Miracle-dz/UniFAR-FTUs huggingface dataset:
Security in public Wi-Fi networks

Since open WiFi networks are widely used, it is important to secure such networks. In this research public wireless networks and their security are discussed. With the new Wireless Access Protocol, WPA3, the security of public networks has improved significantly. However, regarding evil twin attacks nothing is changed in WPA3, thus this kind of attacks is still one of the possibilities an adversary has. In this thesis we will first review the improvements in WPA3 with respect to WPA2 and introduce the new techniques and protocols in WPA3. After that, multiple approaches are presented to protect clients against evil twin attacks. Finally, the approach that is best regarding our criteria, i.e., the use of ”trust on first use”, is chosen and recommendations are made on how to use this.
R & D cooperation and innovation activities of firms : Evidence for the German manufacturing industry

The aim of the paper is to investigate in a simultaneous equation framework the role of R&D cooperation in the innovation process under two specific aspects. First, the analysis is concentrated on the impact of R&D cooperation in line with other factors on firm’s innovation input and output. Second, it will be analyzed how the number of cooperation partners affects the development of new products. Starting with the discussion of theoretically expected effects of successfully R&D cooperation on the innovation activities of firms, the importance of inter-organizational arrangements in R&D is empirically investigated for firms in the German manufacturing industry. The estimation results can be summarized as follows: In the German manufacturing industry, R&D cooperations are used complementary in the innovation process, enhancing the innovation input and output of firms measured by the intensity of inhouse R&D respectively the realization of product innovations. On the input side, the intensity of inhouse R&D also stimulates the probability and the number of R&D cooperations with other firms and institutions.
Pemetrexed combined with cisplatin for patients with EGFR-TKI resistant advanced lung cancer

Objective: The aim of the current study was to observe the efficacy of pemetrexed combined with cisplatin in patients with advanced lung cancer and EGFR-TKI resistance. Method: A total of 94 patients with advanced lung cancer and acquired resistance to EGFR TKIs were enrolled. They were randomly included in the experimental group (N=47) and control group (N=47). The experimental group was treated with pemetrexed plus cisplatin, while the control group was treated with docetaxel plus cisplatin. Efficacy evaluation criteria of solid tumors were used to compare therapeutic effects at the end of treatment. Chemotherapy toxicity during treatment was compared. Serum vascular endothelial growth factor (VEGF) and carcinoembryonic antigen (CEA) were detected by enzyme-linked immunosorbent assays. Progression-free survival and 3-year survival rates of the two groups of patients after treatment were compared via follow-ups. Finally, the relationship between smoking and efficacy was analyzed. Results: The experimental group showed significantly higher total remission rates, disease control rates, and progressionfree survival rates, as well as lower total incidence of toxicity, serum VEGF, and CEA expression, compared to the control group (P<0.05). Conclusion: Pemetrexed combined with cisplatin for treatment of advanced lung cancer patients with EGFR-TKI acquired resistance shows better efficacy than docetaxel plus cisplatin.
A SURVEY ON RESOURCE ALLOCATION POLICIES IN CLOUD COMPUTING ENVIRONMENT

Cloud computing provides a shared pool of resources, including data storage space, networks, processing power of computer, and user applications. For providing the service by the cloud service provider and using the services by the cloud user, an initial agreement called the Service Level Agreement has to be made between the cloud users and the cloud service provider. While resource allocation is made to the cloud user, SLA violation should be avoided as much as possible or Service Level Agreement violation should be minimal without compromising Quality of Service parameters like performance, availability, response time, security, reliability, throughput etc. In order to efficiently utilize resources, various resource allocation techniques are to be used. In this paper, various resource allocation strategies and their challenges are discussed in detail.
Competition Policies Matter – At least at the Margin : Cross-Country Evidence Using Four New Indicators

This paper introduces a number of indicators on various aspects of competition laws and competition agencies in order to make competition policies comparable. It contains an indicator concerned with the objectives and the instruments of competition laws, a second indicator evaluating to what degree an economic – as opposed to a legal – approach to competition policy has been chosen. Based on the assumption that it is not the content of the law alone but also the structures erected in order to implement the law, it further presents an indicator reflecting the formal independence of competition agencies and a fourth one reflecting their factual independence. These four indicators are used to estimate the effects of competition policies on economic growth. It turns out that all four variables contribute to explaining differences in total factor productivity. Yet, their impact is not particularly robust to the inclusion of indicators for the general quality of institutions.
Using the Bag-of-Audio-Word Feature Representation of ASR DNN Posteriors for Paralinguistic Classification

