bluuebunny/crossref_metadata_2025 huggingface dataset:
An Evaluation of the Impact of Barcode Patient and Medication Scanning on Nursing Workflow at a UK Teaching Hospital
Authors: Barakat Sara , Franklin Bryony Dean
Published: August 2020

Barcode medication administration (BCMA) is advocated as a technology that reduces medication errors relating to incorrect patient identity, drug or dose. Little is known, however, about the impact it has on nursing workflow. Our aim was to investigate the impact of BCMA on nursing activity and workflow. A comparative study was conducted on two similar surgical wards within an acute UK hospital. We observed nurses during drug rounds on a non-BCMA ward and a BCMA ward. Data were collected on drug round duration, timeliness of medication administration, patient identification, medication verification and general workflow patterns. BCMA appears not to alter drug round duration, although it may reduce the administration time per dose. Workflow was more streamlined, with less use of the medicines room. The rate of patient identification increased from 74% (of 47) patients to 100% (of 43), with 95% of 255 scannable medication doses verified using the system. This study suggests that BCMA does not affect drug round duration; further research is required to determine the impact it has on timeliness of medication administration. There was reduced variability in the medication administration workflow of nurses, along with an increased patient identification rate and high medication scan rate, representing potential benefits to patient safety.
Zein/Bioactive Glass Coatings with Controlled Degradation of Magnesium under Physiological Conditions: Designed for Orthopedic Implants
Authors: Ur Rehman Muhammad Atiq
Published: August 2020

Magnesium and its alloys are widely considered as temporary bio-implants owing to their mechanical properties and biocompatibility. However, the high corrosion rates and degradation in the physiological environment restrict the practical application of Mg as a biomedical device. Therefore, in this study, Zein/45S5 bioactive glass (BG) coatings were deposited via electrophoretic deposition (EPD) on pretreated pure magnesium (Mg) substrates, which controls the rapid degradation of magnesium. The set of EPD parameters was first optimized on stainless steel (SS) and then the optimum EPD parameters were applied to obtain zein/BG composite coatings on Mg substrates. The morphology of the obtained coatings was studied by scanning electron microscopy (SEM). SEM results showed that both zein and BG were successfully deposited on the surface of the Mg substrate. Electrochemical measurements consisting of open circuit potential (OCP), electrochemical impedance spectroscopy (EIS), and potentiodynamic polarization confirmed that the corrosion resistance of Mg improved after the deposition of zein/BG coatings. The in-vitro bioactivity study was carried out by immersing the zein/BG coatings in simulated body fluid for 3, 7, and 21 days. SEM, energy dispersive X-ray spectroscopy (EDX), and Fourier transform infrared spectroscopy results elucidated that the hydroxyapatite layer developed after 21 days of immersion in SBF, which confirmed the bone binding ability of the coatings.
Enhancement of Diversity in Production and Application Utilizing Electrolytically Polymerized Rubber Sensors with MCF: 1st Report on Consummate Fabrication Combining Varied Kinds of Constituents with Porous Permeant Stocking-Like Rubber
Authors: Shimada Kunio , Ikeda Ryo , Kikura Hiroshige , Takahashi Hideharu
Published: August 2020

To satisfy the requirement of haptic sensibility in rubber such as in the proposed hybrid skin (H-Skin), the authors have demonstrated a new method for solidifying rubber using electrolytic polymerization together with configured magnetic clusters of magnetic compound fluid (MCF) incorporated into the rubber by the application of a magnetic field. However, the rubber and magnetic fluid (MF) involved in the MCF rubber were water-soluble. In addition, the authors have demonstrated the practicability of using electrolytic polymerization with an emulsifier, polyvinyl alcohol (PVA), in which natural rubber (NR) or chloroprene rubber (CR) and silicone rubber (Q) can be mixed as water-soluble and water-insoluble rubbers, respectively. In this study, to enhance production, the feasibility of solidifying rubber by electrolytic polymerization is verified using varied water-insoluble rubber, varied water-insoluble MF, and varied surfactants to aid emulsion polymerization, except in the case of other kinds of rubber and MF which have been demonstrated until recent by the authors. Based on these diverse constituents, the authors propose a consummate fabrication process for multi-layered MCF rubber, which involves porous stocking-like rubber that can be permeated by any liquid. The investigation of this application is presented in the sequential second report.
Validation of Fabric-Based Thigh-Wearable EMG Sensors and Oximetry for Monitoring Quadriceps Activity during Strength and Endurance Exercises
Authors: Di Giminiani Riccardo , Cardinale Marco , Ferrari Marco , Quaresima Valentina
Published: August 2020

Muscle oximetry based on near-infrared spectroscopy (NIRS) and electromyography (EMG) techniques in adherent clothing might be used to monitor the muscular activity of selected muscle groups while exercising. The fusion of these wearable technologies in sporting garments can allow the objective assessment of the quality and the quantity of the muscle activity as well as the continuous monitoring of exercise programs. Several prototypes integrating EMG and NIRS have been developed previously; however, most devices presented the limitations of not measuring regional muscle oxyhemoglobin saturation and did not embed textile sensors for EMG. The purpose of this study was to compare regional muscle oxyhemoglobin saturation and surface EMG data, measured under resting and dynamic conditions (treadmill run and strength exercises) by a recently developed wearable integrated quadriceps muscle oximetry/EMG system adopting smart textiles for EMG, with those obtained by using two “gold standard” commercial instrumentations for EMG and muscle oximetry. The validity and agreement between the wearable integrated muscle oximetry/EMG system and the “gold standard” instrumentations were assessed by using the Bland-Altman agreement plots to determine the bias. The results support the validity of the data provided by the wearable electronic garment developed purposely for the quadriceps muscle group and suggest the potential of using such device to measure strength and endurance exercises in vivo in various populations.
Cognitive Relevance Transform for Population Re-Targeting
Authors: Koporec Gregor , Košir Andrej , Leonardis Aleš , Perš Janez
Published: August 2020

