Miracle-dz/UniFAR-FTUs huggingface dataset:
Improved AP Deployment Optimization Scheme Based on Multi-objective Particle Swarm Optimization Algorithm

Deployment of access point (AP) is a problem that must be considered in network planning. However, this problem is usually a NP-hard problem which is difficult to directly reach optimal solution. Thus, improved AP deployment optimization scheme based on swarm intelligence algorithm is proposed to research on this problem. First, the scheme estimates the number of APs. Second, the multi-objective particle swarm optimization (MOPSO) algorithm is used to optimize the location and transmit power of APs. Finally, the greedy algorithm is used to remove the redundant APs. Comparing with multi-objective whale swarm optimization algorithm (MOWOA), particle swarm optimization (PSO) and grey wolf optimization (GWO), the proposed deployment scheme can reduce AP's transmit power and improves energy efficiency under different numbers of users. From the experimental results, the proposed deployment scheme can reduce transmit power about 2%-7% and increase energy efficiency about 2%-25%, comparing with MOWOA. In addition, the proposed deployment scheme can reduce transmit power at most 50% and increase energy efficiency at most 200%, comparing with PSO and GWO.
Developing Targeted Client Communication Messages to Women in Bangladesh: A Qualitative Approach Based on Women’s and Family Members’ Perceptions and Knowledge of Antenatal Care

Background: Timely and appropriate evidence-based practices during antenatal care improve maternal and neonatal health. There is a lack of information on how pregnant women and families perceive antenatal care in Bangladesh. This study explores their perceptions towards developing targeted client communication via text messages for increasing antenatal care utilization, as part of an implementation of an electronic registry for maternal and child health.Methods: We conducted this qualitative study between May and June 2017 in two sub-districts of Chandpur district, Bangladesh. We selected study participants by purposive sampling. A total of 24 in-depth interviews were conducted with pregnant women (n=10), lactating women (n=5), husbands (n=5), and mothers-in-law (n=4). The health belief model was used to guide data collection and analysis. Thematic analysis was carried out manually. We used behavior change techniques to inform the development of targeted client communications based on the thematic results.Results: Almost no respondents mentioned antenatal care as a preventive form of care, and only perceived it as necessary if any complications developed during pregnancy. Knowledge of the content of antenatal care and pregnancy complications was low. Women reported a variety of reasons for not attending ANC, including the lack of information on the timing of ANC; lack of decision-making power; long-distance to access care; being busy with household chores and not being satisfied with the treatment by health care providers. Study participants recommended phone calls as their preferred communication strategy when asked to choose between the phone call and text message, but saw text messages as a feasible option. We developed a library of 43 automatically customizable text messages to increase ANC utilization. Conclusions: Pregnant women and family members had limited knowledge about antenatal care and pregnancy complications. Effective health information through text messages could increase awareness of antenatal care among study participants. This study presents an example of designing targeted client communication to increase antenatal care utilization within formal scientific frameworks, including a taxonomy of behavior change techniques.
COMPARATIVE EVALUATIONS OF CNN BASED NETWORKS FOR SKIN LESION CLASSIFICATION

The aim of this work is to classify Hemangioma, Rosacea and Acne Vulgaris diseases from digital colored photographs automatically. To determine the most appropriate deep neural network for this multi-class classification, network architectures have been examined. To perform a meaningful comparison of deep networks, they should be (i) implemented with the same parameters, (ii) applied with the same activation, loss and optimization functions, (iii) trained and tested with the same datasets, (iv) run on computers having the same hardware configurations. Therefore, in this work, five deep networks, which are applied widely in image classification, have been used to compare their performances by considering these factors. Those networks are VGG16, VGG19, GoogleNet, InceptionV3 and ResNet101. Comparative evaluations of the results obtained from these networks have been performed in terms of accuracy, precision and specificity. F1 score and Matthew’s correlation coefficient values have also been computed. Experimental results indicated that ResNet101 architecture can classify images used in this study with higher accuracy (77.72%) than the others.
How does marketing become viral? : An investigation of the dynamics in digital campaigns

