Miracle-dz/UniFAR-FTUs huggingface dataset:
Reparameterized inverse gamma regression models with varying precision

In this article, we propose a mean linear regression model where the response variable is inverse gamma distributed using a new parameterization of this distribution that is indexed by mean and precision parameters. The main advantage of our new parametrization is the straightforward interpretation of the regression coefficients in terms of the expectation of the positive response variable, as usual in the context of generalized linear models. The variance function of the proposed model has a quadratic form. The inverse gamma distribution is a member of the exponential family of distributions and has some distributions commonly used for parametric models in survival analysis as special cases. We compare the proposed model to several alternatives and illustrate its advantages and usefulness. With a generalized linear model approach that takes advantage of exponential family properties, we discuss model estimation (by maximum likelihood), black further inferential quantities and diagnostic tools. A Monte Carlo experiment is conducted to evaluate the performances of these estimators in finite samples with a discussion of the obtained results. A real application using minerals data set collected by Department of Mines of the University of Atacama, Chile, is considered to demonstrate the practical potential of the proposed model.
Estimating Wait Time and Passenger Load in a Saturated Metro Network: A Data-Driven Approach

The service quality of public transit, such as comfort and convenience, is an important factor influencing ridership and fare revenue, which also reflects the passengers’ perception to the transit performance. Passengers are frustrated while waiting to board a crowded train especially during the peak hours, while the fail-to-board (FtB) situation commonly exists. The service performance measures determined by deterministic passenger demand and service frequency cannot reflect the perceived service of passengers. With the automatic fare collection system data provided by Chengdu Metro, we develop a data-driven approach considering the joint probability of spatiotemporal passenger demand at stations based on posted train schedule to approximate passenger travel time (e.g., in-vehicle and out-of-vehicle times). It was found that the estimated wait time can reflect the actual situation as passengers FtB. The proposed modeling approach and analysis results would be useful and beneficial for transit providers to improve system performance and service planning.
Heavy Metal Contributions on Human Skin Disease near Cement Plant: A Systematic Review

AIM: The aim of this systematic review was to investigate heavy metal roles at skin disease of humans in the cement industrial area. METHODS: All research reporting a specific heavy metal, which could be increasing the risk of the disease, cause cement induced to skin. Fourteen selected articles from our inclusion criteria rated using eight quality-appraisal criteria derived from Strengthening the Reporting of Observational Studies in Epidemiology checklist and following preferred reporting items for systematic reviews and meta-analyses methodology. RESULTS: We performed a systematic review of published articles between 2009 and 2019 from ten case–control, two cohort, one ecological study, and one cross-sectional study showed the heterogeneity of the study design. The studies are focusing on the relationship between heavy metal and skin disease that appeared in cement plant areas such as dermatitis, skin cancer, eczema, and other allergies. Chromium, nickel, cobalt, zinc, cadmium, mercury may present and play an important role for human skin disease. CONCLUSION: Heavy metals have been found in the skin of human living and work around the cement industry. Chromium, cobalt, and nickel are almost certainly present in every case of dermatitis and eczema. Signs and mild symptoms of skin disease include redness, itching, starch, and dryness. Elements such as cadmium, lead, and mercury usually are found in chronic skin disease (psoriasis and skin cancer) on a biologic test. These findings should raise an important concern and recommendation policy for controlling raw materials contains heavy metal in cement industrial areas and proper protection for workers and non-worker.
Blood biochemical changes in common carp (Cyprinus carpio) upon co-exposure to titanium dioxide nanoparticles and paraquat

