design

Introduction: We aim to evaluate the performance of pre-treatment MRI-based habitat imaging to segment tumor micro-environment and its potential to identify patients with esophageal cancer who can achieve pathological complete response (pCR) after neoadjuvant chemoradiotherapy (nCRT).Material and methods: A total of 18 patients with locally advanced esophageal cancer (LAEC) were recruited into this retrospective study. All patients underwent MRI before nCRT and surgery using a 3.0 T scanner (Ingenia 3.0 CX, Philips Healthcare). A series of MR sequences including T2-weighted (T2), diffusion-weighted imaging (DWI), and Contrast Enhance-T1 weighted (CE-T1) were performed. A clustering algorithm using a two-stage hierarchical approach groups MRI voxels into separate clusters based on their similarity. The t-test and receiver operating characteristic (ROC) analysis were used to evaluate the predictive effect of pCR on habitat imaging results. Cross-validation of 18 folds is used to test the accuracy of predictions.Results: A total of 9 habitats were identified based on structural and physiologic features. The predictive performance of habitat imaging based on these habitat volume fractions (VFs) was evaluated. Students’ t-tests identified 2 habitats as good classifiers for pCR and non-pCR patients. ROC analysis shows that the best classifier had the highest AUC (0.82) with an average prediction accuracy of 77.78%.Conclusion: We demonstrate that MRI-based tumor habitat imaging has great potential for predicting treatment response in LAEC. Spatialized habitat imaging results can also be used to identify tumor non-responsive sub-regions for the design of focused boost treatment to potentially improve nCRT efficacy.

Urinary Tract Infection (UTI) is very common in our community most specifically in married females with numerous antecedent risk factors. The aim of the study was to find out about the current risk factors and clinical profile of urinary tract infections in patients admitted to the cardiology ward of Afghan Momand Medical Complex for various purposes.It was a cross-sectional descriptive hospital-based study including both male and female patients visiting the Afghan Momand Medical Complex from January 2022 to June 2022. Of all 960 patients, 202 (21%) patients had urinary tract infections with gender distribution as 69 (34.2%) males and 133 (65.8%) females. In fact, 33 (16.3%) patients with urinary tract infections were single while the rest 169 (83.7%) patients were married. In addition, regarding clinical profile, the following clinic was respectively more prevalent: Dysuria in 120 (59.4%) patients, flank pain in 73 (36.1%) patients, urine frequency in 67 (33.1%) patients, urgency in 36 (17.8%) patients, fever in 24 (11.8%) patients, and nausea and vomiting in 19 (9.4%) patients. Moreover, the following risk factors were respectively the most common ones: Diabetes mellitus 86 (42.5%), pregnancy 30 (14.9%), stones 15 (7.4%), 10 (4.9%) devices, 10 (4.9%) prostatic hyperplasia, and 4 (2%) anatomical anomalies.Urinary tract infection is a common disease in the admitted patients in Afghan Momand Medical Complex specifically being more common in females and early 20s of the age. In fact, diabetes, pregnancy, and kidney stones were the leading associated factors with UTI. Moreover, dysuria, bladder emptying irritative symptoms, and abdominal pain were the most prevalent clinical profile of the patients. Special attention should be paid to infectious diseases in cardiac patients since infection itself is a stress and a threat to such patients and authorities should design special measures to prevent UTI in the general population to avoid a sum of burden on the health system.

