Miracle-dz/UniFAR-FTUs huggingface dataset:
A Field Investigation of Implicit Theory Congruence in Leader-Follower Relationships

The purpose of the following study was to investigate the role of interpersonal congruence between leaders’ and followers’ implicit theories of leadership (ILTs) and followership (IFTs) in both partners’ perspectives of the leader-follower relationship. While most literature focuses on assessments of the leader-member exchange (LMX) relationship, this study examined perceived support, identification with one’s partner, and contribution to the relationship, in addition to LMX. Congruence between self-views and interpersonal congruence on implicit theories was examined as moderators of these relationships, such that the strength of these relationships was predicted to increase as self-views aligned more highly with implicit theories. Data from 103 independent pairs of full-time working adults (across an organizational sample as well as varied workforce snowball sample) were analyzed using eight manifest path models. Leader ILT – follower ILT congruence significantly and positive predicted leader-rated LMX and perceived support, but not identification and contribution. Leader IFT – follower IFT congruence significantly and positive predicted follower-rated LMX and perceived support, but not identification and contribution. The results of this study suggest expectations are meaningful predictors of both partner’s assessments of multiple relationship-oriented outcome variables, but only with regard to perceptions of outcomes from the perspective of one’s dyadic partner.
Similarity and structure of wall turbulence with lateral wall shear stress variations

Wall-bounded turbulence, where it occurs in engineering or nature, is commonly subjected to spatial variations in wall shear stress. A prime example is spatially varying roughness. Here, we investigate the configuration where the wall shear stress varies only in the lateral direction. The investigation is idealised in order to focus on one aspect, namely, the similarity and structure of turbulent inertial motion over an imposed scale of stress variation. To this end, we analyse data from direct numerical simulation (DNS) of pressure-driven turbulent flow through a channel bounded by walls of laterally alternating patches of high and low wall shear stress. The wall shear stress is imposed as a Neumann boundary condition such that the wall shear stress ratio is fixed at 3 while the lateral spacing $s$ of the uniform-stress patches is varied from 0.39 to 6.28 of the half-channel height $\unicode[STIX]{x1D6FF}$ . We find that global outer-layer similarity is maintained when $s$ is less than approximately $0.39\unicode[STIX]{x1D6FF}$ while local outer-layer similarity is recovered when $s$ is greater than approximately $6.28\unicode[STIX]{x1D6FF}$ . However, the transition between the two regimes through $s\approx \unicode[STIX]{x1D6FF}$ is not monotonic owing to the presence of secondary roll motions that extend across the whole cross-section of the flow. Importantly, these secondary roll motions are associated with an amplified skin-friction coefficient relative to both the small- and large- $s/\unicode[STIX]{x1D6FF}$ limits. It is found that the relationship between the secondary roll motions and the mean isovels is reversed through this transition from low longitudinal velocity over low stress at small $s/\unicode[STIX]{x1D6FF}$ to high longitudinal velocity over low stress at large $s/\unicode[STIX]{x1D6FF}$ .
An integrated single-cell analysis of human adrenal cortex development

The adrenal glands synthesize and release essential steroid hormones such as cortisol and aldosterone, but many aspects of human adrenal gland development are not well understood. Here, we combined single-cell and bulk RNA sequencing, spatial transcriptomics, IHC, and micro-focus computed tomography to investigate key aspects of adrenal development in the first 20 weeks of gestation. We demonstrate rapid adrenal growth and vascularization, with more cell division in the outer definitive zone (DZ). Steroidogenic pathways favored androgen synthesis in the central fetal zone, but DZ capacity to synthesize cortisol and aldosterone developed with time. Core transcriptional regulators were identified, with localized expression of HOPX (also known as Hop homeobox/homeobox-only protein) in the DZ. Potential ligand-receptor interactions between mesenchyme and adrenal cortex were seen (e.g., RSPO3/LGR4). Growth-promoting imprinted genes were enriched in the developing cortex (e.g., IGF2, PEG3). These findings reveal aspects of human adrenal development and have clinical implications for understanding primary adrenal insufficiency and related postnatal adrenal disorders, such as adrenal tumor development, steroid disorders, and neonatal stress.
A Monte Carlo type simulation toolbox for solar system small body dynamics

