Miracle-dz/UniFAR-FTUs huggingface dataset:
Stock Prediction with Random Forests and Long Short-term Memory

Machine learning as a popular computer science area has been promoted and developed for more than two decades. It has been applied in many ﬁelds in our life, like domestic products such as Alexa from Amazon, photographic products such as Mavic from Dji and so many other areas. This report represents an interesting way to apply machine learning and deep learning technologies on the stock market. We explore multiple approaches, including Long Short-Term Memory (LSTM), a type of Artiﬁcial Recurrent Neural Networks (RNN) architectures, and Random Forests (RF), a type of ensemble learning methods. The goal of this report is to use real historical data from the stock market to train our models, and to show reports about the prediction of future returns for picked stocks.
Ubiquitin links smoothened to intraflagellar transport to regulate Hedgehog signaling

In the absence of hedgehog ligand, patched-1 (Ptch1) localizes to cilia and prevents ciliary accumulation and activation of smoothened (Smo). Upon ligand binding, Ptch1 is removed from cilia, Smo is derepressed and accumulates in cilia where it activates signaling. The mechanisms regulating these dynamic movements are not well understood but defects in intraflagellar transport components including Ift27 and the BBSome cause Smo to accumulate in cilia without pathway activation. We find that in the absence of ligand-induced pathway activation, Smo is ubiquitinated and removed from cilia, and this process is dependent on Ift27 and BBSome components. Activation of hedgehog signaling decreases Smo ubiquitination, and ciliary removal, resulting in its accumulation. Blocking ubiquitination of Smo by an E1 ligase inhibitor or by mutating two lysine residues in intracellular loop three cause Smo to aberrantly accumulate in cilia without pathway activation. These data provide a mechanism to control Smo’s ciliary level during hedgehog signaling by regulating the ubiquitination state of the receptor. Summary Hedgehog signaling involves the dynamic movement of receptors and effectors in and out of cilia. We find that the dynamics of Smo is regulated by ubiquitination, which regulates its interaction with the intraflagellar transport system to control ciliary levels of this receptor.
Does Muhammadiyah Leadership Style Exist? An Empirical Examination About What and How to Measure It

: SlowMuhammadiyah's higher education is led by using a prophetic, associative, active, and dynamic style. This research aims to examine the leadership style called Muhammadiyah's leadership style. Data for preliminary studies were obtained from 73 respondents who are lecturers at one of Muhammadiyah universities in Yogyakarta. The results of the preliminary study showed that the item-total correlation of r was 0.785. Reliability is indicated by a minimum of Cronbach’s alpha value of 0.686. Thus, it can be concluded that the measurement of Muhammadiyah's leadership style exists, valid, and reliable.
An enhanced random forest with canonical partial least squares for classification

Abstract Recently, several variants of random forest have been derived for the classification problems, among which the rotation forest is an important type to improve the model’s accuracy. In this article, we proposed a simple and effective variation of rotation forest, which the canonical partial least squares algorithm is employed to rotate the variable space of tree and then all the trees are combined being a “forest. ” Results of an experiment on a sample of 20 benchmark datasets show our method has better prediction performance comparing with random forest and rotation forest.
Research on Wear Recognition of Electric Worker’s Helmet Based on Neural Network

Head injury is an important cause of electric construction accidents. Wearing a safety helmet is an effective measure to prevent electric construction accidents, and in the work, unsafe behavior of workers without wearing a helmet often occurs. This paper proposes a neural network-based automatic cap wear automatic identification and detection technology to identify the behavior of unwearing helmets in power construction. In view of the shortcomings of the existing helmet detection scheme in the complex environment, such as low efficiency and low recognition accuracy, this paper selects the region of the neural network (Fast-er-RCNN) to identify the wearing of the helmet during the power operation. The overall scheme uses the target detection scheme based on the foreground detection technology to detect the target individual in the obtained video recording of the power operation. The Kalman filter algorithm is used to track the target in the video and solve the occlusion problem in the video image. Through the actual detection of power construction monitoring video, the availability and efficiency of the designed algorithm are verified. The target recognition accuracy can reach 85.7% and the recall rate is 87.5%.
Toward Continuous Social Phenotyping: Analyzing Gaze Patterns in an Emotion Recognition Task for Children With Autism Through Wearable Smart Glasses

