Miracle-dz/UniFAR-FTUs huggingface dataset:
Effectiveness of Music Therapy Against Decreased Pain Levels Post-Heart Surgery: Scoping Review

Heart disease is one of the major health problems worldwide, with common terms defined as coronary heart disease (CHD), peripheral artery disease, rheumatic heart disease, congenital heart disease, and venous thromboembolism, thus globally heart disease accounts for 31% of deaths. The increase in the incidence of heart disease in adults aged less than 20 years was overall 48% (121.5 million). The surgical procedure will certainly be associated with the patient's sensation of the pain felt. Inadequate pain management may delay postoperative recovery. Music therapy is defined as the use of music in clinical interventions that aim to fulfil physical, emotional, social, and cognitive needs. This study was aimed to conduct a review of the current novelty of the effectiveness of music therapy against decreased pain levels post-heart surgery. The literature search method uses the PubMed, EBSCO, ProQuest, and Science Direct databases. The total search result was 1,289 articles, five articles met the criteria for inclusion in the author's review. The conclusion of the review of the five articles that the administration of music therapy has a significant influence on the decrease in pain intensity, taking into account the focus on parts such as the length of music therapy action given for 30 minutes and the choice of music favoured by the patient, thus giving maximum effect during recovery. Abstrak: Penyakit jantung merupakan salah satu masalah kesehatan utama diseluruh dunia, dengan istilah umum yang didefinisikan sebagai penyakit jantung koroner (PJK), penyakit arteri perifer, penyakit jantung rematik, penyakit jantung kongenital dan tromboemboli vena, sehingga secara global penyakit jantung menyumbang 31% kematian. Peningkatan kejadian penyakit jantung pada orang dewasa dengan usia kurang dari 20 tahun adalah secara keseluruhan 48% (121,5 juta). Prosedur bedah yang dilakukan tentunya akan dikaitkan dengan sensasi pasien terhadap nyeri yang dirasakan. Manajemen nyeri yang tidak memadai dapat menunda pemulihan pasca operasi. Terapi musik didefinisikan sebagai penggunaan musik dalam intervensi klinis yang bertujuan sebagai upaya pemenuhan berupa kebutuhan fisik, emosional, sosial, dan kognitif). Tujuan penelitian adalah untuk melakukan tinjauan kebaruan saat ini tentang efektivitas terapi musik terhadap penurunan tingkat nyeri pasca operasi jantung. Metode pencarian literatur menggunakan database PubMed, EBSCO, ProQuest dan Science Direct. Hasil total pecarian sebanyak 1.289 artikel, terdapat lima artikel yang memenuhi kriteria inklusi dalam ulasan penulis. Kesimpulan ulasan dari kelima artikel bahwa pemberian terapi musik memiliki pengaruh yang signifikan dalam penurunan intensitas nyeri, dengan memperhatikan fokus pada bagian seperti lamanya tindakan terapi musik yang diberikan selama 30 menit dan pilihan musik yang disukai oleh pasien, sehingga memberikan efek maksimal selama pemulihan.
ARei: Augmented-Reality-Assisted Touchless Teleoperated Robot for Endoluminal Intervention

Current robotic endoluminal interventions require surgeons to hold a proximal joystick to control the distal flexible robot under 2-D X-ray guidance. However, the 2-D X-ray image is not intuitive, which not only increases the risk of surgical misoperation but also the workload of surgeons. Moreover, contact teleoperation exposes surgeons to the potentially infectious environment. To address it, this article proposes an augmented-reality-assisted touchless teleoperated robot for endoluminal intervention, called ARei. It aims to provide immersive experiences with augmented information. The robot integrates perceptual information obtained from an electromagnetic (EM) sensor, a shape sensor, and the virtual anatomy into a head-mounted display (HMD). The touchless teleoperation is used to control the robot, with the assistance of gesture recognition technology. Results show that the mean error of the calibration between the HMD and the EM tracking system is 4.67 mm, and the mean distance error between the points measured by the EM sensor and the points obtained by shape reconstruction with calibration is 5.19 mm (3.05%).
A Guide for Systems Engineers to Finding Your Role in 21st‐Century Software‐Dominant Organizations

