Miracle-dz/UniFAR-FTUs huggingface dataset:
An Unsupervised Learning Approach for Performance and Configuration Optimization of 4G Networks

Performing an efficient management of mobile networks has become an increasingly difficult task, as these networks are becoming more complex, which results in more data to evaluate and optimize. This paper is focused on the performance evaluation of a Long Term Evolution (LTE) network using unsupervised learning techniques. The main objective is to detect groups of cells that show similar performances and, consequently, to identify the groups that perform below the desired threshold. Additionally, this work also aims to identify which cell configurations are associated with the best performance. In order to fulfill the first objective, a methodology based on the application of clustering algorithms to features extracted from Key Performance Indicators (KPIs) was developed. Regarding the second objective, statistical testing was applied to evaluate the dependence between the cells configuration and the respective cells performance. It was verified that there is not a significant difference in the obtained results using different clustering algorithms. In the majority of the cases, only two groups of cells were identified: one group consisting essentially on the cells with the best performance and the other group containing the worst performing cells. As far as the connection between configuration data and performance data is concerned, only one influencing case, referring to a parameter associated with the cell subscription capacity, was detected.
Performance of an oligophagous insect in relation to the age of the host plant

A performance de insetos folivoros monofagos e oligofagos deveria ser afetada negativamente pelo envelhecimento das suas plantas hospedeiras. Plutella xylostella L. (Lepidoptera: Yponomeutidae), uma especialista em Cruciferae, foi criada em laboratorio com folhas destacadas de repolho (Brassica oleraceae var. capitata). Foram utilizadas a quarta folha expandida de plantas de diferentes idades mais as folhas dos tres estratos da planta madura. O envelhecimento da planta aumentou a mortalidade pre-imaginal e reduziu a taxa de desenvolvimento das larvas, o peso das pupas e a fecundidade dos adultos. A taxa reprodutiva liquida (Ro) e a taxa intrinseca de crescimento populacional (r) diminuiram com o envelhecimento da planta. Nenhuma das categorias de folhas da planta madura mostrou-se qualitativamente superior as folhas de plantas mais jovens. Se em condicoes de campo existir uma correlacao positiva entre preferencia de oviposicao e performance da prole, espera-se uma tendencia temporal decrescente na intensidade de ataque de larvas ao longo do desenvolvimento da planta.
VCO-based Feature Extraction Architecture for Low Power Speech Recognition Applications

This work proposes a new approach for speech recognition and voice activity detection tasks. The main limitation of the state-of-the-art solutions for this type of applications is the high power consumption and the silicon area required, which strongly limit their implementation on portable devices. In this manuscript, we propose a new solution based on making use of voltage-controlled-oscillators based analog-to-digital converters (VCO-based ADCs). VCO-based ADCs have enabled efficient audio-oriented implementations in terms of power and area. Here, a VCO-based band-pass filter is proposed to extract the features of analog input sound signals and generate a digital output stream encoding the mel-frequency cepstrum coefficients (MFCCs). This digital signal will be processed afterwards by a decision circuit to determine whether the sound signal corresponds to a pattern. Additionally, the same VCO can be reused to implement both the band-pass filters in the decision mode and the standard ADC output once a keyword or voice has been detected, saving significant area. A behavioral model of the filter was built to validate the performance by simulation. Then, the architecture was designed using a 130-nm CMOS process to get a realistic outlook of the power consumption and the expected occupied area on silicon. Finally, the proposed solution was compared to other equivalent solutions.
Culture Condition for Listeria monocytogenes 1421 Biofilm Formation and the Effect of Kimchi on Biofilm

Listeria monocytogenes, a fatal food-borne pathogenic bacteria, can form a biofilm on many different supports. The biofilm gives L. monocytogenes more viability and resistance to disinfectants and sterilization procedures. L. monocytogenes formed biofilms on various culture vessels tested in this experiment and showed the maximum amount of biofilm when it was cultured for 4 days at 30℃ in BHI broth. In this study, biofilm formation was stimulated or inhibited by addition of different Kimchi samples. That was not in accordance with the effect of Kimchi on the growth of L. monocytogenes.
Field Theory in the Imaginary-time Formulation

