bluuebunny/crossref_metadata_2025_split huggingface dataset:
Enhancing Transitions of Care: A Cross-Sectional Observational Study on the Role of Clinical Pharmacists in Transition Management within a Latin American Hospital
Authors: Zavaleta-Monestel Esteban , Rojas-Barrantes Zoe , Díaz-Madriz José Pablo , Arguedas-Chacón Sebastián , Cordero-García Eugenia , Chaverri-Fernández José Miguel 
Published: July 2024

Abstract

Background
The seamless management of transitions of care (TOC) is necessary for patient safety, as it directly correlates with a heightened risk of medication errors and adverse effects. Clinical pharmacists emerge as key stakeholders in optimizing medication management during TOC, specifically during hospital admission and discharge, through the implementation of innovative programs that contribute significantly to the mitigation of medication errors and improve patient satisfaction.
Aim
This study aims to assess the benefits of pharmacist-led interventions in a Costa Rican private hospital's TOC program for polymedicated and high-risk patients during admission and discharge, by identifying and addressing medication errors.
Methods
A cross-sectional observational study was conducted at Clínica Biblica Hospital in San José, Costa Rica, from February 2022 to May 2023 focused on polymedicated patients with chronic therapy and high-risk medications. The TOC Medication Program was specifically implemented to focus on medication reconciliation during admission and discharge processes. Clinical pharmacist documented interventions based on discrepancies found within each patient’s medication and assessed the economic impact of interventions to healthcare personnel during discharge by projecting potential complications in the absence of such interventions, process that was validated by an internist physician.
Results
During the medication reconciliation at admission, medication discrepancies, mostly intentional omissions, were successfully addressed by clinical pharmacist interventions with a 90.2% acceptance rate, during the admission process. At discharge, 18.9% of medications were high-risk, and nearly 40% of discharges were linked to Drug-Related Problems (DRPs), prompting pharmaceutical interventions. The economic analysis indicated potential savings of $21,010.20 during discharge, demonstrating the substantial impact of interventions in preventing emergency service visits, specialist consults, and hospital admissions.
Conclusion
Pharmacist-led TOC programs offer important clinical advantages by effectively preventing and rectifying medication discrepancies. These discrepancies, if left unaddressed, pose a potential threat to patient safety. Moreover, the implementation of such programs demonstrates promising economic benefits.
Exploiting Graph Convolutional Networks for Multi-Label Text Classification: A Novel Link Prediction Framework with Heterogeneous Label-Document Graphs
Authors: Allahgholi Milad , Rahmani Hossein , Soltanzadeh Parinaz , Naebzadeh Aylin 
Published: July 2024

Abstract

Text classification, a fundamental task in natural language processing, has traditionally relied on convolutional neural networks (CNNs). However, the potential of graph convolutional neural networks (GCNs) remains largely untapped. In this study, we explore the application of GCNs to multi-label text classification. Our approach involves constructing a unified text graph that integrates document similarity, document-label associations, and label similarity. The GCN assigns class labels to documents, learns label interrelations, and considers document similarity using the Term Frequency–Inverse Document Frequency (TF-IDF) metric. Additionally, we propose a novel multi-label text classification method by transforming document classification into a link prediction task. In comparison with classic machine learning algorithms which fail to understand the relation between labels our method learns the association between labels. Our empirical findings indicate that our model surpasses base method by 40% with respect to F1 measure and highlight the effectiveness of our proposed approach in tackling multi-label text classification challenges and showcase the importance of considering label relationships in achieving better classification performance.
An atypical presentation of Wernicke-Korsakoff encephalopathy mimicking a left hemispheric stroke: case report
Authors: Butnariu Ioana , Anghel Daniela Nicoleta , Ciobanu Adela Magdalena , Cojocaru Florentina , Antonescu-Ghelmez Dana , Manea Maria Mirabela , Antonescu Florian 
Published: July 2024

