Miracle-dz/UniFAR-FTUs huggingface dataset:
Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients

Discovering the underlying mathematical expressions describing a dataset is a core challenge for artificial intelligence. This is the problem of $\textit{symbolic}$ $\textit{regression. }$ Despite recent advances in training neural networks to solve complex tasks, deep learning approaches to symbolic regression are underexplored. We propose a framework that combines deep learning with symbolic regression via a simple idea: use a large model to search the space of small models. More specifically, we use a recurrent neural network to emit a distribution over tractable mathematical expressions, and employ reinforcement learning to train the network to generate better-fitting expressions. Our algorithm significantly outperforms standard genetic programming-based symbolic regression in its ability to exactly recover symbolic expressions on a series of benchmark problems, both with and without added noise. More broadly, our contributions include a framework that can be applied to optimize hierarchical, variable-length objects under a black-box performance metric, with the ability to incorporate a priori constraints in situ, and a risk-seeking policy gradient formulation that optimizes for best-case performance instead of expected performance.
VALGUS EXTENSION OSTEOTOMY FOR HINGE ABDUCTION IN AVASCULAR NECROSIS

Femoral head deformity with flattening and lateral protrusion can occur secondary to epiphyseal dysplasia or avascular necrosis of any aetiology in childhood. This causes painful impingement of the lateral femoral head on the acetabular lip, a phenomenon known as hinge abduction. We aimed to review our experience of valgus extension osteotomy in the treatment of hinge abduction in children and young adults with avascular necrosis. Twenty patients undergoing valgus osteotomy for hinge abduction performed by a single specialist were clinically and radiologically reviewed. The aetiology was Perthes disease in 16 patients and treatment of DDH in 4 patients. The indication for the procedure was pain and limited abduction. The mean follow-up was 4.5 years. Patients were assessed using modified Iowa hip scores at final follow-up. The procedure corrected some leg shortening and improved the abduction range of the affected hip. Overall 80 % of patients did well. The mean Iowa hip score in Perthes group was 84 at final follow-up. Four patients preoperatively had cysts/ defects in their femoral head. These were seen to fill up during their postoperative follow-up. Poorer outcome was associated with preoperative hip stiffness and surgery before stabilisation of the avascular process. Conclusion: Valgus osteotomy is an effective procedure for relieving hinge abduction with associated additional benefits including improvement of leg shortening and improvement in hip abduction. The procedure should be avoided in stiff hips.
Drug Utilization Study in Ischemic Heart Diseases Associated With Diabetes and Hypertension

Aim: To evaluate drug utilization in acute coronary syndromes associated with diabetes and hypertension in Princess Esra, a tertiary hospital in Hyderabad, India. It was a retrospective study done for a period of three months during which treatment of 140 patients was studied.It was seen in this study that the incidence of polypharmacy was high. Trade names were used more frequently compared to generic names. If only generic names are used we can decrease the financial burden of the patient. The value of longterm use of clopidogrel along with aspirin was substantial, making this drug a valuable addition to the effective medication for secondary prevention of high risk patients.
The effect of early diagnosis of hearing loss on school performance of children

The present research was aimed at finding out the effect of early diagnosis of hearing impairment on school performance of the hearing-impaired children. The study was carried out on a sample of parents of fifty two students of fifth class (half male and half female) and their teachers. Students were selected randomly from two special schools for hearing-impaired children situated in Rawalpindi city. The causal comparative method was used to study the effect of early diagnosis on school performance of children. Two separate questionnaires were used to collect information from parents and the teachers. Information regarding school performance of children was gathered through a checklist. Before distributing the questionnaires, a pilot study was conducted to test the validity of the questionnaires. Results indicated that majority of students were deaf by birth. It was also revealed that 75% of students with hearing impairment received pre-schooling service facility after diagnosis. The students whose disability was diagnosed within a time period of six months of birth performed better than the students whose disability was diagnosed after six months of their age. There exists a strong relationship between the early diagnosis and school performance of the hearing-impaired children. Results of the study showed that generally parents were not aware of the early steps which could be taken for the better development and performance of the hearing-impaired children. This study generated information about various factors and elements regarding the early diagnosis of hearing impairments. It also pointed out numerous difficulties faced by the parents in the early diagnosis of the hearing impairment.
Opioid use is associated with incomplete capsule endoscopy examinations: a systematic review and meta-analysis.

