bluuebunny/crossref_metadata_2025 huggingface dataset:
Anticoagulant therapy for a patient with recurrent pulmonary embolism and warfarin resistance：a case report and literature review
Authors: Sen Li , Chen Chen , Yihui Liu
Published: January 2024

Background
Warfarin serves as a primary anticoagulant in the management of pulmonary embolism. This paper delves into the complexities of anticoagulant therapy in a patient demonstrating resistance to warfarin with recurrent pulmonary thromboembolism.
Case presentation:
A 62-year-old female patient was admitted due to recurrent pulmonary embolism, prompting the initiation of anticoagulant therapy. The dosage of enoxaparin was increased by 1/3 − 1/4 to address the severity of the condition. However, subsequent warfarin therapy revealed resistance, with the patient displaying homozygosity for the VKORC1-1639G > A variant and possessing CYP4F2 *3, GGCX with the wild-type CC, indicative of rapid warfarin metabolism. Detailed inquiry into lifestyle revealed habitual consumption of over 7 cups (200 mL/cup) of strong green tea daily, potentially contributing to warfarin resistance. Treatment adjustments were made, recommending a controlled warfarin dose of 12.0 mg to maintain an international normalized ratio of 2.12.
Conclusions
Warfarin resistance is influenced by diverse clinical factors. Accurate identification of this resistance is crucial to tailor anticoagulant therapies effectively. A personalized treatment plan, incorporating consideration of underlying comorbidities, concomitant medications, and dietary nuances, is essential. This case highlights the need for a holistic approach in managing warfarin resistance, ensuring optimal outcomes for patients.
Red blood cell parameters as biomarkers of retinopathy of prematurity in preterm infants born before 30 weeks of gestation
Authors: Maeda Hajime , Go Hayato , Iwasa Hajime , Hiruta Shun , Ichikawa Hirotaka , Sugano Yukinori , Ogasawara Kei , Momoi Nobuo , Sekiryu Tetsuju , Hosoya Mitsuaki
Published: January 2024

Retinopathy of prematurity (ROP) is a major cause of preventable blindness in preterm infants. The association between red blood cell (RBC) parameters and the development of ROP remains unclear. The objectives of the present study were to evaluate the association between RBC parameters and ROP treatment. This single-center, retrospective cohort study included preterm infants born at < 30 weeks of gestation. Data pertaining to RBC parameters and ROP treatment were obtained from the medical records. A receiver operating characteristic (ROC) analysis was performed to determine the cut-off values of the RBC parameters according to the need for ROP treatment. Multiple logistic regression analyses assessed the association between ROP treatment and RBC parameters at birth and on day of life (DOL) 28. We included 202 infants, and 44.1% were treated for ROP. After adjusting for confounders, associations between ROP treatment and hemoglobin (Hb) values of < 9.9 g/dL (adjusted odds ratio [aOR]:3.0; 95% confidence intervals [CI]:1.4–6.7) and hematocrit (Hct) values of < 31.0% (aOR:2.7; 95% CI:1.3–5.6) on DOL 28 were detected. In conclusion, our study showed that infants born at < 30 weeks of gestation with Hb < 9.9 g/dL and Hct < 31.0% on DOL 28 had an increased risk of receiving ROP-warranting treatment.
Prediction of Augmented Efficiency between Electric Pulses and Bleomycin on K562 and MIA-PACA2 Cancer Cells Using Adaptive Neuro-Fuzzy Inference System Method
Authors: Mirshahi Salim , Mirshahi Neshat , Mirshahi Sepideh , Aryana Kiarash , Far Anita Farzaneh , Sazgarnia Ameneh
Published: January 2024

Cell membranes always respond to electric fields because cell membranes consist of ions and molecules. For many years, the technique of inducing electric pulses into the cell to increase its permeability has been investigated. When rectangular pulses with a train of high voltage (about 1000 V/cm) and low repetition frequency (about 1 Hz) are applied, patients feel an unpleasant sensation, while electroporation (EP) using higher repetition frequency and low voltage (HFLV) has been shown to have a higher inhibition of tumor growth. The current study aimed to predict synergism between EP and Bleomycin (SEPB) affecting K562 and MIA-PACA2 cancer cells and to optimize repetition frequency and electric pulse amplitude for HFLV EP by sampling a wide variety of different sets of pulse specifications on SEPB. Both cell types were exposed to higher frequency (4–6 kHz) and low voltage (50–150 V/cm). The characteristics of electric pulses that generate effective synergism with a small dose of Bleomycin were determined. As an output of the applied electric pulses with arbitrary frequency and voltage, the resulting synergism can be achieved using a theoretical model based on an adaptive neuro-fuzzy inference system (ANFIS). Results showed a significant correlation between experimentally observed and theoretically predicted data regarding the calculated coefficient of determination (R2 = 0.99 for K562 and 0.86 for the MIA-PACA2 cell type). It is concluded that this model is intensely reliable for prediction. This suggests that the model is valid and can calculate the SEPB that is affected by the magnitude of the electric pulse and the repetition frequency. Applying the prior experimental results to future drug delivery or biophysical applications might suggest this approach as a time and resource-saving alternative to conducting more tests.
Vegetationsentwicklung auf dem Brockenplateau im Nationalpark Harz von 1990 bis 2022
Authors: Karste Gunter , Kison Hans-Ulrich , Wegener Uwe
Published: January 2024

