Miracle-dz/UniFAR-FTUs huggingface dataset:
Molecular Phylogeny and Evolutionary Relationships between the Ciliate Genera Peniculistoma and Mytilophilus (Peniculistomatidae, Pleuronematida)

Peniculistoma mytili and Mytilophilus paciﬁcae are placed in the pleuronematid scuticociliate family Peniculistomatidae based on morphology and ecological preference for the mantle cavity of mytiloid bivalves. We tested this placement with sequences of the small subunit rRNA (SSUrRNA) and cytochrome c oxidase subunit 1 ( cox1 ) genes. These species are very closely related sister taxa with no distinct genetic difference in the SSUrRNA sequence but about 21% genetic difference for cox1 , supporting their placement together but separation as distinct taxa. Using infection frequencies, M. paciﬁcae , like its sister species P. mytili , does not interact with Ancistrum spp. , co-inhabitants of the mantle cavity. On the basis of these ecological similarities, the fossil record of host mussels, and features of morphology and stomatogenesis of these two ciliates, we argue that M. paciﬁcae derived from a Peniculistoma -like ancestor after divergence of the two host mussels. Our phylogenetic analyses of pleuronematid ciliates includes the SSUrRNA gene sequence of Sulcigera comosa , a Histiobalantium -like ciliate from Lake Baikal. We conclude: (i) that the pleu-ronematids are a monophyletic group; (ii) that the genus Pleuronema is para-phyletic; and (iii) that S. comosa is a Histiobalantium species. We transfer S. comosa to Histiobalantium and propose a new combination Histiobalantium comosa n. comb.
Automated Classification of chest X-ray images as normal or abnormal using Convolutional Neural Network

— Chest X-Rays are generally used for diagnosing abnormalities in the thoracic area. Radiologists need to spend significant amount of time for interpreting scans. Automatic classification of these images could greatly help radiology interpretation process by enhancing real world diagnosis of problems. Hence, radiologists can focus on detecting abnormalities from the abnormal images rather than checking for it in all the images. In this paper, we present a machine learning approach to solve this problem. Here, the algorithm uses Convolutional Neural Networks (CNN) to learn and classify chest X-ray images as normal or abnormal based on image features.
Development of Curriculum in Technology-related Supply Chain Management Programs

Curriculum development in STEM education has become critically needed because it must reflect the educational requirements of a rapidly changing global market. Business and political leaders have stressed the need to improve STEM education and the need to update curricula in response to industry demands appropriately is apparent. This is needed to meet the need for competent and technologically minded skilled human resources. Given the importance of supply chain and technology to industry, along with the apparent lack of research concerning the development of technology-related supply chain management programs, the purpose of this study is to conduct a systematic analysis of the curricula of technology-related supply chain programs through the analysis of undergraduate curriculum offerings. The focus of this research is to identify trends in the supply chain, technology, engineering technology, science, management, and other typical “core” course mixes in technology-related supply chain programs at different universities in the United States. During this investigation of different programs, it was found that changes occurring in the industry and market needs have been reflected in differing programs’ curricula. This research is also intended to develop a better understanding of how technology-related supply chain content is being taught in institutions of higher education and to compare the development of undergraduate programs over time. An interesting outcome of this research is the recognition that technology-related supply chain programs, and in particular the direction of the curriculum, benefit significantly from strong ties to industry.
An In-vivo Pharmacokinetic Evaluation of Chrono Pharmaceutical Drug Delivery System of Carbamazepine for Epilepsy

