bluuebunny/crossref_metadata_2025 huggingface dataset:
Antifungal activity of Ventilago maderspatana on Trichophyton rubrum - An in vitro study
Authors: S Rajalekshmi , PB Beni , S Gopikrishna
Published: September 2021

The aim of the study was to contribute a single drug for specific dermatophyte species to encourage diagnosis specific treatment. The study had two arms one clinical part consisting of cross-sectional study of 80 participants and other part invitro study. The survey was conducted to know the prevalence of dermatophyte species among cutaneous dermatophytosis patients in Kottakkal population there by collecting the skin scrapings of the patients. As the second part of the study these skin scrapings were cultured in sabouraud dextrose agar (SDA) and the species were inoculated from their and identified. Thus from 80 participants 2-genus and 6 different species were obtained. Trichophyton and microsporum were the genus and among Trichophyton 4 species like T.rubrum, T.mentagrophytes, T.tonsurans and T.verrucossum and Microsporum genus consists of M.canis and Microsporumaudouinii. First MIC was calculated and after that antifungal activity was done through the agar well diffusion method using ventilago maderaspattana extracts against fluconazole. Three different extracts were used chloroform, methanol and ethanol. In this article the action of easily available low polarity chloroform extract against the most prevalent species T. rubrum is highlighted because it shows the highest mean zone of inhibition in agar well diffusion method.
Pharmaceutical and Analytical Study of Ashwagandha Paak
Authors: Rathod Baban , Asore Gangaprasad , Bhawarlal Suthar Kanchan
Published: September 2021

Avaleha / Paak Kalpana is Upkalpana of Kwatha which is commonly prepared nowadays and useful in various disorders. Because of simple preparation method, better palatability and longer shelf life it is gaining popularity on a large scale. Ashwagandha Paak has been prepared as per reference of Bharat Bhaishajya Ratnakar. After preparation it has been studied for its quality and pharmaceutical parameters.
Physico-Chemical analysis of Gandharvahasta Taila - A Polyherbal formulation
Authors: Seth1 Sachin , Asore Gangaprasad , Sonawane Vishakha Vivek
Published: September 2021

Sneha Kalpana, a group of medicated Taila and Ghrita is an important dosage form described in Ayurveda. It is the only dosage form that can be administered conveniently both internally and externally depending on the diseased conditions. Among these, Taila Kalpana is considered as the drug of choice for Vatavikaras. Gandharvahasta Taila is mentioned in Ashtanga Sangraha in the context of Vidradhivrudhi Chikitsa indicated in Vidradhi, Pleeha, Vata disorders, etc. Aim: The aim of the study was to prepare and analyze the physicochemical parameters of Gandharvahastadi Taila. Materials and Methods: Gandharvahasta Taila was prepared as per the reference in Ashtanga Sangraha. The obtained product was subjected to organoleptic and physicochemical analysis. Results: Physicochemical parameters obtained are refractive index at 25°C - 1.463, saponification value - 190 mg/g, unsaponifiable matter - 1.4%, specific gravity at 30°C - 0.9201, and viscosity at 30°C - 880cp. Conclusion: The values obtained after analysis were found to be within the permissible limits of API.
A clinical study to evaluate the efficacy of Murivenna application on Episiotomy Wound
Authors: P Keerthy , Patil Savita S.
Published: September 2021

A surgically planned incision on the perineum and the posterior vaginal wall during the second stage of labor is called episiotomy (Perineotomy). It is in fact an inflicted second-degree perineal injury. It is the most common obstetric operation performed. This is done to enlarge the vaginal introitus to facilitate easy and safe delivery of the fetus and to minimize overstretching and rupture of the perineal muscles and fascia thus to reduce the stress and strain on the fetal head. This wound of episiotomy is associated with a delicate area of the female with immense pain and discomfort and seeks appropriate medical care and attention. If ignored, it may lead to puerperal wound infections and delayed healing that can interfere mother-infant interaction, lactation and prolonged hospital stay. Episiotomy wound care should be start immediately after suturing the wound in order to reduce pain and inflammation. The surgical wound of episiotomy can be considered as Sadyo Vrana. Different treatment modalities have been told in Ayurveda for Vrana Chikitsa. Drugs having Shodhana and Ropana qualities are essential for healing. In this research study total 30 patients were registered and treated in two groups, group A with application of Jatyadi Taila on episiotomy wound after Ushna Jala Parisheka as a standard control group and Group B with application of Murivenna after Ushna Jala Parisheka as a trial group. Encouraging results were observed in Murivenna. Study emerges that Murivenna possess better pain relieving and tenderness diminishing properties.
A Biochemical Approach to Understand the Concept of Snigdha Guna of Ghee and Ruksha Guna of Terminalia arjuna on Behaviour of 3T3-L1 Cell Line with Respect to Adipocytic and Anti-Adipocytic Activity : In Vitro
Authors: Dighekar Ruchika , Tawalare Kiran
Published: September 2021

