Cereal type and conditioning temperature altered protein and carbohydrate molecular structure, nutrient retention and performance in broilers fed pellet diets during starter and grower period

1. Effects of cereal type and conditioning temperature (CT) on protein and carbohydrate (CHO) molecular structures, nutrient retention, carcass and blood characteristics, caecal microbial population and growth criteria of broilers fed pellet diet were evaluated for a total period of 35 d.2. In total, 336-day-old Cobb 500 broiler chicks were randomly allotted into a 2 × 2 factorial arrangement with two different cereal types (maize or wheat) processed in two different temperatures (CT; 68°C or 90°C) with seven pen replicates containing 12 birds each.3. Chicks fed the maize-based diets significantly gained higher body weight (BW) and lower feed conversion ratio (FCR) in comparison to the chicks fed wheat-based diets during the whole grow-out period (p < 0.01). Overall, the highest BW and feed intake (FI) were seen in birds fed wheat-based diets conditioned at 68°C, but the lowest FCR was observed in maize-based diet conditioned at 90°C at 7, 14 and 21 d of age (p < 0.01). However, BW was higher and FCR lower in chicks fed maize-based diets conditioned at 90°C in the grower period (28 and 35 d; p < 0.01).4. The α-helix height was higher in wheat-based starter diets in comparison to the maize-based diet (p < 0.01). Ratio of amide I to II area and total CHO peak height were increased when diets were processed at 90°C in both maize and wheat-based starter diet (p < 0.05). Increasing the CT from 68°C to 90°C reduced CHO peak 1 and 2 height by 11.6% and 3.95%, respectively, in maize-based starter diets, while increasing the CT from 68°C to 90°C reduced CHO peak 1 and 2 height by 54.3% and 57.2%, respectively, in wheat-based starter diets. In the grower diets, increasing the CT from 68°C to 90°C increased CHO peak 1 by 23% in maize-based diets, but reduced CHO peak 1 by 24.5% in wheat-based diets.5. Calcium and phosphorous retention were highest in chicks fed wheat-based diets conditioned at 90°C and lowest in chicks fed maize-based diets conditioned at 90°C (p < 0.01). Salmonella, E. coli and coliforms in the caeca reduced significantly (p < 0.05) in chicks fed wheat-based diets conditioned at 90°C on d 11 and increased with the same diet at 35 d of age compared to the chicks fed maize-based diets conditioned at both 68°C and 90°C or wheat-based diets conditioned at 68°C.6. Conditioning the wheat-based diets at 68°C improved production responses without causing any adverse effects on protein and CHO molecular structures, however increasing the conditioning temperature to 90°C impaired performance due to alteration of protein and CHO molecular structures. In contrast, conditioning of the maize-based diets at 90°C had the opposite effect, and improved production performance compared to diets conditioned at 68°C.

Machine learning-enabled performance prediction and optimization for iron-chromium redox flow batteries

Iron-chromium flow batteries (ICRFBs) are regarded as one of the most promising large-scale energy storage devices with broad application prospects in recent years. However, transitioning from laboratory-scale development to industrial-scale deployment can be a time-consuming process due to the multitude of complex factors that impact ICRFB stack performance. Herein, a data-driven optimization methodology applying active learning, informed by an extensive survey of the literature encompassing diverse experimental conditions, is proposed to enable exceptional precision in predicting ICRFB system performance considering both operation conditions and key materials selection. Specifically, multitask ML models are trained on experimental data with a high prediction accuracy (R2 > 0.92) to link ICRFB properties to energy efficiency, coulombic efficiency, and capacity. We also interpret the ML models based on Shapley additive explanations and extract valuable insights into the importance of descriptors. It is noted that the operation conditions (current density and cycle number) and the electrode type are the most critical descriptors affecting the voltage efficiency and coulombic efficiency while the electrode size strongly affects the capacity. Moreover, active learning is used to explore the most optimized cases considering the highest energy efficiency and capacity. The versatility and robustness of the approach are demonstrated by the successful validation between ML prediction and our experiments of energy efficiency (±0.15%) and capacity (±0.8%). This work not only affords fruitful data-driven insight into the property-performance relationship, but also unveils the explainability of critical properties on the performance of ICRFBs, which accelerates the rational design of next-generation ICRFBs.

Improvement of steel alloys using indirect cooling grinding (I.C.G.)