Background Several studies have shown that facial attention differs in children with autism. Measuring eye gaze and emotion recognition in children with autism is challenging, as standard clinical assessments must be delivered in clinical settings by a trained clinician. Wearable technologies may be able to bring eye gaze and emotion recognition into natural social interactions and settings. Objective This study aimed to test: (1) the feasibility of tracking gaze using wearable smart glasses during a facial expression recognition task and (2) the ability of these gaze-tracking data, together with facial expression recognition responses, to distinguish children with autism from neurotypical controls (NCs). Methods We compared the eye gaze and emotion recognition patterns of 16 children with autism spectrum disorder (ASD) and 17 children without ASD via wearable smart glasses fitted with a custom eye tracker. Children identified static facial expressions of images presented on a computer screen along with nonsocial distractors while wearing Google Glass and the eye tracker. Faces were presented in three trials, during one of which children received feedback in the form of the correct classification. We employed hybrid human-labeling and computer vision–enabled methods for pupil tracking and world–gaze translation calibration. We analyzed the impact of gaze and emotion recognition features in a prediction task aiming to distinguish children with ASD from NC participants. Results Gaze and emotion recognition patterns enabled the training of a classifier that distinguished ASD and NC groups. However, it was unable to significantly outperform other classifiers that used only age and gender features, suggesting that further work is necessary to disentangle these effects. Conclusions Although wearable smart glasses show promise in identifying subtle differences in gaze tracking and emotion recognition patterns in children with and without ASD, the present form factor and data do not allow for these differences to be reliably exploited by machine learning systems. Resolving these challenges will be an important step toward continuous tracking of the ASD phenotype.
Quercetina y entrenamiento. Análisis del estrés oxidativo y la biogénesis mitocondrial en tejidos con diferente actividad metabólica

espanolEl proposito de la presente Tesis Doctoral fue analizar los efectos ergogenicos de la quercetina cuando se suplementa durante el ejercicio. Asi como conocer los efectos de este flavonoide en las adaptaciones del musculo esqueletico y varias porciones del cerebro al ejercicio. Para ello se utilizo un modelo de ratas dividido en cuatro grupos: i) grupo control (ni quercetina ni entrenamiento); ii) grupo entrenado, iii) grupo quercetina y iv) grupo quercetina y entrenado. Tras 6 semanas de tratamiento se vio que la quercetina es incapaz de mejorar el rendimiento tanto en las ratas sedentarias como en las entrenadas. Por otro lado, la quercetina incrementa el dano oxidativo en todos los tejidos, y aunque parece mimetizar los efectos del ejercicio en la biogenesis mitocondrial si la quercetina se suplementa durante el ejercicio este efecto es impedido. La quercetina no proporciona ninguna ventaja para las adaptaciones celulares inducidas por el ejercicio. EnglishThe aim of the present PhD Thesis was to analyze ergogenic effects of quercetin when it is supplemented during exercise. The second goal was to know quercetin's effect on skeletal muscle and brain adaptations to exercise. For this purpose rats were allocated into 4 groups: i) control group (sedentary and no quercetin ingestion); ii) exercised group; iii) quercetin group; iv) quercetin and exercised group. After 6 weeks of treatment it was shown that quercetin is unable to increase exercise performance neither in sedentary nor in exercised rats. Moreover, quercetin increase oxidative damage in both sedentary and concomitant with exercise. Quercetin seems to be an exercise mimetic in regards to mitochondrial biogenesis, however, when quercetin is supplemented during exercise mitochondrial biogenesis is hampered. Thus, quercetin does not provide any advantage for cellular adaptations in response to exercise
New Trend of Stroke Rehabilitation According to Japanese Guidelines for the Management of Stroke