The dynamics of small bodies in the solar system form a theoretical basis to study meteoroid streams and their connected meteor showers. The perhaps most missed feature in current models is the ability to easily connect programs with different functionalities. We believe this is the main reason why many contemporary techniques such as Monte Carlo simulations of meteoroid streams, orbital stability analysis, and so on, have not yet been combined. We have thus started development of a toolbox able to showcase the power of a software capable of these actions. The software is designed in a modular fashion, where one master program has the ability to call several independent modules. The parent bodies can be hand-picked, or generated from probability distributions like the PanSTARRS Synthetic Solar System Model. This enables a wide re-use of the tools developed. To study mass propagation we use the toolbox in a statistical manner propagating a distribution of possibilities rather than relying on single assumptions. The distributions currently implemented represent orbital elements, sublimation distance, density, size, and surface activity. The software integrate ejected particles and examines close encounters with the Earth.
Ice-buttressing-controlled rock slope failure on a cirque headwall, Lake District, UK

Abstract. Rock slope failures in the Lake District, UK, have been associated with deglacial processes after the Last Glacial Maximum, but the controls and timing of the failures remain poorly known. A cirque headwall failure was investigated to determine failure mechanisms and timing. The translated wedge of rock is thin and lies on a steep failure plane, yet the friable strata were not disrupted by downslope movement. Fault lines and a failure surface, defining the wedge, were used as input to a numerical model of rock wedge stability. Various failure scenarios indicated that the slope was unstable and would have failed catastrophically if not supported by glacial ice in the base of the cirque. The amount of ice required to buttress the slope is insubstantial, indicating likely failure during the thinning of the cirque glacier. We propose that, as the ice thinned, the wedge was lowered slowly down the cirque headwall, gradually exposing the failure plane. A cosmogenic 10Be surface exposure age of 18.0±1.2 ka from the outer surface of the wedge indicates Late Devensian de-icing of the backwall of the cirque, with a second exposure age from the upper portion of the failure plane yielding 12.0±0.8 ka. The 18.0±1.2 ka date is consistent with a small buttressing ice mass being present in the cirque at the time of regional deglaciation. The exposure age of 12.0±0.8 ka represents a minimum age, as the highly fractured surface of the failure plane has experienced post-failure mass-wasting. Considering the chronology, it appears unlikely that the cirque was reoccupied by a substantial ice mass during the Younger Dryas stadial.
Microfacet Theory for Non-Uniform Heightfields

We propose new methods for combining NDFs in microfacet theory, enabling a wider range of surface statistics. The new BSDFs that follow allow for independent adjustment of appearance at grazing angles, and can’t be represented by linear blends of single-NDF BSDFs. We derive importance sampling for a symmetric operator that blends NDFs uniformly, and introduce a new asymmetric operator that supports NDF variation with elevation. We also extend Smith’s model to support piecewise-constant NDF and material variations with elevation, and demonstrate accuracy via Monte Carlo simulations.
Potential of Hexacladia smithii (Hymenoptera Encyrtidae) to parasitize Piezodorus guildinii (Hemiptera Pentatomidae) adults

