Effects of Process-Genre Approach on Writing Anxiety among English Academic Writing Learners in Pakistan

Writing ability is a prerequisite to be successful in academic pursuits. Pakistani student writers experience a range of issues, including psychological, cognitive, social, and linguistic when they write. Writing instructors need to use appropriate teaching strategies and methodologies to tackle writing-related issues (Khan & Zaki, 2018). Most of the Pakistani ESL writing students are educated through the stereotypical teacher-centered Product Approach focuses on the memorization of ready-made answers. As a result, the learners face great challenges; ESL writing Anxiety is one of the major challenges (Gopang, Bughio, & Pathan, 2018). The aim of this quasi-experimental study based on predominantly the post-positivist and the marginally pragmatic philosophical framework is to explore the effects of the Process-Genre Approach (PGA) on writing anxiety among ESL intermediate/pre-university students in Pakistan. The research tools were included to collect data: Second Language Writing Anxiety Inventory (SLWAI), 22-item multidimensional questionnaire, and interviews to investigate the effects of the experiment on writing apprehensions. Data were collected before and after the designed academic writing module based on the Process-Genre approach and pair sample t-test was applied to yield statistically significant results showing that average writing anxiety score was reduced from 77.17 to 66.72 among control group and from 73.57 to 50.25 among the experimental group. Quantities data collected through interviews were analyzed using thematic analysis also supplement that the treatment was effective to reduce writing anxiety

Mortality from gastrointestinal congenital anomalies at 264 hospitals in 74 low-income, middle-income, and high-income countries: a multicentre, international, prospective cohort study

Summary Background Congenital anomalies are the fifth leading cause of mortality in children younger than 5 years globally. Many gastrointestinal congenital anomalies are fatal without timely access to neonatal surgical care, but few studies have been done on these conditions in low-income and middle-income countries (LMICs). We compared outcomes of the seven most common gastrointestinal congenital anomalies in low-income, middle-income, and high-income countries globally, and identified factors associated with mortality. Methods We did a multicentre, international prospective cohort study of patients younger than 16 years, presenting to hospital for the first time with oesophageal atresia, congenital diaphragmatic hernia, intestinal atresia, gastroschisis, exomphalos, anorectal malformation, and Hirschsprung’s disease. Recruitment was of consecutive patients for a minimum of 1 month between October, 2018, and April, 2019. We collected data on patient demographics, clinical status, interventions, and outcomes using the REDCap platform. Patients were followed up for 30 days after primary intervention, or 30 days after admission if they did not receive an intervention. The primary outcome was all-cause, in-hospital mortality for all conditions combined and each condition individually, stratified by country income status. We did a complete case analysis. Findings We included 3849 patients with 3975 study conditions (560 with oesophageal atresia, 448 with congenital diaphragmatic hernia, 681 with intestinal atresia, 453 with gastroschisis, 325 with exomphalos, 991 with anorectal malformation, and 517 with Hirschsprung’s disease) from 264 hospitals (89 in high-income countries, 166 in middleincome countries, and nine in low-income countries) in 74 countries. Of the 3849 patients, 2231 (58·0%) were male. Median gestational age at birth was 38 weeks (IQR 36–39) and median bodyweight at presentation was 2·8 kg (2·3–3·3). Mortality among all patients was 37 (39·8%) of 93 in low-income countries, 583 (20·4%) of 2860 in middle-income countries, and 50 (5·6%) of 896 in high-income countries (p<0·0001 between all country income groups). Gastroschisis had the greatest difference in mortality between country income strata (nine [90·0%] of ten in lowincome countries, 97 [31·9%] of 304 in middle-income countries, and two [1·4%] of 139 in high-income countries; p≤0·0001 between all country income groups). Factors significantly associated with higher mortality for all patients combined included country income status (low-income vs high-income countries, risk ratio 2·78 [95% CI 1·88–4·11], p<0·0001; middle-income vs high-income countries, 2·11 [1·59–2·79], p<0·0001), sepsis at presentation (1·20 [1·04–1·40], p=0·016), higher American Society of Anesthesiologists (ASA) score at primary intervention (ASA 4–5 vs ASA 1–2, 1·82 [1·40–2·35], p<0·0001; ASA 3 vs ASA 1–2, 1·58, [1·30–1·92], p<0·0001]), surgical safety checklist not used (1·39 [1·02–1·90], p=0·035), and ventilation or parenteral nutrition unavailable when needed (ventilation 1·96, [1·41–2·71], p=0·0001; parenteral nutrition 1·35, [1·05–1·74], p=0·018). Administration of parenteral nutrition (0·61, [0·47–0·79], p=0·0002) and use of a peripherally inserted central catheter (0·65 [0·50–0·86], p=0·0024) or percutaneous central line (0·69 [0·48–1·00], p=0·049) were associated with lower mortality. Interpretation Unacceptable differences in mortality exist for gastrointestinal congenital anomalies between lowincome, middle-income, and high-income countries. Improving access to quality neonatal surgical care in LMICs will be vital to achieve Sustainable Development Goal 3.2 of ending preventable deaths in neonates and children younger than 5 years by 2030

