bluuebunny/crossref_metadata_2025 huggingface dataset:
Anxiety, Stress and Depression in COVID-19 Survivors From an Italian Cohort of Hospitalized Patients: Results From a 1-Year Follow-Up
Authors: Gramaglia Carla , Gattoni Eleonora , Gambaro Eleonora , Bellan Mattia , Balbo Piero Emilio , Baricich Alessio , Sainaghi Pier Paolo , Pirisi Mario , Binda Valeria , Feggi Alessandro , Jona Amalia , Marangon Debora , Prosperini Pierluigi , Zeppegno Patrizia
Published: June 2022

Background

Mental health-related symptoms can persist over time beyond the most common respiratory clinical features of COVID-19. A recent meta-analysis underlined that mental health sequalae may be relevant for COVID-19 survivors and reported the following prevalence rates: 20% for post-traumatic stress disorder, 22% for anxiety, 36% for psychological distress, and 21% for depression. In the context of a multi-disciplinary follow-up project, we already investigated the mid-term (4 months) psychiatric outcomes in a sample of COVID-19 survivors. Patients were re-assessed after 1-year since hospital discharge.

Methods

Follow-up conducted after 1 year involved 196 individuals recovered from COVID-19. Patients were assessed with a multi-disciplinary approach; including both a clinical interview performed by an experienced psychiatrist, trained in the use of the Mini-International Neuropsychiatric Interview (MINI) to assess the presence of anxiety, stress, and depressive symptoms and the following self-administered questionnaires: Beck Anxiety Inventory, Beck Depression Inventory-II, Resilience Scale for Adults, Impact of Event Scale, and COVID-19 Peritraumatic Distress Index (CPDI).

Results

Anxiety (p < 0.0001) and depressive (p < 0.0003) symptoms registered at the clinical interview showed a significant improvement from the 4 to 12-months follow-up. Logistic regression model showed that female gender (p = 0.006), arterial hypertension (p = 0.01), obesity (0.04), anxiety (p < 0.0001), and depressive (p = 0.02) symptoms at 4-months follow-up were associated with persistence of anxiety symptoms at 12 months. At logistic regression analysis female gender (p = 0.02) and depressive symptoms at 4-months follow-up (p = 0.01) were associated with depressive symptoms after 12 months.

Conclusion

Severity of the disease in the acute phase, in this study, was not a determining factor in identifying subjects at risk of developing clinically relevant anxiety and depression as a consequence of COVID-19 disease. Findings from the logistic regressions suggest that the factors most affecting depression and anxiety in COVID survivors after 12 months were female gender, the presence of anxiety and depression after 4 months and some physical symptoms, not necessarily COVID-related. Impact of infection and consequent hospitalization for COVID-19 did no longer represent a relevant issue for depressive symptoms, compared to other general factors.
From Underground to Mainstream: Establishing a Medical Lexicon for Psychedelic Therapy
Authors: Beswerchij Andrew , Sisti Dominic
Published: June 2022

We argue that non-stigmatizing and precise terminology grounded in the medical model will advance both the science and public acceptance of psychedelics. Researchers and clinicians should take care to distinguish between medical, recreational, and spiritual uses to set clear boundaries and expectations for patients. Ethically fraught or stigmatizing terms should be replaced with terminology that is medically and scientifically descriptive and accurate. A medicalized linguistic framework around psychedelics will potentially yield benefits and mitigate risks. Replacing colloquial names with scientific names for medicines and therapies may help correct misconceptions about psychedelics commonly held by both professionals and the public. A harmonized medical lexicon will also provide a common language for important instances of communication—such as the informed consent process—between professionals and participants. Our recommendations draw upon communications research in addiction medicine and aim to encourage the development, acceptance, and implementation of non-stigmatizing terminology in psychedelic research and treatment.
The Role of the Maternal and Child Health Handbook in Developmental Surveillance: The Exploration of Milestone Attainment Trajectories
Authors: Hirota Tomoya , Nishimura Tomoko , Mikami Misaki , Saito Manabu , Nakamura Kazuhiko
Published: June 2022

Despite the pivotal role of developmental surveillance in pediatric practice for the early detection of neurodevelopmental disorders (NDDs), there are several barriers, including scarcity of time and staff availability, to its implementation. Additionally, inadequate parental knowledge on what to expect about their child's development contributes to potential delays in the early identification of NDDs. Home-based records (HBRs) are widely used in both high-income and low- and middle-income countries, allowing caregivers to prospectively chart the child's development, including milestone attainment, and thus can be a useful tool for developmental surveillance. Therefore, we analyzed data on milestone attainment from birth to 5 years of age obtained through the home-based records (the Maternal Child Health Handbook: MCHH) in 720 children who attended the Hirosaki Five-year-old children Developmental Health Check-up Study in Hirosaki, Japan to identify trajectory patterns of milestone attainment. Parallel process latent class growth analysis on four milestone domains (motor, social interaction, communication, and self-care) revealed three different trajectories (Class 1: “Consistent milestone attainment” group; 42%, Class 2: “subtle initial delay and catch-up” group; 45%, Class 3: “Consistent failure to attain expected milestones” group; 13%). In Class 3, 90% of children were diagnosed with at least one NDDs at age 5 and approximately 65% of children had autism spectrum disorder and/or intellectual disability, the rate of which was higher than that in the other two classes. Boys and preterm-born children were more likely to be assigned to classes with less favorable trajectories of milestone attainment. Although the use of the MCHH alone does not substitute diagnostic evaluation for NDDs, our study findings suggest the potential utility of the MCHH as a tool to educate parents on what longitudinal patterns of milestone attainment are concerning and require prompt visits to professionals.
“Whatever is in the ARVs, is Also in the PrEP” Challenges Associated With Oral Pre-exposure Prophylaxis Use Among Female Sex Workers in South Africa
Authors: Makhakhe Nosipho Faith , Sliep Yvonne , Meyer-Weitz Anna
Published: June 2022

