bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effective approaches to disaster evacuation during a COVID-like pandemic
Authors: Tsai Yi-Lin , Sitepu Dymasius Y. , Chappell Karyn E. , Mediratta Rishi P. , Wang C. Jason , Kitanidis Peter K. , Field Christopher B. 
Published: November 2022

Abstract
Since COVID-19 vaccines became available, no studies have quantified how different disaster evacuation strategies can mitigate pandemic risks in shelters. Therefore, we applied an age-structured epidemiological model, known as the Susceptible-Exposed-Infectious-Recovered (SEIR) model, to investigate to what extent different vaccine uptake levels and the Diversion protocol implemented in Taiwan decrease infections and delay pandemic peak occurrences. Taiwan’s Diversion protocol involves diverting those in self-quarantine due to exposure, thus preventing them from mingling with the general public at a congregate shelter. The Diversion protocol, combined with sufficient vaccine uptake, can decrease the maximum number of infections and delay outbreaks relative to scenarios without such strategies. When the diversion of all exposed people is not possible, or vaccine uptake is insufficient, the Diversion protocol is still valuable. Furthermore, a group of evacuees that consists primarily of a young adult population tends to experience pandemic peak occurrences sooner and have up to 180% more infections than does a majority elderly group when the Diversion protocol is implemented. However, when the Diversion protocol is not enforced, the majority elderly group suffers from up to 20% more severe cases than the majority young adult group.
Does the Metro System Change Urban Form? A Difference-in-Differences Analysis of the Taipei Metropolitan Area, Taiwan
Authors: Chiu Bing-yu 
Published: November 2022

Abstract

How does urban form change after investments in metro systems? Most of the new metro systems around the world currently under construction are in middle-income countries. As economic development is often a policy goal of transit investments, the urban form effects of earlier systems and their economic implications will be of interest for policy makers in these countries. Home to Taiwan’s first metro system that opened in 1996, Taipei can offer lessons on whether, how, and under what conditions its transit investments affect urban form. The objective of this study is to examine whether the introduction of new metro stations in the Taipei metropolitan area influenced urban form by concentrating both population and jobs to their proximity, and whether the duration of presence of metro stations is associated with the extent of such urban form effects. The urban form characteristics of interest were the population density and job density of a traffic analysis zone (TAZ). I used ArcGIS to identify TAZs within 800 meters from metro stations that opened at various times, and applied difference-in-differences, an econometric method of causal inference often used for policy evaluation, to analyze TAZ-level population and employment data from sources including the most recent 2000 and 2009 household travel surveys. Results show that newly introduced metro stations had no effects on the population density and job density of TAZs in their proximity. Although my findings neither confirm nor contribute to the existing knowledge about the relationship between transit investments and urban form, they sustain the academic quest for such relationship and advocate for policy change. Most importantly, they present evidence that the disconnect between transit investments and urban form changes should be remedied by intentional planning measures that facilitate transit-oriented development (TOD) to shape economically prosperous and environmentally sustainable compact cities.
Caspase-1 modulates chronic restraint stress-induced depression and GABAergic dysfunction via regulating GAD67 in the hippocampus
Authors: Li Mingxing , Sun Xuejiao , Wang Zongqin , Li Yi 
Published: November 2022

