Miracle-dz/UniFAR-FTUs huggingface dataset:
Entrepreneurial Intensity and Firm Performance: The Role of Institutional Ambidexterity

The performance implications of entrepreneurial intensity and ambidexterity have been extensively, yet separately, examined. In addition, past research has seldom analyzed the performance implication of ambidexterity at institutional levels. Moreover, questions remain unanswered regarding the benefits that derive from the ambidextrous levels of institutional environments. To address this issue, this paper uses the concept of institutional ambidexterity, which is the balanced and simultaneous presence of both exploration and exploitation orientations that are derived from the layers of the firms’ institutional environment. A model is developed to analyze the role of institutional ambidexterity on entrepreneurial intensity and its moderating effect on the relationship between entrepreneurial intensity and firm performance. This model is empirically tested on a very large sample in the French wine context. First, the results uncover some interesting differences in the underlying drivers of entrepreneurial intensity in ambidextrous versus nonambidextrous multilayered institutional environments. Second, the results also show that entrepreneurial intensity positively influences firm performance. Finally, decomposition analyses further indicate that institutional ambidexterity moderates the influence between entrepreneurial intensity and perceptual as well as objective measures of performance.
Intragenomic variation in non-adaptive nucleotide biases causes underestimation of selection on synonymous codon usage

Patterns of non-uniform usage of synonymous codons vary across genes in an organism and between species across all domains of life. This codon usage bias (CUB) is due to a combination of non-adaptive (e.g. mutation biases) and adaptive (e.g. natural selection for translation efficiency/accuracy) evolutionary forces. Most models quantify the effects of mutation bias and selection on CUB assuming uniform mutational and other non-adaptive forces across the genome. However, non-adaptive nucleotide biases can vary within a genome due to processes such as biased gene conversion (BGC), potentially obfuscating signals of selection on codon usage. Moreover, genome-wide estimates of non-adaptive nucleotide biases are lacking for non-model organisms. We combine an unsupervised learning method with a population genetics model of synonymous coding sequence evolution to assess the impact of intragenomic variation in non-adaptive nucleotide bias on quantification of natural selection on synonymous codon usage across 49 Saccharomycotina yeasts. We find that in the absence of a priori information, unsupervised learning can be used to identify genes evolving under different non-adaptive nucleotide biases. We find that the impact of intragenomic variation in non-adaptive nucleotide bias varies widely, even among closely-related species. We show that the overall strength and direction of translational selection can be underestimated by failing to account for intragenomic variation in non-adaptive nucleotide biases. Interestingly, genes falling into clusters identified by machine learning are also physically clustered across chromosomes. Our results indicate the need for more nuanced models of sequence evolution that systematically incorporate the effects of variable non-adaptive nucleotide biases on codon frequencies.
Access Adaptive and Thread-Aware Cache Partitioning in Multicore Systems

Cache partitioning is a successful technique for saving energy for a shared cache and all the existing studies focus on multi-program workloads running in multicore systems. In this paper, we are motivated by the fact that a multi-thread application generally executes faster than its single-thread counterpart and its cache accessing behavior is quite different. Based on this observation, we study applications running in multi-thread mode and classify data of the multi-thread applications into shared and private categories, which helps reduce the interferences among shared and private data and contributes to constructing a more efficient cache partitioning scheme. We also propose a hardware structure to support these operations. Then, an access adaptive and thread-aware cache partitioning (ATCP) scheme is proposed, which assigns separate cache portions to shared and private data to avoid the evictions caused by the conflicts from the data of different categories in the shared cache. The proposed ATCP achieves a lower energy consumption, meanwhile improving the performance of applications compared with the least recently used (LRU) managed, core-based evenly partitioning (EVEN) and utility-based cache partitioning (UCP) schemes. The experimental results show that ATCP can achieve 29.6% and 19.9% average energy savings compared with LRU and UCP schemes in a quad-core system. Moreover, the average speedup of multi-thread ATCP with respect to single-thread LRU is at 1.89.
Emergent craniotomy in rural and regional settings: recommendations from a tertiary neurosurgery unit: diagnosis and surgical decision‐making