Background

The national policy on oral pre-exposure prophylaxis (PrEP) for female sex workers (FSWs) was instituted in South Africa in 2016. FSWs were targeted for PrEP due to a Human immunodeficiency virus (HIV) prevalence of 57.7%, which is higher than the prevalence of 19.07% among the general population. Research from demonstration studies has shown that uptake of PrEP has been slower than anticipated, and the purpose of this study was to explore barriers to the uptake of PrEP among FSWs.

Methods

An in-depth qualitative study was conducted with 39 participants, 30 individual participants, and nine focus group participants. Eleven participants consisted of peer educators and two health workers from a sex work and PrEP distribution organization, the rest of the participants (1) were FSWs.

Results

The majority of participants mentioned that little distinction was made between PrEP and antiretrovirals (ARVs) taken by FSWs living with HIV. PrEP was not distributed through public health care facilities, and health workers unknowingly labeled PrEP as ARVs. Consequently, health workers seen as experts created suspicion and contributed to the mistrust of PrEP among FSWs due to mixed messages, and equating PrEP to ARVs reduced uptake. Furthermore, failure to make a clear distinction between oral PrEP and ARVs resulted in accusations of lying, denialism, and deception leveled at users of PrEP by FSWs using ARVs, and sometimes by clients and intimate partners. FSWs using PrEP reported feeling stigmatized and thrust into interpersonal conflict with their peers after choosing PrEP, leading to broken relationships, and some resorting to taking PrEP privately or discontinuing PrEP altogether.

Conclusion

Pre-exposure prophylaxis as an ARV targeted for the prevention of HIV among high-risk groups was found to be stigmatizing. The distinctive use of PrEP and ARVs should be correctly explained to users to minimize confusion, enable differentiation and reduce interpersonal conflict. Cohesion among sex work organizations and public health care facilities is needed to disseminate the correct knowledge on PrEP. A non-stigmatizing approach to the distribution of PrEP may serve to increase uptake and adherence.
Analysis of Prognostic Factors of Rectal Cancer and Construction of a Prognostic Prediction Model Based on Bayesian Network
Authors: Li Ruikai , Zhang Chi , Du Kunli , Dan Hanjun , Ding Ruxin , Cai Zhiqiang , Duan Lili , Xie Zhenyu , Zheng Gaozan , Wu Hongze , Ren Guangming , Dou Xinyu , Feng Fan , Zheng Jianyong
Published: June 2022

Background

The existing prognostic models of rectal cancer after radical resection ignored the relationships among prognostic factors and their mutual effects on prognosis. Thus, a new modeling method is required to remedy this defect. The present study aimed to construct a new prognostic prediction model based on the Bayesian network (BN), a machine learning tool for data mining, clinical decision-making, and prognostic prediction.

Methods

From January 2015 to December 2017, the clinical data of 705 patients with rectal cancer who underwent radical resection were analyzed. The entire cohort was divided into training and testing datasets. A new prognostic prediction model based on BN was constructed and compared with a nomogram.

Results

A univariate analysis showed that age, Carcinoembryonic antigen (CEA), Carbohydrate antigen19-9 (CA19-9), Carbohydrate antigen 125 (CA125), preoperative chemotherapy, macropathology type, tumor size, differentiation status, T stage, N stage, vascular invasion, KRAS mutation, and postoperative chemotherapy were associated with overall survival (OS) of the training dataset. Based on the above-mentioned variables, a 3-year OS prognostic prediction BN model of the training dataset was constructed using the Tree Augmented Naïve Bayes method. In addition, age, CEA, CA19-9, CA125, differentiation status, T stage, N stage, KRAS mutation, and postoperative chemotherapy were identified as independent prognostic factors of the training dataset through multivariate Cox regression and were used to construct a nomogram. Then, based on the testing dataset, the two models were evaluated using the receiver operating characteristic (ROC) curve. The results showed that the area under the curve (AUC) of ROC of the BN model and nomogram was 80.11 and 74.23%, respectively.

