bluuebunny/crossref_metadata_2025_split huggingface dataset:
Beamforming-based acoustic mapping characterization
Authors: García-Unzueta Emiliano Ehecatl , Rascon Caleb , Mendez-Monroy Paul Erick 
Published: January 2024

Abstract
This article analyzes the performance of a beamforming-based acoustic mapping model that uses signals captured by a wireless acoustic sensor network (WASN) when environmental and signal capture parameters change. The acoustic mapping process can be described in the stages of: distribution of the WASN in the acoustic environment, acoustic signal capture by the WASN nodes, and acoustic mapping model implementation. The analyzed factors are: processing time, shape of the map, and localization performance in the presence of several acoustic elements. The characterization presented in this work consists on the variation of parameters (such as number of proof points, window length, number of microphones, number of sources, type of sources, presence of noise, acoustic signal frequency composition, etc.) and analyzing its impact on three beamforming techniques that have been recently shown to be able to provide an acoustic map using signals captured by a WASN: Delay-and-Sum (DAS), Minimum Variance Distortionless Response (MVDR), and Phase-Based Binary Masking (PBM). As a result of this analysis, an optimal configuration for the acoustic mapping process can be defined for a selected application: MVDR was shown to be more robust against noise and array geometry, but was slower in processing time than PBM which, in turn, only provided better acoustic maps in specific non-noisy scenarios.
Propagation properties of vortex Hermite cosine-hyperbolic-Gaussian beams in uniaxial crystals orthogonal to the optical axis
Authors: Lazrek M. , Khannous F. , Hricha Z. , Belafhal A. 
Published: January 2024

Abstract

The evolution properties of a vortex Hermite cosine-hyperbolic-Gaussian beam (vHChGB) in uniaxial crystals are investigated. Based on the Huygens–Fresnel diffraction integral, the propagation equation for a vHChGB passing through a uniaxial crystal orthogonal to the optical axis is derived in detail. The propagation features of the intensity of the beam in the uniaxial crystal are analyzed with numerical illustrative examples. It is demonstrated that upon propagation, the anisotropy of the uniaxial crystal influences strongly the beam properties. The output beam is astigmatic, and its intensity distributions are strongly related to the ratio of refractive indices of the crystal and the initial beam structure parameters. This study may provide a convenient way to generate astigmatic vortex hollow beams.
Metabolomics-based Investigation of Primary Biliary Cholangitis: A Cholestatic Liver Disease
Authors: de Oliveira Juliana Magalhães , Lopes Thais de Assis , Castro Alex , Signini Étore De Favari , Catai Aparecida Maria , Ferreira Antonio Gilberto , Cançado Eduardo Luiz Rachid , Oliveira Regina Vincenzi 
Published: January 2024

Abstract

Introduction
Primary Biliary Cholangitis (PBC) is a rare disease that affects the liver. It causes the progressive destruction of the intrahepatic bile ducts, leading to liver fibrosis. Currently, the diagnosis of PBC includes a medical and family history, physical exams, blood tests, imaging tests, and occasionally a liver biopsy. If not promptly treated, PBC progresses to cirrhosis, liver failure, and death.
Objectives
To improve the development of new diagnostic or prognostic methods for PBC, a metabolomic-based study was conducted to evaluate the metabolomic profiles reflected in plasma and urine samples from healthy individuals and PBC patients. This study aimed to gain a better understanding of the underlying pathological mechanisms of PBC.
Methods
Blood plasma and urine samples were collected from 30 female PBC patients and 20 female healthy controls. The study used an untargeted metabolomic approach involving liquid chromatography coupled with high-resolution mass spectrometry (LC-HRMS). The data was processed using multivariate and univariate statistical methods.
Results
Forty-seven plasma and fifty-six urine metabolites demonstrated statistical differences between PBC patients and healthy controls (p ≤ 0.05). The most significant differences were found in metabolites related to bile acid and lipid metabolism (including phospholipids and fatty acids) and branched-chain amino acids. These findings indicate that metabolomic profiling in plasma and urine can help identify new diagnostic biomarkers for PBC.
Conclusions
The study highlights metabolites linked to fatty acid beta-oxidation, bile acid biosynthesis, and amino acid metabolism as potential candidates for biomarkers in PBC, which can assist further studies for PBC diagnosis and therapeutic monitoring.
Preparation and Application of Novel Power Semiconductor Chips
Authors: Zhiwei Yang , Abas Asim 
Published: January 2024