Abstract

Background: Wernicke-Korsakoff encephalopathy (WKE) is a metabolic disease caused by vitamin B1 deficiency that predominantly affects alcoholic patients. Its clinical picture is characterized mainly by altered mental status with memory deficits, ophthalmoparesis, and ataxia, although other clinical manifestations may also be present.The current case presents certain clinical difficulties regarding the diagnosis when confronting an atypical presentation of a classical disease in an acute setting when a decision to administer an intravenous thrombolytic agent needs to be made.
Case presentation: This case involves a young male patient, with a history of chronic alcohol abuse, malnourished, and in poor general health, who presented with right-sided hemiparesis and language disturbance of acute onset, suggesting a left hemispheric stroke. The psychological examination was difficult due to a mix of confusion and aphasia, the latter being challenging to assess as the patient had a dismissive and highly deflective attitude toward the examiner. The initial cerebral computed tomography (CT) scan was unremarkable, in line with early imaging in ischemic stroke patients. On subsequent magnetic resonance imaging (MRI), lesions were observed in the medullo-pontine tegmentum, around the aqueduct of Sylvius, in the mamillary bodies, in the medial thalami, but also extensive bilateral cortical involvement in the frontal lobes. After receiving intravenous vitamin B1 treatment, the patient made a slow, but full, recovery, after eight weeks of hospitalization, and was subsequently transferred to a psychiatry clinic for treatment of his addiction.
Conclusion: Atypical WKE can closely mimic stroke, usually akin to a vertebro-basilar lesion. Our case is the first report we are aware of WKE feigning a left hemispheric stroke with aphasia and right hemiparesis. This has implications for the ER doctor, neurologist and the stroke specialist when considering an emergency differential diagnosis for a patient with an initial normal CT scan, especially in regard to deciding acute therapy.
Waist-Height ratio Highlights Detrimental Risk for Olanzapine Associated Weight Gain Earlier than Body Mass Index.
Authors: Ibrahim Badamasi Mohammed , Tajudeen Abiola , Shakirat Owolabi Desola , Margaret Ojeahere Isioma , yusuf Asuku Abdullahi , Mujittapha Sirajo Umar , Mustapha Gudaji Ibrahim 
Published: July 2024

Abstract

Patients with psychotic mental disorders, including schizophrenia, often exhibit poor dietary choices and low levels of physical activity, contributing to a higher prevalence of obesity compared to the general population. This study recruited 100 patients diagnosed with schizophrenia who had been receiving Olanzapine antipsychotic medication for at least three months, alongside 100 healthy volunteers for comparison. The average age of the schizophrenia patients was 35.56 ± 9.95 years, with a higher proportion of females in both groups. Our findings revealed significantly higher rates of abnormal Body Mass Index (BMI) (X² = 17.06, P = 0.000036; OR = 4.58, CI = 2.16–9.74) and abnormal waist-height ratio (WHtR) (X² = 35.57, P = 2.46E-9; OR = 6.37, CI = 3.39–12.00) among the schizophrenia patients compared to the healthy volunteers. Notably, BMI identified 43.3% of the schizophrenia patients as having concerning weight changes, whereas WHtR identified 64.7%, indicating that WHtR is a more sensitive measure. This discrepancy means that an additional 21.4% of schizophrenia patients would benefit from weight management guidance based on WHtR rather than BMI. Our results underscore the critical importance of WHtR in assessing adiposity among schizophrenia patients treated with Olanzapine, highlighting its value as a tool for monitoring and managing cardiometabolic risks in this population.
Fish Image Classification and Prediction Using Compact Convolutional Transformers
Authors: Hossain Mir Tahmid , Abir Md. Ismiel Hossen , Ali Md Nawab Yousuf 
Published: July 2024

Abstract

In this study, we propose a new method for fish image classification using Compact Convolutional Transformers (CCT). CCTs are a variation of the transformer architecture, which have been successful in natural language processing tasks. Our study begins with an in-depth background analysis, exploring the current state-of-the-art techniques in fish image classification and identifying potential gaps in the existing methodologies. We highlight the limitations of traditional convolutional neural networks (CNNs) in handling large-scale fish image datasets, such as variations in fish species. We introduce the Compact Convolutional Transformer, a fusion of Convolutional Neural Networks and Transformer architectures. We break down the methodology into distinct subsystems, encompassing a feature extraction module using CNNs, and a context modeling module employing the Transformer. By incorporating compact convolutional layers, CCTs are able to effectively capture local spatial information in images, while still maintaining the ability to model long-range dependencies. We assess the performance of our proposed method on a dataset of fish images and compare it to traditional convolutional neural networks and other state-of-the-art fish image classification methods. Our experiments show that the CCT model succeeds an accuracy of 98.6% on the test dataset. Our approach is a promising solution for fish image classification, and might be used to more associated tasks such as fish counting, fish identification and fish prediction.
Unified Efficient Fine-Tuning Techniques for Open-Source Large Language Models
Authors: Zhang Yulin , Li Yanhua , Liu Junhan 
Published: July 2024

