bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimal prediction of cloud spot instance price utilizing deep learning
Authors: Nezamdoust Seyed Soroush , Pourmina Mohammad Ali , Razzazi Farbod 
Published: July 2022

Abstract
Cloud platforms frequently provide a variety of virtual machine models (VMs) with varying types and capacities, allowing users to select instances that best suit their needs. Cloud providers have devised a system for maximizing the utilization of redundant computing resources, whose costs fluctuate dynamically depending on supply and demand. "Spot pricing" is a common term for this, the user must make a suitable offer that is higher than the spot price to use this instance. Accurate spot price prediction enables users to prepare ahead of time for the bid price and run time to increase the method's reliability. To solve this critical challenge of predicting future pricing, we utilize a consistent and robust deep learning model. When compared to other sophisticated methods, the test results reveal that our proposed method performs better and more accurately.
Has COVID-19 pandemic worsened quality of life of patients with Inflammatory Bowel Disease? A longitudinal disease activity-controlled study
Authors: Rosa Ilenia , Conti Chiara , Zito Luigia , Porcelli Piero 
Published: July 2022

Abstract
Background
The present longitudinal study aimed to investigate the burden of disease activity change on health-related quality of life (HRQOL) of patients with inflammatory bowel disease (IBD) during the two different pandemic waves in 2020 and 2021.
Methods
A sample of 221 IBD patients (recruited during March- May 2020 for T0 and March-May 2021 for T1) was included. The psychological impact of the COVID-19 pandemic (Impact of Event Scale-Revised, IES-R) and HRQOL (Inflammatory Bowel Disease Questionnaire, IBDQ) were assessed.
Results
Post-traumatic COVID-19-related symptoms (IES-R) were not significantly different across the disease activity-related groups. Conversely, IBDQ was consistently higher in patients with persistent quiescent disease activity compared to the other groups, as expected. Even after controlling for baseline IES-R, repeated-measures ANCOVA showed a non-significant main effect of time (p = .60) but a significant time-per-group interaction effect with a moderate effect size (η2 = .08).
Conclusions
During the two different phases of pandemic restrictions, IBD-specific HRQOL was modified by disease-related factors such as disease activity, rather than by the post-traumatic symptoms of COVID-19. This lends further weight to the need of developing an evidence-based, integrated, biopsychosocial model of care for patients with IBD to identify subjective and objective factors that affect the burden of disease.
Interest Pressures and Carbon Taxation: Evidence from Vietnam
Authors: Vrolijk Kasper 
Published: July 2022

Abstract
Many economies implement carbon taxation to reduce emissions, but some groups may influence government to change policy in their favor. How influential are these interest pressures? This paper proposes a new methodology to measure interest pressures, merging insights from preference, expenditure, lobbying cost, and corruption data with newly collected data on public and private pressures from Vietnam. I show that interest pressures can largely account for observed changes in carbon taxation and that government adopted inefficient carbon taxation as a result of those pressures. The findings highlight the necessity for efficient representative institutions, which allows firms (through associations) and households (residential groups) to lobby government and receive information about the policy. Results also submit that absent lobbying regulation, firms and other interest groups resort to informal linkages to influence government, suggesting the essence of improving regulation to promote transparency and equity in lobbying among interest groups. Lastly, results suggest that policy inter-dependencies matter and that governments may implement carbon taxation inefficiently if it cannot sufficiently address economic constraints resulting from other policies.
The role of temperature in reproductivity trade-offs and life span in a winter-adaptive arthropod
Authors: Feng Lichao , Du Zhiqi , Chen Ting-Wen , Wu Donghui , Zhang Bing 
Published: July 2022

