Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimization of Infrared Radiation Heating in Disinfestations of Organic Hom Mali Rice

There is a difficulty in using chemical in disinfestations process in organic rice products therefore, this research was aimed to study the optimal setting of infrared radiation heating for disinfestations in Organic Hom Mali Rice. Disinfestations process and rice storage were collected by surveying coupled with interviewing the rice milling enterprise. The infrared radiation heating used in this experiment was belt type with lamp power of 1000 watt. In this study, Design of experimental technique was applied to generate the optimum setting of the infrared heating process. The experiments generated by Box Behnken design were 15 experiments and 2 replicate times, therefore the total experiments were 30 times. The 3 factors include heating temperature, gap between rice and infrared lamp and rice layer thickness. The result from statistical data analysis at reliability level of 95 % shown that the optimization value were heating temperature of 70 C, height of lamp above rice of 10 cm. and rice thickness of 0.5 cm, insects mortality rate within 2-3 minutes. Rice after heating were subjected to naturally slow cooling by air, therefore rice quality in a good condition without broken or cracking.
Primary Ciliary Dyskinesia in Children: A Review for Pediatricians, Allergists, and Pediatric Pulmonologists.

Primary ciliary dyskinesia (PCD) is a rare genetic condition that causes impaired mucociliary clearance due to poorly functioning cilia. PCD is one disease manifestation of the many recently recognized associations with ciliary malfunction, referred to as "ciliopathies. " Manifestations of PCD commonly begin in the neonatal period with cough, pneumonia, and chronic ear infections or effusions. Approximately half of the affected individuals have situs inversus totalis. The diagnosis is often made in later childhood or early adulthood, because symptoms mimic more common childhood illnesses and because the definitive diagnosis of PCD can be challenging. Treatment recommendations are largely based on therapies used for other conditions with impaired mucociliary clearance in the absence of evidence-based research specific for PCD. Early recognition and initiation of both otolaryngologic and pulmonary management might reduce potential long-term morbidities. The purpose of this article is to update primary care providers, allergists, and pediatric pulmonologists on recent advances in this interesting condition.
Natural Fibres From the Bark of Mulberry Branches for Textile Application

Fibers with low gum content were extracted from the bark of mulberry branches by a combination of bacteria and peroxide treatments. The bark of mulberry branches, with 30% cellulose, is a copious and inexpensive source of natural fibers. However, fibers extracted by microwave, enzyme or alkali had a high gum content (15.5% for hemicellulose and 8.6% for lignin), which rendered them difficult to be made into highvalue textiles. In this research, strains with high polygalacturonase activities and subsequent hydrogen peroxide decreased the hemicellulose content to 2.5% and lignin content to 2.4%. Mulberry fibers in our study could be spun into yarns with a fineness of 18.2 tex. Compared to flax yarns, mulberry fiber yarns had a tenacity 20% higher, an elongation 18% higher and an unevenness 30% lower. Cotton/mulberry fiber fabrics had softer and smoother hand than cotton/flax fabrics. Overall, the fibers in our study show better potential for industrial textile applications than those in previous studies.
Tumor Hyperthermia and Ablation in Rats using a Clinical MR-HIFU System Equipped with a Dedicated Small Animal Setup

Purpose: Treatment of malignant tumors by either hyperthermia induced drug delivery or thermal ablation requires complete coverage of the treatment area and precise control of the thermal dose.Both can be achieved by volumetric ultrasonic heating in combination with simultaneous MR-based temperature mapping. The translation ofthese techniques to the clinic requires thorough preclinical testing in large cohorts. Mouse and rat studies are preferred over largeranimals for ethical reasons as well as the larger variety of available tumor models. Our work aims to develop temperature induced drug delivery and ablation protocols in rats and to subsequently evaluatetreatment outcome using small animal imaging methods. To this end, we adapted a clinical MR-HIFU system for the treatment of rats by utilizing a dedicated small animal setup. Methods: All animals were positioned in a HIFU dedicated small animal 4-channel MR volume coil that was used as add-on to a clinical 3T Philips Sonalleve MR-HIFU system. Hyperthermia was performed for 15 min using binary temperaturecontrol on lateral gastrocnemius muscle (n = 5) and on subcutaneousinoculated tumors on the hind limb of rats (9L rat glioma; n = 5). For thermal ablation, tumors were partly heated to T = 65 °C with continuous wave ultrasound (1.44 MHz) under MR temperature monitoring(n = 5). The treatment effect was assessed with T2-weighted imagingand dynamic contrast enhanced (DCE-) MRI using Gd-DTPA as contrast agent. Excised muscle and tumors were further evaluated with histology. Results: The target temperatures were readily achieved in hyperthermia and ablation treatments while changes in body temperature remained below 1 °C. For hyperthermia treatments, no indication of tissue damage was found on MR images. Analysis of the Gd-DTPA uptake kinetics post ablation indicated a difference in non-perfused volume inthe tumor of 371 ± 123 mm3 (Δ tissue volume with ktrans ≥ 0.04 min-1). NADH-diaphorase staining of ablated tumors showed a sharp demarcation between viable and non-viable cells. Conclusion: These results demonstrate that both controlled hyperthermia and thermal ablation treatment of malignant tumors in small animals can be performed on a clinical MR-HIFU system. This approach provides all theadvantages of clinical MR-HIFU, such as volumetric heating, temperature feedback control and a clinical software interface, while also having many of the advantages of a dedicated small animal system. Theuse of a clinical system facilitates a rapid translation of these protocols into the clinic.
Distributed MPC strategy with application to AGC in the presence of variable speed wind turbine

