bluuebunny/crossref_metadata_2025_split huggingface dataset:
Controls on bioturbation and sediment distribution in carbonate shoreface deposits: insights from heterogeneity in Pleistocene and Recent strata
Authors: Goers Alexa R. , Hasiotis Stephen T. , Rankey Eugene C. 
Published: August 2023

ABSTRACT
Burrowing organisms alter sedimentary textures, influence cement distribution, and affect petrophysical characteristics of carbonate strata. Although many descriptions of carbonate successions reference bioturbation, quantitative data on spatial variability of trace fossils is rare, and fewer studies address trace-fossil influence on postdepositional modification of sedimentary deposits, which can affect petrophysical properties. To address these unknowns and determine the controls on ichnology in carbonate shoreface successions, this study evaluates the along- and across-strike distribution of sediment and bioturbation in recent, Holocene, and Pleistocene shoreface deposits on the leeward margin of Crooked–Acklins Platform (CAP), southern Bahamas. To the north, the extant margin shelf is characterized by poorly to moderately sorted, very fine–fine, skeletal–peloid–ooid sand with an average of 16% mud (&lt; 62.5 µm) that is moderately to intensely bioturbated (ii3–6). Trace assemblages are diverse, and include horizontal tracks and trails, abundant horizontal deposit-feeding and locomotion traces, as well as dwelling and resting burrows attributable to the proximal Cruziana Ichnofacies. In marked contrast, shelf margin deposits to the south are well-sorted, medium ooid–peloid sand with &lt; 1% mud, and display a range of bioturbation, from nonbioturbated to moderately intense bioturbation (ii1–4). Trace-fossil assemblages exhibit low ichnodiversity, dominated by vertical dwelling burrows with reinforced wall lining attributable to the Skolithos Ichnofacies. Holocene and Pleistocene strata show similar proximal-to-distal and along-strike variations in sediment attributes, ichnodiversity, and bioturbation. These trends reflect a progressive, north-to-south increase in energy reflecting the change in margin orientation relative to the direction of dominant wave energy, analogous to the recent system. This study provides data for an integrated sedimentologic–ichnologic conceptual model for processes and patterns of sediment accumulation on carbonate shorefaces, and are distinct from siliciclastic analogs.
Features of using silicon carbide in melting converter steel
Authors: Bondar V. I. 
Published: August 2023

The article discusses the possibility of using silicon carbide as the main component for preliminary deoxidation of a carbonaceous intermediate product when the latter is discharged from the converter into a ladle in order to adjust the costs of tradition‑ ally used deoxidizing materials. It has been established that the use of silicon carbide as a deoxidizer is economically feasible in the smelting of low‑carbon low‑alloy steels of converter production.The method of adding the material is described and the results of the work performed are presented.
Evaluation of Effectiveness of Application of Horizontal Inertial Barriers to Reduce Vibrations Propagating in Ground Environment
Authors: Povkolas K. E. 
Published: August 2023

The paper presents calculations of vibrations of the soil mass when a horizontal inertial barrier in the form of a rectangular concrete slab buried in the ground is placed on the propagation path of vibrations. The damping effect of a surface wave upon its contact with an inertial plate is associated with its reflection, refraction and partial absorption. Theoretical studies have been carried out using the finite element method. The ground medium has been considered as an elastic inertial array bounded by non-reflecting boundaries. Various variants of the geometry of the inertial plate and its spatial arrangement on the surface of the soil medium between the vibration source and the considered point behind the barrier are modeled. The effectiveness of each variant of vibration isolation has been quantified by the value showing how many times the speed of vertical oscillations of the ground behind the barrier decreases compared to the free propagation of surface waves. It is shown that an intensive decrease in vertical displacements occurs starting from the side face of the inertial plate. Here, the amplitude of vertical oscillations decreases by 9,8 times for a concrete slab 15 m long, and by 4,2 times for a 3-meter slab. At a distance of 22 m from the point of application of the dynamic load, the amplitudes decrease by factors of 5.48 and 2.95, respectively, for slabs of 15 and 3 m width. This method of reducing vibro-dynamic effects has a simple design and can be used in cramped conditions of urban development to protect existing and planned buildings and structures.
Implementation of Thyroid Eye Disease Registry in Iran: Rationale and Research Protocol
Authors: Akbarian Shadi , Sheikhtaheri Abbas , Khorrami Farid , Ghahvechian Hossein , Karimi Nasser , Kashkouli Mohsen Bahmani 
Published: August 2023

