Miracle-dz/UniFAR-FTUs huggingface dataset:
Glucagon-Like Peptide 1 Increases β-Cell Regeneration by Promoting α- to β-Cell Transdifferentiation

Glucagon-like peptide 1 (GLP-1) can increase pancreatic β-cells, and α-cells could be a source for new β-cell generation. We investigated whether GLP-1 increases β-cells through α-cell transdifferentiation. New β-cells originating from non–β-cells were significantly increased in recombinant adenovirus expressing GLP-1 (rAd-GLP-1)–treated RIP-CreER;R26-YFP mice. Proliferating α-cells were increased in islets of rAd-GLP-1–treated mice and αTC1 clone 9 (αTC1-9) cells treated with exendin-4, a GLP-1 receptor agonist. Insulin+glucagon+ cells were significantly increased by rAd-GLP-1 or exendin-4 treatment in vivo and in vitro. Lineage tracing to label the glucagon-producing α-cells showed a higher proportion of regenerated β-cells from α-cells in rAd-GLP-1–treated Glucagon-rtTA;Tet-O-Cre;R26-YFP mice than rAd producing β-galactosidase–treated mice. In addition, exendin-4 increased the expression and secretion of fibroblast growth factor 21 (FGF21) in αTC1-9 cells and β-cell–ablated islets. FGF21 treatment of β-cell–ablated islets increased the expression of pancreatic and duodenal homeobox-1 and neurogenin-3 and significantly increased insulin+glucagon+ cells. Generation of insulin+glucagon+ cells by exendin-4 was significantly reduced in islets transfected with FGF21 small interfering RNA or islets of FGF21 knockout mice. Generation of insulin+ cells by rAd-GLP-1 treatment was significantly reduced in FGF21 knockout mice compared with wild-type mice. We suggest that GLP-1 has an important role in α-cell transdifferentiation to generate new β-cells, which might be mediated, in part, by FGF21 induction.
Ribonuclear inclusions as biomarker of myotonic dystrophy type 2, even in improperly frozen or defrozen skeletal muscle biopsies

Myotonic dystrophy type 2 (DM2) is a dominantly inherited disorder caused by a CCTG repeat expansion in intron 1 of ZNF9 gene. The size and the somatic instability of DM2 expansion complicate the molecular diagnosis of DM2. In situ hybridization represents a rapid and sensitive method to obtain a definitive diagnosis in few hours, since it allows the direct visualization of the mutant mRNA foci on skeletal muscle sections. This approach makes the muscle biopsy an important tool for definitive diagnosis of DM2. Consequently, a rapid freezing at ultra cold temperature and a good storage of muscle specimens are essential to avoid morphologic alterations and nucleic acids degradation. However incorrect freezing or thawing may accidentally occur. In this work we report that fluorescence in situ hybridization may be applied on improperly frozen or inappropriately stored muscle biopsies since foci of mutant mRNA are well preserved and can still be detected in muscle sections no more useful for histopathological evaluation.
Determination and Prediction of Respirable Dust and Crystalline-Free Silica in the Taiwanese Foundry Industry

Background: Respirable crystalline silica (RCS) has been recognized as a human carcinogen; however, the measurement and analysis of RCS in small-scale foundries is rare and difficult. This study aimed to measure respirable dust and RCS levels among 236 foundry workers in Taiwan and used these data to establish predictive models for personal exposure. Methods: Personal sampling of various production processes were measured gravimetrically and analyzed using the X-ray diffraction method. Multiple linear regression was used to establish predictive models. Results: Foundry workers were exposed to geometric means and geometric standard deviations of 0.52 ± 4.0 mg/m3 and 0.027 ± 15 mg/m3 for respirable dust and RCS, respectively. The highest exposure levels were observed among workers in the sand blasting process, with geometric means of 1.6 mg/m3 and 0.099 mg/m3 for respirable dust and RCS, respectively. The predictive exposure model for respirable dust fitted the data well (R2 = 0.75; adjusted R2 = 0.64), and the predictive capacity for RCS was higher (R2 = 0.89; adjusted R2 = 0.84). Conclusions: Foundry workers in the sand blasting process may be exposed to the highest levels of respirable dust and RCS. The developed models can be applied to predict respirable dust and RCS levels adequately in small-scale foundry workers for epidemiological studies.
Risk factors associated with small-ruminant lentiviruses in sheepfold buildings.

