bluuebunny/crossref_metadata_2025_split huggingface dataset:
LWSleepNet: A lightweight attention-based deep learning model for sleep staging with singlechannel EEG
Authors: Yang Chenguang , Li Baozhu , Li Yamei , He Yixuan , Zhang Yuan 
Published: July 2023

Introduction Sleep is vital to human health, and sleep staging is an essential process in sleep assessment. However, manual classification is an inefficient task. Along with the increased demand for portable sleep quality detection devices, lightweight automatic sleep staging needs to be developed. Methods This study proposes a novel attention-based lightweight deep learning model called LWSleepNet. A depthwise separable multi-resolution convolutional neural network is introduced to analyze the input feature map and captures features at multiple frequencies using two different sized convolutional kernels. The temporal feature extraction module divides the input into patches and feeds them into a multi-head attention block to extract time-dependent information from sleep recordings. The model's convolution operations are replaced with depthwise separable convolutions to minimize its number of parameters and computational cost. The model's performance on two public datasets (Sleep-EDF-20 and Sleep-EDF-78) was evaluated and compared with those of previous studies. Then, an ablation study and sensitivity analysis were performed to evaluate further each module. Results LWSleepNet achieves an accuracy of 86.6% and Macro-F1 score of 79.2% for the Sleep-EDF-20 dataset and an accuracy of 81.5% and Macro-F1 score of 74.3% for the Sleep-EDF-78 dataset with only 55.3 million floating-point operations per second and 180 K parameters. Conclusion On two public datasets, LWSleepNet maintains excellent prediction performance while substantially reducing the number of parameters, demonstrating that our proposed Light multiresolution convolutional neural network and temporal feature extraction modules can provide excellent portability and accuracy and can be easily integrated into portable sleep monitoring devices.
Testing a modified electronic version of the Edmonton symptom assessment system-revised for remote online completion with ambulatory cancer patients in Alberta, Canada
Authors: Watson Linda , Link Claire , Qi Siwei , DeIure Andrea , Chmielewski Lindsi , Hildebrand April , Smith Louise , Barbera Lisa 
Published: July 2023

Objective The cancer program in Alberta, Canada routinely collects patient-reported outcomes using the Edmonton symptom assessment system-revised (ESAS-r). The program recently launched the province's new clinical information system which has expanded functionality, allowing patients to complete symptom questionnaires remotely online, instead of completing a paper form at the clinic. This study aimed to test a modified electronic version of the ESAS-r [(e)ESAS-r] with patients, to assess the feasibility of completion and questionnaire clarity. Methods Staff, patients, and other stakeholders worked to create modified definitions for ESAS-r symptoms, to aid in patient understanding. Patient and family advisors were recruited to test the questionnaire. Participants completed an online mock-up of the (e)ESAS-r and answered questions about technical issues. One-to-one cognitive interviews were held to discuss each symptom definition in detail. Modifications were made based on the feedback and a second round of interviews was held to finalize the wording. Results In total, 19 patients and 7 family advisors participated. All but one (96.2%) completed the questionnaire without assistance and had no technical issues. Participants requested certain wording modifications and that definitions be added for all symptoms for consistency. Very few participants reported any confusion with the final definitions. Conclusions The (e)ESAS-r was tested for clarity and ease of completion and was determined to be suitable for remote online use with ambulatory cancer patients. The enhanced definitions on the new questionnaire were clear to patients and helped ensure they understood the meaning of each symptom they were asked to rate.
2:1 ketogenic diet and low-glycemic-index diet for the treatment of chronic and episodic migraine: a single-center real-life retrospective study
Authors: Tereshko Yan , Dal Bello Simone , Di Lorenzo Cherubino , Pez Sara , Pittino Alice , Sartor Roberto , Filippi Francesca , Lettieri Christian , Belgrado Enrico , Garbo Riccardo , Merlino Giovanni , Gigli Gian Luigi , Valente Mariarosaria 
Published: July 2023

Abstract
Aims
The evidence supporting the efficacy of dietary preventive therapy in migraine is rising, particularly regarding the ketogenic diet. However, less evidence exists for the Low-Glycemic Index Diet and the 2:1 KD. This retrospective single-center real-life study aims to evaluate the efficacy of a 2:1 ketogenic diet and a Low-Glycemic-index Diet in chronic and high-frequency episodic migraine.

