bluuebunny/crossref_metadata_2025_split huggingface dataset:
Gute Ärzte braucht das Land – eine erfolgreiche
Strategie wider den drohenden Landärztemangel
Authors: Blank Wolfgang A 
Published: December 2019

Zusammenfassung
Hintergrund Angesichts eines drohenden Ärztemangels im
ländlichen Raum sind Strategien notwendig, um die daraus folgende
Unterversorgung der dort lebenden Bevölkerung zu verhindern.
Ziel der Arbeit Mit dem innovativen Versorgungsprojekt „Gute
Ärzte braucht das Land“ wird ein multimodales Konzept mit 29
Teilprojekten im strukturschwachen Raum implementiert, mit dem junge
Ärzte längerfristig für die Arbeit im ländlichen
Raum gewonnen werden sollen.
Ergebnisse Im Projektzeitraum konnten 5 Ärzte in Weiterbildung
gewonnen werden, über das Projektende hinaus insgesamt 8, von denen 2
mittlerweile je eine der Projektpraxen übernommen haben. Der Teilbereich
des generationenübergreifenden Arbeitens und Lernens wurde als besonders
wichtig erachtet. Von den 29 Teilprojekten wurden 13 (45%) von den
Teilnehmern als sehr wichtig bewertet.
Schlussfolgerung Mit einem überschaubaren organisatorischen und
hohen personellen Aufwand können junge Ärzte über eine
gezielte individuelle fachliche und persönliche Betreuung auch ihrer
Familie für die Tätigkeit auf dem Land erfolgreich gewonnen
werden.
Psychotherapie für taube Patienten durch hörende Psychotherapeuten mittels Gebärdensprachdolmetscher – ein Systematisches Literaturreview zu Forschungsbefunden und Empfehlungen
Authors: Schmidt Steffi , Metzner Franka 
Published: December 2019

ZusammenfassungIn Deutschland haben taube Patienten Anspruch auf Gebärdensprachdolmetscher in der Psychotherapie. Datenbanksuchen ergaben weltweit 1184 Studien zum Thema, von denen 10 in ein systematisches Literaturreview eingeschlossen wurden. Untersucht wurden 1–85 taube Patienten (7–60 J.). Neun Studien zeigten Therapieerfolge. Identifiziert wurden Empfehlungen zu Wissen, Einstellungen, Fähigkeiten und Rahmenbedingungen für hörende Psychotherapeuten und Dolmetscher. Die Datenlage zur Psychotherapie mit Gebärdensprachdolmetscher ist trotz klinischer Relevanz gering und methodisch limitiert.
Hochauflösende Fluoreszenzmikroskopie in lebenden Zellen des Immunsystems unter Raumflugbedingungen
Authors: Thiel Cora S. , Ullrich Oliver 
Published: December 2019

ZUSAMMENFASSUNGZelluläre Prozesse werden durch Änderungen der Gravitationskraft in vielfältiger Weise dauerhaft beeinflusst. Die Möglichkeit der kontinuierlichen Beobachtung dieser Abläufe ist von großer Relevanz. Die Etablierung und Anwendung von hochauflösender Fluoreszenzmikroskopie im Rahmen des FLUMIAS-Experiments erlaubte kontinuierliche Aufnahmen von lebenden Immunzellen an Bord der Forschungsraketenmission TEXUS-54. Gravitationsbedingte Kurzzeitänderungen der Zellmorphologie sowie des Zellskeletts und assoziierte schnelle zelluläre Anpassungsvorgänge konnten in primären menschlichen Makrophagen identifiziert werden. Die hier vorgestellte Möglichkeit der Echtzeitanalyse kann das Wissen über dynamische zelluläre Reaktionen und Adaptationsprozesse an die Weltraumbedingungen enorm erweitern.
The Correspondence of Parent-Reported Measures of Adolescent Alcohol and Cannabis Use with Adolescent-Reported Measures: A Systematic Review
Authors: Piehler Timothy F. , Lee Sun-Kyung , Stockness Ali , Winters Ken C. 
Published: December 2019

