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Intelligent construction is vital for achieving new building industrialization by enhancing prefabricated buildings through integrated, digital, and intelligent management across production and construction processes. Despite its significance, detailed research on evaluating the intelligent construction management (ICM) level of prefabricated projects remains limited. This study aims to develop a comprehensive, multi-level, multi-dimensional ICM assessment system. By reviewing the literature, engaging in expert discussions, and conducting case studies—specifically using a project in Guangzhou as an example—this study employs the Analytic Hierarchy Process (AHP) and entropy weight methods to assign indicator weights. Utilizing cloud model theory, it establishes evaluation standards for intelligent construction management. This model identifies the project's ICM level, suggests practical improvement methods, and validates its applicability. This work not only advances theoretical understanding but also provides a practical framework for assessing ICM levels in prefabricated projects, thus contributing significantly to the field by offering new research perspectives and empirical evidence. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Xi'an Jiaotong University is the property of Editorial Office of Journal of Xi'an Jiaotong University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

With the development of satellite altimetry technology and the application of new altimetry satellites, the accuracy and resolution of altimeter-derived gravity field models have improved over the last decades. Nowadays, they are close enough to shipborne gravimetry. In this paper, multi-source shipborne gravity data in the South China Sea were taken to evaluate the accuracies of two high-precision altimeter-derived marine gravity field models (SS V30.1, DTU17). In these shipborne gravity data, there are dozens of routes' ship gravimetry data, obtained from the National Geophysical Data Center (NGDC); data were tracked from a marine survey with a commercial marine gravimeter (type KSS31M), and data were tracked from a marine gravimetry campaign that was conducted with a newly developed platform gravimeter (type JMG) in the South China Sea in September 2020. After various data filtering, processing, and calibrations, the shipborne gravity data were validated with crossover points analysis. Then, the processed shipborne data were employed to evaluate the accuracy of the altimeter-derived marine gravity field models. During this procedure, the quality of JMG shipborne gravity data was compared with the results of KSS31M and NGDC data. Analysis and evaluation results show that the crossover points verification accuracies of KSS31M and JMG are 0.70 mGal and 1.61 mGal, which are much better than the accuracy of NGDC, which is larger than 8.0 mGal. In the area where the bathymetry changes slowly, the root mean square error values between altimetry gravity models and KSS31M data are respectively 3.28 mGal and 4.54 mGal, and those of the JMG data are respectively 2.94 mGal and 2.60 mGal. According to the above results, we can conclude that the JMG has the same 1–2 mGal accuracy level as KSS31M and can meet the measurement requirements of marine gravity. [ABSTRACT FROM AUTHOR]

This paper proposes a multidimensional social open model to evaluate the teaching strategies adopted during the COVID-19 pandemic by assessing the decisions made by teachers by a group of teachers acting as evaluators. Based on the analysis of previous studies on teaching, this study aims to propose a formal model for the evaluation of teaching strategies in four dimensions: sustainability, usability, accessibility, and creativity. The use of information technologies to measure teaching strategies can bring decisive advantages. This work has been inspired by social rating systems of social networks to propose a measurement system in which a potential large number of evaluators with different levels assess the strategies. In addition, the proposal also includes the evaluation of the evaluators' own work, assigning confidence levels that are based on their experience but also on their evaluations. In this way, we have a social measurement system, in the sense that participation is open to a large number of evaluators. A large community of teacher evaluators will increase the objectivity of the measurement. The outcome of the system will be a characterization of the teaching strategies that will allow to decide in the future which ones should be adopted according to the needs of each one. [ABSTRACT FROM AUTHOR]

To cultivate high-quality, research-oriented, innovative talents, significant efforts have been made to develop the course resources and reform the teaching models for the graduate course “Elemental Inorganic Chemistry”. Key initiatives include reconstructing a hierarchical knowledge framework, developing multi-dimensional course resources, promoting blended teaching that combines online and offline elements, implementing comprehensive multi-dimensional assessments, and deeply integrating ideological education into the curriculum. These measures have enhanced students’ capabilities in independent learning, knowledge expansion, and interactive learning. The integrated approach of imparting knowledge, cultivating skills, and leading values has successfully raised students' overall competencies and capabilities for scientific innovation. [ABSTRACT FROM AUTHOR]

As artificial intelligence technology advances, the application of object detection technology in the field of SAR (synthetic aperture radar) imagery is becoming increasingly widespread. However, it also faces challenges such as resource limitations in spaceborne environments and significant uncertainty in the intensity of interference in application scenarios. These factors make the performance evaluation of object detection key to ensuring the smooth execution of tasks. In the face of such complex and harsh application scenarios, methods that rely on single-dimensional evaluation to assess models have had their limitations highlighted. Therefore, this paper proposes a multi-dimensional evaluation method for deep learning models used in SAR image object detection. This method evaluates models in a multi-dimensional manner, covering the training, testing, and application stages of the model, and constructs a multi-dimensional evaluation index system. The training stage includes assessing training efficiency and the impact of training samples; the testing stage includes model performance evaluation, application-based evaluation, and task-based evaluation; and the application stage includes model operation evaluation and model deployment evaluation. The evaluations of these three stages constitute the key links in the performance evaluation of deep learning models. Furthermore, this paper proposes a multi-indicator comprehensive evaluation method based on entropy weight correlation scaling, which calculates the weights of each evaluation indicator through test data, thereby providing a balanced and comprehensive evaluation mechanism for model performance. In the experiments, we designed specific interferences for SAR images in the testing stage and tested three models from the YOLO series. Finally, we constructed a multi-dimensional performance profile diagram for deep learning object detection models, providing a new visualization method to comprehensively characterize model performance in complex application scenarios. This can provide more accurate and comprehensive model performance evaluation for remote sensing data processing, thereby guiding model selection and optimization. The evaluation method proposed in this study adopts a multi-dimensional perspective, comprehensively assessing the three core stages of a model's lifecycle: training, testing, and application. This framework demonstrates significant versatility and adaptability, enabling it to transcend the boundaries of remote sensing technology and provide support for a wide range of model evaluation and optimization tasks. [ABSTRACT FROM AUTHOR]