Background Capsule endoscopy (CE) is a non-invasive imaging modality designed to evaluate various small bowel pathologies. Failure to reach the cecum within the battery lifespan, termed incomplete examination, may result in inadequate testing and possibly delayed therapy. Several studies have attempted to evaluate the association between CE completion and opioid use. However, their results are conflicting. The aim of this meta-analysis is to evaluate the previously published literature on the association between opioid use and CE completion. Methods We performed a comprehensive literature search in PubMed, PubMed Central, Embase, and ScienceDirect databases from inception through June 1, 2018, to identify all studies that evaluated the association between CE completion and opioid use. We included studies that presented an odds ratio (OR) with a 95% confidence interval (CI) or presented the data sufficient to calculate the OR with a 95% CI. Statistical analysis was performed using the comprehensive meta-analysis (CMA), version 3 software. Results Five studies with a total of 1,614 patients undergoing CE in the inpatient (IP) and outpatient (OP) setting were included in this study, 349 of which had an incomplete CE (21.6%). The pooled OR for CE completion is 0.50 (95% CI: 0.38-0.66, I2=36.9%) in opioid users compared to non-users. No publication bias was found using Egger's regression test. Conclusions Our results indicate that patients on opioids are significantly less likely to have a complete CE examination compared to non-users. To our knowledge, this study represents the first meta-analysis to assess this association.
The effects of job characteristics on home care workers' well-being and job performance: Understanding the psychosocial effects of relational care

iv Acknowledgements . vi Section I: Introduction, Conceptual Framework and Review of the Literature . 1 Chapter 1: Introduction . 2 Chapter 2: Literature Review . 6 Section II: Quantitative Methods, Analysis and Findings: Structural Measures of Home Care Job and Care Quality . 27 Chapter 3: Do Employer-Provided Benefits Lead to Better Patient Outcomes? 28 Section III: Qualitative Methods and Findings: Aides’ Perceptions of Home Care Quality and Worker Well-Being . 66 Chapter 4: Qualitative Methods . 67 Theoretical Orientation . 67 Methods. 73 Study Population . 93 Chapter 5: Quality of Care: What is “Good Care”? 92 Chapter 6: The Effect of Caring Work on Aides’ Well-Being . 123 Limitations . 155 Section V: Appendix and Bibliography . 174 Appendix A: Terms Used in this Dissertation . 175 Appendix B: Focus Group Reportback Summary . 177 Appendix C: Informed Consent for Screening . 181 Appendix D: Participant Eligibility Questionnaire . 182 Appendix E: Informed Consent for Focus Groups . 184 Appendix F: Participant Demographic Survey . 186 Appendix G: Focus Group Discussion Guide . 189 Appendix H: Institutional Review Board Approval . 193 Bibliography . 195
Regulation of Obesity-Induced Adipose Tissue Inflammation and Insulin Resistance through Modulation of Immune Cell Function

The recruitment of immune cells into adipose tissue is a hallmark of obesity and a key event contributing to the development of adipose tissue inflammation and insulin resistance. However, the mechanisms regulating functions of immune cells in adipose tissue niches in response to obesity are poorly understood. In the present studies, I have demonstrated that hematopoietic-specific microRNAs and a functional cytokine, interferon tau, act as critical regulators for activation of adipose tissue resident immune cells including macrophages and B cells which subsequently affect obesity-induced tissue inflammation and insulin resistance. First, miR-150KO mice display exacerbated obesity-induced tissue inflammation and insulin resistance. This phenotype is recapitulated by the adoptive transplantation of isolated miR-150KO B cells from obese mice into mice lacking B lineage cells. Further, miR-150KO B cells exerted potent stimulatory effects on both T cells and macrophages. Several miR-150 target genes were identified and knockdown of those genes individually or in combination alleviated B cell actions upon stimulation by altering important pathways downstream of the B cell receptor complex. Second, I have shown that miR-223 is a critical mediator for PPARγ action in controlling M2 activation, and subsequent beneficial effects that mitigate tissue inflammation and insulin resistance. Impaired PPARγ functions
ATMFN: Adaptive-Threshold-Based Multi-Model Fusion Network for Compressed Face Hallucination

