Miracle-dz/UniFAR-FTUs huggingface dataset:
When being present is not enough : a study on the influence of companies´ Facebook activities on negative user-generated inputs and response strategies.

This study revolves around the influence of companies´ Facebook activity level on their response strategies to negative user-generated inputs. Although in the past, researchers found that the internet increases a company´s crisis potential newer research advised companies to promote an active social presence when using social media. Social media were also discovered to be a useful tool in times of organizational crises and for crisis communication due to their unique channel characteristics. However, neither the differences in companies’ activities were discovered nor the ways different levels of activity influence the occurrence of negative user-generated input and crisis communication. To shed light on the influence of the level of activity of companies on Facebook on the crisis response strategy to negative user-generated input a content-analysis including qualitative and quantitative variables was performed on 44 German Facebook brand profiles over a four-week period. The findings suggest that a company´s level of activity is defined by the amount of information-sharing and interactivity with the users. Only companies with a high level of activity made frequent use of interactivity. Interactivity in turn was found to be a strong predictor for the number of negative user-generated input on a profile which made high active profiles more susceptible to criticism. Reversely interactivity in the high activity group also correlated with the number of fans and fan activity as a more favorable outcome for companies. It was found that the response strategies to negative input differed based on the companies´ level of activity and depending on the nature of criticism (product, service, general business). The study revealed that in more that 50% of the cases the response to product- and service-related criticism included redirecting users to another channel (e-mail, phone) whereas 90% of the general-business-related criticism was ignored. The findings imply that companies need to strategically address their level of activity based on the goal of their social media presence. It seems that social media may not be a very suitable channel to respond to certain complaints.
ANALISIS KELAYAKAN FINANSIAL USAHA PETERNAKAN SAPI POTONG

Penelitian ini dilaksanakan di Desa Tebing Tinggi dan Desa Pematang Panjang Kecamatan Tanah Sepenggal Lintas Kabupaten Bungo. Penelitian ini dilaksanakan pada tanggal 06 Mei 2018 sampai dengan tanggal 28 Mei 2018. Penelitian ini bertujuan menganalisa pendapatan dan kelayakan usaha peternakan sapi potong ditinjau dari aspek finansial melalui perhitungan Benefit Cost Ratio (BCR) dan Return Of Investmen (ROI). Penelitian ini dilakukan dengan metode survei dengan cara pengamatan dan wawanca langsung. Pengambilan peternak sebagai responden penelitian yaitu secara Purposive Sampling, responden yang diambil 15 KK di Desa Tebing Tinggi dan 15 KK di Desa Pematang Panjang. Lokasi ini dipilih dikarenakan desa ini merupakan salah satu sentral peternakan sapi diwilayah Kecamatan Tanah Sepenggal Lintas Kabupaten Bungo. Data di analisis dengan menggunakan model analisis pendapatan dan analisis kelayakan finansial. Kemudian data ditabulasi dan diolah secara matematis, melalui penjumlahan, rataan dan persentase kemudian diuraikan secara deskriptif.Hasil penelitian ini menunjukkan bahwa pendapatan/thn di Desa Tebing Tinggi dan Desa Pematang Panjang Kecamatan Tanah Sepenggal Lintas Kabupaten Bungo sebesar Rp.174. 461.000 atau pendapatan/bln Rp.14. 538.417 atau pendapatan/bln/peternak sebesar Rp.484. 614.Berdasarkan kelayakan usaha peternakan sapi potong di Desa Tebing Tinggi dan Desa Pematang Panjang Kecamatan Tanah Sepenggal Lintas Kabupaten Bungo layak dikembangkan secara finansial dikarenakan nilai BCR > 1 yaitu sebesar 1,24 dan nilai ROI sebesar 27,30% artinya nilai ROI > suku bunga bank yaitu sebesar 6,30%.
Application of Word Net for Text Analysis in Different Domains

The following paper examines and illustrates various problems which occur in the field of Natural Language Processing. The solutions used in these papers use Word Net in one way or the other to enhance or improve the efficiency of the projects.Word Net can therefore be viewed as a combination and an augmentation of a word reference and a thesaurus. While it can be used by developers and programmers via a web browser, its prime use is in automatic text analysis and applications based on AI.
Fault diagnosis of an air-handling unit using artificial neural networks

The objective of this study is to describe the application of artificial neural networks to the problem of fault diagnosis in an air-handling unit. Initially, residuals of system variables that can be used to quantify the dominant symptoms of fault modes of operation are selected. Idealized steady-state patterns of the residuals are then defined for each fault mode of operation. The steady-state relationship between the dominant symptoms and the faults is learned by an artificial neural network using the backpropagation algorithm. The trained neural network is applied to experimental data for various faults and successfully identifies each fault.
Comparative performance and energy metabolism of Jerseys and Friesians in early-mid lactation

