Miracle-dz/UniFAR-FTUs huggingface dataset:
Alternative News Orientation and Trust in Mainstream Media: A Longitudinal Audience Perspective

Abstract The emergence of online alternative news sites has enabled people to easily access viewpoints corresponding to their social and political identities and challenging mainstream media coverage. Taking an audience perspective and relying on a large four-wave panel survey from Sweden, this study examines orientation towards alternative news, paying specific attention to the potential reinforcing relationship with trust in mainstream media. Results show that increasing orientation towards alternative news is related to decreasing trust in mainstream media, and vice versa. In addition, the study highlights how alternative news orientation supplements rather than replaces consumption of traditional news. These findings provide valuable insights on the alternative news users and the dynamics of their media consumption, informing the debate on the role played by alternative news media in society.
Performance of Automated Point-of-Care Respiratory Rate Counting versus Manual Counting in Children under Five Admitted with Severe Febrile Illness to Kisantu Hospital, DR Congo

To improve the early recognition of danger signs in children with severe febrile illness in low resource settings, WHO promotes automated respiratory rate (RR) counting, but its performance is unknown in this population. Therefore, we prospectively evaluated the field performance of automated point-of-care plethysmography-based RR counting in hospitalized children with severe febrile illness (<5 years) in DR Congo. A trained research nurse simultaneously counted the RR manually (comparative method) and automatically with the Masimo Rad G pulse oximeter. Valid paired RR measurements were obtained in 202 (83.1%) children, among whom 43.1% (87/202) had fast breathing according to WHO criteria based on manual counting. Automated counting frequently underestimated the RR (median difference of −1 breath/minute; p2.5–p97.5 limits of agreement: −34–6), particularly at higher RR. This resulted in a failure to detect fast breathing in 24.1% (21/87) of fast breathing children (positive percent agreement: 75.9%), which was not explained by clinical characteristics (p > 0.05). Children without fast breathing were mostly correctly classified (negative percent agreement: 98.3%). In conclusion, in the present setting the automated RR counter performed insufficiently to facilitate the early recognition of danger signs in children with severe febrile illness, given wide limits of agreement and a too low positive percent agreement.
Dynamic routing on stochastic time-dependent networks using real-time information

In just-in-time (JIT) manufacturing environments, on-time delivery is one of the key performance measures for dispatching and routing of freight vehicles. Both the travel time delay and its variability impact the efficiency of JIT logistics operations, that are becoming more and more common in many industries, and in particular, the automotive industry. In this dissertation, we first propose a framework for dynamic routing of a single vehicle on a stochastic time dependent transportation network using real-time information from Intelligent Transportation Systems (ITS). Then, we consider milk-run deliveries with several pickup and delivery destinations subject to time windows under same network settings. Finally, we extend our dynamic routing models to account for arc traffic condition dependencies on the network. Recurrent and non-recurrent congestion are the two primary reasons for travel time delay and variability, and their impact on urban transportation networks is growing in recent decades. Hence, our routing methods explicitly account for both recurrent and non-recurrent congestion in the network. In our modeling framework, we develop alternative delay models for both congestion types based on historical data (e.g., velocity, volume, and parameters for incident events) and then integrate these models with the forward-looking routing models. The dynamic nature of our routing decisions exploits the real-time information available from various ITS sources, such as loop sensors. The forward-looking traffic dynamic models for individual arcs are based on congestion states and state transitions driven by time-dependent Markov chains. We propose effective methods for estimation of the parameters of these Markov chains. Based on vehicle location, time of day, and current and projected network congestion states, we generate dynamic routing policies using stochastic dynamic programming formulations. All algorithms are tested in simulated networks of Southeast-Michigan and Los Angeles, CA freeways and highways using historical traffic data from the Michigan ITS Center, Traffic.com, and Caltrans PEMS.
Barriers, drivers and prospects of the adoption of artificial intelligence property valuation methods in practice

