bluuebunny/crossref_metadata_2025 huggingface dataset:
A review of the therapeutic potential of histone deacetylase inhibitors in rhabdomyosarcoma
Authors: Selim Omar , Song Clara , Kumar Amy , Phelan Rebecca , Singh Arun , Federman Noah
Published: August 2023

This review aims to summarize the putative role of histone deacetylases (HDACs) in rhabdomyosarcoma (RMS) and the effects of HDAC inhibitors (HDACi) on RMS by elucidating and highlighting known oncogenic pathways, mechanisms of resistance, and the synergistic potential of histone deacetylase inhibitors. We searched two databases (PubMed and Google Scholar) for the keywords “Rhabdomyosarcoma, histone deacetylase, histone deacetylase inhibitors.” We excluded three publications that did not permit access to the full text to review and those that focus exclusively on pleiomorphic RMS in adults. Forty-seven papers met the inclusion criteria. This review highlights that HDACi induce cytotoxicity, cell-cycle arrest, and oxidative stress in RMS cells. Ultimately, HDACi have been shown to increase apoptosis and the cessation of embryonal and alveolar RMS proliferationin vivoandin vitro, both synergistically and on its own. HDACi contain potent therapeutic potential against RMS. This review discusses the significant findings and the biological mechanisms behind the anti-cancer effects of HDACi. Additionally, this review highlights important clinical trials assessing the efficacy of HDACi in sarcomas.
Ferroptosis in pulmonary fibrosis: an emerging therapeutic target
Authors: Wang Chunyan , Hua Shucheng , Song Lei
Published: August 2023

In recent years, the role of ferroptosis in pulmonary fibrosis has garnered increasing interest as a potential therapeutic target. Pulmonary fibrosis is a pathological process characterized by the accumulation of extracellular matrix in affected lung tissues, and currently, there are no effective therapies for preventing or reversing the fibrotic lesions. Ferroptosis is a form of programmed cell death that is regulated by a network of enzymes and signaling pathways. Dysregulation of ferroptosis has been implicated in several diseases, including pulmonary fibrosis. The accumulation of lipid peroxides in the course of ferroptosis causes damage to cell membranes and other cellular components, leading ultimately to cell death. Relevant targets for therapeutic intervention in ferroptosis include key enzymes, such as glutathione peroxidase 4, transcription factors like nuclear factor erythroid 2-related factor 2, and iron chelation. This review provides an overview of the emerging role of ferroptosis in pulmonary fibrosis and highlights potential therapeutic targets in this pathway. Further research is needed to develop safe and effective approaches targeting ferroptosis in treatment of pulmonary fibrosis.
Optimisation of trace mineral supplementation in diets for Atlantic salmon smolt with reference to holistic fish performance in terms of growth, health, welfare, and potential environmental impacts
Authors: Kokkali Marialena , Sveen Lene , Larsson Thomas , Krasnov Aleksei , Giakovakis Alexandros , Sweetman John , Lyons Philip , Kousoulaki Katerina
Published: August 2023

The aquafeed ingredient inventory is ever changing, from marine to plant based, and recently evolving to incorporate increasing amounts of low trophic, side stream and circular economy based raw materials, each one contributing with variable amounts and qualities of macro- and micronutrients. Meeting the micronutrient requirement of farmed fish for healthy and efficient growth under normal and challenging conditions is of paramount importance. In this study we run a trial based on a 2 × 4 factorial design with three replications for each dietary treatment, where Atlantic salmon smolt were fed one of 8 experimental diets supplemented with either organic or inorganic mineral premixes (copper, iron, manganese, selenium, and zinc) at four dietary inclusion levels. We saw a trend for higher growth rate in the organic mineral groups irrespective of the dietary mineral levels. Mineral digestibility was negatively correlated with increasing mineral supplementation levels for all tested minerals but Se which increased with the increasing supplementation in the inorganic and up to the 2nd inclusion level in the organic mineral groups. Increasing mineral supplementation affected retention efficiency of Zn, Mn, Cu and Fe while mineral source affected only the retention of Se which was higher in the organic mineral groups. Moreover, fish obtained higher EPA and DHA in their body and increased slaughter yield in the organic as compared to the inorganic mineral groups and corroborated that trace mineral inclusion levels play a key role on salmon fillet’s technical quality. More effects from different origin and dietary inclusion levels of trace minerals were seen on fillet yield, fillet technical and nutritional quality, bone strength, skin morphology, organ mineralization and midgut transcriptome.
Risk factors for fatty pancreas and effects of fatty infiltration on pancreatic cancer
Authors: Otsuka Nao , Shimizu Kyoko , Taniai Makiko , Tokushige Katsutoshi
Published: August 2023

Objective: This study clarified the risk factors and pathophysiology of pancreatic cancer by examining the factors associated with fatty pancreas.

Methods: The degree of fatty pancreas, background factors, and incidence of pancreatic cancer were examined among nonalcoholic fatty liver disease (NAFLD) patients (n = 281) and intraductal papillary mucinous neoplasm (IPMN) patients with a family history of pancreatic cancer (n = 38). The presence of fatty pancreas was confirmed by the pancreatic CT value/splenic CT value ratio (P/S ratio). Immunohistochemical staining was performed on 10 cases with fatty pancreas, confirmed via postoperative pathology.

