Miracle-dz/UniFAR-FTUs huggingface dataset:
Global Advancement in Pharmacy Services for Mental Health: A Review for Evidence-Based Practices

The symptoms of psychiatric infirmities have variability, and selected drug regimens for mental illness are comparatively complex and individualized; therefore, pharmacy services vary with respect to patients, diseases, healthcare settings, community structures, and countries. Clinical pharmacy services for mental health (MH) are continuously being upgraded. A structured search of the literature was performed in the Cochrane, PubMed (Medline), PsycINFO, Google scholar, Scopus, Science Direct, and Springer Links databases. The title and abstract of each retrieved article were evaluated for relevance. To remove uncertainty and ambiguity, the full-text articles were retrieved and examined for relevance. The articles were further assessed on the basis of inclusion and exclusion criteria. Narrative synthesis was performed, creating new categories and relevant subcategories and further subsections. The articles and the results were assessed for quality and bias. Pharmacists have a range of expertise in psychiatric care. The services can be classified as conventional, extended, and advanced pharmacy services. Conventional services include the quality use of medicines in healthcare settings and medication support services in communities that ensure medication adherence. Pharmacists perform extended roles in collaborative medication therapy management, multidisciplinary community mental health teams, collaborative care, patient education, home medication review, hospital-to-home transit, and screening services. In the USA, the role of pharmacists was advanced by prescribing as collaborative and interim prescribers. Australia launched an accredited program for psychiatric first-aid pharmacists. Pharmacists can provide mental care to rural populations using health technology. The role of pharmacists in MH is appreciated either independently or as a team member. Patients and healthcare providers rank the services of pharmacists in MH highly. Still, there is a margin for improvement in the training of pharmacists. Pharmacists cannot provide sufficient time to their patients. Public awareness about the role of pharmacists in MH needs more attention. Moreover, the training of psychiatric pharmacists should be standardized around the world.
Collaborative Cloud-Edge-End Task Offloading in MEC-Based Small Cell Networks With Distributed Wireless Backhaul

Collaborative cloud-edge-end computing is a promising solution to support computation-intensive and latency-sensitive tasks by utilizing rich computing resources of cloud datacenters and low access delay of mobile edge computing (MEC) servers. Compared with traditional cloud computing and MEC, the cloud-edge environment has a stronger heterogeneity of servers and networks, resulting in significant differences between servers in the computation speed and access delay. However, few studies on cloud-edge-end task offloading focused on the characteristic of 5G heterogeneous networks in the cloud-edge environment. In this paper, we study the task offloading problem for collaborative cloud-edge-end computing in MEC-enabled small cell networks with low-cost distributed wireless backhaul. We aim to minimize the energy consumption of all user devices (UDs) via jointly optimizing the offloading decision, UDs’ transmission power, and the allocation of spectrum and computation resources. To solve the non-convex problem, we decouple the original problem into three subproblems, and design an efficient method with solving these three subproblems iteratively to obtain a high-quality solution. The simulation results indicate that our proposed method can lead to significant reduction in the energy consumption of all UDs compared with other conventional methods.
Response of the Blasius Boundary Layer to Controlled Free-Stream Vortices of Axial Form

The direct validation of our theoretical model for the receptivity of a boundary layer to free-stream turbulence has been hindered in the past by the difficult task of characterizing and measuring the turbulence field in the experiment. Herein, we use a micro-wing to generate a single axial vortex of controlled strength and position, and we measure the boundary layer response to the forcing produced by the vortex. The response is dominated by a streamwise velocity perturbation that grows essentially linearly in the downstream direction and varies in strength in the spanwise direction in an antisymmetric fashion with respect to the spanwise location of the vortex axis. Comparisons of the measurements with computed values have shown a good agreement, and provide a quantitative assessment of the accuracy of our model.
Enhanced Performance of Aramid/Epoxy Composites by Silane Coupling Treatment of Fillers