In the first of 2 expriments, the milk production, food conversion efficiency, and grazing uniformity of Friesians and Jerseys were compared during a grazing trial of 21 d duration in mid lactation. Four groups of each breed, consisting of 12 cows per group, were offered pasture allowances of 10,20,30 or 40 kg dry matter (DM)/cow/d. In experiment 2, the energy metabolism of 6 Jerseys and 6 Friesians was compared by means of open circuit calorimetry. Energy balances were established for each cow when offered pasture at ad libitum, and at 75% National Research Council (NRC) requirements. In Experiment 1, on average Friesians produced 26% more milk, 6% more milkfat, 13% more protein and 24% more lactose. At the lowest level of feeding (10 kg DM allowance/cow/d) Friesians produced more milk but less milkfat and protein than the Jerseys. Friesians consumed more pasture dry matter (av 13%), lost more live weight and had a lower food conversion efftciency (61 v 67 g milkfat/kg DM consumed) than the Jerseys. It was calculated that milkfat per ha, at a common live weight was lower for the Friesians than Jerseys particularly at high rates of stocking. Partitioning of gross energy into digestible energy or metabolisabls energy was not significantly affected by breed in Experiment 2, but the efftciency of utilisation of metabolisable energy for milk and tissue (balance energy) was higher for Jerseys than Friesians (0.58 v 0.48 respectively). The results suggest that in mid lactation Friesians produce more milk and milk solids per cow than do Jerseys because of the greater feed intake of Friesians. In contrast, the higher food conversion efficiency, utilisation of metabolisable energy and dry matter consumption per unit live weight of Jerseys allows them to achieve a higher production per hectare than the Friesians. Comparisons between breeds at other stages of lactation is warranted, particularly in light of current discussions about the system of payment for milk.
REGIONAL GROSS DOMESTIC PRODUCT PREDICTION USING TWITTER DEEP LEARNING REPRESENTATIONS

This work presents a method to predict the regional Gross Domestic Product (GDP) using the textual information stored in tweets. In particular, we propose the use of a hybrid autoencoder to predict the GDP of the Valencian Community (Spain) using the tweets written by the most influential economists, politicians, newspapers, and institutions in the region. The proposed method uses an autoencoder that is trained to simultaneously minimize the reconstruction error of the textual information of tweets along with their corresponding GDP value. In this way, we ensure that the latent space of the autoencoder represents the important characteristics of tweets that relate them to the GDP. This system allows to obtain a representation of new tweets that is related to a GDP prediction and also to analyze them to create clusters that represent the agreement or disagreement of the opinions. The results show that the proposed approach captures the GDP growth trend with a small margin of error. This method was also compared with other methods from the state of the art showing a better result in prediction accuracy.
The Persistent Effects of Decreasing Labor-Market Discrimination*

Racial disparities in labor markets are pervasive. We study a time period, the 1940s, featuring persistent labor-market improvements for Black workers, which we trace to the WWII production effort. Government war contracts not only increased demand for labor, generating labor shortages, but also barred racial discrimination in hiring. This combination led to increased hiring of Black workers into skilled positions, thereby raising their wages through at least 1970, long after the war contracts and requirement of non-discrimination had ended. This persistence is due to a decline in discrimination, manifested in part through union integration. The effects of WWII production transmit to the next generation, as evidenced by the higher HS completion rates of Black children, suggesting that labor-market interventions that reduce discrimination can increase rates of mobility among Black families. *Anna Aizer, Brown University (aizer@brown.edu); Ryan Boone, UCLA (ryanfboone@gmail.com); Adriana Lleras-Muney, UCLA (allerasmuney@gmail.com); Jonathan Vogel, UCLA (jonathan.e.vogel@gmail.com). We are very grateful to seminar participants from the California Center for Population Research (CCPR) at UCLA, Bonn University, University of Chicago, Emory University, the Minneapolis Federal Reserve, MIT, Norwegian School of Economics, University of Pittsburgh, Stanford University, Vanderbilt University, and Williams College. Claudia Goldin generously shared her education data and Nicole Gorton provided outstanding research assistance. This project was supported by the CCPR at UCLA, which receives core support (P2CHD041022) from the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD).
What is the Potential Impact of Using Mobile Devices in Education

