Miracle-dz/UniFAR-FTUs huggingface dataset:
Poly (I:C)-induced maternal immune activation affects mouse visual discrimination performance and reversal learning in a sex-dependent manner.

While there is a strong focus on the negative consequences of maternal immune activation (MIA) on the developing brain, very little attention is directed towards potential advantages of early life challenges. In this study we utilized a polyinosine-polycytidylic acid (poly(I:C)) MIA model to test visual discrimination (VD) and reversal learning (RL) in mice using touchscreen technology. Significant sex differences emerged in that MIA improved the latency for males to make a correct choice in the VD task while females reached criterion sooner, made fewer errors and utilized fewer correction trials in RL compared to saline-treated controls. These surprising improvements were accompanied by the sex-specific upregulation of several neural markers critical to cognitive functioning (e.g., Gabrg2, Grin1, Grin2b, Htr2a, Chrm1, Prkca, and Camk2a mRNA in prefrontal cortex (PFC)), indicative of compensatory plasticity in response to the MIA challenge. In contrast, when exposed to a “two-hit” stress model (MIA combined with loss of the social component of environmental enrichment (EE)), mice showed no evidence of anhedonia but required an increased number of PD and RL correction trials. These animals also had significant reductions of CamK2a mRNA in the PFC. Appropriate functioning of synaptic plasticity, via mediators such as this protein kinase and others, are critical for behavioral flexibility. Although EE has been implicated in delaying the appearance of symptoms associated with certain brain disorders, these findings are in line with evidence that it also makes individuals more vulnerable to its loss. Overall, with the right “dose”, early life stress exposure can confer at least some functional advantages, which are lost when the number or magnitude of these exposures become too great. We housing. Gene expression was normalized in relation to 18S and presented as mean expression relative to same sex SD-saline treated controls.
A Corpus of Grand National Assembly of Turkish Parliament’s Transcripts

In parliaments throughout the world, decisions that are taken directly or indirectly lead to events that affect the society. Eventually, these decisions affect other societies, countries and the world. Thus, transcriptions of these are important to people who want to understand the world, namely historians, political scientists and social scientists in general. Compiling these transcripts as a corpus and providing a convenient way to query the contents is also important from the point of linguists and NLP researchers. Currently, many parliaments provide these transcriptions as free text in PDF or HTML form. However, it is not easy to obtain these documents and search the interested subject. In this paper, we describe our efforts for compiling the transcripts of Grand National Assembly of Turkish Parliament (TBMM) meetings which span nearly a century between 1920 and 2015. We have processed the documents provided by the parliament to the public and transformed them into a single collection of text in universal character coding. We also offer an easy to use interface for researchers to launch custom queries on the corpus on their own. To demonstrate the potential of the corpus, we present several analyses that give quick insights into some of the linguistic changes in Turkish and in Turkish daily life over the years.
Sedentary and Fleeting Activities and Their Spatial Correlates in Offices

and fleeting activities and their spatial correlates in offices” Abstract In this study of the relationships between knowledge worker activities and office design, two sets of activities - generically termed as fleeting and sedentary activities - are considered. Fleeting activities include walking (or movement), face-to-face interactions, and visible copresence (i.e., the number of people seen from a space or position). Sedentary activities include meeting, working on computer, talking on telephone, talking, writing, reading, paper handling, and pausing. We observe these activities in a moderately large landscaped office using two different methods. One is the Time Utilization Survey (TUS) method where the field observer observes both sedentary and fleeting activities from a set of points on a predefined route. The other is the “space syntax” method where the observer observes fleeting activities as she walks along an observation route. We investigate if the sedentary activities in well-defined spaces would have the same spatial predictors as the fleeting activities in ill-defined spaces. For this, we use two sets of spatial descriptors: One set includes integration and connectivity of spaces in a layout computed using the axial map analysis techniques of “space syntax”. The other set includes degree and closeness of individual workspaces in the network of visibility computed using the network analysis techniques. Our study shows that the fleeting activities are better predicted by integration and connectivity, while the sedentary activities are better predicted by degree and closeness. This finding is important for it suggests that we may need different spatial strategies to influence fleeting and sedentary activities in offices.
Identification of novel plasma lipid markers of cardiovascular disease risk in White and Black women

