bluuebunny/crossref_metadata_2025 huggingface dataset:
Biomechanics of Table Tennis: A Systematic Scoping Review of Playing Levels and Maneuvers
Authors: Wong Duo Wai-Chi , Lee Winson Chiu-Chun , Lam Wing-Kai
Published: July 2020

This present study aims to review the available evidence on the biomechanics of table-tennis strokes. Specifically, it summarized current trends, categorized research foci, and biomechanical outcomes regarding various movement maneuvers and playing levels. Databases included were Web of Science, Cochrane Library, Scopus, and PubMed. Twenty-nine articles were identified meeting the inclusion criteria. Most of these articles revealed how executing different maneuvers changed the parameters related to body postures and lines of movement, which included racket face angle, trunk rotation, knee, and elbow joints. It was found that there was a lack of studies that investigated backspin maneuvers, longline maneuvers, strikes against sidespin, and pen-hold players. Meanwhile, higher-level players were found to be able to better utilize the joint power of the shoulder and wrist joints through the full-body kinetic chain. They also increased plantar pressure excursion in the medial-lateral direction, but reduced in anterior-posterior direction to compromise between agility and dynamic stability. This review identified that most published articles investigating the biomechanics of table tennis reported findings comparing the differences among various playing levels and movement tasks (handwork or footwork), using ball/racket speed, joint kinematics/kinetics, electromyography, and plantar pressure distribution. Systematically summarizing these findings can help to improve training regimes in order to attain better table tennis performance.
A Novel Machine Learning Approach Combined with Optimization Models for Eco-efficiency Evaluation
Authors: Mirmozaffari Mirpouya , Yazdani Maziar , Boskabadi Azam , Ahady Dolatsara Hamidreza , Kabirifar Kamyar , Amiri Golilarz Noorbakhsh
Published: July 2020

Machine learning approaches have been developed rapidly and also they have been involved in many academic findings and discoveries. Additionally, they are widely assessed in numerous industries such as cement companies. Cement companies in developing countries, despite many profits such as valuable mines, face many challenges. Optimization, as a key part of machine learning, has attracted more attention. The main purpose of this paper is to combine a novel Data Envelopment Analysis (DEA) approach in optimization at the first step to find the Decision-Making Unit (DMU) with innovative clustering algorithms in machine learning at the second step introduce the model and algorithm with higher accuracy. At the optimization section with converting two-stage to a simple standard single-stage model, 24 cement companies from five developing countries over 2014–2019 are compared. Window-DEA analysis is used since it leads to increase judgment on the consequences, mainly when applied to small samples followed by allowing year-by-year comparisons of the results. Applying window analysis can be beneficial for managers to expand their comparison and evaluation. To find the most accurate model CCR (Charnes, Cooper and Rhodes model), BBC (Banker, Charnes and Cooper model) and Free Disposal Hull (FDH) DEA model for measuring the efficiency of decision processes are used. FDH model allows the free disposability to construct the production possibility set. At the machine learning section, a novel three-layers data mining filtering pre-processes proposed by expert judgment for clustering algorithms to increase the accuracy and to eliminate unrelated attributes and data. Finally, the most efficient company, best performance model and the most accurate algorithm are introduced. The results indicate that the 22nd company has the highest efficiency score with an efficiency score of 1 for all years. FDH model has the highest efficiency scores during all periods compared with other suggested models. K-means algorithm receives the highest accuracy in all three suggested filtering layers. The BCC and CCR models have the second and third places, respectively. The hierarchical clustering and density-based clustering algorithms have the second and third places, correspondingly.
Comparison on Search Failure between Hash Tables and a Functional Bloom Filter
Authors: Byun Hayoung , Lim Hyesook
Published: July 2020

Hash-based data structures have been widely used in many applications. An intrinsic problem of hashing is collision, in which two or more elements are hashed to the same value. If a hash table is heavily loaded, more collisions would occur. Elements that could not be stored in a hash table because of the collision cause search failures. Many variant structures have been studied to reduce the number of collisions, but none of the structures completely solves the collision problem. In this paper, we claim that a functional Bloom filter (FBF) provides a lower search failure rate than hash tables, when a hash table is heavily loaded. In other words, a hash table can be replaced with an FBF because the FBF is more effective than hash tables in the search failure rate in storing a large amount of data to a limited size of memory. While hash tables require to store each input key in addition to its return value, a functional Bloom filter stores return values without input keys, because different index combinations according to each input key can be used to identify the input key. In search failure rates, we theoretically compare the FBF with hash-based data structures, such as multi-hash table, cuckoo hash table, and d-left hash table. We also provide simulation results to prove the validity of our theoretical results. The simulation results show that the search failure rates of hash tables are larger than that of the functional Bloom filter when the load factor is larger than 0.6.
Short-Term Responses of Air Quality to Changes in Emissions under the Representative Concentration Pathway 4.5 Scenario over Brazil
Authors: Schuch Daniel , Andrade Maria de Fatima , Zhang Yang , Dias de Freitas Edmilson , Bell Michelle L.
Published: July 2020

