Miracle-dz/UniFAR-FTUs huggingface dataset:
Rationale for Neoadjuvant Chemotherapy of Resectable Colorectal Cancer Liver Metastases: When is it Useful?

Colorectal cancer is the third most common cancer and the third leading cause of cancer death in the United States (1). Moreover, approximately 20% of patients are diagnosed with synchronous colorectal liver metastases (CRLMs)(2). For patients with CRLM, the 5-year survival rate with after chemotherapy alone is approximately 11 percent (3). However, the 5-year and 10-year survival rates after surgical resection are reported as 38% and 26%, respectively (4). Therefore, surgery is considered a potentially curative intervention in CRLM. Unfortunately, not all CRLM patients are candidate for liver resection due to several factors.These include medical comorbidities and anatomical factors such as the number of metastases, tumor size and margin. In some cases, chemotherapy for unresectable tumors could convert the tumors to resectable. In other cases, neoadjuvant chemotherapy can help patients with synchronous metastatic disease undergo performed staged resection. Although neoadjuvant chemotherapy could be useful, its implementation is not yet standard and its use in resectable CRLM remains controversial. This review article focuses on the potential utility of neoadjuvant therapy for CRLMs.
Time Series Analysis based Machine Learning Classification for Blood Sugar Levels

Diabetes is a chronic disease that requires lifelong treatment to keep blood sugar at a normal level. Hyperglycemia (high blood sugar) and hypoglycemia (low blood sugar) are critical blood glucose levels that should be monitored during the treatment. Alerting the patient when the blood glucose is at critical levels may minimize possible complications that may occur. Therefore, it was aimed to classify critical blood glucose levels with machine learning algorithms in this study. The performance of the classifiers has been tested with synthetic and real data. Synthetic data were created by adding noise to the sinusoidal wave while real data were obtained from diabetic patients. Features were extracted using the time series analysis method as the data is time-dependent. Machine learning algorithms were trained with these extracted features and blood glucose was classified in 5 levels (hypoglycemia, pre-hypoglycemia, normal, pre-hyperglycemia and hyperglycemia) with 95.12% accuracy.
Relationship between Narcissism and Emotional Competence: A Review

Narcissism is a condition in which people have an inflated sense of their own importance, a deep need for excessive attention and admiration. Emotional intelligence refers to the ability to identify and manage one's own emotion as well as the emotions of others. This research paper aims to review that Narcissism and emotional competence are not inconsistent with each other. Researches show that narcissist have an increased ability to recognize the emotions and can manipulate the emotions of others for their own benefit. Emotional recognition abilities can be associated with desirable and undesirable traits. Prior researches on this topic has produced inconsistent findings. This paper attempts to resolve these inconsistencies and provide a new dimension by supportive researches that narcissist are high in emotional competencies.
2020 Special Issue: Enabling Excellence Through Equity

The Enabling Excellence through Equity Conference 2019 was held at the University of Wollongong, Australia from 24th to 27th November 2019. This was a combined biennial conference for the National Association of Enabling Educators of Australia (NAEEA) and the Equity Practitioners in Higher Education in Australasia (EPHEA). The Conference attracted higher education educators, practitioners and researchers from around the world involved in enabling education, widening participation and pathways to higher education, and equity initiatives that promote access to higher education. This special issue contains a selection of the papers as selected by the guest editors Dr Pranit Anand, Jacinta McNamara and Professor Liz Thomas.
Validation of the outcomes tools for urinary incontinence in Nursing Outcomes Classification system and their sensitivities on nursing interventions