Abstract
The power semiconductor industry, as the cornerstone of the information industry, has become an important indicator for measuring the technological level and development scale competitiveness of an industry, and is also an indispensable part of the energy industry. In order to promote the development of the semiconductor industry and enhance its innovation capabilities and competitiveness, it is necessary to seize the development opportunities in the semiconductor chip market. Therefore, based on elucidating the development direction of thyristor chip structure design, novel gate-level structures and multilayer semiconductor structures have been designed with the aim of improving the triggering current and dynamic characteristics of thyristor chips.
Do interlocked directors affect the governance of companies?
Authors: Stocco Davide , Barucci Emilio 
Published: January 2024

Abstract
The effect of interlocked directors on the corporate governance of listed companies is not easy to assess: interlocked directors are too busy and may not properly monitor the company but both good and poor practices may propagate through them. Adopting a network approach we show that companies sharing directors have similar governance but no significant effect on the quality of corporate governance is detected. The quality of corporate governance is mostly associated to a large quota of small shareholders, company size, the stake of institutional investors and of the State.
JEL Classification: G34, L14
Phylogenetic relationships of Schistosoma japonicum in evolution
Authors: Nelwan Martin 
Published: January 2024

Abstract
Purpose: In this research, I researched the phylogenetic relationships of Sschistosoma sinensium and Schistosoma japonicum, as well as relationships of East Asia Schistosoma japonicum and Southeast Asia S. japonicum.
Results: The results of nucleotide BLAST showed that Sichuan S. sinensium AF465913.1 shared 72.29% identity with Jiangxi S. japonicum FJ852203.1. E-value is < 0.01. Schistosoma sinesium established S. japonicum in Jiangxi. Jiangxi S. japonicum spread to other parts of China, Japan, Southeast Asia, and Taiwan. It is close to, for example, S. japonicum of Anhui Tongling, Hunan Changde, and Indonesia. In ND1 gene sequences, for example, Jiangxi S. japonicum KP793763.1 shared 100% identity with Hunan Chande S. japonicum KP793756.1, 99.89% identity with Anhui Tonling S. japonicum KP793747.1 and Indonesia S. japonicum KP793779.1. E-values = 0.0. Commonly, Indonesia S. japonicum derived from China, which include Anhui Guichi, Anhui Tongling, Hunan Changde, and Hunan Yueyang. Schistosoma japonicum is close to each other in genetic relationships.
Conclusions: Schistosoma japonicum spread from Jiangxi to other parts of East Asia and to Southeast Asia. The parasite has close genetic relationships.
Operational Sensor Adjustment for Structural Health Monitoring Systems in Wind Turbines using Machine Learning
Authors: Rupfle Johannes , Wondra Bernhard , Nowack Markus 
Published: January 2024

Abstract

The digitalization in structural engineering has significantly amplified the importance of Structural Health Monitoring systems, especially in civil engineering and the renewable energy sector. A monitoring system allows for deep analysis of the structure's health state, can detect anomalies, and also allows for the determination of remaining useful life. Initially, after installation, a monitoring system needs adjustment so that it can be used for various analysis purposes. This paper presents three different methods to fully automatically adjust sensor offsets of tilt, acceleration, and strain data in wind turbine towers. In the first method, we make use of an initiated 360-degree nacelle rotation and its unbalanced rotor weight-induced tower bending. In the second method, uniaxial operational data is collected and binned to form a database for a univariate regression. A third method consists of a biaxial operational data set, allowing for a multivariate regression. The applications of the second and third approaches can be extended to any slender structure under environmental load. The presented workflow also allows for fully automated sensor orientation determination and fault detection due to long-term drift observation of sensor characteristics.
Robustness Evaluation of LSTM-based Deep Learning Models for Bitcoin Price Prediction in the Presence of Random Disturbances
Authors: Kanaparthi Vijaya 
Published: January 2024

