bluuebunny/crossref_metadata_2025 huggingface dataset:
Deep Fuzzy Clustering and Deep Residual Network for Prediction of Web Pages from Weblog Data with Fractional Order Based Ranking
Authors: Om Prakash P. G. , Suresh Kumar K. , Maram Balajee , Priya C.
Published: July 2023

Web page recommendation system has attracted more attention in recent decades. The web page recommendation has various characteristics than the classical recommenders. It is the process of predicting the request of the next web page that users are significantly interested while searching the web. It helps the users to find relevant pages in the field of web mining. In particular, web user may spend more time to identify expected information. To understand behavior of users and to visit the page based on their interest at a specific time, an effective web page recommendation method is developed by developed Multi-Verse Sailfish Optimization (MVSFO)-based Deep Residual network. Accordingly, proposed MVSFO is derived by the integration of Multi-Verse Optimizer (MVO) and Sailfish Optimizer (SFO), respectively. Here, the process of recommendation is carried out using weblog data and the web page image. The sequential patterns are acquired from weblog data, and the patterns are grouped with Deep fuzzy clustering based on cosine similarity. The matching process among test pattern and sequential patterns are made using Canberra distance. Here, the recommended web pages obtained from the weblog data and pages obtained from web pages image using the Deep Residual network are enable to generate the output using fractional order-based ranking. The developed scheme attained more effectiveness by the measures, such as F-measure, precision, and recall as 85.30%, 86.59%, and 86.04%, respectively for MSNBC dataset.
Automatic Idiom Identification Model for Amharic Language
Authors: Abebe Fenta Anduamlak , Gebeyehu Seffi
Published: July 2023

Idiomatic expressions are important natural parts of all languages and prominent parts of our daily speech. Idioms cannot be interpreted from the words that they are formed with directly and people may not understand the meaning. From past literature, it was noted that idiom affects Natural Language Processing research like machine translation, semantic analysis, and sentiment analysis. Other languages like English, Chinese, and Indian idioms are recognized through different methods in different research. As there is no standard method and research to identify Amharic idioms, this study is aimed to build a model to identify idioms for the Amharic language using a supervised machine learning approach. The study used 800 labeled expressions for training and 200 expressions for testing from Amharic idiom books “የአማ ረኛ ፈሊጦች” and different Amharic documents. To measure the performance of the model, we used accuracy, precision, recall, and F-score. Finally, a 97.5% accuracy result was achieved from the testing dataset showing a promising result. The study contributes to the information systems discourse about improving the awareness and knowledge of researchers on Amharic idioms.
Privacy-Preserving Three-Factor Authentication Protocol for Wireless Sensor Networks Deployed in Agricultural Field
Authors: Fatima Mah Noor , Obaidat Mohammad S. , Mahmood Khalid , Shamshad Salman , Saleem Muhammad Asad , Ayub Muhammad Faizan
Published: July 2023

The agriculture is the backbone of economic system, and it plays an essential part in the survival of a nation’s prosperity. In addition to providing raw materials and food, it also offers numerous employment opportunities. Consequently, agriculture necessitates modern technology to increase productivity. In these circumstances, Wireless Sensor Networks (WSNs) are used to detect climatic parameters like light, humidity, carbon dioxide, acidity, soil moisture, and temperature in an agricultural field. However, the research that is being done at the moment is unable to circumvent the issue that safety and effectiveness cannot coexist. Several studies employ time-consuming cryptographic security structures, whereas the majority of lightweight systems are designed without reviewing certain security aspects like resistance to ephemeral secret leakage (ESL) attacks, perfect forward secrecy, and so on. According to our opinion, this issue may be overcome through the use of lightweight cryptographic primitives, paying particular attention to protocol weaknesses, and keeping in mind the ever-changing security needs of individuals. We present an extensive lightweight three-factor authentication protocol with diverse security criteria, along with the adaptive privacy preservation, that is suited for user-friendly situation in the WSN enviroment. This is accomplished by removing all extraneous cryptographic structures. It has been illustrated that proposed protocol is much better in terms of the privacy and security aspects via the usage of security aspects, proof of the real-or-random (ROR) model, protocols of internet security, and applications that are subjected to experimental validation utilizing automated validation. and comparison with other protocols’ security aspects. The performance analysis shows how superior our proposed protocol is to other competing protocols in terms of communication and computational overheads, with respective efficiencies of 53% and 39%. Moreover, using the ROR model reveals that this study has benefits in performance compared with other competing research.
What Constitutes the Deployment and Runtime Configuration System? An Empirical Study on OpenStack Projects
Authors: Bessghaier Narjes , Sayagh Mohammed , Ouni Ali , Mkaouer Mohamed Wiem
Published: July 2023

Modern software systems are designed to be deployed in different configured environments (e.g., permissions, virtual resources, network connections) and adapted at runtime to different situations (e.g., memory limits, enabling/disabling features, database credentials). Such a configuration during the deployment and runtime of a software system is implemented via a set of configuration files, which together constitute what we refer to as a “configuration system.” Recent research efforts investigated the evolution and maintenance of configuration files. However, they merely focused on a limited part of the configuration system (e.g., specific infrastructure configuration files or Dockerfiles), and their results do not generalize to the whole configuration system. To cope with such a limitation, we aim to better capture and understand what files constitute a configuration system. To do so, we leverage an open card sort technique to qualitatively study 1,756 configuration files from OpenStack, a large and widely studied open source software ecosystem. Our investigation reveals the existence of nine types of configuration files, which cover the creation of the infrastructure on top of which OpenStack will be deployed, along with other types of configuration files used to customize OpenStack after its deployment. These configuration files are interconnected while being used at different deployment stages. For instance, we observe specific configuration files used during the deployment stage to create other configuration files that are used in the runtime stage. We also observe that identifying and classifying these types of files is not straightforward, as five out of the nine types can be written in similar programming languages (e.g., Python and Bash) as regular source code files. We also found that the same file extensions (e.g.,
Yaml
) can be used for different configuration types, making it difficult to identify and classify configuration files. Thus, we first leverage a machine learning model to identify configuration from non-configuration files, which achieved a median area under the curve (AUC) of 0.91, a median Brier score of 0.12, a median precision of 0.86, and a median recall of 0.83. Thereafter, we leverage a multi-class classification model to classify configuration files based on the nine configuration types. Our multi-class classification model achieved a median weighted AUC of 0.92, a median Brier score of 0.04, a median weighted precision of 0.84, and a median weighted recall of 0.82. Our analysis also shows that with only 100 labeled configuration and non-configuration files, our model reached a median AUC higher than 0.69. Furthermore, our configuration model requires a minimum of 100 configuration files to reach a median weighted AUC higher than 0.75.
A Local-First Approach for Green Smart Contracts
Authors: Stokkink Quinten , Pouwelse Johan
Published: July 2023

