bluuebunny/crossref_metadata_2025_split huggingface dataset:
Lasem : Napak Tilas Perdagangan Opium Nusantara
Authors: Haikal Aditya Ikyan 
Published: February 2024

Opium is a plant that is included in class 1 narcotics, this plant is a type of annual plant and cannot be cultivated in other areas except in the mountains of the subtropics. During the colonial era, the opium plants in the Dutch East Indies came from several regions, including India, Persia, Turkey and Singapore. In fact, during the Dutch
colonial era, opium was not the only imported commodity. Judging from the previous records it is stated that imported goods were transported during the Dutch East Indies colonial administration by using ships with the final route to ports in various regions, including cloth, oil, iron or other goods made from iron. , weapons, candles, liquor and various other items including opium. The opium trade in the Java region began to
spread since a binding agreement was obtained between King Amangkurat II and the Dutch, who at tha
t time was led by the VOC, to monopolize the opium trade to the Mataram territory which covered almost the entire island of Java at that time. From what was originally only the aristocratic class, over time it has turned into people of all groups becoming consumers of these goods. The Lasem people were no exception, they
were famous for distributing opium, even at that time in the black market trading model. They even earned the nickname as the "dark funnel" of Java as a form of their expertise in distributing these goods.
THE INSTITUTIONAL ROLE IN FACILITATING THE ADVANCEMENT OF EQUATOR PARK TOURISM WITHIN THE VILLAGE OF JERUJU BESAR
Authors: Wulan dari Selvi Seri , Imtinan Aisyah Hilya , Rahmadanti Dhita , Listyaningrum Indah , Kurniawan Edi , Lestari Rosi 
Published: February 2024

The research aims to determine the role of local institutions in the development of Equator Park tourism in Jeruju Besar Village, Sungai Kakap District. The descriptive method is a useful option for describing, depicting and analyzing objects, conditions, and responses to an event that occurred in the Equator Park development. The results of this research are that Equator Park was built with the involvement of local institutions, namely POKDARWIS through role indicators at the preparatory stage. The imitating stage, Equator Park is inspired by Telok Standing Ecotourism which is on the Kupah River, this ecotourism also takes advantage of nature's preservation. Human Resources there use tickets for operational funds so that the rides there can be properly maintained. The last stage is the stage of accepting collective norms, with this stage the level of concern for villagers also increases
The Initial COVID-19 Reliable Interactive DNA Methylation Markers and Biological Implications
Authors: Zhang Zhengjun 
Published: February 2024

Abstract
Earlier research has established the existence of reliable interactive genomic biomarkers. However, reliable DNA methylation biomarkers, not to mention interactiveness, have yet to be identified at the epigenetic level. This study, from 865,859 methylation sites, discovered two miniature sets of Infinium MethylationEPIC sites, each having eight CpG sites (genes) to interact with each other and disease subtypes. They led to nearly perfect (96.87-100% accuracy) prediction of COVID-19 patients from patients with other diseases or healthy controls. These CpG sites can jointly explain some post-COVID-19-related conditions. These CpG sites and the optimum performed genomic biomarkers reported in the literature rise to be potential druggable targets. Among these CpG sites, cg16785077 (gene MX1), cg25932713 (gene PARP9), and cg22930808 (gene PARP9) at DNA methylation levels indicate that the initial SARS-CoV-2 may be better treated as transcribed viral DNA into RNA virus, i.e., not as an RNA virus that has been concerned by scientists. Such a discovery can significantly change the scientific thinking and knowledge of viruses.
Observer Effect in Social Media Use
Authors: Saha Koustuv , Gupta Pranshu , Mark Gloria , Kıcıman Emre , De Choudhury Munmun 
Published: February 2024

