bluuebunny/crossref_metadata_2025 huggingface dataset:
Safety and Acceptability of a Natural Language Artificial Intelligence Assistant to Deliver Clinical Follow-up to Cataract Surgery Patients: Proposal
Authors: de Pennington Nick , Mole Guy , Lim Ernest , Milne-Ives Madison , Normando Eduardo , Xue Kanmin , Meinert Edward
Published: July 2021

Background

Due to an aging population, the demand for many services is exceeding the capacity of the clinical workforce. As a result, staff are facing a crisis of burnout from being pressured to deliver high-volume workloads, driving increasing costs for providers. Artificial intelligence (AI), in the form of conversational agents, presents a possible opportunity to enable efficiency in the delivery of care.

Objective

This study aims to evaluate the effectiveness, usability, and acceptability of Dora agent: Ufonia’s autonomous voice conversational agent, an AI-enabled autonomous telemedicine call for the detection of postoperative cataract surgery patients who require further assessment. The objectives of this study are to establish Dora’s efficacy in comparison with an expert clinician, determine baseline sensitivity and specificity for the detection of true complications, evaluate patient acceptability, collect evidence for cost-effectiveness, and capture data to support further development and evaluation.

Methods

Using an implementation science construct, the interdisciplinary study will be a mixed methods phase 1 pilot establishing interobserver reliability of the system, usability, and acceptability. This will be done using the following scales and frameworks: the system usability scale; assessment of Health Information Technology Interventions in Evidence-Based Medicine Evaluation Framework; the telehealth usability questionnaire; and the Non-Adoption, Abandonment, and Challenges to the Scale-up, Spread and Suitability framework.

Results

The evaluation is expected to show that conversational technology can be used to conduct an accurate assessment and that it is acceptable to different populations with different backgrounds. In addition, the results will demonstrate how successfully the system can be delivered in organizations with different clinical pathways and how it can be integrated with their existing platforms.

Conclusions

The project’s key contributions will be evidence of the effectiveness of AI voice conversational agents and their associated usability and acceptability.

International Registered Report Identifier (IRRID)

PRR1-10.2196/27227
Engaging Parents and Health Care Stakeholders to Inform Development of a Behavioral Intervention Technology to Promote Pediatric Behavioral Health: Mixed Methods Study
Authors: O'Dell Sean M , Fisher Heidi R , Schlieder Victoria , Klinger Tracey , Kininger Rachel L , Cosottile McKenna , Cummings Stacey , DeHart Kathy
Published: July 2021

Background

Despite effective psychosocial interventions, gaps in access to care persist for youth and families in need. Behavioral intervention technologies (BITs) that apply psychosocial intervention strategies using technological features represent a modality for targeted prevention that is promising for the transformation of primary care behavioral health by empowering parents to take charge of the behavioral health care of their children. To realize the potential of BITs for parents, research is needed to understand the status quo of parental self-help and parent-provider collaboration to address behavioral health challenges and unmet parental needs that could be addressed by BITs.

Objective

The aim of this study is to conduct foundational research with parents and health care stakeholders (HCS) to discover current practices and unmet needs related to common behavioral health challenges to inform the design, build, and testing of BITs to address these care gaps within a predominantly rural health system.

Methods

We conducted a convergent mixed-parallel study within a large, predominantly rural health system in which the BITs will be developed and implemented. We analyzed data from parent surveys (N=385) on current practices and preferences related to behavioral health topics to be addressed in BITs along with focus group data of 48 HCS in 9 clinics regarding internal and external contextual factors contributing to unmet parental needs and current practices. By comparing and relating the findings, we formed interpretations that will inform subsequent BIT development activities.

Results

Parents frequently endorsed several behavioral health topics, and several topics were relatively more or less frequently endorsed based on the child’s age. The HCS suggested that BITs may connect families with evidence-based guidance sooner and indicated that a web-based platform aligns with how parents already seek behavioral health guidance. Areas of divergence between parents and HCS were related to internalizing problems and cross-cutting issues such as parenting stress, which may be more difficult for health care HCS to detect or address because of the time constraints of routine medical visits.

Conclusions

These findings provide a rich understanding of the complexity involved in meeting parents’ needs for behavioral health guidance in a primary care setting using BITs. User testing studies for BIT prototypes are needed to successfully design, build, and test effective BITs to empower parents to take charge of promoting the behavioral health of their children.
The Transition to an Entirely Digital Immunization Registry in Ha Noi Province and Son La Province, Vietnam: Readiness Assessment Study
Authors: Duong Hong , Dao Sang , Dang Huyen , Nguyen Linh , Ngo Tuan , Nguyen Trung , Tran Lan Anh , Nguyen Doan , Rivera Maya , Nguyen Nga
Published: July 2021

Background

Vietnam is one of the first low- to middle-income countries to develop and implement a national-scale electronic immunization registry. This system was finalized into the National Immunization Information System (NIIS) and scaled up to a national-level system in 2017. As a result, immunization coverage and the timeliness of vaccinations have drastically improved. The time spent on planning and reporting vaccinations has drastically reduced; as a result, vaccination planning and reporting has become more accurate and effective. However, to date, end users have been tasked with managing both the NIIS and paper-based systems in parallel until a formal assessment of the readiness to fully transition to the NIIS is conducted.

