Miracle-dz/UniFAR-FTUs huggingface dataset:
Smart grid load balancing methods to make an efficient heterogeneous network by using the communication cost function

Different node types in smart grid (SG) system have different communication necessities. Different type of information such as power grid status and demand requests and responses are established between control station (CS) and different SG node types. Assigning the certain percentage of the nodes traffic to the radio access technologies (RATs) with respect to their cost functions (CFs) value can help to achieve this goal by defining the highest fitness degree between SG node type communication requirements and RATs communication characteristics to have an efficient load balance. In this study, the key performance indicators (KPIs) for CFs are the SG node communication requirements which are defined as data rate, delay, reliability, and security. The value of the work can be seen in node assigning method based on the CFs as a function of different RAT communication characteristics and node type communication requirements. The highest fitness degree between node communication needs and RAT characteristics are achieved in an efficient way which causes to make an efficient heterogeneous network. The work impact of using a certain RAT which has the best efficiency in sense of communication aspects by using a well-defined CF is the innovation of this study as well.
Prior Negative Mood Buffers Some Individuals from Subsequent Negative Events: The Moderating Role of Neuroticism

The effects of mood on cognition are well-documented. However, would mood influence subsequent emotional reactions? The present research shows that prior moods interact with neuroticism to influence subsequent emotional experiences. Low-neuroticism individuals who initially felt negative subsequently experienced less negative emotions toward a slightly unpleasant task, relative to those who initially felt positive. Conversely, there were no mood effects on high-neuroticism individuals. This demonstrates that surprisingly, a prior negative, rather than positive, mood buffers low- but not high-neuroticism individuals from the effect of a subsequent unpleasant event on negative emotions. The possible mechanism underlying this effect—negative mood repair—is also discussed.
Signal manipulation through horn antennas loaded with metamaterial-inspired particles: A review

This review paper summarizes our latest results on designing metamaterial-inspired particles that can be inserted inside horn antennas to provide signal manipulation capabilities to the overall system. Metamaterial-inspired band-pass filtering modules, based on the use of either bi-omega particles or complementary electrically small resonators, are firstly presented. The bi-omega particle enables the antenna to perform filtering operations on the received signal to radiate/receive only the narrowband signal of interest, improving, thus, the signal-to-noise ratio. The second module, besides filtering the unwanted signals out, allows converting the linearly polarized mode of the feeding waveguide into a circular polarized field in the horn, and vice-versa. Moreover, some band-stop filters, based on the employment of single or coupled metamaterial-inspired resonators, are presented. All these components are of extremely compact size and, therefore, can be easily realized with standard PCB technology and added to standard horn antennas to increase their functionalities.
Hydroxypropyl-β-cyclodextrin for Delivery of Baicalin via Inclusion Complexation by Supercritical Fluid Encapsulation

Over the years, various methods have been developed to enhance the solubility of insoluble drugs; however, most of these methods are time-consuming and labor intensive or involve the use of toxic materials. A method that can safely and effectively enhance the solubility of insoluble drugs is lacking. This study adopted baicalin as an insoluble drug model, and used hydroxypropyl-β-cyclodextrin for the delivery of baicalin via the inclusion complexation by supercritical fluid encapsulation. Different parameters for the complex preparation as well as the physicochemical properties of the complex have been investigated. Our results showed that when compared to the conventional solution mixing approach, supercritical fluid encapsulation enables a more precise control of the properties of the complex, and gives higher loading and encapsulation efficiency. It is anticipated that our reported method can be useful in enhancing the preparation efficiency of inclusion complexes, and can expand the application potential of insoluble herbal ingredients in treatment development and pharmaceutical formulation.
Effects of DanceSport on walking balance and standing balance among the elderly

