Miracle-dz/UniFAR-FTUs huggingface dataset:
Private Data International Data on Measuring Management Practices

* Bloom: Stanford University, 579 Serra Mall, Stanford CA 94305 (e-mail: nbloom@stanford.edu); Lemos: London School of Economics, Houghton Street, London, WC2A 2AE (e-mail: r.lemos@lse.ac.uk); Sadun: Harvard Business School, Harvard University, Morgan Hall (e-mail: rsadun@ hbs.edu); Scur: University of Oxford, Nuffield College, Oxford (e-mail: daniela.scur@economics.ox.ac.uk); Van Reenen: London School of Economics, Houghton Street, London, WC2A 2AE (e-mail: j.vanreenen@lse.ac.uk). † Go to http://dx.doi. org/10.1257/aer.p20161058 to visit the article page for additional materials and author disclosure statement(s). Rapid advances in computer power and increased openness of national statistical agencies have led to unprecedented availability of large firm and plant-level datasets. Consider three types of data. First, governments collect administrative data on firms: information on jobs, investment, and output has long been collected to calculate national, industrial, and regional statistics. In recent years, the underlying micro-data, typically at the establishment level, have become widely available to researchers in many countries. Second, there has been an explosion of Big Data—various forms of firm level information typically created for business purposes. Although data scraped from the Internet, video, and other media is more often discussed, the most common form of Big Data for researchers interested in companies is accounts data. In most developed countries there is a legal duty to publish basic annual accounts for the protection of investors (even if this is only a name, address, and owner), and these have been digitized by private sector firms like Bureau van Dijk (BvD). Products like ORBIS contain over 100 million firms from almost every country in the world and
Design and realization of archimedes spiral antenna for Radar detector at 2–18 GHz frequencies

In this paper, a realization of archimedes spiral antenna for a Radar detector is presented, where this Radar detectors are used to detect Radar signal transmission within the frequency range of 2-18 GHz. In this research, an antenna was designed for the above information band. Multiple frequency bands covered by this antenna S band (2-4 GHz), C band (4-8 GHz), X band (8-12 GHz) and Ku band (12-18 GHz). The designed antenna has a shape of a spiral with a diameter of 5 cm. The antenna was implemented on a Roger Duroid 5880 substrate with εr = 2.2, thickness of 0.787 mm, and 1 oz for copper cladding. These spiral antennas have ultra wideband characteristics due to the planar structure and circular polarization with impedance of 188 Ohm. From the simulation results of the designed antenna, we obtained VSWR of 1.1 up to 1,27, a gain ranging from 3 to 6 dBi, with 3dB bandwidth of 61.7 degree. There is a similarity between the measurements and the simulation results. The realized antennas show advantages, e.g., VSWR <;2 and high gain, compared which the existing antennas in the market.
Impact of DIBL variability on SRAM static noise margin analyzed by DMA SRAM TEG

The static noise margin (SNM) as well as V<inf>th</inf>, g<inf>m</inf>, body factor, and drain-induced-barrier-lowering (DIBL) in individual transistors in SRAM cells are directly measured by 16k bit device-matrix-array (DMA) SRAM TEG. It is found that, besides V<inf>th</inf> variability, DIBL variability degrades SRAM stability and its V<inf>dd</inf> dependence while the variability of g<inf>m</inf> and body factor has only a small effect.
Enhanced Protocol for Isolation of Plant Genomic DNA

A reproducible method for extraction of high-quality genomic DNA (gDNA) suitable for application in several PCR-based methods was developed after modifications to the Dellaporta method. Changes to the extraction buffer include the use of a higher concentration of NaCl, substitution of β-mercaptoethanol with sodium-metabisulfite, and the use of polyethylene glycol for DNA precipitation. Compared to the original method and two other protocols tested, our improved protocol resulted in the isolation of a good yield and purity of gDNA. The content of extracted DNA was spectrophotometrically evaluated, and the quality was analyzed by Amplified Fragment Length Polymorphisms (AFLP). AFLP profiles of the DNA obtained with our protocol were comparable to those of a commercial kit for plant DNA extraction. The potential of this improved method relies on its successful use with different molecular markers using gDNA extracted from fresh and frozen tissues of a variety of vascular plants, including banana in this paper, and proven in wheat, guava, sugarcane, and bean, as well as from microalgae. Therefore, the new protocol is an adequate, convenient and economical choice for use and study of various fields of genomics.
Another Useful Theorem for Non-Linear Transformations of Gaussian Random Variables