Background: Cervical Cancer poses a significant global health challenge, especially in lowresource settings. It is a significant health problem worldwide, with over half a million new cases diagnosed each year, accounting for approximately 6.6% of all gynecological Cancer cases and over 300,000 deaths each year. In Zambia, it is the leading cause of mortality and morbidity among women. The number of cases has increased by approximately 40%. This study explored the lived experiences of Cervical Cancer patients undergoing chemotherapy at the Cancer Diseases Hospital in Lusaka, Zambia, focusing on their subjective experiences. By examining their journeys through chemotherapy, the study aimed to highlight the subtle complexities in which treatment impacts patients’ lives and well-being.  Methods and procedures: Employing a qualitative descriptive phenomenological study design, in-depth interviews were conducted with 10 participants with diverse demographics. The sample size was determined by data saturation and saturation was reached at 10. Ethical protocols were ensured, and Study approval was obtained from UNZABREC and the National Health Research Authority. Thematic analysis was conducted on audio-recorded interviews with cervical cancer patients, ensuring confidentiality and accuracy while discerning significant patterns and themes in their narratives. Results/findings: Emotional experiences ranged from anxiety to gratitude. Psychological challenges encompassed coping mechanisms, stress management, emotional adjustments, and treatment-related fears. Socially, community support, workplace accommodations, and healthcare provider roles were key. Physical experiences revealed side effects managed through coping strategies. Financial challenges significantly impacted individuals and families.  Conclusions and recommendations: The study revealed that cervical cancer patients undergoing chemotherapy face complex challenges spanning emotional, psychological, social, physical, and financial domains, underscoring the imperative for comprehensive patient-centered care. Recommendations suggest focusing on financial aid for cancer patients and tackling treatment expenses and insurance issues. The Cancer Diseases Hospital should establish multidisciplinary teams for holistic care, and enhance patient education efforts. Nurses should adopt strategies integrating cultural competence and patient-centered care to address diverse challenges during chemotherapy. These aim to enhance the well-being and care quality of Cervical Cancer patients.

Background: Delaying or slowing functional loss is a valuable goal of Multiple Sclerosis (MS) rehabilitation. The mHealth app-based exercise rehabilitation intervention is expected to overcome barriers related to routine care of MS. Due to the ubiquitous presence of smartphones, they offer an excellent opportunity for remote monitoring, scheduled interaction with experts, and instruction for exercise in a home environment. Challenges in MS routine care include forgotten rehabilitation steps, limited access to local MS experts, and internal barriers such as low health literacy, mobility limitations, and fatigue, alongside external obstacles like service availability and transport costs.Objectives: To develop a mHealth app that is user-centered and context-specific for rehabilitation of MS symptoms, and to evaluate its clinical and cost effectiveness in individuals with RRMS.Methods: The proposed research will be conducted in two phases; the first phase (Phase 1a) will be focused on the development of mHealth app content (ReMiT-MS app trial I). The pilot phase (Phase 1b), where a prototype of the application will be designed, and its usability will be evaluated. Finally, in the second phase (Phase 2), the clinical and cost-effectiveness of the ReMiT-MS app for the rehabilitation of individuals with RRMS will be evaluated (ReMiT-MS app trial II).Conclusion: The findings of this proposed trial may provide a telerehabilitation platform for individuals with RRMS in a resource-limited setting and establish a low-cost healthcare delivery model. In addition, the results of this research work might open a new window in healthcare delivery in India and similar settings.Trial registration:  CTRI/2022/09/045266 [Registered on 06/09/2022]

This paper reviews the transformative impact of Artificial Intelligence (AI) on civil engineering. It explores AI's fundamental concepts and its applications across structural analysis, construction management, transportation, geotechnical engineering, and sustainability. The review highlights AI's role in automating tasks, predicting outcomes, and optimizing designs throughout project lifecycles. Recent advancements in AI-driven technologies for structural health monitoring, predictive maintenance, and risk assessment are discussed, along with challenges like data quality and model interpretability. Future trends such as autonomous construction and digital twins are examined, emphasizing the need for continued research and interdisciplinary collaboration. In conclusion, this paper offers insights for leveraging AI to address evolving challenges and opportunities in civil engineering, fostering innovation, sustainability, and resilience in infrastructure development.

In the context of the global pandemic, public health screening has become paramount as the whole world including developed countries is going through a health crisis. A face mask prevents transpiration and protects against airborne transmitted bacteria or viruses. In the previous scenario of coronavirus, it was critical to eradicate this sickness and preserve our lives. Hence, prevention is better than cure becomes true. Accordingly, many precautionary measures were taken to reduce the spread of the virus. One such method of prevention is wearing a mask and regular monitoring of body temperature. This research dealt with the design and construction of an automatic entry barrier machine that integrates both facemask detection and scanning of individuals exhibiting elevated body temperature functionalities without any human interference. This was accomplished by simulating and synergizing a microprocessor (Raspberry Pi 3 Model B+), a Pi camera, an Infrared Non-contact Temperature sensor, a servo motor, and other components. The barrier arm opens and allows entrance at normal temperature by indicating a green light, displaying ‘allow’ on the LCD, and signaling once or preventing entrance at an elevated unacceptable temperature by indicating a red light, displaying ‘not allowed’ on the LCD, and signaling five (5) times.

