bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification and Validation of Lipid Metabolism-Related LncRNA Prognostic Signature for Patients with Osteosarcoma
Authors: Tang Zhifang , Feng Hanzhen , Shu Longjun , Guo Minzheng , Qi Baochuang , Pu Luqiao , Shi Hongxin , Ren Junxiao , Li Chuan 
Published: December 2022

Abstract
Background: Osteosarcoma(OS) is the most common primary bone malignancy in ado-lescents. The function of lipid metabolism-related lncRNAs in disease progression and prognosis of osteosarcoma remains unclear. This study aimed to explore the role of lipid metabolism-related lncRNAs in osteosarcoma development and prognosis.
Methods: Pearson correlation was used for identification of lipid metabolism-related lncRNAs, and univariate and multivariate Cox regression analyses were used to construct and validate a risk signature to predict the prognosis of OS patients. Functional analysis using Gene set enrichment analysis (GSEA) to elucidate underlying mechanisms. Analysis of potential regulatory mechanisms of lipid metabolism-related lncRNAs using ceRNA networks, and they were preliminarily verified in our tissues using immunohistochemistry (IHC).
Results: We screened two lipid metabolism-related lncRNAs (SNHG17 and LINC00837) to con-struct a risk signature and validated them in the GEO database. The results showed that this risk model was an independent prognostic factor for OS patients. GSEA analysis showed that this signature may be associated with cell proliferation and metabolism-related pathways in OS patients. Cox regression, ROC curve analysis, and a nomogram indicated that the risk model was an independent prognostic factor and it showed potent potential for survival prediction in osteosarcoma. Nomogram integrating risk model and clinical characteristics could predict the prognosis of osteosarcoma patients accurately. Immunohistochemical results showed that CSNK2A2, MIF and VDAC2 were up-regulated in tumor tissues.
Conclusions: In summary, our study demonstrates that lipid-metabolism related-lncRNA could be applied to predict the prognosis of in osteosarcoma accurately.
Enantioselective Construction of Si-Stereogenic Linear Alkenylhy-drosilanes via Copper-Catalyzed Anti-Markovnikov Hydrosilyla-tion of Alkynes
Authors: Xu Yun-He , Xu Jian-Lin , Wang Zi-Lu , Zhao Jinbo 
Published: December 2022

AbstractHerein we report an unprecedented copper-catalyzed asymmetricanti-Markovnikov hydrosilylation of alkynes with dihydrosilanes for the synthesis of silicon-stereogenic alkenyl silanes in good regio- and enantioselectivities. Demonstrated by a diverse collection of substrates, the process grants access to chiral alkenylhydrosilanes with a simple Cu/(S)-Tol-BINAP catalytic system. The origin of the enantiocontrol was investigated by density functional theory (DFT) calculations, which revealed a quite complicated scenario involving multiple pairs of diastereomeric transition structures accounting for the high enantiocontrol under the seemingly simple conditions.
Compression intervention on the thigh using elastic bandage on lateral femoral pain after trochanteric fractures: a multicenter randomized controlled trial
Authors: Kawanishi Kengo , Fukuda Daisuke , Miyashita Toshinori , Kitagawa Takashi , Niwa Hiroyuki , Okuno Taisuke , Kinoshita Takashi , Tsutsumi Masahiro , Kudo Shintarou 
Published: December 2022

Abstract
Management of postoperative pain after trochanteric fracture that is caused by decreased gliding between tissues in the lateral thigh is not established. The aim of this study was to examine the effect of compression of the thigh using an elastic bandage on trochanteric fracture after surgery. This parallel-group, multicenter randomized controlled trial with blinded participants and outcome assessors was conducted in collaboration with the Comprehensive Rehabilitation Unit (sub-acute rehabilitation Unit) in two hospitals. Eligible volunteers (n = 34) with trochanteric fractures after surgery were randomly assigned to two groups. In the compression group, participants practiced standing and walking under compression of the thigh with an elastic bandage. The sham group was blinded to the intervention and practiced standing and walking under non-compression of the thigh with an elastic bandage. Both groups underwent a standard physical therapy program two times a day, daily. Compression of the thigh with an elastic bandage significantly improved subcutaneous tissue thickness, gliding between tissues, lateral thigh pain, hip abduction muscle strength, and knee extension muscle strength. In addition, thigh compression was found to be an effective intervention for improving gait velocity.
Clinical trial registration number:
UMIN Clinical Trial Registry: No. 000038583
Healthcare professional and manager perceptions on drivers, benefits and challenges of telemedicine: results from a cross-sectional survey in the Italian NHS.
Authors: Antonacci Grazia , Benevento Elisabetta , Bonavitacola Sveva , Cannavacciuolo Lorella , Foglia Emanuela , Fusi Giulia , Garagiola Elisabetta , Ponsiglione Cristina , Stefanini Alessandro 
Published: December 2022

