Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of HAART on the Integrity of the Liver and Kidney in HIV Patients at Coast Province General Hospital, Kenya

The emergence of highly active antiretroviral therapy (HAART) has led to dramatic improvements in prolonging survival of HIV-infected patients on treatment in resource-limited settings. However, the main drawback of HAART is its potential long-term hepatotoxicity and renal derangements which may be life-threatening and have emerged as important complications that warrant ART switch and/or discontinuation. Information on the prevalence of the above complications in Kenyan affected population is scanty. The current study assessed the prevalence of hepatic and renal toxicity events in one hundred and fifty HIV+ patients [50 HAART naïve and 100 HAART treated subjects] based on clinical laboratory assays. Data were matched for HAART status, age, sex and the duration patients had been on ARV treatment and were analyzed using SAS version 9.2. The prevalence of hepatotoxicity based on elevated alanine aminotransferase analyte above upper limit of normal was 18% in HAART treated and 8% in HAART naïve patients. The prevalence of renal derangements based on elevated creatinine analyte above upper limit normal was 4% in HAART treated and 8% HAART naïve group. However, the prevalence of hepatotoxicity and renal derangements cases did not vary significantly between HAART experienced and HAART naïve subjects (χ 2 ; P=0.59 and P=0.9 respectively). Renal insufficiency was more common in HAART naïve patients Results from this study can help healthcare actors and providers to pay greater attention to individualized treatment of HIV and AIDS using HAART so as to reduce toxicities and co-morbidities that reduce the quality of life and increases the risk of death. They can also help in finetuning HAART regimens and prescription dosage in order to reduce toxicity levels.
Discussion on the Operation of Reverse Logistics in Tourist Destinations

In the context of the construction of “green cultural industry”, this article starts from the actual situation of tourist destinations. Based on the principle and basis of the manufacturer's dominant advantage theory, explore the scientific operation mode of reverse logistics including recycling logistics and waste flow in tourism destinations, in order to reduce the environmental impact of tourism destinations, reduce costs and improve efficiency, and promote the sustainable development of tourism destinations.
ENSO Impact on the Space–Time Evolution of the Regional Asian Summer Monsoons

This study investigates how ENSO affects the space–time evolution of the Asian summer monsoon (ASM) precipitation and synoptic variables on a 5-day resolution over the entire ASM area. Cyclostationary EOF and regression methods were used to investigate the detailed evolution features associated with ENSO during the prominent life cycle of the ASM (21 May–17 September). This ENSO mode is identified as the third largest component (next to the seasonal cycle and the intraseasonal oscillations with a 40–50-day period) of the ASM rainfall variation. The ENSO mode reveals that the individual regional monsoons over the ASM domain respond to ENSO in a complex manner. 1) Under the El Niño condition, the early monsoon stage over India, the Bay of Bengal, and the Indochina peninsula is characterized by rainfall deficit, along with a delayed monsoon onset by one or two pentads. This is the result of weakened diabatic heating over the Asian continent and meridional pressure gradient over the Indian Ocean, causing a weak low-tropospheric westerly monsoonal flow and the ensuing moisture transport decrease toward the regional monsoon areas. Onsets of the subsequent regional monsoons are delayed successively by this poorly developed ASM system in the early stage. 2) The Walker circulation anomaly persistently induces an enhanced subsidence over the Maritime Continent, resulting in a drought condition over this region for the entire ASM period. 3) The Hadley circulation anomaly linked to the Walker circulation anomaly over the Tropics drives a rising motion over the subtropical western Pacific, resulting in a wetter south China monsoon. The negative sea level pressure anomaly over the subtropical western Pacific associated with this anomalous Hadley circulation provides an unfavorable condition for the moisture transport toward East Asia, causing drier monsoons over north China, Japan, and Korea regions. 4) This negative sea level pressure anomaly intrudes into India, the Bay of Bengal, and the Indochina peninsula during late July and early August, developing a brief wet period over these regions. In contrast, the physical changes including the onset variation and the monsoon strength addressed above are reversed during La Niña events. In reality, the observed ASM rainfall anomaly does not necessarily follow the ENSO-related patterns addressed above because of other impacts contributing to the rainfall variations. Although the impact of ENSO is moderately important, a comparison with other impacts demonstrates that the rainfall variations are controlled more by regional-scale intraseasonal oscillations.
Pulsed SILAC-based proteomic analysis unveils hypoxia- and serum starvation-induced de novo protein synthesis with PHD finger protein 14 (PHF14) as a hypoxia sensitive epigenetic regulator in cell cycle progression

