bluuebunny/crossref_metadata_2025_split huggingface dataset:
Perceived weight gain and eating disorder symptoms among LGBTQ+ adults during the COVID-19 pandemic: a convergent mixed-method study
Authors: Tabler Jennifer , Schmitz Rachel M. , Charak Ruby , Dickinson Eliza 
Published: September 2021

Abstract
Background
In this study, we further explore the role of COVID-19 pandemic-related stress, social support, and resilience on self-reported eating disorder symptoms (using the EDE-QS) and perceived weight gain among lesbian, gay, bisexual, transgender, and/or queer (LGBTQ+ adults) in the US context during the COVID-19 pandemic.

Methods
Employing a convergent mixed method design, we surveyed 411 individuals, and conducted qualitative semi-structured follow-up interviews with 43 LGBTQ+ -identifying survey respondents. Using OLS regression and multinomial logistic regression, we modeled eating disorder symptoms and perceived weight gain among LGBTQ+ individuals (n = 120) and cisgender and heterosexual-identifying women (n = 230), to cisgender and heterosexual-identifying men (n = 61). We also explored complementary interview narratives among LGBTQ+ people by employing selective coding strategies.

Results
Study results suggest that LGBTQ+ individuals are likely experiencing uniquely high levels of pandemic-related stress, and secondly, that pandemic-related stress is associated with elevated eating disorder symptoms and higher risk of perceived weight gain. Nearly 1 in 3 participants reported eating disorder symptoms of potentially clinical significance. Social support, but not resilient coping, was found to be protective against increased eating disorder symptoms. Qualitative analyses revealed that LGBTQ+ individuals situated physical exercise constraints, challenging eating patterns, and weight concerns within their pandemic experiences.

Conclusions
Clinicians of diverse specialties should screen for eating disorder symptoms and actively engage patients in conversations about their COVID-19-related weight gain and eating behaviors, particularly with LGBTQ+ -identifying adults.
Translation of the Chinese version of the modified Yale Food Addiction Scale 2.0 and its validation among college students
Authors: Zhang Hui , Tong Tong , Gao Ye , Liang Chunguang , Yu Haitao , Li Sisi , Yan Xiangru , Wang Liying 
Published: September 2021

Abstract
Background
Obesity prevalence has substantially increased in China over the past decade. In China, over 1 in 7 individuals meet the criteria for overall obesity, and 1 in 3 meet the criteria for abdominal obesity, obesity has become a significant problem. Studies have shown that food addiction and obesity are inextricably linked. The modified Yale Food Addiction Scale 2.0 (mYFAS 2.0) is a brief measurement for assessing food addiction. This study aimed to explore the structure of the Chinese version of the mYFAS 2.0 and assess the occurrence of food addiction in a sample of college students in Northeast China.

Methods
A cross-sectional design was conducted in a sample of 1099 undergraduate students in Northeast China. Participants completed the sociodemographic questionnaire, the Chinese version of the mYFAS 2.0, the Barratt Impulsiveness Scale (BIS-8), and the Self-Esteem Scale (SES) to test the hypothesis. Exploratory factor analysis and confirmatory factor analysis were performed to examine the underlying factor structure of the mYFAS 2.0. Two weeks later, 62 students who participated in the first test were recruited to evaluate the test–retest reliability.

Results
The Chinese version of the mYFAS 2.0 demonstrated adequate internal consistency, good test–retest reliability and satisfactory construct validity. The results of the confirmatory factor analysis found that the Chinese version of the mYFAS 2.0 demonstrated a good fit to the two-factor solution identified by the exploratory factor analysis and showed superior fit indices compared to the one-factor model. The prevalence of food addiction in our sample was found to be in line with rates observed in other Asian and Western samples. The mYFAS 2.0 symptom count scores were correlated with BMI, the idea of dieting to lose weight, the desire to overeat, low self-esteem, and impulsivity.

