Miracle-dz/UniFAR-FTUs huggingface dataset:
Wherefore a Horse Race: Inhibitory Control as Rational Decision Making

Humans and animals often face the need to choose among actions with uncertain consequences, and to modify those choices according to ongoing sensory information and changing task demands. The requisite ability to dynamically modify or cancel planned actions, termed inhibitory control, is considered a fundamental element of flexible cognitive control. Experimentally, inhibitory control is often studied using the stop signal paradigm. In this task, subjects’ primary task is to perform detection or discrimination (two-alternative forced choice or 2AFC) on an imperative “go” stimulus. In a small fraction of trials, a stop signal appears after some delay, termed the stop signal delay (SSD), instructing the subject to withhold the go response. Characteristically, subjects’ ability to inhibit the go response decreases as the stop signal arrives later (see also chapters 7 and 11, this volume). The classical model for the stop signal task is the race model, which posits the behavioral output on each trial, go or stop, to be the outcome of two competing, independent go and stop processes, respectively. The go process has a finishing time with stochasticity assumed to be due to noise or other sources independent of the stop process. The stop process has a finishing time of SSD + SSRT, where the stop signal reaction time (SSRT) is a subject-specific stopping latency. A stop trial ends in an error response (stop error, SE) if the go process finishes before the stop process (go RT < SSD + SSRT) or a correct cancellation otherwise (go RT ≥ SSD + SSRT). Thus, the cumulative distribution of go RT, up to SSD + SSRT, determines the error rate at each SSD. Conversely, given the observed go RT distribution and inhibition function, as well as the experimentally imposed SSD, an estimate of SSRT can be formed for each subject. Importantly, it is assumed that the go finishing time distribution is identical across go and stop trials. Given the race model assumptions, the shorter the SSRT, the fewer error responses in stop trials. Consequently, SSRT is often seen as an index of inhibitory ability, and indeed appears to be longer in populations with presumed inhibitory deficits, such as attention-deficit hyperactivity disorder, substance abuse, and obsessive-compulsive disorder. 20
Noxious Combination of Tobacco Smoke Nitrosamines with Bile, Deoxycholic Acid, Promotes Hypopharyngeal Squamous Cell Carcinoma, via NFκB, In Vivo.

Tobacco smoking is the most known risk factor for hypopharyngeal cancer. Bile reflux has recently been documented as an independent risk factor for NFκB-mediated hypopharyngeal squamous cell carcinoma. However, the carcinogenic effect of tobacco smoke on the hypopharynx and its combination with bile has not yet been proven by direct evidence. We investigated whether in vivo chronic exposure (12-14 weeks) of murine (C57Bl/6J) hypopharyngeal epithelium to tobacco smoke components (TSC) [N-nitrosamines; 4-(N-Methyl-N-Nitrosamino)-1-(3-pyridyl)-1-butanone (0.2 mmol/L), N-nitrosodiethylamine (0.004 mmol/L)], as the sole drinking fluid 5 days per week, along with topically applied (two times/day) bile [deoxycholic acid (0.28 mmol/L)], can accelerate a possible TSC-induced neoplastic process, by enhancing NFκB activation and the associated oncogenic profile, using histologic, IHC, and qPCR analyses. We provide direct evidence of TSC-induced premalignant lesions, which can be exacerbated by the presence of bile, causing invasive carcinoma. The combined chronic exposure of the hypopharynx to TSC with bile causes advanced NFκB activation and profound overexpression of Il6, Tnf, Stat3, Egfr, Wnt5a, composing an aggressive phenotype. We document for the first time the noxious combination of bile with a known risk factor, such as tobacco smoke nitrosamines, in the development and progression of hypopharyngeal cancer, via NFκB, in vivo. The data presented here encourage further investigation into the incidence of upper aerodigestive tract cancers in smokers with bile reflux and the early identification of high-risk individuals in clinical practice. This in vivo model is also suitable for large-scale studies to reveal the nature of inflammatory-associated aerodigestive tract carcinogenesis and its targeted therapy. PREVENTION RELEVANCE Early assessment of bile components in refluxate of tobacco users can prevent the chronic silent progression of upper aerodigestive tract carcinogenesis. This in vivo model indicates that bile reflux might have an additive effect on the tobacco-smoke N-nitrosamines effect and could be suitable for large-scale studies of diagnostic and therapeutic interventions.
A Wide-Proteome Analysis to Identify Molecular Pathways Involved in Kidney Response to High-Fat Diet in Mice

