Miracle-dz/UniFAR-FTUs huggingface dataset:
A weighted graph‐based method for detection of data integrity attacks in electricity markets

The negative impacts of data integrity attacks against multi-settlement electricity markets have been recently studied. It has been shown that adversaries could launch proﬁtable cyber attacks by casting an incorrect image of transmission lines’ congestion pattern while simultaneously submitting bogus bids in electricity markets. Although a variety of counter-measures have been proposed in the literature to detect such data integrity attacks, none of those approaches has been designed speciﬁcally to ensure data integrity of multi-settlement electricity markets. The existing methods may even fail to detect complicated types of attacks (e.g. unobservable false data injection attacks) or fail to address practical constraints and requirements of the electricity markets. As an example, most of the attack detection approaches have been established based on the DC economic dispatch, while the modern electricity markets may use AC models. This paper proposes a new anomaly detection tool based on graph theory using so-called egonets , speciﬁcally designed to detect false data injection attacks against electricity markets. In contrast with the conventional detection methods, the malicious intention of the adversaries is exploited in the design procedure. Therefore, the proposed approach can detect false data injection attacks, regardless of the attack type and power ﬂow model.
Optimal Wireless Charging Inclusive of Intellectual Routing Based on SARSA Learning in Renewable Wireless Sensor Networks

The next generation’s sensor nodes will be more intelligent, energy conservative, and perpetual lifetime in the set-up of wireless sensor networks (WSNs). These sensors nodes are facing the overwhelming challenge of energy consumption which gradually decreases the lifetime of overall network. The wireless power transfer (WPT) is one of the most emerging technologies of energy harvesting that deploys at the heart of sensor nodes for efficient lifetime solution. A wireless portable charging device (WPCD) is drifting inside the WSN to recharge all the nodes which are questing for the eternal life. In this paper, we aspire to optimize a multi-objective function for charging trail of WPCD, and self-learning algorithm for data routing jointly. We formulated that the objective functions can optimize the fair energy consumption as well as maximize the routing efficiency of WPCD. The fundamental challenge of the problem is, to integrate the novel path for WPCD by applying the Nodal A* algorithm. We proposed a novel method of sensor node’s training for intellectual data transmission by using of clustering and reinforcement learning (SARSA) defined as clustering SARSA (C-SARSA) along with an optimal solution of objective functions. The whole mechanism outperforms in terms of trade-off between energy consumption and stability (fair energy consumption among all nodes) of the WSN; moreover, it prolongs the lifetime of the WSN. The simulated results demonstrate that our proposed method did better than compared literature in terms of energy consumption, stability, and lifetime of the WSN.
Body Appreciation in Lesbian, Bisexual, and Queer Women: Examining a Model of Social Support, Resilience, and Self-Esteem

Abstract Purpose: There is increasing research on positive body image, but no studies to date have examined these constructs in lesbian, bisexual, and queer (LBQ) women. However, LBQ women are at increased risk for mental health concerns and disordered eating, and there is evidence that body appreciation might be both adaptive and protective. This study examined factors that could uniquely relate to body appreciation in LBQ women. Method: Women identifying as LBQ (N=150) completed demographics and measures of social support, resilience, self-esteem, and body appreciation. We tested a hypothesized mediational model of social support leading indirectly to body appreciation through resilience and self-esteem, controlling for body mass index. Results: All direct effects, except social support to body appreciation (p=0.696), were significant (ps=0.017–0.001), reflecting a full multiple mediation. As hypothesized, the effect of social support on body appreciation was indirect (p=0.011), through resilience and self-esteem. Conclusion: This is the first study to investigate factors that might facilitate positive body image in LBQ women. Although preliminary, results suggest social support, resilience, and self-esteem might be important targets of body image interventions with LBQ women.
Stabilization of Two-Port Networked Systems With Simultaneous Uncertainties in Plant, Controller, and Communication Channels