Conclusion
The results indicate that the Chinese version of the mYFAS 2.0 has good reliability and validity, and that it can be considered a tool to evaluate the addictive eating behaviours of undergraduate students.
Investigating drug–target interactions in frontotemporal dementia using a network pharmacology approach
Authors: Balasubramanian Archana , Sudarshan Raksha , Chatterjee Jhinuk 
Published: September 2021

Abstract
Background
Frontotemporal dementia (FTD) is the second most common type of dementia in individuals aged below 65 years with no current cure. Current treatment plan is the administration of multiple medications. This has the issue of causing adverse effects due to unintentional drug–drug interactions. Therefore, there exists an urgent need to propose a novel targeted therapy that can maximize the benefits of FTD-specific drugs while minimizing its associated adverse side effects.
In this study, we implemented the concept of network pharmacology to understand the mechanism underlying FTD and highlight specific drug–gene and drug–drug interactions that can provide an interesting perspective in proposing a targeted therapy against FTD.

Results
We constructed protein–protein, drug–gene and drug–drug interaction networks to identify highly connected nodes and analysed their importance in associated enriched pathways. We also performed a historeceptomics analysis to determine tissue-specific drug interactions.
Through this study, we were able to shed light on the APP gene involved in FTD. The APP gene which was previously known to cause FTD cases in a small percentage is now being extensively studied owing to new reports claiming its participation in neurodegeneration. Our findings strengthen this hypothesis as the APP gene was found to have the highest node degree and betweenness centrality in our protein–protein interaction network and formed an essential hub node between disease susceptibility genes and neuroactive ligand–receptors.
Our findings also support the study of FTD being presented as a case of substance abuse. Our protein–protein interaction network highlights the target genes common to substance abuse (nicotine, morphine and cocaine addiction) and neuroactive ligand–receptor interaction pathways, therefore validating the cognitive impairment caused by substance abuse as a symptom of FTD.

Conclusions
Our study abandons the one-target one-drug approach and uses networks to define the disease mechanism underlying FTD. We were able to highlight important genes and pathways involved in FTD and analyse their relation with existing drugs that can provide an insight into effective medication management.
Implementation of strategic cost management in manufacturing companies: overcoming costs stickiness and increasing corporate sustainability
Authors: Rounaghi Mohammad Mahdi , Jarrar Hajer , Dana Leo-Paul 
Published: September 2021

AbstractIn today's competitive world, three factors: price, quality and time have critical roles in the success of the companies to achieve success in the competition. For this purpose, the companies have to also adapt themselves to changes in technology and environment. Strategic cost management is the best way to improve the sustainable management models in the manufacturing companies. Strategic cost management has solved many of the problems and shortcomings of traditional accounting system and by accurate determination of costs, their proper allocation to products and elimination of waste, tries to create value for shareholders by using continuous improvement. The objective of this paper was to develop a management model called strategic cost management that reduced costs stickiness and increased corporate sustainability. Using strategic cost management approach can create competitive advantage for the companies, because it provides accurate cost price information so that the users can easily understand the information. The aim of the paper by introducing strategic cost management was to contribute toward accurate pricing, which could result in the increased profitability and competitiveness of the manufacturing companies in a highly competitive global market and at a market‐based price. Also, due to the growing competition among companies in providing high quality products with reasonable prices, a precise system of measurement of the cost of the product is necessary.
Spectrum ofBRAFMutations and Gene Rearrangements in Ovarian Serous Carcinoma
Authors: Chui M. Herman , Chang Jason C. , Zhang Yanming , Zehir Ahmet , Schram Alison M. , Konner Jason , Drilon Alexander E. , Da Cruz Paula Arnaud , Weigelt Britta , Grisham Rachel N. 
Published: September 2021

