Miracle-dz/UniFAR-FTUs huggingface dataset:
Longitudinal Variation of Trace Elements Concentration in Human Milk in Jeddah, Saudi Arabia@@@التغير الزمني لتركيز العناصر النادرة في الحليب البشري بمدينة جدة - المملكة العربية السعودية

Information on the secretion of trace elements in human milk is needed, not only in order to estimate the intake by the breast-fed infant, but also as a starting point for recommendations of intakes from other types of infant foods and minerals diets during lactation. Duration of lactation, particularly in the first few weeks, markedly affects concentrations of some elements, including iron, zinc and manganese. Zinc, copper, iron, chromium, cadmium, manganese and lead were measured in breast milk samples collected from 11 healthy lactating mothers. Samples were collected from day of delivery to 15 days postpartum. The mean (±SD) concentration values in ppb of Zn, Cu, Fe, Mn, Cr, Cd and Pb in the morning samples are 2330.8±3.1, 491.9±1.8, 164.3±1.4, 18.2±0.3, 7.1±0.3, 2.03±0.01 and 1.47±0.01 respectively while those in the afternoon samples are 2434.6±2.9, 562.1±2.1, 299.9±2.0, 24.5±0.5, 20.2±0.7, 4.6±0.1 and 1.76±0.1 respectively. The concentrations of the elements in milk samples collected in the afternoon are higher than those in the morning samples. There is an apparent decline in the mean concentration levels as the stage of lactation progressed. Our results are also compared with the corresponding values of different countries available in literature. It is observed that the concentration levels of the elements studied in breast milk of Saudi mothers are well comparable with the values reported elsewhere in the world.
Objective estimation of loudness growth using tone burst evoked auditory responses

Northeastern University Graduate School of Engineering Dissertation Title: Objective estimation of loudness growth using tone burst evoked auditory responses Author: Ikaro Garcia Araujo da Silva Department: Department of Electrical and Computer Engineering Approved for Dissertation Requirement for the Doctor of Philosophy Degree ________________________________________________________________ Dissertation Adviser Date ________________________________________________________________ Dissertation Reader Date _______________________________________________________________ Dissertation Reader Date ________________________________________________________________ Department Chair Date
How should we measure intraocular pressure in the era of coronavirus disease 2019? Balancing infectious risk, cleaning requirements, and accuracy

Purpose of review Accurate and precise measurement of intraocular pressure (IOP) is a vitally important component of the ophthalmic examination. There are multiple methods of tonometry, each of which has considerations in light of the ongoing severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) pandemic. This review discusses these considerations and compares various tonometer methods with the gold standard of Goldmann applanation tonometry (GAT). Recent findings The SARS-CoV-2 virus may spread via droplets, microaerosols, or direct contact in the ophthalmology clinic. Tonometry poses a high risk of contamination. The accuracy and reliability of various methods of tonometry with single-use disposable equipment has been compared with Goldmann applanation tonometry. Summary Goldmann applanation tonometry with disposable applanation tips, Tono-pen, and iCare employ single use tips to decrease the risk of cross-contamination of infectious agents. Review of the literature demonstrates good correlation between these devices and GAT, although the published level of agreement between devices varies.
In the Excess of Splintering Urbanism: The Racialized Political Economy of Infrastructure

ABSTRACT This intervention discusses the relevance of settler colonialism and racial capitalism in the study of splintering urbanism, as an uneven socio-spatial process that simultaneously produces dispossession and racial differentiation. Reflecting on our work in Palestine and South Africa we grapple with what leaks in processes of splintering urbanism and we propose “excess” as a provisional analytical space to focus on the racialized political economies of infrastructure. We argue that excess is a generative concept: to render legible the often-silenced histories, geographies, and experiences produced and managed through infrastructure; to reflect on the way stratified social relations materialize in and through urban networks; and to speculate on liberating horizons. In doing so, we consider infrastructure as an archive, a lively ethnographic repository where modern histories of excess live, and where the contested material relations of racialized political economies unravel.
Endomyocardial Biopsy in Pediatric Myocarditis and Dilated Cardiomyopathy: A Tool in Search for a Role

Endomyocardial biopsy (EMB) is a well-known diagnostic tool for the investigation and treatment of myocardial diseases and remains the gold standard for the diagnosis of myocarditis. Due to its invasiveness, with a complication rate ranging from 1 to 15%, its role in the diagnostic work-up of pediatric heart failure is not well established. The aim of this review is to define the role of EMB as diagnostic technique in the work up of children presenting with severe left ventricular dysfunction with the support of our center experience.
Regional and Distant Metastasis of Oral Squamous Cell Carcinoma in a Male Castrated Llama: A Case Report

