bluuebunny/crossref_metadata_2025 huggingface dataset:
Mandatory COVID-19 Vaccination for Healthcare Professionals and Its Association With General Vaccination Knowledge: A Nationwide Cross-Sectional Survey in Cyprus
Authors: Giannakou Konstantinos , Kyprianidou Maria , Christofi Margarita , Kalatzis Anastasios , Fakonti Georgia
Published: May 2022

COVID-19 compulsory vaccination for healthcare professionals (HCPs) is a sensitive and controversial topic, with different support rates worldwide. Previous studies in Cyprus identified a low COVID-19 vaccination acceptance among HCPs, however, no studies have investigated their perceptions toward mandatory COVID-19 vaccination. This is the first study to investigate the attitudes of HCPs toward mandatory COVID-19 vaccination and its association with general vaccination knowledge. A cross-sectional study was conducted, using an online self-administered, anonymous questionnaire to collect data on sociodemographic and health-related characteristics, trust and satisfaction with the healthcare system, utilization of preventive healthcare services, COVID-19 vaccination information, vaccination knowledge, and attitudes among HCPs toward mandatory COVID-19 vaccination. A total of 504 HCPs participated in the survey, with 34% being in favor of mandatory COVID-19 vaccination. A sufficient vaccination knowledge score was identified among the HCPs, with higher scores being associated with mandatory vaccination support (p < 0.001). As age increases by one year, the odds of supporting mandatory vaccination increase by 1.03 units (95% CI: 1.01–1.06). In addition, as the general vaccination knowledge score increases by one unit, the odds of supporting mandatory COVID-19 vaccination increase by 1.55 units (95% CI: 1.33–1.81). Our findings show that about two-thirds of the HCPs in Cyprus were opposed to a mandatory COVID-19 vaccination policy. Older age and general vaccination knowledge were found to be the strongest predictors of mandatory vaccination support. To avoid unforeseen outcomes, mandatory vaccination policies should be implemented with caution and consultation.
Co-designing a Program to Improve Post-stroke Sexual Rehabilitation: The Promise of Innovative Methods
Authors: Auger Louis-Pierre , Allegue Dorra Rakia , Morales Ernesto , Thomas Aliki , Filiatrault Johanne , Vachon Brigitte , Rochette Annie
Published: May 2022

Introduction

Most people who sustain a stroke are likely to experience sexual difficulties during their recovery. However, few people get the opportunity to address sexuality during their rehabilitation because of factors related to the organization (e.g., culture), managers (e.g., lack of resources), clinicians (e.g., perceived lack of knowledge, skills, and comfort), and clients (e.g., taboo). A multifactorial program tailored to stakeholders' needs with various complementary interventions is needed to lead to a change of practice in post-stroke sexual rehabilitation.

Objective

To co-design with stakeholders (i.e., people with stroke, partners, clinicians, managers and researchers) a theory-driven multifactorial program to improve post-stroke sexual rehabilitation services.

Methods

This qualitative study will be conducted in four steps using an Intervention Mapping approach and a co-design methodology divided into four phases: (1) exploration; (2) co-design; (3) validation; and (4) development. Persons with stroke, partners, clinicians and managers from five distinct stroke rehabilitation centres in the province of Quebec (Canada), and researchers will be recruited to either participate in an advisory committee or working groups throughout the study. A combination of contributions from three different types of groups (advisory group, Lego® groups, work groups) will be used for data collection. Qualitative data analysis will first be realized by two independent reviewers using the Theoretical Domains Framework, and preliminary results of analysis will be validated with the advisory and working groups.

Conclusion

This study will lead to the co-design of the first theory-driven program intended to optimize post-stroke sexual rehabilitation services.
Moral Injury Among Frontline Long-Term Care Staff and Management During the COVID-19 Pandemic
Authors: Reynolds Kristin A. , Pankratz Lily , Jain Barbie , Grocott Bronwen , Bonin Lynette , King Gillian , Sommer Jordana L. , El-Gabalawy Renée , Giuliano Ryan J. , Kredentser Maia , Mota Natalie , Roos Leslie E.
Published: May 2022

Background

A growing body of research highlights the experiences of moral injury among healthcare professionals during the COVID-19 pandemic. Moral injury (i.e., participating in or witnessing acts that violate one's central moral values), is associated with a host of psychological sequelae and corresponding negative psychosocial impacts. There is a lack of research examining the experiences of moral injury among those working in long-term care settings during the COVID-19 pandemic. Given the drastic impact that the COVID-19 pandemic has had on long-term care facilities in Canada, it is important to understand the experiences of moral injury among those working in long-term care settings to inform the development of effective prevention and intervention strategies.

Objectives & Method

The objectives of this study were to understand the experiences and impact of moral injury among Canadian frontline long-term care workers (staff and management) during the COVID-19 pandemic. Participants (N= 32 long-term care staff and management working in Ottawa and Manitoba) completed in-depth, semi-structured qualitative interviews and clinical diagnostic assessments (Mini International Neuropsychiatric Interviews; MINI; Version 7.0.2) between March 2021-June 2021.

