Conductivity of higher dimensional holographic superconductors with nonlinear electrodynamics

We investigate analytically as well as numerically the properties of s-wave holographic superconductors in $d$-dimensional spacetime and in the presence of Logarithmic nonlinear electrodynamics. We study three aspects of these kind of superconductors. First, we obtain, by employing analytical Sturm-Liouville method as well as numerical shooting method, the relation between critical temperature and charge density, $\rho$, and disclose the effects of both nonlinear parameter $b$ and the dimensions of spacetime, $d$, on the critical temperature $T_c$. We find that in each dimension, $T_c/{\rho}^{1/(d-2)}$ decreases with increasing the nonlinear parameter $b$ while it increases with increasing the dimension of spacetime for a fixed value of $b$. Then, we calculate the condensation value and critical exponent of the system analytically and numerically and observe that in each dimension, the condensation get larger with increasing the nonlinear parameter $b$. Besides, for a fixed value of $b$, it increases with increasing the spacetime dimension. We confirm that the results obtained from our analytical method are in agreement with the results obtained from numerical shooting method. This fact may support the correctness of our analytical method. Finally, we explore the holographic conductivity of this system and find out that the superconducting gap increases with increasing either the nonlinear parameter or the spacetime dimension.Comment: 25 page

Fuzzy transfer learning in human activity recognition.

Assisted living environments are incorporated with different technological solutions to improve the quality of life and well-being. In recent years, there has been a growing interest in the research community on how to develop evolving solutions to aid assisted living. Different techniques have been studied to address the need for technological systems which are intelligent enough to evolve their knowledge to solve tasks which have not been previously encountered. One such approach is Transfer Learning (TL), for example, between humans and robots. Humans excel at dealing with everyday activities, learning and adapting to different activities. This comprises different complex techniques which enable the lifelong learning process from observation of our environment. To obtain similar learning in assistive agents, TL is needed. The aim of the research reported in this thesis is to address the challenge associated with learning and reuse of knowledge by assistive agents in an Ambient Assisted Living (AAL) environment. In this thesis, a novel approach to transfer learning of human activities through the combination of three methods; TL, Fuzzy Systems (FS) and Human Activity Recognition (HAR) is presented. Through the incorporation of FS into the proposed approach, uncertainty that is evident in the dynamic nature of human activities are embedded into the learning model. This research is focused on applications in assistive robotics. This is with a purpose of enabling assistive robots in AAL environments to acquire knowledge of such activities as are performed by humans. To achieve this, an extensive investigation into existing learning methods applied in human activities is conducted. The investigation encompasses current state-of-the-art of TL approaches employed in skill transfer across different but contextually related activities. To address the research questions identified in the thesis, the contributions of the methodology employed are in three main categories; 1) Firstly, a novel framework for human activity learning from information observed. Experiments are conducted on selected human activities to acquire enough information for building the framework. From the acquired information, relevant features extracted are used in a learning model to recognise different activities. 2) Secondly, the sequence of occurrence(s) of tasks in an activity needs to be considered in the learning process. Therefore, in this research, a novel technique for adaptive learning of activity sequences from acquired information is developed. 3) Finally, from the sequence obtained, a novel technique for transfer of human activity across heterogeneous feature space existing between a human and an assistive robot is developed. These categories form the basis of the TL framework modelled in this research. The framework proposed is applied to TL of human activity from data generated experimentally and benchmark datasets of various classes of human activities. The results presented in this thesis show that exploring the process of human activity learning is an important aspect in the TL framework. The features extracted sufficiently distinguish relevant patterns for each activity. Also, the results demonstrate the ability of the methodology to learn and predict human actions with a high degree of certainty. This encourages the use of TL in assisted living environments and other applications. This and many more applications of TL in technology would be a potential driver of the next revolution in artificial intelligence

Supervisi Akademik Dalam Upaya Peningkatan Motivasi Guru Menyusun Perangkat Persiapan Pembelajaran

