Miracle-dz/UniFAR-FTUs huggingface dataset:
Detecting Abnormal Machine Characteristics in Cloud Infrastructures

In the cloud computing environment resources are accessed as services rather than as a product. Monitoring this system for performance is crucial because of typical pay-per-use packages bought by the users for their jobs. With the huge number of machines currently in the cloud system, it is often extremely difficult for system administrators to keep track of all machines using distributed monitoring programs such as Ganglia\footnote{\url{ganglia.sourceforge. net/}} which lacks system health assessment and summarization capabilities. To overcome this problem, we propose a technique for automated anomaly detection using machine performance data in the cloud. Our algorithm is entirely distributed and runs locally on each computing machine on the cloud in order to rank the machines in order of their anomalous behavior for given jobs. There is no need to centralize any of the performance data for the analysis and at the end of the analysis, our algorithm generates error reports, thereby allowing the system administrators to take corrective actions. Experiments performed on real data sets collected for different jobs validate the fact that our algorithm has a low overhead for tracking anomalous machines in a cloud infrastructure.
The gaps in fatwa on intersex corrective surgery: Some reflections in the context of Malaysia

Intersex being a birth impairment in human babies is a fact of human precreation. Opposed to normal birth of humans as males and females incidents of babies with vague gender identity have perturbed people and families as to how to socially place them within the binary system of men and women in the community. In Islam, it is more important in view of the gendered orientation of some Islamic laws and its system of social ethics. Accordingly, jurists formulated an Islamic blueprint to manage this segment. However, their main criteria to align such individuals to one of the normal genders were inadequate to assign a specific sex to all intersex. Medical science, on the other hand, proposes not only to achieve precise diagnoses of intersex conditions but also to manage them medically. Accordingly, Muslim jurists and muftis by and large celebrated this medical solution as a better remedy to resolve this juridical perplexing question. This study, however, argues that juristic stamp of approval needs to be more ethically grounded so as to avoid pitfalls inherent in this medical innovation.
Interactive Context-Aware Modeling of Concept Sketch and Operation

In this paper, we present a framework of modeling concept sketch and sketching interaction based on context-awareness. And an operational model for sketching interface has been developed. This new model can guide and help new sketch-based interface development. From a software engineering point of view, the operational model can be implemented as a basic class with a set of standard operational functions. New applications with different context contents can be easily derived from it and developed further. This framework can support all the tasks that are common across applications, requiring the interface designer to only provide support for the application-specific tasks. This new operational model has been implemented and tested with different context. It is capable of and applicable for modeling various sketching interfaces and applications.
Secrecy capacity of MIMO channels

A Gaussian multiple input multiple output (MIMO) channel is considered where a transmitter is communicating to a receiver in the presence of an eavesdropper. The transmitter is equipped with multiple antennas, while the receiver and the eavesdropper also contains multiple antennas. We present a technique for determining the secrecy capacity of the MIMO channel under Gaussian noise. To do so, we transform the channel into multiple single input multiple output (SIMO) Gaussian wiretap channel and then use scalar approach using standard techniques of communications theory.
Design and Analysis of Health Products and Services: An Example at a Specialized COPD Unit

Health care demands have increased dramatically in recent decades. With the introduction of major changes in the management of health problems, health care costs have spiralled. Today, in the interests of cost control, medicine is geared towards outpatient care whenever possible. In this process, the medical community has been obliged to adapt its traditional criteria to the dictates of national economies. Today the criteria for the organization and evaluation of the health services are based on the concepts of efficacy, effectiveness and efficiency. This has led to the emergence of a new discipline for the design and evaluation of medical service production, known as servuction, an amalgam of “service” and “production”. The organigram of a new health product should include the problems the program faces and the steps proposed to overcome these problems. The concept of evaluation can be divided into two categories: administrative evaluation, and evaluative research. Avedis Donabedian was one of the founders of evaluative research, based on an easy-to-remember triad: structure-process-results. In the final evaluation of a new health care model, the innovations it provides must be considered. In this article we describe the stages involved in the design of a new health product and correlate them with the types of evaluation that should be applied at each point in the process. Our discussion addresses general aspects of servuction, but also focuses on the design of a particular service, created to care for patients with severe COPD.
Review on the Methods to Solve Combinatorial Optimization Problems Particularly: Quadratic Assignment Model

