IMPLEMENTASI NILAI-NILAI TA’LIM MUTA’ALLIM DALAM MENCEGAH MASUKNYA PAHAM RADIKALISME DI PONDOK PESANTREN

Religion manipulator has become the enemy of us even tthre is no religion can tolerate violence in the name of religion. In fact, when someone wants to oppose a religion, a value of unity has existed, and it is difficult to avoid conflict. This study aims to realize the value contained in the ta'lim muta'allim so students or a boarding school environment is spared from radicalism. As a basic step, schools should be developed into modern boarding schools. First, it helps students understand the importance of values in human life. Second, direct students to always developing and deepening the value. Third, direct the students to be a good role model and responsible. So that boarding schools can increase the awareness of students through more in-depth research on the outside thinking of aqidah and fiqh, thus optimizing in the fight against radicalism and terrorism

Method of Step Detection and Counting Based on Measurements of Magnetic Field Variations

Basic human activity recognition (HAR) and analysis is becoming a key aspect of tracking and identifying daily habits that can have a critical impact on healthy lifestyles by providing feedback on health status and warning of deterioration. However, current approaches for detecting basic activities such as movements or steps rely on solutions with multiple sensors which affect their size and power consumption. In this paper, we propose a novel method that uses only a single magnetic field sensor for basic step detection, unlike the well-known multisensory solutions. The approach presented here is based on real-time analysis of magnetic field sensor measurements to detect and count steps during a walking activity. The approach is implemented in a system that integrates a digital magnetic field sensor with software blocks: filter, steady state detector, extrema detector with classifier, and threshold comparator implemented in an embedded platform. Outdoor experiments with volunteers of different ages and genders walking at variable speeds showed that the proposed detection method achieves up to 98% accuracy in step detection. The obtained results show that a single magnetic field sensor can be used to detect steps, and in general offers the possibility of simplifying the current solutions by reducing the device dimensions, the cost of a system and its power consumption.

Independent States: A Perspective from International Relations

According to the nature of the Westphalian system, the independent state is the central actor in international relations. However, the discipline has not developed theoretical approaches regarding the independence process, which is considered more a concern of the international law and the political interests of state actors. Then, in this article, the issue of independence is analyzed as a basic step for political entities to access statehood, becoming a basisfor understanding the role of the independent state in the Westphalian order. It is necessary to observe the variations in the conception of independence, especially regarding self-determination and recognition principle, acknowledging the existence of deep changes in the international system. This principle has had greater relevance since the 1990s due to the disintegration processes of some countries, particularly the case of Kosovo. Taiwan is also a relevant experience. Another key point is the weakening process of the state, with the appearance of variants that question the status and existence of the state actor. At the end of this paper, a brief reference is made to the Latin and Central American experience, which shows particularities since the 19th century.

Development of Emission Factor Equations for Surface Mining Activities: The Case of the Stacker

In surface mines, various activities (e.g., excavations, loading and unloading of material, moving vehicles on unpaved haul roads, etc.) represent significant sources of fugitive dust. The estimation of dust generation from each individual source is a basic step in planning and implementation decision-making systems regarding the air quality of the surrounding area. Typically, this can be obtained by using emission factor or prediction-type equations. A detailed study was carried out at four surface lignite mines to determine PM emission factors and to develop the prediction-type equations of various surface mining activities. In this work, the data, method and results referring to the stacker, one of and the significant fugitive dust emissions source in mining operations are presented and analyzed.

Scalable Species Tree Inference with External Constraints

Species tree inference under the multi-species coalescent (MSC) model is a basic step in biological discovery. Despite the developments in recent years of methods that are proven statistically consistent and that have high accuracy, large datasets create computational challenges. Although there is gener- ally some information available about the species trees that could be used to speed up the estimation, only one method, ASTRAL-J, a recent development in the ASTRAL family of methods, is able to use this information. Here we describe two new methods, NJst-J and FASTRAL-J, that can estimate the species tree given partial knowledge of the species tree in the form of a non-binary unrooted constraint tree.. We show that both NJst-J and FASTRAL-J are much faster than ASTRAL-J and we prove that all three methods are statistically consistent under the multi-species coalescent model subject to this constraint. Our extensive simulation study shows that both FASTRAL-J and NJst-J provide advantages over ASTRAL-J: both are faster (and NJst-J is particularly fast), and FASTRAL-J is generally at least as accurate as ASTRAL-J. An analysis of the Avian Phylogenomics project dataset with 48 species and 14,446 genes presents additional evidence of the value of FASTRAL-J over ASTRAL-J (and both over ASTRAL), with dramatic reductions in running time (20 hours for default ASTRAL, and minutes or seconds for ASTRAL-J and FASTRAL-J, respectively). Availability: FASTRAL-J and NJst-J are available in open source form at https://github.com/ RuneBlaze/FASTRAL-constrained and https://github.com/RuneBlaze/NJst-constrained. Locations of the datasets used in this study and detailed commands needed to reproduce the study are provided in the supplementary materials at http://tandy.cs.illinois.edu/baqiao-suppl.pdf.

