Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of emergency hyperbaric oxygen therapy on nerve injury, angiogenesis and cerebral blood perfusion in patients with acute cerebral infarction

Acute cerebral infarction is the most common cerebrovascular disease in the middle-aged and elderly people and also the main emergency causing death in patients, and how to early rescue patients and save their life to the greatest extent is the key of the clinical research[1,2]. Thrombolysis, neurotrophy, lipid lowering, blood pressure regulating and other conventional therapies have been widely used in the early treatment of acute cerebral infarction, but the specific therapeutic effect is uneven. Hyperbaric oxygen is a reliable way to relieve the hypoxic condition of the body, and many scholars believe that the early application of hyperbaric oxygen therapy can relieve the lesion hypoxia condition and optimize the treatment outcome of patients with cerebral infarction[3,4]. In this research, early hyperbaric oxygen was used for the treatment of patients with acute cerebral infarction in our hospital, and its clinical value was discussed from nerve injury, cerebral angiogenesis and cerebral blood perfusion in order to provide practical reference for subsequent establishment of therapies for similar patients.
The use of topical analgesics in the management of painful diabetic neuropathy

Author Miranda Tawfik, Compounding Pharmacist and Owner of ORIGINS Pharmacy, Oakville Trafalgar Memorial Hospital and Total Health Compounding Pharmacy, Newmarket, Ontario Painful diabetic neuropathy (PDN) affects up to half of patients with diabetes and is a major cause of functional impairment and increased mortality. Its clinical manifestations include sensations such as burning, stabbing and tingling and/or loss of sensation, and it increases the risk for injuries and foot ulceration. Oral pharmacological therapy is the standard approach to management. It is effective in some patients, but its use is limited due to unfavourable side-effect profiles, limited response rates and drug interactions. Increasing evidence of the localized, nonsystemic treatment approach of topical analgesics aims to overcome these obstacles and provide valuable, efficacious and safe management of PDN. This article reviews the rapidly expanding field of topical analgesia in managing PDN.
Demand response by load and EV aggregators enhanced by an option contract

Demand response (DR) is expected to rise with the increasing used of dynamic pricing and availability of advanced metering infrastructure in power networks. The DR capabilities will also be supplemented by the growth of electric vehicles (EV) and their aggregation in smart parking lots. EV aggregators will optimally schedule charging of the EVs depending on the varying hourly price of electricity and it will sell excess stored power to load centers. In this paper we consider a scenario having a load aggregator that schedules a large number of load consuming entities (LCEs) and an EV aggregator that manages a large fleet of parked cars. The aggregators engage in DR and mutually benefit by sharing power through option contracts at times during the day when market price peaks. We develop Nash bargaining strategies for fixed call and swing call options. A numerical problem formulated with PJM market data is used to examine the impacts of option price, strike price, and option quantity on the Nash bargaining solutions under various market power scenarios of the two aggregators.
Aplicación del modelo EFQM en la gestión de los servicios asistenciales de una farmacia comunitaria Implementation of the EFQM model in the management of healthcare services in a community pharmacy

Objectives: This article reviews the work developed in order to implement a quality improvement in a community pharmacy. The system has been based on the European Foundation for Quality Management (EFQM). Methods: A training course for the pharmacist staff was conducted with the European model of quality management. Next, a self assessment test was performed. Main strengths and areas for improvement were identifi ed and three action plans were implemented. Main results: The total score on self-assessment using the EFQM Model has been 313 points, representing 31,3% of the total score of the EFQM Model. During the self-assessment 35 strengths and 25 areas for improvement were identifi ed which were the three action
Effect of Aerobic Exercise on Blood Pressure and Arterial Compliance in Patients with Essential Hypertension

Hong SK, Lee DG, Lee GC. Effect of Aerobic Exercise on Blood Pressure and Arterial Compliance in Patients with Essential Hypertension, JEPonline 2018;21(5):9-18. The purpose of this study was two-fold: (a) to determine the effect of aerobic exercise on blood pressure and arterial compliance in patients with essential hypertension; and (b) to suggest a regimen of aerobic exercise to prevent cardiac risk factors in patients with essential hypertension. There were 14 patients in this study. Seven patients were in the Experimental Group (Medication and Exercise) and 7 patients in the Control Group (Medication). All subjects had hypertension with systolic blood pressure (SBP) of 140 to 160 mmHg and diastolic blood pressure (DBP) of 90 mmHg. Each subject performed 12 wks of aerobic exercise, 4 sessions·wk, 1 hr·session. After 12 wks of aerobic exercise, there was a significant difference in SBP between the two groups (P<0.01). In both groups, SBP and DBP decreased, but it was not significant in the Control Group (Medication). The decrease in the Experimental Group (Medication and Exercise) was statistically significant (P<0.001). After 12 wks of aerobic exercise, there was a statistically significant difference in pulse wave velocity (PWV) between both Groups (P<0.01). The Experimental Group (Medication and Exercise) showed a significant increase after exercise (P<0.05), while the Control Group (Medication) showed no statistically significant difference. Thus, the 12-wk aerobic exercise program in patients with essential hypertension resulted in an increase in arterial compliance and a decrease in blood pressure and body weight.
Dynamics of Price Discovery and Indian Index Futures Market (A case of S&P CNX NIFTY)

