bluuebunny/crossref_metadata_2025 huggingface dataset:
China’s Role in Global Health
Authors: Kifyasi Andrea Azizi
Published: March 2022

This paper discusses the manner and the extent to which countries of the Global South have engaged in the fight against pandemics. It shows how Southern countries, like their brothers in the North, played a significant role in the fight against diseases such as AIDS. It unveils that despite its multilateral engagement in global health from the 2000s following its domestic health crisis, the Chinese government engaged in several bilateral health projects to fight pandemics in Southern countries. Using the Chinese-funded HIV/AIDS Traditional Chinese Medicine (TCM) research and treatment project in Tanzania as its focal point, the paper examines the history of the project from its inception in 1987 to its decline in 2014, and shows the contexts that influenced its establishment, practice, and perceptions by patients. The paper argues that although the Sino-Tanzanian HIV/AIDS TCM research and treatment project was less impactful in addressing the disease and transmitting medical knowledge to local researchers and practitioners, it realized the contribution of countries of the Global South to global health. More importantly, the use of TCM in fighting HIV/AIDS demonstrated the prospects of traditional medicine in addressing global health challenges.
Long-term effect of ancient Ayurvedic Agnikarma therapy on heel pain associated with calcaneal spur: A case report
Authors: Verma Anita , Shete Sanjay , Doddoli Gururaj
Published: March 2022

We report the therapeutic effect of ancient Ayurvedic Agnikarma therapy on severe heel pain due to calcaneal spur. The patient, female, 34 years of age, presented with localized, severe and intermittent heel pain which increased with physical activities such as walking or running. A lateral X-ray revealed a large, well-defined bony projection at the base of calcaneus in both the heels. Agnikarma is an ancient Indian Ayurvedic surgical treatment for pain associated with ligament, joints and bones. It involves first- or second-degree burn (thermal cauterization) delivered precisely to the site of pain by using a specialized tool namely Shalaka, made up of five metals. Agnikarma provides instant, long-term and sustainable relief from chronic or acute pain by balancing the local vata and kapha doshas without any side effects. In the present case, Agnikarma treatment was administered for three consecutive weeks and the heel pain was rated on the Pain Analog Scale at each follow-up for up to three years. The patient reported a decrease in pain at each follow-up. No concomitant treatment was given for heel pain during the follow-up period. Agnikarma can have incredible benefits in the management of acute or chronic disorders of joints, ligaments and bones. Further, Agnikarma therapy is cost-effective and does not require hospitalization of the patient.
A Decade of International Migration Research in HCI: Overview, Challenges, Ethics, Impact, and Future Directions
Authors: Sabie Dina , Ekmekcioglu Cansu , Ahmed Syed Ishtiaque
Published: March 2022

This article presents a thorough discussion of the trajectories of international migration research in HCI. We begin by reporting our survey findings of 282 HCI-related publications about migration from nine digital libraries between 2010–2019, summarizing how this research stream has evolved, the geographies and populations it encompasses, and the methodologies it utilizes. We then augment these findings with data from interviews with 11 skilled researchers who reflect on their working experience in this area. Our analysis reveals how the domain has evolved from the European migrant crisis to a more global agenda of migration and points towards a shifting focus from addressing immediate needs to acknowledging more complex political and emotional aspects of mobility. We also uncover the critical role of academic, local, and international politics in migration research in HCI. We discuss these findings to explore future opportunities in this area and advance HCI research discourse with the marginalized populace.
Understanding, Addressing, and Analysing Digital Eye Strain in Virtual Reality Head-Mounted Displays
Authors: Hirzle Teresa , Fischbach Fabian , Karlbauer Julian , Jansen Pascal , Gugenheimer Jan , Rukzio Enrico , Bulling Andreas
Published: March 2022

Digital eye strain (DES), caused by prolonged exposure to digital screens, stresses the visual system and negatively affects users’ well-being and productivity. While DES is well-studied in computer displays, its impact on users of virtual reality (VR) head-mounted displays (HMDs) is largely unexplored—despite that some of their key properties (e.g., the vergence-accommodation conflict) make VR-HMDs particularly prone. This work provides the first comprehensive investigation into DES in VR HMDs. We present results from a survey with 68 experienced users to
understand
DES symptoms in VR-HMDs. To help
address
DES, we investigate eye exercises resulting from survey answers and blue light filtering in three user studies (N = 71). Results demonstrate that eye exercises, but not blue light filtering, can effectively reduce DES. We conclude with an extensive
analysis
of the user studies and condense our findings in 10 key challenges that guide future work in this emerging research area.
Towards Individuated Reading Experiences: Different Fonts Increase Reading Speed for Different Individuals
Authors: Wallace Shaun , Bylinskii Zoya , Dobres Jonathan , Kerr Bernard , Berlow Sam , Treitman Rick , Kumawat Nirmal , Arpin Kathleen , Miller Dave B. , Huang Jeff , Sawyer Ben D.
Published: March 2022

