Miracle-dz/UniFAR-FTUs huggingface dataset:
THE ASSESSMENT OF RIVER ECOLOGY AND HABITAT USING A TWO-DIMENSIONAL HYDRODYNAMIC AND HABITAT MODEL

The assessment of river ecology is an integral part of river planning and management today. In any project, the simulation and quantification of river habitat and ecology is as important as the simulation of the hydrodynamics of the river. Currently in Taiwan, the use of one-dimensional models, such as Phabsim and Rhabsim, are widespread in the evaluation of river ecology and habitat. These models use data from the river cross-section and bed roughness coefficient to estimate habitat area. However, the use of these models is limited in small-scale or complex river conditions. This study applies a two-dimensional hydrodynamic and habitat model in combination with a continuous flow net to simulate topography and river dynamics. The 2-D model is used to estimate habitat area and its results are compared with the results of the 1-D model. Further analysis is given on the applicability and suitability of 2-D model use on small-scale or complex river conditions.
Mating Stimulates the Immune Response and Sperm Storage-Related Genes Expression in Spermathecae of Bumblebee (Bombus terrestris) Queen

Bumblebee queens have remarkable spermathecae that store sperm for year-round reproduction. The spermathecal gland is regarded as a secretory organ that could benefit sperm storage. Queen mating provokes substantial physiological, behavioral, and gene expression changes. Here, the transcriptomes of spermathecae were compared between virgins and mated queens of the bumblebee, Bombus terrestris L. , at 24 h post mating. Differentially expressed genes were further validated by real time quantitative PCR and immunofluorescence assay. In total, the expression of 11, 069 and 10, 862 genes were identified in virgins and mated queens, respectively. We identified that 176 differentially expressed genes between virgin and mated queen spermathecae: 110 (62.5%) genes were upregulated, and 66 (37.5%) genes were downregulated in mated queens. Most of the differentially expressed genes validated by RT-qPCR were concentrated on immune response [i.e., leucine-rich repeat-containing protein 70 (35.8-fold), phenoloxidase 2 (41.9-fold), and defensin (4.9-fold)] and sperm storage [i.e., chymotrypsin inhibitor (6.2-fold), trehalose transporter Tret1 (1.7-, 1.9-, 2.4-, and 2.4-fold), and heterogeneous nuclear ribonucleoprotein A3 (1.2-, and 2.6-fold)] functions in the spermathecae of mated queens. Procollagen-lysine, 2-oxoglutarate 5-dioxygenase 1 (PLOD1) was hypothesized to promote the mating behavior according to RT-qPCR and immunofluorescence assay. The expression levels of most upregulated immune genes were decreased significantly at 3 days post mating. In conclusion, the external sperm transfer into spermathecae led to the significantly upregulated immune response genes in bumblebees. These gene expression differences in queen spermathecae contribute to understanding the bumblebee post mating regulatory network.
Electromyographic evaluation of spine and lower extremity muscles during repeated and sustained bodyweight deep-squat

Introduction. Squat is a preferred exercise included in strengthening and rehabilitation protocols due to its ability to recruit large muscles of the spine and lower extremities. Speed of performing movement and regular practice are known to influence muscle activation. However, muscle activation during fast-repeated bodyweight deep-squat and sustained deep squat remains less explored. Aim of Study. This study aimed at exploring muscle activation during fast and sustained bodyweight squat and observing the effect of habitual squat exposure on spine and lower extremity muscle strength and activation. Material and Methods. Forty healthy adults (30-45 years), with varying daily squat exposure, were recruited for this cross-sectional study following an institutional ethical approval. Superficial electromyography of the erector spinae, rectus abdominis, gluteus maximus, gluteus medius, vastus lateralis, biceps femoris and the gastrocnemius was recorded during a single controlled squat, repeated fast squat and sustained squat. Muscle strength was evaluated using a trunk-leg dynamometer. Results. Higher muscle activity was observed during the ascent phase (81-240% MVC) and the descent phase (76-292% MVC) of a single squat, whereas the sustaining squat demanded low muscle activity (27-58% MVC). Repeated fast squatting elicited 2.5--10 times greater muscle activation than sustained squat. Muscle activity did not vary significantly among people with varying squat exposure. A moderately strong negative correlation was observed between deep squat repetitions and age (r = –0.710, p ≤ 0.001), whereas a moderate positive correlation was observed between deep squat repetitions and force developed during trunk and leg dynamometry (r = 0.610, p < 0.001, r = 0.654, p < 0.001, respectively). Substantial co-activation of the erector spinae–rectus abdominis, biceps femoris–vastus lateralis and gluteus maximus–gluteus medius was observed during fast repeated squat. Conclusions. Repeated, dynamic, bodyweight deep-squatting exercises elicited greater muscle activation compared to sustained squat. Exercises over and above habitual activities of daily living involving sustained squatting are essential to obtain greater benefits in muscle strength.
Prognostics and Secure Health Management of Electronic Systems in a Zero-Trust Environment