In this paper, we study robust stabilization for the networked control system (NCS) over the communication channels described by cascaded two-port networks. Such an NCS involves simultaneous uncertainties in the plant, controller, and two-port communication channels. The cascaded two-port connections arise when signals in the NCS are transmitted through bidirectional communication channels separated by a sequence of relays. Distortions and interferences occurring in communications are taken into account. We consider ${\mathcal H}_{\infty }$-norm bounded uncertainties in the transmission matrices of the two-port channels, and the gap-type uncertainties in the plant and controller models. A necessary and sufficient condition for the robust stability of the NCS is presented in the form of an “arcsine” inequality, which states that the NCS is stable whenever the uncertainties quantified by the aforementioned metrics are well bounded and satisfy the “arcsine” inequality. A stability margin related to the Gang of Four transfer matrix is obtained, based on which the controller synthesis problem can be solved through a special ${\mathcal H}_{\infty }$ optimization with favorable properties. Furthermore, a generalized stability condition is studied in terms of frequency-wise bounded uncertainties, and the corresponding controller synthesis problem is proposed and solved.
Maternity Leaves and Their Effects on Career and Career Development

On the request of the commissioning organization I have written an article titled Tyopaikan perheystavallisyys ja joustot edesauttavat aitien toihinpaluuta which was published in Mothers in Business ry’s official homepage on 13th March 2019. The writing can be found in Appendix 2 of the thesis.
Costo de la Atención Hospitalaria y Años de Vida Perdidos por la Muerte Materna

Background: Maternal mortality is accepted as a key indicator of health and socioeconomic status. Health indicators reflect not only the general state of the health system, but also various aspects of the structure of a country. Objective: To determine the cost of hospital care and years of life lost due to maternal death. Material and Methods: Retrospective study of cost analysis carried out from 2011 to 2014 at Maternal Prenatal Hospital “Monica Pretelini Saenz” in Toluca, State of Mexico. We included 91 clinical files classified into 2 groups. The first group with a diagnosis of maternal death (MM) (n = 49) and the second group with maternal survival (SM) (n = 42), with prenatal control that culminated their pregnancy without complications. The prenatal control, resolution path and hospitalization in Mexican pesos were paid at the time of the study. Results: Of the variables studied, the mean age was 27 ± 6 years with MM and 28 ± 5 years with MS. The years of life lost due to maternal death (AVP) were 1,535.51, the average was 31.33 with MM. The MM group obtained 62% less prenatal control than the SM group ($ 1,591.23* MM vs. $ 4,190.48 SM, p <0.0001). The resolution path increased 12% for the MM group ($ 8,114.92 MM vs. $ 7,222.00 SM, p < 0.0001) and the cost of hospitalization increased 1584%, ($ 34,313.72 MM vs. $ 2,037.14 SM, p <0.0006). The total cost increased 227% for the MM group ($ 44,019.86 MM vs. $ 13,449.62 SM, p <0.001). Conclusion: The total costs of maternal mortality were increased by complications during delivery and puerperium that required specialized attention, medications and high-cost supplies. *The amounts have been estimated in Mexican pesos at the time of the study.
Formation of the Environment of Professional Self-Determination in Russian Schools

Global changes occurring in all walks of life have also had an impact on education. The school must prepare a graduate who is able to successfully socialize and be in demand and competitive. That is why, the problem of professional self-determination and the choice of future profession by students is particularly acute. The training of professionals of the 21st century should be carried out in educational organizations with prevocational training, which is the basis for obtaining high-quality professional education in the very near future. The authors of the article describe the environment of professional self-determination on the basis of early vocational guidance and pre-vocational training of schoolchildren, which includes the following blocks: resources, activities, results. The results obtained in this study can be useful for creating an environment of professional self-determination, early vocational guidance and pre-vocational training of students in educational institutions, which will ensure the emergence of a “new type” graduate – a young person who has the ability to consciously choose a professional path in unity with professional mobility.
Metabolomics Analysis of Mesenchymal Stem Cells

