Miracle-dz/UniFAR-FTUs huggingface dataset:
Electrical stunning in South American catfish (Rhamdia quelen) using direct current waveform: welfare and meat quality

ABSTRACT: In Brazil, humane slaughter regulation is in use since 2000; however it is not applied to fish. This paper studied parameters for electrical stunning using direct current waveform in South American catfish (Rhamdia quelen) and its subsequent effects on muscular pH and rigor mortis. Seventy fish were allocated into two groups. In group 125, fish were stunned using 125 Volts (V), 30 Hz, duty cycle of 90% and 1.3 Amp (A) applied for 30 s; in group 400, fish were stunned with 400 V, 30 Hz, duty cycle of 27%, 0.9 A, for 30 s. Unconsciousness time was determined through behavioural assessment. After slaughter, ten fish from each group were refrigerated for both measurements muscular pH and rigor mortis index (RMI) at 0, 3, 6, 24, 72 and 120 h. In 125, 14.4% (5/35) of fish were not effectively stunned, in contrast with 400 in which 100% of fish (35/35) were effectively stunned. The unconsciousness duration was higher in 400 group (87.7±16.1 s) in contrast with group 125 (66.6 ± 16.1 s). Until 6 h post mortem ninety percent of fish reached maximum rigor mortis (RMI=100%).
Heterogeneity of the Head and Neck Squamous Cell Carcinoma Immune Landscape and Its Impact on Immunotherapy

Head and neck squamous cell carcinomas (HNSCCs) are highly aggressive, multi-factorial tumors in the upper aerodigestive tract affecting more than half a million patients worldwide each year. Alcohol, tobacco, and human papillomavirus (HPV) infection are well known causative factors for HNSCCs. Current treatment options for HNSCCs are surgery, radiotherapy, chemotherapy, or combinatorial remedies. Over the past decade, despite the marked improvement in clinical outcome of many tumor types, the overall 5-year survival rate of HNSCCs remained ∼40–50% largely due to poor availability of effective therapeutic options for HNSCC patients with recurrent disease. Therefore, there is an urgent and unmet need for the identification of specific molecular signatures that better predict the clinical outcomes and markers that serve as better therapeutic targets. With recent technological advances in genomic and epigenetic analyses, our knowledge of HNSCC molecular characteristics and classification has been greatly enriched. Clinical and genomic meta-analysis of multicohort HNSCC gene expression profile has clearly demonstrated that HPV+ and HPV- HNSCCs are not only derived from tissues of different anatomical regions, but also present with different mutation profiles, molecular characteristics, immune landscapes, and clinical prognosis. Here, we briefly review our current understanding of the biology, molecular profile, and immunological landscape of the HPV+ and HPV- HNSCCs with an emphasis on the diversity and heterogeneity of HNSCC clinicopathology and therapeutic responses. After a review of recent advances and specific challenges for effective immunotherapy of HNSCCs, we then conclude with a discussion on the need to further enhance our understanding of the unique characteristics of HNSCC heterogeneity and the plasticity of immune landscape. Increased knowledge regarding the immunological characteristics of HPV+ and HPV- HNSCCs would improve therapeutic targeting and immunotherapy strategies for different subtypes of HNSCCs.
Metis: Optimal Task Allocation Framework for the Edge/Hub/Cloud Paradigm

Increased demands for real-time decision support and data analytics facilitate the need of performing significant computing away from the cloud and onto the IoT devices. In this paper, we propose Metis, a mathematical programming based framework, able to deliver an optimal task allocation when targeting a specific performance metric. Metis is currently suitable for systems which consist of an edge node, an intermediate node and the cloud infrastructure, but can be expanded to multi-Edge/Hub systems. Evaluation results using a real-life use-case scenario demonstrate that Metis provides the optimal task allocation by minimizing the overall latency of the system while taking into consideration the application's specific requirements and resource constraints of each computational unit.
Reliabilitas test-retest dyer tennis test revision

