Miracle-dz/UniFAR-FTUs huggingface dataset:
Harvest Indices for Pickling Cucumbers in Once-Over Harvested Systems1

Experiments were conducted in the spring and fall of 1967 and the spring of 1968 to determine harvest indices and to evaluate the rate of fruit development and changing grade sizes for both white- and black-spined cucumbers. White-spined ‘Southern Cross’ and black-spined ‘Piccadilly’ were used. Per-acre plant populations in the order of 100,000 in the spring and 70,000 in the fall were established using gynoecious cultivars. The first plots were harvested when only a few marketable fruits were present; subsequent plots were harvested at 2- or 3-day intervals for a total of 8 per experiment. The single deviation from this was the 7-day interval between the seventh and eighth harvests of the fall experiment. Maximum returns per acre occurred when the proportion of fruit greater than 2 inches in diameter ranged from 14 to 31% of the total weight. It is suggested that plantings should be harvested as soon as fruits larger in diameter than 2 inches are found in the field. In spring plantings the percentage of plants bearing fruit reached 91 whereas those in the fall trial reached 98. The average number of fruit per plant did not exceed 1.27 in any trial.
RoLEX: The development of an extended Romanian lexical dataset and its evaluation at predicting concurrent lexical information

Abstract In this article, we introduce an extended, freely available resource for the Romanian language, named RoLEX. The dataset was developed mainly for speech processing applications, yet its applicability extends beyond this domain. RoLEX includes over 330,000 curated entries with information regarding lemma, morphosyntactic description, syllabification, lexical stress and phonemic transcription. The process of selecting the list of word entries and semi-automatically annotating the complete lexical information associated with each of the entries is thoroughly described. The dataset’s inherent knowledge is then evaluated in a task of concurrent prediction of syllabification, lexical stress marking and phonemic transcription. The evaluation looked into several dataset design factors, such as the minimum viable number of entries for correct prediction, the optimisation of the minimum number of required entries through expert selection and the augmentation of the input with morphosyntactic information, as well as the influence of each task in the overall accuracy. The best results were obtained when the orthographic form of the entries was augmented with the complete morphosyntactic tags. A word error rate of 3.08% and a character error rate of 1.08% were obtained this way. We show that using a carefully selected subset of entries for training can result in a similar performance to the performance obtained by a larger set of randomly selected entries (twice as many). In terms of prediction complexity, the lexical stress marking posed most problems and accounts for around 60% of the errors in the predicted sequence.
Intrapreneurship and regional development in the South East of Ireland

ABSTRACT Intrapreneurship is known to play an important role in enhancing innovation and competitiveness within firms. However, there remains a dearth of literature on the workings of intrapreneurship at the regional level. Based on a qualitative analysis of intrapreneurship in the South East Region of Ireland, this paper explores the link between intrapreneurship and regional development. It makes several contributions that further the understanding of intrapreneurship at the regional level: (1) we detail the manner in which intrapreneurship emerges in distinct corporate contexts; (2) we identify the main barriers and challenges to intrapreneurship in these different contexts; and (3) we provide evidence that sets out the relative importance of the two key routes through which intrapreneurship stimulates regional development: firm growth and new firm formation.
Numerical investigation of the shear behavior of reinforced ultra‐high‐performance concrete beams

This computational investigation focused on numerical modeling of the shear behavior of ultra‐high‐performance concrete (UHPC) beams reinforced longitudinally with high‐strength rebars and ordinary‐strength steel (stirrups). Nonlinear three‐dimensional finite element model, using the concrete damaged plasticity model and material properties obtained from uniaxial compressive and tensile laboratory tests, was conducted to simulate UHPC concrete beams within a commercial finite element software package ABAQUS 6.13. This investigation included the effects of various parameters; shear span‐to‐effective depth ratio (a/d), volume fraction of steel fibers, Vf, longitudinal reinforcement ratio, ρ, and stirrups spacing, s, on shear behavior of UHPC beams. Numerical results compared with previously obtained experimental results in terms of shear force–midspan deflection and cracking‐propagation behaviors. The results showed that finite element analysis predicted the shear behavior of UHPC beams in good agreement with the experimental data and predicted the response of the beam with variation in various parameters with a good accuracy.
131I-C19 Iodide Radioisotope and Synthetic I-C19 Compounds as K-Ras4B–PDE6δ Inhibitors: A Novel Approach against Colorectal Cancer—Biological Characterization, Biokinetics and Dosimetry

