bluuebunny/crossref_metadata_2025_split huggingface dataset:
Unraveling complex relationships between COVID-19 risk factors using machine learning based models for predicting mortality of hospitalized patients and identification of high-risk group: a large retrospective study
Authors: Banoei Mohammad Mehdi , Rafiepoor Haniyeh , Zendehdel Kazem , Seyyedsalehi Monireh Sadat , Nahvijou Azin , Allameh Farshad , Amanpour Saeid 
Published: May 2023

BackgroundAt the end of 2019, the coronavirus disease 2019 (COVID-19) pandemic increased the hospital burden of COVID-19 caused by the SARS-Cov-2 and became the most significant health challenge for nations worldwide. The severity and high mortality of COVID-19 have been correlated with various demographic characteristics and clinical manifestations. Prediction of mortality rate, identification of risk factors, and classification of patients played a crucial role in managing COVID-19 patients. Our purpose was to develop machine learning (ML)-based models for the prediction of mortality and severity among patients with COVID-19. Identifying the most important predictors and unraveling their relationships by classification of patients to the low-, moderate- and high-risk groups might guide prioritizing treatment decisions and a better understanding of interactions between factors. A detailed evaluation of patient data is believed to be important since COVID-19 resurgence is underway in many countries.ResultsThe findings of this study revealed that the ML-based statistically inspired modification of the partial least square (SIMPLS) method could predict the in-hospital mortality among COVID-19 patients. The prediction model was developed using 19 predictors including clinical variables, comorbidities, and blood markers with moderate predictability (Q2 = 0.24) to separate survivors and non-survivors. Oxygen saturation level, loss of consciousness, and chronic kidney disease (CKD) were the top mortality predictors. Correlation analysis showed different correlation patterns among predictors for each non-survivor and survivor cohort separately. The main prediction model was verified using other ML-based analyses with a high area under the curve (AUC) (0.81−0.93) and specificity (0.94−0.99). The obtained data revealed that the mortality prediction model can be different for males and females with diverse predictors. Patients were classified into four clusters of mortality risk and identified the patients at the highest risk of mortality, which accentuated the most significant predictors correlating with mortality.ConclusionAn ML model for predicting mortality among hospitalized COVID-19 patients was developed considering the interactions between factors that may reduce the complexity of clinical decision-making processes. The most predictive factors related to patient mortality were identified by assessing and classifying patients into different groups based on their sex and mortality risk (low-, moderate-, and high-risk groups).
DRSN4mCPred: accurately predicting sites of DNA N4-methylcytosine using deep residual shrinkage network for diagnosis and treatment of gastrointestinal cancer in the precision medicine era
Authors: Yu Xia , Ren Jia , Cui Yani , Zeng Rao , Long Haixia , Ma Cuihua 
Published: May 2023

IntroductionThe DNA N4-methylcytosine (4mC) site levels of those suffering from digestive system cancers were higher, and the pathogenesis of digestive system cancers may also be related to the changes in DNA 4mC levels. Identifying DNA 4mC sites is a very important step in studying the analysis of biological function and cancer prediction. Extracting accurate features from DNA sequences is the key to establishing a prediction model of effective DNA 4mC sites. This study sought to develop a new predictive model, DRSN4mCPred, which aimed to improve the performance of the predicting DNA 4mC sites.MethodsThe model adopted multi-scale channel attention to extract features and used attention feature fusion (AFF) to fuse features. In order to capture features information more accurately and effectively, this model utilized Deep Residual Shrinkage Network with Channel-Wise thresholds (DRSN-CW) to eliminate noise-related features and achieve a more precise feature representation, thereby, distinguishing the sites in DNA with 4mC and non-4mC. Additionally, the predictive model incorporated an inverted residual block, a Multi-scale Channel Attention Module (MS-CAM), a Bi-directional Long Short Term Memory Network (Bi-LSTM), AFF, and DRSN-CW.Results and DiscussionThe results indicated the predictive model DRSN4mCPred had extremely good performance in predicting the DNA 4mC sites across different species. This paper will potentially provide support for the diagnosis and treatment of gastrointestinal cancer based on artificial intelligence in the precise medical era.
The transcription factor Ste12-like increases the mycelial abiotic stress tolerance and regulates the fruiting body development of Flammulina filiformis
Authors: Lyu Xiaomeng , Wang Qingji , Liu Ao , Liu Fang , Meng Li , Wang Panmeng , Zhang Yan , Wang Li , Li Zhuang , Wang Wei 
Published: May 2023