Chrono therapeutics refers to treatment method in which in-vivo drug availability is designed to match the circadian rhythms of disease to improve therapeutic outcomes and minimize adverse effects. The circadian patterns can influence the pharmacokinetics of certain drugs shown in clinical studies used in the treatment of diseases that follows circadian rhythms. The bioavailability of such drugs is influenced by the time of administration. The objective of the present study is pharmacokinetic evaluation of compression coated carbamazepine tablets and marketed conventional carbamazepine tablets. Carbamazepine is the first line drug of choice in the treatment of epilepsy. The oral bioavailability of carbamazepine is decreased upon repetitive doses due to hepatic auto induction. Hence compression coated carbamazepine tablets were prepared. The prepared dosage forms of compression coated tablets and marketed conventional tablets of carbamazepine were administered to 2 groups of white New Zealand rabbits (n=6) following cross over design pattern. Different pharmacokinetic parameters were assessed from plasma drug concentration time profile by using Kinetica software. The pharmacokinetic software such as Cmax, elimination rate constant, elimination half-life and mean residence time. The plasma drug levels of compression coated tablets of carbamazepine showed an initial lag phase of 3-4 hours before releasing the drug in comparison to marketed conventional carbamazepine tablets. The compression coated tablets showed maximum time for peak plasma concentration (Tmax) at the 7 th hour in comparison to marketed conventional tablets at 3 hours. However, area under the curve, apparent volume of distribution show non-significant differences between Compression coated tablets and conventional marketed tablets of carbamazepine. These findings specified that compression coated tablets were providing timed pulsatile drug release at specific times to match the circadian rhythms which may be helpful for the prevention of episodic seizure attacks of epilepsy occurring during circadian timings of the day. carbamazepine tablets and conventional marketed carbamazepine tablets.
Об асимптотической разделимости линейных сигналов с гармониками методом анализа сингулярного спектра

The general theoretical approach to the asymptotic extraction of the signal series from the additively perturbed signal with the help of singular spectrum analysis (brieﬂy, SSA) was already outlined in Nekrutkin (2010), SII, vol. 3, 297–319. In this paper we consider the example of such an analysis applied to the linear signal and the additive sinusoidal noise. It is proved that in this case the so-called reconstruction errors r i ( N ) of SSA uniformly tend to zero as the series length N tends to inﬁnity. More precisely, we demonstrate that max i | r i ( N ) | = O ( N − 1 ) if N → ∞ and the “window length” L equals ( N + 1) / 2 . It is important to mention, that the completely diﬀerent result is valid for the increasing exponential signal and the same noise. As it is proved in Ivanova, Nekrutkin (2019), SII, vol. 12, 1, 49–59, in this case any ﬁnite number of last terms of the error series does not tend to any ﬁnite or inﬁnite values.
Extended state observer based control for DC motors

In this paper, an extended state observer (ESO) based control is derived for the position control of permanent magnet direct current (PMDC) motor. The implementation of the proposed control law requires only position sensor. The estimation of states and disturbance is achieved by ESO. The closed loop stability of the proposed scheme is derived. The performance of observer-controller is verified in the presence of uncertainties and load disturbance.
ANALYSIS OF DEPRESSION AND POST NATAL DEPRESSION IN WOMEN WITH HYPEREMESIS GRAVIDARUM

: Introduction: Pregnant women with severe nausea and vomiting may have hyperemesis gravidarum (HG), a separate entity from nausea and vomiting of pregnancy (NVP), which if left untreated may lead to increased maternal and fetal morbidity. Aims and objectives: The main objective of the study is to analyse the Incidence of depression and post natal depression in women with hyperemesis gravidarum. Material and methods: This cross sectional study was conducted in Bahawalpur Victoria Hospital during 2018 to 2019. This study was done with the permission of ethical committee of hospital. Data were collected from 100 pregnant female patients. Participants were selected through randomly sampling technique. All the data were collected through a questionnaire. The data was divided into two groups, one was control group and one was selected patients. We compare the selected patients with control group. Results: The data was collected from 100 female patients. The mean maternal age of study and control groups were 28.4±5.5 and 29.4±5.7 years, respectively. Median gestational age of study participants was 11.1±2.1 weeks and 10.9±2.2 weeks for controls. No statistically significant difference was observed between the study and control groups in terms of maternal and gestational age, gravidity, parity, abortus, and occupation, housing, and education levels. Only nine women in the NVP group reported a history of cigarette smoking before pregnancy, which was statistically insignificant between groups. Conclusion: It is concluded that NVP and HG are two of the most common medical conditions of pregnancy, management can be very challenging for the clinician.
BIOSYNTHESIS OF GOLD NANOPARTICLES USING MUKIA SCABRELLA AND ITS ANTIMICROBIAL APPLICATIONS

