bluuebunny/crossref_metadata_2025 huggingface dataset:
Lessons learned in the development of a nurse‐led family centered approach to developing a holistic comprehensive clinic and integrative holistic care plan for children with cerebral palsy
Authors: Love Lamara , Newmeyer Amy , Ryan‐Wenger Nancy , Noritz Garey , Skeens Micah A.
Published: August 2021

Clinical Problem

Children with cerebral palsy (CP) typically receive care from multiple specialty providers including Developmental Pediatrics, Orthopedics, Physical Medicine, Occupational Therapy, Physical Therapy, Speech Therapy, Clinical Social Work, Clinical Nutrition, Nursing and Orthotists, which often require many individual visits to the hospital annually. The potential for conflicting plans of care is increased by this fragmented approach, which may lead to duplication of services and increased healthcare costs.

Solution

To address the problem and alleviate burden for families, the Comprehensive Cerebral Palsy Program implemented a nurse‐led comprehensive interdisciplinary team approach to provide optimal care coordination to patients and families, using an Integrative Holistic Care Plan (IHCP). During an annual 3–4 hour Comprehensive CP Clinic appointment, a team of specialists meets with the family, and a holistic, evidence‐based plan of care is developed. The family‐centered care plan includes summaries of each discipline's plan of care with individualized goals, recommendations, and evidence‐based outcomes. After the visit, the plan of care is communicated with the family, primary care provider, and other community providers to ensure continuity of care.

Results

Early in the program and electronic IHCP development stage, clinical, and financial outcomes were improved. In addition to significant cost savings, family satisfaction surveys showed continuous improvement in the areas of access, communication, and coordination of care.

Practice Implications

Nurses working in interdisciplinary clinics are in a position to facilitate improved outcomes by developing and implementing a family‐centered care plan that provides a comprehensive holistic approach to impacting the areas of quality, effectiveness, and efficiency of care delivery. The use of an IHCP decreases fragmentation of care and duplication of services leading to healthcare cost savings and enhanced patient satisfaction.
Predisposing factors of daytime sleepiness in obese OSA patients
Authors: Conradt Regina , Redhardt Felicitas , Beutel Björn , Hildebrandt Olaf , Cassel Werner , Kesper Karl , Koehler Julian , Hildebrandt Wulf , Koehler Ulrich
Published: August 2021

Excessive daytime sleepiness is a common symptom in obese patients with obstructive sleep apnea. We investigated predisposing factors of excessive daytime sleepiness by comparing obese non‐sleepy with sleepy patients with obstructive sleep apnea. Excessive daytime sleepiness was determined by the Epworth Sleepiness Scale in 43 patients (34 men and 9 women) with obstructive sleep apnea (apnea–hypopnea index ≥ 15 events per hr) and obesity (body mass index ≥ 30 kg m−2). Two subgroups were formed with (Epworth Sleepiness Scale ≥ 11) and without (Epworth Sleepiness Scale < 11) excessive daytime sleepiness. The concept of excessive daytime sleepiness was compared with other established daytime performance tests (Stanford Sleepiness Scale, Multiple Sleep Latency Test, Pupillographic Sleepiness Test, Marburger Vigilance test). Associations were calculated between excessive daytime sleepiness and demographic, metabolic and polysomnographic data. We included 19 sleepy patients (mean Epworth Sleepiness Scale score 15.2) and 24 non‐sleepy patients (mean Epworth Sleepiness Scale score 5.8). Epworth Sleepiness Scale was negatively correlated with age and morning cortisol. Epworth Sleepiness Scale was positively correlated with body mass index, Stanford Sleepiness Scale, Beck’s Depression Inventory and Marburger Vigilance test. Sleepy obese patients were significantly younger (mean 49.1 years), showed lower morning cortisol level (mean 9.41 μg L−1) and a trend to higher body mass index (mean 37.5 kg m−²) compared with non‐sleepy obese patients (mean: 59.3 years, 5.7 μg L−1, 34.6 kg m−², respectively). Many different excessive daytime sleepiness phenotypes are probably enclosed in obese patients with obstructive sleep apnea. Epworth Sleepiness Scale scores were best reflected by the objective Marburger Vigilance test results. The objective test can be particularly useful in cohorts where subjective reports are unreliable and operational readiness is paramount. Sleepy and non‐sleepy obese patients with obstructive sleep apnea were similar in all polysomnographic parameters. Sleepy patients were younger, heavier and showed lower morning cortisol levels than non‐sleepy patients.
Mg isotope variations in microphases of unequilibrated enstatite chondrites
Authors: Sikdar Jinia , Rai Vinai K.
Published: August 2021

