Common Practice Research Articles

Inactivation of Anisakis simplex Allergens in Fish Viscera by Acid Autolysis

The evisceration of infested species on board commercial fleets and the throwing of viscera into the sea, as is mostly the case for hake, is common practice for reducing the occurrence of Anisakis in fishery products. Moreover, the high levels of infestation and the lack of technically and economically feasible solutions hinder the possibility of recovering viscera with other fish processing byproducts as raw material for feed without the risk of transmission of allergens to humans, with the subsequent risk for public health. The aim of this work was to study the fate of Anisakis simplex allergens during 11 days of silage of infested hake (Merluccius merluccius) viscera, as a potential method for eliminating this risk. While the viscera were almost completely liquefied, an increase in the allergenicity of the soluble fraction was observed, which decreased only slightly after day 9. As we are aware of the resistance of parasite allergens to gastrointestinal enzymes, silage was also analyzed after 12 and 15 months. While the lower molecular weight fragments of Anisakis proteins are fully digested, some larger fragments with potential allergenicity resisted autolysis after long silage periods, but they were present in a very low concentration. The study concludes that there is the potential of silage as a method for recovering fish viscera infested with Anisakis.

Cyber Diplomacy through Official Public Attribution: Paving the Way for Global Norms

Abstract International discussions on establishing and implementing norms for behavior in cyberspace have spanned over two decades. However, differences in what constitutes ‘acceptable conduct’ have hindered progress in forming these norms. In recent years, Western countries have adopted a strategy to signal what is considered unacceptable behavior by publicly attributing cyberattacks and intrusions. I argue that this act of official public attribution serves as a practice for countries to express their disapproval of inappropriate cyberspace behavior and condemnation and can cumulatively shape international practices, holding the attacking state accountable. I explore this by (1) analyzing new data from the European Repository of Cyber Incidents, which shows patterns of official public attributions for the years 2000–2023, providing exploratory directions and trends, and (2) examining the Iranian cyberattack against Albania in 2022 and its subsequent official public attributions as an illustrative case study. I demonstrate how repeated instances of official public attribution can contribute to the development of a common practice that signals dissatisfaction of a specific behavior. As state-sponsored cyberattacks and intrusions are on the rise, this practice could have an accumulative effect.

Provider Burden Associated With Apremilast Adverse Events

Introduction: In December 2021, the US Food and Drug Administration (FDA) expanded its initial approval for apremilast to include moderate and severe cases of psoriasis. However, real-world epidemiology data regarding the use of apremilast, the influence of adverse events (AEs), and the burden of AEs on managing physicians, has been lacking. This retrospective, observational, multisite study aimed to describe real-world patient characteristics, AEs (including diarrhea, nausea, and headache), and healthcare provider-level burden associated with the psoriasis treatment apremilast in the US. Methods: Dermatologists abstracted medical record data for adults treated with apremilast on or after January 1, 2018, who had ≥3 months of data available. Dermatologist and patient characteristics, including demographics and clinical characteristics, AEs, and provider burden in managing AEs were summarized using descriptive statistics. Results: Forty-seven dermatologists nationwide responded to a survey and conducted a chart review of 308 patients. Dermatologists practiced in various US geographic regions. The most common practice setting was in a private community with 2 to 5 physicians (34.0%). Most patients were White (74.4%), non-Hispanic (86.0%), and male (55.2%). The mean age at diagnosis was 43.6 years (SD, 16.8 years). AEs occurred in 29.2% of patients, with the most common being diarrhea (16.2%), followed by nausea (13.6%) and headache (4.9%). Diarrhea mostly occurred ≤30 days into treatment (87.2%) and resulted in 1 additional office visit (39.5%) and 3 phone calls per patient to their providers (34.9%). Nausea mostly occurred within 30 days (70.2%) and resulted in 1 additional visit (29.7%) and 1 phone call per patient (35.1%). The burdens of managing both diarrhea and nausea were similar, although diarrhea resulted in more phone calls to the healthcare provider. Conclusion: Diarrhea and nausea were common and resulted in an additional time and resource burden on dermatologists and their staff. Future research on the AE burden on providers and patients related to apremilast is needed.

