Miracle-dz/UniFAR-FTUs huggingface dataset:
A Multi-Omics Approach to Evaluate the Toxicity Mechanisms Associated with Silver Nanoparticles Exposure

Silver nanoparticles (AgNPs) are currently used in many different industrial, commercial and health fields, mainly due to their antibacterial properties. Due to this widespread use, humans and the environment are increasingly exposed to these types of nanoparticles, which is the reason why the evaluation of the potential toxicity associated with AgNPs is of great importance. Although some of the toxic effects induced by AgNPs have already been shown, the elucidation of more complete mechanisms is yet to be achieved. In this sense, and since the integration of metabolomics and transcriptomics approaches constitutes a very useful strategy, in the present study targeted and untargeted metabolomics and DNA microarrays assays have been combined to evaluate the molecular mechanisms involved in the toxicity induced by 10 nm AgNPs. The results have shown that AgNPs induce the synthesis of glutathione as a cellular defense mechanism to face the oxidative environment, while inducing the depletion of relevant molecules implicated in the synthesis of important antioxidants. In addition, it has been observed that AgNPs completely impair the intracellular energetic metabolism, especially affecting the production of adenosine triphosphate (ATP) and disrupting the tricarboxylic acids cycle. It has been demonstrated that AgNPs exposure also affects the glycolysis pathway. The effect on such pathway differs depending on the step of the cycle, which a significant increase in the levels of glucose as way to counterbalance the depleted levels of ATP.
Insecticidal Activity of Organic Extracts of Solidago graminifolia and Its Main Metabolites (Quercetin and Chlorogenic Acid) against Spodoptera frugiperda: An In Vitro and In Silico Approach

Spodoptera frugiperda (S. frugiperda) remains a global primary pest of maize. Therefore, new options to combat this pest are necessary. In this study, the insecticidal activity of three crude foliar extracts (ethanol, dichloromethane, and hexane) and their main secondary metabolites (quercetin and chlorogenic acid) of the species Solidago graminifolia (S. graminifolia) by ingestion bioassays against S. frugiperda larvae was analyzed. Additionally, the extracts were phytochemically elucidated by ultra-performance liquid chromatography-mass spectrometry (UPLC-MS) analysis. Finally, an in silico study of the potential interaction of quercetin on S. frugiperda acetylcholinesterase was performed. Organic extracts were obtained in the range from 5 to 33%. The ethanolic extract caused higher mortality (81%) with a half-maximal lethal concentration (LC50) of 0.496 mg/mL. Flavonoid secondary metabolites such as hyperoside, quercetin, isoquercetin, kaempferol, and avicularin and some phenolic acids such as chlorogenic acid, solidagoic acid, gallic acid, hexoside, and rosmarinic acid were identified. In particular, quercetin had an LC50 of 0.157 mg/mL, and chlorogenic acid did not have insecticidal activity but showed an antagonistic effect on quercetin. The molecular docking analysis of quercetin on the active site of S. frugiperda acetylcholinesterase showed a −5.4 kcal/mol binding energy value, lower than acetylcholine and chlorpyrifos (−4.45 and −4.46 kcal/mol, respectively). Additionally, the interactions profile showed that quercetin had π–π interactions with amino acids W198, Y235, and H553 on the active site.
Effectiveness of Nifedipine in Preterm Labour Suppression