This study aims to determine the effect of academic supervision on increasing teacher motivation in preparing learning preparation tools. The study was designed in 3 cycles, each of which consisted of planning, implementing, observing, reflecting and revising. The action taken is supervision followed by billing commitments and guidance. Data collection methods used were observation and interviews. Meanwhile, the data analysis method used is descriptive-comparative method. The results of the study, quantitatively, show an increase in teacher motivation in compiling syllabus and lesson plans from cycle 1, cycle 2 and cycle 3. In cycle 2, this is also the case in cycle 3. Based on the data on the results of the action from cycle to cycle, there appears to be a change or development of cycle 1 to cycle 2, and from cycle 2 to cycle 3. If in cycle 1, the number of teachers who submitted syllabus documents was 3 people or 37.5 percent, then in cycle 2, the number of teachers who had submitted documents increased by 1 person so that to 4 teachers or 50 percent. Furthermore, in cycle 3 the number of teachers who submitted documents increased by 2 people, so that the total number of teachers who had submitted documents up to cycle 3 became 6 people or 83.3 percent

“Computer Says No!”: The Impact of Automation on the Discretionary Power of Public Officers

The goal of this Article is to unpack the “human in the loop” requirement in the process of automation. It will analyze the impact of automation on street-level bureaucrats and lay out the steps policy makers need to take into account to ensure that meaningful human discretion is maintained. This issue is examined by comparing two algorithms related to the use of automation to detect and investigate fraud in welfare benefits. The first algorithm is used by Michigan’s Unemployment Insurance Agency for detecting and investigating unemployment fraud. This is a draconian algorithm with the ability to automatically decide to cut an individual’s benefits and collect debts. The second algorithm is used in the Netherlands by the Ministry of Social Affairs and Employment to detect different types of welfare fraud. It aids human fraud examiners and it automates only the process of data collection and analysis. This Article concludes that both algorithms could do more to maintain meaningful discretion. In Michigan, automation has left little room for street-level bureaucrats to apply discretion. Thus, this Article suggests that the algorithm be limited to a few segments of the unemployment fraud detection and investigation process. In contrast, the Netherlands’ algorithm allows street-level bureaucrats greater discretion. This discretion is also more meaningful because the human in the loop has a well-defined decision-making role. However, since the algorithm is the de facto authority on who will be investigated, more steps should be taken to ensure that key decisions are overseen by humans. It is important to note that the lack of human agency was only one reason for the failures of the algorithms. Poor technical design and the sociopolitical context that the algorithms operated in were also responsible. The failures stemming from all three reasons are further explored in this Article. Although these cases demonstrate the importance of keeping a human in the loop in an automated process, questions such as what the role of the human should be and how to design the human-algorithm interaction have not received sufficient attention in academic literature. This Article sheds light on these issues

Assessment of Factors Associated with Obesity among Gaza Secondary Schools’ Female Students in Palestine

Globally, obesity has increased among children, adolescents, and adults. At least 2.8 million people die each year worldwide as a result of being overweight or obese; mortality rates have shown to be proportional to the degree of obesity. Younger age groups are affected as demonstrated in nearly one-third of American college students who are overweight or obese. According to the WHO, 30–80% of adults and about 20% of children and adolescents in Europe are overweight. The situation in Asia is better; this is shown in the lower prevalence of obesity in Thailand and China. With obesity becoming an overwhelming global public health issue, there are a multitude of obesity-associated diseases, such as heart disease, diabetes, hypertension, and certain cancers. Although obesity in adolescence is less prominently associated with morbidity, it is nevertheless a strong precursor of obesity and related morbidity in adulthood. Adolescence has been identified as a critical period in the development of overweight/obesity patterns, with the transition to college being another potentially important period of risk for weight increase among young adults. Individual behaviors and environmental factors can contribute to excess caloric intake and inadequate amounts of physical activity. The current high rates of obesity have been attributed to, in part, increased snacking and eating away from home, larger portion sizes, greater exposure to food advertising, limited access to physical activity opportunities, and labor-saving technological advances (Duffey & Popkin, 2011; Piernas & Popkin, 2011; Powell et al., 2011;Sallis &; Glanz, 2009). Childhood and adolescent obesity have increased substantially in the past two decades raising concerns about the physical and psychosocial consequences of childhood obesity. In Palestine, the prevalence of obesity has been increasing for decades for both males and females in all age groups. It is about 18% in adult males and 26% in adult females

Progettazione integrata sostenibile nella riqualificazione dell'area estrattiva di Caldaccoli in San Giuliano Terme. Centro negozi e albergo-ristorante

Oggetto della tesi è la riqualificazione dell'area estrattiva di Caldaccoli in San Giuliano Terme, mediante la risistemzaione dei piazzali di cava, e il recupero di alcuni degli edifici annessi all'attività di cava, attualmente in disuso, da destinare a centro negozi e albergo-ristorant