Largely attributed to the tyranny of distance, timely transfer of patients with major traumatic brain injuries (TBI) from rural or regional hospitals to metropolitan trauma centres is not always feasible. This has warranted emergent craniotomies to be undertaken by non‐neurosurgeons at their local hospitals with previous acceptable results reported in regional Australia. Our institution endorses this ongoing potentially life‐saving practice when necessary and emphasize the need for neurosurgical units to provide ongoing TBI education to peripheral hospitals. In this first of a two‐part narrative review, the authors describe the recommended diagnostic pathway for patients with a suspected TBI presenting to rural or regional hospitals and discuss local surgical management options in the presence or absence of a CT scanner.
The Key Role of Metal Adducts in the Differentiation of Phosphopeptide from Sulfopeptide Sequences by High-Resolution Mass Spectrometry

Site localization of protein sulfation by high-throughput proteomics remains challenging despite the technological improvements. In this study, sequence analysis and site localization of sulfation in tryptic peptides were determined under a conventional nano-liquid chromatography-mass spectrometry configuration. Tryptic sulfopeptide standards were used to study different fragmentation strategies, including collision-induced dissociation (CID), higher-energy collisional dissociation (HCD), electron-transfer dissociation (ETD), electron-transfer/higher-energy collision dissociation (EThcD), and electron-transfer/collision-induced dissociation (ETciD), in the positive ionization mode. Sulfopeptides displayed only neutral loss of SO3 under CID, while the sequence could be determined for all other tested fragmentation techniques. Results were compared to the same sequences with phosphotyrosine, indicating important differences, as the sequence and modification localization could be studied by all fragmentation strategies. However, the use of metal adducts, especially potassium, provided valuable information for sulfopeptide localization in ETD and ETD-hybrid strategies by stabilizing the modification and increasing the charge state of sulfopeptides. In these conditions, both the sequence and localization could be obtained. In-source neutral loss of SO3 under EThcD provided diagnostic peaks suitable to distinguish the sulfopeptides from the nearly isobaric phosphopeptides. Further confirmation on the modification type was found in the negative ionization mode, where phosphopeptides always had the typical phosphate product ion corresponding to PO3–.
Modulating the Excitability of Olfactory Output Neurons Affects Whole-Body Metabolism

Metabolic state can alter olfactory sensitivity, but it is unknown whether the activity of the olfactory bulb (OB) may fine tune metabolic homeostasis. Our objective was to use CRISPR gene editing in male and female mice to enhance the excitability of mitral/tufted projection neurons (M/TCs) of the OB to test for improved metabolic health. Ex vivo slice recordings of MCs in CRISPR mice confirmed increased excitability due the targeted loss of Kv1.3 channels, which resulted in a less negative resting membrane potential (RMP), enhanced action potential (AP) firing, and insensitivity to the selective channel blocker margatoxin (MgTx). CRISPR mice exhibited enhanced odor discrimination using a habituation/dishabituation paradigm. CRISPR mice were challenged for 25 weeks with a moderately high-fat (MHF) diet, and compared with littermate controls, male mice were resistance to diet-induced obesity (DIO). Female mice did not exhibit DIO. CRISPR male mice gained less body weight, accumulated less white adipose tissue, cleared a glucose challenge more quickly, and had less serum leptin and liver triglycerides. CRISPR male mice consumed equivalent calories as control littermates, and had unaltered energy expenditure (EE) and locomotor activity, but used more fats for metabolic substrate over that of carbohydrates. Counter to CRISPR-engineered mice, by using chemogenetics to decrease M/TC excitability in male mice, activation of inhibitory designer receptors exclusively activated by designer drugs (DREADDs) caused a decrease in odor discrimination, and resulted in a metabolic profile that was obesogenic, mice had reduced EE and oxygen consumption (VO2). We conclude that the activity of M/TC projection neurons canonically carries olfactory information and simultaneously can regulate whole-body metabolism. SIGNIFICANCE STATEMENT The olfactory system drives food choice, and olfactory sensitivity is strongly correlated to hunger and fullness. Olfactory function thereby influences nutritional balance and obesity outcomes. Obesity has become a health and financial crisis in America, shortening life expectancy and increasing the severity of associated illnesses. It is expected that 51% of Americans will be obese by the year 2030. Using CRISPR gene editing and chemogenetic approaches, we discovered that changing the excitability of output neurons in the olfactory bulb (OB) affects metabolism and body weight stabilization in mice. Our results suggest that long-term therapeutic targeting of OB activity to higher processing centers may be a future clinical treatment of obesity or type II Diabetes.
Asymmetric effects in the extended X-ray absorption fine structure analysis of solid and liquid zinc

