bluuebunny/crossref_metadata_2025_split huggingface dataset:
An LSTM and GRU based Trading Strategy Adapted to the Moroccan Market
Authors: Touzani Yassine , Douzi Khadija 
Published: June 2021

Abstract
Forecasting stock prices is an extremely challenging job considering the high volatility and the number of variables that influence it (political, economical, social, etc.). Predicting the closing price provides useful information and helps the investor to make the right decision. The use of deep learning and more precisely the recurrent neural networks RNNs in stock market forecasting is an increasingly common practice in the literature. The Long Short Term Memory LSTM and Gated Recurrent Unit GRU architectures are among the most widely used types of RNN networks, given their suitability for sequential data. In this paper, we propose a trading strategy designed for the Moroccan stock market, based on two deep learning model: Long Short Term Memory LSTM and Gated Recurrent Unit GRU to predict respectively close price for short and mid term horizon. Decision rules for buying and selling stocks are implemented based on the forecasting given by the two models, then over four three-years periods, we simulate transactions using these decision rules with different parameters for each stock. We only hold stocks that ensure a return greater than a benchmark return over the four periods. Random search is then used to choose one of the available parameters and the performance of the portfolio built from the selected stocks will be tested over a further period. The repetition of this process with a variation of benchmark return makes it possible to select the best possible combination of stock each with the parameters optimized for the decision rules. The proposed strategy produces very promising results and outperform the performance of indices used as benchmarks in the local market.
Inhibition of HIF2 Prevents the Development of Neurodegenerative Disorder Induced by Deficiency of IRP2
Authors: Shen Jiaqi , Xu Li , Li Yuxuan , Dong Weichen , Cai Jing , Liu Yutong , Zhao Hongting , Xu Tianze , Holtz Esther Meyron , Chang Yanzhong , Qiao Tong , Li Kuanyu 
Published: June 2021

Abstract
Background: IRP2 (Iron regulatory protein 2) deficiency in mice and humans causes microcytic anemia and neurodegeneration due to functional cellular iron depletion. Our previous in vitro data have demonstrated that Irp2 depletion upregulates hypoxia-inducible factor subunits Hif1α and Hif2α expression and inhibition of Hif2α rescues Irp2 ablation-induced mitochondrial dysfunction and inhibition of Hif1α suppresses the overdose production of lactic acid derived from actively aerobic glycolysis. We wonder whether Hif1α and Hif2α are also elevated in vivo, and if they are elevated, are they related to the neurodegenerative disorder of Irp2-/- mice.Results: In this study, we confirmed the upregulated Hif2α, not Hif1α, in tissues, particularly, the central nervous system including the mainly affected cerebellum and spinal cord of Irp2-/- mice. Consistent with this observation, inhibition of Hif2α by PT-2385, not Hif1α by PX-478, prevented the neurodegenerative symptoms, which was proved by Purkinje cells arrangement from the shrunken and irregular to the full and regular array. PT-2385 treatment did not only modulate mitochondrial morphology and quality in vivo, but also suppressed the glycolysis. Consequently, the shift of energy metabolism from glycolysis to oxidative phosphorylation reversed. Conclusions: Our results indicate that Irp2 depletion-induced Hif2α is alone, in vivo, in charge of the switch between oxidative phosphorylation and glycolysis, suggesting that, for the first time to our knowledge, Hif2α is a clinically potential target in the treatment of IRP2 deficiency-induced neurodegenerative syndrome.
Apelin Over-Expression Promotes Proliferation and Angiogenesis of Gastric Cancer Cells
Authors: Tian LiJun , Liu Hong-Zhi , Zhang Qiang , Geng Dian-Zhong , Yang Jing , Geng Hai-Tao , Zhai Yu-Jie , Huo Yu-Qing , Hao YanZhang 
Published: June 2021

