Occupation Of States Research Articles

Evaluating building egress safety for the elderly under different urgent-level circumstances in high-density cities: Based on ABEM-enabled simulation

In high-density cities, people usually live in mid-rise or high-rise residential buildings where indoor environments are quite complicated. Safety risks exist not only within homes, but also on the way to egress from residential buildings. As the aging issue becomes severer, it is essential to provide safe egress plans particularly for the elderly who are more fragile to risks and obstacles. Kinds of emergencies might occur in reality, some are hard to predict and extremely dangerous, while some can be warned in advance and would not cause damages immediately. However, previous research seldom considered the different urgent levels of circumstances during the egress process of the elderly. Consequently, this study contributes to proposing an agent-based egress model (ABEM)-based evaluation of building egress safety for the elderly under different urgent-level circumstances by introducing absolute and relative indicators. Absolute indicators evaluate building egress safety for the elderly, relative indicators reveal whether buildings hinder safe egress of the elderly compared with ordinary residents, and indicator weights are decided by AHP method to compute building egress safety index (BESI) as the evaluation results. Case study shows BESI scores of 8.696, 8.941 and 6.290 under three circumstances. BESI scores are valuable references for old home buyers to make decisions. Furthermore, this evaluation approach offers an effective tool to help designers to improve design schemes for safer egress, to assist property managers in updating egress plans and facilities based on new occupancy status in the operation stage, eventually to facilitate the development of healthy residential buildings.

Pottery as Traditional Occupation of Kumbaran: Emerging Trends and Concerns

Kumbaran is the potter community found in Kerala. Traditionally, they follow pottery as their livelihood. It is not only a traditional occupation for them, rather pottery is connected with their religion, culture and everyday life. Recent trends show an occupational shift in the community from pottery to various other professions. Yet there is a considerable number of members who work hard for the revival of their traditional occupation. However, a question on the continuity of traditional occupation has been a matter of concern for the past one decade. This paper is focusing on factors leading to the occupational shift in the community. This study is also tries to understand the current state of the traditional occupation of Kumbaran along with the concerns of its members. Qualitative methods have been implemented to comprehend data to support objectives of this study.

Engineering the Interface of Cu/MoS2 Nanostructures for Improved Charge Transfer for Applications as PEC Anode Materials

Electronic structures of metal and semiconductor composites play a crucial role in photoelectric conversion. To obtain a fast-response photoelectrochemical (PEC) anode, its orbital regulation is a challenge. Herein, the occupancy state of the d orbitals of Mo is adjusted to achieve high-efficiency photoelectric conversion by adjusting the quantity of Cu by magnetron sputtering deposited in Cu/MoS2 composites. Characterization results indicate that the SEM morphology of MoS2 changes distinctly. Meanwhile, the (111) and (200) diffraction peaks and 0 and 2+ valence states of Cu appeared in XRD and XPS, respectively, confirming the successful synthesis of Cu/MoS2. The prior band shift at the heterojunction causes efficient separation of photogenerated charge carriers and the shift of the position of Mo 3d to higher binding energies, which results in weaker intrinsic luminescence at 810 nm in the PL spectrum and smaller charge transfer resistance in the electrochemical impedance spectroscopy spectra, confirming the high PEC performance of the Cu/MoS2 composites. Meanwhile, the density functional theory calculations reveal that the energy of the d orbital of Mo in MoS2 decreases, which is helpful to accept electrons in Cu 3d. The Mo d track-occupancy introduced through the strong interplay between the most desirable combination of MoS2 and Cu will be accountable for such record-high performance. Therefore, this study makes a strong case for fine-tuning the electronic structures of PEC anode materials.

Calcium-dependent strength of the inner-ear cadherin-23 ectodomain.

