Miracle-dz/UniFAR-FTUs huggingface dataset:
Identification and Validation of an Individualized EMT-Related Prognostic Risk Score Formula in Gastric Adenocarcinoma Patients

Background The epithelial-mesenchymal transition (EMT) is a pivotal process for fibrotic disease, embryonic development, and wound healing. Moreover, some evidence has proven that the disorder of EMT also plays an important role in carcinogenesis, especially invasion and metastasis of various tumors (Ritchie et al., 2015). Additionally, gastric adenocarcinoma (GAC) is a common gastrointestinal malignancy which is the fourth most commonly diagnosed tumor. Our study is aimed at identifying the prognostic value of EMT-related genes in gastric adenocarcinoma. Methods Firstly, high-throughput and clinical data were downloaded from The Cancer Genome Atlas (TCGA) database. 99 differentially expressed EMT-related genes (ERGs) were obtained in these gastric adenocarcinoma data. Secondly, GO and KEGG enrichment analyses show that EMT may promote gastric carcinogenesis. Next, 10 ERGs associated with prognosis of gastric adenocarcinoma patients are screened out by univariate Cox regression, and 6 pivotal prognostic ERGs (MMP8, MMP11, TFDP3, MYB, F2, and CNTN1) are identified through multivariate Cox regression. These 6 genes are confirmed with significant prognostic value in gastric adenocarcinoma through overall survival (OS) analysis. Finally, a risk score formula is constructed and tested in another gastric adenocarcinoma cohort from GEO. Results 99 differentially expressed EMT-related genes (ERGs) and their enriched pathways are identified. 10 ERGs are strongly related to the prognosis of GAC patients. A risk score formula of 6 prognosis-related ERGs used to predict the prognosis of gastric adenocarcinoma patients is identified and tested (risk score = 0.448115∗expression value of MMP8 + 0.378892∗expression value of MMP11 − 0.3226∗expression value of MYB + 1.322812∗expression value of TFDP3 + 0.325063∗expression value of F2 + 0.334197∗expression value of CNTN1). Conclusion This study provides a potential prognostic signature for predicting prognosis of gastric adenocarcinoma patients and molecular insights of EMT in gastric adenocarcinoma, and the formula focusing on the prognosis of gastric adenocarcinoma can be effective.
Determinants of Household Water Supply Sustainability in an Emerging Town in Northwest Ethiopia

Accessing useable freshwater appears to be the main worry of urban citizens in Ethiopia today. The possible reasons for the problem are not yet duly addressed in scientific literatures. In this paper we analyzed the determinants of household water supply and sustainability in a rural town named Agew-Gimjabeht, Ethiopia. We captured data through questionnaires, interviews, discussions and observations. Data were analyzed using descriptive statistics and the binary logistic regression model. We found that many households (≥68%) lack adequate water supply to satisfy their family needs. The daily household per capita water was 42.13 liters. The per capita water (9.93 liter per person per day/ l p -1 d -1 ) found less than the universally recommended 20 l p -1 d -1 threshold. Age, house type, micro-relief, rate of urbanization and management capacity significantly influenced households’ freshwater sustainability in the town. It is recommended that urban governments design better urban management schemes and capacities to minimize water shortages.
The influence of entrepreneurship education among senior secondary school students in Billiri LGA of Gombe State