Background Valid assessment of adolescent substance use is important in both research and clinical applications. However, the optimal approach to assessing adolescent use remains controversial, particularly with regard to the use of parent-reported measures. Methods Using a systematic review of existing literature, we sought to evaluate the utility of parent measures of adolescent alcohol and cannabis use by examining their correspondence with self-report measures. Furthermore, we investigated study-related variables that may be associated with differing levels of parent –child correspondence. Relevant articles were identified using a systematic search across multiple databases. Results The review revealed generally poor agreement between parent and adolescent reports of alcohol and cannabis use. Parents consistently underestimated use and problems associated with use when compared with adolescents. Community-based (versus clinical) samples, reporting regarding alcohol (versus cannabis), and reporting problems associated with use (versus reports of use/nonuse) were each associated with lower levels of parent –child agreement. Conclusions Recommendations for the optimal use of parent measures of adolescent substance use are provided.
Barriers and Perceived Usefulness of an ECHO Intervention for Office-Based Buprenorphine Treatment for Opioid use Disorder in North Carolina: A Qualitative Study
Authors: Shea Christopher M. , Gertner Alex K. , Green Sherri L. 
Published: December 2019

Background Medication treatment for opioid use disorder (M-OUD) is underutilized, despite research demonstrating its effectiveness in treating opioid use disorder (OUD). The UNC Extension for Community Healthcare Outcomes for Rural Primary Care Medication Assisted Treatment (UNC ECHO for MAT) project was designed to evaluate interventions for reducing barriers to delivery of M-OUD by rural primary care providers in North Carolina. A key element was tele-conferenced sessions based on the University of New Mexico Project ECHO model, comprised of case discussions and didactic presentations using a “hub and spoke” model, with expert team members at the hub site and community-based providers participating from their offices (i.e., spoke sites). Although federal funders have promoted use of the model, barriers for providers to participate in ECHO sessions are not well documented. Methods UNC ECHO for MAT included ECHO sessions, provider-to-provider consultations, and practice coaching. We conducted 20 semi-structured interviews to assess perceived usefulness of the UNC ECHO for MAT intervention, barriers to participation in the intervention, and persistent barriers to prescribing M-OUD. Results Participants were generally satisfied with ECHO sessions and provider-to-provider consultations; however, perceived value of practice support was less clear. Primary barriers to participating in ECHO sessions were timing and length of sessions. Participants recommended recording ECHO sessions for viewing later, and some thought incentives for either the practice or provider could facilitate participation. Providers who had participated in ECHO sessions valued the expertise on the expert team; the team's ability to develop a supportive, collegial environment; and the value of a community of providers interested in learning from each other, particularly through case discussions. Conclusions Despite the perceived value of ECHO, barriers may prevent consistent participation. Also, barriers to M-OUD delivery remain, including some that ECHO alone cannot address, such as Medicaid and private-insurer policies and availability of psychosocial resources.
Screening, Brief Intervention, and Referral to Treatment (SBIRT) Expansion of Training to Non-Physician Healthcare Graduate Students: Counseling Psychology, Nursing, Occupational Therapy, Physical Therapy, and Physician Assistant Studies
Authors: Scudder Ashley T. , Bucey Janet C. , Loughran Mary Jo , Korach Nicholas , Strong Gabrielle , Anderson Jessica , Doas Michelle , Jameson Sarah , O'Keefe Lea 
Published: December 2019

Background Although Screening, Brief Intervention and Referral to Treatment (SBIRT) has now been disseminated in many areas of the United States (US), much remains to be discovered about the training outcomes of non-physician professional trainees such as nurses, physician assistants, physical therapists, occupational therapists, and psychologists following SBIRT training. Methods Training in SBIRT, an evidence-based approach to screening substance use, was embedded into five health science graduate curricula: Physician Assistant Studies, Nursing, Occupational Therapy, Physical Therapy, and Psychology. The SBIRT curriculum was adapted for each profession to include a brief introductory module addressing SBIRT's relevance for each profession, as well as profession-specific case examples and terminology. Using a nonequivalent group design, participants completed pre-and post-training assessments of substance use related attitudes, perceived competency and knowledge. Data were analyzed using a parametric test to compare pre- and post-differences. Results Findings suggest improved attitudes as well as increased perceived competencies and core knowledge following the graduate-curriculum embedded SBIRT training, as well as between group differences on the same variables. Conclusions SBIRT training of non-physician healthcare graduate student-trainees is a feasible training activity and results in improved trainee attitudes, perceived competency, and knowledge. SBIRT training embedded into graduate health science curricula offers an early foundation to this well-established, universal screening approach.
Characterization of protein, long noncoding RNA and microRNA signatures in extracellular vesicles derived from resting and degranulated mast cells
Authors: Liang Yuting , Huang Sheng , Qiao Longwei , Peng Xia , Li Chong , Lin Kun , Xie Guogang , Li Jia , Lin Lihui , Yin Yue , Liao Huanjin , Li Qian , Li Li 
Published: December 2019

