Miracle-dz/UniFAR-FTUs huggingface dataset:
Psychogenic Nonepileptic Seizures and Psychosocial Management: A Narrative Review

Psychogenic non-epileptic seizure (PNES) is a common disorder that imitates epileptic seizures and has its etiological roots in psychological distress. Due to its “epileptic” similarity, it is often dealt with not only by mental health professionals but also by physicians, pediatricians and neurologists. There is a growing consensus towards the psychotherapeutic treatment of the disorder, albeit a lack of clarity in choosing a gold-standard approach. This paper seeks to serve as a compendium of different psychotherapeutic approaches and their efficacy in the management of PNES. The paper employed the search strategy by selecting the keywords: “Psychogenic Non-Epileptic Seizures (PNES) and psychosocial management”, “PNES Treatment approach”, “PNES and psychotherapy” in PUBMED, EBSCO host, PsycINFO, and SCOPUS database. Eventually, specific therapies were cross-searched with PNES for an exhaustive review. Several studies were found employing various psychotherapeutic approaches for the treatment of PNES in pilot studies, randomized controlled, or open uncontrolled trials. Cognitive Behavior Therapy was demonstrated as an efficacious treatment for PNES in a randomized controlled trial (RCT). Other approaches that were effective in ameliorating the symptoms were psychodynamic therapies or psychoeducation based group therapies. Some therapies like Novel Integrative psychotherapy, Eye Movement Desensitisation Therapy and Mindfulness-based therapies require further exploration in larger clinical trials. The findings demonstrate that psychological intervention for PNES is a promising alternative treatment approach with a need for more RCTs with a larger sample and robust methodology for better generalization.
The defining characteristic of occupational injuries and disease is that they occur as a result of the production of goods and services

Background The failure to recognize occupational health as an economic phenomenon limits the effectiveness of interventions ostensibly designed to prevent disease and injury. Hence, consideration of economic efficiency is essential in the evaluations of interventions to reduce hazardous working conditions. In this paper, we present an analysis of the cost effectiveness of alternative means of preventing silicosis. Method To evaluate the cost-effectiveness of specific interventions for the prevention of occupationally induced silicosis, we have used the simulation models based on the generalized cost effectiveness analysis (GCEA) developed by the WHO-CHOICE initiative for two representative subregions – namely AMROA (Canada, United States of America), and WPROB1(China, Korea, Mongolia). Results In both of the two subregions, engineering controls are the most cost-effective with ratios varying from $105.89 per healthy year or disability adjusted life year saved in AMROA to approximately $109 in WPROB1. In the two subregions, the incremental cost-effectiveness ratio of Engineering Controls (EC) looks most attractive. Although Dust Masks (DM) looks attractive in terms of cost, the total efficacy is extremely limited. Conclusion To the extent that this analysis can be generalized across other subregions, it suggests that engineering control programs would be cost-effective in both developed and developing countries for reducing silica exposure to save lives. Note that this analysis understates health benefits since only silicosis and not all silica-related diseases are considered.
Personalized Web Search With Supporting Privacy

Personalization is effective way of improving the quality of search result . Personalization means “Obtain the result according to each user’s interest and needs. Personalization deals with information overloaded. Web search is useful only context based and interest oriented. After the development of world wide web search engine become useful for retrieving the information from the web. They help in retrieving information as fast as possible but improvement is still necessary. Current search engine don’t consider about the individual need of user and give the same result to all users. Search engines give information based on web popularity rather than user interest.
ACL Reconstruction and Biomechanics

The goal of ACL reconstruction is to restore the normal knee anatomy and biomechanics. However, not all ACL reconstructions protect the knee joint from developing osteoarthritis. It’s difficult to replicate both the original anatomy and original biomechanics. All knee structures interact geometrically and mechanically with each other. The overall strength behavior of the ACL is the result of the sum of the individual strength behavior of each of its fibers. And each of its fibers length changes according to the knee movement. Typically, single-bundle (SB) transtibial ACL reconstructions have been performed taking into account “isometric” criterion. In this respect, replicating the anteromedial (AM) fibers of original ACL. But it has been suggested that transtibial SB reconstructions can lead to some degree of rotational instability when the knee is close to extension. Recently, in order to have greater rotational stabilizing different surgical options have been proposed. One of those is “anatomic” SB ACL reconstruction selecting the femoral footprint center. But “anatomic” ACL reconstructions cause greater changes in length during the range of movement of the knee than the transtibial ACL reconstructions. Another one of them is the double bundle (DB) ACL reconstruction which involves reconstructing each of these original AM and posterolateral (PL) bundles separately. It achieves better anteroposterior and rotational knee stability “in vitro” but is more technically demanding. Lateral extra-articular procedures in combination with ACL reconstruction has been proposed as a way of potentially improving rotational stability and clinical outcomes.
Use of Box Behnken Design for Development of High Throughput Quantitative Proton Nuclear Magnetic Resonance Experiments for Industrial Applications