This study examined the influence of entrepreneurship education among secondary school students. Entrepreneurship education if seen as then key driven factor to the economy of any nation, that is why the Federal Government through the Nigerian Educational Research and Development Council (NERDC) introduced entrepreneurship education in secondary schools with the sole aim of providing students with skills and attitudes that will make them self-reliance as well as employers of labour. A survey research design was used and a simple random sampling techniques was employed to select 100 students from all the senior secondary schools in Billiri LGA of Gombe State. The instrument for data collection was a 21 item questionnaire designed on a four points likert scale. The data were analysed using mean, standard deviation and Pearson coefficient. The findings revealed that entrepreneurship education has an influence on students’ self-reliance as well as it motivate students to be job creators. Furthermore, the result of the hypothesis shows that there is no significant relationship between male and female students on their view on the influence of entrepreneurship education on students’ selfreliance but it shows a significant relationship exist between public and private schools students on their view on the influence of entrepreneurship education on students’ self -reliance. Based on the findings the following recommendations were made that government should increase the funding of entrepreneurship education in our schools, adequate and experience qualified teachers should be recruited to teach entrepreneurship subjects in our secondary schools, teachers that specialized in the fields among others.
Knowledge and Attitude towards Pain Management among Nurses Working at University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia

Introduction. Pain is unpleasant sensory and emotional experience associated with actual and potential tissue damage. Inadequate pain management has been shown to affect patient outcomes by potentially increasing hospital stay and delaying recovery; thus, the management of pain has major implications for nursing. The study was aimed to identify gaps in knowledge and attitude of nurse's level of pain management. Objective This study aimed to assess knowledge and attitude towards pain management among nurses working at University of Gondar comprehensive specialized referral hospital, Northwest Ethiopia, 2019. Methods Institution-based cross-sectional study was carried out during May 20–30, 2019. A stratified random sampling technique was used to select 422 nurses. Hospital departments were classified into 5 main strata having nearly the same working conditions: (1) Internal Medicine, (2) Pediatrics, (3) Surgical, (4) Outpatient Clinics, and (5) Emergency and Intensive Care Departments. The proportional allocation was taken from each stratum, and then a simple random technique was applied. Descriptive statistics like frequency, mean, median, standard deviation, and percentage were used to describe the distribution of data. Independent samples t-test was used in comparing the gender knowledge and attitude mean score of the nurses towards pain management. One-way ANOVA was also used in determining the differences between knowledge and attitude towards pain management with sociodemographic characteristics at the p=0.05 level of significance. Result A total of 411 study participants were involved in this study. More than half of the nurses, 225 (58.1%), were males; 308 (79.5%) of them were in the age category of 19–29 years. The magnitude of good knowledge towards pain management among nurses was 66.9% with a mean score of 7.14 (1.74 SD). The magnitude of favorable attitude towards pain management among nurses was 51.7% with a mean score of 49.33 (7.13 SD). Conclusion and Recommendation. This study revealed that nurses working at University of Gondar hospital had good knowledge and a lower level of attitude towards pain management than those reported in previous studies. Thus, the situation demands various educational and quality improvement initiatives that could enhance the nurse‘s knowledge and attitude in the area of pain management.
Exogenous carbon monoxide suppresses LPS-induced platelet SNAREs complex assembly and α-Granule exocytosis via integrin αIIbβ3-mediated PKCθ/Munc18a pathway

Activation of coagulation occurs in sepsis and contributes to the development of thrombosis. Platelet α-granule exocytosis plays an important role in septic coagulation abnormalities. The present study aimed to investigate the effects and the underlying mechanisms of exogenous carbon monoxide, carbon monoxide-releasing molecules II (CORM-2)-liberated CO, on suppressing platelet α-granule exocytosis in sepsis. It was shown that CORM-2 weakened α-granule membrane fusion with platelet plasma membrane and attenuated α-granule contents exocytosis in LPS-Induced platelet. Further studies revealed that CORM-2 suppressed the expression of integrin αIIbβ3 in platelets stimulated by LPS. This was accompanied by a decrease in production and phosphorylation of PKCθ and Munc18a, SNAREs complex assembly and subsequently platelet α-granule exocytosis. Taken together, we suggested that the potential mechanism of suppressive effect of CORM-2 on LPS-induced platelet SNAREs complex assembly and α-Granule Exocytosis might involve integrin αIIbβ3-mediated PKCθ/ Munc18a pathway activation.
Housing Prices Prediction with a Deep Learning and Random Forest Ensemble