Die Vegetationsentwicklung auf dem Brocken von 1990 bis 2022 soll hier betrachtet werden. Grundlage dafür sind die Vegetationskartierungen 1993, 2013 und 2021 nach der Methode von Braun-Blanquet (1964). Ziel dieser Arbeit ist es, Veränderungen der Inanspruchnahme von Flächen durch verschiedene Pflanzengesellschaften der Brockenkuppe aufzuzeigen. Der Einfluss der Biotoppflegemaßnahmen auf die Pflanzengesellschaften, aber auch auf die Entwicklung einiger ausgewählter Arten der Brockenkuppe wird dargestellt. Weiterhin sollen Empfehlungen für den weiteren Umgang mit den Pflanzengesellschaften des Brockenplateaus, das sich in der Nutzungszone des Nationalparks Harz befindet, gegeben werden.
Bibliographie botanischer Literatur über Sachsen-Anhalt 2023 und Nachträge
Authors: Krumbiegel Anselm
Published: January 2024

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Improved drought forecasting in Kazakhstan using machine and deep learning: a non-contiguous drought analysis approach
Authors: Sadrtdinova Renata , Perez Gerald Augusto Corzo , Solomatine Dimitri P.
Published: January 2024

Kazakhstan is recently experiencing an increase in drought trends. However, low-capacity probabilistic drought forecasts and poor dissemination have led to a drought crisis in 2021 that resulted in the loss of thousands of livestock. To improve drought forecasting accuracy, this study applies Machine Learning and Deep Learning (ML and DL) algorithms to capture the sequences of drought events using a non-contiguous drought analysis (NCDA). Precipitation, 2-m temperature, runoff, solar radiation, relative humidity, and evaporation were collected from the ERA5 database as input variables. Combinations of inputs were used to build ML models, including seven classifiers (Logistic, K-NN, Kernel SVM, Decision Tree, Random Forest, XGBoost, and GRU). The output events were defined by standardized precipitation index (SPI) and SPEI indicators as binary classes. Weekly time series from 1991 to 2021 for each cell were used to forecast a lead time from 1 week to 6 months. GRU provided 97–99% accuracy in more volatile regions while Random Forest and XGBoost showed 94–99% accuracy at a lead time of 6 months. The accuracy evaluation was based on the confusion matrix and F1 score to analyze the stage change capture. This study demonstrates the effectiveness of using ML and DL algorithms for drought forecasting, with potential applications for other regions.
Treatment of Refractory p53 Mutation Large B-cell Lymphoma with Daratumumab and Venetoclax Followed by CAR-T Cell Therapy: Case Report and Animal Study
Authors: Gong Duanhao , Gu Jia , Zhou Kuangguo , Huang Wei
Published: January 2024

Background::

The tumor burden before chimeric antigen receptor T (CAR-T) cell
therapy was one of the critical factors affecting the prognosis of lymphoma. It was a challenge
to effectively reduce the tumor burden of relapsed/refractory large B-cell lymphoma with p53
mutation.

Objective::

Here, we have presented a case of relapsed/refractory large B-cell lymphoma with
p53 mutation being controlled by the treatment with daratumumab and venetoclax, followed by
CAR-T cell therapy.

Case Presentation::

The patient was a 56-year-old female who was diagnosed with relapsed/
refractory diffuse large B cell lymphoma (DLBCL) transformed from follicular lymphoma.
The patient was treated with daratumumab, venetoclax, and GEMOX (gemcitabine and
oxaliplatin) under the guidance of high-throughput drug sensitivity analysis. We used a CD38
positive lymphoma cell line with p53 mutation to construct tumor models for validating the anti-
lymphoma effect of the combination therapy of daratumumab and venetoclax.

Results::

The patient achieved a complete metabolic response after treatment with daratumumab,
venetoclax, and GEMOX. Then, she further achieved a complete molecular response after she
subsequently received CAR-T cell therapy, and she has been living without a lymphoma recurrence.
The results from the animal study showed that the combination of daratumumab and venetoclax
could significantly enhance the antitumor effect on CD38-positive lymphoma with p53
mutation./

Conclusion::

The results from our successful case and animal experiments provide new avenues
for the treatment of relapsed/refractory large B-cell lymphoma with p53 mutation. Further clinical
trials are reuqired to treat CD38-positive lymphoma with the combination of daratumumab
and venetoclax.
Could the Propionic Acid Treatment in Combination with Metformin be
Safe for the Small Intestine of Diabetic Rats?
Authors: Natrus Larysa , Lisakovska Olha , Smirnov Anton , Osadchuk Yuliia , Savosko Serhyi , Klys Yuliia
Published: January 2024

Background:

Effects of propionic acid (PA) on the cellular and molecular processes
in the small intestine under type 2 diabetes mellitus (T2DM)-induced endoplasmic reticulum
(ER) stress remain incompletely studied.

Objectives:

The aim of the study was to assess the state of unfolded protein response (UPR)
system in the small intestine of diabetic rats and to explore PA’s influence on metformin treatment.