This work examines the differences between a human and a machine in object recognition tasks. The machine is useful as much as the output classification labels are correct and match the dataset-provided labels. However, very often a discrepancy occurs because the dataset label is different than the one expected by a human. To correct this, the concept of the target user population is introduced. The paper presents a complete methodology for either adapting the output of a pre-trained, state-of-the-art object classification algorithm to the target population or inferring a proper, user-friendly categorization from the target population. The process is called ‘user population re-targeting’. The methodology includes a set of specially designed population tests, which provide crucial data about the categorization that the target population prefers. The transformation between the dataset-bound categorization and the new, population-specific categorization is called the ‘Cognitive Relevance Transform’. The results of the experiments on the well-known datasets have shown that the target population preferred such a transformed categorization by a large margin, that the performance of human observers is probably better than previously thought, and that the outcome of re-targeting may be difficult to predict without actual tests on the target population.
An IoT Smart Rodent Bait Station System Utilizing Computer Vision
Authors: Ross Robert , Parsons Lyle , Thai Ba Son , Hall Richard , Kaushik Meha
Published: August 2020

Across the world billions of dollars of damage are attributed to rodents, resulting in them being classified collectively as the biggest animal pest in the world. At a commercial scale most pest control companies employ the labour intensive approach of deploying and manually monitoring rodenticide bait stations. In this paper was present, RatSpy, a visual, low-power bait station monitoring system which wirelessly reports both on bait station levels and intruders entering the bait station. The smart bait stations report data back to a custom designed cloud platform. The system performance was evaluated under realistic field conditions (on an active cattle farm) with initial results showing significant potential in terms of reducing manual labour, improving scalability and data.
Complementary Deep and Shallow Learning with Boosting for Public Transportation Safety
Authors: Luo Shengda , Leung Alex Po , Qiu Xingzhao , Chan Jan Y. K. , Huang Haozhi
Published: August 2020

To monitor road safety, billions of records can be generated by Controller Area Network bus each day on public transportation. Automation to determine whether certain driving behaviour of drivers on public transportation can be considered safe on the road using artificial intelligence or machine learning techniques for big data analytics has become a possibility recently. Due to the high false classification rates of the current methods, our goal is to build a practical and accurate method for road safety predictions that automatically determine if the driving behaviour is safe on public transportation. In this paper, our main contributions include (1) a novel feature extraction method because of the lack of informative features in raw CAN bus data, (2) a novel boosting method for driving behaviour classification (safe or unsafe) to combine advantages of deep learning and shallow learning methods with much improved performance, and (3) an evaluation of our method using a real-world data to provide accurate labels from domain experts in the public transportation industry for the first time. The experiments show that the proposed boosting method with our proposed features outperforms seven other popular methods on the real-world dataset by 5.9% and 5.5%.
Assessment of Camouflage Effectiveness Based on Perceived Color Difference and Gradient Magnitude
Authors: Bai Xueqiong , Liao Ningfang , Wu Wenmin
Published: August 2020

We propose a new model to assess the effectiveness of camouflage in terms of perceived color difference and gradient magnitude. The “image color similarity index” (ICSI) and gradient magnitude similarity deviation (GMSD) were employed to analyze color and texture differences, respectively, between background and camouflage images. Information entropy theory was used to calculate weights for each metric, yielding an overall camouflage effectiveness metric. During the analysis process, both spatial and color perceptions of the human visual system (HVS) were considered, to mimic real-world observations. Subjective tests were used to compare our proposed method with previous methods, and our results confirmed the validity of assessing camouflage effectiveness based on perceived color difference and gradient magnitude.
Inertial Sensor-Based Instrumented Cane for Real-Time Walking Cane Kinematics Estimation
Authors: Fernandez Ibai Gorordo , Ahmad Siti Anom , Wada Chikamune
Published: August 2020

Falls are among the main causes of injuries in elderly individuals. Balance and mobility impairment are major indicators of fall risk in this group. The objective of this research was to develop a fall risk feedback system that operates in real time using an inertial sensor-based instrumented cane. Based on inertial sensor data, the proposed system estimates the kinematics (contact phase and orientation) of the cane. First, the contact phase of the cane was estimated by a convolutional neural network. Next, various algorithms for the cane orientation estimation were compared and validated using an optical motion capture system. The proposed cane contact phase prediction model achieved higher accuracy than the previous models. In the cane orientation estimation, the Madgwick filter yielded the best results overall. Finally, the proposed system was able to estimate both the contact phase and orientation in real time in a single-board computer.
Temperature Prediction of Heating Furnace Based on Deep Transfer Learning
Authors: Zhai Naiju , Zhou Xiaofeng
Published: August 2020

Heating temperature is very important in the process of billet production, and it directly affects the quality of billet. However, there is no direct method to measure billet temperature, so we need to accurately predict the temperature of each heating zone in the furnace in order to approximate the billet temperature. Due to the complexity of the heating process, it is difficult to accurately predict the temperature of each heating zone and each heating zone sensor datum to establish a model, which will increase the cost of calculation. To solve these two problems, a two-layer transfer learning framework based on a temporal convolution network (TL-TCN) is proposed for the first time, which transfers the knowledge learned from the source heating zone to the target heating zone. In the first layer, the TCN model is built for the source domain data, and the self-transfer learning method is used to optimize the TCN model to obtain the basic model, which improves the prediction accuracy of the source domain. In the second layer, we propose two frameworks: one is to generate the target model directly by using fine-tuning, and the other is to generate the target model by using generative adversarial networks (GAN) for domain adaption. Case studies demonstrated that the proposed TL-TCN framework achieves state-of-the-art prediction results on each dataset, and the prediction errors are significantly reduced. Consistent results applied to each dataset indicate that this framework is the most advanced method to solve the above problem under the condition of limited samples.
Characterization of FIREFLY, an Imaging Spectrometer Designed for Remote Sensing of Solar Induced Fluorescence
Authors: Paynter Ian , Cook Bruce , Corp Lawrence , Nagol Jyoteshwar , McCorkel Joel
Published: August 2020