Objective: To understand the safety and effectiveness of nifedipine as a tocolytic agent in preterm labor. Study Design: A Quasi-experimental study. Place and Duration: The study was held in the Obstetrics and Gynecology Department of Riphah International Hospital Rawalpindi for one-year duration from January 2021 to December 2021. Methodology: 90 singleton pregnancies with cervical dilatation less than 3 cm and intact membranes with preterm labour occurred between 28-34 weeks of pregnancy were included and nifedipine was given as a tocolytic agent. Results: This study was performed on 90 patients, 55(61.1%) of whom were primigravida and 35(38.9%) were multiparty. 27.1 + 5.2 years was the mean age of patients (range 20 to 45 years), 74.4% were unbooked patients compared to 25.6% were booked patients. The tocolysis was obtained successfully in 76.7% of patients. The number of days obtained in delayed delivery was analyzed (Table 1B). Overall achievement in postponing delivery over 2 and 3 days is 76.7% (69/90). 21 patients (23.3%) were considered treatment failures. Of the patients who failed treatment (21/90), 18 patients gave birth in one day and 3 patients in two-days. The mean delay in delivery <2 days was 1.0 + 0.3 days, while the delay >2 days was 4.31 + 9.0, which is statistically important at> p 0.008. The mean heart rate prior to treatment was 83.0 + 5.0, afterwards to treatment with nifedipine it was 92.0 + 5.0, indicating a difference of 9 bpm: statistically insignificant in heart rate. Conclusion: Nifedipine was effective in suppressing preterm delivery and delaying delivery long enough to achieve therapeutic effect and transfer the mother to the 3rd degree care unit. Keywords: Tocolysis, Premature labour, Nifedipine (calcium channel blocker).
Anthropometry indicators that are most related to metabolic profiles in female
college students

Metabolic syndrome is not a disease but is a set of several disorders and causes an increased risk of cardiovascular disease and diabetes mellitus complications. Several studies have shown that non-invasive approaches such as anthropometric measurements can be used for the early detection of metabolic syndrome. This study aimed to analyse the anthropometric indicators related to metabolic syndrome in female college students. The design of this research was cross sectional, with the number of subjects involved were as many as 163 female college students aged 19 to 24 years old. Purposive sampling was used in the sampling of this research. The independent variables in this study were the Waist-to-Height Ratio (WHtR), Waist-Hip Ratio (WHR), Body Mass Index (BMI), Sagittal Abdominal Diameter (SAD), and hip circumference. The dependent variable in this study is the metabolic syndrome component that has been converted into a metabolic syndrome score (cMetS). The analysis results showed that all anthropometric indicators, namely WHtR, BMI, SAD, waist circumference, hip circumference and WHR have a strong positive relationship with the metabolic syndrome score (p<0.001). BMI was the anthropometric indicator that is most associated with the metabolic profiles, such as systolic blood pressure (p<0.001), blood sugar (p<0.05), and HDL (p<0.001). Waist circumference was the anthropometric indicator that is most associated with triglycerides and metabolic syndrome score (p<0.001). Metabolic syndrome in female college students can be identified using anthropometric measurements, one of which is BMI and WHR which are very easy to measure and efficient. BMI and WHR have the strongest relationship and can be used to detect early risk of metabolic syndrome in female college students.
Internationalisation of medical education in China: A 10-year overview of students’ outward mobility

ABSTRACT Internationalisation of medical education is critical under globalisation. Using micro-data from a medical university, this study launches a longitudinal quantitative study on students’ outward mobility to identify the international level of medical education in China. The number of student participation in cross-border programmes is the index to the character of mobility. Descriptive statistics was applied using Microsoft Excel. The results showed a rising tendency of medical students’ outward mobility however a low level. Undergraduates were more likely to participate in outward activities than graduate students. They demonstrated greater interest in short-term programmes than long-term course studies and research programmes. Compared with the US and the UK, traditional destinations like Australia and other European countries were not as popular. Developed countries and regions in Asia were emerging destinations, while developing countries were ignored. University played a central role in financing students’ outward mobility.
Epidemiology of sleeping disorders among doctors during COVID-19 pandemic in Pakistan