Findings

The core category of our qualitative grounded theory model of moral injury in long-term care exemplified four shared types of morally injurious experiences, paired with cognitive, affective, and physiological symptom domains. Seven associated main themes emerged, contributing to the experiences and impact of moral injury in long-term care: 1) Beliefs about older adults and long-term care; 2) Interpretation of morally injurious experiences; 3) Management of morally injurious experiences; 4) Long-term care pandemic impacts; 5) Personal pandemic impacts; 6) Structural impacts in long-term care; and 7) Mental health needs and supports. Clinical assessments demonstrated anxiety disorders (n= 4) and feeding and eating disorders (n= 3) were among the most frequently classified current psychiatric disorders among long-term care workers.

Conclusions

This is the first Canadian study to examine the experiences and impact of moral injury in long-term care during the COVID-19 pandemic using qualitative and clinical diagnostic methodologies. Implications and insights for screening and intervention are offered.
Social Discontent or Criminality? Navigating the Nexus Between Urban Riots and Criminal Activities in Gauteng and KwaZulu-Natal Provinces, South Africa (2021)
Authors: Mongale Collin Olebogeng
Published: May 2022

Post-apartheid South Africa is characterized by the proliferation of public protests, which occur in various contexts. These include urban riots that are typically carried out by individuals who live in residential areas who are relatively politically, socially, and economically marginalized. In this perspective, the study seeks to navigate the nexus between urban riots and criminal activities in Gauteng and KwaZulu-Natal provinces of South Africa. This will be performed by looking at the recent urban violence that erupted in Johannesburg and Durban cities of South Africa following the arrest of the former president of South Africa Jacob Zuma on 7 July for contempt of court. As a result of the incarceration of Zuma, his supporters took to the streets to demand for his release, ending in protests which quickly evolved into widespread lootings, vandalism, and an outbreak of violence that denoted elements of criminality. The two provinces, Gauteng (the country's economic hub) and KwaZulu-Natal (on the east coast), bore the brunt of this violence. What began as a call for the release of Jacob Zuma transpired into something that was heavily coordinated, controlled and, to a larger extent, dangerous, and perhaps the worst post-apartheid urban riot. However, behind these riots, there are seeds of discontents that triggered these violent riots and these include: the frustrations of hungry and cold people whose prospects were already constrained by the coronavirus disease-2019 (COVID-19) pandemic, rising inequality between rich and poor, unemployment, intra-party tensions, and ANC-factionalism, including stereotypical Zulu nationalism and racial tensions in South Africa. On the other hand, the riots that occurred in both KwaZulu-Natal and Gauteng were accompanied by criminality such as looting, torching, and burning of private and public properties and, to a larger degree, murder of civilians. Findings are that the urban riots in both Gauteng and KwaZulu-Natal provinces have resulted in human (in)securities such as exacerbation of poverty, food and fuel shortages, effects on the health sector (amid the COVID-19 crisis), loss of lives, and increase in unemployment. Methodologically, the study relies on a mixed method of research and content analysis.
Constant-Beamwidth Kronecker Product Beamforming With Nonuniform Planar Arrays
Authors: Frank Ariel , Cohen Israel
Published: May 2022

In this paper, we address the problem of constant-beamwidth beamforming using nonuniform planar arrays. We propose two techniques for designing planar beamformers that can maintain different beamwidths in the XZ and YZ planes based on constant-beamwidth linear arrays. In the first technique, we utilize Kronecker product beamforming to find the weights, thus eliminating matrix inversion. The second technique provides a closed-form solution that allows for a tradeoff between white noise gain and directivity factor. The second technique is applicable even when only a subset of the sensors is used. Since our techniques are based on linear arrays, we also consider symmetric linear arrays. We present a method that determines where sensors should be placed to maximize the directivity and increase the frequency range over which the beamwidth remains constant, with a minimal number of sensors. Simulations demonstrate the advantages of the proposed design methods compared to the state-of-the-art. Specifically, our method yields a 1000-fold faster runtime than the competing method, while improving the wideband directivity factor by over 8 dB without compromising the wideband white noise gain in the simulated scenario.
Att-TasNet: Attending to Encodings in Time-Domain Audio Speech Separation of Noisy, Reverberant Speech Mixtures
Authors: Ravenscroft William , Goetze Stefan , Hain Thomas
Published: May 2022

Separation of speech mixtures in noisy and reverberant environments remains a challenging task for state-of-the-art speech separation systems. Time-domain audio speech separation networks (TasNets) are among the most commonly used network architectures for this task. TasNet models have demonstrated strong performance on typical speech separation baselines where speech is not contaminated with noise. When additive or convolutive noise is present, performance of speech separation degrades significantly. TasNets are typically constructed of an encoder network, a mask estimation network and a decoder network. The design of these networks puts the majority of the onus for enhancing the signal on the mask estimation network when used without any pre-processing of the input data or post processing of the separation network output data. Use of multihead attention (MHA) is proposed in this work as an additional layer in the encoder and decoder to help the separation network attend to encoded features that are relevant to the target speakers and conversely suppress noisy disturbances in the encoded features. As shown in this work, incorporating MHA mechanisms into the encoder network in particular leads to a consistent performance improvement across numerous quality and intelligibility metrics on a variety of acoustic conditions using the WHAMR corpus, a data-set of noisy reverberant speech mixtures. The use of MHA is also investigated in the decoder network where it is demonstrated that smaller performance improvements are consistently gained within specific model configurations. The best performing MHA models yield a mean 0.6 dB scale invariant signal-to-distortion (SISDR) improvement on noisy reverberant mixtures over a baseline 1D convolution encoder. A mean 1 dB SISDR improvement is observed on clean speech mixtures.
Not in Their Right Mind? Right-Wing Extremism Is Not a Mental Illness, but Still a Challenge for Psychiatry
Authors: Schumann Frank , Brook Peter , Heinze Martin
Published: May 2022