Objective

This study aims to evaluate the readiness to move to an entirely digital NIIS in 2 provinces of Vietnam—Ha Noi and Son La.

Methods

All health facilities were surveyed to assess their infrastructure, capacity, and need for human resources. NIIS end users were observed and interviewed to evaluate their NIIS knowledge and skill sets. Data from immunization cards and facility paper-based logbooks were compared with data from the NIIS, and vaccine stocks at selected facilities were tallied and compared with data from the NIIS.

Results

Of the 990 health facilities evaluated, most used the NIIS to enter and track immunizations (987/990, 99.7%) and vaccine stocks (889/990, 90.8%). Most had stable electricity (971/990, 98.1%), at least 1 computer (986/990, 99.6%), and ≥2 trained NIIS end users (825/990, 83.3%). End users reported that the NIIS supported them in managing and reporting immunization data and saving them time (725/767, 94.5%). Although many end users were able to perform basic skills, almost half struggled with performing more complex tasks. Immunization data were compiled from the NIIS and immunization cards (338/378, 89.4%) and paper-based logbooks (254/269, 94.4%). However, only 54.5% (206/378) of immunization IDs matched, 57% (13/23) of Bacillus Calmette-Guérin vaccination records were accurate, and 70% (21/30) of the facilities had consistent physical vaccine stock balances. The feedback received from NIIS end users suggests that more supportive supervision, frequent refresher training for strengthening their skill sets, and detailed standardized guides for improving data quality are needed.

Conclusions

The readiness to transition to a digital system is promising; however, additional resources are required to address the timeliness, completeness, and accuracy of the data.
Stakeholders’ Perspectives on eHealth Support in Colorectal Cancer Survivorship: Qualitative Interview Study
Authors: Husebø Anne Marie Lunde
Published: July 2021

Background

eHealth interventions may represent the way forward in following up patients with colorectal cancer (CRC) after hospital discharge to support them in coping with the illness, strengthen their self-management, and increase their quality of life. By involving end users of eHealth in cocreation processes when designing eHealth solutions, an acceptable and relevant product can be secured. Stakeholders’ perspectives could aid in closing the gap between research-developed products and the implementation of eHealth services in real-life scenarios.

Objective

This study aims to explore the views of patients with CRC, their informal caregivers, and health care professionals (HCPs) on information technology and the design of eHealth support in CRC care.

Methods

A qualitative, explorative design was used to conduct 31 semistructured individual interviews with 41% (13/31) patients with CRC, 29% (9/31) informal caregivers, and 29% (9/31) HCPs recruited from the gastrosurgical ward of a university hospital in southwestern Norway. A semistructured interview guide was used for data collection, and the data were analyzed by systematic text condensation.

Results

Participants described the diverse experiences of patients with CRC seeking web-based information. Age and digital competence were highlighted as influencers of the use of information technology. Patients rarely received advice from HCPs about relevant and secure websites containing information on CRC diagnosis and treatment. Features of desired eHealth interventions in following up patients with CRC were patient education, health monitoring, and communication with HCPs.

Conclusions

Several elements affect the activities of patients with CRC seeking health information. Age, inexperience with computer technology, and lack of access to web-based health information may reduce the ability of patients with CRC to engage in decision-making processes regarding illness and treatment. An eHealth service for patients with CRC should comprise features for information, education, and support for self-management and should aim to be individually adapted to the patient’s age and digital competence. Involving end users of eHealth services is necessary to ensure high-quality tailored services that are perceived as user friendly and relevant to the end users.
Clinical Utility and Functionality of an Artificial Intelligence–Based App to Predict Mortality in COVID-19: Mixed Methods Analysis (Preprint)
Authors: Abdulaal Ahmed , Patel Aatish , Al-Hindawi Ahmed , Charani Esmita , Alqahtani Saleh A , Davies Gary W , Mughal Nabeela , Moore Luke Stephen Prockter
Published: July 2021

BACKGROUND

The artificial neural network (ANN) is an increasingly important tool in the context of solving complex medical classification problems. However, one of the principal challenges in leveraging artificial intelligence technology in the health care setting has been the relative inability to translate models into clinician workflow.

OBJECTIVE

Here we demonstrate the development of a COVID-19 outcome prediction app that utilizes an ANN and assesses its usability in the clinical setting.

METHODS

Usability assessment was conducted using the app, followed by a semistructured end-user interview. Usability was specified by effectiveness, efficiency, and satisfaction measures. These data were reported with descriptive statistics. The end-user interview data were analyzed using the thematic framework method, which allowed for the development of themes from the interview narratives. In total, 31 National Health Service physicians at a West London teaching hospital, including foundation physicians, senior house officers, registrars, and consultants, were included in this study.

RESULTS

All participants were able to complete the assessment, with a mean time to complete separate patient vignettes of 59.35 (SD 10.35) seconds. The mean system usability scale score was 91.94 (SD 8.54), which corresponds to a qualitative rating of “excellent.” The clinicians found the app intuitive and easy to use, with the majority describing its predictions as a useful adjunct to their clinical practice. The main concern was related to the use of the app in isolation rather than in conjunction with other clinical parameters. However, most clinicians speculated that the app could positively reinforce or validate their clinical decision-making.