Abstract
As Deep Learning (DL) continues to be widely adopted, the growing field of study on the robustness of DL approaches in finance is gaining steam. This paper investigates the robustness of a Recurrent Neural Network (RNN) with Long Short-Term Memory (LSTM) intended for daily closing price predictions of Bitcoin (BTC). The research entails reproducing and adjusting an LSTM design from previous research, with an emphasis on evaluating the robustness of the network. The network is trained using data that has been disturbed by Gaussian noise to assess robustness, and the effect on predictions made outside of the sample is examined. To examine the impact of adding Gaussian noise layers and noisy dense layers on training accuracy and out-of-sample predictions, further robustness tests are conducted. The results show that the LSTM network has remarkable robustness to random disturbances in the data. Nevertheless, the Root Mean Square Error (RMSE) of the prediction increases with the addition of Gaussian noise and noisy dense layers. When random noise is present in the training data, the Autoregressive Integrated Moving Average (ARIMA) model is more vulnerable to it than the LSTM, according to the robustness of the two models. These findings highlight how robustness DL techniques are overall when compared to more conventional linear methods. However, because these models are black-box, the study highlights the significance of comprehensive testing. Although the robustness of the LSTM is impressive, it is important to understand that each network may behave differently depending on the circumstances.
Comprehensive assessment of permafrost carbon emissions indicates need for urgent action to keep Paris Agreement temperature goals within reach
Authors: Treharne Rachael , Gasser Thomas , Rogers Brendan M , Turetsky Merritt R , Schädel Christina , MacDonald Erin , Natali Susan 
Published: January 2024

Abstract
Rapid Arctic warming is thawing carbon-rich permafrost, releasing greenhouse gasses to the atmosphere and accelerating global climate change. Despite the importance of this feedback, permafrost-enabled global-scale models simulate only one mechanism of belowground carbon loss: the gradual, top-down thickening of the seasonally-thawed soil layer. This ignores abrupt permafrost thaw and intensifying fire regimes that result in combustion of soil carbon and fire-induced thaw. Here, we expand a compact Earth system model (OSCAR v3.0) to enable first-order estimates of the impacts of abrupt thaw and wildfire, together with gradual thaw, on remaining carbon budgets consistent with the temperature goals of the Paris Agreement. We find that remaining carbon budgets are reduced by up to 20% for 1.5°C, and up to 22% for 2.0°C. Ensuring that these substantial future emissions are accounted for when developing emissions reductions targets consistent with the Paris agreement presents a timely challenge for scientific and policy communities.
Off-label use of Clomiphene citrate to Treat Anabolic-androgenic Steroid induced Hypogonadism upon cessation among men (CloTASH) - a pilot study protocol
Authors: Havnes Ingrid Amalia , Henriksen Hans Christian Bordado , Johansen Per Wiik , Bjørnebekk Astrid , Neupane Sudan Prasad , Hisdal Jonny , Seljeflot Ingebjørg , Wisløff Christine , Jørstad Marie Lindvik , McVeigh Jim , Jørgensen Anders Palmstrøm 
Published: January 2024

Abstract

Introduction:
Non-prescribed anabolic-androgenic steroid (AAS) use is widespread and may induce hypogonadism, and metabolic, cardiovascular and mental health risks. The study aims to explore feasibility and safety of off-label clomiphene citrate therapy, whether the treatment will reduce the symptoms of androgen deficiency, and to study changes in health risks after cessation.
Methods and analysis:
This is a non-randomized proof of concept pilot study to test the feasibility of an off-label hormone intervention. In this open-labeled intervention study, we shall include males with AAS dependence intending to quit AAS use. Clomiphene citrate will be given for a period of 16 weeks to stimulate the endogenous testosterone production. Measures of physical and mental health will be examined from ongoing AAS use, during the intervention period, and at follow-up 6- and 12-months post-cessation.
Change in self-reported symptoms of hypogonadism (fatigue, depression, anxiety, sexual dysfunction) and other withdrawal symptoms will be compared with data from a group of men who ended AAS use temporarily without any medical intervention.
Discussion:
This pilot study is the first study to test feasibility of off-label use of CC with the intention to restart endogenous testosterone production upon cessation of AAS among men with AAS-induced hypogonadism. The study may provide valuable clinical insights, enabling the exploration of whether adjustments are needed for the intervention. The results may be used to determine the sample size and informing the design of future RCTs or case comparison studies.
Ethics and dissemination:
The study is initiated by investigators, funded by public grants and is approved by the Regional Committee for Medical and Health Research Ethics (REC) in Norway, Norwegian Medicines Agency and the Data Protection Officer for Research at Oslo University Hospital.
Trial registration: EudraCT, EudraCT 2020-005938-15, Registered by Norwegian Medicines Agency 3rd November 2021. https://www.clinicaltrialsregister.eu/ctr-search/trial/2020-005938-15/NO
Navigating Pompe Disease Assessment: A Comprehensive Scoping Review
Authors: Rivera Israel Davila , Campos Letícia Nunes , Alegre Daiana M. Ibañez , González Fabiana N. del Puerto ,   Mónica Garrido San Juan1, Zelcer Federico Fernandez , Borgobello Delfina , Gerk Ayla , Sosa Laura F. , Miretti Marcos M. , Argüelles Carina F. , Stegmann Jorgelina 
Published: January 2024

