Impact Of Different Types Research Articles

Distributed Generation and Demand Response Coordination for Optimal Operation of Microgrid Using Modified Elephant Herd Optimization

The optimal operation and coordination of distributed generation (DG) sources and demand response (DR) programs help to minimize the operating cost of microgrids along with other mutual benefits. The model is developed, and the multiobjective problem subjected to the set of constraints is solved by using the modified elephant herd optimization (MEHO) technique in this work. The expected output of the model is the optimal generation scheduling plan of both the dispatchable and non-dispatchable DG and optimized cost for the isolated microgrid operation. The other objectives related to the environmental aspects and reliability are also considered for optimization. DG operation is coordinated with the day ahead DR programs to minimize the costs while satisfying the operation limits of the DG sources and consumer demand. The novelty of the work lies in finding the optimal solution considering the multiobjective for optimal DG operation and analyzing the impact of different types of DR programs on microgrid operation by the MEHO technique. The effectiveness of the proposed model and validity of the algorithm is further tested on a 14 bus microgrid benchmark system. Through simulation and optimization results it is observed that the proposed algorithm has less computational time and better accuracy.

Retrofitting Alternatives for an Existing Maillart-Arch-Type Bridge: A Case Study

This article examines different retrofit approaches for a still-in-use deck-stiffened arch bridge, the Viadotto Olivieri in Salerno (A3 Highway—South Italy). In its current state, the viaduct is characterized by a central Maillart-arch system, separated by 6 cm-deep joints from two lateral girder portions: the whole system works as an isostatic scheme on a global scale. Dating back to the 1960s, it derives from an early design approach, not including the effects of seismic actions. Considering the demands of current codes, also in light of recent bridge collapses and the resulting plan for assessing the structural safety and vulnerability of existing bridges, studies on seismic capacity become necessary to highlight the potentials and deficits of such complex structures. Analysing a still-in-use example of a Maillart-arch-type bridge, the article examines two different retrofit approaches. The first retrofit alternative includes the strengthening and partial modification of the original deck bridge: it exploits the beneficial effects of making the slender vault collaborate with a more rigid single deck, resulting from joint closure. Moving in the opposite direction, the second alternative considers the application of seismic isolation to the original scheme. An intermediate Isolation System (IS) has been postulated, inserting rubber devices—High Damping Rubber Bearings (HDRBs)—below the deck, at the top of the cross-walls. The advantages of an IS are clear, observing a great reduction of base reactions; moreover, the introduction of the IS completely modifies the original static scheme and exacerbates bridge deformability, at the expense of slender cross-walls, suffering for buckling. A comparison between these retrofit alternatives is argued in the article, evaluating the impact of different types of solution on the valuable original structural scheme.

Isoscalar giant quadrupole resonance of even-even 112-124Sn isotopes using BCS-QRPA

Using self-consistent Bardeen - Cooper - Schriffer + Hartree - Fock and quasiparticle random phase approximation, the isoscalar giant quadrupole resonance in the isotopes of 112,114,116,118,120,122,124Sn has been studied in this work. Five sets of Skyrme-type interactions of different values of the nuclear matter incompressibility coefficient KNM and effective mass m*/m are used in the calculations. Additionally, the impact of different types of pairing forces (i.e., volume, surface, and mixed) is examined. Comparisons are made between the computed strength distributions, centroid energies Ecen, scaled energies Es, and constrained energies Econ of the isoscalar giant quadrupole resonance and the available experimental data. Analysis is done on the relationships between KNM and m*/m, and the estimated properties.

Precipitation, topography, and soil conservation measures determine the spatiotemporal pattern of sediment yield at the regional scale

Exploring the driving effects of control factors on changes in sediment yield from a watershed perspective is of paramount importance for refined watershed management. The objective of this research is to unveil the spatiotemporal variation of sediment yield in the Coarse Sandy Hilly Catchments (CSHC) region from 1956 to 2019 and further investigate the relationship between sediment yield and driving factors. The findings revealed that the mutation years of sediment load (SL) at Toudaoguai and Longmen stations were 1986 and 1996, respectively, with annual SL declining by 66.75 % and 79.04 % after the mutation. Water and sediment discharge at Toudaoguai station exhibited more consistent fluctuations over time, while water and sediment discharge at Longmen station remained relatively consistent before 1967, followed by an entirely inconsistent trend. The spatial pattern of the annual average specific sediment yield (SSY) indicated that the northwest watersheds had a relatively higher erosion rate compared to the southeast. Over time, the SSY of each watershed exhibited a decreasing trend. The SSY showed significant negative correlations with terrace, afforestation, topographic position index (TPI), grass planting (GP), and elevation, while demonstrating significant positive correlations with rainfall indicators and runoff depth. Changes in precipitation, topography, vegetation and engineering measures accounted for 58.5 % of the variance in SSY. The total impact of precipitation on SSY change was positive (standard path coefficient (SPC) = 0.567, P < 0.01), whereas the total impact of topography, vegetation measures, and engineering measures on SSY change was negative (SPC = -0.282, −0.231, and −0.087, respectively). This study quantified the impact of different types of controlling factors on sediment yield at the watershed level. The insights provided by these results can contribute to sustainable watershed management and the optimal allocation of soil and water conservation measures (SWCMs).