Various mesenchymal stem cells as easily accessible and multipotent cells can share different essential signaling pathways related to their stemness ability. Understanding the mechanism of stemness ability can be useful for controlling the stem cells for regenerative medicine targets. In this context, OMICs studies can analyze the mechanism of different stem cell properties or stemness ability via a broad range of current high-throughput techniques. This field is fundamentally directed toward the analysis of whole genome (genomics), mRNAs (transcriptomics), proteins (proteomics) and metabolites (metabolomics) in biological samples. According to several studies, metabolomics is more effective than other OMICs ّfor various system biology concerns. Metabolomics can elucidate the biological mechanisms of various mesenchymal stem cell function by measuring their metabolites such as their secretome components. Analyzing the metabolic alteration of mesenchymal stem cells can be useful to promote their regenerative medicine application.
Phosphor Glass-Coated Sapphire With Moth-Eye Microstructures for Ultraviolet-Excited White Light-Emitting Diodes

In this paper, we used a moth-eye structured phosphor-in-glass (PiG) to enhance the luminous efficiency (LE) of ultraviolet (UV)-excited white light-emitting diodes (WLEDs). The proposed PiG was prepared by printing and sintering a red/green phosphor film on a moth-eye array-structured (MAS) sapphire plate. Then, this PiG was directly bonded on a UV-LED flip-chip to achieve an ultra-compact and reliable WLED device. The luminescent performances of the WLEDs were adjusted by managing the thickness of PiG film from 20 to <inline-formula> <tex-math notation="LaTeX">$107~\mu \text{m}$ </tex-math></inline-formula>. When the film thickness is <inline-formula> <tex-math notation="LaTeX">$20~\mu \text{m}$ </tex-math></inline-formula>, the LE of the WLED with the MAS PiG is increased by 20.96% compared to the WLED with the flat PiG, and the correlated color temperature (CCT) is 4712 K and the color rendering index (CRI) is 78.7. It is chiefly attributed to a significant reduction of total internal reflection at the PiG and air interface benefit from using MAS. In addition, the light intensity of the MAS PiG from −80° to 80° is higher than that of the reference PiG. For the reference PiG, the electric field amplitude is strong in the air at <inline-formula> <tex-math notation="LaTeX">$\theta _{s} = \textsf {0} {^{\circ }}$ </tex-math></inline-formula>, and then becomes weak at the critical angle of <inline-formula> <tex-math notation="LaTeX">$\theta _{s} = 36 {^{\circ }}$ </tex-math></inline-formula>. Consequently, the MAS PiG plays a promising role in the luminescent converter for high-quality WLEDs and can significantly improve the luminescent performances.
The Moral Politics of Hans Morgenthau

It is argued that, in contrast to traditional interpretations, Morgenthau's theory of international politics is primarily concerned with the normative, and that, in contrast to revisionist accounts, the moral theory he generates is rooted in the Judeo-Christian tradition of moral thought. Morgenthau adopts an Augustinian, rather than Hobbesian-Machiavellian, moral framework, reconciling cosmopolitan principles with a recalcitrant reality by representing their relationship as a dialectical tension. This leads him to develop a practical morality which emphasizes the continued application of cosmopolitan imperatives to action, mitigated by a consequentialist orientation which demands that they be applied cautiously and always adapted to circumstances. This generates a political morality which reconciles the imperatives of morality and national survival by asserting that, while the national interest must be protected, it must always be subjected to strict moral limitations. It is therefore concluded that his approach ultimately culminates in a traditional, Judeo-Christian, nonperfectionist ethic.
The Cost-Effectiveness of Digital Health Interventions on the Management of Cardiovascular Diseases: Systematic Review

