bluuebunny/crossref_metadata_2025_split huggingface dataset:
Persistensi Sistem Nilai Dalihan Na Tolu dalam Ruang Rumah Tinggal Masyarakat Batak Perantauan di Yogyakarta
Authors: Nainggolan Freddy Marihot Rotua , Panjaitan Irwin 
Published: November 2023

Title: The Persistence of the Value System of Dalihan Na Tolu within Residential Spaces of the Overseas Batak Communities in Yogyakarta

The research begins with a community entity moving from old to new residential space. This study focuses on the overseas Batak community who migrated with the urge to achieve hagabeon, hamoraon, and hasangapon. Yogyakarta has become one of the destinations for the migration of the overseas Batak community. The study aims to discover how the Dalihan Na Tolu value system is reflected in the architectural patterns of the Batak community's homes in Yogyakarta. The data sources included physical evidence found in residential homes, reconstructed spatial arrangements based on observations and interviews with individuals who have been displaced from their homeland (specifically Tapanuli, North Sumatra), as well as notes and writings about the history, social, and cultural conditions of the Batak community in Yogyakarta. The gamma map technique was used to analyze the spatial depth level and position of the three functional groups in Dalihan Na Tolu. The principle of Dalihan Na Tolu persists through spatial adaptation, placing hula-hula positions in areas with high connectivity and away from circulation pathways. The persistence of the Dalihan Na Tolu value system is an attitude of respect for hula-hula.
Biogas production from water lilies, food waste, and sludge: substrate characterization and process performance
Authors: Khaja Mohammad Aasif , Shah Shagoofta Rasool , Ahmad Abas , Khursheed Asiya , Malani Shiv 
Published: November 2023

Abstract

The potential of water lilies, food waste, and sludge as substrates for biogas production through anaerobic digestion was investigated. We thoroughly characterized these substrates and found that water lilies had a pH of 6.4, total solids (TS) of 18.42%, volatile solids (VS) of 81.46%, and a moisture content of 87%. Food waste exhibited a pH of 7.6, TS of 27.23%, VS of 90.6%, and a moisture content of 75%. Sludge had a pH of 6.5, TS of 6%, VS of 60%, and a moisture content of 95%. Biogas production exhibited variations among the reactors. Reactor 1 reached a cumulative production of 2,527 mL, while Reactor 4 achieved 3,404 mL, with different lag phases. Reactor 4 displayed the highest biogas yield at 262 mL/g VS. Post-digestion tests confirmed efficient digestion, with volatile fatty acids ranging from 140 to 300 mg/L acetic acid and alkalinity levels between 800 and 1,500 mg CaCO3/L. Our study estimated a significant methane content, with the potential to produce 94.32 L of methane from 1 kg of TS.
How suitable is the gold-labelling method for the quantification of nanoplastics in natural water?
Authors: Pirade Februriyana , Lompe Kim Maren , Jiménez-Lamana Javier , Bandyopadhyay Sulalit , Zürbes Katharina , Bali Nesrine , Materić Dušan , Foppen Jan Willem 
Published: November 2023

Abstract

Nanoplastics are detected in surface water, yet accurately quantifying their particle number concentrations remains a significant challenge. In this study, we tested the applicability of a gold-labelling method to quantify nanoplastics in natural organic matter (NOM) containing water matrices. Gelatin-coated gold nanoparticles (Au-gel NPs) form conjugates with nanoplastics via electrostatic interaction which produces peak signals which can be translated into particle number concentration using single-particle inductively coupled plasma–mass spectrometry (SP-ICP-MS). We used water samples with various NOM concentrations, with and without the addition of 1 × 107 particle–1 nanoplastics. Our results indicate that nanoplastics in low NOM samples (&lt;1 mg·C L−1) could be successfully quantified. However, in high NOM samples (&gt;15 mg·C L−1), only 13–19% of added nanoplastics were successfully quantified. Further digestion to remove NOM yielded only 10% of spiked nanoplastics. This discrepancy in high NOM samples could likely be attributed to the competition between nanoplastics and NOM existing in the water sample to bind with Au-gel NPs. Our study highlights the suitability of the Au-gel labelling method for quantifying nanoplastics in low NOM water samples. Nevertheless, further optimization, including pre-digestion steps, is essential to apply this method for high NOM water samples effectively.
Determination of annual rainfall in north-east India using deterministic, geospatial, and machine learning techniques
Authors: Agarwal Shivam , Mukherjee Disha , Debbarma Nilotpal 
Published: November 2023