Extended X-ray absorption fine structure (EXAFS) results are presented for solid and liquid Zn for the temperature range 273 to 782 K. At the higher temperatures the distribution of nearest neighbour atoms is asymmetric. Neglect of the asymmetry and use of EXAFS analysis methods developed for symmetric distribution functions gives an underestimate of the nearest neighbour distance R1 and the disorder parameter σ12. It is shown that a transform analysis can be useful in detecting asymmetric effects, and methods of analyzing the EXAFS of asymmetric distributions are presented. An anharmonic oscillator model is applied to the EXAFS data of polycrystalline Zn to correct the values of R1 and σ12. The corrected values of σ12 are found to be~20% higher than those predicted by a Debye model. An empirical, analytically simple asymmetric distribution function is fitted to the liquid data to obtain promising agreement with the nearest neighbour structure as deduced from X-ray diffraction studies. Finally it is shown.
Testing for an irrelevant regressor in a simple cointegration analysis

This paper investigates the asymptotic behavior of the t-ratio associated to an irrelevant variable in a three-variable cointegration analysis. It is proved that the t-ratio converges to a non-standard distribution suitable for statistical inference. Although the test-statistic is not pivotal when the innovations are serially correlated, Monte Carlo evidence suggests that the size distortion can be considerably mitigated by means of HAC standard errors. I would like to thank the editor and the anonymous referee for very helpful advice. The usual disclaimer applies. Citation: Daniel Ventosa-santaulària, (2010) ''Testing for an irrelevant regressor in a simple cointegration analysis'', Economics Bulletin, Vol. 30 no.2 pp. 1333-1345. Submitted: Nov 19 2009. Published: May 12, 2010.
BABY BOOM regulates early embryo and endosperm development

Significance The zygote is a totipotent structure that develops into an embryo with all of the cells needed to produce an entire plant. The BABY BOOM (BBM) transcription factor induces spontaneous asexual embryo development on plant organs when ectopically expressed. Although BBM is at the top of a transcriptional network that promotes asexual embryo development, little is known about its expression and role during zygotic embryogenesis. Here we show in Arabidopsis that BBM regulates the progression of zygotic embryo development and embryo patterning, and division and cellularization of the filial endosperm. In line with its role as a totipotency factor, ectopic BBM expression in the egg cell is also sufficient to induce haploid embryo development in Arabidopsis and dicot crops.
Pleiotropic roles of N-glycans for enzyme activities and stabilities of MIPC synthases, Csh1 and Sur1/Csg1, in Saccharomyces cerevisiae.

Mannosyl phosphorylceramide (MIPC) is a membrane lipid classified as a complex sphingolipid in Saccharomyces cerevisiae. MIPC is synthesized by two redundant enzymes, Sur1/Csg1 and Csh1, in the Golgi lumen. MIPC consists of five subtypes (A, B', B, C, and D-type) according to the position and number of hydroxyl groups on the ceramide moiety. Sur1 exerts higher impact on synthesis of MIPC-B and MIPC-C than Csh1. In this study, we elucidated the roles played by N-glycans attached to Sur1 and Csh1, and dissected the mechanisms underlying substrate recognition by these two enzymes. Sur1 carries an N-glycan on Asn-224, while Csh1 has N-glycans on Asn-51 and Asn-247. Although intracellular proteins usually harbor core-type N-glycans, the N-glycan on Asn-51 of Csh1 exhibited a unique mannan-like structure containing a long backbone of mannose. Sur1 N224Q and Csh1 N51Q mutants exhibited a decrease in the activity to synthesize specific MIPC subtypes for each enzyme, suggesting that these N-glycans play a role in substrate recognition through their catalytic domains. Moreover, ectopic insertion of an N-glycosylation consensus sequence (NST) at codon 51 of Sur1 (Sur1-NST51) resulted in an artificial modification with mannan, which markedly decreased protein stability. Our results suggest that the diminished stability of the Sur1-NST51 mutant protein could be attributable to potential structural alterations by the mannan. Collectively, the present study reveals essential luminal domains of Sur1 and Csh1 that dictate substrate specificity and/or the protein stabilities via mannan modification.
On the statistical mechanics of violent relaxation

