bluuebunny/crossref_metadata_2025_split huggingface dataset:
The use of everyday and assistive technology in the lives of older autistic adults
Authors: Zheng Lidan , Foley Kitty-Rose , Grove Rachel , Elley Kieran , Brown Scott Andrew , Leong Dawn-joy , Li Xue , Pellicano Elizabeth , Trollor Julian N , Hwang Ye In (Jane) 
Published: November 2021

Assistive technologies have the potential to provide accessible support to people with varying needs and abilities, including older autistic adults. However, there is currently limited knowledge about how older autistic adults use technology in their daily lives, whether it is sufficient to meet their needs and whether they experience any barriers to technology use. To address these questions, we conducted semi-structured interviews with 15 autistic adults aged over 50 years. Using thematic analysis, we identified two major themes related to how older autistic adults use technology: ‘Helping to Manage the External Environment’ and ‘Increasing Everyday Accessibility and Convenience’. Overall, participants reported experiencing a number of challenges associated with performing everyday activities and while technology was able to offer some assistance, a number of gaps still remain in meeting the support needs of this population. Based on these findings, we offer some guidelines and recommendations for technology use with this population to guide future research and practice. Lay abstract Technology has the potential to help people with various support needs live more autonomous lives. This includes autistic individuals. In this article, we look at how older autistic adults use technology in their daily lives. Past research examining technology use and autism has mainly focused on helping children to learn new skills. To date, very little research has been conducted looking at how to create and design technology for use by older autistic adults. This is concerning because older autistic adults will likely have supports needs that match or exceed those of similarly aged non-autistic individuals. In this article, we spoke to autistic adults over 50 years about their daily experiences and how they use technology. We identified some important ways that older autistic adults use technology in their daily lives, as well as a number of support needs and barriers to technology use. Based on the findings, we were able to provide some guidelines and recommendations for technology developers and service providers to assist with designing, creating and using technology with older autistic adults.
Evidence of increasing recorded diagnosis of autism spectrum disorders in Wales, UK: An e-cohort study
Authors: Underwood Jack FG , DelPozo-Banos Marcos , Frizzati Aura , John Ann , Hall Jeremy 
Published: November 2021

Estimates place the prevalence of autism spectrum disorders (autism) at around 1% in the population. New services for adult diagnosis have been set up in Wales, UK, at a time of rising awareness of the spectrum of autism experiences; however, no studies have examined adult autism prevalence in Wales. In this study, we used an anonymised e-cohort comprised of healthcare record data to produce all-age estimates of prevalence and incidence of recorded autism for the years 2001–2016. We found the overall prevalence rate of autism in healthcare records was 0.51%. The number of new-recorded cases of autism increased from 0.188 per 1000 person-years in 2001 to 0.644 per 1000 person-years in 2016. The estimate of 0.51% prevalence in the population is lower than suggested by population survey and cohort studies study methodologies, but comparable to other administrative record study estimates. Rates of new incident diagnoses of autism saw a >150% increase in the years 2008–2016, with a trend towards more diagnoses in those aged over 35 years and an eightfold increase in diagnoses in women from 2000 to 2016. This study suggests that while the number of people being diagnosed with autism is increasing, many are still unrecognised by healthcare services. Lay abstract Autism spectrum disorders (autism) are thought to be relatively common, with analyses estimating 1% in the population could meet diagnostic criteria. New services for adult diagnosis have been set up in Wales, UK; however, no studies have examined for the proportion of adults with autism in Wales. In this study, we take anonymised healthcare record data from more than 3.6 million people to produce a national estimate of recorded autism diagnoses. We found the overall prevalence rate of autism in healthcare records was 0.51%. The number of new-recorded cases of autism increased from 0.188 per 1000 person-years in 2001 to 0.644 per 1000 person-years in 2016. The estimate of 0.51% prevalence in the population is lower than suggested by population survey and cohort studies, but comparable to other administrative records. From 2001 to 2016, the number of autism services for adults has increased, and autism is more widely known in society, while concurrently in healthcare records, there was a >150% increase autism diagnoses in the years 2008–2016. An increasing number of diagnoses were among women and those aged over 35 years. This study suggests that while the number of people being diagnosed with autism is increasing, many are still unrecognised by healthcare services.
A heuristic model for cephalometric diagnosis of sagittal dysplasia
Authors: Khandelwal Mayank , Ramaiah Prasanna Turuvekere , Setty Suhas , Subramonia Swaroop , Kapoor Swati , Karajagi Sneha 
Published: November 2021

