bluuebunny/crossref_metadata_2025_split huggingface dataset:
Securing Health Care Data through Blockchain enabled Collaborative Machine Learning
Authors: Kumar Om , G Sudhakaran , V Balaji , A Nhaveen , S Sai Balakrishnan 
Published: November 2022

Abstract
Transferring of data in machine learning from one party to another party is one of the issues that has been in existence since the development of technology. Health care data collection using machine learning techniques can lead to privacy issues which cause disturbances among the parties and reduces the possibility to work with either of the parties. Since centralized way of information transfer between two parties can be limited and risky as they are connected using machine learning, this factor motivated us to use the decentralized way where there is no connection but model transfer between both parties will be in process through a federated way. The purpose of this research is to investigate a model transfer between a user and the client(s) in an organization using federated learning techniques and reward the client(s) for their efforts with tokens accordingly using blockchain technology. In this research the user shares a model to organizations that are willing to volunteer their service to provide help to the user. The model is trained and transferred among the user and the clients in the organizations in a privacy preserving way. In this research we found that the process of model transfer between user and the volunteered organizations works completely fine with the help of federated learning techniques and the client(s) is/are rewarded with tokens for their efforts. We used the Covid 19 dataset to test the federation process, which yielded individual results of 88 percent for contributor a, 85 percent for contributor b, and 74 percent for contributor c. When using the FedAvg algorithm, we were able to achieve a total accuracy of 82 percent.
Amniotic membrane application in surgical treatment of conjunctival tumors
Authors: Furdova Alena , Czanner Gabriela , Koller Jan , Vesely Pavol , Furda Robert , Pridavkova Zuzana 
Published: November 2022

Abstract
The amniotic membrane (AM) has special properties, making it ideal for clinical applications in various surgical fields like ophthalmology. It is used more frequently to cover conjunctival and corneal defects. In our retrospective study we have been combined 68 patients with epibulbar conjunctival tumors they have been surgically treated in the period of 2011-2021. Seven (10.3%) patients have been treated with AM application after surgical removal of the tumor. 54 cases were malignant and 14 cases were benign. In the analyzed dataset the males had just slightly higher chance of malignancy than females, 80% versus 78.3%. For the significancy calculation the Fisher exact test was used and the result proved no significancy (p=0.99). Six patients with AM application were malignant. The observed difference in the number of quadrants of the bulbar conjunctiva infiltrated versus significant malignancy with p=0.050 calculated by Fisher Exact test and with p=0.023 calculated by Likelihood-ratio test. The results of our study indicate that AM grafts are an effective alternative to cover defects after removal of epibulbar lesions due to their anti-inflammatory properties because the conjunctiva must be preserved, and especially the most important application is in malignant epibulbar conjunctival tumors.
Dry Drilling Performance Enhancement using Optimized Diamond-Like Carbon Coatings
Authors: Messele Eyob , Jatti Vijaykumar S , Jatti Ashwini V. , Mishra Akshansh , Dhabale Rahul 
Published: November 2022

Abstract
This study demonstrates the performance enhancement of drill bits during dry cutting operation of LM6 aluminum alloy and bright mild steel using optimized Diamond-Like-Carbon (DLC) coatings. DLC coatings are deposited using Plasma Enhanced Chemical Vapour Deposition (PECVD) process by varying the process parameters, bias voltage, bias frequency, gas mixture, and working pressure. DLC coatings were grown over the silicon, high-speed steel, and stainless-steel pin substrate. Coating’s chemical, composition, topography, and mechanical properties measurements were checked using Fourier Transform Infrared (FTIR), micro-Raman spectroscopy, Atomic Force Microscopy, and intrinsic stress & nano-hardness/micro-hardness tester, respectively. Coating deposition and optimization were carried out as per the Taguchi method. Further, the optimized DLC coatings tribological test and the effect of DLC coating on the tool life were performed. Results showed that the DLC-coated substrate had less wear loss and coefficient of friction than the uncoated substrate. The dry-cutting test showed that coated drill bits produce a better surface finish and consume less power in the drilling operation than uncoated drill bits. This is due to the low coefficient of friction and low wear loss of the DLC coatings.
Accurate rare variant phasing of whole-genome and whole-exome sequencing data in the UK Biobank
Authors: Delaneau Olivier , Hofmeister Robin , Ribeiro Diogo M. , Rubinacci Simone 
Published: November 2022