ABSTRACTMast cells (MCs) are known to participate in a variety of patho‐physiological processes depending largely on the intragranular mediators and the production of cytokines and chemokines during degranulation. Recently, extracellular vesicles (EVs) have been implicated important functions for MCs, but the components of MC‐derived EVs have not yet been well‐characterized. In this study, we aimed to identify signatures of proteins, long non‐coding RNAs (lncRNAs), and microRNAs (miRNAs) in EVs derived from resting (Rest‐EV) and degranulated (Sti‐EV) MCs by differential ultracentrifugation. Using tandem mass tag (TMT)‐based quantitative proteomics technology and RNA sequencing, we identified a total of 1988 proteins, 397 lncRNAs, and 272 miRNAs in Rest‐EV and Sti‐EV. The proteins include common EVs markers (cytoskeletal proteins), MCs markers (FcεRI and tryptase), and some preformed MCs mediators (lysosomal enzymes) as well. The global expression profiles of lncRNAs and miRNAs identified, for the first time, from Rest‐EV and Sti‐EV, strongly suggest a potential regulatory function of MC‐derived EVs. We have also performed Western blotting and qRT‐PCR analysis to further verify some of the proteins, lncRNAs, and miRNAs identified from Rest‐EV and Sti‐EV. Our findings will help to elucidate the functions of MC‐derived EVs, and provide a reference dataset for future translational studies involving MC‐derived EVs.
Numerical study of heat transfer enhancement in fin and tube heat exchangers using curved semi wavy vortex generators.
Authors: Harikrishnan G , Ebin P S 
Published: December 2019

Abstract
This paper deals with a three dimensional numerical study of heat transfer and pressure drop for fin and tube bank heat exchanger with a vortex generator. A new type of vortex generator, curved semi-wavy vortex generators (CSWVGs) is introduced and compared its performance. The computational domain consists of a small portion between two adjacent fins and air is used as the working fluid. The vortex generators are punched out from the fin surface. the analysis show that with the use of new vortex generators convective heat transfer rate has been increased by increasing the solid to fluid interaction through delaying the boundary layer separation, directing the working fluid to the wake region and bringing vortices into the working fluid. The most favourable position and geometric parameter of the new CSWVGs are found by studying the average Nusselt number and friction factor at various Reynolds ranging from 800 to 2000.
Analysis of the barriers in implementing green supply chain management (GSCM) practices: a hybrid approach
Authors: Sudarshan S V , Priyadarshuan A , Anbuudayasankar S P 
Published: December 2019

Abstract
Green supply chain management (GSCM) is being felt as the need of the day in many industries. This is because of the mounting evidence in favour of global warming and climate change due to human activities. The government is being pressurized by the people and the government in turn pressurizes the industries to adopt green practices. Apart from this there is moral responsibility for the managers of a company to reduce their ecological footprint. Due to these reasons there is a need to implement GSCM practices. As with anything we can observe that there are a lot of barriers that hinder the implementation of green supply chain (GSC) practices. To understand the nature of these barriers a literature survey was conducted on the barriers that affect small and medium scale industries. Fifteen barriers were recognised and literature survey was conducted on the analysis that had previously been done on these barriers. To address these barriers, they have been evaluated using MCDM approaches that are suited for the unique nature of these barriers (i.e., the barriers interact with each other). The effectiveness of removal of each barrier should be considered and should be integrated with a structural model to achieve the goal. For, this purpose SAW, TOPSIS, AHP and ISM have been used.
Heat transfer performance of Al2O3 − ([C4mim][NT f2]) nano-suspension in a 2 − D channel for application in a flat plate solar collector
Authors: Shyam Prasad S , Deepak Selvakumar R 
Published: December 2019