Brazil, one of the world’s fastest-growing economies, is the fifth most populous country and is experiencing accelerated urbanization. This combination of factors causes an increase in urban population that is exposed to poor air quality, leading to public health burdens. In this work, the Weather Research and Forecasting Model with Chemistry is applied to simulate air quality over Brazil for a short time period under three future emission scenarios, including current legislation (CLE), mitigation scenario (MIT), and maximum feasible reduction (MFR) under the Representative Concentration Pathway 4.5 (RCP4.5), which is a climate change scenario under which radiative forcing of greenhouse gases (GHGs) reach 4.5 W m−2 by 2100. The main objective of this study is to determine the sensitivity of the concentrations of ozone (O3) and particulate matter with aerodynamic diameter 2.5 µm or less (PM2.5) to changes in emissions under these emission scenarios and to determine the signal and spatial patterns of these changes for Brazil. The model is evaluated with observations and shows reasonably good agreement. The MFR scenario leads to a reduction of 3% and 75% for O3 and PM2.5 respectively, considering the average of grid cells within Brazil, whereas the CLE scenario leads to an increase of 1% and 11% for O3 and PM2.5 respectively, concentrated near urban centers. These results indicate that of the three emission control scenarios, the CLE leads to poor air quality, while the MFR scenario leads to the maximum improvement in air quality. To the best of our knowledge, this work is the first to investigate the responses of air quality to changes in emissions under these emission scenarios for Brazil. The results shed light on the linkage between changes of emissions and air quality.
Microclimate in Rooms Equipped with Decentralized Façade Ventilation Device
Authors: Zender-Świercz Ewa
Published: July 2020

Many building are characterized by insufficient air exchange, which may result in the symptoms of sick building syndrome (SBS). A large number of existing buildings are equipped with natural ventilation, whose work is disturbed by activities going to energy-saving. The thermomodernization activities are about mounting new sealed windows and laying thermal isolation, which reduces the amount of infiltrating/exfiltrating air. In many cases, the mechanical ventilation cannot be used due to a lack of a place in building or architectural and construction requirements. One of the solutions to improve the indoor microclimate is the decentralized façade ventilation. In the article, the internal air parameters in an office room equipped with decentralized façade ventilation device were analyzed. The room was equipped with a decentralized façade unit, which cyclically supplied and removed air from the room. The time of the supply/exhaust was changed to 2 min, 4 min, and 10 min. The temperature and the humidity of the indoor air and the outdoor air and the concentration of carbon dioxide inside the room were measured. The analysis showed that despite the lack of a heater in the device, the air temperature in the workplace and in the central point of the room was in the range of 20–22 °C. The air humidity was in the range of 27–43%.
Rehabilitation of Adult Patients with Primary Brain Tumors: A Narrative Review
Authors: Thakkar Parth , Greenwald Brian , Patel Palak
Published: July 2020

Rehabilitative measures have been shown to benefit patients with primary brain tumors (PBT). To provide a high quality of care, clinicians should be aware of common challenges in this population including a variety of medical complications, symptoms, and impairments, such as headaches, seizures, cognitive deficits, fatigue, and mood changes. By taking communication and family training into consideration, clinicians can provide integrated and patient-centered care to this population. This article looks to review the current literature in outpatient and inpatient rehabilitation options for adult patients with PBTs as well as explore the role of the interdisciplinary team in providing survivorship care.
Effect of Calcination Time on the Physicochemical Properties and Photocatalytic Performance of Carbon and Nitrogen Co-Doped TiO2 Nanoparticles
Authors: Massima Mouele Emile Salomon , Dinu Mihaela , Cummings Franscious , Fatoba Ojo O. , Zar Myint Myo Tay , Kyaw Htet Htet , Parau Anca C. , Vladescu Alina , Francesconi M. Grazia , Pescetelli Sara , Di Carlo Aldo , Agresti Antonio , Al-Abri Mohammed , Dobretsov Sergey , Braic Mariana , Petrik Leslie F.
Published: July 2020

The application of highly active nano catalysts in advanced oxidation processes (AOPs) improves the production of non-selective hydroxyl radicals and co-oxidants for complete remediation of polluted water. This study focused on the synthesis and characterisation of a highly active visible light C–N-co-doped TiO2 nano catalyst that we prepared via the sol-gel method and pyrolysed at 350 °C for 105 min in an inert atmosphere to prevent combustion of carbon moieties. Then we prolonged the pyrolysis holding time to 120 and 135 min and studied the effect of these changes on the crystal structure, particle size and morphology, electronic properties and photocatalytic performance. The physico-chemical characterisation proved that alteration of pyrolysis holding time allows control of the amount of carbon in the TiO2 catalyst causing variations in the band gap, particle size and morphology and induced changes in electronic properties. The C–N–TiO2 nano composites were active under both visible and UV light. Their improved activity was ascribed to a low electron–hole pair recombination rate that enhanced the generation of OH· and related oxidants for total deactivation of O.II dye. This study shows that subtle differences in catalyst preparation conditions affect its physico-chemical properties and catalytic efficiency under solar and UV light.
Probiotic Fermented Milk with Collagen
Authors: Znamirowska Agata , Szajnar Katarzyna , Pawlos Małgorzata
Published: July 2020

