Miracle-dz/UniFAR-FTUs huggingface dataset:
Radial Line Fourier Descriptor for Handwritten Word Representation

Automatic recognition of historical handwritten manuscripts is a daunting task due to paper degradation over time. The performance of information retrieval algorithms depends heavily on feature detection and representation methods. Although there exist popular feature descriptors such as Scale Invariant Feature Transform and Speeded Up Robust Features, in order to represent handwritten words in a document, a robust descriptor is required that is not over-precise. This is because handwritten words across different documents are indeed similar, but not identical. Therefore, this paper introduces a Radial Line Fourier (RLF) descriptor for handwritten word feature representation, which is fast to construct and short-length with 32 elements only. The effectiveness of the proposed RLF descriptor is empirically evaluated using the VLFeat benchmarking framework (VLBenchmarks), and for handwritten word image representation using a historical marriage records dataset.
miR-1290 promotes lung adenocarcinoma cell proliferation and invasion by targeting SOCS4

miRNAs play important roles in lung adenocarcioma (LADC) progression. We previously found that miR-1290 expression was upregulated in LADC tissue and serum samples from patients with LADC, and correlated with prognosis. However, the biological role of miR-1290 in LADC and mechanism of such role are poorly understood. Here, we found that miR-1290 overexpression promoted LADC cell proliferation, cell cycle progression and invasion, while suppressing cell apoptosis in vitro. Furthermore, miR-1290 promoted tumor growth, invasion and metastasis in vivo. miR-1290 downregulated suppressor of cytokine signaling 4 (SOCS4) at both the mRNA and protein levels by targeting SOCS4. Reduced SOCS4 level reversed the inhibitory effect of miR-1290 downregulation on cell proliferation and invasion. miR-1290 activated the JAK/STAT3 and PI3K/AKT signaling pathways by targeting SOCS4. An inverse correlation was observed between miR-1290 and SOCS4 expression in LADC tissues. Clinicopathological characteristics analysis showed that SOCS4 expression was negatively associated with higher clinical stage and lymph node metastasis. These observations suggest that miR-1290 promotes LADC cell proliferation and invasion by targeting SOCS4.
CLUSTER BASED ROUTING PROTOCOL FOR WIRELESS SENSOR NETWORKS

Wireless Sensor Network (WSN) is an emerging technology that is predicted to change the human life in future. It can be deployed in such situation where human interaction is not possible like border area tracking enemy movement or fire detection system. Wireless sensor networks have critical applications in scientific, medical, industrial and military domains. Information is collected from many sensor devices and they can be used for further consumer application in the Sensor network. In such a case routing is very prominent one. Routing is the process of selecting paths in a network along which to send network traffic. But, various routing protocols have been proposed, but they are not scalable. In this paper, we propose cluster based routing protocol (CBRP) based on Inter-cluster Routing algorithm and Intra cluster routing algorithm, which provides low cost communication between clusters. Through our new protocols have increased the throughput and number of packets in the network and we decreased the average latency and control overhead. At present the proposed idea is implemented and tested for both intra cluster routing and inter cluster routing. We have also evaluated the performance of CBRP with AODV (Adhoc On-Demand Distance Vector), DSDV (Destination-Sequenced Distance Vector) and DSR (Dynamic Source Routing).
Modeling LCD displays with local backlight dimming for image quality assessment

Traditionally, algorithm-based (objective) image and video quality assessment methods operate with the numerical presentation of the signal, and they do not take the characteristics of the actual output device into account. This is a reasonable approach, when quality assessment is needed for evaluating the signal quality distortion related directly to digital signal processing, such as compression. However, the physical characteristics of the display device also pose a significant impact on the overall perception. In order to facilitate image quality assessment on modern liquid crystaldisplays (LCD) using light emitting diode (LED) backlight with local dimming, we present the essential considerations and guidelines for modeling the characteristics of displays with high dynamic range (HDR) and locally adjustable backlight segments. The representation of the image generated by the model can be assessed using the traditional objective metrics, and therefore the proposed approach is useful for assessing the performance of different backlight dimming algorithms in terms of resulting quality and power consumption in a simulated environment. We have implemented the proposed model in C++ and compared the visual results produced by the model against respective images displayed on a real display with locally controlled backlight units.
Mutational and Structural Analyses of Caldanaerobius polysaccharolyticus Man5B Reveal Novel Active Site Residues for Family 5 Glycoside Hydrolases

