Hasil untuk "Office management"

Shoeb Ahmad

Abstract Recently, there has been observed an increasing awareness within business communities on the significance of going green and adopting various environment management techniques. As the corporate world is going global, the business is experiencing a shift from a conventional financial structure to a modern capacity-based economy which is ready to explore green economic facets of business. Today, Green Human Resource Management (GHRM) has become a key business strategy for the significant organizations where Human Resource Departments play an active part in going green at the office. The paper largely focuses upon the various Green Human Resource Practices pursued by the organizations all over the world and, explains the simplified meaning of GHRM. The study also adds to the extant literature by discussing future direction of some GHRM functions. Finally, the paper suggests some potentially prolific HR initiatives for Green organizations.

J. Kim, Jeffrey H. Kozlow, B. Mittal et al.

Dimitrios Thomas, O. Deblecker, C. Ioakimidis

K. Kario, A. Nomura, N. Harada et al.

Abstract Aims Digital therapeutics is a new approach to facilitate the non-pharmacological treatment of hypertension using software programmes such as smartphone applications and/or device algorithms. Based on promising findings from a small pilot trial, the HERB Digital Hypertension 1 (HERB-DH1) pivotal trial investigated the efficacy of digital therapeutics in patients with hypertension not receiving antihypertensive medication. Methods and results This prospective, open-label, randomized controlled study was performed at 12 sites in Japan. Patients with hypertension [office systolic blood pressure (SBP) 140 to <180 mmHg and 24 h SBP ≥130 mmHg] were randomly assigned 1:1 to the digital therapeutics group (HERB system + standard lifestyle modification) or control group (standard lifestyle modification alone). The primary efficacy endpoint was the mean change in 24 h ambulatory SBP from baseline to 12 weeks; key secondary efficacy endpoints were mean changes in office and home blood pressure (BP) from baseline to 12 weeks. All analyses were conducted in the full analysis set population. Between December 2019 and June 2020, 390 patients were randomly assigned to the digital therapeutics group (n = 199) or control (n = 191) group. Between-group differences in 24-h ambulatory, home, and office SBPs at 12 weeks were −2.4 (95% confidence interval −4.5 to −0.3), −4.3 (−6.7 to −1.9), and −3.6 (−6.2 to −1.0) mmHg, respectively. No major programme-related safety events occurred up to 24 weeks. Conclusion The HERB-DH1 pivotal study showed the superiority of digital therapeutics compared with standard lifestyle modification alone to reduce 24-h ambulatory, home, and office BPs in the absence of antihypertensive medications.

Chanchal Molla, Khaled Islam, Md. Razib Hossain et al.

This study investigates the impact of metaverse platforms on electronic commerce (E-commerce) performance, focusing on customer engagement as a mediating factor. Given the challenge of low customer engagement in online shopping, it is crucial to examine how immersive technologies, such as the metaverse, affect e-commerce success. A structured online questionnaire was used to collect primary data from 300 active Metaverse users. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to assess the relationship between the adoption of the metaverse, customer engagement, and performance in e-commerce. The findings show that the extended reality has a direct positive effect on e-commerce, whereas the digital realm has an indirect positive impact on the performance through the customer engagement. Customer engagement partially mediates this relationship, highlighting that businesses can optimize the advantages of the metaverse by promoting increased user engagement and interaction. This study theoretically advances our understanding of how immersive technologies impact the evolution of online consumer behavior and online business performance. This study guides e-commerce managers to use interactive, social, and gamified features to boost engagement and loyalty.

Pharis B. Sasa, MD, Naiem Nassiri, MD

The aim of this study was to demonstrate a novel, office-based treatment of life-threatening hand arteriovenous malformations (AVMs) via Venaseal cyanoacrylate embolization. Two adult male patients with debilitating Yakes II hand AVMs underwent staged, transarterial, and direct-stick Venaseal embolization in an office-based setting over a period of 12 (7 sessions) and 8 (4 sessions) months. Technical success was 100% with no complications. Clinical success was achieved with ulcer and cardiopulmonary overload alleviation, nonrestricted restoration of hand function, and reduction in lesion volume confirmed by Doppler flow rate measurements. Interim results after 9-month follow-up revealed sustained relief with no recurrence clinically or ultrasonographically. We present a novel, office-based approach to safe, effective, and durable embolization of advanced hand AVMs using Venaseal cyanoacrylate and have found AVM nidal flow rate measurements on Doppler useful for objective assessment of AVM hemodynamics and response to treatment.