Electric power grids are evolving into complex cyber-physical power systems (CPPSs) that integrate advanced information and communication technologies (ICTs) but face increasing cyberspace threats and attacks. This study considers CPPS cyberspace security under distributed denial of service (DDoS) attacks and proposes a nonzero-sum game-theoretical model with incomplete information for appropriate allocation of defense resources based on the availability of limited resources. Task time delay is applied to quantify the expected utility as CPPSs have high time requirements and incur massive damage DDoS attacks. Different resource allocation strategies are adopted by attackers and defenders under the three cases of attack-free, failed attack, and successful attack, which lead to a corresponding consumption of resources. A multidimensional node value analysis is designed to introduce physical and cybersecurity indices. Simulation experiments and numerical results demonstrate the effectiveness of the proposed model for the appropriate allocation of defense resources in CPPSs under limited resource availability.

Intelligent construction is vital for achieving new building industrialization by enhancing prefabricated buildings through integrated, digital, and intelligent management across production and construction processes. Despite its significance, detailed research on evaluating the intelligent construction management (ICM) level of prefabricated projects remains limited. This study aims to develop a comprehensive, multi-level, multi-dimensional ICM assessment system. By reviewing the literature, engaging in expert discussions, and conducting case studies—specifically using a project in Guangzhou as an example—this study employs the Analytic Hierarchy Process (AHP) and entropy weight methods to assign indicator weights. Utilizing cloud model theory, it establishes evaluation standards for intelligent construction management. This model identifies the project’s ICM level, suggests practical improvement methods, and validates its applicability. This work not only advances theoretical understanding but also provides a practical framework for assessing ICM levels in prefabricated projects, thus contributing significantly to the field by offering new research perspectives and empirical evidence.

Urban parks provide critical ecosystem services and satisfy residents' recreational needs. As the population ages, whether the elderly can enjoy park resources equally has become an important issue in spatial justice research. However, most research on park equity is based on accessibility evaluation at spatial scales. Insufficient attention has been paid to selectivity and convenience in accessing parks for the elderly, as well as the importance of their perceptions and preferences in park-selection decision-making. Thus, this study constructed a multidimensional model to assess park equity for the elderly that included accessibility (Ai), proximity (Pi), quality (Qi), and diversity (Di). Our analysis of Yangzhou, China, revealed the following: (1) In Yangzhou central districts, only 21.46% of the elderly in the community could have a high level of park access, while entering parks was difficult or almost impossible for them in 28.34% of the communities. (2) The demographic distribution of the elderly was complete mismatched with all four assessment dimensions, among which accessibility was the most unequal. (3) The number and types of facilities inside parks were the most important considerations for the elderly when choosing parks, and the comfort level of parks had the most influence on their decision-making. The research results aim to make targeted recommendations to ameliorate inequalities in park access for the elderly and contribute to the construction of "age-friendly" cities. [ABSTRACT FROM AUTHOR]

With the development of satellite altimetry technology and the application of new altimetry satellites, the accuracy and resolution of altimeter-derived gravity field models have improved over the last decades. Nowadays, they are close enough to shipborne gravimetry. In this paper, multi-source shipborne gravity data in the South China Sea were taken to evaluate the accuracies of two high-precision altimeter-derived marine gravity field models (SS V30.1, DTU17). In these shipborne gravity data, there are dozens of routes’ ship gravimetry data, obtained from the National Geophysical Data Center (NGDC); data were tracked from a marine survey with a commercial marine gravimeter (type KSS31M), and data were tracked from a marine gravimetry campaign that was conducted with a newly developed platform gravimeter (type JMG) in the South China Sea in September 2020. After various data filtering, processing, and calibrations, the shipborne gravity data were validated with crossover points analysis. Then, the processed shipborne data were employed to evaluate the accuracy of the altimeter-derived marine gravity field models. During this procedure, the quality of JMG shipborne gravity data was compared with the results of KSS31M and NGDC data. Analysis and evaluation results show that the crossover points verification accuracies of KSS31M and JMG are 0.70 mGal and 1.61 mGal, which are much better than the accuracy of NGDC, which is larger than 8.0 mGal. In the area where the bathymetry changes slowly, the root mean square error values between altimetry gravity models and KSS31M data are respectively 3.28 mGal and 4.54 mGal, and those of the JMG data are respectively 2.94 mGal and 2.60 mGal. According to the above results, we can conclude that the JMG has the same 1–2 mGal accuracy level as KSS31M and can meet the measurement requirements of marine gravity.

