bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identifying heterogeneous subgroups of systemic autoimmune diseases by applying a joint dimension reduction and clustering approach to immunomarkers
Authors: Chang Chia-Wei , Wang Hsin-Yao , Lin Wan-Ying , Wang Yu-Chiang , Lo Wei-Lin , Lin Ting-Wei , Yu Jia-Ruei , Tseng Yi-Ju 
Published: April 2024

Abstract

Background
The high complexity of systemic autoimmune diseases (SADs) has hindered precise management. This study aims to investigate heterogeneity in SADs.
Methods
We applied a joint cluster analysis, which jointed multiple correspondence analysis and k-means, to immunomarkers and measured the heterogeneity of clusters by examining differences in immunomarkers and clinical manifestations. The electronic health records of patients who received an antinuclear antibody test and were diagnosed with SADs, namely systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), and Sjögren’s syndrome (SS), were retrieved between 2001 and 2016 from hospitals in Taiwan.
Results
With distinctive patterns of immunomarkers, a total of 11,923 patients with the three SADs were grouped into six clusters. None of the clusters was composed only of a single SADs, and these clusters demonstrated considerable differences in clinical manifestation. Both patients with SLE and SS had a more dispersed distribution in the six clusters. Among patients with SLE, the occurrence of renal compromise was higher in Clusters 3 and 6 (52% and 51%; p < 0.001) than in the other clusters. Cluster 3 also had a high proportion of patients with discoid lupus (60%; p < 0.001) than did Cluster 6 (39%). Patients with SS in Cluster 3 were the most distinctive because of the high occurrence of immunity disorders (63%) and other and unspecified benign neoplasm (58%) with statistical significance compared with the other clusters (all p values < 0.05).
Conclusions
The immunomarker-driven clustering method could recognise more clinically relevant subgroups of the SADsand would provide a more precise diagnosis basis.
The digital witness: Exploring gestural misinformation in tele-forensic interviews with 5-8-year-old children
Authors: Johnstone Kirsty L. , Martin Chris , Blades Mark 
Published: April 2024

Abstract

In 2016, approximately half of children aged 2–17 worldwide experienced child abuse. This number increased during the COVID-19 pandemic, with timely face-to-face eyewitness interviews disrupted due to social distancing. While live-link interviews have been successful in legal and medical contexts, its potential for eyewitness interviews remains insufficiently studied, particularly in terms of non-verbal misinformation. This study explored tele-forensic interviewing (tele-FI) as an alternative to face-to-face interviews, with a focus on the gestural misinformation effect (GME). Forty-seven children were recruited ranging in age from 5- to 8-years-old (M = 6 years 11 months). Comparisons to face-to-face conditions were based on prior work by the author (N = 63, M = 7 years 2 months). Results find support for the GME during tele-FI, with 1.23 misinformation details recorded on average and tele-FI showing a similar response pattern as face-to-face interviews. Accuracy was shown to be comparable in tele-FI (M = 16.21) compared to face-to-face interviews (M = 14.02), with a notable increase in the amount of relevant information provided in the tele-FI condition. Age did not affect interview outcomes. This study provides further evidence for tele-FI as a viable alternative to face-to-face interviews and offers the first exploration of the GME in tele-FI. Discussion focuses on the benefits of tele-FI and the implications for police interview guidelines.
Minimizing control dependencies of pipelining through optimizing branch selection
Authors: Gao Fei , Shao Jingbo 
Published: April 2024

Abstract

In modern computer systems, processors achieve high performance through pipelining. Therefore, the execution efficiency of the pipelining is one of the critical factors impacting processor performance. The main factors that impact pipelining efficiency are data hazards caused by data dependencies and control hazards caused by control dependencies. Regarding the control hazards present in pipelining, although a few technologies are mentioned in the literature for addressing them, they frequently require significantly high latency and may not guarantee optimal quality. This paper introduces the Functional Function (FF), derived from the Fork function; by selectively executing branch instructions based on previous calculation results, the Functional Function can minimize control dependencies in pipelining and enhance the utilization of the processor pipelining via optimizing branch selection. The Intel VTune Profiler program analyzer was employed for data collection and analysis during the experiment to facilitate an unbiased comparison with existing methods. The experimental results indicate that the Functional Function significantly outperforms the existing methods, primarily reflected in the Pipeline utilization rate, CPI rate, and Bad Speculation rate. Furthermore, the utilization of the pipelining is enhanced by approximately 20%, accompanied by a nearly 1.5% increase in branch prediction accuracy compared with existing methods.
Gut Microbiota Shifts from Onset to Remission in Immune Checkpoint Inhibitor-Induced Enterocolitis: A Case Report
Authors: Hirata Yuki , Tanaka Yoshiki , Yokota Haruka , Ohno Hiroshi , Nishida Koji , Shimizu Hikaru , Mizuta Noboru , Nakazawa Kei , Koshiba Ryoji , Kakimoto Kazuki , Miyazaki Takako , Nakamura Shiro , Nishikawa Hiroki 
Published: April 2024