Efektifitas Penerapan Pembimbingan Kelompok Dalam Upaya Meningkatkan Kompetensi Guru Rayon SMP Negeri Ekoae Dalam Penyusunan Proposal PTK

preparing CAR proposals that are useful for teachers in increasing teacher professionalism This study aims to determine the extent to which the effectiveness of the application of group guidance in an effort to improve the competence of district teachers of SMP Negeri Ekoae in in daily tasks. This School Action Research (PTS) consists of two cycles, where in each cycle there are four stages, namely planning, implementation, observation and reflection. The success indicator in this study is the Competence of the District Teachers of SMP Negeri Ekoae: if > 10% of the total coaching participants have obtained an average score of 85.00. The results of the School Action Research (PTS) in cycle II obtained the following data; 1) supervisor observation (4.22), 2) teacher observation (4.14), 3) classical work results (84.02). The success indicator has been exceeded. The School Action Research (PTS) was declared successful, and the research was stopped in cycle II. Group guidance was very effective in improving the competence of the district teachers of SMP Negeri Ekoae in preparing CAR proposals because 90 percent of the total participants were 35 (thirty five) teachers have succeeded in compiling CAR proposals as expected. It is recommended that peer school principals carry out mentoring activities for teachers who are their responsibility in an effort to increase competence in sustainable professional development activities (PKB)

EXPRESSIONS OF THE GENTLE, ELEGANT, AND HOSPITABLE STYLE OF DALAT PEOPLE

This study aims to analyze expressions of the gentle, elegant, and hospitable style of Dalat people and to clarify the differences and relationships between demographic factors and assessments of style. The research methods in this study include a survey of 1246 residents and travelers, 12 interviews, and 2 focus group discussions. The results show that a gentle style is the most prominent characteristic of Dalat people. The results also show that where people live before coming to Dalat and their length of time in Dalat influence their assessment of the style of Dalat people. Additionally, the study revealed that gender and education level influence evaluations of the style of Dalat people.This study aims to analyze expressions of the gentle, elegant, and hospitable style of Dalat people and to clarify the differences and relationships between demographic factors and assessments of style. The research methods in this study include a survey of 1246 residents and travelers, 12 interviews, and 2 focus group discussions. The results show that a gentle style is the most prominent characteristic of Dalat people. The results also show that where people live before coming to Dalat and their length of time in Dalat influence their assessment of the style of Dalat people. Additionally, the study revealed that gender and education level influence evaluations of the style of Dalat people

IDENTIFIKASI KERUSAKAN DAN PENANGANAN JALAN (STUDI KASUS JALAN KUALA KURUN -TEWAH, KABUPATEN GUNUNG MAS)

Pertumbuhan kendaraan yang begitu cepat berdampak pada kepadatan lalu lintas, baik di jalan dalam kota maupun luar kota, sehingga perlu adanya peningkatan kualitas dan kuantitas infrastruktur jalan. Salah satu permasalahan pada jalan yang sering menjadi kerusakan minor pada perkerasan selain itu, temperatur, kelembaban, dan gerakan tanah dasar dapat pula menyebabkan kerusakan pada perkerasan. Tujuan penelitian ini adalah menganalisis jenis kerusakan yang terjadi, menganalisis nilai kondisi jalan, dan menganalisis jenis kerusakan jalan berdasarkan urutan prioritas (UP), dari (STA 0+050 – STA 15+000) Sepanjang 15 Kilometer Ruas Jalan Kurun – Tewah, Kabupaten Gunung Mas Provinsi Kalimantan Tengah. Metode yang digunakan untuk menganalisis kerusakan jalan pada penelitian ini adalah Metode Bina Marga 1990. Berdasarkan penelitian yang dilakukan dilapangan didapatkan hasil perhitungan LHR sebesar 458,18 smp/hari dengan kelas lalu lintas 3, jenis kerusakan yang terjadi, retak acak sebesar 50,7 m², retak buaya 354,81 m², retak memanjang 78,77 m², alur 33,32 m², kekasaran permukaan 217,80 m², tambalan dan lubang 166,16 m², amblas 81,60 m², total seluruh kerusakan yang terjadi adalah sebesar 983,3 m², dengan presentase 6,5 % dari luas jalan, nilai kondisi jalan sebesar 2,1 dan didapat hasil perhitungan urutan prioritas untuk menentukan pemeliharaan yaitu 11,9 dengan pemeliharaan rutin