Ayurvedic medicine is a system of traditional medicine native to India. Ayurveda is based on peculiar fundamental principles like Shatpadarth, Tridosha Theory, Panchamahabhuta Theory, Prakriti, Ojas, Dhatu, Mala, Agni, Manas, and Atma etc. The concepts of Ayurveda are expressed with Gunas. The increased elements are treated by opposite Guna. In support of the above concept, an experimental study on the 3T3-L1 cell line is carried out for examine the adipocytic and anti adipocytic activity of Snigdha and Ruksha Guna respectively. The results were assessed with the help of evaluation of sublethal concentration by using XTT assay and lipid assay. The aim of basic research in Ayurveda through bioscience is to explore scientific innovation and opportunities in fundamental concept of Ayurveda. Fundamental research needs to be done to highlight the concept of gurvadi guna through the in vitro study.
Library Liaison Services in US Community Colleges
Authors: Wahl Mary
Published: September 2021

Library liaison services have been shown to be a valuable component of higher education in the US. Despite this established value, however, liaison services specific to community colleges are rarely discussed in the scholarly literature, while such services from universities and research institutions are well researched. Though it is understandable that liaison services at universities and community colleges would have similarities such as collaboration and outreach with students and faculty, it is only logical that they would also have differences due to the differences in user groups they serve. However, performing any reasonable comparison is difficult due to the absence of scholarly discourse regarding liaison services at community colleges. This article fills this gap by presenting survey data on the state of liaison services in community college libraries in the US. The data shows that a range of liaison work is being performed by community college librarians; A number of opportunities for further inquiry are also identified.
Streamlining Support: Improving Outreach by Creating a Sustainable Events Framework
Authors: Tess Colwell  , O'Keefe Alex
Published: September 2021

Outreach programming in academic libraries includes hosting and marketing library events. At the Robert B. Haas Family Arts Library, events were previously executed ad-hoc and by a few librarians. In order to streamline this work for greater efficiency, promote collaboration, and better serve their patrons, the Arts Library formed a Programming Team. The group developed a framework for library events, as well as workflows and documentation guidelines. This article outlines the process of forming the group, establishing workflows and procedures, and takeaways from an academic year of implementation. It provides a top-level model for coordinating events systematically, highlighting Fall 2019 Reading Week as a case study for using the framework for live events. It additionally discusses adapting the model to fit remote and outside events in spring 2020. The authors conclude with a list of suggestions and considerations for librarians contemplating a similar configuration for their events and programs.
Innovative Strategies and Challenges for the Prevention of Pathological Anxiety in Children and Adolescents
Authors:   Department of Child Psychiatry, School of Medicine, National and Kapodistrian University of Athens, ", Syros Ioannis ,   Aghia Sophia",   Children's Hospital, Athens, Greece,   Child and Adolescent Psychiatry Unit, “Sotiria” General Hospital, Athens, Greece, Karantzali Aggeliki ,   Society of Social Psychiatry, P.Sakellaropoulos, Athens, Greece, Anastassiou-Hadjicharalambous Xenia ,   Psychology Program, University of Nicosia, 46 Makedonitissas Avenue, P.O.Box 24005, 1700 Nicosia, Cyprus
Published: September 2021

The effects of pathological anxiety on public health have led to the realization that anxious children might experience significant limitations in their lives. Evidence-based cognitive-behavioral (CB) interventions are now being implemented in schools at a group level to combat anxiety.Childhood emotional health should be considered a national and global priority for an effective strategy promoting the prevention of mental health. The aim of this study is the description of novel data on the effectiveness of preventive interventions for anxious children, as well as the study of selective parameters that appear to affect treatment outcome.Furthermore, a brief review is cited regarding two empirically supported interventions, which include the Friends and Pyramid Club program and the Super Skills for Life program. Schools are considered suitable places for all types of prevention programs; they provide a familiar environment to a child, and by providing access to the prevention programs to many children, school programs could be the ideal way for anxious young individuals to practice and generalize their skills. Schools also offer an ideal space for collaboration between teachers and mental health professionals. Most programs have been effective in reducing anxiety, especially those based on the principles of CB, where the effects appear to be independent of the professional status of the leader (trained teacher or mental health professional). Friends and Pyramid Club interventions are well-established, multifaceted, and cost-effective programs, which include combinations of techniques (mostly behavioral activation, cognitive preparation, teaching social skills, and relaxation techniques). Super Skills for Life is a promising program, which also uses video feedback as a part of treatment. Prevention programs have been established as a vital part of the treatment options for specialists. Research related to childhood anxiety is increasing, while the perspectives for finding novel data seem promising for the upcoming years.In this context, several studies reveal the need for early, selective, intensive, persistent, multifaceted, and participatory interventions.
A Text Messaging Intervention (StayWell at Home) to Counteract Depression and Anxiety During COVID-19 Social Distancing: Pre-Post Study
Authors: Aguilera Adrian , Hernandez-Ramos Rosa , Haro-Ramos Alein Y , Boone Claire Elizabeth , Luo Tiffany Christina , Xu Jing , Chakraborty Bibhas , Karr Chris , Darrow Sabrina , Figueroa Caroline Astrid
Published: September 2021

Background

Social distancing and stay-at-home orders are critical interventions to slow down person-to-person transmission of COVID-19. While these societal changes help contain the pandemic, they also have unintended negative consequences, including anxiety and depression. We developed StayWell, a daily skills-based SMS text messaging program, to mitigate COVID-19–related depression and anxiety symptoms among people who speak English and Spanish in the United States.

Objective

This paper describes the changes in StayWell participants’ anxiety and depression levels after 60 days of exposure to skills-based SMS text messages.