Banyak faktor yang mempengaruhi pencapaian prestasi olahraga, salah satu faktor yang mempengaruhi pencapaian prestasi pada cabang olahraga tenis lapangan adalah keterampilan dalam memukul bola. Instrumen tes yang valid dan reliabel diperlukan untuk mengetahui tingkat keterampilan pukulan untuk menentukan dan memantau hasil latihan. Tujuan penelitian ini adalah untuk mengetahui reliabilitas tes akurasi pukulan tenis lapangan menggunakan Dyer Tennis Test Revision. Pemilihan Dyer Tennis Test Revision sebagai intrumen tes pengukuran keterampilan akurasi pukulan tenis disesuaikan dengan subjek penelitian yaitu petenis pemula mahasiswa. Sembilan puluh tujuh mahasiswa pemula (51 laki-laki dan 46 perempuan) yang mengambil mata kuliah tenis lapangan menjadi subjek dalam penelitian ini. Test retest digunakan dalam penelitian ini. Hasil analisis product moment menunjukkan bahwa nilai r adalah 0,975. Hasil terebut bermakna bahwa Dyer Tennis Test Revision dapat diandalkan untuk mengukur unjuk kerja keterampilan tenis berbasis keakuratan. Dyer Tennis Test Revision juga merupakan alat ukur yang mudah dan murah yang dapat digunakan guru/dosen/pelatih untuk memantau kemajuan pemain. Test-retest reliability for dyer tennis test revision Abstract Many factors affect sports performance, one of the factors that affect performance in tennis is the skill in hitting the ball. A valid and reliable test instrument is needed to determine the skill level of the stroke to determine and monitor the results of the training. The purpose of this study was to determine the reliability of the hitting tennis accuracy test using the Dyer Tennis Test Revision. The choice of Dyer Tennis Test Revision as a test instrument for measuring the accuracy of tennis strokes was adjusted to the research subject, namely student novice tennis players. Ninety-seven (beginner students (51 male and 46 female) who took tennis court courses were the subjects in this study. The retest test was used in this study. The results of the product moment analysis show that the value of r is 0.975. These results mean that the Dyer Tennis Test Revision can be relied upon to measure the performance of tennis skills based on accuracy. Dyer Tennis Test Revision is also an easy and inexpensive measuring tool that teachers / lecturers / coaches can use to monitor player progress.
Drug-related problems in patients with rheumatoid arthritis

Background Rheumatoid arthritis (RA) patients are at risk of acquiring drug-related problems (DRPs). However, there has been a lack of studies on DRPs in patients with RA up to now. Method This retrospective study was conducted in a tertiary hospital in Malaysia from January 2012 to December 2017 with the purpose of assessing DRPs in RA patients and factors associated with its occurrence. A total of 200 patients who had received pharmacological treatment for RA were enrolled in this study. Assessment of DRPs was based on the Pharmaceutical Network Care Europe tool version 5.01. Results A total of 289 DRPs with an average of 1.5±1.0 problems per patient were identified, in which 78.5% of the population had at least one DRP. The most common DRPs encountered were adverse reactions (38.8%), drug interactions (33.6%), and drug-choice problems (14.5%). Factors that had significant association with the occurrence of DRPs were polypharmacy (P=0.003), multiple comorbidities (P=0.001), hyperlipidemia (P=0.009), osteo (P=0.040), and renal impairment (P=0.044). These data indicated that the prevalence of DRPs was high among RA patients. Conclusion Early identification of types of DRPs and associated factors may enhance the prevention and management of RA.
A generalized Bayesian nonlinear mixed‐effects regression model for zero‐inflated longitudinal count data in tuberculosis trials

In this paper, we investigate Bayesian generalized nonlinear mixed‐effects (NLME) regression models for zero‐inflated longitudinal count data. The methodology is motivated by and applied to colony forming unit (CFU) counts in extended bactericidal activity tuberculosis (TB) trials. Furthermore, for model comparisons, we present a generalized method for calculating the marginal likelihoods required to determine Bayes factors. A simulation study shows that the proposed zero‐inflated negative binomial regression model has good accuracy, precision, and credibility interval coverage. In contrast, conventional normal NLME regression models applied to log‐transformed count data, which handle zero counts as left censored values, may yield credibility intervals that undercover the true bactericidal activity of anti‐TB drugs. We therefore recommend that zero‐inflated NLME regression models should be fitted to CFU count on the original scale, as an alternative to conventional normal NLME regression models on the logarithmic scale.
Accuracy of lung ultrasonography in the diagnosis of respiratory distress syndrome in newborns