Conclusion

The present study established a BN model for prognostic prediction of rectal cancer for the first time, which was demonstrated to be more accurate than a nomogram.
Awareness and Use of HIV Self-Testing Among Men Who Have Sex With Men Remains Low in Spain 2 Years After Its Authorization
Authors: Guerras Juan-Miguel , Hoyos Juan , de la Fuente Luis , Donat Marta , Pulido José , Sordo Luis , García de Olalla Patricia , Belza María-José
Published: June 2022

Objectives

HIV self-testing has been available in Spain since 2017 as a diagnostic tool to promote earlier diagnosis. We aimed to assess awareness and previous use of HIV self-testing in a sample of men who have sex with men (MSM) recruited online more than 2 years after its legal authorization in Spain.

Methods

We analyzed 5,492 MSM recruited between May and July 2020 in gay dating apps/websites and other social networks. We estimated the proportion of participants who were aware of the existence of HIV self-testing and the proportion who reported previous use. To identify factors associated with both outcomes we built two Poisson regression models. Among those who reported previous use we described several aspects related to their last self-test.

Results

Awareness of HIV self-test was reported by 29.7% and its previous use by 5% of participants. Awareness was independently associated with recruitment in gay dating apps/websites, being ≥40 years old, born in Spain-other European countries, having higher educational level, living in medium-small municipalities and living sex life openly. Independent associations were also found with having received a sexually transmitted infection diagnosis (STI) or an HIV negative test in the last 12 months, and being HIV positive. Use was significantly higher among participants who were paid for sex or diagnosed with an STI in the last 12 months and who received their last HIV test in the preceding year. Self-testing occurred recently, with kits acquired at pharmacies and carried out alone.

Conclusion

Awareness and use probably have not increased sufficiently in order to make a relevant impact to the promotion of early HIV diagnosis. Additional efforts, mainly focused on less favored MSM, should be made to take better advantage of the possibilities offered by this testing option.
FLED-Block: Federated Learning Ensembled Deep Learning Blockchain Model for COVID-19 Prediction
Authors: Durga R. , Poovammal E.
Published: June 2022

With the SARS-CoV-2's exponential growth, intelligent and constructive practice is required to diagnose the COVID-19. The rapid spread of the virus and the shortage of reliable testing models are considered major issues in detecting COVID-19. This problem remains the peak burden for clinicians. With the advent of artificial intelligence (AI) in image processing, the burden of diagnosing the COVID-19 cases has been reduced to acceptable thresholds. But traditional AI techniques often require centralized data storage and training for the predictive model development which increases the computational complexity. The real-world challenge is to exchange data globally across hospitals while also taking into account of the organizations' privacy concerns. Collaborative model development and privacy protection are critical considerations while training a global deep learning model. To address these challenges, this paper proposes a novel framework based on blockchain and the federated learning model. The federated learning model takes care of reduced complexity, and blockchain helps in distributed data with privacy maintained. More precisely, the proposed federated learning ensembled deep five learning blockchain model (FLED-Block) framework collects the data from the different medical healthcare centers, develops the model with the hybrid capsule learning network, and performs the prediction accurately, while preserving the privacy and shares among authorized persons. Extensive experimentation has been carried out using the lung CT images and compared the performance of the proposed model with the existing VGG-16 and 19, Alexnets, Resnets-50 and 100, Inception V3, Densenets-121, 119, and 150, Mobilenets, SegCaps in terms of accuracy (98.2%), precision (97.3%), recall (96.5%), specificity (33.5%), and F1-score (97%) in predicting the COVID-19 with effectively preserving the privacy of the data among the heterogeneous users.
Associations of Musical Activities and Positive Affect With Fear of Childbirth: A Structural Equation Modeling Approach
Authors: Liu Shidi , Jin Yi , Li Hongmei , Zeng Tingting , Zhou Ge , Yu Lili , Fan Yao , Lei Xun
Published: June 2022

Background

Fear of childbirth is a prevalent issue among women, with a wide range of interventions to dispel it. Here we explored a novel and beneficial intervention and one possible influence mechanism of it.

Methods

The cross-sectional study recruited 1,053 pregnant women from one tertiary-grade A class hospital between March to August 2021. The questionnaire included demographic characteristics, a self-made musical activities questionnaire, the Positive affect subscale, and the Childbirth Attitudes Questionnaire. We parceled the eight musical activities into three items by item parceling methodology. The associations of musical activities and positive affect with fear of childbirth were evaluated by a structural equation modeling approach.

Results

Our analyses demonstrated the effectiveness of musical activities, which was notably correlated with the increase in positive affect (β = 0.309, P < 0.01). On the contrary, positive affect predicted a decrease in fear of childbirth (β = −0.085, P = 0.019). Additionally, positive affect mediated the effect of musical activities on fear of childbirth (β = −0.026, P = 0.030). However, the direct effect of musical activities on fear of childbirth was not found (β = 0.029, P = 0.514).

