bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Impact of Linguistic Prediction Violations on Downstream Recognition Memory and Sentence Recall
Authors: Hubbard Ryan J. , Federmeier Kara D. 
Published: October 2023

Abstract
Predicting upcoming words during language comprehension not only affects processing in the moment but also has consequences for memory, although the source of these memory effects (e.g., whether driven by lingering pre-activations, re-analysis following prediction violations, or other mechanisms) remains underspecified. Here, we investigated downstream impacts of prediction on memory in two experiments. First, we recorded EEG as participants read strongly and weakly constraining sentences with expected, unexpected but plausible, or semantically anomalous endings (“He made a holster for his gun / father / train”) and were tested on their recognition memory for the sentence endings. Participants showed similar rates of false alarms for predicted but never presented sentence endings whether the prediction violation was plausible or anomalous, suggesting that these arise from pre-activation of the expected words during reading. During sentence reading, especially in strongly constraining sentences, plausible prediction violations elicited an anterior positivity; anomalous endings instead elicited a posterior positivity, whose amplitude was predictive of later memory for those anomalous words. ERP patterns at the time of recognition differentiated plausible and anomalous sentence endings: Words that had been plausible prediction violations elicited enhanced late positive complex amplitudes, suggesting greater episodic recollection, whereas anomalous sentence endings elicited greater N1 amplitudes, suggesting attentional tagging. In a follow-up behavioral study, a separate group of participants read the same sentence stimuli and were tested for sentence-level recall. We found that recall of full sentences was impaired when sentences ended with a prediction violation. Taken together, the results suggest that prediction violations draw attention and affect encoding of the violating word, in a manner that depends on plausibility, and that this, in turn, may impair future memory of the gist of the sentence.
Sleep Deficiency by Caregiving Status: Findings From Nationally Representative Data
Authors: Ahn Soojung , Chung Misook L. , Logan Jeongok G. 
Published: October 2023

Objective: Caregiving demands may influence caregivers’ sleep duration and quality, which are essential for optimal health. We aimed to examine the association between caregiving status and sleep deficiency (i.e., short sleep duration and/or poor quality) and identify factors associated with sleep deficiency among caregivers. Methods: This secondary analysis used data from 3870 adults living in the United States, obtained from the 2019 Health Information National Trends Survey. Multinomial logistic regressions were performed to examine the association between caregiving status (i.e., caregivers vs. non-caregivers) and sleep status (i.e., normal duration-good quality [optimal sleep, reference], short duration-good quality, normal duration-poor quality, and short duration-poor quality), and to identify caregiving-related factors associated with sleep deficiency in the caregiver group. Results: Compared to non-caregivers, caregivers were more likely to report short sleep duration (<7 hours) with good quality sleep (relative risk ratio [RRR] = 1.566, 95% CI [1.238, 1.980]) or poor quality sleep (RRR = 1.376, 95% CI [1.034, 1.832]) than the optimal sleep status. Caregivers providing care for ≥20 hours per week (vs. <20 hours) and providing care to individuals with dementia (vs. no dementia caregiving) were 2.8 times more likely to report normal sleep duration with poor sleep quality than optimal sleep (RRR = 2.796, 95% CI [1.125, 6.950]; RRR = 2.776, 95% CI [1.154, 6.675], respectively). Conclusion: The findings of a higher risk of sleep deficiency among caregivers suggest that health care providers need to assess both caregivers’ sleep duration and quality status. Interventions tailored to the caregiving context are also warranted.
899 serious adverse events including 13 deaths, 7 strokes, 211 thromboembolic events, and 482 immune reactions: The untold story of cyanoacrylate adhesive closure
Authors: Parsi Kurosh , Zhang Lois , Whiteley Mark S , Vuong Selene , Kang Mina , Naidu Nikita , Grace Joseph , Connor David E 
Published: October 2023

