Miracle-dz/UniFAR-FTUs huggingface dataset:
Inductorless, Widely Tunable N-Path Shekel Circulators Based on Harmonic Engineering

Recently demonstrated non-magnetic circulators rely on the interference between a linear periodically time-varying nonreciprocal gyrator and reciprocal passive microwave circuits, which limits their form factor and tunability. In this work, a new class of widely tunable non-magnetic inductorless nonreciprocal circulators based on harmonic engineering is introduced. LPTV circuits rely on modulating the input signal with a square-wave clock that contains multiple harmonics. The introduced harmonic engineering concept controls the response of the circuit to various harmonics of the clock waveform, the superposition of which results in the desired functionality. Two miniaturized <inline-formula> <tex-math notation="LaTeX">$N$ </tex-math></inline-formula>-path Shekel circulators have been implemented in 65-nm CMOS. The first prototype, which uses a four-path structure operating in the large-<inline-formula> <tex-math notation="LaTeX">$RC$ </tex-math></inline-formula>-regime, can be reconfigured for operation across 0.1–1.1 GHz with losses ranging from 2.5 to 3.4 dB. It has a form factor of <inline-formula> <tex-math notation="LaTeX">$({\lambda ^{2}}/({2\times 10^{6}}))$ </tex-math></inline-formula> at 500 MHz, with a power consumption of 3–21 mW. The second prototype uses an eight-path structure and operates in the low-<inline-formula> <tex-math notation="LaTeX">$RC$ </tex-math></inline-formula>-regime with a tuning range of 0.28–1.15 GHz and losses of 2.3–3.3 dB and achieves more than 20-dB isolation across a 233-MHz BW (38%) within a <inline-formula> <tex-math notation="LaTeX">$({\lambda ^{2}}/({1.5\times 10^{6}}))$ </tex-math></inline-formula> form factor at 600 MHz consuming 26–67 mW of power. To date, this work has the smallest form factor reported among the state of the art.
Multicast at Edge: An Edge Network Architecture for Service-Less Crowdsourced Live Video Multicast

Using smartphones, tablets, and other portable/handheld devices, we have become more reliant on the video streaming services for entertainment and remote work. Mobile data traffic has grown eighteen folds over the past five years accounting for the majority of IP traffic. YouTube Live, Facebook Live, Twitch, DouYu and other streaming as well as video conferencing services have increased in popularity so at any given moment they serve thousands of live video streams to millions of users. The Enhanced Multimedia Broadcast Multimedia Service (eMBMS) is the standard multicast protocol for 5G networks. Cellular multicast has gained considerable attention to efficiently utilize the limited spectrum to transmit multimedia content to cellular sites with co-located viewers, lowering the cost, and maximizing the Quality of Experience (QoE). However, popular live video content providers use unicast mode for live video delivery and have limited support in the eMBMS service-oriented network architecture. In this paper, we propose an overlay network architecture to augment eMBMS to address the limitations of the standard eMBMS architecture and enable service-less multicast for crowdsourced live video providers. We propose a Virtual Network Function (VNF) service that identifies potential multicast scenarios based on user requests for a live video within a confined area. The VNF Application Server collects information, validates a potential multicast scenario, and initiates an ad-hoc multicast service on the fly. We use a real-world dataset of Facebook Live videos to evaluate the proposed architecture. The simulation results depict considerable advantages in terms of cost, efficiency, and Quality of Experience (QoE). Our results show that the proposed architecture provides significant benefits in bandwidth saving at the backhaul, transit, and RAN links.
STICKINESS IN TAWHIDIC-BASED BUSINESS POLICY FORMULATION FOR SUSTAINABLE COMPETITIVE ADVANTAGE

Stickiness represents difficulties and challenges in any process, procedure, action and decision-making contexts. Tawhidic paradigm refers to Islamic worldview that manifests Qur’anic and Hadith influence in thought, decisions and actions. Business policy formulation reflects planning, actions and decisions of the company’s direction and strategy that generate profit and sustain competitive advantage. Tawhidic-based business policy formulation postulates sustainable competitive advantage through long term relationships with the stakeholders and beyond. Trust, integrity, consistency, have contributed to sources of competitive advantage on long term and beyond. This study argues that stickiness in the forms of old business practice, sentiments of relationship, management preferences, and management inflexibility hampered the Tawhidic-based business policy for sustainable competitive advantage. This study solicits the views of a group of 10 entrepreneurs who attended their regular meeting. The study uses manual note taking approach to record the data. The respondents argued that the shari’ah-based companies are practicing transactions and business dealings in line with the Shari’ah guidelines. The terms Tawhidic paradigm is not well known to the practitioners and other stakeholders. The results of the study contribute to the theory of the firm, sustainable competitive advantage and policy making. This study suggests the future research should use case study method to examine each entrepreneur with their enterprises. Keyword: Stickiness, Tawhidic paradigm, Business policy
Real-Time Sentimental Analysis Using Product Reviews