The etiopathogenesis of obesity-related chronic kidney disease (CKD) is still scarcely understood. To this aim, we assessed the effect of high-fat diet (HF) on molecular pathways leading to organ damage, steatosis, and fibrosis. Six-week-old male C57BL/6N mice were fed HF diet or normal chow for 20 weeks. Kidneys were collected for genomic, proteomic, histological studies, and lipid quantification. The main findings were as follows: (1) HF diet activated specific pathways leading to fibrosis and increased fatty acid metabolism; (2) HF diet promoted a metabolic shift of lipid metabolism from peroxisomes to mitochondria; (3) no signs of lipid accumulation and/or fibrosis were observed, histologically; (4) the early signs of kidney damage seemed to be related to changes in membrane protein expression; (5) the proto-oncogene MYC was one of the upstream transcriptional regulators of changes occurring in protein expression. These results demonstrated the potential usefulness of specific selected molecules as early markers of renal injury in HF, while histomorphological changes become visible later in obesity-related CDK. The integration of these information with data from biological fluids could help the identification of biomarkers useful for the early detection and prevention of tissue damage in clinical practice.
Factors Affecting Public Servants’ Performance in Developing Countries: Evidences from Eritrea

There is little existing research that examines the relationship between the performance of civil servants and the variables that affect performance in third-world countries, and in the Eritrean civil service in particular. Hence, the principal objective of this study is to investigate the main factors that affect public servants’ job performance in the civil service in Eritrea. A structured questionnaire was distributed to 14 ministerial offices, but one ministry declined to participate. The Ministry of Defense was purposely excluded as it is a different establishment in terms of its nature and characteristics. The data were gathered from a sample of 267 randomly selected respondents. The research design employed a self-administered questionnaire as the data collection instrument. The items measuring the constructs were adapted from the extant literature, and data were analyzed using a regression test. The findings of this study reveal that training, organizational culture, and work environment positively affect employee performance. However, no evidence was found to indicate that leadership and motivation influence employees’ job performance.
Development and evaluation of a vision-based transfer learning approach for indoor fire and smoke detection

Fire poses a significant risk across industrial and domestic settings, especially to firefighters who must tackle the blaze. Current technology for detection in indoor environments are smoke detectors and flame detectors. However, these detectors have several limitations during the ignition phase of a fire and propagation. These systems cannot detect an exact position of the fire nor how the fire is spreading or its size, all of which is necessary information for fire services when dealing with these incidents. A potential solution is to use artificial intelligence techniques such as computer vision, which has shown the potential to detect and recognise objects and activities in indoor spaces. This study aims to develop a vision-based fire and smoke detection system. A deep learning technique that incorporates convolutional neural networks (CNN) was utilised to develop the real-time detection approach that can potentially provide necessary information for fire services, including identifying the position and size of the fire and how the fire spreads. A transfer learning approach using a pre-trained model was used to train the detector. Based on the detection and recognition tests using indoor fire and smoke videos, results indicated that the fire detection achieved up to 92.37% correct detections while the smoke detection did not perform as well. Hence, further improvement and evaluation of the detection approach will be conducted in future work, focusing on the impact of different parameters such as the detection model, building type, indoor space size and positioning of the detection camera. The present study provides an insight into the capabilities and potential applications of the concept.
Role of nano curcumin on superoxide dismutase levels in leukoplakia