The development of a housing prices prediction model can assist a house seller or a real estate agent to make better-informed decisions based on house price valuation. Only a few works report the use of machine learning (ML) algorithms to predict the values of properties in Brazil. This study analyzes a dataset composed of 12,223,582 housing advertisements, collected from Brazilian websites from 2015 to 2018. Each instance comprises twenty-four features of five different data types: integer, date, string, float, and image. To predict the property prices, we ensemble two different ML architectures, based on Random Forest (RF) and Recurrent Neural Networks (RNN). This study demonstrates that enriching the dataset and combining different ML approaches can be a better alternative for prediction of housing prices in Brazil.
Abstrak: Pembelajaran matematika seharusnya memfasilitasi siswa membangun pengetahuan sendiri. Dalam membangun pengetahuan, siswa melibatkan beragam proses dan gaya berpikir. Penelitian kualitatif ini bertujuan untuk mendeskripsikan proses berpikir siswa dalam mengidentifikasi bangun datar concave b

Mathematics learning should facilitate students' construction of knowledge. In constructing mathematics knowledge, students involve various types of thinking processes and styles. This qualitative research aimed to describe the process of students’ thinking in identifying concave plane based on Gregorc’s model of thinking style. It involved thirty-three 9th-grade students with a different style of thinking. Data were collected through tests, questionnaire, and non-structured interview then descriptively analyzed to reveal students’ thinking process and styles. The present study found two different thinking styles, namely Sequential Concrete and Random Abstract from students who successfully identified the concave plane as a kite. There were different thinking processes in the development of definition, opinion, and conclusions from subjects with different thinking styles. However, the difference in the thinking process from each thinking styles do not hamper students’ success in constructing knowledge.
Adaptation patterns of sixteen alfalfa (Medicago sativa L.) cultivars across contrasting environments of Algeria and implications for the crop improvement

The additive main effects and multiplicative interaction analysis was applied to assess the genotype × environment interaction (GEI) effects and stability for 4-year dry matter yield (DMY) of 16 alfalfa (Medicago sativa L.) cultivars of diversified geographic origin grown in four Algerian environments given by the combination of two water managements (rainfed and irrigated) and two evaluation sites, viz. the sub-humid location of Alger and the semi-arid, salinity-affected site of Hmadna. The analysis of variance (ANOVA) revealed significant variation among cultivars and environments (P<0.001). The GEI was significant (P<0.001) and the environment main effect had greater influence than the genotype effect on long-term yield according to ANOVA. Rainfed conditions had 41.6% and 48.5% lower yield than the irrigated ones in Alger and Hmadna, respectively. Alfalfa cropping in the semiarid location caused lower DMY than in the sub-humid one (–38.0% under irrigated and –45.2% under rainfed conditions) and a slightly lower persistence over the 4-year period. Outstanding environment-specific cultivar responses were observed, fully justifying the large GEI effects, although the Italian cultivar Sicilian ecotype had remarkable yield stability and good mean yield. The American variety Ameristand 801S and the Moroccan landrace Erfoud 1 were the most salt-tolerant cultivars. The evaluated germplasm, and particularly some exotic cultivars, could be used as parents to breed new varieties more adapted to drought and salinity in the Mediterranean basin.
Fungal Diversity and Physicochemical Changes in Fresh Fruits During Storage at Ambient Room Conditions