Abstract
Temperature plays a key role in the development and population maintenance of arthropods, especially for those living in cold environments. In the temperate zone, one of the most common soil-dwelling arthropods is Collembola. Instead of tracking warm and thermal temperature ranges, some Collembola species are psychrotrophic, i.e., they are well-adapted to lower temperatures. We investigated Desoria ruseki (Isotomidae), a Collembola species widely distributed in high latitudes in the Palearctic and adapted to winter, to determine the crucial temperature conditions for the sustainability of field populations of this winter-adaptive arthropod. We incubated the adult individuals of the species at six temperatures ranging from − 5°C to 30°C for 98 days. We found that 0°C and 5°C, corresponding to the temperatures when the species is active in the field between late autumn (November) and early spring (April), were the best temperatures for the survival of the lab individuals. However, they died out quickly at temperatures above 20°C without laying eggs. In contrast, the species could lay eggs between 0℃ and 15℃: the higher the temperature was, the earlier they laid eggs. In addition, longer periods were needed for juveniles to hatch from eggs at lower temperatures. Our study indicates that, rather than colder conditions, hotter environments are likely to be more detrimental to the winter-adaptive Collembola species, thereby suggesting major threats to biodiversity at high latitudes under the current global warming regimes.
Transcriptomic analysis of pepper roots (Capsicum annuum) under phosphorus deficiency
Authors: Salazar-Gutiérrez Daizha , Villicaña-Torres María Claudia , Mendívil Abraham Cruz , Heredia José Basilio , Lightbourn-Rojas Luis Alberto , León-Félix Josefina 
Published: July 2022

Abstract
Background: Phosphorus (P) is an important nutritional element needed by plants. Roots obtain P as inorganic phosphate (Pi), mostly in H2PO-4 form. It is vital to plants a sufficient supply of Pi since it participates in important processes like photosynthesis, energy transfer, protein activation, amongst others. The physicochemical properties and the adsorption of Pi to organic material usually makes the bioavailability in soil low causing that crops and undomesticated plants experience variations in accessibility or even a persistent phosphate limitation. There is little information on the influence of Pi availability in an important economic crop such as pepper. Methods and results: In this study, transcriptome data from pepper roots under low-Pi stress was analyzed in order to identify Pi starvation-responsive genes and their relationship with metabolic pathways and functions. An overall of 62 differentially expressed genes (DEGs) were identified; gene ontology analysis showed DEGs classification into 48 functional categories demonstrating the diversity of genes responding to the stress. The most relevant down regulated DEGs were related to rhythmic process, catalytic activity, and cellular anatomical entity; whereas the up-regulated DEGs were associated to cellular process, biological regulation, metabolic process and response to stimulus categories. KEGG enrichment revealed that metabolic pathways such as porphyrin and chlorophyll metabolism was down-regulated, and galactose metabolism and fatty acid metabolism were up-regulated. Conclusion: Present results indicate that bell pepper follows diverse processes related to low Pi tolerance regulation, such as remobilization of internal Pi, alternative metabolic pathways to generate energy and regulators of root development.
Diabetes-associated cognitive decline in mice with genetic predisposition to Alzheimer's disease, not in wild type
Authors: Carús-Cadavieco Marta , López Inés Berenguer , Canelo Alba Montoro , Serrano-Lope Miguel , Fuente Sandra González de la , Rodrigo Alba Fernández , Saido Takaomi , García Ana Frank , Venero Cesar , Esteban José , Guix Francesc , Dotti Carlos 
Published: July 2022

Abstract
A significant number of individuals with type 2 diabetes (T2DM) develop cognitive deficits over time that in some cases could lead to dementia. It remains to be identified the diabetes-related factors or comorbid conditions that drive the association and how they work. In this manuscript, we show that 14-15 month-old hAPP NL/F mice, a knock‐in mouse model of preclinical Alzheimer’s disease (AD) (that is, they generate Aβ42 at an early age but do not show symptoms of the disease until they are old), but not wild type, develop behavioural deficits that correlate with electrophysiological and dendritic spine changes when affected by T2DM. The deficits are not paralleled by higher levels of toxic forms of amyloid beta-peptide (Aβ﻿) or by neuroinflammation but by a reduction in γ﻿-secretase activity, in turn accountable, among other consequences, for a reduction in the levels of the synaptogenesis regulator protein PSD95, and by increased phosphorylation of Tau at epitopes of dendritic spine targeting. RNAseq analysis of the cerebral cortex of wild type and hAPP NL/F, with and without T2DM, revealed the significant downregulation of hypoxia inducible factor 3 (HIF-3α) in the hAPP NL/F diabetic mice only, a decrease that was also observed at the protein level. The main conclusion of this work is that T2DM will trigger or accelerate cognitive illness fundamentally in those individuals who already have a genetic predisposition to AD. A second conclusion is that the cognitive disorders produced by diabetes in these individuals are not due to the excess of toxic forms of Aβ but to other causes, including loss of function of γ﻿-secretase. The third conclusion is that an alteration of the response to hypoxia through Hif3α would be mediating the negative effects of T2DM in the brain.
Successful treatment of psoriasis with secukinumab constructed a new homeostasis of gut microbiome
Authors: Du Xueshan , Yan Cong , Kong Shuzhen , Che Delu , Peng Bin , Zhu Longfei , Geng Songmei , Guo Gun 
Published: July 2022