Appropriate choice of machining conditions contributes directly to improved performance of the machining process. Cooling and lubricating the grinding surface in the machining process has been done using different methods, but each method has its own disadvantages. A new cooling system is proposed in this research to improve the surface roughness in flat-surface grinding. The workpiece is cooled using a mixture of water and antifreeze as a coolant, without directly contacting the cutting tool. The temperature of the workpiece surface remains fixed, and grinding of the workpiece is performed. This novel method has several benefits including no oxidation of workpiece and tool surfaces, no surface hardening from rapid cooling, no chip addition to the coolant, and extended grinding capabilities without replacement. The proposed methodology was tested on four steel alloys, including hot-worked and cold-worked steel, as well as two improved alloys. The tests involved changing various parameters such as the depth of cut, surface temperature, and coolant flow-rate, to analyze how they affected surface roughness. According to the results, the proposed method was remarkably efficient for low-chromium steel alloys. The best surface roughness was obtained using the indirect cooling system for the 1.1191 steel alloy (an improved steel alloy). In general, better results (lower roughness at higher cutting depth) were achieved at higher coolant flow-rates.

Robust QFT control design for a multivariable torsion/bending of rotational nanoscanner

This paper proposes a reasonable, practical, and novel method for designing a robust controller for two degrees of freedom nano-electromechanical scanners based on the combination of quantitative feedback theory (QFT) and the Taguchi method. Although the main primary of this paper devotes to rotational control, an investigation of two-degree freedom (rotational/bending) is studied by employing the Taguchi method. A moveable main plate suspended by two nano-beams over a fixed substrate electrode is used to represent the scanner. The nanoscanner is thoroughly analyzed using the most comprehensive modeling design, considering the elastic, electrical, Casimir force and moment, and squeezes film damping. The nanoscanner's governing equations are initially derived by considering both rotation and deformation. In addition, because the size dependency of materials is significant in ultra-small structures, we developed the constitutive equations within the context of the modified couple stress theory to integrate the effect of scale dependency. Next, system uncertainties have been wholly addressed to achieve an accurate model. As a result, using robust control methods such as quantitative feedback theory to precisely control nano-scanners in the presence of uncertainties is inevitable. The quantitative feedback approach transforms the nonlinear plant into a family of linear uncertain plants in the first part. This is accomplished using a fixed-point theorem, after which appropriate disturbance rejection boundaries are discovered. In this problem, quantitative feedback controllers and checking the system's stability at any frequency and time are intended to solve the tracking problem and the disturbance rejection issue. Due to the uncertainty associated with the system model's complexity and accuracy, we employ a QFT controller to control the system. Moreover, because this system has only one input and two outputs, and changing the controller's gain is complicated, the Taguchi method has been employed to enhance better performance. Nonlinear simulations of the tracking issue are carried out, and the results demonstrate the effectiveness of the developed controllers and prefilters. The findings show that using the suggested approach effectively overcomes the challenges to robust control of a nonlinear rotational nanoscanner, and also the system achieves the best angle and deflection adjustment accuracy.

Co-Selection of Bacterial Metal and Antibiotic Resistance in Soil Laboratory Microcosms

Accumulation of heavy metals (HMs) in agricultural soil following the application of superphosphate fertilisers seems to induce resistance of soil bacteria to HMs and appears to co-select for resistance to antibiotics (Ab). This study aimed to investigate the selection of co-resistance of soil bacteria to HMs and Ab in uncontaminated soil incubated for 6 weeks at 25 °C in laboratory microcosms spiked with ranges of concentrations of cadmium (Cd), zinc (Zn) and mercury (Hg). Co-selection of HM and Ab resistance was assessed using plate culture on media with a range of HM and Ab concentrations, and pollution-induced community tolerance (PICT) assays. Bacterial diversity was profiled via terminal restriction fragment length polymorphism (TRFLP) assay and 16S rDNA sequencing of genomic DNA isolated from selected microcosms. Based on sequence data, the microbial communities exposed to HMs were found to differ significantly compared to control microcosms with no added HM across a range of taxonomic levels.

A novel microfluidic device with parallel channels for sperm separation using spermatozoa intrinsic behaviors

Isolating high-quality motile sperm cells is considered to be the main prerequisite for a successful artificial pregnancy. Microfluidics has emerged as a promising platform capable of mimicking in-vivo environments to separate motile sperm cells and bypassing the need for the current invasive clinical sperm separation methods. In this study, the proposed microfluidic device exploits the parallelization concept through symmetry to increase both the processed sample volume and the injected flow rate compared with the previous conventional devices, which used rheotaxis as their primary method of sperm separation. Using the finite element method (FEM) and flow simulations, the trajectories of sperm cells exhibiting rheotaxis behavior were predicted inside the proposed device. Different flow rates, including 0, 0.5, 1.5, 3, 4.5 and 6 μl/min, were experimentally injected into the device, and the effect of flow rate on the size of the hypothetical rheotaxis zone and the number of isolated sperm cells was investigated. Furthermore, it was illustrated that 100% of the isolated motile sperm cells are motile, and by manipulating the injected flow rate into the device, different classes of sperm cells in terms of motility parameters can be separated and utilized for further uses.