Objective: To identify the best-suited cephalometric parameter for assessing the sagittal skeletal discrepancy in the Indian population. Design: An in vitro, observational, single-blinded, retrospective study. Setting: Department of Orthodontics and Dentofacial Orthopaedics. Methods: A total of 94 lateral cephalograms were used in this study. The study involved one key person and two examiners. The key person collected the radiographs, coded, analysed and classified them into three groups (skeletal classes I, II and III). Subsequently, the coded radiographs were independently analysed by the two examiners. They classified the cases by matching a minimum of 6 out of 11 parameters. On completion of diagnosis by the examiners, the samples were decoded and matched with the original diagnosis given by the key person. The samples in which identification of a particular cephalometric parameter matched the original evaluation as given by the key person was regarded as correctly diagnosed. The number of correctly assessed cases was used to judge the diagnostic performance of all the parameters in all the cases. Cross-validation of the method was performed, and a diagnostic algorithm was developed for diagnosis. Results: β angle and Pi angle showed a positive predictive value of 1 in both skeletal class I and II cases. ANB angle, W angle and HBN angle showed a positive predictive value of 1 in skeletal class III cases. Conclusion: No single cephalometric parameter can independently be used to diagnose sagittal skeletal discrepancy in all cases. However, a conclusive diagnosis on the type of sagittal skeletal malocclusion can be made by using a simple and easy to use diagnostic algorithmic process having a combination of cephalometric parameters.
Explaining the problems faced by Iranian housewives during the COVID-19 quarantine period, and their adaption strategies: A qualitative study
Authors: Yoosefi Lebni Javad , Irandoost Seyed Fahim , Xosravi Tareq , Ahmadi Sina , Ziapour Arash , Soofizad Goli , SoleimanvandiAzar Neda 
Published: November 2021

Background: Housewives have several problems during the quarantine phase; so, the current study was designed to describe the challenges faced by Iranian housewives during the quarantine period in relation to COVID-19 and compatibility measures for it. Methods: The current research employed a qualitative methodology and a traditional content analysis method on 34 quarantined women in Tehran. Purposive sampling and snowballing were used to find participants, and semi-structured interviews were used to gather data. The Guba and Lincoln criteria were also employed to assess the quality of the study findings. Results: After analyzing the data, 4 main categories and 18 subcategories were extracted, including (1) individual problems (personal health problems, life with fear and anxiety, low mental health, lifestyle imbalance, Internet addiction); (2) family problems (violence and conflict in the family, tension in managing family members, disruption of the educational and economic situation of family members, intensification of domestic tasks and roles); (3) social problems (social isolation, disregard for social customs, restricted access to cyberspace); and (4) compatibility strategies (spirituality, strengthening family relationships, division of tasks between family members, optimal use of leisure, positive use of cyberspace, development of individual skills). Conclusion: Their problems can be ameliorated by providing contraception to housewives, improving their mental health and reducing their worries and fears, modeling a healthy lifestyle during quarantine, offering solutions that reduce violent behavior and manage family conflict, and expanding their access to virtual communications.
Long Covid: Online patient narratives, public health communication and vaccine hesitancy
Authors: Miyake Esperanza , Martin Sam 
Published: November 2021