Opinion Analysis is a significant component in Artificial Intelligence. Regular Language Processing (NLP) is a field of Artificial Intelligence that manages understanding and improving the associations among people and machines. One of the significant components of NLP is Sentiment Analysis. As the name proposes, it incorporates separating the hidden supposition of a given word, sentence, passage or even enormous segment of text, for example, an article. Like human correspondence, much of the time slant grouping is done into two classes: positive and negative, or at times into three classes with an extra impartial class. With the appearance of web innovation, client produced printed surveys are getting progressively amassed on numerous web based business sites. These audits contain not just the client remarks on various parts of the items yet additionally the client assumptions related with the viewpoints. Composed client survey is a rich wellspring of data that can offer bits of knowledge into the recommender framework. Notwithstanding, managing the client input in text design, as unstructured information, is testing. In this exploration, we remove those highlights from client surveys and use them for likeness assessment of the clients and at last in suggestion age. In this task, we proposed a profound neural system way to deal with join client audits in creating recommender frameworks.
The Influence of Board Ownership on Bank Performance: Evidence from Saudi Arabia

The current study aims to investigate the influence of different categories of ownership held by different types of board members on bank performance. The study uses a sample of Saudi listed banks for the period from 2011 to 2018. The results of the panel data analysis using firm fixed-effects regression model indicate that bank performance is significantly and positively affected by the chairman ownership and the CEO ownership. However, board independent members’ ownership has a negative influence on bank performance. While non-executive board members’ ownership and family board members have an insignificant impact on bank performance. Control variables, including board size, non-executive board members, government ownership, leverage, and bank size are significantly associated with bank performance. Overall, the results indicate that Saudi bank performance is higher in smaller banks that have smaller boards with lower non-executive members, lower portion of shares held by independent board members, higher portion of shares held by the chairman, CEO, and government, and higher leverage. The results of this study provide important implications for regulatory authorities and market participants in Saudi Arabia and countries with ownership concentration to understand the actual role of different categories of board ownership on firm performance in addition to optimize board ownership.
Challenges in building barcode reference libraries for marine invertebrates exemplified by the genus Prionospio (Annelida: Spionidae)

The completeness of reference libraries is often a limiting factor in the effectiveness of biomonitoring using molecular tools. The fact that these libraries are often built upon Sanger sequencing can create a substantial bias due to poor primer fits and unoptimized lab protocols. Some taxa of marine macroinvertebrates are known to be notoriously difficult to sequence using traditional, PCR-based means, and only about 15% of the known bioindicator species world-wide have publicly available sequences for any genetic marker (Aylagas et al. 2014). The Barcode of Life Data System (BOLD) indicates an amplification rate between 46% and 85% of the barcode region of COI for the most commonly used marine invertebrates that indicate pollution in the North East Atlantic (Capitellidae, Cirratulidae, Dorvilleidae, Spionidae and Tubificidae within Annelida, and Thyasiridae within Mollusca). A currently on-going integrative taxonomic study on Prionospio Malmgren, 1867 (Spionidae, Annelida) exemplifies the extensive issues of utilizing Sanger sequencing on marine invertebrates. The barcode region of COI was attempted amplified using five primer pairs: three designed to be universal for marine invertebrates (Folmer et al. 1994, Geller et al. 2013, Lobo et al. 2013), one specialized on polychaetes (Carr et al. 2011) and one self-designed. In addition, two DNA polymerases were tested (TaKaRa Ex Taq HS and Qiagen HotStarTaq) and three annealing temperatures. Only five sequences of COI were ‡,§ ‡ ‡ © Hektoen M et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. obtained from a total of 255 PCR reactions (2% success rate). Other genetic markers showed better amplification rates: 58% for 16S rDNA, and more than 90% success rates for 28S rDNA and Histone H3. This illustrates the importance of having more than one marker in mind when seeking to complete reference libraries, and the potential effectiveness of a multi-marker approach in molecular biomonitoring surveys. As sequencing costs decrease, utilizing shallow shotgun-based sequencing (genome skimming) on problematic groups such as Prionospio to bypass issues regarding unfit primers is also becoming a viable option.
Religious Authorities, Peace, and Political Conflict : Assessing the Impacts of Pope John Paul II’s International Travels

