Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Pectinolytic Enzyme Pretreatment on the Clarification of Cranberry Juice by Ultrafiltration

Cranberries, mainly processed as juice, have garnered interest over the past decade due to their high content of phytochemical compounds related to promising health benefits. To meet consumer expectations, a juice clarification step is usually incorporated to remove suspended solids. The use of pectinolytic enzyme and membrane processes are commonly applied to the production of clarified juices, but no studies have been done on cranberry juice. In this study, the effects of 60 (D60) and 120 min (D120) of depectinization by pectinolytic enzymes coupled to clarification by ultrafiltration (UF) (membrane molecular weight cut-off (MWCO) of 50, 100 and 500 kDa) was evaluated on the filtration performance, membrane fouling and cranberry juice composition. Compared to fresh juice, depectinization for 60 and 120 min reduced the UF duration by 16.7 and 20 min, respectively. The best filtration performance, in terms of permeate fluxes, was obtained with the 500 kDa MWCO UF membrane despite the highest total flux decline (41.5 to 57.6%). The fouling layer at the membrane surface was composed of polyphenols and anthocyanins. Compared to fresh juice, anthocyanin decreased (44% and 58% for D60 and D120, respectively) in depectinized juices whereas proanthocyanidin (PAC) content increased by 16%. In view of the industrial application, a 60 min depectinization coupled to clarification by a 500 kDa UF membrane could be viewed as a good compromise between the enhancement of filtration performance and the loss of polyphenols and their fouling at the membrane surface.
Nanomaterial-Enabled Sensors and Therapeutic Platforms for Reactive Organophosphates

Unintended exposure to harmful reactive organophosphates (OP), which comprise a group of nerve agents and agricultural pesticides, continues to pose a serious threat to human health and ecosystems due to their toxicity and prolonged stability. This underscores an unmet need for developing technologies that will allow sensitive OP detection, rapid decontamination and effective treatment of OP intoxication. Here, this article aims to review the status and prospect of emerging nanotechnologies and multifunctional nanomaterials that have shown considerable potential in advancing detection methods and treatment modalities. It begins with a brief introduction to OP types and their biochemical basis of toxicity followed by nanomaterial applications in two topical areas of primary interest. One topic relates to nanomaterial-based sensors which are applicable for OP detection and quantitative analysis by electrochemical, fluorescent, luminescent and spectrophotometric methods. The other topic is directed on nanotherapeutic platforms developed as OP remedies, which comprise nanocarriers for antidote drug delivery and nanoscavengers for OP inactivation and decontamination. In summary, this article addresses OP-responsive nanomaterials, their design concepts and growing impact on advancing our capability in the development of OP sensors, decontaminants and therapies.
SIMULATION OF CRYOGENIC CAVITATION BY USING BOTH INERTIAL AND HEAT TRANSFER CONTROL BUBBLE GROWTH

The study is concerning the modeling of cavitation in cryogenic flows. The energy equation for the mixture is solved in conjunction with the mass and momentum conservation, and the evaporative cooling effects of cavitation are accounted for. Usually the cavitating flows are modeling with the basic hypothesis of isothermal flow, however it’s known that there is a temperature decrease in the vapor cavity in the case of cryogenic fluids. These fluids, in fact, are characterized by larger compressibility if compared with fluids, such as water, at room temperature, by a small difference in density between vapor and liquid phases and by a small latent heat of vaporization. The aim of this paper is a numerical investigation of this phenomenon, using a multiphase formulation that accounts for the energy balance, variable thermodynamic properties of the fluid and nucleation transport equation. In cavitating flow it has been assumed that there are plenty of nuclei for the inception of cavitation. Thus, the primary focus is on proper accounting of bubble growth and collapse. The expansion/contraction rate of the vapor bubble, is dominated by two mechanisms: a momentum that is needed to push away/pull up ambient liquid, and a heat transfer that is needed to drive phase change at the interface between the bubble and ambient liquid. They are called the inertia (momentum) control and the heat transfer control, respectively. In the expansion process the bubble radial movement is dominated by the inertia only at first and then changes to the heat transfer control. Over the whole contraction process it is controlled by the inertia. In the present work a cavitation model has been implemented by the user in the code Fluent 12.0, according this bubble behavior. Numerical results have also compared with the results obtained by the Schneer-Sauer cavitation model.
Preictal state detection using prodromal symptoms: A machine learning approach