Introduction: Oral leukoplakia has an estimated prevalence of 2% of the oral cavity, one of the risk factors for oral cancers. The most commonly linked etiology being tobacco smoking causing reactive oxygen species (ROS) induced DNA damage. Curcumin, a polyphenol derivative from herbal remedy, possesses diverse properties ranging from centuries old documented anti-inflammatory properties to recently documented anticancer properties. Aims: Role of nano curcumin on superoxide dismutase (SOD) levels in leukoplakia patients’ pre- and post-treatment Materials and Methods: The study group comprised thirty test subjects. Single capsule of 250 mg (Brecan Plus) was given to the test group for 30 days with weekly follow-up. Blood samples were taken from the test group and were evaluated for SOD levels before and after the completion of the trial. Results: In the study, there was a decrease in size of the lesion, number of lesions, down staging of the disease, and increase in serum SOD levels after the therapy. Binary logistic retrogression analysis was done to assess the predictive ability of serum SOD-dependent variable, and a positive association was noted between increase in serum SOD level and down staging of the disease. Conclusion: Nano curcumin is an excellent medical nutrition intervention derived from traditional natural products. The study has demonstrated the clinical efficacy of these new classes of therapeutic nutraceuticals such as nanocurcumin in treating oral leukoplakia, which are suitable for long-term use.
BENEFITS OF HIGH-FLOW NASAL OXYGEN THERAPY IN ACUTE HEART FAILURE

Acute heart failure (AHF) is a life-threatening condition. The majority of patients come to the emergency room (ER) with pulmonary congestion and respiratory failure. Therefore, oxygen therapy is an essential modality in AHF apart from diuretics and improving hemodynamic. Non-invasive ventilation (NIV) is often required to reduce hypercapnia, acidosis, and respiratory rate in AHF. However, it is more invasive than conventional oxygen therapy. NIV is also less comfortable for patients and has limited use in the ER. The high-flow nasal oxygen (HFNO) is increasing in popularity during the COVID-19 pandemic. HFNO can deliver high flow oxygen with a constant fraction in patients with respiratory failure. Studies have reported the benefits of HFNO in acute heart failure. Therefore, HFNO may benefit and may be used as an alternative to acute heart failure patients who cannot tolerate NIV.
First Report of Distinct Bamboo mosaic virus (BaMV) Isolates Infecting Bambusa funghomii in Vietnam and the Identification of a Highly Variable Region in the BaMV Genome

New isolates of the Bamboo mosaic virus (BaMV) were identified in Bambusa funghomii bamboo in Vietnam. Sequence analyses revealed that the Vietnam isolates are distinct from all known BaMV strains, sharing the highest sequence identities (about 77%) with the Yoshi isolates reported in California, USA. Unique satellite RNAs were also found to be associated with the BaMV Vietnam isolates. A possible recombination event was detected in the genome of BaMV-VN2. A highly variable region was identified in the ORF1 gene, in between the methyl transferase domain and helicase domain. These results revealed the presence of unique BaMV isolates in an additional bamboo species in one more country, Vietnam, and provided evidence in support of the possible involvement of environmental or host factors in the diversification and evolution of BaMV.
Intramuscular Fat Selection in Rabbits Modifies the Fatty Acid Composition of Muscle and Liver Tissues