Application of Roland Barthes' Narrative Codes to Leigh Bardugo's Shadow and Bone

This paper aims to find out the utilization of Roland Barthes' narrative codes in Leigh Bardugo's Shadow and Bone. The story of the novel is woven around these codes. Roland Barthes introduced these codes in 1970s, after a thorough study of the novel Sarrasine, written by Honore de Balzac. After the study, Roland Barthes made his own framework and named it, the Narrative Codes of textual analysis. These are: The Hermeneutic Code, The Proairetic Code, The Semantic Code, The Symbolic Code, and The Cultural Code. Roland Barthes' codes are part of Structuralism's approach. The story of the novel in the given study revolves around a girl named Alina Starkov. She saves the woebegone people of Ravka- a fictional city- from the influence of the Darkling. The researcher utilizes a Qualitative approach by exploiting the codes mentioned above to explore the text. The analysis discusses the findings with reference to the novel. Many quotations have been taken from the text of the novel to make the study and analysis genuine. The study is limited to a few extracts of the novel and it concludes that Proairetic and Enigmatic code is used more frequently than others. Language is used as a tool to manifest cultural code. While the semantic code is least used in the novel

Path planning in unmanned aerial vehicles : An optimistic overview

With the development in the technology, a rapid increase in the use of unmanned aerial vehicle (UAV) is observed. UAVs are executing tasks that were previously performed by humans or manned aircraft, thus reducing the man workload and saving time. Path planning of UAVs is one of the most researched topics these days. Researchers are investigating more about UAVs and path planning to make it more feasible and economical. The major issue faced while planning a feasible path is to detect and avoid the obstacles encountered during a mission. This paper presents a detailed analysis of path planning in UAVs. Important aspects of path planning, that is, environment, dimensions, obstacles, and type and number of UAVs used in path planning, are also being discussed. Obstacle scenarios which UAV may come across during a mission and constraints which UAV has to follow for successful mission are briefly mentioned. Optimization techniques used to optimize the UAV path are also presented. In addition, future challenges and issues are also discussed

