bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multimodal data fusion for supervised learning-based identification of USP7 inhibitors: a systematic comparison
Authors: Shen Wen-feng , Tang He-wei , Li Jia-bo , Li Xiang , Chen Si 
Published: January 2023

AbstractUbiquitin-specific-processing protease 7 (USP7) is a promising target protein for cancer therapy, and great attention has been given to the identification of USP7 inhibitors. Traditional virtual screening methods have now been successfully applied to discover USP7 inhibitors aiming at reducing costs and speeding up time in several studies. However, due to their unsatisfactory accuracy, it is still a difficult task to develop USP7 inhibitors. In this study, multiple supervised learning classifiers were built to distinguish active USP7 inhibitors from inactive ligands. Physicochemical descriptors, MACCS keys, ECFP4 fingerprints and SMILES were first calculated to represent the compounds in our in-house dataset. Two deep learning (DL) models and nine classical machine learning (ML) models were then constructed based on different combinations of the above molecular representations under three activity cutoff values, and a total of 15 groups of experiments (75 experiments) were implemented. The performance of the models in these experiments was evaluated, compared and discussed using a variety of metrics. The optimal models are ensemble learning models when the dataset is balanced or severely imbalanced, and SMILES-based DL performs the best when the dataset is slightly imbalanced. Meanwhile, multimodal data fusion in some cases can improve the performance of ML and DL models. In addition, SMOTE, unbiased decoy selection and SMILES enumeration can improve the performance of ML and DL models when the dataset is severely imbalanced, and SMOTE works the best. Our study established highly accurate supervised learning classification models, which would accelerate the development of USP7 inhibitors. Some guidance was also provided for drug researchers in selecting supervised models and molecular representations as well as handling imbalanced datasets.
Graphical Abstract
Metabolic disorder and intestinal microflora dysbiosis in chronic inflammatory demyelinating polyradiculoneuropathy
Authors: Fu Jiafang , Shan Jingli , Cui Yazhou , Yan Chuanzhu , Wang Qinzhou , Han Jinxiang , Cao Guangxiang 
Published: January 2023

Abstract
Objective
Chronic inflammatory demyelinating polyradiculoneuropathy (CIDP) is a rare acquired immune-mediated neuropathy. Although microbial infection is potentially a contributing factor, a causative link between CIDP and microbial infection remains unclear. There is also no definitive biomarker for CIDP diagnostics and therapies. The present study aimed to characterize the serum metabolic profile and gut microbiome structure in CIDP.

Methods
Targeted metabolomics profiling of serum, using liquid chromatography-mass spectrometry, and metagenomics sequencing of stool samples from a cohort of CIDP and non-CIDP subjects were performed to evaluate serum metabolic profiles and gut microbiome structure in CIDP subjects relative to healthy controls.

Results
Metabolome data revealed that the bile acids profile was perturbed in CIDP with bile acids and arachidonic acid enriched significantly in CIDP versus non-CIDP controls. Metagenome data revealed that opportunistic pathogens, such as Klebsiella pneumonia and Megamonas funiformis, and genes involved in bacterial infection were notably more abundant in CIDP subjects, while gut microbes related to biotransformation of secondary bile acids were abnormal in CIDP versus non-CIDP subjects. Correlation analysis revealed that changes in secondary bile acids were associated with altered gut microbes, including Bacteroides ovatus, Bacteroides caccae, and Ruminococcus gnavus.

Conclusion
Bile acids and arachidonic acid metabolism were disturbed in CIDP subjects and might be affected by the dysbiosis of gut microbial flora. These findings suggest that the combination of bile acids and arachidonic acid could be used as a CIDP biomarker and that modulation of gut microbiota might impact the clinical course of CIDP.
On the application of generalized linear mixed models for predicting path loss in LTE networks
Authors: Cohen Achraf , Alqudah Yazan A. 
Published: January 2023

AbstractTo meet the ever-growing demand for higher data rates, accurate channel models are needed for optimal design and deployment of mobile wireless networks. This work proposes a new method for addressing path loss modeling at 800 MHz of suburban environment based on field measurements. Using generalized linear mixed models, we develop a new statistical model that accounts for the autocorrelation among measurements at the same distance at different times. The proposed method allows linear, quadratic, and cubic relationship forms between the path loss measurements and the natural logarithm of the distance, which is almost unexplored as existing models use a straight line relationship. A comparison study consists of comparing nine propagation models in terms of the mean absolute prediction error. The new model performs over $$30\%$$