The field of human-computer interaction is expanding, especially within the domain of intelligent technologies. Scene understanding, which entails the generation of advanced semantic descriptions from scene content, is crucial for eective interaction. Despite its importance, it remains a significant challenge. This study introduces RGBD2Cap, an innovative method that uses RGBD images for scene semantic description. We utilize a multimodal fusion module to integrate RGB and Depth information for extracting multi-level features. And the method also incorporates target detection and region proposal network and a top-down attention LSTM network to generate semantic descriptions. The experimental data are derived from the ScanRefer indoor scene dataset, with RGB and depth images rendered from ScanNet's 3D scene serving as the model's input. The method outperforms the DenseCap network in several metrics, including BLEU, CIDEr, and METEOR. Ablation studies have confirmed the essential role of the RGBD fusion module in the method's success. Furthermore, the practical applicability of our method was verified within the AI2-THOR embodied intelligence experimental environment, showcasing its reliability [ABSTRACT FROM AUTHOR]

Abstract Background The global spread of Coronavirus disease (COVID-19) has led to the use of online teaching methods in universities, but the effect of online education on dermatology teaching remains unclear. Methods We designed a multi-dimensional teaching evaluation form for data collection, student teaching feedback evaluation, and assessed the scores of final theoretical and clinical skill tests, to compare the effective difference between online and offline teaching of dermatology. Results A total of 311 valid questionnaires of medical undergraduates were collected, 116 of which were enrolled for offline learning, and 195 for online learning. The average score of final theoretical test in the online teaching group had no significant difference compared with that in the offline teaching group (75.33 ± 7.37 vs.75.63 ± 7.51, P = 0.734). However, both scores of skin lesion recognition test and medical history collection test in the online teaching group were significantly lower than that in the offline teaching group (6.53 ± 0.86 vs. 7.10 ± 1.11, P

The ecological livability of a city reflects the overall civilization degree and sustainable development ability of this region. The establishment of a scientific and reasonable evaluation index system for eco-livable cities helps analyze the level of sustainable development of cities and the quality of life of residents, thus promoting high-quality development of cities. However, few scholars construct a universal evaluation index system for eco-livable cities from synergistic perspective. This paper establishes a multidimensional evaluation index system based on the Theory of Synergism of Five Laws (considering five aspects of economy, society, technology, environment and nature) and analyzes the trends of the evaluation value and coupling coordination degree of five systems in Beijing from 2010 to 2021 by using the systematic methods of a five-law analysis and a five-law synergy integration included in the Theory of Synergism of Five Laws, respectively. The results show that the ecological livability of Beijing generally maintains an upward trend and reaches a well-coordinated level in 2021, but the development level of each system is constrained by different factors. Based on the above results, this paper proposes policy recommendations to improve the ecological livability of cities in combination with the comprehensive model of policy-oriented coupling of multiple subjects to promote the coupling of five systems, with a view to providing references for decision-making in building an eco-livable city. [ABSTRACT FROM AUTHOR]

Background: The present paper aims at evaluating the potential benefits of high-energy devices (HEDs) in the Italian surgical practice, defining the comparative efficacy and safety profiles, as well as the potential economic and organizational advantages for hospitals and patients, with respect to standard monopolar or bipolar devices. Methods: A Health Technology Assessment was conducted in 2021 assuming the hospital perspective, comparing HEDs and standard monopolar/bipolar devices, within eleven surgical settings: appendectomy, hepatic resections, colorectal resections, cholecystectomy, splenectomy, hemorrhoidectomy, thyroidectomy, esophago-gastrectomy, breast surgery, adrenalectomy, and pancreatectomy. The nine EUnetHTA Core Model dimensions were deployed considering a multi-methods approach. Both qualitative and quantitative methods were used: (1) a systematic literature review for the definition of the comparative efficacy and safety data; (2) administration of qualitative questionnaires, completed by 23 healthcare professionals (according to 7-item Likert scale, ranging from − 3 to + 3); and (3) health-economics tools, useful for the economic evaluation of the clinical pathway and budget impact analysis, and for the definition of the organizational and accessibility advantages, in terms of time or procedures' savings. Results: The literature declared a decrease in operating time and length of stay in using HEDs in most surgical settings. While HEDs would lead to a marginal investment for the conduction of 178,619 surgeries on annual basis, their routinely implementation would generate significant organizational savings. A decrease equal to − 5.25/−9.02% of operating room time and to − 5.03/−30.73% of length of stay emerged. An advantage in accessibility to surgery could be hypothesized in a 9% of increase, due to the gaining in operatory slots. Professionals' perceptions crystallized and confirmed literature evidence, declaring a better safety and effectiveness profile. An improvement in both patients and caregivers' quality-of-life emerged. Conclusions: The results have demonstrated the strategic relevance related to HEDs introduction, their economic sustainability, and feasibility, as well as the potentialities in process improvement. [ABSTRACT FROM AUTHOR]

Background: The global spread of Coronavirus disease (COVID-19) has led to the use of online teaching methods in universities, but the effect of online education on dermatology teaching remains unclear. Methods: We designed a multi-dimensional teaching evaluation form for data collection, student teaching feedback evaluation, and assessed the scores of final theoretical and clinical skill tests, to compare the effective difference between online and offline teaching of dermatology. Results: A total of 311 valid questionnaires of medical undergraduates were collected, 116 of which were enrolled for offline learning, and 195 for online learning. The average score of final theoretical test in the online teaching group had no significant difference compared with that in the offline teaching group (75.33 ± 7.37 vs.75.63 ± 7.51, P = 0.734). However, both scores of skin lesion recognition test and medical history collection test in the online teaching group were significantly lower than that in the offline teaching group (6.53 ± 0.86 vs. 7.10 ± 1.11, P < 0.001; 6.70 ± 1.16 vs. 7.62 ± 0.85, P < 0.001). Additionally, the scores of understanding skin lesions in the online teaching group were significantly lower than that in the offline group (P < 0.001), and the scores of overall understanding of skin diseases and evaluating their learning mode in the online teaching group also decreased (P < 0.05). Among the 195 students enrolled in the online learning group, 156 students (80.0%) recognized that the time of offline teaching should be increased. Conclusions: Both online and offline education can be used in dermatology theory teaching, but online education is less efficient in skin lesion and practical skills learning. More online teaching software with skin diseases characteristic should be developed to improve the online teaching effect. [ABSTRACT FROM AUTHOR]

