bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Ensemble Learning Based Framework for Smart Landslide Detection, Monitoring, Prediction and Warning in IoT-Cloud Environment
Authors: Sharma Aman , Mohana Rajni , Kukkar Ashima , Chodha Varun , Bansal Pranjal 
Published: August 2023

Abstract
Landslides occur every year during the Monsoon season in hilly areas. Every year, this natural disaster lead to several fatalities, injuries and property destruction. It is crucial to monitor landslides and promptly alert people to looming disasters in light of these injuries and fatalities. Till date no efficient technique is in practice to predict landslides. The tools that are now available monitor landslides at a very high cost and do not offer early warning or forecasts of soil movement. A innovative, low-cost Internet of Things (IoT)-based system for landslip warning, monitoring, and prediction is the major objective of this research. Its assessment, implementation, and development are described in detail.In this study, an IoT-based smart landslide detection, warning, predicting and monitoring system is proposed. The pre and post measures are considered using sensors and other hardware to deal with landslide disaster. It uses real time monitoring of the environment (landslide site) for any changes and providing appropriate output by comparing the threshold values. The proposed system is put to the test on a prototype model, which performed well in our tests. The database was updated 2.5 seconds after the landslide happened, thanks to a steady internet connection. In less than 5 seconds after the event, the thinkspeak channel is able to display a graphical depiction of the data as well as its position. Multiple readings showed an 80–85% system accuracy rate. Further, the proposed ensemble learning based risk prediction model is applied on static and dynamic data to predict the landslide for future references. The ensemble classifier model has 98.67% recall, 96.56% accuracy, 97.35% F1- value and 96.07% precision. The alert SMS are also sent to concerned authority for medical emergency/PWD department/ District administration.
Clinical efficacy and safety analysis of receiving PD-1 inhibitor-containing regimen in elderly patients with advanced gastric cancer
Authors: Zhou Juanjuan , Cai Yunlong , Chen Zhen , Zhang Xiaomei , Xiang Xiaojun 
Published: August 2023

Abstract

Background This paper analyzes the clinical efficacy and safety of Programmed cell death protein-1(PD-1) inhibitor-containing regimens in the treatment of elderly patients with advanced gastric cancer. Methods A retrospective analysis was performed on 51 patients aged ≥ 65 years subjected to anti-PD-1 antibody therapy in the First Affiliated Hospital of Nanchang University between January 2018 and May 2021. We analyzed related factors of patients. Results Only 15.7% of all patients experienced immune-related events. Objective response rate (ORR) and disease control rate (DCR) of patients were 31.4% and 78.4%, respectively. ORR was higher in patients treated with PD-1 inhibitor-containing regimens in first-line compared to second and later-line therapy. In univariate analysis, two or more distant metastatic organs, high Lactate dehydrogenase(LDH)group, and non-excellent Lung Immune Prognostic Index (LIPI)score group were associated with poor median progression-free survival (mPFS)and median overall survival (mOS)([HR, 3.745; CI, (1.667–7.244); P < 0.05], [HR, 2.304; CI, (1.137–4.670); P < 0.05], [HR, 2.822; CI, (1.314–6.059); P < 0.01], [HR, 3.024; CI, (1.191–7.677); p < 0.05], [HR, 3.050; CI, (1.302–7.147); p < 0.05], [HR, 2.607; CI, (1.060–6.407); P < 0.05]. First-line therapy was associated with better overall survival (OS)compared to second and later-line therapy (P < 0.05). Additionally, the number of distant metastatic organs was an independent prognostic risk factor for progression-free survival(PFS). Conclusions In summary, PD-1 inhibitor-containing regimens are safe and effective in elderly patients with advanced gastric cancer. The use of PD-1 inhibitor-containing regimens for first-line therapy may result in a greater survival benefit for elderly patients with advanced gastric cancer than later-line therapy.
Mechanism of action of NvZhen ErXian HeJi in ovariectomized rats with myocardial infarction based on network pharmacology
Authors: Wu Kai , Guo Shu-Xun , Zhang Jie , Zhang Lin-Li , Zhu Ming-Yang , Guo Wen-Jing , Chen Zhi-Gang , Lin Fei 
Published: August 2023