Solar induced fluorescence (SIF) is an ecological variable of interest to remote sensing retrievals, as it is directly related to vegetation composition and condition. FIREFLY (fluorescence imaging of red and far-red light yield) is a high performance spectrometer for estimating SIF. FIREFLY was flown in conjunction with NASA Goddard’s lidar, hyperspectral, and thermal (G-LiHT) instrument package in 2017, as a technology demonstration for airborne retrievals of SIF. Attributes of FIREFLY relevant to SIF retrieval, including detector response and linearity; full-width at half maximum (FWHM); stray light; dark current; and shot noise were characterized with a combination of observations from Goddard’s laser for absolute measurement of radiance calibration facility; an integrating sphere; controlled acquisitions of known targets; in-flight acquisitions; and forward modelling. FWHM, stray light, and dark current were found to be of acceptable magnitude, and characterized to within acceptable limits for SIF retrieval. FIREFLY observations were found to represent oxygen absorption features, along with a large number of solar absorption features. Shot noise was acceptable for direct SIF retrievals at native resolution, but indirect SIF retrievals from absorption features would require spatial aggregation, or repeated observations of targets.
The Use of Neural Networks and Genetic Algorithms to Control Low Rigidity Shafts Machining
Authors: Świć Antoni , Wołos Dariusz , Gola Arkadiusz , Kłosowski Grzegorz
Published: August 2020

The article presents an original machine-learning-based automated approach for controlling the process of machining of low-rigidity shafts using artificial intelligence methods. Three models of hybrid controllers based on different types of neural networks and genetic algorithms were developed. In this study, an objective function optimized by a genetic algorithm was replaced with a neural network trained on real-life data. The task of the genetic algorithm is to select the optimal values of the input parameters of a neural network to ensure minimum deviation. Both input vector values and the neural network’s output values are real numbers, which means the problem under consideration is regressive. The performance of three types of neural networks was analyzed: a classic multilayer perceptron network, a nonlinear autoregressive network with exogenous input (NARX) prediction network, and a deep recurrent long short-term memory (LSTM) network. Algorithmic machine learning methods were used to achieve a high level of automation of the control process. By training the network on data from real measurements, we were able to control the reliability of the turning process, taking into account many factors that are usually overlooked during mathematical modelling. Positive results of the experiments confirm the effectiveness of the proposed method for controlling low-rigidity shaft turning.
Badminton Activity Recognition Using Accelerometer Data
Authors: Steels Tim , Van Herbruggen Ben , Fontaine Jaron , De Pessemier Toon , Plets David , De Poorter Eli
Published: August 2020

A thorough analysis of sports is becoming increasingly important during the training process of badminton players at both the recreational and professional level. Nowadays, game situations are usually filmed and reviewed afterwards in order to analyze the game situation, but these video set-ups tend to be difficult to analyze, expensive, and intrusive to set up. In contrast, we classified badminton movements using off-the-shelf accelerometer and gyroscope data. To this end, we organized a data capturing campaign and designed a novel neural network using different frame sizes as input. This paper shows that with only accelerometer data, our novel convolutional neural network is able to distinguish nine activities with 86% precision when using a sampling frequency of 50 Hz. Adding the gyroscope data causes an increase of up to 99% precision, as compared to, respectively, 79% and 88% when using a traditional convolutional neural network. In addition, our paper analyses the impact of different sensor placement options and discusses the impact of different sampling frequenciess of the sensors. As such, our approach provides a low cost solution that is easy to use and can collect useful information for the analysis of a badminton game.
Research on Tire Marking Point Completeness Evaluation Based on K-Means Clustering Image Segmentation
Authors: Yu Yuan , Ren Jinsheng , Zhang Qi , Yang Weimin , Jiao Zhiwei
Published: August 2020

The tire marking points of dynamic balance and uniformity play a crucial guiding role in tire installation. Incomplete marking points block the recognition of tire marking points, and then affect the installation of tires. It is usually necessary to evaluate the marking point completeness during the quality inspection of finished tires. In order to meet the high-precision requirements of the evaluation of tire marking point completeness in the smart factories, the K-means clustering algorithm is introduced to segment the image of marking points in this paper. The pixels within the contour of the marking point are weighted to calculate the marking point completeness on the basis of the image segmentation. The completeness is rated and evaluated by completeness calculation. The experimental results show that the accuracy of the marking point completeness ratings is 95%, and the accuracy of the marking point evaluations is 99%. The proposed method has an important guiding significance of practice to evaluate the tire marking point completeness during the tire quality inspection based on machine vision.
The Multi-Millennial Olive Agroecosystem of Salento (Apulia, Italy) Threatened by Xylella Fastidiosa Subsp. Pauca: A Working Possibility of Restoration
Authors: Scortichini Marco
Published: August 2020