Kamber Kaşali, Özgür Fırat Özpolat, Merve Ülkü et al.

Objective: Artificial intelligence (AI) is increasingly used in medicine, including pediatric endocrinology. AI models have the potential to support clinical decision-making, patient education, and guidance. However, their accuracy, reliability, and effectiveness in providing medical information and recommendations remain unclear. The aim was to evaluate and compare the performance of four AI models, ChatGPT, Bard, Microsoft Copilot, and Pi, in answering frequently asked questions related to pediatric endocrinology. Methods: Nine questions commonly asked by parents regarding short stature in pediatric endocrinology were selected, based on literature reviews and expert opinions. These questions were posed to four AI models in both Turkish and English. The AI-generated responses were evaluated by 10 pediatric endocrinologists using a 12-item Likert-scale questionnaire assessing medical accuracy, completeness, guidance, and informativeness. Statistical analyses, including Kruskal-Wallis and post-hoc tests, were conducted to determine significant differences between AI models. Results: Bard outperformed other models in guidance and recommendation categories, excelling in directing users to medical consultation. Microsoft Copilot demonstrated strong medical accuracy but lacked guidance capacity. ChatGPT showed consistent performance in knowledge dissemination, making it effective for patient education. Pi scored the lowest in guidance and recommendations, indicating limited applicability in clinical settings. Significant differences were observed between AI models (p<0.05), particularly in completeness and guidance-related categories. Conclusion: The present study highlights the varying strengths and weaknesses of AI models in an area of pediatric endocrinology. While Bard was effective in guidance, Microsoft Copilot excelled at accuracy, and ChatGPT was informative. Future AI improvements should focus on balancing accuracy and guidance to enhance clinical decision-support and patient education. Tailored AI applications may optimize the role of AI in specialized medical fields.

D. P. Van Vuuren, D. P. Van Vuuren, B. C. O'Neill et al.

<p>Scenarios serve as a critical tool in climate change analysis, enabling the exploration of future evolution of the climate system, climate impacts, and the human system (including mitigation and adaptation actions). This paper describes the scenario framework for ScenarioMIP as part of CMIP7. The design process has involved various rounds of interaction with the research community and user groups at large. The proposal covers a set of scenarios exploring high levels of climate change (to explore high-end climate risks), medium levels of climate change (anchored to current policy), and low levels of climate change (aligned with current international agreements). These scenarios follow very different trajectories in terms of emissions, with some likely to experience peaks and subsequent declines in greenhouse gas concentrations in this century. An important innovation is that most scenarios are intended to be run, if possible, in emission-driven mode, providing a better representation of the Earth system uncertainty space. The proposal also includes plans for long-term extensions (up to 2500 AD) to study long-term impacts, climate change-related processes on long timescales, and (ir)reversibility. This proposal forms the basis for further implementation of the framework in terms of the derivation of emissions and land use pathways for use by Earth system models and additional variants for adaptation and mitigation studies.</p>

Tzung-Dau Wang, C. Chiang, T. Chao et al.

K. Kario

Out-of-office blood pressure measurement is an essential part of diagnosing and managing hypertension. In the era of advanced digital health information technology, the approach to achieving this is shifting from traditional methods (ambulatory and home blood pressure monitoring) to wearable devices and technology. Wearable blood pressure monitors allow frequent blood pressure measurements (ideally continuous beat-by-beat monitoring of blood pressure) with minimal stress on the patient. It is expected that wearable devices will dramatically change the quality of detection and management of hypertension by increasing the number of measurements in different situations, allowing accurate detection of phenotypes that have a negative impact on cardiovascular prognosis, such as masked hypertension and abnormal blood pressure variability. Frequent blood pressure measurements and the addition of new features such as monitoring of environmental conditions allows interpretation of blood pressure data in the context of daily stressors and different situations. This new digital approach to hypertension contributes to anticipation medicine, which refers to strategies designed to identify increasing risk and predict the onset of cardiovascular events based on a series of data collected over time, allowing proactive interventions to reduce risk. To achieve this, further research and validation is required to develop wearable blood pressure monitoring devices that provide the same accuracy as current approaches and can effectively contribute to personalized medicine.

Pradosh Kumar Sarangi, Pratisruti Hui, Himel Mondal et al.

