bluuebunny/crossref_metadata_2025 huggingface dataset:
Associations between vitamin D levels and dietary patterns in patients with Hashimoto’s thyroiditis
Authors: Kaličanin Dean , Cvek Maja , Barić Ana , Škrabić Veselin , Punda Ante , Boraska Perica Vesna
Published: May 2023

Introduction

Vitamin D insufficiency is a global health problem affecting healthy and diseased individuals, including patients with Hashimoto’s thyroiditis (HT). Identifying dietary factors that may affect vitamin D levels and providing dietary guidelines accordingly can alleviate this problem. We therefore aimed to identify still unknown associations of dietary patterns, assessed through the Food Frequency Questionnaire (FFQ) with vitamin D blood levels.

Materials and methods

FFQ was collected from 459 patients from Croatian Biobank of Patients with Hashimoto’s thyroiditis (CROHT), while total 25(OH)D was measured from their stored serum samples. We performed linear regression analysis between vitamin D levels and weekly intake of 24 food groups in 459 patients with HT (ALL), and in two disease-severity groups (MILD and OVERT).

Results

The main results of our study are observations of: (1) an inverse association between vitamin D levels and coffee consumption (ALL: β = −0.433, p = 0.005; OVERT: β = −0.62, p = 0.008); (2) an inverse association between vitamin D levels and sweets consumption (ALL: β = −0.195, p = 0.034; OVERT: β = −0.431, p = 0.006); (3) positive association between vitamin D levels and vegetable consumption (ALL: β = 0.182, p = 0.019; OVERT, β = 0.311, p = 0.009). Importantly, effect sizes of all three associations were more prominent in HT patients with prolonged and more severe disease (OVERT).

Conclusion

Further research into the functional and causal relationships of the observed associations is important to provide guidance regarding coffee/sugar intake on vitamin D status. A well-balanced diet can help prevent vitamin D deficiency and improve the quality of life of patients with HT, especially those in later stages of disease characterized by greater metabolic imbalance.
Autophagy modulation in breast cancer utilizing nanomaterials and nanoparticles
Authors: Gharoonpour Azar , Simiyari Dorsa , Yousefzadeh Ali , Badragheh Fatemeh , Rahmati Marveh
Published: May 2023

Autophagy regenerates cellular nutrients, recycles metabolites, and maintains hemostasis through multistep signaling pathways, in conjunction with lysosomal degradation mechanisms. In tumor cells, autophagy has been shown to play a dual role as both tumor suppressor and tumor promoter, leading to the discovery of new therapeutic strategies for cancer. Therefore, regulation of autophagy is essential during cancer progression. In this regard, the use of nanoparticles (NPs) is a promising technique in the clinic to modulate autophagy pathways. Here, we summarized the importance of breast cancer worldwide, and we discussed its classification, current treatment strategies, and the strengths and weaknesses of available treatments. We have also described the application of NPs and nanocarriers (NCs) in breast cancer treatment and their capability to modulate autophagy. Then the advantages and disadvantaged of NPs in cancer therapy along with future applications will be disscussed. The purpose of this review is to provide up-to-date information on NPs used in breast cancer treatment and their impacts on autophagy pathways for researchers.
Interpretable deep learning survival predictive tool for small cell lung cancer
Authors: Zhang Dongrui , Lu Baohua , Liang Bowen , Li Bo , Wang Ziyu , Gu Meng , Jia Wei , Pan Yuanming
Published: May 2023

Background

Small cell lung cancer (SCLC) is an aggressive and almost universally lethal neoplasm. There is no accurate predictive method for its prognosis. Artificial intelligence deep learning may bring new hope.

Methods

By searching the Surveillance, Epidemiology, and End Results database (SEER), 21,093 patients’ clinical data were eventually included. Data were then divided into two groups (train dataset/test dataset). The train dataset (diagnosed in 2010–2014, N = 17,296) was utilized to conduct a deep learning survival model, validated by itself and the test dataset (diagnosed in 2015, N = 3,797) in parallel. According to clinical experience, age, sex, tumor site, T, N, M stage (7th American Joint Committee on Cancer TNM stage), tumor size, surgery, chemotherapy, radiotherapy, and history of malignancy were chosen as predictive clinical features. The C-index was the main indicator to evaluate model performance.

Results

The predictive model had a 0.7181 C-index (95% confidence intervals, CIs, 0.7174–0.7187) in the train dataset and a 0.7208 C-index (95% CIs, 0.7202–0.7215) in the test dataset. These indicated that it had a reliable predictive value on OS for SCLC, so it was then packaged as a Windows software which is free for doctors, researchers, and patients to use.