Magnesium, a major mineral‐forming element of the inner solar system, is partitioned between the silicate and the unique sulfidic phases (niningerite, MgS) of enstatite chondrites (ECs) owing to the formation of EC under exceptionally reducing conditions. In this study, we have carried out mineralogical characterization of the distinct Mg‐ and Si‐bearing phases of unequilibrated ECs (EH3). To evaluate the Mg isotope variations in such reduced planetary bodies, we have analyzed the Mg isotope composition of several enstatitic silicate phases, matrices (composed of mixed proportions of silicate and sulfidic phases), and bulk meteorite fractions micro milled from three EH3 chondrites. We found that the stable Mg isotope composition (expressed as δ25Mg) of the microphase separates of EH3 chondrites ranged from −0.216 ± 0.014‰ to −0.094 ± 0.014‰. Despite the dispersion in Mg isotope values, the average δ25Mg of the silicate fractions of the studied EH3 chondrites was similar to its matrix and bulk meteorite fractions. Mass‐dependent Mg isotope fractionation was evinced among the phase separates of EH3 chondrites with the slope of the fractionation line on a δ25Mg versus δ26Mg plot being closer to kinetic fractionation trend. Experimental and theoretical considerations hint that Mg isotope exchange between the silicate and sulfide phases might have generated the observed Mg isotope variations among the microphase separates of EH3 chondrites. Based on our Mg isotope data, in combination with the Si isotope composition obtained in the same aliquot of silicate–matrix fractions of EH3 chondrites and its subsolar Al/Si ratio, we suggest that the high abundance of Si in EC (due to the partitioning of Si among diverse silicates, silica, and metallic phases) and the loss of Mg and refractory components from EC‐forming regions could explain the lower Mg/Si ratio of EC compared to that of ordinary and carbonaceous chondrites.
A transposon‐mediated reciprocal translocation promotes environmental adaptation but compromises domesticability of wild soybeans
Authors: Wang Weidong , Chen Liyang , Wang Xutong , Duan Jingbo , Flynn Rachel D. , Wang Ying , Clark Chancelor B. , Sun Lianjun , Zhang Dajian , Wang Diane R. , Kessler Sharon A. , Ma Jianxin
Published: August 2021

Large structural variations frequently occur in higher plants; however, the impact of such variations on plant diversification, adaptation and domestication remains elusive.

Here, we mapped and characterised a reciprocal chromosomal translocation in soybeans and assessed its effects on diversification and adaptation of wild (Glycine soja) and semiwild (Glycine gracilis) soybeans, and domestication of cultivated soybean (Glycine max), by tracing the distribution of the translocation in the USDA Soybean Germplasm Collection and population genetics analysis.

We demonstrate that the translocation occurred through CACTA transposon‐mediated chromosomal breakage in wild soybean c. 0.34 Ma and is responsible for semisterility in translocation heterozygotes and reduces their reproductive fitness. The translocation has differentiated Continental (i.e. China and Russia) populations from Maritime (i.e. Korea and Japan) populations of G. soja and predominately adapted to cold and dry climates. Further analysis revealed that the divergence of G. max from G. soja predates the translocation event and that G. gracilis is an evolutionary intermediate between G. soja and G. max.

Our results highlight the effects of a chromosome rearrangement on the processes leading to plant divergence and adaptation, and provides evidence that suggests G. gracilis, rather than G. soja, as the ancestor of cultivated soybean.
Twelve‐Month results from multicenter, open‐label, randomized controlled clinical trial comparing differential target multiplexed spinal cord stimulation and traditional spinal cord stimulation in subjects with chronic intractable back pain and leg pain
Authors: Fishman Michael , Cordner Harold , Justiz Rafael , Provenzano David , Merrell Christopher , Shah Binit , Naranjo Julian , Kim Philip , Calodney Aaron , Carlson Jonathan , Bundschu Richard , Sanapati Mahendra , Mangal Vipul , Vallejo Ricardo
Published: August 2021

Background

Spinal cord stimulation (SCS) is a well‐established treatment for chronic intractable pain of the trunk and/or limbs; however, low back pain (LBP) is difficult to treat using traditional SCS. Differential Target Multiplexed spinal cord stimulation (DTM SCS) is an advanced approach inspired from animal studies demonstrating improved pain‐related behavior and pain‐relevant biological processes.

Objective

The purpose of this study was to compare the effectiveness of DTM SCS and traditional SCS in treating chronic LBP and leg pain (LP).

Methods

This prospective, postmarket randomized controlled trial compared DTM SCS to traditional SCS in patients with chronic LBP and LP. Primary end point was LBP responder rate (percentage of subjects with ≥ 50% relief) at 3 months. Noninferiority and superiority were assessed. Other outcomes included mean change in back and leg pain, responder rates, disability, global health, satisfaction, and safety profile throughout the 12‐month follow‐up.

Results

One hundred twenty‐eight subjects were randomized across 12 centers (67 DTM SCS and 61 traditional SCS). Of the 94 patients implanted, 46 subjects in each group completed the 3‐month assessment. LBP responder rate of 80.1% with DTM SCS was superior to 51.2% with traditional SCS (p = 0.0010). Mean LBP reduction (5.36 cm) with DTM SCS was greater than reduction (3.37 cm) with traditional SCS (p < 0.0001). These results were sustained at 6 months and 12 months. Safety profiles were similar between treatment groups.

Conclusion

Superiority of DTM SCS compared with traditional SCS for chronic LBP was demonstrated. Clinical improvements provided by DTM SCS were sustained over 12 months and are expected to significantly impact the management of chronic LBP.
Factor structure, internal reliability, and construct validity of the Brief Resilience Scale (BRS): A study on persons with serious mental illness living in the community
Authors: Sánchez Jennifer , Estrada‐Hernández Noel , Booth Jamar , Pan Deyu
Published: August 2021

Objectives

Resilience, the ability to bounce back from a stressful situation, is a valuable asset for aiding adults with serious mental illness (SMI) in navigating the recovery process. People with SMI experience stress, including traumatic experiences at disproportionate rates. The purposes of this study were to examine the factor structure, internal reliability, and construct validity of the Brief Resilience Scale (BRS) among adults with SMI living in the community.