Mobile devices are becoming ubiquitous in the world today. With the power of portable computing in the hands of everyone and anyone, the time has come to consider using mobile devices for education. While ICT in education has been trialled, results have been mixed. Mobile devices are also ICT devices, so why should we still consider using mobile devices in education and what is its potential impact on the stakeholders. This paper provides an overview of what is out there and explores the opportunities and issues in regards to using mobile devices in education. Next we look at how the stakeholders in the education system, namely the education providers, the teachers, the students, their parents, and the ministry of education can benefit by successfully deploying classroom curriculum via mobile devices. Many stakeholders in the education system are already struggling to deliver basic education – what is required of them and how they should be supported if we are to convince them to use mobile devices in delivering education.
Discrete models of fabric accounting for yarn interactions

Discrete models of fabric have been elaborated at both macroscopic and mesoscopic scales, whereby nodes endowed with a mass and a rotational rigidity are mutually connected by extensible bars to form a two-dimensional trellis. At the macroscopic scale, the equilibrium shape of the structure is obtained as the minimum of its total potential energy versus the kinematic translational and rotational variables. Draping simulations are performed for fabric sheets lying on a fixed rigid surface. In the second part of the paper, a mesoscopic model of fabric is elaborated ; thereby, the undulations of the yarns are explicitly described within the unit cell, using a Fourier series development to represent the shape of each yarn. This methodology is applied to get the response of a set of intertwined yarns under biaxial loading, accounting for the contact reaction forces exerted by the transverse yarns.
The Spam-Filtering Accuracy Plateau at 99.9 percent Accuracy and How to Get Past It

Bayesian filters have now become the standard for spam filtering; unfortunately most Bayesian filters seem to reach a plateau of accuracy at 99.9 percent. We experimentally compare the training methods TEFT, TOE, and TUNE, as well as pure Bayesian, token-bag, token-sequence, SBPH, and Markovian ddiscriminators. The results deomonstrate that TUNE is indeed best for training, but computationally exorbitant, and that Markovian discrimination is considerably more accurate than Bayesian, but not sufficient to reach four-nines accuracy, and that other techniques such as inoculation are needed.
Characteristics of Police-reported road traffic crashes in Ethiopia over a six year period

Ethiopia has one of Africa’s fastest growing non-oil producing economies and an increasing level of motorisation (AfDB, OECD, UNDP, & UNECA, 2012). This rapidly increasing mobility has created some unique road safety concerns; however there is scant published information and related commentary (United Nations Economic Commission for Africa, 2009). The objective of this paper is to quantify police-reported traffic crashes in Ethiopia and characterise the existing state of road safety. Six years (July 2005 - June 2011) of police-reported crash data were analysed, consisting of 12,140 fatal and 29,454 injury crashes on the country’s road network. The 12,140 fatal crashes involved 1,070 drivers, 5,702 passengers, and 7,770 pedestrians, totalling 14,542 fatalities, an average of 1.2 road user fatalities per crash. An important and glaring trend that emerges is that more than half of the fatalities in Ethiopia involve pedestrians. The majority of the crashes occur during daytime hours, involve males, and involve persons in the 18-50 age group—Ethiopia’s active workforce. Crashes frequently occur in mid blocks or roadways. The predominant collision between motor vehicles and pedestrians was a rollover on a road tangent section. Failing to observe the priority of pedestrians and speeding were the major causes of crashes attributed by police. Trucks and minibus taxis were involved in the majority of crashes, while automobiles (small vehicles) were less involved in crashes relative to other vehicle types, partially because small vehicles tend to be driven fewer kilometres per annum. These data illustrate and justify a high priority to identify and implement effective programs, policies, and countermeasures focused on reducing pedestrian crashes.
Subjective appraisal of loudspeaker directivity for multichannel reproduction : On the loudspeaker directivity considerations for 5.1-channel audio-visual reproduction: A subjective appraisal

A group of subjective experiments considering the loudspeaker directivity characteristics for five-channel audiovisual reproduction was examined. A large number of tests were performed with a screened and trained listening panel. The effects of listening position, loudspeaker directivity, and program were examined. Frontal and surround loudspeaker directivity characteristics were considered separately. Certain findings suggest that de facto standard approaches may not be optimal in terms of loudspeaker directivity.
Battle Staff Integration

Abstract : This paper sets forth a research-based conceptual framework for understanding and addressing battle staff functioning and its relation to the effectiveness of combat organizations. It also develops a concept for maintaining battle staff structure and function under the heavy stress of combat. Together, the melding of structure and function and the notion of functional competence constitute the area of Battle Staff Integration. This paper offers practitioners (military leaders, trainers, and performance analysts) guidance for developing and directing effective battle staffs. The dynamic structure and functioning of military organizations are discussed and the roles of battle staffs are analyzed. An historical and analytical review of organizational theories and concepts is included, and the concept of team work and the characteristics of effective teams are discussed. A conceptual framework is presented for teamwork in problem-solving and decision-making activities within hierarchical organizations.
Design and Validation of a Gun Barrel Vibration Absorber.