IntroductionFlammulina filiformis is one of the most commercially important edible fungi worldwide, with its nutritional value and medicinal properties. It becomes a good model species to study the tolerance of abiotic stress during mycelia growth in edible mushroom cultivation. Transcription factor Ste12 has been reported to be involved in the regulation of stress tolerance and sexual reproduction in fungi.MethodsIn this study, identification and phylogenetic analysis of ste12-like was performed by bioinformatics methods. Four ste12-like overexpression transformants of F. filiformis were constructed by Agrobacterium tumefaciens-mediated transformation.Results and DiscussionPhylogenetic analysis showed that Ste12-like contained conserved amino acid sequences. All the overexpression transformants were more tolerant to salt stress, cold stress and oxidative stress than wild-type strains. In the fruiting experiment, the number of fruiting bodies of overexpression transformants increased compared with wild-type strains, but the growth rate of stipes slowed down. It suggested that gene ste12-like was involved in the regulation of abiotic stress tolerance and fruiting body development in F. filiformis.
Deep learning assessment compared to radiologist reporting for metastatic spinal cord compression on CT
Authors: Hallinan James Thomas Patrick Decourcy , Zhu Lei , Zhang Wenqiao , Ge Shuliang , Muhamat Nor Faimee Erwan , Ong Han Yang , Eide Sterling Ellis , Cheng Amanda J. L. , Kuah Tricia , Lim Desmond Shi Wei , Low Xi Zhen , Yeong Kuan Yuen , AlMuhaish Mona I. , Alsooreti Ahmed Mohamed , Kumarakulasinghe Nesaretnam Barr , Teo Ee Chin , Yap Qai Ven , Chan Yiong Huak , Lin Shuxun , Tan Jiong Hao , Kumar Naresh , Vellayappan Balamurugan A. , Ooi Beng Chin , Quek Swee Tian , Makmur Andrew 
Published: May 2023

IntroductionMetastatic spinal cord compression (MSCC) is a disastrous complication of advanced malignancy. A deep learning (DL) algorithm for MSCC classification on CT could expedite timely diagnosis. In this study, we externally test a DL algorithm for MSCC classification on CT and compare with radiologist assessment.MethodsRetrospective collection of CT and corresponding MRI from patients with suspected MSCC was conducted from September 2007 to September 2020. Exclusion criteria were scans with instrumentation, no intravenous contrast, motion artefacts and non-thoracic coverage. Internal CT dataset split was 84% for training/validation and 16% for testing. An external test set was also utilised. Internal training/validation sets were labelled by radiologists with spine imaging specialization (6 and 11-years post-board certification) and were used to further develop a DL algorithm for MSCC classification. The spine imaging specialist (11-years expertise) labelled the test sets (reference standard). For evaluation of DL algorithm performance, internal and external test data were independently reviewed by four radiologists: two spine specialists (Rad1 and Rad2, 7 and 5-years post-board certification, respectively) and two oncological imaging specialists (Rad3 and Rad4, 3 and 5-years post-board certification, respectively). DL model performance was also compared against the CT report issued by the radiologist in a real clinical setting. Inter-rater agreement (Gwet’s kappa) and sensitivity/specificity/AUCs were calculated.ResultsOverall, 420 CT scans were evaluated (225 patients, mean age=60 ± 11.9[SD]); 354(84%) CTs for training/validation and 66(16%) CTs for internal testing. The DL algorithm showed high inter-rater agreement for three-class MSCC grading with kappas of 0.872 (p&lt;0.001) and 0.844 (p&lt;0.001) on internal and external testing, respectively. On internal testing DL algorithm inter-rater agreement (κ=0.872) was superior to Rad 2 (κ=0.795) and Rad 3 (κ=0.724) (both p&lt;0.001). DL algorithm kappa of 0.844 on external testing was superior to Rad 3 (κ=0.721) (p&lt;0.001). CT report classification of high-grade MSCC disease was poor with only slight inter-rater agreement (κ=0.027) and low sensitivity (44.0), relative to the DL algorithm with almost-perfect inter-rater agreement (κ=0.813) and high sensitivity (94.0) (p&lt;0.001).ConclusionDeep learning algorithm for metastatic spinal cord compression on CT showed superior performance to the CT report issued by experienced radiologists and could aid earlier diagnosis.
Evaluation and clinical implications of interactions between compound Danshen dropping pill and warfarin associated with the epoxide hydrolase gene
Authors: Chen Xixi , Zuo Xurui , Zhao Yingqiang , Huang Yuhong , Lv Chunxiao 
Published: May 2023