In Salento, the olive agro-ecosystem has lasted more than 4000 years, and represents an invaluable local heritage for landscape, trade, and social traditions. The quarantine bacterium Xylella fastidiosa subsp. pauca was introduced in the area from abroad and has been widely threatening olive groves in the area. The successful eradication of quarantine phytopathogens requires a prompt identification of the causative agent at the new site, a restricted infected area, a highly effective local organization for crop uprooting and biological features of the micro-organism that would guarantee its complete elimination. However, at the time of the first record, these criteria were not met. Interdisciplinary studies showed that a zinc-copper-citric acid biocomplex allowed a consistent reduction of field symptoms and pathogen cell concentration within infected olive trees. In this perspective article, it is briefly described the implementation of control strategies in some olive farms of Salento. The protocol includes spray treatment with the biocomplex during spring and summer, regular pruning of the trees and mowing of soil between February and April to reduce the juvenile of the insect vector(s). Thus far, more than 500 ha have begun to follow this eco-friendly strategy within the “infected” and “containment” areas of Salento.
The NUMEN Heavy Ion Multidetector for a Complementary Approach to the Neutrinoless Double Beta Decay
Authors: Finocchiaro Paolo , Acosta Luis , Agodi Clementina , Altana Carmen , Amador-Valenzuela Paulina , Boztosun Ismail , Brasolin Sandro , Brischetto Giuseppe A. , Brunasso Oscar , Calabrese Salvatore , Calabretta Luciano , Calvo Daniela , Capirossi Vittoria , Cappuzzello Francesco , Carbone Diana , Cavallaro Manuela , Chávez Lomeli Efrain R. , Ciraldo Irene , D’Agostino Grazia , Delaunay Franck , Djapo Haris , Ferraresi Carlo , Fisichella Maria , Flechas Garcia David C. , Iazzi Felice , La Fauci Laura , Lanzalone Gaetano , La Via Francesco , Linares Roberto , Medina Nilberto H. , Mereu Paulo , Moralles Mauricio , Oliveira Josè R. B. , Pandola Luciano , Pappalardo Alfio , Petrascu Horia , Pinna Federico , Russo Antonio D. , Sartirana Diego , Sgouros Onoufrios , Solakci Selcuk Oktay , Soukeras Vasilis , Spatafora Alessandro , Torresi Domenico , Tudisco Salvatore , Yildirim Aydin , Zagatto Vinicius A. B.
Published: August 2020

Neutrinos are so far the most elusive known particles, and in the last decades many sophisticated experiments have been set up in order to clarify several questions about their intrinsic nature, in particular their masses, mass hierarchy, intrinsic nature of Majorana or Dirac particles. Evidence of the Neutrinoless Double-Beta Decay (NDBD) would prove that neutrinos are Majorana particles, thus improving the understanding of the universe itself. Besides the search for several large underground experiments for the direct experimental detection of NDBD, the NUMEN experiment proposes the investigation of a nuclear mechanism strongly linked to this decay: the Double Charge Exchange reactions (DCE). As such reactions share with the NDBD the same initial and final nuclear states, they could shed light on the determination of the Nuclear Matrix Elements (NMEs), which play a relevant role in the decay. The physics of DCE is described elsewhere in this issue, while the focus of this paper will be on the challenging experimental apparatus currently under construction in order to fulfil the requirements of the NUMEN experiment. The overall structure of the technological improvement to the cyclotron, along with the newly developed detection systems required for tracking and identifying the reaction products and their final excitation level are described.
Training of Primary Chicken Monocytes Results in Enhanced Pro-Inflammatory Responses
Authors: Verwoolde Michel B. , van den Biggelaar Robin H. G. A. , van Baal Jürgen , Jansen Christine A. , Lammers Aart
Published: August 2020

Beta-glucan-stimulated mammalian myeloid cells, such as macrophages, show an increased responsiveness to secondary stimulation in a nonspecific manner. This phenomenon is known as trained innate immunity and is important to prevent reinfections. Trained innate immunity seems to be an evolutionary conserved phenomenon among plants, invertebrates and mammalian species. Our study aimed to explore the training of primary chicken monocytes. We hypothesized that primary chicken monocytes, similar to their mammalian counterparts, can be trained with β-glucan resulting in increased responses of these cells to a secondary stimulus. Primary blood monocytes of white leghorn chickens were primary stimulated with β-glucan microparticulates (M-βG), lipopolysaccharide (LPS), recombinant chicken interleukin-4 (IL-4) or combinations of these components for 48 h. On day 6, the primary stimulated cells were secondary stimulated with LPS. Nitric oxide (NO) production levels were measured as an indicator of pro-inflammatory activity. In addition, the cells were analyzed by flow cytometry to characterize the population of trained cells and to investigate the expression of surface markers associated with activation. After the secondary LPS stimulation, surface expression of colony stimulating factor 1 receptor (CSF1R) and the activation markers CD40 and major histocompatibility complex class II (MHC-II) was higher on macrophages that were trained with a combination of M-βG and IL-4 compared to unstimulated cells. This increased expression was paralleled by enhanced NO production. In conclusion, this study showed that trained innate immunity can be induced in primary chicken monocytes with β-glucan, which is in line with previous experiments in mammalian species. Innate immune training may have the potential to improve health and vaccination strategies within the poultry sector.
A Comprehensive TCO Evaluation Method for Electric Bus Systems Based on Discrete-Event Simulation Including Bus Scheduling and Charging Infrastructure Optimisation
Authors: Jefferies Dominic , Göhlich Dietmar
Published: August 2020

Bus operators around the world are facing the transformation of their fleets from fossil-fuelled to electric buses. Two technologies prevail: Depot charging and opportunity charging at terminal stops. Total cost of ownership (TCO) is an important metric for the decision between the two technologies; however, most TCO studies for electric bus systems rely on generalised route data and simplifying assumptions that may not reflect local conditions. In particular, the need to reschedule vehicle operations to satisfy electric buses’ range and charging time constraints is commonly disregarded. We present a simulation tool based on discrete-event simulation to determine the vehicle, charging infrastructure, energy and staff demand required to electrify real-world bus networks. These results are then passed to a TCO model. A greedy scheduling algorithm is developed to plan vehicle schedules suitable for electric buses. Scheduling and simulation are coupled with a genetic algorithm to determine cost-optimised charging locations for opportunity charging. A case study is carried out in which we analyse the electrification of a metropolitan bus network consisting of 39 lines with 4748 passenger trips per day. The results generally favour opportunity charging over depot charging in terms of TCO; however, under some circumstances, the technologies are on par. This emphasises the need for a detailed analysis of the local bus network in order to make an informed procurement decision.
Bosnalı Mehmet Fâzıl Paşa Divanı’nda Şahıs İsimleri
Authors: DUMAN Mehmet Akif
Published: August 2020