30
%

better than the existing models for the considered measurements. We also show that a cubic relationship form between path loss measurements and the logarithm of distance could be more suitable than a straight line form for prediction purposes. The results show that the generalized linear mixed models significantly improve the prediction power regardless of the form of the model (linear, quadratic, or cubic).
Exploring adolescents’ perspectives on and experiences with post-primary school-based suicide prevention: a meta-ethnography protocol
Authors: Walsh Eibhlin H. , Herring Matthew P. , McMahon Jennifer 
Published: January 2023

Abstract
Background
Globally, suicide is the fourth leading cause of adolescent mortality. Although post-primary school-based suicide prevention (PSSP) interventions are an evidence-based strategy for targeting adolescent suicidal thoughts and behaviors (STBs), PSSP effectiveness does not easily translate to school settings. Adolescents’ perspectives on PSSP are particularly important for (1) intervention effectiveness and implementation in both research and practice, (2) addressing PSSP evidence-practice gaps, and (3) enhancing meaningful adolescent involvement in PSSP, yet there is a gap in understanding adolescents’ experiences of engaging with PSSP. As such, this protocol outlines a meta-ethnography which will explore and synthesize adolescents’ perspectives on engaging with PSSP interventions, as participants/end-users, intervention advisors, facilitators, and co-designers and co-researchers.

Methods
The meta-ethnography protocol follows the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) guidelines. The protocol was guided by the seven-stage process for meta-ethnography proposed by Noblit and Hare. Searches of PsycINFO, MEDLINE, Web of Science, CINAHL, ERIC, Scopus, and study reference lists will identify peer-reviewed studies. Gray literature will be identified by searches in ProQuest, British Library EThOS, and DART-Europe E-theses Portal. The main reviewer will initially assess the eligibility of studies based on title and abstract, with full texts reviewed by at least two reviewers. Findings of the included studies will be synthesized in line with Noblit and Hare’s stages and evaluated using the Critical Appraisal Skills Program (CASP) checklist.

Discussion
To our knowledge, this is the first proposed meta-ethnography to explore and integrate the findings of qualitative studies exploring adolescents’ perspectives on engaging with PSSP interventions. Understanding adolescents’ experiences of engaging with PSSP will impact the field of PSSP in several ways by (1) enhancing research processes and intervention effectiveness and implementation, (2) informing decision-making and policymaking relevant to practice, (3) guiding meaningful adolescent involvement in PSSP, and (4) contributing to knowledge on the safety implications of engaging adolescents in PSSP. Finally, it is expected that the insights from this meta-ethnography will be widely applicable, given the growing demand for meaningful youth involvement in health-related fields.

Systematic review registration
PROSPERO CRD42022319424.
On convexity analysis for discrete delta Riemann–Liouville fractional differences analytically and numerically
Authors: Baleanu Dumitru , Mohammed Pshtiwan Othman , Srivastava Hari Mohan , Al-Sarairah Eman , Abdeljawad Thabet , Hamed Y. S. 
Published: January 2023

AbstractIn this paper, we focus on the analytical and numerical convexity analysis of discrete delta Riemann–Liouville fractional differences. In the analytical part of this paper, we give a new formula for the discrete delta Riemann-Liouville fractional difference as an alternative definition. We establish a formula for the $\Delta ^{2}$

Δ
2

, which will be useful to obtain the convexity results. We examine the correlation between the positivity of $({}^{\mathrm{RL}}_{w_{0}}\Delta ^{\alpha} \mathrm{f} )( \mathrm{t})$
(

w
0

RL

Δ
α

f
)
(
t
)
and convexity of the function. In view of the basic lemmas, we define two decreasing subsets of $(2,3)$
(
2
,
3
)
, $\mathscr{H}_{\mathrm{k},\epsilon}$

