Miracle-dz/UniFAR-FTUs huggingface dataset:
Implant-prosthetic Rehabilitation after Removal of a Maxillary Cyst with Maxillary Sinus Involvement, without using Bone Augmentation Materials

Inflammatory odontogenic cysts are among the most frequent lesions of the maxillary bones. Through their evolution, these pathological formations may affect adjacent anatomical structures such as the nasal fossae or the maxillary sinus. Patient rehabilitation is a time-consuming process that can be a challenge for medical practitioners. In this study, authors present the case of a patient with a maxillary cyst involving the maxillary sinus, rehabilitated by implant-prosthetic treatment without using bone augmentation materials. Removal of the maxillary cyst was performed with the preservation of the maxillary sinus membrane, with apicectomy of the teeth adjacent to the cyst and extraction of the causative tooth. The post-cystectomy bone defect was protected with a pericardium membrane, and after 6 months postoperatively, a dental implant was placed in the edentulous area. Three years after cystectomy, the presence of mature bone in the defect area and the stability of the implant-prosthetic restoration could be observed. The rehabilitation method proved to be effective in obtaining a predictable and stable therapeutic outcome.
Using dark energy to suppress power at small scales

The latest Planck results reconfirm the existence of a slight but chronic tension between the best-fit Cosmic Microwave Background (CMB) and low-redshift observables: power seems to be consistently lacking in the late universe across a range of observables (e.g.~weak lensing, cluster counts). We propose a two-parameter model for dark energy where the dark energy is sufficiently like dark matter at large scales to keep the CMB unchanged but where it does not cluster at small scales, preventing concordance collapse and erasing power. We thus exploit the generic scale-dependence of dark energy instead of the more usual time-dependence to address the tension in the data. The combination of CMB, distance and weak lensing data somewhat prefer our model to $\Lambda$CDM, at $\Delta\chi^2=2.4$. Moreover, this improved solution has $\sigma_8=0.79 \pm 0.02$, consistent with the value implied by cluster counts.
Acquired hemophilia

Acquired hemophilia A (AHA) is a rare disorder, having an incidence of approximately one per million per year with a one in five mortality rate . It is due to autoantibodies against coagulation factor VIII which neutralizes the procoagulant activity and results in severe and life-threatening bleeding. It is seen in patients with no prior history of hemophilia A. It may be associated with pregnancy, autoimmune diseases, malignancy, infections or medication. It occurs mostly in elderly. Approximately 50% of the patients have no underlying pathological conditions. Clinical manifestations include spontaneous hemorrhages in the skin, muscles or soft tissues or excessive bleeding during surgery. Hemarthrosis, hallmark of congenital severe hemophilia A is seldom seen. The diagnosis is based upon reduced FVIII levels and isolated prolongation of activated partial thromboplastintime (aPTT) which does not normalize after addition of normal plasma. The treatment involves removal of antibodies and maintaining effective hemostasis during bleeding episodes. Treatment options for removal of antibodies are immunoadsorption, immunosuppression or immune tolerance induction (ITI). Treatment of acute bleeding episodes includes use of bypassing agents like recombinant activated factor VII and activated prothrombincomplex concentrate in patients with high titer of inhibitors or antifibrinolytics, vasopressin (DDAVP) or FVIII concentrates in patients having low titer of inhibitors. Rituximab, an anti-CD20 monoclonal antibody can be used alone or in combination with immunosuppressive therapy in patients not responding to standard immunosuppressors .
The Neurogenetics of Nice: Receptor Genes for Oxytocin and Vasopressin Interact With Threat to Predict Prosocial Behavior

