Miracle-dz/UniFAR-FTUs huggingface dataset:
The Role of Osteopathic Care in Gynaecology and Obstetrics: An Updated Systematic Review

Background: Many efforts are made to find safer and more feasible therapeutic strategies to improve gynaecological care. Non-pharmacological treatments, such as osteopathic interventions, could be used as complementary strategies to better manage different gynaecological conditions. This review aims to report the effectiveness of osteopathic treatment in the gynaecology and obstetrics field, updating the previous review published in 2016. The secondary aim was to elucidate the role of somatic dysfunction (SD) in osteopathic assessment and treatment procedures, as well as their health and economic implications. Methods: An electronic search was conducted in the following databases: Embase, MEDLINE (PubMed), and Science direct. All types of clinical studies published between May 2014 and December 2021 have been included: randomised controlled trial (RCT), controlled before/after, interrupted time series quasi RCT, case controls, case reports, case series, observational, clinical studies involving any type of osteopathic treatment, (standardised, semi-standardised or patients’ need-based treatment) performed alone or in combination with other treatments, were included). Results: A total of 76,750 were identified through database searching and other sources. After the removal of duplicates, 47,655 papers were screened based on title and abstract. A total of 131 full-text articles were consequently assessed for eligibility. Twenty-one new articles were included in the synthesis. A total of 2632 participants with a mean age of 28.9 ± 10.5 years were included in the review. Conclusions: Results showed an effectiveness of osteopathic care in gynaecology and obstetrics, but the studies were too heterogeneous to perform quantitative analysis and make clinical recommendations. Nevertheless, osteopathic care could be considered a safe complementary approach to traditional gynaecological care.
COVID-19 Related Shifts in Social Interaction, Connection, and Cohesion Impact Psychosocial Health: Longitudinal Qualitative Findings from COVID-19 Treatment Trial Engaged Participants

While effective for slowing the transmission of SARS-CoV-2, public health measures, such as physical distancing and stay-at-home orders, have significantly shifted the way people interact and maintain social connections. To better understand how people sought social and psychological support amid the pandemic, we conducted a longitudinal qualitative evaluation of participants enrolled in a COVID-19 treatment trial (N = 30). All participants from the parent trial who consented to being contacted for future research studies were recruited electronically via email, and first-round virtual interviews were conducted between December 2020 and March 2021. Participants who participated in first-round interviews were contacted again, and follow-up interviews were conducted in January–February 2022. The results reported significant shifts in how participants connected to social support, including changes from physical to virtual modalities, and using different social networks for distinct purposes (i.e., Reddit/Facebook for information, WhatsApp for community connection). While having COVID-19, profound loneliness during isolation was described; yet, to mitigate effects, virtual support (i.e., emotional, knowledge-seeking) as well as in-person material support (e.g., groceries, snow-shoveling), were key. Public health efforts are needed to develop interventions that will improve the narratives about mental health challenges related to COVID-19 isolation, and to provide opportunities to share challenges in a supportive manner among social networks. Supporting social cohesion, despite the everchanging nature of COVID-19, will necessitate innovative multimodal strategies that learn from lived experiences across various stages of the pandemic.
Investigation of a New Natural Cellulosic Fiber Extracted from Beetroot Plant

ABSTRACT The fundamental aim of this study is to acquaint a novel sustainable cellulosic fiber obtained from beetroot plant for using in composite and textile industries. Natural cellulosic beetroot fibers were extracted from beetroot plant with biological degradation method. In order to determine the fiber properties, chemical, physical, and instrumental tests were carried out for fibers. The surface of samples was scanned using a scanning electron microscope (SEM). The elemental composition of fibers was analyzed with an energy dispersive X-ray analysis (EDX) device. Crystallographic properties of fibers were determined with X-ray diffraction (XRD) technique. Thermal degradation behavior of fibers was investigated with thermogravimetric analysis. SEM analyses show that the fibers have a cylindrical morphology and a 284.04-µm diameter. EDX analysis revealed that the fibers have 52.39% carbon and 47.46% oxygen. The XRD analysis indicates that beetroot fiber contains crystallinity index (Crl) of 87% and crystallite size (L) of 3.92 nm. According to the TGA analysis, the major degradation of fibers occurs at a temperature range of 288.09°C to 358.54°C. Mechanical characteristic of fibers was detected with tensile test, which provided information about strength, elongation, Young’s modules, and microfibril angle. The tensile strength, elongation, and Young’s modules of fibers are 50.68 MPa, 7.72%, and 6.56 GPa, respectively. The results show that mechanical behaviors and chemical characteristics of beetroot fibers are compatible with other cellulosic fibers.
Improved SAR Range Doppler Algorithm Based on The Stretch Processing Architecture

