Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparative Performance of Modified Kenneth Jones Criteria Scoring, World Health Organization Criteria, and Antibodies in Lymphocyte Supernatant for Diagnosing Tuberculosis in Severely Malnourished Children Presenting With Pneumonia

Background: The diagnosis of childhood tuberculosis (TB) can be difficult in severely malnourished children. This is mainly due to the fact of our perceived notion that clinical signs of TB are often subtle in severely malnourished children and we may rely on laboratory investigation for the diagnosis. However, comparative data on the performance of clinical and laboratory diagnostics of TB in such population are also very limited. Objectives: To compare the performance of composite clinical criteria and a technique that measures antibodies in lymphocyte supernatant (ALS) for the diagnosis of TB in severely malnourished children with pneumonia. Methods: Severely malnourished children under five with radiological pneumonia admitted to the Dhaka Hospital of International Centre for Diarrhoeal Disease Research, Bangladesh were enrolled consecutively following informed consent. We collected venous blood for ALS, gastric lavage fluid and induced sputum for microscopy, mycobacterial culture, and real-time PCR by Xpert MTB/RIF. We compared the sensitivity, specificity, positive, and negative predictive values, and accuracy of modified Kenneth Jones criteria (MKJC) score, World Health Organization (WHO) criteria, and ALS in diagnosing TB in severely malnourished children with pneumonia for “Confirmed TB” and “All TB” (“Confirmed TB” plus “Probable TB”) vs. “Not TB. ” Results: Compared to culture confirmed TB, the sensitivity, and specificity (95% CI) for MKJC were 60 (27–86) and 84 (79–87)% and for WHO criteria were 40 (14–73) and 84 (80–87)%, respectively. Compared to culture and/or Xpert MTB/RIF positive TB, the sensitivity and specificity (95% CI) for the criteria were 37 (20–58) and 84 (79–87)%; and 22 (9–43) and 83 (79–87)%, respectively. For both these comparisons, the sensitivity and specificity of ALS were 50 (14–86) and 60 (53–67)%, respectively. Conclusion: Our data suggest that WHO criteria and MKJC scoring mainly based on clinical criteria are more useful than ALS in diagnosing TB in young severely malnourished children with pneumonia. The results underscore the importance of using clinical criteria for the diagnosis of TB in severely malnourished children that may help to minimize the chance of over treatment with anti-TB in such population, especially in resource limited TB endemic settings.
Concentration-Dependency and Time Profile of Insulin Secretion: Dynamic Perifusion Studies With Human and Murine Islets

The detailed characterization and quantification of the kinetics of glucose-stimulated insulin secretion (GSIS) by normal pancreatic islets is of considerable interest for characterizing β-cell dysfunction, assessing the quality of isolated islets, and improving the design of artificial pancreas devices. Here, we performed dynamic evaluation of GSIS by human and mouse islets at high temporal resolution (every minute) in response to different glucose steps using an automated multichannel perifusion instrument. In both species, insulin responses were biphasic (a transient first-phase peak followed by a sustained second-phase), and the amount of insulin released showed a sigmoid-type dependence on glucose concentration. However, compared to murine islets, human islets have (1) a less pronounced first-phase response, (2) a flat secretion rate during second-phase response, (3) a left-shifted concentration response (reaching half-maximal response at 7.9 ± 0.4 vs. 13.7 ± 0.6 mM), and (4) an ~3-fold lower maximal secretion rate (8.3 ± 2.3 vs. 23.9 ± 5.1 pg/min/islet at 30 mM glucose). These results can be used to establish a more informative protocol for the calculation of the stimulation index, which is widely used for islet assessment in both research and clinical applications, but without an accepted standard or clear evidence as to what low- to high-glucose steps can provide better characterization of islet function. Data obtained here suggest that human islet functionality might be best characterized with a dynamic stimulation index obtained with a glucose step from a low of 4–5 to a high of 14–17 mM (e.g., G4 → G16).
Evaluation of Bronchoscopy and Bronchoalveolar Lavage Findings in Cats With Aelurostrongylus abstrusus in Comparison to Cats With Feline Bronchial Disease

