Miracle-dz/UniFAR-FTUs huggingface dataset:
Estimation of the Economic Losses Related to Calf Mortalities Kars Province , in Turkey

In this study, calf in Turkey live cattle stock in an important position in terms of the Kars dairy cattle-feeding operation, maintenance practices and differences in the level of knowledge and is intended to determine the economic losses due to calf mortalities. The material of the study was constituted by the data obtained from the interviews conducted with 108 dairy cattle business owners in the central villages of Kars. In the interviews, data about 0-180 days old patients and deceased calves were collected from livestock enterprise owners in 2016-2017. In this study, economic losses due to calf mortality were determined by taking into account the calculation methods in the literatüre. In the study, it was determined that 281 (24.65%) of 1140 calves had various diseases in 2017 and 63 (5.52%) of them died. It was calculated that an average of 156.32 TRY ($43.95) was spent per animal and the economic loss due to calves that died was estimated as 4.597 TRY ($1.293). As a result, it has been shown that training studies aiming to increase producer knowledge levels in minimizing calf diseases and deaths are important.
Synthesis of μ-ABC Tricyclic Miktoarm Star Polymer via Intramolecular Click Cyclization

Cyclic polymers exhibit unique physical and chemical properties because of the restricted chain mobility and absence of chain ends. Although many types of homopolymers and diblock copolymers possessing cyclic architectures have been synthesized to date, there are relatively few reports of cyclic triblock terpolymers because of their synthetic difficulties. In this study, a novel synthetic approach for μ-ABC tricyclic miktoarm star polymers involving t-Bu-P4-catalyzed ring-opening polymerization (ROP) of glycidyl ethers and intramolecular copper-catalyzed azido-alkyne cycloaddition (CuAAC) was developed. First, the t-Bu-P4-catalyzed ROP of decyl glycidyl ether, dec-9-enyl glycidyl ether, and 2-(2-(2-methoxyethoxy) ethoxy) ethyl glycidyl ether with the aid of functional initiators and terminators was employed for the preparation of a clickable linear triblock terpolymer precursor possessing three azido and three ethynyl groups at the selected positions. Next, the intramolecular CuAAC of the linear precursor successfully produced the well-defined tricyclic triblock terpolymer with narrow dispersity in a reasonable yield. The present strategy is useful for synthesizing model polymers for studying the topological effects on the triblock terpolymer self-assembly.
A Photovoltaic Power Curtailment Method for Operation on Both Sides of the Power-Voltage Curve

Massive integration of non-dispatchable energy into electric power systems is a challenging task. Electric power systems are becoming increasingly vulnerable in terms of frequency stability, as renewable energy displaces conventional synchronous generation from the energy mix. For this reason, grid codes are starting to demand different ancillary services from renewable generators, such as frequency control. In contrast to wind generators, which can deliver to the grid part of the kinetic energy stored in their rotating mass, photovoltaic generators must provide this service using batteries or power curtailment methods. The latter approach is preferable regarding the initial investment and its implementation cost, and several methods have been presented in the literature for this purpose. However, there is no consensus in which is the most appropriate side for operating the photovoltaic system in the curtailed mode. As both possible options have advantages and drawbacks, this paper proposes a novel photovoltaic power curtailment strategy that allows operation on both sides of the power-voltage curve depending on the needs. Moreover, in order to estimate the output characteristic of the photovoltaic system, a real-time nonlinear least squares curve fitting is applied. The proposed methodology has been tested in a simulation environment and the results show that this strategy achieves the requested active power reserves, regardless of the operation side.
Enhancing Photoluminescence Quantum Yield in 0D Metal Halides by Introducing Water Molecules