Bosnalı Mehmet Fâzıl Paşa (1799-1882), hem Osmanlı Devleti’nin topyekûn bir değişime uğradığı Tanzimat Dönemi’ne mensup bir devlet adamıdır, hem de çağına tanıklık eden kalburüstü bir şairdir. Birçok mühim şahsiyette görülen bu çok yönlülük Fâzıl Paşa’da birbirinden ayrı istikametlerde hareket eden vasıtalar olmayıp nihayetinde birleşen karakterler cihetindedir. Daha özet bir ifade ile Paşa, şairlik hünerini devlet adamlığının lehine kullanmıştır. Ziyâ Paşa’nın meşhur hicviyesi Zafer-nâme’de ağır eleştirilerin hedefi olan Fâzıl Paşa’nın bu çatışmaya girme sebebi de yine şairliğini bu istikamette kullanmış olmasıdır. Aslında Ziyâ Paşa ile arasında bir husumet bulunmayan Fâzıl Paşa (ki Divandaki 48 nolu tarih Ziya Paşa’nın Bosna Müfettişi olmasını tebrik münasebeti ile düşülmüştür) Ali Paşa’ya yakınlığı ve (Ziya Paşa’nın tasavvuruna göre) haksız bir makam elde etmek sebebi ile “köpek”, “soytarı” gibi ciddi hakaretlerle tahkir edilir. Her ne kadar Zafer-nâme kadar ses getirmese de Paşa “Reddiye ve Tekzibiyye” ile kendini savunmaya çalışır. Daha ağır bir şekilde ve bilhassa kültürel seviyesi bakımından da eleştirilen Fâzıl Paşa, bu makale ile incelemeye çalışacağımız ve Divanındaki hususiyetlerden sadece biri olan “şahıs isimleri”nin de göstereceği üzere en azından zamanına tanıklık etmek ve mazmun kültürüne vakıf olmak bakımından taktir edilmelidir. Fâzıl Paşa Divanı’ndaki şahıs isimleri çok geniş bir alanda konuşlanır. Başta Osmanlı padişahları ve devlet adamları olmak üzere, kadim zamanların hükümdarlarından, mitolojik kahramanlara; mutasavvıflardan, sair şair, âlim ve filozoflara kadar pek çok tanınmış kişi Divan’da zikredilmiştir.
Counterintuitive Ballistic and Directional Liquid Transport on a Flexible Droplet Rectifier
Authors: Wang Lei , Li Jing , Zhang Bo , Feng Shile , Zhang Mei , Wu Dong , Lu Yang , Kai Ji Jung , Liu Jing , Wang Zuankai , Jiang Lei
Published: August 2020

Achieving the directional and long-range droplet transport on solid surfaces is widely preferred for many practical applications but has proven to be challenging. Particularly, directionality and transport distance of droplets on hydrophobic surfaces are mutually exclusive. Here, we report that drain fly, a ubiquitous insect maintaining nonwetting property even in very high humidity, develops a unique ballistic droplet transport mechanism to meet these demanding challenges. The drain fly serves as a flexible rectifier to allow for a directional and long-range propagation as well as self-removal of a droplet, thus suppressing unwanted liquid flooding. Further investigation reveals that this phenomenon is owing to the synergistic conjunction of multiscale roughness, structural periodicity, and flexibility, which rectifies the random and localized droplet nucleation (nanoscale and microscale) into a directed and global migration (millimeter-scale). The mechanism we have identified opens up a new approach toward the design of artificial rectifiers for broad applications.
Wartości bezpieczeństwa podmiotu
Authors: Glen Andrzej
Published: August 2020

W artykule, w ramach szczegółowej teorii wartości bezpieczeństwa podmiotu, kierując się regułami ogólnej teorii wartości i etyki normatywnej, zidentyfikowano i utworzono zbiór wartości bezpieczeństwo to konstytuujący. Wyprowadzono dedukcyjnie sposób istnienia i pojmowania przedmiotowych wartości. Zaproponowano metodę ich uznawania i normowania. Na utworzonym zbiorze wartości zrealizowano czynności rangujące i klasyfikujące. W rezultacie nadano wartościom bezpieczeństwa określoną rangę, i przypisano do wyróżnionych klas. Uporządkowano elementy zbioru wartości rozpinając je w strukturach sieciowej i hierarchicznej. Wreszcie sprecyzowano pojmowanie wartości we wspomnianych strukturach.
Przyszłe wojny. Zarys problemu
Authors: Marszałek Maciej
Published: August 2020

Artykuł poświęcony jest zidentyfikowaniu kluczowych aspektów dotyczących przyszłych wojen i konfliktów zbrojnych oraz usystematyzowaniu istniejącej wiedzy w tym obszarze. W związku z tym przyjęto założenie, że należy chociażby w ogólnym zarysie nakreślić prognozy najbardziej prawdopodobnych rodzajów wojen i konfliktów, a nie jednej uniwersalnej wizji wojny oraz konfliktu zbrojnego. Użycie liczby mnogiej w tym wypadku jest w pełni uzasadnione, ponieważ wypracowanie jednej wizji wojny byłoby podejściem zbyt uproszczonym, mogącym negatywnie wpłynąć nie tylko na rozwój teorii wojen i konfliktów, lecz także na ich praktykę. Rozwiązanie zatem tego problemu wymagało udzielenia odpowiedzi na pytanie: jakie będą przyszłe wojny i konflikty w stosunku do przewidywanych uwarunkowań geopolitycznych, rozwoju technologii wojskowych, walki informacyjnej oraz regulacji prawnych? W przygotowaniu niniejszego opracowania niezbędne okazały się teoretyczne metody badawcze, takie jak: synteza, analiza, uogólnienie i porównanie. Jednakże ze względu na specyficzny obszar badawczy kluczowe znaczenie miała jakościowa metoda prognozowania, czyli metoda scenariuszowa.
Muzułmański terroryzm w Europie. Radykalizacja poglądów religijnych wśród migrantów z Bliskiego Wschodu
Authors: Piwko Aldona Maria
Published: August 2020

