bluuebunny/crossref_metadata_2025_split huggingface dataset:
The essential liaison of two copper proteins: The Cu-sensing transcription factor Mac1 and the Cu/Zn superoxide dismutase Sod1 in Saccharomyces cerevisiae
Authors: Dialynaki Dimitra , Stavropoulou Athanasia , Laskou Maria , Alexandraki Despina 
Published: September 2022

Abstract
Although copper is an essential trace element for cell function and viability, its excess can lead to protein oxidation, DNA cleavage, and ultimate cell damage. Cells have established a variety of regulatory mechanisms to ensure copper ion homeostasis. In Saccharomyces cerevisiae, copper sensing and response to copper deficiency are regulated by the transcription factor Mac1. Our group has previously reported that in addition to copper, several chromatin proteins modulate Mac1 functionality. In this study, based on a synthetic growth deficiency phenotype, we showed that the Cu/Zn superoxide dismutase Sod1 plays an important role in Mac1 transcriptional activity, in unchallenged nutrient-rich growth conditions. Sod1 is a multipotent cytoplasmic and mitochondrial enzyme, whose main known function is to detoxify the cell from superoxide ions. It has been previously reported that Sod1 also enters the nucleus and affects the transcription of several genes, some of which are involved in copper homeostasis under Cu-depleted (Wood and Thiele, 2009) or only under specific oxidative stress conditions (Dong et al., 2013; Tsang et al., 2014). We have shown that Sod1 physically interacts with Mac1 transcription factor and is important for the transactivation as well as its DNA binding activities. On the other hand, a constitutively active mutant of Mac1 is not affected functionally by the Sod1 ablation, pointing out that Sod1 contributes to the maintenance of the copper-unchelated state of Mac1. In conclusion, we showed that Sod1-Mac1 interaction is vital for Mac1 functionality, regardless of copper medium deficiency, in unchallenged growth conditions, and we suggest that Sod1 enzymatic activity may modify the redox state of the cysteine-rich motifs in the Mac1 DNA-binding and transactivation domains.
Addition of olanzapine to standard chemotherapy-induced nausea and vomiting prophylaxis in hematopoietic stem cell transplant
Authors: Chen Ashley , Chheng Emily , Deal Allison , Heiling Hillary , Crona Daniel , DeVane Susanna , Grgic Tatjana , Nguyen Veronica , Patel Sheel , Riches Marcie , Shaw J. Ryan , Stocker Kurtis , Trepte Morgan , Whitesell Ashlyn , Youmans Danielle , Ptachcinski Jonathan 
Published: September 2022

Abstract
Purpose: Chemotherapy-induced nausea and vomiting (CINV) remains a significant barrier to quality of life. Hematopoietic cell transplant (HCT) recipients often receive highly emetogenic chemotherapy (HEC) that increases incidence of CINV. Guideline recommendations include olanzapine plus a corticosteroid, serotonin antagonist, and neurokinin-1 antagonist for CINV prophylaxis in patients receiving HEC. However, olanzapine’s role in CINV prevention during HCT has not been evaluated prospectively.
Methods: This was a randomized phase 3 trial where olanzapine 5 mg daily was compared to placebo plus a 3-drug CINV regimen during chemotherapy plus three additional days. The primary endpoint was a complete response (CR) defined as no emesis and minimal nausea.
Results: Ninety-one HCT recipients (autologous, n=69; allogeneic, n=22) were assessed. The primary endpoint was achieved in 46.7% from the olanzapine arm versus 28.3% from placebo (p=0.085). Median antiemetic doses for breakthrough CINV was significantly less (2 [IQR 0-4]; p=0.003) in the olanzapine arm. Minimal nausea was achieved in 55.6% versus 32.6% of patients, respectively (p=0.04) and fewer rescue antiemetics were required. Adverse events were similar between arms.
Conclusion: Addition of olanzapine demonstrated clinical improvements of CR rates among HCT recipients and significant improvements in secondary outcomes. Olanzapine 5 mg daily was safe and tolerable with minimal adverse events.
Novel Hybrid ARIMA-BiLSTM Model for Forecasting of Rice Blast Disease Outbreaks for Sustainable Rice Production
Authors: Varsha M , Poornima B , Kumar MP Pavan , Basavarajappa S 
Published: September 2022

