Miracle-dz/UniFAR-FTUs huggingface dataset:
Molecular characterization of markers linked to Tomato spotted wilt virus and Tomato mosaic virus resistance loci in tomato

The Tomato spotted wilt virus (TSWV) and Tomato mosaic virus (ToMV) are among the most common viral diseases that negatively affect the tomato crop. The use of tomato genotypes containing virus resistance genes is considered the best method for virus control. In this study, attempts were made to identify the Sw- 5 and Sw-5b as well as Tm-1 and Tm-2 and its allele Tm-2 2 loci known to influence resistance to the TSWV and ToMV, respectively, in 19 tomato genotypes using molecular markers. In this work, 18 tomato genotypes were found to be resistant to the TSWV. These lines have dominant alleles with homozygous or heterozygous Sw5 or Sw5b or both. Also, seven lines were resistant to the ToMV, which have dominant or recessive alleles for Tm-1 or Tm-2 or Tm-2 2 or tm-2 2 , separately or mixed. In general, phenotypic results were highly matched with genotypic data, but gene-based markers displayed clearer results than biological tests; e.g., the presence of dominant and recessive alleles of the resistance gene can be identified readily in tomato genotypes. Therefore, the originality of this work is the discovery of donor parents for developing tomato genotypes resistant to both the TSWV and ToMV in tomato breeding programs or the genetic improvement of Solanum lycopersicum L. lines with pyramided genes for pathogen resistance by marker-assisted selection.
Research on “Irrational Decision-making” of China’s Policy Diffusion from the Perspective of Horizontal Intergovernmental Competition

In recent years, policy innovation has become the focus of competition among local governments at the same level as the country’s key focus in the field of innovation. Under the dual effects of pressure from competition at the same level and pressure from higher-level evaluations, some local governments have encountered "irrational decision-making" problems when coping with policy proliferation. The issue of "irrational decision-making" will hinder the spread of innovative policies, increase policy costs to a certain extent, and affect the actual performance of policies and even the government's governance capabilities. This article analyzes the causes of the "irrational decision-making" of policy proliferation from two levels, and draws three viewpoints and conclusions: first, the combination of horizontal intergovernmental competition and the role of local government "economic man" are important reasons for the "irrational decision-making" problem of policy proliferation; second, the combination of the short term of office of local officials and the pressure of competition at the same level and the pressure of higher-level evaluation is another reason for the promotion of "irrational decision-making" by local governments; third, by adjusting the horizontal intergovernmental competition relationship and alleviating the pressure of the same level and superiors faced by local governments, the possibility of rushing decision-making by local governments can be reduced, thereby improving "decision-making rationality". Proposing countermeasures after analyzing the "irrational decision-making" problem of policy proliferation can reduce corresponding problems and improve China's overall policy performance and governance capabilities, which is of great value.
Design of a DSP-Based Motion-Cueing Algorithm Using the Kinematic Solution for the 6-DoF Motion Platform

A motion-cueing algorithm is a motion simulation system that makes the pilot feel the flight motion by calculating the attitude of the platform. This paper presents the design a kinematics model and two motion-cueing algorithms for a multi-axis motion platform. Firstly, the relationship between each axis is derived from the kinematics theory and motion platform transformation. Next, two motion-cueing algorithms are designed providing the pilot with the bodily sensations of the 6-DoF motion platform. By using a hardware-in-the-loop (HIL) approach simulated in a real-time digital simulator, the control operations are performed in a digital signal processor (DSP). All of the motion-cueing algorithms, including the classical washout algorithm and the optimal control algorithm, are realized through a DSP, TMS-320F-28377D. The simulation results verify the theoretical analysis and illustrate the correctness and practicability of the proposed method.
AMORPHOPHALLUS PAEONIIFOLIUS (ARACEAE): A NUTRACEUTICAL
FOR FOOD DISORDERS, NOVEL BACTERIAL & VIRAL INFECTIONS