The present study was performed for the one pot green synthesis of gold nanoparticles (AuNPs) at room-temperature using the leaf extract Mukia scabrella . AuNPs were characterized with different spectroscopy techniques such as UV-visible spectroscopy (UV-vis), Fourier Transform Infra-red spectroscopy (FTIR), and Energy dispersive X-ray (EDAX) spectroscopy SEM analysis presented that synthesized particles were predominantly round in shape with a size range of 30- 50 nm. Zeta potential analysis showed - 32.2 mV characteristic for stable AuNPs. Antimicrobial activity results presented that synthesized AuNPs have potent antimicrobial activity against gram negative bacteria. The results suggested that M.scabrella could be used for the synthesis of gold based nano drug against bacterial pathogens.
Cancerand Angiogenesis in a Murine Model of Lung Depletion of CXCR2 Inhibits Tumor Growth

The Glu-Leu-Arg (cid:1) (ELR (cid:1) ) CXC chemokines are potent promoters of angiogenesis and have been demonstrated to induce a signiﬁcant portion of nonsmall cell lung cancer-derived angiogenic activity and support tumorigenesis. ELR (cid:1) CXC chemokines share a common chemokine receptor, CXCR2. We hypothesized that CXCR2 mediates the proangiogenic effects of ELR (cid:1) CXC chemokines during tumorigenesis. To test this postulate, we used syngeneic murine Lewis lung cancer (LLC; 3LL, H-2 b ) heterotopic and orthotopic tumor model systems in C57BL/6 mice replete (CXCR2 (cid:1) / (cid:1) ) and deﬁcient in CXCR2 (CXCR2 (cid:2) / (cid:2) ). We ﬁrst demonstrated a correlation of the expression of endogenous ELR (cid:1) CXC chemokines with tumor growth and metastatic potential of LLC tumors. Next, we found that LLC primary tumors were signiﬁcantly reduced in growth in CXCR2 (cid:2) / (cid:2) mice. Moreover, we found a marked reduction in the spontaneous metastases of heterotopic tumors to the lungs of CXCR2 (cid:2) / (cid:2) mice. Morphometric analysis of the primary tumors in CXCR2 (cid:2) / (cid:2) mice demonstrated increased necrosis and reduced vascular density. These ﬁndings were further conﬁrmed in CXCR2 (cid:1) / (cid:1) mice using speciﬁc neutralizing Abs to CXCR2. The results of these studies support the notion that CXCR2 were used for Western blot, ELISA, and neutralization assays when titers had reached greater than 1/1,000,000. The anti-CXCR2 Abs have been used previously to block mCXCR2 in vivo, and have been shown to detect CXCR2 by Western blot and ﬂuorescence-activated cell-sorting analysis of neutrophils in vivo (16–18). The anti-CXCR2 Ab has been shown to be neutralizing using both in vitro neutrophil chemotaxis assay and in vivo by abrogating the inﬂux of neutrophils into the peritoneum of normal mice in response to exogenous ELR (cid:1) murine CXC chemokines (16–18). In vivo
Investigation of the Adherence to Prescribed Treatment of the Patients with Coronary Heart Disease