The quadratic assignment problem (QAP) is one of the fundamental combinatorial optimization problem (COPs) in the branch of optimization or operation research in mathematics,from the category of the Facilities Location Problems (FLPs). The quadratic assignment problem (QAP) be appropriate to the group of NP-hard issues and is measured as a challenging problem of the combinatorial optimization.QAP in Location Theory considers one of the problems of facilities tracing which the rate of locating a facility be determined by the spaces between facilities as well as the communication among the further facilities.QAP was presented in 1957 by Beckman and Koopmans as they were attempting to model a problem of facilities location.To survey the researcher’s works for QAP and applied,the mapped research landscape outlines literature into a logical classification and discovers this field basic characteristics represented on the motivation to use the quadratic assignment problem applied in hospital layout and campus planning.This survey achieved a concentrated each QAP article search in three key databases:Web of Science,Science Direct,and IEEE Xplore.Those databases are regarded extensive adequate in covering QAP and the methods utilized in solving QAP.
nhanced heat discrimination in congenital blindness

There is substantial evidence that congenitally blind individuals perform better than normally sighted controls in a variety of auditory, tactile and olfactory discrimination tasks. However, little is known about the capacity of blind individuals to make fine discriminatory judgments in the thermal domain. We therefore compared the capacity to detect small temperature increases in innocuous heat in a group of 12 congenitally blind and 12 age and sex-matched normally sighted participants. In addition, we also tested for group differences in the effects of spatial summation on temperature discrimination. Thermal stimuli were delivered with either a 2.56 or 9 cm2 Peltier-based thermode. We applied for 5–8 s lasting nonpainful thermal stimuli to the forearm and asked participants to detect small increments in temperature ( T = 0.4, 0.8, 1.2 or 1.6 ◦C) that occurred at random time intervals. Blank trials ( T = 0 ◦C) were also included to test for false positive responses. We used signal detection theory model to analyze the data. Our data revealed that blind participants have a higher accuracy than the sighted (d′: Blind = 2.4 ± 1.0, Sighted = 1.8 ± 0.7, p = 0.025), regardless of the size of the stimulated skin surface or magnitude of the temperature shift. Increasing the size of the stimulated skin area increased the response criterion in the blind (p = 0.022) but not in the sighted. Together, these findings show that congenitally blind individuals have enhanced temperature discrimination accuracy and are more susceptible to spatial summation of heat © 2015 Published by Elsevier B.V.
Illustrative Rendering of Segmented Anatomical Data

Medical illustrations use simple drawing styles to demonstrate shapes and features of organs and organ systems, while omitting irrelevant details. In this contribution, we present a non-photorealistic rendering algorithm for illustrating anatomical data. Unlike other existing methods that rely on available triangulations of the organs to be rendered, our approach relies only on a subset of surface points, together with their normals. The advantage is that surface points and normals can be quite easily extracted from medical data, without an intermediate triangulation.
A new approach to enforce the security properties of a clustered high-interaction honeypot

This paper enlarges previous works of the authors related to the security of a high-interaction honeypot. The challenge is to have a Security Property Language (SPL) for defining the required properties for controlling the activities between processes and resources. That language must authorize the definition of security properties related to confidentiality, integrity and availability. Moreover, that SPL must be able to enforce the security of target Operating Systems. It is an open problem not only regarding the security of Operating Systems but also regarding the security of high-interaction honeypots. That paper shows that existing approaches really fail to manage a large range of security properties. The first reason is that a SPL is really missing to express and enforce a large set of security properties. The second reason is that protection and detection approaches fail to manage a large set of security properties. Our paper proposes PIGA-Protect a new approach to control the system calls in order to guarantee the requested security properties.
Pharmacokinetics, Dosimetry, and Initial Therapeutic Results with 131I- and lllIn-/9~ Humanized LL2 Anti-CD22 Monoclonal Antibody in Patients with Relapsed, Refractory Non-Hodgkin's Lymphoma I