Abstract Objectives: Lung ultrasonography has become an important tool in the diagnosis and follow-up of lung diseases in the newborn period in recent years. Lung diseases such as pneumonia, transient tachypnea of the newborn and respiratory distress syndrome (RDS) can be diagnosed with lung ultrasound. Lung USG is a simple, practical and low-cost method in diagnosing neonatal RDS. Methods: This study was performed in Hacettepe University Neonatal Intensive Care Unit From December 2015 to February 2017. Forty patients who were diagnosed as RDS and given surfactant [200 mg/kg poractant alfa (CUROSURF®, Chiesi, Italy) intratracheal Suspension] were included in the study. Lung ultrasonography was performed at the bedside by a single expert, once before surfactant treatment and three times after surfactant treatment. Post-treatment ultrasonographic examinations were carried out at 2, 4 and 6 h after surfactant treatment. Results: Before surfactant treatment, lung USG findings of patients were as follows: lung consolidation with air bronchograms (40/40), B-pattern (36/40), pleural line abnormalities (37/40), severe B-pattern (12/40) and disappearance of A-lines in all USG of patients. In the second hour of treatment, we did not see any valuable change or difference in lung USG findings of patients. The only change was the disappearance of air bronchograms and lung consolidation in five patients. Four hours after treatment we saw a reduction in lung consolidation in 14 patients, B-pattern had decreased in 15 patients, the appearance of A-lines and spared areas. But after 6 h, we started to see A-lines clearly, loss of B-pattern, an appearance of pleural line, and lung sliding in nearly all patients except three. Conclusion: Ultrasound is nonionizing and gives no hazard to the patient. Also, making it bedside is feasible and comfortable than other methods. Responsive and unresponsive patients to surfactant treatment can be determined in the early course of the disease and the cases needing re-treatment can be diagnosed easily by performing lung USG. This review focuses on ultrasonographic changes of the lung after surfactant treatment in premature newborns
Dynamic application reconfiguration on heterogeneous hardware

By utilizing diverse heterogeneous hardware resources, developers can significantly improve the performance of their applications. Currently, in order to determine which parts of an application suit a particular type of hardware accelerator better, an offline analysis that uses a priori knowledge of the target hardware configuration is necessary. To make matters worse, the above process has to be repeated every time the application or the hardware configuration changes. This paper introduces TornadoVM, a virtual machine capable of reconfiguring applications, at runtime, for hardware acceleration based on the currently available hardware resources. Through TornadoVM, we introduce a new level of compilation in which applications can benefit from heterogeneous hardware. We showcase the capabilities of TornadoVM by executing a complex computer vision application and six benchmarks on a heterogeneous system that includes a CPU, an FPGA, and a GPU. Our evaluation shows that by using dynamic reconfiguration, we achieve an average of 7.7× speedup over the statically-configured accelerated code.
Associations between Depression, Depressive Symptoms, and Incidence of Dementia in Latin America: A 10/66 Dementia Research Group Study

