Miracle-dz/UniFAR-FTUs huggingface dataset:
Gait Parameter Optimization of Quadruped Robot Under Energy Consumption Index Based on Reinforcement Learning

In this paper, the gait optimization of quadruped bionic robot is studied under the unified energy consumption index. Firstly, an energy consumption index of quadruped robot is established. Secondly, the reinforcement learning method is used to optimize the gait parameters of the quadruped robot, so that the quadruped robot can gradually find the gait parameter combination with the lowest energy consumption in the current state in the interaction with the environment. In order to verify the effectiveness of this method, this paper completes the optimization of gait parameters combined with MIT cheetah software and DDQN network.
Fault Diagnosis of Rotor Turn-to-turn Short Circuit for Doubly-fed Wind Turbine

Timely diagnosis of rotor turn-to-turn short-circuit faults in doubly-fed wind turbines can effectively reduce the overall risk of wind turbine operation and avoid major accidents. In this paper, the harmonic components of the stator current generated by the rotor turn-to-turn short circuit are analyzed based on the wavelet decomposition method, and an experimental model of the doubly-fed wind turbine fault is built in Matlab/Simulink, using the ratio of the number of shorted turns to the number of normal winding turns to reflect the degree of the motor fault. By wavelet decomposition of the stator-side currents, the fault characteristic quantities are extracted and the frequency bands containing the faults are analyzed spectrally. The results show that the fault characteristic frequency component generated by the stator current in the fault condition increases significantly with the degree of motor fault, and it has more heightened reliability and sensitivity to fault identification.
New MgFeAl-LDH Catalysts for Claisen–Schmidt Condensation

A rapid, cheap and feasible new approach was used to synthesize the Mg0.375Fe0. 375Al0.25-LDH in the presence of tetramethylammonium hydroxide (TMAH), as a nontraditional hydrolysis agent, applying both mechano-chemical (MC) and co-precipitation methods (CP). For comparison, these catalysts were also synthesized using traditional inorganic alkalis. The mechano-chemical method brings several advantages since the number of steps and the energy involved are smaller than in the co-precipitation method, while the use of organic alkalis eliminates the possibility of contaminating the final solid with alkaline cations. The memory effect was also investigated. XRD studies showed Fe3O4 as stable phase in all solids. Regardless of the alkalis and synthesis methods used, the basicity of catalysts followed the trend: mixed oxides > parent LDH > hydrated LDH. The catalytic activity of the catalysts in the Claisen–Schmidt condensation between benzaldehyde and cyclohexanone showed a linear dependence to the basicity values. After 2 h, the calcined sample cLDH-CO32−/OH−-CP provided a conversion value of 93% with a total selectivity toward 2,6-dibenzylidenecyclohexanone. The presence of these catalysts in the reaction media inhibited the oxidation of benzaldehyde to benzoic acid. Meanwhile, for the self-condensation of cyclohexanone, the conversions to mono- and di-condensed compounds did not exceed 3.8%.
Landscape Ecological Evaluation of Cultural Patterns for the Istanbul Urban Landscape