The paper addresses a new distributed model predictive control (MPC) algorithm for load-frequency control (LFC) of a four-area interconnected power system, which takes the effect of a wind turbine into account at the same time. The overall system is decomposed into four subsystems, where each control area has an independent MPC controller. These subsystem-based MPC controllers work cooperatively while satisfying systemwide optimal problems. Simulation results show that with the proposed distributed MPC technique, the overall system has good performance in face of load disturbance, while respecting generation rate constraints (GRC).
Verrucous porokeratosis of the gluteal cleft (porokeratosis ptychotropica): a rare disorder easily misdiagnosed

Porokeratosis represents a heterogeneous group of disorders characterized clinically by a distinctive ridge‐like border and histologically by cornoid lamellae. A verrucous variant of porokeratosis involving the gluteal cleft has been recently described. We present 5 new cases and review the current literature to highlight the clinical and histopathologic features of this disorder. Descriptive terms including hyperkeratotic porokeratosis, genitogluteal porokeratosis, porokeratoma, follicular porokeratosis, and porokeratosis ptychotropica have all been used to describe this verrucous variant of porokeratosis involving the gluteal cleft. To avoid further confusion, we propose a consolidation of terminologies and suggest verrucous porokeratosis be added to the commonly described variants of porokeratosis.
Sequencing of 2 Subclinical Atherosclerosis Candidate Regions in 3669 Individuals: Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium Targeted Sequencing Study

Background—Atherosclerosis, the precursor to coronary heart disease and stroke, is characterized by an accumulation of fatty cells in the arterial intimal-medial layers. Common carotid intima media thickness (cIMT) and plaque are subclinical atherosclerosis measures that predict cardiovascular disease events. Previously, genome-wide association studies demonstrated evidence for association with cIMT (SLC17A4) and plaque (PIK3CG). Methods and Results—We sequenced 120 kb around SLC17A4 (6p22.2) and 251 kb around PIK3CG (7q22.3) among 3669 European ancestry participants from the Atherosclerosis Risk in Communities (ARIC) study, Cardiovascular Health Study (CHS), and Framingham Heart Study (FHS) in Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. Primary analyses focused on 438 common variants (minor allele frequency ≥1%), which were independently meta-analyzed. A 3′ untranslated region CCDC71L variant (rs2286149), upstream from PIK3CG, was the most significant finding in cIMT (P=0.00033) and plaque (P=0.0004) analyses. A SLC17A4 intronic variant was also associated with cIMT (P=0.008). Both were in low linkage disequilibrium with the genome-wide association study single nucleotide polymorphisms. Gene-based tests including T1 count and sequence kernel association test for rare variants (minor allele frequency <1%) did not yield statistically significant associations. However, we observed nominal associations for rare variants in CCDC71L and SLC17A3 with cIMT and of the entire 7q22 region with plaque (P=0.05). Conclusions—Common and rare variants in PIK3CG and SLC17A4 regions demonstrated modest association with subclinical atherosclerosis traits. Although not conclusive, these findings may help to understand the genetic architecture of regions previously implicated by genome-wide association studies and identify variants within these regions for further investigation in larger samples.
Fuzzy Adaptive Output-Feedback Control Design for Nonlinear Dynamic Systems with Output Delay

In this paper, a fuzzy adaptive output feedback control design method for a class of nonlinear output-delayed single-input single-output systems with guaranteed control performance is proposed. First, the Takagi and Sugeno fuzzy model is employed to approximate a nonlinear system. Next, based on the fuzzy model, a fuzzy observer-based controller is developed to achieve the control performance with a desired disturbance rejection constraint. The fuzzy adaptive observers consist of a serial-observation algorithm to reconstruct the system states at different delayed time instants for state estimation. Based on the Lyapunov synthesis approach, a global uniform ultimate boundedness property (UUB) of the state estimation errors and tracking errors in the closed-loop system can be achieved. According to some conditions, global exponential convergence to a bounded value for the observation error is ensured for any given delay in the measurements. Finally, an inverted pendulum system is used to illustrate the effectiveness of the proposed method.
Subspace Clustering with Applications to Dynamical Vision ( CS 229 Final Project )