A novel microfluidic system to separate sperm using spermatozoa inherent motion and inertial effect

Sperm separation is an essential part of in vitro fertilization (IVF) process. In conventional procedures, the semen sample is purified from immotile and round cells using centrifugation, which may damage sperm DNA. This study aimed to design a novel microchip to separate the progressively motile spermatozoa using a passive method instead of centrifugation. This microchip is a novel, non-invasive, and two-stage device for auto-selecting the sperm used for IVF. The first stage was designed based on lateral differentiation and rapid divergence to separate the pathways of sperm and round cells. The second stage separates high-quality sperm based on their inherent motion. Before experimenting with fresh human semen samples, preliminary tests were performed using standard particles. The results showed that at the optimized flow rate for separation (1.7 ml/h), the concentration of progressively motile spermatozoa at outlet was significantly increased compared with the initial sample.

Highly Fluorescent Collagen-Based Quantum Dots as an Efficient Interlinkage in the 2D Perovskite Bulk for Improved Solar Cells

A design-inexpensive, effective, and easy-to-prepare additive in the large-scale preparation of perovskite solar cells (PSCs) is urgently desired to alleviate the future energy crisis. Carbon-based quantum dots have demonstrated novel nanomaterials with excellent chemical stability and high electrical conductivity, which exhibit great potential as additives for perovskite optoelectronics. Herein, we designed novel highly fluorescent collagen-based quantum dots (Col-QDs) and thoroughly studied the micromorphological characteristics, photoluminescence properties, and the states of surface-functionalized groups on the Col-QDs. It is found that the introduction of Col-QDs in the two-dimensional (2D) perovskite precursor can be further confirmed as an efficient interlinkage via Col-Pb bands in the pure 2D perovskite heterojunction, which significantly improves the crystallinity, orientation, and interlayer coupling of perovskite crystal plates, as observed by grazing incidence X-ray diffraction (GIWAXS) and X-ray photoelectron spectroscopy (XPS). Finally, the champion Col-QD additive can efficiently modulate the photovoltaic performance of pure 2D PSCs with a significant increase of photoelectric conversion efficiency (PCE) from 8.18% up to 10.45%, which ranks among the best efficiencies of highly pure 2D PSCs. These results provide a facile and feasible approach to modulate the interlayer interaction of pure 2D perovskites and further improve their output of PSCs, which would further facilitate the burgeoning applications of the Col-QDs in various perovskite-based optical-related fields.

Optimal Impulsive Control Using Adaptive Dynamic Programming and its Application in Spacecraft Rendezvous

Optimal control of nonlinear impulsive systems with free impulse instants and the number of impulses is investigated in this study. A scheme based on adaptive dynamic programming is developed, which leads to a feedback (approximate) solution to the defined optimal impulsive control problem. This is done by proposing a learning algorithm for tuning parameters of a function approximator, which, once tuned offline, provides feedback solution on-the-fly. The scheme is shown to handle single and multiple impulsive actuators with a small online computational burden. Afterward, the controller is applied to a challenging problem, namely, the orbital maneuver of spacecraft with the fixed final time using impulsive actuators. The objective is triggering the actuators in a fuel-optimal manner such that the spacecraft transfers to the desired orbit at a prescribed time. It was shown that the proposed scheme leads to simultaneous and feedback path planning and control for the maneuver. The potentials of the scheme are analyzed in different scenarios, including enforcing a shorter final time, selecting different initial states, and incorporating actuator faults.

Regulation of CTLA-4 and PD-L1 Expression in Relapsing-Remitting Multiple Sclerosis Patients after Treatment with Fingolimod, IFNβ-1α, Glatiramer Acetate, and Dimethyl Fumarate Drugs

Multiple sclerosis (MS) is a chronic demyelinating disease of the central nervous system (CNS) that is characterized by inflammation which typically results in significant impairment in most patients. Immune checkpoints act as co-stimulatory and co-inhibitory molecules and play a fundamental role in keeping the equilibrium of the immune system. Cytotoxic T-lymphocyte antigen-4 (CTLA-4) and Programmed death-ligand 1 (PD-L1), as inhibitory immune checkpoints, participate in terminating the development of numerous autoimmune diseases, including MS. We assessed the CTLA-4 and PD-L1 gene expression in the different cell types of peripheral blood mononuclear cells of MS patients using single-cell RNA-seq data. Additionally, this study outlines how CTLA-4 and PD-L1 expression was altered in the PBMC samples of relapsing-remitting multiple sclerosis (RRMS) patients compared to the healthy group. Finally, it investigates the impact of various MS-related treatments in the CTLA-4 and PD-L1 expression to restrain autoreactive T cells and stop the development of MS autoimmunity.

