Miracle-dz/UniFAR-FTUs huggingface dataset:
Molecular study for antibiotic-resistance patterns of extended-spectrum B- Lactamase producing Klebsiella Pneumoniae from a UTI of pregnant women in Diwaniyah (Shamiya city) - Iraq

Background: Klebsiella pneumoniae is a member of the Enterobacteriaceae family. K. pneumoniae isolates produce enzymes that cause the hydrolysis of penicillins and cephalosporins.These enzymes are known as broad-spectrum beta-lactamases (ESBL). The resistance of K. pneumoniae to beta-lactamase antibiotics is usually mediated by beta-lactamase genes, and the present study aims to determine the prevalence of ESβL producing K. pneumoniae isolates with their antibiotic susceptibility pattern in urine samples of pregnant women with UTI. Method: The current study included two hundred twenty-five pregnant women as if they were suffering from urinary tract infection and were treated in the Shamiya General Hospital and the Pregnant Care Center in the Shamiya sector from October 2021 to March 2022. One hundred forty nine different types of bacteria were isolated and using diagnostic methods nineteen isolates of Klebsiella pneumoniae were obtained. Results: The results revealed that 225 pregnant women were the results were positive for 149 patients with urinary tract infections, and the bacterial growth was of different types the highest rate of infection was in the age group of 21–25 years. Then, 19 positive samples of Klebsiella pneumoniae were detected using chemical and morphological methods. Penicillin resistance was 100%.
Role of TP53 Gene Mutations in the Pathogenesis of Colorectal Carcinoma

Colorectal cancer (CRC) is the third most commonly diagnosed cancer in both men and women in the world. The underlying molecular mechanisms that drive colorectal carcinogenesis are not fully known. However, P53 gene mutation, the most reported somatic mutation, is observed in about 50% of colorectal cancer patients. Colorectal carcinoma is multifactorial. TP53 gene, the most novel tumor suppressor gene, acts as a major gatekeeper by preserving the genetic composition of a cell and prevents the oncogenic transformation of a cell. MDM2 and CUL-4A belong to the E3 ubiquitin ligase family, blocks P53 activation, and thus act as an oncogene. TRIM67 also has defective ligase activity, and its mutation is seen in about 80% of colorectal carcinomas. miRNA inhibits the tumor suppressor effect of TP53 and downstream signaling pathways, resulting in carcinogenesis. K RAS, WT1, IGF-1 are other markers of colorectal carcinoma. P53 antibodies produce by colorectal carcinomatous tissue are the markers used for screening and diagnosis. P53 mutation drives a phenomenon of colorectal tumorigenesis. It serves as a biomarker, a prognostic factor, and a therapeutic target of colorectal carcinoma. Further studies are strongly recommended to improve the therapeutic approach of colorectal carcinoma.
Homokaryotic High-Quality Genome Assembly of Medicinal Fungi Wolfiporia hoelen Reveals Auto-Regulation and High-Temperature Adaption of Probable Two-Speed Genome

Sclerotia of Wolfiporia hoelen are one of the most important traditional Chinese medicines and are commonly used in China, Japan, Korea, and other Asian countries. In the present study, we presented the first high-quality homokaryotic genome of W. hoelen with 14 chromosomes which was evaluated with assembly index, telomere position detection, and whole-genome collinearity. A 64.44 Mb genome was assembled with a Contig N50 length of 3.76 Mb. The imbalanced distribution of transposons and chromosome characters revealed the probable two-speed genome of W. hoelen. High consistency between methylation and transposon conserved the genome stability. The expansion of the gene family about signal transduction and nutritional transport has intimate relationships with sclerotial formation. Up-regulation of expression for distinctive decomposition enzymes, ROS clearance genes, biosynthesis of unsaturated fatty acids, and change of the cell wall components maintained high-speed growth of mycelia that may be the high-temperature adaption strategy of W. hoelen. Further, the analysis of mating-control genes demonstrated that HD3 probably had no function on mating recognition, with the HD protein in a distant genetic with known species. Overall, the high-quality genome of W. hoelen provided crucial information for genome structure and stability, high-temperature adaption, and sexual and asexual process.
A Novel Emotion-Aware Method Based on the Fusion of Textual Description of Speech, Body Movements, and Facial Expressions