In 40–50% of colorectal cancer (CRC) cases, K-Ras gene mutations occur, which induce the expression of the K-Ras4B oncogenic isoform. K-Ras4B is transported by phosphodiesterase-6δ (PDE6δ) to the plasma membrane, where the K-Ras4B–PDE6δ complex dissociates and K-Ras4B, coupled to the plasma membrane, activates signaling pathways that favor cancer aggressiveness. Thus, the inhibition of the K-Ras4B–PDE6δ dissociation using specific small molecules could be a new strategy for the treatment of patients with CRC. This research aimed to perform a preclinical proof-of-concept and a therapeutic potential evaluation of the synthetic I-C19 and 131I-C19 compounds as inhibitors of the K-Ras4B–PDE6δ dissociation. Molecular docking and molecular dynamics simulations were performed to estimate the binding affinity and the anchorage sites of I-C19 in K-Ras4B–PDE6δ. K-Ras4B signaling pathways were assessed in HCT116, LoVo and SW620 colorectal cancer cells after I-C19 treatment. Two murine colorectal cancer models were used to evaluate the I-C19 therapeutic effect. The in vivo biokinetic profiles of I-C19 and 131I-C19 and the tumor radiation dose were also estimated. The K-Ras4B–PDE6δ stabilizer, 131I-C19, was highly selective and demonstrated a cytotoxic effect ten times greater than unlabeled I-C19. I-C19 prevented K-Ras4B activation and decreased its dependent signaling pathways. The in vivo administration of I-C19 (30 mg/kg) greatly reduced tumor growth in colorectal cancer. The biokinetic profile showed renal and hepatobiliary elimination, and the highest radiation absorbed dose was delivered to the tumor (52 Gy/74 MBq). The data support the idea that 131I-C19 is a novel K-Ras4B/PDE6δ stabilizer with two functionalities: as a K-Ras4B signaling inhibitor and as a compound with radiotherapeutic activity against colorectal tumors.
Simulating a white dwarf dominated halo

Halo initial mass functions (IMFs) heavily biased toward white dwarf (WD) precursors (similar to 1 - 8Mcircle dot) have been suggested as a suitable mechanism for explaining MACHO events. However, by simple chemical evolution argument, Gibson Mould (1997; GM97) pointed out that such WD-heavy IMFs (wdIMF) cause the overproduction of carbon and nitrogen. We re-examine this problem using numerical simulations.
German particle verbs with 'auf': reconstructing their composition in a DRT-based framework

The paper presents the results of a comprehensive case study which examined to what extent the semantics of particle verbs with auf can be understood as composed from the semantics of their parts. We give substance to our leading hypothesis that the semantics of particle constructions can be reconstructed as rule-based by means of semantics construction algorithms in a DRT-based framework. The compositional process is displayed through merging the semantic representations of the verbal root and the particle. Composition, as it is made operative in the DRT-framework, is akin to processes of presupposition justification as familiar from Dynamic Semantics. This method is shown appropriate for modelling the wide spectrum of compositional mechanisms which have to be taken into account in the formal semantics of particle verbs. The ambiguity of the particle auf can be reconstructed as restricted to only a few core meanings, some of which are familiar from the literature. We present lexical entries for the core meanings, apply them in the semantics construction and discuss sub-cases as well as metaphorical extensions.
Psychology of Women Quarterly: Citation Network Analysis of Its Landscape and Evolution

