bluuebunny/crossref_metadata_2025 huggingface dataset:
High performance epoxy/ MWCNTs nanocomposite sensors for multi-purpose sensing in structural health monitoring
Authors: Bouhamed Ayda , Sun Xin , Kanoun Olfa
Published: March 2022

Structural health monitoring (SHM) is necessary for modern technical development. It can be achieved by detecting different quantities such as pressure and strain using highly sensitive and stable sensors. In this work, epoxy/multiwalled carbon nanotubes (MWCNTs) is used as sensing material to detect both strain and pressure. To ensure better performance, dispersion fabrication process was firstly optimized via electrical and microscopic measurements. Then, the piezoresistive performance such as the sensitivity, linearity, stability and drift were investigated under pressure and strain for films prepared with different carbon nanotubes (CNTs) concentration and thickness to define the optimal conditions for each sensing target.
The piezoresistive measurement shows good sensitivity to strain at very low CNTs concentration 0.3 wt. % with a gauge factor (GF = 11.094); which is around 6 times higher than conventional strain sensor, proving the efficiency of the optimized fabrication process parameters that ensure a homogenous distribution. Furthermore, the sensing layer shows also the ability to sustain high pressure load. The sensitivity is found to be highly dependent on the film thickness with higher sensitivity for thicker films in case of pressure sensing in addition to the good sensitivity at very low-pressure range. All these results prove the efficiency of Epoxy/MWCNTs as multi-purpose sensor material.
Patient Experience and Satisfaction in Online Reviews of Obstetric Care: Observational Study
Authors: Seltzer Emily K , Guntuku Sharath Chandra , Lanza Amy L , Tufts Christopher , Srinivas Sindhu K , Klinger Elissa V , Asch David A , Fausti Nick , Ungar Lyle H , Merchant Raina M
Published: March 2022

Background

The quality of care in labor and delivery is traditionally measured through the Hospital Consumer Assessment of Healthcare Providers and Systems but less is known about the experiences of care reported by patients and caregivers on online sites that are more easily accessed by the public.

Objective

The aim of this study was to generate insight into the labor and delivery experience using hospital reviews on Yelp.

Methods

We identified all Yelp reviews of US hospitals posted online from May 2005 to March 2017. We used a machine learning tool, latent Dirichlet allocation, to identify 100 topics or themes within these reviews and used Pearson r to identify statistically significant correlations between topics and high (5-star) and low (1-star) ratings.

Results

A total of 1569 hospitals listed in the American Hospital Association directory had at least one Yelp posting, contributing a total of 41,095 Yelp reviews. Among those hospitals, 919 (59%) had at least one Yelp rating for labor and delivery services (median of 9 reviews), contributing a total of 6523 labor and delivery reviews. Reviews concentrated among 5-star (n=2643, 41%) and 1-star reviews (n=1934, 30%). Themes strongly associated with favorable ratings included the following: top-notch care (r=0.45, P<.001), describing staff as comforting (r=0.52, P<.001), the delivery experience (r=0.46, P<.001), modern and clean facilities (r=0.44, P<.001), and hospital food (r=0.38, P<.001). Themes strongly correlated with 1-star labor and delivery reviews included complaints to management (r=0.30, P<.001), a lack of agency among patients (r=0.47, P<.001), and issues with discharging from the hospital (r=0.32, P<.001).

Conclusions

Online review content about labor and delivery can provide meaningful information about patient satisfaction and experiences. Narratives from these reviews that are not otherwise captured in traditional surveys can direct efforts to improve the experience of obstetrical care.
Business Process Model and Notation and openEHR Task Planning for Clinical Pathway Standards in Infections: Critical Analysis
Authors: Iglesias Natalia , Juarez Jose M , Campos Manuel
Published: March 2022

Background

Clinical pathways (CPs) are usually expressed by means of workflow formalisms, providing health care personnel with an easy-to-understand, high-level conceptual model of medical steps in specific patient conditions, thereby improving overall health care process quality in clinical practice. From a standardized perspective, the business process model and notation (BPMN), a widely spread general-purpose process formalism, has been used for conceptual modeling in clinical domains, mainly because of its easy-to-use graphical notation, facilitating the common understanding and communication of the parties involved in health care. However, BPMN is not particularly oriented toward the peculiarities of complex clinical processes such as infection diagnosis and treatment, in which time plays a critical role, which is why much of the BPMN clinical-oriented research has revolved around how to extend the standard to address these special needs. The shift from an agnostic, general-purpose BPMN notation to a natively clinical-oriented notation such as openEHR Task Planning (TP) could constitute a major step toward clinical process improvement, enhancing the representation of CPs for infection treatment and other complex scenarios.

Objective

Our work aimed to analyze the suitability of a clinical-oriented formalism (TP) to successfully represent typical process patterns in infection treatment, identifying domain-specific improvements to the standard that could help enhance its modeling capabilities, thereby promoting the widespread adoption of CPs to improve medical practice and overall health care quality.

Methods

Our methodology consisted of 4 major steps: identification of key features of infection CPs through literature review, clinical guideline analysis, and BPMN extensions; analysis of the presence of key features in TP; modeling of relevant process patterns of catheter-related bloodstream infection as a case study; and analysis and proposal of extensions in view of the results.

