bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comment apprécier l’impact transformationnel d’une politique de diversité en entreprise ? Contribution liminaire à un agenda de recherche
Authors: Bruna Maria Giuseppina , Frimousse Soufyane , Giraud Laurent 
Published: December 2017

Cet article propose une réflexion sur la manière d’évaluer une politique diversité en entreprise. Notre démonstration suggère que la « performance » d’une démarche de diversité s’apprécie au regard de son impact transformationnel (sur le patrimoine de discours, normes et pratiques de la firme) et de ses effets sur la performance au travail. Nous proposons une méthode pour effectuer de telles mesures. Ce faisant, nous posons les premiers jalons d’une grille évaluative des démarches diversité. Des pistes pour les recherches à venir et les implications managériales sont présentées.
Commercialisation de la durabilité dans le tourisme au travers de l’expérience client : le cas d’un parc naturel
Authors: Hallem Yousra , Hikkerova Lubica , Sahut Jean-Michel 
Published: December 2017

Cet article vise à mieux comprendre comment un parc naturel, à vocation touristique, peut tirer profit de sa démarche de développement durable pour accroître l’expérience client. Dans cet objectif, nous analysons d’une part les interactions entre les différentes parties prenantes de cette offre de tourisme durable, et leurs modes de coopérations pour construire cette offre, et d’autre part les perceptions des clients. Pour servir cet objectif, deux méthodologies qualitatives complémentaires ont été conduites. Dans le cadre d’une approche systémique, une première étude, par le biais de discussions de groupe, a été menée auprès de trois catégories d’ intervenants, à savoir : (1) des clients ; (2) des représentants du parc, des collectivités, d’offices du tourisme et d’associations ; et (3) des prestataires de services du parc. Pour la deuxième étude des entretiens semi-directifs ont été conduits auprès, d’une part, des responsables du parc et des clients d’autre part. Nos apports se situent à deux niveaux. Tout d’abord, nous avons montré l’intérêt d’une approche systémique pour appréhender le tourisme durable. Ensuite, nous avons développé, dans la partie empirique, un modèle de boucles causales qui nous a permis d’identifier les différents facteurs de l’offre ayant décidé des touristes potentiels à visiter le parc, et leur influence sur l’expérience client. La complémentarité de cette approche avec des entretiens semi-directifs avec l’ensemble des parties prenantes nous a permis d’émettre des recommandations pour améliorer l’expérience client.
A note on concordance properties of fibers in Seifert homology spheres
Authors: Lidman Tye , Tweedy Eamonn 
Published: December 2017

AbstractIn this note, we collect various properties of Seifert homology spheres from the viewpoint of Dehn surgery along a Seifert fiber. We expect that many of these are known to various experts, but include them in one place, which we hope will be useful in the study of concordance and homology cobordism.
Teoría de la modernidad y experiencia moderna del tiempo en Habermas
Authors: Romero José Manuel 
Published: December 2017

The following essay aims to show how, from the theoretical approaches by two authors, located in distant moments of the development of the modern society, as Hegel and Habermas, the paradoxes of Modernity posed by Walter Benjamin become evident: modernity is a model that assumes as normative the kind of development of certain societies in the planet. In this writing the modernization theory of Habermas will be discussed.Realidad: Revista de Ciencias Sociales y Humanidades No. 113, 2007: 435-459
Urea Enzymolysis‐Induced Ions Replacing: A Promising Strategy for One‐Pot Loading of Core–Shell Heterojunction on 1D Catalyst Support
Authors: Wang Zheng‐Wu , Yu Yang , Tan Xin , Wu Zheng‐Hao , Huang Tian‐Yu , Zhu Yi‐Zhou , Pang Dai‐Wen , Wang He‐Fang 
Published: October 2024

