bluuebunny/crossref_metadata_2025_split huggingface dataset:
A joint task caching and computation offloading scheme based on Deep Reinforcement Learning
Authors: Tian Huizi , Zhu Lin , Tan Long 
Published: February 2024

Abstract

Considering the dynamic variability of the vehicular edge environment and the limited edge servers resources, this paper proposes a joint task caching and computation offloading scheme based on deep reinforcement learning (DRL). Considering that the motion trajectories of different vehicles overlap and their task requests may be the same, this paper designs a vehicle-edge-cloud computing framework to fully use the cache resources of vehicles, edge servers, and clouds to reduce task processing delays and energy consumption. Secondly, this paper adopts a method of partial offloading and collaboration between edge servers, which fully utilizes the computing resources of vehicles, edge servers, and the cloud, reducing the burden of vehicles and edge servers. In addition, this paper proposes a DRL-based task offloading scheme to obtain better task caching and offloading strategies. The simulation results show that the scheme proposed in this article performs better compared to other schemes and effectively reduces the latency and energy consumption of task processing.
Multi-Objective Constraint Multi-Swarm Particle Swarm Optimization Without Velocity(MOCMPSOWV) and its implementation in the GOLDFISH framework.
Authors: Cichocka Judyta , Łoj Szymon 
Published: February 2024

Abstract
In this paper a multi-objective version of the recent Constraint Multi-Swarm Particle Swarm Optimization without Velocity (CMPSOWV) is developed. With the focus on wider adoption of optimization aimed at solving multi-objective constrained engineering design problems in practice, the proposed method is implemented in the popular Grasshopper framework as a new optimization plug-in “Goldfish”. As CMPSOWV, the MOCMPSOWV algorithm is supposed to obtain highly diversified optimization results thanks to incorporating the multi-swarm approach and the enlarged search scope for the best solution in the multiple locations of the hyperspace. The introduced MOCMPSOWV algorithm in the Goldfish framework has proven its superiority over algorithms such as: MOPSO, NSGA-II, SPEA, SPEA2, MOGA, MOEA/D in the quality of solution criteria and computing time in the engineering design problems such as: Welded beam case, Pressure Vessel case and multi-objective test functions.
Prediction and Feature selection of Low Birth Weight using Machine Learning Algorithms
Authors: Reza Tasneem Binte , Salma Nahid 
Published: February 2024

Abstract

Background and Aims: The birth weight of a newborn is a crucial factor that affects their overall health and future well-being. Low birth weight (LBW) is a widespread global issue, which the World Health Organization defines as weighing less than 2,500 grams. LBW can have severe negative consequences on an individual's health, including neonatal mortality and various health concerns throughout their life. To address this problem, this study has been conducted using BDHS 2017-2018 data to identify the most relevant features of LBW and the best model.
Methods: The study used data extracted from BDHS 2017-2018. The Boruta algorithm and Wrapper method were employed to identify essential features. Several machine learning classifiers were then used, including Decision Tree, SVM (Support Vector Machine), Naïve Bayes, Random Forest, XGBoost (eXtreme Gradient Boosting), and AdaBoost (Adaptive Boosting), to determine the best model for predicting LBW.
Results: According to the study, the Boruta algorithm identifies eleven significant features, which include the respondent's age, highest education level, educational attainment, wealth index, age at first birth, weight, height, BMI, age at first sexual intercourse, birth order number, and whether the child is a twin. The machine-learning classifiers used in the study were DT, SVM, NB, RF, XGBoost, and AB models, which had AUCs of 0.538, 0.532, 0.529, 0.549, 0.507, and 0.509, respectively. The DT and RF models, implemented using the wrapper method, identified three significant features: the region, whether the child is a twin, and delivery by cesarean section, with AUC values of 0.5550 and 0.5749, respectively. On the other hand, the SVM, NB, and AB models identified "child is twin" as a significant feature with an AUC value of 0.5120. Finally, the XGBoost model identified "age at 1st sex" and "child is twin" as significant features with an AUC value of 0.508.
Conclusions: Based on the analysis, the authors suggest that Random Forest (RF) is the most effective predictive model for Low Birth Weight (LBW). They also found that the Wrapper method is the best feature selection technique. Notable features of LBW include child is a twin, region, and delivery by caesarean section.
Safety and Efficacy of Apomorphine in the Treatment of Sleep Disorders in Parkinson’s Disease: A Systematic Review
Authors: Wang Ziyuan , Wu Jiannan , Yan Junqiang 
Published: February 2024