Methods
Sixty patients with high-frequency episodic and chronic migraine were treated with either a Low-Glycemic-index diet (39 patients) or a 2:1 (21 patients) ketogenic diet for three months. We collected data on the migraine frequency and intensity and the MIDAS and HIT-6 scores through the headache diary. Anthropometric measurements (BMI, fat mass, free fat mass, and weight) were also collected and analyzed similarly. Data obtained at the baseline and after three months of each diet were compared.

Results
Migraine intensity, frequency, MIDAS and HIT-6 scores, fat mass, weight, and BMI improved in both diet groups.

Conclusions
Both diets are effective in reducing migraine symptoms and migraine-related disability.
Investigations on the high performance of InGaN red micro-LEDs with single quantum well for visible light communication applications
Authors: Hsiao Fu-He , Lee Tzu-Yi , Miao Wen-Chien , Pai Yi-Hua , Iida Daisuke , Lin Chun-Liang , Chen Fang-Chung , Chow Chi-Wai , Lin Chien-Chung , Horng Ray-Hua , He Jr-Hau , Ohkawa Kazuhiro , Hong Yu-Heng , Chang Chiao-Yun , Kuo Hao-Chung 
Published: July 2023

AbstractIn this study, we have demonstrated the potential of InGaN-based red micro-LEDs with single quantum well (SQW) structure for visible light communication applications. Our findings indicate the SQW sample has a better crystal quality, with high-purity emission, a narrower full width at half maximum, and higher internal quantum efficiency, compared to InGaN red micro-LED with a double quantum wells (DQWs) structure. The InGaN red micro-LED with SQW structure exhibits a higher maximum external quantum efficiency of 5.95% and experiences less blueshift as the current density increases when compared to the DQWs device. Furthermore, the SQW device has a superior modulation bandwidth of 424 MHz with a data transmission rate of 800 Mbit/s at an injection current density of 2000 A/cm2. These results demonstrate that InGaN-based SQW red micro-LEDs hold great promise for realizing full-color micro-display and visible light communication applications.
Gene co-expression network analysis identifies hub genes associated with different tolerance under calcium deficiency in two peanut cultivars
Authors: Tang Kang , Li Lin , Zhang Bowen , Zhang Wei , Zeng Ningbo , Zhang Hao , Liu Dengwang , Luo Zinan 
Published: July 2023

Abstract
Background
Peanut is an economically-important oilseed crop and needs a large amount of calcium for its normal growth and development. Calcium deficiency usually leads to embryo abortion and subsequent abnormal pod development. Different tolerance to calcium deficiency has been observed between different cultivars, especially between large and small-seed cultivars.

Results
In order to figure out different molecular mechanisms in defensive responses between two cultivars, we treated a sensitive (large-seed) and a tolerant (small-seed) cultivar with different calcium levels. The transcriptome analysis identified a total of 58 and 61 differentially expressed genes (DEGs) within small-seed and large-seed peanut groups under different calcium treatments, and these DEGs were entirely covered by gene modules obtained via weighted gene co-expression network analysis (WGCNA). KEGG enrichment analysis showed that the blue-module genes in the large-seed cultivar were mainly enriched in plant-pathogen attack, phenolic metabolism and MAPK signaling pathway, while the green-module genes in the small-seed cultivar were mainly enriched in lipid metabolism including glycerolipid and glycerophospholipid metabolisms. By integrating DEGs with WGCNA, a total of eight hub-DEGs were finally identified, suggesting that the large-seed cultivar concentrated more on plant defensive responses and antioxidant activities under calcium deficiency, while the small-seed cultivar mainly focused on maintaining membrane features to enable normal photosynthesis and signal transduction.