Epoxy (EP) resin is widely used in the field of electrical insulation. Different fillers can affect the performance of EP resin in different aspects. In this work, dopamine and silane coupling agents were adopted to treat aramid fiber powder (AP). The untreated AP and treated AP (KH560-dopamine (KD)-AP) were formed into a composite with EP resin. The trap distribution, breakdown strength, volume conductivity, and elastic modulus of aramid fiber/EP composites were fully investigated. AP doping leads to serious interface defects. The breakdown strength of KD-AP-EP increased by 39% compared with that of AP-EP. Surface potential decay (ISPD) was adopted to measure the carrier trap characteristics, and the addition of KD-AP leads to an increase in deep traps within the composites, which helps to reduce the number of migrating charges, resulting in a lower interface charge attenuation rate and volume conductivity. KD-AP-EP can also obtain higher elastic modulus with lower dosage.
History of Lambda-calculus and Combinatory Logic

8 Types 23 8.1 The general development of type theories . 23 8.1. 1 Types as grammatical categories . 24 8.1. 2 Types as sets . 25 8.1. 3 Types as objects . 26 8.1. 4 Types as propositions . 30 8.2 Early normalization proofs . 35 8.3 Higher-order type theories . 37
Studies on the Accumulation of Secondary Metabolites and Evaluation of Biological Activity of In Vitro Cultures of Ruta montana L. in Temporary Immersion Bioreactors

The present work focuses on in vitro cultures of Ruta montana L. in temporary immersion PlantformTM bioreactors. The main aim of the study was to evaluate the effects of cultivation time (5 and 6 weeks) and different concentrations (0.1–1.0 mg/L) of plant growth and development regulators (NAA and BAP) on the increase in biomass and the accumulation of secondary metabolites. Consequently, the antioxidant, antibacterial, and antibiofilm potentials of methanol extracts obtained from the in vitro-cultured biomass of R. montana were evaluated. High-performance liquid chromatography analysis was performed to characterize furanocoumarins, furoquinoline alkaloids, phenolic acids, and catechins. The major secondary metabolites in R. montana cultures were coumarins (maximum total content of 1824.3 mg/100 g DM), and the dominant compounds among them were xanthotoxin and bergapten. The maximum content of alkaloids was 561.7 mg/100 g DM. Concerning the antioxidant activity, the extract obtained from the biomass grown on the 0.1/0.1 LS medium variant, with an IC50 0.90 ± 0.03 mg/mL, showed the best chelating ability among the extracts, while the 0.1/0.1 and 0.5/1.0 LS media variants showed the best antibacterial (MIC range 125–500 µg/mL) and antibiofilm activity against resistant Staphylococcus aureus strains.
Use of admissions data to predict student success in postsecondary freshman science

The purpose of this study was to determine if significant relationships exist for any of the variables, age, gender, previous GPA, test scores (ACT, Compass), number of accumulated credits, and student success in Biology. This study strived to determine what academic/admissions data can be used to determine the likelihood of student success in Biology. A quantitative correlational study using stepwise multiple regression analysis was used for this study. The study was a retrospective study. Data was composed of a convenience archival sample from the institutional database. Multiple regression analysis was conducted to determine the effect each independent variable has on the dependent variable of student success. For the data set ACT, the variables math score, prealg score, writing score, reading score, and previous GPA were all significant. For data set CMP the variable of student’s age was not significant, but the other variables were significant. For the Blanks data set, the only variable of significance was gender. Using stepwise multiple regression analysis the data sets produced regression models showing predictability based on stepwise significance. For Blanks data set, the variables previous hours earned, gender, age, and previous GPA were used. For the ACT data set, math score and reading score were used. For the CMP data set the variables included math score, writing score, previous GPA, gender, reading score, and previous hours earned. The level of predictability of the regression equation for the ACT data set and Blank data set was low. However, the predictability for the CMP data set was moderate. The highest percent of variance explained by the regression models was 11.6% of the CMP data set.
Semi-supervised Discriminant Analysis Based on Maximum Scatter Difference ⋆