Abstract

Background:The Covid-19 pandemic provided new challenges and opportunities for patients and healthcare providers while accelerating the trend of digital healthcare transformation. This study explores the perspectives of healthcare professionals and managers on (i) drivers to the implementation of telemedicine services and (ii) perceived benefits and challenges related to the use of telemedicine across the Italian National Health Service.Methods:An online cross-sectional survey was distributed to professionals working within 308 healthcare organisations in different Italian regions. Quantitative and qualitative data were collected through a self-administered questionnaire (June-September 2021). Responses were analysed using summary statistics and thematic analysis.Results:Key factors driving the adoption of telemedicine have been grouped into (i) organisational drivers (reduce the virus spread-80%; enhance care quality and efficiency-61%), (ii) technological drivers (ease of use-82%; efficacy and reliability-64%; compliance with data governance regulations-64%) and (iii) regulatory drivers (regulations’ semplification-84%). Nearly all respondents perceive telemedicine as useful in improving patient care (96%). The main benefits reported by respondents are shorter waiting lists, reduced Emergency Department attendance, decreased patient and clinician travel, and more frequent patient-doctor interactions. However, only five respondents believe that telemedicine services are more effective than traditional care and 66% of the healthcare professionals believe that telemedicine can’t completely substitute in-person visits due to challenges with physical examination and patient-doctor relationships. Other reported challenges include poor quality and interoperability of telemedicine platforms and scarce integration of telemedicine with traditional care services. Moreover, healthcare professionals believe that some groups of patients experience difficulties in accessing and using the technologies due to socio-cultural factors, technological and linguistic challenges and the absence of caregivers.Conclusions:Respondents believe that telemedicine can be useful to complement and augment traditional care.However, many challenges still need to be overcome to fully consider telemedicine a standard of care.Strategies that could help address these challenges include additional regulations on data governance and reimbursements, evidence-based guidelines for the use of telemedicine, greater integration of tools and processes, patient-centred training for clinicians, patient-facing material to assist patients in navigating virtual sessions, different language options, and greater involvement of caregivers in the care process.
The association between menstrual cycle abnormalities and the COVID-19 vaccine
Authors: Khalil Asma , Sultan Mada , Raggam Albara , Khan Mohammed 
Published: December 2022

Abstract
Introduction
COVID-19 vaccines are considered safe and offer great protection from the virus. However, they can have several side effects including fever, fatigue, and local pain and swelling. Recently a trend in the drug adverse events reporting systems showed an increased number of female vaccine recipients having menstrual cycle abnormalities post-vaccination.
Aim
This study aimed to determine the association between menstrual cycle abnormalities and the COVID vaccines.
Subjects and methods
This is a cross-sectional study conducted among reproductive-age women aged between 18 and 50 years old. A self-administered questionnaire was distributed among women using an online survey. The questionnaire includes basic demographic characteristics, the number of received vaccine doses, the type of vaccines, and the changes in menstrual cycles after receiving the COVID-19 vaccine.
Results
700 reproductive age women met the inclusion criteria. After the first dose there was a significant change in menstrual cycle regularity P-value 0.009 (95% confidence interval 0.402-0.881) and odds ratio of (0.595). However, there was no significant change after the second and third dose p-value 0.065 and 0.055 respectively. The data also indicated a significant change in the menses flow; P-value (<0.001), with more women experiencing a reduction or increase in their period flow.
Conclusion
This study identifies a possible association between menstrual cycle abnormalities and COVID-19 vaccination. This was noted most after the first dose. Menstrual cycle abnormalities were in the form of changes in cycle length, duration of bleeding, premenstrual symptoms, and having missed periods. Menstrual changes are not uncommon but are transient and should not be alarming for women yet awareness about this experience is an instrumental factor to build trust in the COVID-19 vaccine.
Unmixing of PAHs in Contaminated Sediments Using Positive Matrix Factorization
Authors: Saba Tarek 
Published: December 2022