Abstract
IoNanofluids are a recent class of nanotechnology based heat transfer fluids synthesized by suspending nanoparticles in ionic liquids. These IoNanofluids are superior to conventional nanofluids due to their higher thermal stability and are more suitable for high temperature applications. In this study, a numerical analysis of laminar forced convection in a 2-D channel using Al
2
O
3 in ([C4mim][NT f2]) IoNanofluids has been presented. Flow Reynolds number (Re) is varied from 250 to 1000, particle volume fraction ranges from 0 % to 2.5 % and three inlet temperatures of 293 K, 313 K and 333 K have been taken into account. A uniform heat flux of 1000 W m
−2 is applied on the top wall to resemble the scenario in a flat plate solar collector. Governing equations of flow and heat transfer has been solved using a Finite Volume Method based commercial software ANSY S F luent 15.0. Furthermore, unique feature of this study is that the thermo-physical properties of IoNanofluids are considered to be temperature dependent. Results indicate that IoNanofluids provide better cooling than conventional water based coolants. The top surface of the channel experiences a decrease of upto 4 K at an inlet temperature of 333 K. Mean Nusselt number and heat transfer coefficients increase by the addition of nanoparticles to the ionic basefluid. IoNanofluids show better heat transfer enhancement than conventional water based nanofluids at higher temperatures. Hence, it can be concluded that IoNanofluids have a higher potential to be employed in high temperature applications.
Synthesis of silver nanoparticles using Bombyx mori silk fibroin and antibacterial activity
Authors: Harisha K S , Shilpa M , Asha S , Parushuram N , Ranjana R , Narayana B , Sangappa Y 
Published: December 2019

Abstract
In the present work, the stable silver nanoparticles (AgNPs) were produced in situ in the presence of white light, using aqueous silk fibroin (SF) acquired from Bombyx mori silk. The UV-Visible spectral study explained the production of AgNPs by displaying a distinctive surface plasmon resonance band (SPR) at the wavelength 424 nm. The crystalline nature of the produced AgNPs have been identified using XRD study. Nanocrystalline phase of silver (Ag) with face centered cubic (FCC) structure was observed by XRD. The shape evolution and size of the formed nanoparticles was studied using transmission electron microscope. The captured images shown the formed particle were spherical in shape in morphology, and diameter in the range 35 to 40 nm. In the application part, an attempt was made to evaluate the potential antibacterial activity of the biogenic silver nanoparticles against pathogenic bacteria’s such as Escherichia coli and Staphylococcus aureus.
Optimization of Milling Parameters of Gun Metal Using Fuzzy Logic and Artificial Neural Network Approach
Authors: Sasindran Visnu , Vignesh M , Arvind Krishna S , Madusudhanan A , Gokulachandran J 
Published: December 2019

AbstractGrowing importance is dedicated towards effective pollution control in industries and much attention has been focused on industrial applications and practices that consume large amounts of energy and release carbon emissions into the atmosphere. Hence there is an increasing demand for the introduction of green manufacturing techniques into industries, to reduce carbon usage and improve resource utilization. Besides this, industries are looking for effective analysis to reduce costs, improving productivity and product quality. This report proposes a systematic approach to analyse milling parameters of gunmetal using Computer Numeric Controlled (CNC) vertical milling machine. Milling is one of the most advanced and widely used manufacturing processes. Hence an effective analysis to optimize milling process parameters would have a significant positive impact on manufacturing productivity. In this study two soft computing models have been developed using the results obtained from the conduction of the experiments on gunmetal. The experiment is designed using Taguchi Method and the model development is done using Fuzzy Logic and Artificial Neural Network (ANN) approach. The results obtained from both the methods are compared and the error is tabulated. The more suitable model developer is suggested to be used in industries to determine optimum machining parameters for better surface finish, minimal power consumption and carbon emission.
Predictive model development and optimization of surface roughness parameter in milling operations by means of fuzzy logic and artificial neural network approach
Authors: Vignesh M , Sasindran Visnu , Arvind Krishna S , Madusudhanan A , Gokulachandran J 
Published: December 2019

Abstract
The advancement of artificial intelligence in the field of manufacturing has led to innovative methods to enhance productivity. Introduction of soft computing and machine learning techniques in industries have played a major role in reducing costs and increasing process efficiency. Optimization of machining processes such as surface finish brings about significant reduction in manufacturing costs. This research paper develops an optimization model by comparing two approaches – fuzzy logic and artificial neural network (ANN). The experiment is designed using Taguchi approach and the model is developed using fuzzy logic and ANN techniques. The validation is done for both the techniques and the one that provides minimal error is selected for predictive and optimization analysis. The selected method is suggested to be used in industries to optimize surface finish.
Energy harvesting from flow induced vibration; study using a distributed parameter model
Authors: Hari Haran R B , Siddharth S , Adithian A , Santhosh B , Balaram B 
Published: December 2019