Investigating the Prevalence of Intestinal Parasites in Immunocompromised Patients in Bushehr Province, Southwest Iran: A Conventional and Molecular Study

Objective

The aim of this study was to determine the status of intestinal parasitic infections in immunocompromised patients in Bushehr province, southwest Iran by conventional and molecular methods.

Methods

A total of 201 stool samples were collected from kidney transplant recipients, AIDS patients and patients under chemotherapy. Samples were collected from healthy people as the control group. The specimens were tested using various conventional methods. Polymerase chain reaction (PCR) testing was performed on samples identified as positive for Coccidia by direct microscopic examination.

Results

Approximately 32.45% were infected with at least one type of intestinal parasite. The highest (46.8%) and lowest rates of infection (24%) were observed in AIDS and chemotherapy patients, respectively, while the infection rate of the control group was 16%. Isospora spp. and Cryptosporidium spp. were observed in all patient groups, and Sarcocystis spp. sporocysts were detected in one of the transplant recipients. All identified coccidia were confirmed by PCR. There was a significant relationship between the rate of intestinal parasite infection and certain variables.

Conclusion

Given the potential risk of certain intestinal parasites in people with immune deficiency, it is recommended that diagnosis of parasitic infections in such patients be based on specific parasitological methods. Thus, it is advisable that physicians refer them to a parasitology laboratory prior to drug administration.

Evaluating high pressure-treated corn and waxy corn starches as novel fat replacers in model low-fat O/W emulsions: A physical and rheological study

High hydrostatic pressure-treated corn starch (HPCS) and waxy corn starch (HPWCS) at three concentrations (10%, 15%, and 20%) were applied as novel fat replacers in a model low O/W emulsion at three fat reduction levels (FR, 25%, 50%, and 75%) and some physical, textural and rheological characteristics and stability of the samples were examined and compared with the control. Applying higher concentrations of HPCS and HPWCS increased the zeta potential, hardness and consistency (mainly for HPWCS samples), reversely decreased the Z-average particle size and polydispersity index of the reduced-fat emulsions, but augmenting FR levels caused a reverse inclination. The rheological assay cleared that the emulsions prepared with HPWCS had greater elastic modulus (G') and more gap between G' and viscous modulus (G″) at all concentrations than the HPCS-contained samples. The critical stress (τ_c) of 25FR samples were significantly higher than the control, showing the well stability of reduced-fat samples. Also, the τ_c of the HPCS-contained emulsions reduced meaningfully when the FR level increased from 25% to 75%, but for the HPWCS samples, fat reduction didn't change the τ_c value significantly up to 50% fat reduction. Based on Tangδ_s(n-LVE), HPWCS contained samples showed more spreadability than the HPCS-contained emulsions.

Challenges in the Management of Care of Brain-Dead Patients in the Donation Process: A Qualitative Content Analysis

BACKGROUND

In care of brain-dead patients, nurses face several challenges. It is important to determine the context behind these challenges since they affect the performance of nurses and the organ donation process.

OBJECTIVE

To identify factors affecting the emergence of challenges related to the management of brain-dead patients by nurses in the donation process.

METHODS

In this qualitative conventional content analysis, data were collected by performing 28 semi-structured and in-depth interviews with nurses working in the ICUs. Purposive sampling started from March 2014 until saturation, which was reached in June 2016. Data analysis occurred simultaneously with data collection.

RESULTS

Qualitative analysis of contents provided from interviews led to the extraction of themes that showed the experience of nurses about the challenges of caring for brain-dead patients in the donation process. These themes included "doubt and conflict in accepting the situation" and "defects in an effective and targeted care system." In the end, the main theme of "inconsistency and incompatibility of care management" was abstracted.

CONCLUSION

According to the results of the study, factors involved in the emergence of challenges for nurses in care management included defects in education or managerial problems, which increased tension for nurses.

Monoamine oxidase inhibitory activity of flavoured e-cigarette liquids

BACKGROUND AND AIMS

Monoamine oxidase inhibitors have been hypothesised to be important in tobacco dependence, reinforcing the brain's response to nicotine by delaying the degradation of neurotransmitters by monoamine oxidases. The development of electronic cigarettes has provided an alternative nicotine delivery system, which is widely viewed as less toxic than tobacco smoke. However, significant data gaps remain. This paper reports the results of measurements of monoamine oxidase inhibitory activity in a small sample of commercially available, flavoured e-liquids.