Abstract
One of the challenges to apportioning PAH-related remedy costs at contaminated sediment Sites is unmixing of PAH fingerprints to PAH source classes (petrogenic, pyrogenic, and runoff, a derivative of petrogenic and pyrogenic sources). Unmixing of PAHs can be challenged by lack of source samples, different PAH signatures associated with different sources (or sometimes the same source), historical PAH sources long removed, urban sediment movement by boat traffic and, in turn, PAHs mixing, and weathering effects on PAH fingerprints. This work demonstrates using Positive Matrix Factorization (PMF) as a method to unmix PAH fingerprints to its source classes, while overcoming these challenges. A large PAH dataset (over 700 samples) assembled from contaminated urban sediment sites was used as an input to PMF. Using a 3-Factor PMF analysis, a petrogenic, pyrogenic, and runoff/weathered PAH end member fingerprints were identified. Different numerical mixing percentages of the PMF-identified end member sources were able to replicate the site-measured PAH fingerprints, with the percent contribution of each of the end members to each sediment sample calculated. In addition, the analysis calculated the percent contribution of each end member source to each PAH compound (e.g., benzo([a]pyrene). The demonstrated work provides a method to satisfy the unmixing of PAH fingerprints to its source classes, as a step towards apportioning of PAH contamination.
Trend analysis in gridded rainfall data using Mann –Kendall and Spearman’s rho tests in Kesinga catchment of Mahanadi river basin, India
Authors: pereli Pereli chinna vani , Sahoo B. C. , Paul J. C. , Sahu A. P , Mohapatra A. K. B. 
Published: December 2022

Abstract

The article provides a long-term trend analysis of the Kesinga catchment daily gridded rainfall at a (0.25°*0.25°) high spatial resolution from the years 1901 to 2020 (120 years). The trend in seasonal and annual rainfall was therefore detected using nonparametric statistical tests spearman’s rho and Mann-Kendall, smoothing curve, Sen’s slope test, and plot of innovative rend analysis. The results showed that statistically significant trends (SSTs) had a pattern with both positive (increasing) and negative (decreasing) trends, with positive and negative trends evident in the winter and negative trends shown in the monsoon, PREMON, and annual seasons. The middle of the study area revealed the highest negative trend and the lower Kesinga catchment showed the lowest negative annual rainfall trend. The entire Kesinga catchment, the seasonal data and annual rainfall both showed statistically significant and non-significant patterns. Consistently, the MK and SR tests were both conducted at the validated significance level. In various contexts, the massive trend that has occurred with statistical significance were negative (70%). If the current pattern continues in the future, then there will be a scarcity of water and more strain on the control of water resources at the given grids in corresponding temporal scales.
Practice of pharmaceutical care by community pharmacists in response to self-medication request for a cough: a simulated client study
Authors: Loh Pengyeow , Lee Jason Whuan Chuian , Karuppannan Mahmathi , Chua Siew Siang 
Published: December 2022