Emotion computing is a necessary part of advanced human–computer interaction. An appropriate description of a character’s facial expressions, body languages, and speaking styles in novels always enables readers to infer the character’s emotions. Moreover, multimodal information is complementary and integrated. Fusing the information from multiple modes into a textual modal can get better fusion results and overcome the bias of understanding the unimodal information. Inspired by these facts, we develop a novel emotion-aware method by the fusion of textual description of speech, body movements, and facial expression, which reduces the dimensionality of speech, body movements, and facial expressions by unifying three types of information into a unified component. Specifically, to fuse multimodel features for emotion recognition, we propose a two-stage neural network. First, bidirectional long short-term memory-conditional random fields (Bi-LSTM-CRF) and back-propagation neural network (BPNN) are used to analyze the extracted vocal and visual features of facial expressions, body movements, and speeches, which aims to obtain textual descriptions of different features. Second, the textual descriptions of the features are fused through a neural network with a self-organization map (SOM) layer and are used to compensate layers that are trained by web-based corpus. The advantages of this method are to utilize depth information to track facial and bodily movement, and employ an explainable textual intermediate representation to fuse the features. We experimentally tested the emotion-aware system in real-world applications, and the results indicate that our system can quickly and steadily recognize human emotions. Compared with other unimodal and multimodal-fusion algorithms, our method is more precise, which can improve the accuracy by up to 30% compared with the unimodal method.
Derivation of Z refinement proof rules: Forwards and backwards rules incorporating input/output refi

A substrate-type optical waveguide includes: a mode conversion section including a first input light guide path and a first output light guide path; and a polarization conversion and multiplexing section including a second input light guide path and a second output light guide path. The mode conversion section converts light input into the first input light guide path into either: a superposition of a first TE fundamental mode and a first TE higher mode; or a superposition of a first TM fundamental mode and a first TM higher mode. The polarization conversion and multiplexing section converts either: the superposition of the first TE fundamental mode and the first TE higher mode; or the superposition of the first TM fundamental mode and the first TM higher mode, into a superposition of a second TE fundamental mode and a second TM fundamental mode.
Prostate Cancer Tumor Stroma: Responsibility in Tumor Biology, Diagnosis and Treatment

Simple Summary The crosstalk between prostate stroma and its epithelium is essential to tissue homeostasis. Likewise, reciprocal signaling between tumor cells and the stromal compartment is required in tumor progression to facilitate or stimulate key processes such as cell proliferation and invasion. The aim of the present work was to review the current state of knowledge on the significance of tumor stroma in the genesis, progression and therapeutic response of prostate carcinoma. Additionally, we addressed the future therapeutic opportunities. Abstract Prostate cancer (PCa) is a common cancer among males globally, and its occurrence is growing worldwide. Clinical decisions about the combination of therapies are becoming highly relevant. However, this is a heterogeneous disease, ranging widely in prognosis. Therefore, new approaches are needed based on tumor biology, from which further prognostic assessments can be established and complementary strategies can be identified. The knowledge of both the morphological structure and functional biology of the PCa stroma compartment can provide new diagnostic, prognostic or therapeutic possibilities. In the present review, we analyzed the aspects related to the tumor stromal component (both acellular and cellular) in PCa, their influence on tumor behavior and the therapeutic response and their consideration as a new therapeutic target.
Structural Equation Modeling: Foundations and Extensions

Preface to the Second Edition 1. Historical Foundations of Structural Equation Modeling for Continuous and Categorical Latent Variables 2. Path Analysis: Modeling Systems of Structural Equations Among Observed Variables 3. Factor Analysis 4. Structural Equation Models in Single and Multiple Groups 5. Statistical Assumptions Underlying Structural Equation Modeling 6. Evaluating and Modifying Structural Equation Models 7. Multilevel Structural Equation Modeling 8. Latent Growth Curve Modeling 9. Structural Models for Categorical and Continuous Latent Variables 10. Epilogue: Toward a New Approach to the Practice of Structural Equation Modeling
Productivity analysis of wheat (Triticum aestivium) in irrigated sub-tropics of Jammu