Enhancing photoluminescence quantum yield (PLQY) is one of the most important issues in photoluminescent materials. Herein, a molecule design strategy to improve the PLQY in 0D metal halides is proposed. Two new lead‐free organic–inorganic metal halide hybrids with broadband orange emissions have been prepared with a PLQY increase of 57% from (C6N2H16)SbCl5 (I) to (C6N2H16)SbCl5⋅H2O (II) by introducing H2O molecules. These two compounds have very similar inorganic frameworks, except that the incorporation of water molecules in II increases the distance between the [SbCl5] polyhedra. It is revealed that the increase of PLQY is mainly attributed to the generation of more local photoelectrons resulting from the additional water molecules. This work provides a new insight to improve the PLQY for 0D environmentally friendly organic–inorganic metal halide hybrids and is beneficial for further photoluminescent material exploration.
A Study on the Contribution of a Buffer Coated with a Perfect Conductor to Constructing Eigenmodes in Square HAPCF

The finite element method (FEM) was carried out to investigate the eigenmodes of square hole-assisted photonic crystal fiber (HAPCF). The Krylov-Schur iteration method was applied to solve the large matrix eigen equation that resulted from FEM. HAPCF is conventional optical fiber with air holes added on the interface between the core and cladding. HAPCF is divided into two classes. One has a buffer coated with a perfect conductor and the other was constructed with the same buffer of the dielectric as the cladding. As a result, transverse magnetic (TM) and transverse electric (TE) spectra were described schematically with the transverse vector fields, the longitudinal scalar fields and their projected contour lines on the cross section of the fiber. The mode types could be determined mainly with the contour lines of the longitudinal scalar field on the cross section of HAPCF. It was found that the buffer coated with the perfect conductor has a great influence on the forming characteristics of the eigenmodes. From the spectra, it was identified that the TM transverse vector fields were almost perfectly constrained in the core area, but the transverse vector fields of TE modes were distributed over to the buffer layer. So, it was understood that more reliable analysis is possible when describing eigenmodes with these three kinds of spectra.
Wakeup scheduling for energy-efficient communication in opportunistic mobile networks ( Drone Small Cells case study )

Unmanned Aerial Vehicles (UAV) were initially developed for military monitoring and surveillance tasks but found several interesting applications in the civilian domain. A promising application/technology is to use Drone Small Cells (DSCs) to expand wireless communication coverage on demand. Rapid deployment along with limited operating costs are key factors that boost the development of DSCs for both military and civilian utilization. DSCs are rapidly deployable to provide connectivity for temporary users (e.g., Festival, sport event or seminar attendees) or over disaster areas to replace damaged communication infrastructure. UAVs are battery-powered which makes energy consumption optimization a critical issue for acceptable performance, high availability and an economically viable DCSs deployment. In this report, we focus on the scheduling of beaconing periods as an efficient mean of energy consumption optimization. the conducted study provides sub-modular game perspective of the problem and investigates its structural properties. We also provide a learning algorithm that ensures convergence of the considered UAV network to its unique Nash Equilibrium operating point. Finally, we conduct extensive numerical investigations to assist our claims about energy efficiency of the strategic beaconing policy (at Nash equilibrium).
An Exploration of Entrepreneurial Learning from Entrepreneuring Perspective: An entrepreneur's Experience Narrative

The paradigm of research on entrepreneurialism has shifted from focusing on economic and entrepreneurship frameworks to the dynamic processes of lifelong entrepreneurial development, which has broadened the scope of research topics in the field of entrepreneurialism. To elucidate the process of entrepreneurial learning, this study adopted an action perspective to clarify the totality of entrepreneurial processes through the narrative of an entrepreneur named Ly. Through analyzing the diverse characteristics of entrepreneurial processes, this study identified the following three crucial implications: (a) entrepreneurial abilities and resources for entrepreneurs can be created from scratch; (b) the development of entrepreneurial abilities and acquisition of resources occurs through bottom-up processes; (c) entrepreneurial opportunities are derived through recognizing and understanding industry trends. Keywords—Entrepreneuring perspective; Entrepreneurial learning; Narrative inquiry
Desmoid-type fibromatosis arising in the inguinal region in a young woman: a case report from a histopathological perspective