Conclusion

The interpretable deep learning survival predictive tool for small cell lung cancer developed by this study had a reliable predictive value on their overall survival. More biomarkers may help improve the prognostic predictive performance of small cell lung cancer.
The emerging roles of Hedgehog signaling in tumor immune microenvironment
Authors: Wang Juan , Cui Baiping , Li Xiaojie , Zhao Xinyue , Huang Taomin , Ding Xiaolei
Published: May 2023

The Hedgehog (Hh) signaling pathway is pervasively involved in human malignancies, making it an effective target for cancer treatment for decades. In addition to its direct role in regulating cancer cell attributes, recent work indicates that it has an immunoregulatory effect on tumor microenvironments. An integrated understanding of these actions of Hh signaling pathway in tumor cells and tumor microenvironments will pave the way for novel tumor treatments and further advances in anti-tumor immunotherapy. In this review, we discuss the most recent research about Hh signaling pathway transduction, with a particular emphasis on its role in modulating tumor immune/stroma cell phenotype and function, such as macrophage polarity, T cell response, and fibroblast activation, as well as their mutual interactions between tumor cells and nonneoplastic cells. We also summarize the recent advances in the development of Hh pathway inhibitors and nanoparticle formulation for Hh pathway modulation. We suggest that targeting Hh signaling effects on both tumor cells and tumor immune microenvironments could be more synergistic for cancer treatment.
Targeted treatment of solid tumors in pediatric precision oncology
Authors: Bertacca Ilaria , Pegoraro Francesco , Tondo Annalisa , Favre Claudio
Published: May 2023

The treatment of childhood solid cancer has markedly evolved in recent years following a refined molecular characterization and the introduction of novel targeted drugs. On one hand, larger sequencing studies have revealed a spectrum of mutations in pediatric tumors different from adults. On the other hand, specific mutations or immune dysregulated pathways have been targeted in preclinical and clinical studies, with heterogeneous results. Of note, the development of national platforms for tumor molecular profiling and, in less measure, for targeted treatment, has been essential in the process. However, many of the available molecules have been tested only in relapsed or refractory patients, and have proven poorly effective, at least in monotherapy. Our future approaches should certainly aim at improving the access to molecular characterization, to obtain a deeper picture of the distinctive phenotype of childhood cancer. In parallel, the implementation of access to novel drugs should not only be limited to basket or umbrella studies but also to larger, multi-drug international studies. In this paper we reviewed the molecular features and the main available therapeutic options in pediatric solid cancer, focusing on available targeted drugs and ongoing investigations, aiming at providing a useful tool to navigate the heterogeneity of this promising but complex field.
Case report: a case of multiple splenic abscesses in a child and literature review
Authors: Yang Yingchun , Liu Jian , Zheng Zebing , Tang Chengyan , Zhu Daiwei , Xia Xingrong , Huang Lu , Du Qing , Hao Yongxing , Liu Yuanmei , Jin Zhu
Published: May 2023

Splenic abscesses in children are very rare, and multiple splenic abscesses are rarer. These lesions are difficult to diagnose quickly because of their low incidence and the low specificity of the associated clinical and imaging findings. The treatment of splenic abscesses includes conservative treatment, percutaneous drainage, and splenectomy, but the selection criteria for treatment are still unclear. We present a case of a 13-year-old girl with multiple splenic abscesses. Her blood culture report was negative. We eventually confirmed the diagnosis by enhanced magnetic resonance imaging (MRI). The patient underwent a successful laparoscopic total splenectomy, and her symptoms were resolved thereafter.
Chuanxiong improves angiogenesis via the PI3K/AKT/Ras/MAPK pathway based on network pharmacology and DESI-MSI metabolomics
Authors: Cheng Xue-hao , Yang Xue-xin , Cui He-rong , Zhang Bei-bei , Chen Ke-dian , Yang Xiao-yun , Jiao Jing-yi , Du Ya-wen , Zhang Qi , Zheng Jia-xin , Xie Wei , Li Fei-fei , Lei Hai-min
Published: May 2023

Introduction: Chuanxiong, a traditional Chinese medicine, has been proved to treat a variety of cardiovascular and cerebrovascular diseases by promoting angiogenesis. However, the mechanisms of Chuanxiong’s pro-angiogenesis is currently unknown. This study aimed to uncover the effect and mechanisms of Chuanxiong promoting angiogenesis in vivo and in vitro.

Methods: First, potential targets were predicted by network pharmacology analysis, and PPI network was established and the pathways were enriched. Then, the chorioallantoic membrane test on quails was applied to assess the proangiogenic effects in vivo. As well, to evaluate the effects in vitro, real-time PCR, western blot analysis, the scratch test, and the tube formation experiment were used. Subsequently, the major metabolic pathways were analyzed using non-targeted metabolomics.

Results: As a result of network pharmacological analysis, 51 collective targets of Chuanxiong and angiogenesis were identified, which are mainly associated with PI3K/AKT/Ras/MAPK pathway. And the biological verification results showed that Chuanxiong could increase the vessel numbers and vessel area in qCAM models. Meanwhile, Chuanxiong contributed to HUVEC proliferation, tube formation, migration, by encouraging scratch healing rates and boosting tube branch points. In addition, the levels of VEGFR2, MAPK and PI3K were elevated compared to the control group. The western blot analysis also confirmed Chuanxiong could promote an increase in AKT, FOXO1 and Ras. Furtheremore, metabolomic results showed that the proangiogenic effect of Chuanxiong is associated with glycine, serine and threonine metabolism.

