Miracle-dz/UniFAR-FTUs huggingface dataset:
How Price Responsive is Industrial Electricity Demand in the US?

Accurate projections of electricity demand growth by end-use customer class (residential, commercial, industrial) are necessary for energy policy modelling, resource planning, and electricity pricing and procurement. Motivated by the expected trend of rising retail electricity prices in the US and diverse price elasticity estimates found by extant studies, we answer the substantive policy question: how price responsive is industrial electricity demand in the US? Based on a comprehensive panel data analysis that uses five parametric specifications and monthly data for the lower 48 states in 2001-2019, our answer comprises: (1) the statistically significant (p-value ≤ 0.05) static own-price elasticity estimates are -0.029 to -0.130, short-run -0.021 to -0.133 and long-run -0.043 to -0.214; (2) the size of these estimates varies by elasticity type, sample period, parametric specification, and assumption of partial adjustment; (3) erroneously ignoring the highly significant (p-value < 0.01) cross-section dependence does not materially alter these elasticity estimates; (4) these elasticity estimates vary by region though not season and their size has been slowly declining over time. Hence, price-induced conservation’s future effect on the US industrial electricity demand is likely small, justifying policy continuation of energy efficiency standards and demand side management programs for deep decarbonization.
The emojification of sentiment on social media: Collection and analysis of a longitudinal Twitter sentiment dataset

Social media, as a means for computer-mediated communication, has been extensively used to study the sentiment expressed by users around events or topics. There is however a gap in the longitudinal study of how sentiment evolved in social media over the years. To fill this gap, we develop TM-Senti, a new large-scale, distantly supervised Twitter sentiment dataset with over 184 million tweets and covering a time period of over seven years. We describe and assess our methodology to put together a large-scale, emoticon- and emoji-based labelled sentiment analysis dataset, along with an analysis of the resulting dataset. Our analysis highlights interesting temporal changes, among others in the increasing use of emojis over emoticons. We publicly release the dataset for further research in tasks including sentiment analysis and text classification of tweets. The dataset can be fully rehydrated including tweet metadata and without missing tweets thanks to the archive of tweets publicly available on the Internet Archive, which the dataset is based on.
Obesity-related indices are associated with albuminuria and advanced kidney disease in type 2 diabetes mellitus

Abstract Obesity is an important risk factor for the development of diseases including diabetes, hypertension, and cardiovascular disease. However, few reports have investigated the relationships between these obesity-related indices and diabetic nephropathy. The aim of this study was to evaluate associations between obesity-related markers with albuminuria and advanced kidney disease in patients with type 2 diabetes mellitus (DM). Obesity-related indices including body mass index (BMI), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), body roundness index (BRI), conicity index (CI), lipid accumulation product (LAP), visceral adiposity index (VAI), body adiposity index (BAI), abdominal volume index (AVI), body shape index (BSI), and triglyceride glucose (TyG) index were measured. Albuminuria was defined as a urine albumin/creatinine ratio of ≥30 mg/g. Advanced kidney disease was defined as an estimated glomerular filtration rate (eGFR) <30 ml/min/1.73 m2. A total of 1872 patients with type 2 DM (mean age 64.0 ± 11.3 years, 809 males and 1063 females) were enrolled. In multivariable analysis, 11 high obesity-related indices (BMI, WHR, WHtR, LAP, BRI, CI, VAI, BAI, AVI, ABSI, and TyG index) were significantly associated with albuminuria. In addition, high BMI, WHR, WHtR, LAP, BRI, CI, VAI, and AVI were significantly associated with eGFR <30 ml/min/1.73 m2. The results of this study showed that various obesity-related indices were significantly associated with albuminuria and advanced kidney disease in patients with type 2 DM. Screening may be considered in public health programs to recognize and take appropriate steps to prevent subsequent complications.
Accuracy of Transvaginal Ultrasound in the Diagnosis of Intrauterine Lesions