Background With the advancement in information technology and mobile internet, digital health interventions (DHIs) are improving the care of cardiovascular diseases (CVDs). The impact of DHIs on cost-effective management of CVDs has been examined using the decision analytic model–based health technology assessment approach. Objective The aim of this study was to perform a systematic review of the decision analytic model–based studies evaluating the cost-effectiveness of DHIs on the management of CVDs. Methods A literature review was conducted in Medline, Embase, Cumulative Index to Nursing and Allied Health Literature Complete, PsycINFO, Scopus, Web of Science, Center for Review and Dissemination, and Institute for IEEE Xplore between 2001 and 2018. Studies were included if the following criteria were met: (1) English articles, (2) DHIs that promoted or delivered clinical interventions and had an impact on patients’ cardiovascular conditions, (3) studies that were modeling works with health economic outcomes of DHIs for CVDs, (4) studies that had a comparative group for assessment, and (5) full economic evaluations including a cost-effectiveness analysis, cost-utility analysis, cost-benefit analysis, and cost-consequence analysis. The primary outcome collected was the cost-effectiveness of the DHIs, presented by incremental cost per additional quality-adjusted life year (QALY). The quality of each included study was evaluated using the Consolidated Health Economic Evaluation Reporting Standards. Results A total of 14 studies met the defined criteria and were included in the review. Among the included studies, heart failure (7/14, 50%) and stroke (4/14, 29%) were two of the most frequent CVDs that were managed by DHIs. A total of 9 (64%) studies were published between 2015 and 2018 and 5 (36%) published between 2011 and 2014. The time horizon was ≤1 year in 3 studies (21%), >1 year in 10 studies (71%), and 1 study (7%) did not declare the time frame. The types of devices or technologies used to deliver the health interventions were short message service (1/14, 7%), telephone support (1/14, 7%), mobile app (1/14, 7%), video conferencing system (5/14, 36%), digital transmission of physiologic data (telemonitoring; 5/14, 36%), and wearable medical device (1/14, 7%). The DHIs gained higher QALYs with cost saving in 43% (6/14) of studies and gained QALYs at a higher cost at acceptable incremental cost-effectiveness ratio (ICER) in 57% (8/14) of studies. The studies were classified as excellent (0/14, 0%), good (9/14, 64%), moderate (4/14, 29%), and low (1/14, 7%) quality. Conclusions This study is the first systematic review of decision analytic model–based cost-effectiveness analyses of DHIs in the management of CVDs. Most of the identified studies were published recently, and the majority of the studies were good quality cost-effectiveness analyses with an adequate duration of time frame. All the included studies found the DHIs to be cost-effective.
Black Holes in the Light of Field Theory and Quantum Mechanics

The black hole is a region in space where things may fall into it but nothing can come out. We present a study of the physics of a black hole using a quantum field theory frame based on the WZW model in a suitable mathematical frame. Based on the Schwarzschild metric, we show the different regions of our universe with the present singularities. Then we introduce the calculation of a black hole mass using the perturbation theory. We further discuss Hawking radiation and its quantum mechanical implications. At some limits, the space time can represent a black hole with a singularity hidden by the horizon.
The non-translation strategy in translating ISIS radical discourse