INTRODUCTION Small-ruminant lentivirus (SRLV) infection is widespread across Europe. It causes substantial economic losses in sheep breeding. The main route of SRLV infection is through the mother's milk, especially colostrum However, infection can also occur via contact between infected and healthy animals. It should be noted that the mechanisms of contact infection are still relatively poorly understood. The virus can also spread through a flock via an aerogenic mechanism. OBJECTIVE Due to the increased risk of SRLV infection in sheep bred in an alcove system, this study sought to define the effect of various selected factors associated with alcove breeding on the frequency of SRLV infection in sheep. MATERIAL AND METHODS Risk factors associated with small-ruminant lentivirus (SRLV) infection were analyzed among flocks of sheep in central-eastern Poland. Ninety-eight sheep flocks were selected for detailed investigation and included 6,470 ewes and 15 breeds and lines. Serologic testing of blood samples was used to identify infected animals and evaluate the epidemiologic status of particular flocks. Specific antibodies for Maedi Visna Virus (MVV) were detected via ELISA. Questionnaires were used to gather information concerning risk factors. RESULTS The study's results indicate that factors associated with environmental conditions under which sheep are kept play a significant role in determining the risk of SRLV infection. CONCLUSIONS Special attention should be focused on airborne contamination associated with the technologies used in sheep breeding. Breeding technologies that limit airborne contamination in farm buildings should be employed. In developing programmes to eliminate SLRV in sheep flocks, improvement of zoohygenic conditions should also be considered.
Identification of MOS9 as an interaction partner for chalcone synthase in the nucleus

Plant flavonoid metabolism has served as a platform for understanding a range of fundamental biological phenomena, including providing some of the early insights into the subcellular organization of metabolism. Evidence assembled over the past three decades points to the organization of the component enzymes as a membrane-associated complex centered on the entry-point enzyme, chalcone synthase (CHS), with flux into branch pathways controlled by competitive protein interactions. Flavonoid enzymes have also been found in the nucleus in a variety of plant species, raising the possibility of alternative, or moonlighting functions for these proteins in this compartment. Here, we present evidence that CHS interacts with MOS9, a nuclear-localized protein that has been linked to epigenetic control of R genes that mediate effector-triggered immunity. Overexpression of MOS9 results in a reduction of CHS transcript levels and a metabolite profile that substantially intersects with the effects of a null mutation in CHS. These results suggest that the MOS9–CHS interaction may point to a previously-unknown mechanism for controlling the expression of the highly dynamic flavonoid pathway.
Anomaly Detection in Large-Scale Trajectories using Hybrid Grid-based Hierarchical Clustering

The increasing availability of location-acquisition technologies (such as GPS and GSM networks) and mobile computing techniques has generated a lot of spatial-temporal trajectory data and indicates the mobility of diversiﬁed moving objects such as people, vehicles, and animals. This brings new opportunities to identify abnormal activities of moving objects. This paper describes our detection of anomalies in human trajectory data using a hybrid grid-based hierarchical clustering method based on Hausdorﬀ distance, which is suitable for measuring the similarity between trajectories of diﬀerent lengths. The trajectories were ﬁrst transformed into grid-based trajectories using a grid structure. After that, the grid-based trajectories were clustered based on their pairwise Hausdorﬀ distances by applying diﬀerent versions of hierarchical clustering algorithms. We evaluated our research result using a real-life dataset (published by Microsoft Research Asia), ground truth reconstructed by us, and evaluation criteria widely used in data mining. The experimental results demonstrate that the proposed algorithm is more eﬀective and much faster than the traditional hierarchical clustering algorithm according to the pairwise comparison results.
Effectiveness of neurofeedback training on verbal memory, visual memory and self-efficacy in students