PURPOSELow-grade serous carcinoma (LGSC) is a rare type of ovarian cancer, which commonly arises from serous borderline tumor (SBT) and is characterized by frequent activating mutations in the mitogen-activated protein kinase pathway, including BRAF. The BRAFV600Emutation is associated with improved prognosis in SBT and LGSC, and responses to BRAF inhibitor therapy have been reported. We sought to characterize the clinicopathologic and molecular features of BRAF-driven tubo-ovarian and primary peritoneal serous tumors.METHODSRetrospective analysis of our institutional cohort of SBTs (n = 22), LGSCs (n = 119) and high-grade serous carcinomas (HGSCs, n = 1,290) subjected to targeted massively parallel sequencing was performed to identify cases with BRAF genetic alterations. Putative BRAF rearrangements were confirmed using targeted RNA sequencing and/or fluorescence in situ hybridization (FISH). BRAFV600Eoncoprotein expression was assessed by immunohistochemistry on selected cases.RESULTSBRAF somatic genetic alterations were identified in 29 of 1,431 (2%) serous tumors and included mutations (n = 24), gene rearrangements (n = 3), and amplification (n = 2). BRAF mutations were more frequent in SBTs (7 of 22; 32%) compared with LGSCs (11 of 119; 9%, P = .009) and HGSCs (6 of 1,290; 0.5%; P < .0001, SBT/LGSC v HGSC). The BRAFV600Ehotspot mutation was most common (n = 16); however, other BRAF driver mutations were also detected (n = 8). BRAF mutations were often clonal or truncal in SBTs and LGSCs, but subclonal in most HGSCs. Pathogenic BRAF gene fusions were identified in LGSCs (n = 2) and HGSC (n = 1) and involved distinct fusion partners ( AGK, MKRN1, and AGAP3). Three patients with BRAF-mutant LGSC were treated with targeted mitogen-activated protein kinase inhibitors, one of whom was maintained on therapy for over 3 years with clinical benefit.CONCLUSIONRecognition of BRAF alterations beyond V600E mutation in LGSC may have clinical implications for appropriate targeted therapy selection.
Retinal ganglion cell survival after severe optic nerve injury is modulated by crosstalk between Jak/Stat signaling and innate immune responses in the zebrafish retina
Authors: Chen Si , Lathrop Kira L. , Kuwajima Takaaki , Gross Jeffrey M. 
Published: September 2021

ABSTRACT
Visual information is transmitted from the eye to the brain along the optic nerve, a structure composed of retinal ganglion cell (RGC) axons. The optic nerve is highly vulnerable to damage in neurodegenerative diseases, such as glaucoma, and there are currently no FDA-approved drugs or therapies to protect RGCs from death. Zebrafish possess remarkable neuroprotective and regenerative abilities. Here, utilizing an optic nerve transection (ONT) injury and an RNA-seq-based approach, we identify genes and pathways active in RGCs that may modulate their survival. Through pharmacological perturbation, we demonstrate that Jak/Stat pathway activity is required for RGC survival after ONT. Furthermore, we show that immune responses directly contribute to RGC death after ONT; macrophages/microglia are recruited to the retina and blocking neuroinflammation or depleting these cells after ONT rescues survival of RGCs. Taken together, these data support a model in which crosstalk between macrophages/microglia and RGCs, mediated by Jak/Stat pathway activity, regulates RGC survival after optic nerve injury.
YAP establishes epiblast responsiveness to inductive signals for germ cell fate
Authors: Kagiwada Saya , Aramaki Shinya , Wu Guangming , Shin Borami , Kutejova Eva , Obridge David , Adachi Kenjiro , Wrana Jeffrey L. , Hübner Karin , Schöler Hans R. 
Published: September 2021

ABSTRACT
The germ cell lineage in mammals is induced by the stimulation of pluripotent epiblast cells by signaling molecules. Previous studies have suggested that the germ cell differentiation competence or responsiveness of epiblast cells to signaling molecules is established and maintained in epiblast cells of a specific differentiation state. However, the molecular mechanism underlying this process has not been well defined. Here, using the differentiation model of mouse epiblast stem cells (EpiSCs), we have shown that two defined EpiSC lines have robust germ cell differentiation competence. However, another defined EpiSC line has no competence. By evaluating the molecular basis of EpiSCs with distinct germ cell differentiation competence, we identified YAP, an intracellular mediator of the Hippo signaling pathway, as crucial for the establishment of germ cell induction. Strikingly, deletion of YAP severely affected responsiveness to inductive stimuli, leading to a defect in WNT target activation and germ cell differentiation. In conclusion, we propose that the Hippo/YAP signaling pathway creates a potential for germ cell fate induction via mesodermal WNT signaling in pluripotent epiblast cells.
Cost Effectiveness of Watch and Wait Versus Resection in Rectal Cancer Patients with Complete Clinical Response to Neoadjuvant Chemoradiation
Authors: Cui Christina Liu , Luo William Yu , Cosman Bard Clifford , Eisenstein Samuel , Simpson Daniel , Ramamoorthy Sonia , Murphy James , Lopez Nicole 
Published: September 2021

Abstract
Background
Watch and wait (WW) protocols have gained increasing popularity for patients diagnosed with locally advanced rectal cancer and presumed complete clinical response after neoadjuvant chemoradiation. While studies have demonstrated comparable survival and recurrence rates between WW and radical surgery, the decision to undergo surgery has significant effects on patient quality of life. We sought to conduct a cost-effectiveness analysis comparing WW with abdominoperineal resection (APR) and low anterior resection (LAR) among patients with stage II/III rectal cancer.

