bluuebunny/crossref_metadata_2025_split huggingface dataset:
Unsupervised outlier detection for time-series data of indoor air quality using LSTM autoencoder with ensemble method
Authors: Park Junhyeok , Seo Youngsuk , Cho Jaehyuk 
Published: May 2023

AbstractThe proposed framework consists of three modules as an outlier detection method for indoor air quality data. We first use a long short-term memory autoencoder (LSTM-AE) based reconstruction error detector, which designs the LSTM layer in the shape of an autoencoder, to build a reconstruction error-based outlier detection model and extract latent features. The latent feature class-assisted vector machine detector constructs an additional outlier detection model using previously extracted latent features. Finally, the ensemble detector combines the two independent classifiers to define a new ensemble-based decision rule. Furthermore, because real-time anomaly detection proceeds with unsupervised learning, more stable and consistent external detection rules are defined than when using a single ensemble model. Laboratory tests with five random cases were performed for objective evaluation. Thus, we propose a framework that can be applied to various industrial environments by detecting and defining stable outlier decision rules.
Mixed methods study of student participation and self-efficacy in remote asynchronous undergraduate physics laboratories: contributors, lurkers, and outsiders
Authors: Rosen Drew , Kelly Angela M. 
Published: May 2023

Abstract
Background
While laboratory practices have traditionally been conducted in-person, online asynchronous laboratory learning has been growing in popularity due to increased enrollments and the recent pandemic, creating opportunities for accessibility. In remote asynchronous learning environments, students have more autonomy to choose how they participate with other students in their laboratory classes. Communities of practice and self-efficacy may provide insights into why students are making their participation choices and how they are interacting with peers in asynchronous physics laboratory courses.

Results
In this mixed methods, explanatory sequential study, students in an introductory physics remote asynchronous laboratory (N = 272) were surveyed about their social learning perceptions and their physics laboratory self-efficacy. Three groups of students were identified based upon their self-reported participation level of communication with peers in asynchronous courses: (1) contributors, who communicated with peers via instant messaging software and posted comments; (2) lurkers, who read discussions on instant messaging software without posting comments; and (3) outsiders, who neither read nor posted comments to peer discussions. Analysis of variance with post hoc Tukey tests showed significant differences in social learning perceptions among contributors, lurkers, and outsiders, with a large effect size, and differences between contributing and lurking students’ self-efficacy, with a small effect size. Qualitative findings from open-ended survey responses indicated contributors felt the structure of the learning environment, or their feeling of connectedness with other students, facilitated their desire to contribute. Many lurkers felt they could get what they needed through vicarious learning, and many expressed their lack of confidence to post relevant, accurate comments. Outsiders felt they did not have to, did not want to, or could not connect with other students.

Conclusions
While the classroom laboratory traditionally requires all students to participate in the learning process through active socialization with other students, students in a remote asynchronous laboratory may still gain the benefits of participation through lurking. Instructors may consider lurking in an online or remote science laboratory as a legitimate form of participation and engagement.
Evaluation of surgical techniques in survival rate and complications of zygomatic implants for the rehabilitation of the atrophic edentulous maxilla: a systematic review
Authors: Kämmerer Peer W. , Fan Shengchi , Aparicio Carlos , Bedrossian Edmond , Davó Rubén , Morton Dean , Raghoebar Gerry M. , Zarrine Sepehr , Al-Nawas Bilal 
Published: May 2023

Abstract
Purpose
To assess the outcome [zygomatic implant (ZI) survival] and complications of the original surgical technique (OST) and an Anatomy-Guided approach (AGA) in the placement of ZI in patients with severely atrophic maxillae.

Methods
Two independent reviewers conducted an electronic literature search from January 2000 to August 2022. The inclusion criteria were articles reporting at least five patients with severely atrophic edentulous maxilla undergoing placement OST and/or AGA, with a minimum of 6 months of follow-up. Number of patients, defect characteristics, number of ZI, implant details, surgical technique, survival rate, loading protocol, prosthetic rehabilitation, complications, and follow-up period were compared.