Abstract

Background
Pompe Disease (PD) is a rare progressive autosomal recessive disorder resulting from deficient acid alpha-glucosidase (GAA) enzyme activity, necessitating timely identification and management. This scoping review aimed to synthesize the evidence regarding assessment methods for screening, diagnosing, and following up PD.
Methods and Results
We searched citations in English and Spanish published from 2017 until February 8, 2022, across 11 databases. We included primary studies, reviews, and guidelines that described at least one assessment method for patients with confirmed clinical, genetic, or biochemical PD. Screening and data extraction adhered to PRISMA-ScR. Data was summarized narratively and with descriptive statistics. After screening 2,139 citations, 96 met the eligibility criteria. Cross-sectional studies were the most prevalent design (28%), while guidelines were the least frequent (1%). Newborn screening availability varied among countries, despite its potential to improve PD prevalence estimations. Overall, 81 articles assessed clinical manifestations, with 47 focusing on late-onset PD. We identified considerable heterogeneity in reporting PD phenotypes. The use of dried blood spots for GAA enzyme deficiency detection was described in 18 articles, but reporting lacked standardization. Next-generation sequencing emerged as the gold standard for identifying mutated alleles. Monitoring strategies for pediatric and adult PD lacked consensus, and only one article assessed quality of life.
Conclusion
This scoping review summarized the evidence to comprehensively evaluate PD patients, emphasizing current practices and existing challenges that must be tackled to optimize screening, diagnosis, and follow-up of PD.
Anti-inflammatory Activity and Computational Biology Study of Indole/Pyrimidine
Hybrids
Authors: Sayed Mostafa , Sayed Ahmed M. , El-Rashedy Ahmed A. , Saddik Abdelreheem Abdelfatah , Alsaggaf Azhaar T. , El-Dean Adel M. Kamal , Hassanien Reda , Ahmed Mostafa 
Published: January 2024

Abstract:
This research paper embarks on an interdisciplinary exploration encompassing
synthetic chemistry, pharmacology, and computational biology. The development of novel
anti-inflammatory agents is an imperative endeavor within pharmaceutical research. Pyrimidines
and thienopyrimidines are class of heterocyclic compounds that have gained prominence
for their diverse pharmacological properties, including potential anti-inflammatory
effects. When augmented with an indole moiety, these compounds exhibit structural diversity
that can profoundly influence their biological activities. The integration of computational
biology specifically molecular docking, plays a crucial role in predicting and understanding
the binding interactions between these compounds and select protein targets associated with
inflammatory pathways. This computational approach expedites the screening of potential
drug candidates and elucidates the molecular underpinnings of their anti-inflammatory actions. Pyrimidine and
thienopyrimidines tethering indole scaffold were obtained according to our reported methods. Subsequently, in
vivo evaluation of anti-inflammatory is indispensable to gauge the anti-inflammatory potential of these compounds
and establish structure-activity relationships. The experimental and computational biology studies of the
target indole-pyrimidines hybrids revealed that these compounds can serve as anti-inflammatory agents. This
paper can potentially open new avenues for therapeutic strategies against inflammation-associated disorders.
The synergy of synthetic innovation, pharmacological evaluation, and computational insights offers a holistic
approach to advance our understanding of pyrimidines with an indole moiety as potential agents for mitigating
inflammation.
Optimization of Machining Fixture Layout for Thin Walled Component using DOE and FEM
Authors: Subramanian Selvakumar , K.M Arunraja , P Praveen 
Published: January 2024

