Explore the vast range of titles available.

Asphalt pavement distresses are the major concern of underdeveloped and developed nations for the smooth running of daily life commute. Among various pavement failures, numerous research can be found on pothole detection as they are injurious to automobiles and passengers that may turn into an accident. This work is intended to explore the potential of deep learning models and deploy three superlative deep learning models on edge devices for pothole detection. In this work, we have exploited the AI kit (OAK-D) on a single-board computer (Raspberry Pi) as an edge platform for pothole detection. Detailed real-time performance comparison of state-of-the-art deep learning models and object detection frameworks (YOLOv1, YOLOv2, YOLOv3, YOLOv4, Tiny-YOLOv4, YOLOv5, and SSD-mobilenetv2) for pothole detection is presented. The experimentation is performed on an image dataset with pothole in diverse road conditions and illumination variations as well as on real-time video captured through a moving vehicle. The Tiny-YOLOv4, YOLOv4, and YOLOv5 evince the highest mean average precision (mAP) of 80.04%, 85.48%, and 95%, respectively, on the image set, thus proving the strength of the proposed approach for pothole detection and deployed on OAK-D for real-time detection. The study corroborated Tiny-YOLOv4 as the befitted model for real-time pothole detection with 90% detection accuracy and 31.76 FPS.

(1) To investigate the demographic and clinical characteristics contributing to the delay from symptom onset to the first visit to a rheumatologist; (2) to compare clinical, radiographic and patient-reported outcome measures of those who saw a rheumatologist early in their disease course with those who were diagnosed later. All psoriatic arthritis (PsA) patients, fulfilling CASPAR criteria, with an average disease duration of >10 years were invited for detailed clinical evaluation. The total lag time from symptom onset to their first rheumatological encounter was studied. The data were extracted from the referral letters and medical records. Patients were classified as early consulters or late consulters depending on whether they were seen by a rheumatologist within or beyond 6 months of symptom onset. 283 PsA patients were studied. Median lag time from the disease onset to the first rheumatological assessment of the cohort was 1.00 years (IQR 0.5-2). 30% (n=86), 53% (n=149) and 71% (n=202) of the cohort were seen by a rheumatologist within 6 months, 1 and 2 years of symptom onset, respectively. PsA patients with low education status (OR 2.09, p=0.02) and Body Mass Index (OR 0.92, p=0.01) were significantly more likely to have a diagnostic delay of >2 years. On multiple stepwise regression analysis, the model predicted significant association of late consulters with the development of peripheral joint erosions (OR 4.25, p=0.001) and worse Health Assessment Questionnaire scores (OR 2.2, p=0.004). Even a 6-month delay from symptom onset to the first visit with a rheumatologist contributes to the development of peripheral joint erosions and worse long-term physical function.

For the tertiary health care system to provide adequate care during disasters, willing and able healthcare providers must be available to respond to the abnormal surge of the patients. Health care professionals (HCPs) constantly face a dilemma because of their profession to either respond to disasters or protect themselves. This study was conducted to assess the willingness and ability of HCPs working in the tertiary healthcare system of Khyber Pakhtunkhwa to respond to disasters. This cross-sectional survey was conducted in all the 8 tertiary care hospitals of the Khyber Pakhtunkhwa province of Pakistan. For different disaster scenarios, between 6% and 47% of HCP indicated their unwillingness, and between 3% & 41% of HCPs indicated that they were unable to respond to the given disaster scenarios. HCPs with childcare obligation indicated significantly lower willingness (p<0.05) to respond to earthquakes, MCIs, and an outbreak of Influenza, and SARS. Male HCPs showed a significantly (p<0.05) higher willingness to respond to earthquakes, MCIs, and an outbreak of Influenza as compared to their female counterparts. The overall ability indicated by HCPs for various disaster scenarios ranged between 54.1% [95% CI 0.503,0.578] for responding to victims of nuclear war and 96.4% [95% CI 0.947,0.976] for responding to conventional war. The HCPs who indicated childcare obligation showed a significantly lower ability (p<0.05) to respond to environmental disaster, influenza outbreak, and responding to victims of nuclear war. Female HCPs indicated significantly higher ability (p<0.05) as compared to their male counterparts. This survey provides an opportunity for the tertiary healthcare system to build on the findings and develop disaster mitigation plans to address the barriers to improving the HCPs’ availability during disasters.