Cadherin proteins are essential for multicellular organisms and are involved in multiple processes including calcium-dependent cell-cell adhesion and inner-ear mechanotransduction. Cadherin-23 is an integral component of a fibrous protein filament, called the tip link, that is ultimately responsible for converting the mechanical energy of sound into the opening and closing of a gated ion channel that triggers signaling through the auditory nerve. Proper functioning of the tip link depends on its mechanical strength, which is stabilized by interactions of calcium ions with nearby protein residues at discrete triplet binding sites between extracellular cadherin (EC) repeats or so-called linker regions. These binding sites have varying affinity for calcium occupancy, and different calcium configurations at a linker region increase the mechanical rigidity of the tip link to varying degrees. Here we examine the mechanical strength of cadherin-23 repeats across an ensemble of calcium occupancy states at sites labeled as site1, site2, and site3 (ordered by increasing Kd). We do this through a combination of all-atom steered molecular dynamics simulations and by constructing probability distributions for a configuration ensemble which we analyze by Markov chain Monte Carlo. Simulations predict an increase in the tip link's mechanical strength according to an increase in the number of occupied calcium-binding sites. Surprisingly, our analyses also reveal that for the range of cochlear calcium concentration (20 to 50 uM), the most likely configuration involved a single calcium ion at site3, followed by two calcium ions at site2 and site3, then three calcium ions across all sites, and lastly an empty linker region. We discuss these results in the context of tip-link mediated inner ear mechanotransduction.

Multiple Exciton Generation Solar Cells: Numerical Approaches of Quantum Yield Extraction and Its Limiting Efficiencies

Multiple exciton generation solar cells exhibit low power conversion efficiency owing to non-radiative recombination, even after the generation of numerous electron and hole pairs per incident photon. This paper elucidates the non-idealities of multiple exciton generation solar cells. Accordingly, we present mathematical approaches for determining the quantum yield to discuss the non-idealities of multiple exciton generation solar cells by adjusting the delta function. We present the use of the Gaussian distribution function to present the occupancy status of carriers at each energy state using the Dirac delta function. Further, we obtained ideal and non-ideal quantum yields by modifying the Gaussian distribution function for each energy state. On the basis of this approach, we discuss the material imperfections of multiple exciton generations by analyzing the mathematically obtained quantum yields. Then, we discuss the status of radiative recombination calculated from the ratio of radiative to non-radiative recombination. Finally, we present the application of this approach to the detailed balance limit of the multiple exciton generation solar cell to evaluate the practical limit of multiple exciton generation solar cells.

Asymmetrically coupled two lane totally asymmetric simple exclusion process with extended Langmuir kinetics

The proposed study is motivated by the transport phenomena where the particle hopping, attachment, and detachment dynamics rely on the occupancy state of the corresponding site on another lane. To depict this kind of scenario, we consider an open two-lane Totally Asymmetric Simple Exclusion Process with the presence of asymmetrically coupled and extended Langmuir kinetics regulations. We have analyzed the steady-state properties of the system by calculating characteristics including phase diagrams, density profiles, phase transitions, and finite size effect. The theoretical results are captured by utilizing the framework of a mean-field theory, and it is recognized that numerical findings match closely with the Monte Carlo simulation outcomes.

Van der Waals Engineering of Ultrafast Carrier Dynamics in Magnetic Heterostructures

Heterostructures composed of the intrinsic magnetic topological insulator MnBi2Te4 and its nonmagnetic counterpart Bi2Te3 host distinct surface electronic band structures depending on the stacking order and exposed termination. Here, we probe the ultrafast dynamical response of MnBi2Te4 and MnBi4Te7 following near-infrared optical excitation using time- and angle-resolved photoemission spectroscopy and disentangle surface from bulk dynamics based on density functional theory slab calculations of the surface-projected electronic structure. We gain access to the out-of-equilibrium charge carrier populations of both MnBi2Te4 and Bi2Te3 surface terminations of MnBi4Te7, revealing an instantaneous occupation of states associated with the Bi2Te3 surface layer followed by carrier extraction into the adjacent MnBi2Te4 layers with a laser fluence-tunable delay of up to 350 fs. The ensuing thermal relaxation processes are driven by phonon scattering with significantly slower relaxation times in the magnetic MnBi2Te4 septuple layers. The observed competition between interlayer charge transfer and intralayer phonon scattering demonstrates a method to control ultrafast charge transfer processes in MnBi2Te4-based van der Waals compounds.