The design of experiments has been used for the development of highly efficient and accurate industrial application of quantitative nuclear magnetic resonance (qNMR) spectroscopy. Since these factors are highly dependent on the choice of proper data acquisition and data processing parameters, in this work, seven data acquisition and data processing parameters (excitation pulse width/duration, central frequency, number of scans, sample temperature, acquisition time, line broadening function, and inter scan delay) were investigated and optimized for quantitative proton NMR (qHNMR) experiments to ascertain optimal values. Box Behnken design of experiments was used to arrive at these values by performing minimum number of experiments. To test this methodology, decontamination formulation number two (DS2), a universal field decontaminating reagent of highly toxic chemical warfare agents, was used as a model mixture. Quantification of its components (methyl cellosolve and diethylene triamine) was performed with.
Analysis of E-Banking as a Tool to Improve Banking Services in Zambia

: This research was about e-banking in Zambia. It was about analyzing e-banking and how it impacts on service delivery on the country. The study was qualitative and quantitative in nature and hence a triangulation approach was adopted. The case study was Bank of Zambia and the study periods under consideration are the years ending December 2012 and year ending December 2013. These periods were considered enough to give appropriate findings on the data that can be used for trend analysis on different variables. The data analysis was done using correlation coefficient tool for statistical data and it is a formidable tool for testing relationships between variables leading to a strong relationship reflected by +1 and a weak relationship reflected by -1. The study findings revealed that ZIPPS/RTGS have a +1 correlation coefficient, cheque image clearing also has +1 correlation efficient, EFT has +1 correlation coefficient, and mobile money has -1 correlation coefficient. This means that, the first three have strong variables relationship and mobile money has a weak variable relationship. Increased volumes in mobile money statistics does not mean increased value in USD terms as shown in table 2. Tests on POS and ATM data returned all positive correlation coefficients of 0.9999961 and 0.999999327 with associated negative returns of -0.08889 (9 percent) and - 0.104842 (10.4 percent) respectively as in table 3. Clearly, it is crucial to invest heavily in the telecommunication, IT sectors and to make e-banking safer and trusted to gain acceptance by the banking population in the country.
The Role of Media in the Learning Outcomes of Cognitive Learning and Logical Reasoning of Prospective Biology Teachers in the Wimba Learning Model

Spatial ability has received less attention in learning, whereas it is well known that spatial ability makes it easier for students to understand science. This research aims to determine the role of 3D media on cognitive learning outcomes and reasoning for prospective biology teacher candidates by using the Wimba learning model. The Wimba learning model is a visuospatial-based learning model for enhancing spatial abilities. Research on the role of traditional media playdough (PD) and modern media with 3Ds Max software on learning outcomes and logical reasoning has been observed. The research was conducted by using a descriptive quantitative method and applying it to different learning outcomes on treatment with PD and 3Ds Max media. This was undertaken with two classes of Biology students during semester four, amounting to 56 students who took the course of plant anatomy. The first class was evaluated with PD media, while the second class was evaluated with 3Ds Max media. The results of the research based on PD showed improved learning outcomes with low categories, while logical reasoning can develop proportional variables and enhanced control variables. The results of the research based on 3Ds Max showed an improvement of learning outcomes with the medium category, and that logical reasoning can develop better on correlational and combinatorial variables and is able to improve student intellectual development. It was concluded that 3Ds Max media plays a better role in cognitive learning outcomes and reasoning.
The stability of vincristine sulphate (Teva) in concentrate and diluted with 0.9% sodium chloride

Objective. To determine the stability of vincristine in concentrate in glass containers and diluted with 0.9% sodium chloride in polyethylene (PE) bags. Methods. Solutions of vincristine 5 mg/ml and 1 mg/ml (concentrates) in glass containers were opened and stored at refrigerator temperature (2-8°C) and at room temperature (15-25°C). Another six solutions of vincristine were diluted in 0.9% NaCl and stored in PE bags in the same conditions (2-8°C and 15-25°C). Samples of each solution from the containers were analysed for vincristine concentration initially and after 1, 2, 3, 7, 14, 21, 28, and 31 days of storage. The samples were assayed with a high performance liquid chromatographic (HPLC) method with ultraviolet detection ( = 297nm) to determine the vincristine concentration at each time of sampling. Results. The concentration of vincristine at each sampling time in the analysed solutions remained within 99.18-102.76% of the initial concentration, regardless of the storage temperature and container. Conclusions. Vincristine sulphate, both undiluted in glass containers and diluted with 0.9% NaCl in PE bags, remains stable (< 10% degradation) for at least 31 days at room and refrigerator temperature. (Farm Współ 2013; 6: 1-7)
A brief introduction to the Lorenz ’63 system