Abstract
Major depression disorder (MDD) is a common psychiatric disorder. Both inflammation and GABAergic dysfunction have been implicated in the pathophysiology of MDD. Caspase-1, a classic inflammatory caspase, regulates AMPARs-mediated glutamatergic neurotransmission. However, the role of caspase-1 in chronic stress-induced GABAergic dysfunction remains largely unknown. In this study, we found that serum and hippocampal caspase-1 levels increased significantly in chronic restraint stress (CRS) mice, and a significant negative correlation occurred between levels of caspase-1 and depression-like behaviors. Furthermore, CRS significantly decreased GAD67 mRNA levels and GABAARs-mediated miniature inhibitory postsynaptic currents (mIPSCs) in the hippocampus. Genetic deficiency of caspase-1 not only blocked CRS-induced depression-like behaviors, but also alleviated CRS-induced impairments in GABAergic neurotransmission, including the decreased expression of GAD67 and the amplitude and frequency of mIPSCs. Finally, reexpression of caspase-1 in the hippocampus of Caspase-1-/- mice increased susceptibility to stress-induced anxiety- and depression-like behaviors through inhibiting GAD67 expression and GABAARs-mediated mIPSCs. Our study suggests that CRS dysregulates GABAergic neurotransmission via increasing the levels of caspase-1 in the hippocampus, ultimately leading to depression-like behaviors. This work illustrates that targeting caspase-1 may provide potential therapeutic benefits to stress-related GABAergic dysfunction in the pathogenesis of MDD.
Are the [6]-coordinated sites in tourmaline in certain cases partially vacant?
Authors: Ertl Andreas 
Published: November 2022

Abstract
Tourmaline has two different [6]-coordinated sites, the Y site and the Z site. Vacancies were reported from both sites. Based on high-quality chemical and single-crystal structural data it always needs increasing proportions or short-range order configurations Na(Al2⊏)Al6(BO3)3[Si6O18]V(OH)3W(OH) or Na(Al2⊏)Al6(BO3)3[Si6O18]V(OH)3WF in order to produce Y-site vacancies. Therefore, tourmalines enriched in cations with charge 2+ (Fe2+, Mn2+, Mg) contain only insignificant Y-site vacancies. Only Al-rich tourmalines with >7.0 apfu Altotal that usually contain >0.2 apfu Li may have significant vacancies at the Y site. However, no more than 12% vacancies (0.36 pfu) at the Y site can be observed in such samples. It is proposed to calculate the Li content in such colourless or coloured tourmalines (elbaite, fluor-elbaite, fluor-liddicoatite, rossmanite), if no chemical data for Li is available, for Y = 2.8 apfu or for Y + Z + T = 14.8 apfu, because this calculation should give more accurate results than calculating the Li content as the difference to 3.0 apfu at the Y site. For Fe2+-rich and Mg-bearing tourmalines (schorl-dravite series) with MgO >1.0 wt% the structural formula can still be calculated for Y + Z + T = 15 apfu, because such tourmalines do not appear to contain significant Y-site vacancies. It can further be concluded that the Z site could be only <1% vacant and therefore such vacancies would be insignificant even in Al-rich tourmaline.
Differences of lipid proton compositions and fatty acids between alcoholic fatty liver and high-fat diet fatty liver animal models :9.4T magnetic resonance spectroscopy study
Authors: Cho Yeon-Hyeon , Yu Seung-Man 
Published: November 2022

Abstract
The objective of this study was to determine differences in chemical compositions according to fat deposition in the liver using an alcoholic fatty liver animal model and a high-fat diet induced fatty liver animal model. A mouse model of chronic and binge ethanol feeding (NIAAA model), an alcoholic fatty liver model, was used to induce fatty liver according to the study protocol. The NIAAA control group had 15 mice. The NIAAA experimental group was administered with Lieber DeCarli diet powder. The high-fat diet control group was fed a general diet ad libitum. The high-fat diet fatty liver group was induced with a high-fat (60%) diet. Data were acquired by 9.4T magnetic resonance spectroscopy for each fatty liver animal model. Fatty acids were calculated by quantifying each lipid proton through T2 correction. Difference in lipid proton (LP) for each model was identified with a multivariate statistical method. Mean differences in fatty acids among the four models were compared. The difference in LP composition was insignificant between the high-fat diet control and the experimental group. Orthogonal partial least squares discriminant analysis of the high-fat experimental group and the NIAAA experimental group showed no significant difference in the composition of each LP. However, there was a difference in the value of the composition deposited in the liver between NIAAA control and experimental groups. Comparison of each fatty acid between NIAAA control and experimental groups revealed that poly unsaturated bond was significantly (p = 0.002) higher in the experimental group than in the control group. There were differences in total lipid and polyunsaturated bonds between NIAAA experimental and control groups. Methylene protons were deposited at lower concentrations whereas diallylic protons were deposited at higher concentrations in the NIAAA experimental group than in the control group.
RR-SFVP: Design of arbitration unit based on Round Robin method with Strong Fairness and Variable Priority for NoC Router
Authors: fard Elnaz Shafigh , Jamali Mohammad Ali Jabraeil , Masdari Mohammad , Majidzadeh Kambiz 
Published: November 2022