We reexamine the foundations of Lynden-Bell's statistical mechanical discussion of violent relaxation in collisionless stellar systems. We argue that Lynden-Bell's formulation in terms of a continuum description introduces unnecessary complications, and we consider a more conventional formulation in terms of particles. We then find the exclusion principle discovered by Lynden-Bell to be quantitatively important only at phase densities where two-body encounters are no longer negligible. Since the edynamical basis for the exclusion principle vanishes in such cases anyway, Lynden-Bell statistics always reduces in practice to Maxwell-Boltzmann statistics when applied to stellar systems. Lynden-Bell also found the equilibrium distribution function generally to be a sum of Maxwellians with velocity dispersions dependent on the phase density at star formation. We show that this difficulty vanishes in the particulate description for an encounterless stellar system as long as stars of different masses are initially well mixed in phase space. Our methods also demonstrate the equivalence between Gibbs's formalism which uses the microcanonical ensemble and Boltzmann's formalism which uses a coarse-grained continuum description. In addition, we clarify the concept of irreversible behavior on a macroscopic scale for an encounterless stellar system. Finally, we comment on the use of unusual macroscopic constraints to simulate themore » effects of incomplete relaxation. « less
Single-Cell Metabolic Profiling of Macrophages Using 3D OrbiSIMS: Correlations with Phenotype

Macrophages are important immune cells that respond to environmental cues acquiring a range of activation statuses represented by pro-inflammatory (M1) and anti-inflammatory (M2) phenotypes at each end of their spectrum. Characterizing the metabolic signature (metabolic profiling) of different macrophage subsets is a powerful tool to understand the response of the human immune system to different stimuli. Here, the recently developed 3D OrbiSIMS instrument is applied to yield useful insight into the metabolome from individual cells after in vitro differentiation of macrophages into naïve, M1, and M2 phenotypes using different cytokines. This analysis strategy not only requires more than 6 orders of magnitude less sample than traditional mass spectrometry approaches but also allows the study of cell-to-cell variance. Characteristic metabolites in macrophage subsets are identified using a targeted lipid and data-driven multivariate approach highlighting amino acids and other small molecules. The diamino acids alanylasparagine and lipid sphingomyelin SM(d18/16:0) are uniquely found in M1 macrophages, while pyridine and pyrimidine are observed at increased intensity in M2 macrophages, findings which link to known biological pathways. The first demonstration of this capability illustrates the great potential of direct cell analysis for in situ metabolite profiling with the 3D OrbiSIMS to probe functional phenotype at the single-cell level using molecular signatures and to understand the response of the human body to implanted devices and immune diseases.
Special issue “The advance of solid tumor research in China”: Presurgical therapy in the management of local retroperitoneal recurrence of renal cell carcinoma after radical nephrectomy

Local retroperitoneal recurrence (RPR) after radical nephrectomy (RN) is rare in patients with renal cell carcinoma (RCC); however, it is associated with poor prognosis and lacks standard treatment. Our study aimed to assess oncological outcomes and prognostic factors of patients that underwent targeted therapy for RPR after RN, and to evaluate the role of presurgical targeted therapy in this context. This was a retrospective multicenter study of 85 patients with RPR treated with targeted therapy for RPR after RN (July 2008‐October 2020). Clinical and pathological characteristics were reported using descriptive statistics. Cancer‐specific survival (CSS) was examined using the Cox proportional hazards model. The median follow‐up time was 50 months (95% confidence interval [CI]: 33.3‐66.7) after the RPR diagnosis. The median CSS was 96 months in the presurgical targeted therapy followed by surgical resection group and 42 months (95% CI: 28.8‐55.2) in the targeted therapy alone group (P = .0011). In multivariate analysis, International Metastatic RCC Database Consortium classification intermediate/poor risk, number of recurrence lesions and surgical resection were independent predictors of CSS. Presurgical targeted therapy may increase the feasibility of tumor resection for RPR after RN. Patients who underwent surgical resection following presurgical targeted therapy had better CSS than those treated with targeted therapy alone.
Perception of Interprofessional Education among Students Following Pharmacy Studies