Objective The aim was to retrieve and analyse the serious adverse events of venous occlusion systems used in cyanoacrylate adhesive closure (CAC) submitted to regulatory agencies. Methods The Total Product Life Cycle (TPLC) database of the US Food and Drug Administration (FDA), the Database of Adverse Event Notifications (DAEN) of the Australian Therapeutic Goods Administration (TGA), and the Yellow Card database of the UK Medicines and Healthcare Products Regulatory Agency (MHRA) were reviewed. Three Freedom of Information (FOI) requests had to be submitted to the MHRA to obtain data. Results The TPLC contained 899 reports which included 13 cases of death, 7 strokes, 211 thromboembolic events, and 482 immune reactions. The DAEN recorded three reportable adverse events, and the MHRA recorded seven adverse incidents including one death. Conclusion CAC is associated with serious adverse events including death. These events are under-reported in the medical literature and only sub-optimally reported to the regulatory agencies.
Myopia management -A survey of optometrists and ophthalmologists in Israel
Authors: Erdinest Nir , London Naomi , Morad Yair , Naroo Shehzad A 
Published: October 2023

Purpose Myopia management is practiced by ophthalmologists and optometrists. This study evaluated the approach and standard of myopia management among eye-care practitioners (ECPs) in Israel. The findings may ultimately affect the quality of care. Methods A questionnaire was sent to 954 optometrists and 365 ophthalmologists, including demographic questions; whether they owned any devices to monitor myopia progression; the lowest progression they considered significant; various questions pertaining to myopia management and treatment methods. Results Responses from 135 optometrists and 126 ophthalmologists were collected, the majority practicing more than five years; 94% of optometrists, and 64% of ophthalmologists. Around 53% of optometrists and 27% of the ophthalmologists proclaimed to practice myopia management. ECPs primary parameters influencing risk assessment for progression were age, genetic background and history of progression. Time outdoors, during daylight hours, is advised by ophthalmologists (97%) and optometrists (78%). Limiting screentime is encouraged by 87% of ophthalmologists and 69% of optometrists. Myopia progression of 0.50D–0.75D after six months is regarded to require intervention by 93% of ophthalmologists and 83% of optometrists. Optometrists selected multiple myopia management treatments, primarily optical (ophthalmic myopia management lenses 40%, multifocal ophthalmic lenses 24%, peripheral blur contact lenses 38%, orthokeratology 11%), while 95% of ophthalmologists chose atropine and only 3–11% selected any additional treatments to consider. Conclusion This study highlighted ECPs’ agreement on the principles, importance of, and timeline of intervention with myopia management. The disconnect between the two professions lies in management methods. Genuine dialogue and co-management should be encouraged for maximum implementation, benefit and effectiveness of available patient treatments.
Long-term efficacy and adverse effects of cannabidiol in adjuvant treatment of drug-resistant epilepsy: a systematic review and meta-analysis
Authors: Liu Shengyi , He Zihua , Li Jinmei 
Published: October 2023

Background: Epilepsy is one of the most common chronic brain diseases. Almost one-third of patients have drug-resistant epilepsy (DRE). Cannabidiol is being considered as a potential novel drug for treating DRE. Objectives: To investigate long-term efficacy and safety of cannabidiol in treatment of DRE and the differences in cannabidiol treatment among patients with different characteristics. Design: Systematic review and meta-analysis. Data sources and methods: Medline, Embase, and CENTRAL were searched for literature. RevMan5.4 was used for meta-analysis. The Intention-to-treat set and the random effect were used as the main analysis. Subgroup analyses were performed according to age, dose, concomitant antiseizure medications (ASMs), epilepsy syndromes, and study designs. Results: Fifty studies were included in this systematic review. A total of 4791 participants were collected. The responder rates (seizure frequency reduced at least 50%) at 12-, 24-, 48-, 72-, 96-, and 144-week were 0.40 [0.36, 0.45], 0.39 [0.34, 0.44], 0.37 [0.30, 0.44], 0.27 [0.17, 0.37], 0.22 [0.14, 0.30], and 0.38 [0.23, 0.53]. Seizure-free rates were 0.04 [0.03, 0.06], 0.04 [0.03, 0.05], 0.03 [0.02, 0.05], 0.03 [0.02, 0.03], 0.02 [0.01, 0.03], and 0.04 [0.01, 0.06]. Proportion of adverse events were 0.72 [0.61, 0.83], 0.62 [0.42, 0.81], 0.60 [0.41, 0.79], 0.35 [0.14, 0.56], 0.83 [0.75, 0.90], and 0.96 [0.94, 0.99]. The pooled 12-, 24-, 48-, 96-, and 144-week proportion of serious adverse events were 0.15 [0.09, 0.21], 0.23 [0.14, 0.31], 0.10 [0.06, 0.15], 0.31 [0.24, 0.38], and 0.40 [0.35, 0.45]. Subgroup analyses showed that there was no significant difference on efficacy and safety among age subgroups and epilepsy syndromes subgroups. For most periods, there were no significant difference on efficacy among subgroups of dose and concomitant ASMs. However, higher doses and more concomitant ASMs were associated with higher proportion of adverse events. Conclusion: Cannabidiol treatment of DRE has stable efficacy and fewer adverse events in early period. Long-term use may have decreased efficacy and increased adverse events. Dose escalation may not increase efficacy, but may increase adverse events. Furthermore, cannabidiol use may reduce dosage of other ASMs without reducing efficacy, thereby reducing adverse effects. Cannabidiol may have similar effects in various epilepsy syndromes. Trial registration: PROSPERO (CRD42022351250).
Repetitive transcranial magnetic stimulation for chemotherapy-induced peripheral neuropathy in multiple myeloma: A pilot study
Authors: Yan Zhenzhuang , Cao Weiwei , Miao Lei , Li Juan , Wang Hui , Xu Dandan , Yu Hainan , Zhu Yuanxin 
Published: October 2023