With the widespread population growth in cities, anthropogenic influences inevitably lead to natural disturbances. The metropolitan area of Istanbul, with its rapid urbanization rate, has faced intense pressure regarding the sustainability of urban habitats. In this context, landscapes comprising patches affected by various disturbances and undergoing temporal changes must be analyzed, in order to assess city-related disturbances. In this study, the main objective was to understand how urbanization changed the function of the spatial distribution of the urban mosaic and, more specifically, its relationship with the size, shape, and connection among land-use classes. For this purpose, we took Besiktas, a district of Istanbul, as the study area. We evaluated the landscape pattern of the urban environment in two stages. First, we used medium-resolution satellite imagery to reveal the general interactions in the urbanization process. Landscape- and class-level landscape metrics were selected to quantify the landscape connectivity, and the distances between classes (green areas and artificial surfaces), patterns, and processes, using five satellite images representing a time span of 51 years (1963, 1984, 1997, 2005, and 2014). The general landscape structure was examined by looking at the temporal–spatial processes of artificial surface and green areas obtained from these medium-resolution satellite images. The trends in selected landscape-level metrics were specified and discussed through the use of a moving window analysis. We then used Pleiades high-resolution satellite imagery (2015) to analyze the landscape structure in more detail. This high-resolution base image allows us to recognize the possibility of classifying basic cultural landscape classes. The findings regarding the spatial arrangement of each class in the areas allocated to 14 cultural landscape classes were interpreted by associating them with the landscape functions. Finally, particulate matter (PM10) concentration data were collected and evaluated as an ecological indicator, in order to reveal the relationships between landscape structure and landscape function. In short, we first evaluated the whole landscape structure using medium-resolution data, followed by the classification of cultural landscapes using high-resolution satellite imagery, providing a time-effective—and, therefore, essential—auxiliary method for landscape evaluation. This two-stage evaluation method enables inferences to be made that can shed light on the landscape functions in an urban environment based on the landscape structure.
SPRINT: Scalable Semantic Policy Pre-Training via Language Instruction Relabeling

: We propose SPRINT, a scalable ofﬂine policy pre-training approach based on natural language instructions. SPRINT pre-trains an agent’s policy to execute a diverse set of semantically meaningful skills that it can leverage to learn new tasks faster. Prior work on ofﬂine pre-training required tedious manual deﬁnition of pre-training tasks or learned semantically meaningless skills via random goal-reaching. Instead, our approach leverages natural language instruction labels on ofﬂine agent experience, collected at scale (e.g., via crowd-sourcing), to deﬁne a rich set of tasks with minimal human effort. Furthermore, by using natural language to deﬁne tasks, SPRINT can use pre-trained large language models to automatically expand the initial task set. As a result, we can learn an extensive collection of new skills during pre-training by relabeling and aggregating task instructions, even across multiple training trajectories. Experiments using a realistic household simulator show that SPRINT enables learning new long-horizon household tasks substantially faster than previous pre-training approaches.
Chemical Composition and Antioxidant Activity of Asteraceae Family Plants

Plants of the Asteraceae family have been used in traditional medicine for thousands of years. Now, forgotten for some time, they are gaining popularity again. The aim of this study was to determine and compare the proximate composition and antioxidant activity of inflorescences and leaves of Taraxacum officinale F.H. Wigg. (common dandelion), Tanacetum vulgare L. (tansy) and Solidago virgaurea L. (European goldenrod). The content of dry matter, crude protein, crude ash and crude fat was determined according to the Association of Official Analytical Chemists (AOAC). The content of total polyphenols was determined using methanol extracts. Antioxidant activity was determined by three methods. The protein content was the highest in Taraxacum officinale. The fat and ash content increased in the sequence of Solidago virgaurea < Tanacetum vulgare < Taraxacum officinale. The total content of polyphenols in the material and its antioxidant activity (AA) were different between species. Changes were also observed in the morphological parts of the plants. The results of the research encourage the use of not only those parts of plants known but also inflorescences or leaves, which can be excellent ingredients for drugs and other preparations used in medicine or cosmetology and also in the food industry.
A Hybrid Protection Method to Enhance Data Utility while Preserving the Privacy of Medical Patients Data Publishing