Methods:

Male Wistar rats were divided into 1) control and 2) T2DM groups, and groups receiving
(14 days, orally) 3) metformin (60 mg/kg), 4) PA (60 mg/kg), and 5) PA+metformin.
Western blotting, RT-PCR, and transmission electron microscopy were performed.

Results:

We found that T2DM induced elevation of ER intermembrane space and UPR overactivation
based on increased GRP78, ATF6 and PERK levels in small intestine. Metformin
treatment led to a further UPR activation. PA supplementation partially restored enterocytes
functioning via normalization of ATF6 and PERK content, while IRE1 level reached the maximum
value, compared to all groups. The most pronounced effect of adaptation to the T2DMinduced
ER stress was observed after combined metformin and PA action. In particular, decreased
ER intermembrane space in enterocytes was detected compared to separate metformin
and PA administration, which was accompanied by restored GRP78, PERK and IRE1 levels.

Conclusion:

Our study proves the safety of additional therapy with propionic acid in combination
with metformin for the functional state of small intestine. Due to its ability to modulate
UPR signaling, PA may be considered a safe and perspective candidate for supportive therapy
in T2DM, especially for neuroprotection.
Cognitive Rehabilitation For Early-Stage Dementia: A Review
Authors: Dhankhar Sanchit , Sharma Prerna , Chauhan Samrat , Saini Monika , Garg Nitika , Singh Randhir , Kamal Mohammad Amjad , Sharma Satish Kumar , Rani Nidhi
Published: January 2024

:

In the primary phases of Alzheimer's disease (AD) and vascular dementia,
memory impairments and cognitive abnormalities are common. Because of the rising
prevalence of dementia among the elderly, it is critical to promote healthy habits that
can delay the onset of cognitive decline. Cognitive training (CT) and cognitive rehabilitation
(CR) are particular treatments aimed to resolve memory and further areas of cognitive
working in order to overcome these challenges. These are some of the different
kinds of non-pharmacological treatments like reality orientation and skills training programs
that can be used to deal with the cognitive and non-cognitive repercussions. The
purpose of this review is to assess the efficacy and influence of cognitive training and
cognitive rehabilitation in patients who are in their early phases of Alzheimer's disease or
vascular dementia. These interventions are geared toward improving the patients'
memory, in addition to other aspects of their cognitive functioning.
Spectroscopic Analysis of Lipsticks for the Traces of Heavy Metals: A
Comprehensive Review
Authors: Kumari Supriya , Thakur Shailey , Bhardwaj Leena , Kumar Vijay
Published: January 2024

Heavy metal impurities are typically discovered in cosmetic products since
they are abundant naturally. Lipstick's metal concentration has raised health concerns
across the globe. This is so because applying cosmetics to the face always starts with
lipstick. Since they are a potential source of daily, widespread, and frequently longterm exposure to a range of chemicals, the safety of cosmetic and personal care products has come under increased scrutiny in recent years. Hazardous heavy metals are
included in cosmetics and other products in general, which can cause a multitude of
health issues. Therefore, they ought to be kept to a minimum use wherever it is technically feasible. Analysing the levels of harmful heavy metals present in commercially available cosmetic products is important for reducing exposure to those substances.
In this study, we investigated the levels of a few harmful heavy metals in lipsticks,
such as lead, cadmium, nickel, arsenic, and chromium. For this purpose, we have
studied around 50 research articles that explain the spectroscopic analysis of lipsticks
for the traces of heavy metals. This article includes the determination of levels of these toxic heavy metals by Atomic Absorption Spectroscopy. Due to its hyphenated nature, low cost, quick analysis time, and reliable results, the atomic absorption spectroscopic (AAS) methodology is currently the one that is most frequently employed for
metal ion detection despite the availability of a number of other methods.
Study of Contact Time and Media Thickness on Rainwater Harvesting Technology Filtration at Tidar University
Authors: Fairuz Agredetya Nada , Darajat Achmad Rafi'ud , Amin Muhammad
Published: January 2024

Rainwater harvesting as an alternative raw water source can reduce water runoff. However, rainwater has been in contact with various pollutants in the air. In testing in Building 3, Faculty of Engineering, Tidar University, rainwater contained levels of E. Coli 8 CFU/100ml and Coliform 69 CFU/100ml which exceeded the quality standard of the Minister of Health Regulation No. 32 of 2017. This study aims to see the effect of media thickness and contact time on each mediA to improve rainwater quality using the Vertical Flow Roughing method. Up Flow filter flow with 3 filters containing zeolite gravel, activated carbon, and volcanic sand, with each having 3 different thickness variations, namely 60 cm, 70 cm, and 80 cm. The filter is operated for 18 minutes with sampling every 6 minutes. The results of logistic regression and log likelihood test showed that there was no significant effect on all filtration media in reducing the value of E. Coli and Coliform, but the highest efficiency occurred at 18 minutes with a thickness of 80 cm in each medium. In zeolite gravel filtration, the efficiency of reducing E. Coli and Coliform reaches 100%. In activated carbon filtration, the efficiency of E. Coli reduction was 100% and Coliform 51%. In volcanic sand filtration, the efficiency of E. Coli reduction is 100% and Coliform is 35%.
Study of Behavioral Architectural Concepts in Kampung Susun Produktif Tumbuh Cakung, East Jakarta
Authors: Erlangga Agus , Purwantiasning Ari Widyati
Published: January 2024