Artykuł jest analizą aktualnej sytuacji w krajach Unii Europejskiej, spowodowanej „napięciem terrorystycznym” i definiuje zjawisko muzułmańskiego terroryzmu religijnego. Omówiono wybrane akty terroryzmu dokonane w Europie w latach 2015–2019 w kontekście muzułmańskiego radykalizmu religijnego. Zwrócono uwagę na profil muzułmańskiego terrorysty oraz motywy jego działania i gotowość na samobójczą śmierć. Ponadto w artykule omówiono przyczyny radykalizacji poglądów wśród muzułmanów żyjących w Europie. Kształtowanie postaw radykalnych w społeczności muzułmańskiej jest sposobem obrony wartości religijnych przed agresją kulturową Zachodu. Istotne znaczenie posiadają także centra religijne islamu, a więc imamowie oraz meczety, które są finansowane przez radykałów muzułmańskich.
Обеспечение транспортной безопасности уголовно-правовыми средствами: опыт Польши и России
Authors: Larina Lyubov Yurievna
Published: August 2020

В статье проведен сравнительно-правовой анализ уголовно-правовых норм России и Польши обеспечивающих транспортную безопасность. В ходе исследования автор пришел к выводу, что такие нормы расположены как в особенной, так и в общей части уголовных кодексов рассматриваемых стран. Автор отмечает существенные различия в законодательстве указанных стран по данному вопросу. Обращается внимание на положительный опыт, который может использоваться для совершенствования национального законодательства.
Struktury KGB na Bliskim Wschodzie w latach 1954-1991. Retrospekcja i jej współczesne implikacje
Authors: Pawlikowicz Leszek
Published: August 2020

W artykule zaprezentowano w zarysie podstawowe struktury Komitetu Bezpieczeństwa Państwowego (przy Radzie Ministrów) ZSRR prowadzące działania operacyjne na terenie trzynastu państw Bliskiego Wschodu ze szczególnym uwzględnieniem: Libanu, Egiptu, Syrii, Iraku oraz Jemenu Północnego i Południowego. Ponadto przedstawiono specyfikę regionu, a także jej oddziaływanie na profil podejmowanych tam przedsięwzięć, zwłaszcza w zakresie operacji realizowanych w ramach jednostek organizacyjnych 1. Zarządu Głównego KGB odpowiedzialnego za prowadzenie wywiadu zagranicznego, jak również ich możliwy wpływ na późniejsze działania Służby Wywiadu Zagranicznego FR na tym obszarze.
SISTEM INFORMASI MANAJEMEN PROSEDUR & MONITORING TUGAS AKHIR SEBAGAI SARANA MENINGKATKAN KUALITAS TUGAS AKHIR (Studi Kasus Program Studi Teknik Informatika, Fakultas Teknik, Universitas Suryakancana)
Authors: Abdulghani Tarmin , Zaenal Sarah Samahir
Published: August 2020

Sistem informasi adalah suatu sistem di dalam suatu organisasi yang mempertemukan kebutuhan pengolahan transaksi (pembayaran) harian, mendukung operasi, bersifat manajerial (mengatur) dan kegiatan strategi dari suatu organisasi dan menyediakan pihak luar tertentu dengan laporan – laporan yang diperlukan.Metode pengembangan yang digunakan dalam pembuatan website (halaman informasi) ini adalah waterfall model (gambaran suatu proses perangkat lunak yang berdasarkan pada pendekatan ini, digunakan dalam pengembangan sistem perangkat lunak dan perangkat keras yang luas) yang terdiri dari Communication (Hubungan), Planning (Perencanaan), Modelling (Penggambaran), Construction (Kontruksi) dan Deployment (Pengembangan). Sedangkan untuk metoda perancangan sistem yang mana menggunakan alat-alat perancangan seperti Use case (interaksi antara aktor dengan sistem yang akan dibuat), Activity Diagram (gambaran dari prilaku use case dan objek didalam sistem) dan Class Diagram (gambaran untuk memodelkan struktur kelas). Bahasa Pemerograman yang digunakan untuk membuat website (halaman informasi) ini yaitu dengan HTML (Hyper Text Markup Language atau Tanda Bahasa Tulisan Terikat)  dan PHP (Personal Home Page atau Halaman Pribadi).Kegiatan mentoring (pengajaran) dianggap menjadi salah satu metode monitoring (pemantauan) yang efektif (cepat) yang dapat memudahkan Dosen untuk memonitoring (memantau) kegiatan penyusunan Tugas Akhir.Dari analisa dan pengamatan yang dilakukan, dapat diketahui bahwa Sistem Informasi Monitoring (pemantauan) Berbasis website salah satu alternatif (cara untuk mencapai tujuan) yang dapat meningkatkan Fakultas Teknik untuk melakukan pencatatan data dan kegiatan Mahasiswa serta nilai dengan masih banyak lagi dengan dukungan berbagai fitur (karakteristik) menarik.
PENGELOLAAN KELENGKAPAN DOKUMEN DAN PELAYANAN BERBASIS WEB DI DESA SUKAWANGI
Authors: Syaddad Hasbu Naim
Published: August 2020