A reliable identification of a high‐risk state for upcoming seizures may allow for preemptive treatment and improve the quality of patients' lives. We evaluated the ability of prodromal symptoms to predict preictal states using a machine learning (ML) approach. Twenty‐four patients with drug‐resistant epilepsy were admitted for continuous video‐electroencephalographic monitoring and filled out a daily four‐point questionnaire on prodromal symptoms. Data were then classified into (1) a preictal group for questionnaires completed in a 24‐h period prior to at least one seizure (n1 = 58) and (2) an interictal group for questionnaires completed in a 24‐h period without seizures (n2 = 190). Our prediction model was based on a support vector machine classifier and compared to a Fisher's linear classifier. The combination of all the prodromal symptoms yielded a good prediction performance (area under the curve [AUC] = .72, 95% confidence interval [CI] = .61–.81). This performance was significantly enhanced by selecting a subset of the most relevant symptoms (AUC = .80, 95% CI = .69–.88). In comparison, the linear classifier systematically failed (AUCs < .6). Our findings indicate that the ML analysis of prodromal symptoms is a promising approach to identifying preictal states prior to seizures. This could pave the way for development of clinical strategies in seizure prevention and even a noninvasive alarm system.
Empagliflozin Attenuates Non-Alcoholic Fatty Liver Disease (NAFLD) in High Fat Diet Fed ApoE(-/-) Mice by Activating Autophagy and Reducing ER Stress and Apoptosis

Aims/hypothesis: SGLT-2 inhibitors (SGLT-2i) have been studied as potential treatments against NAFLD, showing varying beneficial effects. The molecular mechanisms mediating these effects have not been fully clarified. Herein, we investigated the impact of empagliflozin on NAFLD, focusing particularly on ER stress, autophagy and apoptosis. Methods: Five-week old ApoE(-/-) mice were switched from normal to a high-fat diet (HFD). After five weeks, mice were randomly allocated into a control group (HFD + vehicle) and Empa group (HFD + empagliflozin 10 mg/kg/day) for five weeks. At the end of treatment, histomorphometric analysis was performed in liver, mRNA levels of Fasn, Screbp-1, Scd-1, Ppar-γ, Pck-1, Mcp-1, Tnf-α, Il-6, F4/80, Atf4, Elf2α, Chop, Grp78, Grp94, Χbp1, Ire1α, Atf6, mTor, Lc3b, Beclin-1, P62, Bcl-2 and Bax were measured by qRT-PCR, and protein levels of p-EIF2α, EIF2a, CHOP, LC3II, P62, BECLIN-1 and cleaved CASPASE-8 were assessed by immunoblotting. Results: Empagliflozin-treated mice exhibited reduced fasting glucose, total cholesterol and triglyceride serum levels, as well as decreased NAFLD activity score, decreased expression of lipogenic enzymes (Fasn, Screbp-1c and Pck-1) and inflammatory molecules (Mcp-1 and F4/80), compared to the Control group. Empagliflozin significantly decreased the expression of ER stress molecules Grp78, Ire1α, Xbp1, Elf2α, Atf4, Atf6, Chop, P62(Sqstm1) and Grp94; whilst activating autophagy via increased AMPK phosphorylation, decreased mTOR and increased LC3B expression. Finally, empagliflozin increased the Bcl2/Bax ratio and inhibited CASPASE-8 cleavage, reducing liver cell apoptosis. Immunoblotting analysis confirmed the qPCR results. Conclusion: These novel findings indicate that empagliflozin treatment for five weeks attenuates NAFLD progression in ApoE(-/-) mice by promoting autophagy, reducing ER stress and inhibiting hepatic apoptosis.
Obsessive–compulsive disorder and related symptoms amidst the COVID‐19 outbreak: Results from the COLLATE project