The Bag-of-Audio-Word (or BoAW) representation is an utterance-level feature representation approach that was successfully applied in the past in various computational paralinguistic tasks. Here, we extend the BoAW feature extraction process with the use of Deep Neural Networks: first we train a DNN acoustic model on an acoustic dataset consisting of 22 hours of speech for phoneme identification, then we evaluate this DNN on a standard paralinguistic dataset. To construct utterance-level features from the frame-level posterior vectors, we calculate their BoAW representation. We found that this approach can be utilized even on its own, although the results obtained lag behind those of the standard paralinguistic approach, and the optimal size of the extracted feature vectors tends to be large. Our approach, however, can be easily and efficiently combined with the standard paralinguistic one, resulting in the highest Unweighted Average Recall (UAR) score achieved so far for a general paralinguistic dataset.
Environmental Management Reporting and Corporate Performance: Evidence from Natural Resources, Agriculture, Oil and Gas Firms in Nigeria

How to cite this paper: Theophilius Okonkwo Okegbe | Ezelibe Chizoba Paulinus | Okoye Henry Onyebuchi "Environmental Management Reporting and Corporate Performance: Evidence from Natural Resources, Agriculture, Oil and Gas Firms in Nigeria" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 24566470, Volume-3 | Issue-5, August 2019, pp.2206-2211, https://doi.org/10.31142/ijtsrd27888
IMPROVING CREATIVITY; SUSTAINABLE COMPETITIVE ADVANTAGE STRATEGY: EXPLAINING THE ROLE OF TALENT DEVELOPMENT

The aim of this research is to offer practical solutions to improve staff creativity as a strategy of sustainable competitive advantage based on talent development in insurance industry. The research is applied in terms of objective, and its methodology is descriptive -correlational. The data was collected using a questionnaire. The validity of the questionnaire was confirmed by experts and the questions’ factor analysis and the reliability were confirmed by Cronbach’s alpha coefficient. The research statistical population consisted of managers and experts of the 11 superior insurance firms in east Azerbaijan province. The statistical volume was determined 290 individuals by using Cochran formula in confidence level of %95 that they were selected randomly. The results showed that talent development has a positive impact with path coefficient of 0.44 on employee’s creativity. According to the role of creativity in creation of the sustainable competitive advantage, this research can solve the problems of the chief mangers in talent development aligned with creation of sustainable competitive advantage in this industry.
Ethnic and Minority Issues

Multicultural issues have received great attention in recent years in the medical, behavioral, and social sciences. Unfortunately, researchers in physical medicine and rehabilitation have been conspicuously silent with regard to this topic, despite the fact that many racial and ethnic issues arise in the care of patients with chronic disease, injury, and disability. In the absence of meaningful conceptual models and rigorous empirical data, clinicians may inadvertently rely on anecdotal lore and subtle, if not blatant stereotypes of patients who are not members of the majority culture. The degree to which these practices can affect clinical care is generally unknown, although converging evidence suggests that the risk for insensitive and ineffectual treatment is high when cultural differences are ignored, minimized, or misconstrued. A rudimentary understanding and appreciation of ethnic and minority issues may help physicians enhance the care for and provide more efficacious treatments to members of the nonmajority cultures. The multicultural issues addressed in the extant rehabilitation literature have been examined by specific service providers in vocational rehabilitation (1) or have been examined with respect to broader issues in the role of biopsychosocial mechanisms in behavioral health (2). More specialized and condition-specific issues have been studied in isolated research projects that have yet to be synthesized in any meaningful fashion for rehabilitation professionals. Thus, a rather disjointed literature
Normative experience or taboo ? Understating college women ’ s drinking in the context of religiosity and social media

Excessive alcohol consumption imposes serious health riskson college women. Despite the harmful effects, more than half of the college women in the United States continue to drink and drink excessively. One contributor to the phenomenon lies in the college culture in the United States which perpetuates heavy alcohol consumption in peer interactions. Few studies linking social norms and collegiate drinking examined the influence of religiosity and social media. Drawing upon the Theory of Planned Behaviors, this study examined the impact of religiosity on college women’s perceived drinking norms and self-disclosure of drinking on social media through a quantitative survey. The findings reveal that high levels of religiosity reduces female college students’ perceived injunctive drinking norms. In addition, college women with all levels of religiosity uniformly perceived alcohol-related references as a taboo for their online representations, tentatively suggestingan enduring power of traditional gender roles.In addition, the major propositions of TPB regarding the effect of social norms was also evident in an online environment. Theoretical and practical implications are discussed.
Community Ecology of the Non-phyllostomid bats of Northwestern Belize, with a landscape level assessment of the bats of Belize

