Miracle-dz/UniFAR-FTUs huggingface dataset:
Intradialytic Hypertension: It Is Time to Act

Intradialytic hypertension (IDH) is defined by blood pressure (BP) values during and at the end of the dialysis session exceeding BP values at dialysis onset. It occurs in around 10% of hemodialysis (HD) patients. It is associated with HD patients’ hospitalization and increased risk of death. Many hypotheses have been proposed to explain this phenomenon. Recent studies and reports highlight the important role of fluid overload, hemodynamic changes, and increased endothelin level. The importance of other hypotheses such as the renin-angiotensin system activation, sympathetic overactivity and ionic variations seems secondary but it deserves to be confirmed. Fluid removal remains the key point for treating IDH. Several important unanswered questions remain and the need for further research is highlighted.
A NEW ALGORITHM FOR GLOBAL ALIGNMENT IN DNA SEQUENCING

Alignment is the most basic component of biological sequence manipulation and has diverse applications in sequence assembly, sequence annotation, structural and functional predictions for genes and proteins, phylogeny and evolutionary analysis. Classical methods like Needleman Wunsch ( for global alignment) in 1970 and Smith-Waterman (for local alignment) in 1981 suffer from the drawback that it involves a large number of computational steps and has a statically allocate a large section of memory for computer implementation. This paper suggests an alternate method to obtain global alignment between two sequences using logic gates and compare the performance of our algorithm with that of the classical method.
A Grounded Theory Study of the Quality Relationships between Family Caregivers and Persons with Head and Neck Cancer

The purpose of this grounded theory study was to explore the meaning and characteristics of the quality of relationships between Thai family caregivers and persons with head and neck cancer. Data was collected via in-depth interviews and the constant comparative method was used to analyse data to generate a theory of quality relationships among family caregivers of persons with head and neck cancer. Participants included 15 family caregivers; 13 spouses and two sons. The core category emerging from data anlaysis was quality relationships, which had four subcategories: feeling of love, sympathy, caring and connectedness. Love was defined as the caregiver’s desire to return the care-receiver’s love. Sympathy was defined as the caregiver’s feeling toward their care-receiver’s having cancer and suffering from the disease, and feeling sad for their care-receiver. Caring was defined as the caregiver’s feeling of concern and worry about their care-receiver. Connectedness was defined as the caregiver’s feeling of becoming closer to the care-receiver than before they started caregiving. The quality relationships between caregivers and persons with head and neck cancer is a dynamic process which occurred in three phases; the reason to be a caregiver, quality relationship, and provision of care. The Thai cultural context and religion influenced every phase of quality relationships. Nurses and other providers should integrate scientific, religious, and cultural knowledge into their clinical practice for promoting quality relationships in order to improve quality of care between family caregivers and persons with head and neck cancer.
Piracy Control Framework in Mobile Cloud Computing Systems

The ubiquity of the cloud computing allows the mobile devices to connect and use the traditional cloud computing services [1]. However, unlike the normal computing machines, the mobile devices are resource constrained. The precincts of low processing power, less storage capacity, limited energy, and the capricious internet connectivity does not allow the compute and storage mandating applications to run on mobile devices [2]. The aforementioned limitations served as the motivation for a new computing paradigm called Mobile Cloud Computing (MCC) that enhances the abilities of mobile devices by offloading resource intensive applications to the cloud. Mobile devices can now execute heavy compute and storage intensive applications by using the computation and storage services of the cloud [3]. The MCC paradigm enables the users to access and manage their applications and data through mobile devices without the need to move to traditional computing machines.
Differing regional responses to a perturbation in solar cloud absorption in the SKYHI general circulation model

[1] In this study we perform an idealized experiment to investigate the effect of solar absorption in clouds on climate using a general circulation model with prescribed sea surface temperatures, focusing on the manner of regional changes during the northern summer season. The response arising from this type of perturbation is akin to ‘‘semidirect’’ effects of absorbing aerosols, namely, dissipation of clouds owing to a high aerosol absorption in the cloud layers. In the experiment, we apply a similar perturbation to all low-cloud layers, reducing their single-scattering albedo to a value of 0.99, which enables us to isolate the effect of such solar absorption from other aerosol related influences. We find that in both midlatitude and equatorial regions, the reduction in low-cloud single-scattering albedo causes a reduction in low-cloud amount and a warming of the surface. However, the dynamical response of the system varies from one continental region to another. In the midlatitude regions of the United States and Europe/east Asia, the diabatic heating perturbation leads to the dissipation of low clouds, an increase in shortwave flux to the surface, an increase in horizontal heat advection, and an increase in atmospheric stability. In the tropical region of North Africa, the diabatic heating perturbation translates into an increase in convection, a decrease in stability, an increase in middle- and high-level clouds, and a reduction in shortwave flux to the surface. In agreement with previous studies, these results demonstrate the distinctive response of the tropical versus midlatitude regions to a similar solar perturbation.
Secure Count Query on Encrypted Genomic Data: A Survey