ABSTRACT Embracing technological advancement in the property valuation practice is unavoidable. However, studies show that valuers largely still adopt traditional methods of valuation. Hence, this study investigates the barriers, drivers, and prospects of the adoption of artificial intelligence (AI) valuation methods in practice. An online questionnaire survey was conducted on valuers practising in Australia. Their opinions about the topic were collected and analysed using frequency distribution and mean score ranking to establish the most significant factors. According to the valuers, the most important advantage of AI valuation methods is that they will help to reduce the cost of valuations. It was also found that the professional bodies that regulate the property valuation practice are the major driver of the adoption of AI valuation methods. The valuers expressed that AI valuation methods may produce accurate estimates. The valuers confirmed that the main prospect of adopting the AI valuation methods in practice is that it could transform the property valuation industry. It is evident that all the property valuation stakeholders should invest efforts in promoting the adoption of AI valuation methods in practice to bridge the gap between theory and practice. This will help reposition the property valuation profession.
The Role of Different Types of Conversations for Meeting Success

While current meeting tools are able to capture key analytics from both text and voice (e.g., meeting summarization), they do not often capture important types of conversations (e.g., a heated discussion resulting in a conflict being resolved). We developed a framework that not only analyzes text and voice, but also quantifies fundamental types of conversations. Upon analyzing 72 hours of conversations from 85 real-world virtual meetings together with their 256 self-reported meeting success scores, we found that our quantification of types of conversations (e.g., social support, conflict resolution) was more predictive of meeting success than traditional voice and text analytics. These new techniques will be essential to uncover patterns in online meetings that might otherwise go unnoticed.
Co-developing climate services for public health: Stakeholder needs and perceptions for the prevention and control of Aedes-transmitted diseases in the Caribbean

Background Small island developing states (SIDS) in the Caribbean region are challenged with managing the health outcomes of a changing climate. Health and climate sectors have partnered to co-develop climate services to improve the management of these diseases, for example, through the development of climate-driven early warning systems. The objective of this study was to identify health and climate stakeholder perceptions and needs in the Caribbean, with respect to the development of climate services for arboviruses (e.g. dengue, chikungunya, and Zika). Methods Stakeholders included public decision makers and practitioners from the climate and health sectors at the regional (Caribbean) level and from the countries of Dominica and Barbados. From April to June 2017, we conducted interviews (n=41), surveys (n=32), and national workshops with stakeholders. Survey responses were tabulated and audio recordings were transcribed and analyzed using qualitative coding to identify responses by research topic, country/region, and sector. Results Health practitioners indicated that their jurisdiction is currently experiencing an increased risk of diseases transmitted by Ae. aegypti due to climate variability, and most anticipated that this risk will increase in the future. National health sectors reported financial limitations and a lack of technical expertise in geographic information systems (GIS), statistics, and modeling, which constrained their ability to implement climate services for arboviruses. National climate sectors were constrained by a lack of personnel. Stakeholders highlighted the need to strengthen partnerships with the private sector, academia, and civil society. They identified a gap in local research on climate-arbovirus linkages, which constrained the ability of the health sector to make informed decisions. Strategies to strengthen the climate-health partnership included a top-down approach by engaging senior leadership, multi-lateral collaboration agreements, national committees on climate and health, and shared spaces of dialogue. Mechanisms for mainstreaming climate services for health operations to control arboviruses included climate-health bulletins and an online GIS platform that would allow for regional data sharing and the generation of spatiotemporal epidemic forecasts. Conclusions These findings support the creation of interdisciplinary and intersectoral communities of practices and the co-design of climate services for the Caribbean public health sector. By fostering the effective use of climate information within health policy, research and practice, nations will have greater capacity to adapt to a changing climate.
Smart COVID-3D-SCNN: A Novel Method to Classify X-ray Images of COVID-19