AbstractEven distribution of core–shell heterojunction on porous catalyst supports is promising to get the super‐catalysts, yet laborious preparation hinders the wide application. A novel strategy of urea enzymolysis‐induced ions replacement is proposed for one‐pot loading of Bi12O17Cl2@Bi48Al2O75 core–shell heterojunction onto porous Al2O3 nanorod (named as Al2O3‐Bi12O17Cl2@Bi48Al2O75). The clever combination of urea enzymolysis and precipitation reactions that consume the ions generated in urea enzymolysis can switch the “on‐off” of urease, and thus allow the precise controlling of the concentration and existence time of the ions, as well as ions replacement. It is the urea enzymolysis‐induced ions replacing strategy that can generate the unique structure of Al2O3‐Bi12O17Cl2@Bi48Al2O75, and it is the distinctive structure that can get the selectivity of 96% benzaldehyde with 90% benzyl alcohol (BA) conversion in the photocatalytic oxidation of BA. The ions replacement, the growth of Al2O3‐Bi12O17Cl2@Bi48Al2O75, and the photocatalytic mechanism are investigated in detail. This work highlights a novel and convenient strategy for one‐pot loading core–shell heterojunction onto porous nanorod support, unveils a fresh biosynthesis of nanomaterials with elaborate structure, and thus paves the way for wide application of elaborate nanomaterials.
Tunable Imaging Distance Focusing Module Directly Driven by a Thin‐plate Piezoelectric Actuator
Authors: Wang Yingzhi , Deng Jie , Ma Shuo , Chen Weishan , Zhang Shijing , Liu Yingxiang 
Published: October 2024

AbstractWith the advancement of imaging technology, the performance of optical focusing modules becomes crucial for determining imaging quality. Conventional focusing modules frequently face challenges of excessive bulk and weight, complicating the integrated design and limiting application fields. Herein, this study presents a piezo‐actuated optical focusing module (POFM) and the construction strategy to alleviate these issues. A novel radial‐bending resonant‐type piezoelectric actuator (RB‐RPA) is developed to directly drive the POFM. The RB‐RPA, which features a hollow structure (27 × 27 × 7 mm3), utilizes both radial and bending vibration modes of a thin metal plate. It achieves a speed of 122.93 mm s−1, a thrust force of 0.14 N, and a displacement resolution of 0.52 µm. Employing the proposed construction strategy, RB‐RPA is integrated with imaging components to fabricate a POFM prototype. Furthermore, the micrometer‐level displacement resolution of POFM facilitates optical focusing on imaging targets, allowing the acquisition of sharp images within 70 ms. It achieves an image resolution of 119.57 lp mm−1 within a 42 mm segment of the captured image. Finally, a QT‐based interface for the POFM, enables real‐time image capture and sharpness evaluation, thereby enhancing imaging efficiency and integration. This work provides a potential candidate for next‐generation imaging devices.
Direct Synthesis of 3,4‐Disubstituted Quinolines and 2‐Acylquinolines from Amines and Epoxides
Authors: Lv Xueyan , Li Shichen , Fang Shuai , Wu Xiaotian , Yang Bingchuan , Ma Chen 
Published: October 2024

AbstractHerein, we present a protocol starting from styrene oxide reacting with o‐acylaniline and o‐alkenylaniline derivatives to obtain 3,4‐disubstituted quinoline and 2‐acylquinoline derivatives, respectively, in 32–92% yields under specific conditions. Preliminary research outcomes underscore the versatility of our approach, as exemplified by its scalability for large‐scale synthesis, downstream derivatization, and the characteristic properties manifested by the modified molecules.
Assessing clinical progression measures in Alzheimer's disease trials: A systematic review and meta‐analysis
Authors: McLaughlin Jonathan , Scotton William J. , Ryan Natalie S. , Hardy John A. , Shoai Maryam 
Published: October 2024

AbstractINTRODUCTIONAssessing treatments for Alzheimer's disease (AD) relies on reliable tools for measuring AD progression. In this analysis, we evaluate the sensitivity of clinical progression measures in AD within randomized controlled trials (RCTs) with confirmed positive amyloid (Aβ+) status prior to trial enrollment.METHODSExcluding trials targeting non‐cognitive symptoms, we conducted meta‐analyses on progression measures from 25 selected RCTs using R version 4.2.0, along with the metafor and emmeans libraries.RESULTSThe Functional Activities Questionnaire (FAQ) demonstrated the greatest sensitivity over 12 weeks. Other cognitive measures demonstrated lower sensitivity. The integrated Alzheimer's Disease Rating Scale (iADRS) and Clinical Dementia Rating‐Sum of Boxes (CDR‐SB) seemed more effective than their individual cognitive components. Neuropsychiatric measures were the least sensitive in measuring progression.DISCUSSIONFunctional measures generally outperformed other measure categories. Purely cognitive domain‐based measures were suboptimal for tracking early AD progression. Ideally, future measures should incorporate both cognitive and functional components to enhance sensitivity.Highlights
Concerns remain regarding the limitations of current outcome measures used in AD clinical trials, particularly their sensitivity in the early and preclinical stages of the disease, which hampers their reliability as indicators of AD progression.
The Functional Activities Questionnaire (FAQ) demonstrated the most substantial weighted mean change over 12 weeks, followed by the Mini‐Mental State Examination (MMSE).
Functional measures outperformed other measure categories.
Composite scores of integrated Alzheimer's Disease Rating Scale and Clinical Dementia Rating‐Sum of Boxes are more sensitive to change than their individual cognitive components, possibly driven by the functional components of the score.
Neuropsychiatric measures analyzed in this study appeared to be the least sensitive in measuring progression.
Deep Learning‐Based Variational Autoencoder for Classification of Quantum and Classical States of Light
Authors: Bhupati Mahesh , Mall Abhishek , Kumar Anshuman , Jha Pankaj K. 
Published: October 2024