Conclusions

Relying on musical activities alone may not be adequate to alleviate the fear of childbirth, and positive affect played a pivotal role between musical activities and fear of childbirth. The results showed that musical activities would be an effective non-pharmaceutical way to alleviate the fear of childbirth and positive affect can not be ignorant in future childbirth fear reduction programs.
A Chess and Card Room-Induced COVID-19 Outbreak and Its Agent-Based Simulation in Yangzhou, China
Authors: Shen Shijing , Li Wenning , Wei Hua , Zhao Lin , Ye Runze , Ma Ke , Xiao Peng , Jia Na , Zhou Jieping , Cui Xiaoming , Gong Jianhua , Cao Wuchun
Published: June 2022

Objective

To evaluate epidemiological characteristics of the COVID-19 outbreak that resurged in Yangzhou and to simulate the impact of different control measures at different regional scales.

Methods

We collected personal information from 570 laboratory-confirmed cases in Yangzhou from 28 July to 26 August 2021, and built a modified susceptible-exposed-infected-removed (SEIR) model and an agent-based model.

Results

The SEIR model showed that for passengers from medium-high risk areas, pre-travel nucleic acid testing within 3 days could limit the total number of infected people in Yangzhou to 50; among elderly persons, a 60% increase in vaccination rates could reduce the estimated infections by 253. The agent-based model showed that when the population density of the chess and card room dropped by 40%, the number of infected people would decrease by 54 within 7 days. A ventilation increase in the chess and card room from 25 to 50% could reduce the total number of infections by 33 within 7 days; increasing the ventilation from 25 to 75% could reduce the total number of infections by 63 within 7 days.

Conclusions

The SEIR model and agent-based model were used to simulate the impact of different control measures at different regional scales successfully. It is possible to provide references for epidemic prevention and control work.
Ditching the Driving: A Cross-Sectional Study on the Determinants of Remote Work From Home for Sign Language Interpreters
Authors: Roman Gretchen , Samar Vincent , Ossip Deborah , McKee Michael , Barnett Steven , Yousefi-Nooraie Reza
Published: June 2022

Background

The coronavirus disease 2019 (COVID-19) pandemic dramatically impacted the working conditions for sign language interpreters, shifting the provision of interpreting services from onsite to remote. The goal of this cross-sectional study was to examine the perceptions of determinants of remote interpreting implementation from home by sign language interpreters during the pandemic. We hypothesized that interpreters working across the primary settings of staff (agency, government, business, or hospital employees), educational (K-12 or postsecondary), community/freelance (independent contractor), video remote (the two-way connection between onsite participants and remote interpreter), and video relay (three-way telecommunication) would present with differing experiences of the implementation process.

Methods

The Determinants of Implementation Behavior Questionnaire was adapted for sign language interpreters (DIBQ-SLI) and administered to certified interpreters working remotely at least 10 h per week. The DIBQ-SLI included eight constructs (knowledge, skills, self-efficacy, perceived behavioral control, innovation characteristics, organizational resources and support, innovation strategies, and social support) and 30 items. Parametric statistics assessed differences in interpreters' perceptions across settings. Principal component analysis was conducted for data reduction and affirmation of the most critical constructs and items.

Results

One hundred and six interpreters (37 video relay, 27 video remote, 18 educational, 11 community/freelance, 11 staff interpreters, and two from “other” settings) completed the DIBQ-SLI. The video relay and staff interpreters consistently demonstrated the most favorable and the educational interpreters demonstrated the least favorable perceptions. Of the total variance, 58.8% of interpreters' perceptions was explained by organizational (41%), individual (10.7%), and social (7.1%) dimensions. There were significant differences across settings for the organizational and individual principal components; however, no differences were detected for the social principal component.

Conclusions

An administrative infrastructure devoted to ensuring that interpreters receive sufficient managerial support, training, materials and resources, experience with remote interpreting before having to commit, and insights based on the results of their remote work (organizational principal component) may be necessary for improving perceptions. Remote interpreting is expected to continue after the pandemic ends; thus, settings with the least favorable ratings across behavior constructs may borrow strategies from settings with the most favorable ratings to help promote perceptions of the contextual determinants of future remote interpreting implementation.
GradTac: Spatio-Temporal Gradient Based Tactile Sensing
Authors: Ganguly Kanishka , Mantripragada Pavan , Parameshwara Chethan M. , Fermüller Cornelia , Sanket Nitin J. , Aloimonos Yiannis
Published: June 2022

Tactile sensing for robotics is achieved through a variety of mechanisms, including magnetic, optical-tactile, and conductive fluid. Currently, the fluid-based sensors have struck the right balance of anthropomorphic sizes and shapes and accuracy of tactile response measurement. However, this design is plagued by a low Signal to Noise Ratio (SNR) due to the fluid based sensing mechanism “damping” the measurement values that are hard to model. To this end, we present a spatio-temporal gradient representation on the data obtained from fluid-based tactile sensors, which is inspired from neuromorphic principles of event based sensing. We present a novel algorithm (GradTac) that converts discrete data points from spatial tactile sensors into spatio-temporal surfaces and tracks tactile contours across these surfaces. Processing the tactile data using the proposed spatio-temporal domain is robust, makes it less susceptible to the inherent noise from the fluid based sensors, and allows accurate tracking of regions of touch as compared to using the raw data. We successfully evaluate and demonstrate the efficacy of GradTac on many real-world experiments performed using the Shadow Dexterous Hand, equipped with the BioTac SP sensors. Specifically, we use it for tracking tactile input across the sensor’s surface, measuring relative forces, detecting linear and rotational slip, and for edge tracking. We also release an accompanying task-agnostic dataset for the BioTac SP, which we hope will provide a resource to compare and quantify various novel approaches, and motivate further research.
Design of Suction-Type Tactile Presentation Mechanism to Be Embedded in HMD
Authors: Kameoka Takayuki , Kajimoto Hiroyuki
Published: June 2022