Synthetic aperture radar (SAR) imaging systems use pulse focusing techniques for achieving fine range resolution and large range detection, de-chirp (stretch) processing and correlation pulse focusing techniques are the most popular algorithms used in the radar signal processing stage. The architecture of the stretch processing technique makes it commonly used in frequency modulated continuous wave (FMCW) radar systems due to its simple architecture, low sampling rate, and inexpensive hardware. In this paper, using the stretch Range Focusing Approach instead of the matched filter technique in the processing stage of the SAR Range-Doppler Algorithm (RDA) can generate images of high quality. Hence, we evaluate the performance assessment of the two techniques according to some indices such as Peak Side Lobe Ratio (PSLR), Integrated Side Lobe Ratio (ISLR), and the Impulse Response Width (IRW). After that, validating the proposed algorithm and evaluating its performance based on the pre-mentioned evaluation indices.
Government Allocation and Economic Growth: An Empirical Evidence from States in Malaysia

Academic researchers are still interested in government fiscal management and its economic consequences. The impact of federal government fiscal policy on the economy has gotten a lot of attention. Nonetheless, little is known about state-level fiscal management. The main goal of this research is to investigate the relationship between state government fiscal and economic growth across Malaysia's states. We also investigate the economic impact of the federal government's contribution on each state's budget allocation. We identified disparities in federal funding. We use a panel dataset that spans 13 Malaysian states and ten years, from 2008 to 2017. We found that government spending drives growth in domestic products for most state governments using the panel autoregressive distributed lag (ARDL) model. The Granger causality test reveals that state government spending and federal allocation to states significantly impact Malaysian state economic growth. In general, our empirical evidence backs up Wagner's theory.
Exploring Content-Based and Meta-Data Analysis for Detecting Fake News Infodemic: A case study on COVID-19

The coronavirus pandemic (COVID-19) is probably the most disruptive global health disaster in recent history. It negatively impacted the whole world and virtually brought the global economy to a standstill. However, as the virus was spreading, infecting people and claiming thousands of lives so was the spread and propagation of fake news, misinformation and disinformation about the event. These included the spread of unconfirmed health advice and remedies on social media. In this paper, false information about the pandemic is identified using a content-based approach and metadata curated from messages posted to online social networks. A content-based approach combined with metadata as well as an initial feature analysis is used and then several supervised learning models are tested for identifying and predicting misleading posts. Our approach shows up to 93 % accuracy in the detection of fake news related posts about the COVID-19 pandemic.
ENERGY DISSIPATION OF STEEL-CONCRETE COMPOSITE BEAMS SUBJECTED TO VERTICAL CYCLIC LOADING

The finite element (FE) software ABAQUS was used to establish a 3D FE model and perform a pseudo-static analysis of steel–concrete composite beams. With the validated model, the influences of several key parameters, including shear connection degree, force ratio, and transverse reinforcement ratio, on seismic behavior were investigated and discussed. In addition, the working performance of studs was analyzed. The FE analysis results show that the steel girder is the main energy dissipation component of the composite beam, and the energy dissipation of the steel girder is more than 80% of the total energy. The next is longitudinal reinforcement, followed by a concrete slab, the minimum proportion is the studs. Results show that the energy dissipation ratio of studs is less than 1% under the condition of the parameters. However, an increase in shear connection is beneficial to improve the energy dissipation of steel girders and rebars. Shear connection, force ratio, and steel girder width–thickness ratio are the major factors that influence bearing capacity and seismic behavior. Transverse reinforcement, section form, and stud diameter are the secondary factors. Finally, a seismic design for composite beams was established.
Total laparoscopic versus laparoscopic-assisted transabdominal posterior mediastinal digestive tract reconstruction in the treatment of Siewert II adenocarcinoma of the esophagogastric junction: A retrospective study

Background The method of operation and the range of resection for Siewert II adenocarcinoma of the esophagogastric junction (AEG) remain controversial. This study aims to evaluate the safety, feasibility, and short-term postoperative effect of total laparoscopic versus laparoscopic-assisted transabdominal posterior mediastinal digestive tract reconstruction in the treatment of Siewert II AEG. Methods Total laparoscopic or laparoscopic-assisted gastrointestinal reconstruction through abdominal posterior mediastinum was performed in 108 patients with Siewert II AEG from October 2017 to February 2019. This study evaluated the loss of intraoperative blood, the number of lymph nodes, the marginal of the tumor, short-term postoperative complications (within 30 days), the rate of survival at follow-up, and the economic cost, feasibility, and effect of short-term postoperative recovery for patients who received these two operations. Result There were no significant differences in general data between the total laparoscopic group and the laparoscopic-assisted group (P > 0.05). However, the total laparoscopic group cost more time on the surgical procedure and digestive tract reconstruction, lost less intraoperative blood, and had more mediastinal lymph nodes compared with the laparoscopic-assisted group (P < 0.05). The total laparoscopic group was significantly better than the laparoscopic-assisted group compared with the short-term postoperative recovery indexes, such as the first exhaust time, the first defecation time, the first fluid time, the first semi-fluid diet time, the postoperative hospital stay, and other postoperative recovery indexes (P < 0.05). In addition, there were no significant differences in postoperative complications, postoperative pathological indexes, the recurrence rate, and mortality between the total laparoscopic group and laparoscopic-assisted group (P > 0.05). Conclusions The safety, feasibility, and short-term effect of total laparoscopic transabdominal posterior mediastinal digestive tract reconstruction in the treatment of Siewert II AEG were better than those for the laparoscopic-assisted group.
Digital Twins From a Networking Perspective

