Miracle-dz/UniFAR-FTUs huggingface dataset:
Complete Genome Sequence of Brucella canis Strain HSK A52141, Isolated from the Blood of an Infected Dog

ABSTRACT Brucella canis infection can be clinically inapparent in dogs, and when infection goes unnoticed, there is a chance for dog-to-human transmission. A new strain of B. canis was isolated from the blood of an infected dog in order to analyze the pathogenic mechanism, compare genetic properties, and develop new genetic tools for early diagnosis of canine brucellosis. Herein, we report the complete genome sequence of the strain B. canis HSK A52141. This is the second complete genome sequence and biological annotation available for a member of B. canis.
Transformational Leadership Style as a Predictor of Crisis Management Skill: A Study on Correctional Officers of

Leadership is essential for managing critical situation of every organization. Law enforcement professionals face different types of organizational crises. Thus correctional organizations are in need of effective leadership style for handling such crisesconditions. Transformational leadership is an effective leadership style which helps to accumulate the support to meet the changing demands of society and share positive vision of the future and can turn crisis into opportunity. In this regard, the present study aimed to investigate the role of transformational leadership style on crisis management skills of correctional officers of correctional organizations of West Bengal. The study also aimed to find out the nature of transformational leadership style with respect to the age and rank position of the correctional officers of West Bengal. For this purpose data were gathered from randomly selected 100 correctional officers of West Bengal by using three tools - i) general informational schedule, ii) adapted version (Sarkar and Ray, 2015) of transformational leadership questionnaire(M. Sashkin, 1997) and iii) Crisis Management Skills Questionnaire by Majumdar and Ray (2009). Responses were treated qualitatively and quantitatively (mean, standard deviation, correlational analysis and regression analysis) as per requirement. The data based facts highlighted that nature of transformational leadership style varied with respect to the age and rank position of the correctional officers. The study found that there was a significant relationship between transformational leadership style and crisis management skills of correctional officers of West Bengal. It also recommended that transformational leadership style is a predictor of the crisis management skills of correctional officers.
Worldwide air transportation networks: a matter of scale and fractality?

ABSTRACT In this study, we take a new view on air transportation networks, inspired by the physical concept of fractality. While other studies analyze networks individually, we aim to provide a unified understanding of the transitions among network layers. As a case study, we investigate the worldwide air transportation networks for the year 2015. We derive aggregated network instances at six different levels: airports, cities, spatial distance 100 km, spatial distance 200 km, regional network, and country network. While few nodes are important at all levels of aggregation, others only become important for few aggregation levels. Fractality analysis highlights that, as one moves from finer granularity to more coarse aggregation level, the network becomes denser but with fluctuating assortativity patterns; and that the modularity and the number of communities both decrease slightly. Networks at higher aggregation levels are more robust than the fine-grained counterparts, airport and city networks.
Phase I trial of twice-weekly gemcitabine and concurrent radiation in patients with advanced pancreatic cancer.

PURPOSE To determine the maximum-tolerated dose, dose-limiting toxicities, and potential antitumor activity of twice-weekly gemcitabine and concurrent radiation in patients with locally advanced pancreatic cancer. PATIENTS AND METHODS Nineteen patients with histologically confirmed adenocarcinoma of the pancreas were studied at the Wake Forest University Baptist Medical Center and the University of North Carolina at Chapel Hill. The initial dose of gemcitabine was 20 mg/m(2) by 30-minute intravenous infusion each Monday and Thursday for 5 weeks concurrent with 50.4 Gy of radiation to the pancreas. Gemcitabine doses were escalated in 20-mg/m(2) increments in successive cohorts of three to six additional patients until dose-limiting toxicity was observed. RESULTS The dose-limiting toxicities at 60 mg/m(2) given twice-weekly were nausea/vomiting, neutropenia, and thrombocytopenia. Twice-weekly gemcitabine at a 40-mg/m(2) dose was well tolerated. Of the eight patients eligible for a minimum follow-up of 12 months, three remain alive, one of whom has no evidence of disease progression. CONCLUSION A dose of twice-weekly gemcitabine at 40 mg/m(2) produced mild thrombocytopenia, neutropenia, nausea, and vomiting when delivered with concurrent radiation to the upper abdomen in patients with advanced pancreatic cancer. These data suggest this regimen is well tolerated and may possess significant activity. These data and other observations have resulted in a phase II Cancer and Leukemia Group B study to ascertain the efficacy of this treatment regimen in patients with locally advanced pancreatic cancer.
A multi sender attribute-based broadcast authentication scheme

