bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predictors for Temporary Stomas Non-Closure among Non-Metastatic Rectal Cancer Patients Undergoing Curative Resection: a Retrospective Analysis
Authors: Hsu Chia-Chien , Tsai Wen-Sy , Tsai Tzong-yun , You Jeng-Fu , Yeh Chien-Yuh , Hsieh Pao-Shiu , Tang Reiping , Huang Shu-Huan 
Published: February 2024

Abstract

Background:
The primary treatment for non-metastatic rectal cancer is curative resection. However, sphincter-preserving surgery may lead to complications. This study aims to develop a predictive model for stoma non-closure in rectal cancer patients who underwent curative-intent restorative proctectomy surgery.
Methods:
Consecutive patients diagnosed with non-metastatic rectal cancer between January 2005 and December 2017, who underwent proctectomy, were retrospectively included in the Chang Gung Memorial Foundation Institutional Review Board. A comprehensive evaluation and analysis of potential risk factors linked to stoma non-closure were performed.
Results:
Out of 956 patients with temporary stomas, 10.3% (n = 103) experienced non-closure primarily due to cancer recurrence and anastomosis-related issues. Through multivariate analysis, several preoperative risk factors significantly associated with stoma non-closure were identified, including advanced age, anastomotic leakage, positive nodal status, high preoperative CEA levels, lower rectal cancer presence, margin involvement, and an eGFR below 30 mL/min/1.73m2. A risk assessment model achieved an AUC of 0.724, with a cutoff of 2.5, 84.5% sensitivity, and 51.4% specificity. Importantly, the non-closure rate could rise to 16.6% when more than two risk factors were present, starkly contrasting the 3.7% non-closure rate observed in cases with a risk score of 2 or below (p < 0.001).
Conclusion:
Prognostic risk factors associated with the non-closure of a temporary stoma include advanced age, symptomatic anastomotic leakage, nodal status, high CEA levels, margin involvement, and an eGFR below 30 mL/min/1.73m2. Hence, it is crucial for surgeons to evaluate these factors and provide patients with a comprehensive prognosis before undergoing surgical intervention.
Integrating WGCNA and PPI network to screen heat stress-responsive hub genes of Pinellia ternata
Authors: Wang Jialu , Chen Jialei , Yang Zemin , Liu Li , Zhang Xiangyu , Feng Xue , Li Xiwen 
Published: February 2024

Abstract

Background
Pinellia ternata (Thunb.) Breit. is a heat-sensitive herb. Heat damage can lead to leaf senescence and even death, but the impact on underground parts is not significant when the ambient temperature exceeds 30℃. P. ternata has a diversity of leaf types, however, the response strategies of different leaf types to high temperatures have not been thoroughly analyzed. This study aims to explore hub genes response to heat stress shared in two main leaf types of P. ternata based on integrated network analysis for improving planting measures.
Results
The ultrastructure, physiological indices, and photosynthetic fluorescence parameters were investigated, which indicated that the leaves of P. ternata were able to prevent the damage of photosynthetic structures, averted the accumulation of ROS, and sustained photosynthetic physiological responses under moderate heat stress. Serious heat stress activated the antioxidant enzyme activity systems to provide protective effects. However, the structure and function of chloroplasts in P. ternata leaves were adversely affected. By analyzing the transcriptome data, we obtained a total of 20,875 DEGs. Furthermore, weighted gene co-expression network analysis (WGCNA) was performed to explore the main modules related to heat stress, and 6,183 DEGs were obtained in five candidate modules. Among them, 1,000 DEGs could be annotated by the Uniprot and STRING databases, and a protein-protein interaction (PPI) network was constructed based on these DEGs. In this network, we identified 54 hub genes, and these genes were mainly related to thermal stimulation (HSPs, HSFs, and molecular chaperones) and photosynthesis (Photosystem I chlorophyll a/b-binding protein, Chlorophyll a-b binding protein et al.).
Conclusion
The response mechanisms to high-temperature treatment of two leaf types of P. ternata were analyzed at physiological, subcellular, and molecular levels. The results indicate that these two germplasms shared a common strategy in response to heat stress, and hub genes obtained provide valuable genetic resources for molecular resistance breeding in P. ternata.
Efficacy and safety of camrelizumab in patients with esophageal squamous cell carcinoma: A multicenter, prospective, real-world study
Authors: Li Tingting , Dai Yaqing , Fu Xiaobin , Cai Qunrong , Ke Dongmei , Yao Qiwei , Li Jiancheng 
Published: February 2024