The imaginary-time formulation is investigated in the field theory. The Dirac and photon's Lagrangians are treated in the imaginary-time and space and are invariant under scale transformations, which are motivated by the Tolman-Ehrenfest relation and Wilson's approach in the renormalization group. With the functional approaches, the propagators of leptons and photons can be derived both for the real- and the imaginary-time. The theory is free of UV divergence in the integration range of the imaginary-time, $(0,\beta\,]$, which is required by the KMS condition. The results of one-loop radiative corrections are proved to be consistent with those in QED. The renormalization group equations with respect to vacuum's temperature give no Landau pole and show identical renormalization coefficients as those from the $\overline{MS}$ scheme of the renormalization in the limit of zero temperature.
Perfectly Secure Property Rights and Production Inefficiencies in Tullock Contests

From the point of view of institutional economics, property rights are an instrument to shape individual incentives efficiently. For the case of a Tullock contest with endogenously determined rent, I analyze the circumstances under which perfectly secure property rights emerge in an economy where the security of property is endogenously determined. I analyze different sequential structures for the determination of defensive and appropriative investments and determine the equilibrium sequence of moves if the sequential structure is endogenous. It turns out that in subgames where perfectly secure property rights emerge, incentives for production are still inefficient. In addition, it can be shown that the endogenous determination of moves leads to a sequence of events that result in open conflict even if perfectly secure property rights would have been an alternative.
Local Fast Rerouting with Low Congestion: A Randomized Approach

Most modern communication networks include fast rerouting mechanisms, implemented entirely in the data plane, to quickly recover connectivity after link failures. By relying on local failure information only, these data plane mechanisms provide very fast reaction times, but at the same time introduce an algorithmic challenge in case of multiple link failures: failover routes need to be robust to additional but locally unknown failures downstream.This paper presents local fast rerouting algorithms which not only provide a high degree of resilience against multiple link failures, but also ensure a low congestion on the resulting failover paths. We consider a randomized approach and focus on networks which are highly connected before the failures occur. Our main contribution are three simple algorithms which come with provable guarantees and provide interesting resilience-load tradeoffs, significantly outperforming any deterministic fast rerouting algorithm with high probability.
Joint Network Admission Control, Mode Selection and Power Allocation in Energy Harvesting enabled D2D Communication

Green communication with energy harvesting techniques are being considered for 5th generation cellular networks to conserve energy and to prolong network life time. Moreover, Device to Device (D2D) communication on shared channels for 5G cellular networks is also a promising technology to achieve higher data rates, ultra-low latency communication and spectral efficiency. Presently, network optimization with an aim to maximize network throughput by meeting joint constraints of admitted user performance, maximization of admitted users, resource allocation, mode assignment as per available energy, power allocation along with different energy harvesting techniques have not been investigated in the literature due to it's infeasible nature. In this paper, we have formulated NP hard mix integer nonlinear programming (MINLP) optimization problem and then we have proposed a low complexity and efficient algorithm, Adaptive Resource Allocation and Energy Sentient Network (ARA-ESN) using Branch-Bound and Mesh Adaptive Direct Search (MADs) methods with energy harvesting through ambient energy and Radio Frequency (RF) energy transfer techniques. We have applied outer approximation approach (OAA) based linearization technique, which guarantees convergence to the optimal solution. The results show that ARA-ESN MADS outperforms ARA-ESN Branch-Bound method interms of performance and complexity. Moreover, ambient harvesting increases performance of network due to better acquisition of energy as compared to RF energy transfer.
Weak nonlinearities: a new route to optical quantum computation