METHODS

Twelve e-liquids were tested for monoamine oxidase inhibitory activity, using the kynuramine assay and monoamine oxidase enzymes (human, recombinant). Control samples of carrier liquids, propylene glycol and glycerol, and nicotine were also tested.

RESULTS

Four e-liquids contained high levels of inhibitory activity, four more were moderately inhibitory. The remaining four e-liquids were mildly inhibitory, while the carrier liquids, and nicotine were inactive at relevant concentrations. The active compounds in the e-liquids were subsequently identified as vanillin and ethyl vanillin. Under some conditions of use, the sampled e-liquids with the highest concentrations of monoamine oxidase inhibitory activity have the potential to expose consumers to physiologically significant levels of MAO inhibitory activity.

CONCLUSIONS

While only a small sample of e-liquids was tested, the findings suggest that some flavours have pharmacological actions, with potential to enhance the response to nicotine or to other drugs. The public health implications of these preliminary findings on addiction and smoking cessation warrant exploration and further research.

The Most Important Criteria for Selection of Foods in Yazd

Background: Selection of the right foods is the first step to have a healthy society. Food selection criteria depend on the food characteristics and food culture in an area. One of the most important factors in selection of the food items is the individuals' social differences and gender issues. Methods: In this paper, 500 people were selected from Yazd city.  Later, this population was categorized into four categories of 125 and the types of food choices were investigated in each category. The data were analyzed to evaluate the groups using SPSS 16. Results: The results showed that the most important factor in selecting a food type was brand, whereas, the least important one was awards and lotteries. The price is the most important criterion for shopping in downtown areas and its rate was higher in men. Conclusion: It can be concluded that the brand, price, and physical and emotional characteristics of food items had greater impact on buyers.

Preparation, characterization and comparison of biological potency in two new Zn(II) and Pd(II) complexes of butanedione monoxime derivatives

A novel Schiff base ligand (2-iminothiophenol-2,3-butanedione monoxime, ITBM) and its complexes with Pd(II) and Zn(II) metal ions ([M(ITBM)₂]Cl₂) were synthesized and characterized in the present study. The formulated complexes were evaluated for in vitro antioxidant activity as radical scavengers against 1,1-diphenyl-2-picrylhydrazyl radicals (DPPH^•). According to the results, antioxidant activity of Pd complex (IC₅₀=36 mg L^-1) was more effective than that of Zn(II) complex (IC₅₀=72 mg L^-1). Biophysical techniques along with computational modeling were employed to examine the binding of these complexes with human serum albumin (HSA) as the model protein. The trial findings revealed an interaction between Schiff base complexes and HSA with a modest binding affinity [K_b=6.31(±0.11)×10⁴ M^-1 for Zn(II) complex and 0.71(±0.05)×10⁴ M^-1 for Pd(II) complex at 310 K]. An intense fluorescence quenching of protein through a static quenching mechanism was occurred due to the binding of both complexes to HSA. Hydrogen bonds and van der Waals forces in both examined systems were the main stabilizing forces in the development of drug-protein complex. Based on far-UV-CD observations, the content of α-helical structure in the protein was reduced through induction by both complexes. Analysis of protein-ligand docking demonstrated binding of the two Schiff base complexes to residues placed in the IIA subdomain of HSA. In addition, Zn complex with HSA showed a stronger binding ability than that of Pd complex.Communicated by Ramaswamy H. Sarma.

Chemical Composition and Antifungal Activity of Essential Oil of Zataria Multiflora

Background: Aspergillus flavus is a toxic contaminant in foods, which can induce mutagenic, teratogenic, and carcinogenic effects. In last decades, synthetic fungicides have been used for inhibition of fungal growth in plants. The public attention was also attracted to contamination of food chain by these chemicals. Therefore, in the current study, we decided to use Zataria multiflora (ZM) essential oil to inhibit the Aspergillus flavus growth. Method: The essential oil from ZM was obtained by hydro-distillation and analyzed by GC/MS. The minimal inhibitory concentration (MIC) and minimal fungicidal concentration (MFC) of ZM essential oil were determined at different concentrations (0-1000 ppm). Results: In this study, Carvacrol (33.45%) and Thymol (34.44%) were the most frequent compounds of the ZM essential oil. The minimum inhibitory and fungicidal concentrations were 100 and 400 ppm, respectively. Conclusions: The presence of phenolic compounds such as Thymol and Carvacrol, as the major components of ZM essential oil inhibits the Aspergillus flavus growth. Furthermore, this essential oil has a very strong anti-bacterial effect. Considering these results, it seems that ZM essential oil is potentially an appropriate natural alternative for controlling Aspergillus flavus fungus.

