Miracle-dz/UniFAR-FTUs huggingface dataset:
A Compact Four-way Quadrature Power Splitter for 5G Low-band Applications

This article introduces an ultra-compact four-way quadrature power splitter (4W-QPS) based on a novel transmission-line compression technique called double-path zigzag microstrip line (DP-ZML). Detailed design techniques with modular approach are disclosed for the state-of-the-art 5G low-band applications. The theoretical predictions are verified with experimental results through a fabricated prototype that operates from 696.55 to 876.03 MHz with >15 dB return-losses and isolations, and 90°±4° quadrature phase between adjacent outputs. The compact size of this 4W-QPS is achieved at 0. 21λg×0. 21λg at a center frequency of 786 MHz.
Le bovarysme, histoire et interprétation d’une pathologie littéraire à l’âge moderne

Originellement hybride, la notion de bovarysme, inventee a la fin du XIXe siecle par Jules de Gaultier, a ete concue a partir d’un personnage litteraire pour decrire un phenomene de psychologie normale ou pathologique. Creuset d’interrogations pour deux champs de savoir distincts, la litterature et la psychopathologie, elle va connaitre un double destin en devenant, au XXe siecle, une notion cle de la critique litteraire comme de la psychiatrie. Au croisement de diverses disciplines, cette no.
Relativity Interpolation of 3-D Medical Images Based on Corresponding Points

In the case of medical image interpolation for 3D volume models,present methods either lack the capability of interpolating gray levels and shapes at the same time,or need higher computation cost.In order to solve the problem,a relativity interpolation algorithm of 3D medical images is introduced based on corresponding points.Firstly,the original images were segmented several regions by the threshold segmentation and the segmentation value of voxels could be obtained.Secondly,relativity-based interpolation was used to obtain the data in the same density matter,and the size of area was scaled as the interpolation data in the different density matter.The new image basically satisfies the requirements of medical image interpolation.Compared with linear interpolation,the proposed algorithm greatly improves the quality of image.Moreover,the new algorithm has much lower computation cost compared with wavelet-based interpolation.The interpolation can be effectively used to construct 3D volume models.
A new approach for irregular porous structure modeling based on centroidal Voronoi tessellation and B-spline

ABSTRACTIn this paper, we introduce a new approach for irregular porous structure modeling based on centroidal Voronoi tessellation (CVT) and B-Spline. Given an arbitrary domain, a CVT is first constructed on it, decomposing the domain into a set of Voronoi cells. A scaled Voronoi cell is then generated within each Voronoi cell of the CVT with respect to a unique scale factor. Finally, a pore is generated in each Voronoi cell by using B-Spline with the vertices of each scaled Voronoi cell being the control points. Compared to existing approaches, the proposed method is much more flexible to control the pore size and distribution both globally and locally. In addition, our method can effectively prevent overly large or small angles within Voronoi cells, which are the source of simulation errors and computational burdens in finite element analysis (FEA).
Some results on the relative ageing of two life distributions

Kalashnikov and Rachev (1986) have proposed a partial ordering of life distributions which is equivalent to an increasing hazard ratio, when the ratio exists. This model can represent the phenomenon of crossing hazards, which has received considerable attention in recent years. In this paper we study this and two other models of relative ageing. Their connections with common partial orderings in the reliability literature are discussed. We examine the closure properties of the three orderings under several operations. Finally, we give reliability and moment bounds for a distribution when it is ordered with respect to a known distribution.
Numerical analysis of mixed-mode I+II fracture behavior of automotive PVB laminated glass using a novel beam-type test specimen

