Miracle-dz/UniFAR-FTUs huggingface dataset:
Online Stochastic Optimization for Unknown Linear Systems: Data-Driven Synthesis and Controller Analysis

This paper proposes a data-driven control framework to regulate an unknown, stochastic linear dynamical system to the solution of a (stochastic) convex optimization problem. Despite the centrality of this problem, most of the available methods critically rely on a precise knowledge of the system dynamics (thus requiring off-line system identification and model refinement). To this aim, in this paper we first show that the steady-state transfer function of a linear system can be computed directly from control experiments, bypassing explicit model identification. Then, we leverage the estimated transfer function to design a controller -- which is inspired by stochastic gradient descent methods -- that regulates the system to the solution of the prescribed optimization problem. A distinguishing feature of our methods is that they do not require any knowledge of the system dynamics, disturbance terms, or their distributions. Our technical analysis combines concepts and tools from behavioral system theory, stochastic optimization with decision-dependent distributions, and stability analysis. We illustrate the applicability of the framework on a case study for mobility-on-demand ride service scheduling in Manhattan, NY.
Phonon-assisted carrier cooling in h-BN/graphene van der Waals heterostructures

Being used in optoelectronic devices as ultra-thin conductor-insulator junctions, detailed investiga-tions are needed about how exactly h -BN and graphene hybridize. Here, we present a comprehensive ab initio study of hot carrier dynamics governed by electron-phonon scattering at the h -BN/graphene interface, using graphite (bulk), monolayer and bilayer graphene as benchmark materials. In contrast to monolayer graphene, all multilayer structures possess low-energy optical phonon modes that facilitate carrier thermalization. We ﬁnd that the h -BN/graphene interface represents an exception with a comparatively weak coupling between low-energy optical phonons and electrons. As a con-sequence, the thermalization bottleneck eﬀect, known from graphene, survives hybridization with h -BN, but is substantially reduced in all other bilayer and multilayer cases considered. In addition, we show that the quantum conﬁnement in bilayer graphene does not have a signiﬁcant inﬂuence on the thermalization time compared to graphite and that bilayer graphene can hence serve as a minimal model for the bulk counterpart.
DropAttack: A Masked Weight Adversarial Training Method to Improve Generalization of Neural Networks

Adversarial training has been proven to be a powerful regularization method to improve the generalization of models. However, current adversarial training methods only attack the original input sample or the embedding vectors, and their attacks lack coverage and diversity. To further enhance the breadth and depth of attack, we propose a novel masked weight adversarial training method called DropAttack, which enhances generalization of model by adding intentionally worst-case adversarial perturbations to both the input and hidden layers in different dimensions and minimize the adversarial risks generated by each layer. DropAttack is a general technique and can be adopt to a wide variety of neural networks with different architectures. To validate the effectiveness of the proposed method, we used five public datasets in the fields of natural language processing (NLP) and computer vision (CV) for experimental evaluating. We compare the proposed method with other adversarial training methods and regularization methods, and our method achieves state-of-the-art on all datasets. In addition, Dropattack can achieve the same performance when it use only a half training data compared to other standard training method. Theoretical analysis reveals that DropAttack can perform gradient regularization at random on some of the input and wight parameters of the model. Further visualization experiments show that DropAttack can push the minimum risk of the model to a lower and flatter loss landscapes. Our source code is publicly available on https://github.com/nishiwen1214/DropAttack.
From General to Specific: Informative Scene Graph Generation via Balance Adjustment

The scene graph generation (SGG) task aims to detect visual relationship triplets, i.e., subject, predicate, object, in an image, providing a structural vision layout for scene understanding. However, current models are stuck in common predicates, e.g., "on" and "at", rather than informative ones, e.g., "standing on" and "looking at", resulting in the loss of precise information and overall performance. If a model only uses "stone on road" rather than "blocking" to describe an image, it is easy to misunderstand the scene. We argue that this phenomenon is caused by two key imbalances between informative predicates and common ones, i.e., semantic space level imbalance and training sample level imbalance. To tackle this problem, we propose BA-SGG, a simple yet effective SGG framework based on balance adjustment but not the conventional distribution fitting. It integrates two components: Semantic Adjustment (SA) and Balanced Predicate Learning (BPL), respectively for adjusting these imbalances. Benefited from the model-agnostic process, our method is easily applied to the state-of-the-art SGG models and significantly improves the SGG performance. Our method achieves 14.3%, 8.0%, and 6.1% higher Mean Recall (mR) than that of the Transformer model at three scene graph generation sub-tasks on Visual Genome, respectively. Codes are publicly available1.
A Lightweight Machine Learning Assisted Power Optimization for Minimum Error in NOMA-CRS Over Nakagami-$m$ Channels