Introduction Nurses perform the nursing care plan and then assess the executed plan in a systematic process (1). In literature, it is stated that in this systematic process, the results improve their objectivity and accuracy if they use the classification systems while considering a client’s health condition and revealing his/ her needs (2). These classification systems provide the coding of the data, inserting them into databases as systematized and certifying the nursing process. In this process, they allow the nurses to give the right decision making, to assess with quantitative data and to select the accurate interventions (3). Among many of the nursing classification systems that are constituted for international usage, NANDA-I in making diagnoses, Nursing Outcomes Classification (NOC) in assessing severity of the issue and patient outcomes and Nursing Interventions Classification (NIC) for nursing interventions are the most used classification systems (4-7). NANDA-I is used actively in Turkey during both nursing education and practice, but NIC and especially NOC systems are not used during education and execution yet (7). NOC, developed by Iowa University Research team in 1991, is a standard classification system that allows nurses to assess DOI: 10.4274/gulhane.galenos. 2019.757 ORIGINAL ARTICLE
Filial piety as a protective factor against burden experienced by family caregivers of diabetic patients in Hong Kong

ABSTRACT This study aimed to investigate how filial piety might bear on care burden experienced by Chinese family caregivers of people with type 2 diabetes (T2DM) in Hong Kong. Altogether 150 Chinese family caregivers participated in the survey by completing the Caregiver Burden Inventory, Caregiving Difficulty, and Contemporary Filial Piety Scale and answering some demographic questions. The results indicate that family caregivers of people with T2DM experience more difficulty in social caring than in daily caring and physical caring and their burden mainly centers around the time pressure of being preoccupied with the caregiving work. Caregiver burden is indicated positively by caring difficulty and caregiver’s age and negatively by filial piety. It appears, therefore, that nurturing, treasuring this traditional Chinese value may alleviate burden and stress relating to caring for Chinese family members with T2DM.
The FSHR Polymorphisms Association With Polycystic Ovary Syndrome in Women of Erbil, Kurdistan in North of Iraq

Polycystic ovary syndrome (PCOS) is an endocrine disorder in women during fertilization age that reflects changing clinical symptoms. The genetic concept of PCOS is unclear and no significant genetic association with PCOS has been established. The level of Follicle stimulating hormone FSH is encoded by FSH receptor (FSHR) and abnormal FSHR affects follicle cogenesis and ovary and consist of 9 introns, 10 exons, and the region of chromosome promoter at 2p21. Sample of 93PCOS patients and 52 controls were collected from Province of Erbil in north of Iraq. Genomic DNA was extracted from the blood and genotype dissected was improved for the two population of study using PCR-RFLP with the restriction enzyme Eam1105I. The genotype distributions and allele frequency of Ala307Thr polymorphisms of FSHR were not statistically various between the controls and the PCOS patients. Significant elevation of body mass index with all genotype of PCOS was found when compared with controls. There were statistical differences in the BMI and most of the serum hormone and lipid profile parameters including LH, total testosterone, fasting glucose, Cholesterol, HDL and LDL, there were significant various in FSH and LH levels of hormones and HDL, LDL and VLDL with PCOS group conveying different genotypes of Ala307Thr polymorphisms. The variant of Ala307Thr was not associated with PCOS in Kurdistan women; there was no relationship between the POCS and gene of FSHR polymorphism at codons 307. There was a significant difference in FSH and LH levels with PCOS patients conveying different genotypes of Ala307Thr polymorphism.
Evolving Fast Innovation in Next-Generation Networking Through Flexible and Customized Softwarization and Slicing Capabilities

This paper discusses how the Software-Defined Networking (SDN) paradigm can be employed to address daily local networking constraints and reduce time-to-market by improving network slicing adoption perspectives. In a practical way, we also demonstrate how high flexibility and customized capabilities of softwarization can provide faster delivery of network management applications for improving user Quality of Experience (QoE) than a traditional network protocol stack.
Rural dialysis nurses’ experiences with challenging patients: a thematic qualitative analysis