Discussion: In conclusion, this study clarified that Chuanxiong could promote angiogenesis in vivo and in vitro via regulating PI3K/AKT/Ras/MAPK pathway.
Pharmacological treatment and vaccines in monkeypox virus: a narrative review and bibliometric analysis
Authors: Shamim Muhammad Aaqib , Satapathy Prakisini , Padhi Bijaya Kumar , Veeramachaneni Sai Dutt , Akhtar Naushaba , Pradhan Anindita , Agrawal Abhimanyu , Dwivedi Pradeep , Mohanty Aroop , Pradhan Keerti Bhusan , Kabir Russell , Rabaan Ali A. , Alotaibi Jawaher , Al Ismail Zainab A. , Alsoliabi Zainab Ahmed , Al Fraij Ali , Sah Ranjit , Rodriguez-Morales Alfonso J.
Published: May 2023

Mpox (earlier known as monkeypox) virus infection is a recognized public health emergency. There has been little research on the treatment options. This article reviews the specific drugs used to treat mpox virus infection and the vaccines used here. Instead of focusing on the mechanistic basis, this review narrates the practical, real-life experiences of individual patients of mpox virus disease being administered these medicines. We conducted a bibliometric analysis on the treatment of the mpox virus using data from several databases like PubMed, Scopus, and Embase. The research on this topic has grown tremendously recently but it is highly concentrated in a few countries. Cidofovir is the most studied drug. This is because it is indicated and also used off-label for several conditions. The drugs used for mpox virus infection include tecovirimat, cidofovir, brincidofovir, vaccinia immune globulin, and trifluridine. Tecovirimat is used most frequently. It is a promising option in progressive mpox disease in terms of both efficacy and safety. Brincidofovir has been associated with treatment discontinuation due to elevated hepatic enzymes. Cidofovir is also not the preferred drug, often used because of the unavailability of tecovirimat. Trifluridine is used topically as an add-on agent along with tecovirimat for ocular manifestations of mpox virus disease. No study reports individual patient data for vaccinia immune globulin. Though no vaccine is currently approved for mpox virus infection, ACAM 2000 and JYNNEOS are the vaccines being mainly considered. ACAM 2000 is capable of replicating and may cause severe adverse reactions. It is used when JYNNEOS is contraindicated. Several drugs and vaccines are under development and have been discussed alongside pragmatic aspects of mpox virus treatment and prevention. Further studies can provide more insight into the safety and efficacy of Tecovirimat in actively progressing mpox virus disease.
The price and affordability of essential medicines, progress and regional distribution in China: a systematic review
Authors: Liu Zheng , Zou Kun , Liu Dan , Zhang Miao , Shi Yuqing , Chen Zhe , Lang Bingchen , Cheng Xiao , Li Hailong , Zeng Linan , Tang Yong , Zhao Shaoyang , Choonara Imti , Jiang Yongmu , Zhang Lingli
Published: May 2023

Background: Essential medicine is a vital component to assure universal access to quality healthcare. However, the trend of affordability to essential medicines in China and its regional differences were not yet fully understood. This study aimed to systematically evaluate the price and affordability of essential medicines, their progress, and regional distribution in China in the last decades.

Methods: We searched seven databases and three websites for potentially eligible studies from inception until March 2022. Studies on the price and affordability of essential medicines investigated in China were included. Median and interquartile range (IQR) was used to describe the price and affordability of essential medicines, and compared in three periods, before 2009, from 2009 to 2014, and from 2015 to 2019. Subgroup analysis was performed to examine the price and affordability by regions, health facilities, and ATC categories of medicines. The study was registered with PROSPERO (CRD42022310173).

Results: A total of 65 studies including 11,639 health facilities investigated between 2006 and 2019 were included in this review. Median price ratios (MPR) and affordability of essential medicines were reported in 44 studies and 50 studies, respectively. The median MPRs of essential medicines in China was 1.59 (IQR: 5.39), with a tendency to rise first and then fall from 2006 to 2019. And the median affordability was equal to 0.88 (IQR: 2.58) days’ wage of the lowest paid unskilled government worker, but steadily rose from 2006 to 2019. Subgroup analysis showed that the affordability in the western region (1.40, IQR: 2.88), urban area (0.95, IQR: 2.80), private sector (0.90, IQR: 2.30), of originator brands (OB) (2.90, IQR: 6.68), and antineoplastic and immunomodulating agents (5.68, IQR: 56.47) were worse than their counterparts.

Conclusion: The prices of essential medicine were higher than international level, the overall affordability of essential medicines in China is acceptable but poor in the western region, for OB drugs and anti-cancer medicines. Further national essential medicine policies are needed to reduce regional disparities and improve the affordability of expensive drugs.

Systematic Review Registration:https://www.crd.york.ac.uk/PROSPERO/#recordDetails
Efficacy of a paper-based interleukin-6 test strip combined with a spectrum-based optical reader for sequential monitoring and early recognition of respiratory failure in elderly pneumonia—a pilot study
Authors: Chen Cheng-Han , Fu Yi-Chen , Lee Yi-Tzu , Hsieh Kai-Sheng , Shen Ching-Fen , Cheng Chao-Min
Published: May 2023

Introduction: Community-acquired pneumonia (CAP) is lethal in elderly individuals who are more vulnerable to respiratory failure and require more emergency ventilation support than younger individuals. Interleukin-6 (IL-6) plays a crucial role and has predictive value in CAP; high serum IL-6 concentrations in adults are associated with high respiratory failure and mortality rates. Early detection of IL-6 concentrations can facilitate the timely stratification of patients at risk of acute respiratory failure. However, conventional enzyme-linked immunosorbent assay (ELISA) IL-6 measurement is laborious and time-consuming.