CONCLUSIONS

Translating artificial intelligence technologies into the clinical setting remains an important but challenging task. We demonstrate the effectiveness, efficiency, and system usability of a web-based app designed to predict the outcomes of patients with COVID-19 from an ANN.
Kinetic Study of Subcritical Water Extraction of Carbohydrate from Microalgae Nannochloropsis sp.
Authors: Listyaningrum Nur Baiti , Azis Muhammad Mufti , Sarto Sarto , Rosdi Anis Nurdhiani , Harun Mohd Razif
Published: July 2021

Microalgae contain a significant amount of carbohydrates that can be converted further to produce valuable compounds. To extract carbohydrates from microalgae, sub-critical water extraction (SWE) is a viable and novel method. Compared to other existing chemical and biological extraction methods, SWE is more economical, effective, and efficient in terms of process conditions. This process uses high temperature and pressure of water at just below supercritical conditions to keep water at a liquid state. This study aims to investigate the factors that affect the extraction yield of carbohydrates from microalgae Nannochloropsis sp. using the SWE process. The extraction was carried out at a temperature of 160 – 320 oC, a duration of 5 – 25 min, and microalgal biomass loading of 5 - 25% w/v. The kinetics study was conducted in an extraction time of 5 – 25 min at 200 oC and 5% (w/v) biomass loading. A simplified kinetic model based on a consecutive reaction was used to describe carbohydrate production and decomposition via SWE. It was found that the maximum yield of total carbohydrate was 18.04 g/100 g which was obtained at 200 oC, 10 min, and 5% (w/v) microalgal biomass loading. The carbohydrate concentration was decreased as the temperature, extraction time and microalgal biomass loading increased. This result indicated that the SWE is a promising extraction method for carbohydrate recovery from microalgae, and the factors investigated here had a significant effect on the extraction process. The proposed kinetic model was also able to capture the experimental data well within the range of operating conditions studied in this work.
The Effect of Amino-functionalization on Photoluminescence Properties of Sugarcane Bagasse-derived Carbon Quantum Dots
Authors: Nugraha Muhammad Wahyu , Sambudi Nonni Soraya , Kasmiarno Laksmi Dewi , Kamal Norashikin Ahmad
Published: July 2021

In the present study, amino-functionalized carbon quantum dots (N-CQDs) were prepared from sugarcane bagasse using a simple one-pot hydrothermal method. Both ethylenedinitrilotetraacetic (EDTA) & ethylenediamine (EDA) were used as carbon and amino sources, respectively. The emerging utilization of natural carbon precursors is critically essential considering its low cost, eco-friendly, and unexploited by-products (e.g., sugarcane bagasse), which may have sustainable economic and strategic benefits. The as-prepared N-CQDs were characterized using High-Resolution Transmission Electron Microscope (HRTEM), Fourier Transform Infrared Spectroscopy (FTIR), UV-vis absorption spectroscopy, and photoluminescence spectroscopy. The influences of amine groups were investigated. The as-prepared N-CQDs photoluminescence intensity increased and quenched significantly with EDTA and EDA amino-functionalization, respectively, with the highest quantum yield at 21.21%, 2.4 times higher than non-functionalized CQDs. Furthermore, the amino-functional groups can alter the CQDs structure and particle size ranging from 4.197±1.058 nm to 9.704±1.428 nm. Hence, the N-CQDs produced exhibit highly tunable photoluminescence and particle size potentially applicable in diverse applications.
Effect of nano-α-Al2O3 Particles on Mechanical Properties of Glass-Fibre Reinforced Epoxy Hybrid Composites
Authors: Veerapaneni Anil Kumar , Kuppan Chandrasekar , Chavali Murthy
Published: July 2021

The present work deals with the mechanical properties of hybrid nanocomposites made of epoxy/glass fibre dispersed with different weight percentages of nano-α-Al2O3 powder . The nanoparticles were synthesized by a high energy ball milling technique (60 and 200 nm).. The effect of nano-α-Al2O3 size and content (wt%) on mechanical properties, such as tensile, flexural, interlaminar shear stress (ILSS) and hardness was investigated. The addition of nano-α-Al2O3 enhanced all measured mechanical parameters because of their higher surface area and interfacial polymer-metal interaction. The nanoparticle-embedded laminates showed an improvement in flexural strength and hardness compared to laminate without nano-α-Al2O3. Among all the wt% of varied sizes of nano-α-Al2O3, the highest tensile strength was shown by the addition of 0.5 wt% 200nm nano-α-Al2O3 (167.80 N/m2). The highest flexural strength (378.39 N/m2) Vickers hardness (86.72) were observed for laminates containing 1.5 wt% of 60nm nano-α-Al2O3, while the highest ILSS (31.21 Ksi) was observed for 0.5 wt% of 60nm nano-α-Al2O3. This study showed that there was a higher interaction between the nanoparticle and polymer resin, which led to increasing the mechanical properties of the laminate. This finding show that diversifiying the application of these hybrid materials was possible by adding nano-alumina.
Appropriate Technology for Municipal Solid Waste Management Based on Wastepreneurship Implementation
Authors: Prihandoko Diananto , Budiman Arief , Setyono Prabang , Fandeli Chafid , Budiastuti Maria Theresia Sri
Published: July 2021