Design

A cross‐sectional survey design was used. Exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and correlational analyses were employed.

Methods

Three hundred fifteen adults with SMI were recruited for two studies (Sample 1, n = 122; Sample 2, n = 193) from three states. All participants completed the BRS along with nearly identical positive psychology‐ and psychopathology‐related measures.

Results

EFA revealed the BRS was unidimensional and explained 61.20% of the variance. Results from seven CFA models suggested a bifactor structure for the BRS, which fit the data best. Internal reliability of the BRS was computed to be within acceptable ranges (α = .87, ω = .90). The BRS was positively correlated with measures of positive coping and life satisfaction, providing convergent validity. Divergent validity was supported by negative correlations between the BRS and measures of psychiatric symptoms, succumbing, and self‐stigma.

Conclusions

The BRS is a valid measure that can be used by clinical and research professionals to assess levels of resilience in adults with SMI at baseline and across time.

Practitioner points

The Brief Resilience Scale (BRS) was developed to measure a person’s ability to bounce back from stressful situations.

The BRS was examined in adults with serious mental illness living in the community.

The BRS presented a bifactor structure measuring resilience (an outcome) and correlated with positive psychology‐ and psychopathology‐related measures.

The BRS can be used by practitioners to assess levels of resilience in their clients at baseline and over time to evaluate the effectiveness of therapeutic interventions.
Exploring factors associated with personal recovery in bipolar disorder
Authors: Kraiss Jannis T. , ten Klooster Peter M. , Frye Emily , Kupka Ralph W. , Bohlmeijer Ernst T.
Published: August 2021

Background

Personal recovery is increasingly recognized as important outcome for people with bipolar disorder (BD), but research addressing associated factors of personal recovery in this group remains scarce. This study aimed to explore the association of sociodemographic variables, social participation, psychopathology, and positive emotion regulation with personal recovery in BD.

Methods

Baseline data from a randomized controlled trial and survey data were combined (N = 209) and split into a training (n = 149) and test sample (n = 60). Block‐wise regression analyses and model training were used to determine the most relevant predictors. The final parsimonious model was cross‐validated in the test sample.

Results

In the final parsimonious model, satisfaction with social roles (β = .442, p < .001), anxiety symptoms (β = −.328, p < .001), manic symptoms (β = .276, p < .001), and emotion‐focused positive rumination (β = .258, p < .001) were independently associated with personal recovery. The model explained 57.3% variance in personal recovery (adjusted R2 = .561) and performed well in predicting personal recovery in the independent test sample (adjusted R2 = .491).

Conclusions

Our findings suggest that especially social participation, anxiety and positive rumination might be relevant treatment targets when aiming to improve personal recovery.

Practitioner points

Personal recovery is considered an increasingly important outcome for people with chronic mental health conditions, including bipolar disorder.

We found that anxiety and manic symptoms as well as positive rumination and social participation were independently associated with personal recovery in bipolar disorder.

Therefore, these outcomes might be relevant treatment targets when aiming to improve personal recovery in bipolar disorder.

Possible interventions to improve these outcomes are discussed, including supported employment and vocational rehabilitation for social participation and exercising with savoring strategies to increase positive rumination.
Determining optimal photogrammetric adjustment of images obtained from a fixed‐wing UAV
Authors: Pargieła Karolina , Rzonca Antoni
Published: August 2021

Photogrammetry with unmanned aerial vehicles (UAVs) has become a source of data with extensive applications. The accuracy is of utmost significance, yet the intention is also to find the best possible solutions for data acquisition in economic terms. The objective of the research was the analysis of various variants of the bundle block adjustment. The analysis concerns data which is diversified with respect to the type of shutter (rolling/global), the measurement of external orientation elements, the overlap and the number of ground control points (GCPs).
A multilayer mobility network approach to inferring urban structures using shared mobility and taxi data
Authors: Zhang Junwei , Liu Xintao , Senousi Ahmad M.
Published: August 2021

Developing data‐driven approaches to understanding urban structures is important for urban planning. However, it is still challenging to combine different transport datasets into a unified framework and reveal the dynamics of urban structures with the emergence of shared mobility. In this study, we propose two empirical multilayer networks to infer and profile urban structures. First, a temporal network is constructed using traditional taxi data over years to reveal the urban structures. Second, a multimodal network is constructed using shared mobility and traditional taxi data over a year to reveal the urban structures. The proposed networks are tested in New York City using a large volume of shared bike, shared vehicle, and traditional taxi data. The multilayer network centralities and community detection enable us to profile the characteristics of the urban flows and urban structure. The analytical results allow us to acquire a better understanding of urban structures from a multilayer perspective, and also provide a geocomputation framework that is useful for urban and geographic researchers.
Necropolis of Palazzone in Perugia: Geomatic data integration for 3D modeling and geomorphology of underground sites
Authors: Radicioni Fabio , Stoppini Aurelio , Tosi Grazia , Marconi Laura
Published: August 2021