CpMan5B is a glycoside hydrolase (GH) family 5 enzyme exhibiting both β-1,4-mannosidic and β-1,4-glucosidic cleavage activities. To provide insight into the amino acid residues that contribute to catalysis and substrate specificity, we solved the structure of CpMan5B at 1.6 Å resolution. The structure revealed several active site residues (Y12, N92 and R196) in CpMan5B that are not present in the active sites of other structurally resolved GH5 enzymes. Residue R196 in GH5 enzymes is thought to be strictly conserved as a histidine that participates in an electron relay network with the catalytic glutamates, but we show that an arginine fulfills a functionally equivalent role and is found at this position in every enzyme in subfamily GH5_36, which includes CpMan5B. Residue N92 is required for full enzymatic activity and forms a novel bridge over the active site that is absent in other family 5 structures. Our data also reveal a role of Y12 in establishing the substrate preference for CpMan5B. Using these molecular determinants as a probe allowed us to identify Man5D from Caldicellulosiruptor bescii as a mannanase with minor endo-glucanase activity.
Waveform classification based on wavelet transform and K-means clustering

Waveform classification is a primitive step of many signal processing problems, such as ECG processing and the analysis of power bus signal. In order to judge whether the power bus signal works well, comparison needs to be made between real waveforms and standard waveforms. General methods derived from time domain or frequency domain lapse according to different amplitudes and sampling rates of the electric waveforms. Due to different sampling rates, similar waveforms in time domain appear distinctly in frequency domain. Because of the superposition and incongruous time sequence, similar waveforms in frequency domain may vary temporally. We extract wavelet features and classify real electronic waveforms by K-means clustering. The classification results on proposed waveforms that labeled artificially have been demonstrated using leave-one-out cross validation.
Role of the PEST sequence in the long-type GATA-6 DNA-binding protein expressed in human cancer cell lines

GATA-6 mRNA utilizes two Met-codons in frame as translational initiation codons in cultured mammalian cells. Deletion of the nucleotide sequence encoding the PEST sequence between the two initiation codons unusually reduced the protein molecular size on SDS-polyacrylamide gel-electrophoresis. The reduced molecular size is ascribed to the molecular property of GATA-6, since both amino-and carboxy-lterminal tags introduced into GATA-6 were detected on the gel. This PEST sequence seems to contribute to expansion of the long-type GATA-6 molecule. The long-type GATA-6 containing the PEST sequence exhibits more activation potential than that without this sequence, the latter’s activity being similar to that of the short-type GATA-6. We further demonstrated that human colon and lung cancer cell lines express both the long-type GATA-6 and the short-type GATA-6 in their nuclei.
Clinically relevant concentrations of opioids for in vitro studies.

OBJECTIVES Numerous in vitro studies have evaluated the influence of opioids on many biological and immunological processes. The concentrations that have been used in these studies span a large range and often do not reflect levels that are present in the relevant patient groups. This article reviews the literature concerning the concentrations of opioids that are detected in patients so that the concentrations of opioids that are used for in vitro studies can better reflect those that are present clinically. This will enable scientists and clinicians to more effectively model and interpret potentially relevant clinical effects from in vitro studies. METHODS Data on the concentrations of six commonly used opioids from clinical studies in adults were collected by searching PubMed (Medline). RESULTS A total of 42 relevant studies were included in the review. Concentrations of the opioids from previous clinical studies were mostly between 1 and 10 ng/mL for buprenorphine, 1 and 10 ng/mL for fentanyl, 50 and 500 ng/mL for methadone, 25 and 250 ng/mL for morphine, 10 and 100 ng/mL for oxycodone, and 100 and 1,000 ng/mL for Tramadol and were dependent on the patient group and indication under investigation. CONCLUSIONS Concentrations of opioids used in vitro should include those that are present in the relevant clinical setting if the effects of opioids detected in vitro are to be of potential relevance to the clinical setting. Therefore, it is essential that these concentrations in the relevant clinical context(s) are known.
Enhancement of Chemical Entity Identification in Text Using Semantic Similarity Validation