Background: A growing body of evidence suggests that depression is related to dementia in older adults. Previous research has been done in high-income countries and there is a lack of studies in low- and middle income countries (LMICs). Objective: To examine the relationship between depressive symptoms and incidence of dementia in a population-based study of older adults in Latin America. Methods: The study is a part of the 10/66 Dementia Research Group’s population survey and includes 11,472 older adults (baseline mean age 74 years) from Cuba, Dominican Republic, Mexico, Peru, Puerto Rico, and Venezuela. The baseline examinations were done in 2003-2007 and the follow-up examinations 4 years later. Semi-structured psychiatric interviews gave information about ICD-10 depression and sub-syndromal depression (i.e., ≥4 depressive symptoms) at baseline. Information on dementia were collected at the follow-up examination. Competing risk models analyzed the associations between depression and incidence of dementia and the final model were adjusted for age, sex, education, stroke, and diabetes. Separate analyses were conducted for each site and then meta-analyzed by means of fixed effect models. Results: At baseline, the prevalence of depression was 26.0% (n = 2,980): 5.4% had ICD-10 depression and 20.6% sub-syndromal depression. During the follow-up period, 9.3% (n = 862) developed dementia and 14.3% (n = 1,329) deceased. In the pooled analyses, both ICD-10 depression (adjusted sub-hazard ratio (sHR) 1.63, 95% confidence interval (CI) 1.26–2.11) and sub-syndromal depression (adjusted sHR 1.28, 95% CI: 1.09–1.51) were associated with increased incidence of dementia. The Higging I2 tests showed a moderate heterogeneity across the study sites. Conclusion: Our findings suggest that late-life depression is associated with the incidence of dementia in LMICs in Latin America, which support results from earlier studies conducted in high-income countries.
Web Tool for Path Analysis in Wireless Sensor Networks to Improve Their Performance

Wireless Sensor Networks (WSNs) are based on tiny autonomous devices, usually named motes or nodes, and are used in many monitoring applications, such as environment, habitat, precision horticulture, etc. These motes are power-limited and most energy is wasted through the communication process when exchanging data packets. Because these motes are quite simple, with low power transmission and simple antennas, these networks usually run multihop routing protocols in order to forward packets between one mote to the sink, or the collector node, using the other motes as relaying motes. Basically, these routing protocols try to find out new routes within these wireless network, optimizing different criteria, such as number of hops, network life time, throughput, etc. However, if something is going wrong within the network (big interferences, problems in one node, unstable routes, etc.), due to the lack of information retrieved related to management purpose, it is difficult to fix it and many times the outcome is critical, leaving the network out of service. To avoid these issues, we show in this paper a web tool for path monitoring and analysis within the WSN in order to improve their performance and to plan ahead this kind of problems. In this paper, we show the different alternatives in the design of this tool and the different rules applied when trying to find out the inner problems in the network. In this kind of network, using the routing packets, we can get further information of the inner problems and infer them based on the statistics and rules applied.
Machine Learning Based Real‐Time Image‐Guided Cell Sorting and Classification

Cell classification based on phenotypical, spatial, and genetic information greatly advances our understanding of the physiology and pathology of biological systems. Technologies derived from next generation sequencing and fluorescent activated cell sorting are cornerstones for cell‐ and genomic‐based assays supporting cell classification and mapping. However, there exists a deficiency in technology space to rapidly isolate cells based on high content image information. Fluorescence‐activated cell sorting can only resolve cell‐to‐cell variation in fluorescence and optical scattering. Utilizing microfluidics, photonics, computation microscopy, real‐time image processing and machine learning, we demonstrate an image‐guided cell sorting and classification system possessing the high throughput of flow cytometer and high information content of microscopy. We demonstrate the utility of this technology in cell sorting based on (1) nuclear localization of glucocorticoid receptors, (2) particle binding to the cell membrane, and (3) DNA damage induced γ‐H2AX foci. © 2019 International Society for Advancement of Cytometry
Enrichment and Characterisation of a Mixed-Source Ethanologenic Community Degrading the Organic Fraction of Municipal Solid Waste Under Minimal Environmental Control