Abstract
Network on chip (NoC) is one of the communicative structures for multiple cores that has scalability. In designing the NoC micro-router architecture, the arbitration unit is very important due to its significant impact on performance, chip occupation level and NoC power consumption. In this paper, a router arbitration architecture is proposed with a combination of variable priority arbitration and Round Robin. In this architecture, arbitration examines the requests of other channels based on the Round Robin index after requesting the flit to exit the virtual channel in addition to checking the availability of the relevant virtual channel.The simulation results show that the architecture of the RR-SFVP arbitration unit compared to the standard RR method, is 13.7% smaller in area and has 5.7% less power consumption and 53.7% less critical path delay.
Functional-structural decoupling in visual network is associated with cognitive decline in patients with type 2 diabetes mellitus: Evidence from a multimodal MRI analysis
Authors: Ni Min-Hua , Yu Ying , Yang Yang , Li Ze-Yang , Ma Teng , Xie Hao , Li Si-Ning , Dai Pan , Cao Xin-Yu , Cui Yan-Yan , Zhu Jun-Ling , Cui Guang-Bin , Yan Lin-Feng 
Published: November 2022

Abstract
Visual network (VN) related alterations is suggested to be one potential mechanism in type 2 diabetes mellitus (T2DM) associated mild cognitive impairment (MCI) and functional-structural coupling is a useful method to explore cerebral subtle changes. However, it is still unclear about the relationship between functional-structural decoupling in VN evidences derived from functional magnetic resonance imaging and cognitive impairment in T2DM. Thirty T2DM patients without MCI and twenty-nine healthy controls were prospectively enrolled. Visual components (VC) were estimated by independent component analysis (ICA). Degree centrality (DC), amplitude of low frequency fluctuation (ALFF) and fractional anisotropy (FA) were constructed to reflect functional and structural characteristics in these VCs respectively. Functional-structural coupling coefficients were further evaluated using combined FA and DC or ALFF. Partial correlations were performed between neuroimaging indicators and neuropsychological scores and clinical variables. Three VCs were selected using group ICA. Deteriorated DC, ALFF and DC-FA coefficients in VC1 were observed in T2DM group compared with control subjects, while FA and ALFF-FA coefficients in three VCs were no significant differences between two groups. In T2DM group, DC in VC1 positively correlated with 2 subitems of the California Verbal Learning Test, including Trial 4 and Total trial 1–5. The impaired DC-FA coefficients in VC1 markedly affected the Total perseverative responses % of the Wisconsin Card Sorting Test. These findings indicate that DC and DC-FA coefficients in VN may be potential imaging biomarkers for revealing early cognitive deficits of different dimensions in T2DM.
Transmission Electron Microscopy in the Study of Autophagy: Seeing is Not Always Believing
Authors: Martí-Clua Joaquín 
Published: November 2022

