Miracle-dz/UniFAR-FTUs huggingface dataset:
Enabling Sequential-write-constrained B+-tree Index Scheme to Upgrade Shingled Magnetic Recording Storage Performance

When a shingle magnetic recording (SMR) drive has been widely applied to modern computer systems (e.g., archive file systems, big data computing systems, and large-scale database systems), storage system developers should thoroughly review whether current designs (e.g., index schemes and data placements) are appropriate for an SMR drive because of its sequential write constraint. Through many prior works excellently manage data in an SMR drive by integrating their proposed solutions into the driver layer, an index scheme over an SMR drive has never been optimized by any previous works because managing index over the SMR drive needs to jointly consider the properties of B+-tree and SMR natures (e.g., sequential write constraint and zone partitions) in a host storage system. Moreover, poor index management will result in terrible storage performance because an index manager is extensively used in file systems and database applications. For optimizing the B+-tree index structure over an SMR storage, this work identifies performance overheads caused by the B+-tree index structure in an SMR drive. By such observation, this study proposes a sequential-write-constrained B+-tree index scheme, namely SW-B+tree, which consists of an address redirection data structure, an SMR-aware node allocation mechanism, and a frequency-aware garbage collection strategy. According to our experiments, the SW-B+tree can improve the SMR storage performance 55% on average.
A role for PKD1 in insulin secretion downstream of P2Y1 receptor activation in mouse and human islets

Along with insulin, β‐cells co‐secrete the neurotransmitter ATP which acts as a positive autocrine signal via P2Y1 receptors to activate phospholipase C and increase the production of diacylglycerol (DAG). However, the downstream signaling that couples P2Y1 activation to insulin secretion remains to be fully elucidated. Since DAG activates protein kinase D1 (PKD1) to potentiate glucose‐stimulated insulin release, we hypothesized that autocrine ATP signaling activates downstream PKD1 to regulate insulin secretion. Indeed, we find that the P2Y1 receptor agonists, MRS2365 and ATP induce, PKD1 phosphorylation at serine 916 in mouse islets. Similarly, direct depolarization of islets by KCl caused PKD1 activation, which is reduced upon P2Y1 antagonism. Potentiation of insulin secretion by P2Y1 activation was lost from PKD1−/− mouse islets, and knockdown of PKD1 reduced the ability of P2Y1 activation to facilitate exocytosis in single mouse β‐cells. Finally, qPCR analysis confirmed PKD1 transcript (PRKD1) expression in human islets, and insulin secretion assays showed that inhibition of either P2Y1 or PKD1 signaling impaired glucose‐stimulated insulin secretion. Human islets showed donor‐to‐donor variation in their responses to both P2Y1 and PKD1 inhibition, however, and we find that the P2Y1‐PKD1 pathway contributes a substantially greater proportion of insulin secretion from islets of overweight and obese donors. Thus, PKD1 promotes increased insulin secretion, likely mediating an autocrine ATP effect via P2Y1 receptor activation which may be more important in islets of donors who are overweight or obese.
Novel algorithms for efficient subsequence searching and mapping in nanopore raw signals towards targeted sequencing

Genome diagnostics have gradually become a prevailing routine for human healthcare. With the advances in understanding the causal genes for many human diseases, targeted sequencing provides a rapid, cost-efficient and focused option for clinical applications, such as SNP detection and haplotype classification, in a specific genomic region. Although nanopore sequencing offers a perfect tool for targeted sequencing because of its mobility, PCR-freeness, and long read properties, it poses a challenging computational problem of how to efficiently and accurately search and map genomic subsequences of interest in a pool of nanopore reads (or raw signals). Due to its relatively low sequencing accuracy, there is no reliable solution to this problem, especially at low sequencing coverage. Here, we propose a brand new signal-based subsequence inquiry pipeline as well as two novel algorithms to tackle this problem. The proposed algorithms follow the principle of subsequence dynamic time warping and directly operate on the electrical current signals, without loss of information in base-calling. Therefore, the proposed algorithms can serve as a tool for sequence inquiry in targeted sequencing. Two novel criteria are offered for the consequent signal quality analysis and data classification. Comprehensive experiments on real-world nanopore datasets show the efficiency and effectiveness of the proposed algorithms. We further demonstrate the potential applications of the proposed algorithms in two typical tasks in nanopore-based targeted sequencing: SNP detection under low sequencing coverage, and haplotype classification under low sequencing accuracy.
Prediction of in vitro fertilization outcome at different antral follicle count thresholds combined with female age, female cause of infertility, and ovarian response in a prospective cohort of 8269 women