ABSTRACT Background Plain language summary (PLS) are essential for making scientific research accessible to a broader audience. With the increasing capabilities of large language models (LLMs), there is the potential to automate the generation of PLS from complex scientific abstracts. This study assessed the performance of six LLM chatbots: ChatGPT, Claude, Copilot, Gemini, Meta AI, and Perplexity, in generating PLS from radiology research abstracts. Methods A total of 100 radiology abstracts were collected from PubMed. Six LLM chatbots were tasked with generating PLS for each abstract. Two expert radiologists independently evaluated the generated summaries for accuracy and readability, with their average scores being used for comparisons. Additionally, the Flesch–Kincaid (FK) grade level and Flesch reading ease score were applied to objectively assess readability. Results Comparisons of LLM‐generated PLS revealed variations in both accuracy and readability across the models. Accuracy was highest for ChatGPT (4.94 ± 0.18) followed by Claude (4.75 ± 0.31). Readability was highest for ChatGPT (4.83 ± 0.27) followed by Perplexity (4.82 ± 0.29). The Flesch reading ease score was highest for Claude (62.53 ± 10.98) and lowest for ChatGPT (40.10 ± 11.24). Conclusion LLM chatbots show promise in the generation of PLS, but performance varies significantly between models in terms of both accuracy and readability. This study highlights the potential of LLMs to aid in science communication but underscores the need for careful model selection and human oversight.

Zonglin He, Haixiao Feng, Jialin Zhang et al.

Abstract Medical Functional Experimental Science (MFES) integrates physiology, pathophysiology, and pharmacology laboratory courses into a cohesive laboratory curriculum in China’s medical education. However, limited research exists on its implementation and evolution over the past two decades. This cross-sectional study surveyed experienced teachers from China’s top 100 medical schools. A total of 89 valid responses were received. A decline in technician numbers was reported by 62.9% of schools, potentially due to equipment automation and resource reallocation. The majority of the schools accommodated fewer than 30 students per laboratory. Over the past 20 years, laboratory sizes increased in 40.5% of the schools. Regarding the ratio of human experiments to animal experiments, of the schools surveyed, 60% reported less than 1 to 6, and 12% showed 1 to 5. The study also highlights the adoption of advanced teaching equipment, such as integrated signal acquisition systems and wireless human experiment systems, which have enhanced laboratory efficiency and student engagement. Furthermore, the integration of innovative and comprehensive experiments has been instrumental in fostering critical thinking and problem-solving skills among students. Despite progress, challenges remain, including technician shortages and uneven regional resource distribution, requiring policy interventions and global benchmarking.

Boyuan Lu, Wei Wang, Nick Jordan et al.

Understanding coastal geomorphic change is essential for advancing the United Nations Sustainable Development Goals (SDGs) through a multi-scale coastal management framework. In particular, characterization of coastal geomorphic change across multiple spatial and temporal scales can provide essential insights and context-specific knowledge that can inform and empower local communities. In this study, we present a multi-scale assessment of coastal geomorphic change in southwestern Lake Michigan in the Laurentian Great Lakes. Three spatial scales: county, reach, and transect and two temporal scales: long-term and short-term were examined using nine sets of historical aerial imagery spanning 1937 to 2020. The site-averaged long-term (1937-2020) change rates for the bluff crest, bluff toe, and shoreline were -0.22, -0.17, and -0.16 m/year, respectively. In the short term (1995-2020), the corresponding rates were -0.22, -0.15, and -0.32 m/year, indicating an increasing shoreline erosion in recent years. The coastal geomorphic changes at county, reach, and transect scales were further characterized, showing regional and localized distributions of coastal erosion in our study sites. The mechanisms driving coastal change,particularly wave impacts, were also examined to assess their correlation with coastal geomorphic change across different spatial scales. The results indicate that wave impacts influence coastal environments at certain scales more strongly than at others. Several erosion "hotspots" were examined to identify local factors contributing to severe site-specific erosion. Lastly, the spatial uniformity of coastal geomorphology was examined between the county and reach scales. Overall, the findings suggest that multi-scale analyses provide a valuable insight for effective management of coastal geomorphology.

