Physico-Chemical Properties and Fertility Status of District Rahim Yar Khan, Pakistan

Physico-chemical properties of soils in Rahim Yar Khan district of Punjab Province, Pakistan, were determined for better management. A total of 3198 soil samples collected from all tehsils of Rahim Yar Khan district (662 samples from Khan Pur, 800 samples from Liaquat Pur, 866 samples from Rahim Yar Khan and 870 soil samples from Sadiq Abad) were tested in Soil and Water Testing Laboratory, Bahawalpur, Pakistan during 2011-2013. Soil characteristics of Rahim Yar Khan district were evaluated through physical and chemical analyses. Representative soil samples received/collected from farmers fields were analyzed for texture, electrical conductivity (EC), pH, organic matter (OM), available phosphorus (P) and potassium (K) contents. Texture of the soils varied from sandy loam to loam. About 53% soils had EC values within the normal range (< 4 dS m-1). The pH values of 92% soils ranged from 7.5 to 8.5 with an average of 8.06 and 7% soils had pH > 8.5. About 93% soils were poor (< 0.86%) in organic matter and only 7% soil samples had satisfactory level of organic matter (0.86-1.29%). About 47% soils were poor( < 7 ppm) in available phosphorus,33 % samples had satisfactory level of  available phosphorus (7-14 ppm) and only 20 % samples had adequate level of  available phosphorus (>14 ppm) contents. The K status of most of soils was in satisfactory (50%) and adequate range (43%). The objective of present study is to assess the soil fertility and salinity status of Rahim Yar Khan district for formulation of optimum fertilizer recommendations for different crops grown in the area. Keywords: Soil Analysis, EC, pH, SOM, P, K, Rahim Yar Kha

Soil Fertility Management for Sustainable Agriculture: A Case Studyof District Bahawalnagar, Pakistan

The study was conducted to classify soil of crop growing areas of District Bahawalnagar with respect to low, satisfactory and high soil fertility status for better management of the whole area. A total of 3624 soil samples collected from all tehsils of Bahawalnagar district (888 samples from Bahawalnagar, 743 samples from Chishtian, 528 samples from Fort Abbas, 573 samples from Haroon Abad and 892 soil samples from Minchin Abad) were tested in Soil and Water Testing Laboratory, Bahawalpur, Pakistan during 2011-2013.Soil characteristics of Bahawalnagar district were evaluated through physical and chemical analysis. Representative soil samples received/collected from farmers fields were analyzed for texture, electrical conductivity (EC), pH, organic matter (OM), available phosphorus (P) and potassium (K) contents. Texture of the soils varied from sandy loam to loam. About 66% soils had EC values within the normal range (< 4 dS m-1). The pH values of 94% soils ranged from 7.5 to 8.5 with an average of 8.03 and 5% soils had pH > 8.5. About 99% soils were poor( < 0.86%) in organic matter and only 1% samples had satisfactory level of organic matter(0.86-1.29%).About 68% soils were poor(<7 ppm) in available phosphorus, 23 % samples had satisfactory level of  available phosphorus(7-14 ppm) and only 9% samples had adequate level of available phosphorus (>14 ppm) contents. The K status of most of soils was in satisfactory (58%) and adequate range (30%). The objective of present study is to assess the soil fertility and salinity status of Bahawalnagar district for formulation of optimum fertilizer recommendations for different crops grown in the area. Key words: Soil Analysis, EC, pH, SOM, P, K, Bahawalnaga

Ultrasonographic renal size in individuals without known renal disease

Objective: In order to establish some preliminary data of our population, we determined the ultrasonographic kidney dimensions in individuals withoud known renal disease. We assessed whether age, sex, side, body mass index (BMI) and presence or absence of diabetes mellitus and hypertension affect the renal size. Methods: Ultrasonographic kidney measurements were performed on 194 adult patients without known kidney lesions. Measurements included length, width, cortical thickness and estimation of renal size which was obtained by multiplying the first three variables. The effect of age, gender, side, height, weight, BNll, hypertension and diabetes mellitus was statistically analyzed. Results: The mean kidney length was 10.4 ±0.8 cm, mean with 4.5 + 0.6 cm and mean cortical thickness 1.6 ± 0.2 cm. The estimated mean renal size was 76 ±22 cm3. Kidney length did not significantly differ between zight and left, however, kidney width, cortical thickness and size did (p\u3c0.05). Right kidneys were smaller than the left ones. In univariate analysis, the mean renal size correlated with age, sex, side, BMI and absence or presence of hypertension and diabetes mellitus. In a multivariate analysis, however, the only significant factors affecting renal size were sex and BMI. Conclusion: We conclude that renal size is related to age, side, sex and the individual’s height and weight. the normal values for the Pakistani population Population-based studies are needed to establish (JPMA 50:12, 2000)

The potential of IFN-λ, IL-32γ, IL-6, and IL-22 as safeguards against human viruses: a systematic review and a meta-analysis