Stability Analysis of Optimal Adaptive Control Under Value Iteration Using a Stabilizing Initial Policy

Adaptive optimal control using value iteration initiated from a stabilizing control policy is theoretically analyzed. The analysis is in terms of stability of the system during the learning stage and includes the system controlled by any fixed control policy and also by an evolving policy. A feature of the presented results is finding subsets of the region of attraction. This is done so that if the initial condition belongs to this region, the entire state trajectory remains within the training region. Therefore, the function approximation results remain reliable, as no extrapolation will be conducted.

Optimal Triggering of Networked Control Systems

This paper is focused on bandwidth allocation in nonlinear networked control systems. The objective is optimal triggering/scheduling for transmitting sensor measurements to the controller through a communication network. An algorithm based on approximate dynamic programming is developed for problems with fixed final times and then the result is extended to problems with infinite horizon. Zero-order-hold (ZOH), generalized ZOH, and networks with packet dropouts are the investigated cases. Problems with unknown models are also addressed and a model-free scheme is established for learning the (approximate) optimal solution. The convergence, optimality, and stability of the results are analyzed and, afterwards, some numerical analyses are presented for demonstrating the potentials of the algorithms in practice.

Suboptimal Scheduling in Switched Systems With Continuous-Time Dynamics: A Least Squares Approach

Two approximate solutions for optimal control of switched systems with autonomous subsystems and continuous-time dynamics are presented. The first solution formulates a policy iteration (PI) algorithm for the switched systems with recursive least squares. To reduce the computational burden imposed by the PI algorithm, a second solution, called single loop PI, is presented. Online and concurrent training algorithms are discussed for implementing each solution. At last, effectiveness of the presented algorithms is evaluated through numerical simulations.

Optimal Switching of DC-DC Power Converters Using Approximate Dynamic Programming

Optimal switching between different topologies in step-down dc-dc voltage converters, with nonideal inductors and capacitors, is investigated in this paper. Challenges including constraint on the inductor current and voltage leakages across the capacitor (due to switching) are incorporated. The objective is generating the desired voltage with low ripples and high robustness toward line and load disturbances. A previously developed tool, which is based on approximate dynamic programming, is adapted for this application. The scheme leads to tuning a parametric function approximator to provide optimal switching in a feedback form. No fixed cycle time is assumed, as the cycle time and the duty ratio will be adjusted on the fly in an optimal fashion. The controller demonstrates good capabilities in controlling the system even under parameter uncertainties. Finally, some modifications on the scheme are conducted to handle optimal switching problems with state jumps at the switching times.

Antioxidant activity and total phenolic content of ethanolic extract of pomegranate peels, juice and seeds

Pomegranate (Punica granatum L.) is extensively cultivated in Middle East especially in Iran. For centuries, this fruit has been used in Iranian herbal medicine. Pomegranate peel, seed and juice contain considerable amounts of phenolic compounds and have antioxidant activity. Pomegranate peels, juice and seeds from three regions of Natanz, Shahreza, and Doorak were obtained. Antioxidant activity, total phenolic, flavonoids, and flavonols contents of pomegranate peels, seeds and juices extracts were analyzed. The β-carotene bleaching test and Folin-Ciocalteu method were applied in this study. The pomegranate peel extract showed high levels of antioxidant activity in comparison to seeds and juices. Doorak peel by 58% had the highest antioxidant activity among two other peels. Total phenolics, flavonoids, and flavonols contents of pomegranate peel were evaluated much more higher than seeds and juices. The significant positive correlation between antioxidant activity and total phenolics was reported. According to achieved results, high antioxidant capacity of pomegranate especially peel, had shed light to use them as natural food preservatives.

Epidemiology and pathophysiology of malignancy in common variable immunodeficiency?

Common variable immunodeficiency (CVID) is a diagnostic category of primary immunodeficiency (PID) which may present with heterogeneous disorders including recurrent infections, autoimmunity, granulomatous diseases, lymphoid and other types of malignancies. Generally, the incidence of malignancy in CVID patients is around 1.5-20.7% and usually occurs during the 4th-6th decade of life. Non-Hodgkin lymphoma is the most frequent malignancy, followed by epithelial tumours of stomach, breast, bladder and cervix. The exact pathological mechanisms for cancer development in CVID are not fully determined; however, several mechanisms including impaired genetic stability, genetic predisposition, immune dysregulation, impaired clearance of oncogenic viruses and bacterial infections, and iatrogenic causes have been proposed to contribute to the high susceptibility of these patients to malignancies.