Next to relativity, quantum mechanics and cosmology, chaos is probably one of the most groundbreaking discoveries in 20th-century theoretical physics. Although some foundational work had already been done much earlier by mathematicians such as Poincaré, a big breakthrough was Edward Lorenz’ 1963 paper on convection [4]. We will go through the derivation that lead Lorenz to the equations that are named after him and look at some basic properties of chaotic systems. Previously we have studied the Rayleigh-Bénard model of convection in a fluid constrained by two horizontal plates at different temperatures. Currently, the full solution of this problem is much too hard to be tackled analytically. Instead we need to resort to simplifications to gather some insight on the behaviour of the equations. We have seen through linear stability analysis that the zero-velocity solution with linear vertical temperature gradient remains stable as long as the parameters of the system are such that the Rayleigh number is small enough. When the Rayleigh number exceeds a critical threshold, we know that the system becomes unstable to perturbations of certain frequencies. This analysis does not tell us however how perturbations develop beyond the linear regime. The full set of equations is non-linear, so after a short time the non-linear terms that have been dropped in the linear analysis will start to contribute to the development of the perturbation. To study the effects of these non-linearities, Lorenz considered a simplified setting [4], that allows for a more in-depth mathematical and numerical analysis. First of all he takes the flow to be 2-dimensional by taking the velocity in one of the horizontal directions to be zero. Furthermore, in the other horizontal direction the flow is considered to be periodic. This consideration, together with the fact that the vertical motion is restricted by the two plates, allows for a double Fourier expansion of the temperature and velocity fields. By numerically studying the evolution of a large number of Fourier components, Saltzman [5] found evidence that when the Rayleigh number is slightly supercritical, only three of the Fourier modes would remain significantly different from zero. For this reason Lorenz suggested to study a dynamical system containing only these
Out of Many We are One: Measuring Item Batch with Clock-Sketch

Item batch denotes a consecutive sequence of identical items that are close in time in a data stream. It is a useful data stream pattern in cache, burst detection, APT detection, \etc Basic item batch measurement tasks include membership, cardinality, time span and size. Currently, there is no algorithm tailored for item batch measurement. The greatest challenge lies in accurately estimating the time gap between two consecutive identical items. In this paper, we propose Clock-sketch, a framework that introduces the well-known CLOCK algorithm into item batch measurement. The methodology of Clock-sketch is to clean outdated information as much as possible, while guaranteeing that the information of all items visited within the time window $\mathcalT $ is preserved. We conduct experiments on three real-world datasets that feature in item batch pattern. We compare the accuracy and throughput performance of our Clock-sketch against the state-of-the-art and two naive approaches without using Clock-sketch technique. Results of item batch activeness show that Clock-sketch outperforms the state-of-the-art SWAMP in generating 50 times less false positive rate when memory is small. All source codes are open-sourced and released at Github.
A NEW BATHTUB SHAPED FAILURE RATE MODEL: PROPERTIES, AND APPLICATIONS TO ENGINEERING SECTOR

In this paper, we proposed a new model, capable of modeling against the bathtub shaped failure rate phenomena, referred to as the Lehmann-II Muhammad (L-II-M) distribution. We derived some mathematical and reliability characteristics developed some explicit expressions for the moments, quantile function, and order statistics. We suggested a method of maximum likelihood estimator for the estimation of model parameters, and a simulation study was recommended to observe the asymptotic behavior of MLEs. The strength of L-II-M distribution was affirmed by modeling in two suitable lifetime engineering datasets.
Effect of Root Pruning on the Root Growth Potential (RGP) of Three Philippine Native Tree Species

Root growth potential (RGP) is the plant’s capacity to grow new roots, an important trait for seedlings to be used on any reforestation program. In the Philippines, these kinds of programs often end up in failure, as low-quality seedlings are usually chosen due to unfamiliarity with attributes that indicate good outplanting performance, narrow sources of high-quality seeds, and the lack of a reliable quality assessment method. This study aimed to determine the RGP of three native species – namely, bignai (Antidesma bunius), kamagong (Diospyros blancoi), and molave (Vitex parviflora) – and find its correlation with other morphological parameters. The experiment was done in a completely randomized design (CRD) with taproot pruning lengths (1-cm pruning, 2-cm pruning, and no root pruning) applied as treatments for each species. The morphological parameters measured included the relative growth rate (height and diameter), number of leaves, root collar diameter (RCD), biomass (root, shoot, and total) and length of taproot while root-shoot ratio, sturdiness quotient, and seedling quality index (SQI) were calculated. In general, taproot pruning had no significant effects on the seedling morphological attributes of all species. Excluding molave, the two other species had mostly responded well to root pruning and can be recommended as a treatment to induce root growth development. RGP had generally complemented the results from the other parameters, indicating how root development was associated with the morphological growth of the species. The study shows how RGP can also be relied on for testing seedling health and the status of native species. For a more comprehensive result, future research could increase experiment duration or use younger seedlings. A field performance assessment could also be performed to supplement the RGP study
SEBERTNets: Sequence Enhanced BERT Networks for Event Entity Extraction Tasks Oriented to the Finance Field