Results: Fatty pancreas occurred in 126 patients (44.8%) in the NAFLD group who were older (p = 0.0002) and more likely to have hypertension (p < 0.0001). The IPMN group had 18 patients (47.4%) with fatty pancreas, included more men than women (p = 0.0056), and was more likely to have patients with hypertension (p = 0.0010). On histological examination, a significant infiltration of adipocytes into the acini from the pancreatic interstitium induced atrophy of the pancreatic parenchyma, and both M1 and M2 macrophages were detected in the area where adipocytes invaded the pancreatic parenchyma. Accumulation of p62 and increased positive staining of NQO1 molecules related to autophagy dysfunction were detected in pancreatic acinar cells in the fatty area, acinar-ductal metaplasia, and pancreatic cancer cells. The rate of p62-positive cell area and that of NQO1-positive cell area were significantly higher in the fatty pancreatic region than those in the control lesion (pancreatic region with few adipocyte infiltration). Furthermore, the rate of p62-positive cell area or that of NQO1-positive cell area showed strong positive correlations with the rate of fatty pancreatic lesion. These results suggest that adipocyte invasion into the pancreatic parenthyme induced macrophage infiltration and autophagy substrate p62 accumulation. High levels of NQO1 expression in the fatty area may be dependent on p62 accumulation.

Conclusion: Hypertension was a significant risk factor for fatty pancreas in patients with NAFLD and IPMN. In fatty pancreas, fatty infiltration into the pancreatic parenchyme might induce autophagy dysfunction, resulting in activation of antioxidant proteins NQO1. Thus, patients with fatty pancreas require careful follow-up.
Multi-index fuzzy comprehensive evaluation model with information entropy of alfalfa salt tolerance based on LiDAR data and hyperspectral image data
Authors: Zhang Jiaxin , Zhang Aiwu , Liu Zixuan , He Wanting , Yang Shengyuan
Published: August 2023

Rapid, non-destructive and automated salt tolerance evaluation is particularly important for screening salt-tolerant germplasm of alfalfa. Traditional evaluation of salt tolerance is mostly based on phenotypic traits obtained by some broken ways, which is time-consuming and difficult to meet the needs of large-scale breeding screening. Therefore, this paper proposed a non-contact and non-destructive multi-index fuzzy comprehensive evaluation model for evaluating the salt tolerance of alfalfa from Light Detection and Ranging data (LiDAR) and HyperSpectral Image data (HSI). Firstly, the structural traits related to growth status were extracted from the LiDAR data of alfalfa, and the spectral traits representing the physical and chemical characteristics were extracted from HSI data. In this paper, these phenotypic traits obtained automatically by computation were called Computing Phenotypic Traits (CPT). Subsequently, the multi-index fuzzy evaluation system of alfalfa salt tolerance was constructed by CPT, and according to the fuzzy mathematics theory, a multi-index Fuzzy Comprehensive Evaluation model with information Entropy of alfalfa salt tolerance (FCE-E) was proposed, which comprehensively evaluated the salt tolerance of alfalfa from the aspects of growth structure, physiology and biochemistry. Finally, comparative experiments showed that: (1) The multi-index FCE-E model based on the CPT was proposed in this paper, which could find more salt-sensitive information than the evaluation method based on the measured Typical Phenotypic Traits (TPT) such as fresh weight, dry weight, water content and chlorophyll. The two evaluation results had 66.67% consistent results, indicating that the multi-index FCE-E model integrates more information about alfalfa and more comprehensive evaluation. (2) On the basis of the CPT, the results of the multi-index FCE-E method were basically consistent with those of Principal Component Analysis (PCA), indicating that the multi-index FCE-E model could accurately evaluate the salt tolerance of alfalfa. Three highly salt-tolerant alfalfa varieties and two highly salt-susceptible alfalfa varieties were screened by the multi-index FCE-E method. The multi-index FCE-E method provides a new method for non-contact non-destructive evaluation of salt tolerance of alfalfa.
Research on machine vision and deep learning based recognition of cotton seedling aphid infestation level
Authors: Xu Xin , Shi Jing , Chen Yongqin , He Qiang , Liu Liangliang , Sun Tong , Ding Ruifeng , Lu Yanhui , Xue Chaoqun , Qiao Hongbo
Published: August 2023

Aphis gossypii Glover is a major insect pest in cotton production, which can cause yield reduction in severe cases. In this paper, we proposed the A. gossypii infestation monitoring method, which identifies the infestation level of A. gossypii at the cotton seedling stage, and can improve the efficiency of early warning and forecasting of A. gossypii, and achieve precise prevention and cure according to the predicted infestation level. We used smartphones to collect A. gossypii infestation images and compiled an infestation image data set. And then constructed, trained, and tested three different A. gossypii infestation recognition models based on Faster Region-based Convolutional Neural Network (R-CNN), You Only Look Once (YOLO)v5 and single-shot detector (SSD) models. The results showed that the YOLOv5 model had the highest mean average precision (mAP) value (95.7%) and frames per second (FPS) value (61.73) for the same conditions. In studying the influence of different image resolutions on the performance of the YOLOv5 model, we found that YOLOv5s performed better than YOLOv5x in terms of overall performance, with the best performance at an image resolution of 640×640 (mAP of 96.8%, FPS of 71.43). And the comparison with the latest YOLOv8s showed that the YOLOv5s performed better than the YOLOv8s. Finally, the trained model was deployed to the Android mobile, and the results showed that mobile-side detection was the best when the image resolution was 256×256, with an accuracy of 81.0% and FPS of 6.98. The real-time recognition system established in this study can provide technical support for infestation forecasting and precise prevention of A. gossypii.
TBC-YOLOv7: a refined YOLOv7-based algorithm for tea bud grading detection
Authors: Wang Siyang , Wu Dasheng , Zheng Xinyu
Published: August 2023

Introduction

Accurate grading identification of tea buds is a prerequisite for automated tea-picking based on machine vision system. However, current target detection algorithms face challenges in detecting tea bud grades in complex backgrounds. In this paper, an improved YOLOv7 tea bud grading detection algorithm TBC-YOLOv7 is proposed.