Methods: The IL-6 rapid diagnostic system combined with a lateral flow immunoassay-based (LFA-based) IL-6 test strip and a spectrum-based optical reader is a novel tool developed for rapid and sequential bedside measurements of serum IL-6 concentrations. Here, we evaluated the correlation between the IL-6 rapid diagnostic system and the ELISA and the efficacy of the system in stratifying high-risk elderly patients with CAP. Thirty-six elderly patients (median age: 86.5 years; range: 65–97 years) with CAP were enrolled. CAP diagnosis was established based on the Infectious Diseases Society of America (IDSA) criteria. The severity of pneumonia was assessed using the CURB-65 score and Pneumonia Severity Index (PSI). IL-6 concentration was measured twice within 24 h of admission.

Results: The primary endpoint variable was respiratory failure requiring invasive mechanical or non-invasive ventilation support after admission. IL-6 rapid diagnostic readouts correlated with ELISA results (p < 0.0001) for 30 samples. Patients were predominantly male and bedridden (69.4%). Ten patients (27.7%) experienced respiratory failure during admission, and five (13.9%) died of pneumonia. Respiratory failure was associated with a higher mortality rate (p = 0.015). Decreased serum IL-6 concentration within 24 h after admission indicated a lower risk of developing respiratory failure in the later admission course (Receiver Operating Characteristic [ROC] curve = 0.696).

Conclusion: Sequential IL-6 measurements with the IL-6 rapid diagnostic system might be useful in early clinical risk assessment and severity stratification of elderly patients with pneumonia. This system is a potential point-of-care diagnostic device for sequential serum IL-6 measurements that can be applied in variable healthcare systems.
An ultrasound assisted, ionic liquid-molecular iodine synergy driven efficient green synthesis of pyrrolobenzodiazepine-triazole hybrids as potential anticancer agents
Authors: Saquib Mohammad , Ahamad Shakir , Khan Mohammad Faheem , Khan Mohammad Imran , Hussain Mohd Kamil
Published: May 2023

Herein, we report an efficient and eco-friendly, ultrasound assisted synthetic strategy for the construction of diversified pyrrolobenzodiazepine-triazole hybrids, which are potentially pharmaceutically important scaffolds, via a domino reaction involving intermolecular electrophilic substitution followed by intramolecular Huisgen 1,3-dipolar azide-alkyne cycloaddition. The USP of the reported protocol is the use of benign and inexpensive, recyclable molecular iodine-ionic liquid synergistic catalytic system cum reaction media for achieving the synthesis. The other salient features of this method are the use of mild reaction conditions, high yield and atom economy, operational simplicity, broad substrate scope and easy workup and purification. All the synthesized compounds were evaluated for in vitro anti-proliferative activity against various cancer cell lines. From among the synthesized title compounds, 9,9-dimethyl-8-phenyl-9H-benzo [b]pyrrolo [1,2-d][1,2,3]triazolo[5,1-g][1,4]diazepine (7) was found most to be the most active compound exhibiting IC50 value of 6.60, 5.45, 7.85, 11.21, 12.24, 10.12, and 11.32 µM against MCF-7, MDA-MB-231, HeLa, SKOV-3, A549, HCT-116 and DLD-1 cell lines, respectively. Further the compounds were found to be non-toxic against normal human embryonic kidney (HEK-293) cell line.
QSAR and molecular docking studies on designing potent inhibitors of SARS-CoVs main protease
Authors: Song Fucheng , Sun Haoyang , Ma Xiaofang , Wang Wei , Luan Mingyuan , Zhai Honglin , Su Guanmin , Liu Yantao
Published: May 2023

Background: Severe acute respiratory syndrome coronavirus (SARS-CoVs) have emerged as a global health threat, which had caused a high rate of mortality. There is an urgent need to find effective drugs against these viruses.

Objective: This study aims to predict the activity of unsymmetrical aromatic disulfides by constructing a QSAR model, and to design new compounds according to the structural and physicochemical attributes responsible for higher activity towards SARS-CoVs main protease.

Methods: All molecules were constructed in ChemOffice software and molecular descriptors were calculated by CODESSA software. A regression-based linear heuristic method was established by changing descriptors datasets and calculating predicted IC50 values of compounds. Then, some new compounds were designed according to molecular descriptors from the heuristic method model. The compounds with predicted values smaller than a set point were constantly screened out. Finally, the properties analysis and molecular docking were conducted to further understand the structure-activity relationships of these finalized compounds.

Results: The heuristic method explored the various descriptors responsible for bioactivity and gained the best linear model with R2 0.87. The success of the model fully passed the testing set validation, proving that the model has both high statistical significance and excellent predictive ability. A total of 5 compounds with ideal predicted IC50 were found from the 96 newly designed derivatives and their properties analyze was carried out. Molecular docking experiments were conducted for the optimal compound 31a, which has the best compound activity with good target protein binding capability.