Research on eliminating organic pollutants in water by using heterogeneous photocatalysts such as nano-TiO2 abound. However, the question is whether metabolites, resulting from optical dispersion of environmental pollutants, are still toxic to aquatic organisms. Therefore, this study was designed to evaluate the effect of a co-exposure to paraquat and TiO2-NPs on blood biochemical indices of common carp. Fish were exposed to 0.2 and 0.4 mg L-1 paraquat with 0.125 mg L-1 TiO2-NPs for 21 days under different light conditions, including natural photoperiod (16 L 8h-1 D) and complete darkness. No significant alterations in the Aspartate aminotransferase (AST), Alanine aminotransferase (ALT), Lactate dehydrogenase (LDH), Alkaline phosphatase (ALP) and Creatine phosphokinase (CPK), activities and total protein, albumin, globulin, glucose, cholesterol and triglyceride levels were observed in fish exposed to TiO2-NPs and 0.2 mg L-1 paraquat under normal lighting conditions. However, a significant change in blood biochemical indices in fish exposed to TiO2-NPs with 0.4 mg L-1 paraquat (16 L 8h-1 D) and in fish exposed to TiO2-NPs and paraquat (under darkness). A significant decrease in the activity of Gamma-glutamyltransferase (GGT) and a significant increase in creatinine level were observed in all groups which were exposed to TiO2-NPs and paraquat. The results of this study indicate that using 0.125 mg L-1 nano-TiO2 in order to remove paraquat (0.2 mg L-1) under lighting conditions can minimize the adverse effects of paraquat and its metabolites on blood biochemical indices of fish. So, using nano-TiO2 (0.125 mg L-1) to remove paraquat under lighting conditions can significantly reduce its toxic effects.
A Moment-Based Method of Optinalysis

Graph symmetry detection, similarity, and identity measures have been extensively studied in graph automorphism and isomorphism problems. Nevertheless, graph isomorphism and automorphism detection remain an open (unsolved) problem for many decades. In this paper, a new optinalytic coefficient termed as an optical moment coefficient was introduced for optinalysis. Its characteristic efficiency was tested for bijective property, invariance, deterministic polynomiality and non-polynomiality. The test results show that the new optical moment coefficient is very efficient for symmetry detections, similarity and identity measures between two isometric isomorphs and automorphs; and deterministic on polynomial and nonpolynomial graph models.
3‐D Intrinsic and Scattering Seismic Attenuation Structures Beneath Kyushu, Japan

The attenuation of seismic wave energy is caused by intrinsic absorption and scattering. The former involves the conversion of seismic wave energy to heat energy via internal friction due to the anelasticity of the medium, whereas the latter involves the scattering of seismic wave energy due to random elastic heterogeneities in the medium. Quantifying both intrinsic ( Qi−1 ) and scattering ( Qs−1 ) attenuation is therefore important for understanding the physical properties of the Earth's interior and predicting seismic wave propagation. Here we develop a new procedure to separately map three‐dimensional (3‐D) Qi−1 and Qs−1 structures. The path‐averaged Qi−1 and Qs−1 values are obtained via an envelope‐fitting approach that employs a multiple‐scattering model. The path‐averaged Qi−1 and Qs−1 structures are then mapped into 3‐D space using a tomographic inversion technique based on sensitivity kernels, which are calculated from a Monte Carlo simulation of the radiative transfer equations. We apply this method to map the crustal structure beneath Kyushu, Japan, and obtain 3‐D Qi−1 and Qs−1 structures for the 1–2, 2–4, and 4–8 Hz frequency bands. The spatial attenuation patterns are similar for each of the analyzed frequency bands, with the spatial variability in Qs−1 being more pronounced than that in Qi−1 . The high‐ Qi−1 and Qs−1 regions correspond to the locations of active volcanoes. Conversely, the northern Kyushu area possesses low‐ Qi−1 and Qs−1 zones that correspond to low heat flow and Cretaceous granite, respectively. The overall Qi−1 and Qs−1 distributions correlate with thermal and geological structures, respectively.
Photobiology: light signal transduction and photomorphogenesis.