In our age of ubiquitous digital displays, adults often read in short, opportunistic interludes. In this context of
Interlude Reading
, we consider if manipulating font choice can improve adult readers’ reading outcomes. Our studies normalize font size by human perception and use hundreds of crowdsourced participants to provide a foundation for understanding, which fonts people prefer and which fonts make them more effective readers. Participants’ reading speeds (measured in words-per-minute (WPM)) increased by 35% when comparing fastest and slowest fonts without affecting reading comprehension. High WPM variability across fonts suggests that one font does not fit all. We provide font recommendations related to higher reading speed and discuss the need for individuation, allowing digital devices to match their readers’ needs in the moment. We provide recommendations from one of the most significant online reading efforts to date. To complement this, we release our materials and tools with this article.
Private and Online Learnability Are Equivalent
Authors: Alon Noga , Bun Mark , Livni Roi , Malliaris Maryanthe , Moran Shay
Published: April 2022

Let
H
be a binary-labeled concept class. We prove that
H
can be PAC learned by an (approximate) differentially private algorithm if and only if it has a finite Littlestone dimension. This implies a qualitative equivalence between online learnability and private PAC learnability.
D’ya Like DAGs? A Survey on Structure Learning and Causal Discovery
Authors: Vowels Matthew J. , Camgoz Necati Cihan , Bowden Richard
Published: April 2022

Causal reasoning is a crucial part of science and human intelligence. In order to discover causal relationships from data, we need structure discovery methods. We provide a review of background theory and a survey of methods for structure discovery. We primarily focus on modern, continuous optimization methods, and provide reference to further resources such as benchmark datasets and software packages. Finally, we discuss the assumptive leap required to take us from structure to causality.
Role of hyperpnea in the relaxant effect of inspired CO2on methacholine-induced bronchoconstriction
Authors: Torchio Roberto , Gobbi Alessandro , Gulotta Carlo , Antonelli Andrea , Dellacà Raffaele , Pellegrino Giulia Michela , Pellegrino Riccardo , Brusasco Vito
Published: March 2022

The main results of the present study are as follows: 1) breathing gas mixtures containing 2% or 4% CO2significantly attenuated bronchoconstrictor responses to methacholine, not differently in healthy subjects and subjects with mild asthma, and 2) the causal inhibitory effect of CO2was significantly mediated via an indirect effect of the increment of V̇e in response to intrapulmonary hypercapnia.
The Application of REV-LBM Double Mesh Local Refinement Algorithm in Porous Media Flow Simulation
Authors: Niu Zhongkun , Yang Zhengming , Luo Yutian , Zhang Yapu , Xia Debin , Zheng Taiyi , Zhao Xinli
Published: March 2022

REV-scale LBM (representative elementary volume scale lattice Boltzmann method) provides a possible way for the unified microscopic simulation of transscale seepage combined with pore-scale LBM. However, shown by numerical results, when simulated fluid flows in tight porous media with discrete microfractures or dispersed dissolution pore, the nonphysical oscillation phenomenon will occur in the region of relatively greater velocity gradient, due to the insufficient computational node caused by computational capability constraints. And for that reason, the increase in simulation scale under certain computational capability will be restricted. In order to solve this problem, this paper extends the application of the original LBM local refinement algorithm into REV-LBM and corrects the original REV-LBM velocity processing method, such that REV-scale LBM has a more reasonable local refinement algorithm. Through conventional computation example, this paper proves that the local refinement algorithm can maintain well computational accuracy while at least double the time efficiency and could save more than 30% of CPU time in the practical application. This algorithm has a great potential of application in simulating flows in larger size porous media with complex micro-nano structures and can provide a new idea to transscale simulation in porous media.
Research on the Influence of Emission Trading System on Enterprises' Green Technology Innovation
Authors: Luo Si , He Guohua
Published: March 2022

This paper uses the data of China's A‐share listed companies in Shanghai and Shenzhen stock markets from 2003 to 2014 and takes the pilot emission trading policy in 2007 for a quasinatural experiment to explore the role of the pilot emission trading policy in promoting enterprises' green technology innovation. The empirical research shows a Porter effect in the emission trading system in China. Specifically, first, the emission trading policy can significantly promote enterprises' green technology innovation in pilot areas. In addition, the incentive effect of emission trading policy on green technology innovation is significantly different due to the types of green patents. Second, the incentive effect of emission trading policy on enterprises' green technology innovation is different due to the nature and scale of enterprises. The incentive effect is greater in state‐owned enterprises than in non‐state‐owned enterprises, and it is greater in large‐scale enterprises than in small‐scale enterprises. Finally, the incentive effect of emission trading policy on enterprises' green technology innovation has heterogeneity of regions. It has the greatest incentive effect in eastern region, followed by western region and then central region.
Design of Hybrid Posicast Control for Super-Lift Luo Converter
Authors: Ramash Kumar K. , Jayaudhaya J. , Tamilselvan V. , Balakumar S.
Published: March 2022

This article investigates a new Hybrid Posicast Controller (HPC) for Fundamental Positive Output Super-Lift Luo Converter (FPOSLLC) in Continuous Conduction Mode (CCM). It is a feedforward controller that decreases the flippantly damped plant overshoot in the step result. However, because of fluctuations in the natural frequency, the traditional controller technique is sensitive. In this article, a novel HPC is built to alleviate the FPOSLLC’s undesired sensitivity and load voltage control. HPC has a feedback loop and a posicast structure. The main design function of posicast is its independent computational time delay. By creating a MATLAB/Simulink model, the FPOSLLC implementation with HPC may be verified under various operating conditions. In comparison to standard PID control, the results of the new HPC have produced little noise in the control signal.
Ruptured Tubo-Ovarian Pregnancy Presenting at 15 Weeks’ Gestation
Authors: Keller Daniel , Morris Matthew , McLaughlin Ryan , Evans David , Joyce Michael
Published: March 2022

