Miracle-dz/UniFAR-FTUs huggingface dataset:
RELATIONSHIP BETWEEN THE EXPRESSION OF ERCC1 IN EPITHELIAL OVARIAN CARCINOMA AND CISPLATIN RESISTANCE

Objective To investigate the significance of expression of ERCC1 gene in cisplatin resistance of chemotherapy for primary epithelial ovarian cancer (PEOC). Methods The expression of ERCC1 was analyzed retrospectively by tissue microarray (8×5) technology and immunohistochemistry in 56 patients with PEOC and in 38 controls with normal ovarian tissue. The association of the expression of ERCC1 in the cancer with cisplatin resistance,and with the clinical pathology of FIGO staging,type,cell differentiation,age,and location was analyzed. Results The positive expression of ERCC1 in 38 normal ovarian tissue was seen in 17 cases (44.74%); in 56 cancer patients,it was 31 cases (55.36%),no significant difference was noted (χ2=1.022,P0.05). In PEOC,the expression of ERCC1 was not markedly correlated with FIGO staging,pathologic type,cell differdntiation,age,location and incidence (P0.05). The positive ERCC1 expression rate in drug-resistent group was 76.67%,much higher than 30.77% in drug-sensitive group (χ2=11.87,P0.05). Conclusion The expression of ERCC1 is related to cisplatin resistance in PEOC.
Cooperative Perception for Pairs of Self-Driving Cars

Fully autonomous vehicles are expected to share the road with less advanced vehicles for a signiﬁcant period of time. Furthermore, an increasing number of vehicles on the road are equipped with a variety of low-ﬁdelity sensors which provide some perception and localization data, but not at a high enough quality for full autonomy. In this work, we develop a fused perception system that allows a vehicle with low-ﬁdelity sensors to incorporate high-ﬁdelity observations from a vehicle in front of it, allowing both vehicles to operate with full autonomy. The resulting system generates perception information that is both low-noise in regions covered by high-ﬁdelity sensors and avoids false negatives in areas only observed by low-ﬁdelity sensors, while dealing with latency and dropout of the communication link between the two vehicles. At its core, the system uses a set of Extended Kalman ﬁlters which incorporate observations from both vehicles’ sensors and extrapolate them using information about the road geometry. Our perception algorithm is evaluated both in simulation and on real vehicles as part of a full cooperative driving system.
Fifty years of Bird Study

Capsule Field ornithology is alive and well, and in the future can contribute much more in Britain and elsewhere. Aims To review the progress of field ornithology in Britain in the context of Bird Study and the British Trust for Ornithology. Methods An overview was taken of the main subject areas published in Bird Study to characterize progress over 50 years. Some quantification of data on the main bird organizations was performed. ResultsKnowledge of status and trends of British birds has moved from the qualitative to generally well detailed quantitative over the past 50 years. Causes of distribution and changes are increasingly well understood in terms of habitat and of population processes. Behaviour and ecology have grown to be separate disciplines in their own right although birds have been major subjects of study within them. Migration studies have lagged somewhat in Britain but advanced elsewhere in recent decades. Amongst the main bird organizations, the BTO still has a growing membership, that of the RSPB has reached an astonishing level but may be nearing a plateau while the BOU's membership is clearly in decline. Conclusions Field ornithology has made a large contribution to the environmental debate and the future is set for further integration across disciplines in answering large-scale questions. Great public interest has supported the growth of ornithology with a big switch from amateur to professional workers. There is a major challenge to exploit the value of birds in promoting interest in the environment and delivering sound facts to support the biodiversity debate elsewhere on Earth. Fifty years of history in Britain indicate what is possible.
Isolation and biological characterization of the bacteria from the alkaline soil of Hoh Xil