Abstract
Background
To describe the implementation of a registry system for patients with thyroid eye disease (TED) in Iran to obtain more information about its nature, prevalence, and annual incidence, as well as extend insight into the etiology, pathogenesis, and eventually make an accurate prognosis of different medical or surgical treatment methods.
Methods
After receiving approval from the Disease Registry Committee of Iran University of Medical Sciences (IUMS) in 2019 and the Ministry of Health and Medical Education (MOHME) in 2020, the protocol was introduced in three consecutive phases at regional, provincial and national levels. The establishment of a registry committee in Rassoul Akram Hospital was the first step to organizing the registry project's main core. The steering committee included six subgroups of required subject fields. The members are experts in developing a guideline, providing a new dataset, drawing an outline for the next steps, and structuring user-friendly software through several panel discussion meetings. The data is collected from clinical and para-clinical/imaging findings, laboratory evaluations, and their selected treatment strategy, retrospectively and prospectively.
Results
The purpose is to broaden our knowledge about the profile of TED; accordingly, data related to patients’ demographics, thyroid gland disease (status, duration, treatments, and function tests), general medical and ocular history, along with visual/ocular exams resulting TED status are collected and recorded in a 2- language software. The web-based software system is accessible at https://orc.iums.ac.ir. To maintain data security, prioritized user access was defined for different members. Furthermore, diverse methods, such as employing trained staff and utilizing software validation rules, were implemented to control data quality in every step of data collection, entry, and registration. Medical records of retrospective subjects were also evaluated and entered after accuracy verification.
Conclusion
Iran's TED registry provides practitioners with comprehensive data on natural history and phenotype variations in clinical features and outcomes. It facilitates patient recruitment and, consequently, earlier diagnosis on a large scale which helps improve treatment and quality of life for patients.
AUTOSurv: Interpretable Deep Learning Framework for Cancer Survival Analysis Incorporating Clinical and Multi-omics Data
Authors: Jiang Lindong , Xu Chao , Bai Yuntong , Liu Anqi , Gong Yun , Wang Yu-Ping , Deng Hong-Wen 
Published: August 2023

Abstract

Accurate prognosis for cancer patients can provide critical information for optimizing treatment plans and improving life quality. Combining omics data and demographic/clinical information can offer a more comprehensive view of cancer prognosis than using omics or clinical data alone and can reveal the underlying disease mechanisms at the molecular level. In this study, we developed a novel deep learning framework to extract information from high-dimensional gene expression and miRNA expression data and conduct prognosis prediction for breast cancer and ovarian cancer patients. Our model achieved significantly better prognosis prediction than the conventional Cox Proportional Hazard model and other competitive deep learning approaches in various settings. Moreover, an interpretation approach was applied to tackle the “black-box” nature of deep neural networks and we identified features (i.e., genes, miRNA, demographic/clinical variables) that made important contributions to distinguishing predicted high- and low-risk patients. The identified associations were partially supported by previous studies.
Epityfication of Perisporiopsis struthanthi and Perisporiopsis lantanae, and the taxonomic implications for Perisporiopsidaceae, Perisporiopsis and Setophoma
Authors: Ferreira Bruno W. , Guterres Debora C , Macedo Davi M. , Barreto Robert 
Published: August 2023