Prognostics and health management (PHM) is a multifaceted discipline for the assessment of product degradation and reliability. PHM techniques have been used to detect naturally occurring faults and predict their impact on the system lifetime. An interesting question is whether these techniques could be used to detect faults that are maliciously induced. Maliciously induced faults could be due to hardware threats; e.g., electronic products that are recycled, remarked, defective, cloned, or tampered (through insertion of hardware trojans), which cause undesired system behavior such as information leakage, functional failure, and maliciously induced aging. The concern is that increased outsourcing in the fabrication of electronic products has made them susceptible to the insertion of hardware threats in untrusted manufacturing facilities. This paper overviews the need to implement PHM to ensure hardware security and how the PHM community can adapt its research to ensure safe, reliable, and secure operation of systems.
ELECTRONICALLY TUNABLE COMBLINE FILTER USING GALLIUM ARSENIDE VARACTOR TUNING DIODES

Electronically tunable microwave narrowband bandpass filters have wide applications in many military and commercial microwave systems. The filters are attractive because they exhibit fast tunability, have a reasonably wide tuning band, acceptable passband performance and are low in cost. These same requirements are admirably met by tunable combline bandpass filters where Gallium Arsenide (GaAs) varactors are utilized as the electronic tuning elements. This thesis presents the systematic design of a fast electronically tunable combline filter using GaAs varactor tuning diodes. These filters suffer from the effect of frequency dependent coupling between the filter resonators. A solution for this problem is presented in this thesis. The design method developed in this thesis also takes into account the effects of varactor parasitic elements. This design method consists of properly characterizing the tuning diodes, calculating the varactor parasitics from the measured results and designing new terminating matching circuits to yield improved and predictable filter performance over the tuning band.
A Novel Social Contextual Image Recommendation with HASC Algorithm

: Recommender systems usually need to compare a large number of items before users' most preferred ones can be found this process can be very costly if recommendations are frequently made on large scale datasets. To this paper right now, build up a hierarchical consideration model for social contextual image recommendation. Notwithstanding essential idle client enthusiasm modeling in the well known lattice factorization based recommendation, we recognize three key viewpoints (i.e., transfer history, social impact, and proprietor adoration) that influence every client's inactive inclinations, where every perspective condenses a contextual factor from the intricate connections among clients and images. In particular, by taking embeddings from best in class profound learning models that are customized for every sort of information, the hierarchical consideration system could figure out how to go to contrastingly to pretty much substance. At long last, broad exploratory outcomes on genuine world datasets obviously show the prevalence of our proposed model.
Determination of some of the lectins? immunohistochemistry profile of the dog testis and epididymis