Shared code in blockchains, known as
smart contracts
, stands to replace important parts of our digital governance and financial infrastructure. The permissionless execution of smart contracts is tightly coupled to cryptocurrencies and Proof-of-Work blockchains. As a result, smart contracts inherit the environmental impact of Proof-of-Work blockchains, such as its energy consumption, carbon footprint, and electronic waste. The four concepts of relaxed consistency, strong identities, probabilistic consensus, and the use of liabilities instead of assets may change the status quo. This work explores the integration of these concepts to decouple smart contracts from Proof-of-Work blockchains. By means of a local-first approach, which may expose users to inconsistent ephemeral contract states, the architecture of smart contracts can be transformed to become green. Because such contract states may be dropped, we base the interactions between users on liabilities. We propose a novel paradigm for smart contract architectures, named Green Smart Contracts, that is based on a local-first approach. Furthermore, we present and implement a prototype solution for this paradigm. We validate the need for a mechanism to resolve consistency violations by replaying the contract calls of a real smart contract. Our simulation shows that violations occur more often (13% of contract invocations) when using liabilities than when using a traditional blockchain (3% of contract invocations). However, we additionally validate that they can be avoided using a consensus mechanism, and our experiments show that a publish-subscribe messaging pattern uses the fewest messages to do so, though it may not be applicable for use cases that disallow the inherent imbalance in the messaging between peers. Our carbon emission estimation shows that a Green Smart Contract approach lowers carbon emissions by 52.31% when compared with the messaging behavior of a typical peer-to-peer blockchain with 1000 nodes.
Excessive sodium chloride ingestion promotes inflammation and kidney fibrosis in aging mice
Authors: Bernhardt Anja , Krause Anna , Reichardt Charlotte , Steffen Hannes , Isermann Berend , Völker Uwe , Hammer Elke , Geffers Robert , Philipsen Lars , Dhjamandi Kristin , Ahmad Sohail , Brandt Sabine , Lindquist Jonathan A. , Mertens Peter R.
Published: July 2023

Short-term experimental studies link excessive sodium ingestion with extracellular matrix accumulation and inflammatory cell recruitment, yet long-term data are scarce. Our findings with a high-salt diet over 16 mo in aging mice pinpoints to a decisive tipping point after 12 mo with tubular stress response, skewed matrisome transcriptome, and immune cell infiltration. Cell senescence was aggravated in knockout animals for cold shock Y-box binding protein (YB-1), suggesting a novel protective protein function.
Progranulin and EGFR modulate receptor-like tyrosine kinase sorting and stability in mesothelioma cells
Authors: Ventura Elisa , Belfiore Antonino , Iozzo Renato V. , Giordano Antonio , Morrione Andrea
Published: July 2023

The growth factor progranulin has pro-tumorigenic activity. In mesothelioma, progranulin signaling is mediated by EGFR and RYK, a co-receptor of the Wnt signaling. However, the molecular mechanisms regulating progranulin action are not well defined. Here, we demonstrated that progranulin binds RYK and regulates its ubiquitination, internalization, and trafficking. We also uncovered a role for EGFR in modulating RYK stability. Overall, these results highlight a complex modulation of RYK activity by progranulin and EGFR in mesothelioma.
Clinical Efficacy of Platelet Derivatives in Periodontal Tissue Regeneration: An Umbrella Review
Authors: Ardila Carlos M. , Pertuz María , Vivares-Builes Annie Marcela
Published: July 2023

Objectives. This umbrella review aimed to consolidate the best available evidence regarding the clinical efficacy of platelet derivatives in the treatment of periodontal defects associated with periodontitis and in the management of mucogingival deformities. Materials and Methods. The “umbrella review” strategy was used to identify systematic reviews and meta-analyses. The search was performed without language restrictions and updated at the end of February 2023. The PubMed and Scopus databases, together with gray literature, were included in the search. Results. The search yielded 412 studies. Subsequently, 12 articles were selected for further examination based on relevance. Finally, eight systematic reviews and meta-analyses were assessed. Regarding intrabony defects, in terms of clinical attachment level (CAL) gain, platelet-rich fibrin (PRF) was observed to lead to a statistically significant attachment gain compared to surgical therapy alone. PRF was also found to show greater CAL gain compared to platelet-rich plasma (PRP) and other biomaterials. The parameter probing depth decreased significantly when PRF was used compared to surgical therapy alone (

P
<
0.05

). Similar results were seen when leukocyte- and platelet-rich fibrin (L-PRF) was applied. In terms of radiographic bone fill, both PRF and PRP showed significantly greater bone fill compared to surgical therapy. Regarding the results of periodontal plastic surgery, PRF favored a slight root coverage compared to the coronally displaced flap. This result depended on the number of PRF and L-PRF membranes used, but Emdogain or connective tissue graft produced better results regardless. However, an improvement in the healing of periodontal tissues was reported. Conclusions. Therapies with platelet derivatives applied to intrabony defects provided superior regenerative results compared to monotherapies, except in the case of root coverage.
Optimal Embedding of Graphs with Nonconcurrent Longest Paths in Archimedean Tessellations
Authors: Nadeem Muhammad Faisal , Shabbir Ayesha , Imran Muhammad
Published: July 2023