Abstract
In recent years, the application of artificial intelligence (AI) in agriculture has grown to be the most important research domain. The proposed work focuses on forecasting of rice blast disease outbreaks in paddy crop. Disease management in the farm fields is the most difficult problem on the planet. There are variety of reasons for this, first lack of farmers experience in diagnosing diseases, second experts experience in detecting diseases visually, third unfavourable climate. Recent days, researchers have offered variety of time series techniques in different applications. This study adds time series techniques to the field of agriculture by forecasting crucial rice blast disease outbreaks in paddy crop of Davangere region based on daily weather data obtained from KSNDMC. The statistical time series technique called ARIMA is trained by employing real data of blast disease outbreaks in Davangere region from the period of 2015–2019. Meanwhile deep BiLSTM model is trained by employing real weather data and blast disease outbreaks of Davangere region. Both the models are evaluated by performance metrics such as mean squared error and mean absolute error. The proposed research is focused on hybrid model ARIMA-BiLSTM which is a combination of statistical ARIMA model and deep BiLSTM model. Seasonal component of rice blast disease outbreak feature is extracted from additive decompose function used in ARIMA model and fed as dependent feature for BiLSTM model. According to the results obtained, the hybrid approach has the ability to successfully forecast blast disease outbreaks in paddy crop with mean squared error 0.037 and mean absolute error 0.028 compared to statistical ARIMA and deep BiLSTM model.
Forecasting water demand for Istanbul by applying different machine learning algorithms
Authors: PEKEL Engin 
Published: September 2022

Abstract
This paper applies three machine learning algorithms, namely decision tree, random forest, and AdaBoost, and two hybrid algorithms, particle swarm optimization and genetic algorithm, to monthly water prediction data. Experiments were carried out on the train and test set according to the parameters affecting the performance of the relevant algorithms. Further, the implementations of the performed algorithms are experimentally compared with each other in the training and testing stage by providing graphical illustrations of the İstanbul water consumption dataset. The numerical results indicate that the random forest algorithm has shown very decent results in the training and testing phase by providing the 0.92 R2 and 0.0238 mean absolute percentage error (MAPE) and 0.1493 MAPE and 0.83251 R2 respectively.
A novel approach for the endothelialization of xenogeneic decellularized vascular tissues by human cells utilizing surface modification and dynamic culture
Authors: Ho Wen-Jin , Kobayashi Mako , Murata Kozue , Hashimoto Yoshihide , Izumi Kenji , Kimura Tsuyoshi , Kanemitsu Hideo , Yamazaki Kazuhiro , Ikeda Tadashi , Minatoya Kenji , Kishida Akio , Masumoto Hidetoshi 
Published: September 2022

Abstract
Decellularized xenogeneic vascular grafts can be used in revascularization surgeries. We have developed decellularization methods using high hydrostatic pressure (HHP), which preserves the extracellular structure. Here, we attempted ex vivo endothelialization of HHP-decellularized xenogeneic tissues using human endothelial cells (ECs) to prevent clot formation against human blood. Slices of porcine aortic endothelium were decellularized using HHP and coated with gelatin. Human umbilical vein ECs were directly seeded and cultured under dynamic flow or static conditions for 14 days. Dynamic flow cultures tend to demonstrate higher cell coverage. We then coated the tissues with the E8 fragment of human laminin-411 (hL411), which has high affinity for ECs, and found that Dynamic/hL411showed high area coverage, almost reaching 100% (Dynamic/Gelatin vs Dynamic/hL411; 58.7 ± 11.4 vs 97.5 ± 1.9%, P = 0.0017). Immunostaining revealed sufficient endothelial cell coverage as a single cell layer in Dynamic/hL411. A clot formation assay using human whole blood showed low clot formation in Dynamic/hL411, almost similar to that in the negative control, polytetrafluoroethylene. Surface modification of HHP-decellularized xenogeneic endothelial tissues combined with dynamic culture achieved sufficient ex vivo endothelialization along with prevention of clot formation, indicating their potential for clinical use as vascular grafts in the future.
Tumor in transit: Is there a way out?
Authors: Walse Rohit , Pant Bhagwati , Sivadasapillai Harikrishnan 
Published: September 2022