Data that arises from engineering applications often contains some type of low dimensional structure that enables intelligent representation and processing. This leads to a very challenging problem: discovering compact representations of high-dimensional data. A very common approach to address this problem is modeling data as a mixture of multiple linear (or affine) subspaces. Given a set of data points drawn from a union of subspaces, subspace clustering refers to the problem of finding the number of subspaces, their dimension and the segmentation of data. In this sense, subspace clustering can be thought of as a generalization of the Principal Component Analysis (PCA) method. In PCA, the underlying assumption is that the data is drawn from a single subspace while in subspace segmentation, data is assumed to be concentrated around multiple low rank subspaces. A number of methods have been developed to address the subspace clustering problem, including algebraic methods, spectral clustering-based methods and statistical methods. On the heels of compressed sensing and low rank matrix recovery[1, 2, 3], a new class of algorithms have very recently emerged. These algorithms try to represent each data point, in a union of subspaces, as a linear combination of all other points. By enforcing a low dimensional structure on this representation (e.g. l1-norm for sparsity or nuclear norm for low-rankness), an affinity matrix is built which is subsequently used for subspace segmentation. This new approach resolves the exponential complexity issues of some of the previous methods and is more robust to noisy data. Motivated by this approach, we propose a new algorithm, called Nuclearl1 for the segmentation problem. Moreover, we present an iterative scheme as an alternative method for handling large scale problems. Subspace segmentation has many applications in computer vision, image processing, and system theory. In this project we will mainly focus on motion segmentation, and use the Nuclear-l1 algorithm for this problem. Based on the simulation results on the Hopkins155 motion database, the performance of Nuclear-l1 is quite competitive.
Saving Cash by Using Less Cache

Everyone loves a large caching tier in their multitier cloud-based web service because it both alleviates database load and provides lower request latencies. Even when load drops severely, administrators are reluctant to scale down their caching tier. This paper makes the case that (i) scaling down the caching tier is viable with respect to performance, and (ii) the savings are potentially huge; e.g., a 4x drop in load can result in 90% savings in the caching tier size.
Athena: An User-Centered Adaptive Interface

The emergence of adaptive interfaces [Benyon 1993, Benyon & Murray 1988] provides a satisfactory framework for taking into account users heterogeneity. In adapting to the user’s characteristics, these interfaces could, in principle, minimize training and support costs, as well as improve user’s satisfaction and productiveness. However, so far, there is no general agreement on adaptive interface models. There is neither a widely accepted enumeration of relevant types of adaptations the interface should be able to undertake (not only cosmetic ones), nor a definite study on the impact of these adaptations in users’ learning and performance.
Insulin‐specific T cells are a predominant component of islet infiltrates in pre‐diabetic NOD mice

Numerous investigations have demonstrated that T cells are involved in destruction of β cells in the NOD mouse, a widely studied model of type I diabetes. In this report we describe a series of islet‐specific T cell lines established from islet‐infiltrating lymphocytes obtained from individual pre‐diabetic NOD mice as well as a large panel of clones derived from these lines. Proliferation assays indicated that these nominally islet‐specific lines responded vigorously to porcine insulin. Furthermore, of 40 islet‐specific clones derived from lines established from 12‐week‐old mice, 22 (55%) responded to insulin. A similar analysis of islet‐specific clones established from 7‐week‐old mice indicated that 2 of 14 (14%) were insulin specific. These findings demonstrate that insulin‐specific T cells can comprise a major portion of the spontaneously arising T cell response to islets in NOD mice.
Purcell effect for active tuning of light scattering from semiconductor optical antennas

Tuning the scattering of light The development of nanophotonic technology relies on the ability to control and manipulate light at the nanometer scale. Most devices developed to date have been passive structures or have shown only modest changes in optical properties under an external stimulus. Holsteen et al. tuned the resonant scattering wavelength of silicon nanowires across the entire visible spectrum simply by adjusting the height of the nanowire above a metallic mirror. This nano-electromechanical system illustrates the potential for developing active optical platforms. Science, this issue p. 1407 Light scattered from a silicon nanowire can be tuned across the entire visible range. Subwavelength, high–refractive index semiconductor nanostructures support optical resonances that endow them with valuable antenna functions. Control over the intrinsic properties, including their complex refractive index, size, and geometry, has been used to manipulate fundamental light absorption, scattering, and emission processes in nanostructured optoelectronic devices. In this study, we harness the electric and magnetic resonances of such antennas to achieve a very strong dependence of the optical properties on the external environment. Specifically, we illustrate how the resonant scattering wavelength of single silicon nanowires is tunable across the entire visible spectrum by simply moving the height of the nanowires above a metallic mirror. We apply this concept by using a nanoelectromechanical platform to demonstrate active tuning.
A Comparative Study of Fine Grained Security Techniques Based on Data Accessibility and Inference