Optimal graph embeddings represent graphs in a lower dimensional space in a way that preserves the structure and properties of the original graph. These techniques have wide applications in fields such as machine learning, data mining, and network analysis. Do we have small (if possible minimal)

k

-connected graphs with the property that for any

j

vertices there is a longest path avoiding all of them? This question of Zamfirescu (1972) was the first variant of Gallai’s question (1966): Do all longest paths in a connected graph share a common vertex? Several good examples answering Zamfirescu’s question are known. In 2001, he asked to investigate the family of geometrical lattices with respect to this property. In 2017, Chang and Yuan proved the existence of such graphs in Archimedean tiling. Here, we prove that the graphs presented by Chang and Yuan are not optimal by constructing such graphs of sufficiently smaller orders. The problem of finding nonconcurrent longest paths in Archimedean tessellations refers to finding paths in a lattice such that the paths do not overlap or intersect with each other and are as long as possible. The complexity of embedding graph is still unknown. This problem can be challenging because it requires finding paths that are both long and do not intersect, which can be difficult due to the constraints of the lattice structure.
NR1D1 Stimulates Antitumor Immune Responses in Breast Cancer by Activating cGAS-STING Signaling
Authors: Ka Na-Lee , Park Mi Kyung , Kim Seung-Su , Jeon Yoon , Hwang Sewon , Kim Sun Mi , Lim Ga Young , Lee Ho , Lee Mi-Ock
Published: July 2023

Potentiating antitumor immunity is a promising therapeutic approach for treating a variety of cancers, including breast cancer. One potential strategy to promote antitumor immunity is targeting DNA damage response. Given that the nuclear receptor NR1D1 (also known as REV-ERBα) inhibits DNA repair in breast cancer cells, we explored the role of NR1D1 in antitumor CD8+ T-cell responses. First, deletion of Nr1d1 in MMTV-PyMT transgenic mice resulted in increased tumor growth and lung metastasis. Orthotopic allograft experiments suggested that loss of Nr1d1 in tumor cells rather than in stromal cells played a prominent role in increasing tumor progression. Comprehensive transcriptome analyses revealed that biological processes including type I IFN signaling and T cell–mediated immune responses were associated with NR1D1. Indeed, the expression of type I IFNs and infiltration of CD8+ T cells and natural killer cells in tumors were suppressed in Nr1d1−/−;MMTV-PyMT mice. Mechanistically, NR1D1 promoted DNA damage–induced accumulation of cytosolic DNA fragments and activated cGAS-STING signaling, which increased the production of type I IFNs and downstream chemokines CCL5 and CXCL10. Pharmacologic activation of NR1D1 by its ligand, SR9009, enhanced type I IFN–mediated antitumor immunity accompanied by the suppression of tumor progression and lung metastasis. Taken together, these findings reveal the critical role of NR1D1 in enhancing antitumor CD8+ T-cell responses, suggesting that NR1D1 may be a good therapeutic target for breast cancer.

Significance:

NR1D1 suppresses breast cancer progression and lung metastasis by enhancing antitumor immunity via cGAS-STING pathway activation, which provides potential immunotherapeutic strategies for breast cancer.
TABLE 1 from Targeting the Clear Cell Sarcoma Oncogenic Driver Fusion Gene EWSR1::ATF1 by HDAC Inhibition
Authors: Mae Hirokazu , Outani Hidetatsu , Imura Yoshinori , Chijimatsu Ryota , Inoue Akitomo , Kotani Yuki , Yasuda Naohiro , Nakai Sho , Nakai Takaaki , Takenaka Satoshi , Okada Seiji
Published: July 2023

IC50s of various tumor cell lines
Supplementary Table S6 from Validation of Immunotherapy Response Score as predictive of pan-solid tumor anti-PD-1/PD-L1 benefit
Authors: Bulen Benjamin J , Khazanov Nickolay A , Hovelson Daniel H. , Lamb Laura E , Matrana Marc , Burkard Mark E , Yang Eddy Shih-Hsin , Edenfield William J. , Claire Dees Elizabeth , Onitilo Adedayo A. , Buchschacher Gary L , Miller Alan M , Parsons Benjamin M. , Wassenaar Timothy R. , Suga Jennifer M. , Siegel Robert D , Irvin William , Nair Suresh , Slim Jennifer N. , Misleh Jamal , Khatri Jamil , Masters Gregory A , Thomas Sachdev , Safa Malek M. , Anderson Daniel M. , Mowers Jonathan , Dusenbery Anna C , Drewery Stephanie , Plouffe Komal , Reeder Travis , Vakil Hana , Patrias Lynnae , Falzetta Amanda , Hamilton Ryan , Kwiatkowski Kat , Johnson D. Bryan , Rhodes Daniel R , Tomlins Scott A.
Published: July 2023

Supplementary Table S6 shows the characteristics of the PD-L1 IHC cohort
Supplementary Table S5 from Validation of Immunotherapy Response Score as predictive of pan-solid tumor anti-PD-1/PD-L1 benefit
Authors: Bulen Benjamin J , Khazanov Nickolay A , Hovelson Daniel H. , Lamb Laura E , Matrana Marc , Burkard Mark E , Yang Eddy Shih-Hsin , Edenfield William J. , Claire Dees Elizabeth , Onitilo Adedayo A. , Buchschacher Gary L , Miller Alan M , Parsons Benjamin M. , Wassenaar Timothy R. , Suga Jennifer M. , Siegel Robert D , Irvin William , Nair Suresh , Slim Jennifer N. , Misleh Jamal , Khatri Jamil , Masters Gregory A , Thomas Sachdev , Safa Malek M. , Anderson Daniel M. , Mowers Jonathan , Dusenbery Anna C , Drewery Stephanie , Plouffe Komal , Reeder Travis , Vakil Hana , Patrias Lynnae , Falzetta Amanda , Hamilton Ryan , Kwiatkowski Kat , Johnson D. Bryan , Rhodes Daniel R , Tomlins Scott A.
Published: July 2023