Abstract

Background: Immune checkpoint inhibitors (ICIs) are crucial in cancer treatment; however, they carry the risk of immune-related adverse events (irAEs), such as enteritis.
Case presentation: This study investigated the role of the gut microbiotaduring the onset and remission of irAE enteritis in a patient with stage IV melanoma undergoing anti-PD-1 and anti-CTLA-4 therapy. Following commencement of ICI treatment, the patient developed severe diarrhea and was diagnosed with grade 3 irAE enteritis. Steroid and probiotic treatments provided swift symptom relief and remission, as confirmed by reduced fecal calprotectin levels and gastrointestinal imaging. Microbiota diversity analysis conducted via 16S rRNA gene sequencing identified a decrease in Streptococcusprevalence with improvementin enteritis symptoms. Conversely, genera Fusobacterium, Faecalibacterium, Bacteroides, Prevotella, and Bifidobacteriumshowed increased representation after remission. These genera are associated with anti-inflammatory properties and fibrous substrate degradation, aiding gut health. Immunological assessment demonstrated fluctuations in cytokine expression and the modulation of costimulatory molecules, aligning with therapeutic interventions and microbiota alterations.
Conclusions: Our findings indicate a significant correlation between gut microbiota and immune responses in irAE enteritis. This underscores the potential utility of microbiome profiling in predicting irAE occurrence and in providing treatment strategies, thereby promoting a more comprehensive approach to managing the adverse effects of ICIs.
MassiveFold: unveiling AlphaFold’s hidden potential with optimized and parallelized massive sampling
Authors: Raouraoua Nessim , Mirabello Claudio , Véry Thibaut , Blanchet Christophe , Wallner Bjorn , Lensink Marc , Brysbaert Guillaume 
Published: April 2024

Abstract

Massive sampling in AlphaFold enables access to increased structural diversity; in combination with its powerful confidence ranking, this unlocks elevated modeling capabilities for monomeric structures and foremost for protein assemblies. However, the approach struggles with GPU cost and data storage. MassiveFold removes these restraints as an optimized and customizable version of AlphaFold that runs predictions in parallel, offering the full benefit of enhanced sampling for protein structure and assembly modeling.
Identification of core, conditional and crosstalk components of tomato heat stress response using integrative transcriptomics and orthology
Authors: Psaroudakis Dennis , Khayer Abul , Aiyesa Leke V. , Bergau Nick , Tissier Alain , Lu Yunlong , Wigge Philip A. , Israeli Alon , Teboul Naama , Bräutigam Andrea , Szymański Jędrzej J. 
Published: April 2024

Abstract

Heat stress significantly affects global agricultural yield and food security and as climate change is expected to increase the frequency and severity of heatwaves, this is a growing challenge. Tomato plants are prone to heat stress exposure both in the field and in greenhouses, making heat stress resilience a key trait for breeding. While the identification of heat-associated genes has been addressed in multiple individual studies, the quantitative integration of data from these studies holds potential for low-cost, high-value knowledge gain about the complex network of actors involved in heat stress response mechanisms. To address this challenge, we have compiled a comprehensive data resource containing both novel and publicly available RNA-seq data on tomato in heat stress spanning multiple tissues, genotypes, and levels and durations of stress exposure. We show that in each individual dataset the large majority of responses originates from an interaction between the stimulus and the specific experimental setup. Conversely, by intersecting differentially expressed genes across experiments, we identify a tomato-specific core response of only 57 genes encoding heat shock proteins, transcriptional regulators, enzymes, transporters and several uncharacterized proteins. 17 of these genes lie within previously identified genetic loci associated with heat tolerance traits. Applying the same approach to all publicly available RNA-seq data on drought and salt stress in tomato, we find large overlaps in the conditional parts of the stress responses but the robust and sustained core responses are mostly stress-specific. Finally, we show that the core responses to these stresses are enriched with evolutionarily ancient genes with orthologs across all domains of life and that the heat core response genes form identifiable co-evolving clusters within the Streptophyta. Our study exemplifies the importance and advantage of using FAIR public data to interpret results of new stress experiments, and provides tools to perform such analyses in a relatively short time.
Understanding Local Perspectives on Climate Change and Its Impacts on Small-Scale Fishing Communities in Honda Bay, Palawan, Philippines
Authors: Vicente Jesusito , Mecha Niño Jess Mar , Jontila Jean Beth 
Published: April 2024