To enrich the virtual reality experience and improve realism, many studies have proposed embedding tactile devices into head-mounted displays (HMDs). However, although thermal and vibrotactile cues have become commonplace, presentation of the constant pressure necessary for softness expression remains relatively rare. In this study, we propose a suction-type tactile presentation method that addresses this issue. Through subjective evaluation and simulation using the finite element method, we verified that the proposed suction-type tactile presentation method is suitable for use with HMDs and that by increasing the number and density of the suction holes, a stronger tactile sensation can be created.
Investigation of the Differences in Onset Times for Magnetically Conjugate Magnetometers
Authors: Weygand James M. , Zesta Eftyhia , Kadokura Akira , Oliveira Denny M.
Published: June 2022

We have identified nearly 1,000 onsets using two pairs of hemispheric conjugate ground magnetometers where the onset is defined based on a sharp decline in the H component of the magnetic field at a ground magnetometer station. Specifically, we used the pair of stations at West Antarctica Ice Sheet Divide and Sanikiluaq, Canada; Syowa, Antarctica; and Tjörnes, Iceland. While the onset time in the southern hemisphere is identified by eye, the value of the differences in the onset time between the northern and southern hemispheres is determined using cross covariance. We observe differences in the onset time between the two hemispheres as large as several minutes, but 53% of the events show no difference in the onset time. Using statistics, we show that the largest differences in onset time are associated with the summer and winter seasons and when the IMF By value is limited between 0.5 and 2.5 nT, which is the IMF By range when the local time difference between the northern and southern hemisphere foot points is the smallest. The results indicate that ionospheric conductivity associated with solar illumination plays a role in the differences in onset time between the northern and southern hemisphere when only non-zero differences in onset time are considered. We validate these results with two other less robust methods. The median value of the differences in onset time indicates that the onsets occur ∼23 s earlier in the winter hemisphere than that in the summer hemisphere. It has been reported that the time difference between the start of the substorm in the magnetotail and the observed auroral break up (substorm auroral onset) in the ionosphere is 30 s to 2 min in the current disruption model and the near earth neutral line model, respectively. Our results may be of interest to those two models.
Plasma Imaging, LOcal Measurement, and Tomographic Experiment (PILOT): A Mission Concept for Transformational Multi-Scale Observations of Mass and Energy Flow Dynamics in Earth’s Magnetosphere
Authors: Malaspina David , Ergun Robert , Goldstein Jerry , Spittler Constance , Andersson Laila , Borovsky Joseph , Chu Xiangning , De Moudt Lauren , Gallagher Dennis , Jordanova Vania , Lejosne Solène , Link Jason , Maruyama Naomi , Parker Jeffery , Thaller Scott , Unruh Bryce , Walsh Brian
Published: June 2022

We currently do not understand the fundamental physical processes that govern mass and energy flow through the Earth’s magnetosphere. Knowledge of these processes is critical to understanding the mass loss rate of Earth’s atmosphere, as well as for determining the role that a planetary magnetic field plays in atmospheric retention, and therefore habitability, for Earth-like planets beyond the solar system. Mass and energy flow processes are challenging to determine at Earth in part because Earth’s planetary magnetic field creates a complex “system of systems” composed of interdependent plasma populations and overlapping spatial regions that perpetually exchange mass and energy across a broad range of temporal and spatial scales. Further, the primary mass carrier in the magnetosphere is cold plasma (as cold as ∼0.1 eV), which is invisible to many space-borne instruments that operate in the inner magnetosphere. The Plasma Imaging LOcal and Tomographic experiment (PILOT) mission concept, described here, provides the transformational multi-scale observations required to answer fundamental open questions about mass and energy flow dynamics in the Earth’s magnetosphere. PILOT uses a constellation of spacecraft to make radio tomographic, remote sensing, and in-situ measurements simultaneously, fully capturing cold plasma mass dynamics and its impact on magnetospheric systems over an unprecedented range of spatial and temporal scales. This article details the scientific motivation for the PILOT mission concept as well as a potential mission implementation.
Metagenomics: A Tool for Exploring Key Microbiome With the Potentials for Improving Sustainable Agriculture
Authors: Nwachukwu Blessing Chidinma , Babalola Olubukola Oluranti
Published: June 2022