H

k
,
ϵ

and $\mathscr{M}_{\mathrm{k},\epsilon}$

M

k
,
ϵ

. The decrease of these sets allows us to obtain the relationship between the negative lower bound of $({}^{\mathrm{RL}}_{w_{0}}\Delta ^{\alpha} \mathrm{f} )( \mathrm{t})$
(

w
0

RL

Δ
α

f
)
(
t
)
and convexity of the function on a finite time set $\mathrm{N}_{w_{0}}^{\mathrm{P}}:=\{w_{0}, w_{0}+1, w_{0}+2,\dots , \mathrm{P}\}$

N

w
0

P

:
=
{

w
0

,

w
0

+
1
,

w
0

+
2
,
…
,
P
}
for some $\mathrm{P}\in \mathrm{N}_{w_{0}}:=\{w_{0}, w_{0}+1, w_{0}+2,\dots \}$
P
∈

N

w
0

:
=
{

w
0

,

w
0

+
1
,

w
0

+
2
,
…
}
. The numerical part of the paper is dedicated to examinin the validity of the sets $\mathscr{H}_{\mathrm{k},\epsilon}$

H

k
,
ϵ

and $\mathscr{M}_{\mathrm{k},\epsilon}$

M

k
,
ϵ

for different values of k and ϵ. For this reason, we illustrate the domain of solutions via several figures explaining the validity of the main theorem.
Existence of triple solutions for elliptic equations driven by p-Laplacian-like operators with Hardy potential under Dirichlet–Neumann boundary conditions
Authors: Liu Jian , Zhao Zengqin 
Published: January 2023

AbstractIn this article, we focus on triple weak solutions for some p-Laplacian-type elliptic equations with Hardy potential, two parameters, and mixed boundary conditions. We show the existence of at least three distinct weak solutions by using variational methods, the Hardy inequality, and the Bonanno–Marano-type three critical points theorem under suitable assumptions, and the existence of solutions to some particular cases of this type of elliptic equations are also obtained.
Understanding eating disorder symptoms in same-gender couples: social environmental factors
Authors: Rosenbaum Diane L. , August Kristin J. , Gillen Meghan M. , Markey Charlotte H. 
Published: January 2023

AbstractBackgroundSexual minority individuals are at disproportionately greater risk for eating disorders, yet little is known about the ways in which factors in the social environment relate to eating disorder symptoms in this population. Utilizing an ecological systems theory framework, we investigated the relative relationships of macro level (i.e., internalization of sociocultural attitudes about appearance) and micro level (i.e., quality of romantic relationship) social environment influences.MethodsMen (n = 144) and women (n = 144) in committed same-gender relationships were recruited as a dyad and completed study questionnaires, including multiple measures of eating disorder symptoms. Multilevel models controlling for key variables (e.g., body mass index) were used to examine gender differences, main effects, and interactions.ResultsMen reported greater internalization of sociocultural attitudes and uncontrolled eating. Greater internalization of sociocultural attitudes was related to greater eating pathology across all measures. For men, greater relationship quality was related to less uncontrolled eating.ConclusionsIndividuals in same-gender relationships experience macro (e.g., sociocultural) level vulnerability factors in relation to disordered eating; however, internalization of sociocultural attitudes may be greater for men. Support at the microsystem level in the form of a high quality committed romantic relationship appears to be helpful protection against uncontrolled eating for men.
A new type of retropancreatic fascia hernia in the supramesocolic space preoperatively misdiagnosed as a diaphragmatic hernia: report of two cases
Authors: Nakagawa Yoichi , Uchida Hiroo , Makita Satoshi , Yokota Kazuki , Hinoki Akinari , Shirota Chiyoe , Tainaka Takahisa , Sumida Wataru , Amano Hizuru , Ogata Seiya , Takimoto Aitaro , Takada Shunya , Maeda Takuya , Gohda Yousuke 
Published: January 2023

Abstract
Background
We encountered two cases of a new type of retroperitoneal hernia. We herein report the unique features of these cases.

