Miracle-dz/UniFAR-FTUs huggingface dataset:
Sponge community (Porifera) in coral reef ecosystem in Sabang, Aceh Province, Indonesia

Abstract. Aulia ED, Hadi TA, Utama RS. 2021. Sponge community (Porifera) in coral reef ecosystem in Sabang, Aceh Province, Indonesia. Biodiversitas 22: 3394-3402. Sponges are one of the most influential benthic organisms in coral reef ecosystems. Many studies about sponge communities have been carried out globally, from tropical to temperate regions. In Indonesia, however, sponge communities have not been adequately observed, especially their diversity and interaction with habitats. Sabang, a developing city located in the northwest of Indonesia, has a lack of information about benthic communities and no reports about sponges. This study investigated the sponge community (species richness, coverage, and morphological characters) and the interactions, both within sponges and with corals and substrates, in Sabang. The study found that the sponge richness (species and morphology) and coverage are categorized as poor, having only 24 species with seven morphologies, and coverage of 1.79 ± 1.03% (SE). The interaction analyses showed significant relationships occur among sponge variables but not between sponges and corals, nor between sponges and their substrates. These results could be attributed to the hydrodynamic-related stresses in Sabang, which are likely influenced by exposure to the open ocean, a condition that is less favorable to diversity and interaction. It is necessary to regularly monitor the condition of benthic communities in Sabang in order to better understand their stable state and detect any change over time.
Dietary intake patterns, nutrient adequacy and associated factors in a multi-ethnic Caribbean population

Background: Diet is a significant contributor to health and wellbeing of individuals. Aim: In this study we investigated patterns of dietary intakes, levels of nutrient inadequacies and associated sociodemographic, anthropometric and lifestyle factors among adults in Trinidad and Tobago. Method: The study was cross-sectional in nature. A convenience sample of 11783 persons from districts throughout Trinidad and Tobago completed a self-administered questionnaire comprising socio-demographic and lifestyle items. Anthropometry was self-reported with 15% of participants having measurements done according to recommended procedures. Dietary patterns were determined by principal component analysis (PCA) while nutrient intakes and adequacy were assessed using the NutriGenie 7.0 software and nutrient adequacy ratio (MAR) respectively. Foods were categorised as unprocessed/minimally processed and processed/ultra-processed. The University of The West Indies Ethics Committee approved the study. Results: Approximately 72.5% of participants met the Goldberg criteria for plausible reporting. The three predominant dietary patterns ‘Typical’, ‘Fruits and Vegetables’, and ‘High Fat’ explained 45% of the total variance in foods consumed. Processed/ultra-processed foods accounted for most of the energy (80%) and nutrients consumed. Nutrient inadequacies were observed for potassium, vitamins B12, D, E, K, fibre, magnesium; and iron among females. The mean adequacy ratio (MAR) for participants was 67%. MAR was positively associated with predominant dietary patterns independent of socioe demographic and lifestyle factors (p < 0.001). Conclusion: Irrespective of their nature, the predominant dietary pattern was associated with nutrient adequacy among participants. Reducing the risk of inadequate nutrient intakes may be addressed by increasing availability, access and consumption of appropriate sources of these micronutrients.
Time management for better job performance: An analysis from al-wasatiyyah perspective

Managing time means engaging activities that generate greater benefits to human beings. To a Muslim, benefits encompass for both worlds, i.e., life in this mundane world as well as life in the hereafter. Previous research on time management resulted in a variety of findings depending on the aspects under study. The objective of this research is to investigate the components of time management that have significant relationship with job performance, especially in the context of Malaysian employees. This research also intends to relate the concepts and attributes of Al-Wasatiyyah that have direct relationship to job performance. To pursue the research objectives, 223 employees working in different sectors in Malaysia were contacted. The researchers found that certain time management factors namely ‘prioritisation of tasks’, ‘usage of schedules’ and ‘time management instrument’ sustained statistically significant positive relationships to job performance. Meanwhile, the Al-Wasatiyyah variables that have been found to have statistically significant positive relationships to job performance are ‘working with sincerity/pure intention (niyyah)’, ‘following the middle path to avoid excessiveness in working place (wasatan)’, ‘practicing values in working place (qiam)’, and ‘ensuring fairness in task assignment (adl)’. These findings have important implications. Most importantly, managers of organisations can practice them to motivate employees in order to enhance their job performance which by and large will improve the performance of the whole organisation in the long run.
International Journal of Food Engineering In Vitro Binding of Bile Salts by Different Insoluble Dietary Fiber Extracted from Brewers ’ Spent Grain