Microorganisms are immense in nature and exist in every imaginable ecological niche, performing a wide range of metabolic processes. Unfortunately, using traditional microbiological methods, most microorganisms remain unculturable. The emergence of metagenomics has resolved the challenge of capturing the entire microbial community in an environmental sample by enabling the analysis of whole genomes without requiring culturing. Metagenomics as a non-culture approach encompasses a greater amount of genetic information than traditional approaches. The plant root-associated microbial community is essential for plant growth and development, hence the interactions between microorganisms, soil, and plants is essential to understand and improve crop yields in rural and urban agriculture. Although some of these microorganisms are currently unculturable in the laboratory, metagenomic techniques may nevertheless be used to identify the microorganisms and their functional traits. A detailed understanding of these organisms and their interactions should facilitate an improvement of plant growth and sustainable crop production in soil and soilless agriculture. Therefore, the objective of this review is to provide insights into metagenomic techniques to study plant root-associated microbiota and microbial ecology. In addition, the different DNA-based techniques and their role in elaborating plant microbiomes are discussed. As an understanding of these microorganisms and their biotechnological potentials are unlocked through metagenomics, they can be used to develop new, useful and unique bio-fertilizers and bio-pesticides that are not harmful to the environment.
Correlation Between Poor Defecation Habits and Postoperative Hemorrhoid Recurrence
Authors: Li Qing , Ghoorun Roshan Ara , Li Li , Zhang Heng , Zhang Dan , Qian Haihua , Ren Dong-Lin , Su Dan
Published: June 2022

Background

The relationship between hemorrhoid recurrence and poor defecation habits is poorly understood. This study aimed to analyze the effects of poor defecation habits on postoperative hemorrhoid recurrence.

Materials and Method

We performed a retrospective study on 1,162 consecutive patients who underwent a surgical procedure for hemorrhoids at the Sixth Affiliated Hospital of Sun Yat-Sen University from December 2016 to May 2020. All patients were followed for 12 months post-operatively. Patients were monitored for disease recurrence. Patient defecation habits were assessed using an obstructive defecation syndrome (ODS) score.

Results

Patients with a score of 0–4 had a mild defecation disorder, 5–8 a moderate defecation disorder, and 9 or more ODS. Of the 1,162 patients, 1,144 (98.45%) had a mild defecation disorder, 13 (1.12%) had a moderate defecation disorder, and 9 (0.43%) had ODS. Older patients were significantly more likely to have worse defecation habits (P < 0.001). A higher ODS score correlated with a higher maximum anal squeeze pressure (P = 0.07) and a more severe inability for the anus to relax during simulated evacuation (P = 0.002). The maximum rectum threshold was also found to be the highest in ODS patients (P = 0.010). The proportion of Procedure for prolapsing hemorrhoids (PPH) was the highest in the moderate defecation disorder group (53.85), followed by the ODS group (40.00) and the mild defecation disorder group (P = 0.023). Recurrence occurred in 5.51% of patients in the mild defecation disorder group, 38.46% of the moderate defecation disorder group, and 60% of the ODS group (P < 0.001). Multivariate analysis confirmed a higher ODS score (P < 0.001) was an independent predictor of recurrence. Furthermore, patients who occasionally exercised (P = 0.01) and patients who exercised regularly (P = 0.021) were less likely to have a recurrence.

Conclusion

Patients with unresolved defecation disorders are more likely to have their hemorrhoids recur and are unlikely to be satisfied with surgical management.
A Review: Plant Carbohydrate Types—The Potential Impact on Ruminant Methane Emissions
Authors: Sun Xuezhao , Cheng Long , Jonker Arjan , Munidasa Sineka , Pacheco David
Published: June 2022

Carbohydrates are the major component of most ruminant feeds. The digestion of carbohydrates in the rumen provides energy to the ruminants but also contributes to enteric methane (CH4) emissions. Fresh forage is the main feed for grazing ruminants in temperate regions. Therefore, this review explored how dietary carbohydrate type and digestion affect ruminant CH4 emissions, with a focus on fresh forage grown in temperate regions. Carbohydrates include monosaccharides, disaccharides, oligosaccharides, and polysaccharides. Rhamnose is the only monosaccharide that results in low CH4 emissions. However, rhamnose is a minor component in most plants. Among polysaccharides, pectic polysaccharides lead to greater CH4 production due to the conversion of methyl groups to methanol and finally to CH4. Thus, the degree of methyl esterification of pectic polysaccharides is an important structural characteristic to better understand CH4 emissions. Apart from pectic polysaccharides, the chemical structure of other polysaccharides per se does not seem to affect CH4 formation. However, rumen physiological parameters and fermentation types resulting from digestion in the rumen of polysaccharides differing in the rate and extent of degradation do affect CH4 emissions. For example, low rumen pH resulting from the rapid degradation of readily fermentable carbohydrates decreases and inhibits the activities of methanogens and further reduces CH4 emissions. When a large quantity of starch is supplemented or the rate of starch degradation is low, some starch may escape from the rumen and the escaped starch will not yield CH4. Similar bypass from rumen digestion applies to other polysaccharides and needs to be quantified to facilitate the interpretation of animal experiments in which CH4 emissions are measured. Rumen bypass carbohydrates may occur in ruminants fed fresh forage, especially when the passage rate is high, which could be a result of high feed intake or high water intake. The type of carbohydrates affects the concentration of dissolved hydrogen, which consequently alters fermentation pathways and finally results in differences in CH4 emissions. We recommend that the degree of methyl esterification of pectic polysaccharides is needed for pectin-rich forage. The fermentation type of carbohydrates and rumen bypass carbohydrates should be determined in the assessment of mitigation potential.
Pendulum Search Algorithm: An Optimization Algorithm Based on Simple Harmonic Motion and Its Application for a Vaccine Distribution Problem
Authors: Ab. Aziz Nor Azlina , Ab. Aziz Kamarulzaman
Published: June 2022