Quantum Vacuum Gravitation Matter-Antimatter Antigravity

Without stating any assumptions or making postulates we show that the electromagnetic quantum vacuum plays a primary role in quantum electrodynamics, particle physics, gravitation and cosmology. Photons are local oscillations of the electromagnetic quantum vacuum field guided by a non-local vector potential wave function. The electron-positron elementary charge emerges naturally from the vacuum field and is related to the photon vector potential. We establish the masse-charge equivalence relation showing that the masses of all particles (leptons, mesons, baryons) and antiparticles have electromagnetic origin. In addition, we deduce that the gravitational constant G is an intrinsic property of the electromagnetic quantum vacuum putting in evidence the electromagnetic nature of gravity. We show that Newton’s gravitational law is equivalent to Coulomb’s electrostatic law. Furthermore, we draw that G is the same for matter and antimatter but gravitational forces could be repulsive between particles and antiparticles because their masses bear naturally opposite signs. The electromagnetic quantum vacuum field may be the natural link between particle physics, quantum electrodynamics, gravitation and cosmology constituting a basic step towards a unified field theory.

Interconnection In the Convergence Era (IP-BASED Interconnection Regulation Challenges)

The IP age of networks and services is increasing very quickly. Starting from its VoIP, NGN, and IMS to today's IP services landscape, which includes fixed and mobile high-definition (HD) voice, HD video calling, unified communications (UC), video conferencing, and telepresence, cooperation, instant messaging (IM), and the rich communication suite (RCS). Convergence is one of the most significant current trends in the ICT sector. It has changed the way services are delivered and obscured the distinction between fixed and mobile services. The transition to Next-Generation Networks (NGN) is the most important next phase in the ICT sector's convergence-driven evolution. In the realms of NGN, VoIP, and IMS, there is no PSTN equivalent; instead, there are "IP islands " that locate the total value of an IP service. The next basic step is to expand the arrive of those services across a totally interconnected cross-network premise in order to maximize their overall esteem among their target audiences. The liberalization of infrastructure services depends on managing the interconnection interface between the competitive and regulated sectors. These paper outlines regulation issues raised by IP-based interconnection and examine the current practices and procedural ways that being developed to address these concerns.

Integrating Multivariate (GeoDetector) and Bivariate (IV) Statistics for Hybrid Landslide Susceptibility Modeling: A Case of the Vicinity of Pinios Artificial Lake, Ilia, Greece

Over the last few years, landslides have occurred more and more frequently worldwide, causing severe effects on both natural and human environments. Given that landslide susceptibility (LS) assessments and mapping can spatially determine the potential for landslides in a region, it constitutes a basic step in effective risk management and disaster response. Nowadays, several LS models are available, with each one having its advantages and disadvantages. In order to enhance the benefits and overcome the weaknesses of individual modeling, the present study proposes a hybrid LS model based on the integration of two different statistical analysis models, the multivariate Geographical Detector (GeoDetector) and the bivariate information value (IV). In a GIS-based framework, the hybrid model named GeoDIV was tested to generate a reliable LS map for the vicinity of the Pinios artificial lake (Ilia, Greece), a Greek wetland. A landslide inventory of 60 past landslides and 14 conditioning (morphological, hydro-lithological and anthropogenic) factors was prepared to compose the spatial database. An LS map was derived from the GeoDIV model, presenting the different zones of potential landslides (probability) for the study area. This map was then validated by success and prediction rates—which translate to the accuracy and prediction ability of the model, respectively. The findings confirmed that hybrid modeling can outperform individual modeling, as the proposed GeoDIV model presented better validation results than the IV model.

Towards a New Approach for Intelligent BPM Based on Technologies 4.0

Traditional Business Process Management (BPM) should take advantage from the innovations brought by technologies such as Social Media, Internet of Things, Big Data Analytics, Artificial Intelligence, Blockchain, Augmented Reality, Additive Manufacturing, etc. This leads to the emergence of Intelligent BPM (iBPM) which consists of adding smart technologies and business intelligence to BPM. Selecting the most appropriate and adequate technologies is a complex task in such a harsh environment. Thereby, we propose an approach for selecting the most suitable technologies 4.0 in order to improve business processes effectively in this context of iBPM. For this purpose, it is worth noting that considering performance criteria can help us to integrate a specific intelligent technology to a given business process and it is important to develop an iBPM ontology as a basic step of our approach.