This work was supported by the doctoral funding program 'innovation' of the Directorate General for International Relations and Strategy (DGRIS) and the Agence Nationale de la Recherche of the French government through the program ‘Investissements d’avenir’ (ANR‐10‐LABX‐14‐01). Abstract Between 1978 and 2005, Pope John Paul II traveled to 102 developing countries with the aim, inter alia, of promoting interreligious peace to populations and policy makers. Despite an increasing involvement of religious leaders in peace‐building activities, concerns rise on the propensity of religious issues to be locally exploited for political interests. This article examines the dynamic effects of John Paul II travels on the risk of political conflict in host countries depending on their religious demography. Our empirical strategy combines the development of a political conflict risk index, an impact assessment methodology, and the estimation of local projections. Our results show that the travels of John Paul II reduce the risk of conflict in host countries over a 4‐year horizon, particularly when the proportion of Catholics is low. We also observe a temporary rise in the risk of conflict for religiously polarized countries.
Interactive Bike Lane Planning using Sharing Bikes#x26;#x0027; Trajectories

Cycling as a green transportation mode has been promoted by many governments all over the world. As a result, constructing effective bike lanes has become a crucial task to promote the cycling life style, as well-planned bike lanes can reduce traffic congestions and safety risks. Unfortunately, existing trajectory mining approaches for bike lane planning do not consider one or more key realistic government constraints: 1) budget limitations, 2) construction convenience, and 3) bike lane utilization. In this paper, we propose a data-driven approach to develop bike lane construction plans based on the large-scale real world bike trajectory data collected from Mobike, a station-less bike sharing system. We enforce these constraints to formulate our problem and introduce a flexible objective function to tune the benefit between coverage of users and the length of their trajectories. We prove the NP-hardness of the problem and propose greedy-based heuristics to address it. To improve the efficiency of the bike lane planning system for the urban planner, we propose a novel trajectory indexing structure and deploy the system based on a parallel computing framework (Storm) to improve the system’s efficiency. Finally, extensive experiments and case studies are provided to demonstrate the system efficiency and effectiveness.
Rethinking Social Action. Core Values in Practice Correctness of Syllogistic Reasoning

The syllogistic inferences with cognitive statements are formal structures of thinking researched even from the Greek antiquity and make the subject of logics. The research of the modalities in which ordinary people reason in syllogistic structures is of a much more recent date, since the last century, and make the object of cognitive psychology. Our empirical study aims to investigate the correctness of thinking in various schemes of syllogistic reasoning. For this purpose we applied a set of four questionnaires, comprising 16 syllogisms each, of which 8 with affirmative conclusion and 8 with negative conclusion; 8 modes with universal conclusion, 8 modes with particular conclusion; each questionnaire includes four modes of each syllogistic figure. The first questionnaire contains complete syllogisms in formal expression, which the respondent must evaluate in terms of correctness. The second questionnaire contains the same premises as the first one, but the subjects are required to draw the proper conclusion themselves. Questionnaires 3 and 4 are analogous to the first two, except that this time syllogisms are formulated in natural language. Statistical processing involved comparing the number of correct answers in relation to the variables studied – syllogistic figure, valid/invalid syllogistic mode, affirmative/negative, universal/particular conclusion. The research was replied having been obtained similar results.
Smart UV Derivative Spectrophotometric Methods for Simultaneous Determination of Metformin and Remogliflozin: Development, Validation and Application to the Formulation

Background: The result of pharmaceutical industry research for the new class and the new combination of drugs for the treatments of diabetes is the newly approved combination of metformin (MET) and remogliflozin (REM). For the quality control of this formulation, three smart, reproducible and non-sophisticated spectroscopic techniques were developed by modification of UV spectra. Materials and Methods: The first two methods were based on the measurements of the peak height of the third derivative and second derivative ratio spectra of MET and REM and the third method was the constant center spectrum subtraction method. Results: The proposed methods exhibited Beer’s law in the range of 2.5 to 30 μg/ml and 1 to 24 μg/ml for MET and REM correspondingly by all three methods. The mean percentage recovery was found to be in the range of 99.08% to 100.15% for MET and 98.73% to 100.27% for REM. Further, both analytes were quantified from the formulation using proposed spectroscopic methods with high accuracy. Comparison of all three methods with the reported HPLC method showed no variation in the assay outcomes in relation to accuracy and precision. Conclusion: The suggested techniques are simple, accurate and reproducible, hence could be used for regular quality control of formulation consisting of MET and REM.
The Effect of Product Knowledge and Service Quality on Customer Satisfaction

