Miracle-dz/UniFAR-FTUs huggingface dataset:
Correlation between Acylcarnitine and Peripheral Neuropathy in Type 2 Diabetes Mellitus

Objective In patients with type 2 diabetes mellitus (T2DM), it is unknown whether acylcarnitine changes in the patient's plasma as diabetic peripheral neuropathy (DPN) occurs. The purpose of the present study was to investigate the correlation between acylcarnitines and DPN in Chinese patients with T2DM. Methods A total of 508 patients admitted to the First Affiliated Hospital of Jinzhou Medical University were included in this study, and all of whom were hospitalized for T2DM from January 2018 to December 2020. The diagnostic criteria for DPN were based on the 2017 Chinese Guidelines for the Prevention of Type 2 Diabetes. The contents of 25 acylcarnitine metabolites in fasting blood were determined by mass spectrometry. The measured acylcarnitines were classified by factor analysis, and the factors were extracted. To determine the correlation between acylcarnitines and DPN, binary logistic regression analysis was applied. Results Among the 508 T2DM patients, 270 had DPN. Six factors were extracted from 25 acylcarnitines, and the cumulative contribution rate of variance was 61.02%. After the adjustment for other potential confounding factors, such as other carnitines and conventional risk factors, Factor 2 was positively associated with an increased risk of DPN (OR: 1.38, 95% CI: 1.13-1.69). Factor 2 contained acetylcarnitine (C2), propionylcarnitine (C3), butylcarnitine (C4), and isovalerylcarnitine (C5). Conclusions Plasma levels of short-chain acylcarnitines (C2, C3, C4, and C5) were positively associated with DPN risk.
Algorithm for Robust Routing in Volatile Environments

Wireless sensor networks for environmental monitoring and distributed control will be deployed on a large scale in the near future. Due to the low per-node cost, these networks are expected to be both large and dense. However, because of the limited computation, storage, and power available to each node, conventional ad-hoc routing techniques are not feasible in this domain, and more novel routing algorithms are required. Despite the need for a sim- pler approach, routing in sensor networks still needs to be both robust to failures and secure against compromised and malicious nodes. We propose ARRIVE, a probabilistic al- gorithm that leverages the high node density and the inher- ent broadcast medium found in sensor networks to achieve routing robust to both link failures and patterned node fail- ures without resorting to periodic flooding of the network. Our algorithm is based on a tree-like topology rooted at the sink of the network, and nodes use localized observed be- havior of the surrounding nodes to make probabilistic deci- sions for forwarding packets. We have found that ARRIVE adapts to large patterned failures within a relatively short period of time at the cost of only moderate increases in over- all power consumption and source-to-sink latency.
Generative Model for Autoencoders Learning by Image Sampling Representations

The article substantiates a generative model for autoencoders, learning by the input image representation based on a sample of random counts. This representation is used instead of the ideal image model, which usually involves too cumbersome descriptions of the source data. So, the reduction of the ideal image concept to sampling representations of fixed (controlled) size is one of the main goals of the article. It is shown that the corresponding statistical description of the sampling representation can be factorized into the product of the distributions of individual counts, which fits well into the naive Bayesian approach and some other machine learning procedures. Guided by that association the analogue of the well-known EM algorithm – the iterative partition–maximization procedure for generative autoencoders is synthesized. So, the second main goal of the article is to substantiate the partition–maximization procedure basing on the relation between autoencoder image restoration criteria and statistical maximum likelihood parameters estimation. We succeed this by modelling the input count probability distribution by the parameterized mixtures, considering the hidden mixture variables as autoencoder’s internal (coding) data.
AEI-DNET: A Novel DenseNet Model with an Autoencoder for the Stock Market Predictions Using Stock Technical Indicators