Potential Effects of Live and Nutrient-Enhanced Food on Growth Performance and Biochemical Composition of Blue Acara (Andinoacara pulcher)

Fish food and feeding play an important role in understanding the rate of growth, development and reproduction in ornamental fish culture. The current study evaluated the impact of different types of food on the growth of Ornamental fish, Andinoacara pulcher. A comparative analysis of live, prepared, and commercial food was conducted in three feeding groups A, B and C, respectively. For live feed, Artemia larvae were cultured from Artemia seeds, and fed. The growth in terms of weight and body length was measured at 15-day intervals throughout the experimental period of 60 days. In addition, the protein, lipid, ash, and moisture composition of fish were estimated and analyzed. From the results, the fish fed with live artemia feed attained maximum growth when compared to other prepared feed and commercial feed. The specific growth rate (SGR) was found to be maximum in group A (1.46%), followed by group B (1.15%) and group C (0.71%). There is a well-defined relationship between the rate of growth and the type of food consumed. The protein, carbohydrate, and fat content of fish revealed a higher biochemical composition. In conclusion, the growth and biochemical study in the present investigation indicated that the live feed contains good constituents of vital nutrient substances that promote the growth and protein content of ornamental fish, Blue Acara.

Impact of different types of La Niña development on the precipitation in the Maritime Continent

abstract In this study, the impacts of different types of La Niña development on the precipitation in the Maritime Continent are examined via observational and modelling analyses. The development processes of La Niña events primarily manifest in two types. One is El-To-La, originating from the transition of El Niño in the preceding winter, and the other is Non-El-To-La, evolving from a non-El Niño state in the previous winter. During La Niña developing summer, both types show a similar intensity of negative sea surface temperature (SST) anomalies over the central and eastern tropical Pacific (CETP), and the Maritime Continent (MC) exhibits positive precipitation anomalies. However, a notable difference occurs in the spatial pattern of MC precipitation response between these two types. For the El-To-La type, the local SST anomalies are positive in the entire MC region, which sets up a strong SST gradient between the warm MC and the cold CETP. The anomalous zonal Walker circulation associated with the zonal SST gradient causes uniform ascending anomalies over the MC region, promoting widespread positive precipitation. The local uniform warm SST anomalies contribute to positive specific humidity, further enhancing the precipitation anomaly. Therefore, positive precipitation anomalies span the entire MC region for the El-To-La type. Contrastingly, for the Non-El-To-La type, SST anomalies are only positive in the far eastern MC and negative in the western MC. Despite the establishment of large-scale Walker circulation between the MC and the CETP, the ascending branch of Walker circulation is positioned more to the east, resulting in increased precipitation over the eastern MC region. The local cold SST anomalies over the western MC hinder the moisture supply and are not favourable for precipitation enhancement. Therefore, the positive precipitation anomalies are only confined to the southeastern MC region for the Non-El-To-La type.

Metaphor power in the context of the author’s opinion expression and perception

The article explores the relationship between the functional potential of metaphor and the expression and perception of the author’s opinion. Metaphor is considered as a means of implicit speech impact exerted both from the positions of its generation and perception. This paper aims to identify the correlation between the author’s opinion and various aspects of metaphor power, namely density (the number of metaphors per text), intensity (the ratio of new and conventional metaphors) and the metaphor projections typology (the ratio among orientational, ontological, and structural metaphors). The data for the study were obtained from a two-stage linguistic experiment. First, 20 experts in Russian Philology and Journalism composed three-part texts about Russia (its history, culture, and people), and were asked to summarise their personal opinion in the most relevant part. Then 180 respondents who were students of Moscow State Linguistics University identified the author’s position in the composed essays. The latter were analysed using metaphor-driven discourse analysis (MDDA), which included the identification of metaphor density, their intensity, and functional typology indices. Next, the MDDA numerical values of indices were juxtaposed with the data reflecting the author’s opinion expression and its perception by the respondents. The findings showed that metaphor intensity and density are related to the verbal message persuasion, since in 80% of the cases personal opinion was set forth in those text parts that contained the greatest number of the author’s metaphors. The proven relationship between metaphor power and the author’s opinion expression makes it possible to identify metaphorical speech impact, which reflects forms and degrees of speech impact in different types of texts. Thus, the results expand the theoretical and practical framework for the study of metaphorical speech persuasion.

