Multidimensional Aspect Research Articles

Problems and level of satisfaction of patients during their stay in a tertiary care institute in Punjab

Patient satisfaction can be defined as the degree of congruency between a patient’s expectations of ideal care and his /her perception of the real care (s) he receives. It is a multidimensional aspect and represents a vital key marker for the quality of health care delivery.The cross-sectional study was conducted among the IPD patients in the indoor wards of SGRD Hospital which is a tertiary care hospital. A self-structured questionnaire was used to collect data. Questions regarding twelve potential problems were asked which could have been faced by the respondent during their stay in hospital.A total of 226 respondents were interviewed. 52.2% of the respondents were females and remaining (47.8%) were males. Overall satisfaction of the patients from the IPD services provided by the hospital was found to be 87.2%. Major problems faced by the respondent were difficulty in accessing the hospital (46%) and higher overall cost of treatment than expected (45.6%). Most of the respondents were satisfied with quality of food and water available (97.8%) and quality of linen provided by hospital and sanitary conditions of ward (97.3%).The study suggests that majority of In-patients are highly satisfied with the IPD services provided by the hospital which is highly motivating but every attempt must be made to form new policies and reform existing ones to achieve 100% satisfaction of patients. A number of potential barriers have been discovered in this study. Periodic patient satisfaction survey must be institutionalized in order to continuously improve hospital services. Patient counseling and health education cells could be open where patients and their relatives could solve their queries.

Urban planning effectiveness and citizen satisfaction. A systematic literature review

Background The population is increasingly demanding a better quality of life in their territories, which requires better urban planning. This study aims to find out the effectiveness of urban planning implemented by local governments on citizen satisfaction. Method A systematic literature review was conducted exploring the evolution of the state-of-the-art databases in Scopus, WOS and Dimensions, involving a relevant selection of empirical studies on the effectiveness of urban planning on citizen satisfaction, using quality criteria and the application of the PRISMA diagram. Results The findings in the various empirical contributions find converging in three main blocks the contributions related to: (i) Urban planning as a catalyst for the impact of citizen satisfaction, given that using the planning tool will lead to the development of local policies based on the Neoliberalism approach for smart urban development; (ii) Theoretical contributions for urban planning that contextualises a modernist planning based on a multidimensional aspect to address quality of life for modern well-being and (iii) Smart planning for citizen satisfaction for the design and implementation of public governance reforms aimed at optimising urban planning management at the local level for smart urban city development. Conclusion There is strong theoretical and empirical support that is closely linked to sustainable development, happiness, public space, urban growth, urban areas, satisfied customers and urban residents. Future research should examine the relative weight of urban planning dimensions and effectiveness in the sustainable development of territories and citizen satisfaction.

REVIEWS OF PERSPECTIVES ON CONTEMPORARY APPROACHES AND TECHNIQUES IN FLUVIAL SYSTEMS EVALUATION AND MANAGEMENT

This paper reviews fluvial geomorphology perspectives and methodologies for environmental sustainability by exploring and discussing major concepts, themes, and methodologies. To meet the multidimensional aspect of fluvial geomorphology research, multidimensional approaches are now used. Fluvial geomorphology examines river channel morphology and how it is shaped by fluid flows interacting with erodible or resistant boundaries. Understanding equilibrium conditions and thresholds is key. A systems perspective is needed - any river segment is influenced by upstream and downstream conditions as part of an integrated drainage basin system. Field surveys, mapping, remote sensing, and GIS provide important morphological data on river planform, cross-sections, longitudinal profile features, sediment characteristics, etc. Statistical analysis helps detect spatial patterns and trends. Assessing channel changes over long periods is often necessary to fully understand contemporary fluvial processes and forms. Sediment storage and release causes significant time lags. Major human impacts include land use changes affecting hydrology, sediment budgets, channel boundaries; and infrastructure interrupting continuity. Sustainable management requires addressing root causes. Watershed level processes like water balances, erosion patterns, etc. strongly influence fluvial systems - coordinating river channel and upland catchment interventions is key. Models like SWAT, MIKE-SHE, and ANSWERS simulate hydrological processes but have limitations. They require robust spatial datasets spanning geology, topography, land use, climate, etc. Overall, a multidimensional, scale-conscious, historically contextualized assessment framework is required for evaluating fluvial systems. The review highlights techniques and datasets for such integrated diagnosis.

Network Analyses Applied to the Dimensions of Cancer-Related Fatigue in Women With Breast Cancer.