Molecular Dynamics Simulations for the Michaelis Complex of Ectoine Synthase (EctC)

Ectoine is a chemical chaperone synthesised and used by bacteria to defend against osmotic stress. Although it has already gained attention from the pharmaceutical and cosmetic industries, thanks to its hydrating and cell-protecting properties, the reaction mechanism of its final synthesis step is still not fully understood. The ultimate step of ectoine biosynthesis is catalysed by the ectoine synthase enzyme (EctC), which requires an iron ion for substrate binding and overall enzymatic activity. Even though a crystal structure for Paenibacillus lautus EctC—substrate complex is available (PDB: 5ONN), it is not very informative with respect to the geometry of the active site because: (1) the crystal was obtained at a pH value far from the enzyme’s pH optimum, (2) the electron density at the Fe position is weak, and (3) the Fe-ligand distances are too long. To fill this gap, in this work we have used classical molecular dynamics simulations to model the enzyme-substrate (N-gamma-acetyl-L-2,4-diaminobutyric acid) complex of Paenibacillus lautus EctC (PlEctC). Since PlEctC is a homodimeric protein, MD simulations were carried out for a dimer with various plausible occupancies by the substrate and for two plausible coordination geometries around the catalytic Fe ion: tetrahedral and octahedral. MD results revealed that the presence of the ligand has a stabilising effect on the protein structure, most notably on a short helix 112–118, which flanks the entrance to the active site. The most important amino acids for substrate binding are Trp21, Arg25, Asn38, Thr40, and Tyr52, which were also identified in the crystal structure. Importantly, the substrate can easily adopt a conformation suitable for the progress of the catalytic reaction, and it does so spontaneously for the octahedral 6-coordinate geometry of the iron cofactor or with a low energy penalty (ca. 3 kcal/mol) in the case of 4-coordinate tetrahedral geometry. Simulations for different substrate occupancy states did not reveal any signs of cooperativity between the two monomers.

Modulating paired Ir-O-Ir via electronic perturbations of correlated Ir single atoms to overcome catalytic selectivity.

Single-atom catalysts have been extensively utilized for electrocatalysis, in which electronic metal-support interactions are typically employed to stabilize single atoms. However, this neglects the metal-metal interactions of adjacent atoms, which are essential for the fine-tuning of selective sites. Herein, the high-loading of Ir single atoms (Ir SAs) (8.9 wt%) were adjacently accommodated into oxygen vacancy-rich Co3O4 nanosheets (Ir SAs/Co3O4). Electronic perturbations for both Ir single atoms and Co3O4 supports were observed under electronic metal-support and metal-metal interactions, thus generating Ir-O-Co/Ir units. Electrons were transferred from Co and Ir to O atoms, inducing the depletion of 3d/5d states in Co/Ir and the occupation of 2p states in O atoms to stabilize the Ir SAs. Moreover, the O atoms of Ir-O-Ir functioned as the main active sites for the electrocatalysis of As(iii), which reduced the energy barrier for the rate-determining step. This was due to the stronger electronic affinities for intermediates from reduction of As(iii), which were completely distinct from other coordinated O atoms of Co3O4 or IrO2. Consequently, the resultant Ir SAs/Co3O4 exhibited far more robust electrocatalytic activities than IrO2/Co3O4 and Co3O4 in the electrocatalysis of As(iii). Moreover, there was a strong orbital coupling effect between the coordinated O atoms of Ir SAs and the -OH of H3AsO3, thus exhibiting superior selectivity for As(iii) in contrast to other common heavy metal cations. This work offers useful insights into the rational design of intriguing SACs with high selectivity and stability for the electrocatalysis and electrochemical analysis of pollutants on an electronic level.

The impact of politics, security and health on the escalation of road traffic accidents and their consequences in Iraq for the period 2015-2020.

This study aimed to detect the impact of politics, security and health on the escalation of road traffic accidents (RTAs) and their consequences in Iraq for the period 2015-2020. The data of this cross-sectional study were obtained from the annual reports of RTA statistics from the Central Statistical Organisation of the Iraqi Ministry of Planning. The statistical analysis of data was done using the Statistical Package for the Social Sciences. In this study, it was noted that the rate of RTAs, injuries and deaths increased from 16% to 19.5%, from 16.5% to 17.3% and from 16.2% to 20%, respectively, for the years 2015-2019, while the rates of RTAs, injuries and deaths in 2020 recorded a clear decrease compared to the rest of the years under study, and the rates were as follows: 14.8%, 14.4% and 14.1%, respectively. According to the types of traffic accidents, the rate of crashes recorded the highest rate of 51% in all years of the study compared to the run over, overturn and other unclassified accidents, which were 37%, 10% and 2%, respectively, and it was revealed that crashes, run over and other unclassified incidents increased from 5% to 20%, from 17% to 19% and from 18% to 26%, respectively, for the years 2015-2019, whereas all types of RTAs in 2020 were recorded the lowest rates compared to other years under study. Al-Basra, Baghdad, Al-Najaf and Babylon were recorded the highest rates of traffic accidents for the 6 years under study, with a rate of 13.3%, 11.7%, 11.1% and 10.4%, respectively. Although traffic accidents were not recorded in the years 2015, 2016 and 2017 for the governorates of Nineveh and Anbar due to the occupation of the terrorist Islamic State, traffic accidents maintained their levels due to internal migration. It was also noted that the rate of road accidents was the highest in 2019 compared to the years under study due to the liberation of occupied cities, the return of safety and the return of recording accident data again, while the year 2020 recorded a clear decrease in the rate of road accidents, especially in the first half of it due to the October protests that led to the suspension of all government institutions, universities and schools. The second reason for the decrease in the second half of 2020 is attributed to the lockdown of corona. It seems that the political, security, military and health factors have an effective impact on the traffic reality.