Laminated glass is a composite structure consisting of a polymeric interlayer (e.g., polyvinyl butyral PVB) sandwiched between two glass plies. Due to the increasing use of laminated glass (LG) in advanced industries such as automotive sectors, it is of much importance to investigate the fracture behavior of such structures. One of the most critical steps in outlining the fracture behavior of laminated glass is the accurate determination of the fracture energy of the interlayer, usually, polyvinyl butyral (PVB), which is obtained from experimental methods. So far, various laboratory samples have been presented to measure the fracture energy of laminated glass, each of which has its advantages and limitations. In this paper, a new loading setup is proposed for the determination of mixed-mode I/II fracture energy in a rectangular-shape laboratory sample of laminated glass. The loading setup consists of a rectangular beam under a four-point bending which has been analyzed by the commercial ABAQUS software package. By utilizing this specimen, the fracture energy of the combined modes from pure mode I to pure mode II in the PVB interlayer can be measured. The proposed geometry here is simpler than other available geometries in the literature and also it does not require a complex loading mechanism. The effects of crack length ratio and also the support distance on fracture parameters such as and are well investigated.
Surgical Mortality Risk Scores in Transcatheter Aortic Valve Implantation: Is Their Early Predictive Value Still Strong?

Background: Surgical mortality risk scores, even if not properly designed and rarely tested in the transcatheter aortic valve implantation (TAVI) setting, still guide the heart team in managing significant aortic stenosis. Methods: After splitting 1763 consecutive patients retrospectively based on their mortality risk thresholds, the composite endpoint early safety (ES) was adjudicated according to Valve Academic Research Consortium (VARC)-2 and -3 consensus documents. Results: ES incidence was higher if VARC-2 rather than VARC-3 defined. Despite only patients showing VARC-2 ES had significantly lower absolute values of all three main risk scores, these last still failed to foresee both VARC-2 and -3 ES in intermediate-risk patients. The receiver operating characteristic analysis also showed a significant correlation, but with poor diagnostic accuracy, among the three scores and only VARC-2 ES; moreover, the absence of VARC-2 ES and low-osmolar contrast media administration were identified as independent predictors of 1-year mortality and absence of VARC-3 ES, respectively. Finally, even a single complication included in the ES definition could significantly affect 1-year mortality. Conclusion: Currently, the most used mortality risk scores do not have adequate diagnostic accuracy in predicting ES after TAVI. The absence of VARC-2, instead of VARC-3, ES is an independent predictor of 1-year mortality.
Madura Tourism Branding Through Literature

Literary Tourism is closely related to the contribution of literature to the development of tourism. The efforts to brand a place by maintaining the existence of culture and nature have been quite a challenge due to cultural and natural changes of globalization which is increasingly eroding the traditional culture of a place. However, Madura with its traditions, cultures, and beautiful nature make Madura different and unique from other regions. This study displays branding on Madura tourism thus the readers get to know Madura in literary works and become travel and tourism references to visit. This research focuses on how tourism branding exists in Madura poetry by D. Zawawi Imron. Therefore, this study uses a qualitative descriptive method to determine the setting of place and culture in the poetry by D. Zawawi Imron as a Madurese writer and its potential for developing Madura tourism. The results of this study figure out that the inspiration for D. Zawawi Imron's poetry was Madura as his birthplace. In his poems also found the potential for cultural and natural tourism such as Kerapan Sapi and Saronen, as well as village circumstances, Kalianget, Sumenep, and some vocabulary that reflects Madurese characteristics such as Nira and siwalan. Hopefully, Literary Tourism will make a new contribution to multidisciplinary dynamics in applied literary studies.
Predicting Micro-TESE among Heterogeneous Nonobstructive Azoospermic Patients: The Impact on Surgical Decision and ICSI