Viral advertising might be described as a communication in a short period of time related to product or brand, which is spread by consumers. Simultaneously it is becoming an increasingly discussed phenomenon in marketing field, since traditional tools for reaching customers are less efficient. Therefore companies use viral approach to avoid contemporary uncertainty, when customers become more immune towards the influence of advertising. Viral advertising research focuses on viral strategies, psychosocial attitudes towards forwarding content and its diffusion via networks. However, it is relatively unknown how the actual campaign process is designed and unfolds. I conducted a multiple case study, which examines four viral campaigns, to answer the research questions “Which are the design factors for viral campaigns? ” and “How are the design components interrelated in viral diffusion process? ” In the analysis, I examine viral process in these campaigns through a holistic framework based on existing research streams. Based on a cross case analysis I suggest increased granularity of the involved factors. The thesis identifies new factors in viral diffusion such as consistency and reinforcing cycles. Furthermore, it proposes a framework for studying the process in which viral campaign occurs.
Reducing the Dosing Frequency of Selective Digestive Tract Decontamination to Three Times Daily Provides Effective Decontamination of Potentially Pathogenic Micro-Organisms

PurposeThis study evaluated the effectiveness of selective digestive tract decontamination (SDD) application three times daily (t.i.d.) compared to the standard four times daily (q.i.d.). MethodsRetrospective equivalence study with a before-and-after design on a tertiary ICU in which the SDD frequency was reduced from q.i. d. to t.i. d. All patients with ICU admissions ≥72h, and with ≥2 surveillance cultures collected on different dates were included in this study. We compared successful decontamination of Gram-negative bacteria (GNB). Furthermore, time to decontamination, ICU-acquired GNB bacteraemia and 28-day mortality were compared between the two groups. ResultsIn total 1958 ICU admissions (1236 q.i.d., 722 t.i.d). Decontamination was achieved during the first week of admission in 77% and 76% of patients receiving SDD q.i. d and t.i. d. , respectively. Successful decontamination within 14 days (without consecutive acquisition of Gram-negative bacteria) was achieved in 69.3. % of the admissions with q.i. d. versus 66.8% in t.i. d. SDD (p-value = 0.2519). The proportions of successful decontamination of GNB were equivalent in both groups (-0.025, 98% CI: -0.087; 0.037). There was no significant difference in time to decontamination between the two regimens (log-rank test p-value = 0.55). Incidence (episodes/1000 days) of ICU-acquired GNB bacteraemia was 0.9 in both groups and OR for death at day 28 in the t.i. d. group compared to the q.i. d. group was 0.99 (95% confidence interval, 0.80-1.21). ConclusionsThis study shows that a t.i. d. application regimen provides equally effective SDD compared to the standard q.i. d. regime, for both microbiological and clinical outcome measures.
Identifying predictors to gain sensitivity of nucleic acid amplification tests for Mycobacterium tuberculosis

Background: Tuberculosis (TB) remains one of the primary threatening of human health and its diagnosis remains unsatisfactory in clinic. Nucleic acid amplification tests (NAAT) showed higher sensitivity than culture for the diagnosis of pulmonary TB (PTB). However, NAAT are expensive and not easily deployable at the peripheral level. To improve the sensitivity of NAAT for the PTB diagnosis, the predictive factors that might be utilized to give the optimized choice of NAAT were investigated.Methods: A total of 1263 PTB suspects were enrolled for evaluation. The sensitivity, specificity and accuracy of Mtb detection in sputum and bronchoalveolar lavage fluid (BALF) were compared. Odds ratios and 95% confidence intervals were used to assess variables that associated with positive NAAT in sputum and BALF of PTB suspects.Results: An significantly enhanced sensitivity was observed when performed on NAAT (61.1%) compared with smear (9.0%) and culture of Mtb (47.8%). We found that erythrocyte sedimentation rate (ESR) (+), cavities (+) and IFN-γ release assay (IGRA) (+) are involved in the positivity of Mtb detection through NAAT. Moreover, those who are ESR (+), cavities (+) and IGRA (+), showed 86% diagnostic positivity of Mtb by NAAT.Conclusions: Our study suggested that combination of the results of ESR and IGRA and the presence of pulmonary cavity is helpful to predict the positivity of Mtb detection through NAAT. Those who are ESR (+), cavities (+) and IGRA (+), should perform NAAT for Mtb detection, because they are most likely to be bacteriologically confirmed as TB.
The alarm-defense system of Cimex lectularius and its implications for pest management