Abstract Antral follicle count (AFC) has been widely investigated for the prediction of clinical pregnancy or live birth. This study discussed the effects of AFC quartile levels on pregnancy outcomes combined with female age, female cause of infertility, and ovarian response undergoing in vitro fertilization (IVF) treatment. At present, many research about AFC mainly discuss its impact on clinical practice at different thresholds, or the analyses of AFC with respect to assisted reproductive technology outcomes under using different ovarian stimulation protocols. Factors that include ovarian sensitivity index, female age, and infertility cause are all independent predictors of live birth undergoing IVF/intracytoplasmic sperm injection, while few researchers discussed influence of female-related factors for clinical outcomes in different AFC fields. A total of 8269 infertile women who were stimulated with a long protocol with normal menstrual cycles were enrolled in the study, and patients were categorized into 4 groups based on AFC quartiles (1–8, 9–12, 13–17, and ≥18 antral follicles). The clinical pregnancy rates increased in the 4 AFC groups (28.25% vs 35.38% vs 37.38% vs 40.13%), and there was a negative association between age and the 4 AFC groups. In addition, female cause of infertility like polycystic ovary syndrome, Tubal factor, and other causes had great significance on clinical outcome, and ovarian response in medium (9–16 oocytes retrieved) had the highest clinical pregnancy rate at AFC quartiles of 1 to 8, 9 to 12, 13 to 17, and ≥18 antral follicles. This study concludes that the female-related parameters (female cause of infertility, female age, and ovarian response) combined with AFC can be useful to estimate the probability of clinical pregnancy.
An improved sic-mosfet gate driver circuit controlled by DSPIC33FJ256GP710A

SIC-MOSFETs are commonly used in high power inverter and converter circuits and can require significant isolated gate drive power to switch optimally. One of the main requirements for an optocoupler gate driver circuit is the ability to provide high output peak current to charge or discharge the drive transistor quickly to prevent loss of switch. This paper describes the new SICMOSET gate driver circuit, the performance characteristics it needs, and how to give advantages over alternative gate driver circuits. The same considerations apply to the original to MOSFET and IGBT. The dsPIC33FJ256GP710A is one of the microcontroller family made by microchip technology and was used as a microcontroller to generate the PWM with high frequency. The principles of operation and design requirements of the circuit are presented in this paper. Also, the experimental results are presented to demonstrate the efficient functioning of the designed circuit. The circuit's feature is designed with DC insulation and full high-current circuit protection at the output side.
Detecting anomalous traffic in the controlled network based on cross entropy and support vector machine

Network anomaly detection is an effective way for analysing and detecting malicious attacks. However, the typical anomaly detection techniques cannot perform the desired effect in the controlled network just as in the general network. In the circumstance of the controlled network, the detection performance will be lowered due to its special characteristics including the stronger regularity, higher dimensionality and subtler fluctuation of its traffic. On the motivation, the study proposes a novel classifier framework based on cross entropy and support vector machine (SVM). The technique first subtracts the representative traffic characteristics from the network traffic and defines a 7-tuple feature vector for the controlled network by extending the traditional 5-tuple representation of the usual network. Then the probability distributions and cross entropies of the 7 tuples are calculated during the defined statistical window so as to generate the 7-tuple cross-entropy feature vector for profiling the network traffic fluctuation in the controlled network. Finally, the multi-class SVM classifier is trained by importing the 7-tuple cross-entropy feature vectors. Experimental results show that the proposed classifier can achieve higher detection rates and is more suitable to be used in the controlled network than the typical detection techniques.
oGBAC—A Group Based Access Control Framework for Information Sharing in Online Social Networks