Non-orthogonal multiple access based cooperative relaying system (NOMA-CRS) has been proposed to alleviate the decay in spectral efficiency of the conventional CRS. However, existing NOMA-CRS studies assume perfect successive interference canceler at the relay and mostly investigate sum rate whereas the error performance has not been taken into consideration. In this paper, we analyze error performance of the NOMA-CRS and the closed-form bit error probability (BEP) expression is derived over Nakagami-m fading channels. Then, thanks to the high performance of machine learning (ML) in challenging optimization problems, a joint power sharing-power allocation (PS-PA) scheme is proposed to minimize the bit error rate (BER) of the NOMA-CRS. The proposed ML-assisted optimization has a very low online implementation complexity. Based on provided extensive simulations, theoretical BEP analysis is validated. Besides, the proposed ML-aided PS-PA provides minimum BER (MBER) and outperforms previous PA strategies for the NOMA-CRS notably.
Exploring supervision for volunteer community health workers in Mukono District, Uganda: An exploratory mixed-methods study

ABSTRACT Community Health Worker (CHW) supervision is an under-researched area. This mixed-methods study engaged key stakeholders involved in CHW supervision in Mukono District, Uganda including CHWs (n = 14), District Health Office officials (n = 5), NGO programme managers (n = 3) and facility-based health staff (n = 3). Our study aimed to explore how supervision is currently conceptualised and delivered in this setting, the desired qualities of a potential supervisor, as well as the challenges regarding supervision and potential solutions to address these. To understand these concepts, we conducted structured surveys and individual interviews. Survey data were analysed in SPSS using descriptive statistics. Interview transcripts were thematically analysed in NVivo using conventional content analysis. This study revealed current CHW supervision in this context is fragmented. Supervision is perceived both as a means of motivating CHWs and facilitating ongoing training, as well as a way of holding CHWs accountable for their work. Stakeholders identified technical knowledge and expertise, strong interpersonal skills and cultural awareness as desirable qualities for a supervisor. Challenges surrounding supervision included a shortage of funding, a lack of guidelines on supervision, and infrequent supervision. To address these challenges, stakeholders proposed the need for increased funding, creating clearer job descriptions for supervisors, and in-person supervisory meetings.
Evaluation of the role of soluble B7-H3 in association with membrane B7-H3 expression in gastric adenocarcinoma.

BACKGROUND AND OBJECTIVE Gastric adenocarcinoma (GAC) is one of the most common malignancies. Increasing data have indicated a correlation between soluble B7-H3 (sB7-H3) levels and tumor malignancies. In this study, we aim to investigate the level of soluble B7-H3 in serum of GAC patients. Further, we analyze the correlation between sB7-H3 level and tissue B7-H3 expression and explore the clinical evaluation value of sB7-H3 associated with pathological characteristics and prognosis of GAC patients. METHODS One hundred and twenty-eight serum and tissue samples of GAC 20 serum and tissue samples of gastritis patients and 77 serum, 5 tissue samples of healthy controls were collected. The serum levels of sB7-H3 were detected by Enzyme-linked immunosorbent assay (ELISA), while the expression of membrane B7-H3 (mB7-H3) and Ki67 were evaluated by immunohistochemistry. The correlation between sB7-H3 and mB7-H3, sB7-H3 and Ki67, sB7-H3 or mB7-H3 and clinical features were analyzed by Pearson's Chi-square test. RESULTS Both serum level of sB7-H3 and tissue B7-H3 of GAC patients were significantly higher than those of gastritis patients and healthy controls. sB7-H3 level was correlated with total B7-H3 expression in tissues (r= 0.2801, P= 0.0014). Notably, the concentration of sB7-H3 was correlated with its expression of membrane form in tumor cells (r= 0.3251, P= 0.002) while not in stromal cells (r= 0.07676, P= 0.3891). Moreover, the levels of sB7-H3 in patients with TNM stage III/IV or with Infiltration depth T3/T4 or with lymph node metastasis were significantly higher than those of patients with TNM stage I/II (P= 0.0020) or with Infiltration depth T1/T2 (P= 0.0169) or with no lymph node metastasis (P= 0.0086). Tumor B7-H3 score, but not stromal B7-H3 score, in patients with TNM stage III/IV or with lymph node metastasis was significantly higher than those with TNM stage I/II (P= 0.0150) or with no lymph node metastasis (P= 0.182). CONCLUSIONS Soluble B7-H3 level may reflect the tissue B7-H3 expression on tumor cells of GAC tissues. Elevated level of sB7-H3 in serum suggests poor clinical pathological characteristics of GAC patients.
Effects of Device Limitations on Acquisition of the /t/-/k/ Contrast in Children With Cochlear Implants