Piyungan landfill is the biggest landfill in the Special Region of Yogyakarta, Indonesia, which receives municipal solid waste (MSW) from two districts and a city, while its designed service time has been over and faces operational obstacles. Meanwhile, the volume of the MSW grows rapidly and exceeds the reduction rate in their sources. The difficulty in finding a new landfill area is the reason why appropriate technological alternatives in the MSW management are strongly needed. Therefore, the study aimed to evaluate the social and economic aspects and formulate appropriate technology based on the waste entrepreneurship (wastepreneurship) concept. The methods of this study were conducting calculation of waste characteristics and composition, social evaluation, and economic evaluation of the combination of composting, incinerator, and sanitary landfill. Waste characteristics and composition were taken using direct field measurement following Indonesia's National Standard Guideline about retrieving and measuring examples of urban waste emergence and composition. Characteristics of waste are used for the calculation of calorific value and energy. The social evaluation was conducted using an in-depth interview with the rag pickers. The economic evaluation was conducted using net present value, internal rate of return, and payback period. The result of the study shows that Piyungan Landfill with total combustion waste reach 82.22% has the potential of incinerator implementation. In social evaluation, the implementation of composting and incinerator technologies would open employment for the surrounding community and rag pickers. The economic evaluation shows the combination of composting and incinerator technologies was economically feasible with an average profit margin of 12.97% in the operational period of 18 years. In conclusion, the concept of wastepreneurship is relevant in Piyungan Landfill by adjusting the MSW management paradigm from previously cost-center into business-center.
Studi Pengaruh Variabel Proses dan Kinetika Ekstraksi Nikel dari Bijih Nikel Laterit Menggunakan Larutan Asam Sulfat pada Tekanan Atmosferik
Authors: Wahab Wahab , Anshari Erwin , Mili Marwan Zam , Nafiu WD. Rizky Awaliah , Khaq Muh. Nuzul , Daniyatno Daniyatno , Firdaus Firdaus , Sutriyatna Yayat Iman
Published: July 2021

Leaching at atmospheric pressure is one of the leaching methods of concern because it has several advantages, namely that it can process low-level nickel ore, can operate at temperatures >100 ⁰C at atmospheric pressure, and can be used in saprolite and limonite ores. In this research, nickel extraction from nickel laterite ore was carried out using sulfuric acid solution (H2SO4) as a leaching agent. The variables that were varied in the leaching process were temperature (30, 60, and 90 ⁰C), sulfuric acid concentration (0.2, 0.5, and 0.8 molar) and leaching time (30, 60, and 90 minutes). In this study, a 3-factor analysis of variance (ANOVA) was used to see the significance of the variable effects and the order of the most influential variables. In addition, leaching kinetics was studied by shrinking core models to determine rate determining step. The results showed that the increase in temperature, sulfuric acid and leaching time produced a higher percentage of extracted nickel. Based on the 3-factor ANOVA, the order of the most influential variables was obtained, namely temperature, acid concentration and leaching time. The kinetics analysis showed that rate determining step of leaching ore nickel laterite with H2SO4 solution on atmospheric pressure is controlled by diffusion through solid layer product.Keywords: analysis of variance; leaching; saprolit; limonitA B S T R A KLeaching pada tekanan atmosfer adalah salah satu metode pelindian yang menjadi perhatian karena memiliki beberapa keuntungan yaitu dapat mengolah bijih nikel kadar rendah, dapat beroperasi pada temperatur >100 ⁰C pada tekanan atmosfer serta dapat digunakan pada bijih saprolit dan limonit. Dalam penelitian ini, dilakukan ekstraksi nikel dari bijih nikel laterit menggunakan larutan asam sulfat (H2SO4) sebagai agen pelindi. Variabel yang divariasikan dalam proses pelindian yaitu temperatur (30, 60, dan 90 ⁰C), konsentrasi asam sulfat (0,2; 0,5; dan 0,8 molar) dan waktu pelindian (30, 60, dan 90 menit). Dalam penelitian ini digunakan analysis of variance (ANOVA) 3 faktor untuk melihat signifikansi variabel dan urutan variabel yang paling berpengaruh. Selain itu, dilakukan studi kinetika pelindian menggunakan shrinking core model untuk mengetahui pengendali laju reaksi. Hasil penelitian menunjukkan bahwa peningkatan variabel temperatur, konsentrasi asam sulfat dan waktu pelindian menyebabkan meningkatnya persen ekstraksi nikel. Berdasarkan hasil ANOVA 3 faktor diperoleh urutan variabel yang paling berpengaruh yaitu temperatur, konsentrasi asam dan waktu pelindian. Hasil analisis kinetika menunjukkan bahwa pengendali laju reaksi pelindian bijih nikel laterit menggunakan larutan H2SO4 pada tekanan atmosfer yaitu difusi melalui lapisan produk padat.Kata kunci: analysis of variance; pelindian; limonit; saprolit
Comment on “Emplazamiento del magmatismo Paleoceno-Eoceno bajo un régimen transtensional y su evolución a un equilibrio dinámico en el borde occidental de Colombia” by Grajales et al., Rev. Mex. Cienc. Geol. (2020), 37(3), 250-268
Authors: Barbosa-Espitia Ángel A. , Kamenov George D. , Foster David A. , Restrepo-Moreno Sergio A. , Pardo-Trujillo Andrés , Echeverri Sebastián
Published: July 2021