Ectopic pregnancies develop outside of the uterus and lead to significant maternal morbidity and mortality if they rupture. As the primary diagnostic tool for these presentations, ultrasound has a growing list of signs and measurements that help distinguish between intrauterine and ectopic pregnancies, the latter being exceedingly rare once a woman has entered her second trimester. The present case reports a series of Emergency Department visits by a woman carrying a second-trimester pregnancy—deemed intrauterine on transabdominal ultrasound due to gestational age and location—who developed massive hemoperitoneum and was diagnosed with a ruptured 15-week tubo-ovarian pregnancy on laparotomy. The discussion describes the sonographic findings that could have helped make the proper diagnosis, most notably mantle distance—the thickness of the myometrium surrounding the gestational sac—which would have correctly identified this pregnancy as ectopic.
Elastic Behavior of Uncemented Hip Prosthesis Made of Composite with Material Property Grading
Authors: Asiri Saeed
Published: March 2022

Functional graded materials (FGMs) are widely used for hip plant component materials because of their specific properties in a specific design to meet the requirements of the hip joint system. Stem is manufactured with the concept of making new FGM using three different composition of Ti, CrCo, and HA. This has led to the development of a suitable design for functional femoral parts that can be used for a long time. The new FGM design has helped to reduce the protection of the stress and the associated stress that exists on the interface. After changing in composition of FGM, the natural frequency and deformation response exhibited by our model were quite satisfactory. The deflection comes out to be 0.33 mm at the frequency of 15 Hz. The equivalent von Mises stress is found to be 19.5 MPa. These values are closely matching with previous studied. Fatigue study was carried based on “Goodman” theory. This gave promising results. The safety factor found is more than one, which indicates that the part is safe under design. The anticipated life of stem model is 0.3284 × 105 cycle.
Fusion‐Learning‐Based Optimization: A Modified Metaheuristic Method for Lightweight High‐Performance Concrete Design
Authors: Rahchamani Ghodrat , Movahedifar Seyed Mojtaba , Honarbakhsh Amin
Published: March 2022

In order to build high‐quality concrete, it is imperative to know the raw materials in advance. It is possible to accurately predict the quality of concrete and the amount of raw materials used using machine learning‐enhanced methods. An automated process based on machine learning strategies is proposed in this paper for predicting the compressive strength of concrete. Fusion‐learning‐based optimization is used in the proposed approach to generate a strong learner by pooling support vector regression models. The SVR technique proposes an optimization method for finding the kernel radial basis function (RBF) parameters based on improving the innovative gunner algorithm (AIG). As a result of AIG's diverse solutions, local optima are effectively avoided. Therefore, the novelty of our research is that, in solving the uncertainty of predicted outputs based on integrated models, we use fusion‐learning‐based optimization to improve regression discrimination. We also collected a standard dataset to analyze the proposed algorithm, and subsequently, the dataset was designed from concrete laboratory tests on 244 samples, seven features, and three outputs. Different regression intensities are determined by correlation analysis of responses. Regression fusion is sufficiently accurate to estimate the number of desired outcomes examined based on the appropriate input data sample. The best quality concrete can be achieved with an error rate of less than 5%.
High Precision Calibration Algorithm for Binocular Stereo Vision Camera using Deep Reinforcement Learning
Authors: Ren Jie , Guan Fuyu , Wang Tingting , Qian Baoshan , Luo Chunlin , Cai Guoliang , Kan Ce , Li Xiaofeng
Published: March 2022

Camera calibration is the most important aspect of computer vision research. To address the issue of insufficient precision, therefore, a high precision calibration algorithm for binocular stereo vision camera using deep reinforcement learning is proposed. Firstly, a binocular stereo camera model is established. Camera calibration is mainly divided into internal and external parameter calibration. Secondly, the internal parameter calibration is completed by solving the antihidden point of the camera light center and the camera distortion value of the camera plane. The deep learning fitting value function is used based on the internal parameters. The target network is established to adjust the parameters of the value function, and the convergence of the value function is calculated to optimize reinforcement learning. The deep reinforcement learning fitting structure is built, the camera data is entered, and the external parameter calibration is finished by continuous updating and convergence. Finally, the high precision calibration of the binocular stereo vision camera is completed. The results show that the calibration error of the proposed algorithm under different sizes of checkerboard calibration board test is only 0.36% and 0.35%, respectively, the calibration accuracy is high, the value function converges quickly, and the parameter calculation accuracy is high, the overall time consumption of the proposed algorithm is short, and the calibration results have strong stability.
A Semisupervised Majority Weighted Vote Antiphishing Attacks IDS for the Education Industry
Authors: Yin Xiaona , Zheng Xingxing
Published: March 2022