Conclusion
The identified hub genes might give a clue for future gene validation and molecular breeding to improve peanut survivability under calcium deficiency.
GDCL-NcDA: identifying non-coding RNA-disease associations via contrastive learning between deep graph learning and deep matrix factorization
Authors: Ai Ning , Liang Yong , Yuan Haoliang , Ouyang Dong , Xie Shengli , Liu Xiaoying 
Published: July 2023

AbstractNon-coding RNAs (ncRNAs) draw much attention from studies widely in recent years because they play vital roles in life activities. As a good complement to wet experiment methods, computational prediction methods can greatly save experimental costs. However, high false-negative data and insufficient use of multi-source information can affect the performance of computational prediction methods. Furthermore, many computational methods do not have good robustness and generalization on different datasets. In this work, we propose an effective end-to-end computing framework, called GDCL-NcDA, of deep graph learning and deep matrix factorization (DMF) with contrastive learning, which identifies the latent ncRNA-disease association on diverse multi-source heterogeneous networks (MHNs). The diverse MHNs include different similarity networks and proven associations among ncRNAs (miRNAs, circRNAs, and lncRNAs), genes, and diseases. Firstly, GDCL-NcDA employs deep graph convolutional network and multiple attention mechanisms to adaptively integrate multi-source of MHNs and reconstruct the ncRNA-disease association graph. Then, GDCL-NcDA utilizes DMF to predict the latent disease-associated ncRNAs based on the reconstructed graphs to reduce the impact of the false-negatives from the original associations. Finally, GDCL-NcDA uses contrastive learning (CL) to generate a contrastive loss on the reconstructed graphs and the predicted graphs to improve the generalization and robustness of our GDCL-NcDA framework. The experimental results show that GDCL-NcDA outperforms highly related computational methods. Moreover, case studies demonstrate the effectiveness of GDCL-NcDA in identifying the associations among diversiform ncRNAs and diseases.
The effect of prenatal education on fear of childbirth, pain intensity during labour and childbirth experience: a scoping review using systematic approach and meta-analysis
Authors: Alizadeh-Dibazari Zohreh , Abdolalipour Somayeh , Mirghafourvand Mojgan 
Published: July 2023

Abstract
Background
Antenatal education provides parents with strategies for pregnancy, childbirth, and parenthood. There is not enough evidence of the positive effect of prenatal education on childbirth and maternal outcomes. The present scoping review using a systematic approach, evaluates the effectiveness of prenatal education on fear of childbirth, pain intensity during labour, childbirth experience, and postpartum psychological health.

Methods
We used Google Scholar and systematically reviewed databases such as PubMed, Web of Science, Cochrane, Scopus, and SID (Scientific Information Database). Randomized controlled and quasi-experimental trials examining the effect of structured antenatal education and routine prenatal care compared to routine prenatal care were reviewed. The participants included pregnant women preferring a normal vaginal delivery and had no history of maternal or foetal problems. The outcomes considered in this study included fear of childbirth, pain intensity during labour, childbirth experience (as primary outcomes) and postpartum psychological health (as secondary outcomes). The grading of Recommendations Assessment, Development and Evaluation (GRADE) approach was used to evaluate the quality of evidence.

Results
Overall, 3242 studies were examined, of which 18 were qualified for the final analysis. The meta-analysis showed that providing prenatal education and routine care compared to only routine care may decrease the fear of childbirth, postpartum depression, and pain intensity during labour. However, we found no study examining the outcome of the childbirth experience. In addition, the inconsistency of included studies prevented conducting a meta-analysis on the rest of the outcomes.

Conclusions
Our investigations showed that there are very few or no studies on the effect of prenatal education on outcomes such as childbirth experience, postpartum anxiety, and maternal attachment, and the existing studies on the effect of prenatal education on outcomes such as the fear of childbirth, postpartum depression, and pain intensity during labour lack sufficient quality to make definitive conclusions. Therefore, high-quality, randomized trials with a more extensive sample size are suggested to provide clear reports to make definitive decisions.

Prospero ID
CRD42022376895.
Analysis of uroseptic shock after ureteroscopy for ureteral calculi during pregnancy: a case report
Authors: Tang Wen , Xie Zhifei , Liu Mingwen , Zhao ZeJu , Wu Tao 
Published: July 2023

