Miracle-dz/UniFAR-FTUs huggingface dataset:
The Pricing Risk of Energy Use Intensity for Office and Multifamily Mortgages

Author(s): Mathew, Paul; WALLACE, Nancy; Issler, Paulo | Abstract: Prior studies have shown that energy use is related to commercial mortgage defaults. This report presents the results of a new and tractable methodology to estimate the association between energy use and mortgage pricing sensitivity - specically the origination contract rate and points - of oce and multifamily mortgages. Source Energy Use Intensity (Source EUI) is our key energy eciency measure of interest due to its increasing availability through local energy eciency benchmarking programs and the potential ease of its construction from the utility bills of commercial buildings. Based upon an empirical model of mortgage default transitions for a sample of 610 securitized office and multifamily mortgages from Trepp, we simulate the loan-by-loan mortgage prices using a four factor dynamic model with: i) a measure of Source EUI that is scaled to the the net operating income of the property, called Scaled Source EUI, ii) the Electricity Price Gap, the cumulative dierence between expected and actual realized electricity prices, iii) loan-to-value ratio, and iv) the 10-year LIBOR rate. We find a statistically signicant positive association between mortgage default and Scaled Source EUI and a statistically signicant and negative association between the Scaled Source EUI of buildings and the simulated market prices of the mortgages written on those buildings. We then derive two sensitivity measures with respect to changes in Scaled Source EUI: i) the sensitivity of mortgage points to a 1% change in Scaled Source EUI; ii) the sensitivity of the mortgage coupon to a 1% change in Scaled Source EUI. We nd that sensitivity of mortgage points to 1% shocks to Scaled Source EUI is 7.71 and 4.0 basis points respectively for oce and multifamily loans. We nd that the sensitivities of mortgage coupons to 1% shocks to Scaled Source EUI is 2.10 and 0.84 basis points respectively for office and multifamily loans.
A cause-related marketing model for the iranian banking system: a phenomenological approach

Despite almost four decades of introducing the Cause-Related Marketing (CRM) concept into business and marketing literature, there is still no general agreement as to the definition, content, and scope of marketing, in particular, in countries such as Iran. In this regard, while this article will examine and present the conceptual framework of this issue during the period of creation, it aims to achieve a conceptual model for Cause-Related Marketing in the banking system of Iran. For this reason, the concept of Cause-Related Marketing is analyzed in terms of its origin and evolution, content and scope, and various well-known definitions. The first part reviews the subject literature and integrates the findings of previous researchers. The second section was done by the phenomenological method and through a detailed interview with banking system experts. The study population was senior managers of Keshavarzi Bank, and the strategy of sampling was non-random, available, and utilized theoretical sampling methods. In this regard, 16 senior managers of the Agricultural Bank of Iran were selected as the statistical sample for data collection. Qualitative data were analyzed using open and axial coding using the MaxQDA12pro software. Findings separate the concept of Cause-Related Marketing from other related or similar terms and describe various types of Cause-Related Marketing campaigns. Finally, the phenomenological method was used to examine and provide the dimensions and components of Cause-Related Marketing in the banking system of Iran. Analyzing the results of the interviews shows that Cause-Related Marketing in the banking system has direct (management, economic, and characteristics of the causal activities) and indirect (social, scientific, cultural, religious, and geographical components) dimensions.
Cultivated Pastures Affect Nutrient Intake and Feeding Behavior of Sheep

Cultivated pastures may increase the meat production of sheep, but it is necessary to understand the plant-animal relationships in a pastoral environment. This study aimed to assess the effect of forage cultivars on the intake and feeding behavior of sheep. Four treatments were evaluated, consisted of the cultivars Panicum maximum cvs. Aruana and Massai and Brachiaria brizantha cvs. Marandu and Piata. Twenty-four sheep, male of the Santa Ines genotype, were used with six replications per treatment. Daily forage and nutrient intakes were evaluated in addition to time in grazing, rumination, and leisure activities. The animals in the pasture of Aruana grass demanded the most extended times of grazing and rumination (p<0.05). The leisure time was higher (p<0.05) in the animals kept in pastures of Piata grass. The highest intakes of dry matter and crude protein in g/day (p<0.05) were found in the animals kept in the pasture of Marandu grass, and a smaller intake was found in the animals kept in the pasture of Massai grass. Intake of leaf blades was higher (p<0.05) in the animals kept in pastures of Massai and Marandu. The neutral detergent fiber intake did not differ among the cultivars. It is concluded that pasture structure and chemical composition of tropical forage cultivars influence the nutrient intake and feeding behavior of sheep. The low leaf blade offer of the pasture of the Aruana grass negatively affects the feeding behavior of the sheep, but the crude protein in forage of this cultivar favors the nutrient intake, feed conversion, and performance of sheep.
Somatic embryo induction and Agrobacterium-mediated transformation of embryonic callus tissue in Phoebe bournei, an endangered woody species in Lauraceae