To facilitate large-scale biomedical research projects, it requires sharing genomic and clinical data collected by disparate organizations among themselves. Due to the enormous size of the data, the task of the storage and computation on the shared data can be delegated to third party cloud infrastructures, equipped with large storage and computation resources. But the whole process of sharing, managing, and computation on this data should be done in a way that prevents the potential loss, theft or misuse of the data as genomic data are very sensitive by nature. In this article, we provide an overview of the existing secure solutions for outsourcing genomic data to the cloud and executing one of the most important operations on the genomic data: count query.
The role of mass spectrometry in the characterization of biologic protein products

ABSTRACT Introduction: Mass spectrometry (MS) is widely used in the characterization of biomolecules including peptide and protein therapeutics. These biotechnology products have seen rapid growth over the past few decades and continue to dominate the global pharmaceutical market. Advances in MS instrumentation and techniques have enhanced protein characterization capabilities and supported an increased development of biopharmaceutical products. Areas covered: This review describes recent developments in MS-based biotherapeutic analysis including sequence determination, post-translational modifications (PTMs) and higher order structure (HOS) analysis along with improvements in ionization and dissociation methods. An outlook of emerging applications of MS in the lifecycle of product development such as comparability, biosimilarity and quality control practices is also presented. Expert commentary: MS-based methods have established their utility in the analysis of new biotechnology products and their lifecycle appropriate implementation. In the future, MS will likely continue to grow as one of the leading protein identification and characterization techniques in the biopharmaceutical industry landscape.
Advances in Management of Class II Malocclusions

Although mandibular advancement by bilateral sagittal split osteotomy seems to be a good mandibular treatment option to treat skeletal class II malocclusion, it is less stable than setback; relapse depends on a wide range of patient‐centered and surgeon‐ centered factors relating to the skill and experience of the surgeon, proper seating of the condyles, the exact amount of mandibular advancement, the tension of the muscles and soft tissues, the mandibular plane angle, and the patient's age. In fact, patients with low and high mandibular plane angles have increased vertical and horizontal relapses, respectively. Nonsurgical management of class II malocclusion may be an option by which to effectively manage such cases. The present chapter discusses different treatment modalities for clinical management of class II malocclusion in growing and non‐growing patients.
Face processing in children with autism

Recent eye tracking studies of face processing have produced differing accounts of how and whether children with autism differ from their typically developing peers. The two groups' gaze patterns appear to differ for dynamic videos of social scenes, but not for static photos of isolated individuals. The present study replicated and extended previous research by comparing the gaze patterns of individuals with and without autism for four types of stimuli: social dynamic, social static, isolated dynamic, and isolated static. Participants with autism differed from their typically developing peers only for social-dynamic stimuli; fixation durations were decreased for eye regions and increased for body regions. Further, these fixation durations predicted scores on a measure of social responsiveness. These findings reconcile differences in previous reports by identifying the specific social and dynamic task components associated with autism-related face processing impairments.
THE ROLES OF HOST EVOLUTIONARY RELATIONSHIPS (GENUS: NASONIA) AND DEVELOPMENT IN STRUCTURING MICROBIAL COMMUNITIES

The comparative structure of bacterial communities among closely related host species remains relatively unexplored. For instance, as speciation events progress from incipient to complete stages, does divergence in the composition of the species’ microbial communities parallel the divergence of host nuclear genes? To address this question, we used the recently diverged species of the parasitoid wasp genus Nasonia to test whether the evolutionary relationships of their bacterial microbiotas recapitulate the Nasonia phylogenetic history. We also assessed microbial diversity in Nasonia at different stages of development to determine the role that host age plays in microbiota structure. The results indicate that all three species of Nasonia share simple larval microbiotas dominated by the γ‐proteobacteria class; however, bacterial species diversity increases as Nasonia develop into pupae and adults. Finally, under identical environmental conditions, the relationships of the microbial communities reflect the phylogeny of the Nasonia host species at multiple developmental stages, which suggests that the structure of an animal's microbial community is closely allied with divergence of host genes. These findings highlight the importance of host evolutionary relationships on microbiota composition and have broad implications for future studies of microbial symbiosis and animal speciation.
Endovascular Therapy in Ischemic Stroke With Acute Large‐Vessel Occlusion: Recovery by Endovascular Salvage for Cerebral Ultra‐Acute Embolism Japan Registry 2