Most research in psychiatry on extremism focuses on the question whether there is a connection between extremism and psychiatric diagnoses. In addition, practitioners are increasingly asked to take part in programs aimed at preventing and countering violent extremism by assessing risk for radicalization. However, an issue that remains largely unaddressed is that the rise of the far right in many countries during the last years poses a challenge for psychiatric services as working with right-wing patients can be a source of conflict for practitioners and patients alike. In this article, we assert that the narrow conceptual scope on psychological vulnerabilities and the practical focus on risk assessment contribute to processes of psychiatrization and limit the scope of research on right-wing extremism in psychiatry. By giving a brief overview of social research into right-wing extremism, the article argues that right wing beliefs should not be conceptualized as an expression of psychological vulnerabilities but rather as attempts to deal with conflict-laden social reality. Thus, a shift of perspective in psychiatric research on extremism is needed. On a conceptional level, the scope needs to be broadened to grasp the interplay of individual and social factors in radicalization with sufficient complexity. On a practical level, it is necessary to further investigate challenges for practitioners and institutions working with right-wing extremist patients.
Neoadjuvant Bevacizumab Plus Docetaxel/Cisplatin/Capecitabine Chemotherapy in Locally Advanced Gastric Cancer Patients: A Pilot Study
Authors: Yu Deguo , Wang Zhenfeng , He Tingbang , Yang Lijun
Published: May 2022

Background

Bevacizumab (BEV) plus chemotherapy as a neoadjuvant regimen presents good efficacy in patients with locally advanced cancer. However, its role in patients with locally advanced gastric cancer (LAGC) is not clear. Thus, the study aimed to assess the efficacy and safety of neoadjuvant BEV plus chemotherapy in patients with LAGC.

Methods

Twenty resectable patients with LAGC who received BEV plus docetaxel/cisplatin/capecitabine (DCC) chemotherapy for 3 cycles with 21 days as one cycle as neoadjuvant regimen were involved. Besides, their treatment response, survival profiles, and adverse events were assessed.

Results

In total, two (10.0%), 9 (45.0%), 8 (40.0%), and 1 (5.0%) patients achieved complete remission, partial remission, stable disease, and progressive disease (PD) according to imaging evaluation, which resulted in 55.0% of objective response rate and 95.0% of disease control rate, respectively. Moreover, the number of patients with pathological response grades 1, 2, and 3 was 8 (40.0%), 8 (40.0%), and 3 (15.0%); while 1 (5.0%) patient did not receive surgery due to PD, thus the data of this patient was not assessable. Meanwhile, 18 (90.0%) patients achieved R0 resection. Regarding survival profile, the median disease-free survival or overall survival were both not reached. The 1-year, 2-, and 3-year disease-free survival rates were 88.8, 80.7, and 67.3%. Meanwhile, the 1-, 2-, and 3-year overall survival rates were 100.0%, 75.8%, and 75.8%, respectively. Additionally, the main adverse events were anemia (90.0%), alopecia (90.0%), leukopenia (70.0%), and anorexia (65.0%). Indeed, most adverse events were of grade 1 or 2 and were manageable.

Conclusion

Neoadjuvant BEV plus DCC chemotherapy presents a favorable pathological response and survival profile with acceptable safety in patients with LAGC.
The Use of MALDI-TOF MS as a Diagnostic Tool for Adult Trichuris Species
Authors: Rivero Julia , Zurita Antonio , Cutillas Cristina , Callejón Rocío
Published: May 2022

Trichuriasis is considered a neglected tropical disease, being the second most common helminthiasis in humans. Detection of Trichuris in routine diagnosis is usually done by microscopic detection of eggs in fecal samples. Other molecular analyses are more reliable and could be used, but these analyses are not routinely available in clinical microbiology laboratories. The use of matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF) mass spectrometry (MS) is increasing since the last decades due to its recent evidence as a potential role for reliable identification of microorganisms and a few nematodes. But, for parasites detection, normalized protocols and the acquisition and introduction of new species to the database are required. We carried out a preliminary study confirming the usefulness of MALDI-TOF MS for the rapid and reliable identification of Trichuris suis used as control and the creation of an internal database. To create main spectra profiles (MSPs), the different parts of five whipworms (esophagus and intestine) were used, developing different tests to verify the repeatability and reproducibility of the spectra. Thus, to validate the new internal database, 20 whipworms, separating the esophagus and intestine, were used, of which 100% were accurately identified as T. suis, but could not distinguish between both parts of the worm. Log score values ranged between 1.84 and 2.36, meaning a high-quality identification. The results confirmed that MALDI-TOF MS was able to identify Trichuris species. Additionally, a MALDI-TOF MS profile of T. suis proteome was carried out to develop the first internal database of spectra for the diagnosis of trichuriasis and other Trichuris spp.
Assessment of Diversity of Antimicrobial Resistance Phenotypes and Genotypes of Mannheimia haemolytica Isolates From Bovine Nasopharyngeal Swabs
Authors: Carter Hannah F. , Wills Robert W. , Scott Matthew A. , Thompson Alexis C. , Singer Randall S. , Loy John Dustin , Karisch Brandi B. , Epperson William B. , Woolums Amelia R.
Published: May 2022