This article presents and analyzes the methodologies and results of the survey of an Etruscan archaeological site (the Necropolis of Palazzone) with tombs dug into the ground on a slope belonging to the Perugia hill, in central Italy. The survey presented particular difficulties, since the underground rooms are numerous, small, and not illuminated, and it required the creation of a unique geometric model, including both the underground and the external area. Therefore, different techniques and tools of geomatics were used: GNSS, total station 3D survey, terrestrial laser scanning, and digital photogrammetry, with the consequent need to manage and integrate a large amount of data. It was also possible to compare the results acquired with different methods, such as the digital terrain model of the external surface obtained by unmanned aerial vehicle photogrammetry or by kinematic GNSS survey. The survey had a dual purpose: to acquire documentation of the archaeological site geometry to be imported into GIS; and to support knowledge of the geomorphologic aspects of the area, as the tombs—carved into the sedimentary formations—allow us to observe and study the local stratigraphy in detail, while the geomatic surveys put the rooms in geometric relation to each other in 3D space.
An Unconventional Method for the Diagnosis and Study of Generator Rotor Thermal Bows
Authors: Chatterton Steven , Pennacchi Paolo , Vania Andrea
Published: August 2021

The rotor thermal sensitivity often affects the dynamic behavior of power unit generators. Owing to this phenomenon, increments of field current and other process parameters that are related to it may cause a shaft thermal bow and significant changes in the synchronous vibration. This symptom can also be caused by many other common malfunctions that affect rotating machines. Therefore, diagnostic techniques aimed at identifying the actual fault are very useful for optimizing maintenance activities. The thermal sensitivity of generator rotors can be deemed as a fault because it is commonly caused by a local deterioration of the winding insulation as well as by jamming phenomena between conductors and rotor slots, caused by friction forces due to the different thermal expansions of these components. This paper shows the results obtained by applying a diagnostic method, based on multiple linear regression models, which has been developed for the analysis of generator vibrations caused by thermal sensitivity. Nevertheless, nonlinear relationships between vibration and process parameters have also been taken into account. The capabilities of this diagnostic technique have been validated using the analysis of experimental data collected in a power plant. The results of this investigation are shown and discussed in the paper.
Unfolded Protein Response Inhibition Reduces Middle East Respiratory Syndrome Coronavirus-Induced Acute Lung Injury
Authors: Sims Amy C. , Mitchell Hugh D. , Gralinski Lisa E. , Kyle Jennifer E. , Burnum-Johnson Kristin E. , Lam Mariam , Fulcher M. Leslie , West Ande , Smith Richard D. , Randell Scott H. , Metz Thomas O. , Sheahan Timothy P. , Waters Katrina M. , Baric Ralph S.
Published: August 2021

Middle East respiratory syndrome coronavirus (MERS-CoV) causes severe atypical pneumonia in infected individuals, but the underlying mechanisms of pathogenesis remain unknown. While much has been learned from the few reported autopsy cases, an in-depth understanding of the cells targeted by MERS-CoV in the human lung and their relative contribution to disease outcomes is needed.
Evaluating odour and urinary sex preferences in the big brown bat (Eptesicus fuscus)
Authors: Greville Lucas J.S. , Tam Audrey G. , Faure Paul A.
Published: August 2021

Olfactory cues provide detailed information to mammals regarding conspecifics. Bats may identify species, colony membership, and individuals using olfaction. Big brown bats (Eptesicus fuscus (Palisot de Beauvois, 1796)) live in mixed-sex colonies and must differentiate between sexes to locate mates. We hypothesized that odour cues convey information about sex. In experiment 1, adult E. fuscus were recorded exploring a Y-maze that contained general body odours sampled from male or female conspecifics. One group of subjects was habituated to the Y-maze prior to experimental trials, whereas a second group was not. Bat exploration and the proportion of time spent near each scent were used as preference indicators for the body odour of a particular sex. Experiment 2 followed similar procedures except the odour cue tested was urine from either male or female conspecifics and without Y-maze habituation. Results found no evidence that E. fuscus prefer the body odours of a given sex, but females did prefer the odour of male urine. Non-habituated animals in experiment 1 were more likely to explore the Y-maze and approach a stimulus scent compared with habituated bats. These findings have important implications for courtship and mating behaviour in bats, as well for designing future behavioural studies.
Cosmic voids and filaments from quantum gravity
Authors: Ambjørn J. , Drogosz Z. , Gizbert-Studnicki J. , Görlich A. , Jurkiewicz J. , Németh D.
Published: August 2021

Using computer simulations, we study the geometry of a typical quantum universe, i.e., the geometry one might expect before a possible period of inflation. We display it using coordinates defined by means of four classical scalar fields satisfying the Laplace equation with nontrivial boundary conditions. They are a close analogue of the harmonic coordinate condition used in the context of GR (Kuchar and Torre in Phys Rev D 43:419–441, 1991). It is highly nontrivial that these ideas can be applied to understand the structures which appear in very irregular and fluctuating geometries. The field configurations reveal cosmic web structures surprisingly similar to the ones observed in the present-day universe.
When Will Robots Be Sentient?
Authors: Bronfman Zohar , Ginsburg Simona , Jablonka Eva
Published: August 2021