急性期リハビリテーション治療 脳卒中急性期から積極的なリハビリテーション 治療が勧められるが,開始時期とその訓練量,内 容に関してはまだ議論がある. AVERT study に おいては,発症 ùû 時間以内から座位,立位,歩行 などを開始する very early mobilization と usual careを比較した結果,ü÷ m 歩行自立の割合に差が なかったが若干 very early group における死亡率 が高かったと報告しているù). また,その後のサブ 解析の結果では,重症群においては低用量,高頻 度の訓練の予後がよかったと報告しているú). 近年の再生医療の発達に伴い,脳卒中医療にお ける再生医療も今後期待される. Rat 脳卒中モデ ルにおける ù 週間の抗 Nogo-A 抗体投与(軸索再 生阻害因子阻害)とリハビリテーション治療の組み 合わせでは,投与期間中に同時にリハビリテーショ ン治療を施行した群に比べて,ù 週間の薬剤投与 後にリハビリテーション治療を施行した群のほうが 機能回復が良好であったとの報告もあるû). 急性期リハビリテーション治療において,いつか ら,どのような訓練を,どのくらいの頻度で,どの くらいの強度で行うかということが,再生医療との 併用においてもますます重要になってくると考えら れる. 訓練内容に関しては,表 øに示すように,現時点 での脳卒中急性期リハビリテーション治療におい ては,不動・廃用の予防,座位の獲得,栄養手段の 決定が重要である. 開始時期については基本的には ûÿ 時間以内に 開始されるべきであり,前述した AVERT study 教育講座 Jpn J Rehabil Med 2019;56:54-58
Characterization of the dimeric interactions of dimeric and tetrameric conformations of the PvNV protrusion-domain using a mixed DFT/QTAIM approach

The protrusion-domain (P-domain) of Penaeus vannamei nodavirus (PvNV) exists as two dimer-dimer conformations: one is a protein dimer and the other is a protein tetramer. We undertook a theoretical study to gain a clear understanding of the nature of the stabilizing interactions at the dimeric interfaces of the dimeric and tetrameric conformations of the PvNV P-domain (PvNVPd) using the quantum theory of atoms in molecules (QTAIM) and natural-bond orbital (NBO) analyses in the framework of the density-functional theory (DFT) approach. The QTAIM analysis characterized the presence of multiple hydrogen bonds of common types with strength ranging from electrostatic to the covalent limit inside the PvNVPd dimer-dimer interfaces. Val257-Lys335, Phe294-Val330, Gln296-Thr328, Glu296-Thr329, Thr328-Gln297, Val330-Ala293, Lys335-Asp256 and Lys335-Val257 pairs are critical residue pairs of all three dimeric interfaces of PvNVPd. They preserve these dimeric interfaces through charge-charge, charge-dipole, dipole-dipole, hydrophobic and hydrogen bond interactions. The strongest intermolecular dimer–dimer interactions belong to the dimeric interface between subunits A and B of PvNVPd in the tetrameric conformation.
Bionanomaterial-based electrochemical biosensing platforms for biomedical applications

In recent years, bionanomaterial-based electrochemical biosensor platforms have received much attention for the detection of various emerging biomarkers in the clinical, pharmaceutical, and biological fields. The integration of electrochemical systems with biomaterials, including proteins/enzymes, nucleic acids, and biopolymers, provides rapid, sensitive and selective detection of biomarkers. This review discusses the development of biomaterial-derived electrochemical sensors and biosensor platforms for the next generation of medical diagnosis and real-time monitoring of the clinical status of patients at various levels. The complete utilization of various bionanomaterials and their nanocomposites in the design of high-performance electrochemical biosensor platforms for the sensitive and selective detection of emergent biomarkers will be described. Moreover, the prominent opportunities for designing biomaterials and analytical strategies to improve the performance of biosensors via multi-label intensification integrated with high volumes of capture molecules on material surfaces for further advances in biomedical fields will be discussed.
Self-perceptions of Airbnb hosts’ responsibility: a moral identity perspective