Phoebe bournei, a plant species endemic to China, is a precious timber tree and widely used in landscaping. This tree contains numerous secondary metabolites, underscoring its potential economic value. However, studies on this species, including molecular genetic research, remain limited. In this study, both a somatic embryogenesis (SE) technical system and Agrobacterium-mediated genetic transformation were successfully employed in P. bournei for the first time. The SE technical system was constructed using immature embryos as original material. The primary embryo and embryonic callus induction rates were 30.66% and 41.67%, respectively. The highest rate of embryonic callus proliferation was 3.84. The maximum maturity coefficient and germination rate were 53.44/g and 39%, respectively. Agrobacterium-mediated genetic transformation was performed using the SE technical system, and the highest transformation rate was 11.24%. The results presented here are the first to demonstrate an efficient approach to achieve numerous P. bournei plantlets, which serves as the basis for artificial cultivation and resource conservation. Furthermore, the genetic transformation platform constructed in this study will facilitate assessment of gene function and molecular regulation.
Comparison of Pain Perception between Clear Aligners and Fixed Appliances: A Systematic Review and Meta-Analysis

We aimed to compare the pain discomfort levels between clear aligners and fixed appliances at multiple time points. Four electronic databases (Pubmed, Medline, CENTRAL and Scholar) were searched up to May 2020. There were no year or language restrictions. Randomized clinical trials and case–control studies comparing pain perception through pain visual analog scale (VAS) in patients treated with clear aligners and with fixed appliances were included. Risk of bias within and across studies was assessed using Cochrane tool and Newcastle–Ottawa Scale (NOS) approach. Random-effects meta-analysis were conducted. VAS score and analgesic consumption were collected. Random-effects meta-analyses were used to synthesize available data. Following the review protocol, five articles met the inclusion criteria and were included, with a total of 273 participants (177 females, 96 males). Overall, clear aligners were associated with significantly less pain than fixed appliances during the first seven days of orthodontic treatment. Patients treated with clear aligners experience less pain discomfort than those treated with fixed appliances and consume less analgesics, with SORT A recommendation.
Bacterian Species Identification from Raw Cow Milk Sample – A Case Study

The raw milk can support a wide variety of microbiota, due to its high nutritional content. These microorganisms become from a variety of sources and in farm animals and can cause serious damage by infecting the mammary glands and causing mastitis. The mastitic milk is an important source of disease among the consumers. In this paper, we present a study case of pathogenic bacteria identification by DNA based methods from raw milk samples which were collected from farm cows with severe recurrent mastitis. Previously it was diagnosticated that multidrug resistant bacteria E. coli strains are causing those infections. The laboratory procedure consisted of isolation of DNA from raw cow milk samples, followed by PCR based bacterial identification and DNA sequencing. Data collected from sequencing experiment were aligned against reference sequences from bacterial strains. In our study it was found that Pseudomonas aeruginosa, is present in the mastitic milk samples.
Parametric and nonparametric inference for the reliability of copula‐based stress‐strength models

This paper provides a general treatment of statistical inference for the reliability in copula‐based stress‐strength models. Most of the current literature is either focused on specific models that yield clean formulas or restricted to estimation and engineering aspects without addressing statistical inference. We present two general frameworks, one parametric, one nonparametric, for the estimation of the reliability. The parametric methodology is presented under the general framework of estimating equations, mostly as a combination of existing methodologies from the fields of multivariate analysis, reliability, and econometrics, with some new results. The nonparametric methodology is a novel application based on an existing bivariate kernel method combined with Monte Carlo estimation of the reliability without specification of the copula or the margins. We present results from a small simulation study designed to assess the robustness of the methods discussed in terms of model misspecification. We used geotechnical data and data from the Brazilian Household Survey to illustrate the proposed methodologies in the estimation of factors of safety and financial fragility.
Linking Network Characteristics of Online Social Networks to Individual Health: A Systematic Review of Literature