Results

We were able to easily represent the same logic applied in the extended BPMN-based process models in our case study using out-of-the-box standard TP primitives. However, we identified possible improvements to the current version of TP to allow for simpler conceptual models of infection CPs and possibly of other complex clinical scenarios.

Conclusions

Our study showed that the clinical-oriented TP specification is able to successfully represent the most complex catheter-related bloodstream infection process patterns depicted in our case study and identified possible extensions that can help increase its adequacy for modeling infection CPs and possibly other complex clinical conditions.
A Mobile App for Children With Asthma to Monitor Indoor Air Quality (AirBuddy): Development and Usability Study
Authors: Kim Sunyoung , Stanton Kaitlyn , Park Yunoh , Thomas Stephen
Published: March 2022

Background

Indoor air quality is an important environmental factor that triggers and exacerbates asthma, the most common chronic disease in children. A mobile app to monitor indoor air quality could help occupants keep their indoor air quality clean. However, no app is available that allows children to monitor and improve their indoor air quality.

Objective

Previously, we conducted a series of user-centered design studies to identify user needs and design requirements toward creating a mobile app that helps children with asthma to engage in monitoring and improving indoor air quality as part of their asthma management. Based on the findings from these studies, we created AirBuddy, a child-friendly app that visualizes air quality indoors and outdoors.

Methods

This paper reports on the findings from a field deployment with 7 pediatric asthma patients, where we evaluated AirBuddy’s usability and usefulness in real-world settings by conducting weekly semistructured interviews for 8 weeks.

Results

All participants positively responded to the usefulness and usability of AirBuddy, which we believe is thanks to the iterative, user-centered design approach that allowed us to identify and address potential usability issues early on and throughout the design process.

Conclusions

This project contributes to the field of mHealth app design for children by demonstrating how a user-centered design process can lead to the development of digital devices that are more acceptable and relevant to target users’ needs.
Patient Experience and Satisfaction in Online Reviews of Obstetric Care: Observational Study (Preprint)
Authors: Seltzer Emily K , Guntuku Sharath Chandra , Lanza Amy L , Tufts Christopher , Srinivas Sindhu K , Klinger Elissa V , Asch David A , Fausti Nick , Ungar Lyle H , Merchant Raina M
Published: March 2022

BACKGROUND

The quality of care in labor and delivery is traditionally measured through the Hospital Consumer Assessment of Healthcare Providers and Systems but less is known about the experiences of care reported by patients and caregivers on online sites that are more easily accessed by the public.

OBJECTIVE

The aim of this study was to generate insight into the labor and delivery experience using hospital reviews on Yelp.

METHODS

We identified all Yelp reviews of US hospitals posted online from May 2005 to March 2017. We used a machine learning tool, latent Dirichlet allocation, to identify 100 topics or themes within these reviews and used Pearson r to identify statistically significant correlations between topics and high (5-star) and low (1-star) ratings.

RESULTS

A total of 1569 hospitals listed in the American Hospital Association directory had at least one Yelp posting, contributing a total of 41,095 Yelp reviews. Among those hospitals, 919 (59%) had at least one Yelp rating for labor and delivery services (median of 9 reviews), contributing a total of 6523 labor and delivery reviews. Reviews concentrated among 5-star (n=2643, 41%) and 1-star reviews (n=1934, 30%). Themes strongly associated with favorable ratings included the following: top-notch care (r=0.45, P<.001), describing staff as comforting (r=0.52, P<.001), the delivery experience (r=0.46, P<.001), modern and clean facilities (r=0.44, P<.001), and hospital food (r=0.38, P<.001). Themes strongly correlated with 1-star labor and delivery reviews included complaints to management (r=0.30, P<.001), a lack of agency among patients (r=0.47, P<.001), and issues with discharging from the hospital (r=0.32, P<.001).

CONCLUSIONS

Online review content about labor and delivery can provide meaningful information about patient satisfaction and experiences. Narratives from these reviews that are not otherwise captured in traditional surveys can direct efforts to improve the experience of obstetrical care.
Usability Evaluation of a non-invasive neutropenia screening device (PointCheck™) for cancer chemotherapy patients: Observational Study (Preprint)
Authors: Lamaj Ganimete , Pablo-Trinidad Alberto , Butterworth Ian , Bell Nolan , Benasutti Ryan , Bourquard Aurelien , Sanchez-Ferro Alvaro , Castro-Gonzalez Carlos , Jiménez-Ubieto Ana , Baumann Tycho , Rodriguez-Izquierdo Antonia , Pottier Elizabeth , Shelton Anthony , Martinez-Lopez Joaquin , Sloan John Mark
Published: March 2022

BACKGROUND

Cancer patients undergoing cytotoxic chemotherapy face an elevated risk of developing serious infection as a consequence of their treatment, which lowers their white blood cell (WBC) count and, more specifically, their absolute neutrophil count (ANC). This condition is known as neutropenia. Neutropenia accompanied by a fever is referred to as febrile neutropenia (FN), a common side effect of chemotherapy with a high mortality rate. Timely detection of severe neutropenia (ANC < 500/μL) is critical in detecting and managing FN. Current methods rely on blood draws, which limit them to clinical settings and do not allow frequent or portable monitoring. In this study, we demonstrate the usability of PointCheck™, a non-invasive device for neutropenia screening, in a simulated home environment without clinical supervision. PointCheck™ automatically performs microscopy through the skin of the finger to image the blood flowing through superficial microcapillaries, and enables remote monitoring of neutropenia status, without requiring venipuncture.

