Miracle-dz/UniFAR-FTUs huggingface dataset:
Application of LSTM in Metal Temperature Forecasting for a 1000 MW Double-Reheat Coal-Fired Boiler

Since more renewable energy is being incorporated into the electrical grid, coal-fired power units must operate flexibly rather than as base-load. Sharp changes in the reheat steam temperature during flexible operation of the secondary reheat units can cause thermal stress on the reheater, resulting in tube breakage or unplanned shutdown. To avoid the risk of this issue occurring, the operating temperature of the reheater should be precisely monitored in real time. A novel long short-term memory (LSTM) for predicting metal temperatures is developed using real operating data obtained from a 1000 MW doublereheat power plant boiler. The soot blower action signals are added for more accurate prediction. The results indicate that the LSTM has adequate accuracy. The root mean square error for the test dataset is 0.861 ℃, the mean absolute percentage error is 0.105% and the Pearson correlation coefficient between the actual value and the predicted value is over 0.979.
Short time correlation analysis in porous medium

The study of the mechanical and physico-chemical properties of porous media containing water is of great interest in particular during the phase change. Some thermodynamic models may provide relatively good understanding of this problem but these models are complex because of space averaging differential equations. To check the results obtained with the models, we have developed an acoustic system which monitors the phase change interface over time. The medium used to model the porous medium is a stacking of glass spheres whose diameters are fixed and large compared with the ultrasonic wavelength and whose spaces are filled with water (or ice). Because of spheres induced speckle, the water-ice interface cannot be seen a priori. In order to evidence this interface we have used a method based on correlation similar to the short time Fourier analysis. The result thus obtained shows that the water-ice interface can then be seen clearly. The speed measurements of the ultrasonic wave in porous medium obtained with this method agree with Blot's theory. The preliminary experimental results show a good agreement with the semi-analytical solution.
Pseudorogneria libanotica Intraspecific Genetic Polymorphism Revealed by Fluorescence In Situ Hybridization with Newly Identified Tandem Repeats and Wheat Single-Copy Gene Probes

The genus Pseudoroegneria (Nevski) Löve (Triticeae, Poaceae) with its genome abbreviated ‘St’ accounts for more than 60% of perennial Triticeae species. The diploid species Psudoroegneria libanotica (2n = 14) contains the most ancient St genome. Therefore, investigating its chromosomes could provide some fundamental information required for subsequent studies of St genome evolution. Here, 24 wheat cDNA probes covering seven chromosome groups were mapped in P. libanotica to distinguish homoelogous chromosomes, and newly identified tandem repeats were performed to differentiate seven chromosome pairs. Using these probes, we investigated intraspecific population chromosomal polymorphism of P. libanotica. We found that (i) a duplicated fragment of the 5St long arm was inserted into the short arm of 2St; (ii) asymmetrical fluorescence in situ hybridization (FISH) hybridization signals among 2St, 5St, and 7St homologous chromosome pairs; and (iii) intraspecific population of polymorphism in P. libanotica. These observations established the integrated molecular karyotype of P. libanotica. Moreover, we suggested heterozygosity due to outcrossing habit and adaptation to the local climate of P. libanotica. Specifically, the generated STlib_96 and STlib_98 repeats showed no cross-hybridization signals with wheat chromosomes, suggesting that they are valuable for identifying alien chromosomes or introgressed fragments of wild relatives in wheat.
Stellettin B Isolated from Stelletta Sp. Reduces Migration and Invasion of Hepatocellular Carcinoma Cells through Reducing Activation of the MAPKs and FAK/PI3K/AKT/mTOR Signaling Pathways