Apparent Intensity Dependence of Shunts in PV Modules Revision of the Shunt Parameterization in the De Soto Model and PVsyst

ABSTRACTIt is common practice in PV system simulation to use the De Soto model, which describes how to use the 1‐diode equivalent circuit model for modules. De Soto's model scales the shunt with irradiance, making it disappear toward zero W/m2. Also, the commercial software PVsyst uses a parameterization that reduces the shunt effect when the irradiance goes down. However, the solar cells that make up a module typically do not have an illumination‐dependent shunt. We therefore investigate the origin of the intensity‐dependent apparent shunt in modules. We show that this apparent shunt (derived from the slope of the quasi‐linear region from ISC onwards) is a misinterpretation for module I‐V curves and has little to do with a shunt conductance, although this slope method serves well for determining the shunt conductance of individual cells. Instead, the module I‐V curve slope of the quasi‐linear region from ISC onwards is strongly influenced by even small ISC mismatches between the cells. Such mismatch can occur from small illumination inhomogeneity even for A+ solar simulators in the laboratory, or from cell production variation. Abandoning the practice of using the I‐V curve slope to determine the shunt value for equivalent circuit models of modules (and the corresponding shunt scaling in the De Soto model or PVsyst) contributes to physically more meaningful I‐V curve parameterizations and bears the opportunity for further improved accuracy of PV system energy yield prediction.

Precision management of Fusarium fujikuroi in rice through seed coating with an enhanced nanopesticide using a tannic acid-ZnIIformulation.

Seed coating with fungicides is a common practice in controlling seed-borne diseases, but conventional methods often result in high toxicity to plants and soil. In this study, a nanoparticle formulation was successfully developed using the metal-organic framework UiO-66 as a carrier of the fungicide ipconazole (IPC), with a tannic acid (TA)-ZnII coating serving as a protective layer. The IPC@UiO-66-TA-ZnII nanoparticles provided a controlled release, triggered and regulated by environmental factors such as pH and temperature. This formulation efficiently controlled the proliferation of Fusarium fujikuroi spores, with high penetration into both rice roots and fungal mycelia. The product exhibited high antifungal activity, achieving control efficacy rates of 84.09% to 93.10%, low biotoxicity, and promoted rice growth. Compared to the IPC flowable suspension formula, IPC@UiO-66-TA-ZnII improved the physicochemical properties and enzymatic activities in soil. Importantly, it showed potential for mitigating damage to beneficial soil bacteria. This study provides a promising approach for managing plant diseases using nanoscale fungicides in seed treatment.

Multi-omics investigation into long-distance road transportation effects on respiratory health and immunometabolic responses in calves.

Long-distance road transportation is a common practice in the beef industry, frequently resulting in bovine respiratory disease (BRD) and compromised growth performance. However, a comprehensive investigation integrating clinical performance, physiological conditions, and nasopharyngeal microflora remains lacking. This study aimed to evaluate the respiratory health and immunometabolic status of 54 beef calves subjected to a 3000-km journey. The respiratory health of calves was monitored over 60 days post-arrival using a modified clinical scoring system. Nasopharyngeal microflora and venous blood samples were collected at 3 time points: before transportation (A), 30 days post-arrival (B), and 60 days post-arrival (C), for 16S rRNA microbiomics, whole-blood transcriptomics, serum metabolomics, and laboratory assays. Within the first week post-arrival, the appetite and mental scores of calves dropped to zero, while other respiratory-related scores progressively declined over the 60 days. The α-diversity of nasopharyngeal microflora in calves was similar at time points A and B, both significantly higher than at time point C. The structure of these microbial communities varied significantly across different time points, with a notably higher relative abundance of BRD-related genera, such as Pasteurella and Mannheimia, detected at time point A compared to B and C. The composition and gene expression profiles of circulating blood cells at time point A were significantly different from those at B and C. Specifically, higher expression levels of oxidative- and inflammatory-related genes, cytokines, and enzymes were observed at time point A compared to B and C. Higher levels of catabolism-related metabolites and enzymes were detected at time point A, while higher levels of anabolism-related metabolites and enzymes were observed at time points B and C. Additionally, significant correlations were found among microorganisms, genes, and metabolites with differing abundances, expression levels, and concentrations across time points. Stronger correlations were observed between calves' performance and nasopharyngeal microflora and immunometabolic status at time point A compared to B or C. Collectively, these results confirm that 3000 km of road transportation significantly alters the composition and gene expression profiles of circulating white blood cells in calves, affects their metabolic processes, disrupts the balance of the respiratory microbial community, and leads to pronounced respiratory symptoms that persist for at least 60 days. During this period, the influenced composition and gene expression of circulating blood cells, metabolic processes, and nasopharyngeal microbial community gradually return to equilibrium, and the respiratory symptoms gradually diminish. This observational research indicates that transportation induces BRD in calves by disrupting the homeostasis of their immune function, metabolic processes, and nasopharyngeal microbial community. However, these results and their underlying molecular mechanisms warrant further validation through well-designed in vivo and in vitro confirmatory experiments with larger sample size. Video Abstract.