Piezodorus guildinii (Westwood) (Hemiptera Pentatomidae) is an important pest of several crops. Biological control using parasitoids as natural enemies of pests represents a promising alternative strategy to the use of pesticides. Oophagous parasitoids are helpful in the management of this pest, but they are not sufficient for the control of the target insect. The aim was to assess the potential of a parasitoid of the adult stage of related stink bug species, Hexacladia smithii Ashmead (Hymenoptera Encyrtidae), as a biocontrol agent targeting P. guildinii. In the laboratory, adults of this stink bug were successfully parasitized, allowing also the emergence of a first filial generation of parasitoids. The percentage of emergence of wasps reached 61.9%. The results obtained indicate that H. smithii has the potential to develop in this host. This is the first record of H. smithii developing two generations on P. guildinii adults, indicating that this stink bug is a component of the host range of H. smithii . The action of parasitoids that attack the adult stage of hosts, such as H. smithii , in combination with the control exerted by the egg parasitoids, may be useful for the management of P. guildinii .
Multivariate Analysis of Vertical Jump Predicting Health-related Physical Fitness Performance

Background: Health-related fitness tests measure one of five different traits: cardiorespiratory endurance, muscular strength, muscular endurance, body composition, and flexibility. To assess an individual on all five traits can be costly and time consuming. Thus, it would be useful to the fitness practitioner if one single test could be used as a proxy for overall fitness. Therefore, the purpose of this study was to employ multivariate data analyses to examine the ability of the vertical jump (VJ) to predict health-related fitness performance. Methods: This study used data from college students who completed both ten different health-related fitness tests and the VJ assessment. Three body composition measures were used: percent body fat (PBF, %), body mass index (BMI, kg/m2), and waist circumference (WC, cm). Four muscular fitness measures were used: 1RM bench press (BP, lb), 1RM leg press (LP, lb), maximal push-up repetition (PU, #), and flexed arm hang time (FAH, sec). Two cardiorespiratory endurance measures were used: maximal oxygen consumption (VO2, ml/kg/min) and physical activity rating score (PAR, 0 thru 10). One flexibility measure was used: sit-and-reach (SNR, cm). The countermovement vertical jump (VJ, in) was used as the single predictor variable and participants were categorized into high or low VJ groups using the sex-specific median. Results: Male-specific multivariate analysis of variance (MANOVA) results showed that VJ significantly predicts the linear combination of body composition (λ=0.85, F=4.8, p=.004), muscular fitness (λ=0.66, F=10.4, pConclusion: Results from this study indicate that VJ is a valid predictor of health-related fitness performance in college students.
Hepatic PGC-1 has minor regulatory effect on the liver transcriptome and metabolome during high fat high fructose diet and exercise training

The prevalence of non-alcoholic fatty liver diseases (NAFLD) has reached epidemic levels during recent years and a major driver of NAFLD are diets high in fat and fructose. A common practice in the treatment of NAFLD are lifestyle interventions including for example increased physical activity. The transcriptional coactivator peroxisome proliferator-activated receptor gamma coactivator 1 α (PGC-1 α ) has been shown to be central in mediating the beneficial effects of exercise training by regulating the expression of key metabolic genes. However, the sig- nificance of hepatic PGC-1 α for high fat high fructose (HFFD) induced changes in gene expression and metabolites associated with NAFLD has not been elucidated. Therefore the aim of the present study was to investigate the effect of hepatic PGC-1 α on HFFD and exercise-induced changes in the hepatic transcriptome and metabolome in mice. Using gene-arrays and 1 H NMR spectroscopy, the liver transcriptome and metabolome of liver- specific PGC-1 α knock-out mice receiving either standard chow, HFFD or HFFD + exercise (HFFD + Ex) were determined. In total 122 genes were identified as differently expressed in mice receiving HFFD for 13 weeks compared to chow, while the loss of hepatic PGC-1 α only had very minor effects on the transcriptome. The same was observed for the liver metabolome. The effect of 4 weeks exercise training in combination with 13 weeks of HFFD, had small effects on the transcriptome and metabolome compared to HFFD alone. Together our results highlight a minor regulatory effect of hepatic PGC-1 α on the liver transcriptome during high fat high fructose diet and exercise training.
Examination of the Weighted Root Mean Square Residual: Evidence for Trustworthiness?