Results
Twenty-four studies comprised 2194 ZI in 918 patients with 41 failures. The ZI survival rate was 90.3–100% in OST and 90.4–100% in AGA. Probability of complications with ZI with OST was as follows: sinusitis, 9.53%; soft tissue infection, 7.50%; paresthesia, 10.78%; oroantral fistulas, 4.58%; and direct surgical complication, 6.91%. With AGA, the presenting complications were as follows: sinusitis, 4.39%; soft tissue infection, 4.35%; paresthesia, 0.55%; oroantral fistulas, 1.71%; and direct surgical complication, 1.60%. The prevalence of immediate loading protocol was 22.3% in OST and 89.6% in the AGA. Due to the heterogeneity of studies, statistical comparison was only possible after the descriptive analysis.

Conclusions
Based on the current systematic review, placing ZI in severely atrophic edentulous maxillae rehabilitation with the OST and AGA is associated with a high implant survival rate and surgical complications within a minimum of 6 months follow-up. Complications, including sinusitis and soft tissue infection around the implant, are the most common. The utilization of immediate loading protocol is more observed in AGA than in OST.

Graphical Abstract
Fighting reviewer fatigue or amplifying bias? Considerations and recommendations for use of ChatGPT and other large language models in scholarly peer review
Authors: Hosseini Mohammad , Horbach Serge P. J. M. 
Published: May 2023

AbstractBackgroundThe emergence of systems based on large language models (LLMs) such as OpenAI’s ChatGPT has created a range of discussions in scholarly circles. Since LLMs generate grammatically correct and mostly relevant (yet sometimes outright wrong, irrelevant or biased) outputs in response to provided prompts, using them in various writing tasks including writing peer review reports could result in improved productivity. Given the significance of peer reviews in the existing scholarly publication landscape, exploring challenges and opportunities of using LLMs in peer review seems urgent. After the generation of the first scholarly outputs with LLMs, we anticipate that peer review reports too would be generated with the help of these systems. However, there are currently no guidelines on how these systems should be used in review tasks.MethodsTo investigate the potential impact of using LLMs on the peer review process, we used five core themes within discussions about peer review suggested by Tennant and Ross-Hellauer. These include 1) reviewers’ role, 2) editors’ role, 3) functions and quality of peer reviews, 4) reproducibility, and 5) the social and epistemic functions of peer reviews. We provide a small-scale exploration of ChatGPT’s performance regarding identified issues.ResultsLLMs have the potential to substantially alter the role of both peer reviewers and editors. Through supporting both actors in efficiently writing constructive reports or decision letters, LLMs can facilitate higher quality review and address issues of review shortage. However, the fundamental opacity of LLMs’ training data, inner workings, data handling, and development processes raise concerns about potential biases, confidentiality and the reproducibility of review reports. Additionally, as editorial work has a prominent function in defining and shaping epistemic communities, as well as negotiating normative frameworks within such communities, partly outsourcing this work to LLMs might have unforeseen consequences for social and epistemic relations within academia. Regarding performance, we identified major enhancements in a short period and expect LLMs to continue developing.ConclusionsWe believe that LLMs are likely to have a profound impact on academia and scholarly communication. While potentially beneficial to the scholarly communication system, many uncertainties remain and their use is not without risks. In particular, concerns about the amplification of existing biases and inequalities in access to appropriate infrastructure warrant further attention. For the moment, we recommend that if LLMs are used to write scholarly reviews and decision letters, reviewers and editors should disclose their use and accept full responsibility for data security and confidentiality, and their reports’ accuracy, tone, reasoning and originality.
Psychometric evaluation of the Symptoms of Infection with Coronavirus-19 (SIC): results from a cross-sectional study and a phase 3 clinical trial
Authors: Chan Eric K.H. , Williams Valerie , Romano Carla , Fehnel Sheri , Slagle Ashley F. , Stoddard Jeffrey , Sadoff Jerald , Mayorga Margaret , Lewis Sandy , Yarr Stuart , Ma Jia , Liu Yan , Katz Eva G. , McNulty Pauline , van Dromme Ilse , McQuarrie Kelly 
Published: May 2023