Hepatocellular carcinoma (HCC) is one of the most common malignant tumors, and there is currently a lack of effective treatment options to control the metastasis. This study was performed to examine the mechanisms of the migration and invasion characteristics of HCC, with the aim of reducing metastasis by inhibiting cancer cell migration and invasion. In this study, we used Stellettin B, an active compound isolated from Stelletta sponges, as the experimental drug and evaluated its inhibition effects on cell migration and invasion in human hepatoma cells (HA22T and HepG2). MTT assay, gelatin zymography, and western blotting were employed. The results showed that Stellettin B significantly inhibited the protein expressions of MMP-2, MMP-9, and uPA, while upregulating the protein expressions of TIMP-1 and TIMP-2. The expressions of p-FAK, p-PI3K, p-AKT, p-mTOR, and MAPKs (p-JNK, p-JUN, p-MAPKp38, and p-ERK) were decreased with increasing concentrations of Stellettin B. Our results suggest that Stellettin B-dependent downregulation of MMP-2 and MMP-9 activities could be mediated by FAK/PI3K/AKT/mTOR and MAPKs signaling pathways in HA22T and HepG2 cells, preventing HCC invasion and migration.
Detection of Malicious Websites Using Symbolic Classifier

Malicious websites are web locations that attempt to install malware, which is the general term for anything that will cause problems in computer operation, gather confidential information, or gain total control over the computer. In this paper, a novel approach is proposed which consists of the implementation of the genetic programming symbolic classifier (GPSC) algorithm on a publicly available dataset to obtain a simple symbolic expression (mathematical equation) which could detect malicious websites with high classification accuracy. Due to a large imbalance of classes in the initial dataset, several data sampling methods (random undersampling/oversampling, ADASYN, SMOTE, BorderlineSMOTE, and KmeansSMOTE) were used to balance the dataset classes. For this investigation, the hyperparameter search method was developed to find the combination of GPSC hyperparameters with which high classification accuracy could be achieved. The first investigation was conducted using GPSC with a random hyperparameter search method and each dataset variation was divided on a train and test dataset in a ratio of 70:30. To evaluate each symbolic expression, the performance of each symbolic expression was measured on the train and test dataset and the mean and standard deviation values of accuracy (ACC), AUC, precision, recall and f1-score were obtained. The second investigation was also conducted using GPSC with the random hyperparameter search method; however, 70%, i.e., the train dataset, was used to perform 5-fold cross-validation. If the mean accuracy, AUC, precision, recall, and f1-score values were above 0.97 then final training and testing (train/test 70:30) were performed with GPSC with the same randomly chosen hyperparameters used in a 5-fold cross-validation process and the final mean and standard deviation values of the aforementioned evaluation methods were obtained. In both investigations, the best symbolic expression was obtained in the case where the dataset balanced with the KMeansSMOTE method was used for training and testing. The best symbolic expression obtained using GPSC with the random hyperparameter search method and classic train–test procedure (70:30) on a dataset balanced with the KMeansSMOTE method achieved values of ACC¯, AUC¯, Precsion¯, Recall¯ and F1-score¯ (with standard deviation) 0.9992±2.249×10−5, 0.9995±9.945×10−6, 0.9995±1.09×10−5, 0.999±5.17×10−5, 0.9992±5.17×10−6, respectively. The best symbolic expression obtained using GPSC with a random hyperparameter search method and 5-fold cross-validation on a dataset balanced with the KMeansSMOTE method achieved values of ACC¯, AUC¯, Precsion¯, Recall¯ and F1-score¯ (with standard deviation) 0.9994±1.13×10−5, 0.9994±1.2×10−5, 1.0±0, 0.9988±2.4×10−5, and 0.9994±1.2×10−5, respectively.
Monte Carlo Evaluations of Goodness of Fit Indices for Structural Equation Models

This article reviews proposed goodness-of-fit indices for structural equation models and the Monte Carlo studies that have empirically assessed their distributional properties. The cumulative contributions of the studies are summarized, and the variables under which the indices are studied are noted. A primary finding is that many of the indices used until the late 1980s, including Jöreskog and Sörbom's (1981) GFI and Bentler and Bonett's (1980) NFI, indicated better fit when sample size increased. More recently developed indices based on the chi-square noncentrality parameter are discussed and the relevant Monte Carlo studies reviewed. Although a more complete understanding of their properties and suitability requires further research, the recommended fit indices are the McDonald (1989) noncentrality index, the Bentler (1990)-McDonald and Marsh (1990) RNI (or the bounded counterpart CFI), and Bollen's (1989) DELTA2.
Exploiting the Power of Equality-generating Dependencies in Ontological Reasoning