Abstract

Perisporiopsidaceae includes species with superficial ascomata seated on a subiculum, and ellipsoidal oblong, one or more septate, hyaline ascospores. Taxonomy of species in this family has been based, mainly, on morphological characters and host/substrate associations. There is limited information about the taxonomic placement of Perisporiopsidaceae within the Dothideomycetes. Here, an assessment of the phylogenetic position of the Perisporiopsidaceae was conducted based on a multilocus phylogenetic analysis of sequence data obtained from fresh material of the type species of Periosporiopsis – Perisporiopsis struthanthi. An epitype is designated here. In addition, novel specimens and pure cultures of Perisporiopsis lantanae were also obtained, inclusive from the type locality and subjected to molecular analysis. Additionally the status of Perisporiopsis lateritia was investigated. Perisporiopsis struthanthi and P. lantanae were found to belong to a clade within the Phaeosphaeriaceae. Perisporiopsis struthanthi grouped with Setophoma spp. and P. lantanae isolates formed a separate clade within Phaeosphaeriaceae. There was, nevertheless, no morphology-based indication of a connection between Perisporiopsis and Setophoma. The members of Setophoma spp. that are closer to Perisporiopsis struthanthi (Setophoma sacchari, S. pseudosacchari, S. vernoniae, S. chromolaenae, S. antiqua, and S. endophytica) are combined herein into Perisporiopsis as, P. antiqua, P. chromolaenae, P. endophytica, P. pseudosacchari, P. sacchari, and P. vernoniae,). Additionally, Setophoma is splited into three genera: Setophoma stricto sensus (including the type species Setophoma terrestris, S. brachypodii, and S. poaceicola), Pseudosetophoma (type Pseudosetophoma yunnanensis, and with P. yingyisheniae), and Troglophoma (type Troglophoma caverna, and with T. longinqua). Perisporiopsis lateritia grouped in the family Pyrenochaetopsidaceae, Perisporiopsidaceae is merged into Phaeosphaeriaceae, a family having nomenclatural priority over Perisporiopsidaceae. A new genus and combination are proposed to accommodate P. lantanae, namely Sputnikia and Sputnikia lantanae whereas P. lateritia is combined to Pyrenochaetopsis lateritia. Other species and genera in Perisporiopsidaceae should be regarded as Incertae sedis, until specimens are recollected and epitypes designated, or DNA sequences obtained from the type specimens and a molecular phylogenetic study clarifies their taxonomic position.
Efficient Blind Signal Separation Algorithms for Wireless Multimedia Communication Systems
Authors: Ali R. , Zahran Osama , El-Samie Fathi E. Abd , Eldin Salwa Serag 
Published: August 2023

Abstract

This paper studies the problem of multi-user blind signal separation (BSS) in wireless communications. The existing separation algorithms work on quadrature phase shift keying (QPSK). Through this work two proposed algorithms were presented to enhance the BSS performance. The first proposed algorithm uses wavelet denoising to remove noise from the received signals in time domain. It adopts different modulation techniques such as minimum shift keying (MSK), quadrature phase shift keying (QPSK), and Gaussian minimum shift keying (GMSK) then uses several BSS algorithms such as independent component analysis (ICA), principle component analysis (PCA), and multi user kurtosis (MUK) algorithms. The second proposed algorithm transfers the problem of BSS to transform domain and uses wavelet denoising to reduce noise effect on received mixture. BSS with Discrete Sine Transform (DST) and Discrete Cosine Transform (DCT) were investigated and compared to time domain performance. Minimum square error (MSE) and signal to noise ratio (SNR) were used as the evaluating metrics. Simulation results proved that in time domain, MUK with QPSK gives best performance and wavelet denoising was found to enhance the performance of BSS under all conditions. Signal separation in transform domain was found to give better performance than that in time domain due to the energy compaction process of these transforms and noise reduction due to their averaging effect.
Performance Evaluation of Upstream losses in Passive Optical Network
Authors: goyal Shivani , Jain Vishal 
Published: August 2023

Abstract
In contrast to conventional single-mode fibre, this study illustrates the first Trench Assisted Multi-Core Fibre (TA-MCF) in a passive optical network (PON) that uses space division multiplexing (SDM) to effectively minimise upstream losses and lower the cost per bit of optical fiber.For upstream transmission via 19 optical network units (ONUs) in TA-MCF, an error-free performance is assessed. Excellent reductions of total link losses are analysed using TA-MCF for upstream transmission with minimum acceptable inter-core crosstalk.
Cat swarm optimization-based energy efficient target tracking in wireless sensor network
Authors: Tabatabaei Shayesteh 
Published: August 2023