The current failure to construct an artificial intelligence (AI) agent with the capacity for domain-general learning is a major stumbling block in the attempt to build conscious robots. Taking an evolutionary approach, we previously suggested that the emergence of consciousness was entailed by the evolution of an open-ended domain-general form of learning, which we call unlimited associative learning (UAL). Here, we outline the UAL theory and discuss the constraints and affordances that seem necessary for constructing an AI machine exhibiting UAL. We argue that a machine that is capable of domain-general learning requires the dynamics of a UAL architecture and that a UAL architecture requires, in turn, that the machine is highly sensitive to the environment and has an ultimate value (like self-persistence) that provides shared context to all its behaviors and learning outputs. The implementation of UAL in a machine may require that it is made of “soft” materials, which are sensitive to a large range of environmental conditions, and that it undergoes sequential morphological and behavioral co-development. We suggest that the implementation of these requirements in a human-made robot will lead to its ability to perform domain-general learning and will bring us closer to the construction of a sentient machine.
Real-time Global Illumination Decomposition of Videos
Authors: Meka Abhimitra , Shafiei Mohammad , Zollhöfer Michael , Richardt Christian , Theobalt Christian
Published: August 2021

We propose the first approach for the decomposition of a monocular color video into direct and indirect illumination components in real time. We retrieve, in separate layers, the contribution made to the scene appearance by the scene reflectance, the light sources, and the reflections from various coherent scene regions to one another. Existing techniques that invert global light transport require image capture under multiplexed controlled lighting or only enable the decomposition of a single image at slow off-line frame rates. In contrast, our approach works for regular videos and produces temporally coherent decomposition layers at real-time frame rates. At the core of our approach are several sparsity priors that enable the estimation of the per-pixel direct and indirect illumination layers based on a small set of jointly estimated base reflectance colors. The resulting variational decomposition problem uses a new formulation based on sparse and dense sets of non-linear equations that we solve efficiently using a novel alternating data-parallel optimization strategy. We evaluate our approach qualitatively and quantitatively and show improvements over the state-of-the-art in this field, in both quality and runtime. In addition, we demonstrate various real-time appearance editing applications for videos with consistent illumination.
Infrastructures and Laws: Publics and Publicness
Authors: Kingsbury Benedict , Maisley Nahuel
Published: August 2021

Infrastructures are technical-social assemblages infused in politics and power relations. They spur public action, prompting increased scholarly reference to the practices of infrastructural publics. This article explores the normative and conceptual meanings of infrastructures, publics, and infrastructural publics. It distills from political theory traditions of Hannah Arendt, Jürgen Habermas, and Nancy Fraser a normative ideal of publics composed of the persons subject to a particular configuration of power relations that may significantly affect their autonomy. Autonomy can be seriously affected not only by existing or planned infrastructures, with their existing or anticipating users and workers and objectors, but also by the lack of an infra-structure or by the terms of infrastructural exclusions, rationings, channelings, and fiscal impositions. Legal-institutional mechanisms provide some of the means for infrastructural publics to act and be heard, and for conflicts between or within different publics to be addressed, operationalizing legal ideas of publicness. These mechanisms are often underprovided or misaligned with infrastructure. One reason is the murkiness and insecurity of relations of infrastructural publics to legal publics constituted or framed as such by institutions and instruments of law and governance. We argue that thoughtful integration of infrastructural and legal scaling and design, accompanied by a normative aspiration to publicness, may have beneficial effects.
Bilateral Ampiginous Choroiditis following Presumed SARS-CoV-2 Infection
Authors: Tom Elysse S. , McKay K. Matthew , Saraf Steven S.
Published: August 2021

Purpose. To report a case of bilateral ampiginous choroiditis following presumed SARS-CoV-2 infection. Case Description. A 25-year-old woman presented with metamorphopsia and a paracentral scotoma in her left eye. She endorsed night sweats, headache, and new-onset anosmia beginning 1 week before her visual symptoms. She also had multiple confirmed ill COVID-19 contacts at her workplace before the onset of her symptoms. Funduscopic examination and multimodal imaging revealed placoid lesions in the macula and midperiphery of both eyes consistent with ampiginous choroiditis. COVID-19 antibody testing returned positive for IgG, and an extensive systemic evaluation was otherwise unremarkable. She was treated with oral prednisone and azathioprine with stabilization of the retinal lesions and no progression of her symptoms. Conclusions. Ampiginous choroiditis is an inflammatory chorioretinopathy with an unknown pathogenic mechanism that often necessitates early immunomodulatory therapy. This report suggests that SARS-CoV-2 infection may trigger chorioretinal inflammation in susceptible hosts.
Design of a High-Power UWB Antenna Incorporating a Solid Dielectric for Electronic Warfare Applications
Authors: Hyvernaud Jérémy , Martinod Edson , Bertrand Valérie , Négrier Romain , Andrieu Joël , Lalande Michèle
Published: August 2021

