Miracle-dz/UniFAR-FTUs huggingface dataset:
Material Deprivation: Measuring Poverty by Counting Necessities Households Cannot Afford

Des données exclusives provenant d’un sondage canadien de 2013 sont utilisées dans l’évaluation de la défavorisation matérielle. Cet indicateur de pauvreté non monétaire regroupe 17 produits de première nécessité. Si l’on considère que les personnes qui ne peuvent s’offrir deux de ces produits ou davantage sont défavorisées sur le plan matériel, la défavorisation matérielle touche 18,6 pour cent des Canadiens, peut-on constater. De ce groupe, seulement 43 pour cent ont aussi un faible revenu. Parmi ces derniers, seulement 50 pour cent sont défavorisés sur le plan matériel. Des conditions de vie associées à une situation de pauvreté coïncident donc régulièrement avec un revenu supérieur au seuil de pauvreté, et un faible revenu n’entraîne pas nécessairement la défavorisation matérielle. Les indicateurs de pauvreté non monétaire comme la défavorisation matérielle livrent, par conséquent, de l’information inédite et pertinente nous permettant de comprendre la pauvreté et les politiques propres à y remédier au Canada.
On the Wireless Microwave Sensing of Bacterial Membrane Potential in Microfluidic-Actuated Platforms

The investigation of the electromagnetic properties of biological particles in microfluidic platforms may enable microwave wireless monitoring and interaction with the functional activity of microorganisms. Of high relevance are the action and membrane potentials as they are some of the most important parameters of living cells. In particular, the complex mechanisms of a cell’s action potential are comparable to the dynamics of bacterial membranes, and consequently focusing on the latter provides a simplified framework for advancing the current techniques and knowledge of general bacterial dynamics. In this work, we provide a theoretical analysis and experimental results on the microwave detection of microorganisms within a microfluidic-based platform for sensing the membrane potential of bacteria. The results further advance the state of microwave bacteria sensing and microfluidic control and their implications for measuring and interacting with cells and their membrane potentials, which is of great importance for developing new biotechnologically engineered systems and solutions.
Simultaneous Determination of Dolutegravir and Lamivudine in Human Plasma by LC-MS/MS

: A rapid, simple, sensitive and selective LC-MS/MS method has been developed and validated for quanti? cation of the Dolutegravir and Lamivudine in plasma samples. The analytical procedure involves a liquid–liquid extraction method using Emtricitabine as an internal standard (IS). The precision and accuracy data have to fulfill the requirements for quantification of the analytes in biological matrices to generate data for bioequivalence and bioavailability investigations. The chromatographic separation was achieved on a Hypurity Advance (4.6, 50 mm, 5µ) column using a mobile phase consisting of 0.1% formic acid buffer–acetonitrile (20:80, %v/v) at ? ow rate of 0.8 mL/min. The API-4000 LC-MS/MS was operated in the multiple-reaction monitoring mode using electrospray ionization. The total run time of analysis was 3 min and elution of Dolutegravir, Lamivudine and Emtricitabine (IS) occurred at 1.06, 1.84 and 0.92 min, respectively. A detailed validation of the method was performed as per the US Food and Drug Administration guidelines. The method was validated in terms of linearity, accuracy, precision, specificity, limit of detection and limit of quantitation. The standard curves found to be linear in the range of 0.10–30.0 ng/mL for Dolutegravir and 20.2–6026 ng/mL for Lamivudine, with a coef? cient of correlation of =0.99 for both the compounds. Dolutegravir and Lamivudine were found to be stable in a plasma stability studies, viz. bench-top, autosampler, re-injection, wet-extract and repeated freeze– thaw cycles. The coefficient of variation was =15% for intra-and inter-batch assays. The assay is suitable for pharmacokinetic study samples as demonstrated by its specificity, precision, accuracy, recovery, and stability characteristics.
100kW grid-connected renewable energy system design for an educational campus in Tarlac: A step towards green energy campus development