BACKGROUND: Dancesport is a popular activity among older adults who look for fun and fitness in Korea. Studies reported positive sociological and psychological effects of dancesport. But, little studies were performed to evaluate the effects of dancesport on balance performances. OBJECTIVE: The objective of the present study was to evaluate the effects of dancesport for 15 weeks on walking balance and standing balance of older adults. METHODS: Older adults regularly participated in the dancesport program 3 times a week for 15 weeks. The program included Rumba, Cha-cha-cha, and Jive. They exercised the prescribed dancesport at intermediate level for 50–60 mins for each time. A total 22 reflective markers were placed on the anatomical landmarks and 8 cameras were used to measure 3-D positions of participants. Also, center of pressure (COP) data were measured to analyze standing balance using a ground reaction board at 1200 Hz for 30 seconds. One-way analysis of variance (ANOVA) was performed to test the effects of 15 weeks of dancesport on walking balance and standing balance. RESULTS: The results suggested that, after 15 weeks of dancesport participation, older adults’ walking balance (48.3 ± 20.3 cm2 vs 38.2 ± 18.2 cm2) and standing balance (COP area: 189.4 ± 85.4 mm2 vs 103.5 ± 55.4mm2, COP distance: 84.2 ± 34.4 cm vs 76.5 ± 21.4 cm) were significantly improved. CONCLUSION: Performing dancesport would require moving center of mass rapidly and frequently while maintaining posture. This may result in improving walking balance and standing balance in the present study. The study concluded that dancesport would be an effective exercise method in enhancing postural stability of older adults.
Laser parameters for efficient biomedical stimulation: A study to increase cognitive response rate

BACKGROUND: The laser is able to irradiate the exact amount of stimulation to an area by a non contact method, and has the advantage of being able to stimulate the local target area. OBJECTIVE: This study examined an efficient method of laser tactile stimulation using laser parameter combinations. METHODS: The laser parameters that could cause an increase in the cognitive response rate of human subjects were examined without increasing the amount of total laser energy. RESULTS: As a result, the appropriate matching parameters such as duty ratio, pulse frequency, and exposure time of laser pulses showed a dominant influence in effectively increasing the tactile response rate of subjects with limited amount of total laser energy. CONCLUSIONS: This study can be applied to neurophysiology, cognitive research, and clinical laser application.
MANTRA: an ultra lightweight cipher design for ubiquitous computing

In this paper, we are proposing an ultra lightweight cipher MANTRA. MANTRA is a Feistel-based network which operates on 64-bit plain text and supports 128/80-bit key length. It needs very less footprint area and consumes only 1662 gate equivalents for the 128-bit key length and 1374 for 80-bit key length. The novel design of MANTRA uses a Feistel within a Feistel structure. Its memory size is less as compared to existing lightweight ciphers. In this paper, we have presented the security analysis of MANTRA and its performance as an ultra lightweight cipher. A strong permutation layer in MANTRA prevents clustering of linear and differential trails when the cipher is attacked. MANTRA shows good resistance against Biclique and zero correlation attacks. MANTRA is a cipher design well suited for the applications where small footprint area and low power dissipation play crucial role.
GLUCOSAMINE INOSITOLPHOSPHORYLCERAMIDE TRANSFERASE1 (GINT1) Is a GlcNAc-Containing Glycosylinositol Phosphorylceramide Glycosyltransferase1[OPEN]

GINT1 is shown to be an indispensable glycosyltransferase that facilitates the glycosylation of GlcNAccontaining glycosylinositol phosphorylceramides in rice, with a minor role in Arabidopsis. Glycosylinositol phosphorylceramides (GIPCs), which have a ceramide core linked to a glycan headgroup of varying structures, are the major sphingolipids in the plant plasma membrane. Recently, we identified the major biosynthetic genes for GIPC glycosylation in Arabidopsis (Arabidopsis thaliana) and demonstrated that the glycan headgroup is essential for plant viability. However, the function of GIPCs and the significance of their structural variation are poorly understood. Here, we characterized the Arabidopsis glycosyltransferase GLUCOSAMINE INOSITOLPHOSPHORYLCERAMIDE TRANSFERASE1 (GINT1) and showed that it is responsible for the glycosylation of a subgroup of GIPCs found in seeds and pollen that contain GlcNAc and GlcN [collectively GlcN(Ac)]. In Arabidopsis gint1 plants, loss of the GlcN(Ac) GIPCs did not affect vegetative growth, although seed germination was less sensitive to abiotic stress than in wild-type plants. However, in rice, where GlcN(Ac) containing GIPCs are the major GIPC subgroup in vegetative tissue, loss of GINT1 was seedling lethal. Furthermore, we could produce, de novo, “rice-like” GlcN(Ac) GIPCs in Arabidopsis leaves, which allowed us to test the function of different sugars in the GIPC headgroup. This study describes a monocot GIPC biosynthetic enzyme and shows that its Arabidopsis homolog has the same biochemical function. We also identify a possible role for GIPCs in maintaining cell-cell adhesion.
Plasmodium falciparum MSP3 Exists in a Complex on the Merozoite Surface and Generates Antibody Response during Natural Infection