Methods

The TBC-YOLOv7 algorithm incorporates the transformer architecture design in the natural language processing field, integrating the transformer module based on the contextual information in the feature map into the YOLOv7 algorithm, thereby facilitating self-attention learning and enhancing the connection of global feature information. To fuse feature information at different scales, the TBC-YOLOv7 algorithm employs a bidirectional feature pyramid network. In addition, coordinate attention is embedded into the critical positions of the network to suppress useless background details while paying more attention to the prominent features of tea buds. The SIOU loss function is applied as the bounding box loss function to improve the convergence speed of the network.

Result

The results of the experiments indicate that the TBC-YOLOv7 is effective in all grades of samples in the test set. Specifically, the model achieves a precision of 88.2% and 86.9%, with corresponding recall of 81% and 75.9%. The mean average precision of the model reaches 87.5%, 3.4% higher than the original YOLOv7, with average precision values of up to 90% for one bud with one leaf. Furthermore, the F1 score reaches 0.83. The model’s performance outperforms the YOLOv7 model in terms of the number of parameters. Finally, the results of the model detection exhibit a high degree of correlation with the actual manual annotation results (R2=0.89), with the root mean square error of 1.54.

Discussion

The TBC-YOLOv7 model proposed in this paper exhibits superior performance in vision recognition, indicating that the improved YOLOv7 model fused with transformer-style module can achieve higher grading accuracy on densely growing tea buds, thereby enables the grade detection of tea buds in practical scenarios, providing solution and technical support for automated collection of tea buds and the judging of grades.
Preventing self-fertilization: Insights from Ziziphus species
Authors: Tel-Zur Noemi
Published: August 2023

The fitness of self-progeny individuals is inferior to that of their outcrossed counterparts, resulting in a reduction in a plant population’s ability to survive and reproduce. To prevent self‐fertilization, angiosperms with hermaphrodite flowers may exploit a variety of mechanisms, including synchronous dichogamy and self-incompatibility. Synchronous dichogamy involves two flowering morphs, with strict within-morph synchronization, thereby preventing not only autogamy and geitonogamy but also intra-morph mating. Self-fertilization is also prevented by self-incompatibility, a genetic mechanism that allows the identification and rejection of “self” pollen, thereby preventing both autogamy and geitonogamy. Here, I seek to provide a perspective of flowering in Ziziphus species exhibiting both synchronous (i.e., “Early” morph flowers open in the morning and “Late” morph flowers open in the afternoon) protandrous dichogamy (i.e., pollen dispersal before the stigma becomes receptive) and self-incompatibility.
Differential gene expression of Asian citrus psyllids infected with ‘Ca. Liberibacter asiaticus’ reveals hyper-susceptibility to invasion by instar fourth-fifth and teneral adult stages
Authors: He Ruifeng , Fisher Tonja W. , Saha Surya , Peiz-Stelinski Kirsten , Willis Mark A. , Gang David R. , Brown Judith K.
Published: August 2023

The bacterial pathogen Candidatus Liberibacter asiaticus (CLas) is the causal agent of citrus greening disease. This unusual plant pathogenic bacterium also infects its psyllid host, the Asian citrus psyllid (ACP). To investigate gene expression profiles with a focus on genes involved in infection and circulation within the psyllid host of CLas, RNA-seq libraries were constructed from CLas-infected and CLas-free ACP representing the five different developmental stages, namely, nymphal instars 1-2, 3, and 4-5, and teneral and mature adults. The Gbp paired-end reads (296) representing the transcriptional landscape of ACP across all life stages and the official gene set (OGSv3) were annotated based on the chromosomal-length v3 reference genome and used for de novo transcript discovery resulting in 25,410 genes with 124,177 isoforms. Differential expression analysis across all ACP developmental stages revealed instar-specific responses to CLas infection, with greater overall responses by nymphal instars, compared to mature adults. More genes were over-or under-expressed in the 4-5th nymphal instars and young (teneral) adults than in instars 1-3, or mature adults, indicating that late immature instars and young maturing adults were highly responsive to CLas infection. Genes identified with potential for direct or indirect involvement in the ACP-CLas circulative, propagative transmission pathway were predominantly responsive during early invasion and infection processes and included canonical cytoskeletal remodeling and endo-exocytosis pathway genes. Genes with predicted functions in defense, development, and immunity exhibited the greatest responsiveness to CLas infection. These results shed new light on ACP-CLas interactions essential for pathogenesis of the psyllid host, some that share striking similarities with effector protein-animal host mechanisms reported for other culturable and/or fastidious bacterial- or viral- host pathosystems.
Expression of candidate marker genes of sugar starvation is upregulated in growth-suppressed parthenocarpic cucumber fruit. Novel gene markers for sugar starvation in growth-suppressed cucumber fruit
Authors: Tazuke Akio , Kinoshita Tsuguki , Asayama Munehiko
Published: August 2023