Objectives: The present study investigated how development of the /t/-/k/ contrast is affected by the unique perceptual constraints imposed on young children using cochlear implants (CIs). We hypothesized that children with CIs would demonstrate unique patterns of speech acquisition due to device limitations, rather than straightforward delays due to a lack of auditory input in the first year of life before implantation. This study focused on the contrast between /t/ and /k/ because it is acquired early in the sequence of development, requires less advanced motor control than later-acquired place contrasts, is differentiated by spectral cues (which are particularly degraded when processed by CIs), and is not easily differentiated by visual cues alone. Furthermore, perceptual confusability between /t/ and /k/ may be exacerbated in front-vowel contexts, where the spectral energy for /k/ is shifted to higher frequencies, creating more spectral overlap with /t/. Design: Children with CIs (n = 26; ages 31 to 66 mo) who received implants around their first birthdays were matched to peers with normal hearing (NH). Children participated in a picture-prompted auditory word-repetition task that included over 30 tokens of word-initial /t/ and /k/ consonants. Tokens were balanced across front-vowel and back-vowel contexts to assess the effects of coarticulation. Productions were transcribed and coded for accuracy as well as the types of errors produced (manner of articulation, voicing, or place of articulation errors). Centroid frequency was also calculated for /t/ and /k/ tokens that were produced correctly. Mixed-effects models were used to compare accuracy, types of errors, and centroid frequencies across groups, target consonants, and vowel contexts. Results: Children with CIs produced /t/ and /k/ less accurately than their peers in both front- and back-vowel contexts. Children with CIs produced /t/ and /k/ with equal accuracy, and /k/ was produced less accurately in front-vowel contexts than in back-vowel contexts. When they produced errors, children with CIs were more likely to produce manner errors and less likely to produce voicing errors than children with NH. Centroid frequencies for /t/ and /k/ were similar across groups, except for /k/ in front-vowel contexts: children with NH produced /k/ in front-vowel contexts with higher centroid frequency than children with CIs, and they produced /k/ and /t/ with equal centroid frequencies in front-vowel contexts. Conclusions: Children with CIs not only produced /t/ and /k/ less accurately than peers with NH, they also demonstrated idiosyncratic patterns of acquisition, likely resulting from receiving degraded and distorted spectral information critical for differentiating /t/ and /k/. Speech-language pathologists should consider perceptual confusability of consonants (and their allophonic variations) during their assessment and treatment of this unique population of children.
A People‐Focused Systems Approach to Sustainability

Abstract Creating organizations that promote human and ecological flourishing (i.e., sustainability) is a key challenge for contemporary societies. Here, we offer a people‐focused systems approach to organizational sustainability based on an action research project conducted at Western Springs College/Ngā Puna O Waiōrea, a bicultural high school in Aotearoa New Zealand. The project ran from 2008 to 2018 and drew on the values and skills of community psychology and environmental education to build what we call a “sustainable social system” (SSS). In 2018/19, we conducted interviews with 23 key people involved in sustainability efforts at the school and analyzed the minutes of 46 meetings of the school’s Sustainability Panel. We used a complex systems approach to produce a map of the core people, purpose, infrastructure, and activities components and sub‐systems in the SSS, as well as its emergent properties of a sustainability culture and identities. We describe the historical trajectory of the SSS and discuss seven features that we consider of particular significance in contributing to its growth and resilience. We then offer steps toward a people‐focused SSS led by insiders with sustainability values. These include establishing a democratic and inclusive sustainability network, and attempting to integrate sustainability with the organization’s essential activities.
Glucocerebrosidase Mutations and Motor Reserve in Parkinson's Disease.