Abstract
Background: Apelin is a recently identified endogenous ligand associated with proliferation and angiogenesis of several cancers. However, only few studies have reported on the functions and the role of apelin in gastric cancer (GC). Therefore, in the present study, we investigated the association and the mechanisms underlying Apelin expression and proliferation of GC cells both in vitro and in vivo.Methods: We enrolled 178 postoperative care GC patients to investigate clinicopathological and immunohistochemical factors associated with Apelin expression. The relationship between Survival of patients and apelin expression was evaluated using Kaplan-Meier method and Cox regression analyses. The expression of apelin mRNA and its proteins in GC tissues and cell lines were analyzed using quantitative real-time reverse transcription-polymerase chain reaction (RT-PCR), western blot and ELISA. The role and mechanisms underlying regulation of Apelin expression in human GC cells were evaluated through several in vitro and in vivo experiments. Results: Apelin was over expressed in human GC cells, relative to adjacent normal tissues. The over expression of apelin was associated with vessel invasion (P <0.01), lymph node metastasis (P <0.01), late-staged tumor (T) (P <0.05), worse pathological type (P <0.05), nerve invasion (P <0.05). In addition, expression of apelin strongly and positively correlated with that of vascular endothelial growth factor (VEGF). Over-expression of apelin promoted proliferation and invasion of MGC-803 cell via the ERK/Cyclin D1/MMP-9 signaling pathway. Apelin over-expression also promoted angiogenesis of GC cells, accelerating growth of subcutaneous xenograft of the cancer cells in vivo.Conclusions: Over-expression of apelin promotes proliferation and metastasis of GC cells via the ERK/Cyclin D1/MMP-9 signaling pathway and is associated with adverse events of the cancer. Consequently, apelin is a potential therapeutic target for human GC.
Inside-out Vision for Treatment Identification in Dental Setup using Machine Learning
Authors: Noor Shaheena , Minhas Humera Noor , Saleem Muhammad Imran , Uddin Vali , Ismat Najma 
Published: June 2021

Abstract
Smart clinics have gained much popularity due to the technological advancements in areas like computer vision. The recognition of objects and activities and overall perceiving the environment lies at the core of such systems.
This is essential not just for the eco-independent systems, but also for Human-Machine-Interaction - specially in scenarios with small work-areas like dental treatment. In this paper, we compare a number of machine learning mod-
els (including Multinomial Logistic Regression, Lazy Instance-based Learning (IBk), Sequential Minimal Optimization (SMO), Hoe ding Tree and Random Tree) for robustly identifying dental treatments. We take the objects-focussed
as input, which covers parameters like material, symptoms of the patient teeth and tools used by the dentist. We take advantage of the fact that the issue of identifying a particular treatment can be solved by recognizing the objects
seen during an activity. We collected a dental dataset in-the-wild and ran our tests to find that integrating different parameters improves accuracy relative to using each one separately. However, we also noted that in certain cases using the symptoms stand-alone gave better results. Also, with respect to RMS error convergence, symptoms showed to have lower error compared to combined. Finally, we noticed that the combined approach led to longer build and
test times for the machine learning models. This shows that in machine learning applications in general and in medical/dental applications in particular, adding more parameters does not always lead to improved results. Rather it
depends on the ML tool used, the parameters considered and the data given as input.
Stroke and TIA Survivors’ Perceptions of The COVID-19 Vaccine: Cross Sectional Survey
Authors: Turner Grace , Heron Neil , Crow Jennifer , Kontou Eirini , Hughes Sally 
Published: June 2021

Abstract
BackgroundPeople who experience a stroke or transient ischaemic attack (TIA) have greater risks of complications from contracting COVID-19. Vaccine uptake in this vulnerable population is important to reduce the burden of COVID-19 on healthcare services and society. To prevent vaccine hesitancy and maximise compliance, we need to better understand individuals’ views on the vaccine. We aimed to explore perspectives of people with stroke/TIA on the COVID-19 vaccine and influences on its uptake.MethodWe conducted a cross-sectional, electronic open survey comprising multiple choice and free text questions. Convenience sampling was used to recruit people who have experienced a stroke and/or TIA, and were residents in the UK or Ireland.ResultsThe survey was completed by 377 stroke/TIA survivors. 87% (328/377) had either received the first vaccine or were booked to have it. The vaccine was declined by 2% (7/377) and 3% (11/377) had been offered the vaccine but not yet taken it up. 8% (30/377) had not been offered the vaccine despite being eligible.Many people expressed concerns around the safety of the vaccine (particularly risk of blood clots and stroke) and some were hesitant to have the second vaccine. Most people had no difficulty accessing the vaccine appointment. Societal and personal benefits were motivations for vaccine uptake. There was uncertainty and lack of information about risk of COVID-19 related complications specifically for people who had a stroke/TIA.ConclusionFor people with stroke and TIA, confidence in the vaccine’s safety is the overriding behavioural influence on vaccine uptake. Despite high uptake of the first vaccine, many have legitimate concerns and information needs that should be addressed. Our findings can be used to identify targets for behaviour change to improve vaccine uptake specific to stroke/TIA patients, in particular, increase trust in the vaccine’s safety (confidence) and improve understanding of the greater risks of complications from contracting COVID-19 (complacency).
The Association of Low Body Mass Index With Neonatal Morbidities in Preterm Infants
Authors: Lee Byoung Kook , Lee Jun Hyeok , Shin Jeongmin , Jung Young Hwa , Choi Chang Won 
Published: June 2021