Abstract Responsible host conduct has emerged as important in regulating the peer-to-peer accommodation phenomenon. Utilising moral identity theory, this paper explores how hosts draw on their own perceptions of morality and responsibility to inform hosting practice. Through a qualitative research approach, the study reveals a variance of host practices that are not necessarily reflective of the perceived moral identity of hosts. In particular, the paper exposes the moral questions that hosts need to answer at different phases of the peer-to-peer transaction and, especially, if and how they enact certain aspects of their moral identity to guide their behaviour. The study offers a typology of Airbnb hosts’ (im)moral behaviour, which may be of theoretical and practical value to academics and policymakers alike.
Analysis of the influence of unequal current distribution on the heating of parallel connected LV MOV surge arresters

In low-voltage (LV) electrical networks metal-oxide varistor (MOV) surge arresters connected in parallel are often used against overvoltages. The paper presents the results of laboratory experiments, during which pairs of parallel connected MOV surge arresters were subjected to surges of specified energy. The tests determined energy distribution between surge arresters for AC burst voltage stresses, temperatures recorded on their surface using contact sensors and temperature distribution images (IR thermograms). The analysis of results and conclusions are also presented. Streszczenie. W sieciach niskiego napięcia stosowane są zwykle tlenkowe ograniczniki przepięć. W artykule przedstawiono wyniki badań, podczas których pary równolegle połączonych ograniczników poddano działaniu narażeń o określonej energii. Badano rozkład energii pomiędzy ograniczniki dla narażeń przebiegami AC oraz rejestrowano termogramy IR i temperatury na ich powierzchni, mierzone czujnikami kontaktowym. Przedstawiono analizę wyników badań i wnioski. (Analiza wpływu nierównomiernego rozpływu prądu na nagrzewanie się równolegle połączonych tlenkowych ograniczników przepięć niskiego napięcia).
CASeS: Concurrent Contingency Analysis-Based Security Metric Deployment for the Smart Grid

Security metric deployment is of immense importance for power utilities especially in future smart grids, which are being actively pursued in smart cities initiatives around the world. Through these metrics, utilities attain real-time awareness of the grid’s security posture. In this paper, we propose a contingency analysis based security evaluation framework for smart grid systems - CASeS. Based on the power flow equations of the grid, communication network characteristics, and concurrent power contingencies, CASeS leverages Markovian Decison Processes (MDP) to quantify the smart grid security. The security index delivered through CASeS emerges as a novel solution for concurrent power contingency consideration, and allows for the preparation of corrective actions to address the quantified grid criticality level. We evaluate CASeS on the standard IEEE 14-Bus and 39-Bus systems. The collected results demonstrate the usefulness of CASeS in quantifying the security of those systems.
Social Representations of Nurses about theirProfession: Integrative Review

An integrative literature review to identify the social representations of nurses about their profession. The literature searching was between September and November 2015 through the following databases: SCOPUS, PUBMED, Cochrane Library, Science Direct, Web of Science, CINAHL and MEDLINE. The final sample consisted of 05 articles. In the results, it was possible to identify characteristics of the publications and the social representations that nurses have of their profession. Thus, it was possible to know the differences in the perceptions of nurses about the social representations in their profession.
Graph Transliterator: A graph-based transliteration tool

Transliteration—the representation of one language or script in the characters or symbols of another—is a ubiquitous and important operation, used across the humanities, social sciences, and information sciences, as well as other fields. It enables text to be read by those who do not know the original alphabet, and also makes languages or related languages written in multiple scripts legible to readers conversant in only one script (Durrani, Sajjad, Fraser, & Schmid, 2010; Saini, Lehal, & Kalra, 2008). Transliteration enables the standardized organization and search of resources, as in library systems (Barry, 1997). It also permits the encoding of essential information often not found in the original script, such as morphological boundaries and unwritten elements, permitting disambiguation. In natural language processing tasks, transliteration has opened up new possibilities, especially in machine translation (Prabhakar & Pal, 2018) and named-entity recognition (Chen, Banchs, Zhang, Duan, & Li, 2018; Merhav & Ash, 2018).
Development of biorelevant simulated salivary fluids for application in dissolution testing