Understanding cancer symptom cluster through network analyses is a new approach in oncology, revealing interconnected and influential relationships among reported symptoms. We aimed to assess these relationships using network analysis in posttreatment breast cancer patients, focusing on the five dimensions of cancer-related fatigue (CRF), and on other common difficulties encountered by oncological patients (i.e., pain, anxiety, depression, sleep difficulties, cognitive impairments, and emotion regulation and mental adaptation difficulties). This study involved a complementary analysis of data from two interventional studies. Participants completed questionnaires before and after the intervention, with baseline scores being used in this article. Partial correlation network analysis modeled the relationships between symptoms in five distinct networks, each of them including one specific dimension of CRF. The core symptom in each network was identified based on the highest centrality indices. Depression emerged as the core symptom in all networks, strongly associated with all fatigue dimensions (partial correlations ranging from 0.183 to 0.269) except mental fatigue. These findings indicate robust connections between symptoms, as variations in depression scores directly or indirectly influence fatigue and other symptoms within the cluster. Our results support the multidimensional aspect of CRF, and its links with other common symptoms. To effectively reduce patient CRF, interventions should address not only fatigue but also the closely related symptoms from the cluster, such as depression, given its centrality in the cluster. ClinicalTrials.gov (NCT03144154 and NCT04873661). Retrospectively registered on May 1, 2017 and April 29, 2021, respectively.

Individualized Cognitive Functional Therapy Compared with Conservative Treatment for Patients with Chronic Neck Pain-Study Protocol for a Single Blind Pragmatic Randomized Controlled Trial.

Chronic neck pain (CNP) is one of the most common musculoskeletal conditions, is considered the second leading cause of pain, and is among the leading causes of disability. Cognitive Functional Therapy (CFT) is a novel behavioral therapy for individualizing the management of spinal pain targeting the multidimensional aspect of musculoskeletal pain. This study outlines the protocol for an assessor-blind randomized controlled trial (RCT) designed to compare an individualized Cognitive Functional Therapy (CFT) intervention with usual care in terms of pain and disability. Aiming for a pragmatic intervention, the CFT group will receive 16 sessions based on patient's condition characteristics, and clinical presentation and progression. The control group will receive 16 sessions of standardized usual care (electrotherapy, massage, posture exercise, and educations). Both groups will have the same intervention duration. Patients will be randomly allocated into groups and will be assessed at baseline, at the 8th session, at the 16th session, and 3 months after randomization. Primary outcomes will be pain, disability, cervical range of motion, and neck muscle isometric strength. To our knowledge, this study will be the first RCT to compare the clinical effectiveness of CFT compared to UC for adults with CNP. The study results will provide information about the use of CFT in clinical practice.

Riluzole for Degenerative Cervical Myelopathy

The modified Japanese Orthopaedic Association (mJOA) scale is the most common scale used to represent outcomes of degenerative cervical myelopathy (DCM); however, it lacks consideration for neck pain scores and neglects the multidimensional aspect of recovery after surgery. To use a global statistical approach that incorporates assessments of multiple outcomes to reassess the efficacy of riluzole in patients undergoing spinal surgery for DCM. This was a secondary analysis of prespecified secondary end points within the Efficacy of Riluzole in Surgical Treatment for Cervical Spondylotic Myelopathy (CSM-PROTECT) trial, a multicenter, double-blind, phase 3 randomized clinical trial conducted from January 2012 to May 2017. Adult surgical patients with DCM with moderate to severe myelopathy (mJOA scale score of 8-14) were randomized to receive either riluzole or placebo. The present study was conducted from July to December 2023. Riluzole (50 mg twice daily) or placebo for a total of 6 weeks, including 2 weeks prior to surgery and 4 weeks following surgery. The primary outcome measure was a difference in clinical improvement from baseline to 1-year follow-up, assessed using a global statistical test (GST). The 36-Item Short Form Health Survey Physical Component Score (SF-36 PCS), arm and neck pain numeric rating scale (NRS) scores, American Spinal Injury Association (ASIA) motor score, and Nurick grade were combined into a single summary statistic known as the global treatment effect (GTE). Overall, 290 patients (riluzole group, 141; placebo group, 149; mean [SD] age, 59 [10.1] years; 161 [56%] male) were included. Riluzole showed a significantly higher probability of global improvement compared with placebo at 1-year follow-up (GTE, 0.08; 95% CI, 0.00-0.16; P = .02). A similar favorable global response was seen at 35 days and 6 months (GTE for both, 0.07; 95% CI, -0.01 to 0.15; P = .04), although the results were not statistically significant. Riluzole-treated patients had at least a 54% likelihood of achieving better outcomes at 1 year compared with the placebo group. The ASIA motor score and neck and arm pain NRS combination at 1 year provided the best-fit parsimonious model for detecting a benefit of riluzole (GTE, 0.11; 95% CI, 0.02-0.16; P = .007). In this secondary analysis of the CSM-PROTECT trial using a global outcome technique, riluzole was associated with improved clinical outcomes in patients with DCM. The GST offered probability-based results capable of representing diverse outcome scales and should be considered in future studies assessing spine surgery outcomes.