Although tremendous strides have been recently made in face hallucination, exiting methods based on a single deep learning framework can hardly satisfactorily provide fine facial features from tiny faces under complex degradation. This article advocates an adaptive-threshold-based multi-model fusion network (ATMFN) for compressed face hallucination, which unifies different deep learning models to take advantages of their respective learning merits. First of all, we construct CNN-, GAN- and RNN-based underlying super-resolvers to produce candidate SR results. Further, the attention subnetwork is proposed to learn the individual fusion weight matrices capturing the most informative components of the candidate SR faces. Particularly, the hyper-parameters of the fusion matrices and the underlying networks are optimized together in an end-to-end manner to drive them for collaborative learning. Finally, a threshold-based fusion and reconstruction module is employed to exploit the candidates’ complementarity and thus generate high-quality face images. Extensive experiments on benchmark face datasets and real-world samples show that our model outperforms the state-of-the-art SR methods in terms of quantitative indicators and visual effects. The code and configurations are released at https://github.com/kuihua/ATMFN.
PENGARUH OPERATING CAPACITY DAN SALES GROWTH TERHADAP FINANCIAL DISTRESS DENGAN PROFITABILITAS SEBAGAI VARIABEL MODERATING

Financial distress is the stage of a decline in financial conditions experienced by the company before the bankruptcy. This study aims to examine the effect of operating capacity and sales growth on financial distress with profitability as a moderating variable. The population in this study are property and real estate companies listed on the Indonesia Stock Exchange. The sample in this study amounted to 28 property and real estate companies during the 2013-2017 period. Sampling used a purposive sampling method. The analytical tool used in this study is multiple linear analysis and Moderated Regression Analysis (MRA). Based on the results of research conducted, the conclusion that can be drawn is that Operating Capacity has a negative and significant effect on financial distress, Sales Growth has a positive and significant effect on financial distress, Profitability is not able to moderate the effect of Operating Capacity on Financial Distress, and Profitability does not moderate the effect of Sales Growth towards Financial Distress Keywords: Operating Capacity, Sales Growth, Financial Distress, Profitability
Motorized Mobility Scooter Use and Knowledge of the Rules And Etiquette: A Survey

Abstract Aims: Motorized mobility scooters (MMS) may increase occupational participation for individuals with mobility limitations. However, safety concerns exist for device users, pedestrians and other vehicles with use of MMS in public locations. This study aimed to determine if users of MMS comprehend and apply relevant road regulations and practice etiquette appropriate for MMS use within the community. Method: MMS users over 18 years in the Western Australian region completed a survey design with quantitative and qualitative descriptors. Results: A non-experimental exploratory descriptive study utilized a survey design collected data on users’ comprehension and application of MMS road rules and etiquette guidelines. Twenty-seven participants completed the survey. Conclusion: There is a dearth of understanding among MMS users of the exact pedestrian road rules and etiquette practices to abide by. Further high quality studies are needed to determine accuracy and transferability of results across the expansive MMS user population.
Dielectric Slab Air-Filled Substrate Integrated Waveguide (SAFSIW) Bandpass Filters

This letter introduces stepped-impedance bandpass filters based on the slab air-filled substrate integrated waveguide (SAFSIW), which provides a compromise in terms of loss and footprint between substrate integrated waveguide (SIW) and air-filled SIW (AFSIW). First, the theoretical unloaded quality factor of the SAFSIW guided-wave structure is presented. Then, a design procedure of SAFSIW stepped-impedance bandpass filters is introduced. Finally, for demonstration purposes, a third-order Chebyshev filter, centered at 30 GHz, is synthesized, optimized, fabricated, and measured. With a low-cost FR-4 to enclose the structure, a return loss better than 15 dB with a minimum insertion loss of 0.99 dB in the passband is obtained in experiments.
The 2015 refugee crisis, uncertainty and the media: Representations of refugees, asylum seekers and immigrants in Austrian and French media