The development of Vertical Kampungs has begun to be seen being built and inaugurated by the government in Indonesia. Several settlements were originally horizontal Kampungs that have turned into Vertical Kampungs. The existence of this Vertical Kampung development can make it one of the suitable residential solutions for areas that are already densely populated or where land is starting to be limited. The purpose of this research is to identify the behavior of residents and understand the needs of residents in Vertical Kampungs. The method used in this study is descriptive qualitative narrative variables in the form of interviews, direct observation, and analysis of personal documents, which are illustrative, describing things as they are and the data collected is in the form of words or reasoning, pictures, and not those are the numbers. This Kampung Susun Produktif Tumbuh Cakung only meets 3 principles of the four principles of the concept of behavioral architecture according to the theory of Weinstein David (1987).
Innovation in Railway Investment Financing Through The Land Value Capture Earmarks Scheme
Authors: Safaria Fery , Firdausy Carunia Mulya , Najid Najid
Published: January 2024

The government of Indonesia is currently working to improve infrastructure, with a particular focus on the railway sector, in order to make transportation more accessible and affordable for all citizens. Therefore, this study aims to determine the reliability of alternative financing for the Land Value Capture (LVC) scheme, especially through earmarks (land tax increase). This scheme is very interesting to examine due to its great implementation potential in Indonesia. In this study, the primary data were obtained from direct measurements in the field of information derived from accessibility factors. Meanwhile, the secondary data were in the form of land price data in the NJOP (Tax Object Sale Value), as well as site structure, and its environment. From this context, the land price forecasting model used the Hedonic method developed into a Log-Log equation and was analyzed by using multiple regression statistical techniques with iterations, to obtain the best model. The LVC calculation also used the calculation formula for Land and Building Tax (PBB), as stated in Governor of Jakarta Regulation No. 77 of 2014. Based on the results, the development stage of the land price forecasting model showed that the independent variables with the most significant contribution (α 0.005) were dominated by accessibility-related factors. In the residential, office, and commercial areas, the maximum increase in land value ranged from IDR 696.8 thousand/m2-IDR 30.5 million/m2, IDR 1.25 million/m2-IDR 41.4 million/m2, and IDR 595.9 thousand/m2-IDR 24.4 million/m, respectively. These estimations were observed with an average increase in the earmarks of all stations at 39.84%. Regarding the initial year of the project operation, the LVC value also obtained the maximum coefficient of the tax difference scheme from 21 stations at IDR 471,941,540,397/year.
Soil Improvement and Embankment Stability Using A Combination of Preloading and Prefabricated Vertical Drain (PVD)
Authors: Fatmawati Risma Eka , Putra Paksitya Purnama , Nurtjahjaningtyas Indra
Published: January 2024

The construction of Double Track Sepanjang-Mojokerto KM 48 + 800 to KM.48 + 950 passes through an area with soft and compressible subgrade soil known from field testing data. After analyzing and calculating the settlement value, high settlement value is obtained for a long period. Efforts to solve the settlement problem in this study are to accelerate the settlement time using the Prefabricated Vertical Drain combined with Preloading. The use of this method aims to accelerate the process of settlement in the soil and increase the value of the soil shear strength (Cu) so that the subgrade becomes more stable also utilizes the pressure from the embankment, which also functions as a load (surcharge) that has been adjusted to traffic and construction loads. PVDs were installed with different patterns and spacing variations in order to calculate the efficiency of installation. Based on consideration of the number and time of PVDs to achieve 90% consolidation, a rectangular installation pattern with a spacing of 1.5 meters was selected, which was installed as thick as compressible soil layer at each point. The PVD calculation used settlement data obtained from the sum of consolidation settlement (SC) and immediate settlement (SI) from variations in the height of the embankment depicted in graphical form, which resulted in a polynomial equation. From this equation, the backfill requirement used to achieve the planned elevation of the embankment after the subgrade was installed with PVDs was obtained. Subgrade backfilling was carried out with a planned embankment height of 9-10 meters. The calculation was continued to find the increase in Cu of the subgrade and then analyzed for stability using the Geoslope program. The results of the final stability analysis after the soil improvement method at the point under review ranged from 1.8 to 1.98 and it was safe.
Evaluation of Degree of Consolidation, Over Consolidation Ratio and Coefficient of Consolidation from CPTu tests in Alluvium Clays
Authors: Lie Edwin , Lim Aswin
Published: January 2024

Soft soil was found in several areas in Indonesia, one of them is in Kalimantan Island, which the soft soil in the island mostly formed by Alluvium.  One of the characteristics of the soft soil is that they are likely still in under consolidating stage. The usage of CPTu was found to be suitable to the soft soil as the device can record small numbers continuously and able to record pore water pressure. Key features in performing CPTu in under consolidating soft soil is the dissipation test. However, often the dissipation test ended before the 50% excess pore pressure dissipated, which causes commonly used method for interpretation unable to estimate u50. Inverse time (Whittle et. al., 2000; Lim et. al., 2014) and inverse square root time (Liu et. al., 2014) method was developed to overcame the limitation. Rahardjo et. al. (2016) also developed method for obtaining degree of consolidation (and OCR) using pore pressure ratio parameter (Bq) obtained from CPTu.  Geotechnical investigation comprised advancing several cone penetration testings (CPTu) were carried out after failure occurred in a relatively flat area (RL +5m to +12m) after having built waste dump embankment to +70m elevation. Soft soil with 15m to 30m thickness was found beneath the embankment. This paper presents comparison of coefficient of consolidation using Teh Houlsby (1991) method using parameters derived from inverse time and inverse square root time, also comparison for degree of consolidation and OCR in the Alluvium clays based on the dissipation data obtained from the testings.  Result showed that the Alluvium clays in the upper 10m already over consolidated while between RL 0 to -20m are still under consolidating, with parameters obtained using inverse time and inverse square root time generally showing close value.
Proposal for the Sustainable Electrification of a Primary Healthcare Centre (PHC) Facility in Nigeria
Authors: Ani Vincent Anayochukwu
Published: January 2024

