“‘Sink or swim’: buoyancy and coping in the cognitive test anxiety – academic performance relationship”

© 2015 Taylor & Francis This study explores the relationship between students’ self-report levels of cognitive test anxiety (worry), academic buoyancy (withstanding and successfully responding to routine school challenges and setbacks), coping processes and their achieved grades in high-stakes national examinations at the end of compulsory schooling. The sample comprised 325 English students in their final year of secondary school preparing for high-stakes examinations. While controlling for prior attainment and gender, higher worry predicted lower examinations scores. This was partially mediated by less use of effective pre-exam coping strategies. Academic buoyancy moderated the indirect relationship such that the indirect negative relationship from worry to examination performance was stronger when academic buoyancy was lower. The paper concludes that providing in-school training in task-focus and orientation and how to withstand academic pressures may help to ameliorate the influence of performance-interfering worries, and potentially enhance performance among students inclined to worry about examinations

Folate-conjugated nanoparticles as a potent therapeutic approach in targeted cancer therapy

The selective and efficient drug delivery to tumor cells can remarkably improve different cancer therapeutic approaches. There are several nanoparticles (NPs) which can act as a potent drug carrier for cancer therapy. However, the specific drug delivery to cancer cells is an important issue which should be considered before designing new NPs for in vivo application. It has been shown that cancer cells over-express folate receptor (FR) in order to improve their growth. As normal cells express a significantly lower levels of FR compared to tumor cells, it seems that folate molecules can be used as potent targeting moieties in different nanocarrier-based therapeutic approaches. Moreover, there is evidence which implies folate-conjugated NPs can selectively deliver anti-tumor drugs into cancer cells both in vitro and in vivo. In this review, we will discuss about the efficiency of different folate-conjugated NPs in cancer therapy. © 2015, International Society of Oncology and BioMarkers (ISOBM)

Distributed MIMO Precoding with Routing Constraints in Segmented Fronthaul

Distributed Multiple-Input and Multiple-Output (D-MIMO) is envisioned to play a significant role in future wireless communication systems as an effective means to improve coverage and capacity. In this paper, we have studied the impact of a practical two-level data routing scheme on radio performance in a downlink D-MIMO scenario with segmented fronthaul. At the first level, a Distributed Unit (DU) is connected to the Aggregating Radio Units (ARUs) that behave as cluster heads for the selected serving RU groups. At the second level, the selected ARUs connect with the additional serving RUs. At each route discovery level, RUs and/or ARUs share information with each other. The aim of the proposed framework is to efficiently select serving RUs and ARUs so that the practical data routing impact for each User Equipment (UE) connection is minimal. The resulting post-routing Signal-to-Interference plus Noise Ratio (SINR) among all UEs is analyzed after the routing constraints have been applied. The results show that limited fronthaul segment capacity causes connection failures with the serving RUs of individual UEs, especially when long routing path lengths are required. Depending on whether the failures occur at the first or the second routing level, a UE may be dropped or its SINR may be reduced. To minimize the DU-ARU connection failures, the segment capacity of the segments closest to the DU is set as double as the remaining segments. When the number of active co-scheduled UEs is kept low enough, practical segment capacities suffice to achieve a zero UE dropping rate. Besides, the proper choice of maximum path length setting should take into account segment capacity and its utilization due to the relation between the two.Comment: This is the accepted version of a paper published in 2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). The final version is available at https://ieeexplore.ieee.org/document/1029378

T5APR: Empowering Automated Program Repair across Languages through Checkpoint Ensemble

Automated program repair (APR) using deep learning techniques has become an important area of research in recent years, aiming to automatically generate bug-fixing patches that can improve software reliability and maintainability. However, most existing methods either target a single language or require high computational resources to train multilingual models. In this paper, we propose T5APR, a novel neural program repair approach that provides a unified solution for bug fixing across multiple programming languages. T5APR leverages CodeT5, a powerful pre-trained text-to-text transformer model, and adopts a checkpoint ensemble strategy to improve patch recommendation. We conduct comprehensive evaluations on six well-known benchmarks in four programming languages (Java, Python, C, JavaScript), demonstrating T5APR's competitiveness against state-of-the-art techniques. T5APR correctly fixes 1,985 bugs, including 1,442 bugs that none of the compared techniques has fixed. We further support the effectiveness of our approach by conducting detailed analyses, such as comparing the correct patch ranking among different techniques. The findings of this study demonstrate the potential of T5APR for use in real-world applications and highlight the importance of multilingual approaches in the field of APR.Comment: Accepted to the Journal of Systems and Softwar

HUMAN COLLABORATION IN SELF -LEARNİNG SYSTEMS

Human-machine collaboration in self-learning refers to having humans and automated technology work alongside each other to achieve a shared goal. [1] Having entered a new era for years, where experiencing a steady and strong improvement in computational power, storage, and availability of big data. Although artificial intelligence has become a pervasive organizational phenomenon, it is still unclear if and when people will be willing to cooperate with machines. [2] Human-machine collaboration in self-learning seeks to address limitations by combining the qualities of both humans and machines. Humans and machines are dependent on each other. While machines can analyze and stock extensive data rapidly, they still lack the same creativity and understanding as humans. On the other hand, humans have these qualities, but they cannot process the vast amount of data as quickly or accurately as machines. [3

