Miracle-dz/UniFAR-FTUs huggingface dataset:
The Roles of Infomediaries in Crisis Response: The Case of 2017 Bangladesh Flood

The role of infomediaries in crisis response is implicitly discussed in the literature. However, it is not explicitly theorized. Therefore, in this paper, we have scrutinized the roles of infomediaries in crisis response situation, particularly in developing countries context. We also examined how various contextual factors influence the roles of info-mediaries. To illustrate, we conducted an interpretive case study of 2017 Bangladesh flood. Our findings show that two types of infomediaries: online and local, played several roles such as data collector, trusted arbitrator, fundraiser, logistics provider, col-laborator, relief distributor and communicator. Furthermore, the study identified three contextual factors such as trust, social obligations and involvement of local communities that can influence the role of infomediaries. The study can be useful to emergency responders in identifying infomediaries and contextual factors while responding and assessing the natural crisis in developing countries.
Inhibition of Mastermind-like 1 alleviates liver fibrosis induced by carbon tetrachloride in rats

Mastermind-like 1 (MAML1) functions in critical transcriptional coactivation in Notch and Wnt/β-catenin signal pathways, which participate in hepatic fibrosis. This study is aimed to reveal the potential role of MAML1 in liver fibrosis and identify its underlying mechanism. In present research, the enhanced expression of MAML1 was found in the fibrotic liver tissues in carbon tetrachloride (CCl4)-induced hepatic fibrosis in rats, and MAML1 expression increased gradually during the activation of hepatic stellate cells (HSCs) isolated from the normal rat. Further studies showed that blocking MAML1 expression efﬁciently decreased the expression of α-SMA and collagen I (Col1a1) in HSCs. Interestingly, MAML1 may modulate HSCs activation via interrupting both Notch and Wnt/β-catenin signal transductions, and the inhibition of MAML1 by a recombinant adeno-associated virus type 1 vector carrying shRNA targeting MAML1 alleviated CCl4-induced hepatic fibrosis in rats. These findings suggest that the selective regulation of MAML1 expression may be a feasible therapeutic approach to reverse liver fibrosis. Impact statement Liver fibrosis is a common wound-healing response to all kinds of liver injuries. Hepatic stellate cells (HSCs) activation is the key event during liver fibrogenesis. Thus, the elucidation of mechanisms for regulating HSCs activation is helpful for identifying novel anti-fibrotic targets and strategies. MAML1, an important component of Notch signal, functions in critical transcriptional coactivation in the Notch and Wnt/β-catenin signal pathways. In the present study, we investigated the potential function of MAML1 during hepatic fibrogenesis in rats. Our results demonstrated that MAML1 participates in liver fibrosis through modulating HSCs activation via interrupting both the Notch and Wnt/β-catenin signal transductions. Additionally, the inhibition of MAML1 markedly attenuated CCl4-induced hepatic fibrogenesis in rats. Our results shed a light for the exploitation of a new therapeutic strategy for hepatic fibrosis via targeting MAML1.
Clinical Features of Varicella-Zoster Virus Infection

Varicella-zoster virus (VZV) is a pathogenic human herpes virus that causes varicella (chickenpox) as a primary infection, following which it becomes latent in peripheral ganglia. Decades later, the virus may reactivate either spontaneously or after a number of triggering factors to cause herpes zoster (shingles). Varicella and its complications are more severe in the immunosuppressed. The most frequent and important complication of VZV reactivation is postherpetic neuralgia, the cause of which is unknown and for which treatment is usually ineffective. Reactivation of VZV may also cause a wide variety of neurological syndromes, the most significant of which is a vasculitis, which is treated with corticosteroids and the antiviral drug acyclovir. Other VZV reactivation complications include an encephalitis, segmental motor weakness and myelopathy, cranial neuropathies, Guillain–Barré syndrome, enteric features, and zoster sine herpete, in which the viral reactivation occurs in the absence of the characteristic dermatomally distributed vesicular rash of herpes zoster. There has also been a recent association of VZV with giant cell arteritis and this interesting finding needs further corroboration. Vaccination is now available for the prevention of both varicella in children and herpes zoster in older individuals.
The risk factors, frequency and diagnosis of atypical antipsychotic drug-induced hypothermia: practical advice for doctors