Energy is a prerequisite to running health facilities and is, therefore, key to the success of the service. Karshi primary healthcare centre (PHC) facility is confronted with an unreliable power supply that leads to a high cost of generating power from diesel to operate its equipment. This facility needs a sustainable and reliable electricity supply and therefore a change in their energy system to enable it improve its quality of healthcare delivery services. A solar energy-based electricity generation system that would make the PHC to become resilient and contribute to climate mitigation was selected. A step by step on the design of solar powered system for the health facility was demonstrated, and therefore a grant to develop, install and train health workers on how to use the solar powered system effectively is needed. This program will measure the increased availability of energy, and there is a need for a follow-up program to measure the improvement in healthcare delivery. It was suggested that a data logging system and energy metering equipment should be installed to monitor the function and performance of the solar photovoltaic (PV) system. Monitoring and evaluation is specifically for project installation and management, and recommend that monitoring and evaluation team be set up by the Ministry of Health to collect data that will be used to measure these improvements. This project is aimed at providing 24 hours green and reliable electricity supply to the facility, and reduce CO2 emissions compared to diesel generator. The project will cost 27,169.00 euros, and the organization of this paper follows EREF grant proposal guidelines.
Feasibility and Design Factors for Home-Based Pulmonary Rehabilitation of Patients With Chronic Obstructive Pulmonary Disease and Chronic Lung Diseases Based on a People-Object-Environment Framework: Qualitative Interview Study
Authors: Chien Shih-Ying , Wong Alice May-Kuen , Tseng Winston , Hu Han-Chung , Cho Hsiu-Ying
Published: January 2024

Background

The feasibility of implementing home-based pulmonary rehabilitation (PR) can be assessed from the perspectives of patients with chronic lung disease and health care professionals involved in PR.

Objective

Through a qualitative inquiry using interviews and the adoption of the people-object-environment framework, this study aims to understand the influences of interpersonal, environmental, and situational factors on the perceptions and considerations of individuals involved in home-based PR for patients with chronic lung disease.

Methods

One-on-one interviews were conducted with 20 patients with chronic lung disease and 20 health care professionals for investigating their attitudes and opinions based on their experiences regarding home-based PR as well as for identifying the key factors affecting the benefits and drawbacks of such therapies. This study further evaluates the feasibility of using digital tools for medical diagnosis and treatment by examining the technology usage of both parties.

Results

The 4 key issues that all participants were the most concerned about were as follows: distance to outpatient medical care, medical efficiency, internet connectivity and equipment, and physical space for diagnosis and treatment. Interviews with patients and health care professionals revealed that the use of technology and internet was perceived differently depending on age and area of residence. Most participants reported that digital tools and internet connectivity had many benefits but still could not solve all the problems; moreover, these same digital tools and network transmission could lead to problems such as information security and digital divide concerns. This study also emphasizes the significant impact of human behavior and thinking on shaping the design of health care interventions and technologies. Understanding user perspectives and experiences is crucial for developing effective solutions for unmet needs.

Conclusions

The results of this study indicate that despite the different perspectives of patients and health care professionals, their considerations of the key issues are very similar. Therefore, the implementation of plans related to telemedicine diagnosis, treatment, or rehabilitation should take the suggestions and considerations of both parties into account as crucial factors for telehealth care design.
Correction: Evaluating the Clinical Feasibility of an Artificial Intelligence–Powered, Web-Based Clinical Decision Support System for the Treatment of Depression in Adults: Longitudinal Feasibility Study (Preprint)
Authors: Popescu Christina , Golden Grace , Benrimoh David , Tanguay-Sela Myriam , Slowey Dominique , Lundrigan Eryn , Williams Jérôme , Desormeau Bennet , Kardani Divyesh , Perez Tamara , Rollins Colleen , Israel Sonia , Perlman Kelly , Armstrong Caitrin , Baxter Jacob , Whitmore Kate , Fradette Marie-Jeanne , Felcarek-Hope Kaelan , Soufi Ghassen , Fratila Robert , Mehltretter Joseph , Looper Karl , Steiner Warren , Rej Soham , Karp Jordan F , Heller Katherine , Parikh Sagar V , McGuire-Snieckus Rebecca , Ferrari Manuela , Margolese Howard , Turecki Gustavo
Published: January 2024

UNSTRUCTURED
Utilizing Public Databases for Prognostic Classification in Hepatocellular Carcinoma Amidst Clinical Data Lacking: A Robust Multi-Omics Study (Preprint)
Authors: Wang Lei , Lv Hanlin , Bi Wenshuai , Meng Chenwei
Published: January 2024

BACKGROUND

Robust prognosis classification of hepatocellular carcinoma (HCC) is difficult due to patient heterogeneity. In clinical practice, it’s common that encountering certain omics lacking when utilizing muti-omics data to predict patient prognosis.