Background: This study explored the experience of nurses encountering challenging patient behaviour while working at a rural hospital-based haemodialysis unit. Methods: Focus groups were conducted with haemodialysis nurses at a rural hospital. Five participants across two focus groups were asked questions regarding their experiences of challenging patients, including impacts that the experiences may have had on their ongoing professional practice. Transcripts of the focus groups were analysed thematically. Findings: Three themes arose from the focus group discussion - experiencing challenging behaviour, long-term relationships with patients, and nursing professionalism. Participants described challenges arising when caring for patients who were aggressive, did not comply with self-management, or caused avoidable logistical challenges. Long-term caring relationships presented challenges as patients could become emotionally dependent upon one nurse, making it difficult to share workloads with other nurses. Participants reported decreased confidence, being near tears, being angry, and experiencing 'burnout' when caring for patients with difficult behaviour over extended periods. Participants managed challenging behaviours by identifying triggers, allocating staff to specific patients, and trying to understand the patient's motivation for action. 'Not taking work home' and 'not taking things personally' were ways in which nurses attempted to look after their own wellbeing, although this was not always possible. Participants stressed the importance of working as a team and having supportive management and inter-professional relationships. Significance: Participants' perceptions of working in the nursing profession were more related to their ability to work as a team and manage challenging behaviour exhibited by patients in a supportive environment than the presence of patients exhibiting challenging behaviour.
ONTOLOGICAL MISCONCEPTION IN MATHEMATICS TEACHING IN ELEMENTARY SCHOOLS

Elementary school teachers in Indonesia are required to master many subjects to be taught to their students. It is undeniable that the teachers’ mastery of knowledge (material) in some subjects inadequate. Therefore, it is worth to argue that there was a misconception in mathematics teaching in elementary schools. This research was designed using a qualitative approach. The participants of this study were 30 elementary school teachers in Semarang city area, Central Java province, Indonesia. The research data were obtained through questionnaires, and interviews. The purpose of the study was to discuss the types and causes of the misconception of mathematics teaching in elementary schools. Alternative solutions were also presented to problem-solving so that misconceptions do not occur anymore in mathematics teaching. The findings show that, teachers evenly experience types of misconceptions: (1) pre-conception, (2) under-generalization, (3) over-generalization, (4) modelling error, (5) prototyping error; and (6) process-object error in teaching mathematics in elementary schools. Some misconceptions have taken root and are difficult to remove, called "ontological misconceptions" because of teachers' years of belief that the knowledge they received was true when in fact it was not quite right.
Prediction of Difficult Tracheal Videolaryngoscopic Intubation Using El-Ganzouri Risk Index

Summary Introduction. Unanticipated difficult intubation still exists as a significant problem. El-Ganzouri risk index is a bedside difficult airway evaluation method, which can help determine risk of difficult airways. However, evidence of using of El-Ganzouri risk index in difficult laryngeal visualisation using videolaryngoscopes is limited. Aim of the Study. Determine the specificity and sensitivity of El-Ganzouri multivariate risk index to predict difficult laryngeal exposure using Storz C-MAC videolaryngoscope equipped with D type blade. Material and methods. We conducted a study of 29 patients, which were examined using El-Ganzouri risk index before induction of anaesthesia. After induction of anaesthesia videolaryngoscopy was performed using Storz C-MAC videolaryngoscope equipped with D-blade and laryngeal visualisation was graded using Cormack-Lehane scale. After laryngeal visualisation grading endotracheal tube insertion was performed and numbers of attempts as well as complications during intubation were recorded. Sensitivity, specificity, positive and negative predictive values were calculated, receiver operating characteristic curve and area under curve was obtained. Results. Sensitivity and specificity were 54.2% and 80.0% at El-Ganzouri risk index cut-off value of 2 points. Calculated positive predictive value was 26.7% and negative predictive value was 92.9%. Calculated AUC was 78.3%. Conclusions. El-Ganzouri risk index shows moderate sensitivity and specificity when used with Storz C-MAC videolaryngoscope. It can be used to predict difficult laryngeal visualization during videolaryngoscopic intubation.
Utilisation des Insecticides Anti-Moustiques et Risques pour la Santé dans la Région de Libreville et ses Environs (Gabon)