Introduction This study combines quantitative and qualitative analyses of social media data collected through three key stages of the pandemic, to highlight the following: ‘First wave’ (March to May, 2020): negative consequences arising from a disconnect between official health communications, and unofficial Long Covid sufferers’ narratives online. ‘Second wave’ (October 2020 to January 2021): closing the ‘gap’ between official health communications and unofficial patient narratives, leading to a better integration between patient voice, research and services. ‘Vaccination phase’ (January 2021, early stages of the vaccination programme in the UK): continuing and new emerging concerns. Methods We adopted a mixed methods approach involving quantitative and qualitative analyses of 1.38 million posts mentioning long-term symptoms of Covid-19, gathered across social media and news platforms between 1 January 2020 and 1 January 2021, on Twitter, Facebook, Blogs, and Forums. Our inductive thematic analysis was informed by our discourse analysis of words, and sentiment analysis of hashtags and emojis. Results Results indicate that the negative impacts arise mostly from conflicting definitions of Covid-19 and fears around the Covid-19 vaccine for Long Covid sufferers. Key areas of concern are: time/duration; symptoms/testing; emotional impact; lack of support and resources. Conclusions Whilst Covid-19 is a global issue, specific sociocultural, political and economic contexts mean patients experience Long Covid at a localised level, needing appropriate localised responses. This can only happen if we build a knowledge base that begins with the patient, ultimately informing treatment and rehabilitation strategies for Long Covid.
BSA-Coated Gold Nanorods for NIR-II Photothermal Therapy
Authors: Zhao Shubi , Luo Yiqun , Chang Zong , Liu Chenchen , Li Tong , Gan Lu , Huang Yong , Sun Qinchao 
Published: November 2021

AbstractThe second near infrared window is considered to be the optimal optical window for medical imaging and therapy as its capability of deep tissue penetration. The preparation of the gold nanorods with long wavelength absorption and low cytotoxicity is still a challenge. A series gold nanorods with large aspect ratio have been synthesized. Strong plasma absorption in the second near infrared window from 1000 to 1300 nm could be observed. The biocompatibility of the synthesized gold nanorods is dramatically improved via coating by bovine serum albumin (BSA), while the optical properties of which remains. The breast cancer tumor-bearing mouse could be well treated by the prepared gold nanorods with the NIR-II light intensity as low as 0.75 W/cm2. In summary, these results demonstrate the feasibility of using low illumination dose to treat tumor in the NIR-II region via the large aspect ratio gould nanoparticles.
The rhodopsin-retinochrome system for retinal re-isomerization predates the origin of cephalopod eyes
Authors: Vöcking Oliver , Leclère Lucas , Hausen Harald 
Published: November 2021

Abstract
Background
The process of photoreception in most animals depends on the light induced isomerization of the chromophore retinal, bound to rhodopsin. To re-use retinal, the all-trans-retinal form needs to be re-isomerized to 11-cis-retinal, which can be achieved in different ways. In vertebrates, this mostly includes a stepwise enzymatic process called the visual cycle. The best studied re-isomerization system in protostomes is the rhodopsin-retinochrome system of cephalopods, which consists of rhodopsin, the photoisomerase retinochrome and the protein RALBP functioning as shuttle for retinal. In this study we investigate the expression of the rhodopsin-retinochrome system and functional components of the vertebrate visual cycle in a polyplacophoran mollusk, Leptochiton asellus, and examine the phylogenetic distribution of the individual components in other protostome animals.

Results
Tree-based orthology assignments revealed that orthologs of the cephalopod retinochrome and RALBP are present in mollusks outside of cephalopods. By mining our dataset for vertebrate visual cycle components, we also found orthologs of the retinoid binding protein RLBP1, in polyplacophoran mollusks, cephalopods and a phoronid. In situ hybridization and antibody staining revealed that L. asellus retinochrome is co-expressed in the larval chiton photoreceptor cells (PRCs) with the visual rhodopsin, RALBP and RLBP1. In addition, multiple retinal dehydrogenases are expressed in the PRCs, which might also contribute to the rhodopsin-retinochrome system.