The threat of bovine respiratory disease (BRD) for cattle operations is exacerbated by increasing prevalence of antimicrobial resistance (AMR) inMannheimia haemolytica, a leading cause of BRD. Characterization of AMR inM. haemolyticaby culture and susceptibility testing is complicated by uncertainty regarding the number of colonies that must be selected to accurately characterize AMR phenotypes (antibiograms) and genotypes in a culture. The study objective was to assess phenotypic and genotypic diversity ofM. haemolyticaisolates on nasopharyngeal swabs (NPS) from 28 cattle at risk for BRD or with BRD. NPS were swabbed onto five consecutive blood agar plates; after incubation up to 20M. haemolyticacolonies were selected per plate (up to 100 colonies per NPS). Phenotype was determined by measuring minimum inhibitory concentrations (MIC) for 11 antimicrobials and classifying isolates as resistant or not. Genotype was indirectly determined by matrix-assisted laser desorption/ionization time of flight mass spectroscopy (MALDI-TOF MS). NPS from 11 of 28 cattle yielded at least oneM. haemolyticaisolate; median (range) of isolates per NPS was 48 (1–94). NPS from seven cattle yielded one phenotype, 3 NPS yielded two, and 1 NPS yielded three; however, within a sample all phenotypic differences were due to only one MIC dilution. On each NPS allM. haemolyticaisolated were the same genotype; genotype 1 was isolated from three NPS and genotype two was isolated from eight. Diversity ofM. haemolyticaon bovine NPS was limited, suggesting that selection of few colonies might adequately identify relevant phenotypes and genotypes.
Screening of Bovine Tissue-Specific Expressed Genes and Identification of Genetic Variation Within an Adipose Tissue-Specific lncRNA Gene
Authors: Zhang Sihuan , Xu Han , Jiang Enhui , Akhatayeva Zhanerke , Jiang Fugui , Song Enliang , Pan Chuanying , Chen Hong , Lan Xianyong
Published: May 2022

Global classification of bovine genes is important for studies of biology and tissue-specific gene editing. Herein, we classified the tissue-specific expressed genes and uncovered an important variation in the promoter region of an adipose tissue-specific lncRNA gene. Statistical analysis demonstrated that the number of genes specifically expressed in the brain was the highest, while it was lowest in the adipose tissues. A total of 1,575 genes were found to be significantly higher expressed in adipose tissues. Bioinformatic analysis and qRT-PCR were used to uncover the expression profiles of the 23 adipose tissue-specific and highly expressed genes in 8 tissues. The results showed that most of the 23 genes have higher expression level in adipose tissue. Besides, we detected a 12 bp insertion/deletion (indel) variation (rs720343880) in the promoter region of an adipose tissue-specific lncRNA gene (LOC100847835). The different genotypes of this variation were associated with carcass traits of cattle. Therefore, the outcomes of the present study can be used as a starting point to explore the development of cattle organs and tissues, as well as to improve the quality of cattle products.
MKD: Mixup-Based Knowledge Distillation for Mandarin End-to-End Speech Recognition
Authors: Wu Xing , Jin Yifan , Wang Jianjia , Qian Quan , Guo Yike
Published: May 2022

Large-scale automatic speech recognition model has achieved impressive performance. However, huge computational resources and massive amount of data are required to train an ASR model. Knowledge distillation is a prevalent model compression method which transfers the knowledge from large model to small model. To improve the efficiency of knowledge distillation for end-to-end speech recognition especially in the low-resource setting, a Mixup-based Knowledge Distillation (MKD) method is proposed which combines Mixup, a data-agnostic data augmentation method, with softmax-level knowledge distillation. A loss-level mixture is presented to address the problem caused by the non-linearity of label in the KL-divergence when adopting Mixup to the teacher–student framework. It is mathematically shown that optimizing the mixture of loss function is equivalent to optimize an upper bound of the original knowledge distillation loss. The proposed MKD takes the advantage of Mixup and brings robustness to the model even with a small amount of training data. The experiments on Aishell-1 show that MKD obtains a 15.6% and 3.3% relative improvement on two student models with different parameter scales compared with the existing methods. Experiments on data efficiency demonstrate MKD achieves similar results with only half of the original dataset.
Experimental Validation of Ellipsoidal Techniques for State Estimation in Marine Applications
Authors: Rauh Andreas , Gourret Yohann , Lagattu Katell , Hummes Bernardo , Jaulin Luc , Reuter Johannes , Wirtensohn Stefan , Hoher Patrick
Published: May 2022

