Miracle-dz/UniFAR-FTUs huggingface dataset:
Dilemmas in the Choice of Adequate Therapeutic Treatment in Patients with Acute Pulmonary Embolism—From Modern Recommendations to Clinical Application

Pulmonary thromboembolism is a very common cardiovascular disease, with a high mortality rate. Despite the clear guidelines, this disease still represents a great challenge both in diagnosis and treatment. The heterogeneous clinical picture, often without pathognomonic signs and symptoms, represents a huge differential diagnostic problem even for experienced doctors. The decisions surrounding this therapeutic regimen also represent a major dilemma in the group of patients who are hemodynamically stable at initial presentation and have signs of right ventricular (RV) dysfunction proven by echocardiography and positive biomarker values (pulmonary embolism of intermediate–high risk). Studies have shown conflicting results about the benefit of using fibrinolytic therapy in this group of patients until hemodynamic decompensation, due to the risk of major bleeding. The latest recommendations give preference to new oral anticoagulants (NOACs) compared to vitamin K antagonists (VKA), except for certain categories of patients (patients with antiphospholipid syndrome, mechanical valves, pregnancy). When using oral anticoagulant therapy, special attention should be paid to drug–drug interactions, which can lead to many complications, even to the death of the patient. Special population groups such as pregnant women, obese patients, patients with antiphospholipid syndrome and the incidence of cancer represent a great therapeutic challenge in the application of anticoagulant therapy. In these patients, not only must the effectiveness of the drugs be taken into account, but great attention must be paid to their safety and possible side effects, which is why a multidisciplinary approach is emphasized in order to provide the best therapeutic option.
On the number of a SDRs of a valued (t,n)-family

A system of distinct representatives (SDR) of a family $F = (A_1, \cdots, A_n)$ is a sequence $(x_1, \cdots, x_n)$ of $n$ distinct elements with $x_i \in A_i$ for $1 \le i \le n$. Let $N(F)$ denote the number of SDRs of a family $F$; two SDRs are considered distinct if they are different in at least one component. For a nonnegative integer $t$, a family $F=(A_1,\cdots,A_n)$ is called a $(t,n)$-family if the union of any $k\ge 1$ sets in the family contains at least $k+t$ elements. The famous Hall's Theorem says that $N(F)\ge 1$ if and only if $F$ is a $(0,n)$-family. Denote by $M(t,n)$ the minimum number of SDRs in a $(t,n)$-family. The problem of determining $M(t,n)$ and those families containing exactly $M(t,n)$ SDRs was first raised by Chang [European J. Combin. {\bf 10}(1989), 231-234]. He solved the cases when $0\le t\le 2$ and gave a conjecture for $t\ge 3$. In this paper, we solve the conjecture. In fact, we get a more general result for so-called valued $(t,n)$-family.
Phytopharmacognostic Review on Bryonia laciniosa (Shivlingi Beej)

Infertility varies across the regions of the world and it has been estimated to affect 8 to 12% couples worldwide. Bryonia laciniosa Linn commonly called as shivlingi is a medicinal plant belongs to the family Cucurbitaceae. It is a uterine tonic and improves the chances of conception in women suffering from infertility. Main chemical constituent is ‘Bryonin’ and it is folk medicine, its traditional uses are also reported like adenopathy, ague, asthma, bronchitis, carbuncles, cholera, colic, consumption, convulsions, cough, delirium, fertility, headache, megalospleny, paralysis, phthisis, snake bite. Its pharmacological proven as antidiabetic, anti-inflammatory, for obesity and specially for treatment of infertility. According to literature it is fertility enhancer herb used in ayurveda along with Putrajeevak Beej.
Village Community Empowerment Model in Smart Village Perspective (Study on Village Communities in Jombang Regency)

Along with the ability of the community and government to manage their area, currently the focus of development is not only on cities/districts but moving towards rural areas. One of the development concepts that can be used is the smart village.The concept of smart village empowerment is designed as an enabler of competitive, sustainable and inclusive village development.Therefore, this study aims to develop a smart village that can be applied to rural areas in Jombang Regency.The model-building method is used to reconstruct the conceptual model that is collided with the existing empirical conditions.The results of the study contained three basic dimensions of a smart village, namely smart government, smart people, and smart environment.These dimensions will produce a harmonious collaboration in a constructive and sustainable manner.In addition, to achieve the goal of collaboration, it is necessary to use technology and information (IT) so that the welfare and independence of the village community of Jombang Regency can be achieved.
Cell and Matrix Mechanics