ASSOCIATION BETWEEN H. PYLORI INFECTION AND IRRITABLE BOWEL SYNDROME

1 UNIVERSITY OF KUFA, AL.-NAJAF, IRAQ 2ALSADER TEACHING HOSPITAL, AL!NAJAF, IRAQ The aim: To research the association of H. pylori infection in patients with irritable bowel syndrome. Materials and method: In this case control study, 43 patients with IBS (13 males and 30 females) diagnosed according to Rome IV criteria and other 43 controls where included, the patients and control are matched to the gender and age which ranged from 18 to55 years, the study groups were referred to perform a stool antigen test for H. pylori. Results: Presence of H. pylori was compared between patients with IBS and controls using chi-square test. There was significant correlation between the presence of H. pylori and IBS, chi-square = 4.09, P-value = 0.043. The odd ratio for patients with H. pylori to have IBS was 2.53 (95% confidence interval: 1.02- 6.29). There is no signi"cant relationship between type of IBS and presence of H. pylori, chi-square = 2.87, P-value = 0.238. There is no significant relationship between the presence of H. pylori and age, BMI, gender, occupation, or marital state. Conclusions: Results of our study had shown an association of H. pylori infection in patients with IBS, which may propose a link of this infection in IBS pathophysiology.

ПСИХИЧЕСКИЕ РАССТРОЙСТВА ФРАНЦУЗСКИХ ЖЕНЩИН В ГОДЫ ПЕРВОЙ МИРОВОЙ ВОЙНЫ

The article deals with the problem of the mental health of French women during the First World War, which has not yet been covered in the Western historiographical tradition. The author considers cases of mental disorders caused or provoked by the state of hostilities, the social and stressful situation of the 1914–1918 conflict. The source base for the study was professional medical journals in the field of psychiatry and neurology, as well as publications of professional medical associations. The clinical cases identified by the author made it possible to identify and classify the main triggers of mental illness: the loss of a relative at the front, the events accompanying the state of occupation, the impact of propaganda. The author also traces the ways to resolve the mental conflict: in addition to inpatient treatment in psychiatric institutions, women who experienced the traumatic consequences of the First World War, found solace in occult practices, organizing communication with like-minded people, and alcohol abuse. The study is relevant in the context of the debatable issue of the etiology of mental disorders: at the turn of the 19th–20th centuries in European and Russian medicine, the discourse about degeneration dominated, as well as the idea of heredity as a source of mental illness of the population. According to some French researchers, the First World War called into question this conviction, forcing representatives of medical science to reconsider their views due to the admission of patients with no previous history of psychiatric diagnoses to specialized hospitals.

Detection of occupant emotion in automated vehicles under different driving conditions

Emotion Recognition is an emerging area in the field of automotive research focused on improving the driving experience and driver behavior. In the framework of automated vehicles, it is vitally important to detect and understand the emotional state of occupants in order to provide them with tailored support and to develop corrective actions to increase their acceptance of such vehicles. The H2020 SUaaVE project aims to develop an emotional model able to estimate passenger state through the analysis of their physiological signals. 50 drivers have experienced different automated driving scenarios with our HAV driving simulator, gathering their biometric measurements and behavior. The application of the emotional model shows significant differences in the emotion experienced by the participants in terms of valence and arousal across the different simulated scenarios.

The impact of spin-vibrational coupling on magnetic relaxation of a Co(II) single-molecule magnet.