Copyright of Annali di Igiene, Medicina Preventiva e di Comunità is the property of Societa Editrice Universo s.r.l. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Pollutant discharge causing the deterioration of the watershed environment has seriously threatened human health and ecosystem function. The importance of improving the risk warning system is becoming more and more prominent. Traditional chemical risk assessment methods focused on toxicity and the exposure of pollutants without considering the impact of persistent pollutants in different environmental media. In this study, a new approach was proposed to reflect multi-dimensional evaluation with a synthetic risk factor (SRF) of pollutants. The integrating parameters of SRF include toxicity endpoint values, environmental exposure level, persistent properties, and compartment features. Selected pesticides, perfluorinated compounds, organophosphate esters and endocrine disruptors were analyzed by the proposed and traditional methods. The results showed a higher risk outcome using SRF analysis for PFOS, imazalil, testosterone, androstenedione and bisphenol A, which were different from those obtained by the traditional method, which were consistent with existing risk management. The study demonstrated that the SRF method improved the risk assessment of various pollutants in different environmental media in a more robust fashion, and also provided a more accurate decision basis for ecological environment protection. [ABSTRACT FROM AUTHOR]

The challenges of sustainable development are mainly concentrated in the cities. Therefore, they represent a key place for implementing strategies and actions to achieve (or not achieve) sustainable development objectives. In this perspective, the circular city model represents a new way of organizing the city. As demonstrated by a variety of best practices, the entry points for triggering circular processes at the urban scale are various. In this paper, cultural heritage is presented as the entry point for the implementation of this new urban development model. The focus here is on the implementation tools, with a particular emphasis on the evaluation tools for assessing the effectiveness and efficiency of this model, that is, the multidimensional benefits that it can produce. The Level(s) tool, proposed by the European Commission in 2017, is the only officially recognised assessment tool related to the circular economy at the European level. It aims to evaluate the performance of new buildings from a circular economy perspective. This paper intends to expand the field of action of the aforementioned tool to projects related to cultural heritage. Nevertheless, the Level(s) tool has some weaknesses in relation to values and attributes that need to be considered when dealing with cultural heritage. This paper proposes an evaluation framework for assessing cultural heritage renovation and reuse projects, considering all its values and the multidimensional impacts that they are able to produce (economic, social, environmental impacts) in the city. The starting point for the development of the proposed evaluation framework is the Level(s) tool by the European Commission. On the basis of critical considerations, this tool is integrated with criteria and indicators deduced from other previous studies and other official tools on this issue (Green Building Council and Heritage Impact Assessment tools). The evaluation framework is here tested to evaluate the renovation/reuse project of Villa Vannucchi, a historic building located in the city of San Giorgio a Cremano in the metropolitan city of Naples (Italy). [ABSTRACT FROM AUTHOR]

The clean energy transition is crucial for achieving China's double-carbon goal. With the promulgation of a series of policies, analyzing the energy policies in this policy framework is essential. This paper identifies 32 current effective and representative energy policies through collection and screening. After establishing a Policy Modeling Consistency (PMC) index, this paper designs the corresponding text-mining dictionary through the TF-IDF algorithm and uses regular expressions to retrieve, filter, and match policy texts. The results show that the average PMC score of all policies selected in this paper is 5.23, and the overall PMC surface is relatively smooth. The scores of primary variables are relatively balanced. For the future, it is essential to focus on optimizing utility level (P 3), policy type (P 5), policy receptors (P 8), and policy areas (P 9) in energy policy formulation. Most importantly, the social network density of energy policy issuers is low now; thus, diversity and close cooperation need to be strengthened. • The PMC-index model for energy policy in the "double-carbon" policy framework has been established. • A Text mining dictionary is built based on TF-IDF algorithm. • The social network of energy policy issuing subjects has been thoroughly analyzed. [ABSTRACT FROM AUTHOR]

To address the challenge of the absence of automated design and evaluation methods encompassing both functional and emotional analysis in product form bionic design (PFBD), this study introduces a novel affective PFBD method based on functional analysis. Firstly, the target product, target emotion and target creature are identified through questionnaire surveys and statistical analysis. Elliptical Fourier analysis and principal component analysis are employed to parameterize the shape outlines of the target products and creature, yielding principal component score data capturing their shape features. Secondly, product form and biological shape are fused by utilizing a proposed fusion generation operator to generate diverse PFBD conceptual schemes. Finally, a comprehensive multi-dimensional evaluation method, incorporating the functional analysis model, bionic evaluation model and emotional evaluation model, is formulated to assess the conceptual schemes and identify the optimal scheme. To validate the feasibility and effectiveness of the proposed method, it is applied to the automated generative design and evaluation of water cup shapes. The outcome reveals the identification of an optimal solution that not only satisfies the functional requirements of the product but also addresses user emotional needs. The results underscore the method's outstanding performance in PFBD involving both functional and emotional analysis, establishing it as an effective tool for designers to efficiently generate a variety of solutions, thereby ensuring the rationality and scientific foundation of product design. [ABSTRACT FROM AUTHOR]