and psychiatric disorders: Focus on antidepressants and antipsychotics. Ann. Pharmacother. 2013; 47: 75–89. 8. Piscitelli SC, Burstein AH, Chaitt D, Alfaro RM, Falloon J. Indinavir concentrations and St John’s wort. Lancet 2000; 355: 547–548. 9. Bates DE, Herman RJ. Carbamazepine toxicity induced by lopinavir/ritonavir and nelfinavir. Ann. Pharmacother. 2006; 40: 1190–1195. 10. Anson BD, Weaver JGR, Ackerman MJ et al. Blockade of HERG channels by HIV protease inhibitors. Lancet 2005; 365: 682–686.
Analysis of simultaneous boron and phosphorus diffusion gettering in silicon

We studied the simultaneous phosphorus and boron diffusion gettering (BDG) of iron in silicon by physical modeling. We present improvements to the previously used models for BDG and phosphorus diffusion gettering (PDG). We show that the improved model is suitable for analyzing the gettering efficiency in advanced solar cell structures with phosphorus doped (n+) and boron doped (p+) layers by comparing simulations with experimental results. The simulations indicate that during a low temperature step with high iron concentration, an additional p+ layer reduces the time needed for an effective gettering, whereas under low supersaturation segregation to the n+ layer is the dominating gettering mechanism.
Beneficial Effects of Epigallocatechin-3-O-Gallate, Chlorogenic Acid, Resveratrol, and Curcumin on Neurodegenerative Diseases

Many observational and clinical studies have shown that consumption of diets rich in plant polyphenols have beneficial effects on various diseases such as cancer, obesity, diabetes, cardiovascular diseases, and neurodegenerative diseases (NDDs). Animal and cellular studies have indicated that these polyphenolic compounds contribute to such effects. The representative polyphenols are epigallocatechin-3-O-gallate in tea, chlorogenic acids in coffee, resveratrol in wine, and curcumin in curry. The results of human studies have suggested the beneficial effects of consumption of these foods on NDDs including Alzheimer’s and Parkinson’s diseases, and cellular animal experiments have provided molecular basis to indicate contribution of these representative polyphenols to these effects. This article provides updated information on the effects of these foods and their polyphenols on NDDs with discussions on mechanistic aspects of their actions mainly based on the findings derived from basic experiments.
Theoretical Study of the Structure and Vibrational Spectrum of [Zn(2-Aminothiazole)2Cl2]

The geometry optimization of [Zn(2-Aminothiazole)2Cl2] complex was done in gas and in water phase by ab initio, Hartree-Fock (HF) and Density Functional Theory (DFT/B3LYP) methods with 6-31G(d, p) basis set. A complete vibrational assignment was provided for the observed IR spectra. The bond orders and the electronic properties of the complex were calculated. The calculated highest occupied molecular orbital (HOMO) and lowest unoccupied molecular orbital (LUMO) with frontier orbital gap were presented. The electrostatic potential was calculated in order to investigate the reaction properties of the molecule. The important thermo-dynamical parameters were also reported.
Effect of Lactic Acid Fermentation on Quinoa Characteristics and Quality of Quinoa-Wheat Composite Bread

The application of selected starter cultures with specific properties for fermentation may determine steady lactic acid bacteria (LAB) variety and the characteristics of fermented products that influence nutritional value, the composition of biologically active compounds and quality. The aim of this research was to evaluate the influence of different LAB on the biochemical characteristics of fermented quinoa. Moreover, total phenolic content (TPC), and the antimicrobial and antioxidant activities of protein fractions isolated from quinoa previously fermented with LAB were investigated. Quinoa additives, including quinoa fermented with Lactobacillus brevis, were incorporated in a wheat bread recipe to make nutritionally fortified quinoa-wheat composite bread. The results confirmed that L. plantarum, L. brevis, and L. acidophilus were well adapted in quinoa medium, confirming its suitability for fermentation. LAB strains influenced the acidity, L/D-lactic acid content, enzyme activity, TPC and antioxidant activity of fermented quinoa. The maximum phytase activity was determined in quinoa fermented with L. brevis. The results obtained from the ABTS radical scavenging assay of protein fractions confirmed the influence of LAB strain on the antioxidant activity of protein fractions. The addition of 5 and 10% of quinoa fermented with L. brevis did not affect the total titratable acidity of wheat bread, while 10% of fermented quinoa with L. brevis resulted in a higher specific volume. Fermented quinoa additives increased the overall acceptability of bread compared with unfermented seed additives.
Autoinhibitory elements of the Chd1 remodeler block initiation of twist defects by destabilizing the ATPase motor on the nucleosome