Background Endovascular therapy has been shown to be effective in patients with acute cerebral large‐vessel occlusion, but real‐world efficacies are unknown. Methods and Results We conducted a prospective registry at 46 centers between October 2014 and January 2017. Eligible patients were those who were aged 20 years or older, with acute cerebral large‐vessel occlusion, and who were hospitalized within 24 hours of the onset. We enrolled both consecutive patients who were treated with or without endovascular therapy. Endovascular therapy included thrombectomy, balloon angioplasty, stenting, local fibrinolysis, and piercing. The primary outcome was a favorable outcome as defined by a modified Rankin Scale of 0 to 2 at 90 days after onset. Secondary outcomes were modified Rankin Scale of 0 to 1 and mortality. Safety outcomes were intracerebral hemorrhage or a recurrence of ischemic stroke. We constructed the 2242 (1121 each) propensity score–matched patients cohort based on a propensity score for endovascular therapy and estimated the adjusted odds ratio, followed by sensitivity analyses on original 2399 (1278 in endovascular therapy versus 1121 in no endovascular therapy) patients. In the propensity score–matched cohort, favorable outcomes were observed in 35.3% and 30.7% of patients in the endovascular therapy and no endovascular therapy groups, respectively (P=0.02). The adjusted odds ratio for the favorable outcome was 1.44 (95% confidence interval, 1.10–1.86, P=0.007). The efficacy of endovascular therapy in achieving favorable outcomes did not differ between our subgroups and in the sensitivity analyses. Conclusions Endovascular therapy decreased disabilities at 90 days in real‐world patients with acute cerebral large‐vessel occlusion. Clinical Trial Registration URL: http://www.clinicaltrials. gov. Unique identifier: NCT02419794.
Portfolio Choice Under Cumulative Prospect Theory: An Analytical Treatment

We formulate and carry out an analytical treatment of a single-period portfolio choice model featuring a reference point in wealth, S-shaped utility (value) functions with loss aversion, and probability weighting under Kahneman and Tversky's cumulative prospect theory (CPT). We introduce a new measure of loss aversion for large payoffs, called the large-loss aversion degree (LLAD), and show that it is a critical determinant of the well-posedness of the model. The sensitivity of the CPT value function with respect to the stock allocation is then investigated, which, as a by-product, demonstrates that this function is neither concave nor convex. We finally derive optimal solutions explicitly for the cases in which the reference point is the risk-free return and those in which it is not (while the utility function is piecewise linear), and we employ these results to investigate comparative statics of optimal risky exposures with respect to the reference point, the LLAD, and the curvature of the probability weighting. This paper was accepted by Wei Xiong, finance.
Robust language analysis and generation for spoken dialogue systems

Spoken dialogue systems have to deal with imperfect speech recognition. We describe how we address the resulting robustness challenges both on the interpretation side (via combining complementary parsing and classification techniques) and on the generation side (via robustness to ill-formed generation input, and use of clarification questions). We describe empirical results obtained from a user study involving 20 subjects.
Parallel Computation of Turbine Blade Clocking

This paper presents a numerical study of airfoil clocking of a six-row test turbine configuration with equal pitches. Since the rotor-stator interaction flow is highly unsteady, the numerical simulation of airfoil clocking requires the use of time marching methods, which can be computationally expensive. The large turnaround time and the associated cost for such simulations makes it unacceptable for the turbomachinery design process. To reduce the turnaround time and cost/MFLOP, a parallel code based on Message-Passing Interface libraries was developed. The relative circumferential positions of the three stator and three rotor rows in an industrial steam turbine were varied to increase turbine efficiency. A grid density study was performed to verify the grid independence of the computed solutions. The clocking of the second-stage airfoils gave approximately a 50% greater efficiency variation than the clocking of the third-stage airfoils. This was true for clocking both rotor and stator airfoils. Rotor clocking produces an efficiency variation which is approximately twice the efficiency variation produced by stator clocking. For both stator and rotor clocking, the maximum efficiency is obtained when the wake impinges on the leading edge of the clocked airfoil. NOMENCLATURE p Pressure T Temperature η Efficiency γ Ratio of specific heats of a gas
Efficacy and Effectiveness of Antidepressants: Current Status of Research

Background: This paper examines the current status of research on the efficacy and effectiveness of antidepressants. Methods: This paper reviews four meta-analyses of efficacy trials submitted to America’s Food and Drug Administration (FDA) and analyzes STAR*D (Sequenced Treatment Alternatives to Relieve Depression), the largest antidepressant effectiveness trial ever conducted. Results: Meta-analyses of FDA trials suggest that antidepressants are only marginally efficacious compared to placebos and document profound publication bias that inflates their apparent efficacy. These meta-analyses also document a second form of bias in which researchers fail to report the negative results for the pre-specified primary outcome measure submitted to the FDA, while highlighting in published studies positive results from a secondary or even a new measure as though it was their primary measure of interest. The STAR*D analysis found that the effectiveness of antidepressant therapies was probably even lower than the modest one reported by the study authors with an apparent progressively increasing dropout rate across each study phase. Conclusions: The reviewed findings argue for a reappraisal of the current recommended standard of care of depression.
The Adaptive Nature of Visual Working Memory