Light is crucial for plants, not only because of photosynthesis, but also because of photomorphogenesis. As one of the most important environmental cues, light influences multiple responses in plants, including seed germination, seedling de-etiolation, shade avoidance, phototropism, stomata and chloroplast movement, circadian rhythms, and flowering time. This article is protected by copyright. All rights reserved.
Keracunan Coklat (Theobroma Cacao) pada Anjing: Manajemen Terapi dan Pencegahan

Chocolate poisoning has long been recognized as a common cause mostly in dogs, although many species are susceptible. Contributing factors include indiscriminate eating habits and readily available sources of chocolate. In general, the poisoning resulted from a lack of public knowledge of the health hazard to dogs that may be imposed by these products. Chocolate is derived from the seeds of the plant Theobroma cacao, and the main toxic components are the methylxanthine alkaloids theobromine and caffeine, causing gastrointestinal, cardiovascular and central nervous signs. Diagnosis is based on history of exposure, along with clinical signs. Amphetamine or cocaine toxicosis, and ingestion of antihistamines, antidepressants, or other CNS stimulants should be considered in the differential diagnosis. Stabilization of symptomatic animals is a priority in treating chocolate toxicosis. Although there is no specific antidote, supportive management includes induction of vomiting and administration of activated charcoal, oxygen, and intravenous fluids. Preventing exposure is the key to reducing the incidence of these poisoning episodes. Therefore, it is important to increase the knowledge of dogs owners with regard to foodstuffs that must not be fed to dogs and should be stored outside their reach. This paper aims to briefly describe the clinical symptoms, treatment and prevention of chocolate poisoning in dogs.
BRIEF COMMUNICATION: Milk production, feeding behaviour and rumen fermentation of dairy cows supplemented with winter brassica crops

This study evaluated feeding behaviour, dry matter intake (DMI), rumen fermentation and milk production responses of lactating dairy cows supplemented with kale or swedes. Twelve multiparous early lactation dairy cows were randomly allocated to three dietary treatments in a replicated 3 x 3 Latin square. The control diet comprised 10 kg dry matter (DM) of grass silage, 4 kg DM of grass pasture and 8.8 kg DM of concentrate; 25% of the diet was replaced with kale or swedes. Cows supplemented with kale showed a lower DMI compared to cows supplemented with swedes and the control diet; whereas swedes supplementation increased eating time. Milk production responses were not affected by winter brassica supplementation. This resulted in a greater feed conversion efficiency of cows supplemented with kale compared to that of the control diet.
From classical xenon fringes to hydrogen interferometry

A setup with three equally spaced transmission gratings can be described as a moiré deflectometer in the classical regime and as a Talbot–Lau interferometer in the quantum regime. We successfully operate such a three-grating device with a de Broglie wavelength span of more than two orders of magnitude (20 fm to 2.2 pm), employing different particles such as xenon, krypton, argon, helium, and hydrogen. With that we directly observe the transition from the classical description with fast xenon atoms, to the characteristic quantum behaviour of the Talbot–Lau interferometer using hydrogen atoms with correspondingly long de Broglie wavelength. The systematic study of the interference pattern gives important insights in the feasibility of a proton or antiproton interferometer with this setup.
Protocol-Independent Evaluation Of UAV Network

This article focuses on the FANET network consisting of UAV devices. The aim of the article was to point out the analysis of such a network by protocol-dependent and protocolindependent methods. The main research area in the paper is the evaluation of the communication model with random and group mobility model of UAV devices in FANET network using protocol independent methods. The modular quality as well as the detection of communities during missions based on UAV assignment movements were investigated.
PROSPECT OF STEM CELL THERAPY TO AVOID CYTOKINE STORM IN SEVERE COVID-19

Severe COVID-19 cases are mostly due to severe inflammatory reaction and cytokine storm, which may lead to multiple organ failure and death. Until recently, there is no proven effective treatment for severe COVID-19. Mesenchymal stem cells (MSCs) have anti-inflammatory and regenerative properties. Therefore, they are supposed to work on COVID-19, which has failed to recover using other treatments. Therefore, studies are needed to determine the best tissue source of MSCs, the dose, repeat, and route of administration. For this review, we searched various databases, i.e. Pubmed, Science Direct, Springer, and WHO website using keywords: “mesenchymal stem cells” and “COVID-19” at 7 May 2020, without time limits. Various clinical trials on the use of MSCs for COVID-19 were registered, and initial results were reported. Initial results were promising but should be interpreted cautiously, as one was a case report, another one was case series, and one was a preliminary study of seven treated patients compared to three controls, where the baseline conditions were unequal. Therefore, well design randomized clinical trials are needed to get more robust prove.
Influência do período de estocagem dos ovos de galinhas caipiras sobre as variáveis de incubação