IT’s a matter of trust: Literature reviews and analyses of human trust in information technology

Trust is one of the most important constructs for understanding the adoption of information technologies (IT). In this paper, we review and analyze two literatures on the construct of human trust in IT artifacts and in the entities that source, operate, and govern IT. The first literature review focuses on defining of the construct of trust across a range of disciplines. Our analysis of this literature identified 13 assumptions about the nature of trust. The assumptions illustrate the complexities of human trust. The second literature review focused on 214 empirical studies of the construct of trust published in the AIS Senior Scholars’ Basket of Eight journals. We analyze this literature to identify IS scholar’s most common assessments of trust from qualitative studies and most common measures of trust from quantitative studies. As a cumulative body of knowledge, IS scholars have deeply examined the multidimensional aspect of trust by examining different types of trust, including affective trust, cognitive trust, institutional trust, instrumental trust, intrinsic trust, knowledge-based trust, relational trust, swift trust, disposition to trust, trusting beliefs, and more. IS scholars have also extensively examined the assumption that trust is dynamic, as evidenced by the many qualitative papers that examined trust as a process. Our review also finds that IS scholars have conducted extensive research examining trust in Web2 technologies, which are characterized by centralized applications and centralized governance. While the IS scholarly community has established a substantial tradition around the construct of trust, there is still interesting work to be done. With recent releases of open generative AI and with the rise of Web3 technologies like blockchains that purport to be “trustless,” the construct of trust in IT needs to be re-examined in these emerging contexts. We also encourage more research on trust in bi-directional relationships, on the limits of transitive trust, and on the construct of distrust.

MultiWD: Multi-label wellness dimensions in social media posts

Background:Halbert L. Dunn’s concept of wellness is a multi-dimensional aspect encompassing social and mental well-being. Neglecting these dimensions over time can have a negative impact on an individual’s mental health. The manual efforts employed in in-person therapy sessions reveal that underlying factors of mental disturbance if triggered, may lead to severe mental health disorders. Objective:In our research, we introduce a fine-grained approach focused on identifying indicators of wellness dimensions and mark their presence in self-narrated human-writings on Reddit social media platform. Design and Method:We present the MultiWD dataset, a curated collection comprising 3281 instances, as a specifically designed and annotated dataset that facilitates the identification of multiple wellness dimensions in Reddit posts. In our study, we introduce the task of identifying wellness dimensions and utilize state-of-the-art classifiers to solve this multi-label classification task. Results:Our findings highlights the best and comparative performance of fine-tuned large language models with fine-tuned BERT model. As such, we set BERT as a baseline model to tag wellness dimensions in a user-penned text with F1 score of 76.69. Conclusion:Our findings underscore the need of trustworthy and domain-specific knowledge infusion to develop more comprehensive and contextually-aware AI models for tagging and extracting wellness dimensions.

Bogatyrs and Rulers: Folklore Characters in the Ethnic Identity and Religious Practices of the Vyatka Mari