Methods

We used self-administered, empirically supported web-based questionnaires to assess the demographic and clinical characteristics of StayWell participants. Anxiety and depression were measured using the 2-item Generalized Anxiety Disorder (GAD-2) scale and the 8-item Patient Health Questionnaire-8 (PHQ-8) scale at baseline and 60-day timepoints. We used 2-tailed paired t tests to detect changes in PHQ-8 and GAD-2 scores from baseline to follow-up measured 60 days later.

Results

The analytic sample includes 193 participants who completed both the baseline and 60-day exit questionnaires. At the 60-day time point, there were significant reductions in both PHQ-8 and GAD-2 scores from baseline. We found an average reduction of –1.72 (95% CI –2.35 to –1.09) in PHQ-8 scores and –0.48 (95% CI –0.71 to –0.25) in GAD-2 scores. These improvements translated to an 18.5% and 17.2% reduction in mean PHQ-8 and GAD-2 scores, respectively.

Conclusions

StayWell is an accessible, low-intensity population-level mental health intervention. Participation in StayWell focused on COVID-19 mental health coping skills and was related to improved depression and anxiety symptoms. In addition to improvements in outcomes, we found high levels of engagement during the 60-day intervention period. Text messaging interventions could serve as an important public health tool for disseminating strategies to manage mental health.

Trial Registration

ClinicalTrials.gov NCT04473599; https://clinicaltrials.gov/ct2/show/NCT04473599

International Registered Report Identifier (IRRID)

RR2-10.2196/23592
Promoting Safe Sleep, Tobacco Cessation, and Breastfeeding to Rural Women During the COVID-19 Pandemic: Quasi-Experimental Study
Authors: Ahlers-Schmidt Carolyn R , Schunn Christy , Hervey Ashley M , Torres Maria , Nelson Jill Elizabeth V
Published: September 2021

Background

Safe Sleep Community Baby Showers address strategies to prevent sleep-related infant deaths. Due to the COVID-19 pandemic, these events transitioned from in-person to virtual.

Objective

This study describes outcomes of transitioning Safe Sleep Community Baby Showers to a virtual format and compares outcomes to previous in-person events.

Methods

Participants from four rural Kansas counties were emailed the presurvey, provided educational materials (videos, livestream, or digital documents), and completed a postsurvey. Those who completed both surveys received a portable crib and wearable blanket. Within-group comparisons were assessed between pre- and postsurveys; between-group comparisons (virtual vs in-person) were assessed by postsurveys.

Results

Based on data from 145 in-person and 74 virtual participants, virtual participants were more likely to be married (P<.001) and have private insurance (P<.001), and were less likely to report tobacco use (P<.001). Both event formats significantly increased knowledge and intentions regarding safe sleep and avoidance of secondhand smoke (all P≤.001). Breastfeeding intentions did not change. Differences were observed between in-person and virtual meetings regarding confidence in the ability to avoid secondhand smoke (in-person: 121/144, 84% vs virtual: 53/74, 72%; P=.03), intention to breastfeed ≥6 months (in-person: 79/128, 62% vs virtual: 52/66, 79%; P=.008), and confidence in the ability to breastfeed ≥6 months (in-person: 58/123, 47% vs virtual: 44/69, 64%; P=.02).

Conclusions

Although both event formats demonstrated increased knowledge/intentions to follow safe sleep recommendations, virtual events may further marginalize groups who are at high risk for poor birth outcomes. Strategies to increase technology access, recruit priority populations, and ensure disparities are not exacerbated will be critical for the implementation of future virtual events.
Association Between eHealth Literacy in Online Health Communities and Patient Adherence: Cross-sectional Questionnaire Study (Preprint)
Authors: Lu Xinyi , Zhang Runtong
Published: September 2021

BACKGROUND

eHealth literacy is significantly associated with patients’ online information behavior, physician-patient relationship, patient adherence, and health outcomes. As an important product of the internet, online health communities (OHCs) can help redistribute idle medical resources, increase medical resource utilization, and improve patient adherence. However, studies on eHealth literacy in OHCs are limited. Therefore, this study examined patients’ eHealth literacy regarding health information–seeking behavior and physician-patient communication in OHCs.

OBJECTIVE

This study aimed to investigate the association between eHealth literacy in OHCs and patient adherence by employing social cognitive theory.

METHODS

This was an empirical study, in which a research model consisting of 1 independent variable (patients’ eHealth literacy), 3 mediators (physician-patient communication in OHCs, patient health information–seeking behavior in OHCs, and patients’ perceived quality of health information in OHCs), 1 dependent variable (patient adherence), and 4 control variables (age, gender, living area, and education level) was established to examine the associations. Multi-item scales were used to measure variables. An anonymous online survey involving 560 participants was conducted through Chinese OHCs in July 2018 to collect data. Partial least squares and structural equation modeling were adopted to analyze data and test hypotheses.

RESULTS

The survey response rate was 79.6% (446/560). The reliability, convergent validity, and discriminant validity were acceptable. Age, gender, living area, and education level were positively associated with patient adherence, and gender was positively associated with physician-patient communication and patients’ perceived quality of internet health information in OHCs. Patients’ eHealth literacy was positively associated with patient adherence through the mediations of physician-patient communication, internet health information–seeking behavior, and perceived quality of internet health information in OHCs.

