Miracle-dz/UniFAR-FTUs huggingface dataset:
Nonpharmacological interventions for ADHD: systematic review and meta-analyses of randomized controlled trials of dietary and psychological treatments.

OBJECTIVE Nonpharmacological treatments are available for attention deficit hyperactivity disorder (ADHD), although their efficacy remains uncertain. The authors undertook meta-analyses of the efficacy of dietary (restricted elimination diets, artificial food color exclusions, and free fatty acid supplementation) and psychological (cognitive training, neurofeedback, and behavioral interventions) ADHD treatments. METHOD Using a common systematic search and a rigorous coding and data extraction strategy across domains, the authors searched electronic databases to identify published randomized controlled trials that involved individuals who were diagnosed with ADHD (or who met a validated cutoff on a recognized rating scale) and that included an ADHD outcome. RESULTS Fifty-four of the 2,904 nonduplicate screened records were included in the analyses. Two different analyses were performed. When the outcome measure was based on ADHD assessments by raters closest to the therapeutic setting, all dietary (standardized mean differences=0.21-0.48) and psychological (standardized mean differences=0.40-0.64) treatments produced statistically significant effects. However, when the best probably blinded assessment was employed, effects remained significant for free fatty acid supplementation (standardized mean difference=0.16) and artificial food color exclusion (standardized mean difference=0.42) but were substantially attenuated to nonsignificant levels for other treatments. CONCLUSIONS Free fatty acid supplementation produced small but significant reductions in ADHD symptoms even with probably blinded assessments, although the clinical significance of these effects remains to be determined. Artificial food color exclusion produced larger effects but often in individuals selected for food sensitivities. Better evidence for efficacy from blinded assessments is required for behavioral interventions, neurofeedback, cognitive training, and restricted elimination diets before they can be supported as treatments for core ADHD symptoms.
Quantifying electric vehicle battery degradation from driving vs. V2G services

Concerns about electric vehicle (EV) battery degradation hinders the implementation of Vehicle-to-Grid(V2G) technology. In this paper, a methodology is proposed to quantify EV battery degradation from driving only vs. driving and V2G services, based on a semi-empirical lithium-ion battery degradation model. A detailed EV battery pack thermal model and EV powertrain model are utilized to capture the battery temperature and working parameters including current, internal resistance and state-of-charge (SOC). We use the proposed method to simulate the battery degradation of three EVs for ten years. Simulation results show that grid discharge at power rates typical for vehicle charging and discharging will have only minor effects on battery degradation in comparison to the degradation incurred from driving and calendar aging.
Volumetric equation development and carbon storage estimation of urban forest in Daejeon, Korea

ABSTRACT This study was performed to develop equations which are suitable for estimating carbon storage of urban forest in Daejeon, Korea and to evaluate carbon storage and sequestration of urban forest using developed equations. Among the urban forest, we only concern about the major street tree species (Platanus occidentalis, Ginko biloba, Zelkova serrata, Chionanthus retusa, and Acer pseudo-sieboldianum) which are planted alongside a road for vehicles as well as pedestrian in urban area. Developed equations showed R2 of 0.93 (Z. serrata), 0.67 (P. occidentalis), 0.96 (G. biloba), 0.93 (C. retusa), and 0.88 (A. pseudo-sieboldianum) when they were derived from diameter at breath height (DBH). Using the DBH-volume equation, the five street tree species (P. occidentalis, G. biloba, Z. serrata, C. retusa, and A. pseudo-sieboldianum), which account for 70% of total street trees in the Daejeon, stored about 4290 tons of carbon. Among the five street tree species, P. occidentalis constituted more than 50% of total stored carbon and followed by G. biloba. Based on the carbon storage, five street tree species can sequestrate 216 tons of carbon annually which means that 793 tons of carbon dioxide (CO2) removal from the air every year.
Stream-Oriented Network Traffic Capture and Analysis for High-Speed Networks