Quantum information processing (QIP) offers the promise of being able to do things that we cannot do with conventional technology. Here we present a new route for distributed optical QIP, based on generalized quantum non-demolition measurements, providing a unified approach for quantum communication and computing. Interactions between photons are generated using weak nonlinearities and intense laser fields—the use of such fields provides for robust distribution of quantum information. Our approach only requires a practical set of resources, and it uses these very efficiently. Thus it promises to be extremely useful for the first quantum technologies, based on scarce resources. Furthermore, in the longer term this approach provides both options and scalability for efficient many-qubit QIP.
Correlations with strange particles in a multi-pomeron exchange model

We propose a further development of a multi-pomeron exchange model of pp and pp̄ collisions at high energy. The model describes consistently multiplicity, transverse momentum of charged particles and their correlation in wide energy range (from ISR to LHC) by introducing string collectivity effects in pp collisions. The particles species differentiation is implemented according to Schwinger mechanism. Due to the influence of higher resonances on the yields of observed particles, we implement the production of a large set of hadron resonances with cascade decays. We present the results on pion, kaon and proton yields as a function of the collision energy and the correlation of strange and multi-strange hadrons with multiplicity and compare the results with experimental data.
A Power Mixer Based Dual-Band Transmitter for NB-IoT Applications

Narrow Band Internet of Things (NB-IoT) technology has played an important role in low-rate and long-range IoT applications. A fully integrated dual-band transmitter (TX) based on a novel power mixer is illustrated in this paper. The power mixer occupies very small chip area using only one balun and achieves low power by operating at class-AB region. In addition, gain-boosting structure is introduced to improve the linearity target: third-order counter intermodulation (CIM3). Implemented in 65 nm RF CMOS technology, the TX combined of a third-order low-pass filter and a power mixer consumes 50 mW at an output power of 0 dBm for low-band (824-915 MHz) and 56 mW at -0.8 dBm for mid-band (1695-1710 MHz). The TX can be configured to show better than -59 dBc CIM3. The error vector magnitude (EVM) of QPSK modulated signal is 1.1% at 0.3 dBm for low-band and 1.3% at -0.8 dBm for mid-band. The overall chip area is only 0.9 mm2.
Exploring The Interaction Effects for Temporal Spatial Behavior Prediction

In location based services, predicting users' temporal-spatial behavior is critical for accurate recommendation. In this paper, we adopt a joint embedding (JointE) model to learn the representations of user, location, and users' action in the same latent space. The functionality of a location is the critical factor influencing different elements of the behavior and is learned by an embedding vector encoding crowd behaviors. A user personalized preference is learned from the user historical behaviors and has two features. One is the combination of action and location, which is learned by maximizing the semantic consistency of the observed behaviors. The other is the periodic preference. Inspired by the notion of periodical temporal rules, we introduce the concept of temporal pattern to describe how often users visit places so as to reduce the high temporal variance of behaviors. A projection matrix is introduced to combine the temporal patterns with location functionality. A user behavior is predicted by the joint probability on behavior elements. We conduct experiments against two representative datasets. The results show that our approach outperforms other approaches.
The Effects of Different Slaughter Ages and Sex on Carcass Characteristics in Japanese Quails of Different Lines ( Coturnix coturnix japonica)