In this paper, a high-power ultrawideband antenna is presented for the purpose of remotely neutralizing improvised explosive devices. The developed antenna has a bandwidth between 230 MHz and 2 GHz, as well as a maximum realized gain of 18.7 dB. The antenna structure incorporates a solid dielectric (HDPE 1000) so that it can be powered, without risk of a possible breakdown voltage, by a Marx generator which delivers a bipolar pulse with a peak amplitude of +/−250 kV, a rise time of 170 ps, and a duration of 1 ns. The radiated electric field obtained in simulation is, respectively, 1 MV/m peak and 126 kV/m peak at a distance of 1 m and 10 m.
Fixed Point Approximation of Monotone Nonexpansive Mappings in Hyperbolic Spaces
Authors: Kalsoom Amna , Saleem Naeem , Işık Hüseyin , Al-Shami Tareq M. , Bibi Amna , Khan Hafsa
Published: August 2021

Fixed points of monotone

α

-nonexpansive and generalized

β

-nonexpansive mappings have been approximated in Banach space. Our purpose is to approximate the fixed points for the above mappings in hyperbolic space. We prove the existence and convergence results using some iteration processes.
Research on Dynamic Stability Optimization of Rock Spreader considering Prevention of Geological Subsidence and Local Collapse in Reclamation Area
Authors: Kou Baofu , Huo Pengliang , Shi Xin
Published: August 2021

The uneven stacking of waste rock materials caused by the dynamic instability of rock spreaders cannot be ignored for geological subsidence and local collapse in reclamation areas. Based on the dynamic stability of the existing rock spreader, combined with the actual application conditions, the load conditions of the rock spreader are analyzed. The static and dynamic analysis and optimization of the key structures such as the receiving arm, the discharging arm, and the main tower are carried out by using the topology optimization method. The optimized virtual prototype of the whole machine is established to verify its rationality. The research results show that the total weight of key parts such as receiving boom, discharging boom, and the main tower is reduced by about 4.5% (4650 kg), the lower‐order vibration frequencies below the fifth order of those parts are not within the resonance range, and the stability of the whole machine is greatly improved, which fundamentally solves the problem of uneven rock stacking caused by impact stability. And, the maximum stress and deflection of the whole machine under the worst working conditions meet the actual requirements. The research ideas and conclusions can provide solutions to prevent the subsidence or local collapse of reclamation areas caused by uneven stacking materials.
Geometry-Based Channel Modelling for Vehicle-to-Vehicle Communication: A Review
Authors: Chebil Jalel , Zormati Hanene , Taher Jamel Belhadj
Published: August 2021

Vehicle-to-Vehicle (V2V) communication has received a lot of attention over recent years since it can improve the efficiency and safety of roads for drivers and travellers besides other numerous applications. However dynamic nature of this environment makes it difficult to come up with a suitable wireless communication channel model that can be used in the simulation of any V2V communication system. This paper reviews the recent techniques used for geometry-based stochastic channel modelling for V2V communication. It starts by presenting the various classes of wireless communication channel models available in the literature with more emphasis on the Geometry-Based Stochastic channel Models (GBSM). Then the paper discusses in more detail the state of the art of the regular-shaped and irregular-shaped GBSM for the two- and three-dimensional models. Finally, main challenges are identified and future research directions in this area are recommended.
PEEK Implants: An Innovative Solution for Facial Aesthetic Surgery
Authors: Narciso Rocco , Basile Emanuela , Bottini Davide Johan , Cervelli Valerio
Published: August 2021

The authors present a case report showing their experience with the use of PolyEtherEtherKetone (PEEK) implants as an innovative solution for the skeleton and soft tissues’ reshaping in facial aesthetic plastic surgery. This technique offers the surgeon a reliable and effective way to answer patients’ request of increasing volume and reshaping the malar area. A fifty-year-old patient complaining about hypoplasia of the malar area, after undergoing three operations of silicon implants’ placement and replacement, was still unsatisfied about the symmetry and feeling through the skin of the lower lid, the rim of the prostheses. The authors suggested the use of bone-anchored PEEK implants, to increase the volume and reshape the malar area by a skeleton and soft tissue camouflage. The treatment was planned and previewed on the preop 3-dimensional CT scans for the customization of the implants. Although no cases are reported in international literature on the use of this material in facial aesthetic surgery, this technique seems to offer a safe and effective solution for the treatment of patients asking to increase and modify the shape of their malar area. Custom made PEEK implants are already used in craniofacial reconstructive bony surgery with good results, and 3D CT scan planning is widely used in these cases. No complications were reported in the case reported and the outcomes seem to the authors and to the patient being, finally, satisfactory.
Serum Neuropeptide Y: A Potential Prognostic Marker of Intracerebral Hemorrhage
Authors: Sun Weiming , Zhang Zhenxing , Feng Xu , Sui Xin , Miao Ye
Published: August 2021

Objective. Neuropeptide Y (NPY), a 36-amino acid neuromodulator, is mainly secreted by neurons in the central and peripheral nervous systems, which participate in the regulation of a series of physiological processes. However, there are few studies on its correlation with intracranial hemorrhage (ICH). The purpose of this study is to determine whether the serum NPY level is related to the prognosis of ICH. Methods. 364 patients diagnosed with ICH were included in the current study. The demographics, anthropometrics, medical history, clinical severity, and laboratory data are collected. Enzyme-linked immunoassay (ELISA) was used to detect the serum NPY level of each patient upon admission. Three months after the occurrence of ICH, we used the modified Rankin scale (mRS) to evaluate the prognosis of patients, and

mRS
>
2

was defined as a poor prognosis. Results. A total of 364 patients with ICH were included in the study, including 140 patients with a good prognosis and 224 patients with a poor prognosis. Compared with patients with a poor prognosis, ICH patients with a good prognosis have a lower baseline National Institutes of Health Stroke Scale (NIHSS) score (

p
=
0.036

) and smaller hematoma volume (

p
=
0.039

). The results of ELISA showed that compared with patients with a poor prognosis, ICH patients with a good prognosis had lower serum NPY levels (

19.4
±
3.7

vs.