To examine the physiological change in the growth suppression and abortion of parthenocarpic cucumber fruit, the expression of candidate marker genes of sugar starvation in relation to growth activity was examined. Fruits that failed to start exponential growth seemed to eventually abort. Hexose concentration of fruits was low in growth-suppressed fruit and increased in normally growing fruit consistent with the vacuolization. The correlation matrix indicated that the transcript levels of the genes, except CsaV3_6G046050 and CsaV3_5G032930, had a highly significant negative correlation with the relative growth rate in fruit length and had highly significant mutual positive correlations, suggesting that the asparagine synthetase gene, Cucumis sativus putative CCCH-type zinc finger protein CsSEF1, C. sativus BTB/POZ domain-containing protein At1g63850-like, CsaV3_3G000800, CsaV3_3G041280, and CsaV3_7G032930 are good markers of sugar starvation in cucumber fruit. The expression of candidate marker genes together with the hexose analysis strongly suggests that severe sugar starvation is occurring in growth-suppressed fruit.
Mutations in type II Golgi-localized proton pyrophosphatase AVP2;1/VHP2;1 affect pectic polysaccharide rhamnogalacturonan-II and alter root growth under low boron condition in Arabidopsis thaliana
Authors: Onuh Amarachukwu Faith , Miwa Kyoko
Published: August 2023

The essential plant nutrient boron is required for the crosslinking of the pectin polysaccharide, rhamnogalacturonan II (RG-II). The synthesis of the pectic polysaccharides takes place in the Golgi apparatus, acidified by proton pumps. AVP2;1/VHP2;1 is a type II proton pyrophosphatase localized in the Golgi apparatus, which possesses proton pumping activity coupled with pyrophosphate hydrolysis. Its activity and expression patterns have been previously revealed but its role in plants remains unknown. The aim of the present work therefore was to explore the physiological role of AVP2;1 in Arabidopsis thaliana. In the screening of mutants under low boron, a mutant carrying a missense mutation in AVP2;1 was isolated. This mutant showed increased primary root growth under low boron conditions but no significant difference under normal boron condition compared to wild type plants. T-DNA insertion caused similar growth, suggesting that reduced function of AVP2;1 was responsible. Root cell observation revealed an increase in meristematic zone length, cell number in meristem and length of matured cell in avp2;1 mutants compared to wild type under low boron. Calcium concentration was reduced in mutant root cell wall under low boron. RG-II specific sugars also tended to be decreased in mutant root cell wall under low and normal boron conditions. These results suggest that changes in cell wall component by mutations in AVP2;1 may possibly explain the increased root length of mutants under low boron. This supports the idea that AVP2;1 plays a role in pH homoeostasis in Golgi apparatus for pectin synthesis.
Modification and validation of the COVID-19 stigma instrument in nurses: A cross-sectional survey
Authors: Huang Feifei , Sun Wenxiu , Li Yonglin , Zhang Lin , Chen Wei-Ti
Published: August 2023

Background

Nurses taking care of patients with infectious diseases have suffered from noticeable societal stigma, however currently, there is no validated scale to measure such stigma. This study aimed to revise and validate the COVID-19 Stigma Instrument-Nurse-Version 3 (CSI-N-3) by using item response theory (IRT) as well as classical test theory analysis.

Methods

In phase I, the Chinese CSI-N-3 was modified from the English version of HIV/AIDS Stigma Instrument-Nurse based on standard cross-cultural procedures, including modifications, translation/back translations, pilot testing, and psychometric testing with classical test theory and Rasch analysis. In phase II, a cross-sectional study using cluster sampling was conducted among 249 eligible nurses who worked in a COVID-19-designed hospital in Shanghai, China. The influencing factors of COVID-19-associated stigma were analyzed through regression analysis.

Results

In phase I, the two-factor structure was verified by confirmatory factor analysis, which indicated a good model fit. The 15-item CSI-N-3 achieved Cronbach’sαof 0.71–0.84, and composite reliability of 0.83–0.91. The concurrent validity was established by significant association with self-reported physical, psychological, and social support levels (r = −0.18, −0.20, and −0.21,p < 0.01). In IRT analysis, the CSI-N-3 has ordered response thresholds, with the Item Reliability and Separation Index of 0.95 and 4.15, respectively, and the Person Reliability and Separation Index of 0.20 and 0.50, respectively. The infit and outfit mean squares for each item ranged from 0.39 to 1.57. In phase II, the mean score for the CSI-N-3 in Chinese nurses was 2.80 ± 3.73. Regression analysis showed that social support was the only factor affecting nurses’ COVID-19-associated stigma (standardized coefficientsβ = −0.21, 95% confidence interval: −0.73 ~ −0.19).