The decision makers in many software‐dominant organizations, such as the FAANGs (Facebook, Apple, Amazon, Netflix, and Google), evolved quickly from coders and software engineers unfamiliar with the advantage of the big‐picture view of the software and of the organizations developing the software. INCOSE's Systems and Software Interface Working Group (SaSIWG) has been reading a fable of such an organization that found itself in a typical terrible state, unable to respond quickly and effectively to customer needs, because it was tied up in a complex mess of silos, dependencies, management rules, and blame. While the book has garnered praise as the answer to many software organizations’ problems, it quite significantly omits any mention of systems engineering as well as much positive mention of architecture or project management.
Volunteering among pre-clinical medical students: Study of its association with academic performance using institutional data

Background: Participating in volunteering activities during students’ higher education experience is becoming more commonplace. Studies have noted that volunteering has a positive impact on the academic performance of undergraduate medical students. However, most of these studies rely on self-reported data like surveys, interviews, and journals. In this study, we leverage actual institutional data to examine the relationship between volunteering and academic performance among medical students in the pre-clinical phases of the Bachelor of Medicine and Bachelor of Surgery (MBBS) program. The current study also explores the factors that might influence students’ volunteering behaviours. Methods: Analysis based on retrospective data was conducted in the College of Medicine at the Mohammed Bin Rashid University of Medicine and Health Sciences (MBRU) in Dubai, United Arab Emirates. Three years of volunteering records for three cohorts of undergraduate medical students enrolled in the MBBS program between 2016 – 2018 were reviewed and analyzed to complete this study. The correlation between the annual Grade Point Average (GPA) and volunteering was studied across the three cohorts in each study year. Results: Analysis of 153 undergraduate medical students' volunteering records revealed a significant positive relationship between the annual GPA and the number of volunteering in year two. The correlation was insignificant in year one, year three, and across the three cohorts. Conclusions: The association between academic performance and volunteering among undergraduate medical students appeared to be positive. However, this relationship differs across the pre-clinical study years and is likely influenced by factors associated with volunteering that might influence GPA.
Marketplace as A Determination Factor for Customer Satisfaction

The research aims to analyze the main factor determining Chinese Smartphone Customer Satisfaction. The population of this research were all customers who purchased Chinese smartphones in Surakarta, Semarang, Pemalang, Purworejo, Grobogan. The sampling technique used purposive sampling by taking 200 official store customers and 200 black-market customers. The data collection method was a survey by personal questionnaire with an data analysis used multiple linear regression and different tests (independent sample T-test). The results obtained several findings that the price perception, product quality, and marketplace significantly affect customer satisfaction. Finally, there are differences in customer satisfaction felt purchased Chinese smartphones in the official store with the black market. Keywords— Chinese smartphone; Customer Satisfaction; Product Quality; Price Perception; and Marketplace.
SDN Integrated 5G Network Architecture: A Review, Benefits and Challenges

The scenario of modern day internet communication system has been changed drastically. Billions of hyper connected devices carrying huge amount of information on either side. Next generation devices are much of IoT enabled and automotive in nature demands much higher data speed with low latency. In addition, these modern tech shifts need such a network, which is much flexible, radio resource effective, dynamic, programmable and simplified in nature. Several exertion has been carried out to establish a next generation network architecture, which are operator centric. 5G technology deployment with full IP connectivity has been done in some countries but not flawless. Evolved Packet Core (EPC) associated with 3GPP release 15 has been orchestrated. In this context, we will inspect a decentralized 5G architecture, which is accredited with Software Defined Networking (SDN) and Virtualized Network Function (VNF). A cloud based distributed architecture with dispute is manifested. A comprehensive study of research work so far has been accumulated in the context of architecture, network management and functionality.
Tendon blood flow, angiogenesis, and tendinopathy pathogenesis