Background Memory is the basis for the development of language skills and learning processes, and self-efficacy is one of the most important predictors of academic achievement. Objective This study aimed to determine the effects of neurofeedback training (NFB) on verbal and visual memory and self-efficacy in students of Rafsanjan University of Medical Sciences. Methods This quasi-experimental study was conducted on students of Rafsanjan University of Medical Sciences (Rafsanjan, Iran). Twenty-six students without severe neuropsychological disorder, history of epilepsy and drug abuse were selected randomly and divided into two groups. First, the participants completed the Morgan-Jinks Student Efficacy Scale (MJSES) and then were assessed by Kim Karad Visual Memory Test (KKVMT) and Wechsler Memory Scale for verbal memory (WMSVM). The experimental group underwent 15 sessions of neurofeedback training (NFB) for increase in sensorimotor response (SMR) in central zero (Cz) and fronto-central zero (FCz) location at the psychology clinic Rafsanjan University of Medical Sciences. Visual and verbal memory and self-efficacy were assessed by KKVMT, WMSVM and MJSES after completion of sessions and one month later. Posttest and follow-up of the control group were also carried out simultaneously with the experimental group. Data were analyzed in SPSS version 16, using descriptive statistical and repeated measures ANCOVA. The significance level of examining the hypotheses was set at p≤0.05. Results The Mean±SD of verbal memory in the experimental group in pretest, posttest and follow-up was 20±1.9, 22.58±2.1, 22.41±2.06 respectively (p<0.001, Effect size= 0.53). There were significant changes in short-term (p=0.001, Effect size =0.41) and long-term (p=0.001, Effect size =0.42) visual memory. The changes of mid-term visual memory and self-efficacy in the experimental group were not significant (p=0.135, p=0.062). Conclusion NFB is effective in improving verbal memory and some dimensions of visual memory. Further studies are needed to achieve better results.
Peak-to-peak filtering for periodic piecewise linear polytopic systems

Abstract In this paper, the robust peak-to-peak filtering problem for periodic piecewise systems with polytopic uncertainties is investigated. Attention is focused on designing of robust peak-to-peak filters that guarantee the robust asymptotic stability of periodic piecewise filtering error system and satisfy a prescribed peak-to-peak disturbance attenuation level for all admissible uncertainties. A sufficient condition is proposed for robust stability and peak-to-peak performance by employing the constructed time-varying Lyapunov function. Two design approaches based on the Lyapunov function with parameter-dependent matrices and parameter-independent matrices are utilised to solve this problem. An algorithm is proposed to compute the periodic filter parameters governed by non-convex feasibility conditions. Two numerical examples are presented to demonstrate the effectiveness of the proposed techniques.
Reducing environmental pollution by chemical herbicides using natural plant derivatives - allelopathy effect.

INTRODUCTION Weeds are an important factor in determining production in the agricultural sector. Currently, weeds have been managed by employing synthetic weedicides chemicals. These chemicals have a negative impact on the environment through accumulation in soil and water, in addition to their effect on biological diversity. MATERIAL AND METHODS A study was undertaken to evaluate the activity of the aqueous extract of leaves from; Nerium (Nerium oleander L), olives (Olea europaea L) and castor (Ricinus communis L) on the control of Cyperus rotundus L. The study comprised of two components: three plant species, and the uses of three planta extracts concentration (5%, 7.5% and 10%) and their impact on germination and inhibition of seedling growth. RESULTS The results from using Nerium extract in comparison with Tibenuron and the two other plants extracts gave 90% inhibition at concentrations of 5% and 10%, while the concentration of 2.5% gave the lowest inhibition rates for germination of all plant extracts under study. The second experiment carried out using 10% concentration of the Nerium extract gave complete inhibition (100%), compared with the same concentrations of other plants extract and weedicides. CONCLUSIONS The current study indicates the possibility of using natural products of plant origin as alternatives to chemical herbicides as one of the means of biological control to reducing environment pollution.
Normal Inverse Gaussian Approximation for Arrival Time Difference in Flow-Induced Molecular Communications