The purpose of the study was to investigate the adherence to secondary prevention medications among patients with coronary heart disease and iden tify factors associated with it. Materials and methods. We examined 40 tients diagnosed heart disease of more than 50 years old, who were with optimal medication for year during Patients` adherence was defined according to Morisky values for secondary medications pre scribed by doctors. Also, questionnaires about indi vidual reasons of non-compliance and for individual patient`s opinion about importance and usefulness of knowledge according to risk factors of the increase of cardiovascular mortality were designed and proposed to the patients. Simple descriptive statistics were used to elucidate the characteristics of the patient popula tion and results from individual adherence tools. Final score was analyzed and correlation between patients’ data and level of adherence to prescribed treatment were identified. A correlation matrix (using Spear man’s coefficient) was reviewed for any evidence of collinearity. of adherence was demonstrated after discharge from the hospital due to subjective improvement of the patients` condition with absence of supervision by out-patient specialists. Demographic characteristics of the patients suggested that some non-modified factors can af fect compliance with the prescribed treatment. Bet ter adherence was demonstrated by female married patients with higher educational level, with family history about cardiovascular death. Also, too much prescribed medications with difficult regime of usage with non-adequate out-patient supervision may sig nificantly decrease adherence causing development of complications which may lead to re-hospitalizations and cardiovascular death. Our investigation demonstrated also non-com plete information of the patients about lifestyle and medical risk factors of the cardiovascular mortality increase. Conclusion. The results of our study can provide useful practical information on the prevalence and se verity of non-adherence among patients with coronary heart disease. Analysis of the factors influencing the adherence demonstrated the main reasons from pa tients and healthcare professionals affecting the lev el of compliance with the prescribed treatment. The step towards improving adherence can be initiated by the healthcare professional to overcome the patient’s concerns about the prescribed medication. It is im portant to continue personal monitoring of patients by healthcare professionals in the form of regular inspec tions of intentional and unintentional non-adherence, including factors and reasons that may change and lead to such behavior.
The Fourth Fundamental Element to Memristor-based Memory

The realization of the missing memristor by Hewlett-Packard in 2008, the memristor, adds a new promising technology that enable the continuous improvement of the performance, speed and cost of integrated circuits. This paper deals different models of memristor having certain advantages and disadvantages. Different applications such as chaotic circuits using memristor, memristor based oscillator, Composite behavior of parallel and series memristor circuit, Memristor to eliminate the improper shutdown of computer with no data loss and the most important memristor based memory which can replace current flash memory has been discussed and its future development is discussed. The memristor based memory has the bright future, because it can store multi-bit like 2-bit or multi-bit storage.
Inulin Effect on Weight Loss and Associated Parameters with the Development of Cardiovascular Disease in Obese Dyslipidemic Subjects

Obesity is one of the most concerning public health problems and it has been associated with the development of cardiovascular diseases (CVD). A healthy diet has demonstrated to improve weight loss and blood lipids but also the inclusion of functional foods could be used. Inulin, a non-digestible carbohydrate, has been shown that can promote weight loss and improve the lipid profile associated with CVD. The aim of the present study was to examine the effect of the addition of inulin to a moderate carbohydrate diet on weight loss and parameters associated with CVD. Sixteen obese dyslipidemic subjects were distributed in a double-blind, crossover trial for 18 weeks with two eight-week treatment periods (9gr of inulin/day or 9gr of dextrose/day as placebo), separated by a two-week washout period. Anthropometric and lipid profile were collected at the beginning and at the end of each treatment. Both treatments significantly improve weight loss and others anthropometric parameters (BMI, body fat and waist and hip circumferences) without statistical difference between them. Inulin significantly increased HDL cholesterol and tend to reduce triglycerides. Non-significant changes were observed on total and LDL cholesterol. In conclusion, we can suggest that the addition to inulin and a moderate carbohydrate diet tend to reduce cardiovascular risk by improving anthropometrics parameters and increasing HDL cholesterol.
Replication Report, Brookhart et al. (2006)