Bean cultivation is vital to the global food and economy, especially in Brazil. Facing challenges from diseases that affect production, it is crucial to seek new strategies to maintain productivity and sustainability. Melaleuca alternifolia, known as the tea tree due to its medicinal properties, has little explored potential in controlling diseases in bean plants. The objective of this work was to evaluate the effectiveness of tea tree essential oil in controlling diseases in bean cultivation. In vitro tests were carried out to evaluate bacterial growth, at concentrations of (0.0%, 0.05%, 0.1%, 0.5%, 1% and 2%). And antibiogram with the bacteria Xanthomonas axonopodis pv. phaseoli, in different concentrations (0.0%, 0.05%, 0.1%, 0.5%, 1%, 2% and 3%). For the fungus Pseudocercospora griseola, sporulation tests were carried out, using direct and indirect methods, at concentrations of (0.0%, 0.05%, 0.1%, 0.5%, 1%, 2%, and 3%). Furthermore, for the fungus Colletotrichum lindemuthianum, mycelial growth tests were carried out with the same concentrations. The experiments took place in vivo, with a completely randomized statistical design, involving five replications per treatment and concentrations varying from (0.0%, 0.05%, 0.1%, 0.5%, 1% and 2%). Disease incidence was assessed using a diagrammatic scale, disease severity, Area under the Disease Progress Curve (AACPD) and Area under the Incidence Progress Curve (AACPI). Melaleuca Essential Oil (EO) inhibited the development of fungi and bacteria in in vitro tests starting at 0.5%. In vivo, Melaleuca Essential Oil (EO) showed a significant reduction in the incidence and severity of the disease from 0.5% in both fungi and bacteria. Melaleuca EO can be an effective alternative for disease control in bean cultivation. 

The overall human fertility rate has been continuously declining across the globe for a number of reasons. This review summarizes data, which proposes that the use of disposable diapers for newborns and infants may incur reproductive harm in adulthood. More than 70 years ago, a disposable synthetic waterproof baby diaper was developed, mainly to reduce the burden of working mothers. Modern diapers feature the same original design, which contains one unit of disposable material wrapped around the perineum to collect urine and feces. This design results in an increase in internal area temperatures by 2-4 °C, which can be detrimental to the function and development of reproductive cells. Moreover, the standard diaper template promotes the free passage of feces, including fecal bacteria, to the genitals, which can lead to urogenital infection and reproductive impairments. The available clinical data suggest that diaper use during infancy may have a negative impact on fertility after puberty. There is a critical need for additional studies to better assess the impact of diapers on reproductive health.

This research centered on the transition from sustainability to the post-COVID-19 era, significantly altered and transformed cities, city plans, and housing models holistically approach. Although the academic world concentrating on sustainable urban and housing design since the 1990s, the pandemic has emerged as a critical paradigm shift in context since 2019. During the COVID-19 period the Paris city 15 minutes concept, first introduced by Paris Mayor A. Hidalgo initially sparked controversy as temporary now considered permanent in Paris recently, Oxford. In the post-pandemic era, sustainability has become significant on the global agenda, shaping cities, city models, and residences through profound and radical changes. Some efforts are supported by Climate-change conferences in the world and subsequently some determinations like the Paris Agreement and UN declarations that guide more livable environments and houses. Due to COVID-19 the newly emerged conditions and compulsory changes that have taken place in the cities the social isolation, distance living, and remote working led to radical changes in the living style, environment, city plans, housing models, and typologies holistically. Although many publications have been published in the last few years about the pandemic and the Paris City 15 minutes concept, they only address the city and urban scale solutions. There is no research with a holistic approach that relates the subject from the urban scale to the architectural scale, housing, and blocks. Within the 15-minute concept, searched, developed, innovative, and sustainable urban and housing-oriented suggestions for cities in the future are presented at the end of the research. In conclusion, it is revealed that the issue of sustainability has gained importance with an increasing momentum in the world agenda, witnessed the radical changes in cities and residences, in the post-COVID-19 period in the last 2-3 years.