Ultrasound-Guided Nerve Blocks for Flexor Tenosynovitis

Performing an ultrasound-guided nerve block (UGNB) is now common practice in many emergency departments (EDs) and is considered a core skill according to the American College of Emergency Physicians (ACEP). Nerve blocks are mostly utilized for fractures and laceration repairs, however, these blocks have many other applications. We present a case of utilizing an ulnar UGNB in a patient with flexor tenosynovitis and a history of intravenous drug use (IVDU) when parental opiates proved to be ineffective.

Deep-learning-based multi-timescale load forecasting in buildings: opportunities and challenges from research to deployment

Electricity load forecasting for buildings and campuses is becoming increasingly important as the penetration of distributed energy resources (DERs) grows. Efficient operation and dispatch of DERs require reasonably accurate predictions of future energy consumption in order to conduct near-real-time optimized dispatch of on-site generation and storage assets. Electric utilities have traditionally performed load forecasting for load pockets spanning large geographic areas, and therefore, forecasting has not been a common practice by buildings and campus operators. Given the growing trends of research and prototyping in the grid-interactive efficient buildings domain, characteristics beyond simple algorithm forecast accuracy are important in determining the algorithm’s true utility for smart buildings. Other characteristics include the overall design of the deployed architecture and the operational efficiency of the forecasting system. In this work, we present a deep-learning-based load forecasting system that predicts the building load at 1-hour intervals for 18 hours in the future. We also discuss challenges associated with the real-time deployment of such systems as well as the research opportunities presented by a fully functional forecasting system that has been developed within the National Renewable Energy Laboratory’s Intelligent Campus program.

Enhanced Brain Tumor Detection and Privacy Preserving Using Federated Learning

Brain cancers pose significant difficulties for both diagnosis and treatment, underscoring the necessity for precise and private-protecting detection techniques. Federated learning is used to solve this, allowing several healthcare facilities to work together to train detection models without jeopardizing patient privacy. This paper presents an approach called federated learning that may be used to improve brain tumor identification while protecting patient privacy. Brain tumors are dangerous medical disorders that need to be accurately diagnosed in order to be effectively treated. However, sharing private patient information is a common practice in traditional medical data analysis methodologies, which raises privacy issues. Federated learning helps with this by enabling cooperative training of a common model amongst several hospitals or institutions without requiring the exchange of raw data. This method protects patient privacy by having each institution train the model using its own local data and only sharing model updates. We show through trials that our method is efficient in reliably identifying brain tumors while upholding privacy norms, presenting a viable option for improving medical diagnosis without jeopardizing patient privacy.

Rhodobacteraceae are Prevalent and Ecologically Crucial Bacterial Members in Marine Biofloc Aquaculture.

Bioflocs are microbial aggregates primarily composed of heterotrophic bacteria that play essential ecological roles in maintaining animal health, gut microbiota, and water quality in biofloc aquaculture systems. Despite the global adoption of biofloc aquaculture for shrimp and fish cultivation, our understanding of biofloc microbiota-particularly the dominant bacterial members and their ecological functions-remains limited. In this study, we employed integrated metataxonomic and metagenomic approaches to demonstrate that the family Rhodobacteraceae of Alphaproteobacteria consistently dominates the biofloc microbiota and plays essential ecological roles. We first analyzed a comprehensive metataxonomic dataset consisting of 200 16S rRNA gene amplicons collected across three Asian countries: South Korea, China, and Vietnam. Taxonomic investigation identified Rhodobacteraceae as the dominant and consistent bacterial members across the datasets. The predominance of this taxon was further validated through metagenomics approaches, including read taxonomy and read recruitment analyses. To explore the ecological roles of Rhodobacteraceae, we applied genome-centric metagenomics, reconstructing 45 metagenome-assembled genomes. Functional annotation of these genomes revealed that dominant Rhodobacteraceae genera, such as Marivita, Ruegeria, Dinoroseobacter, and Aliiroseovarius, are involved in vital ecological processes, including complex carbohydrate degradation, aerobic denitrification, assimilatory nitrate reduction, ammonium assimilation, and sulfur oxidation. Overall, our study reveals that the common practice of carbohydrate addition in biofloc aquaculture systems fosters the growth of specific heterotrophic bacterial communities, particularly Rhodobacteraceae. These bacteria contribute to maintaining water quality by removing toxic nitrogen and sulfur compounds and enhance animal health by colonizing gut microbiota and exerting probiotic effects.