Multi sender attribute-based broadcast authentication scheme for the network containing resource constrained nodes is the main focus of this research. In this paper, we proposed a framework in which each element of a set of authorized users whose attributes satisfy a special sign control policy can generate a valid signature. In this framework, there exists a trusted server who receives and verifies the validity of the generated attribute-based signatures and broadcast the intended message through the nodes of the network in an efficient and authenticated manner. We also proposed a new symmetric-based broadcast authentication scheme which is used for broadcasting the authenticated messages in the proposed framework.
2x2 Individual Channel Design MATLAB&#174;Toolbox

In this paper a novel software for analysis and design of multivariable 2x2 control systems is presented. The 2x2 Individual Channel Design MATLAB®Toolbox is a valuable aid for analysing and designing multivariable control systems under the framework of the Multivariable Structure Function (MSF) and Individual Channel Design (ICD). Given a set of specifications for a 2-input 2-output multivariable control system the appropriate use of the toolbox can lead to successful and robust controllers. The process is based on an iterative procedure. Closed loop simulations (in SIMULINK®) are included so results can be tested. Final stability margins and robustness measures are also assessed. A design example is included for completeness. The development of the general m x m case is in progress.
Varieties of Middle Class Growth and Democratic Preference Formation

Under what conditions does growth of the middle class increase popular pressure on regimes to democratize? Though scholars have often viewed the middle class as an agent of economic growth and democratization, little systematic research examines middle class attitudes toward democracy in contemporary autocratic regimes. This dissertation studies how autocracies secure support from growing middle classes, using state patronage to shape political preferences and divide potential democratic coalitions. Drawing lessons from postcommunist countries, I focus on the micro-level mechanisms that affect bottom-up demand for democracy and show why middle class growth is frequently not accompanied by political liberalization. Under autocracy, the state often provides key avenues of mobility into the middle class. I argue that such state-led growth weakens middle class support for democratization. I connect the political loyalty of the middle classes to the power of authoritarian states to bestow or withhold benefits, in particular through public sector employment; and to individuals’ alternatives to state selective incentives. I test this argument using quantitative analysis of surveys and qualitative evidence from extended fieldwork in the region. In an analysis of cross-national survey data from 27 post-communist countries, I show that, under autocracy, state careers weaken support for democracy, especially among the middle class. Through a study of mobilized contention in Russia, using surveys of protesters and a novel case-control design, I demonstrate the theory’s applicability to consequential collective action. Then with panel data, I investigate the relationship between social mobility, democratic preferences, and party support in Ukraine,
Utilizing a Meals on Wheels Program to Teach Falls Risk Assessment to Medical Students

Falls are a critical public health issue for older adults, and falls risk assessment is an expected competency for medical students. The aim of this study was to design an innovative method to teach falls risk assessment using community-based resources and limited geriatrics faculty. The authors developed a Fall Prevention Program through a partnership with Meals-on-Wheels (MOW). A 3rd-year medical student accompanies a MOW client services associate to a client’s home and performs a falls risk assessment including history of falls, fear of falling, medication review, visual acuity, a Get Up and Go test, a Mini-Cog, and a home safety evaluation, reviewed in a small group session with a faculty member. During the 2010 academic year, 110 students completed the in-home falls risk assessment, rating it highly. One year later, 63 students voluntarily completed a retrospective pre/postsurvey, and the proportion of students reporting moderate to very high confidence in performing falls risk assessments increased from 30.6% to 87.3% (p < .001). Students also reported using most of the skills learned in subsequent clerkships. A single educational intervention in the MOW program effectively addressed geriatrics competencies with minimal faculty effort and could be adopted by many medical schools.
Measuring the Efficiency of Public Health Services by DEA

Efficiency is one of the most important principles in public health services due to the strive for rationality and, at the same time, the need to strengthen quality. The aim of this research is to explore and analyse the suitability of DEA to measure the efficiency of a range of different services offered by institutes of public health in Croatia. DEA is a technique that is used to measure relative efficiency. It is traditionally used for non profit organizations. This technique has so far mostly been used in assessing solely the efficiency of hospitals and not other public health preventive services. For that reason, the objective of this study is to identify units within one department of public health services that are relatively inefficient and to set targets for them based on the activities of units classified as efficient. We used data for 12 units (DMUs) for the period of two years, defining common inputs and outputs. The results obtained show projections of efficient and inefficient DMUs, projection of inefficient units at efficient frontier allows comparison between most similar units by efficiency and provides information on controllable inputs and outputs. This research has proven that relative efficiency obtained with DEA can be a useful tool in assessing efficiency of public health services on level of one institution and could support management decision-making process.
Real-time signal processing of accelerometer data for wearable medical patient monitoring devices