Jiaquan Nicholas Chen, Marcel Ausloos

There are many misconceptions around stock prices, stock splits, shareholders, investors, and managers behaviour about such informations due to a number of confounding factors. This paper tests hypotheses with a selected database, about the question ''is stock split attractive for companies?'' in another words, ''why companies split their stock?'', ''why managers split their stock?'', sometimes for no benefit, and ''why shareholders agree with such decisions?''. We contribute to the existing knowledge through a discussion of nine events in recent (selectively chosen) years, observing the role of information asymmetries, the returns and traded volumes before and after the event. Therefore, calculating the beta for each sample, it is found that stock splits (i) affect the market and slightly enhance the trading volume in a short-term, (ii) increase the shareholder base for its firm, (iii) have a positive effect on the liquidity of the market. We concur that stock split announcements can reduce the level of information asymmetric. Investors readjust their beliefs in the firm, although most of the firms are mispriced in the stock split year.

Hae-Young Lee, Jinho Shin, G. Kim et al.

The standardized techniques of blood pressure (BP) measurement in the clinic are emphasized and it is recommended to replace the mercury sphygmomanometer by a non-mercury sphygmomanometer. Out-of-office BP measurement using home BP monitoring (HBPM) or ambulatory BP monitoring (ABPM) and even automated office BP (AOBP) are recommended to correctly measure the patient’s genuine BP. Hypertension (HTN) treatment should be individualized based on cardiovascular (CV) risk and the level of BP. Based on the recent clinical study data proving benefits of intensive BP lowering in the high risk patients, the revised guideline recommends the more intensive BP lowering in high risk patients including the elderly population. Lifestyle modifications, mostly low salt diet and weight reduction, are strongly recommended in the population with elevated BP and prehypertension and all hypertensive patients. In patients with BP higher than 160/100 mmHg or more than 20/10 mmHg above the target BP, two drugs can be prescribed in combination to maximize the antihypertensive effect and to achieve rapid BP control. Especially, single pill combination drugs have multiple benefits, including maximizing reduction of BP, minimizing adverse effects, increasing adherence, and preventing cardiovascular disease (CVD) and target organ damage.

Na Luo, Zhe Wang, David H. Blum et al.

This paper presents the curation of a monitored dataset from an office building constructed in 2015 in Berkeley, California. The dataset includes whole-building and end-use energy consumption, HVAC system operating conditions, indoor and outdoor environmental parameters, as well as occupant counts. The data were collected during a period of three years from more than 300 sensors and meters on two office floors (each 2,325 m 2 ) of the building. A three-step data curation strategy is applied to transform the raw data into research-grade data: (1) cleaning the raw data to detect and adjust the outlier values and fill the data gaps; (2) creating the metadata model of the building systems and data points using the Brick schema; and (3) representing the metadata of the dataset using a semantic JSON schema. This dataset can be used in various applications—building energy benchmarking, load shape analysis, energy prediction, occupancy prediction and analytics, and HVAC controls—to improve the understanding and efficiency of building operations for reducing energy use, energy costs, and carbon emissions. Measurement(s) indoor temperature • Electricity • Indoor occupancy Technology Type(s) temperature sensor • electricity use sensor • occupancy sensor Factor Type(s) building energy management • HVAC operation Sample Characteristic - Environment office building Sample Characteristic - Location United States of America

Maria Cepeda, Patrick Pham, D. Shimbo

The diagnosis and management of hypertension has been based on the measurement of blood pressure (BP) in the office setting. However, data have demonstrated that BP may substantially differ when measured in the office than when measured outside the office setting. Higher out-of-office BP is associated with increased cardiovascular risk independent of office BP. Ambulatory BP monitoring (ABPM) and home BP monitoring (HBPM) are validated approaches for out-of-office BP measurement. In the 2015 and 2021 United States Preventive Services Task Force (USPSTF) reports on screening for hypertension, ABPM was recommended as the reference standard for out-of-office BP monitoring and for confirming an initial diagnosis of hypertension. This recommendation was based on data from more published studies of ABPM vs. HBPM on the predictive value of out-of-office BP independent of office BP. Therefore, HBPM was recommended as an alternative approach when ABPM was not available or well tolerated. The 2017 American College of Cardiology (ACC)/American Heart Association (AHA) BP guideline recommended ABPM as the preferred initial approach for detecting white-coat hypertension and masked hypertension among adults not taking antihypertensive medication. In contrast, HBPM was recommended as the preferred initial approach for detecting the white-coat effect and masked uncontrolled hypertension among adults taking antihypertensive medication. The current review provides an overview of ABPM and HBPM in the US, including best practices, BP thresholds that should be used for the diagnosis and treatment of hypertension, barriers to widespread use of such monitoring, US guideline recommendations for ABPM and HBPM, and data supporting HBPM over ABPM.