Amorphophallus paeoniifolius is a very common tuber plant having diverse secondary metabolites and palatability levels. Keeping the problems of food shortage & novel infectious diseases throughout the world, an attempt has been made through fieldworks during 2009 to 2020 to gather the information on its ethnobotany, bioactive compounds from lab work and pharmacological properties from secondary sources to make it future nutraceutical against food disorders & novel microbial diseases. The tuber is used as food and medicines, it is rich with primary & secondary metabolites and its extracts are used to treat various infectious diseases. The compounds present in the species have potential to make novel drugs against present health problems throughout the world. The present study highlights the importance of wild tuberous plants in mitigation of food shortage, food disorders, anti-microbial resistance, novel bacterial & viral diseases like MDR-TB and COVID-19.
Development of monoblock TM dielectric resonator filters with additive manufacturing

Transverse magnetic (TM) dielectric resonator filters are frequently affected by a poor contact in the interface between metal and ceramic walls, misalignment of the ceramic parts, and cracks due to mechanical stress. To overcome these issues, the present study proposes the development of monoblock filters fabricated by lithography-based ceramic manufacturing. To build these structures with additive manufacturing, some geometrical changes, with respect to the classical assembly, have to be applied. The effect of these changes on the electrical performance of a stand-alone resonator are studied. Then, a filter prototype is manufactured and measured to validate the feasibility of this approach.
Digital Health Solutions and State of Interoperability: Landscape Analysis of Sierra Leone

Background The government and partners have invested heavily in the health information system (HIS) for service delivery, surveillance, reporting, and monitoring. Sierra Leone’s government launched its first digital health strategy in 2018. In 2019, a broader national innovation and digital strategy was launched. The health pillar direction will use big data and artificial intelligence (AI) to improve health care in general and maternal and child health in particular. Understanding the number, distribution, and interoperability of digital health solutions is crucial for successful implementation strategies. Objective This paper presents the state of digital health solutions in Sierra Leone and how these solutions currently interoperate. This study further presents opportunities for big data and AI applications. Methods All the district health management teams, all digital health implementing organizations, and a stratified sample of 72 (out of 1284) health facilities were purposefully selected from all health districts and surveyed. Results The National Health Management Information System’s (NHMIS’s) aggregate reporting solution populated by health facility forms HF1 to HF9 was, by far, the most used tool. A health facility–based weekly aggregate electronic integrated disease surveillance and response solution was also widely used. Half of the health facilities had more than 2 digital health solutions in use. The different digital health software solutions do not share data among one another, though aggregate reporting data were sent as necessary. None of the respondents use any of the health care registries for patient, provider, health facility, or terminology identification. Conclusions Many digital health solutions are currently used at health facilities in Sierra Leone. The government can leverage current investment in HIS from surveillance and reporting for using big data and AI for care. The vision of using big data for health care is achievable if stakeholders prioritize individualized and longitudinal patient data exchange using agreed use cases from national strategies. This study has shown evidence of distribution, types, and scale of digital health solutions in health facilities and opportunities for leveraging big data to fill critical gaps necessary to achieve the national digital health vision.
Human Sperm Cryopreservation- A Review

Cryopreservation (CP) was first introduced sometime in the 1960s and since then process of CP of human sperm has been one of the effective procedures with respect to male fertility used in variety of cases prior to treatment for preserving donor and participant sperm cells prior to reproduction therapies like ART (Assisted Reproductive Therapy/Technology). CP of sperm is a common procedure for the people who are in condition like infertility due to ejaculation issues, infections, undescended testicles, hormonal imbalance etc., Several literatures are there on whether CP impacts sperm chromosomal integrity or the usage of a specific and unique freezing-thawing strategy. The purpose of this article is to discuss and bring to focus the effects of freezing and thawing on human spermatozoa and the changes in Acrosome integrity, mitochondria, DNA integrity, and plasma membrane integrity. In this age of technological advancements, after being used to treat infertility, CP acquired popularity in human medicine. It improves the effectiveness of assisted reproductive treatments by allowing all retrieved and/or fertilised cells to be saved for later use. Couples who conceive during their first treatment cycle can donate their unused frozen embryos to research under the CP programme. It enables people who are losing their fertility to maintain their reproductive cells and, in the future, conceive via assisted methods. It can be used by women who want to postpone childbirth or have a family history of early menopause. Similarly, the varied usage in critical applications makes CP the need of the hour.
Bioactive amines in ingredients and feeds of broilers and storage effects on their levels