CONCLUSIONS

Results indicate that physician-patient communication, internet health information–seeking behavior, and the perceived quality of internet health information are significantly associated with improving patient adherence via a guiding of eHealth literacy in OHCs. These findings suggest that physicians can understand and guide their patients’ eHealth literacy to improve treatment efficiency; OHCs’ operators should this strengthen the management of information quality, develop user-friendly features, and minimize the gap between the actual and perceived information quality.
Diagnostic Accuracy of Smartphone-Based Audiometry for Hearing Loss Detection: Meta-analysis (Preprint)
Authors: Chen Chih-Hao , Lin Heng-Yu Haley , Wang Mao-Che , Chu Yuan-Chia , Chang Chun-Yu , Huang Chii-Yuan , Cheng Yen-Fu
Published: September 2021

BACKGROUND

Hearing loss is one of the most common disabilities worldwide and affects both individual and public health. Pure tone audiometry (PTA) is the gold standard for hearing assessment, but it is often not available in many settings, given its high cost and demand for human resources. Smartphone-based audiometry may be equally effective and can improve access to adequate hearing evaluations.

OBJECTIVE

The aim of this systematic review is to synthesize the current evidence of the role of smartphone-based audiometry in hearing assessments and further explore the factors that influence its diagnostic accuracy.

METHODS

Five databases—PubMed, Embase, Cochrane Library, Web of Science, and Scopus—were queried to identify original studies that examined the diagnostic accuracy of hearing loss measurement using smartphone-based devices with conventional PTA as a reference test. A bivariate random-effects meta-analysis was performed to estimate the pooled sensitivity and specificity. The factors associated with diagnostic accuracy were identified using a bivariate meta-regression model. Study quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 tool.

RESULTS

In all, 25 studies with a total of 4470 patients were included in the meta-analysis. The overall sensitivity, specificity, and area under the receiver operating characteristic curve for smartphone-based audiometry were 89% (95% CI 83%-93%), 93% (95% CI 87%-97%), and 0.96 (95% CI 0.93-0.97), respectively; the corresponding values for the smartphone-based speech recognition test were 91% (95% CI 86%-94%), 88% (95% CI 75%-94%), and 0.93 (95% CI 0.90-0.95), respectively. Meta-regression analysis revealed that patient age, equipment used, and the presence of soundproof booths were significantly related to diagnostic accuracy.

CONCLUSIONS

We have presented comprehensive evidence regarding the effectiveness of smartphone-based tests in diagnosing hearing loss. Smartphone-based audiometry may serve as an accurate and accessible approach to hearing evaluations, especially in settings where conventional PTA is unavailable.
Factors Associated With Longitudinal Psychological and Physiological Stress in Health Care Workers During the COVID-19 Pandemic: Observational Study Using Apple Watch Data (Preprint)
Authors: Hirten Robert P , Danieletto Matteo , Tomalin Lewis , Choi Katie Hyewon , Zweig Micol , Golden Eddye , Kaur Sparshdeep , Helmus Drew , Biello Anthony , Pyzik Renata , Calcagno Claudia , Freeman Robert , Sands Bruce E , Charney Dennis , Bottinger Erwin P , Murrough James W , Keefer Laurie , Suarez-Farinas Mayte , Nadkarni Girish N , Fayad Zahi A
Published: September 2021

BACKGROUND

The COVID-19 pandemic has resulted in a high degree of psychological distress among health care workers (HCWs). There is a need to characterize which HCWs are at an increased risk of developing psychological effects from the pandemic. Given the differences in the response of individuals to stress, an analysis of both the perceived and physiological consequences of stressors can provide a comprehensive evaluation of its impact.

OBJECTIVE

This study aimed to determine characteristics associated with longitudinal perceived stress in HCWs and to assess whether changes in heart rate variability (HRV), a marker of autonomic nervous system function, are associated with features protective against longitudinal stress.

METHODS

HCWs across 7 hospitals in New York City, NY, were prospectively followed in an ongoing observational digital study using the custom Warrior Watch Study app. Participants wore an Apple Watch for the duration of the study to measure HRV throughout the follow-up period. Surveys measuring perceived stress, resilience, emotional support, quality of life, and optimism were collected at baseline and longitudinally.

RESULTS

A total of 361 participants (mean age 36.8, SD 10.1 years; female: n=246, 69.3%) were enrolled. Multivariate analysis found New York City’s COVID-19 case count to be associated with increased longitudinal stress (P=.008). Baseline emotional support, quality of life, and resilience were associated with decreased longitudinal stress (P<.001). A significant reduction in stress during the 4-week period after COVID-19 diagnosis was observed in the highest tertial of emotional support (P=.03) and resilience (P=.006). Participants in the highest tertial of baseline emotional support and resilience had a significantly different circadian pattern of longitudinally collected HRV compared to subjects in the low or medium tertial.

CONCLUSIONS

High resilience, emotional support, and quality of life place HCWs at reduced risk of longitudinal perceived stress and have a distinct physiological stress profile. Our findings support the use of these characteristics to identify HCWs at risk of the psychological and physiological stress effects of the pandemic.
Consumer Devices for Patient-Generated Health Data Using Blood Pressure Monitors for Managing Hypertension: Systematic Review (Preprint)
Authors: Treadwell Jonathan R , Rouse Benjamin , Reston James , Fontanarosa Joann , Patel Neha , Mull Nikhil K
Published: September 2021

BACKGROUND

In the era of digital health information technology, there has been a proliferation of devices that collect patient-generated health data (PGHD), including consumer blood pressure (BP) monitors. Despite their widespread use, it remains unclear whether such devices can improve health outcomes.