AbstractEnergy harvesting from ambient vibration gained attention in the last decade to self power devices which need very low electric input. This finds applications in powering wireless sensor networks, structural health monitoring and human implants. In this work, the possibility of harnessing vibration energy from flow induced vibration is investigated numerically. A fluid stream passing over a bluff body make the body to oscillate due to vortex shedding. Piezoelectric transduction can be used to capture this energy from the oscillator by proper design of a mechanism. The governing equation for the distributed system was obtained using extended Hamilton principle followed by modal analysis. Continuous system model with a rigid support at the joint in the fluid flow is considered. Different wake oscillator models are considered and its effectiveness is investigated. Facchinetti model gives better representative result for the wake. Optimization using genetic alogorthm is performed to identify the values of parameters for maximum energy harvesting and to reduce primary system vibration.
Synthesis of Magnetorheological Fluid using Electrolytic Carbonyl Iron Powder for Enhanced Stability
Authors: Jinaga Rakesh Erappa , Jagadeesha T 
Published: December 2019

Abstract
Magnetorheological (MR) fluids is synthesized using micron-sized electrolytic carbonyl iron (CI) particles and vacuum grease as additive and their rheological behaviours were investigated in terms of particle alignment by controlling magnetic field, also the effect of surfactant Triton X100 was investigated. The overall rheological characteristics and sedimentation characteristics of the synthesised samples of MR fluids were compared with Lord 132DR MR fluid using rotational Rheometer which has magnetic cell. It was establish that combination of electrolytic CI powder with vacuum grease and Triton X-100 improves the stability of the fluid by reducing sedimentation
To Study the Effect of Pretreatment on Dry Sugarcane Leaves
Authors: Patil R. A. , Deshannavar Umesh B. 
Published: December 2019

Abstract
It is anticipated that oil and natural gas will deplete within next 40-50 years. Moreover, the expected environmental damages such as the global warming, acid rain and urban smog due to the production of emissions from these sources have forced the world to try to reduce carbon emissions by 80% and shift towards utilizing a variety of renewable energy resources which are less environmentally harmful such as solar, wind, biomass etc. in a sustainable way. Biomass is one of the earliest sources of energy with very specific properties and abundantly available. The sources of biomass are forestry, agricultural and municipal waste and residues. The agriculture waste as biomass is either destroyed or burnt inefficiently causing air pollution. The use of agriculture waste for making briquettes to generate power can be an alternative solution to the problems related to their disposal & pollution. Various pretreatment techniques change the physical and chemical structure of the lignocellulosic biomass and improve hydrolysis rates. The present work high light on pretreating dry sugarcane leaves (biomass) with physical treatment (Mechanical Comminution) by using aggregate impact test apparatus. It was found that effects of number of drops had upgraded the lignin percentage and and reduces the moisture content and ash content.
Evaluation of Erosive Wear Rate of Al2O3-Cu Composite
Authors: Hussain M Z , Khan U , Sarmah P , Khan S 
Published: December 2019

Abstract
This paper presents the analysis of erosive wear rate of Al2O3-Cu composite with 0, 1, 3, 5 and 7 wt% loading of Al2O3 particles. Composite samples were fabricated through cost effective powder processing technique. The surface morphology of the composites was analysed by Scanning Electron Microscope (SEM) and composition was examined by Energy Dispersive X-Ray (EDX). The density analysis show that the mass density increases with increase in wt% of Al2O3 particles up to 5 wt% and then decreases from 5 wt% to 7 wt% o. The decrease in mass density of composite at 7 wt% of Al2O3 particles may be due to agglomeration of Al2O3 particles. Hardness results show that the addition of Al2O3 particles, the hardness value increases up to an optimum level of wt% of Al2O3. The analysis of erosive wear shows that the erosive wear rate decreases with increasing wt% of Al2O3 from 0 wt% to 5 wt% of Al2O3 particles and then increases to 7 wt%. The erosive wear rate of the Al2O3-Cu composite depend on optimum level addition of Al2O3, sintered mass density, hardness value and distribution of Al2O3 particle in the composite.