Abstract
Autophagy is a catabolic process involved in the maintenance of cellular homeostasis in which macromolecules and cytoplasmic organelles are sequestered within double membrane vesicles named autophagosomes, and delivered to lysosomes for fusion and degradation. There are several methods for monitoring autophagy including transmission electron microscopy (TEM), and the detection of molecules such as the autophagy-related 8vproteins, sequestosome-1 and the microtubule-associated protein 1 light chain 3. The use of these methods has overtaken TEM as the main procedure to study autophagy. Despite this, TEM is still a reliable method to detect autophagic cells due to the high resolution of electron microscopy images, which provide key information on the ultrastructural details of autophagic compartments that are not obtained by any other procedures. However, caution should be taken when electron micrographs of presumably autophagic cells are analyzed, as several diagnostic errors have been reported. It is essential to avoid mistakes when identifying autophagic compartments in order to get the most accurate data. This is especially important when results among laboratories are compared. The goal of this review is to show some mistakes in the identification of autophagic neuroblasts in the rat cerebellar external granular layer after hydroxyurea exposure. It is my hope that the ultrastructural micrographs shown here will be a reference for researchers involved in the study of autophagy.
Loss of function of ADNP by an intragenic inversion: towards an out-of frame start codon mechanism
Authors: Georget Mathieu , Lejeune Elodie , Buratti Julien , Servant Euphrasie , Guern Eric le , Héron Delphine , Keren Boris , Agathe Jean-Madeleine de Sainte 
Published: November 2022

Abstract
ADNP is a well-known gene implicated in intellectual disability and its molecular spectrum consists mainly in loss of function variant in the ADNP last and largest exon. Here, we report the first description of a patient with intellectual disability identified with an intragenic inversion in ADNP. RNAseq experiment showed a splice skipping of the inversed exons. Moreover, in-silico analysis of initiating ATGs in the mutated transcript using contextual Kozak score suggested that several initiating ATGs were likely used to translate poisonous out-of-frame ORFs and would lead to the suppression of any in-frame rescuing translation, thereby causing haploinsufficiency. As constitutive Alu sequences with high homology were identified at both breakpoints in reversed orientation in the reference genome, we hypothesized that Alu-mediated non-allelic-homologous recombination was responsible for this rearrangement. Therefore, as this inversion is not detectable by exome sequencing, this mechanism could be a potential underdiagnosed recurrent mutation in ADNP-related disorders.
Foam mat drying of Indian blackberry (SyzygiumcuminiiL.) fruit pulp: Optimization of process parameters and its powder characteristics
Authors: Sahu Indrajeet , Mohapatra Minati , Panda Manoj Kumar , Nayak Raghabananda , Pal Uma Sankar , Rayaguru Kalpana , Dash S.K. 
Published: November 2022

Abstract
Foam-mat drying of Indian black-berry pulp (Syzygiumcumini L.) was carried out using different foaming aids, to determine the effects of concentration of maltodextrin (MD), soy protein isolate (SPI) and carboxymethylcellulose (CMC) on foaming characteristics e.g. foam expansion (FE), foam stability (FS) and foam density (FD). Optimization of product ingredients were performed using three levels of MD (3.0, 5.0, and 7.0 %), SPI (0.5, 1.0, and 1.5 %) and CMC (0.0, 1.0, and 2.0 %) using Box-Behnken method of response surface design. The optimum solutions of the process parameters were obtained at 5.47% of MD, 1.02% of SPI and 1.06% of CMC with response functions of 93.93% FE, 91.60% FS and 481.71 kg/m3 FD. The optimised foamed jamun pulp was dried using hot air-drying method at temperature of 50, 60 and 70°C. The drying rate and effective moisture diffusivity (8.978×10-11 to 1.246×10-10 m2/s) increased with increase in drying temperature. The powder characteristics of dried jamun pulp including bulk density (0.15 to 0.12), flowability: HR (1.27 to 1.13) and CI (21.28 to 12.26 %), total anthocyanin content (61.06 to 35.63 mg/100g) and total phenolic content (278.49 to 195.78 mg GAE/100g) were reduced as the drying air temperature increased from 50 to 70° C, however water solubility index (58.55 to 74.28 %) and hygroscopicity (12.43 to 14.22 g/100g) of powder increased. The dried powder had a porous microstructure and yield medium brightness to their colour.
Effects of opioids, steroids, benzodiazepines, anticholinergics, and antihistamines on the efficacy of antipsychotics for treating delirium in patients undergoing palliative care
Authors: Sato Junya , Tanaka Rei 
Published: November 2022