A 19-year-old male castrated llama presented with a 3-year history of tooth root abscesses and an osseous mass on the left mandible. Surgical excision of the affected teeth and mass was performed, and histopathologic review indicated that the mass was an oral squamous cell carcinoma. The patient was admitted to the hospital again 4 months later in severe respiratory distress with submandibular edema, and bicavitary effusion. Necropsy results revealed regional and distant metastatic squamous cell carcinoma.
Energy Savings Potential of Radiative Cooling Technologies

Pacific Northwest National Laboratory (PNNL), with funding from the U.S. Department of Energy’s (DOE’s) Building Technologies Program (BTP), conducted a study to estimate, through simulation, the potential cooling energy savings that could be achieved through novel approaches to capturing free radiative cooling in buildings, particularly photonic ‘selective emittance’ materials. This report documents the results of that study.
Moderation religion in the era society 5.0 and multicultural society

The government is mainstreaming the strengthening of religious moderation (MB), which is one of the national priority programs. Religious moderation is a perspective, attitude, and practice of religion in common life, by embodying the essence of religious teachings that protect human dignity and build the common good, based on the principles of fairness, balance, and obeying the constitution as a national agreement. People need to know that religious moderation is a way together, religious people, to protect Indonesia. Of course, they do not want to suffer the fate of their brothers and sisters in a country where people's lives are chaotic, and even their country is threatened with disbandment, due to socio-political conflicts with different religious interpretations. Therefore, multicultural society must learn from existing experiences. The purpose of this study is to describe moderation in religion in the era of society 5.0 and multicultural society: studies based on legal, religious, and social reviews. This research is a qualitative research with descriptive method. The approach used is a phenomenal approach, while the data collection technique uses observation, interviews, and distribution of questionnaires. Data is collected by collection and selection. The processed data is interpreted based on socio-multicultural techniques.
The Role of Justice in Government Institution and The Impact on Job Satisfaction

In order to ensure an effective and successful organization, the aspect of justice must be upheld by every management. Management concerned about the issue of justice in the organization can change the organization in a positive direction to make the organization in a state with the principles, stance, and determination. This paper examines the relationship between organizational justice and job satisfaction. A survey method was employed to gather 164 questionnaires from Pejabat Setiausaha Kerajaan (SUK) Selangor employees. The outcomes of SmartPLS showed that procedural justice, distributive justice, and procedural justice might act as an essential antecedent of extrinsic job satisfaction. Besides, procedural justice and interactional justice also may act as an essential antecedent of intrinsic job satisfaction. Conversely, distributive justice does not have any significant relationship with intrinsic job satisfaction. Further, implication, discussion, and conclusion are elaborated.
An Advanced Attention-Enhanced Hybrid Deep Learning Model for WBSNs’ Gait Pattern Recognition

Background: The deep learning techniques have been attracted increasing attention on wireless body sensor networks (WBSNs) gait pattern recognition that has a great contribution to monitoring gait change in clinical application. However, in existing studies, there are some challenging issues such as low generalization performance and no potential interpretation for gait variability. It is necessary to search for the advanced deep learning models to resolve these issues. Method: A public WARD database including acceleration and gyroscope data acquired from each subject wearing five sensors was selected, and the gait with different combination of on-body multi-sensors is considered as a WBSNs’ gait pattern. An advanced attention-enhanced hybrid deep learning model of DCNN and LSTM for WBSNs’ gait pattern recognition was proposed. In our proposed technique, the combination model of DCNN with LSTM is firstly to discover the spatial-temporary gait correlation features. And then the attention mechanism is introduced to exploit the more valuable intrinsic nonlinear dynamic correlation gait characteristics associated with gait variability hidden in spatial-temporary gait space obtained. This significantly contributes to enhancing the generalization performance and taking insight on gait variability in a certain anatomical region. Results: The ten gait patterns are randomly selected from WARD database to evaluate the feasibility of our proposed method. Our experiments demonstrated the superior generalization ability of our method to some models such as CNN-LSTM, DCNN-LSTM. Our proposed model could classify ten gait patterns with the highest accuracy and F1-score of 91.48% and 91.46%, respectively. Moreover, we also found that the classification performance of a certain gait pattern was almost same best when the combinations of three or five on-body sensors were employed respectively, suggesting that our method possibly take insight on gait variability in a certain anatomical region. Conclusion: Our proposed technique could feasibly discover the more intrinsic nonlinear dynamic correlation gait characteristics associated with gait variability from on-body multi-sensors gait data, which greatly contributed to best generalization performance and potential clinical interpretation. Our proposed technique would hopefully become a powerful tool of monitoring gait change in clinical application.
Contribution of legume and non-legume trees to litter dynamics and C-N-P inputs in a secondary seasonally dry tropical forest

