Miracle-dz/UniFAR-FTUs huggingface dataset:
IMPROVING THE TRANSMISSION PERFORMANCE BASED ON MINIMIZING ENERGY IN MOBILE ADHOC NETWORKS

Networking is collectively no of mobile nodes allocate users to correctly detect a distant environment. These wireless mobile networks want strong but simple, scalable, energy efficient and also self organize routing algorithms. In Mobile technology small quantity of power electronics and less power radio frequency have permit the expansion of small, comparatively economical and less power nodes, are associated in a wireless mobile networkIn this study we proposed method are: energy effectiveness, energetic occurrence zone and multiple hop TRANSMIT, taking into concern between the energy of transmit nodes and distance from the transmit node to the trusted neighbor node, link weight energy utilization and distance are measured as most important constraint for decide on greatest possible path from Zone Head (ZH) to the neighbor node. In this we use the different constraints and lessen the quantity of distribution messages during the Transmit node choice point to decrease the energy utilization of the complete network.
Robust Non‐negative Matrix Factorization with β‐Divergence for Speech Separation

This paper addresses the problem of unsupervised speech separation based on robust non‐negative matrix factorization (RNMF) with β‐divergence, when neither speech nor noise training data is available beforehand. We propose a robust version of non‐negative matrix factorization, inspired by the recently developed sparse and low‐rank decomposition, in which the data matrix is decomposed into the sum of a low‐rank matrix and a sparse matrix. Efficient multiplicative update rules to minimize the β‐divergence‐based cost function are derived. A convolutional extension of the proposed algorithm is also proposed, which considers the time dependency of the non‐negative noise bases. Experimental speech separation results show that the proposed convolutional RNMF successfully separates the repeating time‐varying spectral structures from the magnitude spectrum of the mixture, and does so without any prior training.
A variational linguistics approach to term extraction

This paper describes how a toolset developed within variational linguistics for the purposes of identifying regional variants, can be used in the field of term extraction. The notion of stable lexical marker will be introduced as a method to quantify termhood as a function of both high relative frequency and uniform dispersion of words in a specialised domain. As such, the work is an extension of so called contrastive approaches to term extraction. The Belgian legal domain will serve as a case study.
The Design of PLL Circuits Based on Clock Recovery System

In this paper, a PLL circuits based on clock recovery system which based on phase controlled technology is studied. All units were designed by the following orders——PFD、charge pump、LPF、VCO and frequency? divider. All the design is fabricated in a 2.5V, 0. 25μm first silicon CMOS process. The simulation results show that the acquisition time is only 2.4us, and the outputs fre-quency spectrum presents a higher purity. So the PLL circuits have the characteristic of high-speed and low-noise.
The legal and market aspects of electronic signatures

Artikel 12 der EG-Richtlinie zu elektronischen Signaturen verpflichtet die Europäische Kommission, die „Durchführung dieser Richtlinie“ im Rahmen eines Berichts zu prüfen. Der folgende Beitrag beinhaltet eine Zusammenfassung der Ergebnisse der Studie, welche zwischen März und Oktober 2003 von dem fünfköpfigen Autorenteam im Auftrag der Europäischen Kommission (Service Contract Nr. C 28.400) erstellt wurde.
Language Leamability: An Overview of the Issues

In this paper, I summarize an approach to language acquisition that has become extremely influential: language learnability. I argue that knowledge of this approach is beneficial to second language teachers. I present the major characteristics of the principles and parameters model of grammar as it has been applied to second language acquisition. The influence of philosophy (theories of mind), psychology (theories of learning), and linguistics (theories of language) is outlined. I conclude by discussing the research and pedagogic implications of this discipline.
Unsupervised Algorithms for Cross-Lingual Text Analysis, Translation Mining, and Information Retrieval