Internet users receive various online social networks (OSNs) services, however, providers of OSNs do not always provide users fine-grained privacy protection mechanisms with sufficient privacy protection for shared resources. In this paper, we propose a formal Group-Based Access Control (oGBAC) framework for preventing privacy disclosure when sharing information within or among groups in OSNs. Our framework extends the group-centric Secure Information Sharing (g-SIS) models by adapting the concept of the group to OSNs. We impose some restrictions to the group and information flow among groups to ensure that operations cannot incur privacy disclosure when sharing information among friends in OSNs. In view of characteristics of OSNs and the requirements of secure information flow, the oGBAC model also incorporates some ideas from the Attribute-Based Access Control (ABAC) to develop information flow based rules using relationship among attributes (such as tags, time and security levels) of objects and subjects in OSNs. Administration related rules and access related rules are designed for each access operation of group based OSNs’ information sharing. The security of oGBAC model is analyzed using formal methods. To demonstrate the usability of the oGBAC model, we implement the model with the Comparative Attribute-Based Encryption (CCP-CABE), and analyze the security and efficiency of the implemented system to prove the effectiveness of the implemented system.
Computational and experimental modeling of icing processes by means of PNRPU high-performance computational complex

The article deals with the calculation and experimental modeling of icing processes by means of the high-performance computing complex (HPC) at PNRPU. The results of a computational experiment on estimating the parameters of gas-dynamic flow in the model small-sized climatic wind tunnel (ESCWT) allowed specifying requirements for the experimental setup components. We presented design scheme and the main elements of the model ESCWT. We selected architectural, hardware and software solutions for connecting the model ESCWT and the HPC at PNRPU. We obtained first results of physical experiments confirming the working capacity of the created in PNRPU model small-sized climatic wind tunnel.
Design, Synthesis, Characterization and Comparative Cytotoxic Evaluation of bis-(2- mercaptoacetate) gold (III) chloride

In recent years , the interest in gold (III) species have gained more and more attention for cancer chemotherapy , this was stimulating by the possibility to develop new agents with mode of action and clinical profile different from the established platinum metalodrugs. With this frame, recently new square planar Au(III) complexes (Au(L)(L')n); where L=SCH2COO- ; L'=HSCH2COO- had been synthesized with S/O â€“ donor ligands. In this article and by the aim to replace, one of (L') ligand by anion chloride ligand (which supposedly more relevant for the biodistribution of the compound than for its pharmacodynamic effects), new complex (Au(L')2 Cl) was synthesized : (H (AuCl4) + 2 HSCH2COO -Na+ Au(L')2 Cl) The prepared complex was characterized by elemental analysis, FTIR, H'NMR, UV, molar conductance and magnetic susceptibility and its anticancer activity was tested against Hep-2 cell line. The comparative figure of the cytotoxic activities of all the synthesized complexes against Hep-2 cell line , showed cytotoxic profile variant to the well- known anticancer drug cisplatin , indicated that there is no direct correlation exists between the nature of the ligands (L),(L') and (Cl-) , their different arrangements around central metal core with their collectives cytotoxic results. Key words: S/O â€“ donor ligands. , gold (III), cytotoxic
Preparación, caracterización y aplicación de sensores de Pd-SnO como nariz electrónica en la clasificación de vinos peruanos y su comparación con técnicas cromatográficas