Background. Previously published predictive models for microdissection testicular sperm extraction (micro-TESE) were generally assumed patients with nonobstructive azoospermia (NOA) a homogenous population, i.e., the laboratory predictors were associated with sperm retrieval rate (SRR) in a similar way among different subpopulations. In addition, previous studies primarily regarded the success of sperm retrieval as the sole endpoint, although live birth is the ultimate goal for the couples. Objectives. The main objective is to develop and evaluate the clinical benefit of a model predicting the clinical outcome of micro-TESE in heterogeneous population with NOA. The outcome of pregnancy was taken into account via assessing the association between the predicted outcome of micro-TESE and pregnancy. Materials and Methods. A development cohort of 1,292 patients with NOA and an external validation cohort of 530 patients were included. Sperm retrieval was performed using micro-TESE. Clinical outcomes, including sperm retrieval, clinical pregnancy, and live birth, were collected. We developed a model using the machine learning method random forest and provided a web-based calculator. Results. The SRR was 38.1% (492/1,292) in the development cohort and 48.5% (257/530) in the validation cohort. The final model includes etiology, AMH, sperm retrieval surgical history, testicular volume, FSH, LH, and age as predictors (ordered by variable importance). The area under the curve of our model was 0.76 (0.74–0.79) in the development cohort and 0.75 (0.71–0.79) in the external validation cohort. The decision curve analysis showed that personalized model-based surgical decision provides additional clinical benefit. The clinical pregnancy rate (CPR) and cumulative live birth rate (CLBR) were 45.3% (405/895) and 57.6% (338/587), respectively, in the overall population. For patients of different SRR, the CPR and CLBR of whom had successful sperm retrieval were similar. Discussion and Conclusion. Our model predicting the SRR of micro-TESE was generalizable and easy to use. Predicted pregnancy outcomes like CPR and CLBR could also be derived from predicted SRR. A model-based surgical decision after personalized consultation would be beneficial to patients with NOA.
University Bus Services: Responding to Students’ Travel Demands?

University bus services provide fixed-route public transport for students to and from large universities. They are relatively affordable and resource-efficient, but must compete against private cars and taxis which tend to be more convenient and flexible than University bus services. Many students, particularly those with lower incomes, depend on them. University administrators must understand how to improve University bus service in order to treat this group fairly. The main contribution of this paper is to examine how University bus service can help achieve social equity and sustainability goals. It investigates this by reporting the results of a survey of 303 students at Shahid Bahonar University of Kerman in Iran concerning their travel demands and University bus service utilization. Grounded theory and structural equation modeling is used to analyze the daily commute preferences of university students influenced by their characteristics, fleet condition, fares, station condition, and time factors. This study identifies various steps that the university administration can take to make University bus service more efficient and attractive, such as updating the bus fleet, improving stations, increasing security, and improving pedestrian access to stations. Survey respondents reported the highest satisfaction levels with fare levels, the security in buses, and waiting times. Women reported feeling discriminated against in their daily commutes. Poor-quality University bus service contributes to a negative feedback loop that increases automobile use and reduces university travel sustainability.
Impact of COVID-19 Restriction on Weight, Physical Activity, Diet and Psychological Distress on People with PCOS

Background: People with polycystic ovary syndrome (PCOS) have higher weight gain and psychological distress compared to those without PCOS. While COVID-19 restrictions led to population level adverse changes in lifestyle, weight gain and psychological distress, their impact on people with PCOS is unclear. The aim of this study was to investigate the impact the 2020 COVID-19 restrictions had on weight, physical activity, diet and psychological distress for Australians with PCOS. Methods: Australian reproductive-aged women participated in an online survey with assessment of weight, physical activity, diet and psychological distress. Multivariable logistic and linear regression were used to examine associations between PCOS and residential location with health outcomes. Results: On adjusted analysis, those with PCOS gained more weight (2.9%; 95% CI; 0.027–3.020; p = 0.046), were less likely to meet physical activity recommendations (OR 0.50; 95% CI; 0.32–0.79; p = 0.003) and had higher sugar-sweetened beverage intake (OR 1.74; 95% CI 1.10–2.75; p = 0.019) but no differences in psychological distress compared to women without PCOS. Conclusions: People with PCOS were more adversely affected by COVID-19 restrictions, which may worsen their clinical features and disease burden. Additional health care support may be necessary to assist people with PCOS to meet dietary and physical activity recommendations.
News environment-knowledge perception for fake news detection