Abstract
Analysis of extreme annual rainfall in the six north-east Indian states of Assam, Meghalaya, Nagaland, Manipur, Mizoram, and Tripura using the deterministic interpolation technique of inverse distance weighting (IDW), the geospatial interpolation technique of Ordinary Kriging (OK) and the machine learning prediction technique of generalised additive model (GAM). GAM is used only for prediction and hence the results are then subsequently interpolated by OK to create the rainfall maps. The datasets considered for this study are a training dataset of 171 points which consisted of satellite rainfall and a testing dataset with ground rain gauge data of 33 points which was used for validation of the former. A combined dataset of training + testing was also interpolated and mapped to compare for visual accuracy of each technique. It was seen that OK was a superior and a much more realistic interpolation technique than IDW, since it took the altitude of each site into consideration along with latitude and longitude, unlike IDW, which only interpolated over the x–y plane and didn't rely on altitude. When the predictions of the training dataset through GAM were mapped using OK, it showed almost parallel contours, which is undesirable for natural phenomenon like rain.
Oxidative Stress in Beta-thalassemia Patients: Role of Enzymatic and Non-enzymatic Modulators
Authors: Fatima Tehseen , Khan Sadaf , Khan Muhammad Mubashir , Kamran Rameesha , Uddin Muhammed Wajih , Sohrab Saba 
Published: November 2023

Background:Oxidative stress is a pathophysiological state that arises due to an imbalance created between ROS generation and the antioxidant potential of the host cell. Transfusion- dependent beta-thalassemia major patients are at high risk of cellular and molecular damages induced by ROS mainly due to iron overload caused by repetitive blood transfusion.Objectives:To analyze oxidative stress status levels in β-thalassemia patients. To analyze the expression profile of enzymatic (NOS2, OGG1, HuR, SOD2) and non-enzymatic (VDR) redox regulators in β-thalassemia patients. To assess polymorphism in VDR (rs2228570) and NOS2 (rs944725) in β-thalassemia patients. To analyze serum vitamin D levels of β-TM patients compared to healthy individuals.Methods:The present case-control study aimed to identify Vitamin D levels in the serum of β-thalassemia patients and compared it with healthy subjects. The study further analyzed VDR FOKI (rs2228570) polymorphism through ARMS-PCR. Expression profiling of VDR, anti-oxidant enzyme (SOD2 and GPx), and their respective regulator (HuR and NrF2) transcripts was done by the 2–ΔΔCt method.Results:The study reports that there is no a significant difference between the Vitamin D levels among healthy and patients. VDR polymorphism analysis (rs2228570) demonstrates that although the C allele is prevalent in the study cohort, the frequency of the T allele is comparatively higher in β-thalassemia patients as compared to healthy subjects. Furthermore, patients express lower levels of anti-oxidant enzymes despite having increased oxidative stress.Conclusion:The study reports that β-thalassemia patients are at higher risk of cellular and molecular damages induced by oxidative stress and their associated pathologies inefficient enzymatic and non-enzymatic anti-oxidant defense systems.
Use of In silico Methodologies to Predict the Bioavailability of Oral
Suspensions: A Regulatory Approach
Authors: da Silva Honório Thiago , Simon Alice , Clacino Machado Raiane Monteiro , Rodrigues Carlos Rangel , do Carmo Flávia Almada , Cabral Lucio Mendes , de Sousa Valeria Pereira 
Published: November 2023

Background:
Oral suspensions are heterogeneous disperse systems, and the particle size distribution,
crystalline form of the dispersed solid, and composition of the formulation can be listed as parameters
that control the drug dissolution rate and its bioavailability.