Climate change's adverse impacts are already evident, particularly in coastal areas. However, local perception that is essential in formulating policies for mitigating its impacts remains limited. Thus, this study evaluated the level of perception of small fishing communities on climate change and its impacts on livelihood and the environment. The data were obtained using a face-to-face survey with the aid of a structured questionnaire. They were interpreted and analyzed using the Likert point scale, descriptive statistics, and chi-square. A total of 308 male fisherfolks participated in the survey. Majority belong to age 51-60 years old (38%) and 61 years old and above (32%). Most of them (65%) finished elementary and generally (94%) rely on fishing for main source of living. As for income, 47% earned an estimated monthly income of Php 2,501-5,000 and 28% got Php 5,001-7,500. Most of the respondents are full-time fishers (89%) for more than 11 years (87%), and fishing within the municipal water (92%). Majority (90%) have an idea about climate change as reflected by their very high score in Likert Perception (24.3±2.3%). The climate change impacts perceived by the respondents include: increasing sea surface temperature (87%); fish are sensitive to changing climate (87%); and fossil fuel consumption contributes to climate change (84%). They said they got the information from TV/ Radio (99%) and social media (10%). The age (p-value < 0.0032) and source of information (p-value < 0.0348) are among the variables with significant relationship to the perception of respondents on climate change impacts. In total, it appears that majority of fishers are aware of the impacts of climates. It is suggested that effective management actions, such as emergency preparedness schemes and livelihood diversification should be explored to address the specific needs of fishing communities that are vulnerable to the impacts of climate change. Furthermore, an ecosystem-based approach that focuses on socio-economic dynamics and climate-induced changes in assessments and management is essential for the sustainable use of fisheries resources amidst the changing climate.
Gallium Sulphide (Ga2S3): Green, Reusable, and Efficient Nanocatalyst for
the Synthesis of 3,3-(arylmethylene)-bis-(4-hydroxycoumarin) Under
Solvent-free Condition
Authors: Parhad Amol R. , Aute Dilip S. , Gadhave Anil G. , Uphade Bhagwat K. 
Published: April 2024

:
Our current work's primary goal is to create novel heterogeneous gallium sulfide (Ga2S3)
nanocatalysts and investigate their catalytic activity in the synthesis of 3,3-(arylmethylene)-bis-(4-
hydroxycoumarin) derivatives without use of solvent. FT-IR, XRD, SEM, and EDX analysis characterized
the synthesized gallium sulfide (Ga2S3) nanomaterial catalysts. This method's main benefits
are its short reaction time, solvent-free conditions, extremely mild reaction conditions, good product
yield, and, most importantly, its ability to recover catalysts after at least four runs.
Synthetic Protocols, Structural Activity Relationship, and Biological Activity of Piperazine and its Derivatives
Authors: Faizan Md , Kumar Rajnish , Mazumder Avijit , Salahuddin  , Kukreti Neelima , Kumar Arvind , Chaitanya M.V.N.L. 
Published: April 2024