Conclusion: The heuristic method was quite reliable for predicting IC50 values of unsymmetrical aromatic disulfides. The present research provides meaningful guidance for further exploration of the highly active inhibitors for SARS-CoVs.
Development, growth and metabolic effects in stage IV lobster (Homarus americanus) following chronic exposure to sediments spiked with commercial formulations of deltamethrin and permethrin
Authors: Daoud Dounia , Greenwood Spencer J. , de Jourdan Benjamin , Asnicar Davide , Taylor Laura J.
Published: May 2023

Coastal and estuarine ecosystems are environments heavily influenced by natural and anthropogenic activities. Chemicals used for pest control in agriculture and aquaculture may accumulate in natural coastal environments. Pyrethroids are common pesticides that are used on crops as well as applied to aquaculture pens and then may disperse in the surrounding ocean once treatment is complete. This study observed the sublethal effects of two pyrethroids, permethrin and deltamethrin (within commercially available formulations), on post-larval stage IV American lobster (Homarus americanus) using growth parameters and metabolic rate as indicators. Observed effects on growth parameters were a decrease in size increment and specific growth rate as well as an increase in intermolt period in stage IV lobsters exposed to 100 μg/kg permethrin. No significant differences were found for intermolt period, size increment, or specific growth rate in deltamethrin-exposed stage IV lobsters. Metabolic rates were not significantly different between deltamethrin-exposed and control lobsters, however, this sublethal effect warrants further investigation. Collectively, these results represent the first examination of the sublethal effects of exposure to pyrethroids formulations in post-larval lobsters, highlighting the potential for effects on non-target marine organisms.
Optogenetic manipulation of cardiac repolarization gradients using sub-threshold illumination
Authors: Marchal Gerard A. , Biasci Valentina , Loew Leslie M. , Biggeri Annibale , Campione Marina , Sacconi Leonardo
Published: May 2023

Introduction: Mechanisms underlying cardiac arrhythmias are typically driven by abnormalities in cardiac conduction and/or heterogeneities in repolarization time (RT) across the heart. While conduction slowing can be caused by either electrophysiological defects or physical blockade in cardiac tissue, RT heterogeneities are mainly related to action potential (AP) prolongation or abbreviation in specific areas of the heart. Importantly, the size of the area with altered RT and the difference between the short RT and long RT (RT gradient) have been identified as critical determinators of arrhythmogenicity. However, current experimental methods for manipulating RT gradient rely on the use of ion channel inhibitors, which lack spatial and temporal specificity and are commonly only partially reversible. Therefore, the conditions facilitating sustained arrhythmia upon the presence of RT heterogeneities and/or defects in cardiac conduction remain to be elucidated.

Methods: We here employ an approach based on optogenetic stimulation in a low-intensity fashion (sub-threshold illumination), to selectively manipulate cardiac electrical activity in defined areas of the heart.

Results: As previously described, subthreshold illumination is a robust tool able to prolong action potentials (AP), decrease upstroke velocity as well as slow cardiac conduction, in a fully reversible manner. By applying a patterned sub-threshold illumination in intact mouse hearts constitutively expressing the light-gated ion channel channelrhodopsin-2 (ChR2), we optically manipulate RT gradients and cardiac conduction across the heart in a spatially selective manner. Moreover, in a proof-of-concept assessment we found that in the presence of patterned sub-threshold illumination, mouse hearts were more susceptible to arrhythmias. Hence, this optogenetic-based approach may be able to mimic conduction slowing and RT heterogeneities present in pathophysiological conditions.
Novel candidate genes for lignin structure identified through genome-wide association study of naturally varying Populus trichocarpa
Authors: Bryant Nathan , Zhang Jin , Feng Kai , Shu Mengjun , Ployet Raphael , Chen Jin-Gui , Muchero Wellington , Yoo Chang Geun , Tschaplinski Timothy J. , Pu Yunqiao , Ragauskas Arthur J.
Published: May 2023

Populus is a promising lignocellulosic feedstock for biofuels and bioproducts. However, the cell wall biopolymer lignin is a major barrier in conversion of biomass to biofuels. To investigate the variability and underlying genetic basis of the complex structure of lignin, a population of 409 three-year-old, naturally varying Populus trichocarpa genotypes were characterized by heteronuclear single quantum coherence (HSQC) nuclear magnetic resonance (NMR). A subsequent genome-wide association study (GWAS) was conducted using approximately 8.3 million single nucleotide polymorphisms (SNPs), which identified 756 genes that were significantly associated (−log10(p-value)>6) with at least one lignin phenotype. Several promising candidate genes were identified, many of which have not previously been reported to be associated with lignin or cell wall biosynthesis. These results provide a resource for gaining insights into the molecular mechanisms of lignin biosynthesis and new targets for future genetic improvement in poplar.
Learning digital skills online: empowering older adults through one-to-one, online digital training provision
Authors: Wilson-Menzfeld Gemma , Gates Jessica Raven , Moreland Mary , Raw Helen , Johnson Amy
Published: May 2023

Introduction

Digital exclusion, through lack of access and poor digital skills, can have an adverse impact on daily living. Not only did the COVID-19 pandemic dramatically impact the necessity of technology in our daily lives, but also reduced the availability of digital skills programmes. This study aimed to explore perceived facilitators and barriers of a digital skills programme that was delivered remotely (online) and to reflect on this form of training as a possible alternative to traditional face-to-face models.

Methods

Individual interviews were carried out with programme participants and the programme instructor.

Results

Two themes were generated from this data: (a) Creating a unique learning environment; and (b) Encouraging further learning.

