bluuebunny/crossref_metadata_2025_split huggingface dataset:
Functional and microstructural brain abnormalities, fatigue, and cognitive dysfunction after mild COVID-19
Authors: Scardua-Silva Lucas , Joao Rafael Batista , Nogueira Mateus Henrique , Aventurato Italo Karmann , de Campos Brunno Machado , de Brito Mariana Rabelo , Alvim Marina Koutsodontis Machado , Ludwig Guilherme Vieira Nunes , Rocha Cristiane , Souza Thierry Kaue Alves Silva , Costa Beatriz Amorim da , Mendes Maria Julia , Waku Takeshi , Boldrini Vinicius Oliveira , Brunetti Natália Silva , Baptista Sophia Nora , Schmitt Gabriel Silva , de Sousa Jhulia Gabriela Duarte , Cardoso Tânia Aparecida Marchiori Oliveira , Vieira André Schwambach , Santos Leonilda Maria Barbosa , Farias Alessandro , Cendes Fernando , Yasuda Clarissa Lin 
Published: December 2022

Abstract
Background: Little is known about the underpinning mechanisms of neurological dysfunction in post-COVID syndrome.
Methods: We conducted a cross-sectional study of 87 consecutive subjects after a mild infection, with a median of 54 days after diagnosis of COVID-19. We performed structured interviews, neurological examinations, 3T-MRI scans, and neuropsychological assessments. The MRI study included white matter investigation with diffusion tensor images (DTI) and functional connectivity with resting-state functional MRI (RS-fMRI).
Results: Subjects self-reported headaches (40%) and memory difficulties (33%). The quantitative analyses confirmed symptoms of fatigue (68% of participants), excessive somnolence (35%), symptoms of anxiety (29%), impaired cognitive flexibility (40%), and language dysfunction (33%). Besides, we observed a correlation between DTI fractional anisotropy (FA) and abnormal attention and cognitive flexibility in the Trail Making Test part B. Elevated levels
of fatigue and somnolence associated with higher connectivity of the posterior cingulate cortex (PCC) in the RS-fMRI study of the default mode network. While higher connectivity of the PCC with bilateral angular gyri was associated with higher fatigue levels, the elevated levels of somnolence correlated with higher connectivity between the PCC and both the left thalamus and putamen.
Conclusions: COVID-19 is associated with long-term neuropsychiatric symptoms and cerebral functional and microstructural alterations.
The importance of caregiving in patients with advanced basal cell carcinoma in treatment with hedgehog-pathway inhibitors: an observational prospective study
Authors: trane luciana , Salvati Lorenzo , SILVESTRI flavia , venturi federico , zuccaro biancamaria , de giorgi vincenzo 
Published: December 2022

Abstract
Background
Oral target therapy with hedgehog-pathway inhibitors has revolutionized the standard of care for patients with advanced basal cell carcinoma. These patients are frail and elderly patients with various comorbidities and on pharmacological polytherapy. This scenario requires the clinician to manage the adverse events that can have a significant impact on therapeutic adherence.
Objectives
We evaluated the impact of caregivers in the treatment of patients with advanced BCC under treatment in terms of continuation of therapy over time.
Methods
All patients included in this observational prospective study have histologically confirmed metastatic or locally advanced basal cell carcinoma and were treated with hedgehog-pathway inhibitors from January 2016 to December 2021 at the Department of Dermatology at the University of Florence, Italy. The collected patient data included age, sex, BCC site and extension, number of cycles, dose, duration and tolerability of the therapy, marital status (single, divorced, married/live-in, widow/widower), and information such as living with someone, and the presence of any caregivers.
Results
Of the 34 patients included, 33 had a LaBCC and 1 metastatic BCC. There were 11 females (32.4%) and 23 males (67.6%). Among Basal Cell Carcinoma patients treated with hedgehog-pathway inhibitors, patients who were married or lived with a care-giver could better tolerate the therapy relative to single patients who live alone. Indeed, married/live-in patients and/or those with an adequate caregiver experienced greater therapeutic adherence and tolerated adverse events better.
Conclusions
Given the greater therapeutic adherence of married/live-in patients whose caregiver is the partner, it is essential to consider patient’s marital status. It is advisable to involve the caregiver upon enrollment. There should be a training discussion on the various possible adverse events and the best way to mitigate them. Success in therapy is linked not only to an informed patient but also to a trained caregiver.
Coexistence of cryoglobulinemia and ANCA-associated vasculitis in a chronic brucellosis patient -A case report and literature review
Authors: Yang Xu , Jiao Congcong , Liu Xiaomei , Zhang Yongzhe , Zhou Hua , Wang Yanqiu 
Published: December 2022