Grajales et al. (2020) reviewed geochronological and geochemical data from Paleogene volcanic and plutonic rocks outcropping in the Panama-Choco Block (north western Cordillera) and southern Western Cordillera, as well as the Central Cordillera of Colombia. These data were used to support a model of continuous Paleogene arc magmatism along the Colombian continental margin, and to propose a paleogeographic model for the arc. The authors did not discuss previously published paleomagnetic, geochemical, geochronological, thermochronological and provenance constraints from Cretaceous to Miocene rocks of western and northern Colombia, Panama, and Ecuador that support a more plausible model of a double subduction system controlled by the convergence of the Caribbean and Farallon plates beneath the north Andean block during Paleogene. In this comment, we discuss shortcomings in the data and model proposed by Grajales et al. (2020) and present an alternative interpretation for contemporaneous arc-like magmatism during the Paleogene in the Northern Andes. We conclude that the double subduction system is the more plausible explanation for the contemporaneous arc-like magmatism during the Paleogene, currently exposed in the northern and southern portions of the Northern Andes.
Aplicación de Realidad Aumentada para Laboratorios de Química
Authors: Hernández Diógenes , Bottner Elizabeth , Cataldo Fernando , Zaragoza Eduardo
Published: July 2021

El uso de la realidad aumentada como una tecnología emergente es muy eficiente para lograr interés de parte de los estudiantes, sobre todo en el caso de la química que es una ciencia que, por su naturaleza requiere ser tratado de un modo teórico y experimental, pero este último aspecto no siempre es factible realizar en la extensión y profundidad necesaria con los alumnos (as). 

Por lo tanto, la investigación aquí realizada, consistió en desarrollar mediante realidad aumentada, tres experiencias de laboratorio que son comunes para todos los cursos de química general, con el objeto de que los alumnos (as) las pudiesen realizar prácticas utilizando sus diferentes dispositivos digitales (tablet y celulares), que les permitan comprender de forma virtual y lúdica los contenidos tratados en el aula. 

Los resultados demostraron que un 91% de los alumnos de las carreras de Ingeniería civil Mecánica e Ingeniería civil Mecatrónica, se sintieron familiarizados con esta potente herramienta informática, ya que es fácil de trabajar, muy interactiva no haciendo tan necesario disponer de un laboratorio de química, ya que utilizando la tecnología es posible experimentar un proceso químico para demostrar y experimentar muchas de las teorías del aula. 
Estudiantes activistas de la Facultad de Filosofía y Letras y su experiencia social en la acción colectiva de septiembre de 2018
Authors: Cuevas Yazmín , Pasos-Osnaya Melisa-Yolanda , Romo-Romo Erika
Published: July 2021

El propósito de este artículo es analizar la experiencia social de estudiantes activistas de la Facultad de Filosofía y Letras de la Universidad Nacional Autónoma de México durante la acción colectiva que se desplegó, en septiembre de 2018, ante un ataque violento hacia la comunidad de alumnos. La investigación usó la propuesta de Dubet de experiencia social, resultado de la articulación de tres lógicas de acción: integración, estrategia y subjetivación.  Se empleó la metodología cualitativa, mediante la cual se diseñaron y llevaron a cabo ocho entrevistas y cuestionarios a estudiantes activistas. En los resultados destaca que la lógica de integración a la acción colectiva de estos estudiantes se dio ante la indignación de los ataques a su comunidad y por solidaridad con ésta; la lógica de estrategia consistió en la generación de diferentes repertorios de acción colectiva (paros, marchas); la lógica de subjetivación implicó la crítica y aprendizajes frente a su participación en esta acción.
Toxic Comment Classification
Authors: Prakash Sonika
Published: July 2021

A large proportion of online comments available on public domains are usually constructive. However, a significant proportion is toxic and destructive. Several platforms and social media sites are finding it difficult to maintain fair conversation and are often forced to either limit the user comments or get dissolved by shutting down user comments completely. So, to prevent these types of identity hate through comments on social media, we come up with a solution to detect different types of toxicity in the comments using Deep Learning and Natural Language Processing. Dataset is obtained online which is processed to remove noise. Transformation of raw comments is done before feeding it to the classification model using Natural Language Processing. A Convolutional Neural Network model is used which will differentiate toxic comments from non-toxic comments.
Design and Analysis of the Multi Blade Angle Centrifugal Pump Impeller by Using CFX Tool
Authors: Ravindranath M.U.
Published: July 2021

This project investigates the study of complex internal flows in centrifugal pump impellers with the aid of Computational Fluid Dynamics software thus facilitating the design of pumps. Here three different types of Pump impellers had been taken, the pump specifications considered for investigation are discharge and speed. A design of centrifugal pump is carried out and analyzed to get the best performance point. The design and performance analysis of centrifugal pump are chosen because it is the most useful mechanical rotodynamic machine in fluid works which widely used in domestic, irrigation, industry, large plants and river water pumping system. These specifications have been varied toper form a comparative study of these pump impellers. The impeller was modeled and the blade to blade plane of the impellers was taken for the detailed study purpose because the flow occurs through this passage only. The blade-to-blade plane is modeled and the flow analysis is carried out using FLUENT software. Thus the valid results regarding the velocity distribution and pressure distributions were predicted for different blade angles.
Design and Analysis of Foreward Step Automotive
Authors: Varaprasad Veenam
Published: July 2021