Discussion

Barriers to digital delivery were evident, however, the individual and personalized delivery empowered participants within their own learning, supporting individuals to learn skills relevant to them and to continue their digital learning journey.
Facilitating writing performance of EFL learners via virtual reality: Immersion, presence, embodiment
Authors: Feng Baoxin , Ng Lee Luan
Published: May 2023

Immersive virtual reality (IVR) technology is being used to help EFL learners overcome their difficulties with their language skills, especially writing skills. Past studies showed that the instrument that provides immersion will positively affect learners’ written performance. In line with that, this study aims to investigate the vocabulary usage and writing performance of learners who learn vocabulary via IVR versus those who learn from conventional classroom-based instruction. A total of 144 Chinese-speaking English learners, who were divided into experimental group (N = 69) and control group (N = 75), experienced the treatments related to the writing tasks. The results show that the learners in the experimental group wrote more informatively and presented more details. Comparative analysis revealed that learners using IVR performed significantly better on target word usage, lexical density, distribution richness, and completion of task than those in the conventional classroom. Based on the results, it would seem that the positive transfer of learning may be related to the experience of exploring in a virtual environment. The immersion of IVR and the sense of presence and embodiment enable learners to benefit from their immersive experience which aids the use of vocabulary in their writing. The implication of the study demonstrated the impact of the technological factors, whereby what causes the improvement in writing performance is due to the learners’ virtual experience and their sense of embodiment.
Working-from-home persistently influences sleep and physical activity 2 years after the Covid-19 pandemic onset: a longitudinal sleep tracker and electronic diary-based study
Authors: Massar Stijn A. A. , Ong Ju Lynn , Lau TeYang , Ng Ben K. L. , Chan Lit Fai , Koek Daphne , Cheong Karen , Chee Michael W. L.
Published: May 2023

Objective

Working from home (WFH) has become common place since the Covid-19 pandemic. Early studies observed population-level shifts in sleep patterns (later and longer sleep) and physical activity (reduced PA), during home confinement. Other studies found these changes to depend on the proportion of days that individuals WFH (vs. work from office; WFO). Here, we examined the effects of WFH on sleep and activity patterns in the transition to normality during the later stages of the Covid-19 pandemic (Aug 2021–Jan 2022).

Methods

Two-hundred and twenty-five working adults enrolled in a public health study were followed for 22  weeks. Sleep and activity data were collected with a consumer fitness tracker (Fitbit Versa 2). Over three 2-week periods (Phase 1/week 1–2: August 16–29, 2021; Phase 2/week 11–12: October 25–November 7, 2021; Phase 3/week 21–22: January 3–16, 2022), participants provided daily Fitbit sleep and activity records. Additionally, they completed daily phone-based ecological momentary assessment (EMA), providing ratings of sleep quality, wellbeing (mood, stress, motivation), and information on daily work arrangements (WFH, WFO, no work). Work arrangement data were used to examine the effects of WFH vs. WFO on sleep, activity, and wellbeing.

Results

The proportion of WFH vs. WFO days fluctuated over the three measurement periods, mirroring evolving Covid restrictions. Across all three measurement periods WFH days were robustly associated with later bedtimes (+14.7 min), later wake times (+42.3 min), and longer Total Sleep Time (+20.2 min), compared to WFO days. Sleep efficiency was not affected. WFH was further associated with lower daily step count than WFO (−2,471 steps/day). WFH was associated with higher wellbeing ratings compared to WFO for those participants who had no children. However, for participants with children, these differences were not present.

Conclusion

Pandemic-initiated changes in sleep and physical activity were sustained during the later stage of the pandemic. These changes could have longer term effects, and conscious effort is encouraged to harness the benefits (i.e., longer sleep), and mitigate the pitfalls (i.e., less physical activity). These findings are relevant for public health as hybrid WHF is likely to persist in a post-pandemic world.
The use of artificial intelligence in a military context: development of the attitudes toward AI in defense (AAID) scale
Authors: Hadlington Lee , Binder Jens , Gardner Sarah , Karanika-Murray Maria , Knight Sarah
Published: May 2023

Introduction

The use of artificial intelligence (AI) for national defense is a matter of high societal significance and ongoing public discourse, but very little is known about public acceptance of AI in defense contexts. Currently, there is no reliable and valid measure of attitudes towards AI in defense, and more general attitudinal measures on AI use are unlikely to capture relevant perceptions and opinions. A measure was therefore developed for the assessment of Attitudes towards AI in Defense (AAID), and this work presents the initial validation of this scale.

Methods

A total of 1,590 participants (aged 19-75, M = 45.7, SD = 16.1) completed a self-report questionnaire which included an initial item pool of 29 attitudinal statements related to the use of AI in defense. An additional general attitude towards AI scale was also included to assess the concurrently validity of the AAID scale. The AAID underwent initial statistical validation via exploratory factor analysis and confirmatory factor analysis to test the underlying structure of the newly developed scale.

Results

Items reduction and exploratory factor analysis resulted in a final scale consisting of 15 items. A final two factor solution explained 42.52% of the variance (Factor 1 = 22.35%, Factor 2 = 20.17%). Factor 1 was termed “Positive outcomes” and reflected the potential and anticipated consequences of implementing AI in defense. Factor 2 was termed “Negative Outcomes” and reflected the potential negative outcomes for AI in defense. The scale also exhibited acceptable internal reliability and current validity.