© Our Dermatol Online 3.2020 255 How to cite this article: Bartoš V. Desmoid-type fi bromatosis arising in the inguinal region in a young woman: a case report from a histopathological perspective. Our Dermatol Online. 2020;11(3):255-259. Submission: 16.09. 2019; Acceptance: 23.11. 2019 DOI:10.7241/ourd.20203. 7 Desmoid-type fi bromatosis arising in the inguinal region in a young woman: a case report from a histopathological perspective
Effect of weld reinforcement on axial plastic buckling of welded steel cylindrical shells

The effect of weld reinforcement on axial plastic buckling of welded steel cylindrical shells is investigated through experimental and numerical buckling analysis using six welded steel cylindrical shell specimens. The relationship between the amplitude of weld reinforcement and the axial plastic buckling critical load is explored. The effect of the material yield strength and the number of circumferential welds on the axial plastic buckling is studied. Results show that circumferential weld reinforcement represents a severe imperfect form of axially compressed welded steel cylindrical shells and the axial plastic buckling critical load decreases with the increment of the mean amplitude of circumferential weld reinforcement. The material yield strength and the number of circumferential welds are found to have no significant effect on buckling waveforms; however, the axial plastic buckling critical load can be decreased to some extent with the increase of the number of circumferential welds.
Herbage production from five grazable forages

Maintaining an adequate feed supply throughout the year is an important consideration in dairy systems. Systems based on perennial ryegrass pastures are often limited by poor growth and feed quality when soil moisture is low and temperatures are high. Alternative forage species better adapted to these conditions may provide options for maintaining feed supply. Annual and seasonal dry matter (DM) production, and nutritive value of five grazable forages with and without irrigation were compared under cutting in the Waikato over two successive years. Perennial ryegrass produced the greatest annual DM yield in both years under both irrigation regimes, largely through superior cool season production and mild temperatures with above average rainfall during the experiment. Plantain tended to provide more DM than perennial ryegrass under irrigation in summer and autumn, a time when additional DM is important for maintaining milk production. With the exception of sudan grass, nutritive value of all forages exceeded values expected to limit milk production.
Impact of idiopathic pulmonary fibrosis in lung cancer patients : a systematic review and meta-analysis

Idiopathic pulmonary fibrosis (IPF) is associated with increased risk of lung cancer. However, incidence of lung cancer in IPF patients is uncertain. Moreover, clinicopathological characteristics, clinical outcomes, and risk factors of postoperative deterioration in lung cancer patients with IPF remain unclear. Therefore, the present systematic review and meta-analysis was performed to address these issues. This study systematically searched Embase and PubMed databases, up through May 2, 2016, with a total 52 studies ultimately included. Weighted mean differences are expressed for continuous outcomes, hazard ratios for time-to-event outcomes, and relative risks for other dichotomous outcomes. Study-specific measures were combined using fixed or random effects models. Subgroup analysis was performed to identify sources of heterogeneity. During prospective follow-ups, 995 lung cancer patients with IPF were included, with an incidence of 14%. However, incidence rates were different in different countries. The highest incidence was in Japan, followed by the US. The lowest incidence was in the UK. Lung cancer patients with IPF were more frequently found in male, elderly, and heavy smoking patients. Tumors were usually located in the lower lobe and the major histologic type was squamous cell carcinoma. Patients undergoing surgical treatment showed markedly higher postoperative rates of pulmonary complications and worse prognosis. Patients with a lower preoperative percentage of forced vital capacity and higher serum LDH, CRP, and KL-6 seemed to develop acute exacerbation much easier. This meta-analysis described epidemiological and clinical characteristics in lung cancer patients with IPF. Results suggest that IPF patients may have potential risks of developing lung cancer, especially lower lobe squamous cell carcinoma. Additionally, due to bad prognosis in lung cancer patients with IPF, careful preoperative evaluation and perioperative management are necessary.
The Spatiotemporal Dynamics of Low-abundance Bioactive Lipids in Arteries Undergoing Restenosis Observed and Identified at High Spatial Resolving Power with Multi-modal Mass Spectrometry Imaging