Physical exercise results in a duration and intensity‐dependent vascular response in healthy human tendon. In overused (tendinopathy) and damaged tendon, angiogenic pathways are activated and neovascularization is observed. Whereas no direct relationship exists between the amount of neovessels and degree of tendinopathy symptoms, almost all tendinopathic patients have elevated neovascularization and tendon blood flow, as assessed by Doppler ultrasound methodology. The enhanced flow in tendinopathy can be successfully abolished by heavy resistance training. Already in the early time‐phase of tendinopathy (<3 months), neovascularization in the tendon exists but the causal sequence of vascular, metabolic, nociceptive, and matrix tissue changes in tendon pathology is not fully understood. Nevertheless, existing evidences point at neovascularization being an important component of pathogenesis and may occur already before the development of clinical symptoms in tendinopathy.
Puunkorjuuyrittäjien ja -työntekijöiden työn vaatimukset ja koettu työkyky metsätoimialan rakennemuutoksessa

Metsätoimialan rakennemuutoksessa puunkorjuutyö on organisoitunut laajavastuiseksi palveluliiketoiminnaksi, ja työn sisältö sekä vaatimukset ovat muuttuneet. Tämän tutkimuksen tarkoituksena oli selvittää puunkorjuun ammattihenkilöiden työn vaatimusten yhteyttä koettuun työkykyyn. Sähköiseen kyselytutkimukseen osallistui 322 henkilöä, joista 87 oli metsäkoneyrittäjiä ja 235 metsäkoneenkuljettajia. Analyysimenetelminä olivat Mann-Whitney U -testi, eksploratiivinen faktorianalyysi ja logistinen regressioanalyysi. Työkykyä arvioitiin seuraavilla kolmella kysymyksellä: Minkä pistemäärän annat työkyvyllesi tällä hetkellä verrattuna elinikäiseen parhaimpaan? Millaiseksi arvioit työkykysi työn henkisten vaatimusten kannalta? Millaiseksi arvioit työkykysi työn ruumiillisten vaatimusten kannalta? Tutkimuksen teoreettisena viitekehyksenä oli työn vaatimukset ja voimavarat -malli. Tutkimukseen osallistuneista runsaalla kolmanneksella työtehtävät olivat muuttuneet viimeisen kolmen vuoden aikana. Myönteinen muutoskokemus oli yhteydessä hyvään työkykyyn. Tulosten mukaan työn kuormittavuuden ja epävarmuuden sekä tehokkuusvaatimusten ja vastuiden lisääntyminen lisäsivät heikentyneeksi koetun työkyvyn todennäköisyyttä. Työn ja yritysten toimintaympäristön muuttuessa ovat työn vaatimusten ennakointi ja tunnistaminen sekä työn yhteistoiminnallinen kehittäminen perustellusti työkyvyn tukemisen painopistealueita.
Energy‐aware intelligent hybrid routing protocol for wireless sensor networks

Designing a wireless sensor network (WSN) energy‐aware routing protocol is a thought‐provoking mission. Thus, this article presents an energy‐saving routing protocol for WSNs. The proposed protocol considers the energy level of sensor nodes and the distance to the base station to optimally determine the best route. It also takes advantage of the inherent complementarity of clustering techniques. The proposed routing scheme also exploits data aggregation to improve energy utilization and reduce communication costs. To choose the flawless route between a source node and the base station, ant colony optimization and A* algorithms are integrated. Finally, the performance of the proposed routing technique is compared with those of other existing up‐to‐date protocols. The results show that the proposed routing protocol outperforms them in terms of total energy consumption, network lifetime, stability period, and goodput.
A NOVEL DECISION-MAKING FRAMEWORK BASED ON PROBABILISTIC LINGUISTIC TERM SET FOR SELECTING SUSTAINABLE SUPPLIER CONSIDERING SOCIAL CREDIT