The aim of this study was to assess the possibility of using collagen protein hydrolysate in the production of milk fermented by Bifidobacterium animalis ssp. lactis Bb-12 and Lactobacillusrhamnosus. Physicochemical and organoleptic properties were studied and microbiological analysis of fermented milk was performed on days 1 and 21 of storage. Milk with the addition of 3% collagen protein hydrolysate was pasteurized (85 °C/30 min), divided into two groups, cooled to 37 °C and inoculated: the first group with Bifidobacteriumanimalis ssp. lactis Bb-12, second with Lactobacillus rhamnosus. Incubation was carried out at 37 °C/10 h. After 21 days of refrigerated storage, the pH value decreased in all analyzed milk samples. Collagen protein hydrolysate was a good milk additive to increase gel hardness and reduce syneresis. Moreover, its addition did not change the taste and odour of milk fermented with the use of Bifidobacterium Bb-12 and Lactobacillus rhamnosus. Collagen protein hydrolysate favourably stimulated the survival of Bifidobacterium Bb-12 during 21 days of storage. After 21 days of cold storage in milk with collagen, the number of Lactobacillus rhamnosus cells was reduced by 0.11 log cfu g−1.
Fog and Low Stratus Obstruction of Wind Lidar Observations in Germany—A Remote Sensing-Based Data Set for Wind Energy Planning
Authors: Rösner Benjamin , Egli Sebastian , Thies Boris , Beyer Tina , Callies Doron , Pauscher Lukas , Bendix Jörg
Published: July 2020

Coherent wind doppler lidar (CWDL) is a cost-effective way to estimate wind power potential at hub height without the need to build a meteorological tower. However, fog and low stratus (FLS) can have a negative impact on the availability of lidar measurements. Information about such reductions in wind data availability for a prospective lidar deployment site in advance is beneficial in the planning process for a measurement strategy. In this paper, we show that availability reductions by FLS can be estimated by comparing time series of lidar measurements, conducted with WindCubes v1 and v2, with time series of cloud base altitude (CBA) derived from satellite data. This enables us to compute average maps (2006–2017) of estimated availability, including FLS-induced data losses for Germany which can be used for planning purposes. These maps show that the lower mountain ranges and the Alpine regions in Germany often reach the critical data availability threshold of 80% or below. Especially during the winter time special care must be taken when using lidar in southern and central regions of Germany. If only shorter lidar campaigns are planned (3–6 months) the representativeness of weather types should be considered as well, because in individual years and under persistent weather types, lowland areas might also be temporally affected by higher rates of data losses. This is shown by different examples, e.g., during radiation fog under anticyclonic weather types.
Small-Scale Desalination Plant Driven by Solar Energy for Isolated Communities
Authors: Liponi Angelica , Tempesti Claretta , Baccioli Andrea , Ferrari Lorenzo
Published: July 2020

In the last years, an increasing number of countries has been affected by water shortage. Seawater desalination driven by solar energy, which is usually available in arid regions, might be a solution to satisfy the freshwater demand. In this study, the feasibility of a stand-alone multi-effect desalination (MED) plant driven by solar energy for an isolated community was studied. The system was made up of a solar field, a MED unit, and a thermal storage that mitigated solar energy fluctuations. Simulations with different top brine temperature and inclination and number of the solar panels were carried out in Matlab and Aspen Plus on an hourly basis by considering one typical meteorological year for ambient temperature and solar radiation. Two different sources of electrical energy were considered: A photovoltaic (PV) field and a diesel generator. The results were compared from an energetic and economic point of view, by considering the adoption of plastic as a material for MED heat exchangers. The maximum water production was obtained with December as the design month. Polytetrafluoroethylene heat exchangers allowed the cost of water to be reduced up to 9.5% compared to conventional exchangers. The lowest cost of water (7.09 $/m3) was obtained with September as the design month and a tilt angle of 45° with the PV field as the electrical power source.
The Propagation and Interaction of Supraharmonics from Electric Vehicle Chargers in a Low-Voltage Grid
Authors: Slangen Tim , van Wijk Thijs , Ćuk Vladimir , Cobben Sjef
Published: July 2020

The recent increase in large converter-based devices like electric vehicles and photovoltaics increases supraharmonic emissions in low-voltage grids, potentially affecting customer equipment and the grid. This paper aims to give an overview of the different factors influencing supraharmonic emissions from electric vehicles and studies the propagation of supraharmonic currents through a small, low-voltage grid. Measurements in an unique lab representing a possible future household gave valuable insight on the possible developments in primary and secondary supraharmonic emissions in a conventional or power-electronic-dominated system. Emission is, for some vehicles, influenced by the type of grid connection, whereas others show no difference in emission. The supraharmonic currents mainly stay within the local installation due to absorption of nearby devices. The level of voltage distortion is dependent on the connection impedance. During the measurements, another type of interaction between devices is observed in the form of “frequency beating” and intermodulation, in some cases resulting in the tripping of residual current devices. This interaction is further analyzed in order to better understand the possible impact it can have on the grid.
The Deactivation of Industrial SCR Catalysts—A Short Review
Authors: Szymaszek Agnieszka , Samojeden Bogdan , Motak Monika
Published: July 2020