Hypoxia is an environmental cue that is associated with multiple tumorigenic processes such as immunosuppression, angiogenesis, cancer invasion, metastasis, drug resistance, and poor clinical outcomes. When facing hypoxic stress, cells initiate several adaptive responses such as cell cycle arrest to reduce excessive oxygen consumption and co-activation of oncogenic factors. In order to identify the critical novel proteins for hypoxia responses, we used pulsed-SILAC method to trace the active cellular translation events in A431 cells. Proteomic discovery data and biochemical assays showed that cancer cells selectively activate key glycolytic enzymes and novel ER-stress markers, while protein synthesis is severely suppressed. Interestingly, deprivation of oxygen affected the expression of various epigenetic regulators such as histone demethylases and NuRD (nucleosome remodeling and deacetylase) complex in A431 cells. In addition, we identified PHF14 (the plant homeodomain finger-14) as a novel hypoxia-sensitive epigenetic regulator that plays a key role in cell cycle progress and protein synthesis. Hypoxia-mediated inhibition of PHF14 was associated with increase of key cell cycle inhibitors, p14ARF, p15INK4b, and p16INK4a, which are responsible for G1-S phase transition and decrease of AKT-mTOR-4E-BP1/pS6K signaling pathway, a master regulator of protein synthesis, in response to environmental cues. Analysis of TCGA colon cancer (n=461) and skin cancer (n=470) datasets revealed a positive correlation between PHF14 expression and protein translation initiation factors, eIF4E, eIF4B, and RPS6. Significance of PHF14 gene was further demonstrated by in vivo mouse xenograft model using PHF14 KD cell lines.
Performance optimization on skin lesion image classification using pre-trained models

Skin disease classification through CNN has become more sophisticated with the inception of high resolution training image datasets. The automatic classification of skin diseases act as the much needed alternative for the traditional methods such as biopsy and cutaneous examination. The requirement of feature extraction is also not necessary with the CNN as opposed to the automated skin classifiers that were built in the past. This shift in focus is toward CNN enabled the introduction of pre-trained models to be used on image classification as part of transfer learning. Such an approach is followed in this research with the use of MobileNet model and DenseNet201 models along with a custom built CNN. All three models are pitted against each other for performance evaluation with the main criteria being the optimizer being used. Adam optimizer and Stochastic Gradient Descent (SGD) are used to explore the hypothesis that SGD optimizer performs better than Adam optimizer. The accuracy obtained from the research provides evidence that the MobileNet model with the SGD optimizer performs better (91.68 %) than the other models in terms of categorical accuracy.
The Antecedents Intention of Use Mobile Payment for Millennial Generation

—This research adopting Technology Acceptance Model (TAM) and Mobile payment system characteristics with perceived risk to ensuring and explore the model. The main purpose are determining Mobile payment system characteristics and perceived risk in the TAM model for millennial generation as the subject. Sample was selected through purposive method in order to given closed questionarries in likert scale. As a result are perceived usefulness and perceived ease of use were affected the intention to use mobile payment. The findings in this research had implication and development of mobile payment services, from managerial perspective, the finding in this study can be a consideration to collaboration in stakeholder such as banks, merchant, mobile operators. Future direction to the researcher may well focus on GenX to measuring the intention to use mobile payment.
Biomechanics and Physiology in top level Pole Dancers. A case study

The aim of this study was to investigate the physical and physiological demands of three top-level pole dancers’ performances during a simulated competition. Three elite pole dancers, participated in the study. Physical data pertaining to the accelerations and the rotational values were collected. A complete video footage was recorded. Blood Pressure, Heart Rates, Blood Lactate concentrations were recorded during the performance. Before and after the simulated competitions some postural stability tests were also performed. Accelerations along the vertical axis reached »2G and rotational movements around the pole, reached »400°/s. Blood Pressure values ranged from 120/75 before and to 145/58 mmHg at the end of performance, respectively. Heart Rates reached a mean peak value of »114% of the Maximal Estimated Heart Rates (HRmax) and a mean HRmax% of 74.59±8.82% during the simulated competition. Blood Lactate concentration ranged from 11.43±2.13 to 10.63±1.65 mmol/L measured at 1 min and 5 min after the completion of the competition, respectively. Postural effects were observed on balance, after the performances. The results of this case study confirm that the Pole Dancing requires heavy physiological and physical demands on the performers. Specific training routines should be designed in order to cope efficiently with this physical activity.
Intraoperative image guidance for cervical spine surgery