The cat lungworm Aelurostrongylus abstrusus is a cause of lower respiratory tract disease worldwide. Bronchoscopy and bronchoalveolar lavage (BAL) are important tools for diagnosing respiratory diseases in cats. Therefore, the aim of the study was to investigate the usefulness of bronchoscopy and BAL in the diagnosis of A. abstrusus. Findings from bronchoscopic examination and BAL of 24 naturally infected cats were evaluated and compared with those of 12 cats with idiopathic Feline Bronchial Diseases (FBDs). Data were analyzed using Mann-Whitney or Fisher's exact tests. No significant bronchoscopic differences were detected between cats with aelurostrongylosis and FBDs in bronchial mucus, nodular lesions, and airway collapse. On the other hand, airway hyperemia, epithelial irregularities, and bronchial stenosis were observed more frequently in cats affected by FBDs than aelurostrongylosis, while bronchiectasis was found only in cats infected by A. abstrusus. Neutrophilic, eosinophilic, lymphocytic, and mixed inflammation were recorded in both groups. Bacteria or bacterial DNA was identified regardless of the presence or absence of A. abstrusus with no significant differences between groups. Larvae of A. abstrusus were cytologically detected in 5 of the 24 cats (20.8%) with aelurostrongylosis. These results indicate that, although some findings on bronchoscopic examination (i.e., bronchiectasis) can be described more frequently in cats infected by A. abstrusus, bronchial alterations and cytological findings in aelurostrongylosis are not specific unless larvae are observed and overlap with those of other feline airway diseases.
3-Weeks of Exercise Training Increases Ischemic-Tolerance in Hearts From High-Fat Diet Fed Mice

Physical activity is an efficient strategy to delay development of obesity and insulin resistance, and thus the progression of obesity/diabetes-related cardiomyopathy. In support of this, experimental studies using animal models of obesity show that chronic exercise prevents the development of obesity-induced cardiac dysfunction (cardiomyopathy). Whether exercise also improves the tolerance to ischemia-reperfusion in these models is less clear, and may depend on the type of exercise procedure as well as time of initiation. We have previously shown a reduction in ischemic-injury in diet-induced obese mice, when the exercise was started prior to the development of cardiac dysfunction in this model. In the present study, we aimed to explore the effect of exercise on ischemic-tolerance when exercise was initiated after the development obesity-mediated. Male C57BL/6J mice were fed a high-fat diet (HFD) for 20–22 weeks, where they were subjected to high-intensity interval training (HIT) during the last 3 weeks of the feeding period. Sedentary HFD fed and chow fed mice served as controls. Left-ventricular (LV) post-ischemic functional recovery and infarct size were measured in isolated perfused hearts. We also assessed the effect of 3-week HIT on mitochondrial function and myocardial oxygen consumption (MVO2). Sedentary HFD fed mice developed marked obesity and insulin resistance, and demonstrated reduced post-ischemic cardiac functional recovery and increased infarct size. Three weeks of HIT did not induce cardiac hypertrophy and only had a mild effect on obesity and insulin resistance. Despite this, HIT improved post-ischemic LV functional recovery and reduced infarct size. This increase in ischemic-tolerance was accompanied by an improved mitochondrial function as well as reduced MVO2. The present study highlights the beneficial effects of exercise training with regard to improving the ischemic-tolerance in hearts with cardiomyopathy following obesity and insulin resistance. This study also emphasizes the exercise-induced improvement of cardiac energetics and mitochondrial function in obesity/diabetes.
Effects of Continuous Cropping of Sweet Potato on the Fungal Community Structure in Rhizospheric Soil