Abstract

Natural language processing has been revolutionized through the development of powerful large language models capable of understanding and generating human-like text, yet fine-tuning these models for specific tasks remains a computationally demanding process. Our novel approach to efficient fine-tuning, utilizing techniques such as adapter layers, Low-Rank Adaptation (LoRA), and layer-wise freezing, offers a significant reduction in computational overhead while maintaining or enhancing model performance. Extensive experiments with the Llama model demonstrated notable improvements in accuracy, F1-score, precision, and recall across multiple tasks, alongside marked reductions in GPU usage, training time, and memory consumption. The fine-tuned model also exhibited enhanced adaptability and generalization capabilities, performing well on new and unseen tasks, thus proving the efficacy and practical benefits of our methods. The contributions of this research provide valuable insights into optimizing large language models, broadening their applicability, and making advanced natural language processing techniques more accessible and efficient.
iDOM: Statistical analysis of dissolved organic matter based on high-resolution mass spectrometry
Authors: Meng Fanfan , Hu Ang , Jang Kyoung-Soon , Wang Jianjun 
Published: July 2024

Abstract

Dissolved organic matter (DOM) is a complex mixture of thousands of molecules and plays crucial roles in aquatic and terrestrial ecosystems. The study of DOM has been advanced and accelerated by developments of instrumental and statistical approaches over the last decade. Due to the complexity of molecular data and underlying ecological mechanisms, there are substantial challenges for statistical analysis, visualization, and theoretical interpretation. Here, we developed an R package iDOM with functions for the basic and advanced statistical analyses and the visualization of DOM derived from Fourier transform ion cyclotron resonance mass spectrometer (FT-ICR MS). The iDOMpackage could handle various data types of DOM, including molecular compositional data, molecular traits, and unclassified molecules (that is, dark matter). It integrates additional explanatory data types such as environmental and microbial data to explore the interactions of DOM with abiotic and biotic drivers. To illustrate its use, we presented case studies with an example dataset of DOM under experimental warming. We included the case studies of basic functions for molecular trait calculation, molecular class assignment, and the compositional analyses of chemical diversity and dissimilarity. We further showed case studies with advanced functions for DOM assemblages, such as quantifying and exploring their assembly processes, the effects of dark matter on their ecological networks, and the associations between DOM and microbes under warming. We expect that iDOM will serve as a comprehensive pipeline for DOM statistical analyses and bridge the gap between chemical characterization and ecological interpretation.
Effect of the type of anesthesia on early movement after hip and knee joint replacement operations: A comparative study between general and spinal anesthesia
Authors: alatmah Mohammad amin alsaleh , kayed Fadi mohammed , Raqamani Najwa 
Published: July 2024

Abstract

Introduction
The type of anesthesia affects postoperative patient outcomes (morbidity and mortality, length of hospital stay), as spinal anesthesia is associated with a shorter length of stay in the hospital and fewer complications compared to general anesthesia. Early movement after joint surgery is essential for optimal rehabilitation and to reduce Complications. Our study aimed to determine the effect of the type of anesthesia on early movement after hip and knee replacement operations.
Methods
Cross-sectional study, conducted in Damascus Hospital (Al-Mujtahid) from 4/4/2024 to 6/10/2024. Patients were studied in the Department of Orthopedic Surgery, and the number of patients studied was 100 patients (undergoing general and spinal anesthesia).
Results
Out of 100 patients, the percentage of males was (63%) compared to females (37%). Their ages ranged from 30–89 years, with an average age of 73.41 years. Type of anesthesia was spinal anesthesia (51%) versus general anesthesia (49%). Type of surgery, “hip arthroplasty” (62%) versus “knee arthroplasty” (38%). The time for return to movement was as follows: “after 6 weeks” (44%), “after a day” (38%), “after a week” (18%).
Conclusion
We found that operations performed under spinal anesthesia have more positive effects compared to general anesthesia, in terms of the intensity of pain immediately after surgery, patients not suffering from annoying symptoms, and an early return to movement.
Suppressed Blinking and Pure Single-Photon Emission in Near-Infrared InAs Colloidal Quantum Dots with Strong Exciton Confinement
Authors: Yang Yi , Li Jialu , Zhai Jingwen , Li Binghan , Zhang Jiancheng , Chen Zhihao , Xiao Liantuan , Lai Runchen , Zeng Zaiping , Zhang Guofeng , Ji Botao 
Published: July 2024