One of the most harmful compounds are nitrogen oxides. Currently, the common industrial method of nitrogen oxides emission control is selective catalytic reduction with ammonia (NH3-SCR). Among all of the recognized measures, NH3-SCR is the most effective and reaches even up to 90% of NOx conversion. The presence of the catalyst provides the surface for the reaction to proceed and lowers the activation energy. The optimum temperature of the process is in the range of 150–450 °C and the majority of the commercial installations utilize vanadium oxide (V2O5) supported on titanium oxide (TiO2) in a form of anatase, wash coated on a honeycomb monolith or deposited on a plate-like structures. In order to improve the mechanical stability and chemical resistance, the system is usually promoted with tungsten oxide (WO3) or molybdenum oxide (MoO3). The efficiency of the commercial V2O5-WO3-TiO2 catalyst of NH3-SCR, can be gradually decreased with time of its utilization. Apart from the physical deactivation, such as high temperature sintering, attrition and loss of the active elements by volatilization, the system can suffer from chemical poisoning. All of the presented deactivating agents pass for the most severe poisons of V2O5-WO3-TiO2. In order to minimize the harmful influence of H2O, SO2, alkali metals, heavy metals and halogens, a number of methods has been developed. Some of them improve the resistance to poisons and some are focused on recovery of the catalytic system. Nevertheless, since the amount of highly contaminated fuels combusted in power plants and industry gradually increases, more effective poisoning-preventing and regeneration measures are still in high demand.
Magnetic Survey for Iron-Oxide-Copper-Gold (IOCG) and Alkali Calcic Alteration Signatures in Gadarwara, M.P, India: Implications on Copper Metallogeny
Authors: Raju P.V. Sunder , Kumar K. Satish
Published: July 2020

A government airborne geophysical survey flown in the late 1970s detected a large Magnetic anomaly at Gadarwara, Madhya Pradesh, in north-central India. Deep drilling indicates that the oval-shaped Magnetic anomaly is caused by underlying Magnetite-bearing banded iron formation belonging to the Mahakoshal Formation of Archean to Early Proterozoic age. The anomaly is hosted in a tectonic rift zone (Narmada-Son Lineament). After drilling alluvium up to 312 m thick, rocks intersected to depths of 612 m provided core samples for research. Broadly speaking, the samples contain banded hematite jaspilite (BHJ) and banded Magnetite (BM) iron formation with pervasive carbonate alterations. Three vertical diamond drill holes were drilled along a 1.4 km long N-S transect across the center of the geophysical anomaly. DDH-1, near the northern edge of the anomaly, went through 309 m of alluvium before intersecting bedrock and then cored 303 m of bedrock for a total depth of 612 m. Copper mineralization with appreciable amounts of cobalt, zinc, molybdenum, silver, rare earth elements, uranium and other elements was intersected. The litho-units are highly oxidised and intensely brecciated with hydrothermal overprinting of Na-K metasomatism alteration mineralogy. The second borehole, DDH-2 failed as the core drilling bit stuck in the alluvium and further drilling was abandoned, whereas the third borehole DDH-3 didnot intersect a Magnetite-hematite association and cored only siltstone. Two-dimensional model studies suggest that the signature of high Magnetic anomaly is at a depth of 0.4 km from the surface, with a width of 3.5 km, dipping at 45∘ in a northerly direction. The causative body has a Magnetic susceptibility of 0.0052 C.G.S. units, suggestive of a hematite with quartz veinlets lithology. Based on predictive Magnetic exploration models for Iron-Oxide-Copper-Gold (IOCG), such deposits can be inferred from geological observations combined with petrophysical data and forward modelling of the observed Magnetic signatures. This paper reports a prospective IOCG-like mineralization style hosted in a rift (Narmada-Son) type of tectonic environment.
Surface Functionalization of Biomedical Ti-6Al-7Nb Alloy by Liquid Metal Dealloying
Authors: Okulov Ilya Vladimirovich , Joo Soo-Hyun , Okulov Artem Vladimirovich , Volegov Alexey Sergeevich , Luthringer Bérengère , Willumeit-Römer Regine , Zhang Laichang , Mädler Lutz , Eckert Jürgen , Kato Hidemi
Published: July 2020

Surface functionalization is an effective approach to change the surface properties of a material to achieve a specific goal such as improving the biocompatibility of the material. Here, the surface of the commercial biomedical Ti-6Al-7Nb alloy was functionalized through synthesizing of a porous surface layer by liquid metal dealloying (LMD). During LMD, the Ti-6Al-7Nb alloy is immersed in liquid magnesium (Mg) and both materials react with each other. Particularly, aluminum (Al) is selectively dissolved from the Ti-6Al-7Nb alloy into liquid Mg while titanium (Ti) and niobium (Nb) diffuse along the metal/liquid interface to form a porous structure. We demonstrate that the porous surface layer in the Ti-6Al-7Nb alloy can be successfully tailored by LMD. Furthermore, the concentration of harmful Al in this porous layer is reduced by about 48% (from 5.62 ± 0.11 wt.% to 2.95 ± 0.05 wt.%) after 30 min of dealloying at 1150 K. The properties of the porous layer (e.g., layer thickness) can be tuned by varying the dealloying conditions. In-vitro tests suggest improved bone formation on the functionalized porous surface of the Ti-6Al-7Nb alloy.
Mechanistic Insights into the Release of Doxorubicin from Graphene Oxide in Cancer Cells
Authors: Quagliarini Erica , Di Santo Riccardo , Pozzi Daniela , Tentori Paolo , Cardarelli Francesco , Caracciolo Giulio
Published: July 2020

Liposomal doxorubicin (L-DOX) is a popular drug formulation for the treatment of several cancer types (e.g., recurrent ovarian cancer, metastatic breast cancer, multiple myeloma, etc.), but poor nuclear internalization has hampered its clinical applicability so far. Therefore, novel drug-delivery nanosystems are actively researched in cancer chemotherapy. Here we demonstrate that DOX-loaded graphene oxide (GO), GO-DOX, exhibits much higher anticancer efficacy as compared to its L-DOX counterpart if administered to cellular models of breast cancer. Then, by a combination of live-cell confocal imaging and fluorescence lifetime imaging microscopy (FLIM), we suggest that GO-DOX may realize its superior performances by inducing massive intracellular DOX release (and its subsequent nuclear accumulation) upon binding to the cell plasma membrane. Reported results lay the foundation for future exploitation of these new adducts as high-performance nanochemotherapeutic agents.
Decellularized Skin Extracellular Matrix (dsECM) Improves the Physical and Biological Properties of Fibrinogen Hydrogel for Skin Bioprinting Applications
Authors: Jorgensen Adam M , Chou Zishuai , Gillispie Gregory , Lee Sang Jin , Yoo James J , Soker Shay , Atala Anthony
Published: July 2020