Abstract

Background In this study, we aimed to evaluate the real-world efficacy and safety of camrelizumab and identify clinicolaboratory factors that predict treatment outcomes in patients with unresectable advanced, recurrent, or metastatic esophageal squamous cell carcinoma (ESCC) receiving camrelizumab.Methods Herein, 174 patients with unresectable advanced, recurrent, or metastatic ESCC treated with camrelizumab monotherapy (n = 30), camrelizumab + chemotherapy (CT; n = 91), and camrelizumab + radiotherapy (RT; n = 53) between October 1, 2019 and October 1, 2022 were included.Results The median follow-up time was 20 months (range, 1–34 months). The median progression-free survival (PFS) and overall survival (OS) of the whole cohort were 8 months [95% confidence interval (CI), 6.5–9.5 months] and 14 months (95% CI, 11.2–16.8 months), respectively. After multivariate analysis, receiving > 4 cycles of camrelizumab and having a good lung immune prognostic index (LIPI) were identified as independent predictors of better PFS and OS. The disease control rate of patients in the camrelizumab monotherapy group, camrelizumab + CT group, and camrelizumab + RT group was 92.3%, 90.6%, and 96.1%, respectively. The treatment-related adverse events (AEs) of grade 3 or higher were reported in 67 patients (38.5%). The most common treatment-related AEs were decreased neutrophil count (23.0%), decreased white blood cell count (19.5%), anemia (7.5%), and pneumonitis (4.6%). One patient (0.6%) died from a treatment-related AE of immune checkpoint inhibitor-induced myocarditis.Conclusion Camrelizumab was safe and effective as both monotherapy and part of a combination therapy. Longer PFS and OS were associated with receiving > 4 cycles of camrelizumab and having a good LIPI. LIPI can be used as a prognostic biomarker for ESCC patients receiving camrelizumab + RT.Trial registration: ClinicalTrial.gov Identifier: CHICTR2000039499. Regirstered: 19th October 2020.
YME1L affects the biological function of non-small cell lung cancer by promoting Gαi1 expression and Akt activation
Authors: Wu MinDan , Gao Feng , Xu MeiJie , Zhang JieRu , Ni Chen , Qian WenXia , Chen LiXiu 
Published: February 2024

Abstract

Background: As a key regulatory enzyme in mitochondria, YME1L is crucial for maintaining mitochondrial morphology, function and plasticity, and plays a
catalytic role in PDAC. The research team has found that the overexpression of YME1L can promote the expression of Gαi1 and the activation of Akt, and promote the progression of glioma. Taking NSCLC as the research material, this project aims to reveal the effect of YME1L regulating mitochondrial remodeling on the progress of NSCLC and its molecular mechanism, and provide new ideas for the treatment of NSCLC patients.
Results: YME1L is highly expressed in NSCLC tissues Overexpression of yme1l can promote Gαi1 expression and Akt activation, which in turn regulate cell proliferation, growth, migration and survival, and promote the progression of NSCLC.
Conclusions: In this study, we found that YME1L have a novel oncogenic role in promoting NSCLC tumorigenesis and progression via the Gαi1-AS-pAKT axis. The implementation of this project may provide a new entry point for the treatment of lung cancer.
A mathematical modelization of the energy content of an Apis mellifera beehive
Authors: Kohli Mathieu , Anstett Marie-Charlotte 
Published: February 2024

Abstract
We investigate different aspects of the resources that supply energy to a beehive. Quantitatively, a resource can provide a certain amount of nectar per time unit. Qualitatively, the assessment of this resource depends on more subtle parameters such as the flower species that produces the nectar, the density of the resource, as well as the availability of the resource which is a function of its distance from the hive and of other factors such as the wind. These environmental parameters influence the potential of the hive to store enough honey in order for it to stay alive during the cold winter months. To understand how costly it is for a colony to survive through winter, we study how much honey the bees in a hive expend during the cold season, and the influence of factors such as the size of the colony on the depletion of honey.
A Clinical Trial Evaluating Feasibility and Acceptability of a Brain-computer Interface for Telerehabilitation in Stroke Patients
Authors: Mansour Salem , Giles Joshua , Nair Krishnan P.S. , Marshal Rebecca , Ali Ali , Arvaneh Mahnaz 
Published: February 2024