Discussion

The newly developed AAID presents a new measurement tool which has the capacity to assess current attitudes towards AI in defense. Such work is essential if further developments in AI in defense are to continue with the support of the public. However, the work also notes that there are some key concerns and barriers that could block further developments in the area, with further work needed to explore how such anxieties are driven by narratives related to the topic.
The effect of partitioned framing vs. all-inclusive framing of donation amount on prosocial behavior: focus on the moderation effect of psychological characteristics
Authors: Lee Eun Young , Chu Kyounghee
Published: May 2023

Despite numerous studies on individual charitable donations and cause-related marketing have been conducted, the framing of the donation amount has not been studied. This research suggests that people's intention to donate to charity differs depending on whether the donation amount is framed as all-inclusive or partitioned. The main effect of partitioned framing was moderated by individual differences in the need for cognition and regulatory focus. The results of our research are threefold. First, people responded more positively to engage in prosocial behavior in the partitioned donation amount condition than in the all-inclusive condition, even when the total amounts were the same. Second, the framing effect of the donation amount differed according to the need for cognition. Individuals with a high need for cognition (NFC) had a higher intention to donate in the partitioned donation amount condition than in the all-inclusive condition, while individuals with low NFC did not show differences in either condition. Third, the framing effect of the donation amount differed according to regulatory focus. Prevention-focused individuals were more willing to donate in the partitioned condition than in the all-inclusive condition, while promotion-focused individuals did not show differences in either condition. In addition, the interaction of framing and regulatory focus on donation intention was mediated by the perceived authenticity of the donation organization. This research has several academic and practical implications for effective corporate social responsibility activities.
Retirement from elite sport and self-esteem: a longitudinal study over 12  years
Authors: Schmid Jürg , Conzelmann Achim , Engel Robertino , Kuettel Andreas , Schmid Michael J.
Published: May 2023

This study examined the complex associations between athletic retirement and self-esteem among former elite athletes. With reference to theoretical and empirical work on the quality of the transition out of sport, information was collected from 290 (junior) elite athletes in a retrospective-prospective design: at the first measurement, active athletes assessed satisfaction with their sporting career, athletic identity, and self-esteem. At the second measurement (12  years later), the now former athletes rated transition characteristics of their career ending, sporting career success, emotional reactions to career termination, extent of necessary adjustment required following athletic retirement, duration and quality of adjustment, and self-esteem. Structural equation modelling revealed that neither sporting career success nor sporting career satisfaction had a direct effect on adjustment. However, athletic identity and retirement planning predicted the extent of adjustment, which in turn predicted the duration and quality of adjustment, and ultimately self-esteem. Voluntariness, timeliness, and perceptions of gain predicted emotional reactions towards career termination, which also predicted the duration of adjustment. Extent of adjustment and emotional reactions mediated between preconditions of career termination and transition characteristics and self-esteem. While self-esteem after career termination was predominantly predicted by self-esteem 12  years earlier, perceived quality of adjustment to career termination had a significant effect on self-esteem in the post-athletic career. These results complement existing literature illustrating that athletic retirement is a complex and dynamic process and the quality of this transition has a small, but still noteworthy effect on self-esteem, a central construct for well-being.
Suicidal ideation, attempt and associated factor among secondary school students in Harari regional state, Eastern Ethiopia. A multi-center cross-sectional study
Authors: Bete Tilahun , Birhanu Abdi , Negash Abraham , Yadeta Elias , Lemi Magarsa , Balcha Tegenu , Sertsu Addisu , Birhanu Bekelu , Nigussie Shambel , Gemechu Kabtamu , Meseret Fentahun , Mohammed Hanan , Alemu Addisu , Dechasa Deribe Bekele , Asmerom Haftu , Arkew Mesay , Shewangizaw Abayneh , Mohamed Ahmed , Ahemed Fila , Wodaje Dawud , Dessie Yadeta , Debella Adera , Getachew Tamirat , Nigussie Kabtamu , Eyeberu Addis
Published: May 2023

Background

Suicide is a major public health issue across the globe. It is the second leading cause of death in adolescents. Even though the rate of suicide has increased, no study has been conducted to investigate the determinants of suicide in the study area. Therefore, this study aimed to assess the magnitude of suicidal ideation, suicide attempts, and its associated factors among secondary school students in the Harari regional state of Eastern Ethiopia.

Methods

An institutional-based cross-sectional study was conducted among randomly selected 1,666 secondary school students. A structured-self-administered questionnaire was used for data collection. The WHO Composite International Diagnostic Interview (CIDI) was used to assess suicidal ideation and suicide attempts. The Depression Anxiety and Stress Scale (DASS) was also used to assess depression, anxiety, and stress. Data were entered into EpiData version 3.1 and exported to Stata version 14.0 for the analysis. A logistic regression analysis was performed to determine the association between the outcome and independent variables and the statistical significance was declared at a p-value of < 0.05.

Result

The overall magnitude of suicidal ideation and attempts was 13.82% at 95% confidence interval (CI): 12.16–15.66 and 7.61% at 95% CI: 6.37–9.07, respectively. Suicidal ideations and suicide attempts were significantly associated with undergoing depressive symptoms (adjusted odds ratio [AOR]: 1.54; 95% CI: 1.08–2.19 and AOR: 2.37; 95% CI: 1.46–3.86, respectively), experiencing anxiety symptoms (AOR: 1.80; 95% CI: 1.25–2.59 and AOR: 1.89; 95% CI: 2.14–10.65, respectively), being exposed to sexual violence (AOR: 3.36; 95% CI: 1.65–6.84), and having a family history of suicidal attempts (AOR: 2.12; 95% CI: 1.21–3.69 and AOR: 4.74; 95% CI: 2.14–10.65, respectively), whereas living in a rural residence (AOR: 1.65 95%, CI: 1.08–2.55) was significantly associated only with suicide attempts.