OBJECTIVE

This study aims to evaluate the usability of PointCheck™, a non-invasive optical technology for screening severe neutropenia, with the goal of identifying potential User Interface (UI), functionality, and design issues from the perspective of untrained users.

METHODS

We conducted a multi-center study using quantitative and qualitative approaches to evaluate the usability of PointCheck™ across N=154 untrained participants.

We used a mixed-method approach to gather usability data through user testing observations, a short-answer qualitative questionnaire, and a standardized quantitative System Usability Scale (SUS) survey to assess user experience and satisfaction.

RESULTS

We found that N=108 (70.1%) of participants scored above 80.8 on the SUS across all sites, with a mean SUS score of 86.1 across all sites. Furthermore, the SUS results indicated that N=145 (96.0%) of users who completed the SUS survey found they learned how to use PointCheck™ very quickly, and N= 141 (93.0%) felt very confident using the device.

CONCLUSIONS

We have shown that PointCheck™, a novel technology for non-invasive, home-based neutropenia detection, can be safely and effectively operated by first-time users. In a simulated home environment, these users found it easy to use, with a mean SUS score of 86.1, indicating excellent perception of user experience and placing this device within the top 10th percentile of systems evaluated for usability by the SUS.

CLINICALTRIAL

ClinicalTrials.gov:
H12O: NCT04448314 https://clinicaltrials.gov/ct2/show/NCT04448314
BMC: NCT04448301 https://clinicaltrials.gov/ct2/show/NCT04448301
Patients’ willingness to provide their clinical data for research purposes and acceptance of different consent models: Findings from a representative survey of cancer patients in Germany (Preprint)
Authors: Köngeter Anja , Schickhardt Christoph , Jungkunz Martin , Susanne Bergbold , Mehlis Katja , Winkler Eva C.
Published: March 2022

BACKGROUND

Secondary use of clinical data for biomedical research purposes holds great potential for various types of non-interventional, data-driven studies. Patients’ willingness to support research with their clinical data is a crucial prerequisite for research progress.

OBJECTIVE

The aim of the study is to learn about patients’ attitudes and expectations regarding secondary use of their clinical data in order to inform the development of an appropriate governance framework for secondary use of clinical data for research purposes.

METHODS

A questionnaire was developed to assess willingness of cancer patients to provide their clinical data for biomedical research purposes considering different conditions of data sharing and consent models. The Cancer Registry of the German federal state of Baden-Württemberg recruited a proportionally stratified random sample of cancer patients/survivors based on a full census.

RESULTS

838 participants completed the survey. Nearly all participants showed general willingness to make clinical data available for biomedical research purposes (97%); however, they expected certain requirements to be met such as comparable data protection standards for data use abroad and the possibility to renew consent at regular time intervals. The majority supported data use also by researchers in commercial companies (74%). More than half of the participants were willing to give up control over clinical data in favour of research benefits (60%). The majority expressed acceptance of the Broad Consent model (59%), followed by the Opt-Out model (50%); specific consent for every study showed the lowest acceptance rate (39%). Patients expected physicians to share their data (91%), and expected their fellow patients to support secondary use with their clinical data (81%).

CONCLUSIONS

While patients’ general willingness to make their clinical data available for biomedical research purposes is very high, the willingness of a substantial proportion of patients depends on additional requirements. Taking these perspectives into account is essential for designing trustworthy governance of clinical data re-use and sharing. The willingness to accept loss of control over clinical data in order to enhance the benefits of research should be given special consideration.
EVALUATION OF CLINICAL OUTCOME OF ANTIPSYCHOTIC THERAPY IN SCHIZOPHRENIC PATIENTS IN PALU – INDONESIA
Authors: Rumi Amelia , Mukaddas Alwiyah , Astriana  , Radhiya Siti
Published: March 2022

Schizophrenia is a severe mental disorder characterized by psychotic episodes. The first line of treatment for schizophrenia is the use of antipsychotics that is still subjective. There is still a need for research related to the use of antipsychotics to achieve effective treatment. This study aimed to compare the effectiveness of the First-Generation Antipsychotic (FGA) haloperidol, trifluoperazine and risperidone antipsychotic therapies as Second-Generation Antipsychotic (SGA) based on symptom reduction using the Positive and Negative Syndrome Scale-Excited Component (PANSS-EC) method in patients with acute schizophrenia and relapse hospitalization. This research used a quantitative analysis with a prospective approach where the sampling was conducted using total sampling and the data obtained were analyzed using independent t-test and linear regression analysis. There were 40 out of 120 patients who met the inclusion criteria, consisting of patients in groups of haloperidol, trifluoperazine and risperidone therapies with a therapeutic duration of 3–10 days. The results showed that the average PANSS-EC score of haloperidol medication of 15.35 was greater than that of trifluoperazine medication of 14.42 and the p-value showed no significant difference between the use of FGA, haloperidol and trifluoperazine with p = 0.190 (p> 0.05). The average PANSS-EC score of haloperidol medication (FGA) of 15.35 was greater than that of risperidone (SGA) of 13.6 and the p-value showed that there was a significant difference between haloperidol and risperidone with p = 0.027 (p< 0.05). The multivariate analysis showed p = 0.022 (p< 0.05) which means haloperidol showed the greatest symptom reduction among the three antipsychotic medications.
Nanoencapsulated formulation of antibacterial metabolites by soil actinomycete, Nocardia sp. TP5 from Tangkuban Perahu Mountain, West Java, Indonesia, with The ionic gelation technique using Na alginate
Authors: Andayani Desak Gede Sri , Chaldun Elsy Rahimi , Andini Desak Gede Tirta
Published: March 2022