Desa Sukawangi adalah sebuah desa yang berada di Kecamatan Warungkondang Kabupaten Cianjur Provinsi Jawa Barat.Saat ini pengelolaan surat masuk dan surat keluar masih menggunakan sistem manual, untuk pengarsipannya pun masih belum tersusun sesuai dengan jenis dan nomor suratnya. Melihat kondisi tersebut perlu adanya sistem yang menggunakan database untuk mengelola dan menyimpan data surat masuk dan surat keluar agar tersusun sesuai jenis dan nomor suratnya. Untuk pencarian arsip masuk dan keluar sekretaris hanya perlu memasukkan jenis atau nomor surat di kolom pencarian, dengan seperti itu maka akan merpersingkat waktu dalam proses pencarian arsip. Hal ini perlu dilakukan untuk meningkatkan kinerja proses memasukkan data surat masuk dan surat keluar serta hasilnya berupa arsip yang akan disimpan didalam database. Sistem Pengelolaan Kelengkapan Dokumen dan Pelayanan Berbasis Web di Desa Sukawangi menggunakan paradigma model prototype dengan UML (unified modeling language) dengan alat yang digunakan untuk merancang yaitu usecase  diagram, activity diagram, class diagram state diagram dan sequence diagram. Sedangkan alat pembangunan aplikasi database menggunakan PhpMyAdmin. Sistem yang dirancang mempunyai kelebihan dalam mengelola surat masuk dan surat keluar serta dalam pengarsipan surat masuk dan surat keluar menjadi lebih efektif dan efisien.
Pembangunan Sistem Informasi Manajemen Diklat Menggunakan Metode Servqual Dalam Upaya Meningkatkan Kualitas Pelayanan Informasi (Studi Kasus: Balai Diklat Metrologi)
Authors: Yulianto Erwin , Ginanjar Arief
Published: August 2020

Balai Diklat Metrologi saat ini tengah berbenah diri dengan mengembangkan fasilitas dan infrastruktur termasuk peningkatan dari segi kualitas pelayanan informasi.Pembenahan-pembenahan yang dilakukan saat ini sayangnya tidak selaras dengan kualitas pelayanan informasi baik di internal instansi maupun secara eksternal. Hal tersebut terjadi karena budaya kerja Silo yang terjadi di Balai Diklat Metrologi, yaitu sebuah pola pikir masa kini ketika beberapa bagian tertentu tidak menginginkan untuk berbagi informasi dengan bagian atau sektor lainnya di dalam organisasi yang sama. Tipe mentalitas seperti ini akan mengurangi efisiensi dalam proses bisnis keseluruhan, mengurangi nilai-nilai moral, dan berpotensi terciptanya budaya organisasi yang kontra produktif. Dalam rangka untuk meningkatkan kualitas pelayanan informasi, maka solusi yang akan diberikan yaitu dengan melakukan pembangunan Sistem Informasi Manajemen Diklat dengan menggunakan metode Servqual. Metode pengembangan aplikasi yang digunakan adalah metode berorientasi objek dengan tahapan software development life cycle menggunakan model Evolutionary Prototype. Dengan adanya solusi yang dibangun pada Balai Diklat Metrologi, diharapkan kualitas layanan informasi yang diharapkan bagi pihak eksternal dan internal dapat meningkat.
اتهام ومحاكمة رئيس وأعضاء السلطة التنفيذية
Authors: شريف ميثم حنظل , عبد الله انتصار حسن
Published: August 2020

لما كانت القواعد الدستورية التي تقرر ان السيادة للشعب وهو مصدر السلطات, تقتضي بوجوب التفرقة بين السيادة التي ينفرد بها لشعب وبين ممارسة السيادة من قبل الحكام حيث يتعين ان تمارس في اطار الحدود المقررة بالدستور والقانون, والا فالمسألة هي الجزاء على من لا يلتزم.

ولما كان الاتهام كإجراء يتضمن اسناد افعال محددة دستورياً, فان الدساتير تكفلت بتحديد الجهة التي تتولى مهمة توجيه الاتهام الى الرئيس واعضاء السلطة التنفيذية, وهو البرلمان كونه يضم ممثلي الشعب الذين يمتلكون سلطة تقديرية ليحدد ما اذا كان احد اعضاء السلطة التنفيذية قد ارتكب فعلاً موجه ضد سيادة الدولة من خلافه. لذلك وضعت التشريعات نظاماً خاصاً لمحاكمتهم واسبغوا عليه لوناً خاصاً ومتميزاً من المحاكمات. حيث تتم اما بواسطة السلطة التشريعية وحدها او يتم ذلك باشراك السلطتين التشريعية والقضائية.
الطبيــعة القــــانونية للــدفع بعـــدم التنفيـــذ في القانون المدني الفرنسي "دراسة قانونية مقارنة"
Authors: حورية لشهب , سالم زينب
Published: August 2020

يمثل الدفع بعدم التنفيذ آلية هامة في مجال تنفيذ الالتزامات، فهو يمكن المتعاقد من أن يمتنع عن تنفيذ التزامه إلى أن يقوم المتعاقد الآخر بأداء التزاماته، فهو وسيلة دفاعية وضغط وضمان لحقوقه، وقد نصت عليه المواد 161 من القانون المدني المصري و المادة 123 من القانون المدني الجزائري،  في حين لم ينص عليه في القانون المدني الفرنسي إلا بعد صدور الأمر رقم 2016-131 المتعلق بإصلاح نظام العقود و النظام العام واثبات الالتزامات وذلك في المواد 1217 و1219 و1220 منه. هذه النصوص وإن كانت لم تبين الأساس الذي يقوم عليه الدفع بعدم التنفيذ تاركة هذه المهمة للفقه، فهي بينت طبيعته القانونية التي تميزه عن غيره من الآليات المشابهة له كالحق في الحبس والفسخ والمقاصة.
مدى مسؤولية -بائع الخمور او مقدمها- المدنية تجاه المخمورين وضحاياهم "دراسة مقارنة"
Authors: حسن حيدر فليح
Published: August 2020