Methods
In this comparative-effectiveness study, we built Markov microsimulation models to simulate disease progression, death, costs, and quality-adjusted life-years (QALYs) for WW or APR/LAR. We assessed cost effectiveness using the incremental cost-effectiveness ratio (ICER), with ICERs under $100,000/QALY considered cost effective. Probabilities of disease progression, death, and health utilities were extracted from published, peer-reviewed literature. We assessed costs from the payer perspective.

Results
WW dominated both LAR and APR at a willingness to pay (WTP) threshold of $100,000. Our model was most sensitive to rates of distant recurrence and regrowth after WW. Probabilistic sensitivity analysis demonstrated that WW was the dominant strategy over both APR and LAR over 100% of iterations across a range of WTP thresholds from $0–250,000.

Conclusions
Our study suggests WW could reduce overall costs and increase effectiveness compared with either LAR or APR. Additional clinical research is needed to confirm the clinical efficacy and cost effectiveness of WW compared with surgery in rectal cancer.
New Strategy for Synthesis of Bis-Pocket Metalloporphyrins Enabling Regioselective Catalytic Oxidation of Alkanes
Authors: Amano Taisei , Inagaki Hideki , Shirakawa Yoshinori , Yano Yuuki , Hisamatsu Yosuke , Umezawa Naoki , Kato Nobuki , Higuchi Tsunehiko 
Published: September 2021

Abstract
Cytochrome P450 selectively hydroxylates the ω and ω-1 positions of fatty acids. Among synthetic oxidizing catalysts, Suslick’s bis-pocket porphyrin Mn or Fe complex achieved ω oxidation for the first time, but the yield in the preparation of the catalyst was poor due to steric hindrance, and in addition, the catalyst turnover number in the oxidation reaction was low. We have devised a new synthetic strategy involving the introduction of eight bulky aryl groups at the 2,6-positions of the meso-phenyl groups after construction of the porphyrin skeleton. This strategy greatly improved the yield in synthesis of the catalyst, and a number of derivatives of bis-pocket porphyrin and their metal complexes were prepared. These Ru complexes show unique ω-1 selectivity and provide a much higher turnover number in the oxidation of linear alkane with 2,6-dichloropyridine N-oxide, as compared to the reaction catalyzed by conventional Ru porphyrins.
Reinfection after COVID vaccination - The challenge is not yet over
Authors: Ahmed Shanila , Ali Noman 
Published: September 2021

doi: https://doi.org/10.12669/pjms.37.7.5228
How to cite this:Ahmed S, Ali N. Reinfection after COVID vaccination-The challenge is not yet over. Pak J Med Sci. 2021;37(7):---------. doi: https://doi.org/10.12669/pjms.37.7.5228
A visual approach towards forward collision warning for autonomous vehicles on Malaysian public roads
Authors: Wong Man Kiat , Connie Tee , Goh Michael Kah Ong , Wong Li Pei , Teh Pin Shen , Choo Ai Ling 
Published: September 2021

Background: Autonomous vehicles are important in smart transportation. Although exciting progress has been made, it remains challenging to design a safety mechanism for autonomous vehicles despite uncertainties and obstacles that occur dynamically on the road. Collision detection and avoidance are indispensable for a reliable decision-making module in autonomous driving. Methods: This study presents a robust approach for forward collision warning using vision data for autonomous vehicles on Malaysian public roads. The proposed architecture combines environment perception and lane localization to define a safe driving region for the ego vehicle. If potential risks are detected in the safe driving region, a warning will be triggered. The early warning is important to help avoid rear-end collision. Besides, an adaptive lane localization method that considers geometrical structure of the road is presented to deal with different road types. Results: Precision scores of mean average precision (mAP) 0.5, mAP 0.95 and recall of 0.14, 0.06979 and 0.6356 were found in this study. Conclusions: Experimental results have validated the effectiveness of the proposed approach under different lighting and environmental conditions.
Digital signature schemes with strong existential unforgeability
Authors: Chia Jason , Chin Ji-Jian , Yip Sook-Chin 
Published: September 2021