Hypothermia is unpredictable and life-threatening adverse effect of atypical antipsychotic drug (APD) treatment, which has been little described. The aim of this article is to increase the awareness that hypothermia induced by APD drugs is more common than the current published case reports may suggest, and risk factors increase its development. Moreover, valuable guidelines regarding how to detect the early stages of hypothermia in clinical practice are included. A literature search for reports on APD-induced hypothermia in PubMed, Academic Search Complete, Medline Complete and eHealthMe databases was conducted. The literature search apart from eHealthMe database resulted in 524 articles, which included 34 case reports. Hypothermia was mostly induced by olanzapine (14) and risperidone (10). However, the data from Food and Drug Administration reports revealed several dozen more cases of APD-induced hypothermia (591case reports) compared with the published case reports (e.g. olanzapine-262 and risperidone-161). Hypothermia, mostly mild (61% of cases), has developed mainly in men (71%) having schizophrenia, a few hours after commencement of treatment or in the presence of risk factors. Owing to the increased risk of hypothermia development during APD treatment, doctors should routinely measure body temperature of patients, especially during the first days of the therapy. Early diagnosis of hypothermia and appropriate treatment may prevent death.
AIS Electronic Library (AISeL)

The emergence and growing interest in Artificial Intelligence (AI) will have increasing societal implications influencing, the responsibilities of decision-makers and policy analysts. Although an extensive body of literature relating to AI techniques already exists, this is not the case for AI adoption in organisations. This research-in-progress seeks to propose a research framework for AI adoption at firm level. To do so, two popular theories are considered: The Technology-Organisations-Environment (TOE) framework, and Diffusion of Innovation theory (DOI). This paper presents an in-depth interpretation of these theories for the adoption of AI technologies and proposes an AI adoption framework at firm level. A mixed methods research approach is proposed to test and validate the framework. Further work in this project will involve developing the research instrument for data collection via a survey targeted at firms.
A CNN-Based Fusion Method for Super-Resolution of Sentinel-2 Data

Sentinel-2 data represent a rich source of information for the community due to the free access and to the temporal-spatial coverage assured. However, some of the spectral bands are sensed at reduced resolution due to a compromise between technological limitations and Copernicus program's objectives. For this reason in this work we present a new super-resolution method based on Convolutional Neural Networks (CNNs) to rise the resolution of the short wave infra-red (SWIR) band from 20 to 10 meters, that is the highest resolution provided. This is accomplished by fusing the target band with the finer-resolution ones. The proposed solution compares favourably against several alternative methods according to different quality indexes. In addition we have also tested the use of the super-resolved band from an applicative perspective by detecting water basins through the Modified Normalized Difference Water Index (MNDWI).
The Performance of Primary School Teachers In the Unit of Education Technical Implementation, Banyumanik, Semarang

The purpose of this study is mainly to describe the performance of primary school teachersin the unit of education technical implementation in Banyumanik, Semarang. This researchwas conducted in January- August 2017. The sample of this research is 162 primaryschool teachers selected by random sampling technique in order to get the same opportunityas sample. The instruments used in this study were the assessment sheets, the RatingSheet consisted of 64 items of question, and 3 indicators of Primary School TeacherPerformance. The results show that each of Implementation of lesson plans is categorizedvery well (90, 9%), the execution of the learning is 83.4%, assessment of learning is good(82.8%). The Overall performance of primary school teachers is categorized good( 85 , 7 % ). In other words, the primary school teachers of the unit of education technicalimplementation in Banyumanik Semarang can arrange the lesson plans, carry out learningand teaching process and assess the learning process in elementary school.
Effects of Metformin Combined with Lactoferrin on Lipid Accumulation and Metabolism in Mice Fed with High-Fat Diet