Supplementary Table S5 shows rates of rwPFS2/rwPFS1 in the case cross-over analysis
Supplementary Figure S1 from Targeting the Clear Cell Sarcoma Oncogenic Driver Fusion Gene EWSR1::ATF1 by HDAC Inhibition
Authors: Mae Hirokazu , Outani Hidetatsu , Imura Yoshinori , Chijimatsu Ryota , Inoue Akitomo , Kotani Yuki , Yasuda Naohiro , Nakai Sho , Nakai Takaaki , Takenaka Satoshi , Okada Seiji
Published: July 2023

Fig. S1 Heatmap of high throughput screening data.
FIGURE 6 from Targeting the Clear Cell Sarcoma Oncogenic Driver Fusion Gene EWSR1::ATF1 by HDAC Inhibition
Authors: Mae Hirokazu , Outani Hidetatsu , Imura Yoshinori , Chijimatsu Ryota , Inoue Akitomo , Kotani Yuki , Yasuda Naohiro , Nakai Sho , Nakai Takaaki , Takenaka Satoshi , Okada Seiji
Published: July 2023

BET inhibitors enhance the effect of vorinostat on CCS. A, SU-CCS1 and Hewga-CCS cells were treated for 48 hours with the indicated concentrations of vorinostat in the absence (–) or presence (+) of 300 nmol/L JQ1, and the viable number of cells was estimated using a WST-8 assay (n = 3). The calculated combination index values are shown in the histogram. B, SU-CCS1, and Hewga-CCS cells were treated for 24 hours with the absence (–) or presence (+) of 300 nmol/L vorinostat or JQ1. EWSR1::ATF1 mRNA levels in CCS cells were quantified using qRT-PCR (normalized to GAPDH; n = 3). C and D, SU-CCS1 and Hewga-CCS cells were engrafted in nude mice, which were treated with vehicle (controls), or 0.4 mg/kg mivebresib, or 20 mg/kg vorinostat, or both drugs in combination (4 mice/group). Tumor volume (C) and weight (D) of SU-CCS1 and Hewga-CCS tumors during treatment are shown (n = 4). *, P < 0.05; **, P < 0.01 (Student t test).
Supplementary Table S11 from Validation of Immunotherapy Response Score as predictive of pan-solid tumor anti-PD-1/PD-L1 benefit
Authors: Bulen Benjamin J , Khazanov Nickolay A , Hovelson Daniel H. , Lamb Laura E , Matrana Marc , Burkard Mark E , Yang Eddy Shih-Hsin , Edenfield William J. , Claire Dees Elizabeth , Onitilo Adedayo A. , Buchschacher Gary L , Miller Alan M , Parsons Benjamin M. , Wassenaar Timothy R. , Suga Jennifer M. , Siegel Robert D , Irvin William , Nair Suresh , Slim Jennifer N. , Misleh Jamal , Khatri Jamil , Masters Gregory A , Thomas Sachdev , Safa Malek M. , Anderson Daniel M. , Mowers Jonathan , Dusenbery Anna C , Drewery Stephanie , Plouffe Komal , Reeder Travis , Vakil Hana , Patrias Lynnae , Falzetta Amanda , Hamilton Ryan , Kwiatkowski Kat , Johnson D. Bryan , Rhodes Daniel R , Tomlins Scott A.
Published: July 2023

Supplementary Table S11 shows the characteristics of the chemotherapy, anti-PD-(L)1, and chemotherapy + anti-PD-(L)1 validation cohort
Supplementary Table S10 from Validation of Immunotherapy Response Score as predictive of pan-solid tumor anti-PD-1/PD-L1 benefit
Authors: Bulen Benjamin J , Khazanov Nickolay A , Hovelson Daniel H. , Lamb Laura E , Matrana Marc , Burkard Mark E , Yang Eddy Shih-Hsin , Edenfield William J. , Claire Dees Elizabeth , Onitilo Adedayo A. , Buchschacher Gary L , Miller Alan M , Parsons Benjamin M. , Wassenaar Timothy R. , Suga Jennifer M. , Siegel Robert D , Irvin William , Nair Suresh , Slim Jennifer N. , Misleh Jamal , Khatri Jamil , Masters Gregory A , Thomas Sachdev , Safa Malek M. , Anderson Daniel M. , Mowers Jonathan , Dusenbery Anna C , Drewery Stephanie , Plouffe Komal , Reeder Travis , Vakil Hana , Patrias Lynnae , Falzetta Amanda , Hamilton Ryan , Kwiatkowski Kat , Johnson D. Bryan , Rhodes Daniel R , Tomlins Scott A.
Published: July 2023

Supplementary Table S10 shows the characteristics of the anti-PD-(L)1 monotherapy self-reported race validation cohort and the non-European subset
Supplementary Figure S6 from Validation of Immunotherapy Response Score as predictive of pan-solid tumor anti-PD-1/PD-L1 benefit
Authors: Bulen Benjamin J , Khazanov Nickolay A , Hovelson Daniel H. , Lamb Laura E , Matrana Marc , Burkard Mark E , Yang Eddy Shih-Hsin , Edenfield William J. , Claire Dees Elizabeth , Onitilo Adedayo A. , Buchschacher Gary L , Miller Alan M , Parsons Benjamin M. , Wassenaar Timothy R. , Suga Jennifer M. , Siegel Robert D , Irvin William , Nair Suresh , Slim Jennifer N. , Misleh Jamal , Khatri Jamil , Masters Gregory A , Thomas Sachdev , Safa Malek M. , Anderson Daniel M. , Mowers Jonathan , Dusenbery Anna C , Drewery Stephanie , Plouffe Komal , Reeder Travis , Vakil Hana , Patrias Lynnae , Falzetta Amanda , Hamilton Ryan , Kwiatkowski Kat , Johnson D. Bryan , Rhodes Daniel R , Tomlins Scott A.
Published: July 2023