Active Mechanics of the Cytoskeleton Jose Alvarado and Gijsje Koenderink Mechanobiology of the Cell Membrane Peter J Butler, Hari S Muddana, and Sara Farag Cellular Reconstitution of Actively Self-Organizing Systems Orit Siton-Mendelson, Barak Gilboa, Yaron Ideses, and Anne Bernheim-Groswasser Structural and Dynamical Hierarchy of Fibrillar Collagen Xiaojing Teng and Dr Wonmuk Hwang Cell-Matrix and Cell-Cell Mechanical Interactions Assaf Zemel and Ralf Kemkemer Dynamic Stress Fiber Reorganization on Stretched Matrices Roland Kaunas Mechanics of Cell-Seeded ECM Scaffolds Guy M Genin and Elliot L Elson Cell Motility in 3D Matrices Yasha Sharma and Muhammad H Zaman Collective Cell Migration Nir S Gov Connective Tissue Development Albert K. Harris Cellular Forces in Morphogenesis Larry A Taber Mechanics of Tissue Morphogenesis Michael J Siedlik and Celeste M Nelson Continuum Physics of Tumor Growth Kristen L Mills, Shiva Rudraraju, Ralf Kemkemer, and Krishna Garikipati Cell Force-Mediated Collagen Remodeling in Cancer Metastasis Paolo P Provenzano Index
Reliability of optical gate array for C-Sign operator

We study optical gate array of KLM model of quantum computer for C-Sign operator, which contains linear elements and two nonlinear phase shifts. Linear elements and photon counting are taken to be ideal, whereas nonlinear phase shifts are subject of realistic and unavoidable factors of decoherence: the immediate photon leak from cavities and mediated leakage with the atom, which flies out of the cavity and plays the role of ancilla. We use JC model with Lindblad master equation to estimate the dependence of the validity of C-Sign operator from the rate of photon leak and estimate the limitation, which this validity imposes to quantum computations.
Scaling genetically guided fuzzy clustering

Describes improvements to previous work on the use of genetic algorithms and evolutionary strategies to generate fuzzy partitions of unlabeled data. It was found that genetically guided clustering could be used in some domains to produce fuzzy partitions for which the objective function does not get trapped in local extrema. Gray code representation, two-point crossover tournament selection, and variable crossover and mutation rates combine for improved performance in terms of the final partition and the required population size. Also, methods to allow this approach to scale to problems such as magnetic resonance imaging (22000 pixels in 3D) are detailed. Initially, using properly chosen subsamples of the full data allows the genetically guided approach to move to good regions in the search space quickly. Examples are given to show how local extrema of an objective function (and thereby poor data partitions) can be avoided in domains with a large number of patterns.
Effects of Mono-Vacancies and Co-Vacancies of Nitrogen and Boron on the Energetics and Electronic Properties of Heterobilayer h-BN/graphene