OBJECTIVE

In this study, our goal is to develop a dynamic multi-omics predictive pipeline. This pipeline is designed to deliver superior and robust performance by leveraging public databases to train a predictor model that aligns seamlessly with the local datasets.

METHODS

A weakly-supervised predictive pipeline was constructed in this study. We adopted a cox-filter combined similarity network fusion (SNF) and spectral clustering method in The Cancer Genome Atlas (TCGA) dataset to assign all patients a pseudo-label, and developed predictive model. Additionally, to assess the robustness of the pipeline, we developed separate prediction models based on common features between the TCGA dataset and four external cohorts. The pipeline metrics were obtained using log-rank P values and the concordance index (C-index).

RESULTS

The pipeline achieved a superior performance in TCGA dataset, with a significant difference in overall survival (log-rank P value = 3.891×10-9) and good model fitness (C-index = 0.866), and robust performance in four external datasets (LIRI-JP with a C-index of 0.857, GSE14520 with a C-index of 0.875), GSE54236 with a C-index of 0.930, and GSE31384 with a C-index of 0.883).

CONCLUSIONS

The proposed pipeline exhibits outstanding performance. Furthermore, its adaptability to various clinical scenarios ensures robust and consistent prognostic stratification outcomes.
Influence of Avatar Identification on the Attraction of Virtual Reality Games: Survey Study (Preprint)
Authors: Li PengFei , Qi Fa , Ye Zhihai
Published: January 2024

BACKGROUND

In gaming, the embodied interaction experience of avatars serves as a key to emotional sublimation in artistic creation. This presents the emotional expression of art in a more vivid form, which is a critical factor in the high attractiveness of virtual reality (VR) games to players. Intertwined with players’ physiological and psychological responses, immersion is an essential element for enhancing gaming attractiveness.

OBJECTIVE

This study aims to explore how to help players establish a sense of identity with their embodied avatars in VR game environments and enhance the attractiveness of games to players through the mediating effect of immersion.

METHODS

We conducted a structured questionnaire survey refined through repeated validation. A total of 402 VR users were publicly recruited through the internet from March 22, 2024, to April 13, 2024. Statistical analysis was conducted using the SPSS and Amos tools, including correlation analysis, regression analysis, and mediation effect verification. We divided the self-differentiation theory into 4 dimensions to validate their impact on avatar identification. Subsequently, we correlated the effects of avatar identification, game immersion, and game attractiveness and proposed a hypothetical mediating model.

RESULTS

Regression analysis of the predictor variables and the dependent variable indicated a significant positive predictive effect (P<.001); the variance inflation factor values for each independent variable were all <5. In the hypothesis testing of the mediating effect, the total mediating effect was significant (P<.001). Regarding the direct impact, both the effect of avatar identification on immersion and the effect of immersion on game attractiveness were significant (P<.001). However, the direct effect of avatar identification on game attractiveness was not significant (P=.28). Regarding the indirect impact, the effect of avatar identification on game attractiveness was significant (P<.001). The results indicate a significant positive correlation between different dimensions of the self-differentiation theory and identification with avatars. Moreover, immersion in the game fully mediated the relationship between identification with avatars and game attractiveness.

CONCLUSIONS

This study underscores that the embodiment of avatar identification is influenced by dimensions of self-differentiation, and the impact of identification with avatars on game attractiveness is contingent upon full mediation by immersion. These findings deepen our understanding of the role of avatar identification in VR gaming.
3D Back Analysis of Karyamekar Landslide, West Java, Indonesia: Effects of Tension Crack and Rainfall on Peak and Residual Soil Shear Strength
Authors: Aisya Galuh Laksita  , Faris Fikri , Ahmad Rifa’i
Published: January 2024

A landslide was experienced in Karyamekar Village, Cilawu District, Garut Regency, West Java, on 12 February 2021 at approximately 300 m length with a depth of 20 m, leading to a steep slope. Therefore, this study aimed to use 3D back analysis to determine soil shear strength to be subsequently applied in analyzing the possibility of further landslide with due consideration for tension crack and rainfall effect. It was also used to understand the influence of these factors on slope stability. Filled tension crack and rainfall effects were modeled using Finite Element Method (FEM) while Limit Equilibrium Method (LEM) was applied for back analysis. The results of back analysis showed that peak shear strength value of φ was 31.18° at a cohesion of 8.01 kPa while the residual shear strength value of φ was 10.35° with 2.31 kPa. The φpeak value was found to be close to the estimated 32°, but there was a significant difference in the φresidual which was approximated to be 30°. This discrepancy could be attributed to several factors such as the accuracy of rainfall data and geometry as well as the absence of some soil samples during the investigation. The cohesion values for peak and residual soil shear strength were considered acceptable because of the smaller values compared to the typical cohesion of SM (Silty Sand) which was set at 20°. Moreover, slope stability analyses conducted using only the effect of tension crack produced a safety factor of 0.996 while those with only the effect of rainfall had 1.172. The results showed that water pressure in tension crack had a more significant influence on slope stability compared to rain. However, it was important to state that the variation in the significance of each factor was based on the assumptions made during the analysis.
Internet of Things (IoT) Based Real Time Water Quality Monitoring System
Authors: John Denis Muriithi
Published: January 2024