—Medical patient data need to be published and made available to researchers so that they can use, analyse, and evaluate the data effectively. However, publishing medical patient data raises privacy concerns regarding protecting sensitive data while preserving the utility of the released data. The privacy- preserving data publishing (PPDP) process attempts to keep public data useful without risking the medical patients’ pri- vacy. Through protection methods like perturbing, suppressing, or generalizing values, which lead to uncertainty in identity inference or sensitive value estimation, the PPDP aims to reduce the risks of patient data being disclosed and to preserve the potential use of published data. Although this method is helpful, information loss is inevitable when attempting to achieve a high level of privacy using protection methods. In addition, the privacy-preserving techniques may affect the use of data, resulting in imprecise or even impractical knowledge extraction. Thus, balancing privacy and utility in medical patient data is essential. This study proposed an innovative technique that used a hybrid protection method for utility enhancement while preserving medical patients’ data privacy. The utilized technique could partition information horizontally and vertically, resulting in data being grouped into columns and equivalence classes. Then, the attributes assumed to be easily known by any attacker are determined by upper and lower protection levels ( UPL and LPL ). This work also depends on making the false matches and value swapping to make sure that the attribute disclosure is less likely to happen. The innovative technique makes data more useful. According to the results, the innovative technique delivers about 93.4 % data utility when the percentage of exchange level is 5 % using LPL and 95 % using UPL with a 4.5K medical patient dataset. In conclusion, the innovative technique has minimized risk disclosure compared to other existing works.
Resolution of preeclampsia after selective termination in discordant twins: A case report and literature review

Rationale: Preeclampsia is a major cause of maternal and perinatal morbidity and mortality. Growth discordance is associated with an increased risk of preeclampsia in twin pregnancies. The management of preeclampsia combined with discordant twins is difficult and controversial because of severe maternal conditions and severe growth restriction in 1 twin. Patient concerns: A 34-year-old woman with dichorionic diamniotic twin pregnancy complicated by preeclampsia at 29 weeks of gestation, and 1 twin with severe growth restriction and fetal intracranial hemorrhage. Diagnosis: The patient developed severe preeclampsia with high blood pressure (>160/100 mm Hg) and proteinuria, hydrothorax and leg edema. Ultrasound examination confirmed growth restriction (weight estimation: 915 g, <1st percentile) and abnormal umbilical flow in 1 twin (twin B), with a normal co-twin (estimated weight: 1693 g) (twin A). Magnetic resonance imaging revealed intracranial hemorrhage in the germinal matrix of twin B. Interventions: Selective termination of twin B by intracardiac injection of potassium chloride was performed at 31 weeks and 2 days’ gestation. Outcomes: Symptoms of preeclampsia resolved after selective termination, allowing the pregnancy to be prolonged for nearly 4 weeks. A healthy female infant was delivered at 35 weeks of gestation. Conclusion: Delivery of both fetus is not the only choice for the management for twin pregnancy with severe preeclampsia and discordant twins. Selective termination of the fetus with poor prognosis could be a reasonable treatment choice in carefully selected cases.
SZEGÖ LIMIT THEOREMS FOR THE HARMONIC OSCILLATOR

Let H = - '1d2/dx1 + (x2 be the harmonic oscillator Hamiltonian on Z.:(R). and let A be a selfadjoint DO of order O in the Beals-Fefferman class with weights qp = 1, *(.*, £) = (1 + 11 \2 + | x f)l/2. Form the measure fi(f) = lim ^". (1/rank 7rA)tr/(7rx/lwA) where n^Air^ is the compression of/( onto the span of the Hermite functions with eigenvalue less than or equal to A. Then one has the following Szego limit theorem:
Ulinastatin ameliorates preeclampsia induced by N(gamma)-nitro-l-arginine methyl ester in a rat model via inhibition of the systemic and placental inflammatory response