A reliable quantification of the worst-case influence of model uncertainty and external disturbances is crucial for the localization of vessels in marine applications. This is especially true if uncertain GPS-based position measurements are used to update predicted vessel locations that are obtained from the evaluation of a ship’s state equation. To reflect real-life working conditions, these state equations need to account for uncertainty in the system model, such as imperfect actuation and external disturbances due to effects such as wind and currents. As an application scenario, the GPS-based localization of autonomous DDboat robots is considered in this paper. Using experimental data, the efficiency of an ellipsoidal approach, which exploits a bounded-error representation of disturbances and uncertainties, is demonstrated.
Angular Displacement Control for Timoshenko Beam by Optimized Traveling Wave Method
Authors: Ji Huawei , Zhou Chuanping , Fan Jiawei , Dai Huajie , Jiang Wei , Gong Youping , Xu Chuzhen , Wang Ban , Zhou Weihua
Published: May 2022

The vibration of flexible structures in spacecraft, such as large space deployable reflectors, solar panels and large antenna structure, has a great impact on the normal operation of spacecraft. Accurate vibration control is necessary, and the control of angular displacement is a difficulty of accurate control. In the traditional control method, the mode space control has a good effect on suppressing low-order modes, but there is control overflow. The effect of traveling wave control on low-order modes is worse than the former, but it has the characteristics of broadband control. It can better control high-order modes and reduce control overflow. In view of the advantages and disadvantages of the two control methods, based on Timoshenko beam theory, this paper uses vector mode function to analyze the modal of spacecraft cantilever beam structure, establishes the system dynamic equation, and puts forward an optimized traveling wave control method. As a numerical example, three strategies of independent mode space control, traditional traveling wave control and optimized traveling wave control are used to control the active vibration of beam angle. By comparing the numerical results of the three methods, it can be seen that the optimal control method proposed in this paper not only effectively suppresses the vibration, but also improves the robustness of the system, reflecting good control performance. An innovation of this paper is that the Timoshenko beam model is adopted, which considers the influence of transverse shear deformation and moment of inertia on displacement and improves the accuracy of calculation, which is important for spacecraft accessory structures with high requirements for angle control. Another innovation is that the optimized traveling wave control method is exquisite in mathematical processing and has good results in global and local vibration control, which is not available in other methods.
Measurement of Physical Properties of Sorghum Seeds and Calibration of Discrete Element Modeling Parameters
Authors: Mi Guopeng , Liu Yan , Wang Tao , Dong Jianxin , Zhang Shilin , Li Qiwei , Chen Kezhou , Huang Yuxiang
Published: May 2022

This study aimed to improve the measurement accuracy of the discrete element method (DEM) simulation parameters of sorghum seeds for enhanced model accuracy. We measured the intrinsic and contact parameters of sorghum seeds, extracted the outline of the seeds by 3D scanning, and used the multi-spherical particle model filling method in the EDEM (Version 2020) software to obtain the simulation model of the seeds. By simulating the free-fall, slope slip, slope rolling, and rolling experiments of sorghum seeds–photosensitive resin material, we calibrated the collision restitution coefficient of the sorghum seeds–photosensitive resin material to 0.690, static friction coefficient to 0.345, and rolling friction coefficient to 0.040. Through the steepest ascent search and central composite design experiments, we calibrated the collision restitution coefficient of sorghum seeds–sorghum seeds to 0.400, the static friction coefficient to 0.450, and the rolling friction coefficient to 0.043. The angle of repose of the parameter combination and the angle of repose of the physical experiment (33.82°) were verified, and the relative errors of the coefficients were 0.7%, 0.25%, and 0.3%, respectively, indicating that the established model had a high simulation accuracy and reliability. These results show that the established sorghum seeds model and the optimally calibrated parameter combination are effective for DEM studies on sorghum seeds.
Calibration Spiking of MIR-DRIFTS Soil Spectra for Carbon Predictions Using PLSR Extensions and Log-Ratio Transformations
Authors: Żelazny  Wiktor R. , Šimon  Tomáš
Published: May 2022

There is a need to minimize the usage of traditional laboratory reference methods in favor of spectroscopy for routine soil carbon monitoring, with potential cost savings existing especially for labile pools. Mid-infrared spectroscopy has been associated with accurate soil carbon predictions, but the method has not been researched extensively in connection to C lability. More studies are also needed on reducing the numbers of samples and on how to account for the compositional nature of C pools. This study compares performance of two classes of partial least squares regression models to predict soil carbon in a global (models trained to data from a spectral library), local (models trained to data from a target area), and calibration-spiking (spectral library augmented with target-area spectra) scheme. Topsoil samples were+ scanned with a Fourier-transform infrared spectrometer, total and hot-water extractable carbon determined, and isometric log-ratio coordinates derived from the latter measurements. The best RMSEP was estimated as 0.38 and 0.23 percentage points TC for the district and field scale, respectively—values sufficiently low to make only qualitative predictions according to the RPD and RPIQ criteria. Models estimating soil carbon lability performed unsatisfactorily, presumably due to low labile pool concentration. Traditional weighing of spiking samples by including multiple copies thereof in training data yielded better results than canonical partial least squares regression modeling with embedded weighing. Although local modeling was associated with the most accurate predictions, calibration spiking addressed better the trade-off between data acquisition costs and model quality. Calibration spiking with compositional data analysis is, therefore, recommended for routine monitoring.
Analysis on the Economic Feasibility of a Plant Factory Combined with Architectural Technology for Energy Performance Improvement
Authors: Kim Yeweon , Shin Hye-Ry , Oh Su-hyun , Yu Ki-Hyung
Published: May 2022