The era of globalization and integration of financial markets round the globe has necessitated the development of new financial instruments capable to deal and counteract increased market risks. This dire need for risk management paved the way for introduction and use of derivatives all over the world. With the inception of index futures on the trading bourses, the relationship between spot price index and index futures have been an area of detailed investigation. Derivatives tend to provide greater liquidity at lower transaction costs both for hedging and devising cross-market investment strategies. Specifically, futures contracts were developed as an instrument of risk transfer and price discovery as they provide a mechanism through which information about spot and futures prices gets assimilated and thereafter gets disseminated to all the players in the market mechanism. In common parlance, price discovery is the dynamic process Abstract The continuous economic expansion concurrently occurring round the world has given birth to financial innovations, both in technologies as well as products, one such being derivatives. Derivative contracts saw light of the day on Indian trading bourses in the year 2000 and ever since they have been associated with elements like volatility, price discovery etc. The present paper studies price discovery in conjunction with index futures for the Indian derivative market where S&P CNX NIFTY, the benchmark index of National Stock Exchange of India Limited and FUTIDX (the futures underlying NIFTY) have been chosen as proxy for the study. The study deploys Johansen Co-integration test, Granger Causality test to pinpoint the lead lag relationship between spot and futures market. The time frame of the study stretches from 12th June, 2000 (the day of introduction of index futures on the S&P CNX NIFTY) to 31st March, 2015. This shows that there exists a bi-directional relationship between the two set of markets under study. There are also evidences of long term relationship between the spot index (NIFTY) and futures index (FUTIDX).
Aggressive communication in aquatic environments

Aggressive interactions are ubiquitous among animals. They are either directed towards heterospecifics, like predators or competitors, or conspecifics. During intraspecific encounters, aggression often serves to establish hierarchies within the social group. Thus, in order to understand the mechanisms mediating social organization, it is important to comprehend the escalation and avoidance of aggressive behaviour. Overt aggressive interactions are costly not only in terms of increased risk of injury or death, but also due to opportunity costs and energy expenditure. In order to reduce these costs, animals are expected to communicate their strength and aggressive motivation prior to fights. For this purpose, they use different means of communication in various sensory modalities, that is visual, acoustic, chemical, mechanosensory and electric cues. These different modalities can convey different or similar information, underlining the importance of understanding the multimodal communication of aggression. Thus far, most studies on signalling during aggressive encounters have focussed on visual or acoustic cues, most likely as these are the two modalities predominantly used by humans. However, depending on the species’ ecology, visual or acoustic cues might play a minor role for many species. Especially in aquatic systems, visual communication is often hampered due to high levels of turbidity or limited light conditions. Here, alternative modalities such as chemical, mechanical or electrical cues are expected to play a prominent role. In this review, I provide an overview of different modalities used during aggressive communication in aquatic organisms. I highlight the importance of studying the role of multimodal communication during aggressive encounters in general and discuss the importance of understanding aquatic communication in the light of conservation and animal welfare issues.
Assessment of Water Deficiency Tolerance Indices and their Relation with ISSR Markers in Barley (Hordeum vulgare L.)

Five barley genotypes with wide range reaction for water stress tolerance were used in the present investigation using half diallel analysis. This study tried to solve drought stress problem in some Egyptian barley genotypes by estimating the previous five barley entries beside their ten F1 hybrids under the control treatment and water deficit conditions in the farm of (Nubaria, Beheira governorate). Eight traits under the two treatments of irrigation were determined and inter simple sequence repeat (ISSR) analysis were used to study the effect of water stress. Results obtained from the previous parameters revealed that the accessions; (P1, P2, P3, P1 X P2, P1 X P3, P2 X P3, P3 X P4 and P3 X P5) were recorded the highest mean values for all studied traits under all conditions and the crosses; (P1 X P2, P1 X P3, P2 X P3, P3 X P4 and P3 X P5) detected highly significantly positively results for heterosis over better-parent and specific combining ability effects under the same treatments. While that, the parents number (1, 2 and 3) exhibited significant and highly significant positively results for GCA effects in most calculated traits under both types of irrigation. After estimating additive and dominance variance from the calculated data of (ANOVA analysis) for half diallel analysis, we exhibited that the results of heritability in broad sense of all estimated traits were higher than 99.50% or nearing to 100% under both types of irrigation, but the results of heritability in narrow sense were showed moderately form and lower than 50% for all calculated traits under the control case beside water deficit treatment which indicated that additive variance was medium effect for controlling and inheritance the previous traits for water stress resistance under both experiments. ISSR-PCR technique was used to detect some molecular markers associated with drought tolerance. Ten ISSR primers were used and revealed 25% polymorphism. The successful primers generated 48 bands, which could be used as molecular markers in barley breeding programs for drought tolerance.
CONCRETE MIX WITH WASTEPAPER