Nowadays with increase in competition in automobile sector, vehicle aerodynamics plays an important role. Aerodynamics affect the performance of vehicle due to change in parameters such as lift and drag force which plays a significant role at high speeds. With improvement in computer technology, manufacturers are looking toward computational fluid dynamics instead of wind tunnel testing to reduce the testing time and keeps the cost of R&D low. In this paper, lift and drag of production vehicle are determined by the analysis of flow of air around it using Ansys 18.0. After that, analysis was done on the car with different engine hood angles. Based on Cl and Cd values, optimal model was selected. To validate steady state results, transient state analysis was done on this optimal model. By introducing this considerably reduce the drag and increase lift hence improves the performance of vehicle.
Automatic Number Plate Recognition Using Image Processing
Authors: Palampatla Hrithik Roshan
Published: July 2021

Automatic Number Plate Recognition (ANPR) is a mass surveillance system that captures the image of vehicles and recognizes their registration number issued by government. ANPR is often used in the detection of stolen vehicles, traffic surveillance system. Our project presents a model in which the vehicle license plate image is obtained by the digital cameras and the image is processed to get the number plate information. A vehicle image is captured and processed using various methods. Vehicle number plate region is extracted using the deep neural networks. Optical character recognition is implemented using certain machine learning algorithms for the character recognition. The system is implemented using deep neural network model, machine learning algorithms and is simulated in python, and its performance is tested on real images. It is observed that the developed model successfully detects the license plate region and recognizes the individual characters. There are various recognition strategies that have been produced and number plate recognition systems are today used in different movement and security applications, such as access and border control, parking, or tracking of stolen vehicles.
Automatic Rain Gauge (Sensor Based) for Rainfall Calculation
Authors: Udhare Atul
Published: July 2021

Theoretical Rainfall estimation framework is a helpful instrument in climate estimation framework. The programmed Rain check has been effectively evolved by meteorological, climatological, and geophysical office. In tropical country, for example, India for the most part Jammu and Kashmir, precipitation estimation for rural and climate determining framework is vital. Testing related tippingcontainer (TB) downpour check estimations have huge mistakes for brief time frame assessment. In this paper, a stable electronic downpour measure situation with complete information control is planned and created. This venture utilized generally electronic gadgets to make our task more programmed and reasonable to record the information plainly and most precisely. The framework estimates rainfalls precisely, saves the information perusing and shows explicit determined for show. Framework gives total water estimation situation along with complete information control component. The framework is extremely simple to be dealt with in each circumstance. The estimation is extremely high exact and effectively detectible. This presence of these instruments can substitute the ordinary downpour check perception framework or the normal downpour measures utilized in india and it's regions. It's trusted that the replacement of normal downpour measures can produce more benefits including organization, cost, and the straightforwardness of activity and exactness information. This instrument will help onlooker who have not explicit schooling in meteorology or climatology.
Development and preliminary evaluation of a brief five-factor personality instrument
Authors: Lim Weiliang , Chapman Elaine
Published: July 2021

Instruments to measure personality traits in the five-factor model of personality are typically lengthy, which can hamper their use in studies with multiple measures. In this study we developed a brief five-factor instrument based on a bipolar statement response format and validated
the instrument for use in the Singapore education context. The 20-item Brief Five-Factor Instrument (BFFI) comprises four items to measure each personality factor in the five-factor model. To evaluate the internal structure of the BFFI, students at two polytechnics in Singapore responded to
the scale (Polytechnic A, n = 421; Polytechnic B, n = 271). Exploratory and confirmatory factor analyses were conducted to evaluate the factor structure of the measure. Results suggest that the BFFI has promise for use in the Singapore education context.
Leader positive humor and employee creativity: The mediating role of work engagement
Authors: Yang Guodong
Published: July 2021

Leader humor plays an important role in organizations because it affects employees' attitude and behavior. The positive effect of humor in organizations has been widely touted; however, research on the effect of leader humor on employee creativity is still rare. This study addressed
how leader positive humor affects employee creativity and whether work engagement mediates this relationship. Data were collected from 233 supervisor–subordinate dyads in 23 Chinese hightech companies. Results of structural equation modeling indicate that leader positive humor was positively
related to work engagement, and that work engagement was positively related to employee creativity. Additionally, work engagement mediated the relationship between leader positive humor and employee creativity. Thus, organizations should encourage managers to use positive humor to enhance
employees' engagement at work, which will, in turn, lead to creative outcomes. This research extends understanding of the leader positive humor–employee creativity relationship.
The relationship between self-isolation during lockdown and individuals' depressive symptoms: Humor as a moderator
Authors: Tsukawaki Ryota , Imura Tomoya
Published: July 2021

The isolation that people of many nations have experienced during lockdown periods to prevent the spread of COVID-19 may adversely affect their mental health. In this study we examined whether humor moderates the relationship between extent of self-isolation and the depressive symptoms
that people experience when locked down. Participants were 400 Japanese adults aged between 21 and 69 years, who completed the Humor Styles Questionnaire and the Center for Epidemiologic Studies Depression Scale in addition to responding to a question to establish the extent of their self-isolation.
Hierarchical multiple regression analysis results indicate that affiliative humor moderated the relationship between the degree of self-isolation and depression, and attenuated their association. In contrast, aggressive humor strengthened their association. Our study findings suggest that
affiliative humor served to safeguard people from suffering from depression induced by self-isolation during lockdown, whereas aggressive humor increased the likelihood of people becoming depressed during lockdown.
Proactive coping mediates the relationship between the narcissism phenotypes and psychological health
Authors: Hyun Seungju , Ku Xyle
Published: July 2021