Small and Medium Enterprises (SMEs) is one of several activators that drives the economy of Indonesia because SMEs provide jobs, increase Gross Domestic Product (GDP), and assure the delivery of products and services. However, Indonesian SMEs are not very competitive in the industrial world, and one of the causes is the low quality of products that undermine customer satisfaction. There are several factors presumed as influencing customer satisfaction, which among others include product knowledge, service quality, and competitive advantage. The objective of this research is to reveal the contribution of product knowledge and service quality to customer satisfaction with competitive advantage as the mediation variable. This research used a quantitative approach. The causal relationship across variables was examined with Structural Equation Modeling-Partial Least Squares (SEM-PLS). The sample of this research involved 140 respondents. Data was collected through a questionnaire and the items in the questionnaire were processed with a software called SmartPLS version 3.3. 2. Results of this research indicate (1) product knowledge and service quality can increase competitive advantage and customer satisfaction in East Java SMEs; (2) competitive advantage can act as a mediator in the effect of service quality on customer satisfaction (3) product knowledge can increase customer satisfaction but the increase is not significant statistically.
Biomechanical Motion Analysis of Elite Flat Water Kayakers with Special Focus on Footrest

The purpose of this study was to gain a better understanding of the importance of footrest use and the symmetry of kayaking motions. Method: Measurements were performed on 11 professional male Hungarian kayakers (n = 11), with a mean age of 24 years (range: 18–30 years), a mean height of 184, 5 cm (range: 172–197 cm), and a mean weight of 84 kg (72–96 kg). Weba sport kayak ergometer, Vicon MXT 3D camera system and surface electromyography were used for the measurements. The unique part of the study was the dynamometer, built into the footrest of the ergometer. The right and left sides differed significantly in terms of range of motion in the joints and activity of the muscles involved. Statistically significant differences were observed in the force applied to the footrest between the right and left sides. There were significant differences between the right and left stroke lengths in most athletes. There was a positive correlation between force applied to the footrest, the stroke length and the kayakers’ power output. Our study identified differences and correlations between the parameters of kayaking motion, highlighting the importance of the footrest. Better and more precise footrest use allows correct technique to be applied with high performance.
HealthDashboard: A Urban Public Health Geospatial Visualization Platform

Public healthcare systems generate large amounts of heterogeneous data that can provide valuable insights to inform public policy design. However, extracting relevant information from extensive heterogeneous datasets might be challenging. To address this problem, in a government-academia collaboration, we are developing an interactive visual dashboard for large-scale data analysis based on the Brazilian National Health System (SUS) hospitalization data. Its software architecture enables integration with the Hospital Information System (SIH-SUS) datasets from any region of Brazil so that health professionals can use it in hundreds of different cities. We defined an architecture that tames code complexity and brings modularity to the system. The platform processes SIH-SUS data and stores it into a geolocated relational database. Expert users can then perform advanced queries on the data with composite filters. Results are then displayed via multiple map visualizations, graphs, and tables. We expect that this open-source platform will become a useful tool for science-based public health policymaking, influencing Brazilian public managers in the future to adopt an evidence-based, data-driven approach to healthcare management.
Developing a Jass AI Server

To evaluate various self-play reinforcement learning agents in the domain of Jass, we have built a web application in which players can compete against each other and the Artiﬁcial Intelligence. Since the outcome of a stochastic trick-taking game such as Jass depends on the distribution of the cards, we propose a new game mode which eliminates the luck factor and provides a fair game dynamic. Analysing those fair games enables us to compare diﬀerent agents with human players under equal conditions. Our results show one agent playing on a par with human Jass players, frequently even outperforming them. Furthermore, we demonstrate the fairness of the new game mode by showing that fair games are more balanced than regular Jass games and thus lead to a more competitive game environment.
Hydrogen and Oxygen Isotope Characteristics
of Water and the Recharge Sources in Subalpine
of Qilian Mountains, China

in order to explore the characteristics of hydrogen-oxygen isotopes and ecological hydrological processes in different water bodies in the subalpine zone of Qilian Mountains, China, precipitation, soil water, plant water, groundwater and river water samples were collected from the subalpine of the Eastern of Qilian Mountains section from July to August in 2015. Qualitative analysis was used in hydrogen and oxygen isotope characteristics of different water bodies. Then, the mixing model of MixSiAR based on Bayesian theory was used to quantify the water absorption depth of shrub plant and the proportion of water source replenishment between different water bodies. The purpose is to illustrate the water migration relationship between water bodies, thereby to clarify the ecological hydrological process in the subalpine shrub area of Eastern Qilian Mountains. Results indicate that: (1) The isotopic values of various water bodies in the study area are affected by changes in the amount of precipitation, but precipitation has a smaller impact on river water. (2) Soil water of 0~20 cm is affected easily by precipitation and evaporation, while soil water of 60~80 cm is affected strongly by groundwater. (3) The water content of shrub plant in study area is mainly derived from precipitation and soil water under 0~20 cm. (4) Although the direct influence on the values of δ18O in groundwater and river water by precipitation is not obvious and their variation ranges are small, there are different degrees of response to precipitation, and river water responds faster to precipitation than groundwater.