The author examines the mythological aspect of the entoregional identity of the modern Mari population in the Kirov oblast’ (the Vyatka, the Urzhum-Vyatka Mari) living in the Malmyzhsky and Urzhumsky districts. The author identifies the role of heroic images in modern ethno-cultural activism and the representation of the Vyatka Mari as the main problem of the study. Due to the multidimensional aspect of the problem, the article includes thematic sub-items: Features of the ethnic and religious identity of the Vyatka Mari - Images of folklore rulers in the perception of local residents - Legendary rulers in ethno-cultural activism and commemorative practices - Sacralization of folklore characters. The author considers this problem on the basis of the field materials (interview texts) collected during his expeditions to the Kirov oblast’ in 2015, 2017, 2021, and the regional media. In a multicultural region, inhabited by different ethnic groups, the Mari represent their identity through festive and sacred practices, as well as the veneration of local legendary rulers and heroes: Princes Akpatyr, Akmazik, Boltush (Poltysh) and others. Folklore heroes are objects of the religious cult of the Mari traditional religion, which is manifested in the ethnoregional self-consciousness of the Mari population. Legendary heroes are perceived by the local population as real historical characters. It is revealed that the beliefs in reality of the Mari heroes reflect the idea of the “golden age” of the history of the Vyatka Mari and their heroized past. The images of Boltush, Akpatyr are actively broadcast through the media, the ethnic component in education, local history literature. Thanks to the efforts of local activists, new objects of the cultural landscape emerge in the Malmyzhsky district - monuments at the sites of the symbolic burials of the Mari rulers. The conclusion is formulated that cultural activism, which appeals to the images of Mari folklore, plays a significant role in marking the ethnoregional identity of the Vyatka Mari people. In the text of the article the characters of the Mari folklore of Vyatka are considered in the context of identity. The obtained result allows to apply this theoretical framework for the study of folklore images in relation to the identities of ethnographic groups of the Mari and other peoples of the Volga region. The article is based on the dissertation “The system of mythological characters in the representation of the identities of modern Mari” for the degree of Candidate of Historical Sciences, defended in 2022 in the N.N. Miklukho-Maklay Institute of Ethnology and Anthropology of the Russian Academy of Sciences.

Identifying the dimensions of philanthropic CSR in the FMCG sector: agenda for the sustainability of business

Purpose This study aims to use a multi-stage scale development process to identify the dimensions of philanthropic corporate social responsibility (PCSR) in India’s fast-moving consumer goods (FMCG) sector. Design/methodology/approach The authors conducted a study to develop a comprehensive, reliable and valid scale for measuring PCSR based on the customer perception of FMCG product manufacturers. This research adopted a comprehensive and detailed scale development process using multi-stage sampling for scale development. This final study was conducted on a sample of 402 respondents from the city of Jaipur, India. Findings The results have underlined the multi-dimensional aspect of PCSR; these dimensions are: altruism towards society, volunteering for local community development, generosity towards ecology, benevolent spirit and problem-solving charity. Practical implications This study gives valuable insights into philanthropic scale development in the FMCG sector that can immensely help domestic and international marketers to formulate CSR as a strategy. This research provides insights into a wide range of scales which can be base for future research studies that aim to explore different organizational settings. Originality/value PCSR and CSR are important for developing strategies for sustainable businesses across the globe. Dimensions of PCSR will be useful for practitioners and researchers in developing second-order constructs for future studies.

Fusion Dynamics of 27Al + 74Ge Nuclear Reaction

The experimental data for the nuclear fusion of 27Al with 74Ge are examined within the context of symmetric-asymmetric Gaussian barrier distribution (SAGBD) model in sub-barrier domain. For bombarding energies smaller than the Coulomb barrier, predictions owing to simple Wong formula are found to be much smaller with reference to experimental outcomes. On other side, the SAGBD method is used, wherein impacts of inherent channels as a result of its multidimensional aspect of quantum mechanical tunneling arises because of weighted Gaussian function, to get desired outcomes. Larger fusion enhancement appears at lower energy region, which signifies the effective participation of inherent channels originated due to structure of participants. In present approach, the impacts of various inherent channels are cumulatively determined by calculating values of channel couplings parameter (λ) & VCBRED . Present calculations due to the SAGBD method suggests that the theoretical fusion excitation functions for 27Al + 74Ge reaction are in close resemblance with experimental findings around the nominal barrier.

Synthetic Generation of Multidimensional Data to Improve Classification Model Validity

This article aims to compare Generative Adversarial Network (GAN) models and feature selection methods for generating synthetic data in order to improve the validity of a classification model. The synthetic data generation technique involves generating new data samples from existing data to increase the diversity of the data and help the model generalize better. The multidimensional aspect of the data refers to the fact that it can have multiple features or variables that describe it. The GAN models have proven to be effective in preserving the statistical properties of the original data. However, the order of data augmentation and feature selection is crucial to build robust and accurate predictive models. By comparing the different GAN models with feature selection methods on multidimensional datasets, this article aims to determine the best combination to support the validity of a classification model in multidimensional data.

The influence of socioeconomic indicators on a senior’s self-esteem

The influence of socioeconomic indicators on a senior’s self-esteem

A REVIEW ARTICLE ON CYBER SECURITY

Cyber security is a critical component in today's digital age, comprising methods, procedures, and technology aimed to protect digital systems, networks, and data against harmful assaults. As our reliance on technology grows, so does the scope and complexity of cyber threats, necessitating strong safeguards against unauthorized access, data breaches, and cyber-attacks. This paper explores the multidimensional aspect of cyber security, evaluating its role in risk mitigation and digital fortification.