AbstractBackgroundUroseptic shock secondary to ureteral calculi during pregnancy is rare. It is characterized by rapid onset, rapid progression, aggressive disease, limited treatment, poor prognosis, and a mortality rate higher than 20% with improper or delayed management. A clear diagnosis is made based on typical clinical symptoms and abdominal ultrasound, often requiring combined multidisciplinary treatment and the simultaneous release of the obstruction. The high mortality rate is mainly related to inappropriate early treatment of stones and infections or failure to intervene in a timely manner.Case presentationA 21-year-old first-time pregnant patient with uroseptic shock was admitted to our intensive care unit. The patient was successfully treated at our hospital with multidisciplinary cooperation, high-dose vasoactive drugs, IABP, CRRT, VA-ECMO, and termination of pregnancy.ConclusionsTimely relief of obstructions, termination of pregnancy, and the provision of IABP, CRRT, and VA-ECMO when necessary in critically ill patients with uroseptic shock during pregnancy can improve the success rate of resuscitation.
Patient perspectives on telemedicine during the COVID-19 pandemic: a mixed-methods community-based study
Authors: Splinter Marije J. , Ikram M. Kamran , Helsper Charles W. , Bindels Patrick J.E. , de Schepper Evelien I.T. , Licher Silvan 
Published: July 2023

Abstract

Background
Detailed community-based perspectives on patient experiences with telemedicine are currently lacking, yet essential to assess clinical applicability of telemedicine during and beyond pandemics, alike COVID-19. The aim of this study was to expose patient perspectives on virtual compared to in-person consultations, including determinants of these preferences.

Methods
We invited 5864 participants of the population-based Rotterdam Study to fill in a validated questionnaire using both close-ended and free-text questions. The questionnaire was sent on 30 July 2020, following a period of lockdowns and closures of non-essential workplaces. It assessed preferences for physician contact, healthcare utilisation, socioeconomic factors, and overall health. Those who experienced at least one virtual consultation (telephone or video call) between March 2020 and the beginning of July 2020 were asked whether those consultations were more, equally or less pleasant than in-person consultations, and to detail their experiences through free-text comments. These narrative data were examined using thematic analysis.

Results
4514 participants completed the questionnaire (response rate 77.0%, 58.7% women, mean age 70.8 ± 10.5 years). 1103 participants (24.4%) reported having had experience with virtual consultations. Half of these participants considered virtual consultations less pleasant than in-person consultations (N = 556; 50.4%), while 11.5% found it more pleasant. In total, we coded free-text comments of 752 participants. Prominent themes behind patient preferences for virtual or in-person consultations were lack of nonverbal communication, lack of physical examination, consultation scheduling, personal circumstances, and the presence of somatic and/or language barriers.

Conclusions
Based on the experiences of a large elderly patient population, we showed that preference for virtual or in-person consultations is dependent on personal and situational variety, and their interplay. Healthcare providers should consider patients’ complex care needs and evaluate the potential added value of nonverbal communication and physical examination before scheduling a virtual consultation.
Stressful environments favor deceptive alternative mating tactics to become dominant
Authors: Albo Maria J. , Pavón-Peláez Camila , Villar Mauro Martínez , Buzatto Bruno A. , Tomasco Ivanna 
Published: July 2023

AbstractBackgroundDeceptive alternative mating tactics are commonly maintained at low frequencies within populations because males using them are less competitive and acquire lower fitness than those using dominant tactics. However, the successful invasion of a male deceptive tactic is plausible if deception carries no fitness cost to females. Among populations of the gift-giving spiderParatrechalea ornata, males very often offer females a deceptive worthless gift, rather than a nutritive gift.We tested the degree to which deceptive worthless gifts can occur in natural populations living under divergent environmental conditions (moderate and stressful). We examined the plasticity of morphological and behavioral traits and analyzed the fitness of females in relation to the gift type, also examining the paternity acquired by males offering either gift type.ResultsWe demonstrated that worthless gifts can become dominant under highly stressful environmental conditions (84–100%). Individuals in such environment reach smaller sizes than those in moderate conditions. We suggest that the size reduction probably favors low metabolic demands in both sexes and may reduce the costs associated with receiving deceptive worthless gifts for females. In contrast, males living under moderate conditions varied the use of the deceptive tactic (0–95%), and worthless gifts negatively influenced female fecundity. Furthermore, male size, rather than gift content, positively impacted paternity success in the moderate but not in the stressful environment.ConclusionsOverall, this is the first empirical evidence that a reversible deceptive tactic can become dominant when the environment becomes harsh and mate choice becomes limited.
Why estimands are needed to define treatment effects in clinical trials
Authors: Keene Oliver N. , Lynggaard Helle , Englert Stefan , Lanius Vivian , Wright David 
Published: July 2023