This paper discussed the design of a grid-connected renewable energy system for an education institution. One-year energy consumption and the hourly load of the institution were determined to design the energy system. HOMER Pro and What’sBest! 16.0 for Microsoft Excel optimization tools were used in the design, consisting mainly of wind turbines and solar PV. Weibull probability function and the simplified irradiance model were used to predict the wind turbine and solar PV power output in the Microsoft Excel spreadsheet. Results showed that the mean velocity at 50 m reference height is 3.886 m/s. The annual solar PV system energy produced based on the HOMER Pro simulation and What’sBest! was found to be 170,939 kWh/yr and 189,454 kWh/yr, respectively. HOMER Pro and What’sBest! iteration results showed that the optimum number of components are 303 and 0 for solar PV and wind turbine, with net present costs of Php 23,388,612 and Php 22,769,478, respectively. With this optimum result, emissions can be reduced by up to 51%, a financial saving of at least Php 1, 970, 145 per year can be achieved with payback period of 5 years.
Bone Age Estimation with X-ray Images Based on EfficientNet Pre-training Model

Human bones have different characteristics in different development stages, so the estimation of bone age can reflect the growth and development level of individuals relatively accurately. Bone age estimation aims to predict the biological age of children, which plays an important role on the diagnosis of some pediatric endocrine diseases. Tradition methods are carried out by doctors, and it is not effective in accuracy and speed. To this end, we proposed a deep-learning based method for bone age estimation. Based on the training set of more than 10000 X-ray images of hand bones from Radiological Society of North America (RSNA), this paper studies the processing, segmentation, feature extraction of X-ray hand bone images by using computer image processing and artificial intelligence learning methods, and uses convolution neural network to process samples and analyze them automatically. The main research work and achievements are as follows: (1) Pre-processing of X-ray hand bone image, unifying the size and cutting, reducing the image area without hand bone; (2) The gray-scale image is transformed into a three-channel image, and pre-processing by EfficientNet of ImageNet. Then convolution neural network is used to learn the features of X-ray hand bone image and evaluate it automatically. Finally, the network is evaluated by the minimum mean square error, so that the minimum mean square error is as close as possible to the minimum value. Through the neural network, the bone age from X-ray hand bone image can be quickly judged, and then it can be applied to clinical research.
Total Phenolic Content and Antioxidant Activity of Leaves and Drupes in Major Greek Olive Varieties

Leaves and drupes of the olive varieties "Koroneiki", "Lianolia Kerkyras", "Mastoidis", "Arbequina", "Adramytini", "Megaritiki", "Gaidourelia", "Kalamata", "Konservolia" and "Chalkidiki", were collected at different seasons during the years 2008 & 2009 and investigated for their total phenolic content and antioxidant activity. Total phenolic content and antioxidant activity were determined according to Folin-Ciocalteau and DPPH assays, respectively. Different varieties presented differences in the total phenolic content and total antioxidant activity per tissue. For both years, most varieties showed higher total phenolic content in new season leaves than in green and black drupes. New season leaves on April showed the highest total phenolic content than the leaves of September and December of the same year, with a few exceptions. There was a positive correlation between the antioxidant activity and the total phenolic content. Highest phenolic content was accompanied by a lower IC50 value and as a result higher antioxidant activity.
The Effects of Intensive Postrelease Correctional Supervision on Recidivism: A Natural Experiment

In July 2018, the Minnesota Department of Corrections revised the criteria it uses to place soon-to-be-released prisoners on intensive supervision by shifting from mostly offense-based conditions to those based exclusively on risk. In doing so, this policy change provided a unique opportunity to evaluate not only the impact of intensive supervision on recidivism but also whether risk-based policies lead to better outcomes. Using Cox regression and negative binomial regression on a sample of 1,818 persons released in 2018, we found that intensive supervised release (ISR) significantly reduced the hazard for general, felony, and violent reoffending. We also found, however, that ISR significantly increased the risk of a technical violation revocation. The findings from our cost–benefit analysis showed that, despite the relatively high costs it incurred, ISR was a cost-effective intervention because it reduced reoffending for those with a higher risk of committing serious, violent crimes.
Hashtag activism and message frames: social network analysis of Instagram during the COVID-19 pandemic outbreak in Indonesia