Intrusion detection, traffic classification, and other network monitoring applications need to analyze the captured traffic beyond the network layer to allow for connection-oriented analysis, and achieve resilience to evasion attempts based on TCP segmentation. Existing network traffic capture frameworks, however, provide applications with raw packets and leave complex operations like flow tracking and TCP stream reassembly to application developers. This gap, between what applications need and what systems provide, leads to increased application complexity, longer development time, and most importantly, reduced performance due to excessive data copies between the packet capture subsystem and the stream processing module. This paper presents the Stream capture library (Scap), a network monitoring framework built from the ground up for stream-oriented traffic processing. Based on a kernel module that directly handles flow tracking and TCP stream reassembly, Scap delivers to user-level applications flow-level statistics and reassembled streams by minimizing data movement operations and discarding uninteresting traffic at early stages, while it inherently supports parallel processing on multi-core architectures, and uses advanced capabilities of modern network cards. Our experimental evaluation shows that Scap can capture all streams for traffic rates two times higher than other stream reassembly libraries. Finally, we present the implementation and performance evaluation of four popular network traffic monitoring applications built on top of Scap.
Assessment of Sarcopenia as a Predictor of Poor Outcomes After Esophagectomy in Elderly Patients With Esophageal Cancer

Objective:The objective of the study was to elucidate the impact of sarcopenia in elderly patients with esophageal cancer on postoperative complications and long-term survival after surgery for esophageal cancer. Summary Background Data:Sarcopenia, defined as loss of skeletal muscle mass with age, has been identified as a poor prognostic factor for malignancies. This retrospective study investigated the effect of sarcopenia on surgical outcomes among young and elderly patients with esophageal cancer. Methods:Data were collected for 341 consecutive patients who underwent esophagectomy for esophageal cancer. Patients were assigned to 2 groups according to age (younger than 65 years and 65 years or older) and the presence of sarcopenia. Results:Sarcopenia was present in 170 of 341 patients (49.9%) with esophageal cancer and in 74 of 166 elderly patients (44.6%). The incidence of anastomotic leak and in-hospital death was significantly higher in the elderly sarcopenia group than in the elderly nonsarcopenia group (31.5% vs 15.2%, P = 0.015, 6.8 vs 0.0%, P = 0.037, respectively), and the overall survival rate in patients with sarcopenia correlated with a significantly poor prognosis in the elderly group (P < 0.001). Multivariate analysis revealed that sarcopenia was a risk factor for an anastomotic leak (P = 0.034) and was an unfavorable prognostic factor for survival (P < 0.001). Those correlations between sarcopenia and surgical outcomes were not observed in the young group. Conclusions:Sarcopenia and worse surgical outcomes were significantly associated patients with in esophageal cancer aged 65 years and older but not in those younger than 65 years.
Solving a Dynamic and Stochastic Vehicle Routing Problem with a Sample Scenario Hedging Heuristic

The statement of the standard vehicle routing problem cannot always capture all aspects of real-world applications. As a result, extensions or modifications to the model are warranted. Here we consider the case when customers can call in orders during the daily operations; i.e., both customer locations and demands may be unknown in advance. This is modeled as a combined dynamic and stochastic programming problem, and a heuristic solution method is developed where sample scenarios are generated, solved heuristically, and combined iteratively to form a solution to the overall problem.
iTrails: Pay-as-you-go Information Integration in Dataspaces