Abstract
The UK Biobank performed whole-genome sequencing (WGS) and whole-exome sequencing (WES) across hundreds of thousands of individuals, allowing researchers to study the effects of both common and rare variants. Haplotype phasing distinguishes the two inherited copies of each chromosome into haplotypes and unlocks novel analyses at the haplotype level. In this work, we describe a new phasing method, SHAPEIT5, that accurately and rapidly phases large sequencing datasets and illustrates its key features on the UK Biobank WGS and WES data. First, we show that it phases rare variants with high accuracy. For instance, variants found in 1 sample out of 100,000 in the WES data are phased with accuracy above 95%. Second, we show that it can phase singletons, although with moderate accuracy, thereby making their inclusion in downstream analyses possible. Third, we show that the use of UK Biobank as a reference panel increases the accuracy of genotype imputation, an increase that is more pronounced when phased with SHAPEIT5 compared to other methods. Finally, we screen the phased WES data for loss-of-functon(LoF) compound heterozygous (CH) events and identify 549 genes in which both gene copies are found knocked out. This list of genes complements current knowledge of gene essentiality in the human genome. We provide SHAPEIT5 in an open-source format, providing researchers with the means to leverage haplotype information in genetic studies.
A Novel Approach for Comparative Analysis of Distributed Generations and Electric Vehicles in Distribution Systems
Authors: Singh Bindeshwar , Dubey Pankaj Kumar , Kumar Varun 
Published: November 2022

Abstract
Electric vehicles were introduced to the market as a way to reduce dependency on internal combustion engine-driven transportation systems. However, this method increased the burden on the current electrical grid rather than reducing it. In the power grid, distributed generation ideas are presented to reduce this burden. This research shows how to combine hybrid optimization algorithms for optimum location and sizing of different sorts of Distributed Generation (DGs) with Electric Vehicle (EV) scheduling in distribution systems using static and ZIP load models to reduce the system's total real power loss. For assessment, many types of DGs and EVs are evaluated. For DGs with EVs scheduling in the distribution system, multiple static and ZIP load models are examined. Real power loss mitigation is achieved via hybrid optimization strategies that include Genetic algorithms and Monte Carlo simulation methodologies. The suggested approach's practicality was tested using a 16-bus distribution test system. At both static and ZIP load models, the more effective kinds of DGs with EVs couples are DG2 with Fuel cell electric vehicles.
Design of an energy management system for microgrids applied to an isolated system incorporating solar thermal energies
Authors: Ampuño Gary , Sosa Bryan 
Published: November 2022

Abstract
This chapter presents an hourly energy management system (EMS). The hybrid renewable energy system (HRES) is composed of a hybrid ae-generator system (WT), solar photovoltaic (PV) panels, a diesel generator (DG) and a distributed collector system (DCS) as the primary energy source. The distributed collector system (DCS) consists of a field of parabolic trough collectors that carry solar thermal energy to a power conversion unit to produce electricity, an energy storage system (ESS), the wind turbine, the PV panels and the distributed control system (DCS) are made to work at the maximum power point, while the battery acts as storage. The energy management system (EMS) uses intelligent rule-based controllers to meet the energy demanded by the load and maintain the state of charge (SOC) of the battery between certain target ranges. The controller implemented for this study is a fuzzy logic controller that mimics human understanding of various phenomena that may occur during microgrid operation.
The simulation results show that the fuzzy logic-based control meets the objectives established for the energy management system (EMS) of the hybrid renewable energy system (HRES).
TAGLN2 promotes the proliferation, migration, invasion and EMT of renal clear cell carcinoma through PI3K/Akt signaling pathway
Authors: He Yang , Zhang Bin , Han Dali , Du Yuelin , Zhang Xingxing , Wang Hongbo , Yue Zhongjin , Shang Panfeng 
Published: November 2022