Predicting stock market prices is an important and interesting task in academic and financial research. The volatile nature of the stock market means that predicting stock market prices is a challenging task. However, recent advancements in machine learning, especially in deep learning techniques, have made it possible for researchers to use such techniques to predict future stock trends based on historical financial data, social media news, financial news, and stock technical indicators (STIs). This work focused on the prediction of closing stock prices based on using ten years of Yahoo Finance data of ten renowned stocks and STIs by using 1D DenseNet and an autoencoder. The calculated STIs were first used as the input for the autoencoder for dimensionality reduction, resulting in less correlation between the STIs. These STIs, along with the Yahoo finance data, were then fed into the 1D DenseNet. The resultant features obtained from the 1D DenseNet were then used as input for the softmax layer residing inside the 1D DenseNet framework for the prediction of closing stock prices for short-, medium-, and long-term perspectives. Based on the predicted trends of the stock prices, our model presented the user with one of three suggested signals, i.e., buy, sell, or hold. The experimental results showed that the proposed approach outperformed the state-of-the-art techniques by obtaining a minimum MAPE value of 0.41.
Shaping of Hepatic Ischemia/Reperfusion Events: The Crucial Role of Mitochondria

Hepatic ischemia reperfusion injury (HIRI) is a major hurdle in many clinical scenarios, including liver resection and transplantation. Various studies and countless surgical events have led to the observation of a strong correlation between HIRI induced by liver transplantation and early allograft-dysfunction development. The detrimental impact of HIRI has driven the pursuit of new ways to alleviate its adverse effects. At the core of HIRI lies mitochondrial dysfunction. Various studies, from both animal models and in clinical settings, have clearly shown that mitochondrial function is severely hampered by HIRI and that its preservation or restoration is a key indicator of successful organ recovery. Several strategies have been thus implemented throughout the years, targeting mitochondrial function. This work briefly discusses some the most utilized approaches, ranging from surgical practices to pharmacological interventions and highlights how novel strategies can be investigated and implemented by intricately discussing the way mitochondrial function is affected by HIRI.
The Role of Clinical Features and Serum Biomarkers in Identifying Patients with Incomplete Lupus Erythematosus at Higher Risk of Transitioning to Systemic Lupus Erythematosus: Current Perspectives

Abstract Discovery of antinuclear antibodies (ANA) enabled earlier diagnosis of systemic lupus erythematosus (SLE) and other ANA+ connective tissue diseases (CTD). Rheumatologists increasingly encounter high referral volume of ANA+ patients. It has been estimated that only a small percentage of these patients will eventually transition to either SLE or other specified CTD. Incomplete lupus erythematosus (ILE) has been defined as a subset of patients who have some SLE-specific clinical manifestations but do not meet currently accepted classification criteria for SLE. Several studies have been performed with the goal of identifying clinical features, serum and tissue biomarkers that can distinguish those patients with ILE at risk of transitioning to SLE from those who will not. Increased autoantibody diversity, presence of anti-double-stranded DNA (dsDNA) antibodies, high expression of type I and type II interferon (IFN)-gene products, increased serum levels of B-cell-activating factor of the TNF family (BAFF), and certain serum cytokines and complement products have been identified as markers with positive predictive value, particularly when combined together. Once this patient population is better characterized biochemically, clinical trials should be considered with the primary objective to completely halt or slow down the transition from ILE to SLE. Hydroxychloroquine (HCQ) appears to be a promising agent due to its good tolerability and low toxicity profile and open-label studies in ILE patients have already shown its ability to delay the onset of SLE. Other therapeutics, like those targeting abnormal type I and type II IFN-signatures, B-cell specific signaling pathways, complement activation pathways and high BAFF levels should also be evaluated, but the risk to benefit ratio must be carefully determined before they can be considered.
A Twisted and Coiled Polymer Artificial Muscles Driven Soft Crawling Robot Based on Enhanced Antagonistic Configuration