Abstract
Background
The Symptoms of Infection with Coronavirus-19 (SIC) is a 30-item patient-reported outcome (PRO) measure scored by body system composites to assess signs/symptoms of coronavirus disease 2019 (COVID-19). In addition to cross-sectional and longitudinal psychometric evaluations, qualitative exit interviews were conducted to support the content validity of the SIC.

Methods
In a cross-sectional study, adults diagnosed with COVID-19 in the United States completed the web-based SIC and additional PRO measures. A subset was invited to participate in phone-based exit interviews. Longitudinal psychometric properties were assessed in ENSEMBLE2, a multinational, randomized, double-blind, placebo-controlled, phase 3 trial of the Ad26.COV2.S COVID-19 vaccine. Psychometric properties evaluated included structure, scoring, reliability, construct validity, discriminating ability, responsiveness, and meaningful change thresholds of SIC items and composite scores.

Results
In the cross-sectional study, 152 participants completed the SIC (mean age, 51.0 ± 18.6 years) and 20 completed follow-up interviews. Fatigue (77.6%), feeling unwell (65.8%), and cough (60.5%) were symptoms most frequently reported. SIC inter-item correlations were all positive and mostly moderate (r ≥ 0.3) and statistically significant. SIC items and Patient-Reported Outcomes Measurement Information System-29 (PROMIS-29) scores correlated as hypothesized (all r ≥ 0.32). Internal consistency reliabilities of all SIC composite scores were satisfactory (Cronbach’s alpha, 0.69–0.91). SIC composite scores correlated moderately (r = 0.30–0.49) to strongly (r ≥ 0.50) with PROMIS-29 scores and Patient Global Impression of Severity (PGIS) ratings (all P < 0.01). A variety of signs/symptoms were cited in exit interviews, and participants considered the SIC straightforward, comprehensive, and easy to use. From ENSEMBLE2, 183 participants with laboratory-confirmed moderate to severe/critical COVID-19 were included (51.5 ± 14.8 years). Strong test-retest reliabilities were observed for most SIC composite scores (intraclass correlations ≥ 0.60). Statistically significant differences across PGIS severity levels were found for all but 1 composite score, supporting known-groups validity. All SIC composite scores demonstrated responsiveness based on changes in PGIS.

Conclusions
The psychometric evaluations provided strong evidence for the reliability and validity of the SIC for measuring COVID-19 symptoms, supporting its use in vaccine and treatment trials. In exit interviews, participants described a broad range of signs/symptoms consistent with previous research, further supporting the content validity and format of the SIC.
A solution of the Crow-Kimura evolution model on fluctuating fitness landscape
Authors: Suvorov Vladimir , Saakian David B. , Lynch Michael 
Published: May 2023

Abstract
The article discusses the Crow-Kimura model in the context of random transitions between different fitness landscapes. The duration of epochs, during which the fitness landscape is constant over time, is modeled by an exponential distribution. To obtain an exact solution, a system of functional equations is required. However, to approximate the model, we consider the cases of slow or fast transitions and calculate the first-order corrections using either the transition rate or its inverse. Specifically, we focus on the case of slow transitions and find that the average fitness is equal to the average fitness for evolution on static fitness landscapes, but with the addition of a load term. We also investigate the model for a small number of genes and identify the exact transition points to the transient phase.
L'histoire au conditionnel passé du cinéma tunisien
Authors: Ben Ouanès Kamel , Caillé Patricia 
Published: May 2023