Abstract
Background: Secukinumab (an interleukin (IL)-17 inhibitor) has been reported to be able to alter gut microbiome composition in psoriatic patients. However, it still remains unclear the gut microbiota alteration and related functional changes caused by successful secukinumab therapy in psoriatic patients. In this study, fecal samples from healthy people as comtrol (H; n=35), psoriatic patients without therapy (BT; n=32) and patients after 5-month successful secukinumab treatment (AT; n=11) were collected., Then gut microbiomes were investigated using next-generation sequencing targeting 16S ribosomal RNA. Results: Successful secukinumab therapy caused a significantly elevated microbiota richness and biodiversity, as well as an alteration in the gut microbiota composition than psoriasis without therapy and healthy control. The psoriatic patients after secukinumab successful therapy showed a microbiota profile characterized by increased proportions of the phylum Firmicute, families Comamonadaceae and Erwiniaceae, and a reduction in the phylum Bacteroidota, compared to the other two groups. Besides, we discovered that secukinumab treatment group exhibited more significant abundance in contains mobile elements phenotype, form biofilms phenotype, gram positive phenotype, and less abundance in gram negative phenotype and potentially pathogenic phenotype by BugBase. Functional analysis showed the different COG pathways and KEGG pathways such as downregulated cardiovascular diseases pathway and upregulated infectious diseases between secukinumab therapy group and the other two groups.Conclusions: Secukinumab therapy enhanced the diversity of gut microbiota and altered the composition of the gut microbiome, which actually may construct a more stable homeostasis of gut microbiome with less potentially pathogenicity.
WITHDRAWN: Stability mechanisms of hydrocarbon flames in small spaces
Authors: Chen Junjie 
Published: July 2022

Abstract
Hydrocarbon flames are typically quenched when confined within small spaces. Computations are conducted and experiments are performed to understand the stability mechanisms of hydrocarbon flames in small spaces. The effects of different factors on flame stability are investigated. The factors affecting combustion characteristics are determined for hydrocarbon flames in small spaces. The results indicate that the axial conduction within the wall has a major effect on the operating limits of the small-scale combustion system. Even a small wall thermal conductivity results in significantly higher required flow rates to maintain stabilized combustion, whereas when the axial wall conduction is ignored, the minimum required flow rate disappears. There exists a narrow range of flow velocities that allow stabilized combustion in millimeter-scale combustion systems. The flow rate has a strong effect on flame stability. Fast flows decrease the rate of heat transfer upstream and can cause blowout. Slow flows can also cause loss of flame stability by making conductive heat transfer so dominant that the reaction zone is spread, and the external heat losses become too large compared to heat generation to sustain combustion. An optimum flow velocity for greatest flame stability exists. Millimeter-scale combustion systems with small plate-separation distances suffer from axial heat transfer through the walls, reducing the maximum fluid temperature and flame stability. Millimeter-scale combustion systems with large gaps slowly transport heat axially to preheat the feed, resulting in a late flame ignition and possible blowout. Combustion in small spaces can offer advantages. Aside from the larger radial heat transfers, faster ignition can happen, and low temperatures could be envisioned that could be beneficial for nitrogen oxides reduction. However, loss of flame stability due to blowout or extinction and high wall temperatures are main issues that require careful thermal management.
Antibiotic Prescribing Patterns in adult patients according to the WHO AWaRe Classification: A multi-facility cross-sectional study in primary healthcare hospitals in Zambia
Authors: Mudenda Steward , Chomba Mary , Chabalenge Billy , Hikaambo Christabel Nang’andu , Banda Michelo , Daka Victor , Zulu Annie , Matafwali Scott 
Published: July 2022