Abstract
Purpose: NvZhen ErXian HeJi (NZEXHJ) is used to treat perimenopausal syndrome (PS), but its effect on perimenopausal coronary heart disease is unclear. To study the effect of NZEXHJ on perimenopausal coronary heart disease in a rat model based on a network pharmacology approach.
Methods: Based on network pharmacological analysis combined with molecular docking, and that predicted the potential therapeutic target and pharmacological mechanism of NZEXHJ in the treatment of PMCHD. We used an ovariectomized rat (OVR) model to understand the effect of NZEXHJ on myocardial injury and further verify the target of NZEXHJ in the intervention of PMCHD.
Results: We selected 52 active components of NZEXHJ against PMCHD, and an intersection of their targets on network pharmacology, which SCN5A, SER1, AR, and PGR were significantly correlated. Protein-protein interaction network revealed CASP3, CXCL8, IL6, MAPK1, TNF, TP53, and VEGFA, in the treatment of PMCHD with NZEXHJ. The Kaempferol, luteolin, and mistletoe pre-sented good affinity towards the aforementioned targets by Molecular docking NZEXHJ exerted protecting cardiomyocytes for OVR. The mechanism was related to a reduction in the expression levels of the CXCL8, TNF, and regulate PI3K-AKT signaling pathways.
Conclusion: NZEXHJ may protect against myocardial injury after myocardial infarction in ovariectomized rats by regulating the PI3K-AKT signaling pathway through CXCL8, TNF, and other targets. Our study provides new ideas and targets for the treatment of perimenopausal coronary heart disease in the future.
A simple and effective technique for laparoscopic gastrorrhaphy: ModifiedGraham’s patch with barbed suture
Authors: Chou Ta-Chun , Lee Chun-Hui , Soong Ruey-Shyang , Chen YiChan 
Published: August 2023

Abstract
Introduction
Peptic ulcers are caused by unbalanced acid production, and proton pump inhibitors (PPIs) in recent decades have helped to treat peptic ulcers effectively. Meanwhile, the incidence of perforated peptic ulcer (PPU) persists and has a high mortality rate if there is no adequate management. Primary closure with a modified Graham’s patch was well performed in early detected PPU with a small size < 2 cm. A laparoscopic approach for PPU was prescribed for decades with proven feasibility and safety. We introduced an effective technique combined with barbed suture and modified Graham’s patch, which can reduce the surgical time without significantly increasing morbidity and mortality compared with traditional interrupted suture.
Patients and method
We retrospectively collected data from 2014/1 to 2020/12 in Keelung Change Gung Memorial Hospital, and a total of 154 patients receiving laparoscopic repair of PPU were included. There were 59 patients in the V-loc group (V group) and 95 patients in the P group.
Results:
The V group had a significantly shorter operation time than the P group (96.93 ± 22.14 mins vs. 123.97 ± 42.14, P < 0.001). Ten patients suffered from morbidity greater than the Clavien‒Dindo classification (CDC_ class 4 (5 from V group, and 5 from P group). Three patients with leakage were reported. Two patients were in the V group, and one patient was in the P group (p = 0.432).
Conclusion
Laparoscopic repair with barbed suture and modified Graham’s patch provides a simple and effective technique in the management of acute abdomen. This technique can be easily performed by experienced surgeons and trainees in minimally invasive surgery without affecting patient safety.
Development of ‘living well’ concept for the elderly with dementia
Authors: Kim Jiyoung , Shin Nayeon 
Published: August 2023

