bluuebunny/crossref_metadata_2025_split huggingface dataset:
Interbasin water transfers in the United States and Canada
Authors: Siddik Md. Abu Bakar , Dickson Kerim E. , Rising James , Ruddell Benjamin L. , Marston Landon T. 
Published: January 2023

AbstractInterbasin water transfers (IBTs) can have a significant impact on the environment, water availability, and economies within the basins importing and exporting water, as well as basins downstream of these water transfers. The lack of comprehensive data identifying and describing IBTs inhibits understanding of the role IBTs play in supplying water for society, as well as their collective hydrologic impact. We develop three connected datasets inventorying IBTs in the United States and Canada, including their features, geospatial details, and water transfer volumes. We surveyed the academic and gray literature, as well as local, state, and federal water agencies, to collect, process, and verify IBTs in Canada and the United States. Our comprehensive IBT datasets represent all known transfers of untreated water that cross subregion (US) or subdrainage area (CA) boundaries, characterizing a total of 641 IBT projects. The infrastructure-level data made available by these data products can be used to close water budgets, connect water supplies to water use, and better represent human impacts within hydrologic and ecosystem models.
Evaluation of ABCG2-mediated extra-renal urate excretion in hemodialysis patients
Authors: Ohashi Yuki , Toyoda Masao , Saito Nobumichi , Koizumi Masahiro , Kanai Genta , Komaba Hirotaka , Kimura Moritsugu , Wada Takehiko , Takahashi Hiroo , Takahashi Yuichiro , Ishida Naoto , Kakuta Takatoshi , Fukagawa Masafumi , Ichida Kimiyoshi 
Published: January 2023

AbstractTwo-thirds of urate is excreted via the renal pathway and the remaining one-third via the extra-renal pathway, the latter mainly via the intestine in healthy individuals. ABCG2, a urate exporter, is expressed in various tissues including the kidney and intestine, and its dysfunction leads to hyperuricemia and gout. ABCG2 is regarded as being responsible for most of the extra-renal urate excretion. However, the extra-renal urate excretion capacity via ABCG2 remains undefined in end-stage kidney diseases. Therefore, we evaluated the capacity of extra-renal ABCG2 using 123 anuric hemodialysis patients whose urate excretion depended on only the extra-renal pathway. ABCG2 function in each participant was estimated based on ABCG2 dysfunctional variants. We computed the uric acid pool (PoolUA) from bodyweight and serum urate level (SUA) using previously reported radio-isotopic data, and we analyzed the association between ABCG2 function and the PoolUA. SUA and PoolUA increased significantly with ABCG2 dysfunction, and extra-renal ABCG2 could excrete up to approximately 60% of the daily uric acid turnover in hemodialysis patients. Our findings indicate that the extra-renal urate excretion capacity can expand with renal function decline and highlight that the extra-renal pathway is particularly important in the uric acid homeostasis for patients with renal dysfunction.
Engineered nanovesicles from stromal vascular fraction promote angiogenesis and adipogenesis inside decellularized adipose tissue through encapsulating growth factors
Authors: Tu Jun , Zeng Yuyang , An Ran , Sun Jiaming , Wen Huicai 
Published: January 2023

AbstractAcellular matrix is a commonly used biomaterial in the field of biomedical engineering and revascularization is the key process to affect the effect of acellular matrix on tissue regeneration. The application of bioactive factors related to angiogenesis has been popular in the regulation of revascularization, but the immune system clearance, uncontrollable systemic reactions, and other factors make this method face challenges. Recent reports showed that engineered cells into nanovesicles can reorganize cell membranes and encapsulate cellular active factors, extending the in vitro preservation of cytokines. However, the problems of exogenous biological contamination and tumorigenicity restricted the clinical transformation and wide application of this method. Here, we for the first time engineer stromal vascular fraction (SVF) which is extracted from fat into nanovesicles (SVF-EVs) for angiogenesis in the acellular matrix. SVF-EVs not only promote the migration of vascular endothelial cells in vitro, but also facilitate the lipogenic differentiation of mesenchymal stem cells. In vivo, SVF-EVs enhanced the retention of decellularized adipose tissue after transplanting to the subcutaneous area of nude mice. Immunofluorescence staining further showed that SVF-EVs promoted the formation of vascular networks with large lumen diameter in the grafted acellular matrix, accompanied by adipocyte regeneration peripherally. These findings reveal that SVF-EVs can be a viable method for accelerating revascularization in acellular matrix, and this process of squeezing tissue into nanovesicles shows the potential for rapid clinical transformation.
Impact of the adjunctive use criteria for intravascular ultrasound-guided percutaneous coronary intervention and clinical outcomes
Authors: Suwannasom Pannipa , Chichareon Ply , Roongsangmanoon Worawut , Thongtanomkul Artit , Wongpen Anuchit , Muenkaew Muenpetch , Kanoksilp Anek , Chandavimol Mann , Kuanprasert Srun , Thakkinstian Ammarin , Srimahachota Suphot , Sansanayudh Nakarin 
Published: January 2023