Abstract

Objective:This study aims to assess the safety and efficacy of apomorphine in addressing sleep disorders among individuals with Parkinson’s disease (PD).
Methods: A comprehensive search was conducted across multiple databases, including MEDLINE/PubMed, Cochrane Library, Embase, Web of Science, and CBM, to identify relevant studies.
Results: After eliminating duplicate data and applying predefined inclusion and exclusion criteria, a total of 117 patients from four studies (including one randomized controlled trial) were selected for analysis based on the PICOS criteria. The findings indicate that nocturnal apomorphine injections may offer benefits in terms of enhancing sleep quality and duration. Furthermore, apomorphine exhibits favorable tolerability and maintains a high safety profile.
Conclusions: In conclusion, this study provides supporting evidence for the efficacy of apomorphine in improving sleep quality and maintenance in PD patients, while also highlighting its safety. Nonetheless, further large-scale clinical trials are warranted to establish definitive guidelines for apomorphine treatment in PD-related sleep disorders.
Oceanic cloud trends during the satellite era and their radiative signatures
Authors: Tselioudis George , Rossow William B. , Bender Frida , Oreopoulos Lazaros , Remillard Jasmine 
Published: February 2024

Abstract

The present study analyzes zonal mean cloud and radiation trends over the global oceans for the past 35 years from a suite of satellite datasets covering two periods. In the longer period (1984-2018) cloud properties come from the ISCCP-H, CLARA-A3, and PATMOS-x datasets and radiative properties from the ISCCP-FH dataset, while for the shorter period (2000-2018) cloud data from MODIS and CloudSat/CALIPSO and radiative fluxes from CERES-EBAF are added. Zonal mean Total Cloud Cover (TCC) trend plots show an expansion of the subtropical dry zone, a poleward displacement of the midlatitude storm zone and a narrowing of the tropical Intertropical Convergence Zone (ITCZ) region over the 1984-2018 period. This expansion of the ‘low cloud cover curtain’ and the contraction of the ITCZ rearrange the boundaries and extents of all major climate zones, producing a more poleward and somewhat narrower midlatitude zone and a wider subtropical zone. Zonal mean oceanic cloud cover trends, when examined in terms of distinct latitude zones, two poleward of 50o and one bounded within 50oS and 50oN, show upward or near-zero cloud cover trends in the high latitude zones and consistent downward trends in the low latitude zone. The latter dominate in the global average resulting in TCC decreases that range from 0.72% per decade to 0.17% per decade depending on dataset and period. These contrasting cloud cover increases and decreases between the high and low latitude zones produce contrasting low latitude cloud radiative warming and high latitude cloud radiative cooling effects, present in both the ISCCP-FH and CERES-EBAF datasets. The global ocean mean trend of the Short Wave Cloud Radiative Effect (SWCRE) depends on the balance between these contrasting trends, and in the CERES dataset this balance is a SW cloud radiative warming trend of 0.12 W/m2/decade coming from the dominance of the low-latitude positive SWCRE trends while in the ISCCP-FH dataset it is a 0.3 W/m2/decade SW cloud radiative cooling trend coming from the dominance of the high latitude negative SWCRE trends. The CERES cloud radiative warming trend doubles in magnitude to 0.24 W/m2/decade when the period is extended from 2016 to 2022, implying a strong cloud radiative heating in the past 6 years coming from the low latitude zone.
Performance Enhancement of Circularly Polarized Microstrip Antenna Using Single-Layer Foam Substrate for 5.8 GHz ISM Band Applications
Authors: Hake Shahadev , Jaiswal Rupesh , Moon Sunil 
Published: February 2024