A growing body of scientific evidence suggests that visual working memory and statistical learning are intrinsically linked. Although visual working memory is severely resource limited, in many cases, it makes efficient use of its available resources by adapting to statistical regularities in the visual environment. However, experimental evidence also suggests that there are clear limits and biases in statistical learning. This raises the intriguing possibility that performance limitations observed in visual working memory tasks can to some degree be explained in terms of limits and biases in statistical-learning ability, rather than limits in memory capacity.
Endogenous Role Assignment and Team Performance

We study how the mechanism used for assigning roles within teams affects team performance. Subjects play the takeover game in buyer-seller teams. Understanding optimal play is demanding for buyers and trivial for sellers, so teams should perform better if the buyer is the abler teammate. When teammates are allowed to jointly choose their roles, abler teammates tend to become buyers, but this is more than offset by disruptions to the learning process. We examine two potential sources for the latter effect, and find that endogenous role assignment has a negative psychological and emotional effect on buyers.
Citizen's Adoption Of Mobile Land Record Information Systems (mLRMIS): A Case of Pakistan

By implementing a prolonged social cognitive theory (SCT) this article investigates factors including outcome expectation, affect, anxiety, self-efficacy, social influence, trust, facilitating conditions, e-satisfaction, information quality and e-service quality impacting citizen’s intention to adopt a mobile based e-government system called mobile Land Record Information Systems (mLRMIS) with respect to Pakistan. The prolonged social cognitive theory (SCT) was actually affirmed by analyzing gathered data periodically accumulated over time from 10 different cities in Pakistan. Verifiable results of the proposed model represented mutual significance of relationships of 12 hypothesized relations between 10 different types of constructs. Only a few studies have previously used SCT model to investigate the adoption of an e-government system globally while in case of Pakistan it is the first ever study using SCT model to figure out the adoption of an e-government system. Outcome significance and digital policy substance exhibited in this article can assist e-government planners and practitioners to reform up quality and effectivity of mLRMIS system. This research also contributes to elevate relevant awareness and utilization of mLRMIS system.
ACOUSTICALLY DRIVEN MICROFLUIDIC MICROMOTOR FOR LAB-ONA-MICRODISC

We report on the implementation of a novel surface acoustic wave driven fluid-coupled rotational micromotor. A pair of opposing surface acoustic waves were generated on a Lithium Niobate substrate, geometrically tailored to asymmetrically enter the water fluid coupling layer. This generated high rotational velocities in the fluid coupling layer and subsequently the disc. Rotation of a 5 mm diameter disc was driven up to speeds of 2,250 rpm, with a start up torque of over 60 nN m. The radial accelerations shown, up to 139 m/s2, provide opportunities for truly microscale lab-on-a-chip devices.
OrientStream: A Framework for Dynamic Resource Allocation in Distributed Data Stream Management Systems

Distributed data stream management systems (DDSMS) are usually composed of upper layer relational query systems (RQS) and lower layer stream processing systems (SPS). When users submit new queries to RQS, a query planner needs to be converted into a directed acyclic graph (DAG) consisting of tasks which are running on SPS. Based on different query requests and data stream properties, SPS need to configure different deployments strategies. However, how to dynamically predict deployment configurations of SPS to ensure the processing throughput and low resource usage is a great challenge. This article presents OrientStream, a framework for dynamic resource allocation in DDSMS using incremental machine learning techniques. By introducing the data-level, query plan-level, operator-level and cluster-level's four-level feature extraction mechanism, we firstly use the different query workloads as training sets to predict the resource usage of DDSMS and then select the optimal resource configuration from candidate settings based on the current query requests and stream properties. Finally, we validate our approach on the open source SPS--Storm. Experiments show that OrientStream can reduce CPU usage of 8%-15% and memory usage of 38%-48% respectively.
Monumental ideology: A GIS spatial analysis of interior features of Matakawau Pa, Ahuahu (Stingray Point Pa, Great Mercury Island), New Zealand

The physical and symbolic organisation of space in constructed environments both reflects and influences human action. With the case study of Matakawau Pa (Tl0/169), Ahuahu (Stingray Point Pa, Great Mercury Island), New Zealand, I analyse a terrestrial laser scan point cloud to address how archaeological feature morphologies and spatial relationships reflect spatial logics of the last inhabitants of this Maori headland pa (fortified or defended place). Feature shape and location in relation to other features, slope and aspect are considered, along with a least cost path analysis of likely routes of movement between features. Materialised ideologies relating to social hierarchy are argued to be apparent in the orientation and shape of the constructed features, a platform and adjacent terraces. Boundaries and pathways within the pa confined and redirected movement laterally to open communal areas.