Abstract

Colloidal quantum dots (QDs) have emerged as potential single-photon emitters for quantum information processing due to their high color tunability and scalable production. However, strong Auger non-radiative recombination, while enabling photon antibunching in single QDs, also causes fluorescence blinking when QDs become charged. This poses a significant challenge in achieving both blinking-free emission and high-purity single-photon emission. Here, we address this issue with highly bright near-infrared (NIR) emitting InAs/InP/ZnSe/ZnS QDs, where the ZnSe layer acts as a confining layer to create a straddling band alignment. Single-QD measurements reveal that QDs with a thin ZnSe shell exhibit frequent Auger-related blinking. In contrast, increasing the thickness of the ZnSe shell reduces photo-charging by isolating excitons from the surface, significantly suppressing blinking. Importantly, these thick-shell QDs maintain high single-photon purity, with a g(2)(0) value below 1%. This results from strong exciton confinement in the cores, confirmed by an ultrafast biexciton Auger decay rate. These findings offer a solution to achieve non-blinking characteristics without compromising single-photon purity, highlighting the potential of InAs-based QDs as efficient quantum light sources for telecommunication applications.
Прогностическое значение цитотоксических CD8-позитивных Т-лимфоцитов реактивного микроокружения опухоли при диффузной В-крупноклеточной лимфоме
Authors: Ванеева Елена Викторовна , Росин В. А. , Дьяконов Д. А. , Глубоковских Н. В. 
Published: July 2024

AIM. To assess the prognostic value of cytotoxic CD8-positive Т-lymphocytes of the reactive tumor microenvironment in diffuse large B-cell lymphoma (DLBCL).
MATERIALS & METHODS. The study enrolled 124 patients with newly diagnosed DLBCL. All patients received the standard R-CHOP first-line immunochemotherapy. Immunochemistry and morphometry were used to assess the relative count of CD8-positive Т-lymphocytes in the biopsy samples of lymph nodes or other tumor tissues. In each biopsy sample, 20 fields of view were analyzed to assess the mean relative count of CD8-positive Т-lymphocytes in the reactive tumor microenvironment. Т-cells were counted by double-blind technique. Patients were aged 23–80 years (median 59 years); there were 62 women and 62 men.
RESULTS. Obtained by ROC-analysis, the threshold value of the CD8-positive Т-lymphocyte count in the reactive tumor microenvironment was 13 %. The subthreshold relative count of cytotoxic CD8-positive Т-lymphocytes (≤ 13 %) was associated with extranodal lesions in DLBCL patients as well as with the lack of complete response to the R-CHOP first-line therapy and worse progression-free (PFS) and overall survival (OS) rates. In the group with the above-threshold (> 13 %) count of CD8-positive Т-lymphocyte, the 5-year PFS was 60 % (median not reached), in the group with the subthreshold count it was 45.3 % (median 39 months; p = 0.036); the 5-year OS was 78.3 % (median not reached) and 45.3 % (median 40 months) in the groups with the above- and subthreshold CD8+ T-cell counts, respectively (p = 0.001).
CONCLUSION. The results of the present study clearly indicate the need to assess the count of cytotoxic CD8-positive Т-lymphocytes of the reactive tumor microenvironment in DLBCL patients as early as on diagnosis verification. It is likely that this approach will allow clinicians to more accurately predict the course of DLBCL.
REFLEXÕES NO CAMPO DA CIÊNCIA DA INFORMAÇÃO SOBRE A CONSTRUÇÃO DA MEMÓRIA SOCIAL NAS REDES DIGITAIS
Authors: Silva Campos Erica , Marques Gerlin Meri Nadia , Farias de Moraes Margarete , Da Silva Luiz Carlos 
Published: July 2024