The Principle of Cost-Based Supervision in Practice

A key response of financial regulators around the world to the financial and economic crises of ten years ago has been the formation of supervisory committees. Such committees now exist in several countries worldwide. Consequently, many regulators fund their supervisory function by charging their supervisees. The objective of this paper is to compare how these regulators charge fees, identify common practices, draw conclusion from observations, and provide relevant recommendations. This paper especially focuses on the Federal Reserve, the European Central Bank and the Bank of England that charge fees just enough to recover the cost of supervisory function, or those that follow what this paper refers to as the “principle of cost-based supervision.” A discussion on how selected examples of regulators practice the principle of cost-based supervision follows. Simulations of fees using selected procedures to supervisees in the Czech Republic and Greece follow. Then this paper introduces the asset elasticity of cost notated as n and simulates the hypothetical supervisory fee if n is constant.

Survey on Influence of Cultural Practices on Banana Pseudostem Weevil, Odoiporus longicollis Olivier (Coleoptera: Curculionidae) Infestation in Major Banana Growing Districts of Northern Karnataka, India

The production and productivity of banana is governed by many biotic and abiotic factors. Among biotic factors, incidence of insect-pests is considered as one of the major impedimentin successful cultivation of banana. With respect to the Indian condition around eight pests commonly infest the banana crop. However, the banana pseudostem weevil Odoiporus longicollis is cosmopolite insect pest that threatens the banana cultivation. The most common management practices followed for managing this pest includes cultural practices. Diverse cultural practices have been communicated to and/or applied by resource-poor households over the past two decades to improve the overall farm health and crop tolerance to biotic/abiotic factors. Therefore, cultural practices are the only measures available to small-scale farmers for the control of banana pseudostem weevil. Hence the survey was conducted during 2020-21 to study the influence of cultural practices on O. longicollis infestation in major banana growing districts of north Karnataka. From the survey results on the cultural practices reveals that the pest severity was more severe on ratoon crop fields and the frequency recorded was 37.82%. However, the frequency recorded was 1.68% in first crop, wherein no pest infestation was recorded in main crop. Whereas, good number of farmers could not make a difference in infestation of pest between main and ratoon crop (60.50%) and in such fields infestation level was 4.11%. The banana farmers who were interacted mainly used suckers (36.13%) and tissue culture plants (36.13%) for planting followed by rhizome (24.37%), whereas few farmers used suckers and rhizomes (3.36%) for planting in a single piece of land. Accordingly, the per cent infestation of BPW was less when both tissue cultured plants (4.84%) and suckers (5.53%) used for planting. Whereas, infestation was more severe when both suckers and rhizomes were used (27.50%) on same piece of land and which was followed by rhizomes alone (16.00%).

Helicopter Parenting among Late Adolescents

Background: In the contemporary context, helicopter parenting which is a common practice and in Southeast Asia region, it is a growing parenting approach. It has several components that affect adolescents and emerging adults physical, psychological and social well-being. The aim of the study is to measures the parenting style for the adolescent for which the Helicopter Parenting Scale (HPS) was used. Material and methods: A cross-sectional study was conducted to assess the state of helicopter parenting style of parents on late adolescents of Police Lines School and College, Rangpur, Bangladesh. Results: The mean age of the adolescent was 17.7±0.6 years. The mean of HP scores was 3.6±0.5. About three out of five participants had a perceived average level of HP (58.9%) and a few of them had a high level of HP (2.3%). A statistically significant association found within the level of HP and adolescent’s family type (p<0.05) and the perceived level of HP was average among the adolescents who came from the nuclear family (61.8%). The HP scores were high in the nuclear family (3.62±0.413) and parents’ living together (3.59±0.422). There were significant differences found in the HP scores with the adolescent’s family type and their parent’s relationship state (p<0.05). Conclusion: The study found that nuclear families were more likely to adopt helicopter parenting than other types of families, with their perceived level of this parenting style being assessed as averagely good. IAHS Medical Journal Vol 7(1), June 2024; 26-31