Full-thickness skin wounds are a significant clinical burden in the United States. Skin bioprinting is a relatively new technology that is under investigation as a new treatment for full-thickness injuries, and development of hydrogels with strong physical and biological characteristics are required to improve both structural integrity of the printed constructs while allowing for a more normal extracellular matrix milieu. This project aims to evaluate the physical and biological characteristics of fibrinogen hydrogel supplemented with decellularized human skin-derived extracellular matrix (dsECM). The hybrid hydrogel improves the cell viability and structural strength of bioprinted skin constructs. Scanning electron microscopy demonstrates that the hybrid hydrogel is composed of both swelling bundles interlocked in a fibrin network, similar to healthy human skin. This hybrid hydrogel has improved rheological properties and shear thinning properties. Extrusion-based printing of the fibrinogen hydrogel + dsECM demonstrates significant improvement in crosshatch pore size. These findings suggest that incorporating the properties of dsECM and fibrinogen hydrogels will improve in vivo integration of the bioprinted skin constructs and support of healthy skin wound regeneration.
A Comparison of Empirical Correlations of Viscosity and Thermal Conductivity of Water-Ethylene Glycol-Al2O3 Nanofluids
Authors: Sawicka Dorota , Cieśliński Janusz T. , Smolen Slawomir
Published: July 2020

Because of their superb thermal conductivity, nanofluids are seen as new generation of cooling mediums in many engineering applications. It is well established that even a small amount of nanoparticles mixed with a base fluid may result in distinct thermal conductivity enhancement. On the other hand, addition of nanoparticles to the base fluid results in its substantial viscosity increase. Therefore, it is very difficult to evaluate the relative importance of viscosity and thermal conductivity of the nanofluid on convective heat transfer performance. In order to estimate such resultant impact properly, it is necessary to develop reliable correlation equations for predictions of these two thermophysical properties of nanofluids. In this paper, the thermal conductivity and dynamic viscosity of five fluids, i.e., pure water, ethylene glycol (EG) and three mixtures of water and EG with volume ratio of 40:60, 50:50 and 60:40 have been experimentally determined. The aforementioned fluids served as base fluids in nanofluids with Al2O3 nanoparticles at the concentration of 0.01%, 0.1% and 1% by weight. A set of 20 correlations for prediction of thermal conductivity and dynamic viscosity of base fluids and corresponding nanofluids has been developed. Moreover, present results have been confronted with literature data and predictions made by use of carefully selected recognized literature correlations.
A Variable Data Fusion Approach for Electromechanical Impedance-Based Damage Detection
Authors: Singh Shishir Kumar , Soman Rohan , Wandowski Tomasz , Malinowski Pawel
Published: July 2020

There is continuing research in the area of structural health monitoring (SHM) as it may allow a reduction in maintenance costs as well as lifetime extension. The search for a low-cost health monitoring system that is able to detect small levels of damage is still on-going. The present study is one more step in this direction. This paper describes a data fusion technique by combining the information for robust damage detection using the electromechanical impedance (EMI) method. The EMI method is commonly used for damage detection due to its sensitivity to low levels of damage. In this paper, the information of resistance (R) and conductance (G) is studied in a selected frequency band and a novel data fusion approach is proposed. A novel fused parameter (F) is developed by combining the information from G and R. The difference in the new metric under different damage conditions is then quantified using established indices such as the root mean square deviation (RMSD) index, mean absolute percentage deviation (MAPD), and root mean square deviation using k-th state as the reference (RMSDk). The paper presents an application of the new metric for detection of damage in three structures, namely, a thin aluminum (Al) plate with increasing damage severity (simulated with a drilled hole of increasing size), a glass fiber reinforced polymer (GFRP) composite beam with increasing delamination and another GFRP plate with impact-induced damage scenarios. Based on the experimental results, it is apparent that the variable F increases the robustness of the damage detection as compared to the quantities R and G.
Consistent and Efficient Modeling of the Nonlinear Properties of Ferroelectric Materials in Ceramic Capacitors for Frugal Electronic Implants
Authors: Olsommer Yves , Ihmig Frank R.
Published: July 2020

In recent years, the development of implantable electronics has been driven by the motivation to expand their field of application. The main intention is to implement advanced functionalities while increasing the degree of miniaturization and maintaining reliability. The intrinsic nonlinear properties of the electronic components, to be used anyway, could be utilized to resolve this issue. To master the implementation of functionalities in implantable electronics using the nonlinear properties of its electronic components, simulation models are of utmost importance. In this paper, we present a simulation model that is optimized in terms of consistency, computing time and memory consumption. Three circuit topologies of nonlinear capacitors, including hysteresis losses, are investigated. An inductively coupled measurement setup was realized to validate the calculations. The best results were obtained using the Trapezoid method in ANSYS with a constant step size and a resolution of 500 k points and using the Adams method in Mathcad with a resolution of 50 k points. An inductive coupling factor between 7% and 10% leads to a significant improvement in consistency compared to lower coupling factors. Finally, our results indicate that the nonlinear properties of the voltage rectifier capacitor can be neglected since these do not significantly affect the simulation results.
Development of a Smart Splint to Monitor Different Parameters during the Treatment Process
Authors: De Agustín Del Burgo José María , Blaya Haro Fernando , D’Amato Roberto , Juanes Méndez Juan Antonio
Published: July 2020