OBJECTIVE

We performed a systematic review of the literature on consumer BP monitors that collect PGHD for managing hypertension to summarize their clinical impact on health and surrogate outcomes. We focused particularly on studies designed to measure the specific effect of using a BP monitor independent of cointerventions. We have also summarized the process and consumer experience outcomes.

METHODS

An information specialist searched PubMed, MEDLINE, and Embase for controlled studies on consumer BP monitors published up to May 12, 2020. We assessed the risk of bias using an adapted 9-item appraisal tool and performed a narrative synthesis of the results.

RESULTS

We identified 41 different types of BP monitors used in 49 studies included for review. Device engineers judged that 38 (92%) of those devices were similar to the currently available consumer BP monitors. The median sample size was 222 (IQR 101-416) participants, and the median length of follow-up was 6 (IQR 3-12) months. Of the included studies, 18 (36%) were designed to isolate the clinical effects of BP monitors; 6 of the 18 (33%) studies evaluated health outcomes (eg, mortality, hospitalizations, and quality of life), and data on those outcomes were unclear. The lack of clarity was due to low event rates, short follow-up duration, and risk of bias. All 18 studies that isolated the effect of BP monitors measured both systolic and diastolic BP and generally demonstrated a decrease of 2 to 4 mm Hg in systolic BP and 1 to 3 mm Hg in diastolic BP compared with non–BP monitor groups. Adherence to using consumer BP monitors ranged from 38% to 89%, and ease of use and satisfaction ratings were generally high. Adverse events were infrequent, but there were a few technical problems with devices (eg, incorrect device alerts).

CONCLUSIONS

Overall, BP monitors offer small benefits in terms of BP reduction; however, the health impact of these devices continues to remain unclear. Future studies are needed to examine the effectiveness of BP monitors that transmit data to health care providers. Additional data from implementation studies may help determine which components are critical for sustained BP improvement, which in turn may improve prescription decisions by clinicians and coverage decisions by policy makers.
Using Natural Language Processing to Assess the Psychological Effect of COVID-19 Pandemic on Insomnia via Tweets: A Pre-Post Retrospective Pilot Study (Preprint)
Authors: Maghsoudi Arash , Nowakowski Sara , Agrawal Ritwick , Sharafkhaneh Amir , Aram Sadaf , Kunik Mark E. , Naik Aanand , Xu Hua , Razjouyan Javad
Published: September 2021

BACKGROUND

The COVID-19 pandemic has imposed additional stress on population health that may result in a higher incidence of insomnia. In this study, we hypothesized that using natural language processing (NLP) to explore social media would help to identify the mental health condition of the population experiencing insomnia after the outbreak of COVID-19.

OBJECTIVE

In this study, we hypothesized that using natural language processing (NLP) to explore social media would help to identify the mental health condition of the population experiencing insomnia after the outbreak of COVID-19.

METHODS

We designed a pre-post retrospective study using public social media content from Twitter. We categorized tweets based on time into two intervals: prepandemic (01/01/2019 to 01/01/2020) and pandemic (01/01/2020 to 01/01/2021). We used NLP to analyze polarity (positive/negative) and intensity of emotions and also users’ tweets psychological states in terms of sadness, anxiety and anger by counting the words related to these categories in each tweet. Additionally, we performed temporal analysis to examine the effect of time on the users’ insomnia experience.

RESULTS

We extracted 268,803 tweets containing the word insomnia (prepandemic, 123,293 and pandemic, 145,510). The odds of negative tweets (OR, 1.31; 95% CI, 1.29-1.33), anger (OR, 1.19; 95% CI, 1.16-1.21), and anxiety (OR, 1.24; 95% CI: 1.21-1.26) were higher during the pandemic compared to prepandemic. The likelihood of negative tweets after midnight was higher than for other daily intevals, comprising approximately 60% of all negative insomnia-related tweets in 2020 and 2021 collectively.

CONCLUSIONS

Twitter users shared more negative tweets about insomnia during the pandemic than during the year before. Also, more anger and anxiety-related content were disseminated during the pandemic on the social media platform. Future studies using an NLP framework could assess tweets about other psychological distress, habit changes, weight gain due to inactivity, and the effect of viral infection on sleep.
Central COVID-19 Coordination Centers in Germany: Description, Economic Evaluation, and Systematic Review (Preprint)
Authors: Schopow Nikolas , Osterhoff Georg , von Dercks Nikolaus , Girrbach Felix , Josten Christoph , Stehr Sebastian , Hepp Pierre
Published: September 2021

BACKGROUND

During the COVID-19 pandemic, Central COVID-19 Coordination Centers (CCCCs) have been established at several hospitals across Germany with the intention to assist local health care professionals in efficiently referring patients with suspected or confirmed SARS-CoV-2 infection to regional hospitals and therefore to prevent the collapse of local health system structures. In addition, these centers coordinate interhospital transfers of patients with COVID-19 and provide or arrange specialized telemedical consultations.

OBJECTIVE

This study describes the establishment and management of a CCCC at a German university hospital.

METHODS

We performed economic analyses (cost, cost-effectiveness, use, and utility) according to the CHEERS (Consolidated Health Economic Evaluation Reporting Standards) criteria. Additionally, we conducted a systematic review to identify publications on similar institutions worldwide. The 2 months with the highest local incidence of COVID-19 cases (December 2020 and January 2021) were considered.