AbstractAdvancements in optical quantum technologies have been enabled by the generation, manipulation, and characterization of light, with identification based on its photon statistics. However, characterizing light and its sources through single photon measurements requires efficient detectors and longer measurement times to obtain high‐quality photon statistics. Here, a deep learning‐based variational autoencoder (VAE) method is introduced for classifying single photon added coherent state (SPACS), single photon added thermal state (SPATS), and mixed states between coherent and SPACS as well as between thermal and SPATS of light. The semi‐supervised learning‐based VAE efficiently maps the photon statistics features of light to a lower dimension, enabling quasi‐instantaneous classification with low average photon counts. The proposed VAE method is robust and maintains classification accuracy in the presence of losses inherent in an experiment, such as finite collection efficiency, non‐unity quantum efficiency, finite number of detectors, etc. Additionally, leveraging the transfer learning capabilities of VAE enables successful classification of data of any quality using a single trained model. It is envisioned that such a deep learning methodology will enable better classification of quantum light and light sources even in poor detection.
Research progress and applications of optoelectronic synaptic devices based on 2D materials
Authors: Zhao Yukun , Cheng Linrui , Xu Rui , Yu Zexin , Zhang Jianya 
Published: October 2024

AbstractIn the natural world, the human brain is the most powerful information processor, using a highly parallel, efficient, fault‐tolerant, and reconfigurable neural network. Taking inspiration from this impressive architecture, optoelectronic synaptic devices have gained considerable attention for their ability to process and retain data simultaneously, making them essential components in the upcoming era of neuromorphic computing systems. In recent years, significant progress has been made in the development of optoelectronic neuromorphic synaptic devices using two‐dimensional (2D) material heterostructures. This review focuses on the use of 2D materials in creating optoelectronic synaptic devices. It discusses the recent progress made in utilizing 2D material heterostructures in these devices and examines their potential in different areas such as image recognition, neuromorphic wearable electronics, logical operations, and neuromorphic computing systems. Heterostructures made with 2D materials provide a wide range of possibilities as their electronic band structures can be easily tailored to achieve effective optical and electrical modulation. Optoelectronic synaptic devices based on 2D materials simultaneously exhibit two functionalities: detection and memory. Furthermore, these materials have strong interatomic bonding within layers and possess a thickness of only one atomic layer, giving them exceptional flexibility, optical transparency, and mechanical strength. By utilizing 2D materials for solution processing and their ultra‐thin profile, the manufacturing of three‐terminal synapses becomes cost‐effective, simplifying integration processes.
Shaping ESG commitment through organizational psychological capital: The role of CEO power
Authors: Mahran Karim , Elamer Ahmed A. 
Published: October 2024

AbstractThis study investigates the influence of organizational psychological capital (OPC) on corporate environmental, social, and governance (ESG) practices, highlighting a relatively overlooked aspect in existing studies, and examines the moderating effect of chief executive officer (CEO) power on this relationship. Using a dataset of 1659 firm‐year observations from FTSE 350 firms across the years 2012–2021 and applying natural language processing (NLP) techniques, our findings reveal that higher levels of OPC are linked to a stronger commitment to ESG initiatives. However, this positive association is tempered by CEO power, which negatively moderates the relationship. Furthermore, our analysis shows that OPC not only enhances ESG performance but also positively influences financial performance and the core ESG pillars. These results, validated through rigorous robustness checks, offer significant insights for stakeholders and policymakers in the realm of corporate governance.
Addressing Technology‐Assisted Child Sexual Abuse During an Initial Clinical Assessment: A modified Delphi Study
Authors: Schmidt Felipa , Bucci Sandra , Quayle Ethel , Varese Filippo 
Published: October 2024