With the ongoing growth of the global network and information influx in today’s increasingly connected world, more and more content becomes readily available in a plethora of different languages, dialects, unofficial and community languages. Considering the large amount of multilingual data which are typically unstructured but thematically aligned and comparable, there is a pressing need to build unsupervised algorithms which can deal with such multilingual data, and address the problems of meaning, translation and information retrieval in multilingual settings. The thesis has four major contributions in the research fields of data mining, natural language processing and information retrieval. First, we present and describe a full overview of the newly developed multilingual probabilistic topic modeling (MuPTM) framework for mining multilingual data. The framework is utilized to induce high-level language-independent representations of textual information (e.g., words, phrases and documents). Second, we propose a new statistical framework for inducing bilingual lexicons (i.e., addressing the problem of translation) from parallel data that is based on the novel paradigm of sub-corpora sampling. Third, we introduce a new statistical framework for modeling cross-lingual semantic similarity (i.e., addressing the problem of meaning) and inducing bilingual lexicons (i.e., the problem of translation) from comparable data. Here, we make a series of contributions to the field of (multilingual) natural language processing and its sub-field of distributional semantics by (i) proposing a series of MuPTM-based models of cross-lingual semantic similarity, (ii) designing an algorithm for detecting only highly reliable
Effectiveness of combination therapy with ISA101 vaccine for the treatment of human papillomavirus-induced cervical cancer

Cervical cancer is one of the women-associated tumors that affects numerous people yearly. It is the fourth most common malignancy in women worldwide. Following early diagnosis, this cancer can be cured mainly by traditional methods such as surgery, tumor resection, and chemotherapy; nonetheless, it becomes more challenging to treat in advanced and metastatic stages. With the advent of novel treatments such as angiogenesis inhibitors or immuno-checkpoint blockers in recent years, the survival rate of patients with advanced cervical cancer has significantly increased. However, it has not yet reached a satisfactory level. It has been revealed that human papillomavirus (HPV) infection is responsible for more than 90% of cervical cancer cases. However, evidence revealed that monotherapy with anti-HPV vaccines such as ISA101 could not affect tumor growth and progression in patients with HPV-induced cervical cancer. Therefore, combining ISA101 and immune checkpoint blockers or other immunotherapeutic approaches may be more robust and effective than monotherapy with ISA101 or immune checkpoint blockers for treating cervical cancer. This review summarizes the ISA101 properties, advantages and disadvantages. Furthermore, various conducted combination therapies with ISA101 and the effectiveness and challenges of this treatment have been discussed.
3D Reconstruction of Underwater Natural Scenes and Objects Using Stereo Vision

Over the last two decades, research community of computer vision has developed various techniques suitable for underwater applications using intensity images. This chapter will explore 3D reconstruction of underwater natural scenes and objects based on stereo vision, which will be helpful in mine detection, inspection of shipwrecks, detection of telecommunication cables and pipelines. The general steps involved in 3D reconstruction using stereo vision are provided. The brief summary of papers for 3D reconstruction of underwater environment is presented. 3D reconstruction of underwater natural scenes and objects is challenging problem due to light propagation in underwater. In contrast to light propagation in the air, the light rays are attenuated and scattered, having a great effect on image quality. We have proposed preprocessing technique to enhance degraded underwater images. At the end of the chapter, we have presented the proposed stereo vision based 3D reconstruction technique to reconstruct 3D surface of underwater objects. Ultimately, this chapter intends to give an overview of the 3D reconstruction technique using stereo vision in order to help a reader in understanding stereo vision and its benefits for underwater applications. DOI: 10.4018/978-1-4666-0113-0.ch005
Simulators for the Internet of Things

The thesis delivers an extensive review of free and open-source simulation tools useful for IoT simulation. The work deals with free simulators and other tools and sources applicable to simulation of IoT use cases. Roughly 80 tools and other sources were reviewed. Different application domain simulators were enlisted (smart home, connected vehicles, smart city, smart grid, UAV.), network simulators, WSN simulators, discrete event simulators, virtualization tools, emulators and simulators of embedded devices, context simulators (agent based modelling tools), data generators (GPS, MQ), sensor simulators and cosimulators. In connection with simulation we also listed: prototyping tools, real time operating systems (for resource-constrained devices), middleware, development platforms, open testbeds, metodologies, standalone simulator software specifications. Enlisted tools were described with emphasis on key functional characteristics. A comparative table was added to facilitate the process of searching for required tools. Possible procedures for modelling are included, as well as practical tips how to use the use of comparative table. The procedure of modelling and execution of simulation was presented by practical use case. Several risk factors and issues associated with IoT development were identified. A possible approach to deal with them is modelling and simulation. Conclusions and findings: natural correlation between open source simulators and IoT ad hoc architectural characteristics, intuitive modelling by assembling open source simulation tools in manner of lego bricks, usage of agent-based modelling to humanize the simulted situation, simulation as a backbone of IoT development.
A novel detection method for the pathogenic Aeromonas hydrophila expressing aerA gene and/or hlyA gene based on dualplex RAA and CRISPR/Cas12a

