Investigating the Impact of Resilience on Learners’ Motivated Behavior of L2 and Proficiency in English of University Students at Karachi, Pakistan

This research article investigates the resilience and its various constituting factors and their subsequent relation with Motivated L2 Learning Behavior and English Proficiency among the first year students of two public sector universities of Pakistan. For this quantitative and variables oriented study 260 students were conveniently selected who participated in the study, out of which 152 and 108 were males and females respectively. For data collection of this quantitative study, a five point likert scale Questionnaire ranging from Strongly Disagree to Strongly Agree was employed. The questionnaire comprised 31 items which were further distributed in five dimensions of Resilience (Perceived Happiness, Empathy, Sociability, Persistence and Self Regulation) and Motivated L2 Learning Behaviour as 26 and 05 respectively in order to determine the students’ resilience and L2 Motivated Behaviour. Michigan English Language Assessment Battery (MELAB) test was also conducted in order to measure the English proficiency skills of the students. Moreover, the correlation among the independent and dependent variables and the impact of resilience factors on Motivated L2 Behaviour and English Proficiency was analyzed with the help of standard regression analysis.   The results revealed that the four dimensions of resilience significantly influenced Motivated L2 Learning Behaviour whereas; three factors of resilience affected English Proficiency as well. The study can help in understanding the concept of resilience and can be applied to other academic disciplines

De novo primary squamous cell carcinoma of the ovary: A case of a rare malignancy with an aggressive clinical course

Ovarian squamous cell carcinoma is a rare malignancy and the occurrence is attributable to malignant transformation of an existing ovarian dermoid cyst. The de novo occurrence of squamous cell carcinoma of the ovary, in the absence of an antecedent ovarian dermoid, is extremely rare. The case of a 31 year old Asian woman, evaluated for abdominal distension and discomfort is presented. Abdominal CT was suggestive of a malignant neoplastic process. Laparotomy confirmed a malignant tumour with involvement of the right adnexa and extension into the omentum and bowel. Surgical debulking, hysterectomy, bilateral salpingo-ophorectomy and total omentectomy and bowel resection was performed. Histopathology demonstrated squamous cell carcinoma arising from the right ovary with no co-existing ovarian dermoid. The postoperative period was significant for disease progression despite adjuvant chemotherapy

Channel clustering and QoS level identification scheme for multi-channel cognitive radio networks

The increasing popularity of wireless services and devices necessitates high bandwidth requirements; however, spectrum resources are not only limited but also heavily underutilized. Multiple license channels that support the same levels of QoS are desirable to resolve the problems posed by the scarcity and inefficient use of spectrum resources in multi-channel cognitive radio networks (MCRNs). One reason is that multimedia services and applications have distinct, stringent QoS requirements. However, due to a lack of coordination between primary and secondary users, identifying the QoS levels supported over available licensed channels has proven to be problematic and has yet to be attempted. This article presents a novel Bayesian non-parametric channel clustering scheme, which identifies the QoS levels supported over available license channels. The proposed scheme employs the infinite Gaussian mixture model and collapsed Gibbs sampler to identify the QoS levels from the feature space of the bit rate, packet delivery ratio, and packet delay variation of licensed channels. Moreover, the real measurements of wireless data traces and comparisons with baseline clustering schemes are used to evaluate the performance of the proposed scheme. © 1979-2012 IEEE. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Muhammad Imran” is provided in this record*

Channel Clustering and QoS Level Identification Scheme for Multi-Channel Cognitive Radio Networks

The increasing popularity of wireless services and devices necessitates high bandwidth requirements; however, spectrum resources are not only limited but also heavily underutilized. Multiple license channels that support the same levels of QoS are desirable to resolve the problems posed by the scarcity and inefficient use of spectrum resources in multi-channel cognitive radio networks (MCRNs). One reason is that multimedia services and applications have distinct, stringent QoS requirements. However, due to a lack of coordination between primary and secondary users, identifying the QoS levels supported over available licensed channels has proven to be problematic and has yet to be attempted. This article presents a novel Bayesian non-parametric channel clustering scheme, which identifies the QoS levels supported over available license channels. The proposed scheme employs the infinite Gaussian mixture model and collapsed Gibbs sampler to identify the QoS levels from the feature space of the bit rate, packet delivery ratio, and packet delay variation of licensed channels. Moreover, the real measurements of wireless data traces and comparisons with baseline clustering schemes are used to evaluate the performance of the proposed scheme