Intraoperative image-guidance in spinal surgery has been influenced by various technological developments in imaging science since the early 1990s. The technology has evolved from simple fluoroscopic-based guidance to state-of-art intraoperative computed tomography (iCT)-based navigation systems. Although the intraoperative navigation is more commonly used in thoracolumbar spine surgery, this newer imaging platform has rapidly gained popularity in cervical approaches. The purpose of this manuscript is to address the applications of advanced image-guidance in cervical spine surgery and to describe the use of intraoperative neuro-navigation in surgical planning and execution. In this review, we aim to cover the following surgical techniques: anterior cervical approaches, atlanto-axial fixation, subaxial instrumentation, percutaneous interfacet cage implantation as well as minimally invasive posterior cervical foraminotomy (PCF) and unilateral laminotomy for bilateral decompression. The currently available data suggested that the use of 3D navigation significantly reduces the screw malposition, operative time, mean blood loss, radiation exposure, and complication rates in comparison to the conventional fluoroscopic-guidance. With the advancements in technology and surgical techniques, 3D navigation has potential to replace conventional fluoroscopy completely.
CHAPTER 16. Gibberellin Metabolism

The gibberellin (GA) plant hormones are diterpenoid carboxylic acids that regulate growth and development throughout the life cycle of flowering plants, but are also present in some species of lower plants, fungi and bacteria. The latter stages of their biosynthesis in flowering plants involve the activities of two main families of 2-oxoglutarate-dependent dioxygenases (ODDs): GA 20-oxidases, which oxidize the C-10 methyl group to the aldehyde and then cleave it to form the C19-GAs, and GA 3-oxidases, which introduce a 3β-hydroxyl group as the final step in the formation of the biologically active hormones. Oxidation on C-2 by other ODD families (GA 2-oxidases) that act on C19-GAs or their C20-GA precursors serves as an inactivation mechanism. A further family of ODDs with a restricted species distribution, the GA 7-oxidases, convert the early precursor GA12-aldehyde to GA12, a reaction that is also catalysed by cytochrome P450 monooxygenases. Members of the ODD gene families are major sites of regulation for GA biosynthesis and catabolism, responding to developmental and environmental signals. The paralogues have distinct but often overlapping expression domains, and differ also in levels of expression and regulation. These enzymes have proved to be useful targets for the introduction of beneficial traits into crop species, while the acylcyclohexanedione inhibitors of the GA 3-oxidases have found important application in agriculture as growth retardants.
A FaaS File System for Serverless Computing

Serverless computing with cloud functions is quickly gaining adoption, but constrains programmers with its limited support for state management. We introduce a shared file system for cloud functions. It offers familiar POSIX semantics while taking advantage of distinctive aspects of cloud functions to achieve scalability and performance beyond what traditional shared file systems can offer. We take advantage of the function-grained fault tolerance model of cloud functions to proceed optimistically using local state, safe in the knowledge that we can restart if cache reads or lock activity cannot be reconciled upon commit. The boundaries of cloud functions provide implicit commit and rollback points, giving us the flexibility to use transaction processing techniques without changing the programming model or API. This allows a variety of stateful sever-based applications to benefit from the simplicity and scalability of serverless computing, often with little or no modification.
Discovery of an ∼30-yr-duration post-nova pulsating supersoft source in the Large Magellanic Cloud

Supersoft X-ray sources (SSS) have been identified as white dwarfs accreting from binary companions and undergoing nuclear-burning of the accreted material on their surface. Although expected to be a relatively numerous population from both binary evolution models and their identification as Type Ia supernova progenitor candidates, given the very soft spectrum of SSSs relatively few are known. Here we report on the X-ray and optical properties of 1RXS J050526.3-684628, a previously unidentified accreting nuclear-burning white dwarf located in the Large Magellanic Cloud (LMC). XMM-Newton observations enabled us to study its X-ray spectrum and measure for the first time short period oscillations of ~170 s. By analysing newly obtained X-ray data by eROSITA, together with Swift observations and archival ROSAT data, we have followed its long-term evolution over the last 3 decades. We identify 1RXS J050526.3-684628 as a slowly-evolving post-nova SSS undergoing residual surface nuclear-burning, which finally reached its peak in 2013 and is now declining. Though long expected on theoretical grounds, such long-lived residual-burning objects had not yet been found. By comparison with existing models, we find that the effective temperature and luminosity evolution are consistent with a ~0.7 $M_{\odot}$ carbon-oxygen white dwarf accreting ~10$^{-9}~\rm{M}_{\odot}$/yr. Our results suggest there may be many more undiscovered SSSs and "missed" novae awaiting dedicated deep X-ray searches in the LMC and elsewhere.
Time-to-Provision Evaluation of IoT Devices Using Automated Zero-Touch Provisioning