: Malaysia is facing a serious challenge in disposing of waste in the many landfills throughout the country that are near or at capacity. The landfill situation is resulting in high disposal costs and potential environmental problems. If current trends continue, with waste production projected to grow by 5% each year, landfills would be at full capacity by 2020. This paper reports on the results of an investigation of utilization of wastepaper as additional materials in concrete mixes to be used for housing projects, for which it must be assured that the resulting concrete has the proper mechanical strength. Concrete mixes containing various contents of the paper were prepared and basic strength characteristics such as compressive strength, splitting tensile, flexural, and water absorption were determined and compared with a control mix. Four concrete mixes containing of the waste, which are control mix, 5%, 10%, 15% as an additional materials to concrete were prepared with ratios of 1:2:3 by weight of cement, sand, and aggregate respectively. The maximum size of aggregate was 20mm. In earlier work on the subject during trial mix, it was shown that the addition of wastepaper reduces the mechanical strength of concrete. The test results also revealed that as the content of the paper increased the water to cement ratio for the mix was also increased. With the addition of 25% wastepaper in proportion to the amount of cement, the mechanical strength decreases significantly. Overall, a high correlation was observed between density and strength of concrete containing paper.
OF 10-K Disclosure Repetition and Managerial Reporting Incentives What Have We Learned and Where Do We Go with Textual Research ?

We discuss the evolution of research on textual attributes in accounting and suggest potential directions for future research using Cazier and Pfeiffer (2017) to illustrate the challenges and opportunities in the literature. We categorize the literature based on whether a given textual attribute is assumed to be ‘‘discretionary’’ versus ‘‘nondiscretionary’’ and whether it is assumed to be ‘‘helpful’’ versus ‘‘harmful. ’’ The literature to date has been largely descriptive, with limited focus on causality, and we argue that there are substantial opportunities for research that better isolate the discretionary components of textual disclosure, as well as identifying specific contexts in which a given attribute is more likely to be helpful than harmful.
CHARACTERIZATION OF OIL PALM EMPTY FRUIT BUNCH (EFB) BIOCHAR ACTIVATED WITH POTASSIUM HYDROXIDE UNDER DIFFERENT PYROLYSIS TEMPERATURE

Malaysia is among the top oil palm producers and exporters in the world. In consequence, this industry creates a huge amount of empty fruit bunch (EFB) as an agriculture by-product from the processing line. In order to convert this waste biomass into high value-added products, biochar from oil palm EFB was activated by using KOH under low, medium and high activation temperature. (400 oC, 600 oC and 800 oC). The physico-chemical characteristics of activated EFB biochars were evaluated by using proximate and ultimate analysis, Brunauer-Emmet-Teller (BET) surface area, surface morphology using Scanning Electron Microscope (SEM) and Fourier Transform Infrared (FTIR) spectrometer. The results of activated EFB biochar that produced at low and medium temperature (400 oC and 600 oC) had shown high in yield, well developed pores and enriched with oxygen containing functional groups (O-H and C-O). In contrast, biochar that activated with high activation temperature (800 oC) produced more total and fixed carbon, high BET surface area, total pore volume and micropore volume as well as aromatic nature.
Animal linguistics and the puzzle of titi monkeys alarm sequences

This article aims to ilustrate how animal linguistics can increase our understanding of animal communication using the example of the alarm system of Black-fronted titi monkeys. Titi monkeys produce sequences composed of Aand B-cals in alarm situations. Previous biological and linguistic works investigated the semantics of these utterances but relied on a preliminary dataset. We folowed up on this work by carrying out an extensive analysis of meaning at the cal and sequence level, based on 18 months of field observations and experiments folowed by acoustical and linguistic analyses. Our results suggest that alarm cals refer to the emotional state of the caler at the time of emission of the cal. Listeners most likely attend to the proportion of BB-grams in each sequence, which provides them with information about the caler’s emotional state, to infer what the predator is (aerial or terrestrial) and where it is (ground or canopy) using their world knowledge. Overal, this work suggests that the emotional states of animals can convey complex and reliable information to listeners. Our study ilustrates that combining field data with linguistic analyses provides a powerful new approach to better understand animal communication.
Markets and Famines: Evidence from Nineteenth‐Century Finland*