Oxytocin, vasopressin, and their receptor genes influence prosocial behavior in the laboratory and in the context of close relationships. These peptides may also promote social engagement following threat. However, the scope of their prosocial effects is unknown. We examined oxytocin receptor ( OXTR ) polymorphism rs53576, as well as vasopressin receptor 1a ( AVPR1a ) polymorphisms rs1 and rs3 in a national sample of U.S. residents ( n = 348). These polymorphisms interacted with perceived threat to predict engagement in volunteer work or charitable activities and commitment to civic duty. Specifically, greater perceived threat predicted engagement in fewer charitable activities for individuals with A/A and A/G genotypes of OXTR rs53576, but not for G/G individuals. Similarly, greater perceived threat predicted lower commitment to civic duty for individuals with one or two short alleles for AVPR1a rs1, but not for individuals with only long alleles. Oxytocin, vasopressin, and their receptor genes may significantly influence prosocial behavior and may lie at the core of the caregiving behavioral system.
A PICARD-S HYBRID TYPE ITERATION METHOD FOR SOLVING A DIFFERENTIAL EQUATION WITH RETARDED ARGUMENT

We introduce a new iteration method what is called Picard-S itera- tion. We show that the Picard-S iteration method can be used to approximate fixed point of contraction mappings. Also, we show that our new iteration method is equivalent and converges faster than CR iteration method for the aforementioned class of mappings. Furthermore, by providing an example, it is shown that the Picard-S iteration method converges faster than all of Picard, Mann, Ishikawa, Noor, SP, CR, S and some other iteration methods in the existing literature when applied to contraction mappings. A data dependence result is proven for fixed point of contraction mappings with help of the new iteration method. Finally, we show that the Picard-S iteration method can be used to solve differential equations with retarded argument.
The Geometry of Total Curvature on Complete Open Surfaces

This is a self-contained account of how some modern ideas in differential geometry can be used to tackle and extend classical results in integral geometry. The authors investigate the influence of total curvature on the metric structure of complete, non-compact Riemannian 2-manifolds, though their work, much of which has never appeared in book form before, can be extended to more general spaces. Many classical results are introduced and then extended by the authors. The compactification of complete open surfaces is discussed, as are Busemann functions for rays. Open problems are provided in each chapter, and the text is richly illustrated with figures designed to help the reader understand the subject matter and get intuitive ideas about the subject. The treatment is self-contained, assuming only a basic knowledge of manifold theory, so is suitable for graduate students and non-specialists who seek an introduction to this modern area of differential geometry.
Measuring the ionization rate of in-flowing interstellar helium with the SOHO/CELIAS/SEM

Copyright: ESA Abstract The absolute measurement of solar EUV flux and its time dependence provide critical data on the solar driven photochemistry which results in solar system objects. In addition, the SEM measurements also provide the data required to determine the absolute photoionization rate of neutral interstellar helium flowing into our solar system. After hydrogen, helium is the most abundant substance found in interplanetary space, and the interstellar medium. In the inner solar system photoionization of helium is the dominant ionization process of the inflowing interstellar neutral helium. Thus, an accurate determination of the solar photoionization rate is a requirement in astrophysical research. The daily averaged photoionization rate of helium at 1 AU, derived from the SOHO CELIAS/SEM absolute solar extreme ultraviolet (EUV) flux values is presented for the time period since the launch of SOHO in December, 1995.
EDUCATION AND PRODUCTION

A study was conducted to determine the effects of adherent Lactobacillus culture on growth performance, intestinal microbial population, and serum cholesterol level of broilers. Four dietary treatments, consisting of the basal diet (control), basal diet + 0.05, 0.10, or 0.15% Lactobacillus culture (LC), were fed to 2,000 Arbor Acres broiler chicks from 1 to 42 d of age (DOA). The chicks were randomly assigned to 40 cages (50 chicks per cage, 10 cages per diet). The experimental period was 42 d. Body weights and feed to gain ratio were measured at 21 and 42 DOA. The intestinal microbial populations and serum cholesterol levels were determined at 10, 20, 30, and 40 DOA. The results showed that body weights and feed to gain ratios were improved significantly (P < 0.05) when compared to control broilers for broilers fed diets containing 0.05 or 0.10% LC, but not 0.15% LC, at 21 and 42 DOA. Coliform counts in the cecum of birds receiving 0.05% LC at 10, 20, and 30 DOA, and 0.10% at 10 and 20 DOA were significantly lower (P < 0.05) than those of the control birds. The total aerobes, total anaerobes, lactobacilli, and streptococci in the small intestines and ceca of the control birds were not significantly different from those of the treated groups. Serum cholesterol levels were significantly lower (P < 0.05) in broilers fed the three diets containing LC at 30 DOA, and in the birds fed 0.05 or 0.10% LC at 20 DOA. (
Informing Deep Argo Array Design Using Argo and Full-Depth Hydrographic Section Data*