Abstract Objective To evaluate the accuracy of transvaginal ultrasound in the diagnosis of intrauterine lesions, using hysteroscopy as the gold standard. Methods This was a prospective observational study with 307 patients. All patients underwent hysteroscopy after a previous transvaginal ultrasound to compare the results. The hysteroscopy was performed by experienced examiners, and transvaginal ultrasounds were performed in various public and private services, which is reflective of routine healthcare practices in obstetrics and gynecology. The sensitivity, specificity, and accuracy of the transvaginal ultrasound were calculated using hysteroscopy as the gold standard. The level of agreement between the two exams was calculated using the Kappa test. Results The mean age was 56.55 ± 12.3 years. For endometrial polyps, we observed a sensitivity of 39.8%, specificity of 72.7%, accuracy of 52.8%, and Kappa index of 0.11 (p = 0.025). For fibroids, the sensitivity was 46.7%, specificity was 95.0%, accuracy was 87.9%, and Kappa index was 0.46 (p < 0.001). For endometrial thickening, the sensitivity was 68.7%, specificity was 41.7%, accuracy was 47.6%, and Kappa index was 0.06 (p = 0.126). For endometrial atrophy, we found a sensitivity of 6.7%, specificity of 99.3%, accuracy of 90.2%, and Kappa index of 0.10 (p = 0.006). For the other findings, the sensitivity was 15.6%, specificity was 99.6%, accuracy was 87.3%, and Kappa index was 0.23 (P < 0.001). Conclusion Our study demonstrated a low level of accuracy of transvaginal ultrasound for the diagnosis of endometrial lesions, when performed by a non-experienced professional. Thus, it is important to consider the use of hysteroscopy to avoid unnecessary and inappropriate treatments.
Prognostic Value of 3 Nutritional Screening Tools to Predict 30-Day Outcome in Patients Undergoing Carotid Artery Stenting

The effect of malnutrition on outcomes after carotid artery stenting (CAS) is not well known. This study reports the relationship between malnutrition and post-procedure 30-day major adverse events (MAEs). A total of 978 patients hospitalized for CAS were enrolled in the study. Controlling nutritional status (CONUT) score, the nutritional risk index (NRI), and the prognostic nutritional index (PNI) were calculated. MAEs (myocardial infarction, stroke/transient ischemic attack and mortality) were compared. According to the CONUT score, NRI, and PNI, 9.4%, 41%, and 11.4% patients were moderately or severely malnourished, respectively; 74.8% were at least mildly malnourished by at least 1 score. Forty-seven patients (4.8%) had a post-procedure 30-day MAE. Continuous classifications of the indexes were independently associated with higher MAE. CONUT showed the highest predictive ability, whereas NRI had the lowest (C-index: CONUT, 0.701; NRI, 0.681; PNI, 0.688). According to categorical classification of indexes, only CONUT and PNI showed predictive ability for MAE. Malnutrition assessment could identify patients with CAS at elevated risk for MAE. CONUT, NRI, and PNI continuous scores were independent prognostic factors for the post-procedure 30-day MAE. According to our study, CONUT showed the highest predictive ability.
Effect of Brand Image on Consumer Buying Behaviour

Branding may be a set of selling and communication methods that help to differentiate a corporation or products from competitors, getting to create an enduring impression within the minds of consumers. In the competitive market a corporation can make significant impact on business environments through the creation of their own brand. This study aims at evaluating the effect of brand image on consumer buying behavior. Branding is an important marketing term which has been discussed and researched over the years. This research helps us to enhance the in-depth knowledge about brand image and what are the process from which the customer goes through while purchasing a product. Based on the brand image theories, this study reviewed a number of studies about the impact of brand image on consumer buying behavior. It also states the limitations of the study. The results of the study shows that brand image has significant and positive relationships with consumer buying behavior.
Associations between Polymorphisms in Phase II Enzymes and Circulating Sex-Steroid Hormones in White Postmenopausal Women