This paper presents a useful theorem for non-linear transformations of the sum of independent zero-mean Gaussian random variables. It is proved that the linear regression coefficient of the non-linear transformation output with respect to any Gaussian random variable that is part of its input, is identical to the linear regression coefficient with respect to the overall input. As a side-result, the theorem is particularly useful to simplify the computation of the partial regression coefficients not only when the input is Gaussian distributed, but also for non-linear transformations of Gaussian-Mixtures. Due to its generality, and the wide use of Gaussian and Gaussian-Mixture probability density functions to statistically model several physical phenomenon, the potential use of the theorem spans multiple disciplines and applications, including communication systems, as well as estimation and information theory.
Human Cytomegalovirus Infection of M 1 and M 2 Macrophages Triggers Inflammation and Autologous T-Cell Proliferation

Carina Bayer, Stefania Varani, Li Wang, Paul Walther, Shaoxia Zhou, Sarah Straschewski, Max Bachem, Cecilia Söderberg-Naucler, Thomas Mertens, Giada Frascaroli Institute of Virology, Ulm University Hospital, Ulm, Germany; Unit of Microbiology, Department of Specialistic, Diagnostic and Experimental Medicine, University of Bologna, Bologna, Italy; Central Electron Microscopy Facility, University of Ulm, Ulm, Germany; Department of Clinical Chemistry and Central Laboratory, Ulm University Hospital, Ulm, Germany; Department of Medicine, Karolinska Institutet, Stockholm, Sweden
The multi-slice method for the design of a tubular linear motor with a skewed reaction rail

A fundamental disadvantage of 3-dimensional finite-element simulations is high computational cost when compared to 2-dimensional models. However, for 3-dimensional specific features full models are essential, in principle. An approach to avoid this necessity is the multi-slice method. It is a well known procedure to determine the torque of electrical machines with a skewed rotor only deploying slices of the 3-dimensional full model. This paper presents the adoption of this method to a tubular linear motor and shows that it is applicable for this kind of machine as well. Furthermore, the number of slices and thereby computation time is minimised at the same accuracy of the simulation results.
Application of the law of diminishing returns to estimate maintenance requirement for amino acids and their efficiency of utilization for accretion in young chicks

SUMMARY Suitability of the monomolecular equation, specifically re-parameterized for analysing energy balance data, has recently been investigated in broilers and turkeys. In the current study, this equation was applied to literature data from growing chicks fed crystalline amino acid (AA) diets, in order to provide estimates for AA requirements for maintenance, body-weight gain and protein accretion. Non-linear regression was used with the data to estimate parameters and combine them to determine other biological indicators. The predictive ability of the model was evaluated with reference to model behaviour when fitting the data, biologically meaningful parameter estimates and statistical performance. The model estimated the maintenance requirements for valine, threonine and lysine to be in the range 80–111, 96–109 and 52–209 mg/kg of liveweight/day, respectively, depending on the response criterion. Requirements for maintenance were in good agreement with values reported previously. Average efficiency of recovering AAs in whole body protein, between maintenance and four×maintenance, was in the reported range of 0·80–1·0 and greatest at low intakes and decreasing as intakes increase.
Extremal and Probabilistic Combinatorics January 23 rd – January