Abstract

Objective: using the cat swarm optimization algorithm to reduce energy consumption and data transmission delay in WSNs (wireless sensor networks)
Materials and Methods: WSNs have emerged as a critical sensing technology with a wide range of military and civilian applications. In these networks, a large number of sensors are distributed throughout an area to track a specific target. Each sensor is regarded as an operating tool that uses limited energy. They can sense and understand events within their sensing domains, as well as communicate with neighbouring sensor nodes. Because the battery determines the lifespan of a sensor, an efficient method of energy consumption must be used. The depletion of batteries' limited energy reserves may result in the network's demise. As a result, devising and developing a time plan for sensors' sleep and wake-up cycles is regarded as a critical goal in line with increasing network lifetime. We proposed a novel and different time planning method for enhancing the lifetimes of WSNs in this paper, using the cat swarm optimization algorithm, in which at least half of the full coverage is provided at all times. The simulation results showed that using a cat swarm optimization algorithm can reduce energy consumption and data transmission delay. It also improves load balance. Opnet simulator version 11.5 was used for the experiments and simulation.s
Effectiveness and safety of everolimus treatment in patients with tuberous sclerosis complex in real-world clinical practice
Authors: Cockerell Ine Tracey , Christensen Jakob , Hoei-Hansen Christina E , Holst Lotte , Frederiksen Mikkel Grenaa , Issa-Epe Aart Imran , Nedregaard Bård , Solhoff Ragnar , Heimdal Ketil , Landmark Cecilie Johannessen , Lund Caroline , Nærland Terje 
Published: August 2023

Abstract
Background
The randomised double-blinded placebo-controlled EXIST-1–3 studies have proven everolimus effective with acceptable adverse effects in the treatment of symptoms in patients with tuberous sclerosis complex (TSC), although evidence of outcomes in clinical practice remains limited. This study aimed to investigate, in clinical practice, the effectiveness and safety of everolimus for epilepsy, renal angiomyolipoma (rAML), and subependymal giant cell astrocytoma (SEGA) in patients with TSC.
Results
The study included 64 patients with TSC (median age: 19, range: 0.9–54 years) receiving everolimus treatment (Norway: n = 35; Denmark: n = 29). Among 45 patients with epilepsy, 14 (31%) were responders experiencing ≥ 50% reduction in seizure frequency in the last 3 months of treatment compared with the last 3 months before treatment. Seventeen (38%) patients changed their anti-seizure medications (ASMs). Responders were more common among patients < 18 years (46%) than among patients ≥ 18 years (14%, p = 0.03). In 29 patients with rAML, everolimus reduced (≥ 30% decrease) and stabilised (< 20% increase, ≤ 30% decrease) longest diameter of rAML in 38% and 59%, respectively, after a mean treatment duration of 37 months. SEGA volume was reduced in three patients by 71%, 43%, and 48% after 39, 34, and 82 months, respectively. Adverse effects were reported in 61 of 64 patients (95%) after a median treatment duration of 31 months (range: 0–106), with oral ulceration/stomatitis (63%) and upper respiratory tract infections (38%) being the most common. The most common laboratory abnormalities were increased cholesterol (41%), anaemia (30%), and leucopoenia (25%). Grade 3–4 adverse effects were reported in 36% of cases, and life-threatening conditions were reported in two patients. Nine patients discontinued everolimus treatment.
Conclusions
Seizure reduction in this study sample was consistent with
A Method for Evaluating and Optimizing the XBRL Taxonomy Structure to Improve
Authors: behzadi fahime , Yaghoobirafi Kamaleddin , Nazemi Eslam 
Published: August 2023