Abstract
Little is known about the association between body proportionality at birth and neonatal outcomes in preterm infants. Body mass index (BMI) is one of the weigh-for-length ratios that represent body proportionality. The objective of this study was to examine whether BMI at birth affects neonatal outcomes in preterm infants. We assessed 4,018 preterm (<32 weeks), very low birth weight (<1,500 g) infants born between January 2013 and December 2016 and registered in the Korean Neonatal Network database which is a prospective cohort study group. Using gender-specific BMI for gestational age curves, z-scores of BMI at birth were calculated. Low-, normal-, and high-BMI were defined as BMI z-scores of less than -1, from -1 to 1, and greater than 1, respectively. Neonatal morbidities and mortality in low- and high-BMI groups were compared to those in normal-BMI group. The low-BMI group had an increased risk of bronchopulmonary dysplasia, bronchopulmonary dysplasia or death, severe bronchopulmonary dysplasia, and necrotizing enterocolitis after adjusting for baseline characteristics and the birth weight z-score. High-BMI group had comparable neonatal outcomes to those of normal-BMI group. Low BMI at birth was associated with an increased risk of bronchopulmonary dysplasia and necrotizing enterocolitis, whereas High BMI at birth was not associated with adverse neonatal outcomes.
Group-Based Trajectory Modelling (GBTM) To Assess the Effect of Medication Adherence on Health-Related Outcomes: A Protocol for A Systematic Review
Authors: Memoli Victoria , Ekanmian Giraud , Lunghi Carlotta , Bouhnik Anne-Déborah , Lauzier Sophie , Guénette Line 
Published: June 2021

Abstract
Background: The Group-based trajectory modelling (GBTM) method is increasingly used in pharmacoepidemiologic studies to describe medication adherence trajectories over time. However, assessing the effects of these medication adherence trajectories on health-related outcomes remains challenging. The purpose of this review is to describe studies assessing the effects of medication adherence trajectories estimated by the GBTM method on health-related outcomes. Methods: We will conduct a systematic review according to the recommendations of the Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) guidelines. We will search in the following databases: PubMed, Embase, PsycINFO, Web of Science, CINAHL, and Cochrane database up to April 1st, 2021. Two reviewers will independently select articles and extract data. Discrepancies at every step will be resolved through discussion, and consensus will be reached for all disagreed articles. A third reviewer will act as a referee if needed. We will use tables to synthesize the modalities used to estimate medication adherence trajectories and the effect of adherence trajectories on health-related outcomes. We will identify the types of health-related outcomes studied and how they are defined, the statistical models used, the effect measure yield, and how medication adherence trajectories have been incorporated in the model. We will also review the limitations and biases reported by the authors and their attempts to mitigate them. We will provide a narrative synthesis.Discussion: This review will provide a clear view of the strategies and methods used in medication adherence research to estimate the effects of adherence trajectories on different health-related outcomes. A thorough exploration of how GBTM is used for this specific purpose could represent the first crucial steps towards optimizing the utilization of this method in adherence studies. Systematic review registration: Prospero CRD42021213503.
Activin A Improves White Matter Injury in Neonatal Rats via Noggin/bmp4/id2 Signaling
Authors: Su Xiaojuan , Tang Jun , Huang Lingyi , Xiao Dongqiong , Qiu Xia , Ying Junjie , Li Shiping , Pradhan Rina , Liu Qian , Zhao Fengyan , Qu yi , Mu Dezhi 
Published: June 2021