Conclusion

The instrument CSI-N-3 is equipped with rigorous psychometric properties that can be used to measure COVID-19-associated stigma during and after the COVID-19 pandemic among nurses. The use of this instrument may facilitate the evaluation of tailored stigma-reduction interventions.
The consequences of job crafting and engagement in the relationship between passion for work and individual performance of Portuguese workers
Authors: Vieira dos Santos Joana , Gomes Alexandra , Rebelo Diana Filipe Saraiva , Lopes Luis Felipe Dias , Moreira Martiele Gonçalves , da Silva Deoclécio Junior Cardoso
Published: August 2023

Introduction

This study sought to relate the two types of work passion, harmonious passion and obsessive passion, to the organizational consequences of engagement, job crafting, and perceived individual job performance. This study was based on the Employee Work Passion Appraisal model and conducted to evaluate possible statistical associations of the dualistic approach of passion used as an antecedent of positive and negative organizational outcomes (engagement, job crafting, and perceived individual job performance).

Methods

The data collection and analysis for this study were accomplished by a transversal and quantitative study design. A non-probabilistic method was used to select a convenience sample composed of 305 Portuguese workers and was collected online from March to October 2020. The proposed hypotheses were evaluated using partial structural equation models.

Results

Overall, the results supported the proposed hypotheses and showed that harmonious passion positively affected organizational outcomes, while obsessive passion negatively affected these outcomes; notably, our findings also revealed high individual performance, high obsessive passion, and consequently, a significant increase in structural labor resources, a significant decrease in harmful labor demands, and high absorption.

Discussion

The findings highlight the importance of distinguishing between harmonious passion and obsessive passion in understanding their consequences for organizational outcomes. Promoting harmonious passion while managing the potential negative effects of obsessive passion is crucial for enhancing positive job-related behaviors and performance. Future research should explore interventions and strategies to foster harmonious passion, mitigate the negative impacts of obsessive passion, and ultimately improve overall work engagement and performance.
Time course efficiency of MICE and HIIE on inhibitory control and HRV in adolescents with obesity and different cardiorespiratory fitness
Authors: Feng Zhan-Tao , Mao Zhi-Xiong , Liu Feng-Bo , Ou Xiao-Wei
Published: August 2023

Background

Adolescent obesity is associated with impaired inhibitory control. Acute exercise can improve executive function. However, due to the influence of exercise intensity, cognitive test timing, and cardiorespiratory fitness (CF) level, the most effective exercise program remains controversial.

Methods

The current study investigated the time-course effects of moderate-intensity continuous exercise (MICE) and high-intensity interval exercise (HIIE) on inhibitory control (Stroop) and task-related heart rate variability (HRV) in adolescents with different CF. A mixed experimental design of 2 CF levels (high CF, HCF; low CF, LCF) × 3 exercise methods (MICE, HIIE, CON) × 3 test timing (pre, post-0, post-20) was adopted. Heart rate variability (HRV) and Stroop task tests were conducted before exercise (pre), immediately after exercise (post-0), and 20 min after exercise (post-20).

Results

Individuals with HCF exhibited a positive decrease in Stroop response time immediately and 20 min after MICE and HIIE, compared to pretest response times (RT). Conversely, individuals with LCF showed a slight increase in Stroop task (RT) only immediately after HIIE. All individuals had a slight increase in ACC after MICE and HIIE compared to before exercise. In addition, compared with the control group, the time-domain index (the square root of the mean squared differences of successive NN intervals, RMSSD) of HRV was significantly decreased, the frequency-domain index (the absolute power of the Low-Frequency band/the absolute power of the High-Frequency band ratio, LF/HF) was significantly increased after MICE and HIIE, and the effect of HIIE on RMSSD and LF/HF was significantly greater than that of MICE.

Conclusion

The current study found that the acute effects of MICE and HIIE on inhibitory control in obese adolescents were influenced by the interaction of cognitive test timing and cardiorespiratory fitness. Individuals with high cardiorespiratory fitness performed better on the Stroop task than individuals with low cardiorespiratory fitness. The inhibitory control of HIIE in high-cardiorespiratory obese adolescents produced positive effects similar to those in MICE but more lasting, suggesting that HIIE is more beneficial for high-cardiorespiratory obese adolescents. MICE promoted inhibitory control in obese adolescents with low cardiorespiratory fitness, but HIIE impaired inhibitory control in obese adolescents with low cardiorespiratory fitness immediately after exercise, suggesting that low cardiopulmonary fitness obese adolescents may be suitable for MICE rather than HIIE exercise intervention. The shift from balanced HRV to sympathetic dominance after acute exercise reflects increased arousal levels and may be one of the underlying mechanisms by which acute exercise brings benefits to executive function.
Using deep learning to analyze the psychological effects of COVID-19
Authors: Almeqren Monira Abdulrahman , Almuqren Latifah , Alhayan Fatimah , Cristea Alexandra I. , Pennington Diane
Published: August 2023

Problem

Sentiment Analysis (SA) automates the classification of the sentiment of people’s attitudes, feelings or reviews employing natural language processing (NLP) and computational approaches. Deep learning has recently demonstrated remarkable success in the field of SA in many languages including Arabic. Arabic sentiment analysis, however, still has to be improved, due to the complexity of the Arabic language’s structure, the variety of dialects, and the lack of lexicons. Moreover, in Arabic, anxiety as a psychological sentiment has not been the target of much research.

Aim

This paper aims to provide solutions to one of the challenges of Arabic Sentiment Analysis (ASA) using a deep learning model focused on predicting the anxiety level during COVID-19 in Saudi Arabia.