M a l i k E. J u w e i d , 2 E d w a r d S t a d t m a u e r , G e o r g e H a j j a r , R o b e r t M . S h a r k e y , S a m e r S u l e i m a n , S e l i n a L u g e r , L a w r e n c e C. S w a y n e , A b a s s A l a v i , a n d D a v i d M . G o l d e n b e r g Garden State Cancer Center, Belleville, New Jersey 07109 [M. E. J., R. M. S. , G. H. , S. S. , L. C. S. , D. M. G. ], and the Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania 19104 [g. S. , S.L. , a . a . ]
A 437-base-pair deletion at the beginning of the latency-associated transcript promoter significantly reduced adrenergically induced herpes simplex virus type 1 ocular reactivation in latently infected rabbits

In this study we used a herpes simplex virus type 1 (HSV-1) deletion mutant to identify a segment of the genome necessary for epinephrine-induced reactivation in the rabbit eye model of herpetic recurrent disease. In HSV-1 latently infected neural tissue, the only abundant viral products are the latency-associated transcripts (LATs). At least one promoter of LAT has been identified, and mutations in the LAT domain have been used to investigate HSV-1 reactivation. We used an ocular rabbit model of epinephrine-induced HSV-1 reactivation to study the effects of deleting a 437-bp region beginning 796 bp upstream of the LAT CAP site. Specifically, the 437-bp deletion is located between genomic positions 118006 and 118443 of the parent 17Syn+, and the construct is designated 17 delta S/N. This region also controls a portion of the genome encoding two transcripts (1.1 and 1.8 kb) from the LAT domain. A rescuant, 17 delta S/N-Res, was constructed from 17 delta S/N. Following ocular infection, all three viruses produced similar acute dendritic lesions in rabbits. Five weeks after infection, rabbits received transcorneal iontophoresis of epinephrine. The parent, 17Syn+, and the rescuant, 17 delta S/N-Res, underwent a high frequency of HSV-1 ocular reactivation as determined by recovery of infectious virus in the tear film. Rabbits infected with 17 delta S/N had a significantly lower frequency of ocular reactivation. Analysis of the trigeminal ganglia from all three groups of latently infected rabbits revealed (i) similar amounts of HSV DNA (genomic equivalents), (ii) accumulation of 2.0- and 1.45-kb LATs, and (iii) explant reactivation at the same high frequency. Therefore, these studies indicate that the 437-bp deleted region in 17 delta S/N is essential for epinephrine-induced reactivation and could implicate the 1.1- and 1.8-kb transcripts in the mechanisms controlling HSV-1 reactivation.
Argonaut: Macrotask Crowdsourcing for Complex Data Processing

Crowdsourced workflows are used in research and industry to solve a variety of tasks. The databases community has used crowd workers in query operators/optimization and for tasks such as entity resolution. Such research utilizes microtasks where crowd workers are asked to answer simple yes/no or multiple choice questions with little training. Typically, microtasks are used with voting algorithms to combine redundant responses from multiple crowd workers to achieve result quality. Microtasks are powerful, but fail in cases where larger context (e.g., domain knowledge) or significant time investment is needed to solve a problem, for example in large-document structured data extraction. In this paper, we consider context-heavy data processing tasks that may require many hours of work, and refer to such tasks as macrotasks. Leveraging the infrastructure and worker pools of existing crowdsourcing platforms, we automate macrotask scheduling, evaluation, and pay scales. A key challenge in macrotask-powered work, however, is evaluating the quality of a worker's output, since ground truth is seldom available and redundancy-based quality control schemes are impractical. We present Argonaut, a framework that improves macrotask powered work quality using a hierarchical review. Argonaut uses a predictive model of worker quality to select trusted workers to perform review, and a separate predictive model of task quality to decide which tasks to review. Finally, Argonaut can identify the ideal trade-off between a single phase of review and multiple phases of review given a constrained review budget in order to maximize overall output quality. We evaluate an industrial use of Argonaut to power a structured data extraction pipeline that has utilized over half a million hours of crowd worker input to complete millions of macrotasks. We show that Argonaut can capture up to 118% more errors than random spot-check reviews in review budget-constrained environments with up to two review layers.
High-Resolution Multiple Wideband and Nonstationary Source Localization With Unknown Number of Sources