Event extraction lies at the cores of investment analysis and asset management in the financial field, and thus has received much attention. The 2019 China conference on knowledge graph and semantic computing (CCKS) challenge sets up a evaluation competition for event entity extraction task oriented to the finance field. In this task, we mainly focus on how to extract the event entity accurately, and recall all the corresponding event entity effectively. In this paper, we propose a novel model, Sequence Enhanced BERT Networks (SEBERTNets for short), which can inherit the advantages of the BERT,and while capturing sequence semantic information. In addition, motivated by recommendation system, we propose Hybrid Sequence Enhanced BERT Networks (HSEBERTNets for short), which uses a multi-channel recall method to recall all the corresponding event entity. The experimental results show that, the F1 score of SEBERTNets is 0.905 in the first stage, and the F1 score of HSEBERTNets is 0.934 in the first stage, which demonstarate the effectiveness of our methods.
Biofuels Produced by Fischer-Tropsch Synthesis over Silica-supported Iron-Based Catalysts Prepared by Autocombustion Method

The purpose of this study was to evaluate the effect of different silica types on iron (Fe)-based catalysts containing copper and potassium prepared by autocombustion for direct use in Fischer-Tropsch Synthesis (FTS) without a reduction step. The catalysts were characterized through nitrogen (N2) adsorption, X-ray diffraction (XRD), and transmission electron microscopy (TEM). The FTS performance of each catalyst was evaluated in a fixedbed reactor at 300 ◦C, 1.0 MPa, a catalyst weight to volume flow rate of 10 gcat h/mol and a hydrogen (H2)/carbon monoxide (CO) molar ratio of 1. The pore size of the silica had an important influence on the formation of the Fe active phases and subsequent FTS activity. The presence of iron carbide (FexC), which is known to be one of the active Fe phases, was demonstrated by the XRD and TEM analyses. Larger crystallite sizes in the large pores were much easier to accommodate FexC than the smaller crystallite sizes in the small pores. The Fe-based catalysts supported on the silica with the largest pores gave the highest CO conversion level at 86.5%, with a 28.1% C2–4 selectivity and 17.3% C5+ selectivity under these operating conditions. Interestingly, this is an alternative approach to synthesize nanostructured metallic catalysts on silica and to produce clean biofuel for the fuel industry and transportation.
WEDF Student Initiative Submission Living in the era of personalization: The illusion of valid consent

According to Eli Pariser (2011) since December 2009 we live in the era of personalization, where everything we consume online has been tailored. As the vast majority of online services is free, the revenue model has evolved and is now based on targeted advertising and real-time bidding of data collected through tracking and online profiling. This aggregation of personal information including special categories of data such as health and political opinions (as defined in article 9(1) of the General Data Protection Regulation (GDPR)) has led to unprecedented commercial and political exploitation of data subjects. The scope of this essay is to explain the free online business model, its impacts on our lives and analyse why the current legal and technical measures are inadequate to deal effectively with such privacy intrusive models.
Screen time and Sleep Quality among College and University Students of Karachi

Objectives: To assess the relationship between screen times and sleep quality of the age group 17-24. Methodology: This is a cross-sectional study. The study was conducted on students of Colleges and universities in Gulshan-e-Iqbal Town Karachi. A total of 600 undergraduate students were approached in colleges and universities of Gulshan Town, Karachi. The sampling technique was Multi Staged sampling. The research instrument comprised of 3 parts i) Demographic profile, ii) Sleep quality measures and iii) Screen time usage measures. Results: The mean total hour of sleep was 6.7 ± 1.5. The Mean Cumulative score of the components of the questionnaire was 7.47 ± 3.56, while 174 (29%) have Normal Sleep quality and 426 (71%) have poor sleep according to the questionnaire. The odds ratio suggests there were 4.23 times higher chances of poor sleep quality in students whose screen time was more than 2 hours on weekdays as compared to other students. (OR: 4.23, 95% CI: 2.66-6.72). The odds ratio suggests there were 24.15 times higher chances of poor sleep quality in students whose screen time was more than 2 hours on weekends as compared to other students (OR: 24.15, 95% CI: 11.192-52.11). Conclusion: As, negative impacts were determined within sleep quality, and increased screen watching of multiple versions of the devices (screen time), influencing the commended level of screen watching among university and college students (age 17-24) is an affair of public health.