During the Coronavirus pandemic, social media played an essential role in disseminating information online by utilizing various message frames and hashtags. Instagram is a popular social media worldwide that are used to spread various information. This study applied the social network analysis (SNA) approach as a theoretical framework and explored how the relationship between users on the Instagram platform related to Coronavirus outbreaks. Moreover, we also investigate how the relationship between users and their hashtags. SNA techniques were used for visualizing network models using an undirected graph, measuring network attributes, and centrality measures to find the most influential users in the network. A total of 10,403 posts based on #wabahcorona on Instagram from February 28, 2020, to May 18, 2020, were analyzed. Based on the analysis results, hashtags play an important role in this topic. Degree centrality measure as connectivity number shows that only two user accounts can make it into the list’s top ten. When using the Eigenvector centrality measure, there are no users in the top ten. The modularity measure detects 122 distinct communities that show the dense connection of nodes in the networks. Betweenness centrality measure shows that there are six related hashtags to COVID-19 pandemic out of ten hashtags. They are #wabahcorona, #covid19, #corona, #viruscorona, #dirumahaja, and #coronavirus and the four are Islamic related hashtags. The Islamic related hashtags are caused by the date of Ramadhan month.
A 41‐year bioclimatology of thermal stress in Europe

The bioclimatology of thermal stress over Europe between 1979 and 2019 was analysed using the Universal Thermal Climate Index (UTCI) derived from ERA5‐HEAT reanalysis. The bioclimatology of different European regions was assessed using Köppen–Geiger climate classification. The annual number of hours with heat stress (UTCI > 32°C) increased significantly during the study period for all the analysed Köppen–Geiger climate subclasses, showing also a clear increase towards southern Europe. The highest percentage of hours (20% of all hours) with cold stress (UTCI < −13°C) occur over northern Europe. A significant increasing trend (>0.05 hr·year−1) in the number of hours with heat stress was observed for 23 out of 32 analysed European cities representative for the Köppen–Geiger climate subclasses. For these cities not only the number of hours with heat stress has increased but also the heat stress is more persistent, while the number of cases and the persistence of the periods with cold stress have decreased over the last four decades. The UTCI values showed a statistically significant increase between 0.6 and 3.2°C for all the analysed cities over the study period reflecting the rising of global mean temperatures.
A RARE CASE REPORT ON MYXOEDEMA COMA

Myxoedema coma is a sporadic life-threatening complication of severe hypothyroidism with high mortality. Altered mental status and hypothermia are the main symptoms of myxoedema coma. Apart from that, hypoxia, bradycardia, hypotension, anemia, and hyponatremia would be present. Few patients present comatose with severe myxoedema. Presenting coma may mislead the diagnosis of this condition. A female patient presented with fever, breathlessness, and disorientation was admitted. First diagnosed to have electrolyte imbalance and treatment was started accordingly. The patient did not show much of an improvement, and it took a day to identify the presence of severe hypothyroidism. Treating hypothyroidism resulted in an advance in the patient condition. Patients’ previous history of hypothyroidism was not informed during admission. It is always tough to diagnose myxoedema coma when the patients’ previous history of hypothyroidism is unknown. Hence, it is still essential to have hypothyroidism in mind while treating patients with comatose. This case has been reported to alert physicians in diagnosing myxoedema coma patients and to proceed with the treatment at the earliest.
Canine leptospirosis in stray and sheltered dogs: a systematic review

Abstract The aim of this systematic review was to investigate the prevalence of leptospirosis among stray and sheltered dogs worldwide. Six databases were searched, which resulted in the retrieval of 476 articles. Sixty articles were selected for analysis according to 10 quality criteria. Among the selected papers, 26 papers [43.4% (26/60)] met five of the 10 quality criteria established, 10 papers [16.7% (10/60)] met three criteria, nine papers [15.0% (9/60)] met four criteria, six papers [10.0% (6/60)] met six criteria, four papers [6.7% (4/60)] met eight criteria, and three papers [5.0% (3/60)] met nine of the 10 criteria, whereas two papers [1.7% (1/60)] met two and seven [1.7% (1/60)] criteria. Publications originated mainly from the Americas [45.0% (27/60)] and in the last 16 years (2003–2019) [81.7% (49/60)], and most of the sampled dogs were stray dogs [65.0% (39/60)]. The most commonly used diagnostic test for leptospirosis was the microscopic agglutination test [78.4% (47/60)] followed by polymerase chain reaction [21.7% (13/60)], and the most common serovars were Canicola [71.4% (35/49)], Icterohaemorrhagiae [65.3% (32/49)], Grippotyphosa [40.8% (20/49)], and Pomona [40.8% (20/49)]. In conclusion, our results showed that Leptospira spp. are present in unowned dogs worldwide; however, the low-methodological quality of the recovered cross-sectional studies precluded a meta-analysis.
Efficacy of Ozone Treatment on Mycotoxins and Fungal Reduction in Artificially Contaminated Soft Wheat Grains