Objective:
The aim of this work was to develop a discriminative dissolution test, which, in association with in
silico methodologies, can make it possible to safely anticipate bioavailability problems.

Methods:
Nimesulide and ibuprofen (BCS class II) and cephalexin (BCS class I) oral suspensions were
studied. Previously, solid-state structure and particle size in active pharmaceutical ingredients were characterized
and the impact of differences on solubility was evaluated for the choice of discriminative medium. Afterwards,
particle size distribution (0.1 to 360 μm), dissolution profile, and in vitro permeability in Caco-2 cell of
commercial suspensions, were determined. These parameters were used as input for the establishment of the in
vitro-in vivo correlation (IVIVC) for the suspensions using the GastroPlus™ with Wagner-Nelson and Loo-
Riegelmann deconvolution approach.

Results:
The predicted/observed pharmacokinetic model showed good correlation coefficients (r) of 0.960,
0.950, and 0.901, respectively. The IVIVC was established for one nimesulide and two ibuprofen suspensions
with r between 0.956 and 0.932, and the percent prediction error (%PE) did not exceed 15%.

Conclusion:
In this work, we have performed a complete study combining in vitro/in silico approaches with
the aim of anticipating the safety and efficacy of oral pharmaceutical suspensions in order to provide a regulatory
tool for this category of products in a faster and more economical way.
Exploring Effects and Mechanism of Ingredients of Herba Epimedii on Osteogenesis and Osteoclastogenesis In Vitro
Authors: Song Lei , Zhou Yating , Qu Lin , Wang Dongyu , Diao Xinyue , Zhang Xiaoying , Zhai Yuxia , Zhang Yue , Yu Yingli , Zhou Kun 
Published: November 2023

Background:
Herba Epimedii, a commonly used traditional herb, has been proven
effective in ameliorating osteoporosis. However, the active ingredients and potential mechanism
need further exploration.

Objective:
To screen active ingredients of Herba Epimedii with the effect of ameliorating osteoporosis
and to explore their potential mechanisms.

Methods:
TCMSP and Swiss Target Prediction were applied to collect the ingredients of Herba
Epimedii and their targets. UniProt, GeneCards, TTD, DisGeNET, and OMIM were adopted to
search osteoporosis-related genes. STRING and DAVID were used to perform enrichment analysis.
Effects of screened ingredients were evaluated on MC3T3-E1 cells and RAW264.7 cells,
respectively.

Results:
Eleven ingredients were screened by Network Pharmacology. They exerted a promoting
effect on MC3T3-E1 cells (10-9-10-5 M). The ingredients didn’t significantly affect ALP activity
and osteoblastogenesis-related genes. Baohuoside 1, Sagittatoside B, Chlorogenic acid,
Cryptochlorogenic acid, and Neochlorogenic acid significantly increased calcium depositions.
The ingredients didn’t exhibit a dose-dependent inhibition or promotion on RAW264.7 cells.
Baohuoside 1, Sagittatoside B, Neochlorogenic acid, Cryptochlorogenic acid, Icariin, Epimedin
A, Chlorogenic acid, Sagittatoside A, and Epimedin C suppressed the level of TRACP. Baohuoside
1, Sagittatoside B, Cryptochlorogenic acid, Neochlorogenic acid, Chlorogenic acid, Sagittatoside
A, and Icariin decreased the number of multinucleated osteoclastic cells. Baohuoside 1,
Sagittatoside B, and Cryptochlorogenic acid could significantly inhibit MMP-9 expression.