Present study was carried out in Jammu district of Jammu and Kashmir with 180 randomly selected wheat growers from three different blocks (R.S. Pura, Suchetgarh and Bishnah) with the objective to analyze the productivity status of wheat (Triticum aestivium L.) crop in irrigated sub-tropics during 2020–21. There was large variation in productivity of wheat crop in different wheat growing regions of the state. Results of the study revealed that all the farmers sown their wheat crop by broadcasting method, 36% farmers replaced their wheat seed and same percentage of farmers adopted the practice of seed treatment. All the farmers applied DAP and urea as basal dose at sowing time and herbicide for controlling narrow and broad leaved weeds. Only 45% farmers applied first irrigation at the crown root initiation stage. Second dose of urea was applied by 100% farmers after first irrigation and 60% farmers applied third dose of urea in their wheat crop. Only 18% of sampled farmers sprayed fungicides. Overall average wheat crop productivity of respondent farmers in study area was 2.789 t/ha and R. S. Pura block had significant difference in productivity of wheat crop as compared to Bishnah (P=.039) and Suchetgarh (P=.010) block.
An Automatic Grammar Error Correction Model Based on Encoder-Decoder Structure for English Texts

The role of information transmission in social life is irreplaceable, and language is a very important information carrier. Among all kinds of languages, English always occupies an important position. In the process of English learning, grammar error has become a difficult problem for most learners. In this paper, we propose an automatic grammar error correction model based on encoder-decoder structure. Different from traditional encoders, we design a dual-encoder structure to capture the information of source sentence and context sentence separately. The decoder is designed with a gated structure, it can effectively integrate output information of encoders. At the same time, the self-attention mechanism is combined to better solve the problem of long-distance information extraction. In addition, we propose a dynamic beam search algorithm to improve the accuracy of the word prediction process, and achieve dynamic extraction of the decoder output by combining kernel sampling techniques. We add a penalty factor to reduce the probability of generating repeated words, while suppressing the model's preference for generating shorter sentences. Finally, the proposed method is validated on the official English grammar error correction dataset. Experiments show that the dual encoder model in this paper has a good performance.
Small band gap bowing in In1−xGaxN alloys

High-quality wurtzite-structured In-rich In1−xGaxN films (0⩽x⩽0.5) have been grown on sapphire substrates by molecular beam epitaxy. Their optical properties were characterized by optical absorption and photoluminescence spectroscopy. The investigation reveals that the narrow fundamental band gap for InN is near 0.8 eV and that the band gap increases with increasing Ga content. Combined with previously reported results on the Ga-rich side, the band gap versus composition plot for In1−xGaxN alloys is well fit with a bowing parameter of ∼1.4 eV. The direct band gap of the In1−xGaxN system covers a very broad spectral region ranging from near-infrared to near-ultraviolet.
Parameter Optimisation Techniques for Robot Identification and Realistic Dynamic Simulation

Robotised laser welding is an application, which requires high tracking precision at high speed motions. For prediction of the weldability of a seam, a closed-loop dynamic simulation of the robot is essential. In order to accurately predict the path tracking errors of the robot along a laser welding seam, realistic dynamic robot models with accurate model parameters are crucial. An accurate model of an industrial robot must therefore include all significant dynamic properties, such as inertia and joint friction. Furthermore, the robot controller should be included in the model as well. For the modelling of the manipulator arm, a non-linear finite element formulation [2] has been applied, in which links and joints are modelled by beam and hinge elements. The identification of the inertia properties is based on an inverse dynamic identification technique. For this purpose, the dynamic model is written in a so-called parameter linear form:
Approaching or Decentering? Differential Neural Networks Underlying Experiential Emotion Regulation and Cognitive Defusion