Abstract
Introduction: Indiscriminate prescribing and using of antibiotics has led to the development of antimicrobial resistance (AMR). To reduce this problem, the World Health Organization (WHO) developed the ‘Access’, ‘Watch’, and ‘Reserve’ (AWaRe) classification of antibiotics that promotes antimicrobial stewardship (AMS). In Zambia, there are gaps in practice regarding prescribing antibiotics based on the AWaRe protocol. This study assessed antibiotic prescribing patterns in adult in-patients in selected primary healthcare hospitals in Lusaka, Zambia. Materials and Methods: This retrospective cross-sectional study was conducted using 388 patient medical files from September 2021 to November 2021 five general hospitals namely; Chawama, Matero, Chilenje, Kanyama, and Chipata. Data analysis was performed using the Statistical Package for Social Sciences version 23. Results: Of the selected medical files, 52.3% (n = 203) were for male patients. Overall, the prevalence of antibiotic use was 82.5% (n = 320)which was higher than the WHO recommendation of a less than 30% threshold. The most prescribed antibiotic was ceftriaxone (20.3%), a Watch group antibiotic, followed by metronidazole (17.8%) and sulfamethoxazole/trimethoprim (16.3%), both belonging to the Access group. Furthermore, of the total antibiotics prescribed, 41.9% were prescribed without adhering to the standard treatment guidelines. Conclusion: This study found a high prescription of antibiotics (82.5%) that can be linked to non-adherence to the standard treatment guidelines in primary healthcare hospitals. The most prescribed antibiotic was ceftriaxone which belongs to the Watch group, raising a lot of concern. There is a need for rational prescribing of antibiotics and implementation of AMS programs in healthcare facilities in Zambia, and this may promote surveillance of irrational prescribing and help reduce AMR in the future.
WITHDRAWN: Mechanism of process intensification by microchannel reactors
Authors: Chen Junjie 
Published: July 2022

Abstract
The unique advantages of microchannel reactors are enhanced heat transfer due to the large surface area-to-volume ratio, and enhanced mass transfer. The good heat transfer properties allow a precise temperature control of reactions. However, the mechanisms for the effects of design factors on heat transfer characteristics are still not fully understood. This study relates to a thermochemical process for producing hydrogen by the catalytic endothermic reaction of methanol with steam in a thermally integrated microchannel reforming reactor. Computational fluid dynamics simulations are conducted to better understand the consumption, generation, and exchange of thermal energy between endothermic and exothermic processes in the reactor. The effects of wall heat conduction properties on heat transfer characteristics and reactor performance are investigated. The results indicate that the yields and selectivity can be improved by using microchannel process technology at more extreme parameters. Process intensification may be achieved using microchannel process technology where chemical processors are employed that are characterized by parallel arrays of microchannels. Processes are intensified using microchannel process technology by decreasing transfer resistance between process fluids and channel walls. Process intensification allows for use of more active catalysts than conventional processes, greatly increasing the throughput per unit volume. As a result of process intensification, overall system volumes can be reduced by about ten to one hundred-fold or more when compared to conventional hardware.
Guided Bone Regeneration Prior to Implant Therapy in the Esthetic Zone: A Case Report
Authors: Sulijaya Benso , Koerniadi Felix Hartono 
Published: July 2022