Introduction: Novel coronavirus disease or COVID-19, an acute respiratory illness caused by a newly discovered SARS-CoV-2 virus emerged in December 2019. Objectives: The main objective of the study is to find the epidemiology of sleeping disorders among doctors during COVID-19 pandemic in Pakistan. Material and methods: This cross sectional study was conducted in Sir Ganga Ram Hospital Lahore during June 2021 to December 2021. A questionnaire was used to collect the data. Among the topics covered in the survey were questions regarding the quality of one's night's sleep, where one keeps infection control supplies, how one copes with stress and depression, how one learns about COVID-19 on the internet, how one views risk, and other personal information. The survey was completed over the internet. Results: The data was collected from 200 patients. Over half (55.0 percent) were married and under the age of 35. (49.1%). The majority of respondents (57.8%) spend more than two hours a day on social media. The great majority of them came from the upper echelons of the workforce. There were 38.3%, 29.8%, and 29.1%, respectively, of those who reported a worse sleep quality following the onset of COVID-19, according to their weighted proportions. Conclusion: It is concluded that COVID-19 is widely spreading in Pakistani doctors. Mental health disorders and poor sleep quality are more widespread in the medical field because of the heightened danger of exposure during pandemic illnesses. Keywords: Epidemiology, COVID-19 Disorder, Patients
β-Sitosterol Glucoside-Loaded Nanosystem Ameliorates Insulin Resistance and Oxidative Stress in Streptozotocin-Induced Diabetic Rats

β-Sitosterol glucoside (SG), isolated from Senecio petasitis (Family Asteraceae), was loaded in self-nanoemulsifying drug delivery systems (SEDDS) in a trial to enhance its solubility and biological effect. Various co-surfactants were tested to prepare a successful SEDDS. The selected SG-loaded SEDDS had a droplet size of 134 ± 15.2 nm with a homogenous distribution (polydispersity index 0.296 ± 0.02). It also demonstrated a significant augmentation of SG in vitro release by 4-fold compared to the free drug suspension. The in vivo insulin sensitivity and antidiabetic effect of the prepared SG-loaded SEDDS were further assessed in streptozotocin-induced hyperglycemic rats. The hypoglycemic effect of SG-loaded nanosystem was evidenced by decreased serum glucose and insulin by 63.22% and 53.11%, respectively. Homeostasis model assessment-insulin resistance (HOMA-IR) index demonstrated a significant reduction by 5.4-fold in the diabetic group treated by SG-loaded nanosystem and exhibited reduced glucagon level by 40.85%. In addition, treatment with SG-loaded nanosystem significantly decreased serum MDA (malondialdehyde) and increased catalase levels by 38.31% and 64.45%, respectively. Histopathological investigations also supported the protective effect of SG-loaded nanosystem on the pancreas. The promising ability of SG-loaded nanosystem to ameliorate insulin resistance, protect against oxidative stress, and restore pancreatic β-cell secretory function warrants its inclusion in further studies during diabetes progression.
Tangible Beats: a collaborative user interface for creating musical beats

Tangible User Interfaces (TUIs) allow interaction with digital content through physical artifacts, enabling a smooth bridge between the digital and the physical worlds. In an entertainment context, such interfaces offer rich expressive capabilities for experimental works. This paper introduces Tangible Beats: a user interface that, in a collaborative fashion, enables the creation of musical beats by manipulating colored tokens on a flat surface. A prototype implementation, composed of a Kinect camera, a video projector, speakers and a laptop is presented. The Kinect is used to estimate the position of the tokens and the projector provides visual feedback to help inexpert music makers compose their own beats by changing the notes and the instruments.
IMU-baserad skattning av verktygets position och orientering hos industrirobot

Industrial robots have a well established part within modern automation and production.The uses for robots are many and include e.g. repetitive tasks, painting, spot welding and material handling.One problem in robotics is to sufficiently well estimate the position and orientation for the end effector of the robot. This thesis aims to present estimationmethods based on data from an Inertial Measurement Unit (IMU) mounted onthe end effector of the robot.An IMU is a combination unit typically containing accelerometers and gyroscopes.The unit measures acceleration and rotational speed based on the inertia of bodies.The thesis presents three methods for position and orientation estimation. One based exclusively on IMU data, dead reckoning, and two filters based on IMUdata in combination with robot kinematics and motor angles, extended Kalmanfilter (EKF) and complementary filter (CF). Results for the estimation methods are shown based on experimental data froma high-performance IMU and a industrial robot with six degrees of freedom.
Application of chromatic confocal displacement sensor in measurement of tip clearance