Ozet: Bu calo�manon amaco Japon boldorconlaronda cinsiyet ve kesim ya �onon ( Coturnix coturnix japonica ) canlo a �orlok ve bazo karkas ozelliklerine etkilerini belirlemektir. Aratormada materyal olarak 5. hafta canlo a �orlo�ona gore 11 generasyon yuksek canlo a �orlok yonunde seleksiyon uygulanmo� Japon boldorcon hatto kullanolmo�tor. Ya �on, canlo a �orlok, karkas a �orlo�o ve karkas randomano uzerine etkisi onemli bulunmutur. 5 haftalok yataki canlo a �orloklar dier haftalara gore daha du �uk bulunmutur (P<0,01). Ayroca cinsiyetin canlo a �orlok ve karkas a �orlo�ona etkisi onemli bulunmuolup diilerin erkeklerden daha yuksek canlo a �orlok ve karkas a �orlo�ona, buna kar �olok erkeklerin ise daha yuksek karkas randomanona sahip olduklaro saptanmo�tor. (P<0,01). Kanat yuzdesi do�onda, but, boyun ve sort yuzdesi bakomondan cinsiyetler arasonda onemli farkloloklar saptanmamo�tor. Bunun yanonda cinsiyetin cier ve talok yuzdelerine etkisi onemli bulunmutur (P<0,01). Sonuclar, kesim ya �onon but ve kanat yuzdeleri haric, karkas parcalaro ile ic organlaron yuzdelerini onemli derecede etkilediini gostermitir. Anahtar kelimeler: Karkas ozellikleri, Japon boldorcono, cinsiyet, kesim ya �o Abstract: The aim of this study was to determine the effects of sex and slaughter ages on body weight and some carcass traits in Japanese quails ( Coturnix coturnix japonica ). The material used in this research was selected for 11 generations from high (HL) body weight Japanese quail line according to 5-week body weights. Age had a significant effect on body weight, carcass weight and carcass yield. Body weight was lower for the quails slaughtered at 5 weeks of age than for all the other ages examined (P<0,01). Also, sex effect was significant on body weight and carcass weight being higher for females than for males at all ages, but males showed higher carcass yield than females (P<0,01). Except wing percent, there was no significant difference between the sexes in terms of thigh percent, neck percent and back percent. Sex had also significant effect on liver and gizzard percent (P<0,01). Furthermore, results showed that slaughter age affected percents of some internal organs and carcass parts of quails except thigh and wing percents, significantly.
Evaluating a Novel Instructional Sequence for Conceptual Change in Physics Using Interactive Simulations

This study investigated the effectiveness of a novel inquiry-based instructional sequence using interactive simulations for supporting students’ development of conceptual understanding, inquiry process skills and confidence in learning. The study, conducted in Beijing, involved two teachers and 117 students in four classes. The teachers participated in professional learning and were supported in enacting one of two different instructional approaches the Interactive Simulations Instructional Approach (ISIA) (experimental group) or conventional instruction (control group). Each student group completed pre-tests and post-tests, and classroom observations were conducted to ensure that the implementation of the intervention was consistent. Our findings reveal that students in the ISIA group demonstrated significantly greater gains in conceptual understanding, inquiry process skills and confidence in learning than their peers in the conventional instruction group. Neither students’ sex nor their levels of academic achievement showed main effects on students’ achievement in any of the three outcome types (understanding, skill, confidence). This study demonstrates that the combination of interactive simulations and inquiry-based learning can enhance the development of students’ conceptual understanding, inquiry process skills and confidence in learning.
“We put teamwork back on the agenda again and again”: The role of support systems in autonomous teamwork

Purpose – The purpose of this paper is to contribute to the literature on teamwork by focusing on the influence support systems, like industrial relations, have on teamwork. Teamwork is conceptualized through three dimensions; technical, governmental and normative.Design/methodology/approach – The paper is based on a case study approach in a single company with available data over a long period of time.Findings – Industrial relations conceptualized as local representation and partnership had a strong influence on all three dimensions of teamwork; technical, governmental and normative. Especially important is the union's involvement in the introduction of teamwork, shaping the arrangement and interpretation of it.Research limitations/implications – The paper is based on a single company, describing a particular phenomenon. Also, the contextual environment with a strong partnership culture with cooperative industrial relations is important.Practical implications – The practical implications emphasize the im.
Design and Implementation of Improved Fractional Open Circuit Voltage Based Maximum Power Point Tracking Algorithm for Photovoltaic Applications

To tap maximum available power from a non-linear energy source such as solar panel, maximum power point tracking (MPPT) algorithms are used. This paper presents an improvised version of fraction open circuit voltage based MPPT algorithm. Maximum power point of non-linear input source varies with various parameters. In the case of a solar panel, maximum power point fluctuates based on the variations in the temperature and light intensity. Hence the conventional fractional open circuit voltage based MPPT algorithm fails to extract maximum available power from the system. Based on the new algorithm presented in this paper, maximum power point tracking is possible even during the variation of temperature and irradiance received in the solar panel. Algorithm is implemented using a 250W solar panel and results are discussed in the later section of the paper.
QoE-aware Cross-Layer Adaptation for Delay-Constrained Video Transmission over Wireless Channels