The current study investigated the bottom-up experiential emotion regulation in comparison to the cognitiveve top down-approach of cognitive defusion. Rooted in an experiential- and client-centered psychotherapeutic approach, experiential emotion regulation involves an active, non-intervening, accepting, open and welcoming approach towards the bodily felt affective experience in a welcoming, compassionate way, expressed in ‘experiential awareness’ in a first phase, and its verbalization or ‘experiential expression’ in a second phase. Defusion refers to the ability to observe one’s thoughts and feelings in a detached manner. Nineteen healthy participants completed an emotion regulation task during fMRI scanning by processing highly arousing negative events by images. Both experiential emotion regulation and cognitive defusion resulted in higher negative emotion compared to a ‘watch’ control condition. On the neurophysiological level, experiential emotion regulation recruited brain areas that regulate attention towards affective- and somatosensorial experience such as the anterior cingulate cortex, the paracingulate gyrus, the inferior frontal gyrus, and the prefrontal pole, areas underlying multisensory information integration (e.g., angular gyrus), and linking body states to emotion recognition and awareness (e.g., postcentral gyrus). Experiential emotion regulation, relative to the control condition, also resulted in a higher interaction between the anterior insular cortex and left amygdala while participants experienced less negative emotion. Cognitive defusion decreased activation in the subcortical areas such as the brainstem, the thalamus, the amygdala, and the hippocampus. In contrast to cognitive defusion, experiential emotion regulation relative to demonstrated greater activation in the left angular gyrus, indicating more multisensory information integration. These findings provide insight into different and specific neural networks underlying psychotherapy-based experiential emotion regulation and cognitive defusion.
Genomic Adaptations of Saccharomyces Genus to Wine Niche

Wine yeast have been exposed to harsh conditions for millennia, which have led to adaptive evolutionary strategies. Thus, wine yeasts from Saccharomyces genus are considered an interesting and highly valuable model to study human-drive domestication processes. The rise of whole-genome sequencing technologies together with new long reads platforms has provided new understanding about the population structure and the evolution of wine yeasts. Population genomics studies have indicated domestication fingerprints in wine yeast, including nucleotide variations, chromosomal rearrangements, horizontal gene transfer or hybridization, among others. These genetic changes contribute to genetically and phenotypically distinct strains. This review will summarize and discuss recent research on evolutionary trajectories of wine yeasts, highlighting the domestication hallmarks identified in this group of yeast.
Letter to the Editor Regarding CADTH rapid review: Systemic Thrombolysis by Alteplase for Acute Ischemic Stroke

The Canadian Stroke Consortium read with interest the recent rapid review by CADTH on the evidence of alteplase for acute ischemic stroke. We felt it necessary to reply for several reasons: despite the 27-year history of alteplase since the NINDS publication, the rapid review limits the search to the last 6 years, which does not reflect the totality of the evidence, the process for inclusion of studies was questionable, leading to a strongly biased representation of the existing literature, and important concerns from the single expert reviewer were not adequately addressed prior to publication.
Comparison of Regadenoson and Dipyridamole Safety Profiles During Stress Myocardial Perfusion Imaging

Objectives: The pharmacological stress test with vasodilator agents is an alternative cardiological diagnostic tool for patients with contraindications to the classical stress test provided by physical activity during single-photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI). The study compared the frequency of the side effects of regadenoson and dipyridamole during a SPECT MPI. Methods: This retrospective study included data of 283 consecutive patients who underwent pharmacological stress tests in years 2015-2020. The study group consisted of 240 patients who had received dipyridamole and 43 patients who had received regadenoson. The collected data included the patients’ characteristics, the occurrence of side effects (divided into mild: headache, vertigo, nausea, vomiting, dyspnea, chest discomfort, hot flushes, general weakness and severe: bradycardia, hypotension, loss of consciousness), and blood pressure values/measurements. Results: Overall, complications occurred relatively often (regadenoson: 23.2%, dipirydamol: 26.7%, p=0.639). Procedure discontinuation was necessary in 0.7% of examinations, whereas pharmacological support was necessary in 4.7%. There was no difference in the prevalence of mild (regadenoson: 16.2%, dipirydamol: 18.3%, p=0.747) and severe complications (regadenoson: 11.6%, dipyridamole: 15.0%, p=0.563). However, regadenoson has been found to cause a significantly smaller mean decrease of systolic blood pressure (SBP) (regadenoson: -2.6±10.0 mmHg, dipyridamole: -8.7±9.6 mmHg, p=0.002), diastolic blood pressure (DBP) (regadenoson: -0.9±5.4 mmHg, dipyridamole: -3.6±6.2 mmHg, p=0.032), as well as mean arterial pressure (MAP) (regadenoson: -1.5±5.6 mmHg, dipyridamole: -5.4±6.5 mmHg, p=0.001). Conclusion: Regadenoson and dipyridamole presented a similar safety profile during SPECT MPI. However, regadenoson has been found to cause significantly smaller decreases in SBP, DBP, and MAP.
Preparation and Properties of Fluorosilicone Fouling-Release Coatings