Binding forces between a novel Schiff base palladium(II) complex and two carrier proteins: human serum albumi and β-lactoglobulin

Ligand binding studies on carrier proteins are crucial in determining the pharmacological properties of drug candidates. Here, a new palladium(II) complex was synthesized and characterized. The in vitro binding studies of this complex with two carrier proteins, human serum albumin (HSA), and β-lactoglobulin (βLG) were investigated by employing biophysical techniques as well as computational modeling. The experimental results showed that the Pd(II) complex interacted with two carrier proteins with moderate binding affinity (K_b ≈ .5 × 10⁴ M^-1 for HSA and .2 × 10³ M^-1 for βLG). Binding of Pd(II) complex to HSA and βLG caused strong fluorescence quenching of both proteins through static quenching mechanism. In two studied systems hydrogen bonds and van der Waals forces were the major stabilizing forces in the drug-protein complex formation. UV-Visible and FT-IR measurements indicated that the binding of above complex to HSA and βLG may induce conformational and micro-environmental changes of two proteins. Protein-ligand docking analysis confirmed that the Pd(II) complex binds to residues located in the subdomain IIA of HSA and site A of βLG. All these experimental and computational results suggest that βLG and HSA might act as carrier protein for Pd(II) complex to deliver it to the target molecules.

Feedback Solution to Optimal Switching Problems With Switching Cost

The problem of optimal switching between nonlinear autonomous subsystems is investigated in this paper where the objective is not only bringing the states to close to the desired point, but also adjusting the switching pattern, in the sense of penalizing switching occurrences and assigning different preferences to utilization of different modes. The mode sequence is unspecified and a switching cost term is used in the cost function for penalizing each switching. It is shown that once a switching cost is incorporated, the optimal cost-to-go function depends on the subsystem which was active at the previous time step. Afterward, an approximate dynamic programming-based method is developed, which provides an approximation of the optimal solution to the problem in a feedback form and for different initial conditions. Finally, the performance of the method is analyzed through numerical examples.

The effect of celecoxib and its combination with imatinib on human HT-29 colorectal cancer cells: Involvement of COX-2, Caspase-3, VEGF and NF-κB genes expression

It has been shown that combination of imatinib (IM) with other agents may have some advantages in avoiding toxicity and resistance caused by this drug. The selective cyclooxygenase-2 inhibitor, celecoxib (CX), has been known to have antitumor and chemo-sensitizing effect in the treatment of colorectal cancer. In this study, we investigated the effectiveness of CX and its combination with anticancer agent IM on human colorectal cancer HT-29 cell and their probable molecular targets. Cultured HT-29 cells were exposed to IC50 dose of CX, IM, and their combination (half dose of IC50) for 24 hours to assess their effect on proliferation inhibition by MTT assay. The caspase-3 activity was estimated in HT-29 cells with colorimetric kit. COX-2, Caspase-3, VEGF and NF-κB genes expression was also investigated using real-time PCR method. Combined treatment with IM and CX, resulted in a significant (P˂0.05) decrease in cell viability and increased caspase-3 enzyme activity. Decreased COX-2 gene expression has been found in CX and combined treated group. Significant increase in Caspase-3 gene expression has been shown in IM and combined treated cells. In conclusion, the present in vitro study with colon cancer cell line demonstrated that CX and its combination with IM improved the anticancer activity of each component. Caspase-3 and COX-2 dependent molecular targets seem to be involved in mediating the anti-proliferative effects of IM and CX combination. Of course, the other molecular pathways are also likely to play the role and should be explored in future studies.

Design, synthesis, characterization, cytotoxicity, molecular docking and analysis of binding interactions of novel acetylacetonatopalladium(ii) alanine and valine complexes with CT-DNA and BSA

The neutral, water soluble palladium(ii) amino acid complexes, interact with CT-DNA (groove binding) and BSA (H-binding in main pocket). Molecular docking supports the interactions.

Multicentre observational study of the Gatekeeper for faecal incontinence

Background

A variety of therapeutic approaches are available for faecal incontinence. Implantation of Gatekeeper™ prostheses is a new promising option. The primary endpoint of this prospective observational multicentre study was to assess the clinical efficacy of Gatekeeper™ implantation in patients with faecal incontinence. Secondary endpoints included the assessment of patients' quality of life, and the feasibility and safety of implantation.