Conclusion:
Neochlorogenic acid, Sagittatoside B, Chlorogenic acid, and Cryptochlorogenic acid
promoted MC3T3-E1 differentiation, among which Neochlorogenic acid showed significant
promotion in viability, mineralization, and OPN expression. Baohuoside 1, Sagittatoside B,
Cryptochlorogenic acid, Neochlorogenic acid, Chlorogenic acid, and Icariin inhibited
RAW264.7 differentiation, among which Baohuoside 1 showed significant inhibition on
TRACP, multinucleated osteoclastic cells number and MPP-9 expression. The mechanism might
relate to the FoxO signaling pathway, MAPK signaling pathway, and TNF signaling pathway.
Syndecan-1: A Novel Diagnostic and Therapeutic Target in Liver Diseases
Authors: Zhang Xiaoli , Zhao Yalei , Liu Liangru , He Yingli 
Published: November 2023

Abstract:
Syndecan-1 (SDC-1), known as a coreceptor of various growth factors or an integrin
binding partner, regulates various cell behaviours. Under certain pathological conditions, SDC-1
is shed from the cell surface and plays a protective or pathogenic role in various diseases. In the
liver, SDC-1 is highly expressed in hepatocytes, where it is localized on the basolateral surface. It
is critical to the cellular and molecular functions of hepatocytes, including their attachment to hepatitis
viruses. Previous studies have reported that SDC-1 may function as a novel and promising diagnostic
and therapeutic marker for various liver diseases, such as drug-induced liver injury, liver
fibrosis, and liver cancer. In this review, we summarize related research and highlight the mechanisms
by which SDC-1 participates in the pathogenesis of liver diseases, as well as its potential
diagnostic and therapeutic applications. This review is expected to lay the foundation for further
therapeutic strategies to target SDC-1 in liver diseases.
Seizure Prediction on EEG Signals using Feature Augmentation based Multi Model Ensemble
Authors: Anandaraj A. , Alphonse P.J.A. 
Published: November 2023

Background:
Epilepsy is a neurological disorder that leads to seizures. This occurs due
to excessive electrical discharge by the brain cells. An effective seizure prediction model can aid
in improving the lifestyle of epilepsy patients. After analyzing various patents related to seizure
prediction, it is observed that monitoring electroencephalography (EEG) signals of epileptic patients
is an important task for the early diagnosis of seizures.

Objective:
The main objective of this paper is to assist epileptic patients to enhance their way of
living by predicting the seizure in advance.

Methods:
This paper builds a feature augmentation-based multi-model ensemble-based architecture
for seizure prediction. The proposed technique is divided into 2 broad categories; feature
augmentation and ensemble modeling. The feature augmentation process builds temporal features
while the multi-model ensemble has been designed to handle the high complexity levels of the
EEG data. The first phase of the multi-model ensemble has been designed with heterogeneous
classifier models. The second phase is based on the prediction results obtained from the first
phase. Experiments were performed using the seizure prediction dataset from the University Hospital
of Bonn.

Results:
Comparison indicates 98.7% accuracy, with improvement of 5% from the existing model.
High prediction levels indicate that the model is highly capable of providing accurate seizure
predictions, hence ensuring its applicability in real time.

Conclusion:
The result of this paper has been compared with existing methods of predicting seizures
and it indicated that the proposed model has better enhancement in the accuracy levels.
Solar and Wind-based Renewable DGs and DSTATCOM Allotment in Distribution System with Consideration of Various Load Models Using Spotted Hyena Optimizer Algorithm
Authors: Yuvaraj Thangaraj , Suresh Thirukoilur Dhandapani , Joly Maheswaran , Balamurugan Pottukkannan , Babu Nudhurupati Venkata Phanendra 
Published: November 2023

Background:
This article presents a novel strategy that utilizes the nature-inspired
Spotted Hyena Optimizer Algorithm (SHOA) to optimize the placement of solar and wind-based
renewable distributed generation (RDG) and distribution static compensators (DSTATCOMs) in
radial distribution systems (RDS).

Methods:
The proposed technique aims to determine the optimal locations of DSTATCOM and
RDGs based on the loss sensitivity factor (LSF), while the appropriate sizes are determined using
the newly developed SHOA. To facilitate efficient load flow calculations, a fast and effective
backward/forward sweep algorithm (BFSA) is employed.

