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Background Alexithymia is a key transdiagnostic risk factor for emotion-based psychopathologies. Conceptual models specify that this is because alexithymia impairs emotion regulation. However, the extent of these putative emotion regulation impairments remains underexplored. Our aim in this study was to begin to address this gap by examining whether people with high, average, or low levels of alexithymia differ in the types of emotion regulation strategies they typically use. Method General community adults from the United States (N = 501) completed a battery of alexithymia and emotion regulation measures. Participants were grouped into high, average, and low alexithymia quantiles. Results After controlling for demographics and current levels of distress, the high, average, and low alexithymia groups differed in their use of cognitive and behavioral emotion regulation strategies. Compared to the other groups, the high alexithymia group reported lesser use of generally adaptive regulation strategies (cognitive reappraisal, approaching problems, and seeking social support) and greater use of generally maladaptive regulation strategies (expressive suppression, behavioral withdrawal, ignoring). Limitations Our data were cross-sectional and from self-report questionnaires. Future work in other cultural groups would be beneficial. Conclusions Our results support the view that alexithymia is associated with impaired emotion regulation. In particular, people with high alexithymia seem to exhibit a less adaptive profile of emotion regulation strategies. Direct targeting of these emotion regulation patterns in psychotherapy may therefore be a useful pathway for the treatment of emotional disorder symptoms in people with high alexithymia. Available online 23 December 2022

Targeted medication delivery to the organ, tissue, or cells currently offers great opportunities in the field of drug therapy. Drug delivery systems (DDS) are essential for improving the efficacy of chemotherapy in cancer treatment. Chemotherapy is a subject of great interest since new drug delivery techniques are constantly being created. The ability of therapeutic agents to reach their intended sites and their low accumulation in non-specific sites (healthy organs and tissues) are both crucial components of anti-tumor chemotherapy success. As a result, the targeted distribution of medications to the organs, tissues, or cells is currently thought to provide wonderful prospective in the field of chemotherapy. The fundamental idea behind targeted delivery is that molecules that can be recognised by a specific receptor on cells or target sites can be used to modify delivery systems (such as the vector, containers, and others) rather than just the medication itself. These are therefore referred to as "targeted drug delivery systems." Yet, the development of multifunctional nanocarriers, such as nanoparticles, liposomes, micelles, dendrimers, and others, can greatly improve the effectiveness of numerous therapeutic and diagnostic procedures.

In this work, aim is to collect time series data for Normalized Difference Vegetation Index (NDVI) band using google earth engine (GEE) and MOD13A1 V6.1 product for the region of Uttarakhand, Uttarakhand districts and Himachal Pradesh. Thereafter investigation and comprehension of the viability of using MODIS NDVI satellite data time series to identify trends and give a forecast model. Time series data was collected using Google Earth Engine for NDVI indices for the period of the year 2010 to 2022. Trend analysis and time series analysis were performed for collected data. NDVI time series data set is collected using GEE for Uttarakhand state, its districts and Himachal Pradesh State. The Mann- Kendell (MK) method is used to find trend analysis of above regions. NDVI time series data is divided into train and test dataset. Five forecasting models are used to forecast NDVI time series dataset i.e., Long short-term memory (LSTM), Bidirectional Long short-term memory (BiLSTM), Support vector regression (SVR), Autoregressive Integrated Moving (ARIMA), Adaptive Neuro fuzzy interference system (ANFIS) models are trained using train data and are used to generate the predicted value. The predicted value is then compared with test data using various metrics for forecasting NDVI times series. Trend analysis of NDVI shows an increasing trend in NDVI values for Uttarakhand and its districts as well as Himachal Pradesh. ANFIS model resulted R2 value of 0.6702, Stacked LSTM model resulted R2 value of 0.7541, Bidirectional LSTM model resulted with highest R2 value of 0.8365, Autoregressive Integrated Moving Average (ARIMA) model resulted with lowest R2 value of 0.153, SVR model resulted with R2 value of 0.6719.