Abstract
While social media data is a valuable source for inferring human behavior, its in-practice utility hinges on extraneous factors. Notable is the ``observer effect,'' where awareness of being monitored can alter people's social media use. We present a causal-inference study to examine this phenomenon on the longitudinal Facebook use of 300+ participants who voluntarily shared their data spanning an average of 82 months before and 5 months after study enrollment. We measured deviation from participants' expected social media use through time series analyses. Individuals with high cognitive ability and low neuroticism decreased posting immediately after enrollment, and those with high openness increased posting. The sharing of self-focused content decreased, while diverse topics emerged. We situate the findings within theories of self-presentation and self-consciousness. We discuss the implications of correcting observer effect in social media data-driven measurements, and how this phenomenon shines light on the ethics of these measurements.
Designing aptasensing platform based on screen printed carbon electrode for detection of acephate
Authors: Singh Poonam , Kumar Sandeep , Verma Sanjay Kumar 
Published: February 2024

Abstract
In this work, we have devised a biosensor utilizing an aptamer functionalized screen-printed carbon electrode (SPCE), for the quantitative estimation of acephate, using cyclic voltammetry (CV). The amino-modified aptamer, specific for acephate, was covalently attached to the surface of SPCE, using the electrochemical diazonium coupling method, followed by end-group activation. The surface structure and electrochemical characteristics of the aptasensor were specified by the application of SEM, FTIR, and CV. Response of the devised aptasensor was linear with acephate concentration in the range of 10 x 10− 9 g mL− 1 to 160 x 10− 9 g mL− 1 (R² = 0.9332, n = 3), with a limit of detection (LOD) 4.34 x 10− 9 g mL− 1. The efficiency of the aptasensor was validated in spiked water samples, consequently, the recovery percentage, of 98.7–104.66% and RSD of 4.59–5.27% (n = 3), was achieved.
Performance Analysis of Photovoltaic Effect on Tunneling Carbon Nano Tube Field Effect Transistor with Gaussian Doping
Authors: A Arulmary , Rajamani V. , Kavitha T. 
Published: February 2024

Abstract
Technology advancement achieves high efficiency with low power. T-CNTFET with low power dissipation in high-speed applications is a suitable candidate for study. Due to the nanometer dimensions of CNTFETs, challenges such as the inability to achieve, reduced leakage current and sub-threshold swing, and increased transconductance and frequency cut are encountered. In addition, low ON current and ambipolar conduction are other drawbacks of conventional T-CNTFETs. Gaussian doping in the channel region of a newly developed design of tunneling carbon nanotube field effect transistor (T-CNTFET) is being evaluated for its performance. Doping is responsible for the short channel effect, increased ON current, and decreased cut-off frequency. There are three tiers of doping in effect. Doping is most concentrated at the drain and source ends of the channel and least concentrated in the central portion of the channel. Two-dimensional self-consistent Poisson and Schrodinger equations are used to model the apparatus. The differential method and the Green's function are used to resolve these equations. The simulation displays performance improvement in terms of transconductance, cutoff frequency, and sub-threshold swing when compared between existing and newly designed doped T-CNTFETs. Photo detectors are extensively used in many applications of communication systems.
Modeling Learning Behavior of Students of Mathematics
Authors: Zaman Budee U 
Published: February 2024

Abstract

This paper introduces an innovative approach to comprehending and modeling the collective behaviors of students within the context of mathematics education. The core objective is to present a comprehensive mathematical framework capable of addressing the entire spectrum of behaviors exhibited in mathematics classrooms. We introduce a novel SIR-based model, tailored to capture behaviors under the influence of individual students. Additionally, we propose that interactions among students across different classrooms can serve as a regulatory mechanism for these behaviors. To validate our approach, we conduct a series of simulations that demonstrate the practicality and significance of our model. This paper significantly contributes to the advancement of our understanding of student behaviors in the realm of mathematics education and their mathematical representation. By bridging the gap between mathematical modeling and the intricate dynamics of student conduct, this work provides valuable insights into the behaviors displayed in math classrooms.
Effect of bottled fluoridated water to prevent dental caries in primary teeth: study protocol for a phase 2 parallel group 3.5-year randomized controlled clinical trial (waterBEST)
Authors: Sanders Anne E. , Godebo Tewodros R. , Divaris Kimon , Slade Gary D. 
Published: February 2024