Abstract
BackgroundActivin A (Act A) has been revealed to enhance the differentiation of oligodendrocyte progenitor cells (OPCs) in vitro. Here we aim to elucidate its roles and mechanisms in a rat model of white matter injury (WMI). MethodsAct A was injected into the lateral ventricle of a hypoxia-ischemia induced WMI rat model. Hematoxylin & eosin staining was used to detect pathological changes. Immunofluorescence staining was used to assess OPC proliferation, migration, apoptosis, and differentiation. Myelin sheath and axon formation were detected via immunofluorescence staining, Western blotting, and electron microscopy. Behavioral assessment of rats was performed with the Morris water maze test. ResultsAct A attenuated the pathological damages, enhanced the formation of myelin sheath and myelinated axons and improved the behavior of WMI rats by promoting OPC proliferation and differentiation. However, Act A showed no significant effects on OPC migration or apoptosis. Interestingly, we found that Act A could enhance Noggin expression, which in turn inhibited the expression of bone morphogenetic protein 4 (BMP4) and inhibitor of DNA binding 2 (Id2). Furthermore, upregulation of Id2 completely abolished the protective effects of Act A in WMI. Conclusions﻿Act A improves WMI in neonatal rats via Noggin/BMP4/Id2 signalling.
Antibiotic Resistance in Aerobic Bacterial Isolates From Infected Diabetic Foot Ulcers in North Eastern Tanzania: An Urgent Call to Establish A Hospital Antimicrobial Stewardship Committee
Authors: Shabhay Ahmed Ali , Horumpende Pius , Mujuni Martin , Munisi Edna-Joy , Mshana Stephen , Shabhay Zarina , Mganga Andrew , Chilonga Kondo , Msuya David , Chilongola Jaffu O. , Baal Jeff Van , Chugulu Samwel 
Published: June 2021

Abstract
Background.

Diabetic foot ulcers (DFU) is among major health problems which impact the socio economic burden globally. We aimed at assessing the susceptibility pattern of antimicrobials in DFU infections among patients admitted in the Surgical Department at Kilimanjaro Christian Medical Centre (KCMC).
Methods.

This descriptive cross-sectional study was conducted from September 2018 through March 2019. Pus swabs were collected on the first day of admission by deep wound swabbing after irrigation with normal saline solution. Kirby-Bauer method was done according to the Clinical and Laboratory Standard Institute (CLSI) guidelines.
Results.

Sixty diabetic ulcer patients had 62 bacterial isolates. Majority of the isolates were gram negative 49/62(79.03%). The most common isolate was Escherichia coli 15/62(24.19%) followed by Pseudomonas aeruginosa 14/62(22.58%), Proteus mirabilis 8/62(12.9%) and Staphylococcus aureus 5/62(8.06%). Klebsiella pneumoniae, Coagulase Negative Staphylococcus, Proteus Vulgaris, and Streptococcus pyogenes each contributed 4/62(6.25%) isolates. Of the 49/62(79.3%) gram negative isolates, 8/49(16.33%) were mono resistant, 30/49(61.22%) were multiresistant, and 11/49(22.45%) were susceptible. Of the multi-resistant isolates, E. coli 12/15(80.00%), and P.aeruginosa 7/14(50.00%) were predominant. A total of 39/62(62.90%) isolates in patients contributed to poorer outcomes including loss of body part. Patients with ulcers infected by P. aeruginosa 11/39 (28.21%) had the highest number of surgical removal of body parts followed by E. coli 8/39(20.51%). Gram negative bacteria were highly susceptible to amikacin 91.18%, meropenem 93.33% and imipenem 95.24%. Isolates susceptibility to ceftriaxone was 32%.
Conclusions.

Amikacin, meropenem and imipenem can be safely used as broad-spectrum antimicrobials in DFU. The Standard of care remains culture and sensitivity of isolated microorganisms in combating diabetic foot ulcers infections.
Susceptibility to Imipenem/Relebactam of Pseudomonas Aeruginosa and Acinetobacter Baumannii Isolates From Chinese Intra-Abdominal, Respiratory and Urinary Tract Infections: SMART 2015 To 2018
Authors: Zhang Hui , Jia Peiyao , Zhu Ying , Zhang Ge , Zhang Jingjia , Kang Wei , Duan Simeng , Zhang Weijuan , Yang Qiwen , Xu Yingchun 
Published: June 2021

Abstract
Background

In recent years, less options are available for treating carbapenem-resistant Acinetobacter baumannii and carbapenem-resistant Pseudomonas aeruginosa. The present study investigatesthe susceptibility rates to imipenem/relebactamfor the treatment of intra-abdominal infections (IAIs), respiratory tract infections (RTIs) and urinary tract infections (UTIs) caused by A. baumannii and P. aeruginosain China.
Methods

1,886 P. aeruginosa and 1,889 A.baumanniiisolates were collected in 21 centers (7 regions) as part of the global SMART surveillance program between 2015 and 2018. Antimicrobial susceptibility testing was performed according tothe Clinical and Laboratory Standards Institute (CLSI) recommendations using the broth microdilution methodology in the Peking Union Medical College Hospital.
Results