Abstract
Background
The renal involvement of brucellosis is not common. Here we reported a rare case of chronic brucellosis accompanied by nephritic syndrome, acute kidney injury, the coexistence of cryoglobulinemia and antineutrophil cytoplasmic autoantibodies (ANCA) associated vasculitis (AAV) superimposed on iliac aortic stent implantation. The diagnosis and treatment of the case are instructive.
Case presentation
A 49-year-old man with hypertension and iliac aortic stent implantation was admitted for unexplained renal failure with signs of nephritic syndrome, congestive heart failure, moderate anemia and livedoid change in the left sole with pain. Past history included chronic brucellosis and he just underwent the recurrence and completed the 6 weeks of antibiotics treatment. He demonstrated positive cytoplasmic/proteinase 3 ANCA, mixed type cryoglobulinemia and decreased C3. The kidney biopsy revealed endocapillary proliferative glomerulonephritis with a small amount of crescent formation. Immunofluorescence staining revealed only C3 positive staining. In accordance with clinical and laboratory findings, post-infective acute glomerulonephritis superimposed with AAV was diagnosed. The patient was treated with corticosteroid and antibiotics and sustained alleviation of renal function and brucellosis was achieved during the course of a 3-month follow-up.
Conclusions
Here we describe the diagnostic and treatment challenge in a patient with chronic brucellosis related glomerulonephritis accompanied by the coexistence of AAV and cryoglobulinemia. Renal biopsy confirmed the diagnosis of postinfectious acute glomerulonephritis overlapping with ANCA related crescentic glomerulonephritis, which was not ever reported in the literature. The patient showed good respond to steroid treatment which indicated the immunity-induced kidney injury. Meanwhile it is essential to recognize and actively treat the coexisting brucellosis even when there are no clinical signs of the active stage of infection. This is the critical point for a salutary patient outcome for brucellosis associated renal complications.
Development of a quick-stop device for micro-cutting
Authors: Piquard Romain , D'Acunto Alain , Fontaine Michaël , Thibaud Sébastien , Gilbin Alexandre , Coz Gaël Le 
Published: December 2022

Abstract
Micro-cutting is characterised by undeformed chip thicknesses in the micron range. This range leaves little choice of in situ observation techniques. One solution is therefore to observe these zones a posteriori after the cutting has been abruptly interrupted. This technique has proven to be very useful for conventional machining. This paper deals with the development of a quick-stop device dedicated to micro-cutting. The aim of this device is to observe cutting mechanisms and chip formation at this scale.
Establishment and validation of a prediction model for older people with sarcopenia
Authors: Yin Guangjiao , Li Hang , Li Rui , Wang Ziwei , Lv Fang , Qin Juanjuan , Ye Xunjun 
Published: December 2022

Abstract
The burden of sarcopenia is increasing. However, most cases of sarcopenia are undiagnosed due to the lack of simple screening tools. Here, we aimed to develop and validate an individualized and simple nomogram for predicting sarcopenia in older Chinese people. Sarcopenia was diagnosed according to the Asian Working Group for Sarcopenia (AWGS) 2019 consensus. The primary data were randomly divided into a train and validation set. Univariate logistic regression analysis was performed to select the risk factors of sarcopenia, which were subjected to the LASSO regression model for feature selection. The nomogram was built using multivariate logistic regression analysis by incorporating the features selected in the LASSO regression model. The discrimination and calibration of the predictive model were verified by the concordance index (C-index), receiver operating characteristic curve (ROC), and calibration curve. In this study, there were 55 cases of sarcopenia. Risk predictors included age, albumin (ALB), blood urea nitrogen (BUN), grip strength, and calf circumference. The model had good discrimination and calibration. C-index was 0.92 (95% confidence interval:0.84–1.00) and the area under the ROC curve (AUC) was 0.92 (95% confidence interval:0.83–1.00) in validation set. The Hosmer-Lemeshow test (HL) had a p-value of 0.94. Our predictive model will be a clinically useful tool for predicting the risk of sarcopenia. It facilitates earlier detection and therapeutic intervention for physicians and patients.
Flatten the curve. On a new Covid-19 (hit) severity.
Authors: Crombez John , De Staelen Rob 
Published: December 2022