تتعدد الافعال الضارة التي تقع من المخمورين وهم في تلك الحالة، ولاسيما تلك الناشئة عن حوادث السيارات، إذ يشهد العالم يوميا عشرات بل المئات من حوادث السيارات بسبب تناول المشروبات الكحولية، وكثيرا ما تفضي تلك الحوادث الى اصابات خطرة قد تصل الى وفاة السائق المخمور ومن معه في السيارة فضلا عن الاشخاص الاخرين المتواجدين في السيارات الاخرى التي يقع معها الحادث او المشاة في الشارع، الى جانب الاضرار التي تلحق بالممتلكات الخاصة او العامة، وإذا كان امر رجوع المتضررين على المخمور بدعوى المسؤولية المدنية (التقصيرية) امر مفروغ منه باعتباره هو المباشر للفعل الضار، فهل يحق لهم مثل هذا الرجوع على بائع الخمور او مقدمها باعتباره المتسبب في حال السكر؟ ام لا علاقة لهؤلاء بتلك الافعال الضارة ولاسيما تلك التي تقع خارج منشأتهم او مقرهم؟ ثم هل يحق للمخمور ذاته ان يرجع عليهم بالمسؤولية المدنية ام لا؟ للاجابة عن هذه التساؤلات وغيرها جاء هذا البحث ليسلط الضوء مدى مسؤولية - بائع الخمور او مقدمها - المدنية تجاه المخمورين وضحاياهم.
دراسة في نظام المصادرة المدنية على ضوء اتفاقية الامم المتحدة لمكافحة الفساد
Authors: دهش قائد هادي
Published: August 2020

تعتبر المصادرة المدنية عملية قانونية مثيرة للجدل والتي تسمح لسلطات تنفيذ القانون بحجز الاموال اذا كان هناك مجرد شك بكونها عائدات جنائية بغض النظر عن أدانة المتهم عن الجريمة. هذه العملية ينظر اليها من ناحية كسلاح قوي لاستهداف الاموال الجنائية والوسائل لارتكاب المزيد من الانشطة الاجرامية, ومن ناحية اخرى كانتهاك لحقوق الافراد. تبريرات قدمت لدعم كلا الجانبين. هذا البحث يحلل تلك التبريرات, مع التأييد لتطبيق نظام المصادرة المدنية في العراق. هذا البحث يقترح العناصر الفعالة التي يحتاج الى وضعها محل الاعتبار في تبني تشريع المصادرة المدنية في العراق.
Methodological support for state registration of small innovative enterprises established at universities and research organizations
Authors: Turko T.I. , Fedorkov V.F. , Odintsova N.N. , Rodionova G.G. , Fakhurdinov O.V. , Timokhin A.A.
Published: August 2020

The article presents the results of work related to statistics of notifications’ registration and formation of Registration Roster of notifications for creation of small innovative enterprises.
NEW APPROACHES TO THE ORGANIZATIONAL AND TECHNICAL SUPPORT OF THE EXAMINATION OF COMPETITIVE APPLICATIONS FOR STATE SUPPORT IN THE FORM OF GRANTS OF THE PRESIDENT OF THE RUSSIAN FEDERATION TO YOUNG RUSSIAN SCIENTISTS – DOCTORS OF SCIENCES AND PHILOSOPHY DOCTORS (DOCTORS AND Ph. D.) AND LEADING SCIENTIFIC SCHOOLS
Authors: Mironov N.A. , Maryshev E.A. , Divueva N.A.
Published: August 2020

The article discusses the issues of improving the examination system of competitive applications for state support in the form of grants of the President of the Russian Federation on the basis of
an integrated information system that includes the information support system of the Grants Council of the President of the Russian Federation and the information system of the Federal Roster of Scientific and Technological Experts and containing information about experts, applications and expert examination results. In order to improve the principles of transparency and openness of support programs and competition winners, to ensure the objectivity of the competitive selection of projects, a number of organizational and technical solutions are proposed in the application examination system based on an integrated information system. The new and proposed new approaches to the organizational and technical support of the examination of competitive applications for state support in the form of grants of the President of the Russian Federation to young Russian scientists made it possible, by attracting a wide range of scientific and technological communities, to conduct examination of more than five thousand applications with high quality and deadlines set by the Ministry of Education and Science of Russia.
PENDIDIKAN KARAKTER DI PESANTREN
Authors: Asmuki Asmuki , Aluf Wilda Al
Published: August 2020

The development of science and technology is difficult tostop. Technology as a product of science penetrated all the lines of life. Islamic boarding schoolcan not be separated from technology. Positive and negative of technology is a necessity. The ease of all affairs is one of the positive impacts of technology, while the negative impacts of technology are gave birth to instant-minded and “devilish” human beings. Good character education in these conditions plays an important role in life. Islamic boarding school as an Islamic educational institution in Indonesia is considered and trusted as a character education institution. Indeed, the term character education is introduced and proclaimed by Western educational leaders, but the substance of education has been done in Islamic boarding school. Thomas Lickona called it moral knowing, it is reflected in the akhlak subject in Islamic boarding school, as well as the term moral action is reflected in the praised behavior of the santri and exemplified by the kiai and the ustadz. The integration between moral knowing and good behavior in the students’ real life is able to give birth to the sensitivity to do well (moral feeling). Those three components of character education is implemented in a reflective that is indirectly the cultivation of good characters students such as habituation to do good and exemplary exemplified by ustad and kiai, and also done substantively that is by way of character materials taught directly through moral education in Islamic school or recitations.