With the amount of chemical data being produced and reported in the literature growing at a fast pace, it is increasingly important to efficiently retrieve this information. To tackle this issue text mining tools have been applied, but despite their good performance they still provide many errors that we believe can be filtered by using semantic similarity. Thus, this paper proposes a novel method that receives the results of chemical entity identification systems, such as Whatizit, and exploits the semantic relationships in ChEBI to measure the similarity between the entities found in the text. The method assigns a single validation score to each entity based on its similarities with the other entities also identified in the text. Then, by using a given threshold, the method selects a set of validated entities and a set of outlier entities. We evaluated our method using the results of two state-of-the-art chemical entity identification tools, three semantic similarity measures and two text window sizes. The method was able to increase precision without filtering a significant number of correctly identified entities. This means that the method can effectively discriminate the correctly identified chemical entities, while discarding a significant number of identification errors. For example, selecting a validation set with 75% of all identified entities, we were able to increase the precision by 28% for one of the chemical entity identification tools (Whatizit), maintaining in that subset 97% the correctly identified entities. Our method can be directly used as an add-on by any state-of-the-art entity identification tool that provides mappings to a database, in order to improve their results. The proposed method is included in a freely accessible web tool at www.lasige. di.fc. ul.pt/webtools/ice/.
Assessment of Implicit Self-Esteem in Older Adults: The Role of Actual and Ideal Self-Esteem in Negative Mood

The interplay between actual and ideal self-esteem may be a key component in emotional disorders. Since automatic self-evaluations are not always consciously accessible, assessment through implicit measures is necessary. Given the lack of implicit self-esteem measures in late life, we aimed to identify a reliable measure and to clarify the role of actual and ideal self-esteem in mood and depressive symptoms in older adults. Forty-nine older adults completed two adapted Go/No go Association tasks measuring implicit actual and ideal self-esteem and measures of mood and depressive symptoms. The two Go/No go Association tasks showed satisfactory internal consistency. Moderation analyses revealed that lower actual self-esteem in older adults is related to higher levels of sad mood when ideal self-esteem is high. Moreover, lower actual self-esteem is related to more anxious mood. Given the role of self-esteem in emotional well-being, a reliable measure for older adults is crucial to improve age-appropriate diagnostics and treatment.
Robust Target Speaker Tracking in Broadcast TV Streams

This paper addresses the problem of audio change detection and speaker tracking in broadcast TV streams. A two-pass audio change detection algorithm, which includes detection of the potential change boundaries and refinement, is proposed. Speaker tracking is performed based on the results of speaker change detection. In speaker tracking, Wiener filtering, endpoint detection of pitch, and segmental cepstral feature normalization are applied to obtain a more reliable result. The algorithm has low complexity. Our experiments show that the algorithm achieves very satisfactory results.
A programmable Si-photonic node for SDN-enabled Bloom filter forwarding in disaggregated data centers

Programmable switching nodes supporting Software-Defined Networking (SDN) over optical interconnecting technologies arise as a key enabling technology for future disaggregated Data Center (DC) environments. The SDNenabling roadmap of intra-DC optical solutions is already a reality for rack-to-rack interconnects, with recent research reporting on interesting applications of programmable silicon photonic switching fabrics addressing board-to-board and even on-board applications. In this perspective, simplified information addressing schemes like Bloom filter (BF)-based labels emerge as a highly promising solution for ensuring rapid switch reconfiguration, following quickly the changes enforced in network size, network topology or even in content location. The benefits of BF-based forwarding have been so far successfully demonstrated in the Information-Centric Network (ICN) paradigm, while theoretical studies have also revealed the energy consumption and speed advantages when applied in DCs. In this paper we present for the first time a programmable 4x4 Silicon Photonic switch that supports SDN through the use of BF-labeled router ports. Our scheme significantly simplifies packet forwarding as it negates the need for large forwarding tables, allowing for its remote control through modifications in the assigned BF labels. We demonstrate 1x4 switch operation controlling the Si-Pho switch by a Stratix V FPGA module, which is responsible for processing the packet ID and correlating its destination with the appropriate BF-labeled outgoing port. DAC- and amplifier-less control of the carrier-injection Si-Pho switches is demonstrated, revealing successful switching of 10Gb/s data packets with BF-based forwarding information changes taking place at a time-scale that equals the duration of four consecutive packets.
AutoFLox: An Automatic Fault Localizer for Client-Side JavaScript