Dataspace management has been recently identified as a new agenda for information management [17, 22] and information integration [23]. In sharp contrast to standard information integration architectures, a dataspace management system is a data-coexistence approach: it does not require any investments in semantic integration before querying services on the data are provided. Rather, a dataspace can be gradually enhanced over time by defining relationships among the data. Defining those integration semantics gradually is termed pay-as-you-go information integration [17], as time and effort (pay) are needed over time (go) to provide integration semantics. The benefits are better query results (gain). This paper is the first to explore pay-as-you-go information integration in dataspaces. We provide a technique for declarative pay-as-you-go information integration named iTrails. The core idea of our approach is to declaratively add lightweight 'hints' (trails) to a search engine thus allowing gradual enrichment of loosely integrated data sources. Our experiments confirm that iTrails can be efficiently implemented introducing only little overhead during query execution. At the same time iTrails strongly improves the quality of query results. Furthermore, we present rewriting and pruning techniques that allow us to scale iTrails to tens of thousands of trail definitions with minimal growth in the rewritten query size.
Antidiabetic and anticancer activities of Mangifera indica cv. Okrong leaves

Diabetes and cancer are a major global public health problem. Plant-derived agents with undesirable side-effects were required. This study aimed to evaluate antidiabetic and anticancer activities of the ethanolic leaf extract of Mangifera indica cv. Okrong and its active phytochemical compound, mangiferin. Antidiabetic activities against yeast α-glucosidase and rat intestinal α-glucosidase were determined using 1 mM of p-nitrophenyl-α-D-glucopyranoside as substrate. Inhibitory activity against porcine pancreatic α-amylase was performed using 1 mM of 2-chloro-4 nitrophenol-α-D-maltotroside-3 as substrate. Nitrophenol product was spectrophotometrically measured at 405 nm. Anticancer activity was evaluated against five human cancer cell lines compared to two human normal cell lines using 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide assay. Mango leaf extract and mangiferin exhibited dose-dependent inhibition against yeast α-glucosidase with the IC 50 of 0.0503 and 0.5813 mg/ml, respectively, against rat α-glucosidase with the IC 50 of 1.4528 and 0.4333 mg/ml, respectively, compared to acarbose with the IC 50 of 11.9285 and 0.4493 mg/ml, respectively. For anticancer activity, mango leaf extract, at ≥200 μg/ml showed cytotoxic potential against all tested cancer cell lines. In conclusion, mango leaf possessed antidiabetic and anticancer potential in vitro.
Global-genome Nucleotide Excision Repair Controlled by Ubiquitin/Sumo Modifiers

Global-genome nucleotide excision repair (GG-NER) prevents genome instability by excising a wide range of different DNA base adducts and crosslinks induced by chemical carcinogens, ultraviolet (UV) light or intracellular side products of metabolism. As a versatile damage sensor, xeroderma pigmentosum group C (XPC) protein initiates this generic defense reaction by locating the damage and recruiting the subunits of a large lesion demarcation complex that, in turn, triggers the excision of aberrant DNA by endonucleases. In the very special case of a DNA repair response to UV radiation, the function of this XPC initiator is tightly controlled by the dual action of cullin-type CRL4DDB2 and sumo-targeted RNF111 ubiquitin ligases. This twofold protein ubiquitination system promotes GG-NER reactions by spatially and temporally regulating the interaction of XPC protein with damaged DNA across the nucleosome landscape of chromatin. In the absence of either CRL4DDB2 or RNF111, the DNA excision repair of UV lesions is inefficient, indicating that these two ubiquitin ligases play a critical role in mitigating the adverse biological effects of UV light in the exposed skin.
Safety assessment of FDA-approved (orlistat and lorcaserin) anti-obesity medications

Introduction: Options for treating obesity remain limited despite it being a chronic, recurrent and morbid condition. New drugs that are proposed for its treatment encounter strong reluctance by regulatory agencies and many doctors. Areas covered: This review will focus on the safety of an older drug, orlistat (the only one still approved in the European Union) and a newer recently FDA-approved one, lorcaserin. Both are approved as long-term monotherapy for obesity in the United States of America and they have demonstrated median weight loss of nearly 3% over placebo. Expert opinion: Research, development and approval of new anti-obesity drugs are necessary for improved management of this chronic condition. Orlistat and lorcaserin are two FDA-approved drugs with limited overall efficacy. Nevertheless they are useful weapons for at least some obese individuals. Orlistat has a long and solid safety profile, whereas the safety of lorcaserin is still a matter of debate, mainly due to a lack of long-term data. However, lorcaserin’s selective agonism on 5HT2c serotonin receptors diminishes concerns about valvulopathy associated with other serotonin agonists, such as fenfluramine.
Multimodal Guitar: A Toolbox For Augmented Guitar Performances