Objectives The purpose of this cross-sectional study was to examine whether single nucleotide polymorphisms (SNPs) in enzymes that metabolize sex steroid hormones were associated with the blood levels of these hormones in postmenopausal women and if the use of menopausal hormone therapy (MHT) could modify this association. Methods Baseline data were collected from 932 postmenopausal women enrolled in the Minnesota Green Tea Trial. Participants filled out a questionnaire about their demographics, lifestyle factors, and medical and reproductive history. Free, bioavailable, and total serum levels of reproductive hormones were measured through liquid chromatography/tandem mass spectrometry. For genotyping of UGT1A1 (rs10928303), UGT1A4 (rs10929301, rs11673726), UGT1A6 (rs1105879, rs2070959, rs6759892), UGT1A8 (rs10167119), UGT2B7 (rs7439366), and SULT1A1 (rs9282861, rs1968752), mass spectrometry based on multiplex methods and TaqMan assays were performed. Adjusted linear models were fit to assess the associations between SNPs and blood hormones using age, body mass index (BMI), and MHT as covariates. Results The mean age was 59.8 years, and the mean BMI was 25.1 kg/m2. Past or recent use of MHT was reported by 41.2% of the participants. SNPs in SULT1A1 (rs1968752 and rs9282861) and UGT1A4 (rs11673726) genes were significantly associated with estrone levels, whereas SNPs in UGT1A6 (rs6759892) and UGT1A8 (rs10167119) genes were significantly associated with bioavailable estradiol levels. Conclusions There was no evidence that MHT use modified the association between SNPs and sex-steroid hormone levels; however, further studies are needed to establish the potential clinical significance of UGT1A4 (rs11673726), UGT1A6 (rs6759892), and UGT1A8 (rs10167119) SNPs and the modulation of hormone levels in postmenopausal women.
Dynamic and static charging processes of single molecules - A scanning probe study

This thesis describes the investigation of fundamental properties of molecules in the tunnelling junction using combined scanning tunneling (STM) and atomic force microscopy (AFM). In this work, five different experimental topics are addressed. A reduction of the single-particle level spacing of two frontier orbitals enables the manifestation of strong electron-correlation effects in single molecules. In this regime conduction exhibits a spatial signature fundamentally different from what a single particle picture would predict. Individual molecules at the edges of self-assembled islands temporarily change their charge state due to the presence of the electric field from a scanning-probe tip. Close to the threshold voltage for a charge state transition, periodic switching of the charge is directly driven by the cantilever motion in frequency-modulated AFM. A novel concept for the realization of molecular quantum cellular automata is demonstrated. The solution lies in the combination of the creation of perfectly aligned inactive cells by self-assembly as a first and their selective and controlled activation as a second step. A real space investigation of a singly charged molecules adsorbed on an ultrathin insulating film reveals a two-level system that can reversibly change between configurations, resembling the motion of a rocker switch. Selective intermolecular aryl-aryl coupling via dehydrogenative C-H activation occurs on the surface upon thermal annealing. A full atomistic description of the different reaction products based on an unambiguous discrimination between pyrazine and pyridine moieties is presented.
Immunochemistry-Based Diagnosis of Extrapulmonary Tuberculosis: A Strategy for Large-Scale Production of MPT64-Antibodies for Use in the MPT64 Antigen Detection Test

Tuberculosis (TB) is a global health problem. The immunohistochemistry (IHC)-based MPT64 antigen detection test has shown promising results for diagnosing extrapulmonary TB in previous studies. However, the anti-MPT64 antibody currently used in the test is in limited supply, and reproduction of a functional antibody is a prerequisite for further large-scale use. Various antigen-adjuvant combinations and immunisation protocols were tested in mice and rabbits to generate monoclonal and polyclonal antibodies. Antibodies were screened in IHC, and the final new antibody was validated on clinical human specimens. We were not able to generate monoclonal antibodies that were functional in IHC, but we obtained multiple functional polyclonal antibodies through careful selection of antigen-adjuvant and comprehensive screening in IHC of both pre-immune sera and antisera. To overcome the limitation of batch-to-batch variability with polyclonal antibodies, the best performing individual polyclonal antibodies were pooled to one final large-volume new anti-MPT64 antibody. The sensitivity of the new antibody was in the same range as the reference antibody, while the specificity was somewhat reduced. Our results suggest that it possible to reproduce a large-volume functional polyclonal antibody with stable performance, thereby securing stable supplies and reproducibility of the MPT64 test, albeit further validation remains to be done.
Planning for the Complexity of Addressing Population Health Issues