Elderly and other people who live at home but required some physical assistance to do so are often more susceptible injury causing falls in and around their place of residence. In the event that a fall does occur, as a direct result of a previous medical condition or the fall itself, these people are typically less likely to be able to seek timely medical help without assistance. The goal of this research is to develop a wearable sensor device that uses an accelerometer for monitoring the movement of the person to detect falls after they have occurred in order to enable timely medical assistance. The data coming from the accelerometer is processed in real-time in the device and sent to a remote monitoring station where operators can attempt to make contact with the person and/or notify medical personnel of the situation. The ADXL330 accelerometer is contained within a Nintendo WiiMote controller, which forms the basis of the wearable medical sensor. The accelerometer data can then be sent via Bluetooth connection and processed by a local gateway processor. If a fall is detected, the gateway will then contact a remote monitoring station, on a cellular network, for example, via satellite, and/or through a hardwired phone or Internet connection. To detect the occurrence of ta fall, the accelerometer data is passed through a matched filter and the data is compared to benchmark analysis data that will define the conditions that represents the occurrence of a fall.
Adaptive Time-Sharing and Power Allocation for Cognitive Radio Fading Broadcast Channels

In this contribution, we address the resource allocation problem in cognitive radio (CR) broadcast channels (BC) when the radio resources are shared between the primary user of the spectrum band and the CR-BC secondary network. Specifically, we propose utilizing spectrum sensing information about the primary's activity at the secondary base station for an efficient allocation of the resources, namely, transmission time and power, to the secondary users. For this purpose, we assume that the spectrum sensing information, obtained using spectrum-aware sensors deployed in the secondary transmission range, and secondary channel side information, are available at the CR-BC secondary transmitter and receivers. Based on this information, we obtain an optimal time and power allocation policy to maximize the achievable capacity of fading cognitive radio broadcast channels, where the spectrum-sharing requirements are specified by appropriate constraints on the average received-interference at the primary receiver and on the peak transmit-power of the secondary base station. Finally, we sustain our theoretical results by numerical and simulation analysis.
Longitudinal nonresponse in the Current Population Survey (CPS)

A longitudinal database was created consisting of seven complete "cohorts" who were in the CPS sample all eight months over nearly a 2 year period. Comparisons were made among complete respondents und partial respondents. Households that were complete respondents were relatively more likely than households that were partial respondents-to be located in rural areas und in any region.of the country except the West, und to have more persons living there, und to be occupied by owners. Members of complete respondent households were relatively more likely than members of partial respondent households to be a married couple, children, white, non-Hispanic, over 65 years of age, und were relatively more likely to answer a question on total family income. Persons in partial respondent households had a higher level of employment in the first four months-in-sample (MIS) und a higher unemployment rate in MIS I than persons in complete respondent households.
The in Vivo TRPV6 Protein Starts at a Non-AUG Triplet, Decoded as Methionine, Upstream of Canonical Initiation at AUG*

Background: The TRPV6 amino acid sequence is predicted from its cDNA. Results: The TRPV6 protein purified from human tissues has an extended N terminus not present in the predicted protein. Conclusion: Full-length TRPV6 is trafficked to the plasma membrane, and its translation efficiency tightly controls TRPV6-mediated Ca2+ entry. Significance: This study provides mechanistic insights into the function of the full-length TRPV6. TRPV6 channels function as epithelial Ca2+ entry pathways in the epididymis, prostate, and placenta. However, the identity of the endogenous TRPV6 protein relies on predicted gene coding regions and is only known to a certain level of approximation. We show that in vivo the TRPV6 protein has an extended N terminus. Translation initiates at a non-AUG codon, at ACG, which is decoded by methionine and which is upstream of the annotated AUG, which is not used for initiation. The in vitro properties of channels formed by the extended full-length TRPV6 proteins and the so-far annotated and smaller TRPV6 are similar, but the extended N terminus increases trafficking to the plasma membrane and represents an additional scaffold for channel assembly. The increased translation of the smaller TRPV6 cDNA version may overestimate the in vivo situation where translation efficiency may represent an additional mechanism to tightly control the TRPV6-mediated Ca2+ entry to prevent deleterious Ca2+ overload.
Good employees through good jobs: A latent profile analysis of job types and employee outcomes in the Belgian electricity sector

Purpose The purpose of this paper is to identify different job types in the Belgian electricity sector and their relations with employee outcomes such as work engagement and innovative work behaviour (IWB). Design/methodology/approach This paper uses a combination of latent profile analysis and relative operating characteristics (ROC) analysis. Findings Depending on the job resources and demands, five different job types are identified corresponding largely to the Karasek and Theorell (1990) job types. Their relation with the outcomes is not parallel with low-strain jobs performing best for work engagement, and active jobs for IWB. Research limitations/implications The combination of methods used in this study increases significantly the ease of communication of the findings, yet an external benchmark for the ROC analysis would be preferable. Practical implications To foster engagement and IWB with employees one should focus on the job content and only increase demands if they are combined with sufficient resources. Originality/value This research is the first in its kind that relates latent job types with different employee outcomes using a combination of latent profile and ROC analysis.
Nature of Volatility in Indian Stock Market – An Empirical Analysis