PrécisLes historiens en Tunisie ne se sont guère intéressés au cinéma. A partir d'une production éditoriale locale qui accompagne commémorations et manifestations cinématographiques en Tunisie, cet article tisse les contours du paysage, souvent ambivalent, du cinéma tunisien. La première partie restitue la production des savoirs sur le cinéma tunisien dans ses différents lieux. La deuxième partie porte sur une production nationale contingente constituée de textes, le plus souvent collectifs, d'acteurs et actrices engagés dans diverses capacités pour le développement d'un cinéma local. Alternant états des lieux, témoignages et analyses dans un rapport convenu, mais devenu trop étroit, aux valeurs du tiers-mondisme, ces textes affichent un attachement indéfectible au cinéma d'auteur et réaffirment les fondements d'une culture du cinéma hégémonique. La troisième partie explore les vestiges d'une lutte du cinéma face à un Etat défaillant, que la nouvelle génération a déjà dépassée dans ses pratiques.
Nuclear lipid droplets – how are they different from their cytoplasmic siblings?
Authors: Fujimoto Toyoshi 
Published: May 2023

ABSTRACT
Lipid droplets (LDs) in the cytoplasm are formed in the endoplasmic reticulum (ER) and are connected with various organelles, both structurally and functionally. This is in contrast to LDs in the nucleus, which are separated from organelles in the cytoplasm. How nuclear lipid droplets form and what function they have were not known for many years. Recent results have revealed that nuclear LDs in hepatocytes are derived from lipoprotein precursors in the ER lumen, whereas those in non-hepatocytes and budding yeast newly form in the inner nuclear membrane. Although nuclear LDs are far fewer in number than cytoplasmic LDs, the unique location appears to bestow upon them specific functions, which are potentially linked to nuclear biology. This Review will provide an overview of our current understanding of nuclear LDs, discuss how they are different from cytoplasmic LDs and highlight knowledge gaps that need to be filled in future studies.
High-resolution peripheral quantitative computed tomography: research or clinical practice?
Authors: Gazzotti Silvia , Aparisi Gómez Maria Pilar , Schileo Enrico , Taddei Fulvia , Sangiorgi Luca , Fusaro Maria , Miceli Marco , Guglielmi Giuseppe , Bazzocchi Alberto 
Published: May 2023

Abstract
High-resolution peripheral quantitative CT (HR-pQCT) is a low-dose three-dimensional imaging technique, originally developed for in vivo assessment of bone microarchitecture at the distal radius and tibia in osteoporosis. HR-pQCT has the ability to discriminate trabecular and cortical bone compartments, providing densitometric and structural parameters. At present, HR-pQCT is mostly used in research settings, despite evidence showing that it may be a valuable tool in osteoporosis and other diseases. This review summarizes the main applications of HR-pQCT and addresses the limitations that currently prevent its integration into routine clinical practice. In particular, the focus is on the use of HR-pQCT in primary and secondary osteoporosis, chronic kidney disease (CKD), endocrine disorders affecting bone, and rare diseases. A section on novel potential applications of HR-pQCT is also present, including assessment of rheumatic diseases, knee osteoarthritis, distal radius/scaphoid fractures, vascular calcifications, effect of medications, and skeletal muscle. The reviewed literature seems to suggest that a more widespread implementation of HR-pQCT in clinical practice would offer notable opportunities. For instance, HR-pQCT can improve the prediction of incident fractures beyond areal bone mineral density provided by dual-energy X-ray absorptiometry. In addition, HR-pQCT may be used for the monitoring of anti-osteoporotic therapy or for the assessment of mineral and bone disorder associated with CKD. Nevertheless, several obstacles currently prevent a broader use of HR-pQCT and would need to be targeted, such as the small number of installed machines worldwide, the uncertain cost-effectiveness, the need for improved reproducibility, and the limited availability of reference normative data sets.
Avoid non-diagnostic EUS-FNA: a DNN model as a possible gatekeeper to distinguish pancreatic lesions prone to inconclusive biopsy
Authors: Qu Weinuo , Yang Jiannan , Li Jiali , Yuan Guanjie , Li Shichao , Chu Qian , Xie Qingguo , Zhang Qingpeng , Cheng Bin , Li Zhen 
Published: May 2023