Brewers’ spent grain (BSG), one of the major by-products of the brewing industry, has been mainly used as fertilizer or animal feed. Nevertheless, BSG was shown to contain a number of potentially high-value components such as insoluble dietary fiber (IDF). Recently, most studies on health benefits associated with IDF have been demonstrated. In the present study, the water holding capacity (WHC), swelling capacity (SC), oil holding capacity (OHC) and bile salts binding of the different insoluble dietary fiber extracted from BSG were tested in vitro. The results showed WHC, SC and OHC of the different IDF increased greatly. The WHC, SC and OHC of IDF extracted by alkaline hydrolysis were 2.63±0.11, 1.31±0.06 and 2.33±0.09 fold of BSG, respectively. The WHC, SC and OHC of IDF extracted by enzymatic hydrolysis were 2.94±0.14, 1.96±0.09 and 2.87±0.13 fold of BSG, respectively. We also investigated the in vitro binding of bile salts by BSG and IDF. IDF extracted by enzymatic hydrolysis showed a greater bile salts binding capacity than IDF extracted by alkaline hydrolysis. Bile salts binding by IDF may influence cholesterol lowering and lipid metabolism in body. It can be concluded that IDF extracted from BSG may have potential application as a food additive in functional foods.
Spectral Feature Extraction Using Partial and General Method

With the rapid growth in astronomical spectra produced by large sky survey telescopes, traditional manual classification processes can no longer fulfill the requirements of precision and efficiency of spectral classification. There is an urgent need to employ machine learning approaches to conduct automated spectral classification tasks. Feature extraction is a critical step which has a great impact on any classification result. In this paper, a novel gradient-based method together with principal component analysis is proposed for the extraction of partial features of stellar spectra, that is, a feature vector indicating obvious local changes in data, which corresponds to the element line positions in the spectra. Furthermore, a general feature vector is utilized as an additional characteristic centering on the overall tendency of spectra, which can indicate stellar effective temperature. The two feature vectors and raw data are input into three neural networks, respectively, for training and each network votes for a predicted category of spectra. By selecting the class having the maximum votes, different types of spectra can be classified with high accuracy. The experimental results prove that a better performance can be achieved using the partial and general methods in this paper. The method could also be applied to other similar one-dimensional spectra, and the concepts proposed could ultimately expand the scope of machine learning application in astronomical spectral processing.
Flow field-flow fractionation hyphenated with inductively coupled plasma mass spectrometry: a robust technique for characterization of engineered elemental metal nanoparticles in the environment

Abstract Due to the increased applications of engineered elemental metal nanoparticles (EMNPs) in recent years, increased attention has been devoted to their release into the environment. EMNPs pose potential risks to living organisms, including human beings. Hence, the characterization of EMNPs in the environment has gained significant importance. Among the various techniques reported for the characterization of EMNPs, on-line coupling of flow field-flow fractionation with inductively coupled plasma mass spectrometry (F4-ICPMS) has been well established for the simultaneous separation, identification, and quantification of EMNPs, especially in the complex matrices of environmental samples. Thus, this review focuses on the specific advantages of the F4 method, especially the asymmetrical F4 (AF4) and hollow fiber F4 (HF5) methods, in the separation of EMNPs, the general development of AF4-ICPMS and HF5-ICPMS techniques, and recent advances in the application of these hyphenated techniques in examining the occurrence and transformation of EMNPs in the environment. Finally, several perspectives on these techniques have been put forward.
The Effect of Public Service Quality on Community Satisfaction in Districts of Gorom Island, Eastern Seram