1 testis and epididymis 2 Abstract: Lectins are substances composed of proteins or glycoproteins that 3 specifically bond to carbohydrates on the cell surfaces or inside the cell. Lectins are used 4 to identify the carbohydrate types in cellular membrane or cytoplasm. The aim of the 5 study was to identify the location and distribution of the four types of lectins PNA (Peanut 6 agglutininArachis hypogea), WGA (Wheatgerm AgglutininTriticum vulgaris), Con A 7 (Conconavalin A-Canavalia ensiformis) and SBA (Soybean Agglutinin-Glycine max) in 8 dog testes and epididymites. The testes and the body of 10 adult dogs were collected from 9 an animal shelter after castration. Following the standard histological procedures, lectin 10 histochemistry was conducted on paraffin sections. In epididymal ducts and seminiferous 11 tubules, the reaction was positive for PNA, WGA and SBA. The deferent duct reaction 12 was positive in all types of lectins. Based on the study data, we can suggest that the 13 analysis of the results could be beneficial for cell and tissue culture techniques, as well as 14 the stem cell research, sperm maturation, canine capacitation and decapacitation. 15 16
Impact of soaking and germination procedures on polyphenols, tannins, and phytate contents in some Egyptian pulses

Whereas the nutritional value of pulses is generally recognized, the presence of antinutritional elements in their composition limits their use. Effect of soaking and germination process on removal or reducing of (total phenolic, tannins and phytic acid) content of commonly consumed pulses in Egypt were studied. Four pulses namely faba bean (Vicia Faba) Giza 843, chickpea (Cicer arietinum) Giza 1, cowpea (Vigna unguiculata) krymy 7 and soybean (Glycine max) Giza 111 were used in this research. The total phenolic compounds, tannins, and phytic acid content of four pulses were significantly decreased after soaking for 12 hours and germination treatment for varied periods (24, 48, and 72 hours). On a dry weight basis, the phenolic compounds content of raw pulses was 370.9, 132.5, 763.4, and 249.4 mg/100g, for faba bean, chickpea, cowpea, and soybean respectively, while tannin content was 684.5, 488.1, 390.9, and 225.5 mg/100g, and phytic acid content was 1050.6, 719.2, 987.2, and 1076.2 mg/100g. Soaking for 12 hours significantly decreased the concentration of total phenolics, tannins and phytic acid contents of the investigated pulses by 4.0-22.7%, 7.1-26.5% and 7.0-15%, respectively. Germination process for 72 hours reduced total phenolics, tannins and phytic acid contents of studied pulses by 21.4 -56.9%, 23.9-64.8% and 54.6-65.0%, respectively. From the obtained results it could be concluded that the reduction of antinutritional factors content was increased with the progress of both soaking and germination periods in all studied pulses.
An End-to-End Learning Framework for Early Prediction of Battery Capacity Trajectory

Accurately predicting the entire capacity trajectory using early-life data enables more efficient cell design, operation, maintenance, and evaluation for second-life use. To accomplish this challenging task, we propose an end-to-end learning framework combining empirical capacity fade models and data-driven machine learning models, in which the two types of models are closely coupled. First, we evaluate the accuracy of a library of relevant empirical models which have been shown to model the observed capacity fade of Li-ion cells with reasonable accuracy. After selecting a power-law model, we formulate an end-to-end learning problem that simultaneously fits the chosen powerlaw model to estimate the capacity fade curve and trains an elastic net to estimate the best-fit parameters of the empirical model. Our proposed end-to-end learning framework is evaluated using a publicly available battery dataset consisting of 124 lithium-iron-phosphate/graphite cells charged with various fast-charging protocols. This dataset was split into training, primary test, and secondary test datasets. Our method performs on par with existing early prediction methods in terms of cycle life prediction, attaining rootmean-square errors of 112 cycles and 165 cycles for primary and secondary test datasets, respectively. In addition to the cycle life prediction, our method possesses a unique ability to predict the entire capacity trajectory.
A Study of Method Development and Validation for Simultaneous Estimation of Pemetrexed and Cisplatin Using RP-HPLC

A novel, simple and accurate high performance liquid chromatographic method has been development with quantitative analysis of Pemetrexed and Cisplatin using Agilent eclipse XDB 150x4.6mm, 3. 5μ column with a flow rate of 1ml/min. The buffer containing 1ml of ortho phosphoric acid dissolved in 1 lt of HPLC water, and the mixture of two components like Buffer and Acetonitrile in the ratio of 40:60 is used as mobile phase. The detection was carried out at 265nm. The proposed method shows good linearity in the concentration range from 50μg/ml to 750μg/ml for Pemetrexed and 1 μg/ml to 15 μg/ml of Cisplatin. Precision and recovery study results are in between 98-102%. In entire robustness conditions % RSD is below 2.0%. Degradation has minimum effect in stress condition and solutions are stable for 24hrs. Method validation is carried out according to ICH guidelines and the parameters are precision, accuracy, specificity, stability, robustness, linearity, limit of detection and limit of quantification are evaluated and the values are found to be within the acceptable limit.
Neglected and underutilized crop species the key to improving soil nutritional security for fighting poverty, hunger and malnutrition in north-western IGP: A review