Objective: Chemotherapy-induced peripheral neuropathy is one of the major toxicities in multiple myeloma patients, often resulting in dose reductions or treatment interruptions. Repetitive transcranial magnetic stimulation is a safe non-invasive neuromodulation therapy with potential benefits for chemotherapy-induced peripheral neuropathy. The objective of this study was to investigate the efficacy of repetitive transcranial magnetic stimulation treatment on chemotherapy-induced peripheral neuropathy in multiple myeloma patients. Materials and methods: We screened 30 multiple myeloma patients with chemotherapy-induced peripheral neuropathy who underwent repetitive transcranial magnetic stimulation treatment in this study. Prior to and following repetitive transcranial magnetic stimulation treatment, patients were assessed with nerve conduction velocity, visual analog scale and the European Organization of Research and Treatment of Cancer Quality of Life Questionnaire-CIPN 20-item scale (EORTC QLQ-CIPN20). Categorical and continuous variables were analyzed using Fisher’s exact test and Mann-Whitney U test respectively. A p-value < 0.05 (2-tailed) was considered statistically significant. Results: Following repetitive transcranial magnetic stimulation treatment, 24/30 (80.0%) patients reported a reduction in chemotherapy-induced peripheral neuropathy symptoms. Meanwhile, all 15 patients with grade 2 chemotherapy-induced peripheral neuropathy experienced improvements about themselves, compared to 8/10 patient with grade 3 chemotherapy-induced peripheral neuropathy and 1/5 with grade 4 chemotherapy-induced peripheral neuropathy. Visual analog scale scores decreased after repetitive transcranial magnetic stimulation treatment (5.40 ± 1.94 vs 3.10 ± 1.60, p < 0.001). We also observed enhancements in both motor conduction velocity and sensory conduction velocity of patients in bilateral median nerves, posterior tibial nerves, common ulnar nerves and peroneal nerves following repetitive transcranial magnetic stimulation treatment. Analysis of the European Organization of Research and Treatment of Cancer Quality of Life Questionnaire-CIPN 20-item scale data (17.68 ± 8.14 vs 10.50 ± 9.55, p < 0.001) revealed significant reductions in scores. Patients with grade 2–3 ( n = 25) exhibited a mean reduction of 8.89 ± 4.24 points, while those with grade 4 ( n = 5) showed a difference value of 3.54 ± 3.45, p < 0.001. No adverse events were observed. Conclusion: Our findings suggest that repetitive transcranial magnetic stimulation is a safe and effective therapeutic approach for ameliorating peripheral nerve injury and alleviating the chemotherapy-induced peripheral neuropathy symptoms in multiple myeloma patients. Early initiation of repetitive transcranial magnetic stimulation treatment may yield more favorable outcomes for these patients.
Tackling the COVID-19 infodemic among Syrian refugees in Lebanon: Development and evaluation of the “Wikaytek” tool
Authors: Semaan Juliette , Farah Christopher , Harb Reem Abou , Bardus Marco , Germani Aline , Elhajj Imad H 
Published: October 2023