The purpose of this research is to know how far influence quality of public services to community satisfaction at the Gorom Island District Office, East Seram Regency. The method used in this research is descriptive method with a quantitative approach. The population of this research is 50 people. Methods of data analysis using simple linear regression analysis, Pearson correlation and coefficient of determination using SPSS 22.0 for windows. The results showed that 1). The quality of public services has a positive effect on consumer / community satisfaction76.9%, meaning that the higher the quality of the services provided, the higher the customer satisfaction. Vice versa, if the lower the quality of service provided, it will decrease by one point, then the consumer / community satisfaction will decrease by 0.769 or 76.9%. 2). From the tests carried out, it is obtained The coefficient of determination is 63.5% of customer / community satisfaction is influenced by the quality of public services, while the remaining 36.5% of customer / community satisfaction is influenced by other variables not examined in this study. Keywords : Quality of Public Services, and Consumer / Community Satisfaction
Mining Map Interaction Semantics in web-based Geographic Information Systems (WebGIS) for Usability Analysis

Abstract. Due to the increased availability of geospatial data, web-based geographic information systems (WebGIS) have become more popular in recent years. However, the usability of these systems poses new challenges as user interactions are strongly affected by the map and are thus different from interactions with traditional user interface elements. In this paper, we propose a method for evaluating the usability of web-based geographic information systems by analyzing user intentions through map interaction patterns. We use a pattern mining algorithm to extract frequent interaction sequences from user sessions and label these with their interaction semantics that represent the users’ immediate intentions. To evaluate our approach, we conducted a user study with 60 participants in a WebGIS scenario and identified varying user strategies for a selection task based on two different geovisualizations. Our results indicate that the chosen approach can uncover the underlying intentions of users’ interaction patterns and facilitate insights into the usability of WebGIS.
Deep Reinforcement Learning-Based Mobility-Aware UAV Content Caching and Placement in Mobile Edge Networks

With the proliferation of smart mobile devices, there is now an ever increasing craving for higher bandwidth for end user satisfaction. Increasing mobile traffic leads to congestion of backhaul networks. One promising solution to this problem is the mobile edge network and consequently mobile edge caching. There is an emerging paradigm shift toward the use of unmanned aerial vehicles (UAVs) to assist the traditional cellular networks and also to provide connectivity in places where there are no small base stations or faulty ones as a result of some natural disaster such as flooding. Hence, UAVs can be used to assist in content caching as well. This work proposes the use of human centric features, random waypoint user mobility model, and deep reinforcement learning to predict the location of the UAVs and the contents to cache at the UAVs. We formulated our problem as a Markov decision problem (MDP) and proposed a dueling reinforcement learning-based algorithm to solve the MDP problem. Our simulation results prove that our algorithm converges to an optimal solution and performs better than other baseline reinforcement learning algorithms in terms of quality of experience satisfaction, transmit power, and cache resource utilization
Use of Cardiac Tomography and Cardiac Magnetic Resonance to Predict the Absence of Intracardiac Thrombus in Anticoagulated Patients Undergoing Atrial Fibrillation Ablation.

Background: Pulmonary veins isolation (PVI) is a standard treatment for recurrent atrial fibrillation (AF). Uninterrupted anticoagulation for minimum 3 weeks before the ablation and exclusion of left atrial (LA) thrombus with transesophageal echography (TEE) immediately before or during the procedure minimize peri-procedural risk. We aimed to demonstrate the utility of cardiac tomography (CT) and cardiac magnetic resonance (CMR) to rule out LA thrombus prior to PVI.Methods: Patients undergoing PVI for recurrent AF were retrospectively evaluated. Only patients that started anticoagulation at least 3 weeks prior to the CT/CMR and subsequently uninterrupted until the ablation procedure were selected. An intracardiac echo (ICE) catheter was used in all patients to evaluate LA thrombus. The results of CT/CMR were compared to ICE imaging.Results: We included 272 consecutive patients averaging 54.5 years (71% male; 30% persistent AF). Average CHA2DS2VASC Score was 0.9 and mean LA diameter was 43 mm, 111 patients on Acenocumarol and 161 on direct oral anticoagulants. Anticoagulation was started 227±392 days before the CT/CMR, and 291±416 days before the ablation procedure. CT/CMR diagnosed intracardiac thrombus in 2 cases, both in the LA appendage. A new CT/CMR revealed resolution of thrombus after 6 additional months of uninterrupted anticoagulation. No macroscopic thrombus was observed in any patients with ICE (negative predictive value of 100%; p<0.01). Conclusions: CT and MRI are excellent surrogates to TEE and ICE to rule out intracardiac thrombus in patients adequately anticoagulated prior AF ablation. This is true even for delayed procedures as long as anticoagulation is uninterrupted.
The Prognosis of Pulmonary Sarcomatoid Carcinoma: Development and Validation of a Nomogram Based on SEER