Although the relationship between grandiose and vulnerable narcissism and psychological health is widely accepted, little is known about whether and how coping strategies explain this relationship. We examined the mediating role of proactive coping in this relationship, with a sample
of 280 participants from five colleges in Korea. We used four parallel multiple mediation models, and controlled for the indirect effects of coping flexibility, self-esteem, and covariates (age and gender). Results show that grandiose narcissism predicted higher life satisfaction and lower
perceived stress, whereas vulnerable narcissism exhibited the opposite pattern, and all of these relationships were mediated by proactive coping. Overall, our results highlight the critical role of proactive coping in the prediction of psychological health among narcissists.
Relative deprivation and phubbing: Fear of missing out as a mediator
Authors: Wu Yang , Yang Xiaoying
Published: July 2021

Phubbing, defined as paying attention to one's smartphone instead of interacting with other people in social contexts, has become a common phenomenon. However, the determinants of this behavior remain unclear. Therefore, we explored whether fear of missing out mediates the relationship
between relative deprivation and phubbing. A sample of 858 college students completed measures to assess relative deprivation, fear of missing out, and phubbing. The results show that relative deprivation was positively correlated with phubbing. Further, fear of missing out fully mediated
the relationship between relative deprivation and phubbing, which indicates that college students who perceived more relative deprivation tended to be more prone to experiencing fear of missing out, and thus more vulnerable to phubbing. Our findings extend understanding of the antecedents
of phubbing from the individual microlevel to the psychosocial factor macrolevel.
COMUNICAÇÃO BOCA A BOCA COMO INSTRUMENTO DE MARKETING PARA MICRO E PEQUENAS EMPRESAS
Authors: Uchoa Mariana Torres , Coelho Ricardo Limongi França , Silva André Luiz Barboza da
Published: July 2021

As Micro e Pequenas Empresas (MPEs) possuem relevância para a economia do país e limitações no uso dos recursos do marketing. Como forma de contribuir com essa discussão, este estudo avalia o marketing empreendedor com ênfase no marketing boca a boca, principal meio de divulgação das MPEs. Assim, o objetivo é analisar as variáveis que impactam o boca a boca nas MPEs: qualidade do alimento, do serviço, da atmosfera e do preço quando um consumidor é motivado pela preocupação com os outros a expressar seus sentimentos. Com uma amostra com 145 consumidores foi utilizada a análise de equações estruturais e como resultado foi identificado que a atmosfera influencia o boca a boca realizado pela preocupação com os outros, e a qualidade do serviço influencia o boca a boca a partir da motivação de expressar os sentimentos e ajudar o restaurante. Estes resultados contribuem para que gestores possam delimitar suas estratégias, visando o marketing boca a boca.
A INOVAÇÃO DAS NAÇÕES: UMA ANÁLISE SOB O VIÉS DA CULTURA NACIONAL
Authors: Tambosi Junior Jandir , Tambosi Silvana Silva Vieira , Falaster Christian Daniel
Published: July 2021

A inovação é um dos principais fatores fomentadores do desenvolvimento econômico e social, tornando uma condição para que as nações prosperem em um contexto dinâmico e global. Portanto, saber quais fatores culturais implicam em um melhor desempenho de inovação faz-se relevante. Assim, o objetivo que norteou esta pesquisa foi verificar a influência da cultura nacional sobre a inovação das nações. Para tal, utilizaram-se como procedimentos metodológicos a abordagem quantitativa com o uso da técnica descritiva e documental. O tratamento e análise dos dados foi realizado por meio da regressão linear múltipla. Para atender ao objetivo, o estudo embasou-se nos dados mais recentes dos sites de Hofstede INSIGHTS, que disponibiliza indicadores de cultura nacional os scores de inovação do The global Innovation Index, que apresentam dados de 66 países. Concluiu-se, a partir da análise dos resultados encontrados, que as hipóteses de que a distância do poder influencia negativamente a inovação dos países, devido à ausência da interação social em diferentes níveis hierárquicos, foi confirmada. Verificou-se também que, quanto maior o nível da cultura nacional do individualismo, maior é a capacidade de inovação da nação. Além disso, confirmou-se a hipótese de que a cultura nacional de incerteza diminui a capacidade de inovação da nação. Por outro lado, foram negadas as hipóteses de que quanto menor o índice de masculinidade maior seria a capacidade de inovação da nação, e que países com orientação de longo prazo e mais indulgentes teriam maior capacidade de inovação.
Causal and compositional structure of unitary transformations
Authors: Lorenz Robin , Barrett Jonathan
Published: July 2021