Researchers in the field of Information Science have made efforts to understand the processes of construction of social memory in the context of social networks, resulting in research with multiple perspectives and differentiated areas, which have great scientific and social relevance. Having said that, the objective was to analyze the frequency of the approach to the concept of social memory in digital networks and the issues related to this theme that are of interest to researchers in this science. This is an exploratory research of a qualitative and quantitative nature, using the content analysis technique as inspiration for the composition of the methodology, and, thus, for the creation of analysis categories so that it was possible to identify variations in terms used for the concepts “patrimony” and “memory”, and also making it possible to understand how these concepts have been debated by Information Science researchers. Studies were found that address different variations of the concepts of memory and patrimony in contemporary times and reflect on the informational phenomena that permeate the construction of social memory in digital media. The availability of information through the sharing of digital collections from libraries, museums, personal, public and institutional archives are constituents of digital heritage and emerge as channels for maintaining social memory and building knowledge. Faced with this, it explains the need to preserve digital heritage and improve content description mechanisms, implement metadata standards in the processes of describing and retrieving information in digital media. It also addresses the survey of ethical issues such as the social responsibility of citizens in the production and sharing of information on the web, much of which still needs to be discussed.

Keywords: memory; social memory; patrimony; social networks.
CDK1 Acts as a Prognostic Biomarker Associated with Immune Infiltration in Pan-Cancer, Especially in Gastrointestinal Tumors
Authors: Shen Jiemiao , Gong Xing , Tan Siyue , Zhang Yuxin , Xia Rong , Xu Shuyu , Wang Shaozhuo , Zhou Haojie , Jiang Yinyue , Zhao Tie , Zhang Yi , Tang Hua , Wang Chao 
Published: July 2024

Objective:
Cyclin-dependent kinase 1 (CDK1) regulates the cell cycle and is highly expressed
in most tumors. CDK1 expression has been associated with poor disease prognosis. This
study aimed to identify the prognostic value of CDK1 in pan-cancer and investigate the association
between CDK1 expression and immune cell infiltration.

Methods:
CDK1 expression and its correlation with prognosis in pan-cancer were analyzed using
online databases. Immune infiltration was assessed by ESTIMATE and CIBERSORT algorithms.
We then evaluated the relationship between CDK1 expression and tumor mutational burden
(TMB), microsatellite instability (MSI), or tumor-infiltrating immune cells. In addition, we
performed the co-expression analysis of immune-related genes and GO analysis with CDK1 expression
in pan-cancer. Finally, we compared the CDK1 expression profile with the immune-related
genes in 30 pairs of clinical gastrointestinal tumor samples.

Results:
Our analysis demonstrated overexpression of CDK1 in most tumor tissues, especially in
gastrointestinal tumors. The high expression of CDK1 was associated with poor overall survival,
disease-specific survival, disease-free interval, and progression-free interval in kidney renal papillary
cell carcinoma (KIRP), liver hepatocellular carcinoma (LIHC), lung adenocarcinoma (LUAD),
pancreatic adenocarcinoma (PAAD), prostate adenocarcinoma (PRAD), and sarcoma (SARC).
Besides, CDK1 expression was significantly associated with TMB in 22 cancer types and
MSI in 8 cancer types as well as greater frequencies of MSI-high (MSI-H) status and high tumor
mutational burden (TMB-H) in uterine corpus endometrial carcinoma (UCEC), stomach adenocarcinoma
(STAD), sarcoma (SARC), rectum adenocarcinoma (READ), mesothelioma (MESO),
head and neck squamous cell carcinoma (HNSC), and colon adenocarcinoma (COAD). In addition,
CDK1 expression correlated with immune cell infiltrating levels, such as M0, M1, or M2
macrophages, memory CD4 T cells, T follicular helper cells, and naive B cells. Our data showed
that CDK1 was remarkably correlated with 47 immune-related and immune checkpoint genes in
many cancer types. Furthermore, CDK1 was up-regulated in gastrointestinal tumor samples, especially
in gastric cancer and intestinal cancer. CDK1 was positively correlated with IDO1 in gastric
cancer and PD-1 in intestinal cancer.

Conclusion:
Taken together, our data demonstrated the roles of CDK1 in oncogenesis and metastasis
in pan-cancer. Thus, CDK1 is a potential prognostic biomarker and a target for tumor immunotherapy.