The utilisation of the organic fraction of municipal solid waste as feedstock for bioethanol production could reduce the need for disposal of the ever-increasing amounts of municipal solid waste, especially in developing countries, and fits with the integrated goals of climate change mitigation and transport energy security. Mixed culture fermentation represents a suitable approach to handle the complexity and variability of such waste, avoiding expensive and vulnerable closed-control operational conditions. It is widely accepted that the control of pH in these systems can direct the fermentation process toward a desired fermentation product, however, little empirical evidence has been provided in respect of lignocellulosic waste substrates and different environmental inocula sources. We evaluated ethanol production from the organic fraction of municipal solid waste using five different inocula sources where lignocellulose degradation putatively occurs, namely, compost, woodland soil, rumen, cow faeces and anaerobic granular sludge, when incubated in batch microcosms at either initially neutral or acidic pH and under initially aerobic or anaerobic conditions. Although ethanol was produced by all the inocula tested, their performance was different in response to the imposed experimental conditions. Rumen and anaerobic granular sludge produced significantly the highest ethanol concentrations (∼30 mM) under initially neutral and acidic pH, respectively. A mixed-source community formed by mixing rumen and sludge (R + S) was then tested over a range of initial pH. In contrast to the differences observed for the individual inocula, the maximal ethanol production of the mixed community was not significantly different at initial pH of 5.5 and 7. Consistent with this broader functionality, the microbial community analyses confirmed the R + S community enriched comprised bacterial taxa representative of both original inocula. It was demonstrated that the interaction of initial pH and inocula source dictated ethanologenic activity from the organic fraction of municipal solid waste. Furthermore, the ethanologenic mixed-source community enriched, was comprised of taxa belonging to the two original inocula sources (rumen and sludge) and had a broader functionality. This information is relevant when diverse inocula sources are combined for mix culture fermentation studies as it experimentally demonstrates the benefits of diversity and function assembled from different inocula.
The Diversity and Ecological Role of Non-scleractinian Corals (Antipatharia and Alcyonacea) on Scleractinian Cold-Water Coral Mounds

Cold-water coral carbonate mounds, created by framework-building scleractinian corals, are also important habitats for non-scleractinian corals, whose ecology and role are understudied in deep-sea environments. This paper describes the diversity, ecology and role of non-scleractinian corals on scleractinian cold-water coral carbonate mounds in the Logachev Mound Province, Rockall Bank, NE Atlantic. In total ten non-scleractinian species were identified, which were mapped out along eight ROV video transects. Eight species were identified as black corals (three belonging to the family Schizopathidae, one each to the Leiopathidae, Cladopathidae, and Antipathidae and two to an unknown family) and two as gorgonians (Isididae and Plexauridae). The most abundant species were Leiopathes sp. and Parantipathes sp. 2. Areas with a high diversity of non-scleractinian corals are interpreted to offer sufficient food, weak inter-species competition and the presence of heterogeneous and hard settlement substrates. A difference in the density and occurrence of small vs. large colonies of Leiopathes sp. was also observed, which is likely related to a difference in the stability of the substrate they choose for settlement. Non-scleractinian corals, especially black corals, are an important habitat for crabs, crinoids, and shrimps in the Logachev Mound Province. The carrier crab Paromola sp. was observed carrying the plexaurid Paramuricea sp. and a black coral species belonging to the genus Parantipathes, a behavior believed to provide the crab with camouflage or potentially a defense mechanism against predators. More information on the ecophysiology of non-scleractinian corals and fine-scale local organic matter supply are needed to understand what drives differences in their spatial distribution and community structure.
Tensile Behavior of Geometrically Irregular Bagasse Fiber

In the present work, an investigation on the surface topography and geometry variation of bagasse fibers was correlated with their mechanical properties via image analysis. The fibers were tested under a universal tensile testing machine and the diameter of the fibers was calculated using images obtained in a digital microscope. Furthermore, surface characterization and quantification were also performed using images obtained via SEM. The results showed that the surface roughness of alkali-treated bagasse fiber increased compared to that of the untreated one. Moreover, it was observed that the diameter variation of bagasse fiber along its length and among different fibers is not only variable but also unpredictable. The tensile test results revealed that bagasse fibers showed lower stress at a rupture with considerable scatter. It can be inferred that the synergistic effect of thick bagasse fiber, bagasse fiber diameter variations along its length and among fibers, and the fiber fracture mechanism establishes a local condition for fracture and resulted in such variations in tensile properties. Finally, the results clearly showed that the two-parameter Weibull fit the experimental data fairly well (R2=0.97). The Weibull modulus (m) was found to be 1.7, indicating that the strength distribution is high.