SnO-based sensors doped with palladium (0, 1, 3, 5 and 7%) were prepared by the wet impregnation method. To characterize them, the techniques of infrared spectroscopy with Fourier transform (FTIR), adsorption and desorption of N2 (BET), XRD, scanning electron microscopy (SEM), and X-ray dispersive energy (EDX) spectroscopy were used. The sensors were evaluated with ethanol to form, together with two commercial sensors, an electronic nose (E-nose) that could detect volatile aroma components in Peruvian wines. The results were interpreted through principal component analysis (PCA) to find a technique that complemented the information collected by gas chromatography (GC) and liquid chromatography (HPLC), and by comparing the PCAs obtained from GC and HPLC with those resulting from E-nose. It was found that the latter classified the samples better. It was possible to differentiate both wines from the same grape and from a different strain, and to detect adulterated wines, which contributes to the wine industry in controlling its production to improve the quality of this drink for the consumer.
Stability of Mitotic Spindle Using Computational Mechanics

Fidelity of cell division depends on the ability of an internal cell structure called the mitotic spindle, to maintain the structural integrity of the cellular architecture despite being subject to high compressive loading. We propose a generic software tool called Spindle FEA that employs continuum mechanics and finite elements analysis (FEA) code Abaqus CAE to study the stability of mitotic spindles in various phases of mitosis. The proposed application has a modular structure which allows easy modification of any part of the analysis which is of particular importance considering that new knowledge of spindles is constantly emerging. Thanks to the highly optimised finite element solver used in Abaqus CAE, Spindle FEA is highly suitable for large multi-parametric studies which in turn may significantly benefit the planning of new experiments or identifying new key properties of the spindle. We also discuss the main physiological properties of spindles and show how they are modelled with the proposed technique as well as discuss all the essential analysis steps. We use Spindle FEA to study the buckling of a mitotic spindle in anaphase B to show how the additional stiffness of the lateral support of the spindle affects the left-right symmetry of cell division as well as to demonstrate the capacities of the proposed technique.
Loss Reduction and Reliability Improvement of Industrial Distribution System through Network Reconfiguration

 Abstract — The paper presents an approach to improve the reliability and reduce line losses of practical distribution system applying network reconfiguration. The change of the topology redirects the power flow within the distribution network to obtain better performance of the system. Practical distribution network (Pyigyitagon Industrial Zone (I)) is used as the case study network. The detailed calculations of the reliability indices are done by using analytical method and power flow calculation is performed by Newton-Rephason solver. The comparison of various network reconfiguration techniques are described with respect to power loss and reliability index levels. Finally, the optimal reconfigured network is selected among difference cases based on the two factors: the most reliable network and the least loss minimization.
Cache Less for More: Exploiting Cooperative Video Caching and Delivery in D2D Communications

The ever-increasing demand for videos on mobile devices poses a significant challenge to existing cellular network infrastructures. To cope with the challenge, we propose a user-centric video transmission mechanism based on device-to-device communications that allows mobile users to cache and share videos between each other, in a cooperative manner. The proposed solution jointly considers users’ similarity in accessing videos, users’ sharing willingness, users’ location distribution, and users’ quality of experience (QoE) requirements, in order to achieve a QoE-guaranteed video streaming service in a cellular network. Specifically, a service set consisting of several service providers and mobile users, is dynamically configured to provide timely service according to the probability of successful service. Numerical results show that when the number of providers and demanded videos is 40 and 2, respectively, the improved users experience rate in the proposed solution is approximately 85%, and the data offload rate on base station(s) is about 78%.
Synthèse par chimie douce et étude structurale de nanocristaux d'oxydes métalliques

