest initial rate of recombination, is between 400 and 700 base pairs. At a given protein to substrate ratio, recombination efficiency is greatly decreased at distances of 8kb and above.
From retina to motoneurons: A substrate for visuomotor transformation in salamanders

The transformation of visual input into motor output is essential to approach a target or avoid a predator. In salamanders, visually-guided orientation behaviors have been extensively studied during prey capture. However, the neural circuitry involved is not resolved. Using salamander brain preparations, calcium imaging and tracing experiments, we describe a neural substrate through which retinal input is transformed into spinal motor output. We found that retina stimulation evoked responses in reticulospinal neurons of the middle reticular nucleus, known to control steering movements in salamanders. Microinjection of glutamatergic antagonists in the optic tectum (superior colliculus in mammals) decreased the reticulospinal responses. Using tracing we found that retina projected to the dorsal layers of the contralateral tectum, where the dendrites of neurons projecting to the middle reticular nucleus were located. In slices, stimulation of the tectal dorsal layers evoked glutamatergic responses in deep tectal neurons retrogradely labelled from the middle reticular nucleus. We then examined how tectum activation translated into spinal motor output. Tectum stimulation evoked motoneuronal responses, which were decreased by microinjections of glutamatergic antagonists in the contralateral middle reticular nucleus. Reticulospinal fibers anterogradely labelled from tracer injection in the middle reticular nucleus were preferentially distributed in proximity with the dendrites of ipsilateral motoneurons. Our work establishes a neural substrate linking visual and motor centers in salamanders. This retino-tecto-reticulo-spinal circuitry is well positioned to control orienting behaviors. Our study bridges the gap between the behavioral studies and the neural mechanisms involved in the transformation of visual input into motor output in salamanders.
Extension of PERMANOVA to Testing the Mediation Effect of the Microbiome

Background Recently, we have seen a growing volume of evidence linking the microbiome and human diseases or clinical outcomes, as well as evidence linking the microbiome and environmental exposures. Now comes the time to assess whether the microbiome mediated the effects of the exposures on the outcomes, which will enable researchers to develop interventions to modulate the outcomes by modifying the microbiome composition. Use of distance matrices is a popular approach to analyzing complex microbiome data that are high-dimensional, sparse, and compositional. However, the existing distance-based methods for mediation analysis of microbiome data, MedTest and MODIMA, only work well in limited scenarios. Results PERMANOVA is currently the most commonly used distance-based method for testing microbiome associations. Using the idea of inverse regression, here we extend PER-MANOVA to testing microbiome mediation effects by including both the exposure and the outcome as covariates and basing the test on the product of their F-statistics. This extension of PERMANOVA, which we call PERMANOVA-med, naturally inherits all the flexible features of PERMANOVA, e.g., allowing adjustment of confounders, accommodating continuous, binary, and multivariate exposure and outcome variables including survival outcomes, and providing an omnibus test that combines the results from analyzing multiple distance matrices. Our extensive simulations indicated that PERMANOVA-med always controlled the type I error and had compelling power over MedTest and MODIMA. Frequently, MedTest had diminished power and MODIMA had inflated type I error. Using real data on melanoma immunotherapy response, we demonstrated the wide applicability of PERMANOVA-med through 16 different mediation analyses, only 6 of which could be performed by MedTest and 4 by MODIMA. Availability and Implementation PERMANOVA-med has been added to the existing function “permanovaFL” in our R package LDM, which is available on GitHub at https://github.com/yijuanhu/LDM.
Achieving improved accuracy for imputation of ancient DNA

Genotype imputation has the potential to increase the amount of information that can be gained from the often limited biological material available in ancient samples. As many widely used tools have been developed with modern data in mind, their design is not necessarily reflective of the requirements in studies of ancient DNA. Here, we investigate if an imputation method based on the full probabilistic Li and Stephens model of haplotype frequencies might be beneficial for the particular challenges posed by ancient data. We present an implementation called prophaser, and compare imputation performance to two alternative pipelines that have been used in the ancient DNA community based on the Beagle software. Considering empirical ancient data downsampled to lower coverages as well as present-day samples with artificially thinned genotypes, we show that the proposed method is advantageous at lower coverages, where it yields improved accuracy and ability to capture rare variation. The software prophaser is optimized for running in a massively parallel manner and achieved reasonable runtimes on the experiments performed when executed on a GPU.