Conclusion and recommendations

Nearly one in six secondary school students had both suicidal ideation and attempted to take their own life. Suicide is one of the psychiatric emergencies that need immediate action. Therefore, the concerned body from either a governmental or a non-governmental organization should work in setting strategies to minimize sexual violence as well as depressive and anxiety symptoms.
The five self-harm behavior groupings measure: empirical and thematic data from a novel comprehensive self-harm assessment
Authors: Liljedahl Sophie I. , Daukantaitė Daiva , Kleindienst Nikolaus , Wångby-Lundh Margit , Westling Sofie
Published: May 2023

Introduction

The Five Self-Harm Behavior Groupings Measure (5S-HM) is a novel assessment that evaluates behaviours which may go undetected by existing measures. Self-harm is formulated across directness and lethality spectra, including under-studied behaviors such as indirect self-harm, harmful self-neglect and sexual self-harm. Aims of the study were to: (1) empirically evaluate the 5S-HM; (2) to determine whether the 5S-HM generates relevant new information with respect to the forms and functions given by participants for self-harm within a clinical sample; (3) to test the utility and novel contributions of the Unified Model of Self-Harm and the 5S-HM by extension.

Methods

Data were collected from N = 199 individuals (Mage = 29.98, SD = 8.41, 86.4% female), receiving specialized evidence-based treatments for self-harm, borderline personality disorder or eating disorders. Construct validity was determined via Spearman correlations, and internal consistency was established from Cronbach’s alpha. Inductive thematic analysis was used to analyze and interpret qualitative data on reasons, forms and functions participants reported in relation to self-harm following Braun and Clarke’s analytic guidelines. Thematic mapping was used to summarize qualitative data.

Results

Test-retest reliability on a subsample of n = 24, tested 14 days after Time 1 was supported by a good intraclass correlation (0.68). Internal consistency (Cronbach’s alpha = 0.75) was acceptable to good, as was construct validity comparing the 5S-HM total score to two validated self-harm measures (rho = 0.40, p < 0.01; rho = 0.26, p < 0.01). A thematic map depicting antecedents and consequences of self-harm over time suggests that self-harm is initiated by negative emotional states and self-intolerance. Novel findings in relation to sexual self-harm indicated that reasons for these behaviors were either to improve or worsen one’s situation through being hurt by someone else.

Discussion

The empirical analyses of the 5S-HM demonstrate that it is a robust measure for use in clinical and research settings. Thematic analyses proposed explanations for why self-harm behaviors are initiated and how they are reinforced over time. Sexual self-harm in particular requires further careful study.
Health-related quality of life in Chinese medical staff: a latent profile analysis
Authors: Huang Jing , Zhu Jianing , Ruan Yifan , Zhou Haitao , Guo Wenjian , Dong Aishu
Published: May 2023

Objective

To investigate subgroups of health-related quality of life (HRQoL) in the Chinese medical staff and identify the demographic factors associated with these profiles.

Methods

574 Chinese medical staff were surveyed online. HRQoL was measured by using the 36-Item Short Form Health Survey, Version 2. Latent profile analysis (LPA) was used to identify the profiles of HRQoL. The associations between HRQoL profiles and covariates were assessed using multinomial logistic regression.

Results

Three HRQoL profiles were developed: low HRQoL at 15.6%, moderate HRQoL at 46.9%, and high HRQoL at 37.6%. Multinomial logistic regression showed night shift times, aerobic exercise conditioning, and personality type significantly predicted the profile membership.

Conclusion

Our findings develop earlier approaches that only used total scores to evaluate this group’s HRQoL and help them with tailored interventions to promote better HRQoL.
Proactive and reactive engagement of artificial intelligence methods for education: a review
Authors: Mallik Sruti , Gangopadhyay Ahana
Published: May 2023

The education sector has benefited enormously through integrating digital technology driven tools and platforms. In recent years, artificial intelligence based methods are being considered as the next generation of technology that can enhance the experience of education for students, teachers, and administrative staff alike. The concurrent boom of necessary infrastructure, digitized data and general social awareness has propelled these efforts further. In this review article, we investigate how artificial intelligence, machine learning, and deep learning methods are being utilized to support the education process. We do this through the lens of a novel categorization approach. We consider the involvement of AI-driven methods in the education process in its entirety—from students admissions, course scheduling, and content generation in the proactive planning phase to knowledge delivery, performance assessment, and outcome prediction in the reactive execution phase. We outline and analyze the major research directions under proactive and reactive engagement of AI in education using a representative group of 195 original research articles published in the past two decades, i.e., 2003–2022. We discuss the paradigm shifts in the solution approaches proposed, particularly with respect to the choice of data and algorithms used over this time. We further discuss how the COVID-19 pandemic influenced this field of active development and the existing infrastructural challenges and ethical concerns pertaining to global adoption of artificial intelligence for education.