A study is carried out which investigates the effects of the mono-vacancies of boron (VB) and nitrogen (VN) and the co-vacancies of nitrogen (N), and boron (B) on the energetics and the structural, electronic, and magnetic properties of an h-BN/graphene heterobilayer using first-principles calculations within the framework of the density functional theory (DFT). The heterobilayer is modelled using the periodic slab scheme. In the present case, a 4 × 4-(h-BN) monolayer is coupled to a 4 × 4-graphene monolayer, with a mismatch of 1.40%. In this coupling, the surface of interest is the 4 × 4-(h-BN) monolayer; the 4 × 4-graphene only represents the substrate that supports the 4 × 4-(h-BN) monolayer. From the calculations of the energy of formation of the 4 × 4-(h-BN)/4 × 4-graphene heterobilayer, with and without defects, it is established that, in both cases, the heterobilayers are energetically stable, from which it is inferred that these heterobilayers can be grown in the experiment. The formation of a mono-vacancy of boron (1 VB), a mono-vacancy of nitrogen (1 VN), and co-vacancies of boron and nitrogen (VBN) induce, on the structural level: (a) for 1 VB, a contraction n of the B-N bond lengths of ~2.46% and a slight change in the interfacial distance D (~0.096%) with respect to the heterobilayer free of defects (FD) are observed; (b) for 1 VN, a slight contraction of the B-N of bond lengths of ~0.67% and an approach between the h-BN monolayer and the graphene of ~3.83% with respect to the FD heterobilayer are observed; (c) for VBN, it can be seen that the N-N and B-B bond lengths (in the 1 VB and 1 VN regions, respectively) undergo an increase of ~2.00% and a decrease of ~3.83%, respectively. The calculations of the Löwdin charge for the FD heterobilayer and for those with defects (1 VB, 1 VN, and VBN) show that the inclusion of this type of defect induces significant changes in the Löwdin charge redistribution of the neighboring atoms of VB and VN, causing chemically active regions that could favor the interaction of the heterobilayer with external atoms and/or molecules. On the basis of an analysis of the densities of states and the band structures, it is established that the heterobilayer with 1 VB and VBN take on a half-metallic and magnetic behavior. Due to all of these properties, the FD heterobilayer and those with 1 VB, 1 VN, and VBN are candidates for possible adsorbent materials and possible materials that could be used for different spintronic applications.
Multi-source dynamic ensemble prediction of infectious disease and application in COVID-19 case

Background The development of an epidemic always exhibits multiwave oscillation owing to various anthropogenic sources of transmission. Particularly in populated areas, the large-scaled human mobility led to the transmission of the virus faster and more complex. The accurate prediction of the spread of infectious diseases remains a problem. To solve this problem, we propose a new method called the multi-source dynamic ensemble prediction (MDEP) method that incorporates a modified susceptible-exposed-infected-removed (SEIR) model to improve the accuracy of the prediction result. Methods The modified SEIR model is based on the compartment model, which is suitable for local-scale and confined spaces, where human mobility on a large scale is not considered. Moreover, compartmental models cannot be used to predict multiwave epidemics. The proposed MDEP method can remedy defects in the compartment model. In this study, multi-source prediction was made on the development of coronavirus disease 2019 (COVID-19) and dynamically assembled to obtain the final integrated result. We used the real epidemic data of COVID-19 in three cities in China: Beijing, Lanzhou, and Beihai. Epidemiological data were collected from 17 April, 2022 to 12 August, 2022. Results Compared to the one-wave modified SEIR model, the MDEP method can depict the multiwave development of COVID-19. The MDEP method was applied to predict the number of cumulative cases of recent COVID-19 outbreaks in the aforementioned cities in China. The average accuracy rates in Beijing, Lanzhou, and Beihai were 89.15%, 91.74%, and 94.97%, respectively. Conclusions The MDEP method improved the prediction accuracy of COVID-19. With further application to other infectious diseases, the MDEP method will provide accurate predictions of infectious diseases and aid governments make appropriate directives.
Garside-theoretic analysis of Burau representations

We establish relations between both the classical and the dual Garside structures of the braid group and the Burau representation. Using the classical structure, we formulate a non-vanishing criterion for the Burau representation of the 4-strand braid group. In the dual context, it is shown that the Burau representation for arbitrary braid index is injective when restricted to the set of \emph{simply-nested braids}.
Effects of Magnesium Oxide Nanoparticles Incorporation on Shear Bond Strength and Antibacterial Activity of an Orthodontic Composite: An In Vitro Study

This study aimed to evaluate the effects of magnesium oxide (MgO) nanoparticle (NP) incorporation on shear bond strength (SBS) and antibacterial property of orthodontic composites. A total of 100 mounted premolar teeth were randomly divided into five groups. In group 1 (control), the brackets were bonded to the teeth using the GC Ortho Connect orthodontic composite, while the brackets of groups 2 to 5 were bonded by the GC Ortho Connect orthodontic composite that contained 0.5%, 1%, 2%, and 4% weight percentages (w/w) of MgO NPs, respectively and then the SBS was measured. In the following, we evaluated the antibacterial properties of the MgO NP-containing composite on Streptococcus mutans (S. mutans) bacteria by the direct contact test method. According to results, there were no significant changes in the SBS as the MgO NP concentration was increased up to 1%, while the SBSs of the 2% and 4% MgO NPs were decreased when compared to the other three groups. The outcomes of the direct contact test indicated the case of 1% as being the minimum ratio of MgO NPs, which almost caused the entire annihilation of the S. mutans bacteria. In conclusion, the orthodontic composite containing 1% MgO NPs can display a significant antibacterial effect against S. mutans bacteria without inducing any negative effect on the SBS.
LosaTM: A Hardware Transactional Memory Integrated With a Low-Overhead Scenario-Awareness Conflict Manager