Although the digital transformation is advancing, a significant portion of the population in all countries of the world is not familiar with the technological means that allow malicious users to deceive them and gain great financial benefits using phishing techniques. Phishing is an act of deception of Internet users. The perpetrator pretends to be a credible entity, abusing the lack of protection provided by electronic tools and the ignorance of the victim (user) to illegally obtain personal information, such as bank account codes and sensitive private data. One of the most common targets for digital phishing attacks is the education sector, as distance learning became necessary for billions of students worldwide during the pandemic. Many educational institutions were forced to transition to the digital environment with minimal or no preparation. This paper presents a semisupervised majority-weighted vote system for detecting phishing attacks in a unique case study for the education sector. A realistic majority weighted vote scheme is used to optimize learning ability in selecting the most appropriate classifier, which proves to be exceptionally reliable in complex decision-making environments. In particular, the voting naive Bayes positive algorithm is presented, which offers an innovative approach to the probabilistic part-supervised learning process, which accurately predicts the class of test snapshots using prerated training snapshots only from the positive class examples.
A Novel Approach of Protocol Behavior Identification for TDMA-Based Frequency Hopping Communication
Authors: Zhang Junyi , Tan Mengtian , Shi Fei , Yang Yong , Yang Zhutian
Published: March 2022

Frequency hopping (FH) communication technology is adopted widely in military and civil fields, due to its excellent communication characteristics such as antisearch and anti-interference. Efficient reconnaissance methods of FH communication are becoming a research hotspot. In this paper, a novel reconnaissance approach for FH communication emitters is proposed, by using the TMDA protocol behavior identification. Based on the signalling used in the TDMA protocol, the protocol behavior for FH communication can be specified. These behaviors are usually used for the process controlling of FH communication and network maintenance. Therefore, recognition of FH communication protocol behaviors can be used for emitter intention reasoning indirectly. Simulation results show that the proposed approach is effective and potential for application.
Network Accounting Model in Intelligent Internet of Things Network Computing and Multimedia Environment
Authors: Chen Shu
Published: April 2022

This article focuses on the network charging model in the intelligent Internet of Things network computing and multimedia environment. The current human world has entered a century of economic development. The greatest feature of this century is knowledge economy. With the development of society, the importance of accounting has gradually increased. If accounting is better developed, education should be the basis. How to make students more systematically grasp the basic knowledge of accounting and the corresponding accounting methods is the focus of accounting education nowadays. In this paper, a new teaching model of network accounting under multimedia environment is proposed. On the basis of traditional teaching, multimedia technology is introduced. Through network technology, the platform of network accounting education under multimedia environment is designed to better realize the teaching of accounting course. Firstly, according to the specific teaching needs of students, the relevant functions are designed; secondly, B/S architecture mode is used in combination with database development technology to achieve the teaching system; finally, according to the user survey, the rationality and practicability of the system are analyzed. This article starts with the research status of science and technology and accounting informatization, analyzes the impact of the development of IoT technology on accounting theory and accounting work, and then discusses the promotion of these technologies to accounting informatization. The model proposed in this paper realizes the informatization of accounting and is bound to promote the informatization of accounting and realize the third leap of accounting informatization.
Prediction of News Popularity Based on Deep Neural Network
Authors: Cai Yan , Zheng Zhiqiang
Published: March 2022

Due to the timeliness and short life cycle of news, the postrelease prediction is limited, and the prerelease prediction also faces huge challenges due to the diversity and difficulty of defining influencing factors. This paper uses the foreclosure. This paper proposes a news popularity prediction method based on GRU deep neural network. Firstly, a web crawler was designed to obtain news data of different types and structures from 10 information security portal websites in China. After data preprocessing, the Word2Vec method was used to extract features, extract key news sentences and construct a subset of content features. Establish a GRU neural network regression prediction model to predict hot news on the Internet. The experimental results show that, compared with the traditional processing method, the model can process the multi-source rough data set in this paper and greatly reduce the prediction error. At the same time, because the threshold recurrent unit structure used in this paper is simpler than the long-short-term memory network structure, it can shorten the prediction time and improve the computing performance.
The Two-Hit Hypothesis Meets Epigenetics
Authors: Issa Jean-Pierre
Published: April 2022

The landmark paper by Kane and colleagues was the first report of DNA methylation in the promoter of the human MLH1 gene in sporadic colon cancers with mismatch repair (MMR) deficiency. In both cell lines and primary tumors, promoter methylation was associated with loss of MLH1 protein expression and with a lack of mutations in the MLH1 coding region. Together with subsequent papers that showed that this methylation was directly responsible for loss of MLH1 expression and MMR deficiency, the observation expanded the two-hit hypothesis of tumor suppressor gene loss in cancer to include both genetic and epigenetic mechanisms of gene inactivation. More broadly, the paper contributed to normalization of the hypothesis of an epigenetic basis for cancer development.