Simple Summary Intramuscular fat content improves the juiciness, tenderness, and flavor of meat, but it can also affect its nutritional quality. A divergent selection experiment for intramuscular fat content was performed on rabbits for 10 generations to study the metabolism of the selected and correlated traits. The direct response to selection and the correlated responses in the meat fatty acid content, in the liver fat and its fatty acid content, and in plasma metabolic markers related to liver metabolism were studied. Increasing intramuscular fat content led to higher fat deposition in the carcass, but not in the liver. The fatty acid contents of Longissimus thoracis et lumborum muscle and liver were modified after selection, for which the microbiome composition also played an important role. A higher concentration of plasma lipids was found in the low-IMF line, probably due to a lower uptake by the muscle and adipose tissue. Abstract This study was conducted on two rabbit lines divergently selected for intramuscular fat (IMF) content in the Longissimus thoracis et lumborum (LTL) muscle. The aim was to estimate the direct response to selection for IMF after 10 generations, and the correlated responses in carcass quality traits, meat fatty acid content, liver fat and its fatty acid content, and in plasma metabolic markers related to liver metabolism. Selection for IMF content was successful, showing a direct response equivalent to 3.8 SD of the trait after 10 generations. The high-IMF line (H) showed a greater dissectible fat percentage than the low-IMF line (L), with a relevant difference (DH-L = 0.63%, Pr = 1). No difference was found in liver fat content (DH-L = −0.04, P0 = 0.62). The fatty acid content of both LTL muscle and liver was modified after selection. The LTL muscle had greater saturated (SFA; DH-L = 5.05, Pr = 1) and monounsaturated fatty acids (MUFA; DH-L = 5.04, Pr = 1) contents in the H line than in the L line. No relevant difference was found in polyunsaturated fatty acids content (PUFA; Pr = 0.05); however, greater amounts of C18:2n6 (DH-L = 3.03, Pr = 1) and C18:3n3 (DH-L = 0.56, Pr = 1) were found in the H than in the L line. The liver presented greater MUFA (DH-L = 1.46) and lower PUFA (DH-L = −1.46) contents in the H than in the L line, but the difference was only relevant for MUFA (Pr = 0.86). The odd-chain saturated fatty acids C15:0 and C17:0 were more abundant in the liver of the L line than in the liver of the H line (DH-L = −0.04, Pr = 0.98 for C15:0; DH-L = −0.09, Pr = 0.92 for C17:0). Greater concentrations of plasma triglycerides (DH-L = −34) and cholesterol (DH-L = −3.85) were found in the L than in the H line, together with greater plasma concentration of bile acids (DH-L = −2.13). Nonetheless, the difference was only relevant for triglycerides (Pr = 0.98).
What influences people to click ‘like’ on posts of branded content?

ABSTRACT Social media is a strategic marketing tool that creates powerful brand communities. This study explores what influences people to click ‘Like’ on posts of branded content and whether clicking ‘Like’ motivates people to search for more information on branded products. Using the stimulus-organism-response model, the study proposed a model in which the attractiveness of posts of branded content and source closeness (stimuli) influenced perceived value (organism), leading to people’s clicking ‘Like’ behavior (response). The model was tested using responses from 509 Chinese social media users. Results showed that the attractiveness of posts of branded content directly and indirectly linked to clicking ‘Like’ behavior through perceived value while source closeness only exerted a direct effect on clicking ‘Like’ behavior. People’s clicking of ‘Like’ behavior positively motivated them to search for more information on branded products. The study’s findings advanced our understanding of the drivers, process, and outcome of clicking ‘Like’ behavior.
Human Vitamin K Epoxide Reductase as a Target of Its Redox Protein

Human vitamin K epoxide reductase (hVKORC1) enzymatic activity requires an initial activation by a specific redox protein, a less studied step in the hVKORC1 vital cycle. Significant steric conditions must be met by enzymes, being that to adapt their configurations is mandatory for hVKORC1 activation. We studied, by molecular dynamics (MD) simulations, the folding and conformational plasticity of hVKORC1 in its inactive (fully oxidised) state using available structures, crystallographic and from de novo modelling. According to the obtained results, hVKORC1 is a modular protein composed of the stable transmembrane domain (TMD) and intrinsically disordered luminal (L) loop, possessing the great plasticity/adaptability required to perform various steps of the activation process. The docking (HADDOCK) of Protein Disulfide Isomerase (PDI) onto different hVKORC1 conformations clearly indicated that the most interpretable solutions were found on the target closed L-loop form, a prevalent conformation of hVKORC1’s oxidised state. We also suggest that the cleaved L-loop is an appropriate entity to study hVKORC1 recognition/activation by its redox protein. Additionally, the application of hVKORC1 (membrane protein) in aqueous solution is likely to prove to be very useful in practice in either in silico studies or in vitro experiments.
Kinesiophobia in Elderly Polish Patients After Ischemic Stroke, Including Frailty Syndrome