Conclusions
We conclude that the rhodopsin-retinochrome system is a common feature of mollusk PRCs and predates the origin of cephalopod eyes. Our results show that this system has to be extended by adding further components, which surprisingly, are shared with vertebrates.
Validation and modification of existing mortality prediction models for lower gastrointestinal bleeding: a retrospective study
Authors: Lee Hyun Seok , Moon Hee Seok , Kwon In Sun , Jeong Hyun Yong , Lee Byung Seok , Kim Seok Hyun , Lee Eaum-Seok , Sung Jae Kyu , Kang Sun Hyung 
Published: November 2021

Abstract
Background
Lower gastrointestinal bleeding (LGIB) often subsides without medical intervention; however, in some cases, the bleeding does not stop and the patient’s condition worsens. Therefore, predicting severe LGIB in advance can aid treatment. This study aimed to evaluate variables related to mortality from LGIB and propose a scoring system.

Methods
In this retrospective study, we reviewed the medical records of patients who visited the emergency room with hematochezia between January 2016 and December 2020. Through regression analysis of comorbidities, medications, vital signs, laboratory investigations, and duration of hospital stay, variables related to LGIB-related mortality were evaluated. A scoring system was developed and the appropriateness with an area under the receiver operating characteristics curve (AUROC) was evaluated and compared with other existing models.

Results
A total of 932 patients were hospitalized for LGIB. Variables associated with LGIB-related mortality were the presence of cancer, heart rate > 100 beats/min, blood urea nitrogen level ≥ 30 mg/dL, an international normalized ratio > 1.50, and albumin level ≤ 3.0 g/dL. The AUROCs of the models CNUH-4 and CNUH-5 were 0.890 (p < 0.001; cutoff, 2.5; 95% confidence interval, 0.0851–0.929) and 0.901 (p < 0.001; cutoff, 3.5; 95% confidence interval, 0.869–0.933), respectively.

Conclusions
The model developed for predicting the risk of LGIB-related mortality is simple and easy to apply clinically. The AUROC of the model was better than that of the existing models.
Establishment and validation of prognosis model for patients with cerebral contusion
Authors: Zhu Yufeng , Jin Xiaoqing , Xu Lulu , Han Pei , Lin Shengwu , Lu Zhongsheng 
Published: November 2021

Abstract
Background And Objective
Cerebral Contusion (CC) is one of the most serious injury types in patients with traumatic brain injury (TBI). In this study, the baseline data, imaging features and laboratory examinations of patients with CC were summarized and analyzed to develop and validate a prediction model of nomogram to evaluate the clinical outcomes of patients.

Methods
A total of 426 patients with cerebral contusion (CC) admitted to the People’s Hospital of Qinghai Province and Affiliated Hospital of Qingdao University from January 2018 to January 2021 were included in this study, We randomly divided the cohort into a training cohort (n = 284) and a validation cohort (n = 142) with a ratio of 2:1.At Least absolute shrinkage and selection operator (Lasso) regression were used for screening high-risk factors affecting patient prognosis and development of the predictive model. The identification ability and clinical application value of the prediction model were analyzed through the analysis of receiver operating characteristic curve (ROC), calibration curve, and decision curve analysis (DCA).

Results
Twelve independent prognostic factors, including age, Glasgow Coma Score (GCS), Basal cistern status, Midline shift (MLS), Third ventricle status, intracranial pressure (ICP) and CT grade of cerebral edema,etc., were selected by Lasso regression analysis and included in the nomogram. The model showed good predictive performance, with a C index of (0.87, 95% CI, 0.026–0.952) in the training cohort and (0.93, 95% CI, 0.032–0.965) in the validation cohort. Clinical decision curve analysis (DCA) also showed that the model brought high clinical benefits to patients.

Conclusion
This study established a high accuracy of nomogram model to predict the prognosis of patients with CC, its low cost, easy to promote, is especially applicable in the acute environment, at the same time, CSF-glucose/lactate ratio(C-G/L), volume of contusion, and mean CT values of edema zone, which were included for the first time in this study, were independent predictors of poor prognosis in patients with CC. However, this model still has some limitations and deficiencies, which require large sample and multi-center prospective studies to verify and improve our results.
Prognostic value of preoperative peripheral blood mean platelet volume/platelet count ratio (MPV/PC) in patients with resectable cervical cancer
Authors: Deng Qicheng , Long Qifang , Liu Yanan , Yang Zhujuan , Du Yibei , Chen Xin 
Published: November 2021

Abstract
Background
The mean platelet volume/platelet count ratio (MPV/PC) ratio based on the preoperative peripheral MPV and PCcan be used to predict the prognosis of multiple malignant tumors.