This paper analyzes different techniques of the fine grained security of relational databases for the two variables-data accessibility and inference. Data accessibility measures the amount of data available to the users after applying a security technique on a table. Inference is the proportion of information leakage after suppressing a cell containing secret data. A row containing a secret cell which is suppressed can become a security threat if an intruder generates useful information from the related visible information of the same row. This paper measures data accessibility and inference associated with row, cell, and column level security techniques. Cell level security offers greatest data accessibility as it suppresses secret data only. But on the other hand, there is a high probability of inference in cell level security. Row and column level security techniques have least data accessibility and inference. This paper introduces cell plus innocent security technique that utilizes the cell level security method but suppresses some innocent data to dodge an intruder that a suppressed cell may not necessarily contain secret data. Four variations of the technique namely cell plus innocent 1/4, cell plus innocent 2/4, cell plus innocent 3/4, and cell plus innocent 4/4 respectively have been introduced to suppress innocent data equal to 1/4, 2/4, 3/4, and 4/4 percent of the true secret data inside the database. Results show that the new technique offers better control over data accessibility and inference as compared to the state-of-the- art security techniques. This paper further discusses the combination of techniques together to be used. The paper shows that cell plus innocent 1/4, 2/4, and 3/4 techniques can be used as a replacement for the cell level security.
Handling large search space in pattern-based reverse engineering

Large industrial legacy systems are challenges of reverse-engineering activities. Reverse-engineering approaches use text-search tools based on regular expressions or work on graph representations of programs, such as abstract syntax graphs. Analyzing large legacy systems often fail because of the large search space. Our approach to handle large search space in pattern-based reverse engineering is to allow imprecise results in means of false positives. We use the theory of fuzzy sets to express impreciseness and present our approach on the example of recovering associations.
The In Vivo Dynamic Organization of BRCA1‐A Complex Proteins at DNA Damage‐Induced Nuclear Foci

The breast cancer associated gene 1 (BRCA1)‐A protein complex assembles at DNA damage‐induced nuclear foci to facilitate repair of double‐stranded breaks. Here, we describe the first systematic comparison of the dynamics, copy number and organization of its core components at foci. We show that the protein pools at individual foci generally comprise a small immobile fraction (∼20%) and larger mobile fraction (∼80%), which together occupy the same focal space but exist at different densities. In the mobile fraction, Abraxas (CCDC98) and the heterodimer BARD1–BRCA1 share similar rates of dynamic exchange (complete turnover in ∼500 seconds). In contrast, RAP80, which is required for initial foci assembly, was more dynamic with 25‐fold faster turnover at mature foci. In addition, Abraxas, BARD1, BRCA1 and Merit40 (NBA1) were stably retained in the immobile fraction of foci under conditions causing loss of BRCC36 and RAP80, suggesting a shift to RAP80‐independent localization after foci formation. These results, combined with our finding that RAP80 (∼1200 copies per focus) is twofold more abundant than Abraxas/BARD1/BRCA1 at foci, suggest new models defining the dynamic organization of BRCA1‐A complex at mature foci, wherein the unusually fast turnover of RAP80 may contribute to its regulation of BRCA1‐dependent DNA repair.
A Framework for Enabling Security Services Collaboration Across Multiple Domains

Collaboration among Security Service Functions (SSF) is expected to become as essential to SECaaS (SECurity as a Service) systems as elasticity is to IaaS (Infrastructure as a Service). The virtualization opens new era in network security as new security appliances can be created on demand in appropriate places in the network. At the same time, the increasing size and diversity of attacks make it necessary to come up with new approaches for more efficient and more resilient security mechanisms. In this paper, we propose a new framework leveraging SDN (Software Defined Networking) and SFC (Service Function Chaining) to enhance the collaboration among different SSFs to mitigate large scale attacks. We describe a framework that allows SSFs from different domains to negotiate and dynamically control the amount of resources allocated for collaboration, in what we call a "best-effort" collaboration mode. This SSF collaboration framework creates a distributed mitigation system for handling large scale attacks in a dynamic and scalable manner. The efficiency and feasibility of this framework is experimentally assessed, showing that our approach incurs low overhead, increases the amount of traffic treated by SSFs and reduces the dropped traffic due to the lack of resources from the security mechanisms.