Psychology of Women Quarterly (PWQ) is a leading outlet for feminist psychology research. To elucidate the interrelations of PWQ publications over time, we conducted a citation network analysis of its 2,747 articles and 4,517 citation links. Of the 16 citation clusters that emerged, many echoed key elements of PWQ's scope. These included Cluster 1: feminist consciousness and sexism; Cluster 2: body image and objectification; Cluster 3: feminist psychology, epistemology, and methodology; Cluster 4: gender and educational and occupational experiences; Cluster 5: rape and sexual assault; Cluster 6: power and violence in close relationships; Cluster 7: sexual harassment and workplace discrimination; and Cluster 8: women and power with attention to race and nation. Areas of citation disconnection revealed avenues for resisting citation silos and advancing pantheoretical feminist frameworks on the continuum of patriarchal violence. Small and discontinued clusters were areas ripe for feminist revisiting (e.g., reproductive justice). PWQ articles were cited in an increasing number and breadth of journals over time. These findings can inform authors, reviewers, and editors to advance the next decades of scholarship in PWQ in ways that resist citation silos, revive research on critical domains of women's lives, and foster the feminist edge of our scholarship.
Comparative energy-exergy and economic-environmental analyses of recently advanced solar photovoltaic and photovoltaic thermal hybrid dryers: a review

Abstract Solar dryers are equipped with photovoltaic panels to increase energy efficiency, profitability and independency on nonrenewable energy. Also, these dryers need to be assessed from economic, environmental, and energy-exergy perspectives to determine whether the devices are cost-effective and feasible on a large scale. This study has performed energy, exergy, economic, and environmental evaluations on the newest solar dryers equipped with photovoltaic panels and photovoltaic thermal collectors. In this regard, solar dryers with hot air collectors, concentrating solar dryers, photovoltaic thermal dryers, infrared, greenhouse, and heat pump solar dryers equipped with photovoltaic panels and photovoltaic thermal collectors were investigated. Then, studied dryers were categorized. Initially, this classification was carried out regarding the dried products and subsequently, their economic-environmental and energy-exergy were compared. Despite the short drying time of infrared and heat pump solar dryers, these dryers’ construction and energy costs are relatively high. Comparatively to other solar dryers, concentrating solar dryers have high energy efficiency and short drying times.
Importance of computed tomography muscle quality and continuous versus cut-off-based sarcopenia detection in major hepatic surgery

Background The role of the computed tomography (CT)-derived skeletal muscle index (SMI) as a parameter of muscle quantity on the outcome after major liver resection remains contradictory and that of the muscle radiodensity attenuation (MRA) as a parameter of muscle quality has not been sufficiently evaluated. This observational study aimed to investigate the influence of metric SMI and MRA values and cut-off-based CT sarcopenia detection on liver-surgery specific complications measured by the new FABIB (liver failure, ascites, biliary leakage, infection, bleeding) score and survival after hemihepatectomy. Methods A total of 183 patients with major hepatectomy were retrospectively included. The SMI and MRA were determined from the abdominal muscle area of preoperative CT scans. Patients were classified as sarcopenic by the SMI and MRA cut-off values of Prado et al., Martin et al., and van der Werf et al. Postoperative complications were documented according to the Clavien-Dindo classification and FABIB score. The relation of the continuous, non-categoric SMI and MRA values and of the cut-off-based sarcopenia detection to the postoperative complications and survival was analyzed by multivariable linear, logistic, and Cox proportional hazards regression. Results A higher MRA was associated with less severe postoperative complications in the Clavien-Dindo [−0.59 (95% CI: −0.95 to −0.23), P=0.002] and the FABIB score [−0.65 (95% CI: −1.19 to −0.12), P=0.017]. An increase of the SMI did not result in less severe complications in the Clavien-Dindo [0.14 (95% CI: −0.27 to 0.55), P=0.503] or FABIB score [0.17 (95% CI: −0.42 to 0.76), P=0.572]. For patients classified as sarcopenic by the cut-off-based systems no relevant relation to postoperative complications was found. Overall survival was better for a higher MRA [hazard ratio (HR): 0.75 (95% CI: 0.58–0.97), P=0.029], as long-term survival was for a higher SMI [HR: 0.68 (95% CI: 0.47–0.96), P=0.031]. Only below van der Werf’s MRA cut-off the probability of overall and long-term survival was reduced [HR: 2.32 (95% CI: 1.18–4.54), P=0.015; 2.68 (95% CI: 1.25–5.74), P=0.011]. Conclusions The MRA has a stronger influence on complications in the Clavien-Dindo classification and the liver-surgery specific FABIB score than the SMI. Continuous, non-categoric MRA and SMI values are superior to cut-off-based systems in predicting the outcome after major hepatic surgery.
A Transcriptomic Analysis of Phenotypic Plasticity in Crassostrea virginica Larvae under Experimental Acidification