Abstract
Background: We have created a groundbreaking telerehabilitation system known as Tele BCI-FES. This innovative system merges brain-computer interface (BCI) and functional electrical stimulation (FES) technologies to rehabilitate upper limb function following a stroke. Our system pioneers the concept of allowing patients to undergo BCI therapy from the comfort of their homes, while ensuring supervised therapy and real-time adjustment capabilities. In this paper,we introduce our single-arm clinical trial, which evaluates the feasibility and acceptance of this proposed system as a telerehabilitation solution for upper extremity recovery in stroke survivors.
Method: The study involved eight chronic stroke patients and their caregivers who were recruited to attend nine home-based Tele BCI-FES sessions (three sessions per week) while receiving remote support from the research team.The primary outcomes of this study were recruitment and retention rates, as well as participants perception on the adoption of technology. The secondary outcomes involved assessing improvements in upper extremity function using the Fugl-Meyer Assessment for Upper Extremity (FMA_UE) and the Leeds Arm Spasticity Impact Scale (LASIS).
Results: Seven chronic stroke patients completed the home-based Tele BCI-FES sessions, with high retention (87.5%) and recruitment rates (86.7%). Although participants provided mixed feedback on setup ease, they found the system progressively easier to use, and the setup process became more efficient with continued sessions. Participants suggested modifications to enhance user experience. Following the intervention, a significant increase in FMA_UE scores was observed, with an average improvement of 3.83 points (p = 0.032).
Conclusion: This study serves as a proof of concept, showcasing the feasibility and acceptability of the proposed Tele BCI-FES system for rehabilitating the upper extremities of stroke survivors. Despite the limited number of rehabilitation sessions, the substantial enhancement seen in the FMA_UE score indicates the system’s potential efficacy in upper limbrehabilitation. To further validate the efficacy of the proposed Tele BCI-FES, it is essential to conduct further research involving more extensive sample sizes and additional rehabilitation sessions.
Trial registration: This clinical study is registered at clinicaltrials.gov https://clinicaltrials.gov/study/NCT05215522 under the studyidentifier (NCT05215522) and registered with the ISRCTN registryhttps://doi.org/10.1186/ISRCTN42991002 (ISRCTN42991002
mm-Wave based Gesture Recognition through FMCW Radar using Deep Learning
Authors: Abbas Waseem , Hussain Waqar 
Published: February 2024

Abstract
This research work employed machine learning models for hand gesture recognition using mmwave radar signals to classify different ergonomic and intuitive hand gestures. The proposed system uses IWR6843 AOP EVM frequency modulated continuous wave radar that helps in collecting the hand gestures data for the scalability purpose. The dataset consists of 2718 samples having six classes named as button press, circle, hand down, hand up, swipe left, and swipe right. These samples are collected from four individuals to train the deep neural network, recurrent neural networks, and transformer network. This study investigates the impact of various deep learning approaches on captured mmwave radar based data for gesture recognition. Moreover, a comparison is performed between the proposed methodology and state of the art study. The proposed methodology achieves a promising accuracy of 99.4% which shows that adopted model is robust, scalable and outperforms all other adopted models.
Vascular loops mimicking herniated lumbar discs: fair warning
Authors: Galarza Marcelo , Gazzeri Roberto , Basilotta Yamila , Rosa Pedro , Gallardo Federico 
Published: February 2024