Abstract
A 50 year-old lady, was referred to our institute with exertional dyspnea (New York Heart Association functional class II). Her echocardiogram revealed a mobile mass in right atrium moving in and out of right ventricle across tricuspid valve in diastole and systole respectively. Inferior vena cava angiogram confirmed the findings. She then underwent surgical correction and has been asymptomatic on follow up.
Laplacian Regularized Motion Tomography for Underwater Vehicle Flow Mapping with Sporadic Localization Measurements
Authors: Ouerghi Meriam , Hou Mengxue , Zhang Fumin 
Published: September 2022

Abstract
Localization measurements for an Autonomous Underwater Vehicle (AUV) are often difficult to obtain. In many cases, localization measurements are only available sporadically after the AUV comes to the sea surface. Sincethe motion of AUVs is often affected by unknown underwater flow fields, the sporadic localization measurements carry information of the underwater flow field. Motion tomography (MT) algorithms have been developed to compute a underwater flow map based on the sporadic localization measurements. This paper extends MT by introducing Laplacian regularization in to the problem formulation and the MT algorithm. Laplacian regularization enforces smoothness in the spatial distribution of the underwater flow field. The resulted Laplacian regularized motion tomography (RMT) algorithm converges to achieve a finite error bounded. The performance of the RMT and other variants of MT are compared through the method of data resolution analysis. The improved performance of RMT is confirmed by experimental data collected from underwater glider ocean sensing experiments.
Inter-unit management of neonates with congenital heart diseases between NICU and PICU
Authors: Ibi Kyosuke , Takahashi Naoto 
Published: September 2022

Abstract
Background: Neonates undergoing cardiac surgeries require highly specialized perioperative care. However, limited information is currently available on the impact of the preoperative location of neonates undergoing cardiac surgeries on the management and outcomes. This was a retrospective observational study that compared management patterns, morbidity, and mortality among infants before and after the renovation of the neonatal intensive care unit (NICU) and pediatric intensive care unit (PICU) in a single university hospital.
Methods: We retrospectively reviewed the medical records of neonates admitted to the University of Tokyo Hospital NICU who underwent cardiac surgery and were treated in the PICU during hospitalization. We collected data on infants born in two different time periods (“Before”: in 2017 and 2018, and “After”: in 2020 and 2021). The “Before” group comprised patients managed in the previous ward, while the “After” group included patients managed in the new ward.
Results: Maternal age was higher and complicated cases were significantly more frequent in the “After” group (p<0.05). However, in-hospital mortality was similar between the two groups (p=0.98). Patients were exchanged between the NICU and PICU significantly more often in the “After” group (p<0.01). Patients in the “After” group left the PICU earlier after cardiac surgeries.
Conclusions: The results of this retrospective analysis of a single center showed that management plans for neonates with congenital heart defects may be changed depending on the ward arrangement. Patients were transferred between the NICU and PICU more frequently when adjacent to each other, which enabled an earlier discharge from the PICU.
Use of IQOSTM (a heated tobacco product) in Italy: A cross-sectional survey
Authors: Pellegatti Tommaso , Paparatti Umberto di Luzio 
Published: September 2022