Methods

Patients with faecal incontinence, with either intact sphincters or internal anal sphincter lesions extending for less than 60° of the anal circumference, were selected. Intersphincteric implantation of six prostheses was performed. At baseline, and 1, 3 and 12 months after implantation, the number of faecal incontinence episodes, Cleveland Clinic Faecal Incontinence, Vaizey and American Medical Systems, Faecal Incontinence Quality of Life Scale and Short Form 36 Health Survey scores were recorded. Endoanal ultrasonography was performed at baseline and follow‐up.

Results

Fifty‐four patients were implanted. After Gatekeeper™ implantation, incontinence to gas, liquid and solid stool improved significantly, soiling was reduced, and ability to defer defaecation enhanced. All faecal incontinence severity scores were significantly reduced, and patients' quality of life improved. At 12 months, 30 patients (56 per cent) showed at least 75 per cent improvement in all faecal incontinence parameters, and seven (13 per cent) became fully continent. In three patients a single prosthesis was extruded during surgery, but was replaced immediately. After implantation, prosthesis dislodgement occurred in three patients; no replacement was required.

Conclusion

Anal implantation of the Gatekeeper™ in patients with faecal incontinence was effective and safe. Clinical benefits were sustained at 1‐year follow‐up.

Gatekeeper^TM effective

The effects of transportation stress on Japanese quail (Coturnix Coturnix japonica) fed corn-based diet in comparison with wheat-based diet supplemented with xylanase and phytase

Harvesting, handling and transporting quails to the slaughterhouses, other farms and laboratories might covertly reduce their welfare. The aim of this study was to evaluate the effects of two major sources of energy in poultry nutrition on reducing transportation stress in Japanese quail (Coturnix Coturnix japonica). Male quails (n = 60) were divided into two groups. The first group was fed corn-based diet, and the second was fed wheat-based diet supplemented with xylanase and phytase. At the end of the experiment (day 35), quails were subjected to 80 km of transportation. Immediately on arrival and after 24 h, heterophil counts, lymphocyte counts and H:L ratios were measured. On arrival, H counts were lower, L counts were higher, and H:L ratios were lower for corn-fed group. After 24 h, wheat-fed group showed lower increment of H counts, greater increment of L counts and also decrement of H:L ratios rather than corn-fed group which showed increment of H:L ratios. However, these ratios were still lower in corn-fed group. Results indicate that corn-based diets can help Japanese quail to better resist transportation stress, although it seems that feeding wheat-based diets supplemented with xylanase and phytase could have positive effects for coping better with stress after journeys.

Effect of apically separated rotary instruments on bacterial leakage of obturated root canals using resilon

The purpose of this study was to determine the effect of a separated rotary instrument on the time required for bacterial penetration of obturated root canals using Resilon. Eighty-four extracted human maxillary premolars with single canals were used in this study. Group 1 consisted of teeth obturated with gutta-percha and AH-26 sealer (n=15); Group 2 consisted of teeth obturated similarly to Group 1 but without a separated file; Group 3 consisted of teeth obturated with Resilon and Epiphany sealer (n=15); and Group 4 consisted of teeth obturated similarly to Group 3 but without a separated file. Six teeth were used as positive controls, and six teeth were used as negative controls for each experimental group. Negative controls were obturated similarly to experimental teeth. On the other hand, positive controls were obturated with gutta-percha or Resilon without sealer. A suspension of Enterococcus faecalis was placed in the access chamber daily, and penetration was determined when turbidity was noted in the culture broth during a three-month period. No significant difference between experimental groups was observed. However, differences between experimental groups and control groups were statistically significant.

Revisiting approximate dynamic programming and its convergence

Value iteration-based approximate/adaptive dynamic programming (ADP) as an approximate solution to infinite-horizon optimal control problems with deterministic dynamics and continuous state and action spaces is investigated. The learning iterations are decomposed into an outer loop and an inner loop. A relatively simple proof for the convergence of the outer-loop iterations to the optimal solution is provided using a novel idea with some new features. It presents an analogy between the value function during the iterations and the value function of a fixed-final-time optimal control problem. The inner loop is utilized to avoid the need for solving a set of nonlinear equations or a nonlinear optimization problem numerically, at each iteration of ADP for the policy update. Sufficient conditions for the uniqueness of the solution to the policy update equation and for the convergence of the inner-loop iterations to the solution are obtained. Afterwards, the results are formed as a learning algorithm for training a neurocontroller or creating a look-up table to be used for optimal control of nonlinear systems with different initial conditions. Finally, some of the features of the investigated method are numerically analyzed.