Abstract : This paper presents an applied method for the optimal design of passive vibration absorbers to reduce terrain induced vibrations of tank cannons. The method uses a finite element model of the cannon. The design is optimized by assigning a scalar cost function to the frequency response of the modified barrel. The results indicate that the peak amplitude of the frequency response of a 1,500 Kg barrel may be cut in half by an appropriately tuned 20 Kg absorber. Experimental validation of the results using modal impact testing are shown.
Combining the Analysis of Vertical and Horizontal Technology Convergence: Insights From the Case of Urban Innovation

Technology convergence is “the blurring of boundaries” between many sectors of technologies, resulting in the emergence of several new technologies. This phenomenon has been happening in many fields. While technology convergence has been analyzed often on a horizontal level, the whole landscape of technology movement among and within different system levels is still a question. Answers to this question can lead to an improvement of theory as well as new approaches for practitioners working in this field. We select urban innovation with its complex infrastructure as a test-bed in order to answer the question in a case study. We apply the Cooperative Patent Classification co-classification analysis to the USA patent data related to urban innovation in a systematic view from 1976 to 2018. Our study provides some insights into technology convergence in urban innovation based on the analysis of different system levels (vertical convergence) and within the super-system regarding city infrastructures (horizontal convergence). We find that both types of technology convergence occur in parallel. While some technological movements seem to be related to each other, others do not. This leads to the conclusion that at least in the case of related technology movements, researchers should integrate different system levels in their analysis.
DETERMINISTIC FACTORS OF OVERALL BALL CONTACT HEIGHT DURING HIGH-OUTSIDE FRONT-ROW VOLLEYBALL ATTACKS

The purpose of this study was to quantify the deterministic factors of overall ball contact height among elite level volleyball attackers. Thirty-two trials collected from nine members of the 1999 USA National A2 Team were subjected to 3D analysis. Results demonstrated that takeoff height (CM height at takeoff) and reach height (vertical distance between the hand and CM at contact) accounted for 86.7% of the overall ball contact height. Flight height (in-flight CM elevation) accounted for only 14% of overall height. Reach height was the only meaningful sUb-height that was significantly correlated with overall ball contact height (r=O.70) and appeared to be most sensitive to technique-related differences in performance. Horizontal approach speeds used by the athletes in this study were relatively slow (3.4±O.3 m·s-1) but were positively correlated with flight height (r=O.60).
Energy efficiency optimization in wireless networks

The main objective of the thesis was to establish a framework for energy-efficient communication by defining and justifying novel energy-efficiency metrics for various wireless systems and settings. In general, the energy-efficiency is defined as the ratio of the total data rate to the total power consumed at the transmitter. This definition implies that, when re-transmission is allowed (in the case of outage), maximizing energy-efficiency can directly lead to minimizing the energy spent in transmitting a unit of information. This work develops a framework for energy-efficiency for the general cases of power control in the physical layer with MIMO and cross-layer with a sporadic packet arrival. Both centralized and decentralized algorithms for achieving an energy-efficient working point for the systems under consideration were proposed. The results highlight the trade-off between power consumption and date rates in energy efficient wireless networks.
Ethical Issues Raised for Public Health and Socio-Behavioral Research Focused on Containment of the COVID-19 Pandemic

In response to a global public health emergency, it is critical to focus ethical considerations in public health and socio-behavioral research proposals concerning COVID-19 containment. A desk-based review during October 2020 analyzed two mixed methods studies and three quantitative observational studies submitted to the Institutional Review Board (IRB) of which one study emphasized the Case Report Forms (CRFs) and the rest were online surveys. Main tools intended for primary data collection in the submitted research proposals covered the google forms, Facebook messenger, and mobile phones to access the general public, healthcare providers, and civil society organizations. The waiver of the documented ‘Informed Consent' to decide for filling the online google forms, intensive pretesting and data collector training for interviews via digital platforms, and data security issues were priority ethical concerns addressed during the IRB appraisal in addition to preserve anonymity in retrieving and reporting the findings in CRF. The virtual dissemination plan is acceptable during the pandemic. A regional networking scheme of IRBs could foster ways to deal with ethical dilemmas during the public health emergency especially when using the internet and other digital platforms for data collection.