:
The versatile basic structure of piperazine allows for the development and production of
newer bioactive molecules that can be used to treat a wide range of diseases. Piperazine derivatives
are unique and can easily be modified for the desired pharmacological activity. The two opposing
nitrogen atoms in a six-membered piperazine ring offer a large polar surface area, relative structural
rigidity, and more acceptors and donors of hydrogen bonds. These properties frequently result in
greater water solubility, oral bioavailability, and ADME characteristics, as well as improved target
affinity and specificity. Various synthetic protocols have been reported for piperazine and its derivatives.
In this review, we focused on recently published synthetic protocols for the synthesis of the
piperazine and its derivatives. The structure-activity relationship concerning different biological
activities of various piperazine-containing drugs was also highlighted to provide a good understanding
to researchers for future research on piperazines.
Cerium Oxide Nanoparticles Synthesis using Alhagi Maurorum Leaf Extract and
Evaluation of Their Cytotoxic Effect on Breast Cancer Cell Lines and Antibacterial
Effects
Authors: Hosseini Sayedeh Azimeh , Khatami Mehrdad , Asadollahi Amirkian , Yaghoobi Hajar 
Published: April 2024

Introduction:
Green synthesis offers a fast, simple, and economical method for producing metallic
nanoparticles.The basis of this method is to obtain nanoparticles using natural materials, such as plants, fungi, and
bacteria, instead of harmful and expensive chemical-reducing agents. In this study, CeO2NPs were produced
using Alhagi maurorum extract, and their anticancer and antibacterial activities were evaluated.

Methods:
Alhagi maurorum extract was prepared according to a previously described protocol, and CeO2NPs
were synthesized from the salt of this extract. The resulting nanoparticles were characterized using Transmission
electron microscopy (TEM), scanning electron microscope (SEM), and X-ray diffraction (XRD) techniques. The
antibacterial and cytotoxic effects of the nanoparticles were measured by MIC, MBC, and MTT assays, respectively.
The results were analyzed using one-way analysis of variance (ANOVA) using Prism software.

Results:
The MTT assay on breast cancer cell lines showed that the cytotoxic effect of CeO2NPs on cell lines was
concentration-dependent. In addition, this nanoparticle was more effective against Gram-positive bacteria.

Conclusion:
These nanoparticles can be used as cancer drug delivery systems with specific targeting at low concentrations
in addition to anticancer treatments. It can also have biological and medicinal applications, such as
natural food preservation and wound dressing.
An Overlooked Disease: Minimal Autonomous Cortisol Secretion (MACS).
A Narrative Review
Authors: Farah Stephanie , Nasr Leah , Eid Fares Jocelyne 
Published: April 2024

Background:
A far more common disease than Cushing’s syndrome is subclinical
hypercortisolism or mild autonomous cortisol secretion (MACS), with an overall prevalence of
0.2-2%.

Objective:
This review aims to shed light on the prevalence, screening and diagnostic criteria,
comorbidities, and management of Mild Autonomous Cortisol Secretion (MACS).

Methods:
Studies eligible targeted MACS regarding prevalence, screening, comorbidities, management,
and clinical outcome. This is a narrative-review. IRB approval was not needed.

Results:
The 1 mg Dexamethasone suppression test (DST) remains the first screening test.
MACS is associated with adverse cardiometabolic and renal outcomes, osteoporosis and osteopenia,
immunodeficiency, depression, coagulopathy, and sarcopenia. Surgery is the gold standard
treatment. Medical therapy is recommended when surgery is contraindicated or not feasible.
Clinically silent hypercortisolism is a frequent entity that necessitates early detection and treatment.
The production of cortisol should be looked at as a spectrum where subtle, undetectable
levels can still be produced. They know its association with adverse health outcomes.

Conclusion:
MACS is no longer considered an asymptomatic disorder; repeated hormonal and
functional tests are crucial to prevent multiorgan damage.
Nano-Based Theranostics Approach in the Management of Cancer:
Review
Authors: Singh Sonia , Chauhan Vandana , Barik Piyali 
Published: April 2024