For the problems of use of a few marked samples and small sample size problem in face recognition, a new algorithm of semi-supervised discriminant analysis based on maximum scatter difference is proposed. Based on MFA algorithm, the algorithm was improved semi-supervised by adding UDP local and non local scatter matrix to the target function. This could make use of the not marked samples that supervised algorithm wasted and the classification label information which unsupervised algorithm does not use. At the same time this solves to the problem that can not direct matrix inversion for scatter matrix singular by introducing the maximum scatter difference. Finally, the effectiveness of the proposed methods is validated through the experimental results on ORL and YALE face databases.
Factoring Muscle Activation and Anisotropy in Modelling Hand-Transmitted Vibrations: A Preliminary Study

: Pushing and gripping forces may contribute to Hand-Arm Vibration Syndrome but, thus far, have not been taken into account in vibratory dose assessment according to the current standards. To obtain a better understanding of the symptom onset, we developed a ﬁnite element model of the hand to replicate its vibratory behaviour in gripping and pushing actions. In a case study, Supersonic Shear Imaging measurements revealed the signiﬁcant dependence of muscle stiffness and anisotropy on gripping. The use of these measurements in our model showed that muscle activation inﬂuences the driving-point mechanical impedance of the hand and local vibration propagation.
Inertia effects in textured hydrodynamic contacts

Abstract A flow analysis is carried out for a parallel textured slider to investigate the role of fluid inertia. Numerical simulations are performed for a laminar, two-dimensional, steady and isothermal flow. Stokes solutions are compared with Navier—Stokes solutions at the same Reynolds number. A range of texture depths is analysed. It is shown that there is an optimum value of texture depth that provides maximum load-carrying capacity. It is also shown that there is a critical depth value. Inertia has a negative effect on the load-carrying capacity for depths higher than the critical value, whereas it has a positive effect for lower depths. For a given texture depth, these effects are amplified as the Reynolds number increases. The global effect of inertia is positive when a realistic configuration of a parallel textured slider with a fore-region is considered.
Design of Logistics Intelligent Warehouse Management System Based on Radio Frequency Identification Technology for 5G

At present, the operation energy consumption of intelligent logistics warehouse management system based on B/S is too large, and the operation efficiency is low. In order to improve this situation, a design method of intelligent logistics warehouse management system based on radio frequency identification technology is proposed to optimize the hardware structure of the system. Based on the overall structure of the system, the network topology of the warehouse management system is divided into physical level, network level, data level, and application level. Further optimize the function and operation of the system software based on RFID technology, transfer the goods to the warehouse by logistics, count the goods, determine the goods location in the warehouse management system in the outbound management procedure, and collect the internal data of outbound goods through the RFID reader. Use the handling tools to transfer the picked goods to the warehouse out. The user management module mainly controls user login and user management. The statistical management of inventory is to clear and count the goods, which can provide a basis for the research in the field of intelligent logistics warehousing.
Large-Scale Aspects of Deep Convective Activity over the GATE Area

Abstract Using digital IR data obtained by SMS I satellite, the large-scale behavior of convective activity was investigated over the tropical Atlantic within the GATE area. Spectral analysis has revealed the existence of two remarkable periodicities which show good association with the large-scale atmospheric field, namely, a 4-5 day mode and a diurnal mode. The area of the enhanced convection associated with the 4-5 day mode moves westward from Africa through the tropical Atlantic. Its mean phase speed turned out to be about 7° day-1 and the mean wavelength about 30° in longitude. The vertical structure of the corresponding disturbance, was investigated by the time-composite technique applied to upper air data over the GATE A/B area. The result shows that the enhancement of convection is associated with deep upward motion throughout the troposphere and southerly (northerly) winds in the lower (upper) troposphere. It also shows that the enhancement is accompanied by moistening in the cloud layer, while d.
Efficient Single-Pixel Batch Measurement Method for Optical Properties of Micro-Sized LED Array