Energy Efficient UAV-Enabled Mobile Edge Computing for IoT Devices : A Review

With the emergence of computation-intensive and delay-sensitive applications, such as face recognition, virtual reality, augmented reality, and Internet of Things (IoT) devices; Mobile Edge Computing (MEC) allows the IoT devices to offload their heavy computation tasks to nearby edge cloud network rather than to compute the tasks locally. Therefore, it helps to reduce the energy consumption and execution delay in the ground mobile users. Flying Unmanned Aerial Vehicles (UAVs) integrated with the MEC server play a key role in 5G and future wireless communication networks to provide spatial coverage and further computational services to the small, battery-powered and energy-constrained devices. The UAV-enabled MEC (U-MEC) system has flexible mobility and more computational capability compared to the terrestrial MEC network. They support line-of-sight (LoS) links with the users offloading their tasks to the UAVs. Hence, users can transmit more data without interference by mitigating small-scale fading and shadowing effects. UAVs resources and flight time are very limited due to size, weight, and power (SWaP) constraints. Therefore, energy-aware communication and computation resources are allocated in order to minimize energy consumption.In this paper, a brief survey on U-MEC networks is presented. It includes the brief introduction regarding UAVs and MEC technology. The basic terminologies and architectures used in U-MEC networks are also defined. Moreover, mobile edge computation offloading working, different access schemes used during computation offloading technique are explained. Resources that are needed to be optimized in U-MEC systems are depicted with different optimization problem, and solution types. Furthermore, to guide future work in this area of research, future research directions are outlined. At the end, challenges and open issues in this domain are also summarized

Resource Management in UAV Enabled MEC Networks

Mobile edge cloud networks can be used to offload computationally intensive tasks from Internet of Things (IoT) devices to nearby mobile edge servers, thereby lowering energy consumption and response time for ground mobile users or IoT devices. Integration of Unmanned Aerial Vehicles (UAVs) and the mobile edge computing (MEC) server will significantly benefit small, battery-powered, and energy-constrained devices in 5G and future wireless networks. We address the problem of maximising computation efficiency in U-MEC networks by optimising the user association and offloading indicator (OI), the computational capacity (CC), the power consumption, the time duration, and the optimal location planning simultaneously. It is possible to assign some heavy tasks to the UAV for faster processing and small ones to the mobile users (MUs) locally. This paper utilizes the k-means clustering algorithm, the interior point method, and the conjugate gradient method to iteratively solve the non-convex multi-objective resource allocation problem. According to simulation results, both local and offloading schemes give optimal solution

Clinical Manifestations and Role of Proton Pump Inhibitors in the Management of Laryngopharyngeal Reflux

Laryngopharyngeal reflux (LPR) refers to the backflow of stomach contents into the throat that is into the hypopharynx. LPR is different from classical Gastroesophageal reflux disease (GERD) in many ways. Proton pump inhibitors have become the treatment of choice even though conflicting results exists in their response. Treatment requires acid suppression to be as complete as possible and treatment failure is not uncommon. In this article we present here our prospective study of 50 patients diagnosed as a case of LPR on the basis of reflux finding score and reflux symptom index. We tried to evaluate the role of PPI in LPR management by observing the effect of PPI on reflux finding score (RFS) and reflux symptom index (RFI) during the follow up period of 16 weeks

Measurement of the τ\tau lepton polarization in Z boson decays in proton-proton collisions at s\sqrt{s} = 13 TeV

International audienceThe polarization of $\tau$ leptons is measured using leptonic and hadronic $\tau$ lepton decays in Z $\to\tau^+\tau^-$ events in proton-proton collisions at $\sqrt{s}$ = 13 TeV recorded by CMS at the CERN LHC with an integrated luminosity of 36.3 fb$^{-1}$. The measured $\tau^-$ polarization at the Z boson mass pole is $\mathcal{P}_{\tau}$(Z) = $-$0.144$\pm$0.006 (stat) $\pm$ 0.014 (syst) = $-$0.144$\pm$0.015, in good agreement with the measurement of the $\tau$ lepton asymmetry parameter of $A_{\tau}$ = 0.1439$\pm$0.0043 = $-\mathcal{P}_{\tau}$(Z) at LEP. The $\tau$ polarization depends on the ratio of the vector to axial-vector couplings of the $\tau$ leptons in the neutral current expression, and thus on the effective weak mixing angle $\sin^{2}\theta_\mathrm{W}^{\text{eff}}$, independently of the Z boson production mechanism. The obtained value $\sin^{2}\theta_\mathrm{W}^{\text{eff}}$ = 0.2319$\pm$0.0008 (stat) $\pm$ 0.0018 (syst) = 0.2319$\pm$0.0019 is in good agreement with measurements at e$^+$e$^-$ colliders