Housing Prices and Land Use Regulations: A Study of 250 Major US Cities

&lt;p&gt;&lt;big&gt;Income and population growth are key determinants of housing demand, while land use regulations are designed to affect housing supply. Previous studies of housing price determinants focus either on specific regulations in particular cities/regions, or on selective subsets of major cities and regulations. This study examines the impact of land use regulations on housing prices from 1989 to 2006 in an unusually large sample of 250 major US cities. Aside from factors that are commonly associated with housing demand (income, population growth and density), housing prices are found to be associated with local cost-increasing land use regulations (approval delays) and with statewide regulations. Since statewide regulations factor prominently into the results, specific examples of the impact of different types of land use regulations are provided for 5 cities in the state of Washington. The estimated increase in housing prices associated with regulations is, on average (over 250 cities), substantially larger than the effects of income and population growth. While the estimated dollar costs associated with regulations may be sizable at times, the results are remarkably consistent with previous studies that were based on smaller cross sections.&lt;/big&gt;&lt;/p&gt;

Investigating the impact of company announcements on stock prices: an application of machine learning on Australian lithium market

This paper investigates the effects of various types of announcements made by lithium producers on stock prices. We collected data from 40 lithium-producing companies listed on the world's largest stock exchanges, spanning from May 2020 to September 2022. To analyze the impact of announcements such as quoted and unquoted securities, market announcements, company reports, public meetings and presentations, financial announcements, and technical announcements on stock prices, we employed an extreme gradient boosting (XGBoost) model. Our results indicate that stock exchange market announcements and announcements about public meetings and presentations significantly influenced the stock prices of all eight large-cap companies studied. Announcements about public meetings and presentations were crucial predictors of stock prices for 73% of all companies analyzed. Additionally, positive financial announcements were key predictors for 70% of the companies. These findings suggest that investors should consider these predictors when making investment decisions in the lithium-related stock market. This study contributes to the existing literature by providing empirical evidence on the impact of different types of announcements made by lithium producers on stock prices. Furthermore, the XGBoost model used in this study can be applied to other industries and markets to analyze the impact of various types of announcements on stock prices.

Driving Distraction Evaluation Model of In-Vehicle Infotainment Systems Based on Driving Performance and Visual Characteristics

With the rapid development of automotive electronic technology, increasingly car enterprises choose to carry touchscreen in-vehicle infotainment systems (IVISs) in smart cars. The integration of navigation, music, telephone, and other functions into touchscreen IVISs has greatly enriched the driving experience. However, the design of touchscreen IVISs, which lacks consideration of driver human–computer interaction leads to increased driving distraction. The current discussion is limited to evaluating the overall distractions of the secondary task, and there is a lack of research on classifying and summarizing the types of driving distractions. Therefore, this paper proposes a new method to evaluate the degree of driving distraction during the interaction with touchscreen IVISs based on driving performance and visual characteristics. A driving simulation environment was built to conduct psychological experiments on three types of driving distraction, namely visual, manual, and cognitive distraction, respectively, to obtain the impact of different types of driving distraction by using touchscreen IVISs. Combining the criteria importance through intercriteria correlation method with fuzzy comprehensive evaluation to establish a driving distraction evaluation method, we quantify the driving distraction caused by the touch screen IVIS. The results of this study indicate that the proposed driving distraction evaluation model by using driving performance and visual characteristics can effectively evaluate the degree of driving distraction caused by the touchscreen IVIS and provide reference and specification for IVIS safety design from a human–computer interaction perspective.

Impacts of trust on the cost of debt financing: The perspectives of in-group trust and out-group trust

This paper explores the impact of different types of trust on the cost of debt financing. Using trust data from the World Values Survey (WVS) and data on the listed companies in China, we find that in-group (out-group) trust has a positive (negative) impact on the cost of debt financing. We also establish that better corporate performance strengthens the impacts of the two types of trust, and higher external supervision weakens the impact of out-group trust. Further investigation finds that in-group (out-group) trust significantly impacts companies with weak (strong) financing constraints.