RESULTS

During this time, 17.3 requests per day were made to the CCCC regarding admission or transfer of patients with COVID-19. The majority of requests were made by emergency medical services (601/1068, 56.3%), patients with an average age of 71.8 (SD 17.2) years were involved, and for 737 of 1068 cases (69%), SARS-CoV-2 had already been detected by a positive polymerase chain reaction test. In 59.8% (639/1068) of the concerned patients, further treatment by a general practitioner or outpatient presentation in a hospital could be initiated after appropriate advice, 27.2% (291/1068) of patients were admitted to normal wards, and 12.9% (138/1068) were directly transmitted to an intensive care unit. The operating costs of the CCCC amounted to more than €52,000 (US $60,031) per month. Of the 334 patients with detected SARS-CoV-2 who were referred via EMS or outpatient physicians, 302 (90.4%) were triaged and announced in advance by the CCCC. No other published economic analysis of COVID-19 coordination or management institutions at hospitals could be found.

CONCLUSIONS

Despite the high cost of the CCCC, we were able to show that it is a beneficial concept to both the providing hospital and the public health system. However, the most important benefits of the CCCC are that it prevents hospitals from being overrun by patients and that it avoids situations in which physicians must weigh one patient’s life against another’s.
Screening for Post-stroke Depression at Discharge Based on Sociodemographic characteristics: Decision Tree Analysis (Preprint)
Authors: Li Guo , Miao Jinfeng , Pan Chensheng , Xu Yi , Jing Ping , Chen Guohua , Mei Junhua , Sun Wenzhe , Lan Yan , Zhao Xin , Qiu Xiuli , Wang Yanyan , Zhu Zhou , Zhu Suiqiang
Published: September 2021

BACKGROUND

Post-stroke depression (PSD) is the most common and serious psychological disorder following stroke. Developing a screening model for PSD at discharge by combination of multiple factors may provide more information in clinical practice than verifying the independent effects of risk factors.

OBJECTIVE

We aimed to construct two screening tools for PSD in general and young adult stroke patients based on Decision tree (DT) model.

METHODS

A prospective multicenter cohort study was conducted, including stroke patients within 7 days of the onset of symptoms from May 2018 to October 2019. The associated factors were obtained by multivariate-adjusted binary logistic regression with backward elimination. Chi-squared automatic interaction detection (CHAID) method was used as the separation (growing) method in DT.

RESULTS

Significant associated factors with PSD at discharge in general stroke patients included hemorrhagic stroke (OR=2.097; 95% CI, 1.36–3.22; P=0.001), higher educational level (OR=0.633; 95% CI, 0.51–0.79; P< 0.001), without medical insurance (OR=1.277; 95% CI, 1.04–1.56; P=0.019) and history of stroke (OR=0.639; 95% CI, 0.48–0.85; P=0.002). History of hypertension and higher educational level were associated with PSD at discharge in young adults in DT model.

CONCLUSIONS

Several associated factors were found and two decision tree models for PSD at discharge in general and young adult stroke patients were constructed. They could be used as convenient PSD screening tool in clinical practice.
Optimizing and operationalizing engagement with a CBM-I smartphone app:
A case series (Preprint)
Authors: Ramadurai Ramya , Beckham Erin , McHugh R. Kathryn , Björgvinsson Throstur , Beard Courtney
Published: September 2021

BACKGROUND

Engagement with mental health smartphone apps is an understudied, yet critical, construct to understand in the pursuit of more efficacious mental health apps.

OBJECTIVE

In this manuscript we examine engagement as a multidimensional construct, as well as strategies to enhance engagement for a novel app HabitWorks. HabitWorks delivers a personalized cognitive bias modification for interpretation bias intervention and was originally tested in people traversing the challenging transition from acute psychiatric care to daily life.

METHODS

Using a case series we evaluate three domains of engagement- behavioral, cognitive, and affective- for three HabitWorks participants.

RESULTS

This manuscript highlights various strategies to enhance engagement such as human support, personalization, self-monitoring, and privacy and security measures. Our cases illustrate the heterogeneity of engagement patterns and clinical outcomes.

CONCLUSIONS

With rich participant-level data we emphasize the necessity of studying engagement as a multifaceted construct, and the complexity of the relationship between overall engagement and psychosocial outcomes. Our thorough idiographic exploration of engagement with HabitWorks provides an example of how to optimize and operationalize engagement for other mHealth apps.
Percepción sobre la seguridad ciudadana en Sonora
Authors: Tejeda Parra Guadalupe , Palafox Moyers Carlos Germán
Published: September 2021

Objetivo: analizar la percepción que tienen los habitantes de Sonora sobre la seguridad ciudadana en su estado. Metodología: se utiliza el método logit dicotómico. Resultados: se encontró que haber sufrido alguna agresión física o recibido alguna amenaza, así como vivir con una persona con problemas de drogas, afecta de manera negativa la percepción sobre la seguridad ciudadana, mientras que participar en una asociación de vecinos, al igual que la satisfacción que expresan las personas con su colonia, ciudad y país, tiene un efecto positivo en dicha percepción. Limitaciones: puesto que el tema de la seguridad es multifactorial, es muy probable que la propuesta metodológica haya dejado fuera variables significativas durante el análisis. Valor: el enfoque regional aporta utilidad al conocimiento sobre esta problemática actual y permite plantear nuevas propuestas sobre el rumbo u orientación hacia soluciones. Conclusiones: la seguridad ciudadana es un tema que trastoca no sólo un aspecto de la vida de las personas; también incide en su bienestar general. Por lo tanto, requiere abordajes integrales y no unidireccionales.
Manifestaciones psicológicas durante los primeros casos de COVID-19 en los usuarios sonorenses del Centro de Atención Telefónica de Intervención en Crisis
Authors: Salazar Serrano Olimpia , Arreola Romero Fara Gisela , Encinas Norzagaray Lilia
Published: September 2021