See related article by Kane and colleagues, Cancer Res 1997;57:808–11
Cancer Modeling as Learning Experience
Authors: Etzioni Ruth , Lange Jane
Published: April 2022

Cancer modeling has become an accepted method for generating evidence about comparative effectiveness and cost-effectiveness of candidate cancer control policies across the continuum of care. Models of early detection policies require inputs concerning disease natural history and screening test performance, which are often subject to considerable uncertainty. Model validation against an external data source can increase confidence in the reliability of assumed or calibrated inputs. When a model fails to validate, this presents an opportunity to revise these inputs, thereby learning new information about disease natural history or diagnostic performance that could both enhance the model results and inform real-world practices. We discuss the conditions necessary for validly drawing conclusions about specific inputs such as diagnostic performance from model validation studies. Doing so requires being able to faithfully replicate the validation study in terms of its design and implementation and being alert to the problem of non-identifiability, which could lead to explanations for failure to validate other than those identified.

See related article by Rutter et al., p. 775
The Role of the TP53 Pathway in Predicting Response to Neoadjuvant Therapy in Esophageal Adenocarcinoma
Authors: Sihag Smita , Nussenzweig Samuel C. , Walch Henry S. , Hsu Meier , Tan Kay See , De La Torre Sergio , Janjigian Yelena Y. , Maron Steven B. , Ku Geoffrey Y. , Tang Laura H. , Shah Pari M. , Wu Abraham , Jones David R. , Solit David B. , Schultz Nikolaus , Ganesh Karuna , Berger Michael F. , Molena Daniela
Published: April 2022

Purpose:

In patients with locally advanced esophageal adenocarcinoma, response to neoadjuvant therapy strongly predicts survival, but robust molecular predictors of response have been lacking. We therefore sought to discover meaningful predictors of response in these patients.

Experimental Design:

We retrospectively identified all patients with adenocarcinoma of the lower esophagus or gastroesophageal junction who (i) were treated with multimodality therapy with curative intent at our institution from 2014 through 2020 and (ii) underwent prospective sequencing by Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets. Clinicopathologic and genomic data were analyzed to identify potential genomic features, somatic alterations, and oncogenic pathways associated with treatment response.

Results:

In total, 237 patients were included. MDM2 amplification was independently associated with poor response to neoadjuvant therapy [OR, 0.10 (95% confidence interval, 0.01–0.55); P = 0.032], when accounting for significant clinicopathologic variables, including clinical stage, tumor grade, and chemotherapy regimen. Moreover, TP53 pathway alterations, grouped according to inferred severity of TP53 dysfunction, were significantly associated with response to neoadjuvant therapy (P = 0.004, q = 0.07). Patients with MDM2 amplifications or truncating biallelic TP53 mutations had similar outcomes in terms of poor responses to neoadjuvant therapy and, consequently, shorter progression-free survival, compared with patients with TP53 pathway wild-type tumors. Thus, worsening TP53 dysfunction was directly correlated with worse outcomes.

Conclusions:

MDM2 amplification and TP53 status are associated with response to therapy in patients with esophageal adenocarcinoma. Given the dearth of actionable targets in esophageal adenocarcinoma, MDM2 inhibition, in combination with cytotoxic chemotherapy, may represent an important therapeutic strategy to overcome treatment resistance and improve outcomes in these patients.
PARPs: All for One and One for All? Enhancing Diversity in Clinical Trials
Authors: Nicum Shibani , Blagden Sarah P.
Published: March 2022

PARP inhibitors have revolutionized the management of ovarian cancer and are being licensed for other cancer indications. The clinical trials prompting licensing decisions in ovarian cancer were dominated by White participants, or participant ethnicity was not documented. To compensate for this, replicative studies like L-MOCA can be run in specific ethnic groups. In the future, strategies such as mandatory collection and publication of race and ethnicity data are essential alongside concerted efforts to widen the inclusivity of trial recruitment.

See related article by Gao et al., p. 2278
Entinostat Decreases Immune Suppression to Promote Antitumor Responses in a HER2+ Breast Tumor Microenvironment
Authors: Sidiropoulos Dimitrios N. , Rafie Christine I. , Jang Julie K. , Castanon Sofi , Baugh Aaron G. , Gonzalez Edgar , Christmas Brian J. , Narumi Valerie H. , Davis-Marcisak Emily F. , Sharma Gaurav , Bigelow Emma , Vaghasia Ajay , Gupta Anuj , Skaist Alyza , Considine Michael , Wheelan Sarah J. , Ganesan Sathish Kumar , Yu Min , Yegnasubramanian Srinivasan , Stearns Vered , Connolly Roisin M. , Gaykalova Daria A. , Kagohara Luciane T. , Jaffee Elizabeth M. , Fertig Elana J. , Roussos Torres Evanthia T.
Published: March 2022