Methods

A psychological scale to determine the level of anxiety was built and validated. It was then used to create the Arabic Psychological Lexicon (AraPh) containing 138 different dialectical Arabic words that express anxiety, which was used to annotate our corpus (Aranxiety). Aranxiety comprises 955 Arabic tweets representing the level of user anxiety during COVID-19. Bi-GRU model with word embedding was then applied to analyze the sentiment of the tweets and to determine the anxiety level.

Results

For SA, the applied model achieved 88% on accuracy, 89% on precision, 88% on recall, and 87% for F1. A majority of 77% of tweets presented no anxiety, whereas 17% represented mild anxiety and a mere 6% represented high anxiety.

Conclusion

The proposed model can be used by the Saudi Ministry of Health and members of the research community to formulate solutions to increase psychological resiliency among the Saudi population.
A qualitative study on people with opioid use disorders’ perspectives on smoking and smoking cessation interventions
Authors: Druckrey-Fiskaaen Karl Trygve , Furulund Einar , Madebo Tesfaye , Carlsen Siv-Elin Leirvåg , Fadnes Lars T. , Lid Torgeir Gilje ,   for ATLAS4LAR Study Group
Published: August 2023

Introduction

Smoking-related diseases are major contributors to disability and shorter life expectancy among opioid-dependent patients. Smoking prevalence is considerably higher for opioid-dependent persons than among the general population, and only a minority quit smoking in treatment settings. Studies show that pharmacological smoking cessation interventions have modest success rates. This study aimed to investigate patients’ receiving opioid agonist therapy perspectives on factors affecting behavior and decisions related to smoking cessation, and their experiences with smoking cessation.

Methods

This is a qualitative study using semi-structured individual interviews. The participants were asked, among others, to elaborate on the participants’ thoughts about smoking, previous attempts to quit tobacco use, and what could prompt a smoking cessation attempt. We analyzed the transcripts with systematic text condensation. The Standards for Reporting Qualitative Research and the Consolidated Criteria for Reporting Qualitative Research guidelines were followed. Opioid-dependent patients receiving opioid agonist therapy in outpatient clinics were invited to participate using a purposive sampling method. In total, fourteen individuals participated in this study.

Results

We identified six themes which were: (1) reflections on how smoking affected decisions, (2) smoking and its impact on physical and mental health, (3) the economy as a motivator to stop smoking, (4) emotions, desires, and habits related to smoking, (5) knowledge of smoking, smoking cessation, and quit attempts, and (6) social factors influencing the participants’ choices and activities. The participants were well informed about the consequences of smoking and had some knowledge and experience in quitting. The participants’ pulmonary health was an important motivational factor for change. Withdrawal symptoms, anxiety, and fear of using other substances discouraged several from attempting to quit smoking. In contrast, social support from partners and access to meaningful activities were considered important factors for success. Few reported being offered help from health professionals to make a smoking cessation attempt.

Discussion

Experiencing social support, being encouraged to quit smoking, and patients’ concerns for their physical health were important reasons for wanting to quit smoking. Smoking cessation interventions based on patient preferences and on the behavior change wheel may enable a higher success rate among patients receiving opioid agonist therapy.
The integration of behavioral health consultants within a state-wide psychiatry consultation program: a community case study
Authors: Tengelitsch Elizabeth , Hughes-Krieger Erin , LePlatte Dayna , Shaw-Johnston Samantha , Marcus Sheila
Published: August 2023

This paper describes the integration and role of masters-prepared behavioral health consultants (BHCs) within a state-wide psychiatry consultation program for children, adolescents, and perinatal women. Data from the Michigan Clinical Consultation and Care (MC3) program are reviewed, with attention to the role that BHCs play in the consultation process, integrated care, screening, and their dual roles with Community Mental Health Services Programs (CMHSPs) in Michigan. Approximately 82% of MC3 services are provided by the BHCs and involve resources or integrated care. BHCs play a role in managing provider consultations and connecting patients and providers to resources in the MC3 program.
Factors influencing nurse fatigue during COVID-19: regression vs. fuzzy-set qualitative comparative analysis
Authors: Zhang Huanyu , Liu Zhixin , Liu Junping , Feng Yajie , Zou Dandan , Zhao Juan , Wang Chen , Wang Nan , Liu Xinru , Wu Lin , Liu Zhaoyue , Liang Libo , Liu Jie
Published: August 2023

Background

Nurses during COVID-19 who face significant stress and high infection risk are prone to fatigue, affecting their health and quality of patient care. A cross- sectional study of 270 nurses who went to epidemic area to support anti-epidemic was carried out via online survey during the COVID-19 pandemic on November 2021.

Methods

A web-based cross-sectional survey of 270 nurses in China who traveled to Heihe City in Heilongjiang Province to combat the novel coronavirus epidemic. The researchers collected information on sociodemographic variables, anxiety, transition shock, professionalism, collaboration, hours of work per day, and fatigue. Regression and fuzzy-set Quality Comparative Analysis (fsQCA) evaluated the factors’ impact on the nurses’ fatigue.

Results

Regression analysis showed that the psychological variables significant for fatigue, transition shock (β = 0.687, p < 0.001) and anxiety (β = 0.757, p < 0.001) were positively associated with fatigue, professionalism (β = −0.216, p < 0.001) was negatively associated with fatigue, and among the work-related variables, cooperation (β = −0.262, p < 0.001) was negatively related to fatigue. FsQCA analysis showed that combined effects of work hours, anxiety, and nurses’ educational status caused most of the fatigue (raw coverage = 0.482, consistency = 0.896).