Abstract Media coverage of migration and migrants can exert considerable influence on the public’s understanding of and attitudes towards migration. During the peak of what has been called ‘the refugee crisis’ in 2015, heated discussions about immigration and its possible impact filled the media landscape. This study focuses specifically on the news framing of insecurities regarding immigration, exploring what we have termed ‘uncertainty frames’ in the coverage of refugees, asylum seekers and immigrants. This study will thus lend empirical support to a novel attempt to combine the concepts of uncertainty, risk, and framing. These frames were analyzed within French and Austrian media from 2015 to 2016. Drawing on a content analysis of tabloid and broadsheet articles, different types of uncertainty frames (economy, values, society, etc.) as well as different types of solution frames (the kind of solutions provided for the issue of immigration) were examined. Results suggest that even though all frames decrease in salience over time, important variations in different types of uncertainty frames do appear. It is argued that frames related to abstract issues seem to stay more salient throughout time in both countries.
A Nondestructive, Remote Sensing-Based Estimation of the Economic Value of Aboveground Temperate Forest Biomass (Case Study: Hyrcanian Forests, Nowshahr-Iran)

ABSTRACT Background: Traditional field-based methods of measurement of biomass and carbon storage face difficulty in collecting time-consuming and expensive, suggests the use of remote sensing-based techniques. It estimates the economic value of the aboveground biomass (AGB) using satellite remote sensing across the Hyrcanian forests of Iran. Methods: The Landsat-8 OLI sensor data were combined with field-based allometric information of 186 circular sample plots. The AGB was calculated at the plot level using the collected data and specific volumetric mass for species in the studied area. It was followed by calculating the carbon storage using a 50% carbon coefficient and the photosynthesis equation at the forest parcel level. Model results using the random forest and support vector machines. The carbon sequestration value was calculated with USD 25.3 as a shadow value of carbon in 2014 and using the replacement cost approach. Results: The highest performances achieved by RF for biomass, carbon storage and the carbon storage value (Iranian Rials of 0.67% and 16%, respectively). The value was derived once at the plot level of 12.22 million IRR (370.43 USD) per ha. In addition, at the parcel level, which resulted in an estimated value of 12.87 million IRR (390.24 USD) per ha.
Low-grade inflammation and cognitive functioning: Emotion recognition, reinforcement learning, and attention

The research in this thesis investigated low-grade inflammation as a factor in cognitive function, focussing on three cognitive domains: social cognition, motivated behaviour, and attention and psychomotor processes. Vaccination-induced acute low-grade inflammation reduced emotion recognition and perceived loneliness predicted the magnitude of the inflammatory response to this induction. The effects of acute low-grade inflammation on emotion recognition were replicated in age- and BMI-related chronic low-grade inflammation. Next, acute inflammation affected selective aspects of motivated learning (e.g., rate of learning, flexibility). These results were again partly replicated in chronic inflammation. Finally, older age and high BMI were both associated with psychomotor slowing (i.e., slower motor response time), and inflammation appeared to be a mediator. Behavioural responses to the Attention Network Task appeared unaffected by both acute and chronic low-grade inflammation. However, EEG analysis demonstrated that acute low-grade inflammation affected the underlying neurophysiological process that underpins the alerting function of attention, as evident by greater cue-induced suppression of alpha power. This result suggests greater deployment of mental effort to maintain adequate performance. While prior research has mostly focussed on inflammation as a possible determinant of psychopathology, the present results indicate that low-grade inflammation in the absence of illness likewise impact cognitive function, suggesting also relevance for every-day cognitive functioning.
A Rainfall‐Runoff Model With LSTM‐Based Sequence‐to‐Sequence Learning