Abstract
The effect of TAGLN2 in clear cell renal cell carcinoma (ccRCC) is till unknown. This paper explored its potential role and mechanism in ccRCC. The expression of TAGLN2 in Pan-cancers was analyzed through the Genotype-Tissue Expression (GTEx) database and The Cancer Genome Atlas (TCGA) database. TCGA-KIRC database were used to analyze the subsequent prognostic survival, pathway enrichment and immune infiltration. Relevant experimental methods could explain the effect of TAGLN2 expression on tumor cell proliferation, migration, invasion and apoptosis. Apoptosis, proliferation, EMT and PI3K/AKT signaling pathway related proteins expression can be realized through Western Blot. In TCGA + GTEx database, mRNA-TAGLN2 expression was obviously increased in pan-cancer tissues, and the same result was found in ccRCC patients, based on KIRC analysis results. In addition, TAGLN2 was related to poor clinical stage, pathological grade and survival prognosis. In vitro, TAGLN2 can be highly expressed in ccRCC tissues and cells. TAGLN2 silencing could inhibit the proliferation, migration and invasion and EMT in ccRCC cancer cells. Furthermore, TAGLN2 related differential genes enriched in PI3K/AKT signaling pathway were negatively regulated after TAGLN2 silencing. Moreover, TAGLN2 may promote tumor immune escape and increase the risk of distant metastasis in immune infiltration-related analysis. TAGLN2 can be used as a single indicator to explain the survival probability of ccRCC patients. In vitro, TAGLN2 silencing inhibited malignant biological properties of ccRCC by blocking PI3K/AKT signaling pathway. In addition, TAGLN2 contributes to the development of tumor immune escape and may become the potential therapeutic target of ccRCC.
Intentional non-adherence to official medical recommendations: An irrational choice or negative experience with the healthcare system?
Authors: Purić Danka , Petrović Marija B. , Živanović Marko , Lukić Petar , Zupan Zorana , Branković Marija , Ninković Milica , Lazarević Ljiljana , Stanković Sanda , Žeželj Iris 
Published: November 2022

Abstract
Background: The World Health Organization recognizes non-adherence to treatment recommendations as a growing global problem. Questionnaires typically focus on only one non-adhering behavior, e.g., medication-taking, and target people with specific health conditions. In this preregistered study, we aimed to (1) develop a novel instrument suitable to the general population, consisting of non-adherence to prescribed therapy, self-medication, and avoidance to seek medical treatment, capturing intentional non-adherence (iNAR), (2) differentiate it from habitual non-adherence, such as smoking, and (3) relate iNAR to patient-related factors, such as sociodemographics, health status, and endorsement of irrational beliefs (conspiratorial thinking and superstitions), and to a set of healthcare-related beliefs and experiences.
Methods: First, medical doctors provided a list of non-adherence behaviors in a focus group. To this list we added behaviors that fitted our definition of intentional non-adherence, identified in a thorough literature search. This initial list of 22 behaviors was further refined by a public health expert. The instrument was then tested on a sample of 583 participants, sufficiently powered to detect effects for all preregistered statistical analysis. Participants were recruited using an online snowballing procedure and via social networks.
Results: Factor analysis yielded a one-factor solution, and the final 12-item iNAR questionnaire had satisfactory internal reliability (Cronbach’s alpha = .72). A hierarchical linear regression showed that, as expected, health condition variables and healthcare-related beliefs and experiences accounted for 14% of the variance of iNAR behaviors, whereas sociodemographics and irrational beliefs did not additionally contribute. In comparison, the same regression model with smoking (representative of habitual non-adherence) as a criterion variable, accounted for less than 3% of the variance, with education as the only significant predictor.
Conclusions: We have constructed a brief, comprehensive, and reliable measure of iNAR behaviors. Normalization of patients’ passivity and, in particular, negative experiences with the healthcare system contributed to intentional, but not habitual non-adherence. We believe that public health interventions designed to discourage intentional non-adherence should foremost attempt to improve all patients' experiences with the system and build trust with their healthcare practitioners rather than aim at specific demographic groups or at correcting patients' unfounded beliefs.
Periodic orbits in chaotic systems simulated at low precision
Authors: Klöwer Milan , Coveney Peter V. , Paxton E. Adam , Palmer Tim N. 
Published: November 2022