Digital twin (DT) has attracted a lot of attention from both industry and academia since it was proposed over a decade ago. A DT can be viewed as a virtual implementation of a real physical system (PS) and used as a representation of the PS for various applications. Despite the great potential of DTs in various fields, implementing DTs to obtain the desired functionality is not always straightforward. Specifically, accurate real-time synchronization between the features at a PS and its DT is essential for the DT to represent the PS. In this case, appropriate networking support is a key component to enable future DT development and applications. Currently, the research on DTs from a networking standpoint is still at an early stage, and only limited work has been done on DT implementation in practical systems. To fill this gap, this article investigates networking-related issues for DTs. Based on the existing literature, a feature-based method is provided for describing the desired properties and quality of DTs from the networking perspective. A stage-based implementation framework is presented for creating large-scale DTs for complex PSs by considering various networking constraints. Networking-related challenging issues and open research topics are discussed at the end.
An IoT smart system to ensure safety in industrial working environments through a 2.4 Ghz radio controllable interface

One third of humans' life is spent at work, therefore, the last decades have seen an increasing interest of companies in guaranteeing safety and security to employees in their plants, offices and industries. One of the paradigms that has mostly contributed to the transformation of the interest into real interventions is the Internet of Things that, thanks to its multitude of connected devices have enhanced various daily employees' routines and activities. Although different solutions have already been proposed to this aim they are usually focused on verifying the operation of the entire industrial plant without any specific attention to the respect of “micro”-measures, like the closure of a gate. In this paper we propose a modular architecture, designed within the SENERGY Project, with the aim of supporting the energizing and de-energizing of a set of industrial machines and guaranteeing, at the same time, the safety of workers in their maintenance duties. Specifically, the paper is focused on the exploitation of a remote device controllable through a 2.4 Ghz radio interface to both monitor the respect of specific safety measures and promptly intervene in case of necessity. A prototype is implemented through a commercial fast-prototyping device used to demonstrate the feasibility of the proposed solution and open up to future works.
Analysis Using Smoothing Via Penalized Splines as Implemented in LME() in R

ANALYSIS USING SMOOTHING SPLINES AS IMPLEMENTED IN LME() IN R John R. Howell Department of Statistics Master of Science Spline smoothers as implemented in common mixed model software provide a familiar framework for estimating semi-parametric and non-parametric models. Following a review of literature on splines and mixed models, details for implementing mixed model splines are presented. The examples use an experiment in the health sciences to demonstrate how to use mixed models to generate the smoothers. The first example takes a simple one-group case, while the second example fits an expanded model using three groups simultaneously. The second example also demonstrates how to fit confidence bands to the three-group model. The examples use mixed model software as implemented in lme() in R. Following the examples a discussion of the method is presented.
Limb Remote Ischemic Conditioning Promotes Neurogenesis after Cerebral Ischemia by Modulating miR-449b/Notch1 Pathway in Mice

Neurogenesis plays an important role in the prognosis of stroke patients and is known to be promoted by the activation of the Notch1 signaling pathway. Studies on the airway epithelium have shown that miR-449b represses the Notch pathway. The study aimed to investigate whether limb remote ischemic conditioning (LRIC) was able to promote neurogenesis in cerebral ischemic mice, and to investigate the role of the miR-449b/Notch1 pathway in LRIC-induced neuroprotection. Male C57BL/6 mice (22–25 g) were subjected to transient middle cerebral artery occlusion (MCAO), and LRIC was performed in the bilateral lower limbs immediately after MCA occlusion. Immunofluorescence staining was performed to assess neurogenesis. The cell line NE-4C was used to elucidate the proliferation of neuronal stem cells in 8% O2. After LRIC treatment on day 28, mice recovered neurological function. Neuronal precursor proliferation was enhanced in the SVZ, and neuronal precursor migration was enhanced in the basal ganglia on day 7. LRIC promoted the improvement of neurological function in mice on day 28, promoted neuronal precursor proliferation in the SVZ, and enhanced neuronal precursor migration in the basal ganglia on day 7. The neurological function score was negatively correlated with the number of BrdU-positive/DCX-positive cells in the SVZ and striatum. LRIC promoted activated Notch1 protein expression in the SVZ and substantially downregulated miR-449b levels in the SVZ and plasma. In vitro, miR-449b was found to target Notch1. Lentivirus-mediated miR-449b knockdown increased Notch1 levels in NE-4C cells and increased proliferation in the cells. The effects of miR-449b inhibition on neurogenesis were ablated by the application of Notch1 shRNA. Our study showed that LRIC promoted the proliferation and migration of neural stem cells after MCAO, and these effects were modulated by the miR-449b/Notch1 pathway.
Building the capacity for forecasting marine biogeochemistry and ecosystems: recent advances and future developments