Metformin (Met) and lactoferrin (Lf) both exhibit beneficial effects on body weight management and lipid accumulation. However, the synergistical action of Met and Lf remains unclear. In this study, 64 mice were divided into five groups, namely, the control group, high-fat diet (HFD group), HFD with Met (Met group), Lf (Lf group), and a combination of Met and Lf (Met + Lf group). Met (200 mg/kg body weight) and Lf (2 g/100 mL) were administrated in drinking water. The experiment lasted for 12 weeks. Body weight, serum, and hepatic lipids were determined. Histology of the liver and perirenal fat was observed. Protein expression related to hepatic lipid metabolism was also measured. HFD significantly increased body weight, visceral fat weight, and lipid profiles, which lead to obesity and dyslipidemia in mice. Compared with the HFD group, the treatments significantly decreased body weight and Lee’s index (body mass index of mice) with the lowest values in the Met + Lf group. The treatments also decreased the weight of visceral fat, and improved circulating lipid profile and the ability for regulating glucose intake. The adipocyte size and serum TC level were significantly lower in the Met + Lf group as compared with those in the Met or Lf group. The treatments alleviated hepatic lipid accumulation, especially in the Met + Lf group. For protein expression, the p-AMPK/AMPK ratio, a key kinase-regulating cellular energy homeostasis, was significantly higher in the Met + Lf group than the ratio in the HFD group. Similarly, the treatments significantly downregulated the protein expression of lipogenic enzymes (FAS, ACC, and SREBP-1) and upregulated the protein expression of lipolytic enzyme (ATGL). The protein expression of HMGCoAR, which is an important rate limiting enzyme in cholesterol biosynthesis, was only significantly lower in the Met + Lf group than in the HFD group. In conclusion, Met and Lf, either alone or in combination, prevented HFD-induced obesity and improved lipid metabolism.
24-h severe energy restriction impairs postprandial glycaemic control in young, lean males

Abstract Intermittent energy restriction (IER) involves short periods of severe energy restriction interspersed with periods of adequate energy intake, and can induce weight loss. Insulin sensitivity is impaired by short-term, complete energy restriction, but the effects of IER are not well known. In randomised order, fourteen lean men (age: 25 (sd 4) years; BMI: 24 (sd 2) kg/m2; body fat: 17 (4) %) consumed 24-h diets providing 100 % (10 441 (sd 812) kJ; energy balance (EB)) or 25 % (2622 (sd 204) kJ; energy restriction (ER)) of estimated energy requirements, followed by an oral glucose tolerance test (OGTT; 75 g of glucose drink) after fasting overnight. Plasma/serum glucose, insulin, NEFA, glucagon-like peptide-1 (GLP-1), glucose-dependent insulinotropic peptide (GIP) and fibroblast growth factor 21 (FGF21) were assessed before and after (0 h) each 24-h dietary intervention, and throughout the 2-h OGTT. Homoeostatic model assessment of insulin resistance (HOMA2-IR) assessed the fasted response and incremental AUC (iAUC) or total AUC (tAUC) were calculated during the OGTT. At 0 h, HOMA2-IR was 23 % lower after ER compared with EB (P<0·05). During the OGTT, serum glucose iAUC (P<0·001), serum insulin iAUC (P<0·05) and plasma NEFA tAUC (P<0·01) were greater during ER, but GLP-1 (P=0·161), GIP (P=0·473) and FGF21 (P=0·497) tAUC were similar between trials. These results demonstrate that severe energy restriction acutely impairs postprandial glycaemic control in lean men, despite reducing HOMA2-IR. Chronic intervention studies are required to elucidate the long-term effects of IER on indices of insulin sensitivity, particularly in the absence of weight loss.
Auto-delineation of oropharyngeal clinical target volumes using 3D convolutional neural networks