Evaluating park equity can help guide the advancement of sustainable and equitable space policies. Previous studies have mainly considered accessibility when evaluating park equity while ignoring the selectivity and convenience of entering parks and residents' recognition of parks. Measuring equity based mainly on spatial thinking has resulted in the social aspects of parks receiving insufficient attention. In this study, we therefore integrated the spatial and social equity of parks and developed a multidimensional framework to evaluate park equity in four dimensions: accessibility (Ai), diversity (Di), convenience (Ci), and satisfaction (Si). Empirical analysis from Yangzhou, China showed that: (1) in Yangzhou's built-up districts, 23.43% of the communities received high- or relatively high-level park access but 17.72% received little or no park access. (2) The Gini coefficient indicated that all three dimensions showed a mismatch with population distribution, except for satisfaction (Si), which showed a relatively reasonable match. (3) Park access was generally better in communities with better locations, environments, and facilities. High-income groups enjoyed significantly better park access than low- and middle-income groups. These findings could help urban planners and policymakers develop effective policies to reduce inequality in park access. [ABSTRACT FROM AUTHOR]

We appreciate that Dr. Zulfiqar showed us that they had already demonstrated the validity and reliability of his ZFS scale. Still, it is evident that, in our paper, we could not take it for granted because all the articles they quote have been published after we handed out ours to the Managing Editor of Ann Ig. [ABSTRACT FROM AUTHOR]

Many of the current fuzzy sets based on intuitionistic fuzzy concepts suffer from different limitations. Different approaches towards that end in the form of scientific works have been introduced, and many other fuzzy sets were extended to address such limitations. In this study, the Cubic Pythagorean fuzzy sets (CPFS) are introduced as one of the proposed solutions and among the most powerful tools to address uncertainty, especially in complex and difficult situations by using both interval-valued Pythagorean fuzzy set and Pythagorean fuzzy set to represent vagueness or ill-defined information. Considering all the merits of CPFS and its flexibility, this study aimed to integrate it with two profound multi-criteria decision-making methods. Fuzzy-weighted zero-inconsistency (FWZIC) and decision by opinion score method (FDOSM) are both extended based on CPFS, called CP-FWZIC and CP-FDOSM. Two methodological phases are performed in two phases. The first phase discusses all the necessary CP-FWZIC steps to determine the evaluation criteria weights, followed by alternatives ranking using CP-FDOSM. The second phase discusses a case study used in this research for sign language recognition systems. Finally, two methods were used to assess the extended multi-criteria decision-making methods, namely, systematic ranking assessment and sensitivity analysis. The assessment findings suggest that the ranking results are supported by both systematic ranking and high correlation results which were performed using different criteria weight-changing scenarios. [ABSTRACT FROM AUTHOR]

The incidence of elderly patients who come to the emergency room is progressively increasing. The specialization of the physician units might not be adequate for the evaluation of this complexity. The present study aimed to present a standard procedure, called 'The Geriatric Frailty Network', operating at the Policlinico Gemelli IRCCS Foundation, which is configured specifically for the level II assessment of frail elderly patients. This was a retrospective study in 1191 patients aged over 65, who were evaluated by the Geriatric Frailty Unit directly after emergency department admission for one year. All patients underwent multidimensional geriatric evaluation. Data were collected on demographics, co-morbidity, disease severity, and Clinical Frailty Scale. Among all patients, 723 were discharged directly from the emergency room with early identification of continuity of care path. Globally, 468 patients were hospitalized with an early assessment of frailty that facilitated the discharge process. The geriatric frailty network model aims to assist the emergency room and ward doctor in the prevention of the most common geriatric syndromes and reduce the number of incongruous hospitalizations. [ABSTRACT FROM AUTHOR]

The quality requirements of Corydalis Rhizoma (CR) in different producing areas are uniform, resulting in uneven efficacy. As a genuine producing area, the effective quality control of CR in Zhejiang Province (ZJ) could provide a theoretical basis for the rational application of medicinal materials. The purpose of this study was to effectively distinguish the CR inside and outside ZJ, and provided a theoretical basis for the quality control and material basis research of ZJ CR. The core components of ZJ CR could be identified by HPLC combined with chemometrics screening, and the quality of CR from different producing areas was evaluated by a genetic algorithm-back propagation (GA-BP) neural network. Chromaticity and near-infrared (NIR) spectroscopy were used to identify CR inside and outside ZJ, and rapid content prediction was realized. The analgesic effect of CR in different regions was compared by a zebrafish analgesic experiment. Analgesic experiments in rats and analysis of the research status of quality components were used to screen the quality control components of ZJ CR. The contents of palmatine hydrochloride (YSBMT), dehydrocorydaline (TQZJJ), tetrahydropalmatine (YHSYS), tetrahydroberberine (SQXBJ), corydaline (YHSJS), stylopine (SQHLJ), and isoimperatorin (YOQHS) in ZJ CR were higher than those in CR from outside ZJ, but the content of protopine (YAPJ) and berberine hydrochloride (YSXBJ) was lower than that in CR from outside ZJ. YHSJS and SQHLJ could be used as the core components to identify ZJ CR. The GA-BP neural network showed that the relative importance of ZJ CR was the strongest. Chroma-content correlation analysis and the NIR qualitative model could effectively distinguish CR from inside and outside of ZJ, and the NIR quantitative model could quickly predict the content of CR from inside and outside of ZJ. Zebrafish experiments showed that ZJ, Shaanxi (SX), Henan (HN), and Sichuan (SC) CR had significant analgesic effects, while Hebei (HB) CR had no significant analgesic effect. Overall comparison, the analgesic effect of ZJ CR was better than that of CR outside ZJ. The comprehensive score of the grey correlation degree between YAPJ, YSBMT, YSXBJ, TQZJJ, YHSYS, YHSJS, SQXBJ, and SQHLJ were higher than 0.9, and the research frequency were extremely high. The relative importance of the content and origin of most components of ZJ CR was higher than that of CR outside ZJ. The holistic analgesic effect of ZJ CR was better than that of CR outside ZJ, but slightly lower than that of SX CR. YHSJS and SQHLJ could be used as the core components to identify ZJ CR. YAPJ, YSBMT, YSXBJ, TQZJJ, YHSYS, SQXBJ, YHSJS, and SQHLJ could be used as the quality control components of ZJ CR. The multidimensional evaluation method used in this study provided a reference for the quality control and material basis research of ZJ CR. [Display omitted] • The quality index components protopine, palmatine hydrochloride, berberine hydrochloride, dehydrocorydaline, tetrahydropalmatine, corydaline, tetrahydroberberine and stylopine of Corydalis Rhizoma from Zhejiang Province were screened out. • The core components corydaline and stylopine that can identify Corydalis Rhizoma inside and outside Zhejiang Province were screened out. • Through the multi-dimensional evaluation model, the comparative study of Corydalis Rhizoma from Zhejiang Province and other producing areas outside Zhejiang Province was carried out, and a number of quality control indicators and methods suitable for Corydalis Rhizoma from Zhejiang Province were summarized, which provided a reference for the quality research of Corydalis Rhizoma from Zhejiang Province. [ABSTRACT FROM AUTHOR]