Aeromonas hydrophila is an emerging waterborne and foodborne pathogen with pathogenicity to humans and warm water fishes, which severely threatens human health, food safety and aquaculture. A novel method for the rapid, accurate, and sensitive detection of pathogenic A. hydrophila is still needed to reduce the impact on human health and aquaculture. In this work, we developed a rapid, accurate, sensitive, and visual detection method (dRAA-CRISPR/Cas12a), without elaborate instruments, integrating the dualplex recombinase-assisted amplification (dRAA) assay and CRISPR/Cas12a system to detect pathogenic A. hydrophila expressing aerA and/or hlyA virulence genes. The dRAA-CRISPR/Cas12a method has high sensitivity, which can rapidly detect (about 45 min) A. hydrophila with the limit of detection in 2 copies of genomic DNA per reaction, and has high specificity for three pathogenic A. hydrophila strains (aerA+hlyA−, aerA−hlyA+, and aerA+hlyA+). Moreover, dRAA-CRISPR/Cas12a method shows satisfactory practicability in the analysis of the spiked human blood and stool and fish samples. These results demonstrate that our developed pathogenic A. hydrophila detection method, dRAA-CRISPR/Cas12a, is a promising potential method for the early diagnosis of human A. hydrophila infection and on-site detection of A. hydrophila in food and aquaculture.
New insight into the analgesic recipe: A cohort study based on smart patient-controlled analgesia pumps records

Purpose: Intravenous patient-controlled analgesia (IV-PCA) has been widely used; however, regimen criteria have not yet been established. In China, the most often used opioid is sufentanil, for which repeated doses are a concern, and empirical flurbiprofen axetil (FBP) as an adjuvant. We hypothesized that hydromorphone would be a better choice and also evaluated the effectiveness of FBP as an adjuvant. Methods: This historical cohort study was conducted in two tertiary hospitals in China and included 12,674 patients using hydromorphone or sufentanil for IV-PCA between April 1, 2017, and January 30, 2021. The primary outcome was analgesic insufficiency at static (AIS). The secondary outcomes included analgesic insufficiency with movement (AIM) and common opioid-related adverse effects such as postoperative nausea and vomiting (PONV) and dizziness. Results: Sufentanil, but not the sufentanil-FBP combination, was associated with higher risks of AIS and AIM compared to those for hydromorphone (OR 1.64 [1.23, 2.19], p < 0.001 and OR 1.42 [1.16, 1.73], p < 0.001). Hydromorphone combined with FBP also decreased the risk of both AIS and AIM compared to those for pure hydromorphone (OR 0.74 [0.61, 0.90], p = 0.003 and OR 0.80 [0.71, 0.91], p < 0.001). However, the risk of PONV was higher in patients aged ≤35 years using FBP (hydromorphone-FBP vs. hydromorphone and sufentanil-FBP vs. hydromorphone, OR 1.69 [1.22, 2.33], p = 0.001 and 1.79 [1.12, 2.86], p = 0.015). Conclusion: Hydromorphone was superior to sufentanil for IV-PCA in postoperative analgesia. Adding FBP may improve the analgesic effects of both hydromorphone and sufentanil but was associated with an increased risk of PONV in patients <35 years of age.
Mycotoxin contamination in feeds and feed materials in China in year 2020