For certain musculoskeletal complex rupture injuries, the only treatment available is the use of immobilization splints. This type of treatment usually causes discomfort and certain setbacks in patients. In addition, other complications are usually generated at the vascular, muscular, or articular level. Currently, there is a really possible alternative that would solve these problems and even allows a faster and better recovery. This is possible thanks to the application of engineering on additive manufacturing techniques and the use of biocompatible materials available in the market. This study proposes the use of these materials and techniques, including sensor integration inside the splints. The main parameters considered to be studied are pressure, humidity, and temperature. These aspects are combined and analyzed to determine any kind of unexpected evolution of the treatment. This way, it will be possible to monitor some signals that would be studied to detect problems that are associated to the very initial stage of the treatment. The goal of this study is to generate a smart splint by using biomaterials and engineering techniques based on the advanced manufacturing and sensor system, for clinical purposes. The results show that the prototype of the smart splint allows to get data when it is placed over the arm of a patient. Two temperatures are read during the treatment: in contact with the skin and between skin and splint. The humidity variations due to sweat inside the splint are also read by a humidity sensor. A pressure sensor detects slight changes of pressure inside the splint. In addition, an infrared sensor has been included as a presence detector.
3D Transparent Object Detection and Reconstruction Based on Passive Mode Single-Pixel Imaging
Authors: Mathai Anumol , Guo Ningqun , Liu Dong , Wang Xin
Published: July 2020

Transparent object detection and reconstruction are significant, due to their practical applications. The appearance and characteristics of light in these objects make reconstruction methods tailored for Lambertian surfaces fail disgracefully. In this paper, we introduce a fixed multi-viewpoint approach to ascertain the shape of transparent objects, thereby avoiding the rotation or movement of the object during imaging. In addition, a simple and cost-effective experimental setup is presented, which employs two single-pixel detectors and a digital micromirror device, for imaging transparent objects by projecting binary patterns. In the system setup, a dark framework is implemented around the object, to create shades at the boundaries of the object. By triangulating the light path from the object, the surface shape is recovered, neither considering the reflections nor the number of refractions. It can, therefore, handle transparent objects with a relatively complex shape with the unknown refractive index. The implementation of compressive sensing in this technique further simplifies the acquisition process, by reducing the number of measurements. The experimental results show that 2D images obtained from the single-pixel detectors are better in quality with a resolution of 32×32. Additionally, the obtained disparity and error map indicate the feasibility and accuracy of the proposed method. This work provides a new insight into 3D transparent object detection and reconstruction, based on single-pixel imaging at an affordable cost, with the implementation of a few numbers of detectors.
Be Careful How You Do It: The Distinct Effects of Observational Monitoring and Interactional Monitoring on Employee Trust
Authors: Wu Di , Wang Zhongming
Published: July 2020

Research shows that employee trust could be impacted by monitoring measures. We contend that these impacts could be contingent on how monitoring is exercised. Specifically, while the controlling elements in monitoring signal suspicion and undermine employee trust, the interactive elements facilitate the organization–employee reciprocation and strengthen employee trust. We drew evidence from 354 Chinese employees. The results showed that observational monitoring/interactional monitoring was negatively/positively related to employee trust and that employee psychological safety fully mediated these effects. The theoretical and practical implications of these findings are discussed.
Sickle Cell Disease in the Democratic Republic of Congo: Assessing Physicians’ Knowledge and Practices
Authors: Mukinayi Mbiya Benoît , Tumba Disashi Ghislain , Gulbis Béatrice
Published: July 2020

Background: Sickle cell disease is a major public health issue in the Democratic Republic of Congo (DRC), but it is still poorly understood by health professionals. The objective of this study was to assess the knowledge and practices of Congolese physicians treating sickle cell disease (SCD), in order to identify the areas for improvement in clinical care. Methods: This was a descriptive observational study conducted among Congolese physicians using a questionnaire. Participants were evaluated using a pre-established answer grid. Results: A total of 460 physicians participated, including 81 women (18%), with an average age of 35 years (range 25–60 years). Most physicians were general practitioners. Although self-assessment of their level of knowledge on SCD was estimated as average to good, less than half of the participants (n = 460; 46%) reported adequate management of vaso-occlusive crises, and only 1% of them had received specific training on SCD. Most physicians reported difficulties both in terms of diagnostic (65%) and management (79%) options of SCD patients. This study also showed that 85% of these physicians did not have access to the diagnostic tools for SCD. Conclusions: Insufficient knowledge on SCD and poor diagnostic and treatment options might contribute to increased morbidity and mortality of patients living in the DRC. Interventions aiming to improve physicians’ knowledge, patient follow-up, and treatment access are needed. Specific training alongside existing programs (HIV, malaria), early diagnosis of the disease, and the creation of patient advocacy groups should be implemented to improve SCD patient care.
Association of FGF23 with Incident Sepsis in Community-Dwelling Adults: A Cohort Study
Authors: Paul Shejuti , Judd Suzanne E. , Wang Henry E. , Gutiérrez Orlando M.
Published: July 2020

Background

Fibroblast growth factor 23 (FGF23) is a hormone that regulates vitamin D activity. Higher circulating FGF23 concentrations have been associated with an increased risk of infection-related hospitalization, but the association of FGF23 with risk of sepsis remains unclear.