Equality-generating dependencies (EGDs) allow to fully exploit the power of existential quantification in ontological reasoning settings modeled via Tuple-Generating Dependencies (TGDs), by enabling value-assignment or forcing the equivalence of fresh symbols. These capabilities are at the core of many common reasoning tasks, including graph traversals, clustering, data matching and data fusion, and many more related real-world scenarios. However, the interplay of TGDs and EGDs is known to lead to undecidability or intractability of query answering in tractable Datalog+/- fragments, like Warded Datalog+/-, for which, in the sole presence of TGDs, query answering is PTIME in data complexity. Restrictions of equality constraints, like separable EGDs, have been studied, but all achieve decidability at the cost of limited expressive power, which makes them unsuitable for the mentioned tasks. This paper introduces the class of "harmless" EGDs, that subsume separable EGDs and allow to model a very broad class of tasks. We contribute a sufficient syntactic condition for testing harmlessness, an undecidable task in general. We argue that in Warded Datalog+/- with harmless EGDs, ontological reasoning is decidable and PTIME. From such theoretical underpinnings, we develop novel chase-based techniques for reasoning with harmless EGDs and present an implementation within the Vadalog system, a state-of-the-art Datalog-based reasoner. We provide full-scale experimental evaluation and comparative analysis.
Learning to Explain Selectively: A Case Study on Question Answering

Explanations promise to bridge the gap between humans and AI, yet it remains difficult to achieve consistent improvement in AI-augmented human decision making. The usefulness of AI explanations depends on many factors, and always showing the same type of explanation in all cases is suboptimal—so is relying on heuristics to adapt explanations for each scenario. We propose learning to explain”selectively”: for each decision that the user makes, we use a model to choose the best explanation from a set of candidates and update this model with feedback to optimize human performance. We experiment on a question answering task, Quizbowl, and show that selective explanations improve human performance for both experts and crowdworkers.
New results on stability criteria for neural networks with time-varying delays

In this paper, the problem of stability analysis for neural networks with time-varying delays is considered. By constructing a new augmented Lyapunov—Krasovskii's functional and some novel analysis techniques, improved delay-dependent criteria for checking the stability of the neural networks are established. The proposed criteria are presented in terms of linear matrix inequalities (LMIs) which can be easily solved and checked by various convex optimization algorithms. Two numerical examples are included to show the superiority of our results.
Intratesticular Versus Intrafunicular Lidocaine to Reduce Perioperative Nociception and Immunological Response in Ponies Undergoing Field Castration

Simple Summary Castration is a procedure performed routinely in male ponies to facilitate handling and husbandry and reduce aggression and other undesirable behaviours associated with testosterone. It can be performed in field conditions under general anaesthesia. The procedure is associated with a significant degree of pain that requires adequate analgesics, such as local anaesthetics, as an adjunct to general anaesthesia. The current study aimed to clarify the effects of two different local anaesthesia techniques with lidocaine 2% on the plasmatic concentrations of TNF-α and IL-6 in ponies submitted to field castration. The hypothesis was that the two different locoregional anaesthetic protocols could impact the immunological response and the postoperative outcome. Abstract The aim of this study was to evaluate the impact of intratesticular or intrafunicular lidocaine to reduce perioperative nociception and cytokine release in ponies undergoing field castration under total intravenous anaesthesia. Before castration, one group was injected with intrafunicular (FL) lidocaine and the other received intratesticular (TL) lidocaine. All ponies were premedicated with acepromazine (0.05 mg/kg) intramuscularly. Twenty minutes after the administration of acepromazine, xylazine (1 mg/kg) and butorphanol (0.02 mg/kg) were administered intravenously. Lidocaine 2% was given 1 mL/100 kg intrafunicularly in the FL groups or 2 mL/100 kg intratesticularly on each testicular side for TL. Surgery was performed by the same team of two experienced surgeons using Serra’s emasculator and an open technique was used for all ponies in order to promote postoperative drainage. In this study, we focused on the plasmatic levels of TNF-α and IL-6. The results from this study showed a significant difference in plasmatic concentrations of TNF-α and IL-6 between the two different locoregional anaesthetic protocols. Taken together, the results suggest that the intrafunicular lidocaine locoregional anaesthesia could be a useful technique in the anaesthesia protocol for field pony castration.
The Sulfide-Responsive SqrR/BigR Homologous Regulator YgaV of Escherichia coli Controls Expression of Anaerobic Respiratory Genes and Antibiotic Tolerance