Abstract
Background: Limited data are available on the use of heated tobacco products (HTPs) and specifically the use of IQOS™ in Italy. Here, we present the results of a cross-sectional survey on a randomly selected sample of registered of IQOS™ legal age users with the aim of assessing their use behaviors associated with IQOS™ and previous tobacco use history to better understand patterns of IQOS™ use at individual and population levels in Italy.
Methods: A quantitative survey on 3002 interviews was conducted from May 20 to May 26, 2020, on a sample of IQOS™ users of both sexes, aged 18-80 years and who had used at least 100 tobacco units (HEETSTM) in their lifetime.
Results: The mean age at the time of starting using IQOSTM was 36.3 years. Only 0.8% had started regularly (at least 1 HEETSTM per day) using IQOS™ at 16-<18 years, whereas the majority started at 25-44 years (52.5%). For 64% of respondents, IQOS™ was their exclusive tobacco product, whereas 36% used IQOS™ in combination with another tobacco and/or nicotine product (TNP) (mainly IQOS™ and cigarettes: 25%). Ninety percent of IQOS™ users were cigarette smokers (89.7%) or e-cigarette users (0.3%) at the time when they started using IQOS™. Only 0.6% had never smoked, and 8.3% were former cigarette smokers or e-cigarette users when they started to use IQOS™.
Conclusions: The vast majority of respondents were already smokers when they switched to IQOS™, suggesting that the product does not pose a strong risk of attracting nicotine-naïve users. Further, most IQOS™ users in this survey reported they no longer smoke cigarettes. Our findings indicate that the use of alternative TNPs has the potential to reduce the number of cigarette smokers in Italy.
Beyond the state of the art of reverse vaccinology: predicting vaccine efficacy with the Universal Immune System Simulator for influenza
Authors: Russo Giulia , Crispino Elena , Maleki Avisa , Salvatore Valentina Di , Pappalardo Francesco 
Published: September 2022

Abstract
When it was first introduced in 2000, reverse vaccinology was defined as an in silico approach that begins with the pathogen's genomic sequence and concludes with a list of potential protein and/or peptide candidates that need to be experimentally confirmed for vaccine production. During the subsequent years, reverse vaccinology has dramatically changed: now it consists of a large number of bioinformatics tools and processes namely subtractive proteomics, computational vaccinology, immunoinformatics, and in silico related procedures. However, the state of the art of reverse vaccinology still misses the ability to predict the efficacy of the proposed vaccine formulation. Here, we describe how to fill the gap introducing an advanced immune system simulator able to test the efficacy of a vaccine formulation against the disease for which it has been designed. As a working example, we present a fully application of this advanced reverse vaccinology approach to design and predict the efficacy of a potential vaccine formulation against influenza H5N1. Climate change and melting glaciers are critical issues due to reactivating frozen viruses and emerging new pandemics. H5N1 is one of the potential strains present in frozen lakes that can raise a pandemic. Investigating structural antigen protein is the most profitable therapeutic pipeline to generate an effective vaccine against H5N1. In particular, we designed a multi-epitope vaccine based on predicted epitopes of hemagglutinin and neuraminidase proteins that potentially trigger B-cells, CD4, and CD8 T-cell immune responses. Antigenicity and toxicity of all predicted CTL, Helper T-lymphocytes, and B-cells epitopes were evaluated, and both antigenic and non-allergenic epitopes were selected. In the perspective of advanced reverse vaccinology, the Universal Immune System Simulator, an in silico trial computational framework, was applied to estimate vaccine efficacy using a cohort of 100 digital patients.
Predictors of mortality in hospitalized elderly patients with community-acquired pneumonia: A three-year retrospective clinical evaluation
Authors: Arian Mahdieh , Oghazian Mohammad Bagher 
Published: September 2022