Ocean acidification (OA) is a major threat to marine calcifiers, and little is known regarding acclimation to OA in bivalves. This study combined physiological assays with next-generation sequencing to assess the potential for recovery from and acclimation to OA in the eastern oyster (Crassostrea virginica) and identify molecular mechanisms associated with resilience. In a reciprocal transplant experiment, larvae transplanted from elevated pCO2 (~1400 ppm) to ambient pCO2 (~350 ppm) demonstrated significantly lower mortality and larger size post-transplant than oysters remaining under elevated pCO2 and had similar mortality compared to those remaining in ambient conditions. The recovery after transplantation to ambient conditions demonstrates the ability for larvae to rebound and suggests phenotypic plasticity and acclimation. Transcriptomic analysis supported this hypothesis as genes were differentially regulated under OA stress. Transcriptomic profiles of transplanted and non-transplanted larvae terminating in the same final pCO2 converged, further supporting the idea that acclimation underlies resilience. The functions of differentially expressed genes included cell differentiation, development, biomineralization, ion exchange, and immunity. Results suggest acclimation as a mode of resilience to OA. In addition, the identification of genes associated with resilience can serve as a valuable resource for the aquaculture industry, as these could enable marker-assisted selection of OA-resilient stocks.
Association of recessive c.430G>A (p.(Gly144Arg)) thyroid peroxidase variant with primary congenital hypothyroidism in cats

Abstract Background Primary congenital hypothyroidism (CH) is a rare endocrine disorder in cats with a largely unknown genetic cause. Objectives Describe the clinical presentation of CH in 11 affected cats and identify the causal genetic variant. Animals Eleven CH‐cats from 10 unrelated families, 11 CH‐free family members, 21 unrelated CH‐free cats, and 155 unrelated nondiagnosed cats from different breeds. Methods Case control study of CH‐cats and their siblings (2019‐2021). Diagnosis was based on low to low‐normal serum thyroxine (T4) concentrations, high thyroid‐stimulating hormone (TSH) concentrations and clinical signs compatible with CH. We identified the causal variant using Sanger sequencing, genotyping via PCR‐RFLP and variant interpretation using ACMG/AMP guidelines. Results All CH‐cats (5 weeks‐8 years) had disproportionate dwarfism. A goiter was not palpable in all. Thyroid scintigraphy with radiopertechnetate showed abnormally high uptake by thyroid glands, whereas scintigraphy with radioiodine showed abnormally low uptake, compatible with a defect in iodine organification by thyroid peroxidase (TPO). All cases were homozygous for TPO variant XM_006930524. 4:c.430G>A(p.(Gly144Arg)), while none of the CH‐free cats were. All sampled parents were heterozygous for this recessive variant. This variant was found in 15 cat breeds with an estimated allele frequency of 9%. Conclusions and Clinical Importance Disproportionate dwarfism, abnormally high TSH and abnormally low to low‐normal T4 concentrations are diagnostic for CH in cats. All cases had dyshormonogenesis demonstrated by thyroid scintigraphy. This novel TPO missense variant (not described in humans) causes CH in cats and awareness of it can assist in diagnosis and breeding.
Prognostic Value of Molecular Intratumor Heterogeneity in Primary Oral Cancer and Its Lymph Node Metastases Assessed by Mass Spectrometry Imaging

Different aspects of intra-tumor heterogeneity (ITH), which are associated with the development of cancer and its response to treatment, have postulated prognostic value. Here we searched for potential association between phenotypic ITH analyzed by mass spectrometry imaging (MSI) and prognosis of head and neck cancer. The study involved tissue specimens resected from 77 patients with locally advanced oral squamous cell carcinoma, including 37 patients where matched samples of primary tumor and synchronous lymph node metastases were analyzed. A 3-year follow-up was available for all patients which enabled their separation into two groups: with no evidence of disease (NED, n = 41) and with progressive disease (PD, n = 36). After on-tissue trypsin digestion, peptide maps of all cancer regions were segmented using an unsupervised approach to reveal their intrinsic heterogeneity. We found that intra-tumor similarity of spectra was higher in the PD group and diversity of clusters identified during image segmentation was higher in the NED group, which indicated a higher level of ITH in patients with more favorable outcomes. Signature of molecular components that correlated with long-term outcomes could be associated with proteins involved in the immune functions. Furthermore, a positive correlation between ITH and histopathological lymphocytic host response was observed. Hence, we proposed that a higher level of ITH revealed by MSI in cancers with a better prognosis could reflect the presence of heterotypic components of tumor microenvironment such as infiltrating immune cells enhancing the response to the treatment.
Phytochemical Diversity and Antioxidant Potential of Wild Heather (Calluna vulgaris L.) Aboveground Parts