Twisted and coiled polymer (TCP) actuators are becoming increasingly prevalent in soft robotic fields due to their powerful and hysteresis-free stroke, large specific work density, and ease of fabrication. This paper presents a soft crawling robot with spike-inspired robot feet which can deform and crawl like an inchworm. The robot mainly consists of two leaf springs, connection part, robot feet, and two TCP actuators. A system level model of a soft crawling robot is presented for flexible and effective locomotion. Such a model can offer high-efficiency design and flexible locomotion of the crawling robot. Results show that the soft crawling robot can move at a speed of 0.275 mm/s when TCP is powered at 24 V.
RESIDENTIAL CONSERVATION BEHAVIOURS AND ELECTRICITY LOAD

Research on behavioral energy savings in residential dwellings typically uses experimental or quasiexperimental methods to evaluate the impact of a specific behavioral treatment on energy savings, but relatively few studies have examined conservation behavior at the specific measure level. This paper reports on a detailed behavioral study of residential customers of BC Hydro in British Columbia, Canada. Using data collected from four annual surveys of residential customers, an extensive residential end use survey, and econometric modelling we applied the conditions, capacity and commitment model to twenty energy conservation behaviors covering six major end uses. Using a conditional demand model and engineering algorithms, the study also estimated behavioral energy savings at the end use level. The study found that average behavioral energy savings were 683 kWh per year or about six percent of annual electricity consumption. Finally, multivariate regression modelling supported the assumed validity of the conditions, capacity, and commitment framework because the regression coefficients on conditions and capacity had the expected positive signs, the regression coefficients were significant at the one percent level, and the regression had a reasonable degree of explanatory power.
Impact Of A Specifically Designed Antenatal Class For First-Time Fathers On Their Experience Of Childbirth

Purpose: Most fathers describe the experience of witnessing childbirth as very positive, but some feel unsupported and excluded. Offering specific antenatal classes for fathers could improve their experience. This study compares the childbirth experience of first-time fathers who attended specific antenatal classes for men (intervention group) with those who did not (non-intervention group). Methods: We performed a comparative study at a tertiary maternity hospital in Switzerland using First-Time Father Questionnaire (FTFQ) one month after childbirth. We assessed the satisfaction of the specific antenatal classes with a questionnaire with open and closed questions.Results: A total of 121 fathers for the non-intervention group and 52 for the intervention group completed the FTFQ. The score of two of the three dimensions of the FTFQ were significantly better: the professional support was reduced from 1.98 (SD = 0.52) in the non-intervention group to 1.69 (SD = 0.55) in the intervention group, p = 0.001; and the prenatal preparation from 1.70 (SD = 0.57) to 1.48 (SD = 0.51) respectively, p = 0.019. In the intervention group, 75% of fathers-to-be felt better prepared for the childbirth and 95% enjoyed the classes being for men only. The qualitative analysis of open questions showed positive experiences.Conclusions: Attending specific antenatal classes for first-time fathers improves the experience of childbirth. Their experience reported in terms of sharing and solidarity seems to be meaningful. Offering fathers-to-be a specifically dedicated space for expression is a way to support their transition to fatherhood.
Investigating school conditions for teachers’ professional learning and development in Indonesia

ABSTRACT Schools are expected to provide favourable conditions for teachers’ professional learning and development (PLD). Situated perspectives suggest that personal, professional and systemic conditions are influential for teacher PLD. Yet, supportive conditions for teachers’ PLD are limited for the majority of schools in regional Indonesia. Drawing on semi-structured interviews with teachers from three regional schools in Sulawesi Selatan, Indonesia, this article uncovers situated patterns of practices that shape school conditions for teachers’ PLD. Teacher participants indicated school norms, resources and facilities, school status and history, and students and principal leadership as influential for their PLD. Professional communication and interactions among teachers along with leadership by principals lay the foundation for favourable school conditions for PLD.
The Paradigm of T Cells in Shaping Tumor Microenvironment