The causal structure of a unitary transformation is the set of relations of possible influence between any input subsystem and any output subsystem. We study whether such causal structure can be understood in terms of compositional structure of the unitary. Given a quantum circuit with no path from input systemAto output systemB, systemAcannot influence systemB. Conversely, given a unitaryUwith a no-influence relation from inputAto outputB, it follows from [B. Schumacher and M. D. Westmoreland, Quantum Information Processing 4 no. 1, (Feb, 2005)] that there exists a circuit decomposition ofUwith no path fromAtoB. However, as we argue, there are unitaries for which there does not exist a circuit decomposition that makes all causal constraints evidentsimultaneously. To address this, we introduce a new formalism of `extended circuit diagrams', which goes beyond what is expressible with quantum circuits, with the core new feature being the ability to represent direct sum structures in addition to sequential and tensor product composition. Acausally faithfulextended circuit decomposition, representing a unitaryU, is then one for which there is a path from an inputAto an outputBif and only if there actually is influence fromAtoBinU. We derive causally faithful extended circuit decompositions for a large class of unitaries, where in each case, the decomposition is implied by the unitary's respective causal structure. We hypothesize that every finite-dimensional unitary transformation has a causally faithful extended circuit decomposition.
Memórias do centenário de Clarice Lispector nos acervos digitais
Authors: Regina Bacega Débora
Published: July 2021

Este artigo discorre sobre as práticas transversais da memória que circularam nas redes digitais durante a comemoração do centenário da escritora Clarice Lispector no ano de 2020. Nota-se que essas práticas acionam tanto acervos pessoais quanto editoriais da autora nas teias comunicacionais. Nesse ínterim, o fazer-memória se faz pela reapresentação das narrativas compreendidas nesses acervos. Assim, busca-se problematizar como essas práticas corroboram com a rememoração da autora e sua obra também na ambiência digital. Para tanto, aciona-se reflexões de estudiosos dos aspectos comunicacionais, arquivísticos e socioculturais da memória. Neste estudo de caso, adota-se como corpus os lançamentos comemorativos do site.claricelispector.ims.com.br, do Podcast da Clarice, da hashtag #365diasdeClarice nas redes sociais Facebook e Instagram e das edições especiais dos livros da escritora. Espera-se demonstrar como essas práticas comunicacionais e da memória podem contribuir para a renovação periódica do acervo literário e cultural de Clarice Lispector também no tempo presente.
Colibacilosis en gallinas reproductoras pesadas en reproducción
Authors: Díaz Rojas María del Pilar , González Paya Gustavo Gratiniano
Published: July 2021

La colibacilosis en gallinas reproductoras se da por la bacteria Gram negativa, enterobacteria Escherichia coli patogénica aviar (APEC), ella presenta un porcentaje alto de polimorfismos y plasticidad en su genes, las investigaciones reportan hallazgos macroscópicos comunes: salpingitis, peritonitis y poliserositis, que conlleva a la muerte del ave, se definen tres rutas de contaminación, de forma ascendente por la cloaca del ave, ingreso por vía respiratoria o por translocación bacteriana desde el intestino, el diagnóstico de la colibacilosis, se realiza a partir del historial del galpón , realizando las necropsias y tomando muestra a partir de hisopos o tejido de órganos como oviducto, pulmón, corazón u órganos afectados se llevan a medios como McConkey, eosin-methylene blue o agar drigalki para su aislamiento, pruebas específicas de la Esceherichia coli se conoce métodos basados en fenotipos como serotipo de O/H inmunológico,tipificación de bacteriófago, electroforesis con enzimas multilocus, MALDI-TOF y métodos basados en genotipos como polimorfismo de longitud de restricción (RFLP), ensayo de suspensión basado en liminex, polimorfismo de longitud de fragmentos amplificados (AFLP), mapeo óptico, las vacunas para esta bacteria no se han desarrollado a la perfección ya que presenta respuesta inmune ante sus homólogos, pero nada de resistencia a desafíos con heterólogos, sigue en investigación realizar vacunas que puedan presentar respuesta inmune a varios serotipos de la bacteria, por ahora la forma eficaz de controlar la bacteria a partir de protocolos de bioseguridad y prevención para la mantener la sanidad del animal.
Comparison of objective wear time between monoblock and twin-block appliances measured by microsensor
Authors: Kutay Cansın , Kılıçoğlu Hülya , Sayar Gülşilay
Published: July 2021

Objectives

To assess the objective compliance levels in skeletal Class II patients with mandibular retrognathia wearing monoblock and twin-block appliances.

Materials and Methods

A prospective clinical study was conducted with 30 patients between 10 and 15 years old who were equally divided into two study groups. Group 1 was treated with monoblock, and group 2 was treated with twin-block appliances. The patients were instructed to wear their appliance for 15 hours per day. Wear times were monitored by a microsensor. (TheraMon; MCTechnology, Hargelsberg, Austria) for an average of six appointments. Patients were also instructed to record their wear times on a chart, and this record was admitted as subjective wear time. Statistical analysis was performed with the data derived from both the patients' charts and the monitoring records.

Results

The mean wear time by the patients was 10.67 ± 3.93 hours, which was less than the 15 hours prescribed by the orthodontist, with no difference between the two appliances (P > .05). The regular use rate, which included the days with a wear time of 8 hours or more per day, was 75%. Compliance levels decreased by 35% throughout the six control appointments. Patients declared that their wear time was more than their objective wear time by an average of 3.76 hours.

Conclusions

Despite their different designs, there was no significant difference between the monoblock and twin-block appliances in terms of compliance.