Automatic fake news detection is crucial for society. Existing methods mainly focus on the post's content or taking advantage of external sources to make a decision. Recently a new approach called NEP has been proposed, it constructed out news environment for each news to capture popularity and novelty as other evidence. However, NEP neglects the changeable environment and it is weak when news breaks out or is published several times. Commonsense knowledge related to a post has sufficient reliability compared with the news environment or external news evidence, and it can bring a stable benefit for distinguishing fake news. Based on this, we search out commonsense knowledge for each post and propose the News Environment-Knowledge Perception (NEKP) based on NEP. For each post, we search out the related knowledge items on Wikimedia. Then we fuse this knowledge through an existing fake news detector–DeClarE. Finally, we fuse the news environment, knowledge, and the news itself to make a detection. Experiments on NEP datasets show that commonsense knowledge is another helpful piece of evidence.
Prediction of novel operating parameters using Six Sigma: A study in the steel making process

Abstract It is now imperative to improve global competitiveness in an organization by upgrading process performance, enriching operational excellence besides organizational excellence. This paper illustrates flexible and practical application of Six Sigma DMAIC (Define, Measure, Analyze, Improve, Control) to optimize the process parameters for the operating regime for dephosphorization in hot metal with low silicon (< 0.4%) while steel making. The statistical techniques such that hypothesis testing, non-parametric test and regression techniques were used to statistically define the key process parameters which had significant impact on dephosphorization. Six Sigma methodology was adopted to define the optimal values required to achieve the desired phosphorus level (< = 0.015%). This paper is based on case study of a renowned steel company of India, imprints that amount of oxygen blown and tapping temperature were significantly impacting the above dephosphorization process. The regression model was recommended for reference of steel engineers and managers for maintaining an optimum level of above process parameters in augmenting production of low Phosphorus steel grade. Steel industrialists, academics, consultants, researchers and Six Sigma practitioners will benefit from this study. The success of this study would help more such industries in improving the performance of similar processes.
Impact of service quality dimensions on customer satisfaction in priority sector lending

Priority Sector Lending (PSL) is a financial inclusion strategy that encourages banks to support vital industries for stimulating economic expansion. This study aims to analyse how different service quality parameters affect customer satisfaction. The 339 people who used PSL for agricultural and educational loans provided responses. Path analysis using Structural Equation Modelling (SEM) was used to assess the impact of the five dimensions on customer satisfaction. The results of the path analysis revealed that only reliability, responsiveness and tangibility have significantly impacted customer satisfaction. There exists an opportunity for improvement in the extent to which bankers demonstrate assurance and empathy during the loan processing phase of the priority sector lending scheme. The study provides valuable insights for employees and customers alike, shedding light on the nature of the services rendered and received. Furthermore, the results of this research can inform policy makers in making decisions aimed at promoting the delivery of outstanding customer service.
Over-Expression of Soybean GmSAUL1 Enhances Disease Resistance in Nicotiana tabacum

E3 ubiquitin ligases play essential roles in plant defense responses. However, their roles in other plant species have not been investigated extensively. Here, we used a gain-of-function approach to interrogate the function of GmSAUL1 (Senescence-Associated E3 Ubiquitin Ligase 1) homologs in soybeans. Ectopic over-expression of GmSAUL1a in Nicotiana tabacum resulted in autoimmune responses that could be suppressed by high temperature, which is a hallmark of NLR (nucleotide-binding leucine-rich repeat protein)-mediated resistance. Interestingly, an elevated activation of NtMPK6, but reduced activation of NtMPK4, responding to flg22 treatment, was observed in these GmSAUL1a-over-expressing tobacco lines, suggesting that over-expressing GmSAUL1a activates immune signaling through activating NtMPK6, but suppressing NtMPK4 kinase activity. Collectively, these results demonstrated that GmSAUL1 plays a positive and pivotal role in soybean immunity that is likely governed by NLR proteins.
Do CEO Characteristics Matter in Product Recalls?