Abstract

Since last decade microstrip patch antenna has played a very important role in industrial, scientific, and medical (ISM) band applications, but single-layer antennae suffer from low gain, low radiation efficiency. For an ISM band, there is always a trade-off between these parameters, so maintaining it on a single-layer microstrip antenna is a big challenge. Hence this paper designs a circularly polarized (CP) microstrip antenna using a single-layer Foam Substrate for 5.8 GHz ISM band which offers high gain, improved radiation efficiency, and a lightweight design. It is constructed as a low-profile, single coaxial feed microstrip antenna on a foam substrate, achieving circular polarization by integrating two slots into the radiating patch antenna has dimensions of 0.98 λ0 × 0.98 λ0 × 0.096 λ0, impedance bandwidth of 600 MHz (5.56–6.16) GHz, which underscores its adaptability across a wide range of frequencies within the specified band. Furthermore, it elaborates the axial ratio bandwidth which extends over 130 MHz (5.77–5.90) GHz, showing the antenna's ability to maintain circular polarization characteristics over a significant frequency range with a gain of 8.87 dB. The experimental and simulation results confirmed a remarkable radiation efficiency of 95.62%, showing its superior effectiveness compared to any existing single-layer microstrip antenna.
Effect of Ozone and Low Power Laser as Therapeutic Alternatives on the Alveolar Repair Process After Tooth Extraction in Rats Wistar Exposed to Nicotine
Authors: Carvalho Thainy Oliveira , de Almeida Wilson Pereira , Palma Fabiano Rodrigues , Pilati Paulo Vinícius Fontanella , Zanardo Victoria , Chaves Anna Júlia Leduc , Pilati Sarah Freygang Mendes 
Published: February 2024

Abstract

The aim of this study was to evaluate the alveolar repair process in rats exposed to nicotine after tooth extraction, using ozonised water and low-power laser therapy (LPLT) as therapeutic adjuvants. Thirty Wistar rats (Rattus Norvegicus) were used and given the nicotine solution via subcutaneous tissue. After 7 days, the upper right central incisor was surgically extracted. Three days after the surgical procedure, the animals continued to receive nicotine until the day of euthanasia, totalling 21 days after extraction. The result was that the groups that received coadjuvant therapy had neoformed mature bone, unlike the group that did not receive it. Based on the literature and the results obtained, we can conclude that nicotine negatively influenced the healing process and bone repair in the alveoli; however, the use of ozonised water and LPLT, even in the presence of nicotine, was effective, as it enhanced the repair process, making them good options for surgical procedures in patients who smoke.
Relationship between dietary live microbe intake and the prevalence of COPD in adults: A Cross-Sectional Study of NHANES 2013-2018
Authors: He Baimei , Huang Qiong , Li Siqi , Nan Wenbin , Chen Qiong , Yu Qiao 
Published: February 2024

Abstract
Objective: To explore the potential association between dietary live microbes and the prevalence of Chronic Obstructive Pulmonary Diseases (COPD).
Methods:In this cross-sectional study, data of 9791 participants aged 20 years or older in this study were collected from the National Health and Nutrition Examination Survey (NHANES) between 2013 and 2018. Participants in this study were classified into three groups according to the Sanders’ dietary live microbe classification system: low, medium, and high dietary live microbe groups. COPD was defined by a combination of self-reported physician diagnoses and standardized medical status questionnaires. Logistic regression and subgroup analysis were used to assess whether dietary live microbes was associated with the risk of COPD.
Results: Through full adjustment for confounders, participants in the high dietary live microbe group had a low prevalence of COPD in contrast to those low dietary live microbe group (OR: 0.614, 95% CI: 0.474-0.795, and p < 0.001), but no significant association with COPD was detected in the medium and the low dietary live microbe groups. This inverse relationship between dietary live microbe intake and COPD prevalence were more inclined to occur in smokers, females, participants aged from 40-60 years old and non-obese participants.
Conclusion:A high dietary live microbe intake was associated with a low prevalence of COPD, and this negative correlation was detected especially in smokers, females, participants aged from 40-60 years old and non-obese participants.
An iterative method based on Simpson's 3/8 rule to solve absolute value equations
Authors: Rahpeymaii Farzad , Rostami ‎Majid 
Published: February 2024

Abstract

‎Generalized Newton's method is one of the important algorithms for solving absolute value equations‎. ‎In this paper‎, ‎we introduce a two-step method to improve the generalized Newton algorithm‎. ‎The first step of the new method is generalized Newton algorithm and the second step is based on Simpson's 3/8 rule‎. ‎Under some standard assumptions‎, ‎the convergence for the new method and its linear convergence are obtained‎. ‎Numerical results show that the new method is efficient and robust to solve‎ ‎absolute value equations‎.
Mathematics Subject Classification: 65K10, 90C30, 65F10, 65B99.
Desmoplastic Small Round Cell Tumor of the liver in an elderly male by 18F-FDG PET/CT: A Case Report
Authors: Mao Haijia , Huang Huizhen , Wang Dandan , Wei Jianguo , Zhao Zhenhua , Yang Jianfeng , Lu Zengxin 
Published: February 2024