Population health is complex. The plans that often accompany addressing population health issues will frequently fall short if the planning, design and implementation does not account for that complexity. Planning for population health should include three core components. These core components consist of a theory of change model, a systemic framework needed for change to occur and a vehicle to deliver/facilitate the change.
Active Ornstein–Uhlenbeck model for self-propelled particles with inertia

Self-propelled particles, which convert energy into mechanical motion, exhibit inertia if they have a macroscopic size or move inside a gaseous medium, in contrast to micron-sized overdamped particles immersed in a viscous fluid. Here we study an extension of the active Ornstein–Uhlenbeck model, in which self-propulsion is described by colored noise, to access these inertial effects. We summarize and discuss analytical solutions of the particle’s mean-squared displacement and velocity autocorrelation function for several settings ranging from a free particle to various external influences, like a linear or harmonic potential and coupling to another particle via a harmonic spring. Taking into account the particular role of the initial particle velocity in a nonstationary setup, we observe all dynamical exponents between zero and four. After the typical inertial time, determined by the particle’s mass, the results inherently revert to the behavior of an overdamped particle with the exception of the harmonically confined systems, in which the overall displacement is enhanced by inertia. We further consider an underdamped model for an active particle with a time-dependent mass, which critically affects the displacement in the intermediate time-regime. Most strikingly, for a sufficiently large rate of mass accumulation, the particle’s motion is completely governed by inertial effects as it remains superdiffusive for all times.
Harmonic Radar With Adaptively Phase-Coherent Auxiliary Transmitters

In harmonic radar (HR), the transmitter illuminates a nonlinear target (the tag), causing the return signal to consist of harmonics at multiples of the transmitted carrier frequency. Of them, the second harmonic is usually the strongest and the one to which the receiver is tuned. This frequency difference distinguishes the tag reflection from environmental clutter, which remains at the illuminating frequency. However, the passive nature of HR tags severely limits the reflected power, and therefore the operational range of a HR system. We propose to increase the range and/or signal to noise ratio (SNR) by novel restructuring at the physical and signal levels. For this, we accompany the original transmitter with auxiliary transmitters able to send simple tones that are synchronized to arrive at the tag in phase, and we design the receiver to detect an intermodulation component. The resulting range and SNR are much greater than those of the original, conventional HR system, even if the original system were to transmit with power equal to the aggregate power of the proposed system. Achieving mutually coherent, (in phase), arrival of the tones at the tag is the focus of the present paper. We provide a system framework that models the tag, then present the adaptive phase coherence algorithm and analyze the probabilistic growth of the output signal power. We also account for the effects of frequency shifts due to transmitter mobility and the frequency offset errors in the transmitter local oscillators.
Factors Affecting In-stent Restenosis in Patients Undergoing Percutaneous Coronary Angioplasty

Percutaneous coronary angioplasty (PCI) and stent implantation are the most common therapeutic strategies for coronary artery stenosis; however, in-stent restenosis (ISR) is one of its important challenges. Although in some studies, coronary artery disease (CAD) factors are deemed to be the causes of ISR, in some others, the relationship between CAD factors and ISR are not observed. Over the past ten years, there has been no review article on factors affecting the ISR. This article aimed to review the possible factors affecting ISR in patients undergoing PCI. This narrative review study was conducted on PubMed, Web of Science, Scopus, and Google Scholar databases between 1 January 1990 and 30 July 2017. After initial screening of 1728 retrieved articles, 1401 articles were excluded to due irrelevancy to the review; and finally, 39 papers were selected for data collection. Our study results showed that the site and length of implanted stent, hypertension and diabetes are the most probable factors affecting ISR. Further studies are required for evaluation of the effect of other possible risk factors such as genetic sequencing, obesity, chronic infections and hemoglobin A1C levels.
Spinal hematoma after total knee arthroplasty: a case report