The infiltration of immune cells in the tumor micro-environment is well-documented in cancer patients and the resultant complex interactions are determinants of disease prognosis. Consequently, a proper understanding of this interplay is essential for the development and advancement of therapeutic strategies as well as novel prognostic markers. The co-existence of immune cells with the tumor is often accompanied by an impaired immune response that creates a tumor-promoting micro-environment. T-cell mediated immunity forms the major branch of the immune system that is required to mount an effective response against nascent tumors. Major research in the last few decades indicates that a potent source of immunosuppressive cellular and molecular networks prevailing at the site of tumor is mediated by dysfunctional and defective responses mediated by T cell thereby redirecting and reshaping the destiny of T cell and promoting tumor progression. In this review, we aim to summarize the breakthrough advances in recent years that help us gain a better understanding of the immunosuppressive networks resulting from T-cell anergy, exhaustion, senescence and presence of Treg cells in the tumor micro-environment. We also focus on recent discoveries regarding advance in the Th17 balance, polyfunctionality of T cells as well as T cell stemness that improve our perception of the tumor-immunity interactions. We try to emphasize how such information has an impact on therapeutic development and the clinical outcome of the patients.
Prevalence of peri-implant diseases in fully edentulous patients restored with four implants supported fixed full arch prosthesis: a literature review

Restoring fully edentulous jaws with implant supported fixed prosthesis allows the restoration of function (phonetics and mastication), esthetics, and patients’ quality of life. This type of treatment is well validated by substantial body of scientific and clinical evidence (1-5). Implant 5–10-year survival rates supporting full-arch prosthesis can be as high as 98% (6,7). However, the focus of the older articles was implant osseointegration and overall survival, leaving some of the biologic complications unreported. Implant success has been re-defined, and newer evaluation parameters, such as soft tissue health, have been identified (8). Recent systematic review reported prevalence of peri-implant diseases of approximately 29% (9). This clearly highlights the importance of understanding peri-implant diseases, their cause, prevalence, and relationship between different types of prostheses. Peri-implant diseases have been classified into two major Review Article
ANALISIS IT GOVERNANCE DENGAN DOMAIN MEA01 DALAM PELAKSANAAN E-HEALTH MENGGUNAKAN KERANGKA KERJA COBIT 5 PADA DINAS KESEHATAN PROVINSI JAWA TENGAH

Teknologi Informasi memiliki peran yang sangat penting untuk mendukung tujuan pencapaian suatu kegiatan dalam organisasi mupun instansi. Apabila pemanfaatan TI sudah berjalan dan mampu berintegrasi dengan baik dengan organisasi, maka TI mampu mendorong terjadinya peningkatan kinerja organisasi. Untuk mendukungnya, dibutuhkan suatu kegiatan monitoring, evaluasi, dan penilaian kinerja suatu organisasi. Dinas Kesehatan Provinsi Jawa Tengah merupakan suatu instansi pemerintahan yang bertindak sebagai penyelenggara untuk penyediaan layanan kesehatan kepada masyarakat di daerah Jawa Tengah. Permasalahan yang pada Dinas Kesehatan Provinsi Jawa Tengah adalah dalam pelaksanaan kegiatan pengawasan dan evaluasi masih ditemukan beberapa kekurangan seperti kurang lengkapnya Standart Operational Procedure (SOP) mengenai detail proses pengawasan dan penilaian kinerja, proses tata kelola TI yang belum dilakukan secara menyeluruh, serta kurangnya pengawasan dalam peningkatan kebutuhan pemakaian e-health. Dari hasil studi dokumen, wawancara dan kuesioner berdasarkan COBIT 5 dihasilkan level kapabilitas tata kelola proses monitoring, evaluasi, dan penilaian kinerja dan kesesuaian (MEA01) saat ini adalah level 1 yaitu Performed, dengan tingkat pencapaian Largely Achieved sebesar 83,33% atau setara dengan 1,83 yang menunjukkan bahwa proses monitoring kinerja dan kesesuaian yang telah diimplementasikan berhasil mencapai tujuan instansi tetapi masih belum sepenuhnya dikelola dengan baik. Untuk mencapai level kapabilitas 2, dapat dilakukan strategi perbaikan secara bertahap dari proses atribut level 1 sampai 2. Kata kunci: COBIT 5, Analisis Tata Kelola TI, E-health, Proses Monitoring Evaluate and Assess Performance and Conformance (MEA01), Dinas Kesehatan Provinsi Jawa Tengah.
Green Synthesis of Gold, Iron and Selenium Nanoparticles Using Phytoconstituents: Preliminary Evaluation of Antioxidant and Biocompatibility Potential