Rates of imipenem-non-susceptibilities of P. aeruginosa and A. baumanniiisolates were 44.3% and 79.0%, whereas the multidrug-resistance (MDR) rateswere 44.3% and 81.9%, respectively.For P. aeruginosa, susceptibility rates to imipenem/relebactamwere 84.2% at aCLSI breakpoint of ≤ 2 mg/L compared to 55.7% for imipenem. The MIC90 of imipenem/relebactam(8 mg/L) was one fourth of that of imipenem (32 mg/L).The susceptibilities of imipenem-non-susceptible and MDRP.aeruginosastrains were similarly restored by imipenem/relebactam in non-ICU and ICU wards.The susceptiblity rate of A. baumannii isolates to imipenem was 21.0% and to imipenem/relebactam 22.2%.
Conclusions

Imipenem/relebactam provides a therapy option for infections caused by MDRor imipenem-non-susceptible P. aeruginosa infections in China.
Gut microbiome-wide association study of depression
Authors: Radjabzadeh Djawad , Bosch Jos , Uitterlinden André , Zwinderman Koos , Ikram M. Arfan , Meurs Joyce van , Luik Annemarie , Nieuwdorp Max , Lok Anja , Duijn Cornelia van , Kraaij Robert , Amin Najaf 
Published: June 2021

Abstract
Depression is one of the most poorly understood diseases due to its elusive pathogenesis. There is an urgency to identify molecular and biological mechanisms underlying depression and the gut microbiome is a novel area of interest. In this study we investigated the relation of fecal microbiome diversity and composition with depression in 1,054 from the Rotterdam Study cohort and validated these findings in the Amsterdam HELIUS cohort in 1,539 subjects. Using supervised and unsupervised machine learning approaches, we identified and replicated the association of several microbial genera. We confirm the association of genus Eggerthella, Subdoligranulum, Coprococcus and family Ruminococcaceae and identify novel bacteria including Sellimonas, Lachnoclostridium, Hungatella, Ruminococcaceae (UCG002,UCG003 and UCG005), LachnospiraceaeUCG001, Eubacterium ventriosum and Ruminococcusgauvreauiigroup associated with depression. These bacteria are known to be involved in the synthesis of glutamate, butyrate, serotonin and gamma amino butyric acid (GABA), which are key neurotransmitters for depression. Our study suggests the gut microbiome composition may play a key role in depression.
Exosome Releasing HSPD1 Assists HNF1A in Regulating the Invasion Ability and Radiosensitivity of Esophageal Squamous Cell Carcinoma Cells via Activating EMT
Authors: Zou Naiyi , Dong Jing , Zhang Xueyuan , Li Shuguang , Li Youmei , Zhao Yan , Xu Jinrui , Zhu Shuchai 
Published: June 2021

Abstract
Background: Concurrent chemoradiotherapy is the standard scheme for locally advanced non-surgical esophageal squamous cell carcinoma (ESCC). But there are frequently different results due to tumor heterogeneity. HNF1A and HSPD1 have been shown to be associated with the invasion, proliferation, apoptosis, and chemical resistance in multiple cancers. The aim of this study was to investigate the effects of HNF1A and HSPD1 on invasion and radiosensitivity of ESCC.Methods: HNF1A was overexpressed by lentivirus transfection and HSPD1 was silenced by knockdown plasmid in TE1 and KYSE150 cells. The mRNA expression of HSPD1 and HNF1A were detected by RT-qPCR. The correlated proteins expression was verified by western blot, and transwell tested the invasion ability of ESCC cells. Survival curve was plotted by colony formation assay. Co-immunoprecipitation and immunofluorescence assays were used to detect interaction and subcellular location of HNF1A and HSPD1. At the same time, we explored the change of HSPD1 protein in exosomes by western blotting.Results: Immunoprecipitation and mass spectrometry identified the combination of HNF1A and HSPD1/hnRNPA1/A3/TCP1 in TE1 cells. Co-immunoprecipitation and immunofluorescence experiments were verified the bind of HNF1A and HSPD1 again, but HNF1A did not regulate HSPD1 expression. Subsequently, HSPD1 knockout reversed HNF1A to promote invasion ability of cells by inhibiting EMT. Likewise, deletion of HSPD1 relieved radio-resistance from overexpression of HNF1A in TE1 and KYSE150 cells. Notably, induced cells to release abundant of HSPD1 through exosome, and ectopic expression of HNF1A prevented radiation-induced exosomal releasing of HSPD1.Conclusions: We initially demonstrated that HNF1A was assisted by HSPD1 to drive EMT process and promote invasion of ESCC cells, and explained that HNF1A prevented HSPD1 from releasing to extracellular with exosomes after irradiation, thereby causing radio-resistance. These findings provided theoretical basis of gene target treatment for radiotherapy of ESCC.