This report describes the replication of “Variable Selection for Propensity Score Models” by Brookhart et al. (Brookhart et al. 2006). The original article provided clear descriptions of the simulation methods, which made it relatively easy to replicate the simulations. In particular when formulas were provided it was straightforward to implement the intended approach. Furthermore, the data-generating mechanism was depicted in a figure, which was helpful in understanding the simulation set up. The main difficulty of the replication was that some of the results were presented as figures, which made it more difficult to compare that results were replicated (i) because it is more difficult to compare than numbers in a table and (ii) because the approach to creating the figure was not fully described (as it is irrelevant to the paper itself). Specific software implementations were not described clearly, but this did not hamper replicability of results. For example, no packages in R were referenced for estimation of the splines or c-statistic (which makes sense given the year of publication). Results of the replication are presented below.
Identifying Successful Determinants of the Michinoeki in Kyushu Island in Japan

— This paper examines determinants of Michinoeki, (a roadside rest station in English), in Japan. With 27 years history, the Michinoeki is a well-known typical successful model for revitalization of regional economy now. To our best knowledge, academic studies about Michinoeki have not been published yet. Gathering data from Kyushu Island, this paper investigates the history, and the current state of Michinoeki. Specifically, the manuscript makes a contribution to the literature by developing a framework of Michinoeki and statistically investigating the relationship between (a) two exogenous variables, viz., sales revenue and number of the purchasers visited, and how they are influenced by 11 determinants that include square meters of land space (SMLS), number of the visited cars (NVC), number of the visited large-size cars and trucks (NVLSCT), square meters of parking area (SMPA), total number of the restroom (TNR), square meters of free rest place (SMFRP), seats of the free rest space (SFRS), weekdays’ traffic near the station (WTNS), holidays’ traffic near the station (HTNS), population of the city located (PCL); total expenses including maintenance cost (TEIMC) have been analyzed using regression analysis. Based on the results of the hypothesis tests, the findings of the study are described and the managerial implications regarding Michinoeki are addressed.
End-to-End Fusion of Hyperspectral and Chlorophyll Fluorescence Imaging to Identify Rice Stresses

Herbicides and heavy metals are hazardous substances of environmental pollution, resulting in plant stress and harming humans and animals. Identification of stress types can help trace stress sources, manage plant growth, and improve stress-resistant breeding. In this research, hyperspectral imaging (HSI) and chlorophyll fluorescence imaging (Chl-FI) were adopted to identify the rice plants under two types of herbicide stresses (butachlor (DCA) and quinclorac (ELK)) and two types of heavy metal stresses (cadmium (Cd) and copper (Cu)). Visible/near-infrared spectra of leaves (L-VIS/NIR) and stems (S-VIS/NIR) extracted from HSI and chlorophyll fluorescence kinetic curves of leaves (L-Chl-FKC) and stems (S-Chl-FKC) extracted from Chl-FI were fused to establish the models to detect the stress of the hazardous substances. Novel end-to-end deep fusion models were proposed for low-level, middle-level, and high-level information fusion to improve identification accuracy. Results showed that the high-level fusion-based convolutional neural network (CNN) models reached the highest detection accuracy (97.7%), outperforming the models using a single data source (<94.7%). Furthermore, the proposed end-to-end deep fusion models required a much simpler training procedure than the conventional two-stage deep learning fusion. This research provided an efficient alternative for plant stress phenotyping, including identifying plant stresses caused by hazardous substances of environmental pollution.
A New Framework of Music Recommendation Using Collaborative Filtering

Recently, recommender systems are widely applied to help user in ﬁnding the items they want. A recommender system should also be able to provide users with useful information about the items that might be interesting to them. The capacity of quickly responding to changes in users preference is a valuable asset for such systems. This paper presents a novel recommender system for music data that introduces collaborative ﬁltering with matrix representation. The aims of proposed system is to recognize users preference and provide suitable suggestion to user. The experimental results conﬁrm that the proposed system is able to make recommendation with satisfying users preference.