Historically sampling bats in the Neotropics has been with mist-nets, which has biased knowledge of Neotropical bat communities towards the leaf-nosed bats Phyllostomidae). Because of this, more is known about this single family of bats than all of the others non-phyllostomids) combined. New acoustic methods for sampling this poorly known component of a Neotropical bat community were pioneered. The Anabat system using Zero-crossings analysis proved to be more cost effective for identification of Neotropical species that did the Pettersson that used time-expansion and spectral analysis. Nine habitats were sampled over a 36month period in northwestern Belize, combining harp traps and new acoustic methods. The community studied was within the Selva Maya, the largest contiguous block of tropical forest north of South America. This area is also known for the regional endemic species found within the community. This study provided data on the non-phyllostomid community at a level of detail that was never before possible. Many species previously thought to be rare, such as Centronycteris centralis and Bauerus dubiaquercus are now known to be common in appropriate habitat. Species use of habitats indicates that a number of non-phyllostomids C. centralis, Pteronotus personatus, B. dubiaquercus and Myotis elegans) may be good indicators of forested habitats. The long-standing question of whether species assemblages in Neotropical bat communities are the result of deterministic or stochastic processes was tested. It was found that the species assemblages in this non-phyllostomid bat community in northwestern Belize showed strong evidence of community structure. The results of this study demonstrate the need to re-assess rarity for many Neotropical bat species, with implications for the conservation and management of Neotropical bats.
The effectiveness of sacroiliac manipulation alone versus sacroiliac manipulation following ischaemic compression of gluteus medius trigger points in the treatment of sacroiliac syndrome

In recent years, sacroiliac syndrome has been widely accepted by many different health professions as one of the major contributors to mechanical low back pain. Manipulation to effect the relief of the condition has thus far proven to be one of the most effective methods. However, comparatively little research has been done on the different forms of physical therapy that can be used in conjunction with a manipulation so as to maximise its effect. This study focussed on the use of ischaemic compression (a well-accepted technique for the treatment of myofascial trigger points) of the gluteus medius muscle.
Smart Drip Irrigation System Using IOT

: Water is the important source in human life. Around 80 % to 90 % water used in agriculture field. As due to day by day growth in globalization and population water consumption is also increases. Today automation is one of the important roles in agriculture field. Agriculture is the primary occupation in our country. India’s major income source is depending on agriculture therefore the development of agriculture is important. In today also most of the irrigation systems are operated manually. The available traditional techniques are like drip irrigation, sprinkler irrigation etc. By the use of Drip Irrigation we can save water and fertilizer provided to the crops. Whenever there is a change in temperature, humidity and current status of rain of the surroundings these sensors senses the change in temperature and humidity and gives an interrupt signal to the raspberry pi. This paper focuses primarily on reducing the wastage of water and minimizing the manual labor on field for irrigation so that you can save time, cash and power of the farmer.
Foliose lichens along the trails of Casaroro Falls and Pulangbato Falls in Valencia, Negros Oriental, Philippines

Lichens are abundant and highly diverse in tropical areas such as the Philippines due to its climate and geographical features. However, several regions of the country remained underexplored or unexplored and many species remained undiscovered in the country’s many unique habitats. This study determines the occurrence of foliose lichens in Casaroro Falls and Pulangbato Falls in Valencia, Negros Oriental, Philippines. The lichen morphologies were characterized using available taxonomic keys. Among the 26 lichen samples collected from the two falls, 23 specimens were identified based on their morphological and biochemical characteristics. Of these, 8 species were specific to Casaroro Falls and 13 species to Pulangbato Falls, with only 2 species of lichens found on both waterfalls. Interestingly, 17 species are new records for the Philippines.
MULTITEMPORAL ANALYSIS OF SAR IMAGES FOR DETECTION OF FLOODED AREAS IN PANTANAL

The Pantanal is one of the most important and preserved biomes in Brazil. This region is annually flooded due to episodes of precipitation along the Paraguay River and its tributaries. Understanding the dynamics of flooding is extreme important since it influences the entire Pantanal ecosystem. Remote Sensing data is an alternative to the identification of flooded areas and their changes in different periods. Among the possible sensors capable of mapping these flooded areas Radar sensor is one of the most attractive – mainly due to the low influence of cloud cover and atmospheric conditions, allowing imaging in dry or rainy seasons. For this work, Radar images from Sentinel 1 satellites for the years 2016, 2017, and 2018 were used. All available data from these years for the study area were used to generate images that represent the seasonality in the region for each year. In total, 1141 Sentinel 1 radar images were processed. The processing of such amount of data was possible through Google Earth Engine platform, which is capable of robust processing of a large amount of data, especially Remote Sensing data. At the end, it was possible to generate images that represent the seasonality of each year. It was also possible to compare the years, highlighting the differences between flooded areas indicating the periods of major precipitation.
Two Cases of Repetitive Episodic Tension-type Headache Patients who were Constitutionally Typed as Soyangin and Taeeumin