Introduction: Interprofessional Education (IPE) activities are a first experience of real-world patient care practice for students, where collaboration with different professions is appreciated. Methods and timing of inclusion of IPE are not well-defined, and it is interesting to assess students’ perception on IPE activities. Objective: To assess changes in pharmacy students’ perception of IPE before (t0) and after (t1) an IPE activity. Methods: The ‘Student Perceptions of Interprofessional Clinical Education–Revised 2’ (SPICE-R2) tool was adopted to assess perception of IPE activities in third year pharmacy students, final year pharmacy students and in postgraduate Doctorate in Pharmacy (PharmD) students at t0 and t1. Results: The SPICE-R2 tool was completed at t0 and t1 by 61 students: 12 third year pharmacy students, 13 final year students and 36 PharmD students. A significant improvement between t0 and t1 (P < .05) was measured in the three groups of students for all three subscales of the tool. The largest improvement was observed in the ‘Roles/Responsibilities for Collaborative Practice’ subscale in all three groups of students. Conclusion: Perception of IPE was positively increased in all three student groups. The results could be useful to support the design of IPE activities within pharmacy programmes.
Multilocus sequence typing (MLST) analysis reveals many novel genotypes and a high level of genetic diversity in Candida tropicalis isolates from Italy and Africa

Candida tropicalis is a human pathogenic yeast frequently isolated in Latin America and Asian‐Pacific regions, although recent studies showed that it is also becoming increasingly widespread throughout several African and south‐European countries. Nevertheless, relatively little is known about its global patterns of genetic variation as most of existing multilocus sequence typing (MLST) data come from Asia and there are no genotyped African isolates.
Dark Triad Personality and Phubbing: The Mediator Role of Fomo

Phubbing among undergraduate has become an area of increasing research interest in recent years. In recent years, studies on phubbing have increased. However, no empirical study has deal with the mediating effect of fear of missing out (FoMO) on the relationship between dark triad and phubbing. The dark triad refers to three personality traits: Machiavellianism, psychopathy, and narcissism. Machiavellianism is characterized by prioritizing one’s own wishes and desires. Psychopathy, is a personality trait where lack of emotion and self-control is seen. Narcissism is characterized by low empathy and egocentrism. Thus, the purpose of this study was to examine whether FoMO mediator between dark triad and phubbing among undergraduates. For this purpose, structural equation modeling and bootstrapping method was used. Mediation analyses were performed using AMOS 22.00. The present study comprised 506 undergraduate (%70.7 female; %29.3 male). The age of the participants ranged between 18 and 29 (x = 22.41). The measures used included the General Scale of Phubbing, Fear of Missing Out Scale, and Dirty Dozen Scale. The results showed that FoMO mediated the relationship between dark triad and phubbing. The results of bootstrapping procedure indicated that the indirect effect of FoMO on the relationship between dark triad and phubbing was significant. In conclusion, the study suggests that FoMO is a meaningful mediator in the relationship between dark triad and phubbing. Research results are discussed in the light of the related literature and suggestions are presented for future researchers.
Extensively drug-resistant (XDR) Neisseria gonorrhoeae causing possible gonorrhoea treatment failure with ceftriaxone plus azithromycin in Austria, April 2022

We describe a gonorrhoea case with ceftriaxone plus high-level azithromycin resistance. In April 2022, an Austrian heterosexual male was diagnosed with gonorrhoea after sexual intercourse with a female sex worker in Cambodia. Recommended treatment with ceftriaxone (1 g) plus azithromycin (1.5 g) possibly failed. Worryingly, this is the second strain in an Asian Neisseria gonorrhoeae genomic sublineage including high-level azithromycin-resistant strains that developed ceftriaxone resistance by acquisition of mosaic penA-60.001. Enhanced resistance surveillance and actions are imperative to prevent spread.