Background: The pathogenesis of preeclampsia (PE) is associated with inflammation and endothelial damage. Ulinastatin (UTI) mainly inhibits proteolytic activity and significantly reduces the release of interleukin-6 (IL-6) and tumor necrosis factor-alpha (TNF-α) from macrophages. It also ameliorates vascular endothelial damage in pathological conditions. Hence, we investigated the effects of UTI in a rat model of PE induced using N(gamma)-nitro-l-arginine methyl ester (L-NAME). Methods: Although inducing PE in a rat model, 5000 U/kg of UTI were injected daily. Systolic blood pressure (SBP) and protein levels in the urine were measured. Renal function, and serum concentrations of TNF-α, IL-6, placental growth factor (PLGF), and von Willebrand factor (vWF) were evaluated. The number and weight of live fetuses as well as the weight of placentas were measured. Placentas were collected for western blot and pathological analysis. Results: UTI slightly ameliorated proteinuria and the increases in SBP, blood urea nitrogen (BUN), and serum creatinine. Furthermore, UTI improved serum and placental protein expression levels of TNF-α, IL-6, vWF, and PLGF. Pathological analysis revealed that vascular density and blood flow perfusion was enhanced, vessel wall thickening and neutrophil infiltration were diminished, and the weight and number of live fetuses as well as the weight of the placentas were improved with UTI. Conclusion: Preventive use of UTI in the PE rat model induced by L-NAME partially alleviated hypertension, proteinuria, and impaired renal function; improved fetal growth restriction; diminished vascular endothelial injury; and ameliorated placental vasculogenesis abnormality and malperfusion by inhibiting the systemic and placental inflammatory response, suggesting that UTI is a potential drug for PE prevention or treatment.
A meta-analysis of adjuvant EGFR-TKIs for patients with EGFR mutation of resected non-small cell lung cancer

Background: The role of epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitor (TKIs) in improving the prognostic outcome of non-small cell lung cancer (NSCLC) cases harboring EGFR mutation following radical surgery is still controversial. This work focused on comparing EGFR-TKIs and adjuvant chemotherapy (ACT) or placebo in treating NSCLC cases, specifically on those with EGFR-mutant, being in the stage of IB-IIIA and possibly gained benefits from the above treatment after radical resection. Methods: The Cochrane Library, MEDLINE, and Embase databases were searched to identify eligible clinical trials; two authors were responsible for screening the results. The primary outcomes were evaluated by disease-free survival (DFS) and overall survival (OS) based on hazard ratios (HRs) and a relevant 95% confidence interval (CI). Results: The literature search yielded twelve eligible studies, including four retrospective cohort studies and eight randomized controlled trials (RCTs) that enrolled 1694 cases and were of acceptable quality. In patients receiving adjuvant EGFR-TKIs compared with ACT or placebo treatment, HR regarding DFS was 0.47 (95% CI: 0.40, 0.55), whereas the OS rate was 0.74 (95% CI: 0.58, 0.95). For patients who received adjuvant EGFR-TKIs in combination with conventional chemotherapy compared to chemotherapy, the efficiency was significantly enhanced, with the HR for DFS being 0.29 (95% CI: 0.15, 0.58) and that for OS being 0.51 (95% CI: 0.25, 1.04), separately. Conclusion: For NSCLC cases who had EGFR mutations and surgery, adjuvant EGFR-TKI combined with chemotherapy achieved superior effect over chemotherapy or placebo with reference to DFS and may prolong the OS up to some extent.
N=2 SUPERGRAVITY IN TEN-DIMENSIONS

We construct the complete Lagrangian of extended supergravity in ten dimensions by dimensional reduction of the eleven-dimensional theory. We find a compactification of the $D=10$ model to the $D=4$ model with internal manifold ${M}_{4}(\mathrm{compact})\ensuremath{\bigotimes}{S}_{2}$.
Dietary Plant Protein Intake Can Reduce Maternal Insulin Resistance during Pregnancy