Hoh Xil,an extremophile environment situated at the Yushu Tibetan Autonomous Region in southwest Qinghai,is one of the most primitive and well-preserved natural environment on earth.The microbial diversity in this area is poorly known till date.In this present study an attempt has been made to selectively isolate the alkalophilic microorganisms in 12 salina soil samples from Hoh Xil,by using five different medium.As a result,5 alkaliphilic or salkaline tolerant isolates were obtained.16S rRNA gene sequence analysis showed that 4 strains belonged to 4 different genera,such as Planomicrobium,Kocuria,Aerococcus,and Bacillus.Another strain,designated CPCC 100153 was the nearest to the genus Geomicrobium,showing the 16S rRNA gene sequence similarity level of 93.5 % to the strain Geomicrobium halophilum BH1T.Based on the phenotypic characteristics,physiological and bio-chemical tests,chemotaxonomic analysis and genotypic data,we found that the strain CPCC 100153T not only shared some common characteristics with the alkaliphilic or salkaline tolerant species of the related genus in the family Bacillaceae but also clearly differentiated from them.Therefore,we propose the strain CPCC 100153T represents a novel genus and species within the family Bacillaceae.
Homomorphic Cryptosystem

In 2009 Craig Gentry proved that Fully Homomorphic Encryption can be applied and realized in principle. Homomorphism allowed us to perform arbitrary computations and calculations on encrypted data. With RSA being the first cryptosystem to hold homomorphic properties, there came other additive and multiplicative cryptosystems. However, fully Homomorphic encryption proved to be the ultimate cryptographic solution to ensure security of data on cloud. It enables processing and computing arbitrary functions over the encrypted data thereby reducing the probability of accessing the plain text.
MultiSense

In recent years, we have seen efforts made to simultaneously monitor the respiration of multiple persons based on the channel state information (CSI) retrieved from commodity WiFi devices. Existing approaches mainly rely on spectral analysis of the CSI amplitude to obtain respiration rate information, leading to multiple limitations: (1) spectral analysis works when multiple persons exhibit dramatically different respiration rates, however, it fails to resolve similar rates; (2) spectral analysis can only obtain the average respiration rate over a period of time, and it is unable to capture the detailed rate change over time; (3) they fail to sense the respiration when a target is located at the "blind spots" even the target is close to the sensing devices. To overcome these limitations, we propose MultiSense, the first WiFi-based system that can robustly and continuously sense the detailed respiration patterns of multiple persons even they have very similar respiration rates and are physically closely located. The key insight of our solution is that the commodity WiFi hardware nowadays is usually equipped with multiple antennas. Thus, each individual antenna can receive a different mix copy of signals reflected from multiple persons. We successfully prove that the reflected signals are linearly mixed at each antenna and propose to model the multi-person respiration sensing as a blind source separation (BSS) problem. Then, we solve it using independent component analysis (ICA) to separate the mixed signal and obtain the reparation information of each person. Extensive experiments show that with only one pair of transceivers, each equipped with three antennas, MultiSense is able to accurately monitor respiration even in the presence of four persons, with the mean absolute respiration rate error of 0.73 bpm (breaths per minute).
Evaluation of central neuropathy in type 2 diabetes mellitus: a case control study

Background: Diabetes mellitus (DM) is a global pandemic affecting almost every organ in the body. Peripheral nervous system involvement in diabetes is well known but there are not many studies on central nervous system involvement. Visual evoked potential (VEP) is a sensitive, non-invasive test to detect central demyelination of optic nerve. The objective was to compare the visual evoked potentials in type-2 DM patients with that of healthy controls and to find out if any correlation is there with the duration and glycaemic control of the disease and to compare incidence of peripheral and central neuropathy in DM patients.Methods: Author included 50 DM patients and 50 age and sex matched controls. Patients with previous stroke, demyelination, diabetic retinopathy and other ophthalmological disorders were excluded. VEP was recorded using pattern reversal stimulation with EMG RMS MARK II machine and p100 latency was measured.Results: P100 latencies (ms) was significantly prolonged in diabetics with mean±SD of (111.24±5.28 ms) as compared to controls (101.30±1.66 ms) with p value <0.003. Also, there was significant correlation between duration of DM and P100 latency prolongation, but no significant correlation was present when compared with glycaemic control.Conclusions: Central neuropathy is very common in DM. It is related to duration of DM and not HbA1c unlike PNP which is related to both. Central neuropathy occurs even prior to development of retinopathy or PNP. Hence, VEP is a non-invasive and sensitive screening tool for early neurological involvement in DM.
New initialization strategy for nonnegative matrix factorization