Compositions and activities of bacterial flora in the gastrointestinal tract significantly influence the metabolism, health, and disease of host humans and animals. These enteric bacteria can switch between aerobic and anaerobic growth if oxygen tension becomes limited. Interestingly, the switching mechanism is important for preventing reactive oxygen species (ROS) production and antibiotic tolerance. Studies have also shown that intracellular and extracellular sulfide molecules are involved in this switching control, although the mechanism is not fully clarified. Here, we found that YgaV, a sulfide-responsive transcription factor SqrR/BigR homolog, responded to sulfide compounds in vivo and in vitro to control anaerobic respiratory gene expression. YgaV also responded to H2O2 scavenging in the enteric bacterium Escherichia coli. Although the wild-type (WT) showed increased antibiotic tolerance under H2S-atmospheric conditions, the ygaV mutant did not show such a phenotype. Additionally, antibiotic sensitivity was higher in the mutant than in the WT of both types in the presence and absence of exogenous H2S. These results, therefore, indicated that YgaV-dependent transcriptional regulation was responsible for maintaining redox homeostasis, ROS scavenging, and antibiotic tolerance.
Telenursing in the sexual function of women with breast cancer: A study protocol

Introduction: Most women with breast cancer have sexual function problems related to cancer diagnosis and treatment. These problems harm the quality of life and relationships. However, most patients do not receive care or guidance regarding sexuality from healthcare providers. This study aimed to test the effect of telenursing counseling on sexual functioning in women undergoing breast cancer treatment. Methods: This randomized clinical trial was conducted at 2 reference hospitals for cancer treatment. One hundred eight women with stage I–IV breast cancer undergoing treatment (surgery, chemotherapy, radiotherapy or hormone therapy) with a partner will be included in this study. The study was authorized by the Ethics Committee of the Federal University of Ceará (Opinion number: 46,13,609) and the Maternity School Assis Chateaubriand (Opinion number: 47,42,687). Patients will be allocated to the following groups: the control group, which will not receive an active intervention, and the intervention group, which will receive 3 telenursing counseling sessions for 6 weeks. The levels of sexual function in these patients before the intervention, soon after the intervention and at 12 weeks were compared and analyzed. All data will be collected and analyzed by the JASP program. Results: Differences in levels of sexual function among women allocated to the control and intervention groups in the analyzed periods. Conclusion: This evidence-based nursing care strategy can be used to improve the sexual function of breast cancer patients and consequently their quality of life and marital relationship.
Cognitive behavioral therapy for challenges to quitting tobacco smoking among social science and religion students

Background: Tobacco smoking is a public health issue. The aim of this investigation was to determine the effect of cognitive behavioral therapy (CBT) on the disputation of challenges to quitting tobacco smoking among students enrolled in the Social Science and religious Education programmes. Methods: The study adopted a pretest-posttest randomized controlled group design with follow-up. The population comprised of 76 tobacco smokers (randomized into 1 of 2 groups: n = 38 for the treatment group, n = 38 for the waitlist control group) completed the study. A self-report scale measuring dependence on cigarettes was used as the outcome measure. The treatment group was exposed to a 12-weeks CBT intervention. The treatment and waitlisted groups were evaluated at 3 time points: pretest, post-test, and follow-up. Statistical analyses were achieved using ANOVA. Results: The result showed that CBT had a significant effect in reducing the challenges to quitting tobacco smoking among the student smokers in the treatment group in comparison with the waitlist control group. The positive behavioral gains after the CBT program also persisted at follow-up in the treatment group compared with the waitlist control group. Conclusion: Therefore, this study suggests that CBT intervention is a time-effective treatment method for disputation of challenges to quitting tobacco smoking among students enrolled in the Social Science and Religious Education Programmes.
Acupuncture improves the residual urine volume of bladder of middle age patients with urinary retention post-stroke: A protocol for systematic review and meta analysis