Title of Document: THE ALARM-DEFENSE SYSTEM OF CIMEX LECTULARIUS AND ITS IMPLICATIONS FOR PEST MANAGEMENT Kevin Richard Ulrich, Doctor of Philosophy, 2015 Directed By: Professor Barbara L. Thorne Department of Entomology In this dissertation, I focus on the alarm-defense system of the common bed bug, Cimex lectularius, its effectiveness against pathogen attacks, and its role as a mechanism of communication for conspecifics. This dual role of an alarm-defense system is efficient and effective considering that the two functions are typically required simultaneously in times of danger; the same substance should serve both purposes. First, I surveyed the most common types of commercial bed bug treatments to determine long-term efficacy. Regardless of the treatment, chemical or heat, retreatments for bed bug infestations were required. After 3 years, 20.8% of housing units receiving a chemical treatment required additional treatments; 9.5% of units receiving heat treatments required a retreatment during the same period. Multifamily units required retreatments significantly more than all other housing types. Given these findings that emphasize the necessity for a multifaceted IPM program, I investigated whether the entomopathogenic fungus, Metarhizium anisopliae, could be used to control bed bugs. Feeding experiments demonstrated that bed bugs were innately susceptible to this fungus. However, regardless of whether bed bugs were sprayed with a fungal solution or contacted a treated surface, only at 98% humidity was mortality high. In addition, the two major aldehydes (E)-2hexenal and (E)-2-octenal emitted as defensive secretions by bed bugs inhibited the in vitro growth of an isolate of M. anisopliae. The ability to accurately and quickly detect new infestations is a critical element to an IPM-based strategy. This detection requires an understanding of attraction behavior and cues. I show through use of video-tracking software, (E)-2hexenal and (E)-2-octenal attract adult bed bugs. Behavioral assays determined both males and females were attracted to 0.04 μg of an aldehyde blend for up to two hours after initial treatment of filter paper disks. Results suggest that these bed bug secretions may be candidates for lures and monitors. Taken together, this research describes the chemical ecology of bed bugs, providing insight into relevant signaling and defensive behavior, which has direct implications on pest management practices. THE ALARM-DEFENSE SYSTEM OF CIMEX LECTULARIUS AND ITS IMPLICATIONS FOR PEST MANAGEMENT
Helping Teens Answer the Question “Who Am I?”: Social Development in Adolescents

This is the third of a four-part series that will explore adolescence in terms of physical, cognitive, social, and moral development. This publication will focus on the social development that adolescents experience. This document is FCS2242, one of a series of the Family, Youth and Community Sciences Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. Original publication date December 6, 2005.
Hepatitis E virus truncated capsid protein as a potential carrier of exogenous antigens for the development of chimeric virus-like particle vaccines

Background: Virus like particle (VLP), a multiprotein structure which is assembled automatically, can stimulate robust immune responses due to an appropriate size, repetitive epitopes, and a structure similar to native virions. Utilizing VLPs as vaccine carriers to present exogenous antigens is a promising and challenging field in vaccine design. Hence, this study aims to investigate the potential of Hepatitis E virus (HEV) truncated capsid protein as a VLP carrier presenting foreign antigens in vaccine design.Results: S and M domains of HEV ORF2 protein (aa112-455) were selected as an optimal carrier (CaSM). The exogenous antigen Seq8 containing three immunogenic domains from three different foot-and-mouth disease virus (FMDV) strains was linked to the C-terminal of CaSM to construct a chimeric VLP vaccine candidate (CaSM-Seq8). Morphological analysis showed that CaSM-Seq8 self-assembled into VLPs with a diameter of approximately 26 nm, similar to the VLPs of CaSM alone but smaller than native HEV virions. Further, the thermal stability and the proteolysis resistance of Seq8 were enhanced when carried by CaSM. The antigenicity analysis revealed a more robust reactivity against anti-FMDV specific antibodies when Seq8 was presented on the CaSM particles. Upon injection into mice, anti-FMDV IgGs induced by CaSM-Seq8 appeared earlier, increased faster, and maintained higher levels for a longer time than those induced by Seq8 antigen alone or a commercial inactivated FMDV vaccine.Conclusions: This study demonstrates the potential of the HEV truncated capsid protein VLPs as a presenting-platform of exogenous antigens in vaccine design and promising preliminary results on chimeric VLP vaccine against foot-and-mouth disease.
Multi-object Segmentation of Head Bones