27.6
±
3.3

 ng/ml,

p
<
0.001

). Linear correlation analysis showed that the serum NPY level of ICH patients was significantly positively correlated with the baseline NIHSS score (

r
=
0.413

,

p
=
0.041

) and hematoma volume (

r
=
0.308

,

p
=
0.026

). Receiver operating characteristic (ROC) curve analysis showed that the sensitivity of the serum NPY level to predict the prognosis of ICH was 70.9%, the specificity was 72.6%, and the cut-off value was 24.2 ng/ml. Conclusions. The serum NPY level may be used as a predictor of ICH prognosis.
In Vitro Evaluation of the Effect of Different Luting Cements and Tooth Preparation Angle on the Microleakage of Zirconia Crowns
Authors: Ebadian Behnaz , Fathi Amirhossein , Savoj Melika
Published: August 2021

Introduction. Discrepancy between the crown border and prepared tooth margin leads to a microleakage that eases the penetration of microorganisms and causes the dissolution of luting cement consequently. Several factors should be considered to achieve optimal fitness, including tooth preparation taper and type of cementing agent. The study aimed to determine the relation of tooth preparation taper and cement type on the microleakage of zirconia crowns. Materials and Methods. Fifty-six freshly extracted premolars without caries and restorations were selected as the study sample and divided into two groups of different tapering degrees (6 and 12 degrees). Zirconia copings were designed and fabricated by the CAD/CAM system. The samples were divided into four subgroups for cementation, and each subgroup was cemented with a different luting cement (n = 7). After 5000 thermocycles at 5°C–55°C and dye penetration, the specimens were sectioned in the mid-buccolingual direction, and a digital photograph of each section was taken under a stereomicroscope. Data were analyzed by the Kruskal–Wallis and Mann–Whitney tests (α = 0.05). Results. The results showed significant differences among the four types of luting cement in marginal permeability (PV < 0.001). Regardless of the type of cement, the 12-degree tapering resulted in a lower microleakage (46.4% without microleakage) with statistically significant differences from the 6-degree tapering (PV = 0.042). Conclusion. Within the limitations of this study, increasing the tapering degree of the prepared tooth for CAD/CAM zirconia copings improved the marginal fit and decreased the microleakage score. In addition, total-etch resin cement indicated the least microleakage.
Some New Aspects of Metric Fixed Point Theory
Authors: Javed Khalil , Uddin Fahim , Işık Hüseyin , Al-shami Tareq M. , Adeel Faizan , Arshad Muhammad
Published: August 2021

In this manuscript, we prove fixed point results in

R

m

-metric spaces endowed with an amorphous binary relation. Moreover, we give an example to highlight the utility of our main results. Finally, we apply our result to examine the existence and uniqueness of the solution for a Fredholm integral equation.
A self adaptive new crossover operator to improve the efficiency of the genetic algorithm to find the shortest path
Authors: Chattoraj Mrinmoyee , Vinayakamurthy Udaya Rani
Published: August 2021

Route planning is an important part of road network. To select an optimized route several factors such as flow of traffic, speed limits of road. are concerned. Total cost of such a network depends on the number of junctions between the source and the destination. Due to the growth of the nodes in the network it becomes a tough job to determine the exact path using deterministic algorithms so in such cases genetic algorithms (GA) plays a vital role to find the optimized route. Crossover is an important operator ingenetic algorithm. The efficiency of thegenetic algorithmis directlyinfluenced by the time of a crossover operation. In this paper a new crossoveroperator closest-node pairing crossover (CNPC) is recommended which is explicitly designed to improve the performance of the genetic algorithm compared to other well-known crossover operators such as point based crossover and order crossover. The distance aspect of the network problem has been exploited in this crossover operator. This proposed technique gives a better result compared to the other crossover operator with the fitness value of 0.0048. The CNPC operator gives better rate of convergence compared to the other crossover operators.
Performance analysis of encryption and decryption algorithm
Authors: Pronika Pronika , Tyagi S. S.
Published: August 2021

In this tumultuous 21st century, we are surrounding by lots of applications such as social media websites all over the internet or this era can also define as digital era in which everything is accessible over the internet. There are billions of internet users all over the world and they share their information over the same and because of this lots of people intentionally trying to steal the confidential data of other people, so it is always advisable to share and store data in encrypted form. In this paper, we discuss different encryption and decryption algorithms and compare them with respect to time take by these algorithms for encrypting and decrypting different sizes of files.
Determining subject headings of documents using information retrieval models
Authors: Yulianti Evi , Rahadianti Laksmita
Published: August 2021