Significance Nucleosomes, the fundamental packaging unit of eukaryotic chromosomes, affect gene expression profiles based on their positioning. By shifting nucleosomes along genomic DNA, chromatin remodelers are key reorganizing factors that are often mutated in cancers and developmental disorders. Here, we demonstrate how one remodeler class, called Chd1, uses autoinhibitory elements to control the direction of nucleosome sliding. We show that, through positioning of its DNA-binding domain, the autoinhibitory elements of Chd1 can block an initial stage of DNA distortion required for sliding. This interference by autoinhibitory domains weakens remodeler–nucleosome interactions, transiently preventing subsequent binding and hydrolysis of ATP from ratcheting nucleosomes along DNA. Chromatin remodelers are ATP (adenosine triphosphate)-powered motors that reposition nucleosomes throughout eukaryotic chromosomes. Remodelers possess autoinhibitory elements that control the direction of nucleosome sliding, but underlying mechanisms of inhibition have been unclear. Here, we show that autoinhibitory elements of the yeast Chd1 remodeler block nucleosome sliding by preventing initiation of twist defects. We show that two autoinhibitory elements—the chromodomains and bridge—reinforce each other to block sliding when the DNA-binding domain is not bound to entry-side DNA. Our data support a model where the chromodomains and bridge target nucleotide-free and ADP-bound states of the ATPase motor, favoring a partially disengaged state of the ATPase motor on the nucleosome. By bypassing distortions of nucleosomal DNA prior to ATP binding, we propose that autoinhibitory elements uncouple the ATP binding/hydrolysis cycle from DNA translocation around the histone core.
Effect of riluzole on weight in short-term and long-term survivors of amyotrophic lateral sclerosis

Abstract Introduction Riluzole is the first disease-modifying therapy for amyotrophic lateral sclerosis (ALS) approved in 1995 by the Food and Drug Administration in the USA, and is now available worldwide. It delays time to tracheostomy or death and prolongs survival. The precise mechanism of the survival prolonging effect is unknown. Malnutrition and ensuing weight loss are associated with shorter survival in ALS. Given the life-prolonging effects of riluzole and nutritional maintenance, we examined the relationship between riluzole and weight in ALS patients. Materials and Methods: Using data from the National ALS Center of Excellence clinic database at the University of Vermont Medical Center, we stratified 244 patients into cohorts based on riluzole use, and duration of survival from the baseline visit into short-term (≤3 years) and long-term (>3 years) survivors. We examined average monthly weight change in patients during the first year after the baseline visit, and the last year before death. Results and Discussion: In 156 short-term survivors taking riluzole compared to those not taking riluzole, there was a 37% attenuation of weight loss in the first year after baseline, and 46% attenuation of weight loss in the last year before death. Seventy-four n long-term survivors on riluzole showed reduced weight decline in the first year after the baseline visit. We speculate that one mechanism by which riluzole may affect survival is by attenuating weight loss and possibly maintaining nutritional status and body composition, although this warrants prospective study.
BONE QUALITY IN ADULTS WITH SEVERE MOTOR AND INTELLECTUAL DISABILITIES