Abstract
Purpose
To investigate the effects of opioid, steroid, benzodiazepine, anticholinergic, and antihistamine combinations on the efficacy of antipsychotics used to treat delirium.
Methods
End-of-life palliative care patients with overactive delirium were included. Changes in delirium symptoms were assessed using the Intensive Care Delirium Screening Checklist (ICDSC). Changes in scores before and after antipsychotic use in 97 patients with ICDSC scores of ≥ 4 were retrospectively reviewed from medical records. A mean ICDSC score < 4 for the first 3 days after antipsychotic administration was evaluated as effective. The number of days with a score < 4 during the 3 days was also evaluated as a secondary outcome. The two efficacies were compared with and without opioids, steroids, benzodiazepines, anticholinergics, and concomitant antihistamines.
Results
The concomitant use of benzodiazepines before and after delirium treatment tended to decrease the efficacy rate of antipsychotics (odds ratio, 0.330; 95% CI: 0.089–1.222; p = 0.097). The concomitant use of benzodiazepines also showed a trend toward a lower number of days (%) with a score < 4 (13% vs. 24%, p = 0.061). There was no influence of the concomitant use of opioids, steroids, anticholinergics, or antihistamines observed.
Conclusion
There may be a few disadvantages to the continued use of opioids, steroids, anticholinergics, and antihistamines after commencing delirium treatment with antipsychotics. However, the continuation of benzodiazepine administration after delirium onset should be carefully considered because of their potential negative influence on the efficacy of delirium treatment.
Empirical Mode Decomposition with Multivariable Time Series Feature Learning for QoS Prediction
Authors: Zhao Yuqi , Li Bing , Wang Jian , Chen Xiuqing , Xiong Yiming , Zhang Zhen , Qiao Yu 
Published: November 2022

Abstract
Predicting the quality of service (QoS) for Web services has become an essential topic in services computing. Existing QoS prediction approaches typically treat each QoS record as a basic unit, ignoring that a QoS time series is a hybrid sequence with multiple frequency features. As a result, we propose AE-mLSTM, a hybrid QoS forecasting method that combines the empirical mode decomposition (EMD) model and the multivariable LSTM model, to capture the intrinsic properties of time-series QoS records. In addition, AE-mLSTM employs an attention mechanism for multi-task learning, which can learn the shared representation of different tasks and jointly predict the tasks of QoS and timing direction. Experiments conducted on two real-world datasets demonstrate that our approach outperforms several state-of-the-art QoS prediction methods. It can improve the average RMSE, MAPE, and MAE by 5.05%, 4.68%, and 5.74% for the Web service dataset and by 10.99%, 12.33%, and 10.93% for the IoT service dataset.
Performance analysis of MTC traffic on TCP in 5G wireless network
Authors: Goudru N. G. 
Published: November 2022

Abstract
5G wireless network carry different type of traffic generated by various applications running on the hosts. Some of the traffic carried by 5G broadband network is human-type communication (HTC) and machine-type communication (MTC) along with conventional data traffic due to HTTP, FTP, and video streaming applications. MTC wireless communication is made up of sensors, actuators, and other devices called massive machine-type communication (mMTC), not directly operated by humans. These devices are connecting the base station at any given time that leads to randomness in the traffic flows. Thus, the data traffic generated by MTC devices can be periodic or event-triggered [1]. In this research paper, tried to extend the work proposed in [1] by considering two types of traffic, (i) periodic traffic generated by MTC and (ii) network responsive traffic generated by transmission control protocol (TCP). Traffic management at the base station is made by a RED router. A model based traffic performance analysis has been conducted to study the dynamics of sender window, rtt delay, queue dynamics, probability of packet losses and the effect of MTC load on TCP at the ingress of the router. This helps in understanding the performance of 5G wireless network, tuning the router parameters and in providing guaranteed quality of service (QoS) by optimising the network resources. Graphical and statistical analysis has been presented using Matlab programming.