BACKGROUND Sleep bruxism (SB) is an oral behavior that is characterized by high levels of repetitive jaw muscle activity and may develop into a disorder. The etiology of SB is not well understood, and there is currently no curative treatment for SB. Several studies have suggested associations between SB and maladaptive emotion regulation (ER). OBJECTIVE The aim of this study is to test whether ER is impaired in individuals with SB. METHODS To more directly probe these associations, this study measured trait and state SB and ER alongside affect and sleep variables. We collected self-reported and physiological data, using individual-difference questionnaires and 14-day ecological momentary and ambulatory assessments. We will test for maladaptive ER in terms of strategy use frequency and effectiveness as a function of SB while controlling for affect and sleep. RESULTS This research received funding in April 2017. Data collection took place from August 2020 to March 2022. 238 participants were eligible and completed the study. Data analysis has not yet started. CONCLUSIONS We hope that the effort to thoroughly measure SB and ER using gold-standard methods and cutting-edge technology will advance knowledge of SB as well as more effective interventions through ER to alleviate the pain and distress of those impacted. CLINICALTRIAL 1R01DE026771-01

In India, around 20 million workers are engaged in the textile industries. However, the prevalence of byssinosis has been little reported.To determine the prevalence of byssinosis and other respiratory disorders among workers exposed to cotton dust in textile mills in Delhi, India.Sputum samples were collected from 156 workers employed in 15 cotton textile mills, and expression of epithelial membrane antigen (EMA) and cytokeratin (CK) marker proteins was investigated. Information regarding respiratory symptoms, certain personal characteristics and occupational history was also gathered.Symptoms were observed in 56.41% of the workers. Expression of EMA and CK was observed in 27.5% and 50% of the workers, respectively. Expression of EMA and CK was significantly associated with smoking and duration of employment.Measures are needed to reduce dust levels in the workplace, and to discourage smoking and alcohol consumption among the textile workers.الدليل على المستضدات الغشائية الظهارية والكيراتينات الخلوية بين العمال الهنود المعرضين لغبار الألياف القطنية في صناعات النسيج.أشيش مهتا، سعود عزام، أرشد رحماني، مشاهد رزفي، أشيش ماندال.يعمل في الهند نحو 20 مليون عامل في صناعات النسيج. ومع ذلك، لم يتم الإبلاغ عن معدل انتشار السُحار القُطْنِيّ (حَُّى حَلْج القُطْن) إلا قليلاً.هدفت هذه الدراسة إلى تحديد مدى انتشار السُحار القُطْنِيّ والأمراض التنفسية الأخرى بين العمال المعرضين لغبار القطن في مصانع النسيج بمدينة دلهي، الهند.جُعت عينات البلغم من 156 عاملاً يعملون في 15 مصنعًا للمنسوجات القطنية، وتم فحص الدليل على علامات البروتين في المستضدات الغشائية الظهارية والكيراتينات الخلوية. كما جُعت معلومات عن الأعراض التنفسية وبعض السمات الشخصية والتاريخ المهني.لُوحِظت أعراض لدى 56.41٪ من العمال. ولُوحِظَ دليل على المستضدات الغشائية الظهارية والكيراتينات الخلوية لدى 27.5٪ و50٪ من العمال على التوالي. وارتبط الدليل عليهما ارتباطًا كبيرًا بالتدخين ومدة العمل.يلزم اتخاذ تدابير للحدّ من مستويات الغبار في مكان العمل، والثَنْي عن التدخين وتعاطي الكحول بين عمال النسيج.Expression de l'antigène de la membrane épithéliale et de la cytokératine chez les travailleurs indiens exposés à la poussière de fibres de coton dans les industries textiles.En Inde, près de 20 millions de personnes travaillent dans les industries textiles. Cependant, la prévalence de la byssinose a été peu signalée.Déterminer la prévalence de la byssinose et d'autres troubles respiratoires chez les travailleurs exposés à la poussière de coton dans les usines textiles de Delhi (Inde).Des échantillons d'expectorations ont été recueillis auprès de 156 travailleurs dans 15 usines textiles de coton, et l'expression des protéines marqueurs de l'antigène de la membrane épithéliale et de la cytokératine a été étudiée. Des informations concernant les symptômes respiratoires, certaines caractéristiques personnelles et les antécédents professionnels ont également été collectées.Des symptômes ont été observés chez 56,41 % des travailleurs. L'expression de l'antigène de la membrane épithéliale et de la cytokératine a été observée chez 27,5 % et 50 % des travailleurs, respectivement. Celle-ci était fortement associée au tabagisme et à la durée d'emploi.Des mesures sont nécessaires pour réduire les niveaux de poussière sur le lieu de travail, et afin de décourager le tabagisme et la consommation d'alcool parmi les travailleurs du textile.