The most common remedy for reduced or obstructed circulation is balloon angioplasty. While acutely effective, the treatment causes restenosis in a high fraction of patients via neointimal lesions. A significant barrier to unravelling the mechanisms of restenosis concerns the dynamic spatial profiling of bioactive lipids in the arterial wall [1]. Applying matrix-assisted laser desorption-ionization (MALDI) and time-offlight secondary ion mass spectrometry (TOF-SIMS) imaging, we conducted a first spatiotemporal lipidomic study of angioplasty-induced restenosis in a small animal model. The MS imaging data revealed that diacylglycerol (DG) and lyso-phosphatidylcholine (LPC) signals increased within the neointima layer of the 7and 14-day injured specimens compared to the controls, while sphingomyelin (SM) signals decreased versus the controls.
Carbon capture and storage: The ten year challenge

Abstract Carbon capture and storage (CCS) could play a significant role in reducing global CO2 emissions. It has the unique characteristic of keeping fossil carbon in the ground by allowing fossil fuels to be used, but with the CO2 produced being safely stored in a geological formation. Initial versions of the key component technologies are at a sufficient level of maturity to build integrated commercial-scale demonstration plants. If CCS is to reach its full potential to contribute to global efforts to mitigate the risk of dangerous climate change, it is urgent that a number of actions begin now in order to be ready for CCS deployment from around 2020 using proven designs that can be built in large numbers. This article discusses some key challenges for CCS, with a focus on development in the next decade, highlighting the potential benefits of a two tranche programme for integrated commercial-scale demonstration to develop proven reference plant designs and reviewing the importance of distinguishing between different classes of CCS according to their ability to significantly reduce CO2 emissions associated with fossil fuel use. It also identifies some ongoing CCS projects and initiatives and examines some possible implications of current policy discussions for technology development.
Statistical Methods in Phylogenetic and Evolutionary Inferences

Molecular instruments are the most accurate methods in organisms’identification and characterization. Biologists are often involved in studies where the main goal is to identify relationships among individuals. In this framework, it is very important to know and apply the most robust approaches to infer correctly these relationships, allowing the right conclusions about phylogeny. In this review, we will introduce the reader to the most used statistical methods in phylogenetic analyses, the Maximum Likelihood and the Bayesian approaches, considering for simplicity only analyses regardingDNA sequences. Several studieswill be showed as examples in order to demonstrate how the correct phylogenetic inference can lead the scientists to highlight very peculiar features in pathogens biology and evolution.
Smoking and Comorbidities in Covid-19: A Systematic Review

COVID-19 is highly contagious, causing pneumonia, respiratory failure, death, and becoming a pandemic Patients with severe infections must be treated in the Intensive Care Unit (ICU) with a ventilator Ventilator facilities in the ICU are limited;it must take precautions by knowing the characteristics of patients at high risk of severe disease in COVID-19, one of which was smoking or comorbidity The purpose of this study was to assess the risk of comorbidity and smoking in COVID-19 This study used systematic review by searching for articles from the ScienceDirect and Medline databases with journals published on January 1, 2019 - March 31, 2020 The results of the study showed that there were 12 relevant articles full text in English and were analysed The conclusion was that patients with COVID-19 who were smoking or had comorbidities were more susceptible to COVID-19 infection, more severe illness, and causing death
First and Second Least Action Principles: de Broglie Frequency and Neutron Decay

We propose two kinds of least action principles. The ﬁrst one is deﬁned in a periodictime,andwhenappliedtocreationandannihilationofparticlepairs,leadstotheformulafor the de Broglie frequency. The second one is deﬁned in a double-time’s metric,namely the longitudinal and transverse (related to the discreteness of the space) times.If applied to a problem dealing with the ﬂuctuations of the metric, this second principlepermit us to infer a coherence time. We interpret this as the neutron decay time, wherewe take the ﬂuctuation in the kinetic energy as being the diﬀerence between the mass-energy of the neutron minus the sum of the mass-energies of the proton and electron.The neutron decay time evaluated in this way, does not make any explicit reference tothe weak interactions.
A Fusion Algorithm of Multi-model Pruning and Collaborative Distillation Learning