The evaluation of single-pixel mini-/micro-light-emitting diode (LED) optical properties among an array or module faces difficulties in total acquisition of weak signal at small driven current and avoiding optical crosstalk from the adjacent chips simultaneously. In this work, we propose an efficient single-pixel batch measurement method, which combines microscopic hyperspectral imaging (<inline-formula> <tex-math notation="LaTeX">$\mu $ </tex-math></inline-formula>-HSI) and a silicon-based micro-integrating sphere array (<inline-formula> <tex-math notation="LaTeX">$\mu $ </tex-math></inline-formula>-ISA). Truncated-inverted-pyramid microcavities coated with gold reflective layer are designed and fabricated in the <inline-formula> <tex-math notation="LaTeX">$\mu $ </tex-math></inline-formula>- ISA, which can effectively collect the total optical power of micro-sized LEDs and avoid optical crosstalk from the adjacent chips simultaneously. A 1-in integrating sphere and halogen lamp coupled by optical fiber are used as calibration light source. A two-step procedure is proposed to calibrate the absolute optical power distribution of the <inline-formula> <tex-math notation="LaTeX">$\mu $ </tex-math></inline-formula>- HSI measurement method. Comparative studies on optical properties, including photometry and colorimetry, are carried out to demonstrate the advantages of the proposed method in accuracy, capabilities of avoiding optical crosstalk, and batch detection of micro-sized LED (Micro-/Mini-LED) array.
Ultra-wide-band-based adaptive Monte Carlo localization for kidnap recovery of mobile robot

In the article, a global localization algorithm based on improved ultra-wide-band-based adaptive Monte Carlo localization is proposed for quick and robust kidnap recovery of mobile robot. First, two ultra-wide-band modules, the tag installed inside the mobile robot and the anchor installed inside charging station, are used to obtain the relative distance between the mobile robot and the charging station. Second, the global grid map is converted into a map with obstacle noise given the ranging accuracy of the ultra-wide-band modules with different obstacles. Third, while the robot is kidnapped, matching grids are screened based on the range information of ultra-wide-band modules and the obstacle noise of the grids. Finally, global localization algorithm is performed based on ultra-wide-band-based adaptive Monte Carlo localization to convert randomly generated particles from the whole map into randomly generated particles in the local map. Experimental results based on gazebo simulation and a real scenario showed that our global localization algorithm based on improved ultra-wide-band-based adaptive Monte Carlo localization not only significantly helped to improve the chances of the robot global pose recovery from lost or kidnapped state but also enabled the robot kidnap recovery with a smaller number of randomly generated particles, thus reducing the time to recover its accurate global localization. The algorithm was also more effective especially for kidnap recovery in a similar and large scenario.
Load Oscillating Attacks of Smart Grids: Vulnerability Analysis

We investigate the vulnerability of a power transmission grid to load oscillation attacks. We demonstrate that an adversary with a capability to oscillate a small fraction of load and monitor some tie line flows can launch a successful load oscillation attack to destabilize the grid. The adversary is assumed to be able to compromise smart meters at a subset of load buses and control their switches. In the reconnaissance stage of the proposed attack, the adversary estimates the line flow sensitivity factors (LFSFs) associated with the monitored tie lines by perturbing a small amount of load at compromised buses and observing how the monitored line flow changes. The learned LFSF values are used to select a target line and optimize the oscillation attack magnitudes at the compromised load buses to cause the target line to trip. In the execution stage, the oscillation attack frequency is adjusted in real time, based on the monitored target line flow measurements, in order to maximize the attack impact under the system condition at the attack time. We experimentally demonstrate that the proposed attack strategy can result in a much more severe consequence than benchmark oscillation attacks, using the COSMIC time-domain simulator with two test cases, the IEEE RTS-96 and Polish 2383-Bus Systems. The proposed attack strategy succeeded in causing a full blackout by oscillating only 8% of the load in the IEEE RTS-96 test system, and 1.7% of the load in the Polish test system.
Lost periodicity in N-continued fraction expansions