AbstractThe impact of the adherence to the adjunctive use criteria (AUC) for intravascular ultrasound (IVUS) guided percutaneous coronary intervention (PCI) and clinical outcomes in low IVUS volume countries are limited. The current study compared the procedural success and complication rates between used and not used IVUS catheter in the patients who were met (C +) and were not met (C−) the AUC for IVUS-guided PCI. From June 2018 through June 2019, a total of 21,066 patients were included in the Thai PCI registry. Among the study population, 15,966 patients (75.8%) have met the IVUS-AUC. The IVUS-guided PCI rates were 14.5% and 11.3% in the C + and C − groups, respectively. After adjusting for covariables by propensity model, IVUS-guided PCI was identified as an independent predictor of the procedural success rate regardless of whether the AUC were met with the relative risk [RR (95% confidence interval (CI)] of 1.033(1.026–1.040) and 1.012(1.002–1.021) in C + and C− groups, respectively. IVUS-guided PCI increased the procedural complication risks in both groups but were not significant with corresponding RRs of 1.171(0.915–1.426) and 1.693(0.959–2.426). Procedural success was achieved with IVUS-guided PCI regardless of whether the AUC were met. IVUS-guided PCI did not lead to an increase in procedural complications.
Relationship between serum nitric oxide of patients with thyroid disorders and metabolic syndrome indices and nitrate concentration of water
Authors: Jafari Shaghayegh , Dehghani Mansooreh , Ghaem Haleh , Soveid Mahmood , Hashemi Hasan 
Published: January 2023

AbstractThis case–control study aimed to assess the effect of drinking water nitrate on serum nitric oxide concentration and the risk of metabolic syndrome (MetS) in the population in the Middle East. The study included 50 control and 50 thyroid disorder cases who were referred to two medical centers in 2021. In this study, serum nitric oxide concentration, drinking water nitrate, and metabolic syndrome components were measured in the two groups. The results showed there was a statistically significant difference between serum NO in the case and control groups (p-value < 0.001). There was a positive correlation between the concentration of nitrate in drinking water and serum nitric oxide in the case and control groups; however, this relationship was not significant statistically. A statistically significant difference was found between serum nitric oxide and systolic blood pressure in the cases (p-value < 0.05), but there was no significant difference between MetS and nitric oxide. Therefore, we concluded that the relationship between nitric oxide and nitrate in consuming water should be determined in thyroid patients. In addition to their water consumption, it is better to study the nitrate of foods, especially vegetables.
Detection of H2S, HF and H2 pollutant gases on the surface of penta-PdAs2 monolayer using DFT approach
Authors: Raval Dhara , Gupta Sanjeev K. , Gajjar P. N. 
Published: January 2023

AbstractIn this research, the adsorption of targeted noxious gases like H2S, HF and H2on penta-PdAs2monolayer are deeply studied by means of the density functional theory (DFT). After the capturing of three kind of pollutant gases (H2S, HF and H2), it is observed that, the electronic properties are slightly affected from the pristine one. In all cases, the physisorption interaction found with adsorption energy of − 0.49, − 0.39 and − 0.16 eV for H2S, HF and H2gases, respectively. Which is exposed that H2S gas strongly absorbed on penta-PdAs2nanosheet. In case of HF (H2) gas adsorbed systems, the obtained charge transfer is + 0.111 e (+ 0.037 e), revealed that the electrons are going to PdAs2nanosheet from the HF (H2) molecules. Further, under the non-equilibrium Green’s function (NEGF) theory, the IV response and sensitivity of absorbed H2S, HF and H2have been discussed. The results demonstrate that the H2S molecules on PdAs2has suitable adsorption strength and explicit charge transfer compared with other targeted molecules. Hence, our novel findings of H2S, HF and H2targeted gas sensing on penta-PdAs2nanosheet might provide reference-line to design modern gas sensor device at the nano-scale.
Betulinaldehyde exhibits effective anti-tumor effects in A549 cells by regulating intracellular autophagy
Authors: Huang Pan-hao , Duan Xiang-bing , Tang Zi-zhao , Zou Zhen-xing , Song Wen-min , Gao Ge , Li Dai , Nie Fang-qin , Yan Xin , Fu Yang-xia , Guo Ren , Xu Yan-ying 
Published: January 2023