Abstract
Background: Community pharmacy practice worldwide has been shifting from product-focused to patient-oriented. However, due to the absence of separation between prescribing and dispensing in Malaysia, community pharmacists may have limited roles in the provision of pharmaceutical care to patients with chronic diseases. Therefore, the main functions of community pharmacists in Malaysia are related to self-medication requests for minor ailments and the supply of non-prescription medications. The objective of this study was to determine the practice of pharmaceutical care by Malaysian community pharmacists in response to self-medication requests for a cough.
Methods: This study utilised a simulated client method. A research assistant, acting as a simulated client, visited community pharmacies in the Klang Valley, Malaysia to consult the pharmacists on the treatment of a cough experienced by his father. Upon leaving the pharmacy premise, the simulated client entered the pharmacist’s responses in a data collection form which was structured based on pharmacy mnemonics for the response to symptoms, OBRA'90 on counselling elements, the five practice principles of pharmaceutical care by the American Pharmacists Association and literature review. Visits to the community pharmacies were conducted from September to October 2018.
Results: The simulated client visited a total of 100 community pharmacies. None of these community pharmacists practised adequate patients' data collection, with only 13%, 15% and 3% practised all the components studied under medication information evaluation, formulating a drug therapy plan, and monitoring and modifying the plan, respectively. None of the 98 community pharmacists who recommended treatment provided all the counselling elements studied in implementing the drug therapy plan.
Conclusion: The present study showed that community pharmacists in Malaysia were not providing adequate pharmaceutical care services to patients seeking self-medication for a cough. Such practice may compromise patient safety if inappropriate medicines or advice are given.
Estimating generation time of SARS-CoV-2 variants in Italy from the daily incidence rate
Authors: Lippiello Eugenio , Petrillo Giuseppe , Baccari Silvio , de Arcangelis Lucilla 
Published: December 2022

Abstract
The identification of the transmission parameters of a virus is fundamental to identify the optimal public health strategy. These parameters can present significant changes over time caused by genetic mutations or viral recombination, making their continuous monitoring fundamental. Here we present a method, suitable for this task, which uses as unique information the daily number of reported cases. The method is based on a time since infection model where transmission parameters are obtained by means of an efficient maximization procedure of the likelihood. Applying the method to SARS-CoV-2 data in Italy, we find an average generation time z̄ = 3.2 ± 0.8 days, during the temporal window when the majority of infections can be attributed to the Omicron variants. At the same time we find a significantly larger value z̄ = 6.2 ± 1.1 days, in the temporal window when spreading was dominated by the Delta variant. We are also able to show that the presence of the Omicron variant, characterized by a shorter z̄, was already detectable in the first weeks of December 2021, in full agreement with results provided by sequences of SARS-CoV-2 genomes reported in national databases. Our results therefore show that the novel approach can indicate the existence of virus variants, resulting particularly useful in situations when information about genomic sequencing is not yet available. At the same time, we find that the standard deviation of the generation time does not significantly change among variants.
Light Ion Dynamics in the Topside Ionosphere and Plasmasphere during Geomagnetic Storms
Authors: Pakhotin Ivan , Burchill Johnathan , Förster Matthias , Lomidze Levan 
Published: December 2022

Abstract
Storm-time topside ionosphere plasma composition, especially the light ion fraction, is an important parameter which controls magnetosphere-ionosphere coupling, plays a part in the growth of local instabilities, and provides information about the ring current, ion upflow, movement of ionization and other important physical processes and parameters. Ion composition is difficult to estimate on fine scales as empirical models tend to be parametrized by fixed inputs, ignoring the role of memory in plasma, and to preferentially capture large scales, while ground radars have limited coverage. In particular, ionospheric composition measurements at mid-latitude are lacking. Here we show, using the new Swarm SLIDEM effective ion mass measurement, a superposed epoch analysis of storm-time dayside and nightside effective ion mass changes, demonstrating the extent and timescales of motion of the [O+]/[H+] transition height with the main phase of geomagnetic storms, as well as directly observing evidence for the latitude dependence of these dynamics.
Prognostic signature of transmembrane protein family gene for Hepatocellular carcinoma patients based on transcriptomics
Authors: Liu Kejun , Lv Yongxue , Tang Chaofeng , Yao Weijie , Yang Bu , Chen Bendong 
Published: December 2022