Therapeutic combinations to alter immunosuppressive, solid tumor microenvironments (TME), such as in breast cancer, are essential to improve responses to immune checkpoint inhibitors (ICI). Entinostat, an oral histone deacetylase inhibitor, has been shown to improve responses to ICIs in various tumor models with immunosuppressive TMEs. The precise and comprehensive alterations to the TME induced by entinostat remain unknown. Here, we employed single-cell RNA sequencing on HER2-overexpressing breast tumors from mice treated with entinostat and ICIs to fully characterize changes across multiple cell types within the TME. This analysis demonstrates that treatment with entinostat induced a shift from a protumor to an antitumor TME signature, characterized predominantly by changes in myeloid cells. We confirmed myeloid-derived suppressor cells (MDSC) within entinostat-treated tumors associated with a less suppressive granulocytic (G)-MDSC phenotype and exhibited altered suppressive signaling that involved the NFκB and STAT3 pathways. In addition to MDSCs, tumor-associated macrophages were epigenetically reprogrammed from a protumor M2-like phenotype toward an antitumor M1-like phenotype, which may be contributing to a more sensitized TME. Overall, our in-depth analysis suggests that entinostat-induced changes on multiple myeloid cell types reduce immunosuppression and increase antitumor responses, which, in turn, improve sensitivity to ICIs. Sensitization of the TME by entinostat could ultimately broaden the population of patients with breast cancer who could benefit from ICIs.
Serum Vitamin D Level and Erectile Dysfunction in Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis
Authors: Liu Guodong , Wu Xu , Zhang Yuyang , Zhang Wei , Jiang Hui , Dai Yutian , Zhang Xiansheng
Published: April 2022

Introduction: A few studies involved the relationship between vitamin D and diabetes mellitus (DM) with erectile dysfunction (ED), and no meta-analysis was conducted to pool these data. The main purpose of our study was to examine the changes in serum vitamin D levels in patients with DM combined with ED. Methods: An extensive search was performed, including the following words: “erectile dysfunction,” “diabetes,” and “vitamin D.” Databases, including Cochrane Library, PubMed, and Web of Science, were retrieved to identify studies published up to September 30, 2021. Four studies were eligible for our meta-analysis. Results: The weighted mean difference and their corresponding 95% confidence intervals were calculated to the data we selected. The results showed that the level of vitamin D in DM with ED was significantly lower (12.5 nmol/mL) than patients with diabetes alone (p = 0.002). Conclusion: Our novel meta-analysis suggests that vitamin D may be a risk factor for DM with ED, which can provide a new idea for the treatment and prevention of DM with ED.
Mechanical Thrombectomy for Mild Acute Ischemic Stroke with Large-Vessel Occlusion: A Systematic Review and Meta-Analysis
Authors: Hou Xiaowen , Feng Xu , Wang Huixin , Li Qian
Published: April 2022

Background: The functional prognosis of mechanical thrombectomy (MT) for mild acute ischemic stroke (AIS) with large-vessel occlusion (LVO) is controversial. To explore a more precise estimation, a meta-analysis was conducted. Methods: The relevant studies were identified by searching PubMed, Embase, Web of Science, and Cochrane Collaboration Database until October 2021. The pooled analysis, subgroup analysis, sensitivity analysis, and publication bias examination were all conducted. The meta-analysis was performed by using Stata 12.0. Results: Eleven studies were included with a total of 1,929 subjects, including 794 patients receiving MT and 1,135 patients receiving medical management. The pooled analysis showed that MT might be not associated with functional prognosis among mild AIS with LVO (excellent functional prognosis: risk ratio (RR) = 1.07, 95% confidence interval (CI) = 0.94–1.21, p = 0.294; favorable functional prognosis: RR = 1.01, 95% CI = 0.96–1.06, p = 0.823). The statistical stability and reliability were demonstrated by the sensitivity analysis and publication bias outcomes. Conclusion: Our meta-analysis suggests that MT may be not associated with functional prognosis of mild AIS with LVO.
Outcome Measures of New Technologies in Uveal Melanoma: Review from the European Vision Institute Special Interest Focus Group Meeting
Authors: Beenakker Jan-Willem M. , Brouwer Niels J. , Chau Cindy , Coupland Sarah E. , Fiorentzis Miltiadis , Heimann Heinrich , Heufelder Jens , Joussen Antonia M. , Kiilgaard Jens F. , Kivelä Tero T. , Piperno-Neumann Sophie , Rantala Elina S. , Romanowska-Dixon Bozena , Shields Carol L. , Willerding Gregor D. , Wheeler-Schilling Thomas , Scholl Hendrik P.N. , Jager Martine J. , Damato Bertil E. ,   in collaboration with the European Ocular Oncology Group and the International Society of Ocular Oncology
Published: March 2022

Uveal melanoma (UM) is the most common primary intraocular tumor in adults. New diagnostic procedures and basic science discoveries continue to change our patient management paradigms. A recent meeting of the European Vision Institute (EVI) special interest focus group was held on “Outcome Measures of New Technologies in Uveal Melanoma,” addressing the latest advances in UM, starting with genetic developments, then moving on to imaging and treatment of the primary tumor, as well as to investigating the most recent developments in treating metastases, and eventually taking care of the patient’s well-being. This review highlights the meeting’s presentations in the context of the published literature.
Effect of Type and Concentration of Liquid Organic Fertilizer on Growth and Yield of Eggplant (Solanum melongena L.)
Authors: Andarema Prismaya , Pikir Juli Santoso , Nugrahani Pangesti
Published: March 2022