Abstract
Background
Desmoplastic small round cell tumor (DSRCT) is a highly invasive malignant tumor; often occurs in adolescents aged 20-30. In general, the diagnosis and assessment of tumor has relied upon CT and/or MRI. Here, we conducted an in-depth analysis of DSRCT of the liver on 18F-FDG PET/CT in an aging male.
Case presentation
The patient underwent Computed tomography (CT) due to left abdominal pain, showing multiple liver masses. Magnetic resonance imaging (MRI) revealed multiple well-defined masses in liver with mixed high T1WI and low T2WI signal, accompanied by obvious enhancement. 18F-FDG PET/CT showed a mass of high uptakes in the hepatic and perihepatic hilum, indicating the malignance. He accepted percutaneous liver biopsy. Postoperative pathology showed that the mass was diagnosed as a highly malignant small round cell tumor.
Conclusions
DSRCT is a highly invasive sarcoma with poor prognosis. When the disease is found, it is often in the advanced stage. Early diagnosis is of great significance and has become one of the research directions of DSRCT in the future. The imaging diagnosis is suggestive but not specific, and the ideal treatment is not determined. 18F positron emission imaging (FDG-PET/CT) is more accurate in the diagnosis of DSRCT.
Bimodal Power Laplace Distribution
Authors: Sulewski Piotr 
Published: February 2024

Abstract

This article has two purposes. The first (main) goal is to introduce a new flexible distribution defined in an infinite domain. The distribution in question is named the bimodal power Laplace distribution. The second (additional) goal is a chronological overview of distributions belonging to the large family of Laplace distributions. Some properties of the BPL such as PDF, CDF, modal values, inflection points, quantiles, moments, Moors' measure, moments of order statistics and instructions to generate pseudo-random numbers are presented. The unknown parameters of the new distribution are estimated by the maximum likelihood method. The Shannon, Tsallis and Renyi entropies and Fisher Information Matrix are also presented. Illustrative examples of applicability and flexibility of the introduced distributions are given. The most important R codes and proofs of some theorems are given in the Appendix.
Behavioral impact of early smart device usage on toddlers: Importance of mother–child interaction
Authors: Chakranon Pairote , Huang Jian-Pei , Au Heng-Kien , Lin Chen-Li , Chen Yi-Yung , Mao Shih-Peng , Lin Wen-Yi , Zou Ming-Lun , Estinfort Wanda , Chen Yi-Hua 
Published: February 2024

Abstract

Background: In recent years, smart devices have become seamlessly integrated into human life. However, longitudinal studies focusing on their impact on toddlers are lacking. Accordingly, the present study examined the influence of early screen usage time and media content exposure on toddlers’ behavioral performance, along with the positive effects of mother–child interactions on this association.
Method: We analyzed 276 children born between November 2016 and July 2020 participating in an ongoing prospective follow-up study at five hospitals in Taipei, Taiwan. In particular, data from maternal reports regarding these the children’s conditions and parental self-reported data over postpartum years 1–3 were analyzed. Group-based trajectory modeling and multiple linear regression were employed for statistical analyses.
Results: Compared with a slight increase, a considerable increase in screen time during the ages of 1–3 was significantly associated with less favorable behavioral outcomes at age 3, including somatic complaints [adjusted beta coefficient (aβ) = 2.17, 95% confidence interval (CI) = 0.39–3.95], withdrawal (aβ = 2.42, 95% CI = 0.15–4.69), and aggressive behavior (aβ = 6.53, 95% CI = 0.25–12.81). This outcome was evident in children with relatively low mother–child interaction levels. Nevertheless, improved mother–child interactions alleviated most of the adverse effects. In addition, an increase in game and cartoon exposure was associated with less favorable behavioral outcomes in all children except those with positive mother–child interaction. Early mother-child interactions can mitigate behavioral issues in toddlers exposed to prolonged screen time and high game and cartoon content
Cervical internal carotid artery fenestration: A rare cause of lumen ‘’dissection’’
Authors: Pentara Natalia Valeria , Koutroulou Ioanna , Foinitsis Stefanos , Rafailidis Vasileios , Psoma Elisavet , Grigoriadis Nikolaos , Prassopoulos Panos , Karapanayiotides Theodoros 
Published: February 2024