CHEMICAL ATTRIBUTES AND SOIL CARBON AND NITROGEN STOCKS IN PASTURES IN THE MARANHÃO AMAZON

In the eastern Amazon region, converting forests into pastureland is a common practice that quickly leads to the degradation of these areas. This study aimed to evaluate the influence of different land uses in different evaluation periods on the chemical attributes, total contents, and carbon and nitrogen stocks of the soil in the Maranhão Amazon. The land use systems analyzed were: perennial pasture (PP), recovered pasture (RP), and secondary forest (SF). Trenches were opened in 2013 and 2019 in each use system in the 0.0-0.20 m and 0.20-0.40 m soil layers. The soil chemical attributes (pH, P, K, Ca, and Mg) and C and N contents and stocks were assessed. PP in the surface layer showed superior results compared to RP and SF, while the opposite behavior occurred in the subsurface. The chemical attributes of the soil decreased over the years evaluated, regardless of the layer and area. The chemical attributes of the soil, as well as the C and N contents and stocks, changed depending on the land use, layer, and year of sampling.

Approximate Cross-Validated Mean Estimates for Bayesian Hierarchical Regression Models

We introduce a novel procedure for obtaining cross-validated predictive estimates for Bayesian hierarchical regression models (BHRMs). BHRMs are popular for modeling complex dependence structures (e.g., Gaussian processes and Gaussian Markov random fields) but can be computationally expensive to run. Cross-validation (CV) is, therefore, not a common practice to evaluate the predictive performance of BHRMs. Our method circumvents the need to rerun computationally costly estimation methods for each cross-validation fold and makes CV more feasible for large BHRMs. We shift the CV problem from probability-based sampling to a familiar and straightforward optimization problem by conditioning on the variance-covariance parameters. Our approximation applies to leave-one-out CV and leave-one-cluster-out CV, the latter of which is more appropriate for models with complex dependencies. In many cases, this produces estimates equivalent to full CV. We provide theoretical results, demonstrate the efficacy of our method on publicly available data and in simulations, and compare the model performance with several competing methods for CV approximation. Code and other supplementary materials available online.

Changing perspective from being to becoming—An alternative approach to language development and speaker categorization based on longitudinal data

Abstract In the face of transnational mobility and migration, globally networked communities and super-diverse social environments, traditional research practices of speaker categorization such as the distinction between native and non-native speakers, first, second, and third language users and mono-, bi-, and pluri-/multilinguals, which rest on the assumption of categorical differences between types of speakers and the general stability of speaker categories as biographical fact, are increasingly called into question. Critical voices point out that in real life, differences between language users turn out to be fuzzy, gradient, and continuous, and that conventional speaker categorizations are conceptualized from a monolingual perspective, providing grounds for discriminatory practices. Based on a longitudinal study design, the paper aims to offer an alternative quantitative approach for researchers who are dissatisfied with common practices of speaker categorization and wish to shift perspective to a more comprehensive way of studying language development within communities. The analysis draws on the results of c-tests for German, Italian, and English that were specifically designed for the study and administered to the same students (n = 170) in their first and final year at lower secondary school.

A Modular Genetic Approach to Newborn Screening from Spinal Muscular Atrophy to Sickle Cell Disease—Results from Six Years of Genetic Newborn Screening

Background/Objectives: Genetic newborn screening (NBS) has already entered the phase of common practice in many countries. In Germany, spinal muscular atrophy (SMA), severe combined immunodeficiency (SCID) and sickle cell disease (SCD) are currently a mandatory part of NBS. Here, we describe the experience of six years of genetic NBS including the prevalence of those three diseases in Germany. Methods: Samples and nucleic acids were extracted from dried blood spot cards, commonly used for NBS. A qPCR assay was used to detect disease-causing variants for SMA and SCD, and the detection of T-cell receptor excision circles (TRECs) was performed for SCID screening. Results: The results of the NBS of over 1 million newborns for SMA, approximately 770,000 for SCID and over 410,000 for SCD are discussed in detail. In these newborns, we have identified 121 cases of SMA, 15 cases of SCID and syndrome-based immunodeficiencies and 77 cases of SCD or β-thalassemia. Conclusions: The flexibility of multiplex qPCR is assessed as an effective tool for incorporating different molecular genetic markers for screening. The processing of dried blood spot (DBS) filter cards for molecular genetic assays and the assays are described in detail; turn-around times and cost estimations are included to give an insight into the processes and discuss further options for optimization. The identified cases are in the range expected for the total number of screened newborns, but present a more exact view on the actual prevalences for Germany.