Many studies have investigated the antiviral activity of cytokines, including interleukin-6 (IL-6), interleukin-22 (IL-22), interleukin-32 gamma (IL-32γ), and interferon-lambda (IFN-λ) in diverse populations. This study aims to evaluate the role of these cytokines in inhibition of various human and animal viruses when administered exogenously. A comprehensive meta-analysis and systematic review were conducted on all the relevant studies from three databases. Standard mean differences (SMDs) of overall viral inhibition were used to generate the difference in the antiviral efficacy of these cytokines between control and experimental groups. A total of 4,618 abstracts for IL-6, 3,517 abstracts for IL-22, 2,160 abstracts for IL-32γ, and 1,026 abstracts for IFN-λ were identified, and 7, 4, 8, and 35 studies were included, respectively, for each cytokine. IFN-λ (SMD = 0.9540; 95% CI: 0.69–0.22) and IL-32γ (SMD = 0.459; 95% CI: 0.02–0.90) showed the highest influence followed by IL-6 (SMD = 0.456; CI: −0.04–0.95) and IL-22 (SMD = 0.244; 95% CI: −0.33–0.81). None of the cytokines represented heterogeneity (tau² > 0), but only IFN-λ indicated the funnel plot asymmetry (p = 0.0097). Results also indicated that IFN-λ and IL-32γ are more potent antivirals than IL-6 and IL-22. The collective findings of this study emphasize that exogenously administered pro-inflammatory cytokines, specifically IFN-λ and IL-32, exhibit a significant antiviral activity, thereby underscoring them as potent antiviral agents. Nonetheless, additional research is required to ascertain their clinical utility and potential for integration into combinatorial therapeutic regimens against viral infections

On-line adaptive line frequency noise cancellation from a nuclear power measuring channel

On-line software for adaptively canceling 50 Hz line frequency noise has been designed and tested at Pakistan Research Reactor 1. Line frequency noise causes much problem in weak signals acquisition. Sometimes this noise is so dominant that original signal is totally corrupted. Although notch filter can be used for eliminating this noise, but if signal of interest is in close vicinity of 50 Hz, then original signal is also attenuated and hence overall performance is degraded. Adaptive noise removal is a technique which could be employed for removing line frequency without degrading the desired signal. In this paper line frequency noise has been eliminated on-line from a nuclear power measuring channel. The adaptive LMS algorithm has been used to cancel 50 Hz noise. The algorithm has been implemented in labVIEW with NI 6024 data acquisition card. The quality of the acquired signal has been improved much as can be seen in experimental results

Reversible hyponatraemia with venlafaxine in a young patient

A 28-year-old woman with a depressive episode developed hyponatraemia (126 mmol/l), in the absence of hypovolaemia, oedema, or diuretic use, 2 weeks after starting treatment with the antidepressant venlafaxine. Full blood count, potassium, urea, creatinine, thyroid function test, liver function test, amylase, serum cortisol, and glucose were all normal. A repeat blood test 3 days later revealed a further reduction in the sodium concentration to 123 mmol/l. The patient did not have any signs or symptoms of physical disorder secondary to hyponatraemia on this occasion. Her serum sodium reached normal values 2 weeks after stopping treatment with venlafaxine. Hyponatraemia secondary to venlafaxine has been reported in the older population but not in young people. We therefore believe this is an important finding

Evaluation of irrigation effects using diluted salted water based on electrophysiological properties of plants

Effect of salt stress and subsequent re-watering on growth and electrophysiological characteristics of Orychophragmus violaceus and Brassica napus was investigated, to construct a model for prediction of an appropriate regime for dilution of saline water. Different concentrations of NaCl, Na2SO4 and blend of both salts were applied with Hoagland solution. Growth and electrophysiology traits were highly restricted at high concentration levels. According to the results, the best dilution point was 5–2.5% for NaCl and Na2SO4 alternatively, whereas it was 10–0.0% for blend of salts. After re-watering, O. violaceus restore better leaf tensity under medium levels, because the effect of NaCl concentration on leaf tensity (XNC–LT) was 1.66%, which was lower in O. violaceus than the effect of XNC–LT (2.88%) in B. napus, followed by the same trend for all treatments. Therefore, the effect of salinity in O. violaceus and B. napus may also be reduced effectively by dilution of saline irrigation

Knowledge distillation in histology landscape by multi-layer features supervision

Automatic tissue classification is a fundamental task in computational pathology for profiling tumor micro-environments. Deep learning has advanced tissue classification performance at the cost of significant computational power. Shallow networks have also been end-to-end trained using direct supervision however their performance degrades because of the lack of capturing robust tissue heterogeneity. Knowledge distillation has recently been employed to improve the performance of the shallow networks used as student networks by using additional supervision from deep neural networks used as teacher networks. In the current work, we propose a novel knowledge distillation algorithm to improve the performance of shallow networks for tissue phenotyping in histology images. For this purpose, we propose multi-layer feature distillation such that a single layer in the student network gets supervision from multiple teacher layers. In the proposed algorithm, the size of the feature map of two layers is matched by using a learnable multi-layer perceptron. The distance between the feature maps of the two layers is then minimized during the training of the student network. The overall objective function is computed by summation of the loss over multiple layers combination weighted with a learnable attention-based parameter. The proposed algorithm is named as Knowledge Distillation for Tissue Phenotyping (KDTP). Experiments are performed on five different publicly available histology image classification datasets using several teacher-student network combinations within the KDTP algorithm. Our results demonstrate a significant performance increase in the student networks by using the proposed KDTP algorithm compared to direct supervision-based training methods