Background:Implant placement on the anterior maxilla requires a comprehensive concern of adequate alveolar bone and gingival biotype. Insufficient support for hard and soft tissues becomes one of the main causes of implant complications. To avoid this problem, pre-surgical treatment with Guided Bone Regeneration (GBR) is suggested with respect to the alveolar ridge defect.Objective:In this study, we reported the predictability of a sandwich technique of GBR prior to implant placement.Case Presentation:Case: Thirty-four-year-old male was referred with a chief complaint of missing teeth on area #21 accompanied by labial bone dehiscence due to trauma. Bone thickness measurement displayed was approximately 3/4/5 mm (coronal/middle third/apical third of the alveolar ridge). This case was diagnosed as soft and hard tissue deformity on area #21 prior to implant. Case management: GBR and implant placement were performed in two stages of surgery. GBR was executed by using a combination of Biphasic Calcium Phosphate (BCP) (consisting of 40% Beta-Tri Calcium Phosphate (β-TCP) and 60% Hydroxyapatite (HA)) and Demineralized Freeze-Dried Bone Allografts (DFDBA) bone graft materials. Alveolar ridge re-measurement five months after GBR showed significant bone augmentation, 6/6/6 mm (coronal/middle third/apical third of the alveolar ridge). Furthermore, a 3.5 mm (diameter) x 10 mm (length) bone-level implant was inserted accordingly. The two-year follow-up exhibited gingival stability and no sign of either recession or bone resorption.Conclusion:Herein, we demonstrated the effectiveness of BCP and DFDBA bone substitutes to obtain proper conditions for the long-termed stability and predictability of implant.
Physico-Chemical Characterization of Green Synthesized Nanomaterials
by UV-Visible Spectroscopy
Authors: Singh Laxman , Kumar Amar , Meenakshi  , Saxena Nisha , Seema Kumari , Srivastava Anshuman , Rajak Jitendra , Singh Darshan , Singh Satya Vir 
Published: July 2022

Abstract:
Nanomaterials (NMs) particularly synthesized by green routes have attracted researchers
and scientists for their multifunctional industrial applications. NMs have not only revolutionized research, but also our daily life because of numerous applications in medical diagnostics, consumer
products, and energy-related applications. Their unique properties are directly related to chemical
composition, structure, size and shape. There are several characterization techniques used to determine
the size, composition, crystalline structure and other physical properties of NMs. Prominent among
them are spectroscopic techniques such as UV-Visible, FTIR, EDX; diffraction techniques such as
XRD, SAED; microscopic techniques such as SEM, TEM, AFM and others such as Zeta potential
measurements. Every technique has its own merit and demerit. This mini review describes the uses of
UV-Vis spectroscopy in characterization of NMs.
Digital Biomarkers for Well-being Through Exergame Interactions: Exploratory Study
Authors: Petsani Despoina , Konstantinidis Evdokimos , Katsouli Aikaterini-Marina , Zilidou Vasiliki , Dias Sofia B , Hadjileontiadis Leontios , Bamidis Panagiotis 
Published: July 2022

Background
Ecologically valid evaluations of patient states or well-being by means of new technologies is a key issue in contemporary research in health and well-being of the aging population. The in-game metrics generated from the interaction of users with serious games (SG) can potentially be used to predict or characterize a user’s state of health and well-being. There is currently an increasing body of research that investigates the use of measures of interaction with games as digital biomarkers for health and well-being.

Objective
The aim of this paper is to predict well-being digital biomarkers from data collected during interactions with SG, using the values of standard clinical assessment tests as ground truth.

Methods
The data set was gathered during the interaction with patients with Parkinson disease with the webFitForAll exergame platform, an SG engine designed to promote physical activity among older adults, patients, and vulnerable populations. The collected data, referred to as in-game metrics, represent the body movements captured by a 3D sensor camera and translated into game analytics. Standard clinical tests gathered before and after the long-term interaction with exergames (preintervention test vs postintervention test) were used to provide user baselines.

Results
Our results showed that in-game metrics can effectively categorize participants into groups of different cognitive and physical states. Different in-game metrics have higher descriptive values for specific tests and can be used to predict the value range for these tests.

Conclusions
Our results provide encouraging evidence for the value of in-game metrics as digital biomarkers and can boost the analysis of improving in-game metrics to obtain more detailed results.