The study is based on the characterization of different AI models applied in the public furniture design analyzing the conditions of risk, materiality, and integration of variables in two AI generative modeling algorithms. As risky since they contain flood-prone areas, low vegetation coverage, and underdevelopment of infrastructure; therefore, these characterizations are tested through artificial simulation. The experimental method is applied through laboratory tests of various material components and their structuring in 3D simulators to check their resistance and risk scenarios. The case study of one of the most risky and populated areas of the informal settlement area of the Northwest of Guayaquil, such as the Coop, is analyzed. Sergio Toral is the focal point for on-site testing. It is concluded that the generation of a planned scheme of ecological furniture with different materials responds more effectively to the territory and that through artificial simulation an advantage can be obtained in terms of execution time and results, thus demonstrating that artificial intelligence is an ideal tool. To generate furniture design proposals that are more diverse, innovative, and functional with the environment, but it generates a minimum level of error for specific designs in the experimental model_01 of 0.1% to 3% and a high level in the experimental model_02 with an increasing error from 20% to 70%. As a future line of research, it is proposed to generate a simulated system of all the new informal settlements in Guayaquil and establish focal points for the implementation of new ecological furniture.

This study aimed to investigate the effects of colchicine treatment on the reproductive traits and grain yield of two species of Acha, Digitaria exilis and Digitaria iburua. Colchicine, a mitotic inhibitor, is known for inducing polyploidy and altering plant characteristics. The study focused on evaluating number of spikes, spike length, number of seeds per spike, and grain yield per hectare. The experiment was conducted in a randomized complete block design with three replications. The treatment groups included colchicine-treated plants at varying concentrations (0.05, 0.10, 0.15, and 0.20 g/dL) and control plants (untreated). The colchicine treatment involved the soaking of both Acha species in the colchicine solution for a period of 24 hours. While the control groups were soaked in distilled water. The results showed that colchicine treatment significantly affected the agronomic traits and grain yield of both Digitaria exilis and Digitaria iburua. Colchicine treatment led to an increase in the number of spikes (5.80 and 9.90 for D. exilis and D. iburua respectively), spike length (13.60 cm and 19.50 cm for D. exilis and D. iburua respectively), and number of seeds per spike (168.30 and 253.30 for D. exilis and D. iburua respectively), compared to the control group. Additionally, the grain yield per hectare was significantly higher (427.80gha-1 and 2126.70gha-1 for D. exilis and D. iburua respectively) in the colchicine-treated group. These findings suggest that colchicine treatment can effectively enhance the agronomic traits and grain yield of both Digitaria exilis and Digitaria iburua. The induced polyploidy through colchicine treatment likely contributed to the observed improvements in plant productivity. Further research is warranted to investigate the underlying mechanisms and to optimize the colchicine treatment protocol for Acha cultivation and improvement.

Introduction: Extracellular Traps (ETs) are fibers composed of chromatin and cytoplasmic proteins, which can trap and kill pathogens by the phenomenon called ETosis. They are released by neutrophils, macrophages, and monocytes, and can be found in semen. The aim of this presentation is to evidence of the indirect effect of SARS-CoV-2 in semen by ETs.Patients and methods: Experimental design: retrospective descriptive observational study.Semen samples from two groups were studied following WHO guidelines: 1) SARS-CoV-2 infected donors (n: 5; at 7, 15, 30, 60, and 90 days after PCR diagnosis); 2) COVID-19 positive patients assisted in our laboratory between 2021 and 2022 (n: 70). They were observed in fresh and in Papanicolaou-stained smears by CASA and light microscopy; the presence of macrophages, spermiophages, ETs and hyperviscosity were recorded while neutrophilic concentration was calculated. Two control groups were designed: a) Patients belonging to group 2, studied before de pandemia (n: 13); b) Culture-negative semen samples (n: 28).Results: In the first group, ETs were observed in all the samples, while only 18% had leucospermia. Macrophages, spermiophages, and hyperviscosity were recorded in 68%, 27%, and 36% of the studied cases respectively.In the second group, ETs were present 100% in the acute phase (< 90 days after diagnosis) and decreased to 71% in the later stage (90 to 270 days). The trapped sperm were non-progressive motile or immotile alive or dead.No traps were found in either control group.Conclusion: In our study ETs were the most sensitive seminal marker of SARS-CoV-2 infection.

This study presents a comprehensive simulation and analysis of photonic band gaps in one-dimensional (1D) photonic crystals using the open-source software MEEP. Photonic crystals, with their periodic structures, exhibit photonic bandgaps that prevent the propagation of specific wavelengths of light, making them crucial for various optical applications. Unlike previous studies that primarily focused on theoretical and experimental methods, this research introduces a novel computational approach that enhances the accuracy and flexibility of modeling these bandgaps. Through detailed simulations, we explore the impact of different structural parameters on the photonic bandgap properties, providing valuable insights into optimizing these crystals for practical use. Our findings demonstrate significant improvements in the design and understanding of 1D photonic crystals, particularly in tailoring bandgaps for specific applications in optical devices. This work contributes to the advancement of photonic crystal technology by offering a robust framework for their analysis and application.