In this study, a comparative economic analysis was conducted for typical greenhouses, plant factories with natural and artificial light, and those with only artificial light, based on the insulation, artificial light, and photovoltaic (PV) installation costs. In addition, the results of research on primary energy consumption and greenhouse gas (GHG) emissions from the use of fossil fuels were presented. By comparing the case-wise annual energy consumption, when all energy sources were converted into primary energy consumption based on the applied coefficients for collection, transport, and processing, to unify calculations for different fossil fuel energy sources, the case of the installed PV systems exhibited large reductions, of 424% and 340%, in terms of primary energy consumption and GHG emissions, respectively. Furthermore, electric heating resulted in higher primary energy consumption and GHG emissions than oil. When the economic analysis included the plant factory installation cost used to maintain the temperature required for plant growth in winter, the PV installation exhibited the highest cost; additionally, all plant factories showed an investment payback period of seven to nine years, which is comparable to typical greenhouses. Based on these results, we aim to reduce the use of fossil fuels for sustainable energy by combining architectural technology for improved energy performance in the agricultural environment.
Identification and Clarification of VrCYCA1: A Key Genic Male Sterility-Related Gene in Mungbean by Multi-Omics Analysis
Authors: Liu Jinyang , Lin Yun , Chen Jinbin , Xue Chenchen , Wu Ranran , Yan Qiang , Chen Xin , Yuan Xingxing
Published: May 2022

Heterosis has been utilized in crops for a long time, and although crop fertility is the basis for the utilization of heterosis, there is limited information concerning the genic male sterility (GMS) of mungbean. Therefore, based on the genic male sterile mutant, M1, obtained by EMS mutagenesis of the Weilyu cultivar, this project used multi-omics analysis to detect the male sterile site and further identify its candidate gene, and then the mechanism of the candidate gene was discussed. As a result, one locus region (Chr5: 6,835,001–6,935,000 bp) associated with GMS was identified, and nine genes were found within the 100 Kb region. The candidate gene, VrCYCA1, around the above loci had a TATA box deletion approximately 4.7 Kb upstream of the gene, and this was evidenced by comparative genomics, transcriptome analysis, and RT-qPCR analysis. The expression level of VrCYCA1 was significantly downregulated (log2FC = −2.06, p-value = 0.025) in the ms lines compared with the control group. Moreover, 6653 genes showed differential expression between the Weilyu lines and mutant lines as well as 165 metabolites with significant differences in their concentration levels. Among those differentially expresses genes, 226 were annotated with functional categories involved in flowering and endosperm development, and six genes had protein–protein interactions with VrCYCA1. Seven categories of metabolites and seven genes participated in the relationship between reproductive growth and vegetative growth, which might have caused the sterility of mungbean in the mutant plants. This study used multi-omics data to mine a mungbean GMS-related gene, VrCYCA1, and constructed a GMS genetic network to explore the molecular mechanism of VrCYCA1. The results lay a solid foundation for further molecular biology research and utilization in mungbean male sterility.
In-Field Route Planning Optimisation and Performance Indicators of Grain Harvest Operations
Authors: Nørremark Michael , Nilsson René Søndergaard , Sørensen Claus Aage Grøn
Published: May 2022

Operational planning, automation, and optimisation of field operations are ways to sustain the production of food and feed. A coverage path planning method mitigating the optimisation and automation of harvest operations, characterised by capacity limitations and features derived from real world scenarios, is presented. Although prior research has developed similar methods, no such methodologies have been developed for (i) multiple field entrances as line segments, (ii) the feasibility of stationary and on-the-go unloading in the headland and main field, (iii) unloading timing independent of the full bin level of the harvester, and (iv) the transport unit operational time outside the field. To find the permutation that best minimises the costs in time and distance, an artificial bee colony (ABC) algorithm was used as a meta-heuristic optimisation method. The effectiveness of the method was analysed by generating simulated operational data and by comparing it to recorded data from seven fields ranging in size (5–26 ha) and shape. The implementation of controlled traffic farming (CTF) in the coverage path planning method, but not with the recorded data, resulted in a reduced risk of soil compaction of up to 25%, and a reduction in the in-field total travel distance of up to 15% when logistics was optimised simultaneously for two transport units. A 68% increase in the full load frequency of transporting vehicles and a 14% reduction in the total number of field to storage transports was observed. For fields located at outermost edges of the storage facility (>5 km), the increase in full load frequency, average load level, and decrease in in-field travel distance resulted in a reduction in fuel consumption by 7%. Embedding the developed coverage path planning software as a service will improve the sustainability of harvest operations including a fleet of one to many harvesting and transporting units, as the system in front of the vehicle operator calculates and displays all required actions from the operator.
Quantitative Proteomics-Based Analysis Reveals Molecular Mechanisms of Chilling Tolerance in Grafted Cotton Seedlings
Authors: Zhang Xin , Feng Yan , Khan Aziz , Ullah Najeeb , Li Zengqiang , Zaheer Saira , Zhou Ruiyang , Zhang Zhiyong
Published: May 2022