In this paper, a new algorithm for high-resolution multiple wideband and nonstationary source localization using a sensor array is proposed. The received signals of the sensor array are first converted into the time-frequency domain via short-time Fourier transform (STFT) and we find that a set of short-time power spectrum matrices at different time instants have the joint diagonalization structure in each frequency bin. Based on such joint diagonalization structure, a novel cost function is designed and a new spatial spectrum for direction-of-arrival (DOA) estimation at hand is derived. Compared to the maximum-likelihood (ML) method with high computational complexity, the proposed algorithm obtains the DOA estimates via one-dimensional (1-D) search instead of multidimensional search. Therefore its computational complexity is much lower than the ML method. Unlike the subspace-based high-resolution DOA estimation techniques, it is not necessary to determine the number of sources in advance for the proposed algorithm. Moreover, the proposed method is robust to the effects of reverberation caused by multipath reflections. Hence it is suitable for multiple acoustic source localization in a reverberant room. The results of numerical simulations and experiments in a real room with a moderate reverberation are provided to demonstrate the good performance of the proposed approach.
Learning Algorithms for Sparse Representation

Algorithms for data-driven learning of domain-specific overcomplete dictionaries are developed to obtain maximum likelihood and maximum a posteriori dictionary estimates based on the use of Bayesian models with concave/Schur-concave (CSC) negative log priors. Such priors are appropriate for obtaining sparse representations of environmental signals within an appropriately chosen (environmentally matched) dictionary. The elements of the dictionary can be interpreted as concepts, features, or words capable of succinct expression of events encountered in the environment (the source of the measured signals). This is a generalization of vector quantization in that one is interested in a description involving a few dictionary entries (the proverbial “25 words or less”), but not necessarily as succinct as one entry. To learn an environmentally adapted dictionary capable of concise expression of signals generated by the environment, we develop algorithms that iterate between a representative set of sparse representations found by variants of FOCUSS and an update of the dictionary using these sparse representations. Experiments were performed using synthetic data and natural images. For complete dictionaries, we demonstrate that our algorithms have im-
Postponing wearout failures in chip multiprocessors using thermal management and thread migration

This paper presents an improved method to postpone wearout failures and improves functional unit and entire system lifetime by considering two important wearout factors: temperature and functional unit usage. Our method provides a more fine grained approach as compared to prior methods by considering individual functional unit usage. Using this information, system behavior can be predicted and appropriate thread scheduling and migration decisions can be made. Our method incorporates temperature predictions based on recent historical temperatures and functional unit usages to rank threads and cores in a chip multiprocessor (CMP). Using these rankings, our method migrates threads among cores to reduce thermal hotspots. Simulation results on the ESESC simulator show that our method can improve the average system temperature and lifetime by approximately 4.33°C and 21.65%,respectively,in a tri-core CMP, and 6.4°C and 32% in a quad-core CMP.
HUBUNGAN KETERGANTUNGAN SMARTPHONE TERHADAP KECEMASAN PADA MAHASISWA FAKULTAS KEDOKTERAN UNIVERSITAS DIPONEGORO