Soil microorganisms play an important role in the ecosystem, and have a certain relationship with the continuous cropping obstacles, which are common with sweet potato. However, there are few reports on the effects of continuous cropping of sweet potato on the microbial community structure in the rhizospheric soil. Here, we investigated the effects of continuous cropping of sweet potato on the fungal community structure in rhizospheric soil, in order to provide theoretical basis for prevention and control of continuous cropping obstacles. This study used X18 and Y138 varieties as experimental materials. Soil samples were collected during the early period of planting and harvest in two consecutive years, and fungi were analyzed using Illumina Miseq. Results showed that the fungi diversity and richness in rhizospheric soil of X18 and Y138 were significantly increased after continuous cropping; the most dominant fungi phylum was Ascomycota, which decreased significantly after continuous cropping. In addition, the content of beneficial fungi such as Chaetomium was reduced, while that of harmful fungi such as Verticillium, Fusarium, and Colletotrichum were increased. The composition of X18 and Y138 fungal community in the same sampling period after continuous cropping was similar, although that of the same sweet potato variety significantly differed with the sampling period. Overall, our results indicate that continuous cropping alters the fungal community structure of the sweet potato rhizospheric soil, such that the content of beneficial fungi decrease, while that of harmful fungi increase, thereby increasing soil-borne diseases and reducing the yield and quality of sweet potato. Furthermore, these effects are different for different sweet potato varieties. Thus, during actual production, attention should be paid to maintain the stability of sweet potato rhizospheric soil micro-ecology through rotation or application of microbial fertilizers and soil amendments to alleviate continuous cropping obstacles.
Toward New Paradigms in the Follow Up of Adult Patients With Celiac Disease on a Gluten-Free Diet

Gluten free diet is the only available treatment for celiac disease (CeD). Patients with CeD who do not adhere to a strict gluten-free diet (GFD) have been found to have complications involving nutritional deficiencies, increased risk of bone fractures, increased risk of mortality, and certain types of cancers. Complete removal of gluten from the diet in a patient with CeD often results in symptomatic, serologic, and histologic remission. However, strict compliance with the diet is challenging. Long-term follow-up care is needed to assure treatment compliance and positive health outcomes. Monitoring celiac specific serology, nutrient deficiencies, bone mineral density, and assessment of GFD compliance have been recommended in clinical practice. However, there is no consensus on which specific tests and how often they should be performed during the follow up. Here, we have performed a review of the literature on current strategies to follow up patients with CeD. There are new tools for monitoring adherence to the GFD which could change some paradigms in following up treated patients.
Artificial Neural Network Correlation and Biostatistics Evaluation of Physiological and Molecular Parameters in Healthy Young Individuals Performing Regular Exercise

Studies support that regular physical activity (PA) decelerates senescence-related decline of physiological and molecular parameters in the elderly. We have addressed the other end of this spectrum: healthy and young, inactive individuals participated in a 6-month long personal trainer-guided lifestyle program. We have measured physiological and molecular parameters (differentiating high- and low responders) and their correlation with PA (sedentary status). Cluster analysis helped to distinguish individuals with high- or low PA and differentiate high- and low-responders of each parameter. The assessed cardiovascular parameters (heart rate, blood pressure, 6-min walking distance, relative VO2max), body composition parameters (body fat and muscle mass percentage) metabolic parameters (glucose, insulin, HDL, LDL), immune parameters (cortisol, CRP, lymphocyte counts, hTREC) all showed improvement. Artificial neural network analysis (ANN) showed correlation efficiencies of physiological and molecular parameters using a concept-free approach. ANN analysis appointed PA as the mastermind of molecular level changes. Besides sedentary status, insulin and hTREC showed significant segregation. Biostatistics evaluation also supported the schism of participants for their sedentary status, insulin concentration and hTREC copy number. In the future ANN and biostatistics, may predict individual responses to regular exercise. Our program reveals that high responder individuals of certain parameters may be low responders of others. Our data show that moderate regular PA is essential to counteract senescence in young and healthy individuals, despite individual differences in responsiveness. Such PA may not seem important in the everyday life of young and healthy adults, but shall become the base for healthy aging.
How Real is Moral Contagion in Online Social Networks?