This paper uses information on grain prices from mid-nineteenth century Finland to shed some light on how markets performed during one important, if unduly neglected, famine, the Great Finnish Famine of 1866-68. That famine, Europe's last major peace-time subsistence crisis, resulted in the deaths of over one hundred thousand people out of a population of 1.8 million. (This abstract was borrowed from another version of this item.)
Repairing Argumentation Frameworks

Conflicting information in an agent’s knowledge base may lead to a semantical defect, that is, a situation where it is impossible to draw any plausible conclusion. Finding out the reasons for the observed inconsistency (so-called diagnoses) and/or restoring consistency in a certain minimal way (so-called repairs) are frequently occurring issues in knowledge representation and reasoning. In this article we provide a series of first results for these problems in the context of abstract argumentation theory regarding the two most important reasoning modes, namely credulous as well as sceptical acceptance. Our analysis includes the following problems regarding minimal repairs/diagnoses: existence, verification, computation of one and enumeration of all solutions. The latter problem is tackled with a version of the so-called hitting set duality first introduced by Raymond Reiter in 1987. It turns out that grounded semantics plays an outstanding role not only in terms of complexity, but also as a useful tool to reduce the search space for diagnoses regarding other semantics.
Uncertainty Analysis with UNICORN

UNICORN is a standalone uncertainty analysis software package. The name of the package stands for ”UNcertainty analysis wIth CORrelatioNs” and its main focus is dependence modelling for high dimensional distributions. Random variables can be coupled using a number of dependence structures (such as dependence trees, vines, Bayesian belief nets). An extended formula parser is available for defining the model output, as are a number of post-processing options such as report generation, various graphical interpretations, conditioning, sensitivity analysis and probabilistic inversion. We intend to explore some of the more important facets of the software by means of a simple example. The theoretical background as well as more detailed examples and Unicorn exercises can be found in Kurowicka and Cooke (2006).
RESOURCE MANAGEMENT FOR 5G-SATELLITE COMMUNICATION SYSTEMS BASED ON QUEUING THEORY

Nowadays, with the advent of new satellite services, the need for resource management in the emerging fifth generation satellite systems (5G-satellite) is inevitable. Thus, to solve this problem, the Bandwidth Manager for resource reservation in satellite link is mandatory. On the other hand, due to limited resources, their resource management is essential. In order to resource management in 5G-satellite systems, can be applied in one phase or many phases. In this paper, resource management for 5G-satellite services is evaluated. The proposed optimization problem is to maximize mean response time under the propagation delay constraints in satellite links. We solve the considered optimization problem via the single phase and two phase algorithms. Finally, through simulation, the proposed algorithms are investigated and confirmed. In our scenarios, satellite is a Central node in call flows and ground stations are End nodes in 5G-satellite based on Internet protocol. So we simulated all of scenarios in matlab software for this reason.
Nitrogen Depletion Behavior of High-Nitrogen Oxynitride Films After Reoxidation with O2 and N2O Treatment

We investigated the nitrogen depletion behavior of high nitrogen oxynitride after O2 or N2O reoxidation in a rapid thermal furnace. We observed that the nitrogen concentration decreased in both cases, and the nitrogen distribution moved toward the SiO2/Si interface when under N2O reoxidation, however, when under O2 reoxidation it moved toward the surface of the SiO2.
Outlier Detection and Data Clustering via Innovation Search

The idea of Innovation Search was proposed as a data clustering method in which the directions of innovation were utilized to compute the adjacency matrix and it was shown that Innovation Pursuit can notably outperform the self representation based subspace clustering methods. In this paper, we present a new discovery that the directions of innovation can be used to design a provable and strong robust (to outlier) PCA method. The proposed approach, dubbed iSearch, uses the direction search optimization problem to compute an optimal direction corresponding to each data point. iSearch utilizes the directions of innovation to measure the innovation of the data points and it identifies the outliers as the most innovative data points. Analytical performance guarantees are derived for the proposed robust PCA method under different models for the distribution of the outliers including randomly distributed outliers, clustered outliers, and linearly dependent outliers. In addition, we study the problem of outlier detection in a union of subspaces and it is shown that iSearch provably recovers the span of the inliers when the inliers lie in a union of subspaces. Moreover, we present theoretical studies which show that the proposed measure of innovation remains stable in the presence of noise and the performance of iSearch is robust to noisy data. In the challenging scenarios in which the outliers are close to each other or they are close to the span of the inliers, iSearch is shown to remarkably outperform most of the existing methods. The presented method shows that the directions of innovation are useful representation of the data which can be used to perform both data clustering and outlier detection.