ABSTRACTObjectiveTechnology‐assisted child sexual abuse (TA‐CSA) is defined as any type of sexual abuse with an online element occurring under the age of 18. The literature suggests that victims often experience difficulty in finding support that adequately addresses the online elements of TA‐CSA. Research also suggests that practitioners are unsure about how to best approach TA‐CSA during initial assessments.DesignThis modified Delphi study with healthcare professionals and researchers as experts was conducted to understand best practice principles on how to approach the topic of TA‐CSA when a young person presents to clinical services.MethodsAn online, two round modified Delphi study was completed. Round 1 consisited of statements generated from existing published TA‐CSA literature. One hundred and twelve participants were invited to complete Round 1. Twenty‐four participants responded to Round 1, and of those responders, 15 completed Round 2. All healthcare professionals (10) and eight researchers were located in the United Kingdom. The remaining researchers were based in North and South America, Australia and Europe.ResultsParticipants agreed that there is a need to provide practitioners with guidance on how to approach TA‐CSA and that asking general questions about online life can help ease into the topic of TA‐CSA. Additionally, a clear multi‐agency approach and adequate training can provide practitioners confidence in their ability in managing risk and disclosure of TA‐CSA.ConclusionsThis study provides important initial findings in approaching TA‐CSA within an initial assessment. However, future research is necessary in understanding the transferability of these findings to clinical settings.
An IoT Healthcare System With Deep Learning Functionality for Patient Monitoring
Authors: Najim Ali Hamza , Al‐sharhanee Kareem Ali Malalah , Al‐Joboury Istabraq M. , Kanellopoulos Dimitris , Sharma Varun Kumar , Hassan Mustafa Yahya , Issa Walid , Abbas Fatima Hashim , Abbas Ali Hashim 
Published: October 2024

ABSTRACTCurrently, healthcare systems operate under conventional management practices and entail storing and processing substantial medical data. Integrating the Internet of Things (IoT) and wireless sensor networks (WSNs) technologies has facilitated the development of IoT‐enabled healthcare, which possesses advanced data processing capabilities and extensive data storage. This paper proposes a WSN and IoT framework for patient monitoring in high‐speed 5G communications. Based on an artificial neural network (ANN), an intelligent health monitoring system was developed using IoT technology to monitor a person's blood pressure, heart rate, oxygen level, and temperature. Furthermore, the system helps the elderly being in critical cases in their homes to communicate and update their medical condition with the hospital, especially in critical cases, to be treated as soon as possible, especially in remote areas. The experimental results showed the superiority and effectiveness of the proposed system. Moreover, relying on ANNs to extract the basic features, the accuracy reached 96%. The proposed system was implemented practically, and the results were displayed in real time and compared with commercial medical devices. Maximum relative errors are heart rate (2.19), body temperature (2.94), systolic blood pressure (3.4), diastolic blood pressure (2.89), and SpO2 (1.05). On the other hand, the proposed system is much faster than other wireless communication methods, regardless of the detection quality.
An Ultra‐Thin Dual‐Polarized Bandpass Frequency Selective Surface for 2.45‐/5.8‐GHz ISM Bands
Authors: Chellaiah Elango , M Kannan 
Published: October 2024

ABSTRACTThis paper presents the design of a single‐layer, double‐sided frequency selective surface (FSS) with bandpass characteristics at the S‐band (2.45 GHz) and C band (5.8 GHz) for sub‐6‐GHz Industrial Scientific and Medical (ISM) bands. The proposed FSS is based on the concept of complementary FSS that produces additional resonant modes. The FSS is constructed using an ultra‐thin microwave laminate with a thickness of 0.00076λeff calculated at the C‐band. The solid patch on the front side of the FSS unit cell is composed of an octagonal ring connected to four spiral arms while the slotted region on the rear side is complementary to the geometry on the front side. The unit cell size of the proposed FSS element is 0.087λeff × 0.087λeff. The FSS has an ultra‐low profile with at least 40% size reduction compared to the state‐of‐the‐art. The FSS element offers 11.12% (288 MHz) and 11.45% (650 MHz) at 2.45 GHz and 5.8 GHz, respectively, at x‐polarization while 5.8% (142 MHz) and 5.9% (342 MHz) bandwidth in the y‐polarization. The FSS element has a rotational symmetric structure offering enhanced polarization stability and angular independent operation for oblique incidences up to 80°. Furthermore, FSS operation is stable, which is evaluated and presented. The prototype bandpass FSS is fabricated, and the simulation results are validated in real‐time using experiments.
Combined genetic algorithm and response surface methodology‐based bi‐optimization of a vertical‐axis wind turbine numerically simulated using CFD
Authors: Roshani Mahdi , Pourfayaz Fathollah , Gholami Ali 
Published: October 2024