Case presentation
Case 1: A Japanese girl was born at a gestational age of 37 weeks, weighing 2550 g. She underwent laparotomic left diaphragmatic hernia repair for a left Bochdalek hernia at the age of one day. The postoperative course was uneventful; however, chest radiography at the age of 35 days revealed bowel gas in the mediastinum, while computed tomography exhibited intestinal prolapses from the medial side of the mesh into the thoracic cavity. Reoperation was performed at the age of 77 days, showing that the defect hole was not at the diaphragm but in the absence of retropancreatic fascia, which was connected to the posterior mediastinum from the supramesocolic space. The mediastinum space was closed with a suturing spine and artificial mesh, and the defect hole in the pancreatic body was sutured. Case 2: A Japanese boy was born at a gestational age of 40 weeks, weighing 3502 g. He was diagnosed with a left diaphragmatic hernia at birth and underwent laparotomy at the age of two days. Operative findings showed no defect hole in the diaphragm, and no intestine was observed in the abdominal cavity. After close observation of the abdominal cavity, the intestine was found around the pancreatic body, and manual reduction of the intestine was performed. The defect hole existed in the absence of the retropancreatic fascia, which was connected to the extra-pleural space. The defect hole in the pancreatic body was sutured and closed with a non-absorbable thread.

Conclusions
We assumed that our cases were a new type of retroperitoneal hernia, which we named “retropancreatic fascia hernia”.
In silico prediction of potential indigenous microbial biomarkers in Penaeus vannamei identified through meta-analysis and genome-scale metabolic modelling
Authors: Devika Neelakantan Thulasi , Katneni Vinaya Kumar , Jangam Ashok Kumar , Suganya Panjan Nathamuni , Shekhar Mudagandur Shashi , Jithendran Karingalakkandy Poochirian 
Published: January 2023

Abstract
Background
Understanding the microbiome is crucial as it contributes to the metabolic health of the host and, upon dysbiosis, may influence disease development. With the recent surge in high-throughput sequencing technology, the availability of microbial genomic data has increased dramatically. Amplicon sequence-based analyses majorly profile microbial abundance and determine taxonomic markers. Furthermore, the availability of genome sequences for various microbial organisms has prompted the integration of genome-scale metabolic modelling that provides insights into the metabolic interactions influencing host health. However, the analysis from a single study may not be consistent, necessitating a meta-analysis.

Results
We conducted a meta-analysis and integrated with constraint-based metabolic modelling approach, focusing on the microbiome of pacific white shrimp Penaeus vannamei, an extensively cultured marine candidate species. Meta-analysis revealed that Acinetobacter and Alteromonas are significant indicators of "health" and "disease" specific taxonomic biomarkers, respectively. Further, we enumerated metabolic interactions among the taxonomic biomarkers by applying a constraint-based approach to the community metabolic models (4416 pairs). Under different nutrient environments, a constraint-based flux simulation identified five beneficial species: Acinetobacter spWCHA55, Acinetobacter tandoii SE63, Bifidobacterium pseudolongum 49 D6, Brevundimonas pondensis LVF1, and Lutibacter profundi LP1 mediating parasitic interactions majorly under sucrose environment in the pairwise community. The study also reports the healthy biomarkers that can co-exist and have functionally dependent relationships to maintain a healthy state in the host.

Conclusions
Toward this, we collected and re-analysed the amplicon sequence data of P. vannamei (encompassing 117 healthy and 142 disease datasets). By capturing the taxonomic biomarkers and modelling the metabolic interaction between them, our study provides a valuable resource, a first-of-its-kind analysis in aquaculture scenario toward a sustainable shrimp farming.
Judging the possibility of the onset of diabetes mellitus type 2 from reported behavioral changes and from family history
Authors: Sastre María Teresa Muñoz , Sorum Paul Clay , Kpanake Lonzozou , Mullet Etienne 
Published: January 2023

Abstract
Background
Undiagnosed type 2 diabetes is common and can lead to unrecognized health complications. Given that earlier detection can reduce the damage to vital organs, it is important for all persons to be able to make the connection between certain new manifestations in their bodies and the possibility of diabetes. This study examined the extent to which people use the behavioral changes they observe in others (or in themselves), as well as relevant family history, to judge the possibility of the onset of diabetes.

Methods
One hundred and fifty-six adults living in France examined a set of realistic vignettes describing a person with (or without) signs suggestive of diabetes (e.g., increased thirst, family antecedents) and judged the possibility of the disease in each case.

Results
Overall, 36% of participants focused on reported symptoms when judging the possibility of diabetes, 37% focused on family history, and 29% were not able to use the information or tended systematically to minimize the possibility of diabetes.