Plasmodium falciparum merozoite surface protein 3 (MSP3) is an abundantly expressed secreted merozoite surface protein and a leading malaria vaccine candidate antigen. However, it is unclear how MSP3 is retained on the surface of merozoites without a glycosylphosphatidylinositol (GPI) anchor or a transmembrane domain. ABSTRACT Plasmodium falciparum merozoite surface protein 3 (MSP3) is an abundantly expressed secreted merozoite surface protein and a leading malaria vaccine candidate antigen. However, it is unclear how MSP3 is retained on the surface of merozoites without a glycosylphosphatidylinositol (GPI) anchor or a transmembrane domain. In the present study, we identified an MSP3-associated network on the Plasmodium merozoite surface by immunoprecipitation of Plasmodium merozoite lysate using antibody to the N terminus of MSP3 (anti-MSP3N) followed by mass spectrometry analysis. The results suggested the association of MSP3 with other merozoite surface proteins: MSP1, MSP6, MSP7, RAP2, and SERA5. Protein-protein interaction studies by enzyme-linked immunosorbent assay (ELISA) and surface plasmon resonance (SPR) analysis showed that MSP3 complex consists of MSP1, MSP6, and MSP7 proteins. Immunological characterization of MSP3 revealed that MSP3N is strongly recognized by hyperimmune serum from African and Asian populations. Furthermore, we demonstrate that human antibodies, affinity purified against recombinant MSP3N (rMSP3N), promote opsonic phagocytosis of merozoites in cooperation with monocytes. At nonphysiological concentrations, anti-MSP3N antibodies inhibited the growth of P. falciparum in vitro. Together, the data suggest that MSP3 and especially its N-terminal region containing known B/T cell epitopes are targets of naturally acquired immunity against malaria and also comprise an important candidate for a multisubunit malaria vaccine.
Multi-Peak Estimation for Real-Time 3D Ping-Pong Ball Tracking with Double-Queue Based GPU Acceleration

SUMMARY 3D ball tracking is of great signiﬁcance in ping-pong game analysis, which can be utilized to applications such as TV contents and tactic analysis, with some of them requiring real-time implementation. This paper proposes a CPU-GPU platform based Particle Filter for multi-view ball tracking including 4 proposals. The multi-peak estimation and the ball-like observation model are proposed in the algorithm design. The multi-peak estimation aims at obtaining a precise ball position in case the particles’ likelihood distribution has multiple peaks under complex circumstances. The ball-like observation model with 4 di ﬀ erent likelihood evalu- ation, utilizes the ball’s unique features to evaluate the particle’s similarity with the target. In the GPU implementation, the double-queue structure and the vectorized data combination are proposed. The double-queue structure aims at achieving task parallelism between some data-independent tasks. The vectorized data combination reduces the time cost in memory access by combining 3 di ﬀ erent image data to 1 vector data. Experiments are based on ping-pong videos recorded in an o ﬃ cial match taken by 4 cameras located in 4 corners of the court. The tracking success rate reaches 99.59% on CPU. With the GPU acceleration, the time consumption is 8.8 ms / frame, which is sped up by a factor of 98 compared with its CPU ver- sion.
Borderline personality disorder: Implications and best practice recommendations

Patients with borderline personality disorder (BPD) can be dramatic and highly passionate, and their life situations often appear chaotic and distressing. Caring for patients with BPD often causes healthcare providers (HCPs) to consider a patient to be “hard to work with” or “diffi cult to treat. ” Each patient visit may present as a crisis or emergency, regardless of the reason for seeking care. Interactions can leave even the most experienced HCPs feeling mentally exhausted or overwhelmed. This brief overview addresses assessment, comorbidities, pharmacologic and nonpharmacologic management, and evidence-based recommendations to effectively care for patients with BPD.
Recent advances for identification of new scaffolds and drug targets for Mycobacterium tuberculosis