Introduction: In clinical practice, warfarin is often combined with Compound Danshen dripping pill (CDDP) for the treatment of cardiovascular diseases. However, warfarin has a narrow therapeutic index, wide interindividual variability (genetic and non-genetic factors), and is susceptible to drug-drug interactions. Our previous study indicated that CDDP might interact with warfarin in individuals with the epoxide hydrolase gene (EPHX1; single-nucleotide polymorphism: rs2292566) A/A subtype. We sought to clarify the interaction between CDDP and warfarin associated with EPHX1 in a comprehensive and accurate manner.Methods: Here, EPHX1 A and EPHX1 G cell lines were established. Expression of microsomal epoxide hydrolase (mEH), vitamin K epoxide reductase (VKOR), and vitamin K-dependent clotting factors (FII, FVII, FIX, FX) was measured by western blotting upon incubation with CDDP and warfarin. mEH activity was evaluated by measuring the transformation of epoxyeicosatrienoic acids into dihydroxyeicosatrienoic acids. Then, healthy volunteers (HVs) with the EPHX1 A/A genotype were recruited and administered warfarin and CDDP to investigate the pharmacokinetics and pharmacodynamics of warfarin.Results: CDDP combined with warfarin could decrease expression of mEH and VKOR, and increase protein expression of FII, FVII, FIX, and FX, in EPHX1 A cells. CDDP could slightly influence the pharmacokinetics/pharmacodynamics of warfarin in HVs with the EPHX1 A/A genotype.Discussion: Rational combination of CDDP and warfarin was safe with no risk of bleeding, but the therapeutic management is also needed. The clinical study is posted in the China Clinical Trial Registry (ChiCTR190002434).
Review on melanosis coli and anthraquinone-containing traditional Chinese herbs that cause melanosis coli
Authors: Zhang Ruiyuan , Huang Cai , Wu Fan , Fang Ke , Jiang Shujun , Zhao Yan , Chen Guang , Dong Ruolan 
Published: May 2023

Backgrounds: The incidence of melanosis coli (MC) has gradually increased annually, attracting significant attention and efforts into this field. A potential risk for MC is the long-term use of anthraquinone laxatives in patients with constipation. Most traditional cathartic drugs are made from herbs containing anthraquinone compounds. This review aims to provide guidance for the application of traditional Chinese herbs containing anthraquinones for physicians and researchers.Materials and methods: We reviewed risk factors and pathogenesis of MC, and natural anthraquinones isolated from TCM herbs. We searched Pubmed and CNKI databases for literature related to MC with keywords such as“traditional Chinese medicine”, “Chinese herbs”, “anthraquinones”, and “melanosis coli”. The literature is current to January 2023 when the searches were last completed. After the literature retrieval, the TCM herbs containing anthraquinones (including component identification and anthraquinone content determination) applied in clinical were selected. According to the collected evidence, we provide a list of herbs containing anthraquinones that could cause MC.Results: We identified 20 herbs belonging to 7 families represented by Polygonaceae, Fabaceae, Rhamnaceae, and Rubiaceae, which may play a role in the pathogenesis of MC. Among these, the herbs most commonly used include Dahuang (Rhei Radix et Rhizome), Heshouwu (Radix Polygoni Multiflori), Huzhang (Rhizoma Polygoni Cuspidati), Juemingzi (Semen Cassiae), Luhui (Aloe) and Qiancao (Rubiae Radix et Rhizoma).Conclusion: Due to a lack of awareness of the chemical composition of TCM herbs, many patients with constipation and even some TCM physicians take cathartic herbal remedies containing abundant anthraquinones to relieve defecation disturbances, resulting in long-term dependence on these herbs, which is potentially associated with most cases of MC. When such treatments are prescribed, TCM physicians should avoid long-term use in large doses to reduce their harm on colonic health. Individuals who take healthcare products containing these herbs should also be under the supervision of a doctor.
Surface electromyographic (sEMG) activity of the suprahyoid and sternocleidomastoid muscles in pitch and loudness control
Authors: Wang Feifan , Yiu Edwin M.-L. 
Published: May 2023