Unveiling the Potential of Electroluminescence Characteristics in Investigating Different Types of Defects and Degradations in c-Si PV Module

Photovoltaic (PV) cells can be characterized using current-voltage (I-V) as well as electroluminescence (EL) characteristics. However, unlike I-V, the potential of EL characteristics has not been well discussed in the literature. In this work, the impact of different types of defects on the EL characteristics is studied, and the possible use of EL characteristics in the qualitative and quantitative investigation of defects is unveiled. Defective field-aged and new modules with artificially induced defects were taken for experimental study. EL current-intensity (I-ɸ) and EL voltage-intensity (V-ɸ) characteristics were studied for the cells suffering from major defects such as cracks, busbar interconnect failure, and PID-shunting. It is observed that I-ɸ characteristic is useful in the investigation of shunting defects, whereas V-ɸ characteristic is in diagnosing defect that increases series resistance. Bulk defects within a cell affect EL calibration constants and increase cell-to-cell mismatch within a module. The findings of this work would be useful for extracting valuable information from EL images regarding defects and degradations.

Empirical Study on the Impact of Different Types of Forest Environments in Wuyishan National Park on Public Physiological and Psychological Health

Amidst the challenges of global environmental change and urbanization, the salutary effects of natural environments on public health are increasingly being recognized. This study investigates the specific effects of varied forest environments in China’s Wuyishan National Park on physiological and psychological health. Eight distinct forest environments were carefully selected, and a repeated-measures ANOVA approach was used to evaluate 41 participants over three days. Physiological assessments included Heart Rate Variability, Skin Conductance Level, and surface Electromyography, complemented by psychological evaluations using the Profile of Mood States. The key findings include the following: (1) Notable variations in physiological indicators were observed among different forest types. In valley tea gardens and broadleaf forest streamside, significant changes in heart rate indicators highlighted the influence of these settings on autonomic nervous activities. Skin Conductance Level and surface Electromyography also indicated varying emotional arousal and pleasure across the forests. The mixed broadleaf and coniferous forest valley, along with the rock-bedded streamscape, elicited emotions of low arousal but high pleasure, inducing feelings of calmness and pleasure. The valley’s tea gardens were associated with low arousal and pleasure, suggesting tranquility without positive emotional induction, while the broadleaf ridge forest induced high arousal and pleasure, reflecting an exciting and joyful environment. (2) The study found that different forest environments had a notable impact on participants’ mood states, indicating reductions in tension, anger, fatigue, and depression, along with an increase in vigor levels. In summary, forest environments offer unique psychological and physiological health benefits compared to urban settings. These findings underscore the importance of integrating forest environments into urban development and public health frameworks, and the need to further explore their impact on the health of diverse populations.

Addressing the Damage of Deception: Determining Effective Crisis Response Strategies Following Allegations of Deceptive Advertising

Governmental agencies and other watchdog organizations are tasked with detecting deceptive advertising and punishing those who employ it. Finances, company image, and consumer–brand relationships are at risk if a company is found to be guilty of employing deceptive advertising. It is important to understand effective responses to such allegations. Drawing on the situational crisis communication theory framework, this research examines the impact of different types of deceptive advertising on consumer behavior and explores which response strategies are appropriate for companies accused of deceptive advertising. The moderating influence of consumers’ skepticism toward advertising is also investigated. We conclude with recommendations for advertisers, who seek to restore public trust.

The efficacy of botanical pesticides in controlling coffee berry borer, Hypothenemus hampei (Ferrari, 1867) (Coleoptera: Curculionidae): A meta-analysis

Coffee berry borer pest (CBB) is one of the main pests that has a significant impact on coffee production and quality. In Indonesia, the utilization of plant-based pesticides has promising prospects in controlling CBB. The purpose of this study is to provide information on the impact of different types of plant pesticide on CBB mortality through a measurable algorithm analysis. A literature search was performed using Scopus, Web of Science, Google Scholar, Researchgate, and ScienceDirect. A linear mixed model (LMM) was applied to evaluate the effect of botanical pesticide application on the mortality rate of CBB. A total of 14 plant families were included in meta-regression analysis for estimating the effect size of each family. The average effect of pesticide exposure to CBB analyzed using LMM was 0.039 which mean that botanical pesticidal exposure has significant effect on the mortality rate of CBB (P&lt;0.05). The results of this study suggested that the use of botanical insecticide especially derived from plants belonging to Family Anacardiaceae was significantly effective in controlling CBB.