Abstract

Objective: The authors report their experience with twenty-one consecutive patients who presented with symptoms and imaging characteristics of a herniated lumbar disc; of whom, at the time of surgery had a vascular loop instead.
Methods The procedure was performed on 14 women and seven men with a mean age of 39 years. Clinical complaints included lumbar aching with one limb overt radiculopathy in all patients; with additional sphincter dysfunction in two cases. Symptoms had developed within a mean time period of three months. In all patients, the disc was exposed through an L5-S1 (n=10); L4-L5 (n=5) and L3-L4 (n=6) open minimal laminotomy. In 16 patients, rather than a herniated disc they had a lumbar epidural varix, while anarterio-venous fistula was found in the remaining five cases. In all cases, the vascular disorder was resected and its subjacent disc was left intact. One patient had a postoperative blood transfusion. While the radiculopathy dysfunction improved in all patients, four patients reported lasting lumbar pain following surgery. The postoperative imaging confirmed the resolution of the vascular anomaly and an intact disc. The mean length of the follow-up period was 47 months.
Conclusions Either epidural varix or arterio-venous fistula in the lumbar area may mimic a herniated disc on imaging studies. With the usual approach they can be operated safely. Resection of the anomaly can be sufficient for alleviating radiculopathy symptoms.
Impaired Cerebrospinal Fluid Circulation and Cerebral Lymphatic Drainage in a Rat Model of Chronic Hydrocephalus
Authors: Back Dong Bin , Choi Bo-Ryoung , Kwon Kyoung Ja , Choi Dong-Hee , Shin Chan Young , Lee Jongmin , Kim Hahn Young 
Published: February 2024

Abstract
Background
The cerebrospinal fluid (CSF) not only protects the brain but also maintains homeostasis by removing metabolic waste produced by brain activity. This study hypothesizes that chronic CSF circulatory dysfunction, such as chronic hydrocephalus or normal pressure hydrocephalus (NPH), may be a critical condition in neurodegenerative diseases associated with metabolic waste accumulation.
Methods
To investigate the CSF circulation and cerebral lymphatic drainage in a rat model of chronic hydrocephalus induced by kaolin injection, we performed time-dependent evaluations of intraparenchymal injection of tracers as well as intraventricular injection of Evans blue. The study systemically evaluated the dysfunction of CSF circulation and lymphatic drainage in the brain from various perspectives, including the glymphatic system, transependymal CSF flow, subarachnoid CSF flow, meningeal lymphatic drainage, and peripheral lymphatic drainage to deep cervical lymph nodes.
Results
The results indicated delayed CSF circulation, including glymphatic system, and cerebral lymphatic drainage in the kaolin-induced chronic hydrocephalus model. Based on these findings, our research indicated that dysfunction of CSF circulation, as observed in conditions such as chronic hydrocephalus or NPH, may act as an initiating or exacerbating factor in neurodegenerative diseases.
Conclusions
This can lead to the accumulation of metabolic waste, as seen in Alzheimer's disease. Our research can help identify risk factors and provide insight into the underlying pathophysiology of neurodegenerative diseases, which may lead to the development of novel therapeutic strategies.
How do Software Engineering Researchers Use GitHub? An Empirical Study of Artifacts &amp; Impact
Authors: Alrashedy Kamel , Binjahlan Ahmed 
Published: February 2024

Abstract

Millions of developers share their code on open-source platforms like GitHub, which offer social coding opportunities such as distributed collab- oration and popularity-based ranking. Software engineering researchers have joined in as well, hosting their research artifacts (tools, replication package & datasets) in repositories, an action often marked as part of the publication’s contribution. Yet a decade after the first such paper-with-GitHub-link, little is known about the fate of such repositories in practice. Do research reposito- ries ever gain the interest of the developer community, or other researchers? If so, how often and why (not)? Does effort invested on GitHub pay off with research impact? In short: we ask whether and how authors engage in social coding related to their research. We conduct a broad empirical investigation of repositories from published work, starting with ten thousand papers in top SE research venues, hand-annotating their 3449 GitHub (and Zenodo) links, and studying 309 paper-related repositories in detail. We find a wide distri- bution in popularity and impact, some strongly correlated with publication venue. These were often heavily informed by the authors’ investment in terms of timely responsiveness and upkeep, which was often remarkably subpar by GitHub’s standards, if not absent altogether. Yet we also offer hope: popular repositories often go hand-in-hand with well-cited papers and achieve broad impact. Our findings suggest the need to rethink the research incentives and reward structure around research products requiring such sustained contributions.
Dynamic photomask directed lithography based on electrically stimulated nematic liquid crystal architectures
Authors: Shui Lingling , Liu Mengjun , Yang Ruizhi , Guo Zhenghao , Chen Kexu , Feng Haoqiang , Lu Han , Huang Shijian , Zhang Minmin , Ye Huapeng 
Published: February 2024