Rationale: Cardiovascular disease (CVD) is the leading cause of mortality for women in the USA. Current clinical biomarkers are inadequate to determine CVD risk in women, especially Black women, who disproportionately suffer from CVD. Methods: Clinical data and LC-MS lipidomics from two independent study cohorts were used to identify novel circulating markers of CVD risk in White and Black women. Machine learning assessed predictive efficacy of identified lipids, and targeted oxylipid analysis provided insight into dysregulated inflammatory pathways. Results: Select phospholipids and triglycerides containing acyl chains in the arachidonic acid (ARA) pathway were predictive of systolic blood pressure (BP) after adjusting for biological factors including age, obesity, and glycemic status in White and Black women. Oxylipid levels indicated increased conversion of ARA through the COX and LOX enzymes to pro-inflammatory cytokines in Black women. Conclusion: ARA-containing phospholipid are independent predictors of CVD risk in White and Black women. Predisposition to CVD risk in Black women may further be explained by increased production of pro-inflammatory oxylipids relative to White women, regardless of blood pressure status. Future studies investigating the clinical utility of phospholipid ARA abundance as a marker of CVD risk in White and Black women are warranted.
Learning Similarity-Preserving Representations of Brain Structure-Function Coupling

Advances in graph signal processing for network neuroscience offer a unique pathway to integrate brain structure and function, with the goal of revealing some of the brain's organizing principles at the system level. In this direction, we develop a supervised graph representation learning framework to model the relationship between brain structural connectivity (SC) and functional connectivity (FC) via a graph encoder-decoder system. Specifically, we propose a Siamese network architecture equipped with graph convolutional encoders to learn graph (i.e., subject)-level embeddings that preserve application-dependent similarity measures between brain networks. This way, we effectively increase the number of training samples and bring in the flexibility to incorporate additional prior information via the prescribed target graph-level distance. While information on the brain structure-function coupling is implicitly distilled via reconstruction of brain FC from SC, our model also manages to learn representations that preserve the similarity between input graphs. The superior discriminative power of the learnt representations is demonstrated in downstream tasks including subject classification and visualization. All in all, this work advocates the prospect of leveraging learnt graph-level, similarity-preserving embeddings for brain network analysis, by bringing to bear standard tools of metric data analysis.
Promotion and Validation of Flipped Teaching Based on 1 Video Conference in Standardized Training for Internal 2 Medicine Residents

16 Objective : I aimed to verify the training effect of Flipped Teaching with Video 17 Conference as carrier in the training of infectious diseases, and promote the 18 application of this teaching mode in the standardized training for resident 19 physicians. 20 Methods : The vertical management mode was adopted to carry out Flipped 21 Teaching in the training, and the training of infectious diseases was carried out 22 according to the requirements of the standardized training program for internal 23 medicine resident. The residents trained in April were included in the trial group,
A study on the complex evanescent focal region of a high numerical aperture objective and its applications

In recent years, optical near-field has received an ever-increasing attention owing to its ability to localise optical signals beyond the diffraction limit. Optical near-field is a non-propagating field existing in the close vicinity of a matter within a range less than the wavelength of the illumination light and it carries the high spatial frequency information showing the fine details of the matter. An optical near-field can be generated by a near-field optical microscope with a nano-aperture or a metal-coated fibre tip. However, common difficulties associated with this approach, such as a fragile probe, a low throughput and signal-to-noise ratio, and a slow response of gap controlling between the probe and the sample, make it less applicable. Alternatively, optical near-field can be produced by total internal reflection (TIR) occurring at the interface of a prism, which is capable of localising the electromagnetic (EM) field in the close vicinity of the interface. However, in this geometry, no confinement of the field can be achieved in the transverse direction, whereas, in most applications such as optical trapping, micro-fabrication and optical data storage, a transverse confinement of the light field is essential. In order to achieve a transverse confinement of the light field, maintaining the high spatial resolution of the optical near-field, and at the same time eliminating the drawbacks associated with the conventional near-field optical microscope, a novel near-field probe based on a high numerical aperture (NA) TIR objective combined with annular illumination has been developed recently. In this arrangement, an
Performance Evaluation and Analysis of Supervised Machine Learning Algorithms for Bitcoin Cryptocurrency Price Forecast