09:20 – 09:30 Opening remarks 09:30 – 10:00 Dhruv Mubayi Quasirandom hypergraphs 10:05 – 10:35 Yufei Zhao Sparse regularity and counting in pseudorandom graphs 10:35 – 11:15 Coffee 11:15 – 11:45 Asaf Shapira Exact bounds for some hypergraph saturation problems 11:50 – 12:20 Po-Shen Loh Computing with voting trees 12:20 – 14:30 Lunch 14:30 – 15:00 Joel Spencer Six standard deviations still suffice 15:05 – 15:35 Wenying Gan Erdős-Rademacher problems in extremal set theory 15:35 – 16:15 Coffee 16:15 – 16:45 Eyal Lubetzky Cores of random graphs are born Hamiltonian 16:50 – 17:20 Boris Bukh Generalized Erdős-Szekeres theorem
NURBS Skinning to Scattered 3 D Points with Automatic Contour Detection

In many research and application areas such as CAD/CAM, reverse engineering, rapid prototyping and biomedical engineering, the construction of a computer surface model is an important problem. Several data acquisition and imaging techniques produce a “cloud” (set) of digitized points, which are employed to generate computer surface models. The goal is to produce the computer models that can be used to diminish cost and the time for the creation and production cycle of a variety of products. This paper presents a method for surface modeling that was developed with the aim of approximate a digital surface to a cloud of digitized 3D points. The method is intended for situations when it is necessary to acquire a complex model, as a model of a real bone, and a 3-D scanner is used. The computer model can then be processed in CAD/CAM systems for different purposes. A technique, called surface skinning, which has its basis in surface fitting through sets of points grouped in planar cross sections, is used. As it is supposed to deal with unorganized set of points, also an automatic contour detection scheme is proposed to obtain the set of artificial cross sections required for the surface skinning technique. For the sake of smoothness and continuity, NURBS – Non Uniform Rational Basis Spline surfaces, are employed in the skinning step. NURBS are a suitable choice instead of others methods, like triangulation, since it is included in many standards like IGES, PHIGS and STEP.
Passive balancing battery management system using MOSFET internal resistance as balancing resistor

Balancing process is crucial to keeping battery lifespan and protecting the battery cell in series connection. Commonly, passive balancing is widely used in BMS because cheap and simple to implement. The passive balancing used passive element (resistor) to dispose of the excess charge of battery. The use of this resistor is quite effective for small battery capacity. For large battery capacity used in EV and HEV, a big power resistor is needed so that the balancing time of the battery is faster. With a large power resistor for each battery cell will result in BMS hardware becomes large. In this paper was designed a passive balancing BMS that combines the power resistor and MOSFET internal resistance as a balancing resistor. The use of MOSFET internal resistance will save space on BMS hardware compared with power resistor with greater balancing current capability. The proposed method was applied to 1P15S battery pack consisting of 15 cells LiFePO4 battery with a capacity of 200 Ah. The preliminary experimental result shows that using internal resistance of the MOSFET as a balancing resistor was feasible and effectively done. The balancing current of the battery is determined by the internal resistance value of the MOSFET.
Maternal Functioning and Child's Externalizing Problems: Temperament and Sex-Based Driven Effects

This study examines how maternal adverse parenting (hostility, neglect, low warmth) and psychological distress explain the associations between child temperament factors and externalizing problems. It also examines if these associations differ according to the child's biological sex. The sample consists of 339 school-age children receiving in-school services for conduct problems. Data were collected through questionnaires completed by mothers at 3 time points, at one-year intervals. Results from path analyses revealed that maternal psychological distress partly explained the associations between each child temperamental factors (negative affectivity, surgency/extraversion, effortful control) and levels of externalizing problems. Specifically, the indirect effect of psychological distress between child negative affectivity and externalizing problems was only significant for boys, not girls. Maternal hostility, on the other hand, mediated the association between child surgency/extraversion and externalizing problems in both boys and girls. Interestingly, neglectful parenting and maternal warmth did not explain the association between child temperamental factors and externalizing problems. The findings suggest small but significant temperament child-driven effects on maternal psychological distress and hostility, in turn, translating into higher levels of externalizing problems. These findings support the relevance of temperament-based interventions for children with conduct problems and of increased mental health support for their mothers. By aiding mothers in developing a larger repertoire of parenting strategies, mothers may be better equipped to respond appropriately to their child's various temperamental characteristics, hence, reducing their psychological distress and hostile behaviors and limiting the development of child externalizing problems.
Evaluation of USG Guided Transversus Abdominis Plane Block for Post-Operative Analgesia in Total Abdominal Hysterectomy Surgeries