In the field of aeronautics, the tip clearance of rotor exerts a crucial influence on the performance of the aero engine. As defined as the radial distance between the top of the blade and the inner wall of the casing, the tip clearance of too large or small size will adversely affect the normal running of the engine. In order to realize accurate measurement of the tip clearance in a simple way, a non-contact measuring method by the chromatic confocal displacement sensor is proposed in the paper. The sensor possesses the advantages such as small volume, good signal-to-noise ratio, high accuracy and response frequency etc., which make it be widely used in engineering and industry. For testing the performance and potential application of the sensor, a simulation testing platform is established. In the platform, a simulation blisk is installed on the air bearing spindle and a chromatic confocal displacement sensor is fixed on the platform to measure the displacement variation of the blade tip, which can be used to characterize the variation of the tip clearance. In the simulation experiments, both of single and continuous measurement of the tip clearance of the 36 blades on the blisk is executed. As the results of experiments show, the chromatic confocal displacement sensor can meet the requirements of measuring task, in which both of high measuring efficiency and accuracy could be achieved. Therefore, the measuring method proposed in the paper can be utilized in the actual assembling sites of the aero engine.
Terahertz quantum cascade laser application in local oscillator development

Terahertz (THz) quantum cascade lasers (QCLs) are high-quality THz sources in terms of power (>1W) and compact size, and the application of THz QCLs has been widely investigated. Spectroscopy is one of the most widespread application for THz QCLs. The project presented in this thesis is an application of THz quantum cascade laser. The project is focused on development of a local oscillator (LO system) aimed to be used in Earth observation. A single mode THz QCL which produces continuous-wave signals is designed, fabricated and characterized. In order to improve the performance of the LO (THz QCL), it is integrated within a waveguide block, which is more mechanically robust than a normal packed QCL and a significant improvement in beam profile was obtained by the integration with little change in the electrical and thermal performance. Next, the detector (Schottky diode detector) use in the application was investigated in terms of heterodyne detection and detection calibration. The heterodyne signal from the Schottky diode detector was used to study a Fabry–Perot (FP) QCL, whose neighbouring FP modes are coupled into the Schottky diode detector. The investigation gives a QCL emission linewidth and thermal equilibrium speed of the THz QCL. QCLs are used to calibrate a new Schottky diode detector designed by Rutherford Appleton Laboratory (RAL), which gives a 3.67 THz room temperature cut-off frequency. Lastly, spectroscopy with the THz QCL is carried out. A single mode CW lasing QCL and a photomixer are used in this application. The system gives a clear demonstration of methanol spectroscopy. Different partial pressure and absolute pressure of methanol are investigated. The measured result is backed by the simulation result from a JPL database. The measured result also proves the possibility of obtaining absorption linewidth broadening by increase methanol pressure. The noise level of the system is also investigated, which gives a detection limitation of 6.0×〖10〗^18 molecules in the 73 cm long gas cell that can be detected for the system.
Guidelines for Hoshin Kanri implementation: development and discussion

Abstract: Hoshin Kanri is a strategic management framework originally conceived in Japan and recognised for developing a deployment process that integrates business strategy and operations execution. Recently, there has been a resurgence of interest regarding Hoshin Kanri implementation among western managers, who usually face cultural challenges towards its use. This leads to the necessity of systematising a set of universally applicable guiding principles or guidelines, for Hoshin Kanri initiatives. This paper presents the results of an in-depth assessment of Hoshin Kanri guidelines carried out through a systematic process of experts? interviews. It uses as its starting point a model of the guidelines that was previously developed through a systematic literature review. The revising and refining of the guidelines is carried out by discussing their conceptual foundations and 20 guidelines are presented that may aid in the implementation of Hoshin Kanri in dfferent types of organisations.
3D-Careers-Outreach Programmes for Children: Lessons for Perceptions of Engineering and