Latar Belakang : Ponsel atau telepon genggam merupakan alat komunikasi yang paling popular di era sekarang ini. Mahasiswa menggunakan smartphone sebagai alat komunikasi dan hiburan untuk menghindari stress. Penggunaan smartphone berlebihan dengan intensitas tinggi dapat menyebabkan ketergantungan. Ketergantungan smartphone memiliki pengaruh negatif terhadap kualitas hidup dan kesehatan seperti kecemasan. Gejala adanya gangguan kecemasan tersebut dapat berupa gejala fisik, psikologis, dan perilaku. Tujuan : Mengetahui adakah hubungan ketergantungan smartphone terhadap kecemasan pada mahasiswa. Metode : Jenis penelitian ini merupakan penelitian observasional analitik desain crossectional. Sebanyak 214 mahasiswa Program Studi Pendidikan Dokter Fakultas Kedokteran Universitas Diponegoro angkatan 2014. Calon subyek penelitian yang masuk kriteria inklusi dikumpulkan dan dimintai ketersediaannya untuk menjadi subyek penelitian dengan mengisi informed consent dengan benar. Kemudian subyek penelitian diminta untuk mengisi kuesioner data demografi, kuesioner Smartphone Addiction Scale (SAS) dan kuesioner Zung Self-rating Anxiety Scale (ZSAS) Hasil : Sebanyak 153 responden (71,5%) mengalami ketergantungan smartphone sedang, sedangkan 36 responden (16,8%) mengalami mengalami ketergantungan smartphone ringan,sisanya yaitu sebesar 25 responden (11,7%) mengalami mengalami ketergantungan smartphone tinggi. Terdapat 131 responden (61,2%) mengalami cemas ringan, 64 responden (29,9%) tidak mengalami kecemasan, sebesar 19 responden (8,9%) mengalami cemas sedang, dan tidak ada responden yang mengalami kecemasan berat. Terbukti adanya hubungan bermakna antara ketergantungan smartphone terhadap tingkat kecemasan dengan koefisien signifikasi sebesar 0,001 serta koefisien korelasi sebesar 0,269. Kesimpulan : Terdapat hubungan bermakna antara ketergantungan smartphone terhadap kecemasan. Kata kunci : Ketergantungan smartphone,kecemasan, Smartphone Addiction Scale (SAS), Zung Self-rating Anxiety Scale (ZSAS).
Membrane dynamics associated with viral infection

Viral replication and spreading are fundamental events in the viral life cycle, accounting for the assembly and egression of nascent virions, events that are directly associated with viral pathogenesis in target hosts. These processes occur in cellular compartments that are modified by specialized viral proteins, causing a rearrangement of different cell membranes in infected cells and affecting the ER, mitochondria, Golgi apparatus, vesicles and endosomes, as well as processes such as autophagic membrane flux. In fact, the activation or inhibition of membrane trafficking and other related activities are fundamental to ensure the adequate replication and spreading of certain viruses. In this review, data will be presented that support the key role of membrane dynamics in the viral cycle, especially in terms of the assembly, egression and infection processes. By defining how viruses orchestrate these events it will be possible to understand how they successfully complete their route of infection, establishing viral pathogenesis and provoking disease. © 2015 The Authors Reviews in Medical Virology Published by John Wiley & Sons, Ltd.
DNA sequence and characterization of Haemophilus influenzae dprA+, a gene required for chromosomal but not plasmid DNA transformation

Natural genetic transformation in Haemophilus influenzae involves DNA binding, uptake, translocation, and recombination. In this study, we cloned and sequenced a 3.8-kbp H. influenzae DNA segment capable of complementing in trans the transformation defect of an H. influenzae strain carrying the tfo-37 mutation. We used subcloning, deletion analysis, and in vivo protein labeling experiments to more precisely define the gene required for efficient DNA transformation on the cloned DNA. A novel gene, which we called dprA+, was shown to encode a 41.6-kDa polypeptide that was required for efficient chromosomal but not plasmid DNA transformation. Analysis of the deduced amino acid sequence of DprA suggested that it may be an inner membrane protein, which is consistent with its apparent role in DNA processing during transformation. Four other open reading frames (ORFs) on the cloned DNA segment were identified. Two ORFs were homologous to the phosphofructokinase A (pfkA) and alpha-isopropyl malate synthase (leuA) genes of Escherichia coli and Salmonella typhimurium, respectively. Homologs for the two other ORFs could not be identified.