Eggplant (Solanum melongena L) is a plant that is well known in the wider community. The demand for eggplant is currently increasing. In 2017-2018, eggplant production increased, although it did not meet market demand. One of the causes of eggplant yields not sufficient to market demands is not appropiate of cultivation technique. One of the efforts that can be made to increase the productivity of eggplant is the use of liquid organic fertilizer and the right concentration. The purpose of the research was to find out the effect of liquid organic fertilizer and concentration on the growth and yield of eggplant. The research was conducted on the field of Kenanten village, Puri district, Mojokerto in March 2020 – June 2020. The research is arranged using a Completely Randomized Factorial Design with two factors, firstly the type of liquid organic fertilizer (P) consisting of P0 = Control; P1 = Commercial Liquid Organic Fertilizer; P2 = Kelanalagi Liquid Organic Fertilizer; P3 = Compost tea and concentration (K) consisting of K1 = 4 ml/l water; K2 = 6 ml/l water; K3 = 8 ml/l water. The result showed that there was no interaction between the type of liquid organic fertilizer and the concentration of all observation parameters
Effect of Gamma Radiation on Genetic Diversity Shallots (Allium ascalonicum L.) M4 Bauji Variety For Varieties Improvement
Authors: Anpama Irfan Satria , Moeljani Ida Retno , Santoso Juli
Published: March 2022

Shallots (Allium ascalonicum L.) is a horticultural commodity that has high economic value in Indonesia. Efforts to increase the productivity and quality of shallots will continue to be carried out through plant breeding programs. One of the efforts is through mutation breeding with the aim of improving the Bauji variety so that it has high yields, good quality and is resistant to major pests and diseases. One of the factors that play a role in increasing shallot production is superior varieties. For the assembly of superior varieties, it is necessary to expand genetic diversity, one of which can be done by radiation mutation. With radiation mutations, new genetic diversity is created so that it provides more opportunities for selection. This research was carried out using the single plant method and using the T-test, with the yield of shallots with radiation doses without radiation doses or 0 Gy, 1 Gy, 2 Gy, 3 Gy, 4 Gy, 5 Gy, 6 Gy. Observation parameters included plant length, number of leaves, number of tillers, tuber diameter, and tuber weight. This study aims to obtain the value of genetic diversity and heritability on the agronomic characters of shallots of bauji variety with 60Co gamma-ray radiation treatment. Gamma-ray irradiation of 60Co affects the growth and yield characteristics of the fourth generation Bauji variety of shallots. Irradiation treatment with a dose of 4 Gy (B4) had better results on the parameters of plant length, number of leaves, tuber diameter, and number of tillers than control plants or without irradiation.
Typhonium flagelliforme as a Cancer Prevention Plant-Based on In Vitro, In Vivo and Bioinformatics Research Method: A Systematic Literature Review
Authors: Siswanto Teddy , Shofiati Ratna , Afifah Ismi Hasnatul
Published: March 2022

The development of cancer-preventing plant research develops along with the development of science and information technology. The purpose of this study was to collect research related to the Typhonium flagelliforme plant so that it can be used to add to the research literature that synergizes with multi-scientific disciplines. This research method uses a Study Literature Review from the journals Proquest, ScienceDirect, NCBI, and other journals since 2012 with the keywords Typhonium flagelliforme or Rodent Tuber or Keladi-tikus to identify the type of research In Vitro, In Vivo and Bioinformatics and search by journal publisher category. The results of the Systematic Literature Review research obtained a total of 194 papers and after being traced from the abstract, then 51 papers were selected consisting of 42 In Vitro research papers, 1 In Vivo paper and 6 Bioinformatics papers, and a combination of In Vitro and In Vivo papers totaling 2 papers. Meanwhile, based on scientific fields the most are from Natural Science, Medicine, Bioinformatics, and Pharmacy. Based on the results of research identification, further research is proposed for Typhonium flagelliforme as a plant that has the potential to prevent cancer, can involve researchers from different scientific families so that it is suitable for multi-disciplinary research by synergizing the three methods of In Vitro, In Vivo and Bioinformatics through the involvement of researchers from Biology, Chemistry, Medicine, Pharmacy and Informatics to get further research depth.
Analysis of the Consumption Patterns of Health Supplements in Health Care Worker in the Era of the COVID-19 Pandemic
Authors: Sari Wening
Published: March 2022

Health workers are at the forefront of handling COVID-19, so they have a high risk of contracting the virus. There have been 1.967 deaths in Indonesian health workers due to COVID-19, the highest number in Asia. While on the job, health workers must maintain a healthy immune system and use personal protective equipment. It is believed that taking vitamins, minerals, and herbs can help boost endurance. This study aims to examine the pattern of health supplement consumed in health workers during the COVID-19 pandemic. This research was conducted with a Cross-Sectional approach carried out on 100 health workers by providing questionnaires related to the types and effects of health supplements consumed by health workers in the era of the COVID-19 pandemic. From all respondents who took supplements, 75.2% consumed every day during the pandemic, whereas only 40.6% did before the pandemic. Prior to the pandemic, it was discovered that 33% of respondents took more than two types of health supplements. However, during the pandemic, it was revealed that 65% took more than two types of health supplements. There was an increase in respondents who took supplements believed to improve the immune system (80.2% vs 50.5%). Consumption of herbs and honey increased during the pandemic (19.8% vs 40.6%), with honey the most consumed. During the pandemic, health workers take more health supplements and a more comprehensive range of supplements.
Integrated Marketing Communication Strategy in Creating Brand Equity of Sultan Agung Islamic Hospital as Sharia Hospital
Authors: Ikrima Nabila
Published: March 2022