Cell delivery is a major determinant of success in mesenchymal stem cell (MSC) therapies. Cellular modifications and biomaterial-assisted approaches can enhance the engraftment, retention, and survival of implanted cells for improved tissue repair.

Background: Hypothyroidism can be understood and assessed on the basis of Agni, Doshas, Dushyas, Sthanas and Srotasas. In Ayurveda Vamana and Virechana Karma is considering as best line of Shodana procedures for the removal of toxin materials from the human body. Hypothyroidism occurs because of hypo functioning of thyroid gland which is located in neck region and even most of the signs and symptoms prove the involvement of Kapha Sthana and Kapha Dosha. So, in the present clinical research, Vamana and Virechana karma of Panchkarama will be selected as clinical tool to check its impact on Hypothyroidism (Galaganda). Aim and Objectives: To explore Vamana & Virechana Karma regarding their Clinical Importance. To validate Vamana & Virechana Karma as an effective mode of treatment in the management of Hypothyroidism. Methodology: 90 (45 in each group) patients will be selected by randomized reference standard controlled single blind double arm clinical trial, and third party will assign and enlist the patient. In Group A (Control) – Standard/ Control Group treated with Thyroxin and Group B (Experimental) – Intervention Group treated with Vamana and Virechana Karma. The evaluation will be recorded on 0 30, 60, 90, 120, 150, 180 days. Results: Changes will be observed in objective outcomes. Conclusion: Vamana and Virechana will be effective in Hypothyroidism.

COVID-19 has affected negatively day to day life and global economy. Considering need for search of immunity modulator drugs for fighting this virus, Ayurvedic treatment was planned. 30 year old female patient, having history of the hypertension was diagnosed as a case of COVID-19 through RT-PCR. AYUSH Kwath (20 ml OD for 7 days), Sanshamani vati(2BD for 7 days), Sudarshan churn (3gm for14 days), Vit –C and Azithromycin given orally for 5 days. RT-PCR sample result was found COVID negative on 7th day of treatment. Antipyretic, anti-inflammatory, immune-modulatory activities were documented earlier of used medications which have shown beneficial result in present case also. Orally administered, add on Ayurvedic formulation exerted symptomatic relief in symptomatic COVID-19 case with pitta-kapha prakriti having co-morbidity of Hypertension. RCT needs to be conducted to validate result in larger sample which will generate evidence for support.

The classification of nonlinear problems, single Multiplicative Neuron model is used. Several different databases like Fisher’s Iris database, wiconsin Breast Cancer, Mammographic Mass and Pima Indian have selected for study. The measure of dispersion has been found of all datasets by measuring standard deviation and range of dataset. The classification results of all problems compared and comparative analysis has been made of all datasets, considering several elements of Neural Network such as number of epochs, cost function, MSE and misclassification rate. After comparing various performance parameters mainly misclassification rate with measures of dispersion, it is found that misclassification rate of multiplicative neuron model depends only patterns of datasets. Seeing the results of study, it can be said that classification rate does not depend on the measure of dispersion (Standard deviation and Range) of datasets.

In the present article, two-dimensional “Spiking Neuron Model” is being compared with the fourdimensional “Integrate-and-fire Neuron Model” (IFN) using error correction back propagation learning algorithm (error correction learning). A comparative study has been done on the basis of several parameters like iteration, execution time, miss-classification rate, number of iterations etc. The authors choose the five-bit parity problem and Iris classification problem for the present study. Results of simulation express that both the models are capable to perform classification task. But single spiking neuron model having two-dimensional phenomena is less complex than Integrate-fire-neuron, produces better results. On the contrary, the classification performance of single ingrate-and-fire neuron model is not very poor but due to complex four-dimensional architecture, miss-classification rate is higher than single spiking neuron model, it means Integrate-and-fire neuron model is less capable than spiking neuron model to solve classification problems.