— Nonnegative matrix factorization (NMF) has been proved to be a powerful data representation method, and has shown success in applications such as data representation and document clustering. In this paper, we propose a new initialization strategy for NMF. This new method is entitled square nonnegative matrix factorization, SQR-NMF. In this method, we ﬁrst transform the non-square nonnega-tive matrix to a square one. Several strategies are proposed to achieve SQR step. Then we take the positive section of eigenvalues and eigenvectors for initialization. Simulation results show that SQR-NMF has faster convergence rate and provides an approximation with lower error rate as compared to SVD-NMF and random initialization methods. Complementing different elements in data matrix also affect the results. The experiments show that complementary elements should be 0 for small data sets and mean values of each row or column of the original nonnegative matrix for large data sets.
A study of Ontology based Adaptive Contents Generation for R & D Meeting

요약 본 논문의 목적은 인간과 시스템의 상호작용에 의한 컨텐츠 생성을 가능하게 함으로써 회의공간에서의 지식창조 프로세스를 지원하는데 있다. 회의에 있어서 발표자료는 기존의 조직이 보유 하고 있는 유형 지식인 컨텐츠 리소스들에 발표자의 지식이 더해진 산물로서 기존의 조직의 지식과 회의에서 창조되는 새로운 지식 사이의 가교역할을 담당한다. 본 논문에서는 R&D 회의를 대상으로 이러한 회의에서의 새로운 지식 창조의 기반이 되는 발표자료의 작성을 지원하는 적응형 컨텐츠 생성 시스템 (Adaptive
STRATEGIC OUTSOURCING: LEVERAGING KNOWLEDGE CAPABILITIES

Today's knowledge- and service-based economy offers companies a chance to increase profits through strategic outsourcing of intellectually based systems. As companies disaggregate intellectual activities internally and outsource more externally, they approach true virtual organization with knowledge centers interacting largely through mutual interest and electronic ? rather than authority ? systems. In this article, Quinn outlines an integrated knowledge and outsourcing strategy that can mitigate the risks and concerns associated with outsourcing. Companies with successful knowledge strategies follow these well-accepted principles: They concentrate on developing "best in world" capabilities that customers genuinely care about. An effective core competency strategy focuses on two to four cross-functional, intellectually based service activities or knowledge and skill sets that the company can build and maintain at best-in-world levels to provide a flexible platform for future innovations (at least one directly connected to understanding the customer). Such core competencies become "strategic blocks" that prevent a firm's suppliers from directly attacking its markets and increase the firm's bargaining power and security. They leverage the capabilities and investments of others by exploiting three areas of intellectual outsourcing: (1) traditional service or functional activities performed in-house (e.g., accounting, IT, or employee benefits); (2) complementary, integrative, or duplicative activities scattered throughout the company; and (3) disciplines, subsystems, or systems in which outsiders have greater expertise or capabilities for innovation. They innovate constantly. Links to outside knowledge sources that are able to assemble diverse expertise greatly affect the timing and amplitude of innovations. Sophisticated outsourcing supported by new electronic communications, modeling, and monitoring techniques enables companies to reduce innovation cycle times and costs by 60 percent to 90 percent and decrease investments and risks by equal amounts. They eliminate inflexibilities, such as fixed overhead, bureaucracy, and physical plant, by tapping the resources of the downstream customer chain and the upstream technology and supply chain. How can a company best manage risks and develop the full potential of intellectual outsourcing? Successful outsourcers carefully develop and implement certain crucial management controls that Quinn describes. Outsourcing also must become a top management issue because lower- to intermediate-level managers tend to be actively hostile to outsourcing ? fearing loss of jobs, prestige, or power.
Evaluation of lumber recycled from an industrial military building

During the past century, millions of structures were built from sawn lumber and timber. When these structures reach the end oftheir service lives, contemporary practices emphasize landfill disposal. In recent years, the public has expressed a strong interest in developing environmentally acceptable and efficient reuse options for this solid-wood material. As a result of this interest, a test program was developed to evaluate the grades and engineering properties of nominal 2-by 10-inches (standard 38-by 236-mm) lumber collected from the Twin Cities Army Ammunition Plant and compare this material with the performance of lumber produced today. On-site grading of 500 lumber pieces indicated the effect of damage on grade yield. An analysis oftest data indicated that the stiffness was similar to lumber produced today; however, bending strength was somewhat less. Mechanical grading yields and potential reuse options are also presented.
Adaptive Decentralized Control Scheme for a Stochastic Interconnected System