The study aimed to investigate the effect of short-term postharvest storage on the fungal diversity and physicochemical and sensory quality of fresh fruits viz. apple, banana, grapes, guava and mango. The fruits were stored at ambient room temperature (28°C) and evaluated for fungal diversity, total fungal and bacterial counts, moisture content, water activity (aw), vitamin C content and sensory characteristics such as appearance, odour, taste, texture and overall acceptability at the initial (0 day), 7 and 14 days of storage. The dominant fungal genera isolated from all the fruits were Aspergillus niger (35.38%), Penicillium spp. (28.24%), Rhizopus stolonifer (25.35%) and Aspergillus flavus (21.35%) after 14 days of storage. Both the total fungal and bacterial counts increased significantly over storage time. However, the percent moisture content and aw level of all the fruits decreased significantly (P < 0.05) after 14 days storage. The storage time did not significantly (P > 0.05) affect the vitamin C content of fruits. Regarding sensory quality, apple got the highest score for appearance, odour, taste, texture, and overall acceptability followed by grapes whereas banana and guava got the lowest score for overall acceptability after 14 days storage. It was concluded that, at ambient room temperature a diversity of fungal species attacks fresh fruits and their shelf life, nutritional and sensory quality start deteriorating as early as after 3 days of storage.
Analysis for Mutual Impedance of Pistons by Neural Network and Its Extension of Derivative

This study is basically a mathematical problem in sonar engineering. The sonar plays a very important role in underwater communication, detection, and remote sensing. Pistons are key sensors in a sonar system. The mutual coupling is a challenging problem in designing a sonar array. The mutual impedance of pistons is required in analyzing the mutual coupling of a sonar array. In this paper, a mathematical model consisting of a neural network and its extension of derivative is given and then utilized to analyze the mutual impedance of pistons. Initially, the mutual impedance of pistons is modelled and predicted by a neural network. By suitably extending the neural network, the derivative, i.e., slope information, for the neural-network output is obtained easily. Therefore, the mutual impedance and its slope information are obtained simultaneously almost in real time as the neural network is well trained in advance. Numerical examples show that the neural network can accurately predict the mutual impedance and its extension of derivative gives the slope information of mutual impedance simultaneously. It should be emphasized that the training work of a neural network is performed only once, i.e., only the training work in mapping the mutual impedance is required. No additional training work is required in obtaining the slope information.
Adapted Lesk Algorithm based Word Sense Disambiguation using the Context Information

The process of identifying the meaning of a polysemous word correctly from a given context is known as the Word Sense Disambiguation (WSD) in natural language processing (NLP). Adapted Lesk algorithm based system is proposed which makes use of knowledge based approach. This work utilizes WordNet as the knowledge source (lexical database). The proposed system has three units – Input query, Pre-Processing and WSD classifier. Task of input query is to take the inputs sentence (which is an unstructured query) from the user and render it to the pre-processing unit. Pre-processing unit will convert the received unstructured query into a structured query by adding some features such as Part of Speech (POS) tagging, grammatical identification (Subject, Verb, and Object) and this structured query is transferred to the WSD classifier. WSD classifier uniquely identifies the sense of the polysemous word using the context information of the query and the lexical database.
Altered Body Composition and Increased Resting Metabolic Rate Associated with the Postural Instability/Gait Difficulty Parkinson's Disease Subtype

Background Weight loss in Parkinson's disease (PD) patients is a common but poorly understood manifestation. Several studies have reported that weight changes could be related to motor symptoms, drug side effects, dysphagia, depression, and/or dementia. Weight loss in PD is not a benign phenomenon and it has several clinical and prognostic implications with increased morbidity and mortality. Thus, it is crucial to determine nutritional changes in PD patients in order to prevent malnutrition and improve their quality of life. Objective To compare body composition and resting metabolic rates between PD patients and controls. Methods A total of 64 PD patients and 52 controls were studied. The Hoehn-Yahr scale was used to determine the disease stage, clinical and epidemiological data were recorded from verbal questionnaire, Inbody S10® was used to collect corporal parameters, and FitMate system was used to assess the resting metabolic rate. Results No significant differences were found between both experimental groups in age, gender, height, cholesterol levels, and the presence of hypertension, diabetes, and hypo/hyperthyroidism. However, the PD group showed lower body fat mass, whole-body fat percentage, and greater resting metabolic rate compared to controls (p < 0.05), with no significant differences in musculoskeletal mass. Parkinson's disease postural instability/gait difficulty (PD-PIGD) subtype showed lower body fat parameters, increased fat-free mass, and higher resting metabolic rates. Conclusions These results suggest that PD patients present an increased resting metabolic rate associated with the postural instability/gait difficulty PD subtype, allowing a selective decrease of body fat mass and not musculoskeletal mass. Of note, several disease-related factors may contribute to this weight loss in PD patients, being a complex and multifactorial consequence. Our findings could likely be one of the many contributing factors. However, present findings may further add to our understanding of the phenomenon of weight loss in patients with PD.
A QUALITATIVE STUDY OF PERCEPTIONS OF E-CIGARETTES AMONG YOUTH SMOKERS AND PARENTS OF YOUTH IN SINGAPORE