Abstract
Background: Understanding how to support people with dementia living well is an important goal in dementia care. It is necessary to conceptualize a definition of “living well” that is suitable for the elderly with dementia and develop the concept from both the subject and caregiver perspectives.
Aim: This study aimed to analyze the concept of 'living well” among elderly people with dementia.
Method: Following Schwartz-Barcott and Kim's hybrid model, this study comprised three phases: theoretical, fieldwork, and final analytical. In the theoretical phase, we reviewed the extant literature. In the fieldwork phase, we conducted in-depth interviews with 12 individuals (five elderly people with dementia, two family members, and five nurses), followed by qualitative content analysis in the final analytical phase, we defined the concept of “living well” by comprehensively analyzing the data from the theoretical stage and the results from the field stage.
Results: “Living well” of the elderly with dementia was analyzed using physical, mental, and social relation dimensions. The physical dimensions derived from the final analytic phase were “ability for daily living” and “symptom management.” The mental dimensions were “psychological health,” “psychological stability,” “identity maintenance and growth,” and “human dignity.” Finally, the social relations dimensions were “maintaining social relations and community connectivity” and “national support.”
Conclusion: The concept analyzed in this study will form the basis for the development of tools and interventions to improve the suitability of “living well” for elderly people with dementia.
New dimension of epilepsy complications: A literature systematic review of visual and retinal disorders
Authors: Negahi Ahmad , Sattarzadeh Mohammad , Zarei Aref 
Published: August 2023

Abstract
Background:
Epilepsy usually causes irreparable brain damage with its convulsive attacks, depending on whether it is localized or general, damage to the brain nerves is not far away.
Aim:
This systematic review, we examined the effect of epilepsy on vision complications.
Method:
This article was written according to PRISMA criteria from January 2018 to January 2022. These articles were selected from PubMed, Scopus and Google scholar (for results follow-up) databases and 98 articles were studied and 11 of them were used in this article. The principle of non-bias was respected and the results were reviewed at the Cochrane Center.
Mesh base Keywords: Epilepsy/seizure, optic nerves, oculomotor nerves,Trochlear nerves, Vision disorders, retinal disorders.
Results:
Epilepsy attacks reduce the thickness of optic nerve ganglions and retinal nerve fibers. Epileptic seizures with damage to retinal nerves and more precisely optic nerve ganglia reduce Retinal Nerve Fiber Layer (RNFL), Ganglion Cell Layer (GCL). Some studies have stated that hypoplasia of the optic nerve, which is a symptom of focal non-convulsive status epilepticus, has been associated with any kinds of epilepsy. Finally, these propositions ended with the reduction of sensitivity to light in several articles, vision response is reduced in patients with persistent epilepsy.
Conclusion:
visual power decrease and serious retinal nerve damage can be expected from epileptic seizures, that change indicators same as nerve thickness and sensitivity to light.
A Machine Learning Method to Process Voice Samples for Identification of Parkinson’s Disease
Authors: Iyer Anu , Kemp Aaron , Rahmatallah Yasir , Pillai Lakshmi , Glover Aliyah , Prior Fred , Larson-Prior Linda , Virmani Tuhin 
Published: August 2023

Abstract
Machine learning approaches have been used to develop methods for the automatic detection of Parkinson’s Disease with voice recordings being the most used data type due to the simple and non-invasive nature of acquiring data. While most studies used voice samples recorded under controlled conditions, a few studies have used voice samples acquired via telephone. Although voice recordings captured via telephone or mobile devices allow much easier and wider access for data collection, current conflicting performance results limit their clinical applicability. The contribution of this study is two-fold: First, we show the reliability of telephone-collected voice recordings of the sustained vowel /a/ by collecting samples from 50 people with Parkinson’s Disease and 50 healthy controls and applying machine learning classification with voice features related to phonation. Second, we utilize a novel application of a convolutional neural network with transfer learning to analyze the spectrograms of the sustained vowel from these samples. This approach considers speech intensity estimates across time and frequency scales rather than collapsing measurements across time., We show the superiority of this pre-trained Inception V3 convolutional neural network model with transfer-learning for the task of classifying people with Parkinson’s Disease as distinct from healthy controls.
Accuracy of Patient-Reported Cancer-stage Information: result of a nationwide patient experience survey
Authors: Watanabe Tomone , Ichinose Yuichi , Toida Tsutomu , Higashi Takahiro 
Published: August 2023