Abstract Spinal anesthesia is a common procedure performed in orthopedic surgery, and it is regarded as secure and safe. Although puncture-related complication of spinal anesthesia has a very low incidence, it would lead to dramatic neurological damage (tetra- or paraplegia). Early diagnosis and surgical decompression are mandatory to promote a better outcome. We present a case of acute spinal hematoma from T11 to L3, triggered by laborious anesthesia puncture after total knee arthroplasty. A prompt surgical decompression within few hours after diagnosis allowed rapid functional recovery and avoided permanent paraplegia.
Short- and long-term predictions of chaotic flows and extreme events: a physics-constrained reservoir computing approach

We propose a physics-constrained machine learning method—based on reservoir computing—to time-accurately predict extreme events and long-term velocity statistics in a model of chaotic flow. The method leverages the strengths of two different approaches: empirical modelling based on reservoir computing, which learns the chaotic dynamics from data only, and physical modelling based on conservation laws. This enables the reservoir computing framework to output physical predictions when training data are unavailable. We show that the combination of the two approaches is able to accurately reproduce the velocity statistics, and to predict the occurrence and amplitude of extreme events in a model of self-sustaining process in turbulence. In this flow, the extreme events are abrupt transitions from turbulent to quasi-laminar states, which are deterministic phenomena that cannot be traditionally predicted because of chaos. Furthermore, the physics-constrained machine learning method is shown to be robust with respect to noise. This work opens up new possibilities for synergistically enhancing data-driven methods with physical knowledge for the time-accurate prediction of chaotic flows.
Dynamic changes in tumor immunity in a case of cutaneous angiosarcoma with recurrent lesions

Dear Editor, Immune checkpoint inhibitors (ICI), including programmed death 1 (PD1) blockers, are reportedly effective for the treatment of cutaneous angiosarcoma (CAS). 1 Still, the antitumor immune response and efficacy of immunotherapy in CAS remain uncertain. We recently reported that the presence of tertiary lymphoid structures (TLS) in CAS could be a useful prognostic factor.2 It was also reported that ICI are highly effective in the presence of TLS.3 Here, we report a case of CAS with dynamic changes in the number of TLS from the primary lesion to multiple recurrent lesions. The patient, an 81yearold man, was diagnosed with CAS by a skin biopsy obtained from a subcutaneous lesion in the right supraclavicular fossa (Figure 1a). Immunohistochemical staining of the tumor cells revealed positivity for CD31 and D240 and focal positivity for CD34. After resection of the lesion, the patient was followed without chemotherapy or radiation therapy at the patient’s request, but local recurrence occurred repeatedly. Two years after resection of the primary tumor, the lesion recurred in the left anterior chest, followed by recurrence in the left neck the following year, and recurrence in the left cervical lymph node the year after that. All recurrent lesions were surgically resected. Two years later,
Progress in child stunting across the world from 1990 to 2015: testing the global convergence hypothesis

Abstract Objective: This study has two-fold objectives: first, to test the global convergence hypothesis in the progress of child stunting across 174 countries over the period 1990–2015; second, to identify factors determining the process of convergence or divergence. Design: The study design comprises macro-level cross-country analyses. Our empirical strategy uses parametric convergence models such as absolute and conditional β-convergence models, while non-parametric convergence models such as Kernel density plots serve as robustness checks. Setting: The study uses a global setting comprising child stunting information from 174 countries. Participants: The participants for this study are 174 countries. The information on child stunting prevalence for most countries is available from the UNICEF-WHO-WB Joint Child Malnutrition Estimates Expanded Database (April-2019), while national-level surveys are used for those countries where UNICEF-WHO-WB Database is not available. The data for socio-economic variables are taken from the World Bank’s data bank (1990–2015). Results: Findings from the absolute β-convergence model estimates show that progress in child stunting has diverged over the entire period (1990–2015). However, the speed of divergence has reduced for the recent period (2010–2015). The conditional β-convergence model estimates show that cross-country heterogeneity in GDP per capita, poverty and health care expenditure are significant factors explaining divergence in child stunting. Conclusions: For replacing current divergence with convergence in child stunting worldwide, the study demonstrates the critical role of economic factors and public spending on health care to reduce child stunting, particularly in countries where progress is slow.