Ce travail concerne la synthese et la caracterisation structurale de nanocristaux de faible taille (~1-3 nm) d’oxydes metalliques simples, a savoir le dioxyde de titane (TiO2), le dioxyde d’etain (SnO2) et le monoxyde de zinc (ZnO). Les syntheses ont ete realisees au moyen de methodes sol-gel non-aqueuses voire strictement non-hydrolytiques sous controle cinetique. La caracterisation structurale s’est principalement appuyee sur la diffraction des rayons X, la microscopie electronique en transmission et la methode des fonctions de distribution de paires atomiques, obtenues grâce a la diffusion totale des rayons X, couplees a des methodes de modelisation a l’echelle atomique. Dans le cas de TiO2, des nanoparticules d’anatase bien cristallisees de 4 nm a 8 nm ont ete synthetisees. Le ratio molaire de donneur d’oxygene par rapport au titane s’est avere etre un parametre influencant fortement la taille des particules. Nous avons egalement mis en evidence la formation d’une phase intermediaire caracterisee par des nanoparticules faiblement cristallisees de tres faible taille dont la structure pourrait s’apparenter a une structure brookite desordonnee. Pour SnO2, des nanocristaux presentant une structure rutile ont ete obtenus avec des tailles comprises entre 2 nm et 4 nm. Dans le cas de l’utilisation d’un ether, nous avons mis en evidence la formation concomitante d’une phase organique polymerisee et de nanoparticules primaires dont la structure intermediaire presente de fortes similitudes avec la structure rutile. L’utilisation de solvants possedant une fonction benzyle en presence de tetrachlorure d’etain a conduit a la formation d’eau dans le systeme. Dans le cas de ZnO, nous avons montre que l’utilisation d’une base organique pour initier la formation du reseau oxyde dans une solution methanolique d’acetate de zinc en presence d’un agent complexant du zinc permettait d’obtenir des nanoparticules de l’ordre de 1 nm. Meme pour les faibles valeurs de taille, les nanoparticules presentent une structure tres proche de la wurtzite avec un desordre croissant au niveau du reseau cationique.
Continuous Monitoring of Patient Mobility for 18 Months Using Inertial Sensors following Traumatic Knee Injury: A Case Study

Continuous patient activity monitoring during rehabilitation, enabled by digital technologies, will allow the objective capture of real-world mobility and aligning treatment to each individual’s recovery trajectory in real time. To explore the feasibility and added value of such approaches, we present a case study of a 36-year-old male participant monitored continuously for activity levels and gait parameters using a waist-worn inertial sensor following a tibial plateau fracture on the right side, sustained as a result of a high-energy trauma during a sporting accident. During rehabilitation, data were collected for a period of 553 days, with > 80% daytime compliance, until the participant returned to near full mobility. The participant completed a daily diary with the annotation of major events (falls, near falls, cycling periods, or physiotherapy sessions) and key dates in the patient’s recovery, including medical interventions, transitioning off crutches, and returning to work. We demonstrate the feasibility of collecting, storing, and mining of continuous digital mobility data and show that such data can detect changes in mobility and provide insights into long-term rehabilitation. We make both raw data and annotations available as a resource with the aspiration that further methods and insights will be built on this initial exploration of added value and continue to demonstrate that continuous monitoring can be deployed to aid rehabilitation.
Platform leadership

From the Publisher: In Platform Leadership, high-tech strategy experts Annabelle Gawer and Michael A. Cusumano reveal how Intel, Microsoft, and Cisco, as well as companies including Palm and NTT DoCoMo, have orchestrated industry innovations to support their products - and, in the process, established dominant market positions. Based on these in-depth case studies and on incisive analysis, the authors present their Four Levers Framework for designing and implementing a successful platform strategy - or for improving an existing strategy. For executives, strategists, and entrepreneurs in many high-tech arenas, this book shows how firms can orchestrate innovation to ensure their own competitive futures - and drive the evolution of their industry.
Key-Aggregate Cryptosystem with Broadcast Aggregate Keys for Secure Data Sharing in Cloud Computing

— Recently, cloud storage is a gaining popularity. In enterprise settings, rise in demand for data outsourcing, which assists in the strategic management of corporate data. However, users are also increasingly concerned about inadvertent data leaks in the cloud. Such data leaks, caused by a malicious adversary or a misbehaving cloud operator, can usually lead to serious breaches of personal privacy or business secrets. A key challenge to designing such encryption schemes lies in the efficient management of encryption keys. A projected a economically implementable edition KAC among small transparency cipher texts as well as collective key, use pairing. It is able to be economically shared through broadcast encryption provide towards information user as well as information owner whereas falling the reducing the protected waterway constraint. It also allow user to decrypt numerous module of information using the single input of stable range which could economically broadcast towards numerous user. Our planned scheme has proved in secure and practically efficient.