Formulation of nanoencapsulation of antibacterial metabolites from the fermentation of actinomycete strain designed as TP5 has been carried out. Nanoencapsulated formulations performed with Na alginate polysaccharides obtained from brown seaweed can maintain the antibacterial metabolite activity. This study aims to enhance antibacterial activity in nanoencapsulated formulations of antibacterial metabolites with ionic gelation technique using Na alginate and CaCl2. The nanocapsules were prepared by combining the extracellular secondary metabolite Nocardia sp. TP5 with the encapsulation sourced from Na alginate and CaCl2 by ionic gelation technique. The manufacturing methods include fermentation of Nocardia sp. TP5, nanoencapsulated formulation by varying the concentration and ratio of Na alginate, CaCl2, antibacterial metabolites, as well as analysis of nanocapsules. The analysis and characterization of nanoencapsulation using SEM-EDS and PSA included: surface morphology, particle size, chemical constituents, and zeta potential, as well as antibacterial testing against Escherichia coli and Staphylococcus aureus. The results showed that the best-nanoencapsulated formula contains the composition of Na alginate 0.3%, CaCl2 0.06% with a ratio of Na alginate: CaCl2: antibacterial metabolite is 2: 4: 1. The capsule particles formed are evenly distributed over the entire surface with a particle size of 425 nm, zeta potential of -27 mV, and antibacterial activity inhibited the growth of E. coli and S. aureus by 20 and 21 mm, respectively. The variation of the appropriate concentration ratio of Na alginate and CaCl2 greatly affects the uniform nanocapsules size and increases the antibacterial activity.
Investigation of the Possible Toxicological Effects of Paracetamol on Lung in the Trimesters; An Experimental Study
Authors: UÇAR İlyas , Değermenci Muhammet , Tokpınar Adem , Yılmaz Seher , Ateş Şükrü , Göçmen Ayşe Yeşim , Nisari Mehtap , Unur Erdoğan
Published: March 2022

Paracetamol (PAR) is an analgesic and antipyretic drug that is frequently used during pregnancy in many countries of the world. Although the fetal and maternal effects of toxic or long-term therapeutic doses used during pregnancy are known, the data on fetal effects during trimesters are insufficient. In this study, the possible effects of PAR exposure on both maternal and fetal tissues were investigated during pregnancy and in different trimester periods. Pregnant rats were exposed to different doses of PAR (low dose: 50 mg/kg and high dose: 500 mg/kg) in first trimester (1-7th days), second trimester (8-14th days) and third trimester (15-21st days) of pregnancy. On the 21st day, fetuses were removed by cesarean section under anesthesia. Maternal and fetal lung tissues samples were taken for biochemical analysis. PAR exposure decreased antioxidants levels and increased oxidative stress parameters levels in maternal and infant lung tissues. TBARS and TOS values increased compared to the control group, and it was statistically significant in all groups except the 1LD group (p <0.05). SOD, CAT, GPX, TAS, and GSH parameters decreased compared to the control group, which was statistically significant in maternal lungs (p <0.05). In infant lungs, it was also statistically significant for all groups in SOD, CAT, and TAS parameters. This experimental study demonstrates that exposure to PAR during pregnancy caused toxic damage to both maternal and fetal lung organs, especially in long-term usage during pregnancy, and in the third trimester.
Assessment der Zielerreichung der Pilotlinie „Social Crowdfunding“ des FFG-Programms „Impact Innovation“. Endbericht.
Authors:   ZSI - Centre for Social Innovation, Glinsner Barbara , Koller Katharina , Neuhuber Tatjana , Vana Irina
Published: March 2022

Der vorliegende Bericht präsentiert die Ergebnisse des durch die FFG beauftragten Assessment des Pilotprogramms „Social Crowdfunding“. Im Rahmen des Pilotprogramms wurden Sozialunternehmen darin unterstützt, für die Aufbringung der nötigen Kofinanzierung eine Crowdfunding-Kampagne aufzustellen und erfolgreich durchzuführen.
LOGOPEDSKA DIJAGNOSTIKA U SAD
Authors: Davinic Ivana , Milosevic Neda
Published: March 2022

U radu su prikazane specifičnosti logopedske dijagnostike u Sjedinjenim Američkim Državama (SAD). Predstavljene su procedure i vrste standardizovanih dijagnostičkih testova koji se svakodnevno koriste u praksi sa ciljem preciznog diferenciranja logopedskog stanja i stepena poremećaja. Rezultati testova se porede sa logopedskim statističkim podacima tipične populacije. Istaknut je značaj standardizovanih testova, različite vrste istih kao i određivanja nivoa poremećaja da bi se jednostavnije odredio terapeutski pristup pojedincu. Cilj rada je da se predstavi odličan pristup logopedske dijagnostike kroz standardizovane testove u SAD-u pri određivanju govorno-jezičkih poremećaja. Zaključeno je da su standardizovani logopedski testovi od krucijalnog značaja za praksu. U radu su navedeni mnogobrojni testovi, materijali i procedure neophodne za procenu komunikacijskih poremećaja i pisanje stručnih evaluacija.
HABITS AND FREQUENCY OF (ONLINE) GAMBLING AMONG YOUNG PEOPLE IN BOSNIA AND HERZEGOVINA
Authors: Dudic Anida , Silajdzic Lamija
Published: March 2022