Naiara Machado Neves , Ranieri Ribeiro Paula , Eduardo Alves Araujo , Rodrigo Gomes Gorsani , Karla Maria Pedra de Abreu , Sustanis Horn Kunz (1) Many studies have investigated nutrient cycling in seasonally dry tropical forests, but few have assessed the contribution of different functional groups to these processes. Here, we investigated general litter dynamics patterns and the contribution of legume and non-legume trees to litter dynamics and carbon (C), nitrogen (N), and phosphorus (P) inputs in a fragment of secondary seasonally dry tropical forest after half a century of forest succession in the Atlantic Forest biome in Brazil. Between 2016 and 2017, we quantified litterfall production, canopy cover, forest floor, and soil C and N storage in 11 permanent plots distributed in the fragment. Vegetation identity and structure had been previously assessed. We quantified the seasonal inputs of leaf litter and C, N, and P separately for each functional group (legume and non-legume tree species). We also analyzed the correlations between the variables measured for each functional group with the variables measured at the plot level. Litter dynamics and nutrient input were affected by climate and functional group. Litterfall production during the two driest months was three times higher than during the other periods of the year, suggesting that species synchronicity is likely to minimize drought-related damage on trees. Legume trees had twice the basal area attained by non-legume trees, but while legumes were larger, non-legumes were more abundant and dominant in the smaller diameter class. Legumes deposited twice as much N during the driest period of the year as non-legumes. Although leaf litter, C, and P inputs by legumes were generally higher than those of non-legumes, these differences during the dry season were not statistically significant. We also found that the legume variables correlated better with the plot-level variables, compared to the non-legume functional group. Our results also indicated potential effects of the leaf litter and nutrient inputs by the legume functional group on the decomposition constant and, consequently, on the time of forest floor decomposition. Further studies should assess the role of different functional groups in litter dynamics and nutrient inputs in seasonally dry tropical forests.
Shape Optimization of a Ducted Rotor System for Aerodynamic Performance

A parametric study is carried out to optimize the design of a ducted rotor system. Computational Fluid Dynamics simulations were conducted for several designs to generate system performance characteristics data to develop surrogate models. Verfication of the accuracy of the surrogate models in representing the system performance was conducted and thereafter the surrogate models were used to investigate the design space to determine the optimum design. The study showed that the surrogate model approach is able to predict the performance within 3% of the computed data.
Integrated weed management in drum seeded rice

Field experiment was conducted during the Samba season of 2002–03. Seven weed control treatments were tested in randomized block design with three replications. The yield attributes and grain yield were significantly increased by the weed control treatments. Pre emergence application of pretilachlor + safener + conoweeding + hand weeding followed by hand weeding twice recorded higher grain yield of 5.83 and 5.69 t/ha respectively.
Towards a Tractable Exact Test for Global Multiprocessor Fixed Priority Scheduling

Scheduling algorithms are called “global” if they can migrate tasks between cores. Global scheduling algorithms are the de-facto standard practice for general purpose Operating Systems, to balance the workload between cores. However, the exact schedulability analysis of real-time applications for these algorithms is proven to be weakly NP-hard. Despite such a hardness, the research community keeps investigating the methods for an exact schedulability analysis for its relevance and to tightly estimate the execution requirements of real-time systems. Due to the NP-hardness, the available exact tests are very time and memory demanding even for sets of a few tasks. On another hand, the available sufficient tests are very pessimistic, despite consuming less resources. Motivated by these observations, we propose an exact schedulability test for constrained-deadline sporadic tasks under global multiprocessor fixed-priority scheduling scheduler, which is significantly faster and consumes less memory, compared to any other available exact test. To derive a faster test, we exploit the idea of a state-space pruning, aiming at reducing the number of feasible system states to be examined by the test. The resulted test is multiple orders of magnitude faster with respect to other state-of-the-art exact tests. Our C++ implementation is publicly available.
Classification of color features in butterflies using the Support Vector Machine (SVM)

Research in digital images is expanding widely and includes several sectors. One sector currently being carried out research is in insects; specifically, butterflies are used as a dataset. A total of 890 types of butterflies divided into ten classes were used as a dataset and classified based on color. Ten types of butterflies include Danaus plexippus, Heliconius charitonius, Heliconius erato, Junonia coenia, Lycaena phlaeas, Nymphalis antiopa, Papilio cresphontes, Pieris rapae, Vanessa atalanta, Vanessa cardui. The process of extracting color features on butterfly wings uses the RGB method to become HSV color space with color quantization (CQ). The purpose of adding CQ is that the computation process is carried out faster without reducing the image's information. In the color feature extraction process, the image is converted into 3-pixel sizes and normalized. The process of normalizing the dataset has the aim that the value ranges in the dataset have the same value. The 890 butterfly dataset was classified using the Support Vector Machine (SVM) method. Based on this research process, the accuracy of the 256x160 pixel size is 72%, the 420x315 pixel is 75%, and the 768x576 pixel is 75%. The test results on a system with a 768x576 pixel get the highest results with a precision value of 74.6%, a recall of 72%, and an f-measure of 73.2% Keywords—image processing; classification; butterflies; color features; features extraction
Role of Knowledge, Subjective Norms, Perceived Behavior Control, and Attitudes in Predict Pro-Environmental Behavior

