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Road and transportation plays a vital role in the sustainable development and prosperity of the area. This study investigates the impact of road and transportation on the health of the host community and its sustainable destination development. Data were collected from the host community and were analyzed through factor analysis and structure equation modeling to evaluate the in-hand data of the structural relationship. It is revealed that road and transportation has a significant role in the improvement of health. Moreover, income mediates the effects of accessibility and employment on health. This study will help the authorities and policy maker to formulate policy regarding road and transportation that will improve health of the host community and its sustainable development. The study is limited to the seven districts of Hazara division and explores the societal aspect of CPEC on the host community, future researcher may investigate other regions and may select some other variables such as effect on GDP, per capita income, etc.

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INTRODUCTION: An increasing number of patients are voicing their opinions and expectations about the quality of care in online forums and on physician rating websites (PRWs). This paper analyzes patient online reviews (PORs) to identify emerging and fading topics and sentiment trends in PRWs during the early stage of the COVID-19 outbreak. METHODS: Text data were collected, including 55,612 PORs of 3430 doctors from three popular PRWs in the United States (RateMDs, HealthGrades, and Vitals) from March 01 to June 27, 2020. An improved latent Dirichlet allocation (LDA)-based topic modeling (topic coherence-based LDA [TCLDA]), manual annotation, and sentiment analysis tool were applied to extract a suitable number of topics, generate corresponding keywords, assign topic names, and determine trends in the extracted topics and specific emotions. RESULTS: According to the coherence value and manual annotation, the identified taxonomy includes 30 topics across high-rank and low-rank disease categories. The emerging topics in PRWs focus mainly on themes such as treatment experience, policy implementation regarding epidemic control measures, individuals' attitudes toward the pandemic, and mental health across high-rank diseases. In contrast, the treatment process and experience during COVID-19, awareness and COVID-19 control measures, and COVID-19 deaths, fear, and stress were the most popular themes for low-rank diseases. Panic buying and daily life impact, treatment processes, and bedside manner were the fading themes across high-rank diseases. In contrast, provider attitude toward patients during the pandemic, detection at public transportation, passenger, travel bans and warnings, and materials supplies and society support during COVID-19 were the most fading themes across low-rank diseases. Regarding sentiment analysis, negative emotions (fear, anger, and sadness) prevail during the early wave of the COVID-19. CONCLUSION: Mining topic dynamics and sentiment trends in PRWs may provide valuable knowledge of patients' opinions during the COVID-19 crisis. Policymakers should consider these PORs and develop global healthcare policies and surveillance systems through monitoring PRWs. The findings of this study identify research gaps in the areas of e-health and text mining and offer future research directions.

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It is highly desired to develop an efficient large surface area CoCrFeO4-based beads sun-light driven photocatalysts with excellent recycling features for degrading high-concentration dyes. Herein, a novel CoCrFeO4 oxide nanoparticles have customarily been synthesized by the combination of three metals (Co, Cr and Fe) via co-precipitation method in aqueous solution and then millimeter-scale CoCrFeO4 oxide chitosan-composite beads (CoCrFeO4-CB) were prepared by incorporating the CoCrFeO4 in chitosan polymer in basic medium, which makes the adsorbent easier to separate. The number of optimized nanocomposite beads used for the removal of high-concentration dyes displays 5-time photoactivity enhancement under sun-light irradiation compared to pristine CoCrFeO4. Based on the fluorescence spectra related to the formed OH amounts, temperature-programmed desorption and electrochemical results, it is deduced that the unprecedented photocatalytic activities are mainly attributed to the large surface area, and enhanced charge separation from the chitosan as well as its promotion effects on O2 activation. Influencing factors that effect the photocatalytic efficiency of dyes, such as catalyst dose, dyes concentration, time, and the light source was also studied. More importantly, after five catalytic cycles, no evident deactivation was observed, suggesting the satisfactory stability of the investigated photocatalyst. Also, large numbers of superoxides radicals form which is the main active species participate in the degradation of acid black were analyzed using a radical trapping experiment. It is expected that our work could render navigated information for steering toward the design and applications of the CoCrFeO4-based photocatalyst with sun-light utilization for environmental remediation.

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This study demonstrates how field employees' perceived threat of terrorism (PTT) is magnified by the incompatibility between role demand (travel and work outdoors) and resources (terrorism-endangered environment). With a foundation in the conservation of resources perspective and transactional theory of stress, a theoretical framework was proposed to test the mediating effect of role ambiguity (RA) and role conflict (RC) in the relationship between PTT and emotional exhaustion (EE). An approach involving confirmatory factor analysis and the structural equation was used for analysis. Data from 432 pharmaceutical sales representatives indicate a significant positive relationship between PTT and EE, while RA and RC significantly mediated the relationship. The findings are potentially useful for employers in charge of field employees in high-risk regions by explaining how such groups can be provided with support to reduce their role stress and exhaustion, leading ultimately to increased satisfaction.

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INTRODUCTION: With the growth in Internet technology, online rating websites encourage patients to contribute actively in rating their physicians. These rating sites provide more information for patients, such as electronic word of mouth (eWOM) and physician trustworthiness. Although several studies in e-commerce have investigated the role of eWOM and seller trustworthiness in the consumer purchase decision-making process and the price premium for products or services, studies on the role of different information sources that reflect the service quality and delivery process in choosing a competent physician remain scarce. This research develops a two-equation model to examine the effect of different signals, i.e., patient-generated signals (PGSs) and system-generated signals (SGSs), on patient choice, which is an important predictor of physicians' economic returns. METHODS: A secondary data econometric analysis and structural modeling using 2896 physicians' real data from a publicly available online physician rating site, i.e., Healthgrades.com, were conducted using a mixed-methods approach. A hybrid text mining approach was adopted to calculate the sentiment of each review. RESULTS: We find that both PGSs and SGSs have a significant impact on patient choice at different stages of health consultation. Furthermore, disease risk negatively moderates the association between PGSs and information search, while the impact of both signals on patient willingness to pay a price premium is positively moderated by the disease risk. CONCLUSION: Our study contributes to the unified framework of signaling theory and Maslow's hierarchy of needs theory by making a clear distinction between PGSs or SGSs and their influence on patient decision-making across different disease risks. Moreover, PGSs and SGSs are two essential factors for physicians to increase their income.

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A new route to fabricate cotton cloth (CC) as easily removable substrate for the synthesis of copper nanoparticles on its surface and its utilization in a toxic dye reduction is reported herein. A 1 wt% chitosan (Chi) aqueous solution was prepared and coated onto CC surface to prepare the ions affinity Chi-CC material. The Chi-CC was then kept in copper sulphate solution with three different concentrations (0.05 M, 0.1 M and 0.2 M) to interact with Cu2+ ions through -NH and -OH functional groups of the Chi chain. After sufficient time of the Cu2+ uptake, the Chi-CC was treated with 0.1 M NaBH4 solution which turned its color indicating well organization of the adsorbed ions into Cu-nanoparticles. The bare CC, Chi-CC and Cu/Chi-CC were spectroscopically examined via scanning electron microscopy, X-ray diffractometry, energy dispersive X-ray spectroscopy and thermo-gravimetric analysis. Afterward, Cu/Chi-CC was used in the Congo red (CR) dye reduction by NaBH4 as catalyst. The performance of the amount of the catalyst and its usage in a series of similar dye reduction was evaluated.

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