The harmonic motion of pendulum swinging centered at a pivot point is mimicked in this work. The harmonic motion’s amplitude at both side of the pivot are equal, damped, and decreased with time. This behavior is mimicked by the agents of the pendulum search algorithm (PSA) to move and look for an optimization solution within a search area. The high amplitude at the beginning encourages exploration and expands the search area while the small amplitude towards the end encourages fine-tuning and exploitation. PSA is applied for a vaccine distribution problem. The extended SEIR model of Hong Kong’s 2009 H1N1 influenza epidemic is adopted here. The results show that PSA is able to generate a good solution that is able to minimize the total infection better than several other methods. PSA is also tested using 13 multimodal functions from the CEC2014 benchmark function. To optimize multimodal functions, an algorithm must be able to avoid premature convergence and escape from local optima traps. Hence, the functions are chosen to validate the algorithm as a robust metaheuristic optimizer. PSA is found to be able to provide low error values. PSA is then benchmarked with the state-of-the-art particle swarm optimization (PSO) and sine cosine algorithm (SCA). PSA is better than PSO and SCA in a greater number of test functions; these positive results show the potential of PSA.
Biorobotics: An Overview of Recent Innovations in Artificial Muscles
Authors: Craddock Matthew , Augustine Emmanuel , Konerman Sam , Shin Minchul
Published: June 2022

In this overview of recent developments in the field of biorobotics we cover the developments in materials such as the use of polyester fabric being used as artificial skin and the start of whole new ways to actuate artificial muscles as a whole. In this, we discuss all of the relevant innovations from the fields of nano and microtechnology, as well as in the field of soft robotics to summarize what has been over the last 4 years and what could be improved for artificial muscles in the future. The goal of this paper will be to gain a better understanding of where the current field of biorobotics is at and what its current trends in manufacturing and its techniques are within the last several years.
Multiphysical Simulation, Model Order Reduction (ECSW) and Experimental Validation of an Active Magnetic Bearing
Authors: Maierhofer Johannes , Dietz Christoph , Zobel Oliver M. , Rixen Daniel J.
Published: June 2022

Model order reduction techniques can be used during the operation phase of a product to generate virtual sensor outputs and enable diagnosis and monitoring systems. This contribution shows an approach with the example of an active magnetic bearing. The reduced model is used to calculate a non-measurable physical quantity (here force) and uses a measurable quantity (temperature) to check for plausibility. As a test case, the dynamic force response under the influence of varying eddy currents due to temperature changes is investigated. Using a special test rig with a 6-dof force measurement platform, the effects are shown and the simulation results are validated.
Investigating Patterns of Research Collaboration and Citations in Science and Technology: A Case of Chiang Mai University
Authors: Paphawasit Boontarika , Wudhikarn Ratapol
Published: June 2022

This study investigates 3883 articles published by researchers affiliated with Chiang Mai University in science and technology from January 2010 to December 2019 to test whether research team characteristics and collaboration patterns can determine a citation rate. Citations were retrieved from the Scopus database and compared with their (1) number of authors, (2) type of publication, (3) gender of authors, (4) SJR values, (5) country of international collaborators, (6) number of affiliated institutions, and (7) international diversity index. The findings were based on quantile regressions and indicated that the number of authors strongly influenced citations, which increases the likelihood of being cited. The citation advantage of being a foreign-first author only existed at the 0.25th quantile; however, the evidence of foreign-first author citation advantages or disadvantages for the moderate and very productive publications was not found. A significantly positive effect of SJR value on citations was found while being a female first author negatively impacted the citation rate. These findings can be used in the planning and managing process of producing scientific and technological research to improve the research quality, boost the research impact, and increase opportunities for research results to be utilized.
Numerical Investigation on the Heat Transfer of n-Decane in a Horizontal Channel with Axially Nonuniform Heat Flux under Supercritical Pressure
Authors: Zhang Jin , Zhou Qilin , Zhao Xudong , Jiang Yuguang , Fan Wei
Published: June 2022