A survey of mycotoxin contamination in feed commodities in China was performed and the regional differences of mycotoxin contamination in new season corn was assessed during January 2020–November 2020 in this research. 1,610 samples were analyzed for the major mycotoxins, namely aflatoxins, zearalenone (ZEN), trichothecenes type B, fumonisins (FUM), fusariotoxin T-2 (T-2) and ochratoxin A (OTA) using methods of liquid chromatography—tandem mass spectrometry and enzyme linked immunosorbent assay. Generally, aflatoxins occurred in 16% of all samples, and ZEN, trichothecenes type B and FUM were more prevalent with positive rates of 47, 72, and 63%, respectively. T2 and OTA were rarely detected. In new season corn, samples were also seriously contaminated with ZEN, trichothecenes type B, and FUM at positive rates of 47, 76, and 79%, respectively, and their averages of positives were 112, 735, and 3,811 μg/kg, respectively. The patterns of mycotoxin occurrence showed distinct regional trends in new season corn samples. Samples from Shandong province were highly contaminated with FUM, while special attention should be paid to aflatoxins in Anhui and Jiangsu provinces of East China. The contents of trichothecenes type B and ZEN from northern to southern provinces showed downward trends. In new season corm, co-occurrence of mycotoxins was widespread, and combinations of ZEN, trichothecenes type B, and FUM were frequently observed in this study. Trichothecenes type B and ZEN concentrations showed a positive correlation coefficient of 0.294, suggesting that toxicological interactions of these toxins deserve attention.
Content based image retrieval using color histogram

In this paper, we present content based image retrieval using color Histogram. Color algorithm using color histogram was applied. Humans tend to differentiate images based on color, therefore color features are mostly used in CBIR. Color histogram is mostly used to represent color features but it cannot entirely characterize the image. The results clearly indicate that Color Histogram techniques give better precision and recall.
Low-crosstalk silicon-photonics arrayed waveguide gratings integrated with micro-ring filter

A low-crosstalk compact arrayed waveguide grating integrated with a tunable micro-ring resonator is demonstrated on silicon-on-insulator platform, The side-lobe of the silicon nanowire AWG, introduced by fabrication errors, can be effectively suppressed by the Ring Filter, The crosstalk level of the side-lobe can be reduced from -16.3 dB to -26.8dB, in addition, the crosstalk of integrate AWG have improved over the entire 3 dB bandwidth, with a maximum crosstalk improvement of 8.9 dB at the left and right wavelengths of the 3 dB bandwidth, and the excess loss from the ring resonator can be ignorable in principle.
The dynamics of multilingualism

Levelt’s blueprint of speech production and perception (Levelt 1989; Levelt, Roelofs, & Meyer 1999) has been widely accepted and is well established. One of the crucial characteristics of the model is its modularity, which is required to account for the speed with which we speak (about two to three words per second). At the same time, the modular principle of the model is also its Achilles heel. In current dynamic approaches to language processing, it is assumed that the language system is not stable and static, but instable and dynamic. In these approaches, language production and comprehension are not seen as sequential processing in a series of separate modules, but as an integrated dynamic system that is characterised by a multidimensional state space with numerous attractors at different levels. In the wake of earlier suggestions to adapt the Levelt model to the multilingual speaker (De Bot 1992; De Bot 2000), this paper discusses the robustness of the model to a dynamic language system and tests to what extent it is in line with a dynamic, usage based approach to language processing.
Süt Keçilerinde Tart-Emzir-Tart (TET) ve Elle Sağım (ES) Yöntemlerinin Süt Verimi ve Bileşenleri Ölçümlerinin Karşılaştırılması