The outbreak of the novel coronavirus has spread worldwide, and millions of people are being infected. Image or detection classification is one of the first application areas of deep learning, which has a significant contribution to medical image analysis. In classification detection, one or more images (detection) are usually used as input, and diagnostic variables (such as whether there is a disease) are used as output. The novel coronavirus has spread across the world, infecting millions of people. Early-stage detection of critical cases of COVID-19 is essential. X-ray scans are used in clinical studies to diagnose COVID-19 and Pneumonia early. For extracting the discriminative features through these modalities, deep convolutional neural networks (CNNs) are used. A siamese convolutional neural network model (COVID-3D-SCNN) is proposed in this study for the automated detection of COVID-19 by utilizing X-ray scans. To extract the useful features, we used three consecutive models working in parallel in the proposed approach. We acquired 575 COVID-19, 1200 non-COVID, and 1400 pneumonia images, which are publicly available. In our framework, augmentation is used to enlarge the dataset. The findings suggest that the proposed method outperforms the results of comparative studies in terms of accuracy 96.70%, specificity 95.55%, and sensitivity 96.62% over (COVID-19 vs. non-COVID19 vs. Pneumonia). © 2022 CRL Publishing. All rights reserved.
Identification and characterization of Metarhizium majus isolated from the edible insect Protaetia brevitarsis in Korea

Edible insects are considered novel protein sources, and the edible insect breeding industry is growing rapidly. However, fungal pathogens are a major threat to this industry, and appropriate identification of causative agents is important for the development of antifungal agents. In 2019, strains of the fungal pathogen Metarhizium were isolated from infected second and third instar larvae of the economically important edible insect Protaetia brevitarsis, which were collected from separate farms in Gimhae‐si, Gyeongsangnam‐do, Korea. Based on morphological characteristics and multilocus phylogenetic analysis of the internal transcribed spacer region, and 5′‐region of gene encoding the 1‐α elongation factor, the fungal strains were identified as Metarhizium majus. Here, we report the detailed phylogenetic characteristics and morphological description of this species, which is prevalent in Korea. Identification of the principal disease‐causing agent can help develop disease prevention and antifungal strategies for application in edible insect‐rearing farms.
Transient analysis of printed lines using finite‐difference time‐domain method

Comprehensive studies of ultra‐wideband pulses and electromagnetic coupling on printed coupled lines have been performed using full‐wave 3D finite‐difference time‐domain analysis. Effects of unequal phase velocities of coupled modes, coupling between line traces, and the frequency dispersion on the waveform fidelity and crosstalk have been investigated in detail. To discriminate the contributions of different mechanisms into pulse evolution, single and coupled microstrip lines without (ϵr = 1) and with (ϵr > 1) dielectric substrates have been examined. To consistently compare the performance of the coupled lines with substrates of different permittivities and transients of different characteristic times, a generic metric similar to the electrical wavelength has been introduced. The features of pulse propagation on coupled lines with layered and pedestal substrates and on the irregular traces have been explored. Physical interpretations of the simulation results are discussed in the paper. Copyright © 2012 John Wiley & Sons, Ltd.
A Conceptual Proposal: Does Improvisation moderate the relationship between Mindfulness and Employee Creativity

Prior research on creativity has grasped the attention of researchers to devote more focus on the interaction that arises between the individual and the surrounding milieu. Thus, this study aimed to propose the moderating role of improvisation on the relationship between mindfulness and employee creativity. The propositions posted in this study was developed based on the relationships established within previous empirical studies among these variables. Such proposition of improvisation as a moderator on the relationship between mindfulness and employee creativity might heavily contribute to the theory by addressing the issue of mixed and inconclusive results in the mindfulness-creativity literature, and will provide a comprehensive understanding of how improvisation might help in unleashing the creative potentials of employees.
The impact of HPV infection on risk of progression and overall mortality in vulvar squamous cell carcinoma: a retrospective single-center analysis