Intercropping is one of the most widely used agroforestry techniques, reducing the harmfulimpacts of external inputs such as fertilizers. It also controls soil erosion, increases soil nutrientsavailability, and reduces weed growth. In this study, the intercropping of peanut (ArachishypogaeaL.)was done with tea plants (Camellia oleifera), and it was compared with the mono-cropping of tea andpeanut. Soil health and fertility were examined by analyzing the variability in soil enzymatic activityand soil nutrients availability at different soil depths (0–10 cm, 10–20 cm, 20–30 cm, and 30–40 cm).Results showed that the peanut–tea intercropping considerably impacted the soil organic carbon(SOC), soil nutrient availability, and soil enzymatic responses at different soil depths. The activityof protease, sucrase, and acid phosphatase was higher in intercropping, while the activity of ureaseand catalase was higher in peanut monoculture. In intercropping, total phosphorus (TP) was 14.2%,34.2%, 77.7%, 61.9%; total potassium (TK) was 13.4%, 20%, 27.4%, 20%; available phosphorus (AP)was 52.9%, 26.56%, 61.1%; 146.15% and available potassium (AK) was 11.1%, 43.06%, 46.79% higherthan the mono-cropping of tea in respective soil layers. Additionally, available nitrogen (AN) was51.78%, 5.92%, and 15.32% lower in the 10–20 cm, 20–30 cm, and 30–40 cm layers of the intercroppingsystem than in the mono-cropping system of peanut. Moreover, the soil enzymatic activity wassignificantly correlated with SOC and total nitrogen (TN) content across all soil depths and croppingsystems. The depth and path analysis effect revealed that SOC directly affected sucrase, protease,urease, and catalase enzymes in an intercropping system. It was concluded that an increase in the soilenzymatic activity in the intercropping pattern improved the reaction rate at which organic matterdecomposed and released nutrients into the soil environment. Enzyme activity in the decompositionprocess plays a vital role in forest soil morphology and function. For efficient land use in the croppingsystem, it is necessary to develop coherent agroforestry practices. The results in this study revealedthat intercropping certainly enhance soil nutrients status and positively impacts soil conservation.

Background In response to the COVID-19 pandemic, concerted efforts were made by provincial and federal governments to invest in critical care infrastructure and medical equipment to bridge the gap of resource-limitation in intensive care units (ICUs) across Pakistan. An initial step in creating a plan toward strengthening Pakistan’s baseline critical care capacity was to carry out a needs-assessment within the country to assess gaps and devise strategies for improving the quality of critical care facilities. Methods To assess the baseline critical care capacity of Pakistan, we conducted a series of cross-sectional surveys of hospitals providing COVID-19 care across the country. These hospitals were pre-identified by the Health Services Academy (HSA), Pakistan. Surveys were administered via telephonic and on-site interviews and based on a unique checklist for assessing critical care units which was created from the Partners in Health 4S Framework, which is: Space, Staff, Stuff, and Systems. These components were scored, weighted equally, and then ranked into quartiles. Results A total of 106 hospitals were surveyed, with the majority being in the public sector (71.7%) and in the metropolitan setting (56.6%). We found infrastructure, staffing, and systems lacking as only 19.8% of hospitals had negative pressure rooms and 44.4% had quarantine facilities for staff. Merely 36.8% of hospitals employed accredited intensivists and 54.8% of hospitals maintained an ideal nurse-to-patient ratio. 31.1% of hospitals did not have a staffing model, while 37.7% of hospitals did not have surge policies. On Chi-square analysis, statistically significant differences ( p  < 0.05) were noted between public and private sectors along with metropolitan versus rural settings in various elements. Almost all ranks showed significant disparity between public–private and metropolitan–rural settings, with private and metropolitan hospitals having a greater proportion in the 1st rank, while public and rural hospitals had a greater proportion in the lower ranks. Conclusion Pakistan has an underdeveloped critical care network with significant inequity between public–private and metropolitan–rural strata. We hope for future resource allocation and capacity development projects for critical care in order to reduce these disparities.