This work investigates a decentralized state feedback scheme of neural network control for an interconnected system. The completely unknown associated terms are estimated directly by the neural structure. A modified approach is proposed to deal with the state feedback format. By combining the Lyapunov function and backstepping technology together, an adaptive decentralized controller is established, and we can construct the boundedness of all signals in the closed-loop structure through the controller, which can drive the formation of a given reference signal. In the end, the effectiveness of the presented strategy is referred to a simulation example.
Survey on the Authentication and Key Management of 802.11s

Wireless Mesh Network expanded the capability of the conventional wireless networking by allowing the nodes to operate in proactive mode, reactive mode or the combination of both, the hybrid mode in the multi-hopping nature. By doing so, the links between the nodes become much more robust and reliable because of the number of paths to reach a destination node from a source node can be more than 1 and do not need to rely on the access point (AP) alone to relay the messages. As there may be many possible ways to form an end-to-end link between 2 nodes, the routing security becomes another main concern of the 802.11s protocol. Besides its reliance on the 802.11i for the security measures, 802.11s also includes some new features such as the Mesh Temporal Key (MTK) and the Simultaneous Authentication of Equals (SAE). The authentication and key management (AKM) process of 802.11s were observed in this paper.
EFFECT OF BIOSTIMULATOR “FERTILEADER GOLD”

The aim of the research was to determine the influence of foliar nutrition with “Fertileader Gold” on growth indices of sunflower plants under field conditions. Results showed that foliar application of mentioned biostimulant increased the growth rate with about 6% compared to control. The highest positive influence of the fertilizer was on the head diameter (about 28% at stage 70 days after planting), comparing with plant height. This study may help the integrated nutrient management for oil seed crops especially the sunflower, and biostimulators as “Fertileader Gold” can be beneficial to improve growth and development of treated sunflower.
Effects of stachyose,xylooligosaccharide and galatooligosaccharide on growth of Bifidobacterium Bifidum

Effects of stachyose,xylooligosaccharide and galatooligosaccharide on growth of Bifidobacterium Bifidum BB01 were studied by using MRS media as the control.The result shows as follows:Stachyose added 0.2%~1.0% concentration in MRS media has a growth-promoting effect on B.Bifidum BB01.Xylooligosaccharide added 0.2%~1.0% concentration has no influence on growth of B.Bifidum BB01.Galatooligosaccharide added 0.2%~1.0% concentration has an obviously growth-promoting effect on B.Bifidum BB01,which can shorten the time of culture.
The efficacy of conservative treatment methods in pressure ulcers

Background: Pressure ulcer is defined as the localised destruction of skin and the underlying tissues, caused by a combination of prolonged pressure, friction and shear forces, resulting in tissue ischemia and necrosis. In addition to prevention, treatment of ulcers has an important role. This study analyses, the effectiveness of conservative treatment methods.Aim: The aim of the present study was to investigate the efficacy of conservative treatment methods in patients with ulcers and to evaluate these methods.Material and Methods: The present study is a systematic review. The search was conducted in Greek and international bibliography on electronic databases: Pubmed, Cinahl, Sciverse Scopus Proquest, as well as in translations of major international scientific organisations such as EPUAP and NPUAP. The date of writing the articles ranges from 2010 to 2017. Articles were selected based on the title, summary, and content.Results: The results of the present study revealed the efficacy of various conservative methods of dealing with pressure ulcers based on the publication of studies in medical data bases. The treatment is multifactorial and requires special knowledge from healthcare professionals, attention and assessment of a sprawl. The ineffective treatment of ulcers can lead to death, especially if not treated on time and in the right way.Conclusions: The findings show that the treatment depends on the severity of the pressure ulcer in relation to the general condition of the patient (condition, age, diet, weight, immobility, personal hygiene). Nonetheless, it can be addressed by proper prognosis, timely assessment, and appropriate countermeasures. These require sufficient knowledge of doctors and nurses over the existing conservative therapies and what / when they should be applied.
Floral Nectaries of Rosmarinus officinalis L. Structure, Ultrastructure and Nectar Secretion

