Komunikasi Device-to-Device pada Jaringan Seluler 5G Menggunakan MmWave

This article discusses about device-to-device communication on 5G cellular networks using mmWave. Device-to-device communication will support 5G cellular technology, because it can be a solution to overcome the limitations of cellular coverage and service capacity. D2D can be used in a variety of applications. The main problem in D2D is that interference between signals in one cell will be very vulnerable to occur, so that effective resource management is needed. In addition, the use of D2D will also increase the complexity of a cellular system, in terms of resource management, interference, and also the routing required. Several studies have been carried out to create D2D communication that can be implemented effectively on 5G. One of them is research to perfect the load balancing scheme which is one of the functions obtained from D2D communication. Load balancing is the distribution of cellular traffic loads, using D2D the traffic load is channeled to communication between devices and reduces the burden on the main network

Synthesis and characterization of novel dextran-conjugated macromolecules of aceclofenac

The study involves the condensation of acylimidazole derivatives of acaclofenac (AC) with dextran 10,000 and 20,000 to obtain aceclofenac-dextran prodrugs AC10 and AC20 respectively with an aim to improve aqueous solubility, increase therapeutic efficiency and reduce the gastrointestinal side effects. The structure of synthesized prodrugs was confirmed by IR and NMR spectroscopy. The molecular weight was determined by Mark-Howink Sakurada equation and the degree of substitution was obtained as 13.3 and 16 % for the prodrugs. In vitro hydrolysis carried out in simulated gastric fluid (SGF), simulated intestinal fluid (SIF) and simulated colonic fluid (SCF) showed faster hydrolysis in SIF and SCF. The percentage anti-inflammatory activity of AC was found as 49.56 whereas an improved value of 56.44 and 61.82 % were obtained for AC10 and AC20 respectively. The prodrugs showed improved analgesia and reduced ulcerogenicity than aceclofenac, thereby proving to be better in action than the parent drug.El estudio se centra en la condensación de acilimidazoles derivados de aceclofenaco (AC) con dextrano 10.000 y 20.000 para obtener los profármacos de aceclofenaco-dextrano AC10 y AC20, respectivamente, con el objetivo de mejorar la hidrosolubilidad, aumentar la eficacia terapéutica y reducir los efectos secundarios gastrointestinales. La estructura de los profármacos sintetizados se ha confirmado a través de espectroscopia IR y RMN. El peso molecular ha sido determinado a través de la ecuación de Mark-Houwink-Sakurada y se ha obtenido un grado de sustitución de 13,3 y 16% para los profármacos. La hidrólisis in vitro llevada a cabo en fluido gástrico simulado (FGS), fluido intestinal simulado (FIS) y fluido colónico simulado (FCS) ha mostrado una hidrólisis más rápida en FIS y FCS. De ello ha resultado un porcentaje de actividad antiinflamatoria de AC de 49,56, mientras que para AC10 y AC20 se ha obtenido un valor aumentado de 56,44 y 61,82% respectivamente. Los profármacos han mostrado una mejor analgesia y una menor ulcerogenicidad que el aceclofenaco, por lo que se demuestra que su acción es mejor que la del fármaco base

The patient safety practices of emergency medical teams in disaster zones: a systematic analysis

Introduction: Disaster zone medical relief has been criticised for poor quality care, lack of standardisation and accountability. Traditional patient safety practices of Emergency Medical Teams (EMT) in disaster zones were not well understood. Improving the quality of healthcare in disaster zones has gained importance within global health policy. Ascertaining patient safety practices of EMTs in disaster zones may identify areas of practice that can be improved. Methods: A systematic search of OvidSP, Embase and Medline databases, key journals of interest, key grey-literature texts, the databases of the World Health Organisation (WHO), Médecins Sans Frontieres (MSF) and the International Committee of the Red Cross (ICRC), and Google Scholar were performed. Descriptive studies, case reports, case series, prospective trials and opinion pieces were included with no limitation on date or language of publication. Results: There were 9,685 records, evenly distributed between the peer-reviewed and grey literature. Of these, 30 studies and 9 grey literature texts met the inclusion criteria and underwent qualitative synthesis. From these articles, 302 patient safety statements were extracted. Thematic analysis categorised these statements into 84 themes (total frequency 632). The most frequent themes were limb injury (9%), medical records (5.4%), surgery decision making (4.6%), medicines safety (4.4%) and protocol (4.4%) Conclusion: Patient safety practices of EMTs in disaster zones are weighted towards acute clinical care, particularly surgery. The management of Non-Communicable Disease (NCD) is underrepresented. There is widespread recognition of the need to improve medical record keeping. High-quality data and institutional level patient safety practices are lacking. There is no consensus on disaster zone specific performance indicators. These deficiencies represent opportunities to improve patient safety in disaster zones

PHARMACOKINETICS OF KETOPROFEN IN HEALTHY HORSES IN PAKISTAN

ABSTRACT Ketoprofen (KTP) is a non-steroidal anti-inflammatory drug (NSAID), used to alleviate inflammation and rheumatic problems in humans and animals. A single intravenous dose of ketoprofen was administered in eight healthy horses at dose of 3.0 mg/kg body weight through jugular vein. Blood samples (3-5ml) were drawn pre-medication at zero-hr, and then at 0. 08, 0.17, 0.25, 0.5, 0.75, 1.0, 2.0, 3.0, 4.0, 6.0, 8.0, 10, 12.0, 24, 48, 60, 72, 84 and 96 hrs post medication. Plasma was separated out. The concentration of KTP in plasma was measured by HPLC (high performance liquid Chromatography) method. By using the plasma concentration versus time data, the pharmacokinetic parameters were calculated through computer based pharmacokinetic software APO. Version 3.02, as Mean ±SEM AUC (Area Under the concentration time Curve) ± µg.h.ml , and K el (Elimination Rate Constant) ± l.hr -1 respectively