This study aimed at fabricating gold (Au), iron (Fe) and selenium (Se) nanoparticles (NPs) using various natural plant extracts from the Fertile Crescent area and evaluating their potential application as antioxidant and biocompatible agents to be used in the pharmaceutical field, especially in drug delivery. The Au-NPs were synthesized using Ephedra alata and Pistacia lentiscus extracts, whereas the Fe-NPs and Se-NPs were synthesized using peel, fruit and seed extracts of Punica granatum. The phytofabricated NPs were characterized by the UV-visible spectroscopy, scanning electron microscope, Fourier transform infrared spectroscopy, X-ray diffraction (XRD) and energy-dispersive X-ray (EDS) spectroscopy. Scanning electron microscope technique showed that the synthesized NPs surface was spherical, and the particle size analysis confirmed a particle size of 50 nm. The crystalline nature of the NPs was confirmed by the XRD analysis. All synthesized NPs were found to be biocompatible in the fibroblast and human erythroleukemic cell lines. Se-NPs showed a dose-dependent antitumor activity as evidenced from the experimental results with breast cancer (MCF-7) cells. A dose-dependent, free-radical scavenging effect of the Au-NPs and Se-NPs was observed in the DPPH (2,2-Diphenyl-1-picrylhydrazyl) assay, with the highest effect recorded for Au-NPs.
USING BIOMETRICS TO IMPROVE INTERNET E-BUSINESS SECURITY: A NEW APPROACH

Over the past five years, there has been an upsurge in the application and use of biometrics authentication systems on varied IT infrastructure. Today for example, biometric identification and authentication is widely used in airport security, border controls and corporate network security. Most importantly, and in the quest for a more advanced security system to cater for the present day internet e-business environment, the use of biometrics has come to prominent focus. However, using biometrics across insecure communication networks such as the internet has enormous implications and brand new challenges; especially in the wake of increasing and highly sophisticated cyber-crimes such as Identity theft and phishing. The bigger question then arises, what happens when a user's biometrics information is stolen online? This paper proposes a two-layered e-biometric identification and authentication model that aims to prevent the fraudulent used of stolen or spoofed biometrics data. Keyword - Biometrics, Two-layered e- biometrics model, BioDater Security Model (BDSM), Internet e-business Security, Biometric security, identification and authentication, Information Systems security, Cybercrime, e-crime, Identity theft and Phishing.
MIMO signal design, channel estimation, and symbol detection

The aim of this thesis is to investigate multiple input multiple output (MIMO) techniques from the reception algorithms, i.e., channel estimation, symbol detection, and interference suppression, to the advanced spatial modulation (SM) transmission schemes, i.e., the signal constellation design for high performance and energy efficiency. In the reception algorithms, the proposed schemes are derived based on the detection theory, i.e., maximum likelihood (ML), linear minimum mean square error (MMSE), successive interference cancellation (SIC), combining with the statistical analysis, i.e., Bayesian linear regression and Bayesian model comparison, in order to deal with the channel uncertainty, i.e., fading, correlations, thermal noise, multiple interference, and the impact of estimation errors.In the transmission schemes, the signal constellations are targeted to find a good trade off between the average transmit energy and the minimum Euclidean distance in the signal space. The proposed schemes, denoted by enhanced SM (ESM), introduce novel modulation/antenna combinations and use them as the information bits for transmission. The number of those combinations is the double or the quadruple of the number of active antenna indices (or index combinations) in conventional SM systems, and this increases the number of bits transmitted per channel use by one or two.The results of simulations show that good system performance can be achieved with the advanced MIMO techniques. Several examples are presented in this thesis to provide insights for the MIMO system designs.