Aims: To investigate the impact of Human Papillomavirus (HPV) infection on clinic and histopathologic characteristics, and prognostic factors of patients affected by vulvar squamous cell carcinoma (VSCC). Methods: Fifty-six patients diagnosed with VSCC at the IRCCS Fondazione Policlinico San Matteo, Pavia, Italy, from March 2001 to February 2016, were enrolled in a retrospective analysis. HPV DNA was detected by the INNO-LiPA HPV genotyping assay, version EXTRA II, on corresponding pathological specimens. Clinic and histopathologic characteristics were compared through Fisher's exact test. Kaplan–Meier survival curves and Cox regression models were used to analyze prognostic factors. Results: According to the Kaplan–Meier curves, no differences were found neither in Disease Free Survival (DFS) (p=0.221), nor in Overall Survival (OS) (p=0.135) between HPV-positive and HPV-negative patients. At Cox multivariate analysis, lymph node metastasis and positive surgical margins were significantly associated to higher risk of progression/relapse. This association was retained but decreased by lymph node metastasis (HR=5.92, 95% CI: 2.16 – 16.23; p<0.001) and positive surgical margins (HR=3.10, 95% CI: 1.13 – 6.50; p=0.028) in case of HPV-positivity, that was instead related to lower risk of disease progression/relapse (HR=0.31, 95% CI: 0.13 – 0.75; p=0.009). Age ? 75 years, lymph node metastasis and adjuvant radiotherapy were statistically associated to higher mortality rate. A significant reducing effect on mortality was shown adjusting HPV for lymph node extracapsular spread (HR=0.38, 95% CI: 0.16-0.88; p=0.025), and FIGO stage > I (HR=0.42, 95% CI: 0.19 – 0.95; p=0.037), that, instead, related to higher risk of death for any cause (HR=4.46, 95% CI: 1.51 – 13.19; p=0.007 and HR=2.53, 95% CI: 1.12 – 5.73; p=0.026, respectively). Conclusions: Risk of progression is reduced in HPV-positive patients with node metastasis and positive surgical margins. Overall, HPV infection has a protective effect on mortality in case of node extracapsular spread or FIGO stage > I.
Safety and Efficacy of Autologous Dermal Fibroblast Injection to Enhance Healing After Full-Thickness Rotator Cuff Repair: First-in-Human Pilot Study

Background: There is growing interest in various biological supplements to improve tendon healing in patients after arthroscopic rotator cuff repair. The ideal biological supplement to strengthen rotator cuff remains unknown. Purpose: To assess the safety and efficacy of autologous cultured dermal fibroblast (ADF) injection on tendon-to-bone healing in patients after arthroscopic rotator cuff repair. Study Design: Case series; Level of evidence, 4. Methods: Included were 6 patients who underwent arthroscopic rotator cuff repair between June 2018 and March 2020; all patients had a full-thickness rotator cuff tear (>2 cm) involving the supraspinatus and infraspinatus tendons. The patients were injected with ADF between the repaired tendon and footprint during arthroscopic rotator cuff repair using the suture bridge technique. The safety of ADFs and the procedure was evaluated at 5 weeks postoperatively, and the anatomical healing of the repaired tendon was accessed at 6 months postoperatively using magnetic resonance imaging and at 12 months using ultrasonography. Outcomes including shoulder range of motion (ROM), visual analog scale (VAS) for pain, and functional scores were measured at 6 and 12 months postoperatively. Results: Adverse reactions to ADF injection were not observed at 6 months after surgery. VAS and functional scores at 6 and 12 months postoperatively were significantly improved compared with preoperative scores (all P < .05). However, there was no significant difference on any ROM variable between preoperative and postoperative measurements at 6 and 12 months (all P > .05). No healing failure was found at 6 and 12 months postoperatively. Conclusion: There was no adverse reaction to ADF injection, and all patients had successful healing after rotator cuff repair. A simple and easily accessible ADF injection may be a novel treatment option for increasing the healing capacity of torn rotator cuff tendons. Further clinical research is needed to verify the study results.
Conservative Management versus Emergency Hysterectomy in Cases of Morbidly Adherent Placenta a Retrospective Cohort Study