ABSTRACT Social networks have long been viewed as a structural determinant of health. With the proliferation of digital technologies, numerous studies have examined the health implications of online social networks (OSNs). However, the mechanisms through which OSNs may influence individual health are poorly understood. Employing a social network approach, this paper presents a systematic review of the literature examining how network characteristics of OSNs are linked to individuals' health behavior and/or status. Drawing on keyword searches in nine databases, we identified and analyzed 22 relevant articles from 1,705 articles published prior to 2017. The findings show that individual health is associated with a number of network characteristics, including both individual-level attributes (e.g., centrality) and network-level attributes (e.g., density, clustering). All of the included studies (n = 22) have focused on egocentric networks, and nine studies also collected whole network data of online health communities. Based on our review, we highlight three fruitful areas in the application of OSNs in public health: (1) disease and risk detection, (2) disease prevention and intervention, and (3) health behavior change. However, the precise mechanisms and causal pathways through which OSNs affect health remain unclear. More theoretically grounded, longitudinal, and mixed methods research is needed to advance this line of research.
Drug adherence among adult hypertensives attending medical out-patient clinic in a tertiary hospital in Ogun State, Nigeria

© BUMJ. 2020 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. Drug adherence among adult hypertensives attending medical out-patient clinic in a tertiary hospital in Ogun State, Nigeria Bamidele E, Sodeinde K, Adefala K, Osinaike A, Omotosho A
A Period-Aware Hybrid Model Applied for Forecasting AQI Time Series

An accurate, reliable and stable air quality prediction system is conducive to the public health and management of atmospheric ecological environment; therefore, many models, individual or hybrid, have been implemented widely to deal with the prediction problem. However, many of these models do not take into consideration or extract improperly the period information in air quality index (AQI) time series, which impacts the models’ learning efficiency greatly. In this paper, a period extraction algorithm is proposed by using a Luenberger observer, and then a novel period-aware hybrid model combined the period extraction algorithm and tradition time series models is build to exploit the comprehensive forecasting capacity to the AQI time series with nonlinear and non-stationary noise. The hybrid model requires a multi-phase implementation. In the first step, the Luenberger observer is used to estimate the implied period function in the one-dimensional AQI series, and then the analyzed time series is mapped to the period space through the function to obtain the period information sub-series of the original series. In the second step, the period sub-series is combined with the original input vector as input vector components according to the time points to establish a new data set. Finally, the new data set containing period information is applied to train the traditional time series prediction models. Both theoretical proof and experimental results obtained on the AQI hour values of Beijing, Tianjin, Taiyuan and Shijiazhuang in North China prove that the hybrid model with period information presents stronger robustness and better forecasting accuracy than the traditional benchmark models.
Applications of DSP in DC Drives RV Machines and AC Drives SPIM Machines

— The specific requirements for data acquisition, processing, and control in the studied electrical drive for Digital signal processing (DSP), the cornerstone of numerous applications that power electronics and the development of high-performance drives is one of them, for example, drives. The designed controller for dc and ac drives using DSP TMS320F28335. The controlled with current and speed controller is designed and implemented using MATLAB/SIMULINK program, that is the current and speed response is verified through simulations and experiments. The paper is proposed solution is developed for the case of two part types, that first part of study to the DC drives for roof ventilator (RV) is a diameter about 75 cm, the RV will be direct coupling into dc machines, a new power conversion on machinery with roof ventilator (RV) dc machines at maximum rated dc voltage 24V, 117W. The DC motor operation mode it can control variable speed on rang 0-800 rpm. And the second part, proposed to study to the AC drives for the Single-phase induction motor (SPIM) is transformed from a non-linear to linear control plant, at maximum rated 3hp (2.2kW) 220V 50Hz. The indirect rotor field-oriented control (IRFOC). The SPIM operation mode it can control variable speed on rang 0-1000 rpm. In this paper that is is a review of DSP applications that provides a guideline to further analyses and improve power conversion in electrical system pertinent to DC and AC drives technique.
Quality of ram spermatozoa separated with modified swim up method

Semen was collected from four rams, using artificial vagina and viability%, motility% and plasma membrane integrity% were measured. Fresh ejaculates (n = 32) were separated by modified swim-up separation using modified human tubal fluid medium. Four fractions of supernatant were collected at 15-minute intervals. The mean volume, mass activity, concentration, motility%, viability%, normal morphology and membrane integrity% (HOST +ve) of fresh semen were 1.0 ± 0.14, 4.1 ± 0.1 × 109 spermatozoa/ml, 85.0 ± 1.3 , 89.4 ± 1.0, 85.5 ± 0.7, 84.7 ± 0.5 respectively. There was no significant (P>0.05) difference in fresh semen quality parameters between rams. The motility%, viability% and HOST +ve % of first, second, third and fourth fractions were 53.4 ± 0.5, 68.2 ± 0.3, 74.8 ± 0.3 and 65.5 ± 0.4; 55.5 ± 0.4, 66.2 ± 0.4, 74.5 ± 0.3 and 73.6 ± 0.3 and 66.7 ± 0.5, 66.8 ± 0.5, 65.2 ± 0.4 and 74.7 ± 0.5 respectively. The motility%, viability% and membrane integrity% of separated semen samples differed significantly (P<0.05) between four fractions. The mean motility% and viability% were significantly higher (P<0.05) in third fraction (74.8 ± 0.3%), whereas the mean HOST +ve% was significantly higher (P<0.05) in fourth fraction (74.7 ± 0.5). All quality parameters of separated spermatozoa were significantly (P<0.05) lower than that of fresh semen. The pregnancy rates were higher with fresh semen (71%) in comparison to that of separated sample (57%). Bangl. vet . 2016. Vol. 33, No. 2, 62-70
Observer‐based decentralized adaptive neural control for uncertain interconnected systems with input quantization and time‐varying output constraints