Objective: Electronic cigarettes (e-cigarettes) are increasingly used globally and the implications of their smoking are being debated. The aim of this study is to identify awareness, use and perceptions of ecigarettes among young smokers and parents of youths in Singapore. Methods: A total of 12 focus group discussions (FGDs) were conducted among youths (aged 15-29 years) who smoke and parents of youths, from diverse social contexts. Participants were recruited using a mix of network and purposive sampling. Youth FGDs were conducted in English language while the parent FGDs were conducted in Chinese and English language. FGDs were audio recorded and transcribed verbatim. The data were analysed using qualitative content analysis. Results: Awareness about e-cigarettes was perceived more among youth as compared to parents in terms of structure, mechanism and use of the device. Parents considered ecigarettes to be a healthy substitute for conventional smoking. However, youth expressed the failure of ecigarettes to provide satiety level same as conventional cigarette smoking. Participants endorsed ecigarettes as a tool for smoking cessation. Conclusion: It was evident from the study that though there was knowledge of e-cigarettes, both parents and youths were illinformed about them, owing to varied and inconsistent information on e-cigarettes along with its legal implications in Singapore. Future research is required to assess safety and efficacy of e-cigarettes as well as the association of their use with smoking cessation.
POTENTIAL OF BIOWASTES TO REMEDIATE DIESEL FUEL CONTAMINATED SOIL

The unintended release of hydrocarbons into the environment can negatively impact human and animal health, and could further change the characteristics of soils. The aim of the present work was to investigate the rate of biodegradation at 10 and 20% diesel fuel in contaminated soil amended with 10% of three different organic wastes (tea leaf, soy cake, and potato skin) for a period of 126days. 82 and 25% oil loss was recorded in soil amended with soy cake at 10% and 20 % oil pollution, respectively. Diesel fuel utilizing bacteria counts were high in all organic wastes amended treatments, ranging from 150×10 to 176 ×10 CFU g of soil, compared with the unamended control soil which gave 23 ×10 CFU g. Dehydrogenase activity in soil was markedly enhanced by the application of organic wastes. Diesel oil composition monitored by GC/MS indicated complete degradation of n-C9 – C12. First-order kinetic model showed that among the three organic wastes used, soy cake had the highest biodegradation rate constant of 0.153 day at 10% oil pollution, while biodegradation rate was 0.033 day at 20% oil pollution. The results showed there is potential for soy cake, potato skin and tea leaf to enhance biodegradation of diesel in contaminated soil.
QR: A New Reparameterization Algorithm for Quick Response DCOPs

In this paper we consider algorithms for DCOPs that require a quick response. In this context it is important to have any-time algorithms that give fast sub-optimal solutions and error bounds. Then the agents may consider the urgency of their reaction and the quality of their current solution and decide to wait a little longer for a likely better solution. Under this framework we propose QR, a new algorithm that combines a tree-like relaxation with reparameterization. It improves over previous tree-relaxation algorithms in that it is any-time. It improves over lagrangian-relaxation algorithms in that it gets more accurate bounds at the very ﬁrst iterations.