Calluna vulgaris L. (heather) is a traditional medicinal plant with anti-inflammatory and calming activities that are determined by the notable amounts of phytochemicals. The evaluation of different populations of plants that accumulate great amounts of bioactive compounds are requisite for the quality determination of plant materials and medicinal and nutritional products. The assessment of natural resources from a phytogeographic point of view is relevant. Phytochemical analysis of heather samples was carried out using spectrophotometric methods and HPLC-PDA techniques, while antioxidant activity was determined using ABTS and FRAP assays. A significant diversification of phenolic and triterpenic compounds and antioxidant activity was determined in the heather samples collected in distinct habitats. Natural habitats, due to their characteristic chemical heterogeneity, lead to the diversity of indicators characterizing the quality of plant raw materials. Chlorogenic acid and hyperoside were found to be predominant among the phenolic compounds, while ursolic, oleanolic acids, and uvaol prevailed among the triterpenic compounds. Thus, these compounds can be suggested as phytochemical markers, characteristic of the heather raw material from central Europe.
NEOntometrics – A Public Endpoint For Calculating Ontology Metrics

Ontologies are the cornerstone of the semantic web and knowledge graphs. They are available from various sources, come in many shapes and sizes, and differ widely in their attributes like expressivity, degree of interconnection, or the number of individuals. As sharing knowledge and meaning across human and computational actors emphasizes the reuse of existing ontologies, how can we select the ontology that best fits the individual use case? How to compare two ontologies or assess their different versions? Automatically calculated ontology metrics offer a starting point for a quality assessment. In the past years, a multitude of metrics have been proposed. However, metric implementations and validations for real-world data are scarce. For most of these proposed metrics, no software for their calculation is available (anymore). This work aims at solving this implementation gap. We present NEOntometrics, an open-source, flexible metric endpoint that offers (1.) an explorative help page that assists in understanding and selecting ontology metrics, (2.) a public metric calculation service that allows assessing ontologies from online resources, including git-based repositories for calculating evolutional data, with an (3.) adaptable architecture to adopt new metrics quickly. We further take a quick look at an existing ontology repository that outlines the potential of the software and show how to customize NEOntometrics to individual requirements.
Cognitive effects of prolonged continuous human-machine interaction: The case for mental state-based adaptive interfaces

Operators of complex systems across multiple domains (e.g., aviation, automotive, and nuclear power industry) are required to perform their tasks over prolonged and continuous periods of time. Mental fatigue as well as reduced cognitive flexibility, attention, and situational awareness all result from prolonged continuous use, putting at risk the safety and efficiency of complex operations. Mental state-based adaptive systems may be a solution to this problem. These systems infer the current mental state of an operator based on a selection of metrics ranging from operator independent measures (e.g., weather and time of day), to behavioral (e.g., reaction time and lane deviation) as well as physiological markers (e.g., electroencephalography and cardiac activity). The interaction between operator and system may then be adapted in one of many ways to mitigate any detected degraded cognitive state, thereby ensuring continued safety and efficiency. Depending on the task at hand and its specific problems, possible adaptations -usually based on machine learning estimations- e.g., include modifications of information, presentation modality or stimuli salience, as well as task scheduling. Research on adaptive systems is at the interface of several domains, including neuroergonomics, human factors, and human-computer interaction in an applied and ecological context, necessitating careful consideration of each of the aforementioned aspects. This article provides an overview of some of the key questions and aspects to be considered by researchers for the design of mental state-based adaptive systems, while also promoting their application during prolonged continuous use to pave the way toward safer and more efficient human-machine interaction.