People increasingly turn to online social networks for information and debate. This means that the structures and properties of these networks, and the information they propagate, play crucial roles in the development of social beliefs, attitudes, and morals. Recently, research has shown that the presence of specific language drives the diffusion of moral messages, regardless of the informational quality, in a phenomenon dubbed moral contagion (Brady et al., 2017). Due to the widespread attention and implications of such findings for science and society, we investigate the presence of moral contagion across six sets of data that capture the communications of naturally-occurring networks on Twitter. Across a large corpus of diverse tweets (n = 525,229), we find moral contagion to be an inconsistent and often absent phenomenon that does not effectively predict message diffusion. The implications and reasons for this finding are discussed.
Interpreting metaphors in real-time: Cross-modal evidence for exhaustive access

Natural language is replete with figurative expressions like my lawyer is a shark, and listeners are expected to intuitively understand the intended, rather than the literal, meaning of such expressions. But what cognitive resources are involved in attaining meaning for such sentences? Most research into metaphor comprehension has employed offline reading tasks that provide no insight into the time-course of metaphor processing. In order to investigate the moment-by-moment on-line processes involved in metaphor comprehension, the present study used a naturalistic cross-modal lexical decision paradigm (Swinney, 1979) with novel brief masked target presentations during and after the vehicle word (shark). Results obtained from a preliminary sample demonstrated priming of related target words across conditions, but no significant differences between conditions. These results may best be interpreted as supporting an exhaustive-access account of metaphor interpretation, which suggests that literal and metaphorical interpretations are simultaneously accessed during the early stages of metaphor/simile interpretation.
Optimal categorisation: the nature of nominal classification systems

The debate as to whether language influences cognition has been long standing but has yielded conflicting findings across domains such as colour and kinship categories. Fewer studies have investigated systems such as nominal classification (gender, classifiers) across different languages to examine the effects of linguistic categorisation on cognition. Effective categorisation needs to be informative to maximise communicative efficiency but also simple to minimise cognitive load. It therefore seems plausible to suggest that different systems of nominal classification have implications for the way speakers conceptualise relevant entities. A suite of seven experiments was designed to test this; here we focus on our card sorting experiment, which contains two subtasks — a free sort and a structured sort. Participants were 119 adults across six Oceanic languages from Vanuatu and New Caledonia, with classifier inventories ranging from two to 23. The results of the card sorting experiment reveal that classifiers appear to provide structure for cognition in tasks where they are explicit and salient. The free sort task cadernos.abralin. org DOI 10.25189/2675-4916.2021. V2.N1. ID393 ISSN: 2675-4916 V. 2, N. 1, 2021 2 de 32 did not incite categorisation through classifiers, arguably as it required subjective judgement, rather than explicit instruction. This was evident from our quantitative and qualitative analyses. Furthermore, the languages employing more extreme categorisation systems displayed smaller variation in comparison to more moderate systems. Thus, systems that are more informative or more rigid appear to be more efficient. The study implies that the influence of language on cognition may vary across languages, and that not all nominal classification systems employ this optimal trade-off between simplicity and informativeness. These novel data provide a new perspective on the origin and nature of nominal classification.
When Does a Reasoner Respond: Nothing Follows?

When does a reasoner respond that ”no valid conclusion” (NVC) follows in a syllogistic reasoning task? Cognitive theories aim to trace it back to theory specific inference processes. In contrast, systemic theories explain it by depleted cognitive resources among others. This paper investigates possible theories to explain NVC responses in an experiment with 139 participants. Using mixed models we analyze the association of NVC responses with reaction times, the validity as well as the entropy of a syllogism, and how NVC responses change over time. As expected, the number of NVC responses is lower than logically expected, participants respond NVC more often for invalid syllogisms, and the likelihood to respond NVC increases over the time-course of the experiment. Surprisingly, however, only for valid syllogisms, are the entropy and the RTs associated with NVC responses. Consequently, for invalid syllogisms, NVC responses seem to be generated differently as compared to valid ones.
The Temporal Dynamics of Belief-based Updating of Epistemic Trust: Light at the End of the Tunnel?