Pollutant discharge causing the deterioration of the watershed environment has seriously threatened human health and ecosystem function. The importance of improving the risk warning system is becoming more and more prominent. Traditional chemical risk assessment methods focused on toxicity and the exposure of pollutants without considering the impact of persistent pollutants in different environmental media. In this study, a new approach was proposed to reflect multi-dimensional evaluation with a synthetic risk factor (SRF) of pollutants. The integrating parameters of SRF include toxicity endpoint values, environmental exposure level, persistent properties, and compartment features. Selected pesticides, perfluorinated compounds, organophosphate esters and endocrine disruptors were analyzed by the proposed and traditional methods. The results showed a higher risk outcome using SRF analysis for PFOS, imazalil, testosterone, androstenedione and bisphenol A, which were different from those obtained by the traditional method, which were consistent with existing risk management. The study demonstrated that the SRF method improved the risk assessment of various pollutants in different environmental media in a more robust fashion, and also provided a more accurate decision basis for ecological environment protection.

The challenges of sustainable development are mainly concentrated in the cities. Therefore, they represent a key place for implementing strategies and actions to achieve (or not achieve) sustainable development objectives. In this perspective, the circular city model represents a new way of organizing the city. As demonstrated by a variety of best practices, the entry points for triggering circular processes at the urban scale are various. In this paper, cultural heritage is presented as the entry point for the implementation of this new urban development model. The focus here is on the implementation tools, with a particular emphasis on the evaluation tools for assessing the effectiveness and efficiency of this model, that is, the multidimensional benefits that it can produce. The Level(s) tool, proposed by the European Commission in 2017, is the only officially recognised assessment tool related to the circular economy at the European level. It aims to evaluate the performance of new buildings from a circular economy perspective. This paper intends to expand the field of action of the aforementioned tool to projects related to cultural heritage. Nevertheless, the Level(s) tool has some weaknesses in relation to values and attributes that need to be considered when dealing with cultural heritage. This paper proposes an evaluation framework for assessing cultural heritage renovation and reuse projects, considering all its values and the multidimensional impacts that they are able to produce (economic, social, environmental impacts) in the city. The starting point for the development of the proposed evaluation framework is the Level(s) tool by the European Commission. On the basis of critical considerations, this tool is integrated with criteria and indicators deduced from other previous studies and other official tools on this issue (Green Building Council and Heritage Impact Assessment tools). The evaluation framework is here tested to evaluate the renovation/reuse project of Villa Vannucchi, a historic building located in the city of San Giorgio a Cremano in the metropolitan city of Naples (Italy).

The objective of this study was to analyze the evidence of external, discriminant and diagnostic validity of the Multidimensional Anxiety Scale (EMA; Díaz Kuaik & de la Iglesia, 2017). A sample of 177 subjects between 18 and 78 years old participated, of which 68.9% belonged to the general population and 31.1% to the clinical population. External validity was examined through a concurrent study with STAI-R and ISRA and a study by contrasting groups. The correlations found between the different scales mentioned allow EMA to be considered as a good substitute for these, which provides new information to that obtained by said external criteria (r=.80 and .75, p<.001). The differences in anxiety levels found between the clinical and general sample (p<.001) show the EMA's ability to discriminate between both populations. The diagnostic validity was determined using the ISRA as a reference criterion at three cut-off points that differentiate different levels of anxiety, reporting a significant agreement between these (p<.005). The discriminant validity was examined through a correlational study with the BDI-II. The results were consistent with those found in other measures of anxiety (r=.74, p<.001), which raises the need to review the validity of these constructs. The accumulated evidence allows us to conclude that the EMA has adequate external validity evidence to be used as an updated and multidimensional measure of anxiety. It also offers tentative cut points to differentiate different levels of anxiety. [ABSTRACT FROM AUTHOR]