This project aims at studying how recent interactive and interactions technologies would help extend how we play the guitar, thus dening the \ multimodal guitar". Our contributions target three main axes: audio analysis, gestural control and audio synthesis. For this purpose, we designed and developed a freely-available toolbox for augmented guitar performances, compliant with the PureData and Max/MSP environments, gathering tools for: polyphonic pitch estimation, fretboard visualization and grouping, pressure sensing, modal synthesis, innite sustain, rearranging looping and \smart" harmonizing.
Video quality based adaptive wireless video streaming to multiple users

The paper proposes a cross-layer approach for joint closed-loop control of wireless video transmission to multiple users. The approach allows joint adaptation of the multiple users source rates by maximizing the worst served user video quality, taking into account the characteristics of the video sources, channel conditions and user requirements. The controlling task is split in two parts: resource allocation between users and cross-layer optimization for each user. A novel simple algorithm for dynamic resource allocation between users is proposed in conjunction with single user rate control.
Therapeutic targeting of casein kinase 1δ in breast cancer

Casein kinase 1δ promotes breast tumorigenesis by activation of β-catenin and can be targeted in some breast cancers. New way to target breast cancer Casein kinase 1δ (CK1δ) is a protein that helps regulate a variety of cellular processes and is overexpressed in a large percentage of breast and other cancers. Rosenberg et al. show that CK1δ contributes to the growth of breast tumors by activating the Wnt signaling pathway, which is carcinogenic, and that it can be inhibited by RNA interference or by a small-molecule drug. Treatment with a small-molecule inhibitor of CK1δ, called SR-3029, was effective at reducing the growth of breast cancer in multiple mouse models without any signs of major toxicity, suggesting that this therapeutic approach may be a good candidate for testing in human patients. Identification of specific drivers of human cancer is required to instruct the development of targeted therapeutics. We demonstrate that CSNK1D is amplified and/or overexpressed in human breast tumors and that casein kinase 1δ (CK1δ) is a vulnerability of human breast cancer subtypes overexpressing this kinase. Specifically, selective knockdown of CK1δ, or treatment with a highly selective and potent CK1δ inhibitor, triggers apoptosis of CK1δ-expressing breast tumor cells ex vivo, tumor regression in orthotopic models of triple-negative breast cancer, including patient-derived xenografts, and tumor growth inhibition in human epidermal growth factor receptor 2–positive (HER2+) breast cancer models. We also show that Wnt/β-catenin signaling is a hallmark of human tumors overexpressing CK1δ, that disabling CK1δ blocks nuclear accumulation of β-catenin and T cell factor transcriptional activity, and that constitutively active β-catenin overrides the effects of inhibition or silencing of CK1δ. Thus, CK1δ inhibition represents a promising strategy for targeted treatment in human breast cancer with Wnt/β-catenin involvement.
13C-MFA delineates the photomixotrophic metabolism of Synechocystis sp. PCC 6803 under light- and carbon-sufficient conditions.