1. Objectives: This study reports two cases of repetitive episodic tension-type headache patients who were each constitutionally typed as the Taeeum type and the Soyang type and respectively treated with Yanggyeoksanhwa-tang and Galgeunhaegi-tang. 2. Methods: The patients' subjective and objective symptoms were observed daily, and the VAS scores for the main symptoms were recorded daily throughout hospitalization period. When deemed necessary, other assessment tools were engaged (Migraine-Specific Quality of Life questionnaire, Migraine Disablity Assessment questionnaire, Headache Impact Test-6, etc.). 3. Results: The Soyang Type patient's headache improved by the end of hospitalization, with a dramatic drop in the VAS score from VAS 10 to VAS 2. The Taeeum Type patient's headache also showed improvement, with an equally dramatic decrease in the VAS score from VAS 10 to VAS 2. 4. Conclusion: Although the two patients were experiencing the same symptoms of repetitive episodic tension-type headache, they were each given different medicinal interventions in accordance to their respective constitutional types. This series of cases is notable in that the two widely different medications (Yanggyeoksanhwa-tang and Galgeunhaegi-tang) were applied to specifically conforming pathologies (the Sogal symptomatology and the Ganyeol symptomatology, respectively) to produce equally dramatic improvements.
Impacts of Climate Change on the Hydro-Climate of Peninsular Malaysia

In this study, a regional climate model was used to dynamically downscale 15 future climate projections from three GCMs covering four emission scenarios (SRES B1, A1FI, A1B, A2) based on Coupled Model Intercomparison Project phase 3 (CMIP3) datasets to 6-km horizontal resolution over the whole Peninsular Malaysia. Impacts of climate change in the 21st century on the precipitation, air temperature, and soil water storage were assessed covering ten watersheds and twelve coastal regions. Then, by coupling a physical hydrology model with the regional climate model, the impacts of the climate change on river flows were assessed at the outlets of ten watersheds in Peninsular Malaysia. It was found that the increase in the 30-year mean annual precipitation from 1970–2000 to 2070–2100 will vary from 17.1 to 36.3 percent among the ten watersheds, and from 22.9 to 45.4 percent among twelve coastal regions. The ensemble average of the basin-average annual mean air temperature will increase about 2.52 °C to 2.95 °C from 2010 to 2100. In comparison to the historical period, the change in the 30-year mean basin-average annual mean soil water storage over the ten watersheds will vary from 0.7 to 10.9 percent at the end of 21st century, and that over the twelve coastal regions will vary from −1.7 to 15.8 percent. Ensemble averages of the annual mean flows of the 15 projections show increasing trends for the 10 watersheds, especially in the second half of the 21st century. In comparison to the historical period, the change in the 30-year average annual mean flows will vary from −2.1 to 14.3 percent in the early 21st century, 4.4 to 23.8 percent in the middle 21st century, and 19.1 to 45.8 percent in the end of 21st century.
The (Artefactual) Remission of Reading Disability: Psychometric Lessons in the Study of Stability and Change in Behavioral Development.

Patterns of reading disability were examined in 2 longitudinal studies. The major findings were (a) that on the basis of the observed data, remission of reading disability was relatively common with up to 37% of reading-disabled children showing remission of this disability within a 2-year period, and (b) when the data were analyzed with a latent Markov model that took account of measurement errors in test scores, the estimated true rate of remission of reading disability was between 15% and 19% over a 2-year period. The presence of measurement error in reading disability classifications may lead to an inflated and misleading impression of the rate of remission of these problems. General implications of these findings for interpreting patterns of stability and change in longitudinal-developmental data were discussed.
Constraining Climate Model Projections of Regional Precipitation Change

As communities prepare for the impacts of climate change, policy makers and stakeholders increasingly require locally resolved projections of future climate. Statistical downscaling uses low‐resolution outputs from climate models and historical observations to both enhance the spatial resolution and correct for systematic biases. By examining the downscaled rainfall over land, we show that although bias corrections are effective in reducing biases in the current climate, they do not reduce the intermodel spread in future rainfall projections. This failure stems from the strong dependence of future rainfall change upon the current climatological rainfall patterns. Even after bias corrections are applied, the downscaled projections of precipitation change retain this dependence upon their native climatology. However, we show that this dependence can be exploited; even very simple methods to subset models according to their ability to resolve the observed rainfall climatology can substantially reduce the intermodel spread in rainfall projections.