Abstract This study examines the effect of CEO characteristics such as gender, age, tenure, functional background, stock ownership, compensation scheme and dual role on the stock market returns of automobile companies, around the announcement of product recalls. Using an event study, for a sample of 2,576 product recalls in the US automobile industry, between January 2010 and June 2021, we observe that the stock market’s reaction to a product recall announcement is negative. However, the impacts on the cumulative abnormal returns around the announcement of product recalls of the company’s CEO being female, the CEO tenure, the CEO having an operations or marketing background, the ratio of CEO long-term compensation to total compensation and the CEO and Chairperson being the same person are all positive and statistically significant, showing that these CEO characteristics mitigate the negative effects on a company’s financial value caused by product recalls.
Added value of molecular karyotype in childhood acute lymphoblastic leukemia

Abstract Background Thanks to an improved therapeutic regimen in childhood B‐cell precursor acute lymphoblastic leukemia (BCP‐ALL), 5 year‐overall survival now exceeds 90%. Unfortunately, the 25% of children who relapse have an initial poor prognosis, potentially driven by pre‐existing or emerging molecular anomalies. The latter are initially and essentially identified by cytogenetics. However, some subtle alterations are not visible through karyotyping. Methods Single nucleotide polymorphisms (SNP) array is an alternative way of chromosomal analysis allowing for a more in‐depth evaluation of chromosomal modifications such as the assessment of copy number alterations (CNA) and loss of heterozygosity (LOH). This method was applied here in retrospective diagnosis/relapse paired samples from seven children with BCP‐ALL and in a prospective cohort of 38 newly diagnosed childhood cases. Results In the matched study, compared to the initial karyotype, SNP array analysis reclassified two patients as poor prognosis cases. Modulation during relapse was seen for 4 CNA and 0.9 LOH. In the prospective study, SNP reclassified the 10 patients with intermediate karyotype as 7 good prognosis and 3 poor prognosis. Ultimately, in all the children tested, SNP array allowed to identify additional anomalies compared to conventional karyotype, refine its prognostic value and identify some druggable anomalies that could be used for precision medicine. Overall, the anomalies detected could be segregated in four groups respectively involved in B‐cell development, cell proliferation, transcription and molecular pathways. Conclusion SNP therefore appears to be a method of choice in the integrated diagnosis of BCP ALL, especially for patients initially classified as intermediate prognosis. This complementary method of both cytogenetics and high throughput sequencing allows to obtain further classified information and can be useful in case of failure of these techniques.
Characteristics of Bulletproof Vests Made from COPEFB Fiber: Implications on Mechanical, Electrical, and Physical Resistance

This research aims to examine the characteristics of bulletproof vests from corncob oil palm empty fruit bunch (COPEFB) biocomposite, where mechanical, electrical, and physical resistance tests have been successfully conducted. The variations in the diameter of the twisted thread used to make the basic material for bulletproof vests include 1 mm, 3 mm, 6 mm, and 10 mm, which were tested for their mechanical, electrical, and physical properties. To identify which biocomposite is good at damping bullets, an impact and a firing test were carried out to determine the kinetic energy and the depth of the bullet, respectively. The results showed that the impact value improved with an increase in the diameter of the twisted yarn used. The largest and the lowest impact values were 1.157 kJ and 0.277 kJ on the epoxy sample with a twisted thread diameter of 10 mm and 1 mm, respectively. It was also discovered that the biocomposite samples made from 6 mm to 10 mm twisted threads were the best samples, impermeable to bullets. This was due to the excess natural fiber content which improved the flexibility and absorption of kinetic energy from the high rate of projectile bullets. According to the results of the firing test, some samples are translucent, while others cannot be penetrated by bullet projectiles. The projectile went inside, and the composite was damaged. All the high filler loading samples were translucent to bullets, while some of the low loading samples were translucent and impermeable to bullets. Based on these results, biocomposite samples made of 6 mm and 10 mm twisted yarn are the best samples that are impermeable to bullets.