Digital signature schemes (DSS) are ubiquitously used for public authentication in the infrastructure of the internet, in addition to their use as a cryptographic tool to construct even more sophisticated schemes such as those that are identity-based. The security of DSS is analyzed through the existential unforgeability under chosen message attack (EUF-CMA) experiment which promises unforgeability of signatures on new messages even when the attacker has access to an arbitrary set of messages and their corresponding signatures. However, the EUF-CMA model does not account for attacks such as an attacker forging a different signature on an existing message, even though the attack could be devastating in the real world and constitutes a severe breach of the security system. Nonetheless, most of the DSS are not analyzed in this security model, which possibly makes them vulnerable to such an attack. In contrast, a better security notion known as strong EUF-CMA (sEUF-CMA) is designed to be resistant to such attacks. This review aims to identify DSS in the literature that are secure in the sEUF-CMA model. In addition, the article discusses the challenges and future directions of DSS. In our review, we consider the security of existing DSS that fit our criterion in the sEUF-CMA model; our criterion is simple as we only require the DSS to be at least secure against the minimum of existential forgery. Our findings are categorized into two classes: the direct and indirect classes of sEUF-CMA. The former is inherently sEUF-CMA without any modification while the latter requires some transformation. Our comprehensive review contributes to the security and cryptographic research community by discussing the efficiency and security of DSS that are sEUF-CMA, which aids in selecting robust DSS in future design considerations.
COVID-19 impact: Customised economic stimulus package recommender system using machine learning techniques
Authors: Kannan Rathimala , Wang Ivan Zhi Wei , Ong Hway Boon , Ramakrishnan Kannan , Alamsyah Andry 
Published: September 2021

Background: The Malaysian government reacted to the pandemic’s economic effect with the Prihatin Rakyat Economic Stimulus Package (ESP) to cushion the novel coronavirus 2019 (COVID-19) impact on households. The ESP consists of cash assistance, utility discount, moratorium, Employee Provident Fund (EPF) cash withdrawals, credit guarantee scheme and wage subsidies. A survey carried out by the Department of Statistics Malaysia (DOSM) shows that households prefer different types of financial assistance. These preferences forge the need to effectively customise ESPs to manage the economic burden among low-income households. In this study, a recommender system for such ESPs was designed by leveraging data analytics and machine learning techniques. Methods: This study used a dataset from DOSM titled “Effects of COVID-19 on the Economy and Individual - Round 2,” collected from April 10 to April 24, 2020. Cross-Industry Standard Process for Data Mining was followed to develop machine learning models to classify ESP receivers according to their preferred subsidies types. Four machine learning techniques—Decision Tree, Gradient Boosted Tree, Random Forest and Naïve Bayes—were used to build the predictive models for each moratorium, utility discount and EPF and Private Remuneration Scheme (PRS) cash withdrawals subsidies. The best predictive model was selected based on F-score metrics. Results: Among the four machine learning techniques, Gradient Boosted Tree outperformed the rest. This technique predicted the following: moratorium preferences with 93.8% sensitivity, 82.1% precision and 87.6% F-score; utilities discount with 86% sensitivity, 82.1% precision and 84% F-score; and EPF and PRS with 83.6% sensitivity, 81.2% precision and 82.4% F-score. Households that prefer moratorium subsidies did not favour other financial aids except for cash assistance. Conclusion: Findings present machine learning models that can predict individual household preferences from ESP. These models can be used to design customised ESPs that can effectively manage the financial burden of low-income households.
Ranging system based on optical carrier-based microwave interferometry
Authors: Ding Aiqi , Wu Bin , Hou Yibing , Yue Jiantao 
Published: September 2021

To compensate for the refractive index errors in optical carrier-based microwave interferometry (OCMI), a ranging system is designed to measure the single-arm optical path of OCMI. A high-speed photodetector and a downconversion method are used to acquire the microwave envelope of the interference signal. A Hilbert transformation is used to realize phase detection. Simulation shows the linear relationship between the phase and optical length in a period. Adjusting the microwave frequency can resolve the phase ambiguity. The experimental results show that when the maximum microwave modulation frequency is set to 1.5 GHz, the standard deviation of the measured data can be limited to the level of

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