AbstractIt is of great significance to find new effective drugs for an adjuvant therapy targeting lung cancer to improve the survival rate and prognosis of patients with the disease. Previous studies have confirmed that certain Chinese herbal extracts have clear anti-tumor effects, and in our preliminary study, betulinaldehyde was screened for its potential anti-tumor effects. The current study thus aimed to confirm the anti-tumor effect of betulinaldehyde, using in vitro experiments to explore its underlying molecular mechanism. It was found that betulinaldehyde treatment significantly inhibited the viability, proliferation, and migration of A549 cells in a dose-dependent manner. In addition, betulinaldehyde inhibited the activation of Akt, MAPK, and STAT3 signaling pathways in A549 cells in a time-dependent manner. More importantly, betulinaldehyde also decreased the expression level of SQSTM1 protein, increased the expression level of LC3 II, and increased the autophagy flux in A549 cells. The pretreatment of A549 cells with the autophagy inhibitor, 3-methyladenine, could partially negate the anti-tumor effects of betulinaldehyde. These findings suggest that betulinaldehyde could significantly inhibit the oncological activity of A549 cells by regulating the intracellular autophagy level, making it a potentially effective option for the adjuvant therapy used to treat lung cancer in the future.
Device simulations with A U-Net model predicting physical quantities in two-dimensional landscapes
Authors: Lee Wen-Jay , Hsieh Wu-Tsung , Fang Bin-Horn , Kao Kuo-Hsing , Chen Nan-Yow 
Published: January 2023

AbstractAlthough Technology Computer-Aided Design (TCAD) simulation has paved a successful and efficient way to significantly reduce the cost of experiments under the device design, it still encounters many challenges as the semiconductor industry goes through rapid development in recent years, i.e. Complex 3D device structures, power devices. Recently, although machine learning has been proposed to enable the simulation acceleration and inverse‑design of devices, which can quickly and accurately predict device performance, up to now physical quantities (such as electric field, potential energy, quantum-mechanically confined carrier distributions, and so on) being essential for understanding device physics can still only be obtained by traditional time-consuming self-consistent calculation. In this work, we employ a modified U-Net and train the models to predict the physical quantities of a MOSFET in two-dimensional landscapes for the first time. Errors in predictions by the two models have been analyzed, which shows the importance of a sufficient amount of data to prediction accuracy. The computation time for one landscape prediction with high accuracy by our well-trained U-Net model is much faster than the traditional approach. This work paves the way for interpretable predictions of device simulations based on convolutional neural networks.
Assessment of COVID-19 preparedness response plan on higher education students simulation of WHO intra-action review in Egypt
Authors: Saeed Hager Moustafa , SAAD ELGHAREEB Azza , El-Hodhod Mostafa Abdel Aziz , Samy Gamal 
Published: January 2023

AbstractBecause of the COVID-19 outbreak, Mass gathering restrictions were imposed. The lockdown of the Higher Education Institutions was obligatory to save lives. In February 2021 in Egypt, HEIs were allowed to ease the lockdown restrictions on a case-by-case basis gradually. In this paper, we propose a risk evaluation of planned regular mass gathering events during the pandemic, such as students gathering on-campus during indoor exams, by implementing WHO COVID-19 Strategic Preparedness and Response Plan through Intra-Action Review guidance. This one-group posttest-only design study was done on October 6 University campus during indoor students' exams in Giza, Egypt. We conducted IAR to implement the WHO's COVID- 19 SPRP; Country-level coordination; risk communication; surveillance, rapid response teams; points of entry; infection prevention control; laboratories; supply chain; case management; essential health services, and other possible topics. Between February-21, 2021; April-10, 2021, 25,927 students attended the on-campus living exams. Our result suggests that the high level of Readiness–Capacity during mass gatherings will reduce COVID-19 transmission. The most compelling evidence is the significance of synchronization between the ten pillars in preventing COVID-19 transmission. These findings may be used to influence decision-making for continual improvement of the operational planning guidelines during the outbreaks.
Classification of red cell dynamics with convolutional and recurrent neural networks: a sickle cell disease case study
Authors: Darrin Maxime , Samudre Ashwin , Sahun Maxime , Atwell Scott , Badens Catherine , Charrier Anne , Helfer Emmanuèle , Viallat Annie , Cohen-Addad Vincent , Giffard-Roisin Sophie 
Published: January 2023