Introduction and aims: Transversus abdominis plane (TAP) block is a fascial plane block providing postoperative analgesia in patients undergoing surgery with infraumbilical incision. This single blind prospective randomised control study aimed to evaluate the effectiveness of the TAP block for postoperative pain, as part of a multimodal analgesic regimen in patients undergoing TAH. Material and methods: Sixty adult female patients undergoing Total Abdominal Hysterectomy (TAH) under general anaesthesia were randomized to undergo TAP block with Ropivacaine along with intravenous paracetamol and diclofenac in group I (n=30) verses group II (n=30) with intravenous paracetamol and diclofenac alone. All patients were given inj. paracetomol 1 gm infusion and inj. diclofenac 75 mg intravenously along with induction of anaesthesia. Group I patients additionally received ultrasound guided TAP Block bilaterally with Ropivacaine (0.25%) (25 ml on either side). Each patient was accessed separately by blinded observer at regular interval up to 24 h for visual analogue scale (VAS), analgesic requirement, PONV and sedation using Ramsay sedation scale. If patients complained of pain or VAS>3, inj. Morphine 0.1 mg/kg was given. The observation in two groups was compared statistically using chi-square test and Paired t-test and analysed by SPSS version 18 software. Result: Result showed that the mean visual analogue score (VAS) of group1 was statistically less than group 2 (P<0.001). Mean analgesic requirement in mg for first 24 h postoperatively was significantly less in group 1 (5.40 ± 3.701) than group 2 (9.40 ± 3.856) Conclusion: TAP Block is easy to perform under ultrasound guidance without complication and it provides effective analgesia. TAP Block holds well as a part of multimodal analgesia regimen for patients undergoing Total Abdominal Hysterectomy.
Study on spatial-temporal variations of PM25 concentrations in the Beijing-Tianjin-Hebei and northeastern three provinces of China

Three decades of rapid economic development is causing severe and widespread PM<inf>25</inf> pollution in China, which hindered China's sustainable development. Master the spatiotemporal change process of the PM<inf>2</inf>. <inf>5</inf> concentration is the foundation of controlling air pollutant emissions and improving the atmospheric environment and industrial restructuring. The lack of long-term historical monitoring data hinders PM<inf>25</inf> related research. Therefore, the following data as the base data, including the ground observations PM<inf>2</inf>. <inf>5</inf> concentration from 2013 to 2016 and MODIS Satellites observe atmospheric optical depth (AOD), boundary height, relative humidity, temperature, wind speed, wind direction from 2000 to 2016 in the four typical regions of Beijing-Tianjin-Hebei(BTH) region, The northeastern three provinces of China (NTPC), Yangtze River Delta and Pearl River Delta, China. A combined forecasting model was constructed by combining the two algorithms of backward artificial neural network (BPANN) and support vector regression (ε-SVR) and realizes the scene reproduction of the historical changes of the PM<inf>2</inf>. <inf>5</inf> concentration from 2000 to 2012 using geospatial analysis technology. The results show that the combination model is better than the single model, with lower error and higher generalization ability. The results of spatial-temporal analysis show that the concentration of PM<inf>2</inf>. <inf>5</inf> in BTH and NTPC increased by 2. 87μg/m<sup>3</sup> and 0. 104μg/m<sup>3</sup> respectively, and the pollution range of PM<inf>2</inf>. <inf>5</inf> gradually expanded. In 2012, the concentration of PM<inf>2</inf>. <inf>5</inf> decreased, the pollution range narrowed compared with previous years. PM<inf>2</inf>. <inf>5</inf> concentration rose slightly after the decline, high pollution range has been reduced in BTH and NTPC during 2013–2016, which with the country to take PM<inf>2</inf>. <inf>5</inf> regional defense and other governance measures.
A machine Learning approach for sentiment analysis in the standard or dialectal Arabic Facebook comments