Background Preferential utilization of fatty acids for ATP production represents an advanced metabolic phenotype in developing cardiomyocytes. We investigated whether this phenotype could be attained in human induced pluripotent stem cell derived cardiomyocytes (hiPSC-CMs) and assessed its influence on mitochondrial morphology, bioenergetics, respiratory capacity and ultra-structural architecture. Methods and results Whole-cell proteome analysis of day 14 and day 30-CMs maintained in glucose media revealed a positive influence of extended culture on mitochondria-related processes that primed the day 30-CMs for fatty acid metabolism. Supplementing the day 30-CMs with palmitate/oleate (fatty acids) significantly enhanced mitochondrial remodeling, oxygen consumption rates and ATP production. Metabolomic analysis upon fatty acid supplementation revealed a β-oxidation fueled ATP elevation that coincided with presence of junctional complexes, intercalated discs, t-tubule-like structures and adult isoform of cardiac troponin T. In contrast, glucose-maintained day 30-CMs continued to harbor underdeveloped ultra-structural architecture and more subdued bioenergetics, constrained by suboptimal mitochondria development. Conclusion The advanced metabolic phenotype of preferential fatty acid utilization was attained in hiPSC-CMs, whereby fatty acid driven β-oxidation sustained cardiac bioenergetics and respiratory capacity resulting in ultra-structural and functional characteristics similar to those of developmentally advanced cardiomyocytes. Better understanding of mitochondrial bioenergetics and ultra-structural adaptation associated with fatty acid metabolism has important implications in the study of cardiac physiology that are associated with late-onset mitochondrial and metabolic adaptations.

Background Ever since alexithymia was defined in the 1970s, robust associations have been observed between alexithymia and a variety of symptoms of psychopathology. Alexithymia is now widely regarded as an important transdiagnostic risk factor, and it is frequently assessed in clinical and research settings. However, despite this strong interest, it remains unclear exactly why (i.e., by which mechanisms) alexithymia is linked to psychopathology. In this paper, we hypothesise that alexithymia is linked to affective disorder symptoms because alexithymia impairs people's ability to regulate their emotions, and we empirically test this hypothesis. Method We administered a battery of psychometric measures to 501 adults in the United States, and examined the direct and indirect effects between alexithymia (Perth Alexithymia Questionnaire), emotion regulation ability (Perth Emotion Regulation Competency Inventory), and affective disorder symptoms (Depression Anxiety Stress Scales-21). Results In the Pearson bivariate correlation matrix, alexithymia, emotion regulation difficulties, and affective disorder symptoms were all significantly correlated. In the modelling of direct and indirect effects, alexithymia was indirectly associated with affective disorder symptoms through emotion regulation difficulties (no significant direct effect). Limitations Our online survey data were all self-report data and cross-sectional. Future longitudinal work would be beneficial. Conclusions Our findings support contemporary theorising that alexithymia is linked to affective disorder symptoms via emotion regulation difficulties. These results help to clarify the mechanisms by which alexithymia may predispose people to affective disorder symptoms, and highlight the importance of considering the roles of alexithymia and emotion regulation in case conceptualisations and treatment planning.

BACKGROUND Youper is a widely used, commercially available mobile app that uses artificial intelligence therapy for the treatment of anxiety and depression. OBJECTIVE Our study examined the acceptability and effectiveness of Youper. Further, we tested the cumulative regulation hypothesis, which posits that cumulative emotion regulation successes with repeated intervention engagement will predict longer-term anxiety and depression symptom reduction. METHODS We examined data from paying Youper users (N=4517) who allowed their data to be used for research. To characterize the acceptability of Youper, we asked users to rate the app on a 5-star scale and measured retention statistics for users’ first 4 weeks of subscription. To examine effectiveness, we examined longitudinal measures of anxiety and depression symptoms. To test the cumulative regulation hypothesis, we used the proportion of successful emotion regulation attempts to predict symptom reduction. RESULTS Youper users rated the app highly (mean 4.36 stars, SD 0.84), and 42.66% (1927/4517) of users were retained by week 4. Symptoms decreased in the first 2 weeks of app use (anxiety: d=0.57; depression: d=0.46). Anxiety improvements were maintained in the subsequent 2 weeks, but depression symptoms increased slightly with a very small effect size (d=0.05). A higher proportion of successful emotion regulation attempts significantly predicted greater anxiety and depression symptom reduction. CONCLUSIONS Youper is a low-cost, completely self-guided treatment that is accessible to users who may not otherwise access mental health care. Our findings demonstrate the acceptability and effectiveness of Youper as a treatment for anxiety and depression symptoms and support continued study of Youper in a randomized clinical trial.