Introduction: Cognitive impairment is defined as a new deficit in at least two areas of cognitive functioning. These may include disturbances in memory, executive functioning, attention or speed of information processing, perceptual motor abilities, or language. It has been shown that cognitive impairment is associated with the severity of kidney disease. Methods: The study was a descriptive research design, with participants purposively sampled from the general chronic kidney disease population which included haemodialysis and peritoneal dialysis patients at Steve Biko Academic Hospital in Pretoria, Gauteng Province, South Africa. Hundred and fifty-one participants (76 hemodialysis & 75 peritoneal dialysis patients), 58% were males, and 42% were females aged 19-61 years. To establish the prevalence of cognitive impairment by testing the level of cognition the Mini-Mental State Examination was utilized to provide a brief screening test to quantitatively assess the cognitive abilities and cognitive changes of patients while on dialysis. Results: Ninety-nine percent (99%) of the recruited population reported no cognitive impairment, irrespective of dialysis modality, demographic characteristics, and socio-economic status. Conclusion: Despite the findings highlighting that the majority of the chronic kidney disease population at Steve Biko Academic Hospital reported no cognitive impairment, it is crucial to increase awareness of the potential effects of cognitive impairment on daily activities, quality of life, and treatment adherence. Early detection and management of cognitive impairment can significantly impact the quality of life and adherence to treatment among these patients. Further research is needed to understand the prevalence and impact of cognitive impairment in different populations and to develop effective interventions for its prevention and management.

Myocardial infarction is the leading cause of morbidity and mortality worldwide. The overall aim of the study was to evaluate community awareness about myocardial infarction.It was a community-based cross-sectional study conducted during one month including both male and female participants aged 18 years and over in Nangarhar province of Afghanistan. The percentage of awareness for risk factors was as follows: Diabetes (56.4%), Hypertension (43.4%), Elderly (42.1%), Obesity (39.8%), Physical inactivity (38.5%), Hyperlipidemia (37.6%), and Family history (33.8%). Furthermore, knowledge about symptoms and signs was as the following: chest pain (67.4%), pain in neck and jaw (57.8%), Dyspnea (50.7%), pain in arms (46.1%), weakness/fainting (40.1%), cold sweats (38.2%), nausea and vomiting (34.5%), anxiety (29.6%), fever (22.7%), hypotension/shock (20.1%), and silent myocardial infarction (11.3%). Moreover, 24% of participants did not know about the prevention strategies for myocardial infarction. Regarding treatment, 80.3% of participants exactly knew to go to the emergency room, 11.9% of participants would intend to go to a general practitioner (GP), 5.6% of participants would ask others for advice on what to do, and 2.2% of participants would wait to see if the symptoms go away spontaneously or if the symptoms were due to other diseases. The current awareness level about myocardial infarction especially atypical symptoms, risk factors, prevention, and treatment strategies in Nangarhar residents was insufficient, especially in females and healthy individuals, and warrants designing and implementing immediate awareness programs in order to avoid delay of treatment-seeking, misbeliefs about the disease and subsequent morbidity and mortality.

Age estimation is an essential aspect of profile building in forensic investigations. Age estimation using teeth is one of the exciting applications of Forensic Odontology because teeth can survive post-mortem damage, so it is considered more suitable for age estimation. This study aims to estimate the age of individuals using the Cameriere method on teeth in various countries. The approach used in this research is a literature review study design compiled based on the Preferred Reporting System for Systematic Reviews and Meta-Analyses (PRISMA) guidelines from several articles with a period from 2007-2024. Scientific articles that meet the criteria will be analyzed using the Cameriere method to estimate the age of individuals. The search yielded 222 studies and only 12 scientific articles that met the requirements from the specified articles obtained. The population represents countries from various countries. The sample was in the age range of 4 years - 16 years. The results showed that the Cameriere method can be used to estimate the age of individuals quite accurately in various countries. However, there were some differences in accuracy between countries when using this method.