In this paper, we consider molecular communications in one-dimensional flow-induced diffusive channels with a perfectly absorbing receiver. In such channels, the random propagation delay, until the molecules are absorbed, follows an inverse Gaussian (IG) distribution and is referred to as first hitting time. Knowing the distribution for the difference of the first hitting times of two molecules is very important if the information is encoded by a limited set of molecules and the receiver exploits their arrival time and/or order. Hence, we propose a moment matching approximation by a normal IG (NIG) distribution and we derive an expression for the asymptotic tail probability. Numerical evaluations show that the NIG approximation matches very well with the exact solution obtained by numerical convolution of the IG density functions. Moreover, the asymptotic tail probability outperforms state-of-the-art tail approximations.
Inferring Complementary Products from Baskets and Browsing Sessions

Complementary products recommendation is an important problem in e-commerce. Such recommendations increase the average order price and the number of products in baskets. Complementary products are typically inferred from basket data. In this study, we propose the BB2vec model. The BB2vec model learns vector representations of products by analyzing jointly two types of data - Baskets and Browsing sessions (visiting web pages of products). These vector representations are used for making complementary products recommendation. The proposed model alleviates the cold start problem by delivering better recommendations for products having few or no purchases. We show that the BB2vec model has better performance than other models which use only basket data.
The mechanism of action of praziquantel: can new drugs exploit similar mechanisms?

Praziquantel (PZQ) is the drug of choice for treating infection with worms from the genus Schistosoma. The drug is effective, cheap and has few side-effects. However, despite its use in millions of patients for over 40 years its molecular mechanism of action remains elusive. Early studies demonstrated that PZQ disrupts calcium ion homeostasis in the worm and the current consensus is that it antagonises voltage-gated calcium channels. It is hypothesised that disruption of these channels results in uncontrolled calcium ion influx leading to uncontrolled muscle contraction and paralysis. However, other experimental studies have suggested a role for myosin regulatory light chains and adenosine uptake in the drug's mechanism of action. Assuming voltage-gated calcium channels do represent the main molecular target of PZQ, the precise binding site for the drug remains to be identified. Unlike other commonly used anti-parasitic drugs, there are few definitive reports of resistance to PZQ in the literature. The lack of knowledge about PZQ's molecular mechanism(s) undermines our ability to predict how resistance might arise and also hinder our attempts to develop alternative antischistosomal drugs which exploit the same target(s). Some PZQ derivatives have been identified which also kill or paralyse schistosomes in culture. However, none of these are in widespread clinical use. There is a pressing need for fundamental research into the molecular mechanism(s) of action of PZQ. Such research would enable new avenues for antischsistosomal drug discovery.
Cooking Up Health: A Novel Culinary Medicine and Service Learning Elective for Health Professional Students.