To quantify amines in ingredients and in different types of feed and to verify spermine inclusion influence in polyamine levels at storage of experimental diets of broiler, ingredients to formulate diets and commercial starting and growth feeds and were purchased. Spermidine, spermine, putrescine, cadaverine, agmatine, tyramine and histamine were detected by ion pair high performance liquid chromatography in ingredients, commercial diets, control and 0.06 and 012% spermine included formulations. Bioactive amines levels were analysed weekly to initial and growth diets, respectively until 21st and 49th days of storage at 26 ± 3°C and 72% relative humidity. All amines were detected in commercial feed. Spermidine and spermine predominate in soybean, wheat and corn, and tyramine in meat and bone meal. To initial diets averages of cadaverine reduced significantly in day 21, except for 0.06% spermine inclusion; agmatine decreased (p<0.05) in times, except for 0.12% spermine inclusion; spermidine were smaller (p<0.05) at 14 and 21 days and increased significantly with the level of inclusion. In growth diets cadaverine oscillated (p<0.05) between 0.35 at 28 days in control and 1.15 mg.100g-1 in 0.06% spermine inclusion at 49 days. Agmatine were 0.36 to 0.91 mg.100g-1 in control; spermidine vary significantly at 7 days in control and in 0.12% spermine inclusion at 28 days; spermine vary from 1.33 at 42 days to control to 72.55 mg.100g-1 at 7 days in 0.12% spermine inclusion. Polyamine levels were low in ingredients, commercial feed and initial and growth experimental formulations even when stored for 21 or 49 days.
GRAMATIKA GRAFIKE ZA VIZUALIZACIJU PODATAKA I NJENE IMPLEMENTACIJE

Grafički prikaz podataka ima značajnu ulogu u njihovoj analizi. U ovom radu su opisani osnovni koncepti gramatike grafike koja se uspešno koristi za vizualizaciju podataka. Predstavljene su komponente slojevite gramatike, slojevi i odgovarajuća preslikavanja podataka. Na primeru, implementiranom u programskuom jeziku Python, demonstrirana je efektivna realizacija vizualizacije nad višedimenzionalnim podacima.
Computational Biomechanical Modeling of the Human Knee During Kneeling

Total knee replacement benefits patients who suffer from severe knee pain or joint stiffness and other joint related illnesses that limit everyday activities. There has been an increase in the number of procedures performed each year and a need to evaluate the performance of these implants during specialized activities such as kneeling. Most computational studies lack insight into inter-patient variability and the results do not apply to large population. This study developed: (1) three-dimensional explicit finite element (FE) models to investigate natural and implanted knee joint kinematics and bone strain and (2) a platform to enable population-based evaluation by combining statistical model and joint function. Verification of a finite element model confirmed a strong agreement between model predicted and in-vitro kinematics of specimen-specific patellofemoral (PF) joints of four cadaveric knees in simulated kneeling. Three different commonly used PF implants were employed in an additional broader patellar bone strain study to assess the relative performance of these implants during highly demanding activities. This study predicted that the medialized dome design achieves the optimal balance of sufficient congruency between PF articular surfaces while still facilitating sagittal plane tilt to reduce isolated loading of the distal nose of the patella. A combined statistical shape model and FE method were utilized to successfully identify the most
Role of Oxidative Stress on Malarial Anaemia: Significance of Oxidative Stress Index in Patients with Malarial Infection