In order to improve the prediction performance, the complex depth network model needs a large number of calculation parameters, and the negative impact is the fact that it greatly increases the calculation time and energy consumption. In this paper, a fusion algorithm of model pruning and joint multi-model knowledge distillation learning is proposed. By constructing an adaptive joint learning loss function including distillation, multi-model training is carried out. This method can replace the training process of model fine-tuning after pruning. In this paper, firstly, multi classification tasks are carried out on different model structures and data sets, and a complex network model with good effect is trained as a teacher’s model. Then, the channel pruning process of random pruning degree is executed to generate multiple student models. Finally, the accuracy of multiple student models is improved by using this method. The experimental results show that this method effectively improves the accuracy of each model after pruning, and the experimental results achieve a suitable balance between model performance and accuracy.
Do Co-Opted Directors Influence Corporate Risk-Taking and Credit Ratings?

Abstract Motivated by agency theory, we explore the effect of co-opted directors, i.e. directors appointed after the incumbent CEO assumes office, on corporate risk taking and its consequences on credit ratings. Our results show that a higher proportion of co-opted directors on the board leads to significantly higher corporate risk-taking, as reflected by the substantially higher volatility in stock returns and a higher standard deviation of Tobin’s q. The evidence is consistent with the notion that co-opted directors bring about less effective board monitoring, which allows managers to take more risk. Finally, we show that co-opted directors lead to significantly lower credit ratings.
580 Adaptive Tetrahedral Mesh Generation of 3 D Heterogeneous Objects

In this paper, a step-wise tetrahedral mesh generation method is introduced to solve the adaptive meshing problems of 3D heterogeneous objects, in which both the material heterogeneity and the geometric complexity have to be taken into account. In light of that, the proposed meshing strategy embraces three steps: initial mesh generation, material-oriented refinement, and geometry-oriented refinement. In the material-oriented refinement, a global refinement algorithm based on optimal Delaunay triangulation (ODT) is designed to control the mesh adaptation in terms of the material distribution. Compared to the refinement strategies based on local modifications, the global refinement algorithm takes full advantages of the material heterogeneity information and distributes the material composition variation over elements as equally as possible. As a result, the number of elements is reduced to a great extent regarding a given material threshold. Implementations show that the proposed approach guarantees desirable mesh adaptation as well as high mesh quality.
SUPERNOVA DRIVING. III. SYNTHETIC MOLECULAR CLOUD OBSERVATIONS

We present a comparison of molecular clouds (MCs) from a simulation of supernova (SN) driven interstellar medium (ISM) turbulence with real MCs from the Outer Galaxy Survey. The radiative transfer calculations to compute synthetic CO spectra are carried out assuming that the CO relative abundance depends only on gas density, according to four different models. Synthetic MCs are selected above a threshold brightness temperature value, TB,min = 1.4 K, of the J = 1 − 0 12CO line, generating 16 synthetic catalogs (four different spatial resolutions and four CO abundance models), each containing up to several thousands MCs. The comparison with the observations focuses on the mass and size distributions and on the velocity–size and mass–size Larson relations. The mass and size distributions are found to be consistent with the observations, with no significant variations with spatial resolution or chemical model, except in the case of the unrealistic model with constant CO abundance. The velocity–size relation is slightly too steep for some of the models, while the mass–size relation is a bit too shallow for all models only at a spatial resolution dx ≈ 1 pc. The normalizations of the Larson relations show a clear dependence on spatial resolution, for both the synthetic and the real MCs. The comparison of the velocity–size normalization suggests that the SN rate in the Perseus arm is approximately 70% or less of the rate adopted in the simulation. Overall, the realistic properties of the synthetic clouds confirm that SN-driven turbulence can explain the origin and dynamics of MCs.