Sustainable supplier selection (SSS) has become an essential task for decision-makers in competitive environments. We construct a new decision-making framework for SSS. First, classical SSS usually includes fixed factors in environmental, social and economic dimensions. Differently, we adopt new social factors from credit perspective with corporate social credit system being promoted vigorously by the Chinese government. Next, we employ probabilistic linguistic term sets (PLTSs) to collect experts’ judgments about interactive influence between factors. Third, we combine PLTSs with Decision Making Trial and Evaluation Laboratory (DEMATEL) method to identify critical success factors (CSFs) for improving decision-making efficiency. And we also give definition to relative importance degree, standard relative importance degree, deviation of importance degree and influence degree to reflect the interactive influence between factors. To eliminate subjective influence, we combine entropy weighting approach and DEMATEL to compute weights. Fourthly, we redefine dominance degree and apply it into TODIM method for SSS. Finally, the proposed decision-making framework’s effectiveness is verified by using the case study of a new energy vehicle (NEV) company. Based on this, sensitivity analysis and comparison of methods are conducted. The results verify that the decision-making framework is valid and effective for SSS.
Block-Wise Variable Selection for Clustering Via Latent States of Mixture Models

Abstract Mixture modeling is a major paradigm for clustering in statistics. In this article, we develop a new block-wise variable selection method for clustering by exploiting the latent states of the hidden Markov model on variable blocks or the Gaussian mixture model. The variable blocks are formed by depth-first-search on a dendrogram created based on the mutual information between any pair of variables. It is demonstrated that the latent states of the variable blocks together with the mixture model parameters can represent the original data effectively and much more compactly. We thus cluster the data using the latent states and select variables according to the relationship between the states and the clusters. As true class labels are unknown in the unsupervised setting, we first generate more refined clusters, namely, semi-clusters, for variable selection and then determine the final clusters based on the dimension reduced data. Experiments on simulated and real data show that the new method is highly competitive in terms of clustering accuracy compared with several widely used methods. Supplementary materials for this article are available online.
Contralateral Prophylactic Mastectomy Improves Survival Only Marginally in Patients with Unilateral Triple-Negative Breast Cancer: A Cohort Study Based on SEER Database

Background: The effect of contralateral prophylactic mastectomy (CPM) on the survival rate of triple-negative breast cancer (TNBC) patients is still controversial. The purpose of this study was to confirm whether unilateral TNBC patients benefit from CPM.Methods: 10006 patients with unilateral TNBC in the Surveillance, Epidemiology and End Results (SEER) database were enrolled in this study, propensity score matching (PSM) was applied to balance patient assignments. After PSM,3039 pairs of patients were divided into a CPM group and no-CPM group, respectively. All the patients have undergone total mastectomy or radical mastectomy. Cox proportional hazards regression models were used to evaluate overall survival (OS) and breast cancer-specific survival (BCSS) of the two groups. Subgroup analysis was introduced to exclude the effect of confounding factors. To identify potential variables for prognosis, Kaplan–Meier survival analysis and Cox regression analysis were used and were presented by Kaplan–Meier curve and forest plot separately.Results: With a median follow‐up time of 34.5months (IQR 1–83 months), the estimated 5-year BCSS rates for patients in the CPM group and the no-CPM group were 81.96% and 78.71%, the 5-year OS rates were 80.10% and 75.05%, respectively. CPM improved the BCSS (hazard ratio [HR]= 0.79; 95% confidence interval [CI]=0.69-0.90, p=0.001) and OS (HR= 0.74; 95% CI=0.66-0.84, p<0.001) of unilateral TNBC patients. Univariate subgroup analyses revealed that there was no significant difference in survival time for patients in stage N3 who underwent CPM or not (p>0.05). Conclusions: CPM only limitedly improved BCSS and OS in patients with unilateral TNBC undergoing total mastectomy or radical mastectomy and was not recommended for stage N3 patients.
Comparative Phytochemical Profiling of Garlics (Allium sativum L.) and Onion (Alium cepa L.)