Social networks like Facebook contain an enormous amount of data, called Big Data. Extracting valuable information and trends from these data allows a better understanding and decision-making. In general, there are two categories of approaches to address this problem: Machine Learning approaches and lexicon based approaches. This work deals with the sentiment analysis for Facebook's comments written and shared in Arabic language (Modern Standard or Dialectal) from a Machine Learning perspective. The process starts by collecting and preparing the Arabic Facebook comments. Then, several combinations of extraction (n-grams) and weighting schemes (TF / TF-IDF) for features construction are conducted to ensure the highest performance of the developed classification models. In addition, to reduce the dimensionality and improve the classification performance, a features selection method is applied. Three supervised classification algorithms have been used: Naive Bayes, Random Forests and Support Vectors Machines using R software. Our Machine Learning approach using sentiment analysis was implemented with the purpose of analyzing the Facebook comments, written in Modern Standard Arabic or in Moroccan Dialectal Arabic, on the Morocco's Legislative Elections of 2016. The results obtained are promising and encourage us to continue working on this subject.
Kohonen Networks for Offline Signature Verification

A signature verification system is of two types: Offline and Online. Its main application is in detecting fraud in banks and other organizations. Several approaches are designed till date and all approaches have their own advantages and drawbacks. We have designed our offline signature verification system using Kohonen neural networks. Kohonen networks a type of self-organizing maps are widely used in handwriting recognition systems. This research work makes use of their competitive learning power to quantify the intra-variability of the individual’s signatures. Further paper shows some of the major results achieved in the last few years in the field of off-line signature verification. Based on various research papers a comparison is drawn using important factorsFAR, FRR and ERR. Keyword: Kohonen Networks, Offline Signature Verification.
Factores de riesgo y patologías neurodegenerativas: enfermedad de Alzheimer y degeneración macular asociada a la edad

Objectives: We analysed different risk factors involved in the onset of both Alzheimer’s disease (AD) and age-related macular degeneration (ARMD). The putative relation between both disorders was studied. Methods: We studied 57 subjects to determine the correlation between AD and ARMD. Thirty-three of the subjects suffered dementia (cases), whereas 24 of them (controls) did not. Firstly, anamnesis was performed for all individuals. We then examined the macular area of the eye using a non-midriatic TRV-50VT fundus camera. Significant odds ratio (OR) results were used as a statistical tool to survey the putative link between AD and ARMD. Results: The OR test results showed that ARMD was associated with Alzheimer’s disease. The occurrence of ARMD was significantly higher for cases (42.4%) than for controls (25%). On this basis, we inferred a cause-effect relation linking both variables. Our dataset suggested that the control group was more protected against ARMD than the case group, as revealed by Fisher’s exact test (P = 0.649). ARTICLE
Minimization of fading effect through novel method of beamforming for NGN wireless systems

This paper describes a novel multipath fading effect minimization technique through a novel method of Beamforming algorithm. RMS Delay Spread (RDS) of a channel is highly dependent on beamwidth of deployed antenna systems. Deep fade, which is a bottle neck for high speed wireless networks, causes larger RDS and higher bit error rate (BER). A frequency flat fading channel can trasmit data with smaller RDS and higher bit rate. RDS is reduced if the beamwidth of deployed antenna system becomes narrower. Binomial array and Dolph-Chebyshev array are popular methods of array antenna beamforing, though each of these methods has its own technical limitations. The method of Beamforming described in the paper is technically better which uses a novel concept of Fractional-Powered Binomial coefficients. The method performs better than Binomial and Dolph-Chebyshev array. Superiority of the described method is validated through simulations of realistic antennas and technical analysis of RDS.