Gambling of young people as a risky behavior is an increasingly current social problem, but also the subject of numerous researches. The gambling industry is one of the fastest-growing industries in the world, and a significant increase in availability has taken place in the Bosnian and Herzegovinan society. Young people in BiH are entering the world of gambling more often and easier. Bad economic situation, social unrest, high poverty and unemployment rates contribute to this situation. World statistics show that the increase in gambling was significantly affected by the COVID-19 pandemic. Omnipresent digitalization during the pandemic, movement restrictions, but also existential uncertainty have opened a new path to online gambling. Therefore, an research was conducted in which the habits of young people (N=174) and their frequency of (online) gambling were examined. The questionnaire results showed that 70.5% of respondents had played games of chance at least once in their lives. Young people usually play one-time tickets and sports betting. Of particular concern is the fact that individuals play online games of chance on a daily basis. They usually invest a smaller amount of money and more than half of the respondents have lost money on betting at least once. The data show that gambling is most often out of boredom, fun and socializing, and they do not consider such behavior to be problematic. According to self-assessment, only 5.9% of respondents believe that their gambling is somewhat or completely problematic, while 3.7% state that the degree of gambling addiction is so high that they need professional help. On the other hand, Bosnia and Herzegovina lacks prevention programs aimed at problematic youth gambling, which is why they remain deprived of professional support. All of this suggests that serious investment in public health and social policies is needed to offer quality prevention and psychoeducational programs.
Driver Drowsiness Detection Using Machine Learning
Authors: Gade Prof. Swati , Kamble Kshitija , Sheth Aishwarya , Patil Sakshi , Potdar Siddhi
Published: March 2022

Abstract: This document is a review report on the research conducted and the project made in the field of computer engineering to develop a system for driver drowsiness detection to prevent accidents from happening because of driver fatigue and sleeping. The report proposed the results and solutions on the limited implementation of the various techniques that are introduced in the project. Whereas the implementation of the project gives the real world idea of how the system works and what changes can be done in order to improve the utility of the overall system. Furthermore, the paper states the overall of the observation made by the authors in order to help further optimization in the mentioned field to achieve the utility at a better efficiency for a saferroad. Keywords: Driver drowsiness, eye detection, yawn detection, blink pattern
Face Recognition Based Attendance Management System Using HOG Feature Extraction and SVM Classifier
Authors: Khadatkar Vikrant , Bagadkar Shubhangi , Dhande Prof. Nutan
Published: March 2022

Abstract: Face recognition system plays a vital role in almost every sector in this digital era. Face recognition is one of the popular biometrics’ techniques. It can be used for security, authentication, identification and so on. It is having low accuracy when compared to iris recognition and fingerprint recognition, but it is being widely used due to its contactless process. Face recognition technique can also be used for attendance marking field. This system targets to building a class attendance system which is used the technique of face recognition. We all know existing manual attendance system is taking more time and difficult to maintain. And having chances of proxy in attendance. That’s why, the need for this system occurs. This system consists of four phases- registration module, database creation, face detection, face recognition, attendance updating, attendance sending. Database consist of the image of the students in class. Face detection and recognition is performed using HOG feature extraction and SVM (Support Vector Machine) classifier. Faces will be detected and recognized from video streaming of the classroom. Attendance will be mailed to the respective faculty at the end of the lectures. Keywords: Face Recognition; Face Detection; SVM classifier; HOG feature extraction; attendance system;
Hospital Management System: Using Cloud Technology
Authors: Deshmukh Shubham N. , Ghode Shweta M. , Dhomne Apurva V. , Ghumade Payal D. , Dhoke Priya , Kolte Prof. Roshan R.
Published: March 2022

Abstract: Nowadays health is the most important concern in the whole world. Due to that demand of new healthcare technologies are also increasing rapidly. New technologies help people in getting facilities more quickly to ensure getting help in less time than conventional facility. This paper is concerned with modern cloud technology and smart system that can manage and help patient and doctors basically hospital department to maintain data and records of hospital in more efficient way. This system is working on cloud so it’s easy to access, handle and most importantly is more secure without the use of hardware and software which reduces cost and time. Keywords: Cloud, Salesforce, CRM
Elements of Healing Spaces in Hospital
Authors: Srivastav Ambuj
Published: March 2022

Abstract: The research paper emphasises the study of design components for producing healing spaces in healthcare center. Because patients in healthcare centers undergo various treatments that make the surrounding environment strange compared to at home, architectural solutions that include a healing environment in the structure can be added. Health care organisations are beginning to incorporate aspects into hospital building that reduce stress and promote healing, as evidence of the benefits of healing places is being gathered. This paper reveals the relevance of human comfort in creating a therapeutic space, as well as the role of unique design in creating a healing environment. This covers topics such as air quality, colour, texture, light, and sound, among others. Keywords: Healing space, Healthcare, Environment, Design Elements, Unique Design, Human comfort
INFLUENCE OF BALL TO POWDER RATIO AT MECHANICAL MILLING ON THE COERCIVITY OF SOFT MAGNETIC COMPOSITES
Authors: Rudeichuk Tetiana , Maciazsek Robert , Onderko Frantisek , Tkac Martin , Oleksakova Denisa
Published: March 2022