Network hub gene detection using the entire solution path information.

Gene co-expression networks typically comprise modules and their associated hub genes, which are regulating numerous downstream interactions within the network. Methods for hub screening, as well as data-driven estimation of hub co-expression networks using graphical models, can serve as useful tools for identifying these hubs. Graphical model-based penalization methods typically have one or multiple regularization terms, each of which encourages some favorable characteristics (e.g., sparsity, hubs, power-law) to the estimated complex gene network. It is common practice to find a single optimal graphical model corresponding to a specific value of the regularization parameter(s). However, instead of doing this, one could aggregate information across several graphical models, all of which depend on the same data set, along the solution path in the hub gene detection process. We propose a novel method for detecting hub genes that utilizes the information available in the solution path. Our procedure is related to stability selection, but we replace resampling with a simple statistic. This procedure amalgamates information from each node of the data-driven graphical models into a single influence statistic, similar to Cook's distance. We call this statistic the Mean Degree Squared Distance (MDSD). Our simulation and empirical studies demonstrate that the MDSD statistic maintains a good balance between false positive and true positive hubs. An R package MDSD is publicly available on GitHub under the General Public License https://github.com/markkukuismin/MDSD.

The Packed Epistaxis Patient: Risks of Rebleeding? A Pilot Study to Inform Outpatient Management of Packed Patients.

Current common practice for patients with idiopathic epistaxis which requires nasal packing is to admit as an in-patient for overnight observation. Anecdotally, many patients do not re-bleed, so admissions may be unnecessary. Several factors have been suggested to be associated with an increased risk of re-bleeding, such as hypertension, anticoagulant use, and male gender. We set out to investigate these factors, to create a local guideline to identify patients who may be safe to discharge with a pack in situ. We collected the data on the most recent admissions in our department, who each received a non-absorbable nasal pack for idiopathic epistaxis (n = 100). Data points included age, gender, anticoagulation status, and comorbidities. Data from 100 patients were audited. Of those, 13 were found to have re-bled through their packing (13%). Statistically significant predictors of re-bleed were as follows: Male sex (OR = 9.81, P = .048, 95% CI 1.02-94.11), aspirin use (OR = 8.11, P = .047, 95% CI = 1.03-63.79), hypertension (OR = 8.14, P = .040, 95% CI = 1.10-60.26), and age (OR = 0.93, P = .018 95% CI = 0.88-0.99). Re-bleed in patients managed with non-absorbable packing for idiopathic epistaxis is uncommon. Risk factors may include male sex, hypertension, and aspirin use. ENT departments nationally may consider discharging patients' home with pack in situ, for removal as an outpatient, in the absence of these risk factors.

Analysis of Bioheat Transfer with Thermoelastic Effect

The development of thermal therapy always requires more reasonable temperature distribution predictions. Controlling the amount of heating is a common practice within general thermal therapy operations. This paper used a modified three-phase lag (TPL) bioheat transfer equation to describe the behavior of heat conduction in tissue with thermoelastic effect. To explore the effect of thermal load, the tissue was subjected to a constant surface temperature and a pulsed surface heat flux, respectively. The modified TPL bioheat transfer equation involves mixed derivative terms and higher-order time derivatives of temperature. In analyzing such problems, there are mathematical difficulties. Therefore, the hybrid numerical scheme based on the Laplace transform and an improved discrete method was proposed to solve the present problem. The influence of thermoelastic parameters on the behavior of heat transfer in tissue has been investigated. The results depict the effect of thermal load on thermal response within heat transfer medium is obvious. The thermoelastic effect excites the thermal response oscillation, which is intensified for the reduction of material constant characteristic [Formula: see text] and phase lag [Formula: see text], in the heat conduction medium.