Abstract
Abstraction
The advent of Information Technology (IT) and its development have made some changes in businesses. While enterprises and their systems and IT infrastructures are getting more complicated and also the number of standards and approaches in this scope are rising in interoperability in different layers of information technology in the enterprises. This challenge, especially in the field of semantic interactivity, causes inconsistencies and contradictions in semantic interactions that require the use of automatic approaches at the time of execution. A common approach that has been used in the direction of semantic interoperability is to define standards or taxonomies for a specific field and oblige institutions to follow mentioned standards in information exchange. Extensible Business Reporting Language (XBRL) has been widely implemented by various institutions in recent years in order to improve semantic interactivity. XBRL is developed to define notions and standard taxonomies related to particular applications. Presenting a unified and proper quality report to variant users whether natural or legal is expected to be among the most important results of XBRL. In fact, the quality of the report is the main and ultimate goal of using XBRL. Because the better the quality of the report, the better the semantic interactivity among different people and enterprises. In this paper, the impact of the XBRL taxonomy architecture on the quality of financial reports is investigated. Initially, the taxonomy is categorized into four structures including content structure, syntactic and semantic structure, physical and logical structure, and rules mechanism. Then, according to the metrics of cohesion, coupling, the richness of the label and language type, the average dimensions, the number of tuple structures, and explicitness, some changes have been proposed. For the purpose of evaluation, the proposed changes are made to the taxonomy of the Securities and Exchange Organization of Iran, and then the amount of each metric is calculated before and after applying the changes using the provided formulas. The simulation results show an improvement in the taxonomy architecture. Afterward, reports are taken from the taxonomy before and after applying the changes, and their quality is examined based on three qualitative metrics including transparency, information symmetry, and comparability using a questionnaire and statistical analysis the results show that after applying the changes to the taxonomy architecture a tangible improvement has been achieved.
Economic Burden of Sanfilippo Syndrome in the United States
Authors: Ashby Frederick , Park Haesuk , Svensson Mikael , Heldermon Coy 
Published: August 2023

Abstract
Introduction: Sanfilippo syndrome is a rare disease and fatal genetic disorder in the United States with no FDA-approved treatment, and no comprehensive assessment of economic disease burden is available.
Objectives: To develop a model to estimate the economic burden associated with Sanfilippo syndrome in the United States (US) using valued intangibles (disability-adjusted life years lost) and indirect burden (lost caregiver productivity) from 2023 onward.
Design and Setting: A multistage comorbidity model was generated using publicly available literature on Sanfilippo syndrome disability, and 14 disability weights from the 2010 Global Burden of Disease Study. Attributable increase in caregiver mental health burden and caregiver productivity loss were also estimated using data from the CDC National Comorbidity Survey, retrospective studies on caregiver burden in Sanfilippo syndrome, and Federal income data. Monetary valuations were adjusted to USD 2023 and given a 3% discount rate from 2023 onward.
Main Outcome Measures: Year-over-year incidence and prevalence of Sanfilippo syndrome was calculated for each age group in each year, and year-over-year disability-adjust life years (DALYs) lost due to patient disability was calculated by comparing to health-adjusted life expectancy (HALE), considering years of life lost (YLLs) due to premature mortality and years lived with disability (YLDs). Intangibles were valued in USD 2023, adjusted for inflation and discounted to provide economic burden of disease.
Results: From 2023-2043, overall economic burden in the US attributable to Sanfilippo syndrome was estimated to be $1.55 billion USD with current standard of care. The burden to individual families exceeded $5.86 million present value from time of birth per child born with Sanfilippo syndrome. These figures are also a conservative estimate, since they do not consider direct cost associated with the disease, as extensive primary data on the direct healthcare cost of Sanfilippo syndrome does not currently exist in the literature.
Conclusion: Sanfilippo syndrome is a rare lysosomal storage disease, however the severe burden associated with the disease for individual families demonstrates a considerable cumulative impact. Our model represents the first disease burden value estimate associated with Sanfilippo syndrome, and underscores the substantial morbidity and mortality burden of Sanfilippo syndrome.
EQ-algebras with Modal Operators
Authors: Gao Xiaoli , Cheng Xiao Yun 
Published: August 2023

Abstract
The main goal of this paper is to investigate modal operators on EQ-algebras. To begin with, we introduce the concept of modal EQ-algebras, that is, EQ-algebras equipped with modal operators. Moreover, we study some basic properties of modal EQ-algebras, and we obtain that modal operators are closure operators on EQ-algebras and vice verse. Furthermore, we introduce modal filters(prefilters) and modal congruences of modal EQ-algebras. We show that there is a one-to-one correspondence between modal filters and modal congruences on good modal EQalgebras. Finally, we give a characterization for minimal modal prime prefilters and characterize the representable good modal EQ-algebras via minimal modal prime prefilters.