Java Script is a scripting language that plays a prominent role in modern web applications today. It is dynamic, loosely typed, and asynchronous. In addition, it is extensively used to interact with the DOM at runtime. All these characteristics make Java Script code error-prone and challenging to debug. Java Script fault localization is currently a tedious and mainly manual task. Despite these challenges, the problem has received very limited attention from the research community. We propose an automated technique to localize Java Script faults based on dynamic analysis of the web application, tracing, and backward slicing of Java Script code. Our fault localization approach is implemented in an open source tool called Auto Lox. The results of our empirical evaluation indicate that (1) DOM-related errors are prominent in web applications, i.e., they form at least 79% of reported Java Script bugs, (2) our approach is capable of automatically localizing DOM-related Java Script errors with a high degree of accuracy (over 90%) and no false-positives, and (3) our approach is capable of isolating Java Script errors in a production web application, viz., Tumbler.
Novel 5-oxo-hexahydroquinoline derivatives: design, synthesis, in vitro P-glycoprotein-mediated multidrug resistance reversal profile and molecular dynamics simulation study

Overexpression of the efflux pump P-glycoprotein (P-gp) is one of the important mechanisms of multidrug resistance (MDR) in many tumor cells. In this study, 26 novel 5-oxo-hexahydroquinoline derivatives containing different nitrophenyl moieties at C4 and various carboxamide substituents at C3 were designed, synthesized and evaluated for their ability to inhibit P-gp by measuring the amount of rhodamine 123 (Rh123) accumulation in uterine sarcoma cells that overexpress P-gp (MES-SA/Dx5) using flow cytometry. The effect of compounds with highest MDR reversal activities was further evaluated by measuring the alterations of MES-SA/Dx5 cells’ sensitivity to doxorubicin (DXR) using MTT assay. The results of both biological assays indicated that compounds bearing 2-nitrophenyl at C4 position and compounds with 4-chlorophenyl carboxamide at C3 demonstrated the highest activities in resistant cells, while they were devoid of any effect in parental nonresistant MES-SA cells. One of the active derivatives, 5c, significantly increased intracellular Rh123 at 100 µM, and it also significantly reduced the IC50 of DXR by 70.1% and 88.7% at 10 and 25 µM, respectively, in MES-SA/Dx5 cells. The toxicity of synthesized compounds against HEK293 as a noncancer cell line was also investigated. All tested derivatives except for 2c compound showed no cytotoxicity. A molecular dynamics simulation study was also performed to investigate the possible binding site of 5c in complex with human P-gp, which showed that this compound formed 11 average H-bonds with Ser909, Thr911, Arg547, Arg543 and Ser474 residues of P-gp. A good agreement was found between the results of the computational and experimental studies. The findings of this study show that some 5-oxo-hexahydroquinoline derivatives could serve as promising candidates for the discovery of new agents for P-gp-mediated MDR reversal.
ANTIBACTERIAL ACTIVITY OF FERMENTED WHEY BEVERAGE BY PRODUCTS FROM BUFFALO DANGKE