To improve the antifouling performance of silicone fouling-release coatings, some fluorosilicone and silicone fouling-release coatings were prepared and cured at room temperature with hydroxyl-terminated fluoropolysiloxane (FPS) or hydroxy-terminated polydimethylsiloxane (PDMS) as a film-forming resin, tetraethyl orthosilicate (TEOS) as a crosslinking agent, and dibutyltin dilaurate (DBTDL) as a catalyst. The chemical structure, surface morphology and roughness, tensile properties, and antifouling properties of the coating were studied by infrared spectroscopy, a laser confocal scanning microscope, contact angle measurement, tensile tests, and marine bacteria and benthic diatom attachment tests. The results showed that the FPS coatings were not only hydrophobic but also oleophobic, and the contact angles of the FPS coatings were larger than those of the PDMS coatings. The surface free energies of the FPS coatings were much lower than those of the PDMS coatings. Generally, the fluorine groups can improve the antifouling performance of the coating. Introducing nonreactive silicone oil into PDMS or FPS coatings can improve the antifouling performance of the coating to a certain extent. The prepared fluorosilicone fouling-release coatings showed good application prospects.
Circulating Tumor DNA-Based Disease Monitoring of Patients with Locally Advanced Esophageal Cancer

Simple Summary The standard of care for patients diagnosed with locally advanced esophageal cancer is neoadjuvant chemoradiotherapy followed by surgery. There is a high clinical need to monitor response to neoadjuvant treatment and recognize patients at risk for recurrence to enable individual treatment strategies. Ultradeep sequencing-based detection of circulating tumor DNA in preoperative plasma of patients with locally advanced esophageal cancer can predict which patients have a high risk of recurrence after neoadjuvant chemoradiotherapy and surgery. Circulating tumor DNA-based prediction of the presence of distant metastasis might eventually be used to reconsider surgery and its associated morbidity in patients with detected circulating tumor DNA or stratify patients for adjuvant treatment. Abstract Patients diagnosed with locally advanced esophageal cancer are often treated with neoadjuvant chemoradiotherapy followed by surgery. This study explored whether detection of circulating tumor DNA (ctDNA) in plasma can be used to predict residual disease during treatment. Diagnostic tissue biopsies from patients with esophageal cancer receiving neoadjuvant chemoradiotherapy and surgery were analyzed for tumor-specific mutations. These tumor-informed mutations were used to measure the presence of ctDNA in serially collected plasma samples using hybrid capture-based sequencing. Plasma samples were obtained before chemoradiotherapy, and prior to surgery. The association between ctDNA detection and progression-free and overall survival was measured. Before chemoradiotherapy, ctDNA was detected in 56% (44/78) of patients and detection was associated with tumor stage and volume (p = 0.05, Fisher exact and p = 0.02, Mann-Whitney, respectively). After chemoradiotherapy, ctDNA was detected in 10% (8/78) of patients. This preoperative detection of ctDNA was independently associated with recurrent disease (hazard ratio 2.8, 95% confidence interval 1.1–6.8, p = 0.03, multivariable Cox-regression) and worse overall survival (hazard ratio 2.9, 95% confidence interval 1.2–7.1, p = 0.02, multivariable Cox-regression). Ultradeep sequencing-based detection of ctDNA in preoperative plasma of patients with locally advanced esophageal cancer may help to assess which patients have a high risk of recurrence after neoadjuvant chemoradiotherapy and surgery.