Abstract
Background: Fluoridation of public water systems is known as a safe and effective strategy for preventing dental caries based on evidence from non-randomized studies. Yet 110 million Americans do not have access to a fluoridated public water system and many others do not drink tap water. This article describes the study protocol for the first randomized controlled trial (RCT) of fluoridated water that assesses its potential dental caries preventive efficacy when delivered in bottles.
Methods: waterBEST is a phase 2b proof-of-concept, randomized, quadruple-masked, placebo controlled, parallel group, trial designed to estimate the potential efficacy of fluoridated versus non-fluoridated bottled water to prevent dental caries incidence in the first four years of life. Two hundred children living in eastern North Carolina, USA, and aged 2-6 months at screening are being allocated at random in a 1:1 ratio to receive fluoridated (0.7 mg/L F) or non-fluoridated bottled water sourced from two local public water systems. Throughout the 3.5-year intervention, study water is delivered monthly in 5-gallon bottles to each child’s home with instructions to use it whenever the child consumes water as a beverage or in food preparation. Parents are interviewed quarterly to monitor children's water consumption and health. At annual visits, the presence of dental caries is evaluated with a dental screening examination. Clippings from fingernails and toenails are collected to quantify fluoride content as a biomarker of total fluoride intake. The primary endpoint is the number of primary tooth surfaces decayed, missing, or filled due to dental caries measured by the study dentist near the time of the child’s fourth birthday. Tooth decay is assessed at the threshold of macroscopic enamel loss. For the primary aim, a least-squares, generalized linear model will estimate efficacy and its one-tailed, upper 80% confidence limit.
Discussion: waterBEST is the first evaluation of a randomized intervention of fluoridated drinking water in bottles to prevent dental caries in the primary dentition. This innovative method of delivering fluoridated water has potential to prevent early childhood caries in a large segment of the U.S. population that currently does not benefit from fluoridated public water.
Trial registration: ClinicalTrials.gov (NCT04893681). Registered March 2022. Last update posted 2023-10-10. https://clinicaltrials.gov/study/NCT04893681?cond=Dental%20Caries%20in%20Children&term=fluoride&locStr=North%20Carolina,%20USA&country=United%20 States&state=North%20Carolina&distance=50&rank=1
Identification of surface water quality pollution areas and pollution sources based on spatial clustering and random forest in Henan, China
Authors: Wei Huaibin , Qiu Haojie , Liu Jing , Li Wen , Zhao Chenchen 
Published: February 2024

Abstract
Maintaining good surface water quality is essential to protecting ecosystems and human health, and different targeted measures for different polluted areas are an effective way to maintain good water quality. This paper takes Henan as an example to study the spatial dependence of surface water quality and explore its spatial clustering pattern, and find out the main driving factors affecting the water quality and analyze the sources of heavily polluted areas by random forest. The results indicate that the spatial pollution pattern of surface water quality in Henan Province can be roughly categorized as insignificant pollution in the northern part, heavy pollution in the central part, and light pollution in the southern part. The heavily polluted areas are mainly located in Zhengzhou, Luoyang and Kaifeng cities. The main indicators affecting water quality in heavily polluted areas are NH3-N, CODMn and TP. The main causes of the deterioration in the region are urban sewage and industrial wastewater discharges. The results not only provide a scientific basis for the systematic management of surface water quality pollution in Henan Province, but also provide a new method for regional water pollution management.
Multi-level Prompt as Extra-Embedding for Incremental Learning
Authors: chaoyang Yan , zhouyang Xu , Cheng Dansong , Ye Jin , Feng Tian 
Published: February 2024

Abstract

Incremental learning has placed an emphasis on solving the issue of catastrophic forgetting. However, the intertask confusion is gradually becoming a non-negligible factor affecting incremental learning. It is observed that a model's learning performance deteriorates significantly when the task identity is unavailable. The primary reason for this is that the model’s features are not closely related to the task, and the ratios of classifier outputs for different tasks become erratic. In this paper, we propose a novel approach, Multi-level Prompt as Extra-Embedding(MPaEE) address the issue of inter-task confusion. MPaEE incorporates several task-independent prompt pools as additional embeddings for image features, enabling classifiers to distinguish inputs for various tasks. Exploiting the fact that the features of the pre-trained model are highly aggregated at the class-level, we assign these prompts to different categories. This approach alleviates the difficulty of selecting prompts for a particular task, as observed in previous work. Our experiments on four benchmark datasets have demonstrated the significant advantages of MPaEE and its effectiveness over the state-of-arts. The implementation of MPaEE can be found in Github: https://github.com/yanaCode0/MPaEE
Geochemical Characterization and Water Quality Index Based Assessment of Groundwater Quality Using GIS In Tropical River Basin.
Authors: Dissanayake Orukanda Dewalage Indunil Pradeep , Perera Thanippuli Arachchige Nilusha Tharangani , Jayasinghe Guttila Yugantha 
Published: February 2024