ObjectiveThe COVID-19 infodemic has been a global public health challenge, especially affecting vulnerable populations such as Syrian refugees with limited internet access and functional, health, digital, and media literacies. To address this problem, we developed Wikaytek, a software to diffuse reliable COVID-19 information using WhatsApp, the preferred communication channel among Syrian refugees. In this paper, we describe the systematic development of the tool.MethodsWe undertook a pilot study guided by the Humanitarian Engineering Initiative (HEI)'s user-centered design framework, comprising five stages: (a) user research, including needs assessment and desk review of interventions with target users; (b) concept design based on platform and source selection, message format, concept testing, and architecture design; (c) prototyping and implementation, encompassing software development and system operation; (d) user testing (alpha and beta); and (e) evaluation through software analytics and user interviews. We reported a qualitative process evaluation.ResultsWikaytek scrapes validated and reliable COVID-19-related information from reputable sources on Twitter, automatically translates it into Arabic, attaches relevant media (images/video), and generates an audio format using Google text-to-speech. Then, messages are broadcast to WhatsApp. Our evaluation shows that users appreciate receiving “push” information from reliable sources they can trust and prefer the audio format over text.ConclusionsWikaytek is a useful and well-received software for diffusing credible information on COVID-19 among Syrian refugees with limited literacy, as it complements the texts with audio messages. The tool can be adapted to diffuse messages about other public health issues among vulnerable communities, extending its scope and reach in humanitarian settings.
Effectiveness of Case Manager Led Multi-Disciplinary Team Approach on Glycemic Control Amongst T2DM Patients in Primary Care in Riyadh: A Retrospective Follow-Up Study
Authors: Alshowair Abdulmajeed , Altamimi Saleh , Alshahrani Saad , Almubrick Rehab , Ahmed Syed , Tolba Ali , Alkawai Fatimah , Alruhaimi Faisal , Alsafwani Eman , AlSuwailem Fatima , Abdalla Haiam , Abdel-Azeem Amro 
Published: October 2023

Objectives: Our study aims to assess the effectiveness of implementing a case manager-led Multidisciplinary Team approach in the primary healthcare setting on improving glycemic control and reducing cardiovascular risks for T2DM patients over a 6-month period. Methods: This retrospective record-based follow-up study was carried out on 3060 uncontrolled T2DM patients in primary healthcare centers in Riyadh First Health Cluster over a period of 6 months. The patient records are investigated and analyzed, including demographic characteristics and measurements of Hemoglobin A1c (HbA1c), Low-Density Lipoprotein Cholesterol (LDL-C), total cholesterol, and BP levels at enrollment and after 6 months of Multi-Disciplinary Team follow-up. The changes in the study variables and their correlations to each other are tested using Statistical Package for the Social Sciences software. Results: At enrollment, our patients were characterized by poor glycemic control (HbAIC > 8%). Most of them have high body weight with a mean BMI of (31.2 ± 1.7), and nearly two-thirds are either hypertensive or have dyslipidemia (43.4% and 47.3% respectively). After 6 months of MDT follow-up, there is a significant improvement in glycemic control among 1971 patients (64.4%), with a reduction in the mean level of different outcomes relative to baseline HbA1c (−15%, P < .001), total cholesterol (−9.0%, P < .001), LDL-C (−11.0%, P < .001), systolic BP (−7.7%, P < .001), and diastolic BP (−10.5%, P < .001). The improved glycemic control showed a significant positive correlation with the number of MDT visits but negatively correlated with BMI and the number of comorbidities. In addition, the improvements in secondary outcomes were positively and significantly correlated with such improvements in glycemic control. Conclusion: Case-manager-led MDT approach significantly improves glycemic control and significantly improves control over dyslipidemia and hypertension, reducing cardiovascular risks, and unfavorable events among such diabetic patients. We highly recommend developing more MDTs, training case managers, and rigorously evaluating the MDT approach.
The value of Clinical signs in the diagnosis of Degenerative Cervical Myelopathy - A Systematic review and Meta-analysis
Authors: Jiang Zhilin , Davies Benjamin , Zipser Carl , Margetis Konstantinos , Martin Allan , Matsoukas Stavros , Zipser-Mohammadzada Freschta , Kheram Najmeh , Boraschi Andrea , Zakin Elina , Obadaseraye Oke Righteous , Fehlings Michael G. , Wilson Jamie , Yurac Ratko , Cook Chad E , Milligan Jamie , Tabrah Julia , Widdop Shirley , Wood Lianne , Roberts Elizabeth A. , Rujeedawa Tanzil , Tetreault Lindsay ,   AO Spine RECODE-DCM Diagnostic Criteria Incubator
Published: October 2023