Resume - Une etude basee sur deux enquetes a ete menee a Libreville et sa peripherie d’aout a novembre 2019. La premiere enquete a consiste a identifier les vendeurs des insecticides anti-moustiques tandis que la deuxieme, visait a interroger les populations sur le type d’insecticide qu’ils utilisent couramment chez eux. Aussi, deux questionnaires ont ete administres : l’un aux gerants de 106 espaces commerciaux et l’autre a 1 447 menages selectionnes au hasard. Les espaces commerciaux ont ete geo-localises a l’aide du GPSMAP 62s de marque Garmin et une cartographie thematique a ete realisee dans ArcGIS 10.4. 1. De ces enquetes, il ressort que, les commerces recenses sont inegalement repartis dans la zone d’etude. Les etablissements d’approvisionnement les mieux representes etaient les boutiques (n=62 ; 29,38%), les Gaboprix, les CKDO et les stations Total (n=39 ; 18,48%). Par ailleurs, les resultats obtenus ont montre que pres de 51% des menages de la region de Libreville utilise prioritairement l’aerosol de marque Rambo et que 25% de ces foyers appreciaient les fumigenes en spirale (appele ‘’mosquito’’). Toutefois, les insecticides chimiques utilises pourraient presenter des dangers pour la sante des membres de ces menages. Aussi, une etude toxicologique et medicale devrait etre realisee dans la region de Libreville afin d’evaluer les niveaux de risque de sante associe a l’usage de ces insecticides chimiques et les consequences sur les populations locales. Abstract - A study based on two surveys was conducted in Libreville and its environs from August to November 2019. The first survey consisted of identifying the sellers of mosquito repellents and the second, to interrogate people on the type of insecticide that they commonly use in their households. So, two questionnairies were administered: one to the managers of 106 commercial spaces and the other to 1,447 households selected at random. The commercial spaces were geo-localized using the Garmin GPSMAP 62s and a thematic mapping was carried out in ArcGIS 10.4. 1. From these surveys, it appears that, the commercial spaces identified are unevenly distributed in the study area. The best represented supply establishments were shopkeepers (n = 62; 29.38%), Gaboprix, CKDO and Total stations (n = 39; 18.48%). Moreover, the obtained results show that, more than half (51%) of households in the study area, use firstly the Rambo aerosol and that, a quarter of these households (25%) appreciate spiral smoke (called ‘’mosquito'’). However, the chemical insecticides used could imperil members of these households. So, a toxicological and medical study would be realize in the Libreville region in order to assess levels of health risk associated with the use of these chemical insecticides and the consequences for local populations. Keywords - Insecticide, mosquito, health risk, household, seller, Libreville, Gabon
Supercritical Carbon Dioxide Extraction of Lignocellulosic Bio-Oils: The Potential of Fuel Upgrading and Chemical Recovery

Bio-oils derived from the thermochemical processing of lignocellulosic biomass are recognized as a promising platform for sustainable biofuels and chemicals. While significant advances have been achieved with regard to the production of bio-oils by hydrothermal liquefaction and pyrolysis, the need for improving their physicochemical properties (fuel upgrading) or for recovering valuable chemicals is currently shifting the research focus towards downstream separation and chemical upgrading. The separation of lignocellulosic bio-oils using supercritical carbon dioxide (sCO2) as a solvent is a promising environmentally benign process that can play a key role in the design of innovative processes for their valorization. In the last decade, fundamental research has provided knowledge on supercritical extraction of bio-oils. This review provides an update on the progress of the research in sCO2 separation of lignocellulosic bio-oils, together with a critical interpretation of the observed effects of the extraction conditions on the process yields and the quality of the obtained products. The review also covers high-pressure phase equilibria data reported in the literature for systems comprising sCO2 and key bio-oil components, which are fundamental for process design. The perspective of the supercritical process for the fractionation of lignocellulosic bio-oils is discussed and the knowledge gaps for future research are highlighted.
Withholding Tax Rates on Dividends: Symmetries vs. Asymmetries in Double Tax Treaties