The Internet of Things (IoT) is being widely adopted in today's society, interconnecting smart embedded devices that are being deployed for indoor and outdoor environments, such as homes, factories and hospitals. Along with the growth in the development and implementation of these IoT devices, their simple and rapid deployment, initial configuration and out-of-the-box operational provisioning are becoming prominent challenges to be circumvented. Considering a large number of heterogeneous devices to be deployed within next generation IoT networks, the amount of time needed for manual provisioning of these IoT devices can significantly delay the deployment and manual provisioning may introduce human-induced failures and errors. By incorporating zero-touch provisioning (ZTP), multiple heterogeneous devices can be provisioned with less effort and without human intervention. In this paper, we propose software-enabled access point (Soft-AP)- and Bluetooth-based ZTP solutions relying only on a single mediator device and evaluate their performances using LOG-A-TEC testbed against manual provisioning in terms of the time required for provisioning (time-to-provision, TTP). We demonstrate that on average, Soft-AP- and Bluetooth-based ZTP solutions outperform manual provisioning with about 154% and 313% when compared to the expert provisioning, and with about 434% and 880% when compared to the non-expert provisioning in terms of TTP performances, respectively.
Relativistic radiation hydrodynamics in a reference-metric formulation

We adopt a two-moment formalism, together with a reference-metric approach, to express the equations of relativistic radiation hydrodynamics in a form that is well-suited for numerical implementations in curvilinear coordinates. We illustrate the approach by employing a gray opacity in an optically thick medium. As numerical demonstrations we present results for two test problems, namely stationary, slab-symmetric solutions in flat spacetimes, including shocks, and heated Oppenheimer-Snyder collapse to a black hole. For the latter, we carefully analyze the transition from an initial transient to a post-transient phase that is well described by an analytically-known diffusion solution. We discuss the properties of the numerical solution when rendered in moving-puncture coordinates.
Weight Distillation: Transferring the Knowledge in Neural Network Parameters

Knowledge distillation has been proven to be effective in model acceleration and compression. It transfers knowledge from a large neural network to a small one by using the large neural network predictions as targets of the small neural network. But this way ignores the knowledge inside the large neural networks, e.g., parameters. Our preliminary study as well as the recent success in pre-training suggests that transferring parameters are more effective in distilling knowledge. In this paper, we propose Weight Distillation to transfer the knowledge in parameters of a large neural network to a small neural network through a parameter generator. On the WMT16 En-Ro, NIST12 Zh-En, and WMT14 En-De machine translation tasks, our experiments show that weight distillation learns a small network that is 1.88 2.94x faster than the large network but with competitive BLEU performance. When fixing the size of small networks, weight distillation outperforms knowledge distillation by 0.51 1.82 BLEU points.
Lactic Fermented Soymilk Improves Hepatic Lipid Metabolism in Rats Fed a High Fat and High Cholesterol Diet

We investigated the effect of lactic fermented soymilk in improving hepatic lipid metabolism in rats fed a high fat and high cholesterol diet. Male Sprague-Dawley rats, aged 7 weeks, were fed a very high lipid diet (VC diet) or moderately high lipid diet (MC diet) for 5 weeks. The VC diet contained 30% triacylglycerol (TG) and 0.5% cholesterol ; for VF diet (very high lipid diet with fermented soymilk), 25.0% of the VC diet was replaced with fermented soymilk. The MC diet contained 15% TG and 0.125% cholesterol ; for MF diet (moderately high lipid diet with fermented soymilk), 22.2% of the MC diet was replaced with fermented soymilk. Only hepatic crude lipid and cholesterol contents were significantly suppressed in the VF group, whereas plasma total cholesterol (TC) and TG levels, as well as hepatic crude lipid, cholesterol and TG contents were significantly suppressed in the MF group. There was no down-regulation of hepatic lipid metabolism-related gene expression in the VF group ; in contrast, the expression of FAS was down-regulated in the MF group. These results suggested that the effect of fermented soymilk in improving lipid metabolism was small in rats fed the VC diet, likely due to reduced hepatic metabolic function caused by lipid overloading, whereas ingestion of fermented soymilk effectively suppressed the accumulation of hepatic lipid and the elevation of plasma lipid levels in rats fed a MC diet.
Modeling the Evolution of Networks as Shrinking Structural Diversity

This article reviews and evaluates models of network evolution based on the notion of structural diversity. We show that diversity is an underlying theme of three principles of network evolution: the preferential attachment model, connectivity and link prediction. We show that in all three cases, a dominant trend towards shrinking diversity is apparent, both theoretically and empirically. In previous work, many kinds of different data have been modeled as networks: social structure, navigational structure, transport infrastructure, communication, etc. Almost all these types of networks are not static structures, but instead dynamic systems that change continuously. Thus, an important question concerns the trends observable in these networks and their interpretation in terms of existing network models. We show in this article that most numerical network characteristics follow statistically significant trends going either up or down, and that these trends can be predicted by considering the notion of diversity. Our work extends previous work observing a shrinking network diameter to measures such as the clustering coefficient, power-law exponent and random walk return probability, and justifies preferential attachment models and link prediction algorithms. We evaluate our hypothesis experimentally using a diverse collection of twenty-seven temporally evolving real-world network datasets.