Introduction In patients after stroke, the relationship between the occurrence of kinesiophobia and the accompanying frailty syndrome, as well as the acceptance of the disease and the level of mood, has not been recognized so far. The aim of this study was to determine the prevalence of kinesiophobia in elderly Polish people after ischemic stroke, including the frailty syndrome and the associations between the prevalence of kinesiophobia and feelings of anxiety and degree of the illness acceptance. Methods A cross-sectional study was used to achieve the study objectives. The study involved 152 hospitalized patients aged of minimum 60 (mean age 63), qualified for post-stroke rehabilitation, including 76 women and 76 men. The patients were divided into two groups, with kinesiophobia (119 persons) and without kinesiophobia (33 persons). The Tampa Scale of Kinesiophobia (TSK), the Tilburg Frailty Indicator (TFI), the Hospital Anxiety Depression Scale (HADS) and the Acceptance of Illness Scale (AIS) were used. Study results were calculated using MedCalc Software. Results Kinesiophobia has been demonstrated in 78% of people after ischemic stroke. The values of TFI and HADS were higher in the patients with kinesiophobia (p<0.001). In patients with ischemic stroke, it was shown that the level of kinesiophobia increased with higher anxiety (p<0.001), higher total TFI score, (p<0.05), and a lower level of illness acceptance (p<0.001). Conclusion The occurrence of kinesiophobia in elderly Polish people after ischemic stroke is common and the determinants of its development are the coexistence of the frailty syndrome, anxiety and a low level of illness acceptance. In post-stroke patients, the presence of kinesiophobia should be considered, especially in the situation of comorbid frailty syndrome. The issue of kinesiophobia in patients after stroke requires further in-depth research, especially in the field of cognitive-behavioral prevention aimed at ways to reduce this phenomenon.
Genetic Diversity and Association Analysis for Carotenoid Content among Sprouts of Cowpea (Vigna unguiculata L. Walp)

The development and promotion of biofortified foods plants are a sustainable strategy for supplying essential micronutrients for human health and nutrition. We set out to identify quantitative trait loci (QTL) associated with carotenoid content in cowpea sprouts. The contents of carotenoids, including lutein, zeaxanthin, and β-carotene in sprouts of 125 accessions were quantified via high-performance liquid chromatography. Significant variation existed in the profiles of the different carotenoids. Lutein was the most abundant (58 ± 12.8 mg/100 g), followed by zeaxanthin (14.7 ± 3.1 mg/100 g) and β-carotene (13.2 ± 2.9 mg/100 g). A strong positive correlation was observed among the carotenoid compounds (r ≥ 0.87), indicating they can be improved concurrently. The accessions were distributed into three groups, following their carotenoid profiles, with accession C044 having the highest sprout carotenoid content in a single cluster. A total of 3120 genome-wide SNPs were tested for association analysis, which revealed that carotenoid biosynthesis in cowpea sprouts is a polygenic trait controlled by genes with additive and dominance effects. Seven loci were significantly associated with the variation in carotenoid content. The evidence of variation in carotenoid content and genomic regions controlling the trait creates an avenue for breeding cowpea varieties with enhanced sprouts carotenoid content.
Pollen Grain Classification Based on Ensemble Transfer Learning on the Cretan Pollen Dataset

Pollen identification is an important task for the botanical certification of honey. It is performed via thorough microscopic examination of the pollen present in honey; a process called melissopalynology. However, manual examination of the images is hard, time-consuming and subject to inter- and intra-observer variability. In this study, we investigated the applicability of deep learning models for the classification of pollen-grain images into 20 pollen types, based on the Cretan Pollen Dataset. In particular, we applied transfer and ensemble learning methods to achieve an accuracy of 97.5%, a sensitivity of 96.9%, a precision of 97%, an F1 score of 96.89% and an AUC of 0.9995. However, in a preliminary case study, when we applied the best-performing model on honey-based pollen-grain images, we found that it performed poorly; only 0.02 better than random guessing (i.e., an AUC of 0.52). This indicates that the model should be further fine-tuned on honey-based pollen-grain images to increase its effectiveness on such data.