bluuebunny/crossref_metadata_2025_split huggingface dataset:
Succinate prodrugs in combination with atropine and pralidoxime protect cerebral mitochondrial function in a rodent model of acute organophosphate poisoning
Authors: Piel Sarah , Janowska Joanna I. , Ward J. Laurenson , McManus Meagan J. , Jose Joshua S. , Starr Jonathan , Sheldon Malkah , Clayman Carly L. , Elmér Eskil , Hansson Magnus J. , Jang David H. , Karlsson Michael , Ehinger Johannes K. , Kilbaugh Todd J. 
Published: November 2022

AbstractPesticides account for hundreds of millions of cases of acute poisoning worldwide each year, with organophosphates (OPs) being responsible for the majority of all pesticide-related deaths. OPs inhibit the enzyme acetylcholinesterase (AChE), which leads to impairment of the central- and peripheral nervous system. Current standard of care (SOC) alleviates acute neurologic-, cardiovascular- and respiratory symptoms and reduces short term mortality. However, survivors often demonstrate significant neurologic sequelae. This highlights the critical need for further development of adjunctive therapies with novel targets. While the inhibition of AChE is thought to be the main mechanism of injury, mitochondrial dysfunction and resulting metabolic crisis may contribute to the overall toxicity of these agents. We hypothesized that the mitochondrially targeted succinate prodrug NV354 would support mitochondrial function and reduce brain injury during acute intoxication with the OP diisopropylfluorophosphate (DFP). To this end, we developed a rat model of acute DFP intoxication and evaluated the efficacy of NV354 as adjunctive therapy to SOC treatment with atropine and pralidoxime. We demonstrate that NV354, in combination with atropine and pralidoxime therapy, significantly improved cerebral mitochondrial complex IV-linked respiration and reduced signs of brain injury in a rodent model of acute DFP exposure.
Contrast phase recognition in liver computer tomography using deep learning
Authors: Rocha Bruno Aragão , Ferreira Lorena Carneiro , Vianna Luis Gustavo Rocha , Ferreira Luma Gallacio Gomes , Ciconelle Ana Claudia Martins , Da Silva Noronha Alex , Cortez Filho João Martins , Nogueira Lucas Salume Lima , Leite Jean Michel Rocha Sampaio , da Silva Filho Maurício Ricardo Moreira , da Costa Leite Claudia , de Maria Felix Marcelo , Gutierrez Marco Antônio , Nomura Cesar Higa , Cerri Giovanni Guido , Carrilho Flair José , Ono Suzane Kioko 
Published: November 2022

AbstractHepatocellular carcinoma (HCC) has become the 4th leading cause of cancer-related deaths, with high social, economical and health implications. Imaging techniques such as multiphase computed tomography (CT) have been successfully used for diagnosis of liver tumors such as HCC in a feasible and accurate way and its interpretation relies mainly on comparing the appearance of the lesions in the different contrast phases of the exam. Recently, some researchers have been dedicated to the development of tools based on machine learning (ML) algorithms, especially by deep learning techniques, to improve the diagnosis of liver lesions in imaging exams. However, the lack of standardization in the naming of the CT contrast phases in the DICOM metadata is a problem for real-life deployment of machine learning tools. Therefore, it is important to correctly identify the exam phase based only on the image and not on the exam metadata, which is unreliable. Motivated by this problem, we successfully created an annotation platform and implemented a convolutional neural network (CNN) to automatically identify the CT scan phases in the HCFMUSP database in the city of São Paulo, Brazil. We improved this algorithm with hyperparameter tuning and evaluated it with cross validation methods. Comparing its predictions with the radiologists annotation, it achieved an accuracy of 94.6%, 98% and 100% in the testing dataset for the slice, volume and exam evaluation, respectively.
Increased abundance of Ruminococcus gnavus in gut microbiota is associated with moyamoya disease and non-moyamoya intracranial large artery disease
Authors: Mineharu Yohei , Nakamura Yasuhisa , Sato Noriaki , Kamata Takahiko , Oichi Yuki , Fujitani Tomoko , Funaki Takeshi , Okuno Yasushi , Miyamoto Susumu , Koizumi Akio , Harada Kouji H. 
Published: November 2022