In this paper a cross-layer adaptive scheme is presented for transmission of H.264 encoded video over wireless channels, under a specified delay constraint. Adaptive modulation and coding (AMC) is considered at the physical layer, accompanied by type-I hybrid automatic repeat request (HARQ) at the link layer. The HARQ scheme is cognizant of the video characteristics. It prioritizes the important independent (I) frames at the cost of dependent (P) frames, maintaining the group of pictures (GOP) deadline boundaries. At the application layer, quantization parameter (QP) variation is carried out to control the rate and quality requirements. This multi-layer adaptive scheme is modelled analytically as a multivariate nested Markov chain (MC). The proposed approach takes into account both fading and shadowing effects of the wireless channel. Numerical results highlight performance benefits of the proposed model. Realistic simulation results indicate improved performance of the proposed approach over similar multi-layer adaptation schemes in terms of video quality metrics.
Hapballoon: Wearable Haptic Balloon-Based Feedback Device

We developed The “Hapballoon”, a novel device that is worn on the fingertips. The device can present three types of sensations: force, warmth, and vibration. Force sensations are presented when the inflated balloons on individual devices contact one another. The device is easy to attach on the finger, and does not obstruct common optical finger tracking methods that track the back side of the hand in virtual reality (VR) applications. Each module weights approximately 6 grams, and the balloons are inflated via an air tube connected to a device on the user’s arm. This wearable haptic presentation device may improve the realism of various VR applications.
Generating segmental mutations in haloalkane dehalogenase

Directed evolution techniques allow us to genuinely mimic molecular evolution in vitro. To enhance this imitation of natural evolutionary processes on a laboratory scale in even more detail, we developed an in vitro method for the generation of random deletions and repeats. The pairwise fusion of two fragments of the same gene that are truncated by exonuclease BAL-31 either at the 3′ or 5′ side results in a deletion or a repeat at the fusion point. Although in principle the method randomly covers the whole gene, it can also be limited to a predefined area in the sequence by controlling the level of the initial truncation. To test the procedure and to illustrate its potential, we used haloalkane dehalogenase from Xanthobacter autotrophicus GJ10 (DhlA) as a model enzyme, since the adaptation of this enzyme towards new substrates is known to occur via the generation of this type of mutation. The results show that the mutagenesis method presented here is an effective tool for accessing formerly unexplorable sequence space and can contribute to the success of future directed evolution experiments.
#suicidal - A Multipronged Approach to Identify and Explore Suicidal Ideation in Twitter

Technological advancements have led to the creation of social media platforms like Twitter, where people have started voicing their views over rarely discussed and socially stigmatizing issues. Twitter, is increasingly being used for studying psycho-linguistic phenomenon spanning from expressions of adverse drug reactions, depressions, to suicidality. In this work we focus on identifying suicidal posts from Twitter. Towards this objective we take a multipronged approach and implement different neural network models such assequential models andgraph convolutional networks, that are trained on textual content shared in Twitter, the historical tweeting activity of the users and social network formed between different users posting about suicidality. We train a stacked ensemble of classifiers representing different aspects of suicidal tweeting activity, and achieve state-of-the-art results on a new manually annotated dataset developed by us, that contains textual as well as network information of suicidal tweets. We further investigate into the trained models and perform qualitative analysis showing how historical tweeting activity and rich information embedded in the homophily networks amongst users in Twitter, aids in accurately identifying tweets expressing suicidal intent.
Complex Bragg grating writing using direct modulation of the optical fiber with flexural waves

A flexural wave is applied to an optical fiber during the process of Bragg grating inscription using the direct writing method through a phase mask. Using this approach, we can dither the writing process to allow complex grating writing. Examples we demonstrate are tunable sampled gratings and phase-shifted gratings.