Amac: Bu calismada, oglak emzirme donemindeki sut tipi kecilerde iki sut kontrol yonteminin sut miktari ve sut bilesimlerine etkisi irdelenmistir. Materyal ve Metot: Calisma, 4-5 yaslarindaki 8 Turk Saanen kecisi ve 8 (3 D; 5 E) bunlarin 8 oglaginda yurutulmustur. Calismada, ortalama 47.5±0.50 gunluk yastaki ve 12.9±1.36 kg canli agirligindaki disi oglaklar ile 16.0±1.06 kg canli agirligindaki erkek oglaklar kullanilmistir. Sut kontrolleri tart-emzir-tart (TET) + elle sagim ve elle sagim (ES) ile yapilmistir. Sut kontrollerinde her bir kecinin sut ornegi alinarak laboratuvar ortaminda analiz edilmistir. Bulgular: C al ismada TET yonteminde ve ES yontemine gore biraz daha yuksek sut elde edilmistir (P=0.0777). Keci ile oglagin 14 saat sureyle ayri kaldigi sabah sagim periyodunda kecilerde daha fazla sut elde edilmistir (P<0.0001). Sut yagi icerigi TET yonteminde ES yontemine gore daha yuksek olurken, diger sut bilesenleri ES yonteminde daha yuksek belirlenmistir (P≤0.05). Calismada TET yonteminde elle sagimla elde edilen sutun memede kalan sut oldugu icin sut yaginin daha yuksek ciktigi soylenebilir. Calismada, ortalama 47-60 gunluk yastaki oglaklar periyot basina ortalama 880 g/oglak sut emmislerdir. Oglaklar sabah periyoduna gore aksam periyodunda ve erkeklerde disiler gore daha fazla sut emmislerdir (P≤0.05). Sonuc: Sut kontrol yontemlerinin belirlenmesinde isletme kosullari goz onune alinarak TET veya ES yontemlerinden birisi secilebilir. Ancak oglagin emdigi sut miktarini etkileyebilecek yas, cinsiyet, dogum tipi, anneden ayri kalma sureleri, emzirme kosullari ve isgucu gibi varyasyon kaynaklarina dikkat edilmesi gerektigi soylenebilir.
The impact of e-customer relationship marketing in hotel industry

Technological innovation and the growth of the internet as an electronic medium have led to the emergence of online travel distribution channels. The present research investigates the extent to which Greek hotels had developed the electronic customer relationship marketing (e-CRM). The study verifies the practices that frequently appear in relationship marketing process within online operations or whether their internet presence mainly depends on the basic actions of 'supplying information' and 'reservations'. Also, it investigates the effects of e-CRM system on customer loyalty and satisfaction as well as the impact of relationship marketing practices to customer retention and acquisition. They have understood the importance of using electronic channels instead of traditional ones to implement their marketing strategies. Thus, e-CRM system has assisted hotel business to manage more effectively their reservations and serve their customers as fast and as effective as possible. They did not seem to apply ma.
Agency Drives Category Structure in Instrumental Events

Thematic roles such as Agent and Instrument have a longstanding place in theories of event representation. Nonetheless, the structure of these categories has been difficult to determine. We investigated how instrumental events, such as someone slicing bread with a knife, are categorized in English. Speakers described a variety of typical and atypical instrumental events, and we determined the similarity structure of their descriptions using correspondence analysis. We found that events where the instrument is an extension of an intentional agent were most likely to elicit similar language, highlighting the importance of agency in structuring instrumental categories.
Allocation of Static VAr Compensators Using Optimal Reactive Power Flow and Branch & Bound Algorithm

This paper presents a model based on a Optimal Reactive Power Flow (ORPF) to allocation of Static VAr Compensator (SVC) in the power transmission network. The SVC was modeled as a variable susceptance and inserted into Ybus matrix. For discretization of the devices to be allocated in the system were used binary variables associated to SVC susceptance. A multiobjective function formed by two parts, active power losses and voltage deviation, was used in the ORPF formulation. In each one of parts was associated a parameter that allows to give more or less weight to each part. Due to the problem characteristics, Mixed Integer Nonlinear Programming (MINLP), was used a Branch & Bound (B&B) algorithm associated with the ORPF. The model was tested in the IEEE 118 bus system. The results show that the modeling and the technique of solution used are appropriate for SVCs allocation and powersystem analysis
Research on Self-Organization Reliability of Wireless Sensor Network

Based on in-depth study of robustness theory of complex network,aiming on the two situations: deficiency of WSN nodes and under external attack,this paper analyzes the error tolerance ability of different topologies of WSN,(obtains optimized) self-organized topological models of WSN and proposes a refined routing algorithm based on WSN. (Simulation) results indicate that such algorithm can increase the survivability of WSN under different sorts of failures(remarkably.)