The plots of market volatility can act as an electrocardiogram, reflecting the pulse of capital markets. It has been identified that stock indices in many developed as well as developing economies exhibit volatility clustering, which in finance literature is called “time-varying conditional volatility”. The purpose of the study is to characterize the time-varying volatility of the Indian capital market in the long run. The study focus on aspects like time varying volatility, the predictability of volatility, the symmetric nature of volatility towards positive and negative shocks, and the explanation for high volatility of Indian capital market for a period of 20 years. This study has analyzed the price data as well as return data of NSE CNX Nifty. We have used GARCH (1,1) Model to estimate time varying volatility and TARCH (1, 1) Model, to measure asymmetric volatility effect. The magnitude of volatility was found to fluctuate between periods and showed a repeating trend over time. It validates the asymmetric nature of volatility in Indian capital market and volatility clustering in the long run and give insights on the predictability of volatility.
Impact of Digital Economy on Female Employment: Evidence from Turkey

ABSTRACT This paper investigates impact of e-economic activities on female employment rates in Turkey over 1994–2016. The analysis unveils three major findings. First, 80.74% of variations in female employment are accounted by e-commerce and control variables. Second, Autoregressive Distributed Lag analysis documents that these series (female employment, e-commerce and control variables) are cointegrated, thus, a unit increase in per credit card e-commerce transactions leads the female employment rate to grow by 0.13 units in long-run at 1% significance level, whereas a percentage increase in internet penetration rate in Turkey augments the rates by 0.33%. Third, error-correction model analysis refers that the system quickly corrects its previous period disequilibrium converging at a speed of 75.43%, and also documents that the lags of per credit card e-commerce jointly have short-run impact on female employment rates. Thus, the study concludes that developing e-commerce incentivizing policies might help to empower women in Turkey significantly.
Investigation of an embedded RF switch IC in printed-circuit-board

This paper presents the interconnection performance of the embedded integrated-circuit (IC) in printed-circuit-board (PCB) against wire-bonding method. Embedding IC into PCB substrate, micro-vias were adopted to interconnect the IC to the substrate. In order to consider the RF performance of the interconnection used for embedding IC into the PCB substrate, a double-pole-double-through (DPDT) switch IC was selected as an embedded RF IC. The insertion loss (IL) and the return loss (RL) of each switch were measured in order to compare the wire-bonded switch IC to the embedded switch IC. As a result, the wire-bonded switch IL is better than 0.7 dB and the RL is 16.2 dB at 5 GHz. The embedded switch IL is 0.6 dB and the RL is greater than 33.5 dB at 5 GHz. In addition to this, the embedded switch RL is better than 25 dB until 7 GHz. Thus the micro-via interconnection of the embedded switch in PCB substrate demonstrated better the RF performance than wire-bonding method in perspectives of the RL and the IL. This paper presents the advantages of the embedded IC in PCB by using micro-via.
Learning, self-scheduling TDMA (LeSS-TDMA) for sensor networks

This paper proposes LeSS-TDMA, a novel approach for scheduling TDMA activity in a sensor network, where nodes create their own schedules by learning from previous activity. The protocol uses routing information to establish a schedule appropriate for periodical data gathering, which is the main traffic type in sensor networks. The schedule is determined by examining patterns that arise from data being sent in an incipient CSMA/CA, RTS/CTS phase. No extra control packets are needed, as is the case with existing TDMA solutions, so the power consumption is reduced. Tests show a high data throughput and fast schedule establishment, in tree-like topologies with relatively small neighborhoods.
Multi‐directional anisotropy from diffusion orientation distribution functions

To evaluate a model‐independent, multi‐directional anisotropy (MDA) metric that is analytically and experimentally equivalent to fractional anisotropy (FA) in single‐direction diffusivity, but potentially superior to FA in its sensitivity to the underlying anisotropy of multi‐directional diffusivity.
Multinationals and foreign direct investment: The Portuguese experience (1900-2010)

A long-term perspective on the evolution of inward and outward foreign investment in Portugal over the twentieth century has been absent from the existing literature. In a few cases the analysis has a larger chronological depth, namely in the studies by Salgado de Matos (1973). However, even in this case the author zooms in a specific period of time: the 1960s and early 1970s. Other studies provide a long-term synthesis on foreign direct investment (see for all, Leite et al, 2001; Moreira and Dias, 2008), but they rely on a descriptive and very superficial approach. The chapters dedicated by the recent and in-depth Historia Economica de Portugal (Lains and Silva, 2005, vol. 3) to the internationalization of the Portuguese economy or to capital as a factor of production never address FDI, which constitutes one important weakness of this work.