Tuberculosis (TB) is a leading cause of mortality and morbidity with an estimated 1.7 billion people latently infected with the pathogen worldwide. Clinically, TB infection presents itself as an asymptomatic infection, which gradually manifests to life threatening disease. The emergence of various drug resistant strains of Mycobacterium tuberculosis and lengthy duration of chemotherapy are major challenges in the field of TB drug development. Hence, there is an urgent need to develop scaffolds that possess a novel mechanism of action, can shorten the duration of therapy, and are active against both drug resistant and susceptible strains. In this review, we will discuss recent progress made in the field of TB drug development with emphasis on screening methods and drug targets from M. tuberculosis. The current review provides insights into mechanism of action of new scaffolds that are being evaluated in various stages of clinical trials. © 2018 IUBMB Life, 70(9):905–916, 2018
Anti-Dementia Drugs for Psychopathology and Cognitive Impairment in Schizophrenia: A Systematic Review and Meta-Analysis

Abstract Background We conducted a systematic review and meta-analysis of double-blind, randomized, placebo-controlled trials of anti-dementia drugs plus antipsychotics for schizophrenia. Methods Primary outcomes of efficacy and safety included improving overall symptoms (Positive and Negative Syndrome Scale and Brief Psychiatric Rating Scale scores) and all-cause discontinuation, respectively. Other outcomes included psychopathology subscales (positive, negative, general, and anxiety/depressive symptoms), cognitive function (attention/vigilance, reasoning/problem solving, social cognition, speed of processing, verbal learning, visual learning, working memory, and cognitive control/executive function), Mini-Mental State Examination scores, treatment discontinuation due to adverse events and inefficacy, and individual adverse events. We evaluated the effect size using a random effects model. Results We identified 37 studies (n=1574): 14 donepezil-based (n=568), 10 galantamine-based (n=371), 4 rivastigmine-based (n=146), and 9 memantine-based (n=489) studies. Pooled anti-dementia drugs plus antipsychotics treatments were superior to placebo plus antipsychotics in improving the overall symptoms (24 studies, 1069 patients: standardized mean difference=−0.34, 95% CI=−0.61 to −0.08, P=.01), negative symptoms (24 studies, 1077 patients: standardized mean difference =−0.62, 95% CI=−0.92 to −0.32, Pcorrected=.00018), and Mini-Mental State Examination scores (7 studies, 225 patients: standardized mean difference=−0.79, 95% CI=−1.23 to −0.34, P=.0006). No significant differences were found between anti-dementia drugs plus antipsychotics and placebo plus antipsychotics regarding other outcomes. Conclusions Although the results suggest that anti-dementia drugs plus antipsychotics treatment improves negative symptoms and Mini-Mental State Examination scores in schizophrenia patients, they possibly were influenced by a small-study effect and some bias. However, it was not superior to placebo plus antipsychotics in improving composite cognitive test score, which more systematically evaluates cognitive impairment than the Mini-Mental State Examination score. Overall, the anti-dementia drugs plus antipsychotics treatment was well tolerated.
Application of Hartree-Fock Method for Modeling of Bioactive Molecules Using SAR and QSPR

The central importance of quantum chemistry is to obtain solutions of the Schrodinger equation for the accurate determination of the properties of atomic and molecular systems that occurred from the calculation of wave functions accurate for many diatomic and polyatomic molecules, us- ing Self Consistent Field method (SCF). The application of quantum chemical methods in the study and planning of bioactive compounds has become a common practice nowadays. From the point of view of planning it is important to note, when it comes to the use of molecular modeling, a collec- tive term that refers to methods and theoretical modeling and computational techniques to mimic the behavior of molecules, not intend to reach a bioactive molecule simply through the use of computer programs. The choice of method for energy minimization depends on factors related to the size of the molecule, parameters of availability, stored data and computational resources. Mo- lecular models generated by the computer are the result of mathematical equations that estimate the positions and properties of the electrons and nuclei, the calculations exploit experimentally, the characteristics of a structure, providing a new perspective on the molecule. In this work we show that studies of Highest Occupied Molecular Orbital Energy (HOMO), Low Unoccupied Mole- cular Orbital Energy (LUMO) and Map of molecular electrostatic potential (MEP) using Hatree- Fock method with different basis sets (HF/3-21G*, HF/3-21G**, HF/6-31G, HF/6-31G*, HF/ * Corresponding author.
The Application of Geostatistical Methods to Prepare the 3D Petrophysical Model of Oil Reservoir