Conclusion

This study provides two main findings, the one is the greater transition shock experienced during COVID-19 in a new environment, low levels of professionalism, anxiety, and poor nursing teamwork situations lead anti-epidemic nurses to increased fatigue. Second, the fsQCA results showed that anxiety is sufficient for fatigue and that nurses’ educational status, daily working hours, and anxiety are the most effective combination of factors.
Facilitators and barriers to infant post-natal HIV prophylaxis, a qualitative sub-study of the PROMISE-EPI trial in Lusaka, Zambia
Authors: Mennecier Anaïs , Matoka Beauty , Wilfred-Tonga Maria Melany , Chunda-Liyoka Catherine , Mwiya Mwiya , Nagot Nicolas , Molès Jean-Pierre , Van de Perre Philippe , Kankasa Chipepo , King Rachel ,   for the PROMISE-EPI social science sub-study group
Published: August 2023

Background

Infant post-natal prophylaxis (PNP) is used to prevent HIV transmission through breastfeeding. The WHO edited recommendations but so far there is no consensus on the duration of prophylaxis and the type of drug used depends on national guidelines. In Zambia, the national recommendations include a three-drug prophylaxis, composed of a dispersible combined tablet of zidovudine (AZT) and lamivudine (3TC) and an oral suspension of nevirapine (NVP) for 12 weeks or until the mother’s viral load is <1,000 cp/mL. The PROMISE-EPI study, modified the PNP regimen to lamivudine only, initiated at 6 weeks and continued until 12 months to all HIV exposed uninfected infants of virally unsuppressed mothers. Our aim in this analysis was to identify barriers and facilitators to this extended PNP, the keystone toward an effective prevention.

Methods

Individual interviews and focus group discussion (FGD) were conducted with PROMISE-EPI participants who had received prophylaxis for their children from the national program up to 6 weeks and then lamivudine oral solution in PROMISE-EPI study. Health care providers and PROMISE-EPI staff were also interviewed. Sessions were recorded, transcribed verbatim and translated from local languages into English. An initial code-book was designed and then adapted on the basis of the emerging themes, to allow a descriptive thematic analysis.

Results

More barriers to PNP adherence were identified with triple drug prophylaxis than with lamivudine. These barriers were related to the formulation and bitter taste of AZT/3TC tablets. The ready to use formulation and sweet taste of lamivudine syrup were appreciated by mothers. Extended PNP proposed in the PROMISE-EPI study was globally well accepted and strategies were found to increase adherence. Adherence to lamivudine appeared to be better than the mothers’ adherence to their own antiretroviral therapy.

Conclusion

Accompanying mothers living with HIV and giving them the choice of the PNP to prevent transmission via breastfeeding (type of PNP regimen and extended PNP in non-adherent mothers), may be one of the keys to reducing the burden of pediatric HIV acquisition in low and middle income countries.
Global visibility of publications through Digital Object Identifiers
Authors: Turki Houcemeddine , Fraumann Grischa , Hadj Taieb Mohamed Ali , Ben Aouicha Mohamed
Published: August 2023

This brief research report analyzes the availability of Digital Object Identifiers (DOIs) worldwide, highlighting the dominance of large publishing houses and the need for unique persistent identifiers to increase the visibility of publications from developing countries. The study reveals that a considerable amount of publications from developing countries are excluded from the global flow of scientific information due to the absence of DOIs, emphasizing the need for alternative publishing models. The authors suggest that the availability of DOIs should receive more attention in scholarly communication and scientometrics, contributing to a necessary debate on DOIs relevant for librarians, publishers, and scientometricians.
Wastewater pipe defect rating model for pipe maintenance using natural language processing
Authors: Betgeri Sai Nethra , Vadyala Shashank Reddy , Matthews John C. , Lu Hongfang
Published: August 2023

Introduction

Closed-circuit video (CCTV) inspection has been the most popular technique for visually evaluating the interior status of pipelines in recent decades. Certified inspectors prepare the pipe repair document based on the CCTV inspection. The traditional manual method of assessing structural wastewater conditions from pipe repair documents takes a long time and is prone to human mistakes. The automatic identification of necessary texts has received little attention. Computer Vision based Machine Learning models failed to estimate structural damage because they are not entirely understood and have difficulty providing high data needs. Hence, they have problems providing physically consistent findings due to their high data needs. Currently, a very small curated annotated image and video data set with well-defined, precisely labeled categories to test Computer Vision based Machine Learning models.

Methods

This study provides a valuable method to determine the pipe defect rating of the pipe repair documents by developing an automated framework using Natural Language Processing (NLP) on very small, curated annotated images, video data, and more text data. The text used in this study is broken into grammatical units using NLP technologies. The next step in the analysis entails using words to find the frequency of pipe defects and then classify them into respective defect ratings for pipe maintenance.