Abstract:
Cancer is a prevalent and potentially fatal disease worldwide. The proliferation of abnormal
cells and uncontrolled cellular growth characterizes cancer. Cancerous tumors exhibit distinct
microenvironments characterized by a deficient lymphatic drainage system and aberrant blood supply.
Various medications and diagnostic systems exist for cancer treatment, but they all have inherent
limitations and undesirable consequences. Consequently, the achievement of effective cancer detection
and treatment remains challenging. Theranostics nanoparticles are becoming increasingly
popular in nano drug delivery systems. These nanoparticles can diagnose and treat tumors, making
them a promising approach in the field. They are designed to be small in size, allowing them to be
effective in delivering drugs to targeted areas. Furthermore, these nanoparticles can fundamentally
transform the identification and management of several ailments, including cardiovascular disorders
and infectious diseases. Such nanoparticles possess dual capabilities, functioning as therapeutic
agents and diagnostic tools. They can transport medicinal substances, such as medications, nucleic
acids, or therapeutic proteins, and include substances that can be used for imaging, such as contrast
agents or fluorescent dyes, to enable non-invasive diagnostics and monitoring of the effectiveness of
the treatment. These techniques can be employed for diagnostic purposes to identify, locate, and determine
the extent of disorders using imaging modalities such as magnetic resonance imaging, computed
tomography, positron emission tomography, and fluorescence imaging. These nanoparticles
can deliver therapeutic compounds to specific locations accurately during therapy. This leads to improved
effectiveness of the treatment, decreased adverse effects, and better patient outcomes. They
offer a potential nanomedicine approach by providing diagnostic and therapeutic capabilities for disease
diagnosis and treatment. Theranostics nanoparticles have distinct characteristics and adaptability,
which can transform the healthcare sector by facilitating personalized and precise medical treatments.
Lipid-based Drug Delivery Systems: A Promising Approach for Overcoming Bioavailability and Solubility Challenges in Drug Development
Authors: Gupta Akash , Mittal Vishnu , Sharma Anjali , Barak Aashima , Arora Deepshi 
Published: April 2024

:
For an extended period, lipid-based drugs have been employed to enhance the effectiveness
of medications. Nevertheless, the notion of using lipids as carriers for drugs remains a fascinating
concept. Lipid-based drug delivery systems (LBDDS) represent a cutting-edge technology
aimed at tackling the challenges associated with bioavailability and solubility of drugs that are not
readily soluble in water.

:
The primary objective of lipid-based medicine formulation is to increase its bioavailability. The
use of lipids in medicine administration is a feasible concept even if it is no longer new. LBDDS
is one of the newest techniques for resolving problems with low water-soluble medication solubility
and bioavailability. Pharmaceuticals may be marketed successfully formulated using these formulations
for parenteral, pulmonary, topical, or oral administration.

:
This article functions as a comprehensive review of existing literature on LBDDS. It involves a
thorough investigation across various databases, including PubMed, Scopus, and Web of Science,
with the aim of identifying relevant research studies.

:
LBDDS are an effective method for making poorly soluble medications (BCS Classes II & IV)
more soluble and more bioavailable. This review article aims to draw attention to the importance
of distinguishing between SMEDDS and SNEDDS, as well as the roles played by the many components
that are needed for creating LBDDS. It also provides motivation and guts to expand the
use of LBDDS on a pilot and industrial scale.

:
Medication delivery systems based on lipids provide a wide range of possible applications by improving
the bioavailability of some poorly soluble medicines and enabling the creation of physiologically
well-tolerated medication formulations. Comprehending the physicochemical properties
of molecules, fatty excipients, and gastrointestinal digestion is crucial for the creation of these systems.
In conclusion, these delivery methods seem to have a bright future.
Pro-Environmental Behaviors in Higher Education: A Contextualized
Planned Behavior Perspective
Authors: Kitheka Bernard M. 
Published: April 2024

Background::
Institutions of higher learning are critical avenues for addressing issues
pertaining to climate stability and environmental sustainability. College students, as future leaders,
can play a crucial role in solving the planet’s most pressing problems if they have the right
information and a behavioral orientation that promotes positive environmental outcomes

Objectives::
The current study evaluates pro-environmental behaviors potentially moderated by
knowledge, attitudes, motivations, and contextual factors for college students. It also evaluates
what categories of environmentally friendly behaviors students elect to engage in.

Methods::
Quantitative data were collected using an online questionnaire survey. Data were analyzed
using SPSS statistical software.

Results::
Findings show a weaker influence by most stand-alone factors but a stronger cumulative
effect when all the variables are considered together. Data also indicates student’s inclinations to
certain environment-friendly behaviors more than others.

Conclusion::
Study findings could be used to change university sustainability policies and curricula
to enhance environmental consciousness and inspire participation in green initiatives among
students. The study contributes to existing literature on sustainability in higher education institutions
in the United States.