Regenerative cooling is considered promising in the thermal protection of hypersonic propulsion devices such as SCRamjet. However, the heat transfer deterioration (HTD) of hydrocarbon fuel is a severe threat to the thermal structure safety, especially under axially nonuniform heat flux caused by the thermal load difference in different components. In this work, the heat transfer of trans-critical n-decane in a mini-horizontal channel is numerically investigated. The influences of the axially nonuniform heat flux on the heat transfer is focused on. Two types of HTD are recognized and analyzed. The first type of HTD is induced by the near-wall flow acceleration and the local thickening of the viscous sublayer. The second type of HTD is closely related to the expansion of the low thermal conductivity λ and specific heat cp region, which is seriously worsened under axially nonuniform heat flux, especially when the heat flux peak locates where Tw ≥ Tpc. The minimum HTC deteriorates by 40.80% and the Tw_max increases from 857 K to 1071 K by 27.5%. The maximum fluctuation in pressure drop is 6.8% in the variation in heat flux distribution with Φ = 2. This work is expected to offer a reference to the proper match of fuel temperature distribution and the engine heat flux boundary in SCRamjet cooling system design.
Simulation Parameter Calibration and Experimental Study of a Discrete Element Model of Cotton Precision Seed Metering
Authors: Bai Shenghe , Yuan Yanwei , Niu Kang , Zhou Liming , Zhao Bo , Wei Liguo , Liu Lijing , Xiong Shi , Shi Zenglu , Ma Yihua , Zheng Yuankun , Xing Gaoyong
Published: June 2022

To improve the accuracy of the parameters used in the discrete element simulation test, this study calibrated the simulation parameters of cotton seeds by combining a physical test and simulation test. Based on the intrinsic parameters used for the physical test of cotton seed, according to the freefall collision method, inclined plane sliding method, and inclined plane rolling method, the contact parameters of cotton seeds and cotton seeds, stainless steel, and nylon were measured, respectively. The physical test of the accumulation angle and angle of repose of the cotton seeds was conducted. It was obtained to process the image of the seed pile with Matrix Laboratory software. The Plackett–Burman test was used to screen the significance of the simulation parameters. The optimal value range of the significant parameters was determined according to the steepest climbing test. The second-order regression model of the significant parameters, the stacking-angle error, and the angle-of-repose error were obtained according to the Box–Behnken design test. Taking the minimum stacking-angle error and angle-of-repose error as the optimization target values, the following optimal parameter combination was obtained: the interspecies collision recovery coefficient was 0.413, the interspecies static friction coefficient was 0.695, and the interspecies rolling friction coefficient was 0.214. Three repetitive simulation experiments were conducted to prove the reliability of the calibration results. The research results can be used for discrete element simulation experiments for cotton precision seed metering.
Nutrient Utilization and Double Cropping Rice Yield Response to Dense Planting with a Decreased Nitrogen Rate in Two Different Ecological Regions of South China
Authors: Luo Kang , Zeng Yongjun , Wu Ziming , Guo Lin , Xie Xiaobing , Shi Qinghua , Pan Xiaohua
Published: June 2022

An increased planting density and decreased nitrogen (N) rate combination may obtain a stable yield and enhance N utilization. However, the effects of an increased planting density and decreased N rate combination on the yield and nutrient utilization in different ecological regions are unclear. The aim of this research was to assess the interactive impacts of the N rates and planting densities on double cropping rice yields and nutrient utilization in two ecological regions in field experiments during 2018 and 2019. The results showed that, at Shanggao, increased planting densities of 67% and 200% compensated for the biomass, nutrient uptake and yield losses from N application reductions of 20% and 27% and increased the nutrient utilization of the early and late seasons. However, at Xingguo, compared with the N2D1 treatment (165 kg ha−1 with 57 plants per m2), the late rice yield under the N1D2 treatment (120 kg ha−1 with 114 plants per m2) decreased by 6.71% and 5.02% in 2018 and 2019, respectively. The photosynthetic rate and nutrient uptake were likely related to the positive interaction on the double cropping rice yield in the two ecological regions. Our results indicate that dense planting is a feasible cultivation strategy to decrease N inputs for double cropping rice, but the low soil nutrient supplies negatively affect stable yields in different ecological regions.
Essential Oils in Broiler Chicken Production, Immunity and Meat Quality: Review of Thymus vulgaris, Origanum vulgare, and Rosmarinus officinalis
Authors: Puvača Nikola , Tufarelli Vincenzo , Giannenas Ilias
Published: June 2022

The use of essential oils in animal nutrition has attracted attention as a potential substitute for antibiotic growth promoters in the past twenty-five years. This paper will review the current scientific evidence on the usage of essential oils from Lamiaceae family members such as Thymus vulgaris (thyme), Origanum vulgare (oregano), and Rosmarinus officinalis (rosemary) in broiler nutrition in terms of production results, immunity, and meat quality properties. Essential oils are effective in broiler nutrition when incorporated into the diet on a variety of levels, such as dietary composition, level of feed inclusion, and bird genetics. Moreover, the efficacy of essential oils is influenced by many factors, such as the composition of the oil. Due to big differences in the composition and sources of essential oils, comparing different studies using them can be challenging. Therefore, biological effects may differ significantly. Despite this, a great deal of research supports essential oils’ potential use as natural, antibiotic-free growth promoters for broilers. Growth promotion mechanisms are still not clearly understood as there is limited information on essential oils’ effect on nutrient digestibility, gut function, and the immune system. There is no question that essential oil consumption can reduce pathogen growth in the gut, but their effects on the intricate gut ecosystem as yet remain unclear. This review concludes with further recommendations regarding the application of dietary essential oils in broiler nutrition.