Supplementary Figure S6 shows three group Immunotherapy Response Score classification of the anti-PD-(L)1 monotherapy validation cohort
Supplementary Figure S4 from Validation of Immunotherapy Response Score as predictive of pan-solid tumor anti-PD-1/PD-L1 benefit
Authors: Bulen Benjamin J , Khazanov Nickolay A , Hovelson Daniel H. , Lamb Laura E , Matrana Marc , Burkard Mark E , Yang Eddy Shih-Hsin , Edenfield William J. , Claire Dees Elizabeth , Onitilo Adedayo A. , Buchschacher Gary L , Miller Alan M , Parsons Benjamin M. , Wassenaar Timothy R. , Suga Jennifer M. , Siegel Robert D , Irvin William , Nair Suresh , Slim Jennifer N. , Misleh Jamal , Khatri Jamil , Masters Gregory A , Thomas Sachdev , Safa Malek M. , Anderson Daniel M. , Mowers Jonathan , Dusenbery Anna C , Drewery Stephanie , Plouffe Komal , Reeder Travis , Vakil Hana , Patrias Lynnae , Falzetta Amanda , Hamilton Ryan , Kwiatkowski Kat , Johnson D. Bryan , Rhodes Daniel R , Tomlins Scott A.
Published: July 2023

Supplementary Figure S4 shows a validation of the predictive nature of Immunotherapy Response Score
Supplementary Figure S1 from Validation of Immunotherapy Response Score as predictive of pan-solid tumor anti-PD-1/PD-L1 benefit
Authors: Bulen Benjamin J , Khazanov Nickolay A , Hovelson Daniel H. , Lamb Laura E , Matrana Marc , Burkard Mark E , Yang Eddy Shih-Hsin , Edenfield William J. , Claire Dees Elizabeth , Onitilo Adedayo A. , Buchschacher Gary L , Miller Alan M , Parsons Benjamin M. , Wassenaar Timothy R. , Suga Jennifer M. , Siegel Robert D , Irvin William , Nair Suresh , Slim Jennifer N. , Misleh Jamal , Khatri Jamil , Masters Gregory A , Thomas Sachdev , Safa Malek M. , Anderson Daniel M. , Mowers Jonathan , Dusenbery Anna C , Drewery Stephanie , Plouffe Komal , Reeder Travis , Vakil Hana , Patrias Lynnae , Falzetta Amanda , Hamilton Ryan , Kwiatkowski Kat , Johnson D. Bryan , Rhodes Daniel R , Tomlins Scott A.
Published: July 2023

Supplementary Figure S1 shows analytical validation of the gene expression component of Immunotherapy Response Score components vs. qRT-PCR
Supplementary Data S2 from Validation of Immunotherapy Response Score as predictive of pan-solid tumor anti-PD-1/PD-L1 benefit
Authors: Bulen Benjamin J , Khazanov Nickolay A , Hovelson Daniel H. , Lamb Laura E , Matrana Marc , Burkard Mark E , Yang Eddy Shih-Hsin , Edenfield William J. , Claire Dees Elizabeth , Onitilo Adedayo A. , Buchschacher Gary L , Miller Alan M , Parsons Benjamin M. , Wassenaar Timothy R. , Suga Jennifer M. , Siegel Robert D , Irvin William , Nair Suresh , Slim Jennifer N. , Misleh Jamal , Khatri Jamil , Masters Gregory A , Thomas Sachdev , Safa Malek M. , Anderson Daniel M. , Mowers Jonathan , Dusenbery Anna C , Drewery Stephanie , Plouffe Komal , Reeder Travis , Vakil Hana , Patrias Lynnae , Falzetta Amanda , Hamilton Ryan , Kwiatkowski Kat , Johnson D. Bryan , Rhodes Daniel R , Tomlins Scott A.
Published: July 2023

Supplementary Data S2 shows the clinical and molecular data for the monotherapy validation cohort
Data from Clinically defined mutations in MEN1 alter its tumor-suppressive function through increased menin turnover
Authors: Duan Suzann , Sheriff Sulaiman , Elvis-Offiah Uloma B. , Witten Brandon L , Sawyer Travis W. , Sundaresan Sinju , Cierpicki Tomasz , Grembecka Jolanta , Merchant Juanita L.
Published: July 2023

Abstract
Loss of the tumor suppressor protein menin is a critical event underlying the formation of neuroendocrine tumors (NETs) in hormone-expressing tissues including gastrinomas. While aberrant expression of menin impairs its tumor suppression, few studies explore the structure–function relationship of clinical Multiple Endocrine Neoplasia, type 1 (MEN1) mutations in the absence of a complete loss of heterozygosity at both loci. Here, we determined whether clinical MEN1 mutations render nuclear menin unstable and lead to its functional inactivation. We studied the structural and functional implications of two clinical MEN1 mutations (R516fs, E235K) and a third variant (A541T) recently identified in ten patients with GEP-NETs. We evaluated the subcellular localization and half-lives of the mutants and variant in Men1-null mouse embryo fibroblast cells and in hormone-expressing human gastric adenocarcinoma and neuroendocrine tumor cell lines. Loss of menin function was assessed by cell proliferation and gastrin gene expression assays. Lastly, we evaluated the effect of the small molecule compound MI-503 on stabilizing nuclear menin expression and function in vitro and in a previously reported mouse model of gastric NET development. Both the R516fs and E235K mutants exhibited severe defects in total and subcellular expression of menin, and this was consistent with reduced half-lives of these mutants. Mutated menin proteins exhibited loss of function in suppressing tumor cell proliferation and gastrin expression. Treatment with MI-503 rescued nuclear menin expression and attenuated hypergastrinemia and gastric hyperplasia in NET-bearing mice. Clinically defined MEN1 mutations and a germline variant confer pathogenicity by destabilizing nuclear menin expression.
Video Self-Modelling as an Interactive Learning Tool in enhancing Student’s Engagement in Physical Activity
Authors: Calubayan Lovely D. , Ofrin Darwin O.
Published: July 2023