The practice of strategies for rapid weight loss (RWL) involve diverse factors, such as individual expectations, social interactions, structural elements, etc., conforming to a “culture” of RWL, which must be evaluated and understood in a broad sense. Based on the need of a comprehensive evaluation of the use of RWL in practitioners of combat sports, an ad hoc questionnaire designed for this study, which includes the types and detailed descriptions of RWL strategies, that athletes currently use, the prevalence and frequency of use, the physiological and psychological consequences, the perception of the effect of RWL on their own performance and finally, the individuals who influence the adoption of this practice. One hundred and sixty combat athletes from wrestling and taekwondo disciplines, from Mexico, filled out this questionnaire. Data collected for their statistical analyses. Results revealed a RWL strategies prevalence of 96% across the participants. Our results revealed that 57% of those athletes using RWL lose more than 5% of their body mass. Across the athletes, the most commonly used RWL strategies and with higher intensity were increased exercise and training with plastic or thick clothes. The greater the relative weight loss, the greater the presence of physiological symptoms in athletes, such as rapid breathing and blood pressure. Athletes also mentioned mood states such as tiredness, sadness, confusion, fatigue and vigor, these last two positive and negative mood states are associated with the relative weight loss, respectively. Finally, the people who most influenced the adoption of RWL strategies were the coaches, parents and nutritionists. In conclusion, the questionnaire prepared for this study allowed us to obtain valuable information about the several factors, and their interactions, involved in the practice of RWL in combat athletes. This type of practice could increase health risks and decrease their performance. Therefore, here we state the importance of a comprehensive evaluation of RWL strategies that allows the development of psycho-educational and social-based interventions and programs for the promotion of proper weight maintenance, and prevention against RWL strategies, involving the individuals who influence the adoption of these practices and supporting it with the help of communication technologies.

Once read the paper by Formosa et al in Ann Ig 2022 Mar 18. Online ahead of print, where the Authors ask for more studies to assess validity and reliability of the short tool to evaluate frailty proposed by me, through this letter I intend to demonstrate that its validity and reliability have been proved by a series of applications already published in the last past months. [ABSTRACT FROM AUTHOR]

This study aimed to investigate the treatment outcomes of arytenoid dislocation by a multidimensional evaluation. From April 2010 to May 2018, the records of 57 patients with a history of arytenoid dislocation were reviewed. All the patients were treated with closed reduction under local anesthesia. Arytenoid motion, grade, roughness, breathiness, asthenia, strain, maximum phonation time, self-assessed Voice Handicap Index, and acoustic voice analysis were used to evaluate the clinical outcomes. Following closed reduction, 57 patients were divided into "recovered" (n = 24), "improved" (n = 15), and "ineffective" (n = 18) groups. There were no major complications resulting from surgical intervention. Closed reduction under local anesthesia continues to be an effective and well-tolerated method for treating arytenoid dislocation. The trichotomy of the treatment results of arytenoid dislocation by a multidimensional evaluation may be more accurate to evaluate the results of arytenoid dislocation. [ABSTRACT FROM AUTHOR]

Acute pancreatitis is a dynamic inflammatory condition of the pancreas with a spectrum ranging from mild to severe. Early and accurate assessment of disease severity is crucial for guiding clinical management and improving patient outcomes. This comprehensive review explores the role of radiological and biochemical parameters in assessing the severity of acute pancreatitis. Radiological imaging modalities, including computed tomography (CT), magnetic resonance imaging (MRI), and ultrasound (US), play a pivotal role in identifying key features, such as pancreatic necrosis and peripancreatic fluid collections, indicative of severe disease. Additionally, serum markers such as amylase, lipase, and C-reactive protein (CRP) provide valuable prognostic information and aid in risk stratification. Integrating radiological and biochemical parameters allows for a multidimensional evaluation of disease severity, enabling clinicians to make informed decisions regarding patient management. Early identification of severe cases facilitates timely interventions, including intensive care monitoring, nutritional support, and potential surgical interventions. Despite significant advancements in the field, there remain areas for further research, including the validation of emerging imaging techniques and biomarkers and the exploration of personalized management approaches. Addressing these research gaps can enhance our understanding of acute pancreatitis and ultimately improve patient care and outcomes., Competing Interests: Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following: Payment/services info: All authors have declared that no financial support was received from any organization for the submitted work. Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work. Other relationships: All authors have declared that there are no other relationships or activities that could appear to have influenced the submitted work., (Copyright © 2024, Bikkumalla et al.)

The fragility of the Italian territory, due both to the particular morphological conformation of the emerged lands and to their relatively young geological structure, to an unfortunate governance system that has been implemented in the last forty years which has encouraged soil consumption while reducing the resources for maintenance, contributes greatly to making devastating the effects of natural phenomena on the ground. The ordinary management of the territory and the securing of security are today two fundamental themes of the political debate, since they can significantly influence not only the protection of human life but also the reduction of public spending. The problem of emergency planning can therefore assume a preponderant position compared to that of the traditional urban plan. If the priority need today is to guarantee citizens a safe territory, then even the urban transformations can be directly influenced by it or even subordinated. It is therefore necessary to introduce a new approach to the old land management model, in which the discipline of economic and strategic evaluation must be given priority, capable of efficiently and effectively distributing the resources destined to mitigate the vulnerability conditions of the territory.