Accurate clinical target volume (CTV) delineation is essential to ensure proper tumor coverage in radiation therapy. This is a particularly difficult task for head-and-neck cancer patients where detailed knowledge of the pathways of microscopic tumor spread is necessary. This paper proposes a solution to auto-segment these volumes in oropharyngeal cancer patients using a two-channel 3D U-Net architecture. The first channel feeds the network with the patient’s CT image providing anatomical context, whereas the second channel provides the network with tumor location and morphological information. Radiation therapy simulation computer tomography scans and their corresponding manually delineated CTV and gross tumor volume (GTV) delineations from 285 oropharyngeal patients previously treated at MD Anderson Cancer Center were used in this study. CTV and GTV delineations underwent rigorous group peer-review prior to the start of treatment delivery. The convolutional network’s parameters were fine-tuned using a training set of 210 patients using 3-fold cross-validation. During hyper-parameter selection, we use a score based on the overlap (dice similarity coefficient (DSC)) and missed volumes (false negative dice (FND)) to minimize any possible under-treatment. Three auto-delineated models were created to estimate tight, moderate, and wide CTV margin delineations. Predictions on our test set (75 patients) resulted in auto-delineations with high overlap and close surface distance agreement (DSC > 0.75 on 96% of cases for tight and moderate auto-delineation models and 97% of cases having mean surface distance ⩽ 5.0 mm) to the ground-truth. We found that applying a 5 mm uniform margin expansion to the auto-delineated CTVs would cover at least 90% of the physician CTV volumes for a large majority of patients; however, determination of appropriate margin expansions for auto-delineated CTVs merits further investigation.
A Classification Method for Polsar Images using SLIC Superpixel Segmentation and Deep Convolution Neural Network

Deep convolution neural networks (DCNN) have been successfully introduced in the field of Polarimetric SAR image classification. However, the commonly used DCNN will classify each pixel in the image and neglect the fact that neighboring pixels may have similar intensity. Besides, the fixed size input in DCNN cannot be well adopted in remote sensing image which includes a great deal of different-scale information. Thus, superpixel segmentation (SS) and the input pyramid are introduced in this paper to improve the performance of DCNN. The former will guide the DCNN to classify superpixel instead of single pixel and the latter will include different-scale information around the pixel. Experiments carried out on two scenes of ALOS-2 PALSAR-2 POLSAR images demonstrate that the introduced technic can help DCNN achieve good accuracy and smooth boundary adherence with highly efficiency.
Processive flow by biased polymerization mediates the slow axonal transport of actin

&NA; Classic pulse‐chase studies have shown that actin is conveyed in slow axonal transport, but the mechanistic basis for this movement is unknown. Recently, we reported that axonal actin was surprisingly dynamic, with focal assembly/disassembly events (“actin hotspots”) and elongating polymers along the axon shaft (“actin trails”). Using a combination of live imaging, superresolution microscopy, and modeling, in this study, we explore how these dynamic structures can lead to processive transport of actin. We found relatively more actin trails elongated anterogradely as well as an overall slow, anterogradely biased flow of actin in axon shafts. Starting with first principles of monomer/filament assembly and incorporating imaging data, we generated a quantitative model simulating axonal hotspots and trails. Our simulations predict that the axonal actin dynamics indeed lead to a slow anterogradely biased flow of the population. Collectively, the data point to a surprising scenario where local assembly and biased polymerization generate the slow axonal transport of actin without involvement of microtubules (MTs) or MT‐based motors. Mechanistically distinct from polymer sliding, this might be a general strategy to convey highly dynamic cytoskeletal cargoes. &NA; Chakrabarty et al. propose a model in which slow axonal transport of actin can occur by a biased polymerization of actin filaments along the axon shaft without the involvement of microtubules (MTs) or MT‐based motors. These dynamics are distinct from polymer sliding—the canonical mechanism thought to convey cytoskeletal cargoes in slow transport.
A Comparison of Psychophysical Dose-Response Behaviour across 16 Sweeteners