Earlier to the advent of computers and the internet. Transactions such as buying, selling, hiring, and cash transfer are performed physically, hand-to-hand and/or face-to-face using hard-printed currency also known as traditional means. The recent advances in internet and networking technologies have significantly refurbished and improved the methods and limitations of the traditional ways, through cryptocurrency or digital money especially in terms of cost, speed, and access. These technologies which bring people together irrespective of geographical location have fashioned a revolution in trading and transaction processing; online transaction processing and real-time processing. However, like every other pioneering development, this is not without resistance from stakeholders, whom have been using the traditional means for long; its validity and legitimacy have been seriously challenged. In this work, several models leveraged to forecast bitcoin price were Linear Regression (LR), K-Nearest Neighbor (KNN), Support Vector Machine (SVM), Decision Tree (DT), Elastic Net Regression (EN), Lasso Regression (Lasso) and Ridge regression (RR). The models ’ accuracies were determined and evaluated using Mean Absolute Error (MAE), Mean Square Error (MSE), and R Square Error (R2). It revealed good performance except for SVM which falls in the negative even after fine-tuning and improved performance. The LR led in performance, then EN, Lasso, and RR. Decision Tree on the other hand present an encouraging and challenging result. Whereas the SVM model presents worst-case prediction accuracy of -22.38%. Therefore, the linear regression model has the best fit for bitcoin price prediction amongst the algorithms tested and evaluated. The study would reduce researchers throughput by presenting firsthand model for price prediction, support vector machine need to be further studied to unravel reasons for its undesirable performance.
A Component Vulnerability Matching Approach for IoT Firmware

Component vulnerability matching offers an approach for discovering vulnerabilities existing in IoT firmware. In this work, A component composition analysis and reliability assessment (C2ARA) is developed to improve the component vulnerability matching. The C2ARA method employs a knowledge graph for discovering the components and their relationships from the extracted file system of the firmware. The key to the proposed method is to discover vulnerabilities from the component composition extracted from IoT firmware file systems, rather than only the information provided by CVE databases and firmware vendor. The results of the experiment with a large-scale dataset demonstrate the effectiveness of the C2ARA method.
The Eﬀect of Ten-Week FIFA 11+ Injury Prevention Program for Kids on Performance and Fitness of Adolescent Soccer Players