Single-molecule magnets (SMMs) based on transition metals have appeared as enticing targets exploiting magnetic anisotropy in 3d elements. Among transition metals, Co based SMMs are very prominent as they often exhibit a high spin-reversal barrier (Ueff), owing to their large unquenched orbital angular momentum. Employing the wave function-based multireference CASSCF/NEVPT2 calculations, herein we substantiate the zero-field splitting parameters of four mononuclear Co complexes and one of them has shown potential as an SMM. The mechanism of magnetic relaxation has been studied to understand the molecular origin of the slow relaxation of magnetization. The combination of suppressed quantum tunneling of magnetization (QTM) at the ground state and the high negative D value usually manifests SMM behavior in a zero-applied magnetic field. However, mere fulfillment of these conditions ensures little about their SMM behavior, as spin-vibrational coupling often plays spoilsport by lowering the spin relaxation channels. A detailed study accounting for all the 46 vibrational modes below the first-excited state for the prospective Co(II) complex, reveals one of the vibrational modes providing a lower spin relaxation pathway. This results in the development of an SMM with a Ueff value of 239.30 cm-1, decreased by ∼81 cm-1 from the value without spin-vibrational coupling.

Implementation of KNN Algorithm for Occupancy Classification of Rehabilitation Houses

The 2010 eruption of Mount Merapi and the resulting rain lava in Central Java's Kab. Sleman DIY and Magelang Regency damaged homes and infrastructure. According to the Head of BNPB Regulation No. 5, the Community Rehabilitation and Reconstruction and Community-Based Settlement program plan is utilized to repair and rebuild properties damaged by the 2011 Merapi eruption. Two thousand five hundred sixteen residences that will stay in the area have been built permanently due to this initiative. Occupancy rates (permanent occupancy) are used by the World Bank's Key Performance Indicators (KPI) to gauge a program's effectiveness. The database has information on how the software was used and proved successful. Databases, essential tools for introducing new data patterns and revealing previously hidden information, are used in data mining. This study applies the KNN algorithm to classify the house's occupancy status data after Mount Merapi's eruption. The accuracy results obtained from the classification of 82.03%, and the performance of the results through the AUC obtained a value of 0.935.

Background-foreground segmentation for interior sensing in automotive industry

To ensure safety in automated driving, the correct perception of the situation inside the car is as important as its environment. Thus, seat occupancy detection and classification of detected instances play an important role in interior sensing. By the knowledge of the seat occupancy status, it is possible to, e.g., automate the airbag deployment control. Furthermore, the presence of a driver, which is necessary for partially automated driving cars at the automation levels two to four can be verified. In this work, we compare different statistical methods from the field of image segmentation to approach the problem of background-foreground segmentation in camera based interior sensing. In the recent years, several methods based on different techniques have been developed and applied to images or videos from different applications. The peculiarity of the given scenarios of interior sensing is, that the foreground instances and the background both contain static as well as dynamic elements. In data considered in this work, even the camera position is not completely fixed. We review and benchmark three different methods ranging, i.e., Gaussian Mixture Models (GMM), Morphological Snakes and a deep neural network, namely a Mask R-CNN. In particular, the limitations of the classical methods, GMM and Morphological Snakes, for interior sensing are shown. Furthermore, it turns, that it is possible to overcome these limitations by deep learning, e.g. using a Mask R-CNN. Although only a small amount of ground truth data was available for training, we enabled the Mask R-CNN to produce high quality background-foreground masks via transfer learning. Moreover, we demonstrate that certain augmentation as well as pre- and post-processing methods further enhance the performance of the investigated methods.

A data-model fusion dispatch strategy for the building energy flexibility based on the digital twin

With the growing percentage of the intermittent renewable power generation, the energy system is under increasing pressure in balancing the supply and the demand. As a major part of urban energy consumptions, buildings can provide considerable regulation flexibility for the energy system by actively managing their energy demands. For the building energy flexibility (BEF) provided by thermostatically controlled loads (TCL), its dispatch performance is vulnerable to the building thermal parameter errors, and in some cases, occupants need to provide the critical information related to the indoor temperature state and the occupancy state to the energy management system outside buildings, which decreases the availability of the BEF and raises privacy concerns. For these issues in the BEF utilization, this paper proposes a data-model fusion dispatch strategy based on the digital twin (DT). The proposed strategy is capable of parameter fault tolerance and privacy protection by combining the model-free advantage of the data-driven method with the analytical optimization advantage of the model-driven method. Firstly, a DT-based BEF dispatch framework is proposed. Secondly, the building DT is established by combining the building thermal dynamics (BTD) data-driven model and the TCL operation mechanism model. And the building response deduction is carried out based on the DT. Finally, under the rolling optimization framework, the data-model fusion dispatch strategy is devised by uniting the DT deduction and the optimization constructed by the BTD mechanism model, in which the multi-dimensional modeling of the BTD is carried out from the state dimension and the energy dimension. The simulation results show that the optimization result can reach 98.4% of the ideal result under the scenario with 15% parameter random error, and 98.3% of the ideal result under the scenario with 15% random state noise injection.