Study Design Delayed diagnosis of degenerative cervical myelopathy (DCM) is likely due to a combination of its subtle symptoms, incomplete neurological assessments by clinicians and a lack of public and professional awareness. Diagnostic criteria for DCM will likely facilitate earlier referral for definitive management. Objectives This systematic review aims to determine (i) the diagnostic accuracy of various clinical signs and (ii) the association between clinical signs and disease severity in DCM? Methods A search was performed to identify studies on adult patients that evaluated the diagnostic accuracy of a clinical sign used for diagnosing DCM. Studies were also included if they assessed the association between the presence of a clinical sign and disease severity. The QUADAS-2 tool was used to evaluate the risk of bias of individual studies. Results This review identified eleven studies that used a control group to evaluate the diagnostic accuracy of various signs. An additional 61 articles reported on the frequency of clinical signs in a cohort of DCM patients. The most sensitive clinical tests for diagnosing DCM were the Tromner and hyperreflexia, whereas the most specific tests were the Babinski, Tromner, clonus and inverted supinator sign. Five studies evaluated the association between the presence of various clinical signs and disease severity. There was no definite association between Hoffmann sign, Babinski sign or hyperreflexia and disease severity. Conclusion The presence of clinical signs suggesting spinal cord compression should encourage health care professionals to pursue further investigation, such as neuroimaging to either confirm or refute a diagnosis of DCM.
Green synthesis of silver nanoparticles using Adhatoda vasica leaf extract and its application in photocatalytic degradation of dyes
Authors: Chaudhari Ronak Kumar , Shah Priyanka A. , Shrivastav Pranav S. 
Published: October 2023

AbstractThe paper describes biogenic synthesis of silver nanoparticles (AgNPs) using Adhatoda vasica leaf extracts at room temperature. The prepared AgNPs were characterized by UV–visible spectroscopy, Fourier-transform infrared spectroscopy, powder X-ray diffraction, Energy dispersive X-ray (EDX), High Resolution Transmission Electron Microscope, Scanning Electron Microscopy and Thermogravimetric analyser. The bio reduction method is devoid of any toxic chemicals, organic solvents, and external reducing, capping and stabilizing agent. The synthesized AgNPs had spherical shape with particle size ranging between 3.88 and 23.97 nm and had face centered cubic structure. UV–visible spectral analysis confirmed the formation of AgNPs with a characteristic surface plasmon resonance band at 419 nm. The EDX pattern revealed the presence of elemental Ag in AgNPs. The prepared AgNPs were used for degradation of Amaranth, Allura red and Fast green in aqueous medium, with ≥ 92.6% efficiency within 15 min using 5 mg of AgNPs. The optical bandgap, Eg value of 2.26 eV for AgNPs was found to be effective for rapid photocatalytic degradation of all the three dyes. The degradation process was observed to follow pseudo first order kinetics.
LncRNA–protein interaction prediction with reweighted feature selection
Authors: Lv Guohao , Xia Yingchun , Qi Zhao , Zhao Zihao , Tang Lianggui , Chen Cheng , Yang Shuai , Wang Qingyong , Gu Lichuan 
Published: October 2023

AbstractLncRNA–protein interactions are ubiquitous in organisms and play a crucial role in a variety of biological processes and complex diseases. Many computational methods have been reported for lncRNA–protein interaction prediction. However, the experimental techniques to detect lncRNA–protein interactions are laborious and time-consuming. Therefore, to address this challenge, this paper proposes a reweighting boosting feature selection (RBFS) method model to select key features. Specially, a reweighted apporach can adjust the contribution of each observational samples to learning model fitting; let higher weights are given more influence samples than those with lower weights. Feature selection with boosting can efficiently rank to iterate over important features to obtain the optimal feature subset. Besides, in the experiments, the RBFS method is applied to the prediction of lncRNA–protein interactions. The experimental results demonstrate that our method achieves higher accuracy and less redundancy with fewer features.