Results and discussions

The proposed model achieved 95.0% accuracy, 94.9% recall, 95% specificity, 95.9% precision score, and 95.7% F1 score, showing the potential of the proposed model to be used in large-scale pipe repair documents for accurate and efficient pipeline failure detection to improve the quality of the pipeline.
Psychological risks experienced by interpreters in the domestic violence cases: a systematic review
Authors: Guo Ning , Muurlink Olav , Doyle Shane
Published: August 2023

Interpreters occupy a complex position in police interviews involving domestic violence cases—neutral but necessary parties to traumatic content. The following systematic review explores the relatively sparse scholarly literature on interpreters' psychological responses to being a party to domestic violence interviews in a policing context. This article aims to explore themes of relevant studies targeting interpreters' mental health in such cases, with nine articles emerging from a comprehensive search of eight databases supplemented with a Google Scholar search. Various themes involving interpreters emerged from the ensuing analysis, including intrinsic difficulties, misguided expectations, role requirements, psychological impacts, posttraumatic growth, coping strategies, and recommendations for future research and practice, with findings holding implications for interpreting in other traumatic domains.
Quantifying the ability of magnetohydrodynamic models to reproduce observed Birkeland current and auroral electrojet magnitudes
Authors: James Tre’Shunda , Lopez Ramon E. , Glocer Alex
Published: August 2023

Although global magnetohydrodynamic (MHD) models have increased in sophistication and are now at the forefront of modeling Space Weather, there is still no clear understanding of how well these models replicate the observed ionospheric current systems. Without a full understanding and treatment of the ionospheric current systems, global models will have significant shortcomings that will limit their use. In this study we focus on reproducing observed seasonal interhemispheric asymmetry in ionospheric currents using the Space Weather Modeling Framework (SWMF). We find that SWMF does reproduce the linear relationship between the electrojets and the FACs, despite the underestimation of the currents’ magnitudes. Quantitatively, we find that at best SWMF is only capturing approximately 60% of the observed current. We also investigate how varying F10.7 effects the ionospheric potential and currents during the summer and winter. We find that simulations ran with higher F10.7 result in lower ionospheric potentials. Additionally, we find that the models do not always replicate the expected behavior of the currents with varying F10.7. This work points to a needed improvement in ionospheric conductance models.
Factors influencing smallholder adoption of organic agriculture in Southeast geopolitical region of Nigeria
Authors: Ume Chukwuma Otum , Onah Ogochukwu Gabriella , Okpukpara Benjamin Chiedozie , Chukwuma-Ume Nice , Charles Ukwuaba Ikenna , Omeje Emmanuel Ejiofor , Chiemela Chinedum Jachinma , Chituru Ibe Justina , Orazulike Ozioma
Published: August 2023

Introduction

Organic Agriculture is considered one of the promising sustainable agricultural systems that can promote green economy measures, especially in developing countries where smallholder agriculture forms the backbone of the economy. With increasing awareness of the environmental and health benefits of organic foods, there has been an increasing number of studies assessing the demand side (determinants of consumers’ demand for organic products) within the global South. However, there is a dearth of research information on the supply side (e.g., factors influencing smallholder farmers’ willingness to engage in organic agriculture). To scale up organic agriculture among smallholder farmers, there is a need to explore and understand the factors influencing its adoption.

Methods

Using survey data from rural Nigeria, this paper applied Cragg’s double-hurdle model to assess the factors influencing smallholder farmers’ adoption of organic farming in the Southeast geopolitical region of Nigeria.

Results

The result showed that information about organic farming plays a major role in motivating farmers to adopt organic farming. Farmers that know what organic farming entails were found to be 1.31 percent more likely to adopt organic farming and to dedicate 1.23 percent more of their land to organic farming than the farmers that are less aware of organic farming. Similarly, an organized organic marketing structure and a premium on organic products were found to statistically improve the adoption of organic farming. The proportion of land dedicated to organic farming was found to be 2.15 percent more for farmers that received a premium for their organic produce than their counterparts that do not receive a premium for their produce.

Discussion

The findings demonstrated policy actions aimed at certification among smallholder farmers employing organic farming methods can facilitate system-wise organic farming in rural areas. However, the nature of such certification that will not jeopardize the agency of the farmers requires further investigation.
Evaluation of the eOSCE for testing clinical skills
Authors: Berendes Svenja , Schaper Elisabeth , Tipold Andrea , Wissing Sandra
Published: August 2023

The OSCE is a proven instrument for testing practical skills of students, not only in the (veterinary) medical field. At the University of Veterinary Medicine Hannover, Foundation (TiHo), students must complete a 10-week rotation in one of the university’s own clinics during the practical year in the 9th and 10th semesters in addition to other practical training. Within this framework, the first training for acquiring clinical practical skills with a formative examination (OSCE; Objective Structured Clinical Examination) was developed in the Clinical Skills Lab (CSL) in 2014. Since 2018, the TiHo has been the first veterinary medical training institution in Germany to conduct electronic OSCEs (eOSCEs). In the future, eOSCEs will also be introduced as a summative examination at the TiHo. For this reason, students in the practical year of the winter semester 2021/2022 and summer semester 2022 as well as former and current examiners were surveyed regarding their satisfaction with the eOSCE examination format as part of this study. The 175 analyzed questionnaires from students and 27 analyzed questionnaires from examiners showed a high level of satisfaction with the eOSCE overall, but at the same time indicated problems that should be ironed out before it is introduced as a summative examination in the state examination. In addition to its standardization and objectivity, the examination format also convinced with its quality-assurance review procedure and the direct feedback possibility with regard to the students’ performance.