Soft magnetic composites (SMCs) represent specific and useful class of materials with expanding application range. They are intensively studied to reveal its large potential for their properties improvement. These soft magnetic compacted powdered materials are used in a variety of electromagnetic applications such as computer, relay, disk drive, printer, hearing aid devices and others. The aim of this work was determination the coercivity of iron based SMCs prepared from iron particles, which were milled with different intensity.
Turning the tide: crafting a collective narrative of the ocean through participatory media
Authors: Savoie Gianna
Published: March 2022

Participatory media has the ability to engage people in stories of science in ways that are personal, profound and culturally relevant. This essay launches from my experience as a scientist-turned-filmmaker and my establishment of the Ocean Media Institute, a global media collective that serves as a participatory platform for the communication of ocean science. Through collaboration and innovation, we as science storytellers have the ability to shape narratives that are factual, evidence-based and embrace greater inclusivity. Only when we invite diverse perspectives that draw from all ways of knowing, will we be able to provoke deeper dialogue and ignite change.
Men’s Health Research in New Zealand: A Scoping Review
Authors: Xiao Hui , Doolan-Noble Fiona , Liu Lizhou , White Alan , Baxter G. David
Published: March 2022

Background:

Globally, there has been a growing awareness of the health challenges faced by men. The current public health agenda in Aotearoa New Zealand (NZ) does not specifically address the needs of men. The aim of this scoping review was to capture the major health issues facing men in NZ and particularly to identify the knowledge gaps in the understanding of men’s health within the NZ context. This was achieved by presenting key data on their health status and systematically mapping research in NZ related to men’s health; international data are also referenced for context as relevant.

Method:

A search and screening of the literature were conducted using Ovid, Web of Science and Scopus databases from January 1996 to July 2021, with advice from a medical librarian. Search terms included “men’s/male’s health” and “men’s/male’s health NZ.” An environmental scan of international literature was also carried out and information from the Ministry of Health and Statistics NZ was obtained to provide context of the status of research on men’s health in NZ.

Main Findings:

In keeping with international literature, the major health issues for men in NZ are life-limiting diseases including cancer and cardiovascular disease, the spread of overweight and obesity, issues with masculinity and help-seeking behaviours, unhealthy lifestyles, mental health issues and poor health literacy. The main areas of research related to men’s health from the NZ literature were highlighted.

Discussion:

Men’s health remains an under-recognised issue in NZ. If we are to address current inequities in health for men, clinicians, researchers and relevant agencies need to pay more attention to men’s health issues and take up the challenge to highlight and promote men’s health status in NZ.
Pengaruh nilai tukar petani, indeks pembangunan manusia dan PDRB sektor pertanian terhadap ketimpangan distribusi pendapatan Provinsi di Wilayah Sumatera
Authors: Firmansyah Ukat , Junaidi Junaidi , Achmad Erni
Published: March 2022

This study aims to determine how the effect of the Farmer's Exchange Rate, Human Development Index, and GRDP of the Agricultural Sector on the inequality of income distribution in the Province of Sumatra Island. The research method used in this research is the descriptive quantitative analysis method. The data used in this study is secondary data with a panel data model using the approach Random Effect Model (REM). This study uses time-series data (time series) from 2015 to 2019. The data analysis tool in this study uses Panel Data Regression. Based on the analysis, it was found that simultaneously (F test) Farmer's Exchange Rate, Human Development Index, and GRDP of the Agricultural Sector had a significant effect on the inequality of income distribution. Then partially (t-test) Farmer's Exchange Rate has a negative and significant effect on income distribution inequality, the Human Development Index has a negative and significant effect on income distribution inequality, and GRDP in the agricultural sector has a negative and insignificant effect on income distribution inequality.
Keunggulan ekspor antar negara dan daya saing produk UMKM Indonesia dengan Pendekatan Gravity Model
Authors: Rozani Alvis , Huda Nurul
Published: March 2022

This research analyzes the potential export development of Indonesian SME products in 12 main export destination countries and determines the ranking of export destination countries. The study used a model of gravity that is distance as an indirect variable. The study results found that the average value of the development of the relative export potential of Indonesian SME products is the most in-demand are agricultural raw material products such as palm oil, coffee, and forest products. Other potential such as textile products is also a potential market share is high in the export destination country. Based on the ranking of export destination countries, the United States ranks first with a holding capacity value (Di = AiHi) of 42,895,457.11, then Japan at 10,890,740.61, then Germany with a value of 5,488,387.57. In general, export destinations in these countries are dominated by plantation products and textile products of textile products. Thus it can be concluded that Indonesian SME export products have competitiveness in 12 export destination countries.
Pengaruh pengetahuan pajak, kesadaran pajak dan tarif pajak terhadap kepatuhan pajak wajib Pajak UKM Kota Jambi
Authors: Mansur Fitrini , Maiyarni Reka , Prasetyo Eko , Hernando Riski
Published: March 2022