Abstract

During the health crisis of the Covid-19 pandemic the adagium was to ``flatten the curve". We investigate how well countries succeeded in this aim by constructing an appropriate severity measure. It is able to distinguish between countries that e.g. experienced identical overall mortality rates or attained equal case load peaks. More classical measures (like summation or maximum) neglect this and are therefore inappropriate to assess the resilience of a health care system nor pandemic policy ex post performance.
For a set of 32 countries, based on the reported number of Covid-19 cases and deaths, we calculate the relative severity of the pandemic hitting each individual country. The flattening didn't go equally well in all countries. The difference in severity is large, with Norway being consistently the least severely hit by the pandemic (using deaths as indicator) during the whole observation period, while Hungary comes out as eventually being hit the hardest in our sample.
Having constructed a sound (hit) severity measure that enables to differentiate between countries' performances, further research should relate these observed differences to the pre pandemic health care status and the sanitary measures or restrictions imposed during the pandemic; in order to reveal what measures help the most in what type of health care system and society.
Circulating-infiltrating preparation of hydrophilic nylon 6 membrane to hydrophobic MWCNT@nylon composite membrane
Authors: Tai Nguyen Tan , Anh Tran Minh , Vuong Vinh-Dat , Thi Pham Tan , Le Thang Van , Phong Mai Thanh 
Published: December 2022

Abstract
The ion adsorption capacity has been added to the nylon 6 microfiltration (MF) membrane by grafting the fibers in its structure with carboxylated multi-walled carbon nanotubes (MWCNT-COOH). Through a direct three-step functionalization reaction with hexamethylenediamine (HMDA) and MWCNT-COOH, the multi-walled carbon nanotubes grafted nylon (MWCNT@nylon) fibers are made up of original nylon 6 and intermediate amino-enriched (nylon-NH2) membranes. Chemical structure analysis shows that HMDA and MWCNTs were grafted to the nylon 6 fiber side wall, without causing damage to either the nylon 6 backbone or the pore size of the original membrane. The SEM images confirm this and further confirm that the plexus of MWCNT-COOH has a pore size of approximately 50 nm, covering the nylon 6 fibers. The sidewall of nylon-NH2 and MWCNT@nylon fibers contains hydrophilic groups (amino and carboxylic), allowing the as-prepared membranes to reduce the wetting angle from about 70.3° to about 108.1°. This special structure opens new possibilities for polyamide membranes as well as mass production by the proposed simple method.
A Subspace Constraint based Approach for Fast Hierarchical Graph Embedding
Authors: Yu Minghe , Chen Xu , Gu Xinhao , Liu Hengyu , Du Lun 
Published: December 2022

Abstract
Hierarchy network, as a type of complex graphs, is widely used in many application scenarios such as social network analysis in web, human resource analysis in e-government, and product recommendation in e-commerce. Hierarchy preserving network embedding is a representation learning method that project nodes into feature space by preserving the hierarchy property of networks. Recently, researches on network embedding are devoted to mining hierarchical structures and profit a lot form it. Among these works, SpaceNE stands out of preserving hierarchy with the help of subspace constraint on the hierarchical subspace system. However, like all other existing works, SpaceNE is based on transductive learning method and is hard to generalize to new nodes. Besides, they have high time complexity and hard to be scalable to large-scale networks. This paper proposes an inductive method, FastHGE to learn node representation more efficiently and generalize to new nodes more easily. As SpaceNE, a hierarchy network is embedded into a hierarchical subspace tree. For upper communities, we exploit transductive learning by preserving inner-subspace proximity of subspace from the same ancestor. For extending to new nodes, we adopt inductive learning to learn representations of leaf nodes. The overall representation of a node is retrieved by concatenating the embedding vectors of all its ancestor communities and the leaf node. By learning the basis vectors of subspace, the computing cost is alleviated from updating many parameters of projection matrices as in SpaceNE. The performance evaluation experiments show that FastHGE outperforms with much fast speed and the same accuracy. For example, in the node classification, FastHGE is nearly 30 times faster than SpaceNE. The source code of FastHGE is available online.
Warfarin pharmacogenes do not modify the risk association between warfarin use and cancer mortality among men with prostate cancer
Authors: Murtola Teemu J , Skantsi Kaisa M , Talala Kirsi , Taari Kimmo , Tammela Teuvo LJ , Schleutker Johanna , Auvinen Anssi , Sipeky Csilla 
Published: December 2022