The vigorous development of high compute-intensive applications has led to the demand for maximizing the concurrency of multicore processors. The best-effort hardware transactional memory(HTM) is an important technology adopted by vendors to improve the potential concurrency of multicore processors, but the HTM implementations on commercial products have some drawbacks for its simplicity and need some further optimizations to enable more exploitation of concurrency. In this article, we propose and evaluate a novel design of HTM, called LosaTM, which can provide a scenario-awareness conflict management strategy. By leveraging the proposed feature of multiple-grained coherency maintenance in the coherence protocol, LosaTM resolves most false conflicts at a half-cache-line granularity. Furthermore, we design a winner/aborter vector conflict management algorithm to improve the efficiency of LosaTM in handling friendly-fire and unfairness competition that we have newly defined. In order to coordinate these integrated conflict management strategies, a scheduling strategy is also proposed to adaptively select the appropriate management according to the specific conflict scenario. We use gem5 to simulate LosaTM in detail on an 8-core tiled CMP system, and the simulation result shows that it only causes 0.7% of the L1 cache size hardware overhead while achieving a 38% average execution time reduction on the native STAMP. The speedup also demonstrates that LosaTM outperforms the state-of-the-art designs in previous works.
Analysis of road traffic injuries and casualties in China: a ten-year nationwide longitudinal study

Background Road traffic injuries (RTIs) are a serious global problem, and a huge challenge for both economic development and public health. Methods This longitudinal study was based on the national data from Chinese authorities. Descriptive analysis was utilized to analyze the prevalence and trend of RTIs among different types, groups and regions. In addition, ridge regression or/and curve regression were also used to explore the relationship between those possible influencing factors and RTIs. Results From 2010 to 2019, the death toll from motor vehicle accidents (MVAs) decreased firstly and then increased, while the death toll from non-MVAs continued to rise since 2012, and the death toll from pedestrian and occupant accidents fluctuated only a little. The mortality rate of MVA was relatively stable from 2010 to 2012, and declined from 2013. The mortality rate of motor vehicle accidents was higher in rural than urban, the same to male compared with female. The results of ridge regression showed that gross domestic product (GDP)-per-capita, total population, number of health personnel and car ownership were positively correlated with the death toll of non-MVAs (P < 0.05). Additionally, the results of curve regression suggested that the quadratic or cubic relationship between each factor and the number of MVAs was well fitted, while only partially fitted in fatalities. Conclusions In recent years, RTIs in China show different trends, and the problem of non-motor vehicle traffic injuries has been neglected which should be paid more attention. Moreover, according to the new trends and traffic conditions in RTIs revealed in this study, it is necessary to formulate targeted intervention measures establish a multi-faceted comprehensive safety system to reduce the disease burden of RTIs as well as the total injuries.
Long-Term Outcomes of Same Patient Eyes Treated with Pars Plana Vitrectomy in One Eye and Conventional Treatment in the Other for Complications of Proliferative Diabetic Retinopathy

The purpose of this study was to evaluate the long-term, real-world outcomes of pars plana vitrectomy (PPV) for complications of proliferative diabetic retinopathy. A retrospective review involving 64 patients with proliferative diabetic retinopathy that underwent PPV in their worse-seeing eye were followed for a minimum of 8 years. The fellow eye underwent conventional treatment. Patients were divided into two groups by age: patients younger than 50 years of age and patients older than 50. In the younger than 50 group, 89% of vitrectomized eyes had improved visual acuity (VA) while 3.6% had decreased VA. A total of 14% of vitrectomized eyes required additional laser and 11% required reoperations. In the conventional treatment eyes, 25% had improved VA while 68% had decreased VA (p < 0.05). A total of 72% required additional laser and 60% required PPV. In the older than 50 group, 86% of vitrectomized eyes had VA improvement and 3% had decreased VA. A total of 8% required laser and 8% required reoperations. In the conventional treatment eyes, 30% improved VA and 48% had decreased VA (p < 0.05). Additional procedures required included laser in 70% and PPV in 17%. In both age groups, eyes that underwent PPV had better final visual outcomes than eyes that received conventional treatment for PDR.
Dynamic bedrock channel width during knickpoint retreat enhances undercutting of coupled hillslopes