This paper examines the contribution of translation to the shaping of ISIS concepts and discourses circulated through its media machine, which includes Dabiq Magazine and the Al-Furqan Foundation. It will explore propaganda strategies used by ISIS to disseminate radical thought through professional digitalized media by drawing on a corpus of texts published in such outlets – including political speeches given by ISIS leaders, as well as online reports, all of which are translated by ISIS’ own translators, the mujtahidun (the industrious ones). A comparative analysis of the original and the translated texts reveals a number of translation strategies that ISIS deploys to construct radicalized knowledge, to serve a violent agenda, and to appeal to a large number of potential foreign fighters. It will be argued that non-translation is a particularly important strategy employed to achieve these objectives. It will also be suggested that Islamic concepts such as Khilāfah, Jamā’ah, Ummah, Hijra, Bay’ah, Da’wah, Jihād, tawāghīt, and other motifs saturated with an ancient Islamic register tend to be left untranslated as a way of reinforcing perceptions of Muslim unity, power, allegiance, and brotherhood against the enemy. The analysis further reveals that particular ideological concepts are left untranslated when ISIS propagandists advocate fighting against the “unbelievers”, arguably in an attempt to galvanize the group’s followers – whether by appealing to their religious fanaticism or by promoting the uncritical reproduction of symbolic discourses grounded in Islamic history. These strategies highlight a need for awareness of the importance of language use in the reproduction of radical systems of thought and the use of (non-)translation for recruitment purposes. This socio-political linguistic study draws on Critical Discourse Analysis – incorporating the work of Fairclough (1995), Gramsci (1971) and Bourdieu (1991) to unravel the connections that exist between language use and the power of ISIS as a group, and to illustrate how specific translation techniques are adopted to reinforce the Caliphate’s hegemony.
Mobile detection of crop diseases for agricultural yield management

In agricultural economies worldwide, plant diseases are a major cause of economic losses. In this paper we propose an automated method for real time crop monitoring and disease detection. Images were captured on a daily basis for a field of 8 acres of land. Image features are extracted using the Speeded-Up Robust Features (SURF) after the Maximally Stable External Regions (MSER) method find blobs. The features are used to classify the images using Kmeans Clustering in the training phase. The ground truth diseased crop images are stored in a database with the same features to act as prototypes and are compared to real time images for disease detection using nearest neighbor classification. The experimental dataset currently consists of rice crop and maize crop with 100 diseased images and approximately 1000 normal crop images. Results show 83.3% accuracy and provide information to farmers about their crop and if required alert them to disease, allowing for corrective action. There is scope to extend the classification and detection method to real-time platforms. Such applications would prove to be a valuable tool for agricultural yield management, especially since the field of interest covered may be very large and the diseases may not be uniformly distributed.
APPLICATION OF THE MULTITHRESHOLD DECODER IN ERASURE CHANNELS

One of the major problems at creation of high-speed digital communication is the correct choice of methods for error correction codes decoding. For today in the coding theory many classes of error-correction codes [1] are known. These codes distinguished from each other by structure, functional purpose, power efficiency, algorithms of decoding and many other parameters. The review [2] of most perspective decoding methods by criterion «efficiency-productivity» has shown, that the greatest preference in high-speed channels of a satellite communication multithreshold decod-ers (MTD) [3, 4] deserve. The given decoders, based on ordinary threshold decoder [5], allow decoding even very long codes with linear implementation complexity. In tens publications on multithreshold decoders efficiency of its application in binary symmetric or gaussian channels is considered. In this article the questions of usage MTD in erasure channels are discussed. The erasure channel is characterized by that, that bits on it are transmitted correctly with probability 1–P E and «erased» with probability P E. Work of MTD in such channel [6] differs from work in the binary symmetric channel that, that at calculation of syndrome symbols (further named checks) the erased information and check bits on value of checks do not influence, but thus for each check the number of erased bits is remembered. Then during decoding erased information bit among checks concerning to it is searched the check containing only one erasure. It is obvious, that this era-sure will be caused with decoding information bit which on value of the given check can be easily recovered. Thus also it is necessary to carry out correction of all checks for recovered information bit and to reduce by unit number of erasures for the same checks. After that pass to decoding of the next bit. If for erased bit is not present any check containing only one erasure this bit is passed and at once transition to decoding the next information bit is carried out. On fig. 1 the bit unrecover performance are shown. Here P E is probability of era-sure bit in channel and P U is probability of unrecover bit. In the given figure curves «MTD (R=5/10, d=11)», «MTD (R=4/10, d=14)», «MTD (R=4/10, d=16)», «MTD (R=3/9, d=19)» correspond to efficiency of multithreshold decoding of block self-orthogonal codes with code rate R and code distance d. The length of the given codes does not surpass 8000 bits. At reception of the submitted dependences about 10 …