O objetivo desse estudo foi avaliar os diferentes períodos de estocagem de ovos de galinhas caipiras, sobre as variáveis de incubação. Os tratamentos foram formados conforme o período de estocagem dos ovos, que foram de: 1 a 5 dias, 6 a 10 dias, 11 a 15 dias e de 16 a 20 dias. As variáveis analisadas foram a perda de peso dos ovos, mortalidade embrionária, eclodibilidade e peso dos pintinhos ao nascimento. O delineamento experimental foi o inteiramente casualizado. As variáveis relacionadas ao peso foram submetidas à análise de variância e ao Teste Scott-Knott a 5% de probabilidade. O peso dos ovos, e o peso dos pintinhos ao nascimento não foi influenciado pelo período de estocagem, no entanto, a perda de peso na estocagem foi maior (P<0,05) a partir do 11 dias de estocagem. A perda peso dos ovos durante a incubação foi maior (P<0,05) no período de 1 a 5 dias de estocagem. A taxa de mortalidade embrionária chegou a 52% para o período de 15 a 20 dias de estocagem, enquanto, a taxa de eclodibilidade despencou para este período, chegando a 47,6%. Estocagens superiores a 16 dias devem ser evitadas, pois há uma redução acentuada na eclodibilidade.
Upper Limb Bionic Orthoses: General Overview and Forecasting Changes

Using robotics in modern medicine is slowly becoming a common practice. However, there are still important life science fields which are currently devoid of such advanced technology. A noteworthy example of a life sciences field which would benefit from process automation and advanced robotic technology is rehabilitation of the upper limb with the use of an orthosis. Here, we present the state-of-the-art and prospects for development of mechanical design, actuator technology, control systems, sensor systems, and machine learning methods in rehabilitation engineering. Moreover, current technical solutions, as well as forecasts on improvement, for exoskeletons are presented and reviewed. The overview presented might be the cornerstone for future research on advanced rehabilitation engineering technology, such as an upper limb bionic orthosis.
BAY LEAF (SYZYGIUM POLYANTHUM) EXTRACT EFFECT ON IL-10 EXPRESSION IN ORAL ULCER

Background: Traumatic ulcers were pathological conditions characterized by loss of epithelial and basal layers resulting from tissue surface excavation caused by trauma. Ulcer healing process consisted of inflammatory, proliferation, and maturation phases. One of the cytokines that play a role in the anti-inflammatory process was IL-10 which worked by balancing the excessive amount of pro-inflammatory cytokines. Bay leaf contained flavonoids which had anti-inflammatory effects. This study’s objective is to determine the effect of bay leaf extract gel on IL-10 expression in the healing process of traumatic ulcers. Method: This study was an analytical study of true experimental laboratories post-test only, consisting of four groups and a sample of 20 male Wistar rats. Mucous ulcers on rat lip were treated with bay leaf extract gel until the 3rd and 5th days. Rat mucosal tissue would be made histological preparations with immunohistochemical staining and calculated IL-10 expression using the Hotspot method. Data obtained then analyzed using Independent T-Test. Result: Results explained that there was a significant increase in IL-10 expression in the group treated using 10% bay leaf extract gel than the control group on 3rd and 5th day, which was marked by a significant p <0.05. Conclusion: The conclusion obtained was 10% bay leaf extract (Syzygium polyanthum) Gel effective in increasing IL-10 expression in the healing of the mucous traumatic ulcer of the mouth of the Wistar rat.
MODELING YIELD, SOIL WATER BALANCE, AND ECONOMIC RETURN OF SOYBEAN UNDER DIFFERENT WATER DEFICIT LEVELS