This study sought to investigate the students’ perception on the video self-modelling as an interactive learning tool in enhancing their engagement in physical activity in terms of its acceptability, usability, functionality, frequency and relevance, their level of students’ engagement in physical Activity as in their authentic engagement, strategic compliance, intellectual engagement, social engagement and behavioral engagement. Furthermore, this also examine the significant relationship between Video self-modelling As an Interactive Learning Tool and Student Engagement in Physical Activity. The researcher utilized the constructed survey questionnaire to the selected Grade 11 and Grade 12 Senior High School Students of San Isidro National High School, General Luna, Quezon, to gather data needed in the study. The participants were selected through stratifies sampling technique. Furthermore, the mean, the standard deviation and Pearson r were used as statistical tool. It was revealed that the students accept the video-self modeling as it is easy to use, rich in content, and interesting interactive tool in PE subject. Further, through video-self modeling, the students develop positive behavior, improved existing skills, performed well in physical activities, was motivated, understand the lesson, and boost the confidence and self-esteem, Moreover, the video-self modelling as an interactive tool has significant relevance to the students engagement.
Basic Education Through the Lens of Internationalization: The Case of Bohol Province
Authors: Cajilog Aly Marie L. , Pabalan Asuncion P.
Published: July 2023

The internationalization of basic education in the Philippines is crucial for fostering global competencies, enhancing intercultural understanding, and promoting the country's competitiveness in the rapidly globalizing world. This study aimed to investigate the readiness, challenges encountered, and lived experiences of teachers and school administrators towards internationalization in basic education in the selected public schools in Bohol and Tagbilaran City divisions for the school year 2022–2023. It employed a mixed-method research design, specifically explanatory-sequential or Quantitative-qualitative research. In the quantitative phase, the researcher used a survey method. In the qualitative phase, she conducted an interview. Quantitative data were analyzed using descriptive statistics, while qualitative data was analyzed using thematic analysis. Joint Display analysis was used to determine how the qualitative findings corroborated the quantitative results. The sample comprises 300 respondents from the Tagbilaran City and Bohol province Divisions. Findings revealed that schools were largely prepared in curriculum and student services aspects but lacked in areas such as teacher qualifications and facility upgrades. Participants emphasized the value of cultural awareness, flexible learning, and proficient teaching skills for globalization. Despite this, the study uncovered major obstacles like inadequate e-library and ICT services, institutional challenges, community issues, and less motivation of faculty members towards advanced education. These results offer insights for decision-makers, school heads, and educators to improve school readiness for internationalization. Recommendations were proposed to enhance the readiness and address the concerns, issues, and gaps in the internationalization of basic education.
PRDM16
Deletion Is Associated With Sex-dependent Cardiomyopathy and Cardiac Mortality: A Translational, Multi-Institutional Cohort Study
Authors: Kramer Ryan J. , Fatahian Amir Nima , Chan Alice , Mortenson Jeffery , Osher Jennifer , Sun Bo , Parker Lauren E. , Rosamilia Michael B. , Potter Kyra B. , Moore Kaila , Atkins Sage L. , Rosenfeld Jill A. , Birjiniuk Alona , Jones Edward , Howard Taylor S. , Kim Jeffrey J. , Scott Daryl A. , Lalani Seema , Rouzbehani Omid M.T. , Kaplan Samantha , Hathaway Marissa A. , Cohen Jennifer L. , Asaki S. Yukiko , Martinez Hugo R. , Boudina Sihem , Landstrom Andrew P.
Published: July 2023

BACKGROUND:

1p36 deletion syndrome can predispose to pediatric-onset cardiomyopathy. Deletion breakpoints are variable and may delete the transcription factor
PRDM16
. Early studies suggest that deletion of
PRDM16
may underlie cardiomyopathy in patients with 1p36 deletion; however, the prognostic impact of
PRDM16
loss is unknown.

METHODS:

This retrospective cohort included subjects with 1p36 deletion syndrome from 4 hospitals. Prevalence of cardiomyopathy and freedom from death, cardiac transplantation, or ventricular assist device were analyzed. A systematic review cohort was derived for further analysis. A cardiac-specific
Prdm16
knockout mouse (
Prdm16
conditional knockout) was generated. Echocardiography was performed at 4 and 6 to 7 months. Histology staining and qPCR were performed at 7 months to assess fibrosis.

RESULTS:

The retrospective cohort included 71 patients. Among individuals with
PRDM16
deleted, 34.5% developed cardiomyopathy versus 7.7% of individuals with
PRDM16
not deleted (
P
=0.1). In the combined retrospective and systematic review cohort (n=134),
PRDM16
deletion-associated cardiomyopathy risk was recapitulated and significant (29.1% versus 10.8%,
P
=0.03).
PRDM16
deletion was associated with increased risk of death, cardiac transplant, or ventricular assist device (
P
=0.04). Among those
PRDM16
deleted, 34.5% of females developed cardiomyopathy versus 16.7% of their male counterparts (
P
=0.2). We find sex-specific differences in the incidence and the severity of contractile dysfunction and fibrosis in female
Prdm16
conditional knockout mice. Further, female
Prdm16
conditional knockout mice demonstrate significantly elevated risk of mortality (
P
=0.0003).