Objective: This work aimed to explore the utility of CT radiomics with machine learning for distinguishing the pancreatic lesions prone to non-diagnostic ultrasound-guided fine-needle aspiration (EUS-FNA). Methods: 498 patients with pancreatic EUS-FNA were retrospectively reviewed [Development cohort: 147 pancreatic ductal adenocarcinoma (PDAC); Validation cohort: 37 PDAC]. Pancreatic lesions not PDAC were also tested exploratively. Radiomics extracted from contrast-enhanced CT was integrated with deep neural networks (DNN) after dimension reduction. The receiver operating characteristic (ROC) curve, and decision curve analysis (DCA) were performed for model evaluation. And, the explainability of the DNN model was analyzed by integrated gradients. Results: The DNN model was effective in distinguishing PDAC lesions prone to non-diagnostic EUS-FNA (Development cohort: AUC = 0.821, 95% CI: 0.742–0.900; Validation cohort: AUC = 0.745, 95% CI: 0.534–0.956). In all cohorts, the DNN model showed better utility than the logistic model based on traditional lesion characteristics with NRI >0 (p < 0.05). And, the DNN model had net benefits of 21.6% at the risk threshold of 0.60 in the validation cohort. As for the model explainability, gray-level co-occurrence matrix (GLCM) features contributed the most averagely and the first-order features were the most important in the sum attribution. Conclusion: The CT radiomics-based DNN model can be a useful auxiliary tool for distinguishing the pancreatic lesions prone to nondiagnostic EUS-FNA and provide alerts for endoscopists preoperatively to reduce unnecessary EUS-FNA. Advances in knowledge: This is the first investigation into the utility of CT radiomics-based machine learning in avoiding non-diagnostic EUS-FNA for patients with pancreatic masses and providing potential pre-operative assistance for endoscopists.
Clinical Efficacy of Cognitive Behavioral Therapy Combined with Pinaverium Bromide Tablets on Irritable Bowel Syndrome
Authors: Liu Quanxi , Zhu Yan , Wang Wei , Dong Yongli 
Published: May 2023

Objective: To investigate the clinical efficacy of cognitive behavioral therapy combined with pinaverium bromide tablets in admitted patients with irritable bowel syndrome (IBS).
Methods: This is a retrospective study. A total of 60 patients with IBS admitted to Beijing Hospital of Integrated Traditional Chinese and Western Medicine between June 2021 and June 2022 were selected and randomly divided into two groups. Patients in the control group were treated with pinaverium bromide tablets, and those in the observation group were treated with cognitive behavior therapy combined with pinaverium bromide tablets. The improvement of clinical symptoms and quality of life before and after treatment was compared for the two groups, IBS-SSS scale and IBS-QOL scale were used to compare the improvement of clinical symptoms and quality of life between the two groups of patients before and after treatment. SAS score and SDS score were used to evaluate the psychology of the two groups. Adverse reactions occurring during the treatment were recorded, such as nausea and vomiting, dizziness and headache, etc.
Results: The efficacy of the observation group was higher than that of the control group and the difference was significant (P<0.05). After treatment, the IBS-SSS score in the observation group and the control group decreased and the IBS-QOL score increased. The SDS score and SAS score in the observation group were better than those in the control group (P< 0.05). After treatment, there was no significant difference in adverse reactions between the observation group and the control group (P > 0.05).
Conclusion: Cognitive behavioral therapy combined with pinaverium bromide tablets is significantly effective in the treatment of patients with IBS, which can effectively relieve symptoms such as diarrhea and abdominal pain, and reduce irritable bowel reactions.
doi: https://doi.org/10.12669/pjms.39.4.6994
How to cite this: Liu Q, Zhu Y, Wang W, Dong Y. Clinical efficacy of cognitive behavioral therapy combined with pinaverium bromide tablets on irritable bowel syndrome. Pak J Med Sci. 2023;39(4):---------. doi: https://doi.org/10.12669/pjms.39.4.6994
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.