 Abstract — The training and education of under- and post-graduate students can be promoted by more active learning especially in engineering, overcoming more passive and vicarious experiences and approaches in their documented effectiveness. However, the possibility of outreach to young pupils and school-children in primary and secondary schools is a lesser explored area in terms of Education and Public Engagement (EPE) efforts – as relates to feedback and influence on shaping 3rd-level engineering training and education. Therefore, the outreach and school-visit agenda constitutes an interesting avenue to observe how active learning, careers stimulus and EPE efforts for young children and teenagers can teach the university sector, to improve future engineering-teaching standards and enhance both quality and capabilities of practice. This intervention involved careers-outreach efforts to lead to statistical determinations of motivations towards engineering, manufacturing and training. The aim was to gauge to what extent this intervention would lead to an increased careers awareness in engineering, using the method of the schools-visits programme as the means for so doing. It was found that this led to an increase in engagement by school pupils with engineering as a career option and a greater awareness of the importance of
Battery electric vehicle energy consumption modelling, testing and prediction : a practical case study

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PRBM_A_321277 1041..1052

1International School of Doctoral Studies, University of Seville, Seville, 41013, Spain; 2Department of Personality, Assessment, and Psychological Treatment, University of Seville, Seville, 41018, Spain; 3Department of Experimental Psychology, University of Seville, Seville, Spain Purpose: This article describes a cross-cultural adaptation of the Highly Sensitive Person Scale (HSPS) to the adult Spanish population, and psychometric analysis of its validation and reliability. Methods: Convenience sampling by participant accessibility was used. The original version was adapted culturally and linguistically using the back-translation method, and a pilot study was done with 88 participants. Data processing and analysis was performed with the SPSS v.25 and LISREL v.9. 2 statistical packages. The psychometric properties were studied in a sample of 8358 participants using exploratory factor analysis and confirmatory factor analysis, and examining factorial invariance and internal consistency. Results: The results confirmed a Spanish version with 27 items in five-dimensions: sensitivity to overstimulation (SOS), aesthetic sensitivity (AES), low sensory threshold (LST), fine psychophysiological discrimination (FPD) and harm avoidance (HA). Invariance across gender of this factor structure was demonstrated and reliability indices were good. Conclusion: These findings demonstrate that the HSPS is an appropriate tool for evaluating high sensitivity in the adult Spanish population.
obtained through immobilization of cells and protoplasts

V A BAPAT, A T SIPAHIMALANI*, P S RAO and M R HEBLE Plant Biotechnology Section and *Bio-Organic Division, Bhabha Alomic Research Centre, Trombay, Bombay g(~ 085. India MS received 11 October 1989; revised 13 August 1990 A~trar Cells and protoplasts of Catharanthus roseu~ were immobilized with sodium alginate, agar and agarose. Cells proliferating from the matrix were established separately in liquid suspension and 5 cell lines were isolated which showed differences in their growth and alkaloid synthetic pattern. Cell lines obtained thtough immobilization of protoplasts yielded higher levels of alkaloids.
Three-Dimensional Characterization on Edge AI Processors with Object Detection Workloads

Nowadays, GPGPU is the most popular platform for Deep Learning training in data centers. However, due to its high cost and high power consumption, GPU may not be the best choice for many Deep Learning inference applications. As a consequence, a lot of effort has been spent on designing edge-side artificial intelligence (AI) processors recently. We propose a three-dimensional characterization approach on three different kinds of edge AI processors (i.e., Edge TPU, NVIDIA Xavier, and NovuTensor) with object detection workloads (i.e., Tiny-YOLO and YOLOv2 with Microsoft COCO dataset). We also compare these processors with a GPU platform (i.e., GTX 1080 Ti) from the three dimensions of accuracy, latency, and energy efficiency. Through our evaluations, we find that edge AI processors typically have better energy efficiency, while some edge AI processors, such as NovuTensor and Xavier, can also provide comparable performance in latency as GPU. Also, all these edge AI processors can achieve similar accuracy as GPU.