Building the capacity for monitoring and forecasting marine biogeochemistry and ecosystem dynamics is a scientific challenge of strategic importance in the context of rapid environmental change and growing public awareness of its potential impacts on marine ecosystems and resources. National Operational Oceanography centres have started to take up this challenge by integrating biogeochemistry in operational systems. Ongoing activities are illustrated in this paper by presenting examples of (pre-)operational biogeochemical systems active in Europe and North America for global to regional applications. First-order principles underlying biogeochemical modelling are briefly introduced along with the description of biogeochemical components implemented in these systems. Applications are illustrated with examples from the fields of hindcasting and monitoring ocean primary production, the assessment of the ocean carbon cycle and the management of living resources. Despite significant progress over the past 5 years in integrating biogeochemistry into (pre-)operational data-assimilation systems, a sustained research effort is still needed to assess these systems and their products with respect to their usefulness to the management of marine systems.
Multi-Function Dual UWB Patch Antenna for Modern Communications

This paper proposes a new dual ultra-wideband microstrip patch antenna designed for 5G communications (sub-6 GHz and mm-wave), WiFi-5, WiFi-6, and 10 GHz applications. This design was introduced by inserting a circular slot on the top surface of a rectangular patch antenna and an E-shaped parasitic patch placed in the center of the circular slot. Also, a partial elliptical shape ground plane has been used to enhance the bandwidth of the antenna. The proposed antenna exhibits a dual ultra-wideband. The first band operates from 3.94 GHz to 19.6 GHz with 133.05% fractional bandwidth (FBW) covering (n80 and n77) sub-6 GHz 5G communication bands, the complete bandwidth of WiFi-5, WiFi-6, and both amateur radio and amateur satellite bands. While the second one operates from 20.82 GHz to 29.34 GHz with 33.97% FBW covering (n257, n258, n261) mm-wave 5G bands. The substrate material used in the proposed antenna is a low-cost FR4 substrate that has a relative permittivity of 4.4 and a dimension of 32 mm × 34 mm and 1.6 mm thickness. The obtained results of the proposed antenna have been simulated using HFSS software.
Performance analysis of the mechanical behaviour of seams with various sewing parameters for nylon canopy fabrics

Purpose The purpose of this paper is to make available to the parachute industry tools to predict behaviour of certain textile materials. In addition to this, it is desired to reveal and explain the basic requirement criteria for proper textile material selection. The strength of an assembly as a whole is directly dependent on the strengths of the various joints and seams required to assemble the larger structure. Keeping in mind the complex problem of parachute construction, this research seeks to enlighten the industry about the performance of seams in nylon woven canopy fabrics. Five factors have been studied: different types of weave (plain, rip-stop and twill), density (number of stitches per centimetre), different rows of stitches with lapped seams, different types of stitches (lock stitch, chain stitch and zig-zag) and seam direction (warp, weft and bias direction). Two responses have been analysed, the seam breaking force and the seam efficiency (per cent ratio of seam strength to fabric strength). The test results were subjected to an analysis of variance and the seam strength proved to vary significantly not only with the primary parameters, but with the interactions of the primary parameters as well. That is seam strength (and seam efficiency) changes with each primary parameter but it changes in a different manner when other parameters change. Multiple regressions have been used to construct preliminary predictor equations for seam strength and efficiency, and investigations to provide better equations are in progress. Design/methodology/approach ANOVA techniques and statistical regression equations were formed. Findings The work has concluded that twill weave 9 with chain stitch has the maximum seam strength, which makes canopies made with 2/1 twill weave and stitched with lapped seam with four rows of chain stitch optimum for heavy supply droppings with a single use parachute(s). It is evident from the results that twill weave with lock stich has the maximum seam efficiency. This makes the canopies stitched with twill fabric, constructed with lapped seams and four rows of stitches ideal for parachutes to be used multiple times. The brake parachutes on aircrafts and parachutes used by sky divers and air combat soldiers can use parachutes whose canopies can be used many times made out of the above mentioned weave and stitch specification. Originality/value Original work was conducted from the woven fabrics.