Objective To determine bone quality in adults with severe motor and intellectual disabilities. Design A retrospective cohort study. Patients Bone quality of 60 patients with severe motor and intellectual disabilities (28 men, 32 women; mean age 57 years) at a long-term care facility for adults was examined retrospectively. Methods Quantitative ultrasonography was used to measure the stiffness index, T-score and Z-score of the calcaneus. A multiple linear regression model, including sex, age, anti-epileptic drug use, tube-feeding status, and current and peak physical abilities, was used to identify significant predictors of T-scores. Results Quantitative ultrasonography revealed that all patients had lower bone quality (based on T-scores, Z-scores, and stiffness index), and all patients had T-scores with standard deviations (SD) below 1.8. Current physical ability, age, and anti-epileptic drug use were significant factors in T-score determination, while tube-feeding and peak physical ability were not. The ability to walk without assistance was the most significant predictor in quantitative ultrasonography. Conclusion Severely low bone quality is observed in patients with severe motor and intellectual disabilities; and it is strongly associated with current physical activity. It is important that patients with severe motor and intellectual disabilities preserve their physical abilities to prevent osteoporosis- related fractures. LAY ABSTRACT Fractures are common in adults with severe motor and intellectual disabilities. This study assessed the bone quality of 60 individuals from young adult to advanced age. All patients had low bone quality from a young age, and current physical ability, age, and anti-epileptic drug use were factors affecting bone quality, while tube-feeding and peak physical ability were not. Severely low bone quality in patients with severe motor and intellectual disabilities is strongly associated with current physical activity levels. It is very important for patients with severe motor and intellectual disabilities to increase and preserve their physical activities and abilities, respectively, to prevent osteoporosis-related fractures.
Increased telestroke call burden after the extended thrombectomy window trials

Introduction Clinical trials have proven the efficacy of mechanical thrombectomy in stroke patients with large-vessel occlusion presenting within 24 hours of symptom onset. Extending the thrombectomy window to 24 hours resulted in a higher number of thrombectomies being performed. However, little is known about the impact of the extended thrombectomy window on the telestroke call burden. Methods We used the prospectively maintained database of a telestroke network covering a large geographic area in the Southeast USA. We included patients presenting between January 2015 and December 2019. We compared the characteristics and outcomes between patients who presented before and after the publication of the extended window thrombectomy trials. Results A total of 9041 patients presented with stroke-like symptoms during the study period. Of these, 4995 presented after February 2018. There was no difference in the patient demographics in both groups. However, patients in the post extended window group had a lower National Institute of Health Stroke Scale on presentation (3 vs. 4; p < 0.001) and longer symptom-onset-to-door time (124 vs. 85 minutes; p < 0.001). The number of consults per month nearly doubled (200 vs. 103; p < 0.001) in the extended thrombectomy window era. Similarly, the number of mechanical thrombectomies performed per month increased from four to seven since extending the thrombectomy window (p < 0.001). Discussion The number of telestroke consults nearly doubled after the publication of the extended thrombectomy window trials, with an increase in the number of thrombectomies performed. These findings have important operational implications for hospitals implementing telestroke call coverage.
Hybrid Cyber Petri net Modelling, Simulation and Analysis of Master-Slave Charging for Wireless Rechargeable Sensor Networks

Wireless charging provides continuous energy for wireless sensor networks. However, it is difficult to replenish enough energy for all sensor nodes with fixed charging alone, and even more unrealistic to charge a large number of nodes within a short time via mobile charging. In order to overcome the above weaknesses, this paper firstly puts forward a Master-Slave Charging mode for the WRSN (Wireless Rechargeable Sensor Network), where fixed charging is the master mode and mobile charging is the slave mode, respectively. However, Master-Slave Charging is a typical hybrid system involving discrete event decision and continuous energy transfer. Therefore, the Hybrid Cyber Petri net system is proposed to build a visual specification with mathematical expression of Master-Slave Charging. Moreover, wireless charging in the WRSN is modeled and evaluated from the perspective of a hybrid system for the first time. Furthermore, a greedy-genetic algorithm is proposed to obtain the deployment of fixed chargers and the path planning of a mobile charger, by maximizing the actual electric quantity of the master charging problem and minimizing the mobile charger’s travelling path of the slave charging problem. Finally, the simulation results confirm and verify the Hybrid Cyber Petri net model for Master-Slave Charging. It is worth noting that the proposed model in this paper is highly adaptable to various charging modes in the WRSN.