Subject heading is a controlled vocabulary that describes the topic of adocument, which is important to find and organize library resources. Assigning appropriate subject headings to a document, however, is a time-consuming process. We therefore conduct a novel study on the effectiveness of information retrieval models, i.e.,language model (LM) andvector spacemodel (VSM), to automatically generate a ranked list of relevant subject headings, with the aim to give a recommendation for librarians to determine the subject headings effectively and efficiently. Our results show that there are a high number of our queries (up to 61%) that have relevant subject headings in the ten top-ranked recommendations and on average, the first relevant subject heading is found at the early position (3rd rank). This indicates that document retrieval methods can help the subject heading assignment process. LM and VSM are shown to have comparable performance, except when the search unit is title, VSM is superior to LM by8-22%. Our further analysis exhibits three faculty pairs that are potential to have research collaboration as their students’ thesis often have overlap subject headings: i) economy and business-social and political sciences, ii) nursing-public health and iii) medicine-public health.
Development of a new system to detect denial of service attack using machine learning classification
Authors: Rasheed Mohammad M. , Faieq Alaa K. , Hashim Ahmed A.
Published: August 2021

Denial of service (DoS) attack is among the most significant types of attacks in cyber security. The objective of this research is to introduce a new algorithm to distinguish normal service requests from the denial of service attacks. Our proposed approach can detect the denial of service attacks by the analysis of the packets sent from the client to the server, which depend on machine learning. Our algorithm collects different datasets of benign network traffic and different types of denial of service attacks, such as DDoS, DoS Hulk, DoS GoldenEye, DoS Slowhttptest and DoS Slowloris, that were used for training. Moreover, our algorithm monitors the network every specific time to find denial of service attack. Our results show that the algorithm can detect the benign cases and distinguish the types of denial of service attack. Furthermore, the results could achieve 99 percentage of correct classification of all selected cases.
Face recognition using enhancement discrete wavelet transform based on MATLAB
Authors: Abdulrahman Asma Abdulelah , Tahir Fouad Shaker
Published: August 2021

In this work, it was proposed to compress the color image after de-noise by proposing a coding for the discrete transport of new wavelets called discrete chebysheve wavelet transduction (DCHWT) and linking it to a neural network that relies on the convolutional neural network to compress the color image. The aim of this work is to find an effective method for face recognition, which is to raise the noise and compress the image in convolutional neural networks to remove the noise that caused the image while it was being transmitted in the communication network. The work results of the algorithm were calculated by calculating the peak signal to noise ratio (PSNR), mean square error (MSE), compression ratio (CR) and bit-per-pixel (BPP) of the compressed image after a color image (256×256) was entered to demonstrate the quality and efficiency of the proposed algorithm in this work. The result obtained by using a convolutional neural network with new wavelets is to provide a better CR with the ratio of PSNR to be a high value that increases the high-quality ratio of the compressed image to be ready for face recognition.
A comparative analysis of metaheuristic algorithms in fuzzy modelling for phishing attack detection
Authors: Nordin Noor Syahirah , Ismail Mohd Arfian , Sutikno Tole , Kasim Shahreen , Hassan Rohayanti , Zakaria Zalmiyah , Mohamad Mohd Saberi
Published: August 2021

Phishing attack is a well-known cyber security attack that happens to many people around the world. The increasing and never-ending case of phishing attack has led to more automated approaches in detecting phishing attack. One of the methods is applying fuzzy system. Fuzzy system is a rule-based system that utilize fuzzy sets and fuzzy logic concept to solve problems. However, it is hard to achieve optimal solution when applied to complex problem where the process of identify the fuzzy parameter becomes more complicated. To cater this issue, an optimization method is needed to identify the parameter of fuzzy automatically. The optimization method derives from the metaheuristic algorithm. Therefore, the aim of this study is to make a comparative analysis between the metaheuristic algorithms in fuzzy modelling. The study was conducted to analyse which algorithm performed better when applied in two datasets: website phishing dataset (WPD) and phishing websites dataset (PWD). Then the results were obtained to show the performance of every metaheuristic algorithm in terms of convergence speed and four metrics including accuracy, recall, precision, and f-measure. 
Control of prosthetic hand by using mechanomyography signals based on support-vector machine classifier
Authors: Ahmed Firas Saaduldeen , Al-jawady Noha Abed-Al-Bary
Published: August 2021

Prosthetic devices are necessary to help amputees achieve their daily activity in the natural way possible. The prosthetic hand has controlled by type of signals such as electromyography (EMG) and mechanomyography (MMG). The MMG signals have represented mechanical signals that generate during muscle contraction. These signals can be detected by accelerometers or microphones and any kind of sensors that can detect muscle vibrations. The contribution of the current paper is classifying hand gestures and control prosthetic hands depends on pattern recognition through accelerometer and microphone are to detect MMG signals. In addition to the cost of prosthetic hand less than other designs. Six subjects are involved. In this present work is the devices. In this study, two of them are amputee subjects. Each subject performs seven classes of movements. Pattern recognition (PR) is used to classify hand gestures. The wavelet packet transform (WPT) and root mean square (RMS) as features extracted from the signals and support vector machine (SVM) as a classifier. The average accuracy is 88.94% for offline tests and 84.45% for online tests. 3D printing technology is used in this study to build prosthetic hands.