PURPOSE The current investigation assessed the feasibility, acceptability, and efficacy of the Cooking Up Health (CUH) culinary medicine elective that was offered to medical students at Northwestern University's Feinberg School of Medicine. The elective included a combination of didactics, plant-based culinary sessions, and service learning, in which students translated nutrition and health connections to elementary school children in at-risk communities. METHOD Nine medical students enrolled in cohort 1 and 12 in cohort 2. Students completed assessments before and after the course measuring confidence in nutrition and obesity counseling, attitudes toward nutrition counseling, personal dietary intake, and cooking confidence and behaviors. RESULTS The elective showed high feasibility and acceptability with strong class attendance (96%-99%) and retention (89%-100%). Over the course of the elective, students across both cohorts showed increased confidence in nutrition and obesity counseling (ps < 0.001), cooking abilities (ps < 0.01), and food preparation practices (ps < 0.04). Cohort 1 reported decreased meat consumption (p = 0.045), and cohort 2 showed increased fruit and vegetable intake (p = 0.04). Finally, cohort 2 showed increased knowledge and confidence regarding consuming a plant-based diet (ps < 0.002). Students reported an increased appreciation for the role of nutrition in health promotion and disease prevention and an intention to incorporate nutrition into patient care. CONCLUSION This study provided preliminary evidence demonstrating feasibility, acceptability, and efficacy of the CUH culinary medicine elective for increasing medical students' confidence in nutrition and obesity counseling of patients and in their ability to use nutrition and cooking for personal self-care. Ultimately, this program of research may provide evidence to support widespread integration of CUH into medical education and has the potential to prepare medical students to properly advise patients on nutrition to combat the rising rates of obesity, diabetes, and preventable diseases related to nutrition.
Use of Internet of Things to Provide a New Model for Remote Heart Attack Prediction.

Background: Most of the research on heart attack prediction has been based on the offline decision-making approach. The Internet of Things (IoT), as a new concept in the field of information technology, enables this to happen online. Objective: This study examined an IoT-based model for predicting heart attack. In this model, electrocardiogram (ECG) information at the moment is used, which facilitates decision-making. Methods: A research model was developed to get emergency cardiac data at the moment. The basis of this model is the IoT, which enables the information to be instantly accessible. In addition, cloud computing has also been used to analyze online data. We enrolled 207 healthy and 64 myocardial infarction cases of visitors to Khatam-ol-Anbia Hospital of Shahrood in 2017. Results: Data set included 19 regular features and 1 label feature. Then, neural networks (NNs) were used for model testing. We used IBM SPSS® Modeler V.18 for model testing. After selecting 40% of the data as training set and the rest as the testing set, IBM SPSS Modeler returned 89.5%, which means that with the modeling of these data using NN data mining technique with a probability of 89.5%, we will find the right result. Conclusion: Experiments on the real data set showed that using the IoT, along with cloud computing and data mining techniques, predicts a heart attack with acceptable accuracy. This is achieved by receiving vital signs and ECG information instantaneously.
Mechanism of action of the viral chemokine-binding protein E163 from ectromelia virus

Chemokines interact with glycosaminoglycans (GAGs) at the cellular surface and to specific cell-surface receptors to activate signaling pathways. The GAG interaction allows the formation of a chemotactic gradient of chemokine required for cell haptotaxis and chemokine oligomerization. Poxviruses encode secreted chemokine-binding proteins with no sequence similarity to their cellular counterparts to modulate the host immune system. The E163 protein from ectromelia virus, the causative agent of mousepox, binds chemokines through their GAG-binding domain. In addition, E163 interacts with GAGs to be anchored at the cell surface, but its ability to interfere with chemokine-GAG interactions has not been demonstrated. We report the identification of the GAG-binding regions in E163 and the generation of mutant forms deficient of GAG binding. Chemokine binding assays show that some of the E163 GAG-binding sites are also involved in the interaction with chemokines. By using recombinant GAG-binding mutant forms we demonstrate that E163 prevents the interaction of chemokines with cell-surface GAGs, providing mechanisms for the immunomodulatory activity of the viral chemokine-binding protein E163.
What do we mean by ‘systematic’ in health education systematic reviews and why it matters!

Abstract For anyone who reads the health education literature regularly, journal sections that focus on “reviews” are common, yet the use of the term “systematic” to describe these reviews is sporadic. Further, we believe this term is used in a manner in the field that does not accurately reflect the methodological implications of the term in this context. There are examples of “systematic” works that simply don’t describe themselves in that way, despite a clear alignment with many of the principles of “systematic reviewing”. Conversely, there are reviews that are clearly not systematic, yet describe themselves as such. In this piece, we discuss how this difficulty with methodological nomenclature has occurred and the distinct and important meaning of the term “systematic” in relation to health education reviews.