Abstract: Water is an essential element for survival of human beings. Its variety of uses makes it constantly in demand. As such, it is an excellent practice to monitor its various parameters continuously to ensure it is safe for human consumption. Water quality monitoring has previously been carried out in traditional labs, which is time-consuming and prone to inaccuracies. Therefore, we need to redesign methods of monitoring quality of water. In this paper, I leverage Internet of Things (IoT) concept to design a water quality monitoring system. Water quality parameters considered are pH, Turbidity, Total Dissolved Solids (TDS), and temperature. These parameters are sensed using a Microcontroller, and sensor data is sent to the cloud with the help of a WIFI module. Android application is further developed to view stored data from the cloud. Water quality parameters are compared against WHO standards, and an alarm is issued in case of deviations
Handwritten Digit Recognition using Artificial Neural Network, Convolutional Neural Network, MNIST Dataset
Authors: Yadav Prince Singh
Published: January 2024

Abstract: This review paper provides a comprehensive analysis of the application of Artificial Neural Networks (ANNs) and Convolutional Neural Networks (CNNs) for the task of handwritten digit recognition, focusing on the extensively studied MNIST dataset. The study delves into the strengths and weaknesses of both approaches, considering various aspects such as accuracy, computational efficiency, and robustness. Through an in-depth exploration of the literature and empirical evidence, this paper aims to offer valuable insights into the advancements, challenges, and future directions in the field of handwritten digit recognition
Anatomy based papermaking potential of some woody plants under different ecological conditions
Authors: Tırak Hızal Kamile , Birtürk Turgay
Published: January 2024

The increasing use of wood in the forest industry and reduction of forest resources have prompted the paper industry to look for new materials. To this end, this study examined the biometric coefficients of the seven woody stems grown in different regions and investigated suitability for papermaking as an alternative to the use of wood. Wood samples of each species were collected from two different regions in Türkiye: the Kozan region, which has a Mediterranean climate, and the Yuvacık region, which has a mostly oceanic climate.  The species included in the study were Phillyrea latifolia (mock privet), Arbutus andrachne (greek strawberry tree), Erica arborea (tree heath), Spartium junceum (spanish broom), Laurus nobilis (bay tree), Pistacia turpentine (cyprus turpentine tree), and Rhus coriaria (elm-leaved sumac). All fibers were classified as short. The longest fiber was observed for Spartium junceum (spanish broom) in Kozan. The fiber diameter was highest for Arbutus andrachne (greek strawberry tree) from Kozan, followed by Rhus coriaria (elm-leaved sumac) from Yuvacık and Laurus nobilis (bay tree) from Kozan. The fiber dimensions and the relationship between them were statistically analyzed. These included the slenderness ratio, flexibility coefficient, Runkel ratio, rigidity coefficient, Luce’s shape factor, F-factor, and Muhlsteph ratio. Although differences in fiber properties were detected between the two regions, it was determined that these were not enough to affect the desired properties for paper production. It was concluded that the fibers could be used in pulp, paperboard, and corrugated board production when mixed with long fibers.
Poster_Final_Kadir
Authors: Kadir Md Nurul
Published: January 2024

Estuaries are dynamic coastal features that support industry,
food production, and recreation, and provide habitat for numerous animal
species. Their typically low surface gradients make estuaries vulnerable
to sea level rise, storms, and high river water discharge. This
vulnerability combined with the large number of people who often live
near estuaries has led to increasing efforts over recent decades to
improve our understanding of how to minimize flooding and protect people
and property. Despite these efforts, however, we still lack the tools to
quantify the relationship between changes in estuarine morphology and
flood risks. In particular, the interplay between bathymetric changes
and water levels during storm conditions remains poorly quantified. To
address this knowledge gap, we present a general enthalpy framework for
modeling the evolution of estuaries that couples a low gradient
subaerial topset and a subaqueous offshore region or foreset. Sediment
transport in both the subaerial and subaqueous domains includes a
non-linear term that relates sediment flux, local slope, and a threshold
of motion. With this approach, we describe the evolution of the
bathymetric profile and sediment partitioning between topset and foreset
under a range of sea-level variations scenarios. We find that in some
cases upstream sections of the topset can undergo erosion during periods
of sea-level rise and deposition during sea-level fall, contradicting
traditional stratigraphic models. These counterintuitive bathymetric
changes could potentially lead to shifts in the location of maximum
water levels along the estuary not accounted for by models of storm
inundation.
COVID-19 diagnosis using Transfer Learning on Xray Images
Authors: Abubakr Muhammad , Amjad Usman , Asif Raza  , Khurram Muhammad , Farman Hira , Ali Asher
Published: January 2024