The effects of O3 concentration, exposure time and grain mass were evaluated on the levels of deoxynivalenol, aflatoxins and total fungal count (TFC) in wheat grains, using a full 23 factorial design. Grain samples were contaminated with fungal conidia and spiked with mycotoxins standards and then submitted to ozonation treatments. The most significant reductions obtained for deoxynivalenol and total aflatoxins corresponded to 64.3 and 48.0%, respectively. TFC reduced approximately 3.0 cycles log cfu/g of wheat grain. O3 concentration and exposure time influenced (P < 0.05) positively the reductions of both mycotoxins and TFC, while the grain mass had a negative effect on both responses. The most significant reduction in TFC and mycotoxin levels was achieved by using 60 mg/L of O3 for 300 min, with 2 kg samples. Gaseous O3 can be considered an excellent method for remediation of these contaminants. Practical Applications Gaseous ozonation is an interesting nonthermal technology that can be applied to reduce fungal and mycotoxin contamination in wheat grains (Triticum aestivum L.). The O3 concentration and exposure time positively influence reductions in mycotoxins and fungi count, while grain mass has a negative effect on both variables. Using 60 mg/L of O3 at 300 min of exposure and 2 kg grain samples (11.3% moisture content) is possible to obtain reductions of 3.0 cycles log cfu/g in total fungal count, 64.3% in DON levels and 48.0% in total aflatoxin levels. Data found in this research should contribute in greater interest of ozonation by the food industry and consequently a wider popularization of ozonized products by consumers.
EFFICACY OF GASEOUS OZONE IN COMBINATION WITH VACUUM COOLING AND PRE-WASHING FOR THE INACTIVATION OF Escherichia coli O157:H7 ON FRESH PRODUCE

48 INTRODUCTION . 49 MATERIALS AND METHODS . 51 RESULTS AND DISCUSSION . 58 3. Effect of pre-washing and gaseous ozone treatment for the inactivation of Escherichia coli O157:H7 on baby spinach and Romaine lettuce . 67 ABSTRACT . 67 INTRODUCTION . 69 MATERIALS AND METHODS . 71 RESULTS AND DISCUSSION . 81 REFERENCES . 90. 67 INTRODUCTION . 69 MATERIALS AND METHODS . 71 RESULTS AND DISCUSSION . 81 REFERENCES . 90
The Relationship between the Purchasing Managers’ Index (PMI) and Economic Growth: The Case for Poland

: Purpose: The article aims to analyze and evaluate the relationship between the Purchasing Managers’ Index PMI (economic sentiment indicator) and GDP dynamics in the Polish economy. The subject of detailed research was the possibility of forecasting Poland’s economic situation using a model built based on the PMI sentiment indicator. Approach/Methodology/Design: The study used data on GDP dynamics, EUR/PLN and USD/PLN exchange rates, as well as two indicators of economic sentiment prepared by independent institutions for Poland: the PMI and ESI indicator. The analysis was based on quarterly data for the period from the third quarter of 1998 to the second quarter of 2019 (84 observations). PMI data came from the bankier.pl website, ESI data from the European Commission database, GDP dynamics data from the World Bank database, and exchange rate information was taken from the stooq.pl website. The analysis contained in the article was performed using the ARDL and ECM models. Findings: The analysis showed that the model based on PMI indicator and the model based on ESI indicator is too inaccurate to be considered a tool for forecasting the economic situation in Poland. It also turned out that extension of the model with other explanatory variables increased its accuracy of fitting to real data. Practical Implications: Even though the estimated models were significantly unreliable, it turned out that in periods of greater economic instability, the PMI model showed better forecasting properties. This indicates the possibility of using the PMI model, e.g., in times of recession or economic crisis. Originality/Value: The article broadened the research perspective for forecasting the Polish economy. The results set the directions for further development of research in this aspect. It turned out that probably the optimal solution would be to create different models for different phases of the business cycle, or a different rate of economic growth.
Synthesis, characterization, and photocatalytic activity of ZnS and Mn-doped ZnS nanostructures