Brand equity needs to be built by the organization so that the produced products whether goods or services can be easily recognized and remembered by the consumers. Sultan Agung Islamic Hospital as a health service provider also needs to build brand equity through Integrated Marketing Communication Strategy so that the predicate as the Sharia Hospital will be better known by consumers. The objective of this research is to know the strategy applied by Sultan Agung Islamic Hospital in creating brand equity as the sharia hospital. This research is qualitative descriptive research that aims to explain the implementation of marketing communication strategy in Sultan Agung Islamic Hospital using the purposive sampling technique. The research informant consisted of Hospital representatives consisting of four people, they are The Director of Sultan Agung Islamic Hospital, the Public Relations and Marketing Manager, Public Relations Staff, and Marketing Staff. The data was obtained through in-depth interviews and observation. The result shows that Sultan Agung Islamic Hospital has implemented an integrated marketing communication strategy through advertising activity, public relations, sponsorship, sales promotion, and on-site communication. All Integrated Marketing Communication activities and programs are conducted to strengthen the predicate of Sultan Agung Islamic Hospital as a sharia hospital.
Dove avrebbe messo Dante Ser Ciappelletto?
Authors: Aguiar Leonardo Ferreira , Casini Maria Cecilia
Published: April 2022

Il presente testo propone un po' audacemente una lettura di una possibile assoluzione, in termini danteschi, di un famoso personaggio 'cattivo' del Decameron, opera di Giovanni Boccaccio, ovvero, Ser Ciappelletto da Prato, protagonista della prima Novella della Prima Giornata. A partire dai propri testi e dalla struttura morale conferita da Dante Alighieri al suo universo oltremondano descritto nella Divina Commedia, abbiamo usato l'immaginazione per attribuire un luogo possibile al malvagio Ciappelletto. Secondo la nostra interpretazione, esisterebbero per questo due possibilità: la Giudecca, il luogo più buio dell'Inferno; o l'antipurgatorio, luogo di espiazione dei peccati da parte di chi attende ancora una possibilità di salvezza, insieme a Belacqua nel Canto IV della cantica del Purgatorio. Nonostante si tratti di una speculazione, il testo è stato sviluppato alla luce delle ultime teorie critiche sui due grandi autori italiani, in modo da porsi come un contributo al dibattito letterario in corso per il settecentenario delle commemorazioni dantesche del 2021.
Randomized Trial of Chocolate Touch Compared With Lutonix Drug-Coated Balloon in Femoropopliteal Lesions (Chocolate Touch Study)
Authors: Shishehbor Mehdi H. , Zeller Thomas , Werner Martin , Brodmann Marianne , Parise Helen , Holden Andrew , Lichtenberg Michael , Parikh Sahil A. , Kashyap Vikram S. , Pietras Cody , Tirziu Daniela , Ardakani Shiva , Beschorner Ulrich , Krishnan Prakash , Niazi Khusrow A. , Wali Andreas U. , Lansky Alexandra J.
Published: April 2022

Background:

First-generation drug-coated balloons (DCBs) have significantly reduced the rate of restenosis compared with balloon angioplasty alone; however, high rates of bailout stenting and dissections persist. The Chocolate Touch DCB is a nitinol constrained balloon designed to reduce acute vessel trauma and inhibit neointima formation and restenosis.

Methods:

Patients with claudication or ischemic rest pain (Rutherford class 2–4) and superficial femoral or popliteal disease (≥70% stenosis) were randomized 1:1 to Chocolate Touch or Lutonix DCB at 34 sites in the United States, Europe, and New Zealand. The primary efficacy end point was DCB success, defined as primary patency at 12 months (peak systolic velocity ratio <2.4 by duplex ultrasound without clinically driven target lesion revascularization in the absence of clinically driven bailout stenting). The primary safety end point was freedom from major adverse events at 12 months, a composite of target limb-related death, major amputation, or reintervention. Both primary end points were tested for noninferiority, and if met, sequential superiority testing for efficacy followed by safety was prespecified. An independent clinical events committee, and angiographic and duplex ultrasound core laboratories blinded to treatment allocation reviewed all end points.

Results:

A total of 313 patients were randomized to Chocolate Touch (n=152) versus Lutonix DCB (n=161). Follow-up at 1 year was available in 94% of patients. The mean age was 69.4±9.5 years, the average lesion length was 78.1±46.9 mm, and 46.2% had moderate-to-severe calcification. The primary efficacy rates of DCB success at 12 months was 78.8% (108/137) with Chocolate Touch and 67.7% (88/130) with Lutonix DCB (difference, 11.1% [95% CI, 0.6–21.7]), meeting noninferiority (
P
noninferiority
<0.0001) and sequential superiority (
P
superiority
=0.04). The primary safety event rate was 88.9% (128/144) with Chocolate Touch and 84.6% (126/149) with Lutonix DCB (
P
noninferiority
<0.001;
P
superiority
=0.27).

Conclusions:

In this prospective, multicenter, randomized trial, the second-generation Chocolate Touch DCB met both noninferiority end points for efficacy and safety and was more effective than Lutonix DCB at 12 months for the treatment of femoropopliteal disease.

Registration:

URL:
https://www.clinicaltrials.gov
; Unique identifier: NCT02924857.