Proteome analysis of grafted cotton exposed to low-temperature stress can provide insights into the molecular mechanistic of chilling tolerance in plants. In this study, grafted and non-grafted cotton plants were exposed to chilling stress (10 °C/5 °C) for 7 d. After the stress, rootstock and scion samples were labeled by 8-plex iTRAQ (isobaric Tags for Relative and Absolute Quantification), followed by two-dimensional liquid chromatography separation and tandem mass spectrometry identification. In total, 68 differential proteins were identified that were induced by low-temperature stress and grafting, and these proteins regulate physiological functioning. Under low-temperature stress, in the cotton seedlings, the proteins responded to the MAPK signaling pathway and calcium signaling pathway enhanced, the metabolisms of carbohydrate, lipid, nucleotide, and amino acid had a tendency to intensify, the proteins related to protein folding and degradation were activated, along with the system of antioxidant enzymes to offset cellular oxidative damage. In contrast, chilling stress reduced oxidative phosphorylation, photosynthesis, and carbon fixation. These data indicated that the physiological changes in cotton seedlings comprise a complex biological process, and the ability of plants to resist this stress can be improved after grafting onto a vigorous rootstock, although this was not obvious in the young plants. Further studies of low-temperature stress and/or graft-related differences in proteins could lead to the identification of new genes associated with chilling tolerance in plants. These data provide the basis for further studies on the molecular mechanism of chilling tolerance and the relationship of grafting and chilling tolerance in cotton.
Greenhouse Thermal Effectiveness to Produce Tomatoes Assessed by a Temperature-Based Index
Authors: Flores-Velázquez Jorge , Rojano Fernando , Aguilar-Rodríguez Cruz Ernesto , Villagran Edwin , Villarreal-Guerrero Federico
Published: May 2022

This study proposed an indicator to calculate the regional thermal potential from the local temperature. A probabilistic function curve generalized as a complementary error function (erfc) was used to assume the temperature curve follows the normal distribution and considered only the portion of the curve where the appropriate temperatures for the crop are located (wi). The Greenhouse Thermal Effectiveness (GTE) index was calculated using (a) the data of measured temperature (outside) and simulated values from inside of the greenhouse, and (b) the normal temperature data from five meteorological stations. Estimations of GTE using average daily temperature (°C) throughout the year indicate that, with an annual mean temperature of around 14 °C, the GTE is 2798 degree units and inside the greenhouse its value goes up to 5800. May is when the highest temperatures occur and when the highest amount of GTE units can be accumulated. The range of temperatures in the analyzed stations were from 13 to 21 °C and the GTE calculated per year was from 2000 to 7000. The perspective will be to calculate if this energy will be enough to grow tomatoes (or other crops) without extra energy for heating or cooling. If more energy may be needed, estimating how much would be the next step.
Effect of Long-Term Organic Amendment Application on the Vertical Distribution of Nutrients in a Vertisol
Authors: Zhang Yu , Wu Liuge , Zhang Xin , Deng Aixing , Abdulkareem Raheem , Wang Daozhong , Zheng Chengyan , Zhang Weijian
Published: May 2022

Soil nutrients in deep soils are important for nutrient cycling and plant growth. Organic amendments have been widely used for enhancing soil health and crop yield. However, little is known about the effects of organic amendments on the vertical distributions of soil nutrients. Based on a 32-year long-term organic amendment experiment, the objective of this study was to evaluate changes in the vertical distribution of nutrients in a soybean–wheat system Vertisol. The results showed that NPK with manure or straw application significantly increased soil organic carbon (SOC), total N, total P, alkali-hydrolyzable N, available P and available K above the 40 cm soil layer. Variations in soil micronutrients primarily occurred above the 20 cm soil layer, and the highest contents were observed for NPKWS and NPKPM, respectively. Nevertheless, large amounts of NO3−−N contents accumulated in the 120–200 cm depth with manure but not straw application, indicating a high potential risk of nitrate leaching in manure treatments. These findings suggested that the application of organic amendment (manure or straw) could be recommendable for improving soil nutrients along the soil profile. Straw incorporation could be used as an alternative option for sustainable agriculture in regions with inadequate manure resources or severe nitrate leaching.
Comparative Transcriptional Analysis of Two Contrasting Rice Genotypes in Response to Salt Stress
Authors: Ye Xiaoxue , Tie Weiwei , Xu Jianlong , Ding Zehong , Hu Wei
Published: May 2022

Improving rice salt-tolerance is an effective way to deal with the increasing food demand caused by soil salinization and population growth. Nevertheless, the molecular mechanisms of rice salt-tolerance remain elusive. In this study, comparative transcriptomic analyses were performed to identify salt-tolerance genes that were either specifically regulated or more changed in salt-tolerant cultivar FL478 relative to salt-sensitive cultivar 93-11. In total, 1423, 175, and 224 salt-tolerance genes were identified under 200 mM NaCl treatment for 6 h, 24 h, and 72 h, respectively. These genes were commonly enriched in transport and peroxidase/oxidoreductase activity across all timepoints, but specially enriched in transcription regulator activity at 6 h under salt stress. Further analysis revealed that 53 transporters, 38 transcription factors (TFs), and 23 reactive oxygen species (ROS) scavenging enzymes were involved in salt adaptation of FL478, and that overall, these salt-tolerance genes showed a faster transcriptional expression response in FL478 than in 93-11. Finally, a gene co-expression network was constructed to highlight the regulatory relationships of transporters, TFs, and ROS scavenging genes under salt-stress conditions. This work provides an overview of genome-wide transcriptional analysis of two contrasting rice genotypes in response to salt stress. These findings imply a crucial contribution of quickly transcriptional changes to salt tolerance and provide useful genes for genetic improvement of salt tolerance in rice.
Shredlage Processing Affects the Digestibility of Maize Silage
Authors: Jančík Filip , Kubelková Petra , Loučka Radko , Jambor Václav , Kumprechtová Dana , Homolka Petr , Koukolová Veronika , Tyrolová Yvona , Výborná Alena
Published: May 2022