AbstractThe fraction of red blood cells adopting a specific motion under low shear flow is a promising inexpensive marker for monitoring the clinical status of patients with sickle cell disease. Its high-throughput measurement relies on the video analysis of thousands of cell motions for each blood sample to eliminate a large majority of unreliable samples (out of focus or overlapping cells) and discriminate between tank-treading and flipping motion, characterizing highly and poorly deformable cells respectively. Moreover, these videos are of different durations (from 6 to more than 100 frames). We present a two-stage end-to-end machine learning pipeline able to automatically classify cell motions in videos with a high class imbalance. By extending, comparing, and combining two state-of-the-art methods, a convolutional neural network (CNN) model and a recurrent CNN, we are able to automatically discard 97% of the unreliable cell sequences (first stage) and classify highly and poorly deformable red cell sequences with 97% accuracy and an F1-score of 0.94 (second stage). Dataset and codes are publicly released for the community.
Symptoms timeline and outcomes in amyotrophic lateral sclerosis using artificial intelligence
Authors: Segura Tomás , Medrano Ignacio H. , Collazo Sergio , Maté Claudia , Sguera Carlo , Del Rio-Bermudez Carlos , Casero Hugo , Salcedo Ignacio , García-García Jorge , Alcahut-Rodríguez Cristian ,   Savana Research Group, Aquino José , Casadevall David , Donaire David , Marin-Corral Judith , Menke Sebastian , Polo Natalia , Taberna Miren 
Published: January 2023

AbstractAmyotrophic lateral sclerosis (ALS) is a fatal, neurodegenerative motor neuron disease. Although an early diagnosis is crucial to provide adequate care and improve survival, patients with ALS experience a significant diagnostic delay. This study aimed to use real-world data to describe the clinical profile and timing between symptom onset, diagnosis, and relevant outcomes in ALS. Retrospective and multicenter study in 5 representative hospitals and Primary Care services in the SESCAM Healthcare Network (Castilla-La Mancha, Spain). Using Natural Language Processing (NLP), the clinical information in electronic health records of all patients with ALS was extracted between January 2014 and December 2018. From a source population of all individuals attended in the participating hospitals, 250 ALS patients were identified (61.6% male, mean age 64.7 years). Of these, 64% had spinal and 36% bulbar ALS. For most defining symptoms, including dyspnea, dysarthria, dysphagia and fasciculations, the overall diagnostic delay from symptom onset was 11 (6–18) months. Prior to diagnosis, only 38.8% of patients had visited the neurologist. In a median post-diagnosis follow-up of 25 months, 52% underwent gastrostomy, 64% non-invasive ventilation, 16.4% tracheostomy, and 87.6% riluzole treatment; these were more commonly reported (all Ps < 0.05) and showed greater probability of occurrence (all Ps < 0.03) in bulbar ALS. Our results highlight the diagnostic delay in ALS and revealed differences in the clinical characteristics and occurrence of major disease-specific events across ALS subtypes. NLP holds great promise for its application in the wider context of rare neurological diseases.
Epidemiology of patients who died in the emergency departments and need of end-of-life care in Korea from 2016 to 2019
Authors: Lee Sun Young , Ro Young Sun , Shin Sang Do , Ko Eunsil , Kim Seong Jung 
Published: January 2023