Purpose: This study set out to determine the contributions of the suprahyoid and sternocleidomastoid (SCM) muscles in changing pitch and loudness during phonation among vocally healthy populations.Method: Thirty-nine participants were first recruited, and twenty-nine of them who passed the screening test (Voice Handicap Index [VHI]-10 score ≤11, auditory-perceptual voice rating score ≤2) were finally selected (mean age = 28.2 years). All participants were measured for their surface electromyographic (sEMG) activity collected from the bilateral suprahyoid and SCM muscles when producing the vowel /a/, /i/, and /u/ in natural (baseline) and at different pitch (+3, +6, -3, -6 semitones) and loudness (+5, +10, −5 dB) levels. Linear mixed-effects models were performed to determine the influencing factors on the root-mean-square percentage of maximal voluntary contraction (RMS %MVC) value of the sEMG signals.Results: Compared with the baseline, a significant decrease of RMS %MVC was found in the suprahyoid muscles during overall phonations of lower pitches (−3 and −6 semitones) and loudness (−5 dB). However, no significant change was detected when producing speech at higher pitch (+3 and +6 semitones) and loudness (+5 and +10 dB) levels. Among the three vowels, /i/ demonstrated significantly higher RMS %MVC than those of /a/ and /u/. The SCM muscles, however, did not show any significant change in the RMS %MVC values among different vowels in relation to the pitch and loudness changes. When the muscles were compared across the two sides, significantly higher RMS %MVC was found in the right side of the suprahyoid (in pitch and loudness control) and SCM (in pitch control) when compared to the left side.Conclusions: The suprahyoid muscle activities were significantly decreased when producing lower pitches and intensities compared to the natural baselines. The production of sustained /i/ required significantly more suprahyoid muscle activities than those of /a/ and /u/. The SCM muscles did not show much sEMG activity in any of the pitch and loudness levels, which could be used potentially as the calibration or normalization of peri-laryngeal sEMG measurement. The findings also showed a tendency for bilateral asymmetry in the use of suprahyoid and SCM muscles.
Sharp inequalities for the Neuman-Sandor mean in terms of arithmetic and contra-harmonic means
Authors: Chu Yu-Ming , Wang Miao-Kun , Liu Bao-Yu 
Published: May 2023

In this paper, we find the greatest values \(\alpha\) and \(\lambda\), and the least values \(\beta\) and \(\mu\) such that the double inequalities \[C^{\alpha}(a,b)A^{1-\alpha}(a,b)<M(a,b)<C^{\beta}(a,b)A^{1-\beta}(a,b)\] and
\begin{align*}
&[C(a,b)/6+5 A(a,b)/6]^{\lambda
}\left[C^{1/6}(a,b)A^{5/6}(a,b)\right]^{1-\lambda}<M(a,b)<\\
&\qquad<[C(a,b)/6+5
A(a,b)/6]^{\mu}\left[C^{1/6}(a,b)A^{5/6}(a,b)\right]^{1-\mu}
\end{align*}
hold for all \(a,b>0\) with \(a\neq b\), where \(M(a,b)\), \(A(a,b)\) and \(C(a,b)\) denote the Neuman-Sándor, arithmetic, and contra-harmonic means of \(a\) and \(b\), respectively.
Proceso de atención de enfermería en el cuidado al paciente COVID-19
Authors: Valle-Dávila María Fernanda , Flores Grijalba Mercedes del Carmen , Acosta Balseca Silvia Lorena , Vásquez Figueroa Tatiana Isabel , Morejón Jácome Gladys Edelmira 
Published: May 2023

El profesional de enfermería ha desempeñado un rol fundamental en el cuidado al paciente durante la pandemia por COVID-19. Las acciones de enfermería en el cuidado al paciente están sustentadas en el Proceso de Atención de Enfermero (PAE). Objetivo. Describir los parámetros de valoración, diagnósticos e intervenciones que los profesionales de enfermería aplicaron en sus procesos de atención al paciente diagnosticado con COVID-19. Materiales y método. Estudio de abordaje cuantitativo y descriptivo, la población estuvo constituida por 240 profesionales de enfermería que laboraron en servicios de atención al paciente COVID-19 en 4 hospitales públicos de la Zona 1 del Ecuador, se aplicó un cuestionario de 21 preguntas de tipo Likert. Resultados. La valoración al paciente se ejecutó mayoritariamente a través de las 14 Necesidades Básicas descritas por Henderson. Entre los diagnósticos más priorizados se encuentran patrón respiratorio ineficaz, deterioro del intercambio gaseoso y deterioro de la respiración espontánea. Las intervenciones más frecuentes fueron oxigenoterapia, ayuda a la ventilación y monitorización respiratoria, termorregulación y manejo de ventilación mecánica no invasiva, manejo de la vía aérea y monitorización de signos vitales. Conclusiones. Se concluye que la aplicación del proceso de atención de enfermería es fundamental en la práctica profesional, con la valoración integral, diagnósticos priorizados e intervenciones se contribuyó a mejorar y mantener el estado de salud de los pacientes. En este sentido es fundamental el fortalecimiento de esta metodología propia de la disciplina a través de su aplicación.
THE PERFORMANCE AND SEAMLESSNESS ANALYSIS OF LTE NETWORK BY SDN METHODS USING
Authors: Садыков И.С. , Хашумов И.У. , Занаева З.С. 
Published: May 2023