Optimizing Conservation of Nili Ravi Buffaloes in Southern Region of Khyber Pakhtunkhwa: A Comprehensive Evaluation of Phenotypic, Morphometric, and Productive Traits

In Pakistan, Nili Ravi buffalo is highly valued breed due to its high milk yield. Native to Punjab province, the breed is now extensively distributed throughout the country. To assess and optimize the conservation strategies for Nili Ravi buffaloes in southern Khyber Pakhtunkhwa by evaluating their phenotypic, morphometric, productive, and reproductive characteristics. Buffaloes were maintained at Livestock Research and Development Station in Paharpur, Dera Ismail Khan from 2010-2023, under breed conservation program. A sum of 298 records Nili Ravi buffaloes were used for the investigation. The research examined physical attributes such as coat color, horn morphology, and other qualitative characteristics. In addition to body weight, body length, withers height, chest circumference, and hip breadth, morphometric measurements were recorded. Mean body weight of Nili Ravi buffaloes was recorded was 677 + 213 Kg, produced 1387.12 + 32.87 liters milk during their lactation period of 292.87 + 32.40 days that was substantially impacted by year (p \u3c 0.05) and calving season. Calving interval was 480.18 + 22.09 days, whereas parity year and calving season bear considerable (p \u3c 0.05) impact on their characteristic. Dry period was 181.2 + 18.01 days. This research aided in the development of conservation and enhancement strategies for Nili Ravi buffalo in the region. Nili Ravi buffaloes in the region have excellent milk yield but the study disclosed morphometric variations within the breed, demonstrating the need for targeted breeding and management practices

Impact of Bypass Fat Supplementation on Milk Production and Weight Gain in Nili Ravi Buffaloes Under Southern Khyber Pakhtunkhwa\u27s Geo-Climatic Conditions

This study was conducted to examine the effect of bypass fat supplementation on milk production, composition, and body weight gain in Nili Ravi Buffaloes living in the unique geo-climatic conditions of Southern Khyber Pakhtunkhwa. Twenty lactating Nili Ravi buffaloes were randomly assigned to control and bypass fat supplementation groups in randomized, controlled experiment. Over the course of three months, data were collected on milk yield, milk composition, and body weight while environmental factors were considered. The bypass fat group gained significantly more weight on average than the control (p\u3c0.05), which gained 4.75 kg. In addition, milk yield in bypass fat group increased to the average of 13.15 liters, compared to 10.4 liters in the control (p\u3c0.05). The percentage of milk fat in supplemented group was 7.35 percent, compared to 6.79 percent in the control (p\u3c0.05). Lactose concentrations were significantly higher in the bypass fat group (p\u3c0.05), whereas proteins, solid-not-fat, and total solids were statistically comparable between the two groups (p\u3e0.05). Bypass fat supplementation can substantially increase milk production, milk fat content, and weight gain in Nili Ravi buffaloes from southern Khyber Pakhtunkhwa. This strategy could provide dairy farming in the region with prospective advantages in terms of animal health and economic returns

An Efficient Channel Access Scheme for Vehicular Ad Hoc Networks

Vehicular Ad Hoc Networks (VANETs) are getting more popularity due to the potential Intelligent Transport Systems (ITS) technology. It provides many efficient network services such as safety warnings (collision warning), entertainment (video and voice), maps based guidance, and emergency information. VANETs most commonly use Road Side Units (RSUs) and Vehicle-to-Vehicle (V2V) referred to as Vehicle-to-Infrastructure (V2I) mode for data accessing. IEEE 802.11p standard which was originally designed for Wireless Local Area Networks (WLANs) is modified to address such type of communication. However, IEEE 802.11p uses Distributed Coordination Function (DCF) for communication between wireless nodes. Therefore, it does not perform well for high mobility networks such as VANETs. Moreover, in RSU mode timely provision of data/services under high density of vehicles is challenging. In this paper, we propose a RSU-based efficient channel access scheme for VANETs under high traffic and mobility. In the proposed scheme, the contention window is dynamically varied according to the times (deadlines) the vehicles are going to leave the RSU range. The vehicles with shorter time deadlines are served first and vice versa. Simulation is performed by using the Network Simulator (NS-3) v. 3.6. The simulation results show that the proposed scheme performs better in terms of throughput, backoff rate, RSU response time, and fairness