Conventional adult dosage forms such as tablets and capsules are often not suitable for the paediatric and geriatric population due to either swallowing difficulties or a requirement for tailored dosing to meet individual needs. Alternative oral formulations such as orally disintegrating tablets (ODTs) are available; however these usually require the incorporation of taste masking techniques. One approach to taste masking is to reduce contact between the bitter active pharmaceutical ingredient (API) and taste buds. This may be achieved by hindering release in the oral cavity using reverse enteric polymeric coatings. In vitro dissolution testing can be employed to elucidate taste masking capability by quantifying release of the API in simulated oral cavity conditions. This provides a robust analytical approach circumventing the expense and ethical challenges associated with human taste testing panels or animal testing. To achieve taste masking, drug release should be below the bitterness threshold concentration of the API. A vast array of dissolution methodologies has been employed in the evaluation of taste masked formulation performance in literature, with little agreement between approaches, and a lack of biorelevance. For optimal predictability, the dissolution test should be biorelevant and the dissolution media should mimic human saliva as closely as possible. Human saliva is thus a biological fluid of great importance in the field of dissolution testing. However, until now, no consensus has been reached on its key characteristics relevant to dissolution testing. As a result, it is difficult to select or develop an in vitro dissolution medium to best represent human saliva. In this thesis, for the first time, the pH, buffer capacity, surface tension, viscosity and flow rate of both unstimulated (US) and stimulated (SS) human saliva were investigated with a sufficient number of participants to generate statistically meaningful results (Chapter 3). This provides a platform of reference for future dissolution studies using simulated salivary fluids (SSFs).
An Adaptive SOSM Controller Design by Using a Sliding-Mode-Based Filter and its Application to Buck Converter

In this paper, a novel adaptive second-order sliding mode (SOSM) control method is proposed by combining a new adaptive strategy with the backstepping-like technique. The new adaptive strategy is first constructed by means of the equivalent control for which a sliding-mode-based filter is employed rather than the widely-used low-pass filter such that the parameter restriction under the usage of low-pass filter can be relaxed. Then, by applying the proposed adaptive strategy and the idea of adding a power integrator, an adaptive SOSM method is established to finite-time stabilize the sliding variables. The feature of the proposed SOSM method lies in that the gain will vary with the size of the lumped uncertainty so as to avoid the overestimation of the gain. The stability analysis is given based on the finite-time Lyapunov theory. The theoretical results are finally applied to the voltage regulation problem of a Buck converter.
Impacts of improved sorghum varieties intensification on household welfare in the mid-Zambezi Valley of Zimbabwe

ABSTRACT Attaining food and income security is a persistent challenge among small holder farmers of Southern Africa. Improved sorghum varieties are widely regarded as a panacea to extreme poverty. The paper uses endogenous switching regression to determine impacts of improved sorghum varieties intensification on household welfare. Household dietary diversity score and household food insecurity access score were used as outcome variables and proxies for food security. Cross-sectional data were generated in the Mid Zambezi Valley of Zimbabwe in 2016 from 380 households in a survey conducted with five purposively selected wards. Social association groups, average weighted market prices, household income, age of principal decision maker, dependency ratio, ownership of draught power and storage facilities have significant (p < 0.01) implications on the adoption decision. Counterfactual analyses shows that farmers who allocate more land towards improved sorghum varieties are relatively better off in food diversity and food access. Intensifying improved sorghum varieties can increase dietary diversity by 35% while reducing food insecurity by 29–34%. Social networking can be strengthened through local, government and private partnerships to facilitate generation and efficient dissemination of sorghum production and marketing information. Improving the market prices can increase market size and enhance efficiency along strategic value chain nodes.