In this study, the petrophysical parameters such as density, sonic, neutron, and porosity were investigated and presented in the 3D models. The 3D models were built using geostatistical method that is used to estimate studied parameters in the entire reservoir. For this purpose, the variogram of each parameter was determined to specify spatial correlation of data. Resulted variograms were non-monotonic. That shows anisotropy of structure. The lithology and porosity parameters are the main causes of this anisotropy. The 3D models also show that petrophysical data has higher variation in north part of reservoir than south part. In addition to, the west limb of reservoir shows higher porosity than east limb. The variation of sonic and neutron data are similar whereas the density data has opposed variation.
Classification of Preterm Birth With Placental Correlates

Premature birth lacks a widely accepted classification that unites features of the clinical presentation with placental pathology. To further explore associations between the clinical categories of preterm birth and placental histology, 109 infants with gestational age <34 weeks and birth weight <2000 g were selected and, based on electronic records, were classified into preterm birth categories of preterm labor, prelabor premature rupture of membranes, preeclampsia, indicated preterm birth for maternal factors (other than preeclampsia), indicated preterm birth for fetal factors, and the clinical diagnosis of abruption. Corresponding placentas were analyzed for gross and microscopic variables, with findings grouped into categories of amniotic fluid infection, lymphocytic inflammation, maternal vascular malperfusion, and fetal vascular malperfusion. Placental features of maternal vascular malperfusion were pervasive in all preterm birth categories and were commonly associated with amniotic fluid infection and lymphocytic inflammation. Features of maternal vascular malperfusion were significantly associated with preterm birth due to preeclampsia, and amniotic fluid infection was highly associated with prelabor preterm rupture of membranes. Findings of lymphocytic inflammation were significantly increased in cases of abruption. Laminar decidual necrosis was present in all cases of abruption. Placentas from multiple gestations had significantly less histologic findings compared to singletons. Given that 75% of placentas demonstrated at least 1 feature of maternal vascular malperfusion despite different clinical presentations, seemingly different pathologies such as ascending amniotic fluid infection or lymphocytic inflammation may be mechanistically related to processes established early in pregnancy. The concept of “uterine ischemia” may be too simplistic to account for all of the changes attributed to maternal vascular malperfusion in the preterm placenta.
Conditional depletion of GSK3b protects oligodendrocytes from apoptosis and lessens demyelination in the acute cuprizone model

Apoptosis is recognized as the main mechanism of oligodendrocyte loss in Multiple Sclerosis caused either by immune mediated injury (Barnett & Prineas, ) or a direct degenerative process (oligodendrogliapathy; Lucchinetti et al., ). Cuprizone induced demyelination is the result of non‐immune mediated apoptosis of oligodendrocytes (OL) and represents a model of oligodendrogliapathy (Simmons, Pierson, Lee, & Goverman, ). Glycogen Synthase Kinase (GSK) 3b has been shown to be pro‐apoptotic for cells other than OL. Here, we sought to investigate whether GSK3b plays a role in cuprizone‐induced apoptosis of OL by using a novel inducible conditional knockout (cKO) of GSK3b in mature OL. While depletion of GSK3b has no effect on survival of uninjured OL, it increases survival of mature OL exposed to cuprizone. We show that GSK3b‐deficient OLs are protected against caspase‐dependent, but not against caspase‐independent apoptosis. Active GSK3b is present in the nuclei of OL at peak of caspase‐dependent apoptosis. Significant preservation of myelinated axons is associated with GSK3b depletion and glial cell activation is markedly reduced. Collectively, the data show that GSK3b is pro‐apoptotic for caspase‐dependent cell death, likely through activation of nuclear GSK3b and its depletion promotes survival of oligodendrocytes and attenuates myelin loss.