Background: Soccer is the world’s most popular sport, with most players being younger than 18 years. “FIFA 11+ Kids” has been recentlyintroducedtopreventsoccerinjuriesinadolescentplayers. Thisprogramwouldbemoreacceptedandfollowedbycoaches and players if it were to also promote performance and physical ﬁtness in players. The purpose of this study was to assess the eﬀect of a ten-week FIFA 11+ for kids Injury prevention program on performance and physical ﬁtness in adolescent soccer players. Methods: 56 adolescent players participated in this study from Tehran province, Iran. They were divided into intervention and controlgroups. Theinterventiongroupunderwent10weeksof FIFA11+warm-upexerciseforkids,whilethecontrolgroupfollowed its routine warm-up. Both groups took the slalom dribbling, Illinois, sit and reach, standing long jump, triple hop, Y balance, 40 and 20-yard sprint, plank and side plank tests one week before and after the program. Results: CovarianceanalysisshowedthattheinterventiongroupgainedsigniﬁcantlybetterresultsinYbalance,triplehopdistance, isokinetic strength of ﬂexor and extensor of knee muscles and 40-yard speed tests compared to the control group as the result of theten-weekFIFA11+injurypreventionprogramforkids. Nosigniﬁcantdiﬀerencewasseenintheslalomdribbling,Illinois,sitand reach, standing long jump, 20-yard sprint, plank, and side plank between the groups. Conclusions: Ybalance,triplehopdistanceand40-yardspeedtestscouldbeneﬁtfromthe11+kidsprogramowingtothespeciﬁcity principle of training; since the main focus of the11+ kids program is on plyometric and balance exercises. As the 11+ Kids program doesnotcontaintherelateddrillstoimprovetheperformanceandotherﬁtnesscomponents,itisthereforenotexpectedtoimprove theslalomdribbling,Illinois,sitandreach,standinglongjump,20-yardsprint,plank,andsideplank. However,the11+kid’sprogram couldenhancesomeof therelatedphysicalﬁtnesscomponentssuchasbalancewhichhasbeenshowntoberelatedtosportinjuries and may probably be eﬀective in sport injury prevention.
Indoor localization of UHF RFID tags

For many commercial applications it is of interest to identify and localize objects. The most traditional way of identifying objects is to use labels with a printed barcode, an alternative can be UHF RFID tags. This thesis describes possible solutions to the localization problem. By measuring the phase difference between the transmitted continuous wave and the received backscatter at different frequencies, it is possible to estimate the distance. By measuring the distance to three readers it is possible to determine the location of a tag with the help of trilateration. To overcome the influence of the environment on the distance estimate, this thesis suggests the use of reference tags and the K-Nearest Neighbors (KNN) algorithm to derive a location. The results in terms of average localization error are similar to a RSSI based method, about 0.4 m. Another approach is to use an array of multiple antennas, a so-called phased array. When a signal is received by two different antennas there will be a time delay between the signals dependent on the Direction of Arrival (DOA) of the signal. For an array with more antennas the MUSIC or EPSRIT algorithm can be used. The observation that a tag is within the near field of a phased array leads to the fact that there is an extra phase difference depending on the distance of the tag to the array. An average angle error of 3 to 4 degrees and a range error in the order of 0.3 m is measured. Differences with measurements in an anechoic room show that the performance of the system heavily depends on the environment. To decrease the energy consumption of a multi-array system, this thesis explores the use of heavily quantized signals instead of the high resolution signals used in the near field experiments. The DOA estimation algorithms are based on correlations between the different array channels. By using single bit quantized signals, errors are introduced in these correlations, which can be corrected. Experiments in a realistic environment show that by using single-bit quantized signals, the DOA estimation degrades from 4 to 6 degrees.
18 F-fluorothymidine PET for predicting survival in patients with resectable pancreatic cancer

Purpose: The aim of this study was to correlate preoperative 3'-deoxy-3'-[ 18 F] fluorothymidine (FLT) uptake with the clinical outcome and survival in these patients after surgery. Materials and Methods: We performed a prospective analysis in 27 patients with adenocarcinoma of the pancreas (15 males, 12 females, mean age: 62 ± 13 years, range: 34 – 86 years). FLT PET (45 min p.i., 300 MBq FLT; ECAT HR+) images were acquired according to standard protocols. FLT uptake was quantified using standardised uptake values (SUV). Mean follow-up was 35 months (range 24-49). FLT uptake was correlated with survival using Martingale residual analysis. Results: Twenty-two patients died during follow-up. Mean overall survival was 18.8 months (SD: 12.7 months, 95% CI: 7.7, 26.5). FLT PET showed a mean SUV of 2.5 (range: 1.1 - 6.5). Martingale residual analysis revealed significant correlation between survival and FLT uptake ( p = 0.045). The corresponding estimated hazard ratio per one-point increment of SUVmean was 1.298 (95% CI: 1.001, 1.685; p < 0.05). Conclusions: FLT PET allows risk stratification for death in patients with resectable pancreatic cancer prior to surgery.
Molecular docking study on curcumin and its derivatives as inhibitors of BACE1 in the treatment of Alzheimer’s disease