Virtual machine is one of the major areas of infrastructure as a service in cloud computing. The VM provision for service provider and user should be inexpensive. In last decades, number of scientists proposed various schemes. There is less opportunity for the service provider to use from the resource pooling. Cloud computing is providing hosting service over Internet, and to service provider, number of request of resource can be served using Internet. Recently, resource management is required to maintain autoscaling of resource and improving the efficiency of resource in cloud computing. There are various approaches available for workload predication that is based on single model approach. It is very critical to find the result on the basis of traditional model. Different methods and techniques were analyzed by us in order to identify the virtual machine allocation. We have defined a new dynamic resource allocation and policy-based improvement of the effective management of the resources. Our proposed implementation shows a better performance and improves the VM allocation with accuracy and less time consuming.

Aim Prediction of length of stay (LOS) among preterm neonates is important for counselling of parents and for assessing neonatal intensive care unit (NICU) census and economic burden. The aim of this study is to evaluate perinatal and postnatal factors that influence LOS in preterm infants (25-33 weeks of gestation) admitted to participating NICUs of Indian National Neonatal Collaborative (INNC). Methods From the INNC database, the data which were prospectively entered using uniformed pre-defined criteria were analysed. Results A total of 3095 infants were included from 12 centres. Every week decrease in gestation increased LOS by 9 days. The median LOS for infants with gestational age of 25, 26, 27, 28, 29, 30, 31, 32 and 33 weeks were 86, 70, 62, 52, 40, 30, 23, 16 and 10 days, respectively. On multivariate analysis, abnormal antenatal umbilical artery doppler, severe small for gestational age (SGA), requirement of resuscitation, respiratory distress syndrome (RDS), seizures, sepsis, necrotising enterocolitis (NEC), major malformations and bronchopulmonary dysplasia (BPD) increased LOS by 5.4 (3.5-7.4), 21.6 (19-23.9), 4.7 (3.3-6.1), 3 (1.7-4.3), 15.2 (8.5-22.1), 11.2 (9.1-13.2), 9.8 (5.2-14.4), 8.8 (4.4-13.3) and 5.6 (0.5-10.7) days, respectively. Conclusions Apart from lower gestation and birth weight, abnormal antenatal umbilical artery doppler, severe SGA, resuscitation need, major malformations, RDS, seizures, sepsis, NEC and BPD influenced LOS in preterm infants. In comparison with other networks or data from developed countries, LOS in our network was comparatively less for similar gestational age infants.

Purpose: The purpose of this study is to develop a conceptual framework with related analysis methodologies that identifies the influence of social environment on an established cropping system.Design/methodology/approach: A stratified survey including 103 villages and 823 farmers was conducted in all districts of Haryana (India). Firstly, technical efficiency (TE) was modeled using biophysical data including grain yield, seeding rate, wheat varieties, tillage, sowing date, seed source, harvesting method and the application of fertilizer, herbicide and irrigation. The relationship between TE and social community factors such as farm size, farmer age, level of education and agricultural support programs was analyzed by regression tree.Findings: TE was lower with the farmers who only have education to a primary standard. Farmers with high TE scores were mostly between 35 and 40 years of age, and a higher TE association was common for farmers who use technical publications. Social individual factors ...

Spontaneous coronary artery dissection (SCAD) is a non-atherosclerotic form of coronary artery disease of unknown cause that predominantly affects women (>90%; mean age 44–55 years) and can be fatal. The finding of familial clustering, including the concordant involvement of monozygotic twins, and its association with the PHACTR1/EDN1 genetic locus, indicate a genetic predisposition to its pathophysiology. A human induced pluripotent stem cell line (hiPSC) was generated from a patient who had survived an episode of SCAD. This disease-specific hiPSC line will be useful for the study of SCAD after differentiation into blood vessel-forming cells. Keywords: SCAD, Induced pluripotent stem cells, Disease modeling, Cardiovascular biology, Reprogramming

In the present research article, single Multiplicative Neuron Model (MNM) is compared with Single Spiking Neuron Model (SNM) using back propagation learning algorithm. The authors employed IRIS and Breast Cancer Wisconsin datasets for training and testing these models. Simulation results reveal that for both the datasets, MNM model is capable to perform classification task in less iteration than SNM model i.e. the former gets trained more quickly. On the contrary, the classification performance in terms of various parameters of an artificial neural network of MNM model found to be poorer than that of SNM model for both the datasets being studied. Furthermore, the results also show that miss-classification rate is higher in MNM model.