CONCLUSIONS:

PRDM16
deletion is associated with a significantly increased risk of cardiomyopathy and cardiac mortality.
Prdm16
conditional knockout mice develop cardiomyopathy in a sex-biased way. Patients with
PRDM16
deletion should be assessed for cardiac disease.
Two newly recorded species of Aspidistra (Asparagaceae) for the flora of China: A. obliqua and A. triradiata
Authors: NURALIEV MAXIM S. , ROMANOV MIKHAIL S. , DROKINA VICTORIA G. , FU LONG-FEI , VISLOBOKOV NIKOLAY A.
Published: July 2023

Findings of two species of Aspidistra, i.e. A. obliqua and A. triradiata, are reported from Guangxi Zhuang Autonomous Region, representing the first documented records of these species from China. Both species were earlier considered to be endemic to northern Vietnam. Analytical photographs of the studied plants in living state are provided. Morphological variation of the species under study is briefly discussed. Geographical distribution of the two species is summarized and depicted on a map.
A novel hydnoid species of Hydnellum (Bankeraceae, Thelephorales) from southwest China
Authors: LEI LEI , LUANGHARN THATSANEE , YU FENG-MING , LI WEI-JIAO , ZHAO QI
Published: July 2023

Hydnellum (Bankeraceae, Thelephorales) is a stipitate hydnoid genus with spinous hymenophore, brown tuberculate basidiospores, and very tough, corky, or leathery flesh. This genus is widely distributed in the northern hemisphere, and many species are committed to mycorrhizal relationships with certain trees. In this study, one new species of Hydnellum, H. ailaoense sp. nov., was proposed, described and illustrated here. Its phylogenetic position was evaluated using two genomic loci (nLSU and ITS). The phylogenetic result shows that H. ailaoense and H. underwoodii group together and form a sister branch with a strong support value. Morphologically, H. ailaoense differs from other Hydnellum members in its pileus uplifted squamosa, margin brownish beige to grey, and the tuberculi of basidiospores usually isolated or grouped in 2 or more.
TCDetect: A New Method of Detecting the Presence of Tropical Cyclones Using Deep Learning
Authors: Galea Daniel , Kunkel Julian , Lawrence Bryan N.
Published: July 2023

Tropical cyclones are high-impact weather events that have large human and economic effects, so it is important to be able to understand how their location, frequency, and structure might change in a future climate. Here, a lightweight deep learning model is presented that is intended for detecting the presence or absence of tropical cyclones during the execution of numerical simulations for use in an online data reduction method. This will help to avoid saving vast amounts of data for analysis after the simulation is complete. With run-time detection, it might be possible to reduce the need for some of the high-frequency high-resolution output that would otherwise be required. The model was trained on ERA-Interim reanalysis data from 1979 to 2017, and the training was concentrated on delivering the highest possible recall rate (successful detection of cyclones) while rejecting enough data to make a difference in outputs. When tested using data from the two subsequent years, the recall or probability of detection rate was 92%. The precision rate or success ratio obtained was that of 36%. For the desired data reduction application, if the desired target included all tropical cyclone events, even those that did not obtain hurricane-strength status, the effective precision was 85%. The recall rate and the area under curve for the precision–recall (AUC-PR) compare favorably with other methods of cyclone identification while using the smallest number of parameters for both training and inference.
Associations of Serum Apolipoprotein A1 and High Density Lipoprotein Cholesterol With Glucose Level in Patients With Coronary Artery Disease
Authors: Dong Hongli , Lu Nan , Hu Ping , Wang Jie
Published: July 2023

This study determined the associations of apolipoprotein A1 (ApoA1), high-density lipoprotein cholesterol (HDL-C), and HDL-C/ApoA1 ratio with fasting blood glucose (FBG) and evaluated the mediating effects of high-sensitivity C-reactive protein (hsCRP) and body mass index (BMI). A cross-sectional study with 4805 coronary artery disease (CAD) patients was performed. In multivariable analyses, higher ApoA1, HDL-C, and HDL-C/ApoA1 ratio were associated with significantly lower FBG level (Q [quartile] 4 vs Q1: 5.67 vs 5.87 mmol/L for ApoA1; 5.64 vs 5.98 mmol/L for HDL-C; 5.63 vs 6.01 mmol/L for HDL-C/ApoA1 ratio). Moreover, inverse associations of ApoA1, HDL-C, and HDL-C/ApoA1 ratio with abnormal FBG (AFBG) were found with odd ratios (95% confidence interval) of .83 (.70–.98), .60 (.50–.71), and .53 (.45–.64) in Q4 compared with Q1. Path analyses indicated that “ApoA1 (or HDL-C)-FBG” associations were mediated by hsCRP and “HDL-C-FBG” association was mediated by BMI. Our data suggested that higher ApoA1, HDL-C, and HDL-C/ApoA1 ratio were favorably associated with a lower FBG level in CAD patients and these associations might be mediated by hsCRP or BMI. Collectively, higher concentrations of ApoA1, HDL-C, and HDL-C/ApoA1 ratio might decrease the risk of AFBG.
Principles for delivering improved care of people with functional seizures: Closing the treatment gap
Authors: Winton-Brown Toby , Wilson Sarah J , Felmingham Kim , Rayner Genevieve , O’Brien Terence J , O’Brien Patrick , Mohan Adith , Velakoulis Dennis , Kanaan Richard
Published: July 2023