AbstractMoyamoya disease (MMD) is a rare cerebrovascular disease endemic in East Asia. The p.R4810K mutation in RNF213 gene confers a risk of MMD, but other factors remain largely unknown. We tested the association of gut microbiota with MMD. Fecal samples were collected from 27 patients with MMD, 7 patients with non-moyamoya intracranial large artery disease (ICAD) and 15 control individuals with other disorders, and 16S rRNA were sequenced. Although there was no difference in alpha diversity or beta diversity between patients with MMD and controls, the cladogram showed Streptococcaceae was enriched in patient samples. The relative abundance analysis demonstrated that 23 species were differentially abundant between patients with MMD and controls. Among them, increased abundance of Ruminococcus gnavus > 0.003 and decreased abundance of Roseburia inulinivorans < 0.002 were associated with higher risks of MMD (odds ratio 9.6, P = 0.0024; odds ratio 11.1, P = 0.0051). Also, Ruminococcus gnavus was more abundant and Roseburia inulinivorans was less abundant in patients with ICAD than controls (P = 0.046, P = 0.012). The relative abundance of Ruminococcus gnavus or Roseburia inulinivorans was not different between the p.R4810K mutant and wildtype. Our data demonstrated that gut microbiota was associated with both MMD and ICAD.
Biomarkers for rhythmic and discrete dynamic primitives in locomotion
Authors: Moura Coelho Rui , Hirai Hiroaki , Martins Jorge , Krebs Hermano Igo 
Published: November 2022

AbstractRehabilitation can promote brain plasticity and improve motor control after central nervous system injuries. Our working model is that motor control is encoded using dynamic primitives: submovements, oscillations, and mechanical impedances. We hypothesize that therapies focusing on these primitives can achieve greater motor recovery. At the observational level, these primitives lead to discrete and rhythmic movements. Here, we propose two novel biomarkers to evaluate rhythmic and discrete movements in gait based on the feet forward position: the smoothness of their relative position, using the mean-squared jerk ratio (MSJR), to assess rhythmicity; and the angle between principal components of consecutive trajectories (dPCA), to detect discrete movements amidst rhythmic motion. We applied these methods to kinematic data collected with healthy individuals during experiments employing the MIT-Skywalker: level-ground walking at five speeds, with and without imposed ankle stiffness; walking at constant speed on ascending, descending, and laterally tilted slopes; and performing sidesteps. We found a decrease in MSJR as speed increases, related to increased rhythmicity, even with imposed stiffness. Rhythmicity seems unaffected by the terrain perturbations imposed. Finally, dPCA successfully detects sidesteps, discrete events amidst rhythmic movement. These biomarkers appear to accurately assess rhythmic and discrete movements during walking and can potentially improve clinical evaluation and rehabilitation of neurological patients.
Validation of a novel method of ultraviolet-induced cutaneous inflammation and its associations with anhedonia
Authors: Sullivan-Toole Holly , Feng Shengchuang , Carlton Corinne N. , Ghane Merage , Olino Thomas M. , Allen Irving C. , Richey John A. 
Published: November 2022

AbstractAffective immunology of the skin is a growing area; however, established protocols for measuring individual differences in cutaneous inflammation are lacking. To address this, we present a preliminary validation of Precision Implementation of Minimal Erythema Dose (PI-MED) testing as a method for measuring cutaneous inflammation. PI-MED is a recently adapted protocol, optimized for reproducibility and individual differences research, that uses ultraviolet (UV) light to evoke cutaneous erythema, or inflammatory skin reddening. PI-MED’s novel UV dosage schedule produces standardized erythema responses across different skin pigmentation types and shows strong internal consistency within person and good test–retest reliability across 8–10 weeks. In line with predictions, increased PI-MED erythema was associated with heightened anhedonia, across several measures, beyond influences of non-affective covariates. While future work should further refine the dosage schedule for the lightest and darkest skin types, overall, evidence supports PI-MED as a protocol for inducing and measuring individual differences in cutaneous inflammation. Further, PI-MED-induced erythema can expand psychoneuroimmunology research by offering a complementary assessment for general inflammatory tone. This work adds to a growing body of evidence demonstrating a distinct relationship between inflammation and anhedonia.
Precisely predicting the 1H and 13C NMR chemical shifts in new types of nerve agents and building spectra database
Authors: Jeong Keunhong , Ryu Tae In , Hwang Seung-Ryul , Cho Yoonjae , Lim Kyoung Chan , Yoon Ung Hwi , Lee Jin-Young , Yoon Young Wook , Jeong Hey Jin 
Published: November 2022