Abstract

Lithography technology is a powerful tool for preparing complex microstructures through projecting the patterns of static templates with permanent features onto samples. To simplify fabrication and alignment processes, dynamic photomask for multiple configurations preparation becomes increasingly noteworthy. Hereby, we report a dynamic photomask by assembling the electrically stimulated nematic liquid crystal (NLC) into multifarious architectures. We demonstrate that these architectures give rise to reconfigurable and switchable diffraction patterns via electrically modulating the hybrid phase arising from the NLC molecules. These electrically configurable diffraction patterns are adopted as metamask to produce multiple microstructures with height gradients in one-step exposure and hierarchical microstructures through multiple in-situ exposures using standard photolithography. The fabricated pattern has feature size about 3.2 times smaller than the electrode pattern and can be transferred onto silicon wafer via etching. This strategy can be extended to design diverse microstructures with great flexibility and controllability, offers a promising avenue for fabricating metamaterials via complex structures with simplified lithography processes.
A new clinical model for predicting lymph node metastasis in T1 colorectal cancer
Authors: Wang Kai , He Hui , Lin Yanyun , Zhang Yanhong , Chen Junguo , Hu Jiancong , He Xiaosheng 
Published: February 2024

Abstract
Purpose: Lymph node metastasis (LNM) is a crucial factor that determines the prognosis of T1 colorectal cancer (CRC) patients. We aimed to develop a practical prediction model for LNM in T1 CRC.
Methods: We conducted a retrospective analysis of data from 825 patients with T1 CRC who underwent radical resection at a single center in China. All enrolled patients were randomly divided into a training set and a validation set at a ratio of 7:3 using R software. Risk factors for LNM were identified through multivariate logistic regression analyses. Subsequently, a prediction model was developed using the selected variables.
Results: The lymph node metastasis (LNM) rate was 10.1% in the training cohort and 9.3% in the validation cohort. In the training set, risk factors for LNM in T1CRC were identified, including depressed endoscopic gross appearance, sex, submucosal invasion combined with tumor grade (DSI-TG), lymphovascular invasion (LVI), and tumor budding. LVI emerged as the most potent predictor for LNM. The prediction model based on these factors exhibited good discrimination ability in the validation sets (AUC: 79.3%). Compared to current guidelines, the model could potentially reduce over-surgery by 48.9%. Interestingly, we observed that sex had a differential impact on LNM between early-onset and late-onset CRC patients.
Conclusions: We developed a clinical prediction model for LNM in T1 CRC using five factors that are easily accessible in clinical practice. The model has better predictive performance and practicality than the current guidelines and can assist clinicians in making treatment decisions for T1 CRC patients.
Low Leakage Variation SRAM Cell with Improved Stability for IOT Applications
Authors: Rawat Ram Murti , Kumar Vinod 
Published: February 2024

Abstract
Static random access memory (SRAM) is the typical memory for very large scale integrated (VLSI) circuits. A major reason for this is the high speed operation for SRAM in comparison to its previous counterparts, a major trade off for the circuit is its high power consumption. With the growing importance of memory architectures, it is crucial to lower the power consumption of SRAM cells. This major goal of this paper is to provide innovative and effective strategies for creating low power SRAM cells. This study provides several circuit topologies and methodologies to compute stability, leakage current, delay, and power, as well as novel techniques for designing SRAM cells based on eight transistors (8T). SRAM is frequently chosen over dynamic random access memory (DRAM) due to faster speed and lower power consumption. It is named static since no modification or action, i.e. refreshing, is required to maintain the data intact. The leakage current in SRAM, however, frequently rises and impairs its performance when technology nodes are scaled down. Voltage scaling, which also impacts the stability and latency of SRAM, is chosen as a solution to this problem. In this study, a separate (isolated) read port is employed to increase read stability while a negative bit-line (NBL) write aid circuit is used to improve write capability. In terms of write static noise margin (WSNM), write latency, read static noise margin (RSNM), and other metrics, the suggested design has been compared to state-of-the-art work. The paper is organized into the following sections: 1. Introduction, Section 2 describes related work. The suggested work is explained in section 3, while the results and discussion are included in section 4. The results for all the sections are concluded in section 5 conclusions.