Modeling Trust Dimensions and Dynamics in Human-Agent Conversation: A Trajectory Epistemic Network Analysis Approach

Human-AI conversation provides a natural, unobtrusive, yet under-explored way to investigate trust dynamics in human-AI teams (HATs). In this paper, we modeled dynamic trust evolution in conversations using a novel method, trajectory epistemic network analysis (T-ENA). T-ENA captures the multidimensional aspect of trust (i.e., analytic and affective), and trajectory analysis segments conversations to capture temporal changes of trust over time. Twenty-four participants performed a habitat maintenance task assisted by a conversational agent and verbalized their experiences and feelings after each task. T-ENA showed that agent reliability significantly affected people’s conversations in the analytic process of trust, t ( 38.88 ) = 15.18 , p < 0.001 , Cohen ′ s d = 4.72 , such as discussing agents’ errors. The trajectory analysis showed that trust dynamics manifested through conversation topic diversity and flow. These results showed trust dimensions and dynamics in conversation should be considered interdependently and suggested that an adaptive conversational strategy for managing trust in HATs.

Unraveling the toxicity of tire wear contamination in three freshwater species: From chemical mixture to nanoparticles

Tire wear particle (TWP) contamination is of growing concern as recent studies show the ubiquity and toxicity of this contaminant in various environmental compartments. The multidimensional aspect of TWPs makes it difficult to assess toxicity and predict impacts on ecosystems, as it combines a complex mixture of chemicals and can release micro- and nanoparticles when suspended in water. Our work aimed to shed light on the toxicity of the different components of TWP leachate, namely, the dissolved chemicals and the nanoparticle fractions, on three freshwater model species of different trophic levels: Chlorella vulgaris, Lemna minor, and Daphnia magna. Acute toxicity was observed for all three fractions in D. magna, and an additive effect was observed between the nanoparticles and dissolved chemicals. L. minor experienced phytotoxicity from the dissolved chemicals only with a decrease up to 50% in photosynthesis efficiency parameters. C. vulgaris showed minor signs of toxicity on apical endpoints in response to each of the fractions. Our study highlights that nanoparticles from TWP leachate that were mostly overlooked in several previous studies are as toxic as dissolved chemicals for the filter-feeder species D. magna, and we also show the toxicity to photosynthesis in aquatic plants.

Relationship between Sexual Abuse and Juvenile Delinquency among Girls in Kirigiti Girls Rehabilitation and Training Center, Kiambu County, Kenya

Juvenile delinquency, which has partly been attributed to family violence, has been on the increase all over the world. This study sought to find out the extent of juvenile delinquency at Kirigiti Girls Rehabilitation and Training Center (KGRTC): &#x0D; &#x0D; To determine the prevalence of sexual abuse among girls at KGRTC, and &#x0D; To examine the relationship between sexual abuse and juvenile delinquency among girls in KGRTC Kiambu County, Kenya&#x0D; &#x0D; The study was conceptualized by Attachment Theory. The study used an ex-post facto research design that largely employed quantitative techniques. The population study comprised 61 girl child offenders at KGRTC. The research used a census inquiry that included all 61 girl delinquents in the study, and data for the study were collected using questionnaires that were administered to the girls. The validity of the tools was established with the assistance of experts from Pan Africa Christian University (PACU), while the reliability was determined using Cronbach Coefficient Alpha through data collected in a pilot study conducted at the Kamae Girls Borstal Institution. A reliability coefficient of 0.855 was attained, which was considered an appropriate threshold. The quantitative data were analyzed by means of inferential and descriptive statistics with the assistance of the computer software Statistical Package for Social Sciences (SPSS) Version 26. The results from the prevalence of sexual abuse showed that sexual abuse had a global mean score ( =2.16) for all the 12 items used to rate the prevalence of sexual abuse. This indicated that on a general scale, the girls had experienced a moderate level of various forms of sexual abuse, thus establishing that sexual abuse was a significant contributor to the development of juvenile delinquency. The study further revealed the existence of a strong, positive correlation between the sexual abuse and juvenile delinquency variables (r = + .708, n = 59, p &lt; .01). The implications of this research suggest the need to invest heavily in psychotherapy of the girls’ inner hurts and childhood trauma as well as advocacy of appropriate approaches of parenting the girl child. The findings of this study imply that Attachment Theory may serve as an effective guiding principle for studying juvenile delinquency. This study identifies areas where difficulties exist with regard to juvenile delinquency among girls and suggests benefits for the treatment of girls from a systemic and multidimensional aspect.