Methods

We examined the association of FGF23 with incident sepsis events in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study, a national longitudinal cohort of black and white adults ≥45 years of age. Using a case-cohort design, we measured baseline FGF23 in 703 sepsis cases and in 991 participants randomly selected from the REGARDS cohort. We defined sepsis as the presence of a serious infection plus two or more Systemic Inflammatory Response Syndrome criteria. We identified first sepsis hospitalizations during 2003–2012 by adjudicated medical record review. Cox proportional hazards models were used to examine associations of FGF23 with incident sepsis, adjusting for age, sex, race, income, education, smoking, body mass index, physical activity, chronic pulmonary disease, eGFR, urine albumin-creatinine ratio, and high-sensitivity C-reactive protein. We also examined whether associations differed by age, race, sex, and CKD by testing interaction terms.

Results

Higher FG23 concentrations were associated with greater risk of sepsis (hazard ratio [HR] per doubling of FGF23, 1.37; 95% CI, 1.22 to 1.54) in models adjusted for sociodemographic and clinical variables. After further adjusting for eGFR, urine albumin-creatinine ratio, and high-sensitivity C-reactive protein, the association was attenuated and no longer statistically significant (HR per doubling, 1.01; 95% CI, 0.85 to 1.21). The results did not statistically differ by strata of age, sex, race, or CKD.

Conclusions

In community-dwelling adults, higher FGF23 concentrations were not independently associated with higher risk of sepsis.
BİR İLAHİYAT BİLİM DALI OLARAK TÜRK-İSLÂM EDEBİYATI
Authors: Baş Mehmet Şamil
Published: July 2020

Bu
makale, ilahiyat disiplini altında bir bilim dalı olan Türk-İslâm Edebiyatını
bütüncül bir yaklaşım göstererek ana hatlarıyla ortaya koymaktadır. Bu bağlamda
makale, öncelikle Türk-İslâm Edebiyatı biliminin tanımını yapmayı, yetmiş
yıllık tarihsel sürecini özetlemeyi, diğer bilim dallarıyla olan bağına ve ilişkisine
değinmeyi, alanın müfredat açısından genel muhtevasını belirtmeyi, alan
araştırmacıları için öne çıkan genel problemleri sıralamayı, üstelendiği görevleri
açıklamayı, kullandığı yöntemleri tespit etmeyi hedefleyerek lisans öğrencilerinin
istifade ettiği ders kitaplarının ve lisansüstü eğitimleri için ana kaynakların
hangileri olduğuna dair okuma listesi sunmayı hedeflemektedir. Sonuç kısmında alana
ait problemlere dair çözüm önerilerinin sunulduğu bu makale, bir ilahiyat bilim
dalı olarak Türk-İslâm Edebiyatı bilimine katkı sunmayı ve onu genel kapsamıyla
tanıtmayı hedeflemektedir.
İSLÂMÎ TÜRK EDEBİYATINDA ESMÂ-İ HÜSNÂ
Authors: Öztürk Ali
Published: July 2020

İslâmi Türk edebiyatının en
başta gelen türleri konusu Allah (cc) ile ilgili olanlarıdır. Cenab-ı Hakk’a
dair bir eser kaleme almak şairler için şeref vesilesi kabul edilmiştir. Bu
yüzden klasik edebiyatımızda, hemen hemen bütün şairler Allah (cc) ile ilgili
tevhid münâcât ve esmâ-i hüsnâyı konu alan çok sayda eser meydana
getirmişlerdir. Esma-i hüsnayı konu edinen şiirler, bazen Tevhidler, bazen de
münâcâtlar içinde ait oldukları türün bir bölümü olarak yazılmakla birlikte
müstakil olarak esmâ-i hüsnâ başlıklı şiirler hatta manzum/mensur müstakil
eserler de kaleme alınmıştır. Bu yüzden esmâ-i hüsnâ konulu eserleri dinî
edebiyatımız içerisinde ayrı bir tür olarak ele alınması kabul görmüştür.
Manzum ya da mensur esmâ-i hüsnâ konulu eserleri: Esmâ-i hüsnâyı tâdât eden
(sayan) eserler, esmâ-i hüsnâ şerhleri, esmâ-i hüsnâ muammâları,  esmâ-i hüsnânın havassı ile ilgili eserler olarak
tasnif etmek mümkündür. Gerek manzum gerekse mensur olarak günümüzde de  esmâ-i hüsna ile ilgili eserler yazılmaya devam
etmektedir.
ALİYYÜ’L-KÂRÎ’NİN SALAVÂT-I ŞERÎFESİNİ 20. ASIRDAN OKUMAK: AMASYA MÜFTÜSÜ MEHMED SABRİ YETKİN’İN SALAVÂT-I ŞERÎFE ŞERHİ
Authors: Çavuşoğlu Raşit
Published: July 2020