Aims: To evaluate the outcome of two different approaches of management for morbidly adherent placenta (MAP). Methods: Retrospective study analyzing the outcomes of conservative (leaving the placenta in-situ) and emergency hysterectomy of cases with MAP in one year. Patients who were referred to hospital emergency unite with suspected MAP. Emergency preparation of operative theatre and blood booking, emergency CS was done with attendance of senior obstetrician, anaesthetist, haematologist and paediatrician. Patients with placenta precreta and/or low parity the decision was to leave placenta in-situ. Other cases emergency hysterectomy was done. Data of intra-operative and post operative details were extracted from patient files and analyses of different outcomes were done. Results: during the study period 88 patients with suspected MAP referred to maternity hospital as emergency cases (active uterine contraction or active bleeding). There was significant reduction in the intraoperative blood loss in conservative management group (570 vs. 3760 ml P<0.001), number of blood units transfused (0.9 vs. 4.5, P<0.001), incidence of bladder injury (0 vs. 29.2%, P<0.0001). There was one case of maternal mortality in the control group and none in the conservative group. Conclusion: conservative management of MAP is significantly safer than surgical approach in patients wishing to preserve their uteri and when there invasion of surrounding organs and should be offered as the first option for these groups of patients if it is possible without endangering maternal life.
From bureaucratic forms towards team-based knowledge work systems: implications for human resource management

Teamwork as knowledge integrating mechanisms is critical for firms pursuing a knowledge driven strategy (Grant, 1996b); yet, theoretical and empirical research regarding how to manage knowledge processes in team settings remains limited in the strategic human resource management (SHRM) field. This paper builds on the knowledge work and SHRM literatures. We outline key knowledge processes including knowledge sharing, knowledge creation and team learning. A team-based HRM system is demarcated that aims to foster knowledge work. Four key HR practices are discussed including knowledge staffing, knowledge-based performance management, fostering of shared leadership and trust building. The paper identifies key challenges for HRM and addresses areas for future research.
Performance of integrated nutrient management on yield and uptake of direct seeded rice.

The preset study is a part of the mandatory programme of Krishi Vigyan Kendra, Rewa (M.P). Participatory rural appraisal (PRA), the group discussion were following by explore the details information of study area. In between the technology intervention HRD components were also included to excel the farmers understanding and skill about the demonstrated technology on INM. The front line demonstration conducted adopted village viz., Khaur and Laksmanpur on paddy c.v poornima during Kharif 2008–09. The soli had pH 6.7, EC 0 22 dSm-l organice carbon 0.62%, available nitrogen 230 Kg/ha, phosphorus 15.04 Kg/ha and potassium 321.6 Kg/ha.The experiment incuded two treatments viz. farmers practice (1.5 bags of each DAP and urea) chemical fertilizers thought (48.35:0 NPK) and recommended practice (80:40:30 NPK+ 5 Kg Zn+ 5 t FYM+12 Kg BGA+ 3 Kg PSB/ha). The increase in fertility level through INM (RP) from different sources increased the quantitative parameters of paddy. Higher grain and straw yields (37 and 60 q/ha) were observed in INM (RPO over Farmers practice (22 and 39 q/ha) respectively. Accordingly, the INM treatment (recommend ded practice) registered the highest B:C ratio 3.1 and lowest B:C ratio 2.5 was observed in case of farmers practice. Extension gap (15) was calculated This gap is denoted that there is a sufficient chance to increase in rice yield by adopting recommended technology. Technological gap (8.0) was calculated, this gap is express that there is need to guide and educate for adopting recommended technology.
Effects of external uncertainties and power on opportunism in supply chains: evidence from China

This study examines the determinants of opportunism in supply chain relationships in emerging markets. Drawing on transaction cost theory and resource dependence theory, we propose that external uncertainties (environmental uncertainty and legal unprotectability) influence opportunism through power (coercive and non-coercive). The results, based on 240 companies in China, indicate that environmental uncertainty enhances supplier opportunism directly and indirectly through the buyer’s use of coercive power over the supplier, while legal unprotectability enhances supplier opportunism directly, but reduces it indirectly through the buyer’s use of non-coercive power. While buyer coercive power increases supplier opportunism, buyer non-coercive power decreases it.