The nectary of Rosmarinus officinalis L. has the form of a four-lobed, asymmetrical disc situated around the base of the ovary. The nectary lobe facing the lower flower lip is enlarged and is the only one to have modified stomata. Vascular strands consisting of phloem only occur in the nectariferous tissue. It is suggested that the pre-nectar originating in the phloem accumulates primarily as starch grains in plastids of the nectariferous cells. The number of grains is very large before anthesis and decreases considerably at anthesis. The transport of the pre-nectar to the various nectariferous cells appears to be mainly via the symplast
Isolation of melanin from testae of Prunus ameniaca Linn.

Melanin was extracted from testae of Prunus ameniaca first and the effective extraction of melanin was explored.The result showed the melanin was suitable to be extracted twice with 0.5 mol/L NaOH at 60 ℃ for 12 h,and the operation should be carried out under nitrogen to avoid excessive oxidation.After acid hydrolysis,further purification with organic solvents and repeated precipitation,4.73% yield of melanin was obtained.The melanin from testae of Prunus ameniaca contained higher total phenolic content,about 262 mg gallic acid equivalents per gramme.The physicochemical properties of the melanin from testae of Prunus ameniaca showed a strong similarity to these of synthetic DOPA melanin.They were insoluble in both water and common organic solvents but dissolved only in alkali,while precipitated in alkaline FeCl3 and when pH is below 3,and were bleached in KMnO4,K2Cr2O7,NaClO and H2O2,and produced a blue color with FeSO4/ferricyanide.In the ultraviolet and visible range of wavelengths the melanin absorption spectrum represents the decreasing line.The infrared spectra had the same strong absorption peaks as the broad band at 3 400 cm-1 and at 1650-1620 cm-1,respectively.
A Framework for Real Time Vehicle Pose Estimation based on synthetic method of obtaining 2D-to-3D Point Correspondence

In this work we present a robust and fast approach to estimate 3D vehicle pose that can provide results under a specific traffic surveillance conditions. Such limitations are expressed by single fixed CCTV camera that is located relatively high above the ground, its pitch axes is parallel to the reference plane and the camera focus assumed to be known. The benefit of our framework that it does not require prior training, camera calibration and does not heavily rely on 3D model shape as most common technics do. Also it deals with a bad shape condition of the objects as we focused on low resolution surveillance scenes. Pose estimation task is presented as PnP problem to solve it we use well known “POSIT” algorithm [1]. In order to use this algorithm at least 4 non coplanar point’s correspondence is required. To find such we propose a set of techniques based on model and scene geometry. Our framework can be applied in real time video sequence. Results for estimated vehicle pose are shown in real image scene.
Higher disease activity and lower renal function in patients with rheumatoid arthritis are associated with loss of muscle mass: results from a long‐term follow‐up study

Muscle mass or strength is an important factor of activities of daily living in patients with rheumatoid arthritis (RA). However, there are few reports analysing the long‐term change in muscle mass in these patients. The aim of this study was to examine the relationship of patient's background or disease activity of RA with change in muscle mass after 7 years.
Quantum Collaborative K-means

Recently, more researchers are interested in the domain of quantum machine learning as it can manipulate and classify large numbers of vectors in high dimensional space in reasonable time.In this paper, we propose a new approach called Quantum Collaborative K-means which is based on combining several clustering models based on quantum K-means. This collaboration consists of exchanging the information of each algorithm locally in order to find a common underlying structure for clustering. Comparing the classical version of collaborative clustering to our approach, we notice that we have an exponential speed up: while the classical version takes $\mathcal{O}\left( {K \times L \times M \times N} \right)$, the quantum version takes only $\mathcal{O}{\text{ }}\left( {K \times L \times \log \left( {M \times N} \right)} \right)$. And comparing to the quantum version of K-means, we get a better solution in terms of the criteria of validation which means in terms of clustering. The empirical evaluations validate the benefits of the proposed approach.