Patients diagnosed with functional (psychogenic nonepileptic) seizures have similar or greater levels of disability, morbidity and mortality than people with epilepsy, but there are far fewer treatment services. In contrast to epilepsy, the current understanding of pathophysiological mechanisms and the development of evidence-based treatments for functional seizures is rudimentary. This leads to high direct healthcare costs and high indirect costs to the patient, family and wider society. There are many patient, clinician and system-level barriers to improving outcomes for functional seizures. At a patient level, these include the heterogeneity of symptoms, diagnostic uncertainty, family factors and difficulty in perceiving psychological aspects of illness and potential benefits of treatment. Clinician-level barriers include sub-specialism, poor knowledge, skills and attitudes and stigma. System-level barriers include the siloed nature of healthcare, the high prevalence of functional seizures and funding models relying on individual medical practitioners. Through the examination of international examples and expert recommendations, several themes emerge that may address some of these barriers. These include (1) stepped care with low-level, brief generalised interventions, proceeding to higher level, extended and individualised treatments; (2) active triage of complexity, acuity and treatment readiness; (3) integrated interdisciplinary teams that individualise formulation, triage, and treatment planning and (4) shared care with primary, emergency and community providers and secondary consultation. Consideration of the application of these principles to the Australian and New Zealand context is proposed as a significant opportunity to meet an urgent need.
Bacterial Community Modifies Host Genetics Effect on Early Childhood Caries
Authors: Blostein F. , Zou T. , Bhaumik D. , Salzman E. , Bakulski K.M. , Shaffer J.R. , Marazita M.L. , Foxman B.
Published: July 2023

By age 5, approximately one-fifth of children have early childhood caries (ECC). Both the oral microbiome and host genetics are thought to influence susceptibility. Whether the oral microbiome modifies genetic susceptibility to ECC has not been tested. We test whether the salivary bacteriome modifies the association of a polygenic score (PGS, a score derived from genomic data that summarizes genetic susceptibility to disease) for primary tooth decay on ECC in the Center for Oral Health Research in Appalachia 2 longitudinal birth cohort. Children were genotyped using the Illumina Multi-Ethnic Genotyping Array and underwent annual dental examinations. We constructed a PGS for primary tooth decay using weights from an independent, genome-wide association meta-analysis. Using Poisson regression, we tested for associations between the PGS (high versus low) and ECC incidence, adjusting for demographic characteristics ( n = 783). An incidence-density sampled subset of the cohort ( n = 138) had salivary bacteriome data at 24 mo of age. We tested for effect modification of the PGS on ECC case status by salivary bacterial community state type (CST). By 60 mo, 20.69% of children had ECC. High PGS was not associated with an increased rate of ECC (incidence rate ratio, 1.09; 95% confidence interval [CI], 0.83–1.42). However, having a cariogenic salivary bacterial CST at 24 mo was associated with ECC (odds ratio [OR], 7.48; 95% CI, 3.06–18.26), which was robust to PGS adjustment. An interaction existed between the salivary bacterial CST and the PGS on the multiplicative scale ( P = 0.04). The PGS was associated with ECC (OR, 4.83; 95% CI, 1.29–18.17) only among individuals with a noncariogenic salivary bacterial CST ( n = 70). Genetic causes of caries may be harder to detect when not accounting for cariogenic oral microbiomes. As certain salivary bacterial CSTs increased ECC risk across genetic risk strata, preventing colonization of cariogenic microbiomes would be universally beneficial.
Anti-austerity riots in late developing states: Evidence from the 1977 Egyptian Bread Intifada
Authors: Ketchley Neil , Eibl Ferdinand , Gunning Jeroen
Published: July 2023

In late developing states, labor markets are often segmented as a result of import substitution and political coalitions centered on the formally employed. Building on insider–outsider and moral economy frameworks from political economy, we theorize that in such contexts labor market insiders develop strong expectations about welfare provision and public transfers that make them more likely to riot against proposed austerity measures. We test our argument with the case of Egypt during the 1977 Bread Intifada, when the announcement of subsidy cuts sparked rioting across the country. To conduct our analysis, we match an original event catalog compiled from Arabic-language sources with disaggregated employment data. Spatial models, rich micro-level data, and the sudden and short-lived nature of the rioting help us to disentangle the importance of an area’s labor force from its location and wider socio-economic context. As we show, despite the diffuse impact of the subsidy cuts, rioting was especially concentrated in areas with labor market insiders – and this is after accounting for a range of plausible alternative explanations. The results suggest that moral economies arising from labor market segmentation can powerfully structure violent opposition to austerity.
Facial Reactivity to Emotional Stimuli is Related to Empathic Concern, Empathic Distress, and Depressive Symptoms in Social Work Students
Authors: Plusquellec Pierrich , Smart Kaylee , Denault Vincent
Published: July 2023

Helping professionals are exposed daily to the emotional burden of their vulnerable clients and are at risk of unconscious emotional contagion that may lead to stress and emotional distress. Being aware of their own susceptibility to emotional contagion, however, can improve their well-being. This study aimed to propose an objective measure of emotional contagion, complementary to the Emotional Contagion Scale, and to evaluate its construct and predictive validity. To do so, we turned to FACET, an automatic facial coding software using the Facial Action Coding System, to measure participants’ facial expressions as they watched movie clips eliciting specific emotional responses. Results show that both tools to measure emotional contagion (objective and self-reported) are complementary, but they do not measure the same psychosocial constructs. Also, the new objective measure of emotional contagion seems to predict emotional empathy and the risk of developing depressive symptoms among this study’s participants.
A Theological Study of Julian of Norwich’s Hopeful Words “All Shall Be Well”
Authors: Kim Jonghyun
Published: July 2023

This article analyzes the perspective in Julian Norwich's words, “All Shall Be Well” through the lens of the Korean Presbyterian Church, specifically its focus on sin and repentance as a practical interest. Examining the concept of sin that is emphasized in practice, I compare John Calvin’s theology of sin with Julian’s to reconsider a comprehensive understanding of sin for helping Korean Christians on their spiritual journey.