Far too many individuals are suffering from hunger and under nutrition: nearly 690 million people are undernourished; 144 million children suffer from stunting, a sign of chronic under nutrition; 47 million children suffer from wasting, a sign of acute under nutrition; and in 2018, and 5.3 million children died before their fifth birthdays, in many cases as a result of under nutrition. The promotion of NUS in any country, regardless of its state of development, is an opportunity to promote and make use of the crop diversity and associated food traditions present at the local level, which are the unique expression of the work of generations of farmers and users. Safeguarding such a heritage is an important contribution to protecting the identity of local communities and reinforcing their self-esteem and confidence to counteract threats of standardization of local food culture arising from globalization trends and changes in life styles. NUCS are important source of household incomes and substantially contribute to poverty reduction. However, most of the species are rich in nutrients and have some proven medicinal values and the promotion of their use would help in combating malnutrition and improving the health status of the local populations. The100 g edible portion of dried seeds of Macrotyloma geocarpum contain water 9.7 g, energy 1457 kJ (348 kcal), protein 21.3 g, fat 1.1 g, carbohydrate 66.6 g, fibre 5.5 g, Ca 103 mg, P 392 mg, Fe 15.0 mg, zinc (4.42 to 4.92 mg), potassium (235.73 to 341.94 mg), thiamin 0.76 mg, riboflavin 0.19 mg, and niacin 2.3 mg and the content of essential amino acids per 100 g food is arginine (9.3 g), histidine (2.1 g), and phenylalanine (3.2 g), tryptophan 155 mg, lysine 1280 mg, methionine 267 mg, phenylalanine 1125 mg, threonine 738 mg, valine 1209 mg, leucine 1485 mg, and isoleucine 871 mg. Essential in pursuing the use-enhancement of NUS is the adoption of multi-stakeholder, multidisciplinary and participatory approaches. Because of the central role of women in deploying NUS diversity in everyday life, interventions to enhance their capacities in farming, adding value, marketing and cooking these species are critical. The potential of neglected and underutilized crops with respect to how they can contribute to tropical challenges, such as food and nutrition security, human health and well–being, climate change adaptation, the environment, and employment creation in poor rural communities in India. Promising neglected and underutilized species (NUS) that are nutrient-dense, climate-resilient, profitable, and locally available/adaptable are fundamental to improving dietary and production diversity. This review paper collected literature has been an overview for improving Soil Nutritional Security for Fighting Poverty, Hunger and Malnutrition to address one aspect of the challenge that faces us if we want to diversify crops and increase the contribution of productivity and profitability that underutilized crops towards food security.
Multilayer Perceptron with Auto encoder enabled Deep Learning model for Recommender Systems

In this modern world of ever-increasing one-click purchases, movie bookings, music, healthcare, fashion, the need for recommendations have increased the more. Google, Netflix, Spotify, Amazon and other tech giants use recommendations to customize and tailor their search engines to suit the user’s interests. Many of the existing systems are based on older algorithms which although have decent accuracies, require large training and testing datasets and with the emergence of deep learning, the accuracy of algorithms has further improved, and error rates have reduced due to the use of multiple layers. The need for large datasets has declined as well. This research article propose a recommendation system based on deep learning models such as multilayer perceptron that would provide a slightly more efficient and accurate recommendations.
Measurement of charge collection efficiency profiles of CMOS active pixel sensors