This study aims to determine the compliance of taxpayers with their obligations to pay taxes. The theoretical concepts tested are tax knowledge, tax awareness, and tax compliance rates. Data was collected through questionnaires on 100 small and medium-sized businesses in the printing and screen printing sector. Multiple regression analysis was used to test the hypothesis. The results showed that tax knowledge, tax awareness, and tax rates positively affected taxpayer compliance. This research can assist the government in determining the policies needed to improve tax compliance. These results indicate that the government needs to increase tax awareness and attention to tax rates to improve tax compliance in fulfilling its tax obligations.
Muscle Usage and Workload Assessment of Cardiac Ablation Procedure with the Use of a Novel Catheter Torque Tool in a Pediatric Simulator
Authors: Mass Paige , Kumthekar Rohan N. , Clark Bradley , Opfermann Justin D. , Sherwin Elizabeth , DiBiase Luigi , Berul Charles I.
Published: March 2022

Background: Cardiac ablation catheters are small in diameter and
pose ergonomic challenges that can affect catheter stability.
Significant finger dexterity and strength are necessary to maneuver them
safely. We evaluated a novel torque tool to reduce muscle activation
when manipulating catheters and improve perceived workload of ablation
tasks. Objective: Evaluate measurable success, user perception of
workload, and muscle usage when completing a simulated ablation task
with and without the use of a catheter torque tool. Methods:
Cardiology attendings and fellows were fitted with surface
electromyographic (EMG) sensors on 6 key muscle groups in the left hand
and forearm. A standard ablation catheter was inserted into a pediatric
cardiac ablation simulator and subjects navigated the catheter tip to 6
specific electrophysiologic targets, including a 1-minute simulated
radiofrequency ablation lesion. Time to complete the task, number of
attempts required to complete the lesion, and EMG activity normalized to
percentage of maximum voluntary contraction was collected throughout the
task. The task was completed 4 times, twice with and twice without the
torque tool, in randomized order. A NASA Task Load Index survey was
completed by the participant at the conclusion of each task.
Results: Time to complete the task and number of attempts to
create a lesion were not altered by the tool. Subjectively, participants
reported a significant decrease in physical demand, effort and
frustration, and a significant increase in performance. Muscle
activation was decreased in 4 of 6 muscle groups. Conclusion: The
catheter torque tool may improve the perceived workload of cardiac
ablation procedures and reduce muscle fatigue caused by manipulating
catheters. This may result in improved catheter stability and increased
procedural safety.
Increased Intracranial Pressure As The Presentation Of Evans Syndrome In A 4-Year-Old Boy
Authors: Herschbein Lauren , Raynes Hillary , Bailey Kayleen
Published: March 2022

Evans syndrome (ES) is a combination of autoimmune cytopenias. Seldom
patients with ES have been described as having neurological
manifestations. We describe a case of ES presenting as increased
intracranial pressure in a 4-year-old boy. This patient failed his
routine vision screening and was found to have bilateral papilledema.
Labwork: neutropenia, thrombocytopenia, and anemia with warm
autoantibody IgG (Direct Coombs IgG 2+, C3 negative, weak
para-agglutination). Brain MRI/MRA/MRV: increased intracranial pressure.
CT abdomen/pelvis: enlarged paraaortic lymph nodes, without
splenomegaly. Bone marrow biopsy/aspirate and LN biopsy: negative for
evidence of malignancy or infection. Patient was managed with prednisone
and topiramate.
Data-Driven Flow-Map Models for Data-Efficient Discovery of Dynamics and Fast Uncertainty Quantification of Biological and Biochemical Systems
Authors: Mesbah Ali , Makrygiorgos Georgios , Berliner Aaron , Shi Fengzhe , Clark Douglas , Arkin Adam
Published: March 2022

Computational models are increasingly used to investigate and predict
the complex dynamics of biological and biochemical systems.
Nevertheless, governing equations of a biochemical system may not be
(fully) known, which would necessitate learning the system dynamics
directly from, often limited and noisy, observed data. On the other
hand, when expensive models are available, systematic and efficient
quantification of the effects of model uncertainties on quantities of
interest can be an arduous task. This paper leverages the notion of
flow-map (de)compositions to present a framework that can address both
of these challenges via learning data-driven models useful for capturing
the dynamical behavior of biochemical systems. Data-driven flow-map
models seek to directly learn the integration operators of the governing
differential equations in a black-box manner, irrespective of structure
of the underlying equations. As such, they can serve as a flexible
approach for deriving fast-to-evaluate surrogates for expensive
computational models of system dynamics, or, alternatively, for
reconstructing the long-term system dynamics via experimental
observations. We present a data-efficient approach to data-driven
flow-map modeling based on polynomial chaos Kriging. The approach is
demonstrated for discovery of the dynamics of various benchmark systems
and a co-culture bioreactor subject to external forcing, as well as for
uncertainty quantification of a microbial electrosynthesis reactor. Such
data-driven models and analyses of dynamical systems can be paramount in
the design and optimization of bioprocesses and integrated
biomanufacturing systems.
Debris flow weakens the ecological role of river microhabitat heterogeneity in mountainous regions
Authors: Zhu Penghui , Pan Baozhu , Li Zhiwei , Zhao Gengnan , Liu Xinyuan
Published: March 2022