Impact of pulse oximetry on hospital referral acceptance in children under 5 with severe pneumonia in rural Pakistan (district Jamshoro): Protocol for a cluster randomised trial

Background: Pneumonia is a leading cause of death among children under 5 specifically in South Asia and sub-Saharan Africa. Hypoxaemia is a life-threatening complication among children under 5 with pneumonia. Hypoxaemia increases risk of mortality by 4.3 times in children with pneumonia than those without hypoxaemia. Prevalence of hypoxaemia varies with geography, altitude and severity (9%-39% Asia, 3%-10% African countries). In this protocol paper, we describe research methods for assessing impact of Lady Health Workers (LHWs) identifying hypoxaemia in children with signs of pneumonia during household visits on acceptance of hospital referral in district Jamshoro, Sindh.Methods and analysis: A cluster randomised controlled trial using pulse oximetry as intervention for children with severe pneumonia will be conducted in community settings. Children aged 0-59 months with signs of severe pneumonia will be recruited by LHWs during routine visits in both intervention and control arms after consent. Severe pneumonia will be defined as fast breathing and/or chest in-drawing, and, one or more danger sign and/or hypoxaemia (Sa02 \u3c92%) in PO (intervention) group and fast breathing and/or chest in-drawing and one or more danger sign in clinical signs (control) group. Recruits in both groups will receive a stat dose of oral amoxicillin and referral to designated tertiary health facility. Analysis of variance will be used to compare baseline referral acceptance in both groups with that at end of study.Ethics and dissemination: Ethical approval was granted by the Ethics Review Committee of the Aga Khan University (4722-Ped-ERC-17), Karachi. Study results will be shared with relevant government and non-governmental organisations, presented at national and international research conferences and published in international peer-reviewed scientific journals.Trial registration number: NCT03588377

Mulberry based zinc nano-particles mitigate salinity induced toxic effects and improve the grain yield and zinc bio-fortification of wheat by improving antioxidant activities, photosynthetic performance, and accumulation of osmolytes and hormones

Salinity stress (SS) is a challenging abiotic stress that limits crop growth and productivity. Sustainable and cost effective methods are needed to improve crop production and decrease the deleterious impacts of SS. Zinc (Zn) nanoparticles (NPs) have emerged as an important approach to regulating plant tolerance against SS. However, the mechanisms of SS tolerance mediated by Zn-NPs are not fully explained. Thus, this study was performed to explore the role of Zn-NPs (seed priming and foliar spray) in reducing the deleterious impacts of SS on wheat plants. The study comprised different SS levels: control, 6 and 12 dS m−1, and different Zn-NPs treatments: control, seed priming (40 ppm), foliar spray (20 ppm), and their combination. Salinity stress markedly reduced plant growth, biomass, and grain yield. This was associated with enhanced electrolyte leakage (EL), malondialdehyde (MDA), hydrogen peroxide (H2O2), sodium (Na), chloride (Cl) accumulation, reduced photosynthetic pigments, relative water contents (RWC), photosyntetic rate (Pn), transpiration rate (Tr), stomata conductance (Gs), water use efficiency (WUE), free amino acids (FAA), total soluble protein (TSP), indole acetic acid (IAA), gibberellic acid (GA), and nutrients (Ca, Mg, K, N, and P). However, the application of Zn-NPs significantly improved the yield of the wheat crop, which was associated with reduced abscisic acid (ABA), MDA, H2O2 concentration, and EL, owing to improved antioxidant activities, and an increase in RWC, Pn, Tr, WUE, and the accumulation of osmoregulating compounds (proline, soluble sugars, TSP, and FAA) and hormones (GA and IAA). Furthermore, Zn-NPs contrasted the salinity-induced uptake of toxic ions (Na and Cl) and increased the uptake of Ca, K, Mg, N, and P. Additionally, Zn-NPs application substantially increased the wheat grain Zn bio-fortification. Our results support previous findings on the role of Zn-NPs in wheat growth, yield, and grain Zn bio-fortification, demonstrating that beneficial effects are obtained under normal as well as adverse conditions, thanks to improved physiological activity and the accumulation of useful compounds. This sets the premise for general use of Zn-NPs in wheat, to which aim more experimental evidence is intensively being sought. Further studies are needed at the genomic, transcriptomic, proteomic, and metabolomic level to better acknowledge the mechanisms of general physiological enhancement observed with Zn-NPs application