Aims: This research aims to perform the extraction of garlic samples and onion as well as to carry out qualitative phytochemical screening by using Thin Layer Chromatography (TLC) and phytochemical analyses for the detection of carbohydrates, flavonoids, and alkaloids. Study Design: Thin Layer Chromatography (TLC) and some preliminary qualitative phytochemical tests to detect the presence of carbohydrates and reducing sugars, flavonoids, and alkaloids were carried out to compare and identify the chemical compositions in black and white garlic as well as onion. Place and Duration of Study: Pharmaceutical Chemistry Department laboratory, Faculty of Pharmacy Universiti Teknologi MARA Puncak Alam. The whole study was conducted and completed in 12 months. Methodology: Black garlic (BG) is derived from raw white garlic (WG) that is modified by treating it with highly controlled temperature and humidity. In addition to the black and white garlic powder samples, this comparative study was also performed on smoked garlic and onion. The extraction of black garlic (BG), white garlic (WG), crushed smoked garlic (CSG), and onion was performed by using ethanol and ethyl acetate. The comparative phytochemical profiling was conducted by using TLC and qualitative phytochemical analyses were done using standard methods. Results: The presence of amino acid in the ethanolic extracts of black garlic (BG), crushed smoked garlic (CSG), and onion were detected. Ethyl acetate extracts might contain triterpene. Phytochemical screening tests showed the presence of reducing sugars and alkaloids in ethanolic extracts of black garlic (BG), while white garlic (WG) contains flavonoids, alkaloids, and a trace amount of carbohydrates. Both extracts of onion showed the presence of carbohydrate, reducing sugars and flavonoids. Meanwhile alkaloids are only detected in ethanolic extract of onion. Conclusion: The extracts of garlics and onion samples in this study had shown appreciable presence of some important phytochemical compounds in Allium species such as amino acids, flavonoids, alkaloids and carbohydrates.
Distribution Patterns of Floating Microplastics in Open and Coastal Waters of the Eastern Mediterranean Sea (Ionian, Aegean, and Levantine Seas)

Microplastic pollution is a pervasive anthropogenic phenomenon at the ocean surface. Numerous studies have been performed worldwide; nevertheless, the distribution patterns, morphological properties, and sources of origin in the Eastern Mediterranean Sea are still poorly explored. The purpose of this study is to investigate the distribution patterns of surface floating microplastics (MPs) in the Ionian, Aegean, and Levantine Seas in relation to their sources and sea surface circulation. In total, eighty-four samples were collected using manta nets from 2014 to 2020, covering open waters, coastal waters, and enclosed gulfs (Corfu and Saronikos). MPs concentration measurements revealed high variability ranging from 0.012 to 1.62 items m–2 and did not present maximum concentrations close to MPs hotspot areas. The presence of sea surface slicks, as recorded visually during our samplings, seems to play a key role on the distribution pattern of MPs, and highest concentrations were recorded in samples affected by these formations. The dominant MPs shape type identified were fragments (50–60%), whilst filaments (1–23%), films (3–26%), and foams (0–34%) varied among the studied areas. The majority of MPs in open waters had sizes ≤2 mm peaking between 0.6 and 1.4 mm. Spectroscopic analysis of MPs revealed the presence of 11 polymer types in both open sea and gulfs; the most abundant type was polyethylene (PE), followed by polypropylene (PP), and polystyrene (PS). The relative abundance of polymer types was more diverse in Saronikos Gulf, compared to the open sea due to the proximity to major urban and industrial sources. Our findings suggest that the vicinity to coastal population centers determined the properties, size and polymer types of MPs and highlight that MPs concentrations are affected significantly by local oceanographic conditions, such as surface slicks.
Actuating Compact Augmented Reality Devices by Artificial Muscle

An artificial muscle actuator resolves practical engineering problems in compact wearable devices, which are limited to conventional actuators such as electromagnetic actuators. Abstracting the fundamental advantages of an artificial muscle actuator provides a small-scale, high-power actuating system for developing varifocal augmented reality (AR) glasses and naturally fit haptic gloves. Here, we design a shape memory alloy (SMA)-based lightweight and high-power artificial muscle actuator, the so-called compliant amplified SMA actuator (CASA). Despite its light weight (0.22 g), the CASA has a high power density of 1.7 kW/kg and an actuation strain of 300%. We show how CASA enables image depth control and an immersive tactile response in the form of AR glasses and haptic gloves whose thin form factor and high power density can hardly be achieved by conventional actuators.