Reduction or replacement of sucrose while maintaining sweetness in foods is challenging, but today there are many sweeteners with diverse physical and caloric compositions to choose from. The choice of sweetener can be adapted to match reformulation goals whether these are to reduce calories, lower the glycaemic response, provide bulk or meet criteria as a natural ingredient. The current study sought to describe and compare the sweetness intensity dose-response, sweetness growth rate, sweetness potency, and potential for calorie reduction across 16 different sweeteners including sucrose. Sweetness growth rate was defined as the rate of change in sweetness intensity per unit of sweetener concentration. Sweetness potency was defined as the ratio of the concentration of a sweetener to that of sucrose at equivalent sweetness intensity, whereas the potential for calorie reduction is the caloric value of a sweetener compared to sucrose at matched sweetness intensities. Sweeteners were drawn from a range of nutritive saccharide (sucrose, dextrose, fructose, allulose (d-psicose), palatinose (isomaltulose), and a sucrose–allulose mixture), nutritive polyol (maltitol, erythritol, mannitol, xylitol, sorbitol), non-nutritive synthetic (aspartame, acesulfame-K, sucralose) and non-nutritive natural sweeteners stevia (rebaudioside A), luo han guo (mogroside V). Sweetness intensities of the 16 sweeteners were compared with a sensory panel of 40 participants (n = 40; 28 females). Participants were asked to rate perceived sweetness intensity for each sweetener series across a range of concentrations using psychophysical ratings taken on a general labelled magnitude scale (gLMS). All sweeteners exhibited sigmoidal dose-response behaviours and matched the ‘moderate’ sweetness intensity of sucrose (10% w/v). Fructose, xylitol and sucralose had peak sweetness intensities greater than sucrose at the upper concentrations tested, while acesulfame-K and stevia (rebA) were markedly lower. Independent of sweetener concentration, the nutritive sweeteners had similar sweetness growth rates to sucrose and were greater than the non-nutritive sweeteners. Non-nutritive sweeteners on the other hand had higher potencies relative to sucrose, which decreases when matching at higher sweetness intensities. With the exception of dextrose and palatinose, all sweeteners matched the sweetness intensity of sucrose across the measured range (3.8–25% w/v sucrose) with fewer calories. Overall, the sucrose–allulose mixture, maltitol and xylitol sweeteners were most similar to sucrose in terms of dose-response behaviour, growth rate and potency, and showed the most potential for sugar replacement within the range of sweetness intensities tested.
Data-Driven Approach for Auditory Profiling and Characterization of Individual Hearing Loss

Pure-tone audiometry still represents the main measure to characterize individual hearing loss and the basis for hearing-aid fitting. However, the perceptual consequences of hearing loss are typically associated not only with a loss of sensitivity but also with a loss of clarity that is not captured by the audiogram. A detailed characterization of a hearing loss may be complex and needs to be simplified to efficiently explore the specific compensation needs of the individual listener. Here, it is hypothesized that any listener's hearing profile can be characterized along two dimensions of distortion: Type I and Type II. While Type I can be linked to factors affecting audibility, Type II reflects non-audibility-related distortions. To test this hypothesis, the individual performance data from two previous studies were reanalyzed using an unsupervised-learning technique to identify extreme patterns in the data, thus forming the basis for different auditory profiles. Next, a decision tree was determined to classify the listeners into one of the profiles. The analysis provides evidence for the existence of four profiles in the data. The most significant predictors for profile identification were related to binaural processing, auditory nonlinearity, and speech-in-noise perception. This approach could be valuable for analyzing other data sets to select the most relevant tests for auditory profiling and propose more efficient hearing-deficit compensation strategies.
Wind Direction Ambiguity Removal Using Along-Track Insar: A Case Study

The main problem in wind retrieval using SAR imagery is the lack of the wind direction information. A few methods have been proposed to extract the wind direction from SAR images. The main limitation of these methods is the 180°ambiguity in the direction. Usually, an external source of wind direction is used to remove this ambiguity. This study exploits the Along-track Interferometric SAR (ATI-SAR) phase to demonstrate its usefulness to tackle this problem. A method is proposed to remove the wind direction ambiguity using the ATI-SAR phase information. This is based on the fact that the interferometric phase is related to the sea surface motion direction. Depending on the sign convention, the phase is positive/negative for advancing/receding target respectively. This effect is used to assist the wind extraction algorithm to select the most plausible direction. The results show a very good agreement with atmospheric model and visual investigation.