Semiconductor quantum dots such as zinc sulfide have interesting potential applications, due to their size-dependent optical properties. These nanostructures can be used for applications in agriculture, environmental chemistry, and fluorescence microscopy. The great rise in nanotechnology has sparked the scientific community’s interest in nanomaterials for the use of photodegradation in aquatic bodies. Quantum Dots (QDs) such as ZnS nanoparticles (NPs) can absorb electromagnetic radiation and generate subsequently reactive oxygen species (ROS) directly in aqueous phase. The presence of ROS in aquatic environments can be used to destroy organic contaminants by photocatalysis. Previous studies had evidenced that the presence of impurities (i.e. copper, manganese, nickel) in the crystalline structures of QDs can enhance their optical properties and consequently their catalytic capacity. Because of this, the present investigation was focused on generating water stable ZnS nanoparticles with catalytic properties. In this work, we have synthesized pure and doped ZnS nanoparticles using a reflux method. The morphology of these QDs was characterized by transmission electron microscopy (TEM). We also studied the photocatalytic properties of these nanostructures. A red shift was observed in the photoluminescence peak of pure ZnS nanoparticles when they were doped with heavy metals. Pure ZnS NPs and Mn-doped ZnS NPs showed luminescent peaks at 444 nm and 596 nm, respectively. Photodegradation studies were evaluated in the presence of organic dyes like Tropaeolin O (TO) and different concentrations of quantum dots (250 ppm and 500 ppm). The photodegradation of TO was dependent on the QDs concentration and exposure time. The destruction of organic dyes in the presence of photo-excited ZnS nanoparticles is envisioned as a fast and clean technology. The destruction of organic dyes in the presence of photo-excited ZnS nanoparticles is envisioned as a fast and clean technology.
Analysis of ecology index of demospongia class (spons) in litoral zone of Cikabodasan beach of Sancang sea nature reserve Garut district

This research aims to determine the Ecological Index of Demospongia Classes (Sponges) in the Litoral Zone of Cikabodasan Beach, Sancang Sea Nature Reserve. The method used in this Research is descriptive method with quantitative approach and sampling using purposive sampling techniques assisted with line transects and quadrate transects in identifying species from the Demospongia Class. The sampling process was carried out by dividing the study site into three observation stations with a distance between stations 92 m. Each station consists of three line transects with a length of 100 m with a distance between the line transects 42 m. Each transect line is placed 10 transect squares with a size of 1x1m. Based on the results of the research, Demospongia class species were sampled as many 12 species with total of 272 individuals. The highest tecological index values were found in apply sinaaerophoba species with diversity index value of 0.3465, abundance index of 0.7556, evenness index of 0.1395, and dominance index of 0.0625. The lowest tecological index values are found in Haliclonacinerea and Plakortis sp with diversity index value of 0.00497, abundance index of 0.0333, evenness index of 0.0200, and dominance index of 0.0001 in each species.
“Want to come play with me?” Outlier subgroup discovery on spatio‐temporal interactions

Our lives are made of social interactions which can be recorded through personal gadgets as well as sensors capturing ubiquitous and social data. This type of data, such as spatio‐temporal data from the real‐time location of people, for example, can then be used for inferring interactions which can be translated into behavioural patterns. In this paper, we consider the automatic discovery of exceptional social behaviour from spatio‐temporal interaction data, focusing on two areas: exceptional subgroups and spatio‐temporal outliers – both in the form of descriptive patterns. For that, we propose a method for exceptional social behaviour discovery, combining subgroup discovery and network science methods for identifying behaviour that deviates from the norm. We also propose the use of two outlier detection metrics for identifying outliers, namely the Local Outlier Factor (LOF) and the Voronoi area. We applied the proposed method on synthetic data as well as two real datasets containing location data from children playing in the school playground. Our results indicate that this is a valid approach which is able to obtain meaningful knowledge from the data.