AbstractIn this study, computational fluid dynamic (CFD) simulation of a vertical axis wind turbine (VAWT) geometry based on the Unsteady Reynolds–Averaged Navier–Stokes equations was investigated. In addition, the relationship between the geometric parameters of the VAWT and the two response variables, that is, moment and lift force, was determined using response surface methodology (RSM). Then, the Non‐Dominated Sorting Genetic Algorithm (NSGA‐II) was used to solve the multi‐objective optimization problem. The results obtained from the RSM showed that the lift force of the turbine is more sensitive to the change in the blade chord length, and the output moment of the turbine is more sensitive to the change in the rotor radius. Using the NSGA‐II multi‐objective optimization algorithm and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method, it was determined that among the optimal values of the independent variable, the most optimal response occurs in blade chord length = 0.18 m, rotor radius = 0.4 m, blade pitch angle = −3.27° and number of blades = 4. In these optimal values of the independent variables, the values of the dependent variables, which included the turbine's moment and the blades’ lift force, were obtained as 9.58 N m and 57.89 N, respectively.
Adsorption‐Based Thermal Energy Storage Using Zeolites for Mobile Heat Transfer
Authors: Narwal Kapil , Farsad Saeed , Kempers Roger , O'Brien Paul G. 
Published: October 2024

ABSTRACTThe utilization of the water–zeolite pair as an adsorbate–adsorbent system has garnered significant attention in the realm of thermochemical energy storage, offering great potential for various applications. Despite promising results in laboratory settings, widespread implementation of this technology has yet to be realized. Recent advancements in mobile thermal energy storage (m‐TES) employing thermochemical materials have opened new avenues for enhancing the practicality and cost‐effectiveness of solar thermal energy harnessing and waste heat recovery. This experimental study investigates the feasibility of storing thermal energy in zeolites, charged externally to the heat recovery reactor, and discusses the potential applications of externally charged zeolites for m‐TES over short distances, shedding light on their practicality and significance in advancing the field of mobile thermal energy storage. Our findings reveal that zeolites charged at 200°C and subsequently stored outside the discharging unit exhibit an impressive energy storage density (ESD) exceeding 110 kWhth/m3 under conditions of 0.45 m/s air velocity and 60% relative humidity during zeolite discharging. These ESD values are comparable to previously reported figures in the literature. Moreover, ESD values of 30.6 kWhth/m3 were achieved by charging zeolite beads contained within packed transportable tubes constructed from stainless‐steel mesh.
Design and Performance Analysis of a Hybrid Solar Photovoltaic System With Battery Energy Storage in a Government School of Indian Village
Authors: Shukla Aradhana , Yadav Satish Kumar , Srivastava Ashrya , Singh Jyotsna , Singh Rajendra Bahadur 
Published: October 2024

ABSTRACTIn India, energy security and electrification of rural area remains significant challenges. In addressing energy changes, solar photovoltaic (SPV) systems will play a major role, particularly in remote and rural areas. This research presents the design and performance assessment of a hybrid SPV plant integrated with battery energy storage system (BESS) at a government school within an Indian village. This hybrid SPV system is designed to utilize grid electricity when available, switch to solar power during the day when it is available, and use stored battery power at night time. The designed SPV system is of 1785 Wp, capacity coupled with a 560 Ah battery pack. The performance metrics, energy production, and storage efficiency, are analyzed using simulation data from PVsyst software. The results shows that system produces an annual energy of 2149.28 kWh/year and shows a performance ratio (PR) of 72.75% and a solar fraction (SF) of 98.31%. This proposed hybrid SPV system ensures continuous power supply, reduces dependency on the grid, and significantly lowers CO₂ emissions.