This study examined the performance of the weighted root mean square residual (WRMR) through a simulation study using confirmatory factor analysis with ordinal data. Values and cut scores for the WRMR were examined, along with a comparison of its performance relative to commonly cited fit indexes. The findings showed that WRMR illustrated worse fit when sample size increased or model misspecification increased. Lower (i.e., better) values of WRMR were observed when nonnormal data were present, there were lower loadings, and when few categories were analyzed. WRMR generally illustrated expected patterns of relations to other well-known fit indexes. In general, a cutoff value of 1.0 appeared to work adequately under the tested conditions and the WRMR values of “good fit” were generally in agreement with other indexes. Users are cautioned that when the fitted model is misspeficifed, the index might provide misleading results under situations where extremely large sample sizes are used.
I NVESTIGATING MULTI - TASK PRETRAINING AND GEN - ERALIZATION IN REINFORCEMENT LEARNING

Deep reinforcement learning (RL) has achieved remarkable successes in complex single-task settings. However, designing RL agents that can learn multiple tasks and leverage prior experience to quickly adapt to a related new task remains challenging. Despite previous attempts to improve on these areas, our understanding of multi-task training and generalization in RL remains limited. To fill this gap, we investigate the generalization capabilities of a popular actor-critic method, IMPALA (Espeholt et al., 2018). Specifically, we build on previous work that has advocated for the use of modes and difficulties of Atari 2600 games as a challenging benchmark for transfer learning in RL (Farebrother et al., 2018; Rusu et al., 2022). We do so by pretraining an agent on multiple variants of the same Atari game before fine-tuning on the remaining never-before-seen variants. This protocol simplifies the multi-task pretraining phase by limiting negative interference between tasks and allows us to better understand the dynamics of multi-task training and generalization. We find that, given a fixed amount of pretraining data, agents trained with more variations are able to generalize better. Surprisingly, we also observe that this advantage can still be present after fine-tuning for 200M environment frames than when doing zero-shot transfer. This highlights the potential effect of a good learned representation. We also find that, even though small networks have remained popular to solve Atari 2600 games, increasing the capacity of the value and policy network is critical to achieve good performance as we increase the number of pretraining modes and difficulties. Overall, our findings emphasize key points that are essential for efficient multi-task training and generalization in reinforcement learning.
Evaluation of an antioxidant diet for tilapia Oreochromis niloticu s with mango and roselle by-products inclusion

The aquaculture industry experiences a growing interest in implementing antioxidants from natural origin in diets because the synthetic ones are associated to carcinogenic and teratogenic effects. Additionally, synthetic antioxidants have been included in such diets to prevent lipid oxidation during storage and distribution, without a perspective of the organisms health, since they require micronutrients, such as bioactive compounds, mainly antioxidants. Thus, mango and roselle by-products (rich in bioactive compounds) were included in an aquaculture diet, assessed on its antioxidant properties by distincts technics: antiradical activity 2, 2-diphenyl-1-pricrylhydrazyl (DPPH ● ), ferric reducing antioxidant power (FRAP) and phenolic compounds concentration. In addition, with this feed, tilapia Oreochromis niloticus fingerlings-juveniles were fed and compared with a reference and commercial diets respect their performance in a laboratory scale, according to the main parameters evaluated in aquaculture. With respect to the results obtained by the 3 techniques used, antioxidant properties of the diet are increased with the inclusion of the novel inputs. No differences were found between supplied feeds for biological parameters assessed in the tilapia, so no negative effect was considered during feeding with the novel functional diet. Therefore, the potential use of the evaluated by-products in commercial diets is inferred and an assessment of the functional feed during the next rearing stages of the species under commercial rearing conditions is suggested.
Detailed Analysis of Simultaneous Renal and Liver Allografts in the Presence of DSA