Abstract
Although platelets and thrombosis play a role in cancer progression, anticoagulant drug warfarin has not been independently associated with prostate cancer (PCa) survival. SNPs altering warfarin metabolism may in theory affect the association. We investigated the risk associations by warfarin use stratified by the SNP-profile of CYP2C9 and VKORC1 enzymes known to affect warfarin metabolism. A total of 3,241 men participating in the FinRSPC and 1,436 men with PCa and treated at Tampere University Hospital were genotyped for CYP2C9 SNP rs1057910 and VKORC1 SNP rs9923231 known to affect warfarin metabolism. Cox regression method was used to calculate hazard ratios (HRs) and 95% confidence intervals for the risk of death overall, cancer death and PCa death after PCa diagnosis. Data on warfaring purchases was obtained from national registry. The SNPs did not modify the risk association between warfarin use and cancer death (HR 1.02, 95% CI 0.77-1.35), PCa progression, clinical features of PCa or the risk of PCa death. Overall risk of death was non-statistically elevated among warfarin users compared to non-users independent of SNP carrier status. SNPs in CYP2C9 and VKORC1 do not modify the association between warfarin use and PCa risk or outcomes among men with PCa. However, use of warfarin is associated with higher overall risk of death independent of metabolic genotype. Our results confirm the previously demonstrated association between anticoagulant use and increased cancer mortality, and suggests the association is not directly caused by warfarin as it is not modified by warfarin metabolism.
Aurora-a inhibitor synergistically enhances the inhibitory effect of anlotinib on hepatocellular carcinoma
Authors: Wang Rui , Lin Xinrong , Pan Fan , Abudoureyimu Mubalake , Wang Ting , Hao Liping 
Published: December 2022

Abstract
Hepatocellular carcinoma (HCC) is one of the most malignant tumors worldwide. Except for all guidelines that have been approached in clinic, anlotinib and Aurora-A inhibitors also have been proved to be effective in HCC. However, Anlotinib which is a member of anti-angiogenesis therapy, has achieved great benefits in clinical trials, but its single-agent treatment limitations are also very obvious like drug resistance. Aurora-A inhibitors are in clinical trials but has limited benefit. Combination therapy is clearly superior to monotherapy under the situation. So we hope to explore whether the combination of the two drugs can enhance their strengths and avoid their weaknesses to obtain more clinical benefits. We confirmed that alisertib and anlotinib had an inhibitory effect on HCC cells in a time-dose relationship at first. In vitro, cytological experiments showed that the combination of the two drugs had a synergistic effect on inhibiting cell proliferation, invasion, and metastasis, and promoting cell apoptosis. We also uncovered the underlying molecular mechanism by which the combination of Aurora-A inhibitor alisertib and anlotinib inhibited HCC by inhibiting the activation of the NF-ĸB signaling pathway. In a word, we have demonstrated that anlotinib combined with Aurora-A inhibitor is effective, which also broadens the horizon for anlotinib before officially enter the clinical treatment of HCC in the future.
Risk assessment for highly pathogenic isolates of potato spindle tuber viroid in Dahlia
Authors: Tsushima Daiki , Fuji Shin-ichi 
Published: December 2022

Abstract
Dahlias naturally infected with potato spindle tuber viroid (PSTVd) do not exhibit symptoms. Therefore, if highly pathogenic isolates infect dahlias, there is significant risk of PSTVd infecting other plants via dahlia. In this study, almost all highly pathogenic isolates can infect dahlia plants, but symptoms vary depending on the cultivar. When mixed inocula composed of dahlia isolates and highly pathogenic isolates were tested, the dahlia isolates dominantly infected dahlia plants; however, the highly pathogenic isolates also co-infected plants. In addition, our results indicate that seed or pollen transmission from infected dahlia plants does not occur.
Finite Control Set Model Predictive Control of Six-Phase Induction Motor
Authors: Gulbudak Ozan , Gokdag Mustafa , Akbaba Mehmet 
Published: December 2022