Mountain landscapes respond to transient tectonic and climate forcing through a bottom‐up response of enhanced bedrock river incision that undermines adjoining hillslopes, thus propagating the signal from the valley bottom to the valley ridges. As a result, understanding the mechanisms that set the pace and pattern of bedrock river incision is a critical first step for predicting the wider mechanisms of landscape evolution. Typically, the focus has been on the impact of channel bed lowering by the upstream migration of knickpoints on the angle, length and relief of adjoining hillslopes, with limited attention on the role of dynamic channel width. Here, we present a suite of physical model experiments that show the direct impact of knickpoint retreat on the reach‐scale channel width, across a range of flow discharges (8.3 to 50 cm3 s−1) and two sediment discharges (0 and 0.00666 g cm−3). During knickpoint retreat, the channel width narrows to as little as 10% of the equilibrium channel width, while the bed shear stress is >100% higher immediately upstream of a knickpoint compared to equilibrium conditions. We show that only a fraction of the channel narrowing can be explained by existing hydraulic theory. Following the passage of a knickpoint, the channel width returns to equilibrium through lateral erosion and widening. For the tested knickpoint height, we demonstrate that the lateral adjustment process can be more significant for hillslope stability than the bed elevation change, highlighting the importance of considering both vertical and lateral incision in landscape evolution models. It is therefore important to understand the key processes that drive the migration of knickpoints, as the localized channel geometry response has ongoing implications for the stability of adjoining hillslopes and the supply of sediment to the channel network and export from landscapes onto neighbouring depositional plains.
Stability and bifurcation of a soap film spanning an elastic loop

The Euler--Plateau problem, proposed by \cite{gm}, concerns a soap film spanning a flexible loop. The shapes of the film and the loop are determined by the interactions between the two components. In the present work, the Euler--Plateau problem is reformulated to yield a boundary-value problem for a vector field that parameterizes both the spanning surface and the bounding loop. Using the first and second variations of the relevant free-energy functional, detailed bifurcation and stability analyses are performed. For spanning surface with energy density $\sigma$ and a bounding loop with length $2\pi R$ and bending rigidity $a$, the first bifurcation, during which the spanning surface remains flat but the bounding loop becomes noncircular, occurs at $\sigma R^3/a=3$, confirming a result obtained previously via an energy comparison. Other bifurcation solution branches, including those emanating from the flat circular solution branch to nonplanar solution branches, are also shown to be unstable.
Quadratic-Extended-Duty-Ratio Boost Converters for Ultra High Gain Application With Low Input Current Ripple and Low Device Stress

A new quadratic extended-duty-ratio (EDR) non-isolated boost converter is introduced here for ultra-high gain applications. The proposed converter is a combination of EDR boost converter and conventional quadratic boost converter. Quadratic boost converters can achieve high gain with lower component count while the EDR boost converter has low device stress while achieving high gain. A novel Quadratic EDR (Q-EDR) boost converter is proposed which is capable of attaining ultra high gain at moderate levels of duty with low voltage and current stress across different devices. Two different configurations of the proposed topology are presented with the interleaved version being able to reduce the current ripple further and the converter can be extended to $M$-phases in both the configurations. Detailed analysis of a 4-phase converter is presented along with converter design considerations. The performance of the proposed topology is validated through a 1 kW, 4-phase hardware prototype operating at 20 V-36 V input to 600 V output at 60 kHz. Experimental results corresponding to both interleaved and non-interleaved converter configurations are presented. Experimental results show that the converter can attain a conversion ratio of 30 at an operational duty close to 0.64 in the interleaved configuration. The switch voltage stress is limited to 150 V and quadratic stage diode voltage stress is limited to be less than 100 V for 600 V output condition enabling the use of low voltage devices. The converter is able to achieve a peak efficiency of 95.82% for 36 V to 600 V operation at 660 W.