Mountain rivers exert critical ecological effects downstream by
retaining or transmitting sediment and nutrients, providing habitat and
refuge for diverse aquatic and riparian organisms, and creating
migration corridors. River microhabitat heterogeneity (RMH), which plays
a key role in ecological restoration and improvement, is sensitive to
external disturbances in mountain rivers. However, the effects of RMH,
induced by hydro-geomorphological processes, on local macroinvertebrates
have not been quantitatively studied. To explore the ecological
significance of RMH, we selected five debris flow-dominated mountain
rivers (DMR) and five equilibrium sediment transport mountain rivers
(EMR) as contrasting examples based on the richness of sediment supply.
We measured water depth, flow velocity, and substrate composition in all
rivers and proposed a new RMH index (RMHI) for quantitative evaluation
of RMH. Macroinvertebrate standing stocks, taxonomic diversity,
functional diversity, and functional traits were compared between DMR
and EMR. Macroinvertebrate standing stocks in DMRs were about one-third,
and α-diversity was half, of those in EMRs. The macroinvertebrate
communities exhibited a turnover-dominated pattern in both DMRs and
EMRs. Resource availability and utilization efficiency were also smaller
in DMRs than in EMRs, which caused a macroinvertebrate community shift
from R-strategy to K-strategy. Besides, RMH supported macroinvertebrate
α-diversity and functional richness in both DMR and EMR, but debris flow
weakened the ecological role of RMH in DMR. Our findings suggested that,
in order to maintain the ecological health of mountain rivers, RMHI
should be ≥ 8.0. According study results, rivers with greater
macroinvertebrate species richness should be managed as a priority for
biodiversity conservation by maintaining RMH above its threshold. This
could be achieved through the addition of large stones to rivers, which
would act to create a large range of riverbed sediment sizes and
variable flow regimes, as well as increasing the space available to
macroinvertebrates.
Sudden Sensorineural Hearing Loss as the Initial Symptom in Acoustic Neuroma Patients
Authors: Song Mengtao , Wang Dayong , Li Jin , Chen Guohui , Zhang Xiaolong , Wang Hongyang , Wang Qiuju
Published: March 2022

Objective: To investigate the clinical characteristics, diagnosis and
treatment of acoustic neuroma (AN) in patients diagnosed as sudden
sensorineural hearing loss (SSNHL) initially. Design: A retrospective
study. Setting: Department of otorhinolaryngology of a tertiary hospital
in China. Participants: We collected a total of 10 patients presented
with SSNHL as the initial symptom and diagnosed as AN by magnetic
resonance imaging (MRI) finally. Main outcome measures: Patient
demographics, audiology tests, MRI examination and management results
were reviewed and analyzed. Results: Of the 10 patients enrolled in this
study, four were male and six were females. Average age at time of
diagnosis of SSNHL was 46.2 ± 13.16 years. These patients exhibited
varying severity of hearing loss and a variety of audiogram
configurations. All patients showed an abnormal ABR. According to the
Koos grading standard, there were 5 grade I (intracanalicular) tumors, 3
grade II tumors and 2 grade III tumors. The treatment outcome revealed
that 2 patients exhibited recovery of the average hearing of impaired
frequency by more than 15 dB, and 6 patients showed no recovery. Four
patients were referred to undergo surgical treatment after being
diagnosed with AN, 1 patient accepted stereotactic radiation therapy,
and the remaining 5 patients were taken “waiting and scan” strategy.
Conclusions: The initial symptom of ANs may occasionally present as
SSNHL. Hearing recovery for SSNHL does not exclude the presence of AN
and all patients diagnosed as SSNHL initially should undergo MRI and ABR
to prevent misdiagnosis and delays in potential treatment.
Comparative analysis of magnetically activated cell sorting and ultracentrifugation for exosome isolation from human mesenchymal stem cell culture supernatant
Authors: Ciftci-Dede Eda , Bozbeyoğlu Naz , Gürsel İhsan , Korkusuz Feza , Bakan-Misirlioglu Feray , KORKUSUZ PETEK
Published: March 2022

Exosomes derived from mesenchymal stem cells regulate cell migration,
proliferation, differentiation, and synthesis of the extracellular
matrix. The ultracentrifugation method is the gold standard for exosome
isolation with its simple protocol, high exosomal yield, allowing to
work with high volume of sample features, but low purity and requirement
of specialized equipment. Optimal isolation does not exist yet for
obtaining the exosomes derived from mesenchymal stem cells for clinical
usage. We hypothesized that magnetic-activated cell sorting may provide,
effective and rapid exosomes derived from human mesenchymal stem cells
when compared to ultracentrifugation. We, therefore, aimed to compare
the efficiency of magnetic-activated cell sorting and
ultracentrifugation for human bone marrow mesenchymal stem cell-derived
exosome isolation from culture media by protein quantification, surface
biomarker analysis, particle size and number analysis, and morphological
analysis in vitro. Magnetically activated cell sorting provided a higher
purity and amount of exosome when compared to ultracentrifugation.
Magnetically activated cell sorting isolated samples exhibited the
presence of magnetic beads morphologically. The particle number of the
magnetic-activated cell sorting group was higher than the
ultracentrifugation. In conclusion, the isolation of exosomes derived
from mesenchymal stem cells by magnetic-activated cell sorting presents
a quick and reliable method to collect them at high purity for clinical
usage.