Deadly corona virus disease has an effect on people's everyday lives condition and the economy of a country. Diagnose of COVID-19 in the patient in most of the laboratories used real-time reverse transcription polymerase chain reaction (RT-PCR) technique. Initially disease, performance of RT-PCR is not up to the mark due to time required for the diagnosis and high false positives and false negatives outcomes. The diagnosis of this particular disease from radiography imageries is the fastest method. The imaging technique is thought to be a quick diagnosis mechanism to rapidly identify suspicious patients in an epidemic area. We have suggested and developed an automatic system for the detection of COVID-19 samples from normal and pneumonia cases by chest x-ray. We have combined 5 publicly available datasets which include COVID-19 from Kaggle, Mendley, SIRM and NIH images comprising Healthy, Pneumonia and infected patients. Numerous pre-trained transfer learning models namely Resnet50, VGG19, VGG16, MobileNetV2, InceptionResNetV2, EfficientNetB0 and ResNet Mobile have been used for disease diagnosis by utilizing the chest x-rays. A total of 3000 images with class balanced dataset are used to determine the performance suggested method. We have also compared the performance of seven pre-trained transfer learning algorithms to help identify COVID-19 detection efficiency of transfer learning methods for diagnosis using chest x-ray. Resnet50 shows highest classification accuracy of 97%.
Dynamic stability of a cracked pipe conveying fluid under thermal loads
Authors: Lolov Dimitar , Lilkova-Markova Svetlana
Published: January 2024

In the paper is investigated the effect of temperature load and crack
position on the dynamic stability of a cracked straight pipe conveying
fluid. The static scheme of the investigated pipe is a beam with restricted
horizontal and vertical displacements at both of its ends. The velocity of
the transported fluid is constant. The Galerkin method is applied for the
solution of the differential equation of the transverse vibrations of the
pipe. The differential equation is reduced to a first-order differential
equation system. The system of differential equations is transformed and
rewritten in a matrix form. The roots of the characteristic equation of the
system are obtained by solving the generalized first order eigenvalue
problem. A numerical solution for a cracked pipe conveying fluid with
specified geometric and physical characteristics has been carried out. The
temperature load, the position of the crack and the critical velocity of the
fluid are considered as parameters of the problem. The results show that the
temperature load and the crack position affect the vibrational
characteristics of the pipe, as well as its critical velocity.
Investigating Compounds Which Preserve Freshness of Black Tulip Longer
Authors: MG Teklezgi
Published: January 2024

After flowers are cut-off, they start aging quickly. In order to slow down this process and extend the life of a cut flower, postharvest treatment is necessary. This study focuses on identifying the compound(s), which preserves the freshness of a cut flower longest. Fifteen different compounds were tested on the two groups of species; Hybrid Tea and Floribunda from South and North garden. The number of days of freshness for each compound from each garden and specie were measured and these measurements were used to conclude on the compound(s) that preserve the cut roses longest. In terms of analysis; Analysis of Variance, Generalized Estimating Equation and Generalized Linear Mixed Model were used, all of which provided similar results. It was concluded from the fifteen tested compounds that compound6 (Essence of Epiphaneia) and compound12 (Oil of Johns Son) prolong the freshness of cut roses longest. It also appeared that if a rose is taken from southern garden and is of Hybrid Tea specie, the freshness is preserved longer than if it is of Floribunda specie and taken from north garden. Due to the genetic similarity, it is assumed that these results are also applicable to black tulip.
Identification of Traditional Music of Nonoava, Chihuahua
Authors: Montes Lara Mario
Published: January 2024

Throughout our history, war conflicts have served in some way as generators for the music of peoples. In the case of Mexico, the movements of troops and their bands in such an extensive territory, allowed their music to become known in other regions, even for its melodies to become popular. Specifically, two war movements in our country will be the subject of study for musical identity: Independence, and Revolution. This last social conflict unleashed a musical style that would soon become the favorite of the revolutionaries, specifically in the northern region. In Chihuahua in the 19th century, there were no musical expressions of identity. The emergence of wind music came to fill that gap, as it was adopted by Chihuahua´s society. Already in the 20th century, during Mexican Revolution is when a predilection for a certain type of music arises in Chihuahua. Perhaps nowhere else, throughout the country, were there so many military musical bands as in Chihuahua at this time, so their influence on the tastes of the population was representative. With this entire precedent, it will be possible to problematize how wind music was of vital importance in the social life of the people during the Mexican Revolution. Music bands will have a new valuation within society. Thanks to this, Chihuahua acquires a predilection for this type of wind music. In the town of Nonoava, Chihuahua, is where this musical aesthetics formed during the Mexican Revolution, somehow managed to subsist. It is known as the Nonoava style in which some musical elements similar to those of the Mexican Revolution still prevail on it today. This style is mainly made up of wind instruments. In their traditional repertoire, they continue to use European rhythms such as the polka, the redova, the chotis, and the waltz, among others. It is for this reason that the Nonoava style is the object of study in this work. This has turned the Nonoava style into an element of artistic export, since it has unique musical aesthetic elements, such as its instrumentation, repertoire and phrasing, which make it culturally valuable. In 2015, the city is named by the State Congress as “Nonoava, land of musicians”, becoming cultural heritage of the state of Chihuahua. However, the diffusion of Nonoava’s music has been scarce. More detailed research and work dissemination is necessary so that with this music is valued. It is for these reasons that it is pertinent to work. On the rescue and revaluation of this music, for the growth and dissemination of the Chihuahua´s culture. This work tries to find key pieces of this music.