AbstractData from full-depth closely sampled hydrographic sections and Argo floats are analyzed to inform the design of a future Deep Argo array. Here standard errors of local decadal temperature trends and global decadal trends of ocean heat content and thermosteric sea level anomalies integrated from 2000 to 6000 dbar are estimated for a hypothetical 5° latitude × 5° longitude × 15-day cycle Deep Argo array. These estimates are made using temperature variances from closely spaced full-depth CTD profiles taken during hydrographic sections. The temperature data along each section are high passed laterally at a 500-km scale, and the resulting variances are averaged in 5° × 5° bins to assess temperature noise levels as a function of pressure and geographic location. A mean global decorrelation time scale of 62 days is estimated using temperature time series at 1800 dbar from Argo floats. The hypothetical Deep Argo array would be capable of resolving, at one standard error, local trends from <1 m °C decade−1.
Multi-Junction Switching in Bi2Sr1.6La0.4CuO6+δ Intrinsic Josephson Junctions

We study the dynamics of multi-junction switching (MJS): several intrinsic Josephson junctions (IJJs) in an array switch to the finite voltage state simultaneously. The number of multi-switching junctions (N) was successfully tuned by changing the load resistance serially connected to an Bi2Sr1.6La0. 4CuO6+δ IJJ array. The independence of the escape rates of N in the macroscopic quantum tunneling regime indicates that MJS is a successive switching process rather than a collective process. The origin of MJS is explained by the gradient of a load curve and the relative magnitudes of the switching currents of quasiparticle branches in the current–voltage plane.
CLEP_A_304132 469..475

Point your SmartPhone at the code above. If you have a QR code reader the video abstract will appear. Or use: https://youtu.be/qPDeSjfZPbo Introduction: Aplastic anemia is a rare and potentially life-threatening hematological disorder with incidence of 1.4 to 14 cases/million. It is associated with exposures to certain environmental chemicals, drugs and infections. The objective was to investigate the association of illness with family history of aplastic anemia, exposure to pesticides and chemicals. Methodology: A hospital-based case–control study (191 cases, 696 controls) was conducted from 1st January 2015 to 31st December 2018 in Karachi, Sindh. Cases were patients with diagnosis of aplastic anemia confirmed with bone marrow biopsy. Controls neither had aplastic anemia nor other hematological chronic diseases. An in-person interview was conducted to collect demographic information, family history of aplastic anemia, and history of pesticide and chemical exposure. The adjusted odds ratios (aOR) with 95% confidence intervals (CI) were estimated via SPSS v22. Results: A total of 191 confirmed aplastic anemia cases were selected. Mean age was 29 years (range: 4–69) and predominantly there were males 129 (67.5%). The majority, 84 (44.0%), of the cases were aged 16–30 years. In multivariate analysis models, the significant associations were observed between aplastic anemia with family history of aplastic anemia (aOR=13.3, 95% C.I 3.66–48.50), exposure to pesticides (aOR=2.1, 95% C.I 1.23–3.61) and chemicals (aOR=3.6, 95% C.I 2.06–6.34). Conclusion: This study observed a significant association of aplastic anemia with family history of aplastic anemia, exposure to pesticide and insecticide exposure. However, to establish this connection, further longitudinal studies are warranted.
Charge sensing of an artificial H+2 molecule in lateral quantum dots