AbstractFollowing the recent terrorist attacks using Novichok agents and the subsequent decomposition operations, understanding the chemical structures of nerve agents has become important. To mitigate the ever-evolving threat of new variants, the Organization for the Prohibition of Chemical Weapons has updated the list of Schedule 1 substances defined by the Chemical Weapons Convention. However, owing to the several possible structures for each listed substance, obtaining an exhaustive dataset is almost impossible. Therefore, we propose a nuclear magnetic resonance-based prediction method for 1H and 13C NMR chemical shifts of Novichok agents based on conformational and density functional study calculations. Four organophosphorus compounds and five G- and V-type nerve agents were used to evaluate the accuracy of the proposed procedure. Moreover, 1H and 13C NMR prediction results for an additional 83 Novichok candidates were compiled as a database to aid future research and identification. Further, this is the first study to successfully predict the NMR chemical shifts of Novichok agents, with an exceptional agreement between predicted and experimental data. The conclusions enable the prediction of all possible structures of Novichok agents and can serve as a firm foundation for preparation against future terrorist attacks using new variants of nerve agents.
Prevalence of classes 1 and 2 integrons in multidrug-resistant Acinetobacter baumanni isolates recovered from some aquatic environment in South Africa
Authors: Adeniji Oluwaseun Ola , Elsheikh Elsiddig A. E. , Okoh Anthony Ifeanyin 
Published: November 2022

AbstractThe emergence of antibiotic-resistance genes (ARGs) by means of integrons in multidrug-resistant Acinetobacter baumannii (MDR A. baumannii) has become a significant challenge in the management of infections from this pathogen. In this paper, we report on the variable region of class 1 and 2 integrons observed in MDR A. baumanni isolates recovered from rivers in the Eastern Cape Province, South Africa. Class 1 and 2 integrons with their variable regions were evaluated with polymerase chain reaction techniques followed by sequencing. Antibiotic sensitivity testing, checkerboard assay, time-kill independent assay, and Enterobacterial Repetitive Intergenic Consensus Polymerase Chain Reaction (ERIC-PCR) were carried out using standard microbiological techniques. A total of fifty-six (56) isolates were examined, among which 45 (79%) tested positive for class 1 integron, and 7 (12.3%) had class 2 integron. None was found to be class 3 integron positive among the isolates. The variable region contained aadA1, aadA5, and aadA2 genes, which confer resistance against streptomycin and spectinomycin, aac(6′)-Ib against amikacin/ tobramycin and dfrA17 genes against trimethoprim. The minimum inhibitory concentrations of the antimicrobials for one of the tested organisms were resistant against meropenem, colistin sodium methanesulfonate, tetracycline, ceftazidime, and ciprofloxacin (16, > 16, > 8, > 256, and 128 ug/mL respectively). The impact of colistin combined with quinolones (ciprofloxacin), with the FICIs (0.31) indicated synergistic effects against MDR A baumanni. However, when colistin was combined with meropenem and ceftazidime, additive effects with fractional inhibitory concentration (FIC) index ranging from 0.52 to 1 were observed. No antagonistic effect was evaluated among the examined isolates. ERIC-PCR analyses of A. baumanni isolates revealed significant genetic diversity, suggesting various sources of environmental contamination. We conclude that A. baumanni harbouring class 1 integrons in aquatic milieus are a significant source of ARGs and can transmit these elements to other organisms and consequently to man with significant public health implications.
First-principle calculations of sulfur dioxide adsorption on the Ca-montmorillonite
Authors: Fang Zhi-Jie , Song Chang-Hui , Liu Mei-Ling , Li Bo , Lin Shi-Kai , Lin Xiong-San , Zhou Xiang , He Qiu-Zhi , Mo Man 
Published: November 2022

AbstractAccording to the serious problem of sulfur dioxide pollution, montmorillonite is one of the effective ways in gas pollution control because of its excellent absorption properties. One of the fundamental questions is to fully understand sulfur dioxide absorption mechanism of montmorillonite. In this study, using the first-principle methods, we studied the adsorption characteristics of Ca-montmorillonite in the presence of $$\hbox {SO}_{{2}}$$

SO
2

. The adsorption energy and elasticity constants as a function of the adsorption capacity were also studied. The calculated results show that bridge site is the most stable adsorption site for $$\hbox {SO}_{{2}}$$

SO
2

with the adsorption energy of − 140 meV. As adsorbent, Ca-montmorillonite is a clay with layer-structure, most of bond lengths(such as Al–O, Mg–O, Si–O, and H–O) does not obviously change. As adsorbed gas, the O–S–O bond angle of adsorbed $$\hbox {SO}_{2}$$

SO
2

change from $$119.50^\circ$$

119
.