Objetivo: analizar las principales manifestaciones psicológicas de los primeros casos de COVID-19 atendidos en el Centro de Atención Telefónica de Intervención en Crisis en el estado de Sonora, México. Metodología: estudio ex post facto retrospectivo con 123 usuarios en quienes se evaluó el efecto de la pandemia en diferentes áreas: afectiva, somática, interpersonal, cognoscitiva y comportamiento. Resultados: la ansiedad fue la razón principal para llamar en el 48% de los casos, lo cual estuvo relacionado con la edad de los usuarios. El análisis de X2 indicó que ésta estuvo asociada con cambios en la alimentación, sentimientos de tristeza, alta preocupación por la enfermedad y cambios en la respiración. Otros motivos para llamar fueron el estrés (23%), la depresión (19%) y el duelo (10%). Limitaciones: la cantidad de usuarios que conforman la muestra y el tipo de estudio reducen la posibilidad de generalizar los resultados. Valor: se analizan los principales efectos en la salud mental debidos a la pandemia de COVID-19 y se proponen recomendaciones para su manejo. Conclusiones: la pandemia de COVID-19 genera problemas de salud mental, como ansiedad en los adultos y depresión en los jóvenes. La atención telefónica de intervención en crisis es una alternativa viable para atender el efecto psicológico en la población que lo requiera.
An Advanced Method for Detection of Botnet Using Intrusion Detection System
Authors: Saji Alan
Published: September 2021

A botnet, especially with remote-controlled bots that offers a platform for many cyber threats. The powerful measure in opposition to that botnet is supplied by IDS (Intrusion get right of entry to gadget). The IDS frequently monitors and identifies the presence of powerful attacks by way of assessing community site visitor’s dangers. The IDS (PI-IDS) check for payload detects energetic tries to test the user's statistics gram protocol (UDP) and transmission manage protocol (TCP) comparisons with acknowledged attacks but the PI-IDS method is destroyed if the package is encrypted. PI-IDS shortages are conquer by using traffic-primarily based IDS (T-IDS), do now not take a look at package load; as a substitute, it exams the packet header to split get entry to, however this manner isn't always appropriate in modern-day global due to the fact network traffic is growing swiftly so looking at the header of every packet isn't always operating nicely and because of this advantage price is also essential. therefore, We endorse a new approach to this paper T-IDS creates an RDPLM (information-readable getting to know model) based totally on the set capabilities, in addition to a feature selection method, simplified sub spacing and multiple randomized meta-mastering techniques .The accuracy of our model is 99.984% and the education time is 21.38 s on a 9aaf3f374c58e8c9dcdd1ebf10256fa5 botnet database. it has been discovered that some mechanical studying fashions resemble a deep neural community, reducing mistakes in pruning the venture of locating a drug in a totally small series, and a random tree.
Review on Vibration Analysis of Cracked Cantilever Beam
Authors: Ansari Mohd Anas
Published: September 2021

Abstract: A unique feature of fiber-reinforced composite materials is that it allows structural tailoring for favorable dynamic performance, due to the directional nature of composite materials. Because of the directed character, material coupling occurs, resulting in coupled vibration modes and complicating dynamic analysis. A transverse triangular force impulse modulated by a harmonic motion excites the beam. For the substance of the beam, the Kelvin–Voigt model is employed. The fractured beam is represented by two sub-beams linked by a massless elastic rotating spring. The beams are designed to function in wet environments, which cause rusting. Corrosion causes cracks to form in beams, altering their inherent frequency and mode shape. The present paper examines the different investigations that have been done to investigate the impact of fracture on the dynamic properties of beams. The researchers provided a comprehensive evaluation of the impact of crack design factors (crack depth, crack location) on cantilever beam transverse and torsional frequencies. It is also given the analytical approach, numerical method, and experimental methods for studying the impact of fracture on vibration characteristics. Keywords: Cantilever Beam, Crack dimensions, Damage, Kelvin–Voigt model.
Rainfall-Runoff Modelling of a River Basin Using HEC HMS: A Review Study
Authors: Shekar Padala Raja
Published: September 2021