Abstract

Background
The accuracy of the patient-reported clinical data remains largely unknown. This study aims to assess the level of agreement between the responses of patients in surveys and actual information obtained from hospital-based cancer registries (HBCR).
Methods
A total of 1,671 patients from 166 hospitals across Japan were randomly selected and invited to participate in the survey, and primary data of a nationwide survey was analyzed, which was collected from January 2019 to July 2019. A group of patients were informed prior to the survey conduction that the validity of their responses would be assessed in correlation with the HBCR. Patient demographics such as age, sex, cancer stage, and cancer sites were noted, and survey responses were compared with the clinical information extracted from hospital-based cancer registries. The agreement rates between the patients’ self-reported demographic information and the information from the registry was compared. Further, logistic regression was used to identify the factors contributing to the accurate reporting of cancer stage information.
Results
It was noted that although patients’ responses regarding age, sex, and cancer site were quite accurate, the agreement rate between patients’ responses and cancer stages mentioned in hospital-based cancer registries was approximately 48.1%. The stage-stratified agreement rate was the highest (67.7%) for stage IV cancers. Younger and female patients were found to have more accurate information than older and male patients.
Conclusions
Although utilizing patient-driven information in the policy-making process is helpful, researchers and policy makers must verify the accuracy of this information.
Fixed-Time, Robust and Fuzzy Adaptive Consensus Control with Event Trigger Mechanism Based on a Novel ZNN Scheme
Authors: Xiao Lin , Luo Jiajie , Ning Yingqiang , Li jichun , Tan Ping 
Published: August 2023

Abstract
As a systematic approach, zeroing neural network (ZNN) is an elegant tool in control applications. However, the application of ZNNs in multi-agent systems still needs further research. Adaptive control schemes with adjustable convergence speed are important in practical application, but researchers mainly use explicit and direct rules to update the convergence parameter, which is less effective than using fuzzy logic system (FLS). In this study, combined with FLS, a novel event-triggered fuzzy adaptive ZNN (ET-FAZNN) model is proposed to solve the consensus problem in a fixed time. With a set of predefined fuzzy rules, the convergence rate is adaptively adjusted after an overall evaluation of the system state. We also boost computing efficiency by introducing the event-triggered mechanism. Specifically, we first present a detailed theoretical analysis to show that the novel ET-FAZNN model is fixed-time stable and robust. Then, we estimated the upper bounds of settling-time functions through a novel method based on the improper integral. Finally, four numerical experiments are presented to further verify the fixed-time convergence, adaptiveness, robustness, and the superior computing efficiency compared with conventional fuzzy adaptive ZNN.
The impact of the COVID-19 pandemic on suicide and alcohol mortality in Sweden
Authors: Norstrom Thor , Ramstedt Mats 
Published: August 2023

Abstract

Several of the interventions implemented by authorities to prevent the spread of COVID-19 entailed potential risks for social isolation and loneliness which are risk factors for alcohol and mental health problems. Experiences from previous health shocks suggest that lower socioeconomic groups are more vulnerable. The main aim of this paper is to assess the impact of the COVID-19 pandemic on suicide and alcohol mortality in Sweden and to assess possible difference across socio-economic groups. In addition, we provide a brief description of SES-differences in COVID-19 mortality. The following causes of deaths were included in the analysis: COVID-19, all-cause mortality excluding COVID-19, suicide and a composite index of alcohol-specific deaths. SARIMA-modelling was used to assess the impact of the pandemic on suicide and alcohol-specific mortality. Two alternative measures of the pandemic were used: (1) a dummy that was coded 1 during the pandemic (March 2020 and onwards), and 0 otherwise, and (2) the Oxford COVID-19 Government Response Tracker’s Stringency Index. We used monthly data spanning the period January 2016–December 2021. There was a marked SES-gradient in COVID-19 mortality in the working-age population (25-64) which was larger than for other causes of death. A SES-gradient was also found in the old-age population, but this gradient did not differ from the gradient for other causes of death. The outcome from the SARIMA time-series analyses suggested that the pandemic did not have any impact on suicide or alcohol-specific mortality in any of the gender and educational groups.
Halo traction evaluation of Cranio-cervical instability in hereditary connective tissue disorder patients: Case series
Authors: Bohra Hussain , Maalouly Joseph , Chopra Neha , Stewart Charmian , Diwan Ashish , Seex Kevin , Rao Prashanth J 
Published: August 2023