Poor utilization of maternal healthcare services remains a public health concern in most low and middle-income countries (LMICs), including Afghanistan. Late, inadequate, or no utilization of antenatal care (ANC) services pose a great concern. This study assessed the predictors of ANC service utilization among Afghan pregnant women, using secondary data from the Afghanistan Health Survey 2018 (AHS2018). In this study, we used data from 10,855 ever-married women, aged 13-49 years, who gave birth in the two years prior to the survey or those women who were currently pregnant. The outcome variable was defined as a binary variable on ANC utilization (≥1 ANC visit equals 1, and zero otherwise). We fitted a binary logistic regression model and examined the associations between ANC utilization and explanatory variables, providing findings based on univariate and multivariate analysis. STATA version 17 was employed for the data analysis. Overall, 63.2%, 22.0%, and 3.1% of women had at least one ANC visit, ≥4 ANC visits, and ≥8 ANC visits during their last pregnancy, respectively. Higher odds of ANC utilization were observed in women who could read and write (AOR = 1.55, 95%CI: 1.36-1.77), whose husbands could read and write (AOR = 1.42, 95%CI: 1.29-1.56), who knew 1 sign (AOR = 1.93, 95%CI: 1.74-2.14), 2 signs (AOR = 2.43, 95%CI: 2.17-2.71) and ≥ 3 signs (AOR = 1.55, 95%CI: 1.36-1.77) of complicated pregnancy, and those with almost daily access to radio (AOR = 1.19, 95%CI: 1.08-1.327) and TV (AOR = 1.92, 95%CI: 1.73-2.13). We also found that women with one (AOR = 0.64, 95%CI: 0.49-0.84) and more than one (AOR = 0.60, 95%CI: 0.47-0.76) parity status, those for whom in-laws and others decided for their birthplace [(AOR = 0.85, 95%CI: 0.74-0.97) and (AOR = 0.63, 95%CI: 0.55-0.72), respectively], and those that resided in rural areas (AOR = 0.89, 95%CI: 0.79-1.00) had reduced odds of ANC utilization. ANC service utilization is unacceptably low by pregnant women in Afghanistan. The predictors of ANC utilization identified by the study should be considered in the design of future interventions to enhance antenatal care utilization in Afghanistan.

In recent years, extreme environmental cues such as abiotic stresses, including frequent droughts with irregular precipitation, salinity, metal contamination, and temperature fluctuations, have been escalating the damage to plants’ optimal productivity worldwide. Therefore, yield maintenance under extreme events needs improvement in multiple mechanisms that can minimize the influence of abiotic stresses. Polyamines (PAs) are pivotally necessary for a defensive purpose under adverse abiotic conditions, but their molecular interplay in this remains speculative. The PAs’ accretion is one of the most notable metabolic responses of plants under stress challenges. Recent studies reported the beneficial roles of PAs in plant development, including metabolic and physiological processes, unveiling their potential for inducing tolerance against adverse conditions. This review presents an overview of research about the most illustrious and remarkable achievements in strengthening plant tolerance to drought, salt, and temperature stresses by the exogenous application of PAs. The knowledge of underlying processes associated with stress tolerance and PA signaling pathways was also summarized, focusing on up-to-date evidence regarding the metabolic and physiological role of PAs with exogenous applications that protect plants under unfavorable climatic conditions. Conclusively, the literature proposes that PAs impart an imperative role in abiotic stress tolerance in plants. This implies potentially important feedback on PAs and plants’ stress tolerance under unfavorable cues.