50
∘

to $$115.32^\circ$$

115
.

32
∘

. The volume and adsorption energies of Ca-montmorillonite almost increase linearly with increasing $$\hbox {SO}_{{2}}$$

SO
2

adsorption. By calculating the montmorillonite elasticity constants under different adsorption capacity, we found that the elasticity constant C33 which perpendicular to the crystal face, with the maximum changes from 450 to 326 GPa. In addition, Young’s modulus,bulk modulus and shear modulus significantly decrease with the increasing adsorption. The calculated results will not only help to understand the physical and chemical of montmorillonite but may also provide theoretical guidance for dealing with the problem of gas pollution.
Feasibility of using breath sampling of non-volatiles to estimate the prevalence of illicit drug use among nightlife attendees
Authors: Feltmann Kristin , Elgán Tobias H. , Böttcher Michael , Lierheimer Stefan , Hermansson Sigurd , Beck Olof , Gripenberg Johanna 
Published: November 2022

AbstractThe prevalence of drug use among nightlife attendees needs to be accurately estimated to, for example, evaluate preventive interventions. This study tested the feasibility of using a breath-sampling device to estimate the prevalence of drug use among nightlife attendees. The study was conducted at five nightclubs and a large music festival in Stockholm, Sweden. Participants were invited to participate and microparticles in exhaled breath were sampled and analyzed for 47 compounds using a state-of-the-art analytic method that follows forensic standards. In addition, participants’ breath alcohol concentration was measured and they were interviewed about demographics, drinking habits, and drug use. Of the people invited, 73.7% (n = 1223) agreed to participate, and breath samples were collected from 1204 participants. Breath sampling was fast and well-accepted by participants. 13 percent of participants tested positive for an illicit drug, but only 4.3% self-reported drug use during the last 48 h. The most common substances detected were cocaine, amphetamine, and MDMA. There was no agreement between self-reported and measured use of any drug. Breath sampling is a convenient method to test illicit drug use among a large number of participants at events, and can be used as an estimate of drug use prevalence.
The clinical impact of donor against recipient HLA one way mismatch on the occurrence of graft versus host disease in liver transplantation
Authors: Kim Sang Jin , Park Sunghae , Rhu Jinsoo , Kim Jong Man , Choi Gyu-Seong , Joh Jae-Won 
Published: November 2022

AbstractGraft versus host disease (GVHD) after liver transplantation (LT) is a rare, fatal disease. This study aimed to evaluate the risk factors of GVHD after LT including the human leukocyte antigen (HLA) donor-recipient relationship after LT. LT recipients, who underwent HLA typing together with donors, were included in the study. The donor against recipient (D → R) one-way mismatch of HLA loci was evaluated. HLA relationships, along with basic characteristics, were analyzed as variable factors of GVHD, graft survival, and patient survival. A total of 994 living donor LT (LDLT) and 393 deceased donor LT (DDLT) patients were included. Nine patients had suffered GVHD, four LDLT with D → R one-way at three loci, one LDLT without D → R one-way at three loci, and four DDLT without D → R one-way at three loci. Four (57.1%) of seven LDLT patients, with D → R one-way mismatch at three loci, developed GVHD. D → R one-way mismatch at three loci was related to high GVHD incidence (HR 787, p < 0.001, multivariate). D → R one-way mismatch at three loci was related to graft failure and patient death (HR 9.90, p = 0.020 and HR 12.8, p < 0.001, respectively, multivariate). Only one GVHD without D → R one-way mismatch at three loci, survived despite receiving multiple modalities including tumor necrosis factor-alpha inhibitors. D → R one-way mismatch at three loci was significantly related to GVHD incidence after LT.
Machine learning modeling of predictive external corrosion rates of spent nuclear fuel carbon steel canister in soil
Authors: Nguyen Thuy Chung , So Yoon-Sik , Yoo Jin-Soek , Kim Jung-Gu 
Published: November 2022