Introduction: An alteration of oxidant and antioxidant levels is thought to be involved in the pathogenesis of malaria. Limited data is found on association between oxidant and antioxidant status and significance of oxidative stress index in patients with malarial infection and anaemia in south Indian population. Aim: To measure the levels of oxidants and antioxidants and oxidative stress index in patients with malaria and their association with anaemia. Materials and Methods: The present case-control study was conducted in Department of Biochemistry, Osmania General Hospital, Hyderabad, India. A total of 50 subjects of malaria aged 20-45 years were included as cases based on inclusion criteria and exclusion criteria. Control group comprised of 50 healthy age and gender matched subjects. Haemoglobin (Hb), serum Malondialdehyde (MDA), Superoxide Dismutase (SOD), Total Antioxidant Capacity (TAC) was estimated in both the groups by standard methods using Ultraviolet Spectrophotometer. Independent sample t-test was used to test for the difference in all biochemical parameters among study and control groups. The study of orrelation among the parameters was done by Pearson’s correlation. Results: Both the groups were age and gender matched (p=0.39). MDA was significantly elevated in cases as compared to controls (p<0.0001). SOD, Ferric Reducing Ability of Plasma (FRAP), Hb were significantly lower in cases as compared to controls with p-value <0.0001. In the present study, it was found that there was a significant negative correlation between Hb and oxidative stress index (MDA/FRAP=-0.480) with p-value=0.0001 in patients with malaria. Conclusion: The present study concluded that oxidative stress might be a cause of malarial anaemia. Alterations in oxidant and antioxidant levels might have a role in pathogenesis of malaria. As compared to individual markers, oxidative stress index was found to be significantly associated with malarial anaemia denoting its role as a better marker in these patients. Antimalarial therapy targeting the above factors might decrease the pathogenesis, morbidity and mortality in patients with malaria.
Observations from Three Years of Implementing an Inverted (Flipped) Classroom Approach in Structural Design Courses

An inverted (flipped) classroom approach has been used by the authors for the previous three years in a required upper-level undergraduate course in Structural Design (Structural Steel/Reinforced Concrete) at Villanova University. Previously, the course had been taught in a classical manner, with about two-thirds of a typical class meeting period devoted to a lecture and the remainder devoted to solving quick problems using a PowerPoint format. In the inverted format, students are required to watch the lectures emphasizing theory outside of the classroom and nearly all of the in-class time is spent solving problems in a real-time manner using a TabletPC. This paper reviews the motivation behind the decision to switch to the inverted format and explains the intended beneficial impacts on student learning. Details on the structure and relationship of individual course components in the inverted model (recorded lecture videos, concept quizzes, problem sets, laboratory exercises, and design projects) are presented. Impacts on faculty planning and preparation are discussed. A review of the changes made between each successive course offering based on lessons learned is also provided. In addition to the authors’ (faculty) perspective, the students’ perspective is also addressed based on the results of extensive end-of-the-semester surveys asking students for feedback on the inverted model. Student responses to numerous multiple choice “rating” questions about course format and course components are provided. Student performance is also addressed through a broad comparison of examination grades in the different course offerings.
Interpretable Machine Learning Algorithms to Predict the Axial Capacity of FRP-Reinforced Concrete Columns

Fiber-reinforced polymer (FRP) rebars are increasingly being used as an alternative to steel rebars in reinforced concrete (RC) members due to their excellent corrosion resistance capability and enhanced mechanical properties. Extensive research works have been performed in the last two decades to develop predictive models, codes, and guidelines to estimate the axial load-carrying capacity of FRP-RC columns. This study utilizes the power of artificial intelligence and develops an alternative approach to predict the axial capacity of FRP-RC columns more accurately using data-driven machine learning (ML) algorithms. A database of 117 tests of axially loaded FRP-RC columns is collected from the literature. The geometric and material properties, column shape and slenderness ratio, reinforcement details, and FRP types are used as the input variables, while the load-carrying capacity is used as the output response to develop the ML models. Furthermore, the input-output relationship of the ML model is explained through feature importance analysis and the SHapely Additive exPlanations (SHAP) approach. Eight ML models, namely, Kernel Ridge Regression, Lasso Regression, Support Vector Machine, Gradient Boosting Machine, Adaptive Boosting, Random Forest, Categorical Gradient Boosting, and Extreme Gradient Boosting, are used in this study for capacity prediction, and their relative performances are compared to identify the best-performing ML model. Finally, predictive equations are proposed using the harmony search optimization and the model interpretations obtained through the SHAP algorithm.
Detecting Like minded Communities with Common Interests on Twitter