Abstract
Model predictive control (MPC) is a closed-loop technique to generate inputs to activate the process so that the outputs of the interest track a certain set point or reference signal. MPC performs this in a closed loop by updating the decision on the value of the input variables based on measurements from the system. MPC uses an explicit process model to predict what the system will do if a specific sequence of inputs is applied in the future. The MPC methods are popular in electrification and ac drive systems due to fast dynamic response. It offers great flexibility in handling multiple control goals and nonlinearities. This paper proposes a novel Finite Control Set MPC method that aims to keep control transitions to a minimum. In the proposed method, it is desired to achieve control targets by using minimum energy. The designed MPC controller meets all requirements for six-phase motor control. The proposed mathematical concept has been proven by experimental results. The experimental results have shown that the proposed method regulates system dynamics in a stable and effective way.
Deriving Optimal Operation Rule for Reservoir System Using Enhanced Optimization Algorithms
Authors: Almubaidin Mohammad Abdullah , Ahmed Ali Najah , Sidek Lariyah Mohd , AL-Assifeh Khlaif Abdul Hakim , El-Shafie Ahmed 
Published: December 2022

Abstract
Recently, there has been increased interest in using optimization techniques to find the optimal operation for reservoirs by applying them to various aspects of the reservoir operating system, such as finding the optimal rule curves for reservoirs. The use of different algorithms (artificial bee colony (ABC), particle swarm optimization (PSO), genetic algorithm (GA), firefly algorithm (FA), invasive weed optimization (IWO), teaching learning-based optimization (TLBO), and harmony search (HS)) was investigated in this study by integrated every algorithm to a reservoir simulation model to search for the optimal rule curves for the Mujib reservoir in Jordan from the year 2004 to 2019. To evaluate the long-term impact of water shortages and excess releases on the Mujib reservoir's operation and the effect of water demand management when reducing it by 10%, 20%, and 30% in the reservoir. The findings showed that the algorithms effectively reduced cases of water shortage and excess release compared to the current operation. The best solutions using the TLBO algorithm reduced the frequency and average of the water shortage to 55.09 % and 56.26 %, respectively, and reduced the frequency and the average of the excess release to 63.16 % and 73.31 %, respectively. The findings highlight the impact of water demand management of the reservoir on the decrease in frequency and average of the water shortage, explaining the inability of the reservoir to supply water in some months and the possibility of exposure to a shortage of water for long periods.
Pressure-induced effects on physical and superconducting properties of ThIrGe: A DFT investigation
Authors: Islam M. N. , Podder J. , Anik M. , Ali M. S. 
Published: December 2022

Abstract
In present years, TiNiSi-type intermetallic materials have been searched extensively because of excellent electronic, mechanical, thermodynamic and superconducting natures. In this consideration, we investigate the spin dependence electronic, optical, mechanical, thermodynamic and superconducting properties of the newly synthesized TiNiSi-type ThIrGe. In this paper, hydrostatic pressure was applied from 0 to 15 GPa as changes in physical and superconducting natures were seen. As far as our knowledge, this is the first time we report the influence of pressure on physical and superconducting parameters with/without pressure ThIrGe compounds. Structural analysis shows that the unit cell constants, a, b, c and volume, V went down with developing hydrostatic pressure. The analyzed spin-dependent band structure and density of states (DOS) imply metallic properties for both stressed and unstressed ThIrGe compounds. The spin-dependent TDOS and PDOS indicate that the ThIrGe compound has strong hybridization between Th, Ir, and Ge atoms. As Vickers hardness value lies in soft material range, we predicated ThIrGe compound has a low covalent bond. The ThIrGe compounds have ductile nature ensured by Pugh’s ratio and Poisson’s ratio values. In addition, Debye temperature and melting temperature increase with driving hydrostatic pressure. The reflectance and absorption spectra reach higher energies with increasing applied pressure. Since θD tends to increase with driving pressure, TC may increase with driving pressure.