AbstractSoil corrosion is always a critical concern to corrosion engineering because of the economic influence of soil infrastructures as has been and has recently been the focus of spent nuclear fuel canisters. Besides corrosion protection, the corrosion prediction of the canister is also important. Advanced knowledge of the corrosion rate of spent nuclear fuel canister material in a particular environment can be extremely helpful in choosing the best protection method. Applying machine learning (ML) to corrosion rate prediction solves all the challenges because of the number of variables affecting soil corrosion. In this study, several algorithms of ML, including series individual, boosting, bagging artificial neural network (ANN), series individual, boosting, bagging Chi-squared automatic interaction detection (CHAID) tree decision, linear regression (LR) and an ensemble learning (EL) merge the best option that collects from 3 algorithm methods above. From the performance of each model to find the model with the highest accuracy is the ensemble stacking method. Mean absolute error performance matrices are shown in Fig. 15. Besides applying ML, the significance of the input variables was also determined through sensitivity analysis using the feature importance criterion, and the carbon steel corrosion rate is the most sensitive to temperature and chloride.
Characteristics of road traffic mortality and distribution of healthcare resources in Thailand
Authors: Seresirikachorn Kasem , Singhanetr Panisa , Soonthornworasiri Ngamphol , Amornpetchsathaporn Anyarak , Theeramunkong Thanaruk 
Published: November 2022

AbstractRoad traffic mortalities (RTMs), a leading cause of death globally, mostly occur in low- and middle-income countries, and having sufficient healthcare resources could lower the number of these fatalities. Our study aimed to illustrate the incidence of RTMs per 100,000 population and to compare the distribution of healthcare resources from 2011 to 2021 with rates of RTMs in the 77 provinces of Thailand. We divided the population into adults (≥ 15 years) and children (0–14 years). Lorenz curve and Gini coefficient were used to measure the level of distribution and equality of hospital resources and in relation to RTMs across the country. The average number of deaths was 30.34 per 100,000 per year, with male predominance. The RTM rates for adults and children were 32.71 and 19.08 per 100,000 respectively, and motorcycle accidents accounted for the largest percentage of deaths across all age groups. The Gini coefficient showed that operating rooms (0.42) were the least equally distributed hospital resource, while physicians were the most equally distributed (0.34). Anomalies were identified between the distribution of RTMs and available hospital resources. We hope our study will be beneficial in reallocating these resources more fairly to reflect the different numbers of traffic accidents in each province with the aim of reducing lower traffic-related deaths.
Fear of hypoglycemia and associated factors in hospitalized patients with type 2 diabetes: a cross‑sectional study
Authors: Huang Jing , Peng Wei , Ding Shenglan , Xiong Shuyuan , Liu Zhiping 
Published: November 2022

AbstractThe present cross-sectional survey was performed to assess the prevalence and factors associated with fear of hypoglycemia (FoH) in hospitalized patients with type 2 diabetes (T2D). Between July and December 2020, 494 patients with T2D were evaluated via structured questionnaires containing sociodemographic information, clinical information, and the Fear of Hypoglycemia-15 scale (FH-15). Patients were divided into the FoH and non-FoH groups according to the FH-15 score. Univariate and multivariate logistic regression analyses were performed to determine factors associated with FoH. Variables with P values < 0.1 in the univariate model were included in the multivariate model. In this study, the prevalence of FoH was 17.4% (86/494). 247 (50.0%) patients experienced hypoglycemic episodes in the past year, and 15 (3.0%) patients experienced severe hypoglycemic episodes in the past year. The mean age was 60.04 ± 11.71 years old, and female patients accounted for 39.9% of the sample. The item with the highest average FH-15 scores was: how often are you afraid of having hypoglycemia while alone? Multivariate logistic regression analysis indicated that living alone (OR 2.48; 95% CI 1.20–5.14; P = 0.015), number of hypoglycemic episodes in the past year (OR 1.06; 95% CI 1.03–1.10; P < 0.001), number of severe hypoglycemic episodes in the past year (OR 2.61; 95% CI 1.20–5.69; P = 0.016), and duration of insulin use (OR 1.06; 95% CI 1.02–1.10; P = 0.006) were associated with FoH. The prevalence of FoH in hospitalized patients with T2D was high. FoH was associated with living alone, number of hypoglycemic episodes in the past year, number of severe hypoglycemic episodes in the past year, and duration of insulin use. These findings can contribute to early decision-making for preventing, identifying, and improving FoH in patients with T2D. In the future, interventions aimed at reducing FoH to improve the harmful effects of FoH are necessary, such as increasing diabetes-related knowledge and skills, increasing social support, reducing psychological fear, and minimizing risks for hypoglycemic episodes.