BACKGROUND The concept of motor reserve explains the individual differences in motor deficits despite similar degrees of nigrostriatal dopamine depletion in Parkinson's disease (PD). OBJECTIVE To investigate glucocerebrosidase (GBA) variants as potential determinants of motor reserve for exploratory purposes. METHODS A total of 408 patients with drug-naïve PD were enrolled from the Parkinson's Progression Markers Initiative cohort database. All patients underwent SPECT dopamine transporter (DAT) scans and had results for Sanger sequencing of GBA. Parkinsonian motor deficits were assessed using the Movement Disorders Society Unified Parkinson's Disease Rating Scale Part III (MDS-UPDRS-III). We compared MDS-UPDRS-III scores while adjusting for DAT availability in the putamen (i.e., motor reserve) between the PD groups according to the presence of GBA mutations. RESULTS Fifty-four (13.2%) patients carried GBA mutations. PD patients with GBA mutations were younger than those without mutations. There were no significant differences in sex, disease duration, years of education, and striatal DAT availability between the PD groups. PD patients with GBA mutations had higher MDS-UPDRS-III scores for the less affected side than those without mutations, despite similar levels of DAT availability in the contralateral putamen. The MDS-UPDRS-III sub-scores of the more affected side did not differ between the two PD groups. CONCLUSION The results of this study demonstrated the detrimental effect of GBA variants on individual capacity to cope with PD-related pathologies, with different impacts depending on the motor laterality.
Redo Surgical Mitral Valve Replacement Versus Transcatheter Mitral Valve in Valve From the National Inpatient Sample

Background Redo mitral valve surgery is required in up to one‐third of patients and is associated with significant mortality and morbidity. Valve‐in‐valve transcatheter mitral valve replacement (ViV TMVR) is less invasive and could be considered in those at prohibitive surgical risk. Studies on comparative outcomes of ViV TMVR and redo surgical mitral valve replacement (SMVR) remain limited. Our study aimed to investigate the real‐world outcomes of the above procedures using the National Inpatient Sample database. Methods and Results We analyzed National Inpatient Sample data using the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD‐10‐CM) from September 2015 to December 2018. A total of 495 and 2250 patients underwent redo ViV TMVR and SMVR, respectively. The patients who underwent ViV TMVR were older (77 versus 68 years, P<0.01). Adjusted mortality was higher in the redo SMVR group compared with the ViV TMVR group (7.6% versus <2.8%, P<0.01). Perioperative complications were higher among patients undergoing redo SMVR including blood transfusions (38% versus 7.6%, P<0.01) and acute kidney injury (36.7% versus 13.9%, P<0.01). Cost of care was higher (USD$57 172 versus USD$52 579, P<0.01), length of stay was longer (10 versus 3 days, P<0.01), and discharge to home was lower (20.3% versus 64.6%, P<0.01) in the SMVR group compared with the ViV TMVR group. Conclusions ViV TMVR is associated with lower mortality, periprocedural morbidity, and resource use compared with patients undergoing redo SMVR. ViV TMVR may be a viable option for some patients with mitral prosthesis dysfunction. Studies evaluating long‐term outcomes and durability of ViV TMVR are needed. A patient‐centered approach by the heart team, local institutional expertise, and careful preprocedure planning can help decision‐making about the choice of intervention for the individual patient.
Relationship Between Perceived Risks of Using mHealth Applications and the Intention to Use Them Among Older Adults in the Netherlands: Cross-sectional Study

Background Considering the increasing demand for health services by older people and the ongoing COVID-19 pandemic, digital health is commonly viewed to offer a pathway to provide safe and affordable health services for older adults, thus enabling self-management of their health while health care systems are struggling. However, several factors cause older people to be particularly reluctant to adopt digital health technologies such as mobile health (mHealth) tools. In addition to previously studied technology acceptance factors, those related to perceived risks of mHealth use (eg, leakage of sensitive information or receiving incorrect health recommendations) may further diminish mHealth adoption by older adults. Objective The aim of this study was to explore the relationship between perceived risks of using mHealth applications and the intention to use these applications among older adults. Methods We designed a cross-sectional study wherein a questionnaire was used to collect data from participants aged 65 years and older in the Netherlands. Perceived risk was divided into four constructs: privacy risk, performance risk, legal concern, and trust. Linear regression analyses were performed to determine the associations between these perceived risk constructs and the intention to use mHealth applications. Results Linear regression per perceived risk factor showed that each of the four constructs is significantly associated with the intention to use mobile medical applications among older adults (adjusted for age, sex, education, and health status). Performance risk (β=–.266; P=<.001), legal concern (β=–.125; P=.007), and privacy risk (β=–.100; P=.03) were found to be negatively correlated to intention to use mHealth applications, whereas trust (β=.352; P=<.001) was found to be positively correlated to the intention to use mHealth applications. Conclusions Performance risk, legal concern, and privacy risk as perceived by older adults may substantially and significantly decrease their intention to use mHealth applications. Trust may significantly and positively affect this intention. Health care professionals, designers of mHealth applications, and policy makers can use these findings to diminish performance risks, and tailor campaigns and applications to address legal and privacy concerns and promote mHealth uptake and health care access for older adults, especially during the COVID-19 pandemic.