Abstract
Background
The estimand for a clinical trial is a precise definition of the treatment effect to be estimated. Traditionally, estimates of treatment effects are based on either an ITT analysis or a per-protocol analysis. However, there are important clinical questions which are not addressed by either of these analyses. For example, consider a trial where patients take a rescue medication. The ITT analysis includes data after use of rescue, while the per-protocol analysis excludes these patients altogether. Neither of these analyses addresses the important question of what the treatment effect would have been if patients did not take rescue medication.

Main text
Trial estimands provide a broader perspective compared to the limitations of ITT and per-protocol analysis. Trial treatment effects depend on how events occurring after treatment initiation such as use of alternative medication or discontinuation of the intervention are included in the definition. These events can be accounted for in different ways, depending on the clinical question of interest.

Conclusion
The estimand framework is an important step forward in improving the clarity and transparency of clinical trials. The centrality of estimands to clinical trials is currently not reflected in methods recommended by the Cochrane group or the CONSORT statement, the current standard for reporting clinical trials in medical journals. We encourage revisions to these guidelines.
Association of A1AT genetic polymorphism and NSCLC: a case- control study in Egyptian population
Authors: El-Dawa Aliaa N. , ElSaid Afaf M. , Refaat Sherif , El-khawaga Omali Y. 
Published: July 2023

Abstract
Background
Lung cancer mortality is higher than other forms of cancer. Genetic tendencies in cancer patients have long been known. Given the link between A1ATD and numerous lung disorders, it is worth investigating if this genetic trait is linked to a higher risk of developing LC, as the lung is the most afflicted organ in individuals with severe A1ATD. This study is intended to investigate the possible association between AAT rs17580 and rs8004738 gene polymorphisms and susceptibility to non-small cell lung cancer for early prediction in Egyptians.

Methods
A case–control study was performed on 124 NSCLC cases and 124 healthy controls from 2021 to 2022 in the oncology center of Mansoura University. Peripheral blood was used to obtain genomic DNA. ARMS-PCR was used to genotype SNPs and other chemical parameters. Windows SPSS Statistics was used to review, encode, and tabulate the acquired data.

Results
A molecular study for A1AT rs17580 and rs8004738 genotypes showed that NSCLC cases were significantly associated with a higher proportion of mutant S (T) and mutant Z (A) alleles (p = 0.042, 0.041, respectively). Different A1AT genotypes (MS, MZ, SS, SZ, and ZZ) showed no significant association with NSCLC or NLR.

Conclusion
S and Z alleles might have significant impacts on NSCLC risk and can be useful for detecting and protecting individuals who may be vulnerable to carcinogens. Further research with larger sample sizes is needed to confirm the current findings.
Aspirin and clopidogrel resistance; a neglected gap in stroke and cardiovascular practice in Iran: a systematic review and meta-analysis
Authors: Parsa-kondelaji Mohammad , Mansouritorghabeh Hassan 
Published: July 2023

Abstract
Objective
Antiplatelet drugs, such as Aspirin and Clopidogrel (Plavix) are effective in the primary prevention of thromboembolic events. They are commonly used to reduce the risk of recurrence of thromboembolism. The body’s hemostatic system responds differently to these drugs in different people. Resistance testing for aspirin and Clopidogrel is now recommended before starting antiplatelet therapy.

Methods
A systematic literature search was performed on May 12, 2021, using the medical search engines PubMed, Scopus, and Web of Science, and the local databases SID and Magiran. After data extraction, a meta-analysis was performed using Comprehensive Meta-Analysis (CMA2) software. The I2 statistic was used to measure heterogeneity between estimates.

Results
Among the 949 papers, Clopidogrel resistance was assessed in 136 patients and Aspirin resistance in 400 patients. The prevalence of Aspirin resistance was found to be 52.1% and the prevalence of Clopidogrel resistance was found to be 20.5%.

Conclusion
It seems that in Iran, the issue of Aspirin and Clopidogrel resistance is suboptimally addressed. This pattern could also occur in other developing countries in the Middle East region.