It was proposed to determine the response of chemical fertilization in the production of oil palm (Elaeis guineensis Jacq.) six years old in the area of Rio Negro Shambillo Padre Abad in order to have a sustainable and economic alternative of chemical fertilization in the field stage, which contributes to the survival of the palm and provides the necessary resistance against pests and diseases. A completely randomized block design (DBCA) was used with four repetitions and treatments, 96 plants / UE / treatment were used, the spacing was 9x9 in rows and plants. Results obtained indicate the treatments; T3 and T2 (16,54 – 15,48 kg / plant) obtained the highest averages by bunch weight, T1 and T3 (17,48 – 15,42 fruits / bunch) obtained the highest averages regarding number of fruit / bunch, T1 and T3 (13,93 – 11,59 to 45 cm ) obtained the highest averages for bunch length, T1 and T3 (7,33 – 5,52 cm) obtained the highest averages regarding fruit length, T1 and T3 (11.37 – 9.54 g) obtained the highest averages regarding fruit weight, T1 and T3 (10,46 – 10,37 kg) obtained the highest averages to yield per plant. The addition of chemical fertilizers or organic amendments increases the weight of the oil palm bunch, consequently the production in soils with medium, low fertility; chemical fertilization influences the number of clusters of oil palm produced on a given surface, any dose is used as an alternative to phosphorous fertilization in oil palm with a direct relationship between plant height and root length. 

Background: Non-Communicable Diseases (NCDs) in India have increased from 37.9% in 1990 to 61.8% in 2016. They are slowly progressive are of long duration and are responsible for more than 50% of the global burden of disease Very few studies have been conducted that studied the prevalence of risk factors in non-communicable diseases among medical students. The authors observed that most of the students are at risk of developing NCDs, and the cumulative effect of risk factors bundles up and eventually leads to disease as students advance through their lives.Aim and objectives: (i) To estimate the prevalence of risk factors of NCD amongst medical students, (ii) To study the association between various risk factors and NCDs in study subjects.Settings and design: A cross-sectional analytical study involving 362 undergraduate students of Rama Medical College using simple random sampling.Material and methods: The study used a pretested structured questionnaire which was conducted by using the WHO NCD steps approach.Statistical analysis used: Data analysis was done by using M S Excel and software SPSS version 26.Results: Our study results showed that physical activity is Prevalent in female students at 51% and in male students at 48.9%, almost equal. Junk food consumption had an overall prevalence of 69.34% of females outnumbering males in junk food consumption. The association of BMI with NCD as a risk factor was statistically significant in the current 75 smokers only.Conclusion: There is a huge opportunity to reduce modifiable risk factors and NCD among our future doctors by encouraging them to change their behavior-related lifestyles such as smoking habits, alcohol use, junk food, etc.

This article examines the relationship between Premenstrual Dysphoric Disorder (PMDD), neurovascular dynamics, and sensory sensitivities in autistic women during menstruation. The redirection of blood flow to the uterus during the menstrual cycle has been found to exacerbate cerebral perfusion deficits in neurodivergent individuals, particularly in the Prefrontal Cortex (PFC), which contributes to the mood dysregulation and emotional instability characteristic of PMDD. Autistic women, who often exhibit heightened sensory sensitivities, experience intensified discomfort during menstruation, as sensory overload and altered pain perception compound the emotional challenges of PMDD. These findings emphasize the need for neurodivergent-friendly menstrual products that mitigate both physical and emotional discomfort. Additionally, innovations using biodegradable materials, smart fabrics, and custom-fit menstrual solutions are discussed as potential breakthroughs to improve the quality of life for autistic women managing PMDD. This research highlights the importance of addressing both neurobiological and sensory aspects when designing interventions for PMDD in neurodivergent populations.

The main rice-grown crop was found severely affected by sheath blight in the south Gujarat region. Sheath blight of rice symptoms were noticed on leaf blades and the sheath just above the water level. The isolation was done from infected parts and purified by the hyphal tip method on PDA which was maintained at 4 oC. The seven different panchgavya formulations of five cow products such as cow urine, dung, curd, ghee, and milk that designed as PG1, PG2, PG3, PG4, PG5, PG6, and PG7. The PG against test pathogen Rhizoctonia solani in vitro condition by the poisoned food technique and that tested at 2, 4, 6, 8, and 10 percent concentrations. It was observed that panchgavya were able to suppress the growth of R. solani. Among the different formulations, PG1 was significantly effective at all concentrations as compared to other PG formulations against R. solani.