The central carbon metabolism of cyanobacteria is under debate. For over 50 years, the lack of α-ketoglutarate dehydrogenase has led to the belief that cyanobacteria have an incomplete TCA cycle. Recent in vitro enzymatic experiments suggest that this cycle may in fact be closed. The current study employed (13) C isotopomers to delineate pathways in the cyanobacterium Synechocystis sp. PCC 6803. By tracing the incorporation of supplemented glutamate into the downstream metabolites in the TCA cycle, we observed a direct in vivo transformation of α-ketoglutarate to succinate. Additionally, isotopic tracing of glyoxylate did not show a functional glyoxylate shunt and glyoxylate was used for glycine synthesis. The photomixotrophic carbon metabolism was then profiled with (13) C-MFA under light and carbon-sufficient conditions. We observed that: (i) the in vivo flux through the TCA cycle reactions (α-ketoglutarate → succinate) was minimal (<2%); (ii) the flux ratio of CO2 fixation was six times higher than that of glucose utilization; (iii) the relative flux through the oxidative pentose phosphate pathway was low (<2%); (iv) high flux through malic enzyme served as a main route for pyruvate synthesis. Our results improve the understanding of the versatile metabolism in cyanobacteria and shed light on their application for photo-biorefineries.
Fear of Floating and Social Welfare

This paper studies the welfare implications of financial stability and inflation stabilization as distinct monetary policy objectives. Introducing asymmetric aversion to exchange rate depreciation in the Barro-Gordon model mitigates inflation bias due to credibility problems. The net welfare impact of fear of floating depends on the economy's recent track record, the credibility of monetary policy, and the central bank's discount factor. It is shown that fear of floating is more appropriate for financially fragile developing countries with imperfectly credible monetary policy than for advanced economies.
Brain Emotional Learning Based Intelligent Controller for Nonlinear System

A novel intelligent control strategy based on brain emotional learning (BEL) model is investigated in the application of the attitude control of the unmanned aerial vehicle (UAV) in the paper. The UAV is in the flat flight under the disturbance of the wind. The BEL based intelligent controller (BELBIC), which is based on emotional learning process in amygdala-orbitofrontal (A-O) system of the mammalians brain, is proposed to develop the stability control performance of the UAV attitude loop. A control scheme of the UAV with nonlinear dynamic properties based on BELBIC is built up. The simulation results illustrate that the BELBIC has characteristics of good adaptability, strong robustness, and small computational cost, so that the BELBIC will be attractive in the control applications of real-time nonlinear systems.
Psychological Distress and Emotional Expression on Facebook

Social network sites (SNS) are a novel social environment for college students with psychological distress to connect with their peers, but the nature and effects of these interactions are not well understood. This study reports findings from a Facebook study among 238 college students reporting nonspecific psychological distress using the K-6 scale. Behavioral data included Facebook status updates containing affect words written by participants within the past 60 days and the number of responses (comments and likes) each update received. The updates were also coded for depression symptoms. Self-report data included participants' self-presentational concerns, the affective valence of each post, effects of responses on mood, and satisfaction with the responses to and outcome of each status update. Higher psychological distress was associated with displaying depression language on Facebook, with higher self-presentational concerns, and with less satisfaction with audiences' responses and less overall satisfaction with the outcome of the interaction. These results offer a unique glimpse into the social world of college students with psychological distress through their everyday use of Facebook, and how the interplay of this novel environment and students' mental health impacts their social behaviors and interaction meaning-making on Facebook.
Impaired immune evasion in HIV through intracellular delays and multiple infection of cells

With its high mutation rate, HIV is capable of escape from recognition, suppression and/or killing by CD8+ cytotoxic T lymphocytes (CTLs). The rate at which escape variants replace each other can give insights into the selective pressure imposed by single CTL clones. We investigate the effects of specific characteristics of the HIV life cycle on the dynamics of immune escape. First, it has been found that cells in HIV-infected patients can carry multiple copies of proviruses. To investigate how this process affects the emergence of immune escape, we develop a mathematical model of HIV dynamics with multiple infections of cells. Increasing the frequency of multiple-infected cells delays the appearance of immune escape variants, slows down the rate at which they replace the wild-type variant and can even prevent escape variants from taking over the quasi-species. Second, we study the effect of the intracellular eclipse phase on the rate of escape and show that escape rates are expected to be slower than previously anticipated. In summary, slow escape rates do not necessarily imply inefficient CTL-mediated killing of HIV-infected cells, but are at least partly a result of the specific characteristics of the viral life cycle.