Background: The rarity of pulmonary sarcomatoid carcinoma (PSC) and the lack of prospective clinical trials have led to limited knowledge of its clinical characteristics. This study aimed to evaluate the survival and prognostic factors of PSC and to build a nomogram for clinical practice. Methods: Eligible patients diagnosed from 2010 to 2016 were selected from the Surveillance, Epidemiology, and End Results (SEER) database. We compared the clinical characteristics and survival times of PSC patients with those of lung adenocarcinoma (LADC) and lung squamous cell carcinoma (LSCC) patients. We also used univariate and multivariable Cox regression to estimate mortality hazard ratios among patients with PSC, while a visual nomogram was established to judge the prognosis. Discrimination, calibration, clinical utility, and reproducibility were validated by Harrell's concordance index (C-index), the area under the curve (AUC), calibration curves, and decision curve analysis (DCA). Results: A total of 400 PSC patients (0.42%) were identified in the SEER database, whereas 58 474 and 33 637 patients were diagnosed with LADC and LSCC, respectively. Age, T stage, grade, surgery, and radiation were shown to be significant prognostic factors in the Cox regression analyses and were included in the nomogram as predictors. The C-index of the nomogram in the validation set was 0.759. The AUC also demonstrated the good performance of the nomogram, and DCA demonstrated its good clinical applicability. Conclusion: We established a novel nomogram to predict the prognosis of PSC, which can help clinicians make tailored decisions and adjust follow-up management strategies, and can provide accurate and individualized survival predictions.
A novel receiver-transmitter metasurface for a high-aperture-efficiency Fabry-Perot resonator antenna

This paper presents a novel coupled receiver–transmitter metasurface (MS) which is used to realize a high-aperture-efficiency Fabry–Perot resonator antenna. The unit cell of the MS adopts a slot-coupling procedure to realize energy transmission from the receiver patch to the radiator patch. This approach makes it easier to independently control the transmission magnitude and phase. Based on this characteristic, the transmission coefficients of different unit cells on the MS can be optimized by a genetic algorithm. Then, nearly uniform electric amplitude and phase distribution across the aperture field of the antenna are achieved. Therefore, the gain and aperture efficiency of the antenna are improved. A prototype of the optimized antenna is fabricated and measured to validate the design. The measured gain of the fabricated antenna reaches 17.3 dBi with an aperture efficiency of 94.5%. A higher aperture efficiency is obtained with the proposed antenna which has a low profile and simple structure.
Construction of a Competitive Endogenous RNA Network Associated with Angiogenesis in Ischemic Stroke Using a Bioinformatics Approach