Abstract
Introduction: Cranio-cervical instability (CCI) is a condition commonly found in patients with connective tissue disorders such as Ehlers-Danlos Syndrome (EDS), leading to various symptoms. Assessing patients for surgical fusion as a treatment for CCI is challenging due to the complex nature of EDS-related symptoms. This study aimed to evaluate the role of pre-fusion Halo traction in alleviating symptoms and determining suitable candidates for fusion surgeries.
Methods: A case series of 15 EDS patients with neurological symptoms underwent halo traction between 2019 and 2022. Patients completed a CCI Questionnaire before and after the traction, reporting symptoms related to headache, vision, hearing, equilibrium, and performance. Symptom groups were assigned scores based on patient responses, with one point for each affirmative answer. The scores were statistically analyzed using a paired t-test. Patients experiencing over 50% improvement in the majority of symptoms were considered for fusion surgery, and 7 out of 12 patients subsequently underwent the procedure.
Results: The average age of the patients was 38 years, with a female-to-male ratio of 14:1, consistent with existing literature. Significant improvements were observed in various symptom categories after halo traction, including headache (63% improvement, p < 0.001), brainstem functions (72% improvement, p < 0.001), cerebellar functions (59% improvement,p < 0.001), hearing (65% improvement, p < 0.001), motor functions (62% improvement, p < 0.001), vision (53% improvement, p < 0.001), cardiovascular functions (58% improvement, p< 0.05), sensory and pain (56% improvement, p < 0.001), high cortical functions (54% improvement, p < 0.01), GI functions (41% improvement, p < 0.05), bladder functions (55% improvement, p< 0.001), and Modified Karnofsky score (26% improvement, p < 0.05).
Conclusion: halo traction proved to be a simple and effective method for both evaluating patients for surgery and providing symptomatic relief in EDS-related CCI cases. It also allows surgeons to monitor patients with stable cranio-cervical junctions before committing to surgery. However, the study's limitations include the small sample size and the absence of a validated questionnaire with a scoring system.
Mist Generation Behavior in Ultrasonic Atomizer for Aerosol Jet® Printing
Authors: Feng James , Klett James , Renn Michael 
Published: August 2023

Abstract
Continuous ultrasonic atomization in a closed chamber is expected to generate a mist with an equilibrium droplet concentration and size distribution. Such a mist of microdroplets with controllable mist density has been used for Aerosol Jet® printing in the fabrication of a variety of additively manufactured microscale devices. Despite many unique capabilities demonstrated with the Aerosol Jet® printing technology, its ultrasonic atomization behavior appears to be rather sensitive to the ink properties with gaps in our understanding of the fundamental physics underlying its operation. In this work, we investigate some basic mechanisms in the Aerosol Jet® ultrasonic atomizer with a lumped-parameter kinetic coagulation model for highly concentrated mist. To mitigate the difficulty with unavailable knowledge about the complex turbulent flow inside the atomizer chamber, we present results for several orders of magnitude of the turbulent energy dissipation rates in order to examine a range of possibilities. The same approach is taken for analyzing the scavenging effect of the swirling bulk liquid. Our results also demonstrate the theoretical possibility for achieving a mist saturation condition where the mist output from the atomizer can become insensitive to process variables. As observed in experiments, such a saturated mist is highly desirable for Aerosol Jet® printing with maximized and well-controlled throughput in additive manufacturing.