Background: One of the public universities as the green campus that prioritizes reforestation to overcome environmental issues. All stakeholders including students are expected to behave pro-environmentally. This study aimed to explain whether or not there is an influence of knowledge, subjective norm, perceived behavior control, and attitude towards pro-environmental behavior (plastic waste) for university students. Methods: This research was conducted under a quantitative approach with 5 valid and reliable variables. In addition, regression tests and structural equation models are used. The respondents of this study were 399 university students from all faculties of Hasanuddin University. Results: Perceived Behavior Control has the greatest effect on pro-environmental behavior compared to other variables. However, environmental knowledge has the smallest effect on subjective norms, perceived behavior control, and attitude. Conclusion: All variables affect predict pro-environmental behavior.
Understanding the Predictors of Rural Customers’ Continuance Intention toward Mobile Banking Services Applications during the COVID-19 Pandemic

Abstract The purpose of this study is to examine the antecedents of customers’ continuance intention to use mobile banking services applications (MBSAs) during the COVID-19 pandemic. Grounding on the Technology Acceptance Model, Theory of Planned Behavior, and Cognitive Load Theory, an integrated conceptual framework was proposed and tested incorporating psychological factors (i.e., cyberchondria, perceived anxiety) and situational factors (i.e., social distance, institutional support). Data were collected from 250 rural customers and analyzed with Structural Equation Modeling. The results showed that subjective norms, perceived ease of use, social distance, attitudes, cyberchondria, and institutional support influenced users’ continuance intention. Moreover, the results showed that perceived anxiety, subjective norms, perceived ease of use, and perceived usefulness influenced users’ attitudes. Besides, the findings suggested that attitudes mediate the influence of subjective norms, usefulness, ease of use, and social distance on users’ intention. This study is unique in terms of investigating pandemic-specific psychological and situational factors in explaining consumers’ continuance intention. Therefore, the service providers and professionals should be cautious in designing MBSAs so that consumers’ usage behaviors may not vary during an unprecedented situation (e.g., COVID-19). The theoretical and practical implications were discussed.
Designing the Undersea Internet of Things (IoT) and Machine-to-Machine (M2M) Communications Using UnderWater Acoustic MIMO Networks

This review paper tries to assess the spectral-efficient (SE) and energy-efficient (EE) performance of underwater acoustic multiple-input multiple-output (UWA/MIMO) networks. Since UWA/MIMO networks define the cutting-edge communications platform of the future’s undersea IoT and M2M networks, the factors that influence their SE and EE performance are thoroughly examined in this paper. The contribution of this paper is three-fold. First, the performance of UWA/MIMO networks is studied with regard to appropriate transmission, SE and EE metrics. The SE and EE performance of these networks drastically depends on the used frequency band, the transmitted power, the MIMO scheme properties, the power consumption profile of the deployed UWA system equipment and the topological characteristics of MIMO configurations. In order to achieve the transition from traditional UWA single-input single-output (UWA/SISO) networks to UWA/MIMO networks, a new singular value decomposition MIMO (SVD/MIMO) module, which also permits the theoretical computation of the aforementioned transmission, SE and EE metrics in UWA networks, is first presented. Second, based on the aforementioned transmission, SE and EE metrics, a SE/EE trade-off relation is proposed in order to investigate the combined SE and EE performance of UWA/MIMO networks. On the basis of this SE/EE trade-off relation, it is first revealed that today’s UWA system equipment cannot support the further IoT broadband exploitation with satisfactory EE performance. Third, the concepts of multi-hop UWA communications and standard UWA topologies are outlined and promoted so that further SE and EE improvement can concurrently occur. These concepts are quantitatively validated by the SE and EE metrics as well as the SE/EE trade-off curves. Based on the findings of this paper, suitable transmitted power levels and better design of UWA/MIMO configurations are promoted so that: (i) SE and EE requirements can be satisfied at will; and (ii) EE-oriented high-bitrate M2M communications network design can be established. Citation: Lazaropoulos, A. G. (2016). "Designing the Undersea Internet of Things (IoT) and Machine-to-Machine (M2M) Communications Using UnderWater Acoustic MIMO Networks. " Trends in Renewable Energy, 2(1), 13-50. DOI: 10.17737/tre.2016. 2.1. 0017