Abstract

In the Kirama-ara River basin, Matara, southern region of Sri Lanka, a variety of agricultural inputs are utilized, and flooding is a common hazard. Therefore, the groundwater in this area is under serious threat. But the complete physicochemical profile of the groundwater in the Kirama-ara river basin is yet undiscovered. Therefore, the goals of this study were to (a) identify the geochemical characteristics and changes in water quality, (b) evaluate non-carcinogenic health risk and develop a Groundwater quality index (GWQI), and (c) generate a spatial distribution map for groundwater physicochemical characters in the Kirama-ara river basin in Matara, Sri Lanka. The physiochemical characteristics of 16 (G1 to G16) groundwater samples, including pH, total dissolved solids (TDS), electrical conductivity (EC), Ca2+, Mg2+, Na+, K+, Cl-, NO3-, PO43-, and SO42-, were examined for spatial and chronological variations. The pH, NO3-, and PO43- values of 50% (G1, G4, G7, G12, G13, G14, G15, G16), 6.25% (G16), and 6.25% (G16) of the samples, respectively, were determined to be exceeded the allowable limit by WHO standards. The physicochemical investigation demonstrated that while 87.5% of the locations were acceptable for drinking and12.5% of samples were not acceptable. The most common hydro-chemical facies were Ca2+-Mg2+-HCO3-, mixed Ca2+-Mg2+-Cl- face, and Ca2+-Cl-. Rock weathering has a weighty effect on the ionic composition and chemistry of groundwater in the study area. Additionally, health risk assessment revealed that children face greater health risks than adults. Further investigations should be conducted to build reasonable management plans for long-term groundwater quality conservation and public health.
A new cotylean polyclad flatworm species from Ghar El Melh lagoon (Northern Tunisia)
Authors: Gammoudi Mehrez , Dittmann Isabel , Girstmair Johannes , Tomancak Pavel , Egger Bernhard , Bulnes Verónica N. 
Published: February 2024

Abstract

We describe Phrikoceros jannetae sp. nov., a new cotylean polyclad species from Ghar El Melh lagoon, a natural seawater lagoon situated in the north of Tunisia. The new species is characterized by black spots on the dorsal surface in contrast to the white spotted dorsal colour pattern of its congeners. We provide some insights into the biology of this species including the plastic tentacle configuration and the variability of body form and outline within the same specimen. Phrikoceros jannetae sp. nov. was found among tunicates of the species Ciona intestinalis.
Application of Geospatial and Machine Learning Algorithms for Groundwater Quality Prediction Used for Irrigation Purposes
Authors: Raheja Hemant , Goel Arun , Pal Mahesh 
Published: February 2024

Abstract
The main objective of the present study is to evaluate the groundwater quality for irrigation purposes in the central-western part of Haryana state (India). For this, 272 groundwater samples were collected during the Pre- and Post-monsoon periods in 2022. Several indices, including Sodium Absorption Ratio (SAR), Permeability Index (PI), Sodium Percentage (Na %), Kelly Ratio (KR), Magnesium Adsorption Ratio (MAR), and Irrigating water quality index (IWQI) were derived. The results in terms of SAR, Na%, and KR values indicate that the groundwater is generally suitable for irrigation. On the other hand, PI and MAR exceeded the established limits, primarily showing issues related to salinity and magnesium content in the groundwater. Furthermore, according to the groundwater quality assessment based on the IWQI classification, 47.06% and 25% of the total collected samples fell under the "Severe Restriction for irrigation" category during the Pre-monsoon and Post-monsoon periods, respectively. Spatial variation maps indicate that water quality in the western portion of the study area is unsuitable for irrigation during both periods. Three Machine learning (ML) algorithms, namely Random forest (RF), Support vector machine (SVM), and Extreme Gradient Boosting (XGBoost) were integrated and validated to predict the IWQI. The results revealed that the XGBoost with Random searchachieves the best prediction performances. The approaches established in this study have been confirmed to be cost-effective and feasible for groundwater quality, using hydrochemical parameters as input variables, and highly beneficial for water resource planning and management.
A long-lasting low oxygen saturation hiding Titusville Hemoglobin diagnosis in a premature 14-month-old child – Case Report
Authors: Patria Maria Francesca , Piotto Marta , Curcio Cristina , Gangi Silvana , Belhaj Youssra , Lelii Mara , Madini Barbara , Rocchi Alessia 
Published: February 2024