Millî Mücadele Dönemi din adamlarından Amasya Müftüsü
Abdurrahman Kâmil Yetkin’in oğullarından âlim, şâir ve fâzıl bir şahsiyet olan
Amasya Müftüsü Mehmed Sabri Yetkin, ilmî, dinî, edebî ve tasavvufî muhtevalı
birçok eser telif etmiştir. Telif ettiği eserlerden biri de Aliyyü’l-Kârî’nin
Arapça müsecca‘ Salavât-ı Şerîfe şerhidir. Bu çalışmamızda öncelikle, Amasya
Müftüsü Mehmed Sabri Yetkin’in ilmî ve edebî şahsiyeti üzerinde durulmuştur. Daha
sonra ise Aliyyü’l-Kârî’nin müsecca‘ salavât-ı şerîfesi ve Mehmed Sabri
Yetkin’in Aliyyü’l-Kârî’nin salavât-ı şerîfesine yazdığı şerhinin transkripsiyonlu
metni verilmiştir.
İDARİ YARGILAMA HUKUKUNDA KANUN YOLUNA BAŞVURU HAKKININ ANAYASAL GÜVENCEYE SAHİP OLMASI BAKIMINDAN ELE ALINMASI
Authors: SEVİNÇ Ekin
Published: July 2020

İlk derece mahkemeleri tarafından verilen kararların hukuka uygun olup olmadıklarının denetimi amacına hizmet eden başvuru yollarına, yargılama usulleri sisteminde kanun yolu adı verilmektedir. İdari yargıda kanun yolları, İdari Yargılama Usulü Kanunu’nun ‘’Kararlara Karşı Başvuru Yolları’’ başlığını taşıyan 45. ve devamı maddelerinde düzenlenmiştir. İlgili maddelere bakıldığında, ilk derece mahkemeleri tarafından verilen ve belli miktara kadar olan bazı uyuşmazlıklara karşı kanun yolunun kapalı olduğu görülmektedir. Temelde, davaların hızlandırılması, mahkemelerin iş yükünün azaltılması gibi gerekçelerle kimi kararlara karşı kanun yolunun kapatılmasının, kamu yararının gerektirmesi halinde kanun koyucunun takdir yetkisi içinde olduğu kabul edilmektedir. Ancak, hali hazırda yargı yolunun varlığının yanında, kimi kararlara karşı kanun yoluna gidilemeyecek olmasının Anayasa’ya; dolayısıyla, hukuka aykırılık teşkil edip etmeyeceğinin tespitini de yapmak gerekmektedir. Bu doğrultuda makalenin de temel amacı, kanun yoluna başvuru hakkının varlığının sınırlanmasının mümkün olup olmadığı; şayet mümkün ise, bu sınırlamanın sınırında kullanılabilecek ölçütlerin neler olduğunu ortaya koymaktır.
SİCİLE KAYITLI (MÜSECCEL) GEMİLERİN ANONİM ŞİRKETLERE	SERMAYE OLARAK GETİRİLMESİ
Authors: GÖZÜYEŞİL Fevzi Fırat
Published: July 2020

Bu çalışmanın konusu, sicile kayıtlı (müseccel) gemilerin, 6102 sayılı TTK bağlamında anonim şirketlere aynî sermaye olarak getirilmesidir. Çalışmanın birinci bölümünde, TTK m. 128 ve 343 hükümleri, aynî sermaye teorisi ışığında incelenmiştir. İkinci bölümde, aynî sermaye olarak şirkete getirilebilecek sicile kayıtlı gemilere dair detaylar ele alınmıştır. Evvelâ “sicil” kavramı tanımlanmış; akabinde Millî Gemi Sicili, Yapı Sicili, Türk Uluslararası Gemi Sicili ve Bağlama Kütüğü’nün özel sicil mahiyeti TTK m. 128/2 bağlamında değerlendirilmiştir. Üçüncü ve son bölümde ilk olarak, TTK m. 128/2’ye göre verilecek şerh veya yapılacak kaydın hukukî etkilerine değinilmiştir. Üçüncü bölümün sonunda ise, sicile kayıtlı gemilerin anonim şirket malvarlığına intikâli incelenmiştir.
High Security Mechanism: Fragmentation and Replication in the Cloud with Auto Update in the System.
Authors: Khobragade Shrutika , Bhosale Rohini , Jiwahe Rahul
Published: July 2020

Cloud Computing makes immense use of internet to store a huge amount of data. Cloud computing provides high quality service with low cost and scalability with less requirement of hardware and software management. Security plays a vital role in cloud as data is handled by third party hence security is the biggest concern to matter. This proposed mechanism focuses on the security issues on the cloud. As the file is stored at a particular location which might get affected due to attack and will lost the data. So, in this proposed work instead of storing a complete file at a particular location, the file is divided into fragments and each fragment is stored at various locations. Fragments are more secured by providing the hash key to each fragment. This mechanism will not reveal all the information regarding a particular file even after successful attack. Here, the replication of fragments is also generated with strong authentication process using key generation. The auto update of a fragment or any file is also done here. The concept of auto update of filles is done where a file or a fragment can be updated online. Instead of downloading the whole file, a fragment can be downloaded to update. More time is saved using this methodology.
The Development of Practicum Models Using Simulation Programs
Authors: Hendri Muhammad , Lindawati Sri , Ikhsan Muhammad
Published: July 2020

Practicum is a learning experience in which students interact with the material or with secondary data sources to observe and understand the natural world. At this time practicum activities carried out in the laboratory using laboratory tools. The simulation program is an application program designed to simulate an event in accordance with the actual incident, using a simulation program practicum activity can be done outside of the laboratory in order to save space and cost, the most important thing is that students can perform repetitive activities again.