Background: There are 15 million new cases of stroke every year in the world, 65% of which have dysuria in the early stage of stroke, which seriously affects the quality of life of stroke patients. The purpose of this study is to evaluate the results of randomized controlled trials to determine whether acupuncture can improve the residual urine volume of the bladder in middle age patients with urinary retention post-stroke. Methods: Eight databases, including China National Knowledge Infrastructure, Chinese Scientific Journal Database, Cochrane Central Register of Controlled Trials, Embase, MEDLINE, PubMed, Wanfang Database, and Web of Science, will be searched using English and Chinese search strategies. In addition, manual retrieval of research papers, conference papers, ongoing experiments, internal reports, etc, will supplement electronic retrieval. All eligible studies published on or before October 1, 2022 will be selected. To enhance the effectiveness of the study, only clinical randomized controlled trials related to the use of manual acupuncture for the treatment of urinary retention post-stroke will be included. Conclusion: The residual urine volume of bladder will be the primary outcome measure, whereas the Clinical efficiency will be the secondary outcomes. Side effects and adverse events will be included as safety evaluations. To ensure the quality of the systematic evaluation, study selection, data extraction, and quality assessment will be independently performed by two authors, whereas a third author will resolve any disagreement.
Obsessive-Compulsive Disorder and Metabolic Disorders

Abstract Obsessive-compulsive disorder (OCD) has a bidirectional relationship with metabolic disorders. The purposes of this review are to decipher the links between OCD and metabolic disorders and to explore the etiological mechanism of OCD in metabolism, which may aid in early identification of and tailored interventions for OCD and metabolic disorders.
Comparison of high or modified low tie of the inferior mesenteric artery in laparoscopic rectal cancer surgery: A meta-analysis

Objective: The purpose of this study was to perform a meta-analysis comparing the oncological, intraoperative and safety outcomes in laparoscopic rectal cancer surgery with and without preservation of the left colic artery (LCA). Method: We searched several databases including PubMed, Web of Science, Cochrane Library, and Embase databases. This meta-analysis included randomized clinical trials, prospective, and retrospective comparative studies regarding high- or modified low-tie ligation of the inferior mesenteric artery in laparoscopic rectal cancer surgery. Results: Of 641 potentially eligible articles, 16 studies with 3050 participants met the eligibility criteria and were included in the meta-analysis. There was no significant difference in estimated blood loss (WMD −2.63, 95% CI −5.69 to 0.43; P = .09), the number of harvested lymph nodes (WMD −0.35, 95% CI −1.60 to 0.20; P = .50), the number of apical lymph node yield (WMD −0.19, 95% CI −0.52 to 0.13; P = .24), the number of apical lymph node metastasis (OR 0.76, 95% CI 0.40 to 1.45; P = .40), rate of conversion to open surgery (OR 0.74, 95% CI 0.50 to 1.09; P = .513), rate of urinary dysfunction (OR 1.39, 95% CI 0.71 to 2.74; P = .34), rate of recurrence and metastasis (OR 1.10, 95% CI 0.75 to 1.61; P = .64), 5-year survival rate (OR 0.89, 95% CI 0.67 to 1.18; P = .42). However, this meta-analysis demonstrated a statistically significant difference in operating time (WMD −9.92, 95% CI −15.49 to −5.84; P = .0005), rate of diverting stom (OR 1.42, 95% CI 1.06 to 1.92; P = .02), rate of anastomotic leakage (OR 2.673, 95% CI 1.91 to 3.62; P < .00001), time to first flatus (WMD 0.29, 95% CI 0.11 to 0.48; P = .002), time of hospitalization (WMD 0.64, 95% CI 0.14 to 1.15; P = .01) between the 2 surgical techniques. Coclusion: The available evidence suggests that preserving the left colic artery is a safe, effective technique for patients with laparoscopic rectal cancer. nique for patients with laparoscopic rectal cancer.