Abstract
Non-periodic solutions are an essential property of chaotic dynamical systems. Simulations with deterministic finite-precision numbers, however, always yield orbits that are eventually periodic. With double-precision 64-bit floating-point numbers such periodic orbits are typically negligible due to very long periods. The emerging trend to accelerate simulations with low-precision numbers, such as 16-bit half-precision floats, raises questions on the fidelity of such simulations of chaotic systems. Here, we revisit the 1-variable chaotic generalised Bernoulli map with various number formats and precisions: floats, posits and logarithmic fixed-point. Simulations are improved with higher precision but stochastic rounding prevents periodic orbits even at low precision. For larger systems the performance gain from low-precision simulations is often reinvested in higher resolution or complexity, increasing the number of variables. In the Lorenz 1996 system, the period lengths of orbits increase exponentially with the number of variables. Moreover, invariant measures are better approximated with an increased number of variables than with increased precision. Extrapolating to large simulations of natural systems, such as million-variable climate models, periodic orbit lengths are far beyond reach of present-day computers. Such orbits are therefore not expected to be problematic compared to high-precision simulations but the deviation of both from the continuum solution remains unclear.
Improved Psychosocial Measures Associated with Physical Activity May Be Explained by Alterations in Brain-Gut Microbiome Signatures
Authors: Guan Michelle , Dong Tien S. , Subramanyam Vishvak , Guo Yiming , Bhatt Ravi , Vaughan Allison , Barry Robert L. , Gupta Arpana 
Published: November 2022

Abstract
Obesity contributes to physical comorbidities and mental health consequences. We explored whether physical activity could influence more than metabolic regulation and result in psychological benefits through the brain-gut microbiome (BGM) system in a population with high BMI. Fecal samples were obtained for 16s rRNA profiling and fecal metabolomics, along with psychological and physical activity questionnaires. Whole brain resting-state functional MRI was acquired, and brain connectivity metrics were calculated. Higher physical activity was significantly associated with increased connectivity in inhibitory appetite control brain regions, while lower physical activity was associated with increased emotional regulation network connections. Higher physical activity was also associated with microbiome and metabolite signatures protective towards mental health and metabolic derangements. The greater resilience and coping, and lower levels of food addiction seen with higher physical activity, may be explained by BGM system differences. These novel findings provide an emphasis on the psychological and resilience benefits of physical activity, beyond metabolic regulation and these influences seem to be related to BGM interactions.
Multi-component chitosan, cyclodextrin nanosponge and H 3 PMo 12 O 40 @MIL-101(Fe) beads: an efficient heterogeneous catalyst for alcohol oxidation and cascade alcohol oxidation-Knoevenagel condensation reaction
Authors: Sadjadi Samahe , Abedian-Dehaghani Neda , Heydari Abolfazl , Heravi Majid M. 
Published: November 2022

Abstract

Development of multi-task catalysts is a promising approach to enhance the catalytic performance toward a wide range of reactions. The subject of this study is to design a multi-component catalyst based on the metal-organic framework encapsulated phosphomolybdic acid, which is incorporated in dual chitosan-cyclodextrin nanosponge beads. We showed that the synthesized multi-functional catalyst provided a multiple-benefit potential of individual components for promoting alcohol oxidation and cascade alcohol oxidation–Knoevenagel condensation reaction in aqueous media. The phosphomolybdic acid that benefits from acidic features and redox potential could catalyze both alcohol oxidation and Knoevenagel condensation. The amino groups on the chitosan could also serve as basic catalysts, while cyclodextrin nanosponge mainly acted as a phase transfer agent. Importantly, the incorporation of phosphomolybdic acid in metal-organic framework and bead structure could suppress its leaching, which is considered a drawback for this compound. It is noticeable that the catalyst could be recycled with slight phosphomolybdic acid leaching and loss of the catalytic activity. Additionally, the true heterogeneous nature of the catalysis was confirmed by the hot filtration test. Our finding highlights the high catalytic activity of the multi-component heterogeneous catalyst as well as the broad substrate scope for both selected reactions.
Theoretical and experimental study of the “superelastic collision effects” used to excite high-g shock environment
Authors: Duan Zhengyong , Zeng Qihang , Tang Dayong , Peng Yingchun 
Published: November 2022