Load Control of a 300 h.p. Tunnelling Machine: The Addition of Integral Control Action to Prevent Manually Created Overloads

Whereas a proportional-plus-derivative controller (designed in Research Reports 220 and 230)for the Cadley Hill tunnelling machine was shown to produce only small load errors in response to changes in rock hardness, errors resulting from excessive manual rate settings were not investigated. It is here proposed that effective integral action can be incorporated to eliminate such errors, which can be excessive because of the very wide range of rate settings available to the driver. Implementations using a d.c. blocking circuit in the rate feedback channel of ther N.C.B. controller are tested connected to the analogue simulator of the tunnelling machine and shown to be successful. Redesign of the existing printed circuits will, however, be necessary to achieve an overriding controller that is completely error free

Lack of significant association between Helicobacter pylori infection and homocysteine levels in patients with cardiac syndrome X

Background: Helicobacter pylori (H.pylori) has been implicated in the pathogenesis of several diseases such as cardiac syndrome X (CSX), which includes chest pain, positive exercise stress test and normal angiography. Also, elevation of homocysteine (Hcy) level is associated with CSX, as it can severely disturb vascular endothelial function. We aimed to elucidate whether the infection of H.pylori affect the level of Hcy in CSX. Methods: Eighty-eight patients with CSX (32 men, 56 women; mean age: 53.8 ± 11.9) and 97 healthy controls (36 men, 61 women; mean age: 45.7 ± 7.3) were enrolled. Plasma samples were tested for the presence of IgG antibody to H.pylori using enzyme linked immunosorbent assay method. Hcy levels were measured enzymatically. Results: Plasma Hcy concentration in CSX patients is higher than control group (13.1 ± 2.6 vs. 11.8 ± 2.5 mmol/L; p = 0.002). There was no significant difference between Hcy in H.pylori+ and H.pylori– individuals in CSX group (13.1 ± 2.7 vs. 12.2 ± 0.6 mmol/L; p = 0.554) and between two groups in controls, respectively (12.1 ± 2.2 vs. 11.4 ± 2.9 mmol/L; p = 0.148). Conclusions: Although there is Hcy level increase in H.pylori+ CSX patients and controls comparing to H.pylori– subjects, but other factors may affect on Hcy level, too. (Cardiol J 2012; 19, 5: 466-469

PTPN22 Silencing in Human Acute T-Cell Leukemia Cell Line (Jurkat Cell) and its Effect on the Expression of miR-181a and miR-181b

Purpose: T-cell acute lymphoblastic leukemia (T-ALL) is one of the most common malignancies associated with T-lymphocytes, accounting for 10 to 15 percent of ALL cases in children and 25 percent in adults. Innovative therapeutic approaches that overcome ineffective treatments on tumor cells may be a potential source of improvement in therapeutic approaches. Suppression of gene expression at transfusion level is one of the important strategies in gene therapy. The expression of PTPN22 and miR-181 genes in all types of hematologic malignancies increases and is likely to contribute to the survival and death of cells by affecting a variety of signaling pathways. The purpose of this study was to determine the role of PTPN22 inhibition by siRNA, and alteration in miR-181a and miR-181b in Jurkat cell line. Methods: Jurkat cells were transfected with 80 pmol of siRNA to inhibit PTPN22. After that, expression of PTPN22 mRNA and transcript levels of miR-181a and miR-181b were measured with Real-time PCR after 48hrs. Results: Experiments demonstrated that siRNA transfection resulted in significant downregulation of PTPN22 mRNA after 48 hrs in 80 pmol dose of siRNA. Moreover, transcript levels of both miR-181a and miR-181b was decreased after transfection. Conclusion: PTPN22, miR-181a and miR-181b might be involved in progression of Jurkat cells and targeting these molecules by RNAi might confer promising tool in treatment of T-ALL

Burn and Hypertension: How Are They Related?

Background: A burn tissue injury is one of the most severe forms of trauma which results in severe life-threatening disturbances. Burn injury has many morbid complications, so it needs a multi-disciplinary care team according to the burn center to reduce its mortality and morbidity. Methods: This article aims to review drawbacks and complications associated with the burning injury including Acute Kidney Injury (AKI), Acute lung injury, Heart Failure, Electrolyte imbalance, intra-abdominal hypertension in children and adult burn patients, and recent challenging treatments. Results: Improved understanding of the pathophysiology of burn-induced complications can contribute to organizing a well-treatment plan, which leads to improved outcomes. Conclusions: Herein, the evidence available on the management of all burn induced-complications is summarized

Folate-conjugated nanoparticles as a potent therapeutic approach in targeted cancer therapy

The selective and efficient drug delivery to tumor cells can remarkably improve different cancer therapeutic approaches. There are several nanoparticles (NPs) which can act as a potent drug carrier for cancer therapy. However, the specific drug delivery to cancer cells is an important issue which should be considered before designing new NPs for in vivo application. It has been shown that cancer cells over-express folate receptor (FR) in order to improve their growth. As normal cells express a significantly lower levels of FR compared to tumor cells, it seems that folate molecules can be used as potent targeting moieties in different nanocarrier-based therapeutic approaches. Moreover, there is evidence which implies folate-conjugated NPs can selectively deliver anti-tumor drugs into cancer cells both in vitro and in vivo. In this review, we will discuss about the efficiency of different folate-conjugated NPs in cancer therapy.NoneManuscrip