Rainfall‐runoff modeling is a complex nonlinear time series problem. While there is still room for improvement, researchers have been developing physical and machine learning models for decades to predict runoff using rainfall data sets. With the advancement of computational hardware resources and algorithms, deep learning methods such as the long short‐term memory (LSTM) model and sequence‐to‐sequence (seq2seq) modeling have shown a good deal of promise in dealing with time series problems by considering long‐term dependencies and multiple outputs. This study presents an application of a prediction model based on LSTM and the seq2seq structure to estimate hourly rainfall‐runoff. Focusing on two Midwestern watersheds, namely, Clear Creek and Upper Wapsipinicon River in Iowa, these models were used to predict hourly runoff for a 24‐hr period using rainfall observation, rainfall forecast, runoff observation, and empirical monthly evapotranspiration data from all stations in these two watersheds. The models were evaluated using the Nash‐Sutcliffe efficiency coefficient, the correlation coefficient, statistical bias, and the normalized root‐mean‐square error. The results show that the LSTM‐seq2seq model outperforms linear regression, Lasso regression, Ridge regression, support vector regression, Gaussian processes regression, and LSTM in all stations from these two watersheds. The LSTM‐seq2seq model shows sufficient predictive power and could be used to improve forecast accuracy in short‐term flood forecast applications. In addition, the seq2seq method was demonstrated to be an effective method for time series predictions in hydrology.
FAKTOR RISIKO MUSCULOSKELETAL DISORDERS (MSDs) PADA PEKERJA TENUN IKAT DI KELURAHAN TUAN KENTANG KOTA PALEMBANG

Musculoskeletal Disorders (MSDs) adalah penyakit yang mempunyai gejala yang menyerang otot, syaraf, tendon, ligamen tulang sendi, tulang rawan, dan syaraf tulang belakang. Penelitian ini bertujuan diketahuinyaanalisis Musculoskeletal Disorders (MSDs) pada pekerja tenun ikat di kelurahan tuan kentang kota palembang tahun 2019. Desain penelitian ini adalah observasional analitik dengan pendekatan potong lintang. Sampel penelitian ini pekerja tenun ikat di Kelurahan Tuan Kentang Kota Palembang yang berjumlah berjumlah 44 orang. Instrumen penelitian menggunakan lembar Nordic Body Map. Analisis hubungan menggunakan Uji statistik chi square (α=0,05). Penelitian ini dilaksanakan pada 23 April 2019. Hasil analisis hubungan didapatkan nilai masing-masing variabel terhadap MSDs adalah umur (p=0,012), lama kerja(p=0,027), masa kerja (p=0,027), aktivitas berulang (p=0,012), kesegaran fisik (p=0,027), jenis kelamin (p=0,702). Sehingga dapat disimpulkan bahwa ada hubungan antara umur, lama kerja, masa kerja, aktivitas berulang dan kesegaran fisik serta tidak ada hubungan jenis kelamin dengan MSDs. Disarankan untuk lebih memperhatikan kesehatan dan keselamatan kerja pada pekerja terutama pada gangguan musculoskeletal disorders yang disebabkan karena kondisi lingkungan kerja dan beban kerja yang kurang sesuai sehingga dapat mengakibatkan menurunnya produktivitas kerja.
Parental beliefs about young children’s leisure activity involvement

Abstract The primary goals of the current study were to examine parental beliefs about the benefits of leisure activities for their young children and to explore how these beliefs were related to their children’s participation in leisure activities. Parents (n = 570) of children (aged 3 to 7-years-old) reported on their children’s behavioral (i.e., frequency, breadth) and psychological engagement in their leisure activities, and a subset provided ratings of their perceptions of the benefits of children’s leisure activities using the newly developed Perceived Activity Benefits Scale (PABS). Factor analyses indicated a three-factor solution for the PABS, which were labeled character, competencies/fun, and overcoming difficulties. After controlling for demographic variables, only the competencies/fun subscale of the PABS was significantly and positively associated with activity frequency, breadth, and psychological engagement. Findings are discussed in terms of the implications of parental beliefs about their children’s leisure activities for their young children’s experiences.