Background: Alzheimer’s disease (AD) is a progressive neurodegenerative brain disorder, and it is the main cause of dementia in the elderly. At present, no proper cure is available to stop the progression of AD. The neuronal damage in AD is due to the deposition of β-amyloid peptide and tau protein within the brain. Curcumin a curry spice has several beneficial activities such as antioxidant, antimicrobial, anti-inflammatory, and chemotherapeutic properties. Aims and Objectives: The main objective was to perform molecular docking of curcumin and its derivatives with BACE1 to determine its binding efficacy and the absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties of the selected curcumin derivatives. Materials and Methods: Three-dimensional structure of the BACE1 was retrieved from RCSB database in protein data bank format. Total 200 ligand derivatives of curcumin were generated using the software advanced chemistry development/ChemSketch. The rapid virtual screening of the compounds was performed using the docking tool iGEMDOCK version 2.0. The ligands with low binding energy were selected and were analyzed for the drug-relevant properties. The final docking of the ligands was performed using the software AutoDock 4.0, based on the drug-like properties and the binding affinity. Results: Among the four ligands, based on the drug-likeness, the ligand (6Z)-1-(4-hydroxy-3-methoxy-2-nitrophenyl)-7-(4-hydroxy-3-methoxyohenyl) hepta-1,6-diene-3, 5-dione was the best. It had excellent binding energy with good ADMET properties. Conclusion: In this study, using the molecular docking method, a new compound has been identified to inhibit BACE1. This compound can be an effective drug candidate for controlling AD.
Assessment of the Arkansas Horse 4-H Program: Perspectives from Multiple Stakeholders

Assessment of the Arkansas horse 4-H program utilized stakeholders’ perceptions to describe inputs, outcomes, preferences and impacts provided by the Arkansas Cooperative Extension Service. Stakeholders’ perceptions were captured through three studies. Studies included the following: a preand post-test evaluation of the 2016 summer horse camp, purposive interviews with county agents (n = 6), volunteer leaders (n = 4), and parents (n = 4) of horse 4-H clubs, and a statewide survey provided to Extension staff (n =26) and volunteer leaders (n = 28) affiliated with horse 4-H clubs. The 2016 summer camp evaluation found the goals to improve horsemanship, safety, and interest in horse projects were largely fulfilled. Innovative practice to design, implement and evaluate the camp were found effective. Purposive interviews revealed implementation factors presented by club members, program staff, communities and determined program outcomes. Interviews also explored communication aptness. Emergent themes described need for supportive parents, safe horses, and inexpensive competitive/educational opportunities among diverse youth. Levels of support provided by Extension staff and/or parents effects volunteer leaders’ ability to facilitate clubs. Geographic location and community resources impact club opportunities. All clubs provide positive youth outcomes, a source of motivation among stakeholders. Information about club opportunities is commonly received through email, then shared with diverse audiences and channels. Equine-related information and knowledge is sought from the state’s Extension headquarters, personal resources, and youths’ educational opportunities. Club characteristics, program staff characteristics and program outcomes were described by Extension staff and volunteer leaders through statewide mixed-mode surveys. Impacts associated with club participants included equine interests, access to resources, parental support, and financial capacity. Impacts associated with program staff included internal relationships, horse-related competencies, horse-related interests, stakeholder support, and club membership levels. Both clubs and program staff are impacted by the availability of community resources. Program outcomes were largely positive at youth and community levels. Recommendations include reporting program outcomes to improve parental engagement and support, thereby improving youth recruitment and retention. Strategy meetings at the club and program staff levels are recommended to foster support and innovation. Recommendations for future research include exploring the impact of volunteer leader management practices.