Performance Evaluation of RC Frame - Wall Structures Using Incremental Dynamic Analysis

A structure whose resistance to lateral loading is provided by a combination of shear walls and rigid frames, may be categorized as a frame-wall structure. The behaviour of RC structures under the effect of earthquake loading has always been a subject of investigation. Structural seismic design has been undergoing a major revaluation in recent time, with importance shifting from strength to performance. Nonlinear Time-History Analysis (NLTHA) constitutes the accurate way for simulating response of structures subjected to seismic excitation. Incremental Dynamic Analysis (IDA), involves performing nonlinear dynamic analysis of the structure under a set of ground motion records, each scaled monotonically to several intensity levels. In the present paper, RC moment resisting frame-wall structure with 18, 22 and 26 storeys are analysed for seismic zone IV, resting on hard soil and designed as per IS code provisions. Geometrical configuration of the buildings are considered as per IS 16700:2017. Analysis and design of frames are carried out using ETABS-2016. The performance evaluation of above frames is done using NLTHA and IDA using SeismoStruct software for set of 11 recorded ground motions of past Indian earthquake varying in range of magnitude from 5.6 to 7.8. For this parametric study, the performance criteria as per FEMA 356 for the limit states of Immediate Occupancy (IO), Life Safety (LS) and Collapse Prevention (CP) are considered. Results obtained from NLTHA are shown in terms of Interstorey Drift Ratio (IDR) profile. The results of NLTHA showed satisfactory performance when evaluated by a set of recorded ground motions of past Indian earthquakes. Individual and summarized IDA curves for 16%, 50% and 84% IDA of IDR | Sa illustrates that RC Frame-walls crosses the IO performance level and are well below the CP level for all cases which shows acceptable performance.

Energy distribution controlled ballistic Josephson junction

We report an experimental study on the tuning of supercurrent in a ballistic graphene-based Josephson junction by applying a control voltage to a transverse normal channel. In this four-terminal geometry, the control voltage changes the occupation of Andreev states in the Josephson junction, thereby tuning the magnitude of the supercurrent. As a function of gate voltage, we find two different regimes characterized by a double-step distribution and a hot-electron distribution, respectively. Our work opens new opportunities to design highly controllable Josephson junctions for tunable superconducting quantum circuits.

Half-metallic quaternary CrYCoX (X= Si, Ge, Sn, Pb) alloys: DFT calculations and Monte Carlo simulation

Quaternary Heusler alloys with high spin polarization and high Curie temperature, and lower Gilbert damping parameters have broad application prospects in spintronics field, which motivates us to design the alloys with above-mentioned properties. In the current manuscript, we systematically studied the electronic structure, magnetic properties and Gilbert damping parameters of quaternary Heusler alloys CrYCoX (X= Si, Ge, Sn, Pb). Electronic calculations show that the CrYCoX alloys are half-metallic ferrimagnets, and their integer total magnetic moments obey the Slater–Pauling rule: Mt = Zt-18. Origin of half-metallic gap is discussed by hybridization, occupation and distribution of electronic states. According to the Heisenberg model, we calculated the exchange coupling parameters of CrYCoX alloys, and find that the competition and cooperation between d−d exchange, super-exchange and RKKY exchange lead to the emergence of ferrimagnetic phase. Curie temperatures of CrYCoX alloys calculated by mean-field approximation and Monte Carlo simulation are significantly higher than room temperature. Finally, Gilbert damping parameters of CrYCoX alloys calculated by via linear response theory are localized in 0.0051∼0.0136 at 300 K, indicating they have lower energy loss and higher response speed as microwave and spintronic materials. Our results show that the CrYCoX alloys are promising candidates in room microwave and spintronic devices.