Evidence suggests that the source of dietary protein may have an impact on insulin resistance, but no studies have explored it in pregnant populations. In this study, we combined a population study and an animal experiment to explore this effect. The population study was conducted with data from NHANES. Multiple linear regression was used to observe the association of protein intake with outcomes, including fasting glucose (GLU), insulin (INS), and HOMA-IR. In the animal experiment, 36 pregnant SD rats in three groups were orally administered 100% animal protein, 50% animal protein and 50% plant protein, or 100% plant protein, respectively. The intervention continued throughout the whole pregnancy. On day 19.5, maternal plasma was collected after overnight fasting, and metabolomics was performed using UPLC-MS. We found plant protein intake was negatively correlated with INS and HOMA-IR in the whole population. During the third trimester, a similar correlation was also observed. The animal experiment also presented the same result. In metabolomic analysis, changes in various metabolites and related pathways including FoxO and mTOR signaling pathways were observed. In conclusion, we found a negative association between dietary plant protein intake and maternal insulin resistance during pregnancy. Changes in some active substances and related metabolic pathways may play an important role.
Effect of Natural Commiphora myrrha Extract against Hepatotoxicity Induced by Alcohol Intake in Rat Model

The oral intake of alcohol has become a widespread concern due to its high risk to body health. Therefore, our purpose in this study was to reveal the antioxidant efficacies of natural Commiphora myrrha on hepatotoxicity and oxidative stress induced by ethanol in adult male rats, especially because these were not adequately revealed by previous studies. We examined the impacts of C. myrrha in male Sprague Dawley rats orally treated with C. myrrha (500 mg/kg) alone or in combination with 40% ethanol (3 g/kg), daily for 30 days. The results showed that treatment with C. myrrha after the oral consumption of ethanol caused a reduction in serum liver function parameters (alanine transferases, aspartate transaminase, and total bilirubin), hepatic tumor markers (α-L-flucosidase and arginase), and hepatic lipid peroxidation indicator (thiobarbituric acid reactive substances), as well as a slight restoration (not significant) in the levels of superoxide dismutase, catalase, reduced glutathione; and total antioxidant capacity. In addition, it alleviated histopathological changes in the liver, as revealed by decreased areas of inflammatory infiltrate, milder necrosis, and noticeably reduced periportal fibrosis and hemorrhage. The therapeutic efficiency of C. myrrha could be due to its rich sesquiterpenoids content which possesses anti-inflammatory properties and ROS-scavenging activities. Our findings provide evidence that the attenuation of oxidative stress by C. myrrha enables hepatic tissue to suppress inflammatory and oxidative mechanisms, resulting in enhanced liver structure and function. Therefore, C. myrrha extract shows promise as a protective and therapeutic supplement against toxic agents.
Lactic Acidosis Related to Pharmacotherapy and Human Diseases

Lactic acidosis represents one of the most common conditions that can compromise the health of intensive care unit (ICU) patients, increasing the mortality of patients with high levels of Lactate who do not receive a proper treatment within the first 6 h of hospitalization. There are two enantiomers of lactic acid: L-lactic acid (when the concentration increases, it can lead to a state of severe acidemia risking cardiovascular collapse, causing an increase in mortality in ICU patients) and D lactic acid (produced in the human organism by microbiota and its production increases during some pathological status). Generally, increased levels of serum lactic acid could be due to numerous factors, including hypoxia (caused for example by septic/cardiogenic/hypovolemic or obstructive shock), specific pathologies (e.g., liver disease), use of some drugs (e.g., metformin), presence of toxins, and trauma. Since the underlying cause could be fatal for the ICU patient, it is important to understand the root of this clinical status with a view to correct it and prevent the risk of a poor clinical outcome. Prevention and early treatment are the keys to control the negative clinical consequences. The aim of this review is to revise the scientific literature for further confirmation about the importance of early identification of acidotic statuses and to underline how an early diagnosis can prevent the worst clinical outcome, especially for ICU patients who are more fragile compared to the general population.
Reassembly is Hard: A Reflection on Challenges and Strategies

Reassembly, a branch of static binary rewriting, has become a focus of research today. However, despite its widespread use and research interest, there have been no systematic investiga-tions on the techniques and challenges of reassemblers. In this paper, we formally deﬁne different types of errors that occur in current existing reassemblers, and present an automated tool named R EASSESSOR to ﬁnd such errors. We attempt to show through our tool and the large-scale benchmark we created the current challenges in the ﬁeld and how they can be approached.