PH-Switchable phenylalanine-templated copper nanoclusters: CO2 probing and efficient peroxidase mimicking activity.

Inter-cluster conversion through the strategic tuning of external stimuli and thereby modulation of the optical properties of metal nanoclusters (MNCs) is an emerging domain for exploration. Herein, we report the preparation of blue-emitting CuNCs using phenylalanine (Phe) as a template under acidic conditions (pH ∼ 4). The as-prepared CuNCs exhibit a sequential tuning of the photophysical properties upon varying the pH of the solution from pH ∼4 to pH ∼12. Blue-emitting CuNCs (B-CuNCs, λem = 410 nm) are systematically converted to cyan-emitting CuNCs (C-CuNCs, λem = 490 nm) with a large red-shifted emission maximum by 80 nm as a function of pH. Our present investigation delineates an unprecedented switchability of the photoluminescence (PL) properties of the CuNCs with the variations of the pH from pH ∼4 to pH ∼12. Both the Phe-templated CuNCs (B-CuNCs and C-CuNCs) were broadly characterized by various spectroscopic and morphological techniques. The X-ray photoelectron spectroscopy (XPS) studies reveal the presence of different oxidation states in the metallic core of B-CuNCs and C-CuNCs. These results in turn substantiate the pH-induced intercluster conversion of CuNCs through the substantial change in their core composition as well as valence states. Owing to the pH sensitivity, the CuNCs act as an efficient and highly sensitive probe for CO2, and quantitative estimation of the dissolved CO2 in the form of bicarbonate ions has been achieved through the enhancement of the PL intensity, wherein a very low value of the limit of detection (LOD) of ∼60 μM was obtained. Furthermore, we demonstrated that the CuNCs act as an efficient bio-catalyst with peroxidase mimicking enzymatic activity which has been investigated using OPD as a substrate under physiological conditions (pH ∼7.4 and temperature ∼37 °C). The mechanistic investigations confirmed that the oxidation of OPD mainly proceeds through the generation of hydroxyl radicals (˙OH). We hope the present investigations shed light on a multidimensional aspect of MNCs and uncover an upsurging recent interest in MNCs to act as an artificial enzyme.

Multi-task learning for aspect level semantic classification combining complex aspect target semantic enhancement and adaptive local focus.

Aspect-based sentiment analysis (ABSA) is a fine-grained and diverse task in natural language processing. Existing deep learning models for ABSA face the challenge of balancing the demand for finer granularity in sentiment analysis with the scarcity of training corpora for such granularity. To address this issue, we propose an enhanced BERT-based model for multi-dimensional aspect target semantic learning. Our model leverages BERT's pre-training and fine-tuning mechanisms, enabling it to capture rich semantic feature parameters. In addition, we propose a complex semantic enhancement mechanism for aspect targets to enrich and optimize fine-grained training corpora. Third, we combine the aspect recognition enhancement mechanism with a CRF model to achieve more robust and accurate entity recognition for aspect targets. Furthermore, we propose an adaptive local attention mechanism learning model to focus on sentiment elements around rich aspect target semantics. Finally, to address the varying contributions of each task in the joint training mechanism, we carefully optimize this training approach, allowing for a mutually beneficial training of multiple tasks. Experimental results on four Chinese and five English datasets demonstrate that our proposed mechanisms and methods effectively improve ABSA models, surpassing some of the latest models in multi-task and single-task scenarios.

Performing Group-Based Physical Activity (Gbpa) in the Work-Place: Survey and Sociological Considerations of the “Happy Bones” Project

The goal of the following work was to identify the effects, positive or negative, of performing group-based physical activity (GBPA) in the workplace. In addition, the scope of the present research was to investigate some social and relational aspects of medical origin associated with the Happy Bones project. The sample consisted of 28 women between 47 and 67 years old, employees of the University of Rome “Foro Italico”, in menopause, and inactive. The explorative nature of the investigation and the multidimensional aspect of the variables suggested the adoption of a qualitative method. Even though the survey did not fulfil the minimum standards of representativeness, interview analysis showed a positive trend in joining physical activity in the workplace, as shown by the good compliance of the participants with the proposed workplace training protocol. Personal motivation linked to the project itself or to the corresponding activity existed albeit to a secondary extent; the unifying element of the group existed regardless of the project and was due to the home institution, hence to the workplace.