We report charge detection studies of a lateral double quantum dot with controllable charge states and tunable tunnel coupling. Using an integrated electrometer, we characterize the equilibrium state of a single electron trapped in the doubled-dot (artificial H2+ molecule) by measuring the average occupation of one dot. We present a model where the electrostatic coupling between the molecule and the sensor is taken into account explicitly. From the measurements, we extract the temperature of the isolated electron and the tunnel coupling energy. It is found that this coupling can be tuned between 0 and 60 micro electron-volt in our device.
ENHANCING MOMENTUM PROFITS THROUGH VOLATILITY TIMING AND COST MITIGATION TECHNIQUES

Despite the high expected returns of the momentum strategy, there are two main problems associated with it: (i) infrequent but severe losses known as momentum crashes, and (ii) high transaction costs. In this paper, we address the first problem with volatility timing strategies developed by Daniel and Moskowitz (2016) and Moreira and Muir (2017). Our results prove that not only are momentum crashes alleviated but returns on the WML (winner-minus-loser) portfolios formed with these strategies also go up remarkably compared to the simple buy-andhold ones. However, like the simple momentum strategy, volatility timing strategies suffer from large trading costs. We, therefore, propose combining these momentum strategies with the buy/hold spread cost-mitigation strategy formed by Novy-Marx and Velikov (2015). The outcome is a noticeable reduction in turnover and transaction costs, together with an improvement in the portfolio returns.
Principals ' goal-setting and actions while managing

Large amounts of research have been performed regarding goal-setting and leadership and its effect on organizational performance. However, in school settings, the amount of performed research about leadership performance in relation to goal-setting is limited. The aim of the study was, therefore, to analyze specificity of locally-created goals and the principal’s performance-affecting behaviors during meetings, especially in relation to set goals. Based on Komaki’s research on managerial behavior structured observation was used to analyze the principal’s actions while leading meetings. Adding to the observations Locke & Latham’s GoalSetting Theory was used to perform a content analysis investigating the specificity of written goals. In total, 56 goals from seven schools in a large county/municipality in Sweden were analyzed. In total, 1,235 minutes of a principal leading their staff during meetings were recorded and analyzed. A majority of the goals written in the schools’ work-plans lacked specificity. This study found that principals talked about their goals while leading their staff at meetings, and they changed their behavior towards a more performance-affecting management style while doing so.
ON THE BACKWARD BEHAVIOR OF SOME DISSIPATIVE EVOLUTION EQUATIONS

We prove that every solution of a KdV-Burgers-Sivashinsky type equation blows up in the energy space, backward in time, provided the solution does not belong to the global attractor. This is a phenomenon contrast to the backward behavior of the periodic 2D Navier-Stokes equations studied by Constantin-Foias-Kukavica-Majda [18], but analogous to the backward behavior of the Kuramoto-Sivashinsky equation discovered by Kukavica-Malcok [50]. Also we study the backward behavior of solutions to the damped driven nonlinear Schr¨odinger equation, the complex Ginzburg-Landau equation, and the hyperviscous Navier-Stokes equations. In addition, we provide some physical interpretation of various backward behaviors of several perturbations of the KdV equation by studying explicit cnoidal wave solutions. Furthermore, we discuss the connection between the backward behavior and the energy spectra of the solutions. The study of backward behavior of dissipative evolution equations is motivated by the investigation of the Bardos-Tartar conjecture stated in [5].
Asymptotics for Autocovariances and Integrated Periodograms for Linear Processes Observed at Lower Frequencies