Background. Liver allografts protect renal allografts from the same donor from some, but not all, preformed donor specific alloantibodies (DSA). However, the precise mechanisms of protection and the potential for more subtle alterations/injuries within the grafts resulting from DSA interactions require further study. Methods. We reevaluated allograft biopsies from simultaneous liver-kidney transplant recipients who had both allografts biopsied within 60 d of one another and within 30 d of DSA being positive in serum (positive: mean florescence intensity ≥5000). Routine histology, C4d staining, and specialized immunohistochemistry for Kupffer cells (KCs; CD163) and a C4d receptor immunoglobulin-like transcript-4 were carried out in 4 patients with 6 paired biopsies. Results. Overt antibody-mediated rejection was found in 3 of 4 renal and liver allografts. One patient had biopsy-confirmed renal and liver allograft antibody-mediated rejection despite serum clearance of DSA. All biopsies showed KC hypertrophy (minimal: 1; mild: 2; moderate: 1; severe: 2) and cytoplasmic C4d KC staining was easily detected in 2 biopsies from 2 patients; minimal and negative in 2 biopsies each. Implications of which are discussed. Control 1-y protocol liver allograft biopsies from DSA– recipients showed neither KC hypertrophy nor KC C4d staining (n = 6). Conclusions. Partial renal allograft protection by a liver allograft from the same donor may be partially mediated by phagocytosis/elimination of antibody and complement split products by KCs, as shown decades ago in controlled sensitized experimental animal experiments.
Biomarker Signatures of Severe Acute Kidney Injury in a Critically Ill Cohort of COVID-19 and Non-COVID-19 Acute Respiratory Illness

IMPORTANCE: Kidney and lung injury are closely inter-related during acute respiratory illness, but the molecular risk factors that these organ injuries share are not well defined. OBJECTIVES: We identified plasma biomarkers associated with severe acute kidney injury (AKI) during acute respiratory illness, and compared them to biomarkers associated with severe acute respiratory failure (ARF). DESIGN, SETTINGS, AND PARTICIPANTS: Prospective observational cohort study enrolling March 2020 through May 2021, at three hospitals in a large academic health system. We analyzed 301 patients admitted to an ICU with acute respiratory illness. MAIN OUTCOMES AND MEASURES: Outcomes were ascertained between ICU admission and day 14, and included: 1) severe AKI, defined as doubling of serum creatinine or new dialysis and 2) severe ARF, which included new or persistent need for high-flow oxygen or mechanical ventilation. We measured biomarkers of immune response and endothelial function, pathways related to adverse kidney and lung outcomes, in plasma collected within 24 hours of ICU admission. Severe AKI occurred in 48 (16%), severe ARF occurred in 147 (49%), and 40 (13%) patients experienced both. Two-fold higher concentrations of soluble tumor necrosis factor receptor-1 (sTNFR-1) (adjusted relative risk [aRR], 1.56; 95% CI, 1.24–1.96) and soluble triggering receptor on myeloid cells-1 (sTREM-1) (aRR, 1.85; 95% CI, 1.42–2.41), biomarkers of innate immune activation, were associated with higher risk for severe AKI after adjustment for age, sex, COVID-19, and Acute Physiology and Chronic Health Evaluation-III. These biomarkers were not significantly associated with severe ARF. Soluble programmed cell death receptor-1 (sPDL-1), a checkpoint pathway molecule, as well as soluble intercellular adhesion molecule-1 (sICAM-1) and soluble vascular adhesion molecule-1 (sVCAM-1), molecules involved with endothelial-vascular leukocyte adhesion, were associated with both severe AKI and ARF. CONCLUSIONS AND RELEVANCE: sTNFR-1 and sTREM-1 were linked strongly to severe AKI during respiratory illness, while sPDL-1, sICAM-1 and sVCAM-1 were associated with both severe AKI and ARF. These biomarker signatures may shed light on pathophysiology of lung-kidney interactions, and inform precision medicine strategies for identifying patients at high risk for these organ injuries.