AbstractThe need of palliative care at the end-of-life in the emergency departments (ED) is growing. The study aims to investigate the epidemiology of patients who died during care in ED using nationwide database, and to estimate the need for palliative care in the ED. A retrospective observational study was conducted using the National Emergency Department Information System (NEDIS) database. Patients who died during ED care between 2016 and 2019 were included. Palliative care-eligible disease was defined as cancer (C00–C99 of ICD-10), chronic respiratory disease (CRD, J44–J46), chronic liver disease (CLD, K70–K77), and heart failure (HF, I50). Among the 36,538,486 ED visits during 4 years, 34,086 ED deaths were included. The crude incidence rate of ED deaths per 100,000 person-year was steady between 16.6 in 2016 and 16.3 in 2019 (p-for-trend = 0.067). Only 3370 (9.9%) ED deaths were injury, while 30,716 (90.1%) deaths were related to diseases. The most common ED diagnosis was cardiac arrest (22.1%), followed by pneumonia (8.6%) and myocardial infarction (4.7%). In cases of disease-related ED deaths, about 34.0% stayed longer than 8 h in the ED (median (interquartile range): 4.5 (1.9–11.7) h) and 44.2% received cardiopulmonary resuscitation (CPR) at end-of-life time. A quarter of the disease-related ED deaths were diagnosed with palliative care eligible disease: cancer (16.9%), CLD (3.8%), HF (3.5%), and CRD (1.4%). Cancer patients received less CPR (23.4%) and stayed longer in the ED (median (interquartile range): 7.3 (3.2–15.9) h). Over the past 4 years, more than 30,000 patients, including 5200 cancer patients, died during care in the ED. A quarter of disease-related ED death were patients with palliative care-eligible condition and more than 30% of them stayed longer than 8 h in the ED before death. It is time to discuss about need of palliative care in the ED.
Foundation integrity assessment of failed buildings in Ehamufu and Aguamede, South East Nigeria
Authors: Eze Kelechi Nnaji , Igwe Ogbonnaya , Okereke Daniel Nnadozie , Uwom Chinenyem Stella , Ukor Kelechi Paulinus 
Published: January 2023

AbstractThe failure of civil engineering structures especially buildings by severe cracks, partial, or complete collapse have kept the natives of communities in Aguamede and Ehamufu (Southeastern Nigeria) communities in a bothered state. Detailed geotechnical techniques and X-ray diffraction analysis were applied to investigate the soil samples from the study area. Geotechnical results revealed that the soil of the area have high clay content (62.78–82.37%), high liquid limit (48–54%) with a plasticity index of 20–28%, high moisture content (25.06–27.28%) and low permeability of 2.21 × 10–8–1.74 × 10–6 (m/sec) which hinders drainage. Maximum dry density values were in the range of 1.73–1.98(g/cm3) with an optimum moisture content of 17.5–19.8% and average specific gravity of 2.5 (mg/m3). Shear strength test revealed high cohesion (32–36.4 KN/m2) to low angle of intergranular friction (10–12°). Coefficient of consolidation ranges from 0.04 to 0.94 m2/year were observed. Coefficient of volume compressibility values were in the range of 0.00012–0.00028 m2/kN and showed that the soils are highly susceptible to compression as the foundations are underlain by an inadequate soil layer that is vulnerable to settlement in amount ranging from 0.553–0.654 mm/year at load pressure of 400 kN/m2. X-ray diffraction analysis revealed that the mineralogy of soil in the study area consist of quartz (89–89.7%) and kaolinite (10.3–11%). Statistical analyses showed that specific gravity, cohesion, clay, silt, NMC, PI, sand, LL and phi have strong interrelation in the correlation table. Comparing the geotechnical parameters from the study area with the Nigerian specification for constructions, it is shown that the study area has poor foundation materials.
Discovery of associative patterns between workplace sound level and physiological wellbeing using wearable devices and empirical Bayes modeling
Authors: Srinivasan Karthik , Currim Faiz , Lindberg Casey M. , Razjouyan Javad , Gilligan Brian , Lee Hyoki , Canada Kelli J. , Goebel Nicole , Mehl Matthias R. , Lunden Melissa M. , Heerwagen Judith , Najafi Bijan , Sternberg Esther M. , Kampschroer Kevin , Ram Sudha 
Published: January 2023

AbstractWe conducted a field study using multiple wearable devices on 231 federal office workers to assess the impact of the indoor environment on individual wellbeing. Past research has established that the workplace environment is closely tied to an individual’s wellbeing. Since sound is the most-reported environmental factor causing stress and discomfort, we focus on quantifying its association with physiological wellbeing. Physiological wellbeing is represented as a latent variable in an empirical Bayes model with heart rate variability measures—SDNN and normalized-HF as the observed outcomes and with exogenous factors including sound level as inputs. We find that an individual’s physiological wellbeing is optimal when sound level in the workplace is at 50 dBA. At lower (<50dBA) and higher (>50dBA) amplitude ranges, a 10 dBA increase in sound level is related to a 5.4% increase and 1.9% decrease in physiological wellbeing respectively. Age, body-mass-index, high blood pressure, anxiety, and computer use intensive work are person-level factors contributing to heterogeneity in the sound-wellbeing association.