GCRV-II invades monocytes/macrophages and induces macrophage polarization and apoptosis in tissues to facilitate viral replication and dissemination.

Grass carp reovirus (GCRV), particularly the highly prevalent type II GCRV (GCRV-II), causes huge losses in the aquaculture industry. However, little is known about the mechanisms by which GCRV-II invades grass carp and further disseminates among tissues. In the present study, monocytes/macrophages (Mo/Mφs) were isolated from the peripheral blood of grass carp and infected with GCRV-II. The results of indirect immunofluorescent microscopy, transmission electron microscopy, real-time quantitative RT-PCR (qRT-PCR), western blot (WB), and flow cytometry analysis collectively demonstrated that GCRV-II invaded Mo/Mφs and replicated in them. Additionally, we observed that GCRV-II induced different types (M1 and M2) of polarization of Mo/Mφs in multiple tissues, especially in the brain, head kidney, and intestine. To assess the impact of different types of polarization on GCRV-II replication, we recombinantly expressed and purified the intact cytokines CiIFN-γ2, CiIL-4/13A, and CiIL-4/13B and successfully induced M1 and M2 type polarization of macrophages using these cytokines through in vitro experiments. qRT-PCR, WB, and flow cytometry analyses showed that M2 macrophages had higher susceptibility to GCRV-II infection than other types of Mo/Mφs. In addition, we found GCRV-II induced apoptosis of Mo/Mφs to facilitate virus replication and dissemination and also detected the presence of GCRV-II virus in plasma. Collectively, our findings indicated that GCRV-II could invade immune cells Mo/Mφs and induce apoptosis and polarization of Mo/Mφs for efficient infection and dissemination, emphasizing the crucial role of Mo/Mφs as a vector for GCRV-II infection.IMPORTANCEType II grass carp reovirus (GCRV) is a prevalent viral strain and causes huge losses in aquaculture. However, the related dissemination pathway and mechanism remain largely unclear. Here, our study focused on phagocytic immune cells, monocytes/macrophages (Mo/Mφs) in blood and tissues, and explored whether GCRV-II can invade Mo/Mφs and replicate and disseminate via Mo/Mφs with their differentiated type M1 and M2 macrophages. Our findings demonstrated that GCRV-II infected Mo/Mφs and replicated in them. Furthermore, GCRV-II infection induces an increased number of M1 and M2 macrophages in grass carp tissues and a higher viral load in M2 macrophages. Furthermore, GCRV-II induced Mo/Mφs apoptosis to release viruses, eventually infecting more cells. Our study identified Mo/Mφs as crucial components in the pathway of GCRV-II dissemination and provides a solid foundation for the development of treatment strategies for GCRV-II infection.

Analysis of the Impact of Agricultural Production Type and Traffic on Nitrogen Oxide Emissions

The protection of air from pollution is one of the basic principles of sustainable development, and this article analyzes the joint impact of various types of agricultural production and traffic on nitrogen oxide (NOx) emissions. The goal of this research is the development of a new methodology for assessing the combined impact of different types of agricultural production, traffic load, and traffic flow structure on the emission of nitrogen oxides. For the analysis of the joint impact of traffic and agricultural production, a new impact assessment methodology was developed, which is based on two selected impact prediction models. The following two models were used to predict the impact: the BioGrace model and the microsimulation model VISSIM. The developed methodology was applied to a case study in real field conditions. The results showed that the difference in the emission of NOx gases, depending on the type of agricultural production, indicates a reduction in NOx emissions in the walnut–winter-wheat system by 30%, compared to the production of winter wheat in an open field. The statistical analysis showed that there is no statistically significant difference between NOx emissions for different vehicle arrival scenarios for the same traffic load. The results of the joint impact show that the lowest NOx emission was found in walnut orchards and counted traffic. In this example, the difference between the one-hour emission load of three different agricultural types of production and traffic is not large; however, in the cumulative load, it can lead to significant differences. Emphasizing the importance of adopting new agricultural practices and the impact of traffic and the share of freight and heavy goods vehicles in agricultural production, we position them as a proactive and sustainable response to the critical ecological and agricultural challenges highlighted in European and Croatian policy.