Abstract
Background/Objective:
Community-acquired pneumonia (CAP) is one of the common causes of hospitalization in the elderly. This study aimed to investigate the clinical findings and the underlying risk factors of mortality in elderly hospitalized patients with CAP.
Methods
The research population consisted of all patients with CAP, aged 60-year-old or over and admitted to a tertiary hospital within three years. Questionnaires were filled out to record patients' personal information, clinical data, and related findings from their medical records.
Results
In this cross-sectional study, 90 hospitalized patients were included with a mean age of 73.04 ± 12.32. Coughing was the most prevalent clinical sign in 76.7% of admitted patients. The most common underlying diseases were diabetes (47.8%) and cardiovascular diseases (42.2%). The result of the present study showed that the mortality rate in hospitalized patients with CAP is correlated with age ≥ 65 years (odd ratio (OR) = 6.51), O2 saturation < 90% OR = 8.61, glucose ≥ 250 mg/dL (OR = 9.83), ALT > 58 or AST > 38 U/L (OR = 6.8), serum albumin < 2.2 mg/dL (OR = 6.62), and rise in WBC count > 13,000/mm3 (OR = 7.14), respectively.
Conclusion
Our results suggested that age over 65 years, low O2 saturation, high blood glucose, elevated liver enzymes, low serum albumin, and rise in WBC count are the main clinical factors of mortality in elderly hospitalized patients with CAP. Future studies should seek the impact of these clinical findings and risk factors of CAP in early treatment, the costs of treatment, and the mortality rate.
Gated Community Potret Kesenjangan Sosial
Authors: Noya Hendy Thomi , Wiyatiningsih  
Published: September 2022

Title: Gated Community A Portrait of Social Gaps. Case Study: Casa Grande Real Estate in Yogyakarta

The rapid development of Yogyakarta affects the spread of housing areas to the region of Sleman Regency. Various types of housing overgrow. The middle-high accommodations are usually exclusive and surrounded by fences. The gated community has become a trend for the community’s privacy and security. A gated community's existence can potentially create social gaps between residents and local people. Based on the background, the study’s purpose of identifying social gaps caused by the gated community and the influencing architectural elements. The study implemented a qualitative research method with a case study approach comparing the case with other cases as the context. The study was done in Casa Grande real estate compared to Bale Hinggil and Pesona Merapi real estate. The three cases are in Sleman Regency, Yogyakarta Province. The study results show that the fences bordering the housing community strengthen the concept of “the others” as dangerous people that must be watched over. However, the development of social media changes the restricted relation into partnership relations. Social segregation that groups people according to economic class is shifting. However, a gated community still exists to meet modern society’s needs, lifestyle, privacy, comfort, and security.
Train traffic planning in intelligent transportation systems
Authors: Baranov, L. A. , Safronov A. I. , Sidorenko V. G. 
Published: September 2022

Aim. To suggest a new method of energy-efficient traffic planning for subways. Traffic planning is understood as passenger train scheduling in compliance with all the applicable requirements and restrictions involving hourly performance in terms of the specified number of handled train pairs, efficient use of the theoretical and practical capacity of a given subway line, safety of vehicle traffic ensured by timely technical diagnostics of the rolling stock in the form of scheduled repairs and inspections in depots and/or lineside technical inspection stations, passenger comfort expressed in the uniformity of train delivery to stations, which, in turn, ensures the redistribution of passenger flows at stations and prevents congestion on platforms. Methods. The paper uses methods of automated construction of target metro train schedules that are based on the criteria of train spacing uniformity, as well as uniformity of rolling stock distribution in the process of transition planning, with subsequent redistribution of delay times defined by the automation algorithm over the station-to-station travel times. The method of uniform travel times is based on minimizing the sum of square deviations of departure times for all stations and all trains. The method of vehicle uniformity within transition processes is based on the application of the Euclidean integer division algorithm. When preparing the paper, the authors took into account the fact that metro lines feature systems of various levels of automation regulated by the IEC 62290-1-2014 international standard. Attention was paid not only to transportation systems with high degrees of automation (classified as GoA3 and GoA4 in the standards), but those with low automation (classified as GoA0, GoA1 and GoA2) as well. Results. The method proposed in the paper clearly shows reduced power consumption associated with train traction that is proportional to the durations of delayed departures defined by the automation algorithms of the intelligent automated system for target metro train schedule construction. Conclusions. The presented approach clearly indicates a direct correlation between the energy efficiency of a train schedule and the uniformity of distribution of control actions that adjust train spacing and the durations of the adopted delays, defines the sequences of added/removed units of rolling stock within transition processes, as well as rational night-time train allocation. The materials presented in the paper extend the available knowledge in the field of automation of metro train traffic planning, thus enabling further improvement of the methods of intelligent transportation system design that take into account the deployed highly automated train driving systems (GoA3 and GoA4).