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The main aims of this study are to explore the psychosocial and neuropsychological state of health of immigrant patients with chronic disease in Italy, and the development of a first multidimensional neuropsychological screening model for the immigrant population, to promote the validation of a standardized set of tests for populations with different cultural backgrounds. A total of 80 chronic patients were enrolled in the study, including 44 regular immigrant patients and 36 Italian patients (control sample). The multidimensional screening was administered only to participants who demonstrated an adequate level of understanding and production of the Italian language and it was based on three sections: (i) psychosocial evaluation, (ii) neuropsychological assessment and (iii) a semi-structured interview. The first section includes psychosocial scales aimed at investigating basic language skills, health status, perceived social support, the degree of daily perceived discrimination, the socio-economic status and the presence of comorbidity with other clinical disorders. The second section consists of a battery of neuropsychological tests evaluating global cognitive functioning. The semi-structured interviews were recorded and analysed with the method of the agreement between the judges. Psychosocial findings showed that chronic immigrant patients are significantly younger than Italians, perceive greater discrimination and less social support, especially by the family, than Italian patients. Neuropsychological data showed that the chronic immigrant sample appears to be cognitively vulnerable, particularly in short-term auditory-verbal memory and non-verbal abstract reasoning, compared to the Italian sample. The analysis of the interviews reveals some differences were found for the topics referred by all patients, such as, the experience within the outpatient and/or hospital services, that the foreign chronic sample describes as better than the Italian sample. [ABSTRACT FROM AUTHOR]

This paper focuses on revealing the anisotropy of surface integrity and wear resistance of high-speed ball-end milled surfaces of hardened cold work die steel AISI D2. Dry milling tests were performed on a five-axis high-speed machining center by using a two-edged coated solid carbide ball-end milling cutter. Then, wear resistance of a hard milled surface was evaluated through block-on-ring wear tests under unlubricated condition. Results showed that ball-end milled surfaces present anisotropic characteristics in terms of surface topography, subsurface microhardness, and yield strength. Moreover, the wear resistance for ball-end milled surfaces shows dependence on sliding direction because of the anisotropy of surface integrity. Benefiting from surface work hardening, wear loss for the hard milled surface was at least 62% less than that for polished ones in the initial wear stage (10 min). However, the subsurface softening zone induced by a high-speed hard milling process has poor wear resistance due to the decrease of microhardness and yield strength. This study indicates the necessity of multidimensional evaluation for high-speed ball-end milled surfaces and the possibility of improving wear behavior by selecting appropriate sliding direction. [ABSTRACT FROM AUTHOR]

Between 2013 and 2015 the Italian Ministry of Labour and Social Policy run an experimental anti-poverty measure in 12 metropolitan areas. The measure provided an income support to households with children (mainly households with low-income and low work intensity) according to a conditional cash transfer scheme and was designed in view of the implementation of the new national measure to fight poverty. In this context, to assessing the improvement of children's well-being the INAPP Social Inclusion Research group proposed to include a child-centered approach, adapting the MACaD questionnaire (Multidimensional Analysis of Capabilities Deprivation) to the characteristics of children aged 8 through 13 and adolescents aged 14 through 17. The questionnaire was applied to 171 children and 92 adolescents and a set of tools was designed with the aim to measure children's and adolescents' emotional well-being. In particular, the tools are: - a Children standard well-being index, based on the system of children's rights; − a Children's Emotional Well-Being scale; − an Adolescent's Emotional Well-Being scale. This paper describe: (i) the Children Standard Well-Being index; (ii) the psychometric and factorial characteristics (through Exploratory and Confirmatory Factor Analysis) of the scales for assessing Children's Emotional Well-Being and Adolescents' Emotional Well-Being; (iii) the results obtained from the application of the scales; (iv) the comparative verification of the results obtained from the application of the scales, carried out by analysing the data of the International Survey of Children's Well-Being. [ABSTRACT FROM AUTHOR]

Multi-energy complementary comprehensive energy systems based on renewable energy can reliably meet the energy needs of communities and significantly mitigate carbon emissions. This is of paramount significance in the establishment of low-carbon sustainable communities. The effective operation of an integrated energy system necessitates a thorough examination of demand-side load, the dynamic performance of the energy supply system, the configuration of energy storage systems, local electricity pricing policies, and operational or control strategies for the system. It confronts substantial challenges in practical application. Considering the noteworthy performance variations of comprehensive energy systems under diverse demand-side load, fluctuating electricity prices, and various operating modes of energy storage equipment, this paper initially conducts a practical analysis of demand-side load. A comprehensive energy system with multi-energy complementary based on source-load-storage coordination (SLS-CES) model was constructed. From the perspective of system operation strategy, we identify the current electricity consumption pattern in the region, characterized by peak and valley periods. We integrate this information with the time-of-use electricity pricing policy and the equipment within the target area. An operation strategy based on local time-of-use electricity price policy was proposed. An in-depth analysis of the thermal performance, environmental performance, and economic performance of the system in the full-year dimension and typical daily dimension under this operating strategy was conducted. The results show that under this operation strategy, the system's annual net income is 415.90 thousand yuan, of which the system's energy storage battery power supply revenue during peak period reaches 254.40 thousand yuan. The initial investment is 5.03 million yuan, and the static investment payback period is 12.09 years. The annual primary energy saving rate of the system is 36.00%, and the maximum CO 2 emission reduction rate is 72.23%. The maximum primary energy saving rates on typical days in winter and typical days in summer are 74.74% and 97.14% respectively. The total annual CO 2 emissions were reduced by 5.47 tons and 4.54 tons respectively. Through this study, we found that a system incorporating energy storage equipment, combined with an operation strategy based on electricity price policy, can yield additional economic benefits. This approach helps alleviate peak power supply pressure on the grid and mitigates the challenges associated with the high initial investment in renewable energy systems, all while maintaining good thermal performance and environmental benefits. [ABSTRACT FROM AUTHOR]