Abstract
Transmembrane protein (TMEM) genes family are presented in the biological membrane. The TMEM gene family is involved in the proliferation, invasion, and migration of carcinogenesis in digestive system cancers. We therefore probe extremely into the molecular mechanism and prognostic signature of TMEM genes in hepatocellular carcinoma (HCC). Here, based on independent prognostic TMEM genes, we established a signature in HCC: risk score= TMEM69*0.196+TMEM39B*0.0196+TMEM67*0.0476+TMEM126A*0.057+TMEM81*0.022+TMEM106C*0.083+TMEM251*0.231. With this signature, patients were grouped into low-risk and high-risk groups, with high-risk groups having poorer survival rates. This signature was validated in an independent cohort of 106 patients. For genes positively co-expressed with TMEM-signature genes, gene set enrichment analysis revealed that the genes are enriched mainly in spliceosomes, RNA transport, and the cell cycle. The prognostic model was associated with tumor immune cell infiltration, immune function, and immune checkpoint gene expression. Taken together, our study reveals that TMEM genes family plays an influential role in initiation and progression of HCC. We construct an effective prognostic signature of the TMEM family of genes that can identify high-risk HCC patients, providing a reference for risk prognosis assessment of HCC. Targeting the TMEM gene family in combination with immune checkpoint inhibitors promises to provide a fresh perspective on the treatment of HCC.
Liver X receptors in the lung, a link between cigarette smoke and lung cancer
Authors: Wu Wanfu , Sarhadi Mozhgan , song Xiaoyu , Xue Jingling , Dai Yu-bing , Gustafsson Jan-Ake 
Published: December 2022

AbstractCigarette smoking (CS) is one of the principal risk factors leading to development of lung cancer. Macrophage dysfunction and immune escape have been suggested as mechanisms of CS-induced lung cancer. Liver X receptors (LXRαβ) play essential roles in the maintenance of the normal functions of macrophages and in modulation of immune system responses. Here we report the spontaneous development, in 18-month-old LXRαβ−/−mouse lungs, of a lesion resembling a rare subtype of non-small-cell lung cancer, i.e., one that is both TTF-1and p63-positive. The lesion is characterized by a high proliferation rate, a marked accumulation of abnormal macrophages, an increase in the number of regulatory T cells and a remarkably low level of cytotoxic T lymphocytes, and increased expression of matrix metalloproteinases accompanied by degradation of collagen. In addition, enhanced TGFβ signaling was evidenced by the upregulation of TGFβ1, TGFβR1, TGFβR2, pSMAD2 and SMAD4 and a downregulation of TGFβR3. Examination of a tissue microarray of lung cancer patients with a history of smoking revealed that expression of LXRαβ was repressed in both tumor-associated macrophages (TAM) and in cancer cells. There were three correlations: 1) Upregulation of MMP12 in the TAM correlated with downregulation of LXRαβ; 2) shorter overall survival (OS) correlated with high expression of MMP12; 3) longer OS correlated with high expression of either LXRα or LXRβ. The study reveals an unexpected role for loss of LXRαβ in the etiology of TTF-1/p63-positive lung cancer and suggests that maintenance of LXRαβ may have a beneficial role in treatment/prevention of this disease.
Combining Fission-Track Radiography and Scanning Electron Microscopy to Elucidate Uranium Mobility Controls
Authors: Sultana Rakiba , Dangelmayr Martin A , Paradis Charles J , Johnson Raymond H. 
Published: December 2022

Abstract
Residual solid-phase uranium from former mill tailings leachate can contribute to persistent concentrations of uranium in groundwater that exceed regulatory levels. Microscale characterization of uranium-contaminated sediment samples is lacking due to the challenges of detecting uranium at the parts-per-million level and identifying its associations with co-occurring elements. An emerging methodology, fission-track radiography, was applied to detect low-level solid-phase uranium. Scanning electron microscopy and energy dispersive x-ray spectroscopy were used to elucidate uranium associations with co-occurring aluminum, iron, and phosphorous. Uranium-contaminated sediments were collected from the upgradient source zone and downgradient plume zone aquifer sediments at Riverton, Wyoming, USA. The combined microscopic analyses showed that the uranium primarily co-occurred with amorphous aluminum hydroxide and ferric hydroxide coatings in the source zone as opposed to proximal crystalline Fe-rich grains. In the plume zone, uranium primarily co-occurred with apatite as opposed to proximal iron sulfides. The unique geochemical associations of solid-phase uranium with co-occurring aluminum hydroxide, ferric hydroxide, and apatite, as opposed to other proximal minerals, suggested that a select suite of equilibrium and kinetic reactions controls its persistence in groundwater. The combined methodology applied in this study pinpointed the potential suite of uranium reactions that can be used to inform geochemical models for further mechanistic insight and forward simulations of the fate and transport of uranium at contaminated sites.