Effect of Different Ceramic Waste Powder on Characteristics of Fly Ash-Based Geopolymer

The escalating demand for construction materials driven by rapid population growth has heightened the reliance on cement binders, resulting in increased CO2 emissions from the cement industry. Geopolymers, considered environmentally friendly alternatives, have been explored in various studies to address this challenge. This research specifically investigates the impact of different types of ceramic waste bricks (BT), floor tiles (FT), roof tiles (RT), and sanitary ceramics (ST) on the physical and mechanical properties of fly ash-based geopolymer mortar. To provide a comprehensive understanding, this research examines the compressive strength, mineral phase, chemical bonds, and microscopic evolution of fly ash geopolymer mortar incorporating varying proportions of each ceramic waste type (25% and 50% fly ash replacement). A consistent mixture of Na2SiO3and NaOH was used for the alkaline solution in all formulations. The curing process was carried out at room temperature for 7, 14, and 28 days prior to the compressive strength test. The result revealed that the inclusion of 25% BT experienced higher strength compared to the control sample after 14 days, but the strength became comparable after 28 days at 40.24 MPa. A reduction in strength was evident with the addition of other ceramic components. Moreover, higher incorporation of CWP correlated with a faster setting time for fresh geopolymers. This was also linked to the degree of gel formation, as indicated in the microstructure images. The emergence of plagioclase minerals was evident in all formulations of the geopolymer products under XRD analysis, while the bond of the geopolymer signature, Si-O-T (T = Si or Al), was identified from the infrared spectra. The microstructure of the binder showed a geopolymer matrix alongside unreacted fly ash particles. Overall, CWP replacement up to 25% can be potential in fly ash geopolymer without sacrificing significant strength loss and remaining in the range of normal strength mortar. Doi: 10.28991/CEJ-2024-010-02-06 Full Text: PDF

Constrained Community Detection and Multistage Multicost Consensus in Social Network Large-Scale Decision-Making

As a widely encountered decision-making scenario in modern society, social network large-scale decision-making (SNLSDM) is becoming a frontier topic in the field of decision science. Decision information usually includes social relationships among decision-makers (DMs) and individual opinions. This makes clustering and consensus building, which are two important processes for solving SNLSDM problems, significantly complex and requires the integration of multiple factors. This study designs a decision support method that consists of a constrained community detection (CCD) method and a multistage multicost consensus (MSMulCC) model. The CCD method takes the similarities among individual opinions as the mandatory constraint to guide the classification of DMs based on social relationships. The consensus-reaching process (CRP) is an effective tool for reducing differences of opinion. We hold that the DM with high compatibility but low consensus can reduce the adjustment amount by actively losing some compatibility. In this way, three types of consensus costs are generated, including individual adjustment cost, group adjustment cost, and compatibility loss cost. In this study, an MSMulCC model is developed, and the impact of different types of consensus costs on CRP. Finally, the feasibility and characteristics of the proposal are revealed through a case study and comparative analysis of the supply chain financing model selection.

Comparing effects of attractive interactions in crowded systems: nonspecific, hydrophobic, and hydrogen bond interactions

The equilibrium stability of a protein is determined by its amino acid sequence and the solution conditions, such as temperature, pH and presence of chemical denaturant. The stability of a single protein in two identical solutions can nonetheless differ if other macromolecules, termed cosolutes or crowders, are present in one of the solutions at concentrations high enough to occupy a substantial fraction of the solution volume. This effect, due to the presence of the crowders, decreases or increases the stability depending on the interactions between the protein and crowders. Hard-core steric repulsions, which are responsible for the reduction in free volume, are expected to entropically stabilize the protein while attractive interactions can be destabilizing. Here we use a coarse-grained protein model to assess the impact of different types of crowder-protein interactions on the stability of a 35-amino acid model sequence folding into a helical bundle. We find that, for the same interaction strength and concentration, spherical crowders with a hydrophobic character are more destabilizing than crowders interacting nonspecifically with the protein. However, the two types of interactions differ in the degree of association between crowders and protein. At an interaction strength for which the attractive interactions roughly counteracts the stabilizing hard-core repulsions, the nonspecific interactions lead to much stronger crowder-protein association than the hydrophobic interactions. Additionally, we study crowders in the form of polypeptide chains, which are capable of hydrogen bonding with the protein. These peptide crowders have a destabilizing effect even at relatively low crowder concentrations, especially if the sequence of the peptide crowders includes hydrophobic amino acids. Our findings emphasize the importance of the interplay between different types of attractive crowder-protein interactions and entropic effects in determining the net effect on protein stability.