Whey derived from by-product processing dangke Buffalo has not been widely utilized in Enrekang. Nutrition components of whey allow to be processed into fermented beverage products. Lactobacillus acidophilus FNCC 0051 is one of the bacteria used for the manufacture of fermented beverage products. The addition of these bacteria can be generated of functional food products. This product can inhibit the growth of pathogenic bacteria (antibacterial). The objectives of the research were to evaluate the antibacterial activity of fermented whey beverage ingredient by-product from Buffalo dangke . The research was conducted according to completely randomized design with a factorial pattern of sucrose level respectively: 0, 9, 12 and 14% as first factors and duration of incubation (4, 8, and 12 hours, respectively) as second factor and 5 replications. Inoculated whey with L. acidophilus then tested with pathogen bacteria ( S. aureus FNCC 0047 and E. coli FNCC 0091) to determine the inhibition zone as indicator of antibacterial activity. The results showed that whey fermentation using basic ingredients of buffalo dangke could inhibit the growth of S. aereus or E. coli . Inhibiton zone against pathogenic bacteria significantly enhanced as increasing level of sucrose or incubation time.
Development of a Contextualized Version of the Multiple Errands Test for People with Substance Dependence

Abstract Background: Substance dependence is associated with deficits in several areas of executive functioning, such as planning and multitasking. Traditional tests of executive functioning have been criticized for their low ecological validity. Shallice and Burgess (1991) developed the Multiple Errands Test (MET), where participants are required to perform multiple tasks in a real-world setting. In this study, we aimed to adapt the MET for use in populations with substance dependence. Objectives: This study aimed to: (1) examine the applicability of a contextualized version of the Multiple Errands Test, namely, the Multiple Errands Test – Contextualized Version (MET-CV); (2) study the testing context reliability and convergent validity of MET-CV scores; (3) compare the performance of people with substance dependence to a control group. Methods: Data were collected from 60 participants with substance dependence and 30 healthy controls. Both groups performed a neuropsychological assessment, which consisted of the MET-CV and traditional neuropsychological tests (Letter Number Sequencing, Zoo Map Test, Revised Strategy Application Test, Information Sampling Test, Stockings of Cambridge). Results: The MET-CV has adequate testing context reliability and moderate convergent validity relative to traditional planning measures. People with substance dependence (PWSD) showed significant deficits in executive function tests compared to healthy controls, most notably on the MET-CV rather than on traditional neuropsychological tests. Conclusions: The MET-CV can be feasibly applied in the context of therapeutic communities treatment in PWSD. The MET-CV showed adequate reliability and validity, and detected planning deficits in PWSD. (JINS, 2018, 24, 347–359)
NV-Tree: A Consistent and Workload-Adaptive Tree Structure for Non-Volatile Memory

The non-volatile memory (NVM) which can provide DRAM-like performance and disk-like persistency has the potential to build single-level systems by replacing both DRAM and disk. Keeping data consistency in such systems is non-trivial because memory writes may be reordered by CPU. Although ordered memory writes for achieving data consistency can be implemented using the memory fence and the CPU cache line flush instructions, they introduce a significant overhead (more than 10X slower in performance). In this paper, we focus on an important and common data structure, B <inline-formula><tex-math notation="LaTeX">$^+$</tex-math><alternatives> <inline-graphic xlink:type="simple" xlink:href="yang-ieq1-2479621.gif"/></alternatives></inline-formula>Tree. Based on our quantitative analysis for consistent tree structures, we propose NV-Tree, a consistent, cache-optimized and workload-adaptive B <inline-formula><tex-math notation="LaTeX">$^+$</tex-math><alternatives> <inline-graphic xlink:type="simple" xlink:href="yang-ieq2-2479621.gif"/></alternatives></inline-formula>Tree variant with significantly reduced consistency cost (up to 96 percent reduction in CPU cache line flush). To further optimize NV-Tree under various workloads, we propose a workload-adaptive scheme in which the sizes of individual nodes can be dynamically adjusted to improve the performance over time. We implement and evaluate NV-Tree and NV-Store, a key-value store based on NV-Tree, on an NVDIMM server. NV-Tree outperforms the state-of-art consistent tree structures by up to 12X under write-intensive workloads. NV-Store increases the throughput by up to 7.3X under YCSB workloads compared to Redis.