We start with the distinction of outcome- and belief-based Bayesian models of the sequential update of agents' beliefs and subjective reliability of sources (trust). We then focus on discussing the influential Bayesian model of belief-based trust update by Eric Olsson, which models dichotomic events and explicitly represents anti-reliability. After sketching some disastrous recent results for this perhaps most promising model of belief update, we show new simulation results for the temporal dynamics of learning belief with and without trust update and with and without communication. The results seem to shed at least a somewhat more positive light on the communicating-and-trust-updating agents. This may be a light at the end of the tunnel of belief-based models of trust updating, but the interpretation of the clear findings is much less clear.
Asymmetric Switch Costs as a Function of Task Strength

Several studies reported that it is harder to switch from a difficult task to an easy task than vice versa. Previous studies explain this paradoxical effect in terms of differences in task strength, by letting participants switch between different types of tasks. However, these studies failed to isolate the effects of task strength from task identity. Here, we present a series of experiments in which we systematically varied the strength of two tasks independent of their identity. We adapted a computational model of task switching by Yeung and Monsell (2003) to derive predictions about the magnitude of asymmetric switch costs (ASC) as a function of task strength, and compared predictions from the model to behavioral data. Our results reveal that ASC depend on the overall and relative task strength across the two tasks. ASC can therefore flip directions if the strength of two tasks is reversed, irrespective of their identities.
Selectivity metrics provide misleading estimates of the selectivity of single units in neural networks

To understand the representations learned by neural networks (NNs), various methods of measuring unit selectivity have been developed. Here we undertake a comparison of four such measures on AlexNet: localist selectivity (Bowers et al., 2014); precision (Zhou et al., 2015); class-conditional mean activity selectivity CCMAS (Morcos et al., 2018); and top-class selectivity. In contrast with previous work on recurrent neural networks (RNNs), we fail to ﬁnd any 100% selective ‘local-ist units’ in AlexNet, and demonstrate that the precision and CCMAS measures are misleading and suggest a much higher level of selectivity than is warranted. We also generated activation maximization (AM) images that maximally activated individual units and found that under (5%) of units in fc6 and conv5 produced interpretable images of objects, whereas fc8 produced over 50% interpretable images. Furthermore, the interpretable images in the hidden layers were not associated with highly selective units. We also consider why localist representations are learned in RNNs and not AlexNet.
The Role of Basal Ganglia Reinforcement Learning in Lexical Priming and Automatic Semantic Ambiguity Resolution

The current study aimed to elucidate the contributions of the subcortical basal ganglia to human language by adopting the view that these structures engage in a basic neurocomputation that may account for its involvement across a wide range of linguistic phenomena. Specifically, we tested the hypothesis that basal ganglia reinforcement learning mechanisms may account for variability in semantic selection processes necessary for ambiguity resolution. To test this, we used a biased homograph lexical ambiguity priming task that allowed us to measure automatic processes for resolving ambiguity towards high frequency word meanings. Individual differences in task performance were then related to indices of basal ganglia functioning and reinforcement learning, which were used to group subjects by learning style: primarily from choosing positive feedback (Choosers), primarily from avoiding negative feedback (Avoiders), and balanced participants who learned equally well from both (Balanced). The pattern of results suggests that balanced individuals, whom learn from both positive and negative reward equally well, had significantly lower access to the subordinate homograph word meaning. Choosers and Avoiders, on the other hand, had higher access to the subordinate word meaning even after a long delay between prime and target. Experimental findings were then tested using an ACT-R computational model of reinforcement learning that learns from both positive and negative feedback. Results from the computational model confirm and extend the pattern of behavioral findings, and provide a reinforcement learning account of lexical priming processes in human linguistic abilities, where a dualpath reinforcement learning system is necessary for precisely mapping out word co-occurrence probabilities.
Embedding OWL Ontologies with OWL2Vec

In this paper, we present a preliminary study to compute embeddings for OWL 2 ontologies by projecting the ontology axioms into a graph and performing (random) walks over the ontology graph to create a corpus of sentences. This corpus is then given to a neural language model to create concept embeddings. The conducted preliminary evaluation shows promising results.