Maize silage is one of the most important feeds for ruminant nutrition and various production methods can have a significant impact on their quality, especially the utilization of nutrients. The objective of the study was to evaluate the effect of conventional and shredlage processing of harvested maize on kernel processing, fermentation profile, physically effective fibre and digestibility of maize silage. A stay-green maize hybrid was harvested with a conventional forage harvester (CON; theoretical length of cut 10 mm; conventional rollers with a 30% difference in roller speed; the rollers have a horizontally teeth; 1-mm roll clearance) or a shredlage processor (SHR; theoretical length of cut 25 mm; Shredlage crop processor with 50% difference in roller speed; the rollers have sawtooth teeth with a counter-rotating spiral groove; 1-mm clearance) and stored in experimental silos. The experimental silages were analysed for chemical composition (dry matter, organic matter, crude protein, crude fibre, neutral detergent fibre, starch), fermentation parameters (pH, lactate, acetate, ammonia), processing quality (kernel processing score, particle size), physically effective neutral detergent fibre (peNDF) and in vivo nutrient digestibility. The shredlage processing (SHR) of maize plants did not have an effect on the silage fermentation profile. On the other hand, the SHR treatment significantly increased kernel processing score (p < 0.01) and peNDF content (p < 0.01). SHR also increased in vivo digestibility significantly, namely that of dry matter (DM), organic matter, starch, crude fibre and neutral detergent fibre (NDF). An increase in nutrient digestibility leads to higher values of NEL. The presented results show positive effects of shredlage processing on quality and digestibility of maize silage.
In Vivo Bacteriophages’ Application for the Prevention and Therapy of Aquaculture Animals–Chosen Aspects
Authors: Schulz Patrycja , Pajdak-Czaus Joanna , Siwicki Andrzej Krzysztof
Published: May 2022

To meet the nutritional requirements of our growing population, animal production must double by 2050, and due to the exhaustion of environmental capacity, any growth will have to come from aquaculture. Aquaculture is currently undergoing a dynamic development, but the intensification of production increases the risk of bacterial diseases. In recent years, there has been a drastic development in the resistance of pathogenic bacteria to antibiotics and chemotherapeutic agents approved for use, which has also taken place in aquaculture. Consequently, animal mortality and economic losses in livestock have increased. The use of drugs in closed systems is an additional challenge as it can damage biological filters. For this reason, there has been a growing interest in natural methods of combating pathogens. One of the methods is the use of bacteriophages both for prophylactic purposes and therapy. This work summarizes the diverse results of the in vivo application of bacteriophages for the prevention and control of bacterial pathogens in aquatic animals to provide a reference for further research on bacteriophages in aquaculture and to compare major achievements in the field.
Working like a Dog: Exploring the Role of a Therapy Dog in Clinical Exercise Physiology Practice
Authors: Cameron Melainie , Hewitt Emily , Hollitt Elizabeth , Wood Jacqueline , Brown Samantha
Published: May 2022

Therapy animals in clinical settings are purported to reduce patients’ anxiety, decrease agitated behaviour, serve as social mediators, enhance the social atmosphere, and increase patients’ openness towards practitioners. A therapy dog worked alongside her exercise physiologist handler for approximately 1 day/week in a university clinic. The canine and handler functioned as a team, while the handler simultaneously undertook supervision of students. The clinic was open 24 h/week, and no other therapeutic animal was present for any part of the week. We explored, via surveys and interviews, human responses to the dog. The survey comprised 15 statement items regarding the canine’s role, behaviour, and acceptability in the clinic, ranked from strongly disagree (−2) to strongly agree (2), followed by an open item inviting participants to follow up interviews. Eleven (11) clinical clients and seven (7) students completed the survey. One client had not encountered the canine; these data were excluded. Four (4) participants from the client sample provided subsequent telephone interviews. All participants identified the canine as well-behaved; no participants considered that she detracted from their exercise sessions. Most participants were equivocal to statements regarding social lubrication and openness to practitioners; only three clients and two students identified that they felt more willing to share health information; three students identified that they felt they could confide more in the canine than in the practitioner. Interviewees’ reports were similarly favourable, reinforcing the information obtained from the surveys. Interview transcripts were subject to thematic analysis, which focussed around four key themes: (1) the canine’s good behaviour, (2) clients giving permission, and the canine as both (3) a pleasant distraction from the effort of exercise, and (4) nice to have. A therapy dog may enhance some aspects of exercise physiology service delivery.