Abstract

Cervical internal carotid artery fenestration (fcICA) is an extremely rare anatomic variation. Its embryological backround is merely a hypothesis and still not fully understood, causing many authors to question its existence and support the theory of an underlying pathologic mechanism such as dissection. Since distinction between ICA fenestration and pseudofenestration is usually not straightforward, patients should be examined carefully with all available imaging modalities to exclude potential subjacent arterial dissection. We present an interesting case of a 47-year-old woman with fcICA on the ground of fibromuscular dysplasia (FMD), who presented with ipsilateral pulsatile tinnitus.
Thelung ultrasound in children with SARS-COV 2 infection: a national multicenter prospective study
Authors: Supino Maria Chiara , Buonsenso Danilo , Agostiniani Rino , Gori Laura , Tipo Vincenzo , Morello Rosa , Monaco Giovanni Del , Falsaperla Raffaele , Biagi Carlotta , Cazzato Salvatore , Villani Alberto , Musolino Anna Maria , Scateni Simona , Ferro Valentina , Scialanga Barbara , Mesturino Maria Alessia , Boccuzzi Elena , D’Anna Carolina , Romagnoli Vittorio , Marino Silvia , Puxeddu Roberta , Martinelli Gaia 
Published: February 2024

Abstract

Covid-19 causedhospitalizations, severe disease and deaths in any age, including in the youngest children. The aim of this multicenter national study is to characterize the clinical and the prognostic role of lung ultrasound (LUS) in children with Covid-19. We enrolled children between 1 month and 18 years of age diagnosed with SARS-CoV2 infection and whounderwenta lung ultrasound within 6 hours from firstmedical evaluation. A total of 213 children were enrolled, 51.6%were male, median age was2 years and 5 months (IQR 4mm- 11 yearsand4 months).One hundred and fortyeight (69.4%) children were admitted in hospital, 9 (6.1%) in pediatric intensive care unit.We found an inverse correlation between the LUS score and the oxygen saturationatthe clinical evaluation (r = − 0.16; p = 0.019). Moreover, LUS scores were significantly higher in patients requiring oxygen supplementation (8 (IQR 3–19) vs 2 (IQR 0–4); p = 0.001). Among LUS pathological findings, irregular pleural line, sub-pleural consolidations and pleural effusions were significantly more frequentin patients whoneeded oxygen supplementation (p = 0.007; p = 0.006 andp = 0.001, respectively). Conclusion: This multicentric study confirmed that LUS is able to detect Covid-19 low respiratory tract involvement, which is characterized by pleural line irregularities, vertical artifacts and subpleural consolidations. Notably, children with higher LUS score have an higher risk of hospitalization or need for oxygen supplementation, supporting LUS as a valid and safe point-of-care first level tool for the clinical evaluation of children with Covid-19.
Knockdown siRNA targeting GPR55 reveals significant differences between the anti- inflammatory actions of KLS-13019 and cannabidiol
Authors: Brenneman Douglas E. , Kinney William A. , McDonnell Mark E. , Ippolito Michael J. , Ward Sara Jane 
Published: February 2024

Abstract

KLS-13019 was reported previously to reverse paclitaxel-induced mechanical allodynia in a mouse model of chemotherapy-induced peripheral neuropathy (CIPN). Recent studies demonstrated that paclitaxel-induced increases in inflammatory markers (GPR55, NLRP3 and IL-1b) of dorsal root ganglion (DRG) cultures were shown to be reversed by KLS-13019 treatment. The mechanism of action for KLS-13019-mediated reversal of paclitaxel-induced neuroinflammation now has been explored using GPR55 siRNA. Pretreatment of DRG cultures with GPR55 siRNA produced a 21% decrease of immunoreactive (IR) area for GPR55 in cell bodies and a 59% decrease in neuritic IR area, as determined by high content imaging. Using a 24-hour reversal treatment paradigm, paclitaxel-induced increases in the inflammatory markers were reversed back to control levels after KLS-3019 treatment. Decreases in these inflammatory markers produced by KLS-13019 were significantly attenuated by GPR55 siRNA co-treatment, with mean IR area responses being attenuated by 56% in neurites and 53% in cell bodies. These data indicate that the percentage decreases in siRNA-mediated attenuation of KLS-13019-related efficacy on the inflammatory markers were similar to the percentage knockdown observed for neuritic GPR55 IR area. Similar studies conducted with cannabidiol (CBD), the parent compound of KLS-13019, produced low efficacy (25%) reversal of all inflammatory markers that were poorly attenuated (29%) by GPR55 siRNA. CBD was shown previously to be ineffective in reversing paclitaxel-induced mechanical allodynia. The present studies indicated significant differences between the anti-inflammatory properties of KLS-13019 and CBD which may play a role in their observed differences in the reversibility of mechanical allodynia in a mouse model of CIPN.