Abstract: A hydrological model helps in understanding of the hydrological processes and useful to measure water resources for effective water resources management. Hydrological cycle describes evaporation, condensation, precipitation and collection of earth water and on again. Hydrological models have been used in different watersheds across the world. The runoff estimation process is the most complex in nature that depends on the meteorological data and also on the various watershed physical parameters. To generate runoff data for a particular watershed it is needed to find out various parameters related to precipitation models. The HEC HMS (a Centre for Hydrological Engineering and Hydrological Modelling Systems introduced by the US Army Corps of Engineers) is a popularly used watershed model to simulate rainfall runoff process. The input variables used by hydrological models are rainfall data, runoff data, wind speed, relative humidity, soil type, catchment properties, hydrogeology and other properties. The Hydrological Modeling can also be an event based or may be continuous. This model is used to predict future impacts of the climate changes on the runoff of River basin and it is used to simulate runoff in ungauged watershed. This literature review represents that application of rainfall runoff modelling using HEC HMS is helpful in prediction of flood, water management and socio-economic development as well as food security. Keywords: HEC-HMS, hydrological modeling, rainfall-runoff simulation, soil type.
Disease Prevention through Lifestyle: A Case of the Copper to Zinc Ratio and Insulin Sensitivity
Authors: Nath Purnendu , Patel Sukhpreet
Published: September 2021

Both type 2 diabetes mellitus and a high ratio of copper to zinc are independently associated with comorbidities involving multiple organs. Separately, patients with poor insulin sensitivity are often reported as having high copper and low zinc. This article reports the case of a 46-year-old male patient interested in reversing his insulin resistance and high copper to zinc ratio, therefore reducing his long-term risk of Alzheimer’s disease. Over a period of 16 weeks, through lifestyle changes and controlling for copper in the patient’s food and water supply, the patient’s copper to zinc ratio improved from 1.91 to a healthy level of 0.55 and his HOMA-IR score improved from 2.0 to a nondiabetic level of 1.2.
A Bibliometric Analysis of Global Trends in Vegan-Related Research
Authors: Loh Hong Chuan , Hoo Fan Kee , Kwan Jia Ni , Lim Yi Fang , Looi Irene
Published: September 2021

This study is the first bibliometric analysis of vegan-related research. This article aims to identify and organize fundamental and influential works across several decades in order to gain insight into global trends in vegan-related research. We searched the Scopus database and included all relevant articles published from 1960 (inception) to 2020. We limited our search to English language articles containing the terms “vegan,” “vegans,” or “veganism” in the title or abstract. We included all types of articles that were published in journals. We conducted a bibliometric analysis with the open-source R programming software-based Bibliometrix package. There were a total of 1440 relevant articles published in 664 journals over a span of 60 years. The first article was published in 1962. The average publication rate was 9.68 articles per year. The top journal was Nutrients with total publication of 85 (5.9%) articles and 924 total citations. The United States was the leading country with 471 articles and the University of Oxford was the most prolific institution with 59 articles. There was a total of 4586 authors with an average of 28 citations per article. McCarty from the United States was the leading author. The keyword “vegan” was the most used term with 411 occurrences, widely published in Nutrients by the United States authors. We conclude that the United States is the leading country in the field of vegan-related research and, if the trajectory we noted continues, the global trend in vegan-related research is likely to continue surging.
Aplikasi Pesan Antar Air Mineral Isi Ulang dan Gas Elpiji Berbasis Android
Authors: Adam Stenly Ibrahim
Published: September 2021

Air mineral dalam kemasan galon dan gas elpiji sangat penting bagi masyarakat Indonesia. Masyarakat Indonesia menggunakan air mineral dalam kemasan galon sebagai sumber minuman utama dalam rumah, restoran, ataupun kantoran dan menggunakan gas elpiji sebagai bahan bakar utama dalam memasak. Bahan yang sangat sering digunakan yang sewaktu-waktu akan habis dan harus segera diisi ulang. Masalah seperti tidak memiliki kendaraan, masalah cuaca, atau masalah waktu dapat menyebabkan masyarakat tidak dapat melakukan pengisian ulang secara segera. Berdasarkan masalah yang ada, dibuatkan aplikasi pesan antar air mineral isi ulang dan gas elpiji berbasis android. Pengembangan aplikasi ini dilakukan dengan menggunakan metode SCRUM dan menggunakan framework React Native, PHP sebagai back-end, dan beberapa tools lainnya untuk membantu berjalannya pengembangan aplikasi. Hasil akhir penelitian ini adalah file .apk yang dapat di pasang pada beberapa perangkat smartphone. Aplikasi ini dapat membantu pembeli untuk melakukan pemesanan dari rumah tanpa harus keluar dan pesanan akan diantarkan, juga meningkatkan efisiensi penjual dalam menjual air mineral isi ulang dan gas elpiji
PENENTUAN POLA PENJUALAN KIPAS KAPAL DENGAN MENGGUNAKAN ALGORITM APRIORI
Authors: Lestari Silvia -
Published: September 2021

Penelitian ini dilakukan guna untuk mengetahui pola penjualan kipas kapal pada PT.XYZ berdasarkan hasil penjualan yang dilakukan setiap harinya. Penelitian ini akan menginformasikan kepada perusahaan barang apa saja yang sering terjual secara bersamaan dan membantu perusahaan untuk menyusun strategi dan solusi untuk kipas kapal yang sedikit terjual. Data Mining merupakan proses pencarian data, penggalian informasi serta pengetahuan yang berasal dari data yang besar yang disebut sebagai Knowledge Discovery in Database disingkat KDD. Penggunaan metode data mining sangat banyak di pergunakan untuk menyelesaikan suatu masalah yang dimana diantaranya dengan menerapkan algoritma Apriori yang dapat mempermudah pemilik usaha dalam mendapatkan suatu pola penjualan. Diharapkan dengan menerapkan algoritma apriori dapat mengetahui pola penjualan kipas kapal pada PT. XYZ.