Biomechanical modeling of human-robot accident scenarios: a computational assessment for heavy-payload-capacity robots

Exponentially growing technologies such as intelligent robots in the context of Industry 4.0 are radically changing traditional manufacturing to intelligent manufacturing with increased productivity and flexibility. Workspaces are being transformed into fully shared spaces for performing tasks during human-robot collaboration (HRC), increasing the possibility of accidents as compared to the fully restricted and partially shared workspaces. The next technological epoch of Industry 5.0 has a heavy focus on human well-being, with humans and robots operating in synergy. However, the reluctance to adopt heavy-payload-capacity robots due to safety concerns is a major hurdle. Therefore, the importance of analyzing the level of injury after impact can never be neglected for the safety of workers and for designing a collaborative environment. In this study, quasi-static and dynamic analyses of accidental scenarios during HRC are performed for medium-and low-payload-capacity robots according to the conditions given in ISO TS 15066 to assess the threshold level of injury and pain, and is subsequently extended for high speeds and heavy payloads for collaborative robots. For this purpose, accidental scenarios are simulated in ANSYS using a 3D finite element model of an adult human index finger and hand, composed of cortical bone and soft tissue. Stresses and strains in the bone and tissue, and contact forces and energy transfer during impact are studied, and contact speed limit values are estimated. It is observed that heavy-payload-capacity robots must be restricted to 80% of the speed limit of low-payload-capacity robots. Biomechanical modeling of accident scenarios offers insights and, therefore, gives confidence in the adoption of heavy-payload robots in factories of the future. The analysis allows for prediction and assessment of different hypothetical accidental scenarios in HRC involving high speeds and heavy-payload-capacity robots

A crowdsourcing-based framework for the development and validation of machine readable parallel corpus for sign languages

Sign languages are used by the deaf and mute community of the world. These are gesture based languages where the subjects use hands and facial expressions to perform different gestures. There are hundreds of different sign languages in the world. Furthermore, like natural languages, there exist different dialects for many sign languages. In order to facilitate the deaf community several different repositories of video gestures are available for many sign languages of the world. These video based repositories do not support the development of an automated language translation systems. This research aims to investigate the idea of engaging the deaf community for the development and validation of a parallel corpus for a sign language and its dialects. As a principal contribution, this research presents a framework for building a parallel corpus for sign languages by harnessing the powers of crowdsourcing with editorial manager, thus it engages a diversified set of stakeholders for building and validating a repository in a quality controlled manner. It further presents processes to develop a word-level parallel corpus for different dialects of a sign language; and a process to develop sentence-level translation corpus comprising of source and translated sentences. The proposed framework has been successfully implemented and involved different stakeholders to build corpus. As a result, a word-level parallel corpus comprising of the gestures of almost 700 words of Pakistan Sign Language (PSL) has been developed. While, a sentence-level translation corpus comprising of more than 8000 sentences for different tenses has also been developed for PSL. This sentence-level corpus can be used in developing and evaluating machine translation models for natural to sign language translation and vice-versa. While the machine-readable word level parallel corpus will help in generating avatar based videos for the translated sentences in different dialects of a sign language

Modelling of content-aware indicators for effective determination of shot boundaries in compressed MPEG videos

In this paper, a content-aware approach is proposed to design multiple test conditions for shot cut detection, which are organized into a multiple phase decision tree for abrupt cut detection and a finite state machine for dissolve detection. In comparison with existing approaches, our algorithm is characterized with two categories of content difference indicators and testing. While the first category indicates the content changes that are directly used for shot cut detection, the second category indicates the contexts under which the content change occurs. As a result, indications of frame differences are tested with context awareness to make the detection of shot cuts adaptive to both content and context changes. Evaluations announced by TRECVID 2007 indicate that our proposed algorithm achieved comparable performance to those using machine learning approaches, yet using a simpler feature set and straightforward design strategies. This has validated the effectiveness of modelling of content-aware indicators for decision making, which also provides a good alternative to conventional approaches in this topic

Rib suppression in frontal chest radiographs: A blind source separation approach

Chest radiographs play an important role in the diagnosis of lung cancer. Detection of pulmonary nodules in chest radiographs forms the basis of early detection. Due to its sparse bone structure and overlapping of the nodule with ribs and clavicles the nodule is difficult to detect in conventional chest radiographs. We present a technique based on Independent Component Analysis (ICA) for the suppression of posterior ribs and clavicles which will en-hance the visibility of the nodules and aid the radiologist in diagnosis. 1

Localization of Compact Circularly Polarized RFID Tag Using ToA Technique

A compact, flexible crossed-dipole circular polarized antenna using commercially available paper substrate is presented which caters North American frequency band. The crossed-dipoles have meandered lines for reduction of size as well as increased inductivity in the antenna. Dipoles have asymmetric T-shaped rectangular endings to provide the required compactness. Two semicircles are induced between the orthogonal dipoles and meandering matching structure to accomplish circular polarization excitation. Good impedance matching with the chip is achieved through a modified meander line matching structure. The proposed design dimensions are 32 × 32 × 0.4 mm3. Systematic analysis revealed the results comprising circular polarization 3dB-AR bandwidth of 11MHz (909–920 MHz) and power transmission coefficient bandwidth of 36MHz (900–936 MHz). Time delay between interrogating signal and backscattered signal is measured and relative distance is calculated. Linear Least Square (LLS) method is applied to approximate the position of tag in interrogation area. The proposed tag is placed at known locations and its position is measured to analyze accuracy of the method by simulating the positioning algorithm code in MATLAB. Six valid tag positions 0.5–2 m read range and 0°–150° angular resolution has been investigated