Background Context-specific breastfeeding research has significantly improved infant health outcomes in many low-resource settings. Afghanistan, which has one of the world’s highest under-five mortality rates, similarly stands to gain from evidence-based infant and young child feeding (IYCF) interventions. Optimal breastfeeding practices – early initiation, exclusive breastfeeding, and continued breastfeeding – are proven to reduce child mortality and improve child health. Yet Afghanistan lacks robust data on breastfeeding behaviors and determinants; decades of conflict and limited research capacity have left critical evidence gaps, hindering the development of effective, tailored IYCF policies and programs. Breastfeeding research gaps and priorities in Afghanistan To address these gaps, this commentary presents a theory of change framework that links identified research needs to feasible studies, trackable indicators, and policy impact. The theory of change outlines key assumptions and risk mitigation strategies to guide a sequenced, policy-relevant research program. Based on the identified gaps, six priority research areas are highlighted: (1) assessing mothers’ IYCF knowledge and communication channels to inform education campaigns; (2) exploring cultural and religious influences on feeding practices (e.g., rationales for prelacteal feeding); (3) evaluating and adapting proven breastfeeding support interventions (peer support groups, mobile health) for the Afghan context; (4) investigating emerging challenges to optimal breastfeeding (formula marketing, bottle-feeding trends, workplace barriers); (5) strengthening health system and community support for breastfeeding (enhancing healthcare provider training, counseling services, and enforcement of maternity protection policies); and (6) piloting the feasibility of donor human milk banking in select provinces. Collectively, these studies should aim to generate actionable evidence and measurable outcomes to drive improvements in breastfeeding policy and practice. Conclusion Achieving this research agenda will require investment in local research capacity and strong political commitment. Key recommendations include establishing a multi-stakeholder Breastfeeding Research Working Group under the Ministry of Public Health (MoPH), securing dedicated funding for breastfeeding research in national health programs, and fostering cross-sector partnerships to ensure that new evidence is translated into policy and practice. By aligning research efforts with national priorities, Afghanistan can harness breastfeeding’s lifesaving benefits to improve child survival and well-being.

In opto-electronics, non-fullerene (NF) derivatives are regarded as efficient non-linear optical (NLO) materials. The present investigation was based on designing NF naphthalene-based derivatives (PCMD1–D9) with D-π - A configuration from PCMR. DFT analysis at M06/6-311G (d,p) level was accomplished to explore the photonic behavior of PCMD1–D9 compounds. Various kind of analysis like; UV–Vis, density of state (DOS), natural bond orbitals (NBOs), transition density matrix (TDM) and frontier molecular orbitals (FMOs) analyses were accomplished to understand the NLO properties of said chromophores. The configuration change led to considerable charge distribution over highest occupied and lowest unoccupied molecular orbitals with minimum band difference. The energy gap trend for all the entitled compounds was observed as; PCMD8 < PCMD5 = PCMD9 < PCMD6 < PCMD7 < PCMD4 < PCMD3 < PCMD2 < PCMD1 with the least band gap of 2.048 eV in PCMD8 among all the compounds. The UV–Visible spectrum of the entitled chromophores manifested high values of λ max in derivatives contrary to PCMR. Additionally, NBO findings explored effective intramolecular charge transfer and maximum energy of stabilization (34.31 kcal/mol) for PCMD8 chromophore. The highest linear polarizability (< α >) and dipole moment ( µ tot ) values were exhibited by PCMD5 at 2.712 × 10 –22 . and 1.995 × 10 –17 esu, respectively. PCMD8 push–pull configured molecular entity exhibited highest first hyper-polarizability ( β tot ) at 4.747 × 10 –27 esu and second hyper-polarizability at 6.867 × 10 –32 esu. Overall, all the formulated chromophores exhibited significant NLO results contrary to PCMR. Hence, through this structural tailoring via various acceptors, effective NLO materials were obtained for optoelectronic applications.

Using postnatal care (PNC) within the first week following childbirth is crucial, as both the mother and her baby are particularly vulnerable to infections and mortality during this period. In this study, we examined the factors associated with early postnatal care (EPNC) use in Afghanistan. We used data from the multiple indicator cluster survey (MICS) 2022–2023. The study population was ever-married women who delivered a live child during their recent pregnancy within the 2 years preceding MICS 2022–23. The outcome was EPNC and defined as the first check of the mother within the first week of delivery. A binary logistic regression was used, and odds ratio (OR) and 95% CI were obtained. Out of 12,578 women, 16.0% received EPNC. EPNC was lower in women who delivered at home [AOR 0.35 (95% CI 0.28–0.44)] compared with women who delivered at public clinics. EPNC was higher in women with ≥ 4 antenatal care (ANC) visits [1.29 (1.02–162)], in women in the highest quintile of wealth status [1.70 (1.25–2.32)], and in women with access to radio [1.76 (1.45–2.15)]. EPNC use among Afghan women remains low (16.0%). Key factors associated with ENPC utilization include place of delivery, ANC utilization, wealth status, and radio access.