Ischemic stroke (IS) is one of the leading causes of death and disability worldwide, and angiogenesis is an important target for its treatment. However, the mechanism of angiogenesis of endogenous RNA (ceRNA) in IS remains poorly understood. This study aims to explore the role of ceRNA in the angiogenesis of IS, to provide a possible target for the treatment of IS. First, GSE22255 (mRNA), GSE55937 (miRNA) and GSE102541 (lncRNA) were downloaded from the Gene Expression Omnibus (GEO) database. Then, a total of 21 mRNA modules were identified by WGCNA analysis, among which NR4A1, PTGS2, ERG3, and VEGFA in cyan module were identified as key genes for angiogenesis. Subsequently, 1454 differentially expressed lncRNAs (DELs) were screened and a lncRNA-mRNA co-expression network consisting of 40 lncRNAs and 4 mRNAs was constructed by correlation analysis. Then, 16 differentially expressed miRNAs (DEMs) were screened and the online database was used to predict the interaction information between miRNAs, lncRNAs and mRNAs. The angiogenesis-related ceRNA network was finally constructed based on ceRNA theory, in which 1 DEL was predicted as a ceRNA for 2 DEMs to regulate 4 hub genes, specifically, HCG18-has-let-7i-5p-NR4A1/PTGS2/ERG3, HCG18-miR-148a-3p-PTGS2/ERG3/VEGFA interaction axis. The results of gene set enrichment analysis (GSEA) suggest that HCG18 may regulate angiogenesis through NF-kB-TNFA signaling pathway, hypoxia and other pathways. In conclusion, the above genes may be new biomarkers and potential targets for the treatment of IS.
Wheat sRNA transcriptome reveals R-gene associated distinct temporal miRNA profiles in response to stem rust and leaf rust diseases

Wheat rusts, the dreadful fungal diseases caused by members of the Puccinia genus remain as a major threat to global wheat production and food security. The R-gene mediated resistance has been employed as an efficient approach to develop rust resistant varieties. However, evolution of new fungal races and infection strategies put forward the urgency of unravelling novel genomics assisted molecular players, including non-coding RNAs for rust disease management. MicroRNAs are crucial regulators of genes associated with plant growth, development, abiotic and biotic stress responses. In this study, high throughput small RNA sequencing was performed on susceptible and resistant wheat near-isogenic lines inoculated with stem rust and leaf rust, together with mock inoculated controls. While miRNA mining in stem rust inoculated libraries revealed a total of twenty-six known and seven novel miRNAs, the search in leaf rust libraries culminated with twenty-two known and four novel miRNAs. The identified candidate miRNAs constituted both guide and passenger miRNA strands along with their isomiRs. Temporal expression pattern of differentially expressed miRNAs pinpoints their possible role during the progress of infection. Comparative analysis provides a better understanding of altered miRNA profiles associated with Sr36 and Lr45 disease resistance genes in response to stem rust and leaf rust, respectively. Also, the disclosure of guide strand, passenger strand and a variant of novel-Tae-miR02 with various sub-genomal origins might serve as an important common link between stem rust and leaf rust defense mechanisms downstream to the respective R-genes. Further, cis-regulatory elements that modulate MIR genes, targets of identified miRNAs related to various signal transduction pathways, and miR-SSRs which might be useful for rust disease control, are the emphasized attributes of our results. The outcome from this simultaneous study of miRNA profiles among two rust diseases and further characterization of the identified miRNAs can contribute to the expanding rust disease management programs.
Variable impact of rice (Oryza sativa) on soil metal reduction and availability of pore water Fe2+ and Mn2+ throughout the growth period

ABSTRACT Flooding of wetland or agricultural soils can result in substantial alteration of the pore water trace metal profiles and potentially also influence the bioavailability of other trace elements adsorbed to the insoluble oxides. Experimental microcosms were used to quantify the impact of rice (Oryza sativa) plants across an entire growing cycle on the concentrations of Mn2+ and Fe2+ in two soil types (red sodosol and grey vertosol). Two water management treatments were included: a standard flooded treatment and a saturated treatment (−3 kPa). Soil pore water profiles were established from samples collected at four sampling depths (2.5, 7.5, 15 and 25 cm) on 50 occasions. Fe2+ and Mn2+ concentrations were higher in flooded soil than in saturated soil and greatest at a depth of 7.5 cm. The presence of rice plants increased Mn2+ concentrations in flooded soils, but tended to decrease Mn2+ concentrations in saturated soils. The influence of rice plants on Fe2+ concentrations was greatest at a depth of 7.5 cm. Changes in soil pore water Fe2+ and Mn2+ concentrations due to the presence of rice plants were correlated with flowering and reproduction.