Abstract
The excitation technology for high-g-level shock environment experiments is currently a topic of interest, for which velocity amplification by collisions of vertically stacked bodies has been used to develop high-g shock tests with great success. This study investigated the superelastic collision effects generated during high-velocity one-dimensional three-body impacts. Theoretical formulae were derived in brief for an analytical investigation of the collisions. Four experiments were performed with different initial velocities obtained from free-falls from different heights. Velocity gains larger than 5 were obtained for the three-body collisions, and coefficients of restitution larger than 2.5 were observed for the second impact. The experimental results well verified the existence of superelastic collision effects in the one-dimensional three-body impacts.
Collateral Circulation Develops in Stenosis of the Celiac Trunk, and Superior Mesenteric Artery
Authors: Salim Hande , Ozgur Ozhan , Erman Kursat , Ozturk Serra , Dogan Merve Sarikaya , Sindel Timur , Sindel Muzaffer 
Published: November 2022

Abstract
Purpose
Mesenteric circulation is provided by the celiac artery (CA), superior mesenteric artery (SMA), and inferior mesenteric artery (IMA). The collateral circulation between CA and SMA and between SMA and IMA plays a protective role against intestinal ischemia in case of narrowing or occlusion of the mesenteric vessels. In our study, it is aimed to determine the CA and SMA stenosis rates in patients with CA and SMA stenosis from angiography images, the occurrence of the collateral variations, and the frequency of these variations.
Methods
A total of 408 nonselective or selective CA and SMA angiographic images were taken of 215 patients (130 males, 85 females) who were admitted to Akdeniz University Hospital with symptoms of chronic mesenteric ischemia (CMI) were included. Angiography images were analyzed in regards to CA and SMA stenosis rates, and the collateral variations between mesenteric vessels.
Results
Stenosis of CA was observed in 14 patients whereas the stenosis of the SMA was observed in 12 patients. The most common collateral vessel in these patients was the gastroduodenal artery. Both stenoses of CA and SMA were found in 9 patients. The Rioalan arch was the most common type of collateral vessel in these patients.
Conclusion
It was observed that mesenteric circulation was mainly provided by gastroduodenal in patients with isolated CA or SMA stenosis or occlusion while in patients with stenosis or occlusion of both CA and SMA, mesenteric circulation was mainly provided by the Riolan arc. A significant increase was observed in the prominence of collateral vessels in patients with stenosis of more than 70%.
Assessing the value of integrating national longitudinal shopping data into respiratory disease forecasting models
Authors: Dolan Elizabeth , Goulding James , Marshall Harry , Smith Gavin , Long Gavin , Tata Laila 
Published: November 2022

Abstract
The COVID-19 pandemic led to unparalleled pressure on healthcare services. Improved health-care planning in relation to diseases affecting the respiratory system has consequently become a key concern. We investigated the value of integrating sales of non-prescription medications commonly bought for managing respiratory symptoms, to improve forecasting of weekly registered deaths from respiratory disease at local levels across England, by using over 2 billion transactions logged by a UK high street retailer from March 2016 to March 2020. We report the results from the novel AI explainability variable importance tool Model Class Reliance implemented on the PADRUS model. PADRUS is a machine learning model optimised to predict registered deaths from respiratory disease in 314 local authority areas across England through the integration of shopping sales data and focused on purchases of non-prescription medications. We found strong evidence that models incorporating sales data significantly out-perform other models that solely use vari-ables traditionally associated with respiratory disease (e.g. sociodemographics and weather data). Accuracy gains are highest (increases in R2 between 0.09 to 0.11) in periods of maximum risk to the general public. Results demonstrate the potential to utilise sales data to monitor population health with information at a high level of geographic granularity.