Out of all double tax treaties (DTTs) in force in 2012, around 41% are symmetric and 59% are asymmetric, i.e., they prescribe different dividend withholding tax rates (WTRs) depending on the foreign investor’s ownership fraction. The paper investigates the reasons for this phenomenon, namely why some countries in their DTTs prefer homogenous withholding tax rates over separate rates for participation and portfolio dividends. In a theoretical model, I demonstrate why home countries may have an interest in a high withholding tax rate in the host country, even though they do not receive the revenue from this tax. Further, I find confirming evidence that a reason for having asymmetric withholding tax rates on dividends is an existing spatial dependence on the rates of the countries’ peers that may be a driving factor for setting asymmetric rates. Finally, I confirm that the spread itself (i.e., the difference between the portfolio and participation dividends negotiated in the tax treaty) is also affected by the peer countries.
Accuracy of Triple Assessment in Diagnosis of Breast Cancer in Women More than 40 Years of Age

Background: To determine the diagnostic accuracy of triple assessment in the diagnosis of breast cancer in women more than 40 years keeping histopathology as the gold standard.Methods: In this cross-sectional study, women with a breast lump or change in the texture of the breast with an age range of 40-70 years were included. Detailed physical and breast examination and mammography followed by FNAC were performed. Mammography of breast consists of two standard views, i.e., lateral oblique (MLO) and a craniocaudal view (CC). Sensitivity, specificity, positive predictive value and negative predictive value and accuracy of triple assessment were calculated.Results: There were 49.5% of patients who were labelled as malignant. The mammogram showed 69.7% as malignant. On FNAC 64.8% were labelled as malignant. Results of triple assessment showed 72.4% as malignant. Histopathology results showed 73.3% as malignant, thus showing that in overall study population 71.5% were true positives, 25.7% were true negatives, 1% were false positives and 2.0% were false negatives. The study findings revealed that sensitivity, specificity, PPV, NPV, and accuracy of triple assessment in diagnosing breast cancer is 97.4%, 96.4%, 98.7%, 93.1% and 97.2% respectively.Conclusion: Triple assessment allows detection of malignancy in palpable breast lumps with acceptable sensitivity, specificity, positive predictive value, negative predictive value, and accuracy.
Benchmark Dataset of Ultra-Wideband Radio Based UAV Positioning

Precise positioning of the Unmanned Aerial Vehicle (UAV) is critical to conduct many sophisticated civil and military applications in challenging environments. Many of the-state-of-the-art positioning methods rely on active range sensors. Among many available ranging sensors, Ultra-wideband (UWB) can provide many benefits such as high precision, power efficiency, and not prone to multipath propagation and noise. Thus, the UWB has recently been attracting many interests from the research community as a complementary positioning sensor. However, there is a significant lack of UWB benchmark data available to support developing, testing and generalizing their own positioning methods using UWB sensors. In this paper, we present a unique benchmark dataset that provides UWB and IMU signals acquired by a Q-Drone system in a diverse environment, including an indoor, open field, close to buildings, underneath the bridge, and semi-open tunnel, as shown in Fig.1. This benchmark also provides ground truth of UAV positions independently measured with robotic total stations. In this paper, we present the characteristics of the UWB benchmark dataset, Q-Drone UAV platform and the results of the quality assessment conducted by a baseline positioning algorithm implemented with multilateration principal and non-linear optimization.
Firefly Algorithm Based Feature Selection for EEG Signal Classification

Brain-computer interfaces (BCIs) recognize specific features of a person’s brain signal relating to his/her intent, and output a control command that controls the outside devices or computers. BCI systems facilitate the lives of patients who cannot move any muscles but have no cognitive disorder. The high dimensions of features represent a research challenge. In recent years, especially nature inspired heuristic optimization algorithms became popular in order to eliminate unnecessary features. This paper addresses a crucial factor for effective classification of motor imaginary based EEG signals that are an optimal selection of relevant EEG features using firefly algorithm. Firefly algorithm (FA) works on the principle of directing the less shiny than the light intensity emitted by fireflies in nature towards the bright. The algorithm can adaptively select the best subset of features and improve classification accuracy. In this study, following extracted Katz Fractal Dimension based features, effective feature(s) were selected by FA. The proposed method successfully applied on open access dataset which was collected from 29 subjects. We obtained an average 76.14% classification accuracy (CA) using k-nearest neighbor classifier. This is 4.4% higher than the CA calculated by using all features. These results proved that used method is robust for this dataset.