In this article, observer‐based decentralized adaptive neural control is proposed for uncertain interconnected nonlinear systems with input quantization and time‐varying output restrictions. Decentralized hysteresis quantizer is employed to handle input signal. The unmeasured states are estimated by designing K‐filters. A Lyapunov description is used to dispose of state unmodeled dynamics. The constrained interconnected nonlinear systems are transformed into novel interconnected nonlinear systems without output constraints by constructing invertible nonlinear mappings. Dynamic surface control technique and a hyperbolic tangent function are adopted to design decentralized controller, which has a simpler structure. Stability analysis indicates that all the signals in the closed‐loop system are semiglobally uniformly ultimately bounded and system outputs satisfy the constraints. Two numerical examples are used to verify the effectiveness of the theoretical findings.
Fatality in COVID 19: an overview of causes of death and organ involvement

COVID-19 is a viral infectious disease caused by the SARS CoV-2 virus, which is a respiratory pathogen. It originated in the city of Wuhan in China from where it spread throughout the world. This virus causes severe respiratory distress in a certain number of patients with specific risk factors. In our article, authors plot the route from the onset of the disease to its progress to death in patients, and determine the most likely causes that lead to such a poor prognosis. Authors also evaluate the severity and extent of organ damage that is involved and associated with fatality in cases with COVID-19. Authors also aim for clinicians to better understand and perceive the circumstances under which a patient may progress from severe infection towards death, and manage such cases in a more efficient manner.
Development and validation of the method for simultaneous determination of Benzydamine hydrochloride and methylparaben in dosage form by HPLC

Мета дослідження. Метою даної роботи було розробити та затвердити метод ВЕРХ для одночасного визначення бензидаміну гідрохлориду (АФІ) та метилпарабену (консервант) у лікарській формі, що містить бензидамін гідрохлорид як активний фармацевтичний інгредієнт. Методи. Розділення проводили на колонці Grace Altima C18 (250*4,6 мм, розмір частинок 5 мкм). Рухома фаза складалася з 3,0 г перхлорату натрію, 1 мл триметиламіну і доводилася до рН 3 перхлорною кислотою. Швидкість потоку рухомої фази становила 1 мл / хв, довжина хвилі виявлення – 320 нм для гідрохлориду бензидаміну та 254 нм для метилпарабену. Результати. Метод був перевірений відповідно до вимог ICH Q2 і визнаний надійним, специфічним, лінійним в діапазоні від 80 % до 120 % для аналізованої речовини. Максимальне RSD для кожного з'єднання становило менше 1.3 %. Точність методу була в межах критеріїв прийнятності. Висновки. Метод одночасного визначення бензидаміну гідрохлориду та метилпарабену був розроблений і затверджений відповідно до вимог Міжнародної конференції з гармонізації. Всі параметри валідації відповідають критеріям прийнятності керівництва. Розроблений метод може бути застосований в рутинному контролі в лабораторіях контролю якості для одночасного визначення бензидаміну гідрохлориду та метилпарабену в лікарських формах бензидаміну. Ключові слова: ВЕРХ, бензидамін гідрохлорид, метилпарабен, валідація методу, одночасне визначення.
Analysis of water and electricity consumption of urea fertilizer industry: case study PT. X

Urea fertilizer industry is one of the many industry sectors that require water and electrical energy. The use of water in the fertilizer industry increases with the increasing demand for fertilizers. Therefore, to meet the needs of water and electricity, fertilizer industry builds river water treatment plants into clean water by using coagulation, flocculation and filtration. Unit power plant using gas turbines with natural gas fuel with a total design capacity of 67 MW. The purpose of this study was to estimate the consumption of water and electricity in urea fertilizer industry. The method used in this research is quantitative descriptive. This study showed total urea production in 2018 amounted to 2,170,100 tons with total water consumption by 27,742,225.4 m3 (equivalent 12.8 m3/ton of urea) and electricity consumption amounted to 376,979,956 kWh (equivalent to 173 kWh/ton urea). The result of highest percentage of water allocation is 45% for the process unit and electricity allocation is 36% for the utility unit.