The popularity and prevalence of online social networks (OSN) have made them eﬃcient platforms for advertising and marketing campaigns. One important problem in target advertising and viral marketing on OSNs is the eﬃcient identiﬁ-cation of communities with common interests. Most current approaches use only topological links to ﬁrst detect all communities, and then determine the interests of these communities. These approaches are both computationally intensive and may result in communities without a common interest. As topological links do not translate to actual user interactions, many of these detected communities may include members who rarely communicate with each other. This problem aﬀects the application of targeted advertising and viral marketing to OSNs, since such campaigns require communities to be highly connected and interactive for the rapid diﬀusion of product/service information. We propose approaches to detect highly interactive and connected communities that share common interests on Twitter. Our approaches utilize Wikipedia to ﬁrst identify and classify popular celebrities into various interest categories, before detecting communities based on linkages and communication patterns among followers of these celebrities. We also study the topological characteristics and interaction behaviour of these communities, showing them to be cohesive, connected and highly interactive about their common interests.
Advances in Organic and Perovskite Photovoltaics Enabling a Greener Internet of Things

Organic and perovskite solar cells (PSCs) have made significant strides in the last couple of years achieving high power conversion efficiencies (18% and 29%, respectively) and exceptional stability. Ultra‐flexible and environmentally stable organic and PSCs can effectively operate under various illumination settings. Herein, novel device concepts that comprise photovoltaic cells alone or in tandem with batteries or supercapacitors, acting as the main power supply to another microelectronic component, enabling self‐powered electronics for the Internet of Things (IoT) are reviewed. Emphasis is placed on the specific requirements posed by such applications to pave the way to large scale commercialization. The importance of supporting a greener IoT ecosystem by eliminating toxic materials and solvents in the device fabrication process is highlighted.
Reliabilitas Microsoft Kinect Untuk Pengukuran Sudut Joint Sendi Bahu Pada Posisi Frontal Dan Sagittal Plane

Rehabilitasi mandiri dengan konsep virtual memiliki beberapa kelebihan sebagai pelengkap rehabilitasi yang dilakukan di fasilitas kesehatan seperti Rumah Sakit. Dengan rehabilitasi mandiri dengan konsep virtual memungkinkan terapi latihan yang adaptif sesuai dengan kondisi perkembangan penderita, dapat dilakukan monitoring secara terus-menerus, meningkatkan kepatuhan penderita terhadap latihan yang dijalankan melalui konsep rehabilitasi yang menyenangkan, dan menyediakan umpan balik secara real-time terhadap perkembangan rehabilitasi. Microsoft Kinect merupakan salah satu media motion capture 3D berbiaya murah yang dapat digunakan untuk mengembangkan rehabilitasi mandiri virtual untuk penderita frozen shoulder yang mengalami masalah kekakuan otot pada sendi bahu. Dalam penelitian ini dilakukan pengujian reliabilitas Microsoft Kinect untuk pengukuran sudut sendi bahu bagian atas ( upper extremity ) pada rehabilitasi frozen shoulder. Dari hasil penelitian terhadap pengukuran sudut joint dari delapan pose sendi bahu pada arah frontal dan sagittal plane didapatkan bahwa reliabilitas Microsoft Kinect bernilai baik jika dilihat dari perbedaan