In chapter 1 we will give a brief intorduction to continued fractions, and scetch the prove of why quadratic irrationals always have an eventully periodic regular continued fraction expansion. In chapter 2 we introduce the N-continued fraction expansion and end with stating the goal of my thesis. Finally chapter 3 gives some examples of how to construct the 2-continued fraction from the regular continued fraction. Here Raney's transducers are introduced, playing a key role in the reason why periodicity is probably lost in some cases. This is backed up by the statistical properties derived from computer computations, which are compared with properties yielded by the underlying ergodic system for the 2-expansion.
Hesperetin and Capecitabine Abate 1,2 Dimethylhydrazine-Induced Colon Carcinogenesis in Wistar Rats via Suppressing Oxidative Stress and Enhancing Antioxidant, Anti-Inflammatory and Apoptotic Actions

Colon cancer is a major cause of cancer-related death, with significantly increasing rates of incidence worldwide. The current study was designed to evaluate the anti-carcinogenic effects of hesperetin (HES) alone and in combination with capecitabine (CAP) on 1,2 dimethylhydrazine (DMH)-induced colon carcinogenesis in Wistar rats. The rats were given DMH at 20 mg/kg body weight (b.w.)/week for 12 weeks and were orally treated with HES (25 mg/kg b.w.) and/or CAP (200 mg/kg b.w.) every other day for 8 weeks. The DMH-administered rats exhibited colon-mucosal hyperplastic polyps, the formation of new glandular units and cancerous epithelial cells. These histological changes were associated with the significant upregulation of colon Ki67 expression and the elevation of the tumor marker, carcinoembryonic antigen (CEA), in the sera. The treatment of the DMH-administered rats with HES and/or CAP prevented these histological cancerous changes concomitantly with the decrease in colon-Ki67 expression and serum-CEA levels. The results also indicated that the treatments with HES and/or CAP showed a significant reduction in the serum levels of lipid peroxides, an elevation in the serum levels of reduced glutathione, and the enhancement of the activities of colon-tissue superoxide dismutase, glutathione reductase and glutathione-S-transferase. Additionally, the results showed an increase in the mRNA expressions of the anti-inflammatory cytokine, IL-4, as well as the proapoptotic protein, p53, in the colon tissues of the DMH-administered rats treated with HES and/or CAP. The TGF-β1 decreased significantly in the DMH-administered rats and this effect was counteracted by the treatments with HES and/or CAP. Based on these findings, it can be suggested that both HES and CAP, singly or in combination, have the potential to exert chemopreventive effects against DMH-induced colon carcinogenesis via the suppression of oxidative stress, the stimulation of the antioxidant defense system, the attenuation of inflammatory effects, the reduction in cell proliferation and the enhancement of apoptosis.
ACA-based Fuzzy Controller Design for Robot Soccer

This paper presents the use of an ant colony algorithm combined with a fuzzy logic controller (ACA-FLC) to optimize the movement of a soccer robot. Through ACA-FLC processes, the optimal angle and velocity of a moving robot in the work space were determined. At later stages of the study, more effective movement was obtained from ACA-FLC processes. The experimental scenarios involved a simulated 5-vs-5 soccer game and a MATLAB simulation, in which the proposed system dynamically directed the robot to the target position. The simulation results show that the ACA-FLC was able to choose a better position under any conditions it encountered. The ACA-based method is proposed to determine appropriate membership functions automatically for the fuzzy system so that the controlled robot can effectively move to any desired position in a 2-D space. Following the steps outlined above, the proposed ACA-FLC helped the robot reach the target quickly and effectively.
Efficient materials for spin-to-orbit angular momentum conversion using bending technique

We analyze the efficiency of different materials used for spin-to-orbit angular momentum conversion by applying bending to parallelepiped-shaped bars made of crystals or glasses. It is found that generation of pure screw dislocations of the light wave front with the bending technique is possible only in isotropic materials and crystals belonging to hexagonal and trigonal symmetries, with exception of crystals of the point symmetry groups 3, 3 , 6, 6 and 6/m. We demonstrate that lexan is the most efficient material for generating optical vortex beams that bear orbital angular momentum, using the bending technique. This material reveals the highest figure of merit, 12 2 155.1 10 m /N   M = .