We present a fully automatic method for 3D segmentation of the mandibular bone from CT data. The method includes an adaptation of statistical shape models of the mandible, the skull base and the midfacial bones, followed by a simultaneous graph-based optimization of adjacent deformable models. The adaptation of the models to the image data is performed according to a heuristic model of the typical intensity distribution in the vincinity of the bone boundary, with special focus on an accurate discrimination of adjacent bones in joint regions. An evaluation of our method based on 18 CT scans shows that a manual correction of the automatic segmentations is not necessary in approx. 60% of the axial slices that contain the mandible.
PART 3: Society: Social Benefits of Transit: Case Study of Metropolitan Atlanta Rapid Transit Authority

Advocates of transit suggest that there are several important social benefits of transit systems—savings in pollution, congestion, and general social costs. Estimates of such savings have been limited to general comparisons with the personal occupancy vehicle (POV) mode usually on a vehicle-miles-traveled basis. Those savings are simulated in the context of the Metropolitan Atlanta Rapid Transit Authority (MARTA). It is estimated that between 1980 and 1994, MARTA generated about $2.2 billion in total social cost savings by diverting POV riders to transit. Compared with the POV alternative, MARTA generates an average of about $107 million annually in savings to society even after considering society’s subsidies to transit. Shortcomings of the analysis and policy implications are discussed.
The Regulation of Lymphatic Muscle Cell Contractile Activity by Intracellular Calcium Signals

Lymphedema is characterized by chronic edema due to lymphatic insufficiency. Normally, the spontaneous contractions of the collecting lymphatic vessels (cLVs) function to pump lymph against a pressure gradient back to the blood stream, however cLVs from lymphedema patients often display weak or irregular pumping activity. We have recently shown that that mouse lymphatic muscle cells (LMCs) exhibit a diastolic depolarization that sets contraction frequency and is the basis of cLV pacemaking and autorhythmicity. In murine cLVs, this diastolic depolarization is pressure‐dependent and is mediated by the Ca2+ activated chloride channel Anoctamin1 (Ano1). Ano1 is presumed to be activated by the spontaneous Ca2+ transients originating from the sarcoplasmic reticulum (SR), however the identity of the SR Ca2+ channels underlying these diastolic Ca2+ transients has not been rigorously tested using genetic models. We tested the hypothesis that intracellular Ca2+ signals released from the SR are critical in regulating lymphatic pacemaking and contractile activity. We sorted murine LMCs and observed expression of both Itpr1 and RyR2. We tested the role of Itpr1 and RyR2 in the electrical and contractile regulation of the murine inguinal‐axillary cLV (Ing‐Ax) through the use of inducible deletion models (MYH11CreERT2) or mice harboring knock‐in gain of function (GOF) of loss of function (LOF) mutations. These mouse models include Ano1fl/fl, Itpr1fl/fl, Itpr1DK (GOF mutant), Itpr1DA (LOF mutant), RyR2fl/fl, and RyR2VF (GOF mutant). We performed ex vivo isobaric vessel myography in response to a physiological pressure range to determine Ing‐Ax contraction frequency (Freq), contraction amplitude (Amp), and vessel tone (Tone). In some experiments, we also recorded membrane potential using “sharp electrodes” and imaged Ca2+ signals using the genetically encoded cytosolic Ca2+ sensor GCaMP6f or GCaMP8 from pressurized Ing‐Ax cLVs. Ing‐Ax cLVs isolated from the heterozygous Itpr1DA/WT, the homozygous Itpr1DA/DA, and Itpr1smKO mice had significantly reduced contraction Freq and Tone, but also observed significantly higher Amp. Strikingly, Itpr1smKO Ing‐Ax cLVs also lacked the pressure‐dependent chronotropy similar to cLVs from Ano1smKO mice, however Itpr1smKO vessels had unstable periodicity in the contraction rhythm. Ing‐Ax cLVs from RyR2smKO mice had normal contraction Freq, Amp and Tone. In contrast, Ing‐Ax cLVs from the GOF RyR2VF/KO mice had significantly higher Tone and Freq, but significantly reduced Amp. Ing‐Ax cLVs from GOF Iptr1DK mice contracted into a paralytic rigor during the vessel warming and equilibration period likely due to Ca2+overload. These findings suggest that the pressure‐dependent Freq in murine cLVs is mediated by the activation of Ano1 by SR Ca2+ release through Itpr1 and an acceleration of the diastolic depolarization.
Realtime analysis of carbon dioxide concentration curves for intelligent ventilation control