Machining fixtures are used to improve the productivity and quality of the finished components. It is essential to produce a component in specified accuracy and quality; this can be achieved by optimizing the precise fixture design based on workpiece geometry and machining parameters. In this work, optimum fixture layout is developed for thin walled component. Taguchi and Response surface methodology based optimization procedures are established for identifying the optimum fixture layout. Finite element solver ANSYS is used for predicting the workpiece elastic deformation caused by machining and clamping forces.
Expression and correlation analysis of neuropeptide-related molecules in peripheral blood of patients with COVID-19
Authors: Li Hongwei , Zhao Li , Wu Shangzhi , Tang Sixiang , Kunwar Keshab Bahadur , Lu Chengyu , Chen Dehui 
Published: January 2024

Objective To investigate the expression of neuropeptide family members
in the peripheral blood of children infected with COVID-19 and its
correlation with inflammatory indicators. Methods Blood samples were
collected from 40 newly diagnosed children with COVID-19 infection and
17 hospitalized children with non-COVID-19 bronchial pneumonia in our
hospital during the same period. Baseline clinical data were collected
and analyzed. Expression and correlation analysis of
neuropeptide-related molecules in peripheral blood were detected and
analyzed by ELISA. Results In this study, 43% of COVID-19 patients are
male. 71% of non-COVID-19 patients are male. ACE and ACE2 in the
COVID-19 group were not significantly higher than that in the
non-COVID-19 group, and ACE2 in non-COVID-19 and moderate COVID-19
groups was higher than that in severe groups (p=0.04*; p=0.03*). ASCL1
in the non-COVID-19 group was higher than that in the COVID-19 group
(p=0.04*). ASCL1 in the non-COVID group was higher than that in the
severe COVID group (P=0.02*). There were no significant differences in
SP, VIP, and GRP between COVID-19 and non-COVID-19 groups. ASCL1
respectively with N % (r = -0.534, p < 0.001 * * *), CRP (r
=- 0.522, p < 0.001 * * *) negatively correlated, L % (r =
0.572, p< 0.001 * * *), AST (r = 0.496, p = 0.001 * *) were
positively correlated. There was no significant correlation with WBC
count, PLT count, ALT, LDH. Conclusions We found that, unlike adults,
ACE and ACE2 were not high in children with COVID-19. ASCL1 in children
with COVID-19 is lower than that in non-COVID-19 children, which may
indicate that ASCL1 may be decreased in COVID-19 patients. At the same
time, ASCL1 is negatively correlated with N% and CRP, suggesting that
ASCL1 may play a certain role in COVID-19 inflammation.
Comparison of plate internal fixation, intramedullary fixation, and conservative treatment for adult mid-clavicle fracture: A network meta-analysis
Authors: Wei Zhihui , Chen Xiao , ZHANG Minghua , HE Chao , Zhao Bo , Shao Gaohai , Xie Bo , Jiang Lian 
Published: January 2024

Background. Adult mid-clavicle fractures are common but there is no
consensus on the optimal treatment. Objective. The present network
meta-analysis investigated the safety and efficacy of plate internal
fixation, intramedullary fixation, and conservative treatment for adult
mid-clavicle fracture. Methods. PubMed, OVID, EMbase, Cochrane Library,
VIP, WanFang, and CNKI databases were searched up to March 2020 by two
independent researchers for randomized controlled trials (RCTs)
including patients treated by plate fixation, intramedullary fixation,
or conservative treatment for mid-clavicle fractures. Primary outcomes
were Constant score, Disabilities of the Arm, Shoulder and Hand (DASH)
score, nonunion rate, and healing time. Data were analyzed using GeMTC
14.3 and Stata 14 software. Results. A total of 27 RCTs were included.
The network meta-analysis revealed no significant differences in
Constant score among groups at 3-months and 12-months post-treatment (P
> 0.05); however, at 24-months, intramedullary and plate
fixation treatments were superior to conservative treatment according to
probability ranking. There were significant differences in DASH score at
3-, 12-, and 24-months post-treatment (P< 0.05), and again
probability ranking indicated that intramedullary and plate fixation
treatments were superior to conservative treatment at 3 and 12 months,
while conservative treatment was superior at 24 months. Nonunion rate
also differed among treatments, with intramedullary and plate fixation
superior to conservative treatment by probability ranking. Finally,
healing time was significantly shorter following intramedullary and
plate fixation compared to conservative treatment. Conclusion. Plate
internal fixation and intramedullary fixation achieve superior
functional outcome, lower nonunion rate, and shorter healing time for
treatment of adult mid-clavicle fractures compared to conservative
treatment.