One of the most frequently used class of processes in time series analysis is the one of linear processes. For many statistical quantities, among them sample autocovariances and sample autocorrelations, central limit theorems are available in the literature. We investigate classical linear processes under a nonstandard observation pattern; namely, we assume that we are only able to observe the linear process at a lower frequency. It is shown that such observation pattern destroys the linear structure of the observations and leads to substantially different asymptotic results for standard statistical quantities. Central limit theorems are given for sample autocovariances and sample autocorrelations as well as more general integrated periodograms and ratio statistics. Moreover, for specific autoregressive processes, the possibilities to estimate the parameters of the underlying autoregression from lower frequency observations are addressed. Finally, we suggest for autoregressions of order 2 a valid bootstrap procedure. A small simulation study demonstrates the performance of the bootstrap proposal for finite sample size.
RESEARCH PAPER Regulatory role of the cannabinoid CB 2 receptor in stress-induced neuroinﬂammation in mice

Departamento de Farmacología, Facultad de Medicina, Universidad Complutense de Madrid (UCM), Madrid, Spain, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain, Instituto de Investigación Sanitaria Hospital 12 de Octubre, Madrid, Spain, Instituto UCM de Investigación en Neuroquímica, Madrid, Spain, Departamento de Psiquiatría, Facultad de Medicina, Universidad Complutense de Madrid (UCM), Madrid, Spain, Instituto de Neurociencias, Universidad Miguel Hernández-CSIC Alicante, Madrid, Spain, and Red Temática de Investigación Cooperativa en Salud (RETICS-Trastornos Adictivos), Madrid, Spain Correspondence Borja García-Bueno, Department of Pharmacology, Faculty of Medicine University of Complutense 28040, Madrid, Spain. E-mail: bgbueno@med.ucm. es
Assessment of modifiable risk factors for acute lower Respiratory tract infections in under-five children

Background: Acute lower respiratory tract infection (ALRTI) continues to be the biggest killer worldwide of children under 5 years of age. Objective: The objective of this study is to identify and assess the modifiable risk factors for ALRTI in children under 5 years of age. Materials and Methods : This prospective case–control study was conducted in the pediatrics department of a tertiary care pediatric hospital. A sample size of 106 cases and 106 controls were selected. A detailed general and systemic examination (including respiratory and heart rate measurements, anthropometry, and nutritional assessment) along with the routine hematological investigations and chest X rays was done in both cases and controls. Other specific investigations were done as per requirement in individual cases, and all the cases were treated as per the standard protocol depending on the type of ALRTI. Chi-square-test was used and p<0.05 was taken as statistically significant. Results : Statistically significant risk factors identified with increased incidence of ALRTI included incomplete immunization for age, low socioeconomic status, families having more than two under-five children at home, family history of smoking, respiratory infections, overcrowding, use of biomass as fuel for cooking, lack of ventilation, not having separate kitchen, low birth weight, pre-lacteal feeding, lack of exclusive breastfeeding for 4–6 months, malnutrition, and anemia. Conclusion: The present study identifies various significant risk factors for severe pneumonia in under-five children.
A Real-Time Polyp-Detection System with Clinical Application in Colonoscopy Using Deep Convolutional Neural Networks

Colorectal cancer (CRC) is a leading cause of cancer-related deaths worldwide. The best method to prevent CRC is with a colonoscopy. During this procedure, the gastroenterologist searches for polyps. However, there is a potential risk of polyps being missed by the gastroenterologist. Automated detection of polyps helps to assist the gastroenterologist during a colonoscopy. There are already publications examining the problem of polyp detection in the literature. Nevertheless, most of these systems are only used in the research context and are not implemented for clinical application. Therefore, we introduce the first fully open-source automated polyp-detection system scoring best on current benchmark data and implementing it ready for clinical application. To create the polyp-detection system (ENDOMIND-Advanced), we combined our own collected data from different hospitals and practices in Germany with open-source datasets to create a dataset with over 500,000 annotated images. ENDOMIND-Advanced leverages a post-processing technique based on video detection to work in real-time with a stream of images. It is integrated into a prototype ready for application in clinical interventions. We achieve better performance compared to the best system in the literature and score a F1-score of 90.24% on the open-source CVC-VideoClinicDB benchmark.