Recently, CMOS Active Pixels Sensors (APS) have become strong candidates as pixel detectors to be used in high energy physics experiments. A very good resolution and an excellent detection efficiency could be obtained with these detectors. In this paper we have experimentally studied, by means of charged particle beams at a grazing angle, for four different CMOS APS the diffusion properties of electron/hole pairs formed by ionizing particles interacting within the sensitive silicon layer beneath the sensor surface. By averaging many events originating at the same distance from the surface of the device, we extracted with great accuracy the charge collection efficiency (CCE) profiles of the four sensors under test. Basic transport parameters (minority carrier diffusion length, minority carrier lifetime, width of the region at maximum CCE) have been extracted using a mathematical procedure based on the extended Ramo's theorem.
Teaching approach of ACLS in cardiac arrest with pregnancy

Cardiac arrest is the abrupt loss of heart function in a person. Cardiac arrest can be lifesaving and it is important to understand the causes of maternal mortality to have an understanding of the unique pathogenic factors that may have precipitated the maternal cardiac arrest. Therefore, we aim to look into the common pitfalls that both medical students and new physicians face in the recognition, diagnosis, and management of these conditions. All Cardiac arrest pregnant patients who are requiring urgent management in the ED, with Emergency Physicians for teaching approach protocol. Appropriate for assessment and priorities for Cardiac arrest pregnant patients by training protocol to Emergency Physicians. Based on patients’ causes of Cardiac arrest pregnant women. Collection of all possible available data about the Pregnancy with cardiac arrest in the Emergency department. By many research questions to achieve these aims so a midline literature search was performed with the keywords “critical care”, “emergency medicine”, “principals of resuscitation in Pregnancy ", "ACLS with cardiac arrest in pregnancy”. Literature search included an overview of recent definition, causes and recent therapeutic strategies. All studies introduced that the initial diagnosis of Pregnancy with cardiac arrest and their therapy is a serious condition that face patients of the emergency and critical care departments. Maternal cardiac arrest is a complex clinical scenario, and the resuscitation of the pregnant woman involves multi-specialties and complex care decisions. This review is hopefully enough to strengthen the knowledge of new physicians and, hopefully with the recommendations, reduce the rates of false diagnoses.
The Data Lake Architecture Framework

: During recent years, data lakes emerged as a way to manage large amounts of heterogeneous data for modern data analytics. Although various work on individual aspects of data lakes exists, there is no comprehensive data lake architecture yet. Concepts that describe themselves as a “data lake architecture” are only partial. In this work, we introduce the data lake architecture framework. It supports the deﬁnition of data lake architectures by deﬁning nine architectural aspects, i.e., perspectives on a data lake, such as data storage or data modeling, and by exploring the interdependencies between these aspects. The included methodology helps to choose appropriate concepts to instantiate each aspect. To evaluate the framework, we use it to conﬁgure an exemplary data lake architecture for a real-world data lake implementation. This ﬁnal assessment shows that our framework provides comprehensive guidance in the conﬁguration of a data lake architecture.
Approximate Travelling Distances of water mist droplets in tunnels

The small droplets used in water mist systems can be transported long distances by the tunnel longitudinal ventilation flow. This paper investigates the problem using a simple model of droplet aerodynamics to calculate the landing distances under different ventilation flows and conditions common in modern tunnels. The problem is simplified by considering a single droplet falling from the tunnel ceiling and reaching the road deck. Random unimodal spatial turbulence is included in the model and the expression for the drag coefficient is calibrated against experimental results of falling droplets in a small tunnel 0.3 m in diameter and 6 m long. The results from this simple model provide for small droplets very good agreement (less than 2.3 % difference) with CFD code Fluent calculations in a 3D domain using RANS turbulence modelling. The results for the scenario of a modern tunnel with 3 m·s -1 ventilation flow show that most water mist droplets, those less than 170 μm, are carried between 60 and 130 m downstream before they reach the deck, and 130 and 750 m for flow of 10 m·s -1 . A significant proportion of the water mist is carried away for very large distances for similar or larger ventilation velocities. According to these results, the zone lengths for the water mist systems should be considerably longer than the 50 m long stipulated by the World Road Association (PIARC) for flows up to 10 m·s -1 . An alternative strategy, in order to reduce the lengths of nozzle zone, would be to reduce the ventilation flow during the water mist response.