For some American voters, the news of Mr. Trump's victory in the 2016 presidential election caused recurrent emotions that were negative, persistent, and intense enough to elicit repeated attempts at emotion regulation. This afforded a rare opportunity to analyse the regulation of recurrent emotions in a natural, non-laboratory context. The regulation of recurrent emotion involves additional considerations relative to single-instance emotion, such as representations of past and future encounters with the emotion-eliciting variables, ongoing consequences of each regulatory episode, and a tendency to repeatedly deploy emotion regulation strategies that one is most familiar with in the context of the particular recurrent emotion. Despite the ubiquitous nature of recurrent emotions, its associated regulatory processes have been infrequently examined and are not well-understood. Over eight days (11/10/16-11/18/16), we administered four surveys to 202 participants who voted against Mr. Trump. We examined the determinants and outcomes of regulatory strategies in the context of recurrent emotion. We found that (1) reappraisal (compared to distraction and acceptance) was associated with greater decline in emotion intensity, (2) high-intensity emotions were more likely to be distracted, whereas low-intensity emotions were more likely to be reappraised, and (3) strategy variability was associated with greater affective adaptation.

Mechanisms determining intrinsic differentiation bias inherent to human pluripotent stem cells (hPSCs) toward cardiogenic fate remain elusive. We evaluated the interplay between ErbB4 and Epidemal growth factor receptor (EGFR or ErbB1) in determining cardiac differentiation in vitro as these receptor tyrosine kinases are key to heart and brain development in vivo. Our results demonstrate that during cardiac differentiation, cell fate biases exist in hPSCs due to cardiac/neuroectoderm divergence post cardiac mesoderm stage. Stage-specific up-regulation of EGFR in concert with persistent Wnt3a signaling post cardiac mesoderm favors commitment toward neural progenitor cells (NPCs). Inhibition of EGFR abrogates these effects with enhanced (>twofold) cardiac differentiation efficiencies by increasing proliferation of Nkx2-5 expressing cardiac progenitors while reducing proliferation of Sox2 expressing NPCs. Forced overexpression of ErbB4 rescued cardiac commitment by augmenting Wnt11 signaling. Convergence between EGFR/ErbB4 and canonical/noncanonical Wnt signaling determines cardiogenic fate in hPSCs.

We investigate the effects of myocardial transplantation of human induced pluripotent stem cell (iPSC)‐derived progenitors and cardiomyocytes into acutely infarcted myocardium in severe combined immune deficiency mice. A total of 2 × 105 progenitors, cardiomyocytes or cell‐free saline were injected into peri‐infarcted anterior free wall. Sham‐operated animals received no injection. Myocardial function was assessed at 2‐week and 4‐week post‐infarction by using echocardiography and pressure‐volume catheterization. Early myocardial remodelling was observed at 2‐week with echocardiography derived stroke volume (SV) in saline (20.45 ± 7.36 μl, P < 0.05) and cardiomyocyte (19.52 ± 3.97 μl, P < 0.05) groups, but not in progenitor group (25.65 ± 3.61 μl), significantly deteriorated as compared to sham control group (28.41 ± 4.41 μl). Consistently, pressure–volume haemodynamic measurements showed worsening chamber dilation in saline (EDV: 23.24 ± 5.01 μl, P < 0.05; ESV: 17.08 ± 5.82 μl, P < 0.05) and cardiomyocyte (EDV: 26.45 ± 5.69 μl, P < 0.05; ESV: 18.03 ± 6.58 μl, P < 0.05) groups by 4‐week post‐infarction as compared to control (EDV: 15.26 ± 2.96 μl; ESV: 8.41 ± 2.94 μl). In contrast, cardiac progenitors (EDV: 20.09 ± 7.76 μl; ESV: 13.98 ± 6.74 μl) persistently protected chamber geometry against negative cardiac remodelling. Similarly, as compared to sham control (54.64 ± 11.37%), LV ejection fraction was preserved in progenitor group from 2‐(38.68 ± 7.34%) to 4‐week (39.56 ± 13.26%) while cardiomyocyte (36.52 ± 11.39%, P < 0.05) and saline (35.34 ± 11.86%, P < 0.05) groups deteriorated early at 2‐week. Improvements of myocardial function in the progenitor group corresponded to increased vascularization (16.12 ± 1.49/mm2 to 25.48 ± 2.08/mm2 myocardial tissue, P < 0.05) and coincided with augmented networking of cardiac telocytes in the interstitial space of infarcted zone.