Conclusions
People in France and probably around the world need a greater awareness not only of the factors putting them at risk of diabetes, but also of the specific signs and symptoms suggesting that they might be developing it.
Is pass-through of the exchange rate to restaurant and hotel prices asymmetric in the US? Role of monetary policy uncertainty
Authors: Alola Uju Violet , Usman Ojonugwa , Alola Andrew Adewale 
Published: January 2023

AbstractThis study examines the exchange rate pass-through to the United States (US) restaurant and hotel prices by incorporating the effect of monetary policy uncertainty over the period 2001:M12 to 2019:M01. Using the nonlinear autoregressive distributed lag (NARDL) model, empirical evidence indicates asymmetric pass-through of exchange rate and monetary policy uncertainty. Moreover, a stronger pass-through effect is observed during depreciation and a negative shock in monetary policy uncertainty, corroborating asymmetric pass-through predictions. Our results further show that a positive shock in energy prices leads to an increase in restaurant and hotel prices. Furthermore, asymmetric causality indicates that a positive shock in the exchange rate causes a positive shock to restaurant and hotel prices. We found feedback causal effects between positive and negative shocks in monetary policy uncertainty and positive and negative shocks in the exchange rate. Additionally, we detected a one-way asymmetric causality, flowing from a positive (negative) shock to a positive (negative) shock in energy prices. Therefore, these findings provide insights for policymakers to achieve low and stable prices in the US restaurant and hotel industry through sound monetary policy formulations.
Foreign exchange trading and management with the stochastic dual dynamic programming method
Authors: Reus Lorenzo , Sepúlveda-Hurtado Guillermo Alexander 
Published: January 2023

AbstractWe present a novel tool for generating speculative and hedging foreign exchange (FX) trading policies. Our solution provides a schedule that determines trades in each rebalancing period based on future currency prices, net foreign account positions, and incoming (outgoing) flows from business operations. To obtain such policies, we construct a multistage stochastic programming (MSP) model and solve it using the stochastic dual dynamic programming (SDDP) numerical method, which specializes in solving high-dimensional MSP models. We construct our methodology within an open-source SDDP package, avoiding implementing the method from scratch. To measure the performance of our policies, we model FX prices as a mean-reverting stochastic process with random events that incorporate stochastic trends. We calibrate this price model on seven currency pairs, demonstrating that our trading policies not only outperform the benchmarks for each currency, but may also be close to ex-post optimal solutions. We also show how the tool can be used to generate more or less conservative strategies by adjusting the risk tolerance, and how it can be used in a variety of contexts and time scales, ranging from intraday speculative trading to monthly hedging for business operations. Finally, we examine the impact of increasing trade policy uncertainty (TPU) levels on our findings. Our findings show that the volatility of currencies from emerging economies rises in comparison to currencies from developed markets. We discover that an increase in the TPU level has no effect on the average profit obtained by our method. However, the risk exposure of the policies increases (decreases) for the group of currencies from emerging (developed) markets.
Awareness, knowledge, attitude, and skills of telemedicine among mental healthcare providers
Authors: Fouad Amira Ahmed , Osman Mahmood Ahmed , Abdelmonaem Yasmin Mohamed Mohamed , Karim Nashwa Ahmed Hussein Abdel 
Published: January 2023

Abstract
Background
Telemedicine plays a vital role in patient-centered healthcare delivery in the diagnosis, management, and development of future treatment plans for chronic diseases.

Results
This study revealed that attitude toward telemedicine was high among the studied mental healthcare providers, while it was average among the other studied variables (awareness, knowledge, and skills). Psychiatrists had a high percentage in the studied variables (awareness, attitude, knowledge, and skills). There were statistically significant differences in the dimensions of the telemedicine questionnaire according to age, profession, and academic degree. There was a statistically significant relation between the levels of awareness, knowledge, and attitude toward telemedicine.

Conclusions
This study concluded that the studied mental healthcare providers had high attitudes while the other studied variables (awareness, knowledge, and skills) were average. Psychiatrists had a high percentage in the studied variables (awareness, attitude, knowledge, and skills), followed by psychologists, while nurses had the lowest level in all studied variables.