Objective
To evaluate the prognostic value of MPV/PC in cervical cancer patients.

Methods
This study enrolled 408 patients who had undergone radical surgery for cervical cancer and evaluated the correlation of MPV/PC with patient prognosis in the primary cohort and validation cohort. Additionally, independent prognostic factors were incorporated to construct the prognostic nomogram, and the area under the receiver operating characteristic (ROC) curve (AUC) value was calculated to analyze the prognostic predictive ability of the nomogram.

Results
In the primary cohort, Kaplan–Meier survival analysis indicated that the overall survival (OS) for patients with MPV/PC ≤ 0.41 was significantly lower than that in patients with MPV/PC > 0.41. MPV/PC was an independent prognostic factor for resectable cervical cancer patients. Compared with neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR) or monocyte/lymphocyte ratio (MLR), the AUC values of MPV/PC in predicting the 3- and 5-year survival rates for cervical cancer patients were greater. Similar results were verified in the validation cohort. Subsequently, the nomogram constructed based on MPV/PC, International Federation of Gynecology and Obstetrics (FIGO) classification and lymphovascular invasion performed well to accurately predict the prognosis of cervical cancer patients. The 3- and 5-year survival rates predicted by the nomogram were highly consistent with the real observations. Similar results were also displayed in the validation cohort.

Conclusions
MPV/PC may be used as a novel independent prognostic factor for patients with resectable cervical cancer. Compared with the FIGO classification system, the nomogram integrating MPV/PC maybe reliably predict the survival of cervical cancer patients after radical surgery.
Prognostic characterization of immune molecular subtypes in non-small cell lung cancer to immunotherapy
Authors: Li Chenlu , Pan Jingjing , Luo Jing , Chen Xupeng 
Published: November 2021

Abstract
Background
Non-small cell lung cancer (NSCLC) was usually associated with poor prognosis and invalid therapeutical response to immunotherapy due to biological heterogeneity. It is urgent to screen reliable biomarkers, especially immunotherapy-associated biomarkers, that can predict outcomes of these patients.

Methods
Gene expression profiles of 1026 NSCLC patients were collected from The Cancer Genome Atlas (TCGA) datasets with their corresponding clinical and somatic mutation data. Based on immune infiltration scores, molecular clustering classification was performed to identify immune subtypes in NSCLC. After the functional enrichment analysis of subtypes, hub genes were further screened using univariate Cox, Lasso, and multivariate Cox regression analysis, and the risk score was defined to construct the prognostic model. Other microarray data and corresponding clinical information of 603 NSCLC patients from the GEO datasets were applied to conduct random forest models for the prognosis of NSCLC with 100 runs of cross-validation. Finally, external datasets with immunotherapy and chemotherapy were further applied to explore the significance of risk-scores in clinical immunotherapy response for NSCLC patients.

Results
Compared with Subtype-B, the Subtype-A, associated with better outcomes, was characterized by significantly higher stromal and immune scores, T lymphocytes infiltration scores and up-regulation of immunotherapy markers. In addition, we found and validated an eleven -gene signatures for better application of distinguishing high- and low-risk NSCLC patients and predict patients’ prognosis and therapeutical response to immunotherapy. Furthermore, combined with other clinical characteristics based on multivariate Cox regression analysis, we successfully constructed and validated a nomogram to effectively predict the survival rate of NSCLC patients. External immunotherapy and chemotherapy cohorts validated the patients with higher risk-scores exhibited significant therapeutic response and clinical benefits.

Conclusion
These results demonstrated the immunological and prognostic heterogeneity within NSCLC and provided a new clinical application in predicting the prognosis and benefits of immunotherapy for the disease.