Abstract
Background:
There are some clinical conditions that can impact the accuracy of spO2 measurements, leading to an incorrect diagnosis of hypoxemia. Low oxygen affinity hemoglobinopathy can present with low spO2 and discordance with PaO2 and and general clinical conditions
Case Presentation:
We report the case of a 14-month-old male, born extremely premature, suffering from severe BPD requiring continuous high-flow nasal cannula (HFNC) oxygen therapy, who was hospitalized due to a viral respiratory infection with dyspnea and desaturation. When the child clinically recovered, all attemps of weaning off oxygen led to rapid drops in spO2, despite the lack of increased work of breathing or cyanosis and normal PaO2.
Conclusions:
Severe BPD and recurrent respiratory issues could have per se justified the persistently low spO2. Incongruence between low spO2 values, normal PaO2 levels and good clinical condition, once the child was recovered, raised suspicion of low oxygen affinity hemoglobin (Hb) variants. Abnormal Hb peak detected through high-performance liquid chromatography allowed rare diagnosis of Hb Titusville, confirmed by molecular analysis. In conclusion, the case matched a rare low oxygen affinity hemoglobinopathy (Hb Titusville), highlighting its relevance in unexplained hypoxemia. Diagnosis challenges necessitate a systematic approach to prevent misinterpretations.
Contrast-Enhanced CT Imaging Features Combined with Blood Inflammatory Factors to Predict the Efficacy and Prognosis for Immunotherapy of NSCLC
Authors: Chen Yirong , Yan Haowen , Han Qijia , Yang Zhihe , Ai Zhu , Xiang Zhi-ming 
Published: February 2024

Abstract

Background
Immunotherapy has shown significant clinical efficacy in patients with non-small-cell lung cancer (NSCLC) and has been utilized in various therapeutic regimens. However, it is still difficult to identify patients who might benefit from the treatment, which would limit the use of immunotherapy. Therefore, it is extremely important to find predictors for immunotherapy.
Purpose
This study aimed to develop clinical benefit prediction models for NSCLC patients undergoing immunotherapy via the most routine and affordable medical tests and diagnostic procedures.
Methods
A total of 112 patients with advanced NSCLC receiving immunotherapy were retrospectively included. Prior to immunotherapy, the lesion’s CT radiomics features were extracted. A radiomics signature for short-term effectiveness or overall survival (OS) prediction was developed using the least absolute shrinkage and selection operator (LASSO) method. Additionally, the prognostic performance of the clinical factors was evaluated. Finally, a nomogram for short-term effectiveness prediction was established using multivariate logistic regression, and a nomogram for OS prediction was built using multivariate Cox regression.
Results
For short-term effectiveness prediction, the area under the receiver operating characteristic curve values (AUCs) for the radiomics signature in the training and validation cohorts were 0.740 and 0.708, respectively. While that for the nomogram model were 0.793 and 0.740, respectively. As for OS prediction, the Harrell’s concordance indexes (C-index) of the radiomics signature in the training and validation cohorts were 0.750 and 0.831, respectively. While that of the nomogram model were 0.789 and 0.862, respectively.
Conclusions
CT radiomics signature integrated with clinical factors, could be used in the identification of patients likely to benefit from immunotherapy. Models developed in this study might be promising in facilitating more precise medicine and tailored treatment for advanced NSCLC patients.