Evaluating the impacts of water stress on crop yield allows comparing irrigation management alternatives, aiming to ensure an economic return for the irrigated farms. Thus, the main objectives of this study were to model the soil water balance, deriving the crop coefficients, grain yield prediction, and economic return of soybean grown at different levels of water deficit and price quotations. The experiment was carried out under a rainout shelter, using four irrigation water managements. Irrigations were applied when the soil available water in the root zone reached 75%, 64%, 60%, and 50% of the total available water (TAW). Crop and soil parameters were monitored throughout the crop season. The SIMDualKc model was used to simulate the soil water balance. Statistics indicators demonstrated the goodness of the simulation, with regression coefficients (b 0 ) ranging from 0.96 and 0.99 and root mean square errors (RMSE) ≤8.4 mm. Crop coefficients for initial, intermediate, and final stages were calibrated and validated at 0.15, 1.00, and 0.10, respectively. Crop yield and economic return were higher for the treatment kept at 75% of TAW, results that should be considered in irrigation management programs.
Single-Parameter-Tuned Attitude Control for Quadrotor with Unknown Disturbance

In this paper, methods are presented for designing a quadrotor attitude control system with disturbance rejection ability, wherein only one parameter needs to be tuned for each axis. The core difference between quadrotor platforms are extracted as critical gain parameters (CGPs). Reinforcement learning (RL) technology is introduced in order to automatically optimize the controlling law for quadrotors with different CGPs, and the CGPs are used to extend the RL state list. A deterministic policy gradient (DPG) algorithm that is based on an actor-critic structure in a model-free style is used as the learning algorithm. Mirror sampling and reward shaping methods are designed in order to eliminate the steady-state errors of the RL controller and accelerate the training process. Active disturbance rejection control (ADRC) is applied to reject unknown external disturbances. A set of extended state observers (ESOs) is designed to estimate the total disturbance to the roll and pitch axes. The covariance matrix adaptation evolution strategy (CMA-ES) algorithm is used to automatically tune the ESO parameters and improve the final performance. The complete controller is tested on an F550 quadrotor in both simulation and real flight environments. The quadrotor can hover and move around stably and accurately in the air, even with a severe disturbance.
Sex Control in Aquaculture

Comprehensive in scope, Sex Control in Aquaculture first explains the concepts and rationale for sex control in aquaculture, which serves different purposes. The most important are: to produce monosex stocks to rear only the fastest-growing sex in some species, to prevent precocious or uncontrolled reproduction in other species and to aid in broodstock management. The application of sex ratio manipulation for population control and invasive species management is also included. Next, this book provides detailed and updated information on the underlying genetic, epigenetic, endocrine and environmental mechanisms responsible for the establishment of the sexes, and explains chromosome set manipulation techniques, hybridization and the latest gene knockout approaches. Furthermore, the book offers detailed protocols and key summarizing information on how sex control is practiced worldwide in 35 major aquaculture species or groups, including fish and crustaceans, and puts the focus on its application in the aquaculture industry.
Dynamic pseudo-time warping of complex single-cell trajectories

Single-cell RNA sequencing enables the construction of trajectories describing the dynamic changes in gene expression underlying biological processes such as cell differentiation and development. The comparison of single-cell trajectories under two distinct conditions can illuminate the differences and similarities between the two and can thus be a powerful tool. Recently developed methods for the comparison of trajectories rely on the concept of dynamic time warping (dtw), which was originally proposed for the comparison of two time series. Consequently, these methods are restricted to simple, linear trajectories. Here, we adopt and theoretically link arboreal matchings to dtw and propose an algorithm to compare complex trajectories that more realistically contain branching points that divert cells into different fates. We implement a suite of exact and heuristic algorithms suitable for the comparison of trajectories of different characteristics in our tool Trajan. Trajan automatically pairs similar biological processes between conditions and aligns them in a globally consistent manner. In an alignment of singlecell trajectories describing human muscle differentiation and myogenic reprogramming, Trajan identifies and aligns the core paths without prior information. From Trajan’s alignment, we are able to reproduce recently reported barriers to reprogramming. In a perturbation experiment, we demonstrate the benefits in terms of robustness and accuracy of our model which compares entire trajectories at once, as opposed to a pairwise application of dtw. Trajan is available at https://github.com/canzarlab/Trajan.