This thesis is an investigation into the intelligent control of on-demand ventilation systems using carbon dioxide concentrations to determine occupancy patterns, the building’s natural infiltration rate and as a proxy for indoor air quality (IAQ). The suitability of using CO₂ sensors to continuously monitor concentration changes in a ventilation zone in order to determine occupancy and natural infiltration rate is investigated. A heat recovery ventilator (HRV) was modified by replacing the factory electronics with a designed controller that enabled variable air flow rates and direct control of recirculation via direct computer control. Apparatus was built to centrally sample the incoming fresh air and outgoing exhaust flows for CO₂ which was measured using a non-dispersive infrared (NDIR) sensor. An additional controller was designed to select air streams for sampling, command the HRV and send data to a data acquisition system. Data was logged for several months into a database and analysed. CO₂ concentration decays that highly correlated with a theoretical decay curve using a moving window technique were studied as an indicator of vacancy while the decay constants of the decay curves were used to calculate the natural infiltration rate. The results demonstrate that building ventilation zone occupancy schedules and natural infiltration rates can be accurately determined via the analysis of CO₂ concentration decay curves. These techniques allow a control system to automatically adjust to changing usage patterns without manual reprogramming. The natural infiltration rate of a ventilation zone would normally be unknown, making prediction of future CO₂ concentrations difficult. These calculated parameters allow intelligent, predictive ventilation control schemes which have the potential to minimize ventilation energy losses to their theoretical limits.
ANALISIS PENGEMBANGAN SEKTOR EKONOMI POTENSIAL KOTA PONTIANAK

This research is one of the efforts to find out the potentials of the regions that influence economic growth in Pontianak City from 2013 to 2017 and some of the contributions of these potential sectors to regional economic growth. This study aims to determine which sectors are the base sector and potential sectors to be developed in Pontianak City, and to find out how much influence the base sector and potential sectors have on the development of Pontianak City's GRDP.This study uses secondary data in the form of Gross Regional Domestic Product (GRDP) based on constant prices of Pontianak City and West Kalimantan Province in 2013 to 2017. In this study the analysis method used is Location Quetiont (LQ), Shift Share analysis and Hypothesis Test.The results of the study used the Location Quetiont (LQ) method, sectors that have an LQ index greater than one (LQ> 1) and are the economic base sector, which is the industrial sector, the electricity and gas procurement sector, the water supply sector, waste management, waste and recycling re, the construction sector, the wholesale and retail trade sectors; car and motorcycle repair, transportation and warehousing sector, accommodation and food and beverage supply sector, information and communication sector, financial and insurance services sector, company service sector, government administration sector, compulsory defense and social security sector, education service sector, health service sector and social activities, and other service sectors.The results of the Shift Share analysis method using the differential growth component (DJ) show that there are 6 sectors with a positive average DJ, namely, the water supply sector, waste management, waste and recycling, the wholesale and retail sectors; car and motorcycle repair, accommodation and food and beverage supply sector, company service sector, education sector, health service sector. This indicates that the 6 sectors are growing faster than the same economic sector as the Province of West Kalimantan so that these sectors have high competitiveness and have the potential to be developed to spur economic growth in Pontianak City.Keywords : Economic Potential, Location Quotion and Shift Share