Мобильность пользовательского оборудования (UE) в сотовой сети является сложной задачей с точки зрения контроля и управления. Текущая традиционная передача обслуживания в сети Long-Term Evolution (LTE) управляется усовершенствованным узлом B или eNodeB (eNB), который представляет собой децентрализованное решение. В отличие от существующей технологии, программно-определяемая сеть (SDN) имеет возможность обслуживать пакеты коммутационного оборудования без участия контроллера SDN, за исключением первого. В соответствии с нашим решением «бесшовный» переход активного мобильного устройства из зоны действия одной базовой станции в зону действия другой без разрыва соединения - так называемый «хэндовер» (handover) управляется контроллером SDN, который отслеживает общее управление сетью и диктует записи потоков для коммутаторов OpenFlow в сети. Из результатов исследования будет видно, что наш подход отслеживает всю сеть на централизованном контроллере с улучшенной производительностью.
User equipment (UE) mobility in a cellular network is a complex task in terms of control and management. The current legacy Long-Term Evolution (LTE) network handoff is managed by an evolved Node B or eNodeB (eNB), which is a decentralized solution. Unlike existing technology, software-defined network (SDN) has the ability to serve packets of switching equipment without the participation of the SDN controller, except for the first one. In accordance with our solution, a "seamless" transition of an active mobile device from the coverage of one base station to the coverage of another without breaking the connection - the so-called "handover" (handover) is controlled by the SDN controller, which monitors the overall management of the network and dictates flow records for OpenFlow switches online. From the results of the study, it will be seen that our approach monitors the entire network on a centralized controller with improved performance.
THE PROSPECT OF USING GRAPHENE BATTERIES: THE FUTURE OF HYBRID BATTERIES
Authors: Аветисян А.С. 
Published: May 2023

Данная научно-исследовательская работа была посвящена практическому применению графена в сфере энергетики, а именно в создании аккумуляторов будущего. Выполнен анализ и раскрыта перспектива применения графена в создании гибридных батарей, имеющие преимущества по сравнению литий-ионными аккумуляторами.
This research work was devoted to the practical application of graphene in the field of energy, namely in the creation of batteries of the future. The analysis is carried out and the prospect of using graphene in the creation of hybrid batteries, which have advantages over lithium-ion batteries, is revealed.
PROBLEMS AND TRENDS OF EDUCATION IN THE MODERN WORLD
Authors: Алисултанова Э.Д. , Бетербиева А.И. , Шудуева З.А. , Умарова Л.С. 
Published: May 2023

В статье рассматриваются основные проблемы, а также тренды, которые в будущей системе образования связывают не только с поиском новых форматов обучения, но и новых ролей для всех участников образовательного процесса.
The article discusses the main problems, as well as trends that in the future education system are associated not only with the search for new learning formats, but also new roles for all participants in the educational process.
DIGITAL PEDAGOGY AS A FACTOR OF IMPROVING THE EDUCATIONAL SERVICES QUALITY
Authors: Моисеенко Н.А. , Эрзанукаева М.М. 
Published: May 2023

В статье обосновывается идея поддержки и просвещения академического персонала, чтобы сделать осознанный выбор того, как они используют технологии для поддержки учебной программы.
The article substantiates the idea of supporting and educating academic staff to make informed choices about how they use technology to support the curriculum.
CURRENT PROBLEMS OF MODERN EDUCATION DIGITAL TRANSFORMATION
Authors: Карпенко О.А. 
Published: May 2023

В настоящий момент все общество и экономика подвергается интенсивной цифровизации, в результате которой неизбежно возникают всевозможные проблемы, несоответствия и казусы, влияющие на те или иные аспекты человеческой жизнедеятельности и психического здоровья.Особенно значимыми являются трансформационные проблемы, связанные с цифровизацией в системе образования. Отметим и кратко охарактеризуем наиболее значимые и актуальные проблемы, возникающие в связи с переходом к цифровизации образовательного процесса.
At the moment, the entire society and economy is undergoing intensive digitalization, as a result of which all sorts of problems, inconsistencies and incidents inevitably arise that affect certain aspects of human life and mental health.Particularly significant are the transformational problems associated with digitalization in the education system. We will note and briefly characterize the most significant and urgent problems that arise in connection with the transition to digitalization of the educational process.