Mohamed MAKKAOUI, Fatima-Zahra HANNOUN, Khalid OUAZIZI et al.

Introduction: The aim of this study was to analyze the relationship between spirituality at work and employees' psychological well-being in the Moroccan context. Methods: This cross-sectional, descriptive, and quantitative study involved a sample of 1,110 employees, of which 57.8% were men. Data were collected using an online questionnaire that included sociodemographic data, the “Spirituality at Work” scale, and the Psychological Well-being scale. Descriptive statistics and correlational analyses were utilized to analyse the data and investigate the research objectives of interest. Results: Our findings indicated a positive correlation between spirituality at work and well-being at work, with a significant impact indicated by a beta coefficient of 0.635 (p < 0.001). Among the dimensions of workplace spirituality, meaningful work emerged as a key predictor of well-being with a beta coefficient of 0.893. At the same time, a sense of community also showed a strong correlation with well-being at 0.724. The dimension of inner life had a moderate impact, reflected by a beta coefficient of 0.417. In terms of psychological well-being, dimensions such as autonomy (β = 0.363), positive relationships with others (β = 0.421), personal growth (β = 0.534), and purpose in life (β = 0.188) were all significantly associated, though purpose in life had the lowest correlation. Discussion: This study demonstrates that enhancing spirituality at work significantly contributes to employees' psychological well-being. Meaningful work and a strong sense of community are critical components of this relationship. The findings suggest that organizations should institutionalize spiritual values to foster a supportive and productive work environment, ultimately enhancing employee well-being and organizational effectiveness.

Tesfaldet Sisay

Improper open dumping of solid wastes caused different serious problems in fast-growing towns in Ethiopia like Kombolcha town. This unsuitable solid waste dumping management brings health challenges by spreading diseases, contaminating water, polluting air, and spreading of different disease-causing insects such as mosquitoes. Therefore, selecting suitable solid waste dumping site analysis (SWDSA) is very essential to minimize these negative effects related to improper solid waste dumping in such towns. The primary goal of this study is to use optical images and the AHP model to find appropriate solid waste dumping sites in Kombolcha Town. The nine governing factors such as soil texture, geology, faults, groundwater well points (GWWPs, rivers, roads, built-up, Land use land cover (LULC) and slopes, were considered to achieve the aim of this study. These factors were extracted and delineated from the various optical data such as Landsat 8 images, digital elevation model, Google Earth images, geological map, soil map, and also field survey. The factor classes and factors were ranked and weighted utilizing a comparison matrix according to importance and finally by applying the AHP spatial analysis extension tool in Arc GIS software the SWDSA map of the study area was generated. Therefore, as a result of this study about 19.4 km2 (22.8 %), 22.8 km2 (26.8 %), 20.5 km2 (24.1 %), 16.1 km2 (18.9 %), and 6.2 km2 (7.3 %) of the study area falls in not suitable, less suitable, moderately suitable, suitable and highly suitable ranges respectively. Based on the result of this further analysis, D is the 1st suitable site with a score is 83.6 %, site B is the 2nd suitable site is a score is 83.2 %, site C is the 3rd suitable site with a score of 65.1 % and site A is the last suitable site and scored 60.4 %. Therefore, this study strongly recommends that the waste management municipal office of Kombolcha town and other concerned government and non-government bodies apply and consider these identified the best suitable solid waste dumping sites.

Matthew J. Schneider, Rufus Rankin, Prabir Burman et al.

The M6 Competition assessed the performance of competitors using a ranked probability score and an information ratio (IR). While these metrics do well at picking the winners in the competition, crucial questions remain for investors with longer-term incentives. To address these questions, we compare the competitors' performance to a number of conventional (long-only) and alternative indices using standard industry metrics. We apply factor models to measure the competitors' value-adds above industry-standard benchmarks and find that competitors with more extreme performance are less dependent on the benchmarks. We also uncover that most competitors could not generate significant out-performance compared to randomly selected long-only and long-short portfolios but did generate out-performance compared to short-only portfolios. We further introduce two new strategies by picking the competitors with the best (Superstars) and worst (Superlosers) recent performance and show that it is challenging to identify skill amongst investment managers. We also discuss the incentives of winning the competition compared to professional investors, where investors wish to maximize fees over an extended period of time.