Results:
The primary objective of this method is to minimize overall power losses within the system.
The effectiveness of the optimization approach based on SHOA is demonstrated through extensive
simulations conducted on a standard IEEE 33-bus test system with diverse load models.

Conclusion:
The results of the simulations and comparisons of multiple case studies clearly indicate
that the allocation of DSTATCOMs leads to significant reductions in power losses and improvements
in voltage profiles.
Estimación de la Irradiancia Solar Total Extraterrestre en función del número de manchas solares
Authors: Plascencia Sánchez Edisón , Posadas Adolfo , Cabrera Carlos 
Published: November 2023

La Irradiancia Solar Total Extraterrestre (TSI) es la cantidad total de energía solar por unidad de área presente en cada momento fuera de la atmósfera terrestre; por lo tanto, varia a lo largo del año, sin embargo, para muchos fines prácticos se la considera constante y se le asigna el valor de la llamada Constante Solar (1367 W/m2). En este artículo se revisan los esfuerzos históricos hechos para cuantificar la Irradiancia Solar Total Extraterrestre, se presentan los últimos avances en esta materia y se propone un método que permite estimar su valor promedio mensual a partir del número de manchas solares, con una incertidumbre de 0.05 W/m2 (RMS = 0.002).
Sociología del temor al delito en la pandemia: ¿Qué ocurrió en los hogares mexicanos?
Authors: Jasso López Lucía Carmina 
Published: November 2023

Desde la Sociología del temor al delito se estudia cómo cambió la percepción de inseguridad en los hogares mexicanos en el contexto de la pandemia por COVID-19. A partir de las encuestas de victimización urbana se analiza la transformación de esta percepción en México durante 2020. Se encuentra que contrario a lo esperado por la literatura, esta percepción disminuyó, por lo que se plantean las preguntas: ¿Qué ocurrió en los hogares mexicanos? ¿Por qué se redujo la percepción de inseguridad durante la pandemia por COVID-19?
Para explicar este cambio se exploran variables criminológicas relacionadas a la percepción de inseguridad como el robo a casa habitación y la inversión en medidas de seguridad para tornar las viviendas más seguras. Paralelamente se indagan otras variables asociadas al aislamiento social y el repliegue de la población a las casas que, como efecto de la pandemia, cambiaron la vida en sociedad a nivel global. Se concluye que en este contexto, los hogares se posicionaron como espacios centrales para ejercer el derecho a quedarse en casa y evitar el contagio, y además se resignificaron en el imaginario social.
Veterinary team members experiencing high levels of burden transfer are more likely to report burnout and a less optimal psychosocial work environment
Authors: Blokland Kirsten , Coe Jason B. , Spitznagel Mary Beth 
Published: November 2023

Abstract

OBJECTIVE
To describe burden transfer in a sample of veterinary workers employed by a Canadian veterinary corporation and to examine the association between different levels of burden transfer and employee burnout and perceived psychosocial work environment.

SAMPLE
475 employees of small-animal veterinary hospitals owned by a corporate practice group.

METHODS
Veterinary team members among 14 working groups responded to an online survey that included assessments of burden transfer, psychosocial environment, and burnout within the workplace. Participants were divided into groups on the basis of self-reported burden-transfer scores being low, mid, or high, and multivariate analysis of covariance was conducted to ascertain associations between level of burden transfer, psychosocial environment, and burnout.

RESULTS
On average, participants perceived difficult encounters with clients to occur with moderate frequency and reported reactions that were low-moderate in intensity. Individuals with high burden-transfer scores were identified in all working groups. Across the 3 burden-transfer groups, the key finding was that high-level burden transfer was associated with perception of greater emotional demands within the workplace, reduced support from supervisors, reduced feeling of social community in the workplace, and elevated rates of burnout among these participants.

CLINICAL RELEVANCE
Findings highlight elevated risks for a certain population of veterinary employees experiencing high levels of burden transfer and underscore the potential need for targeted interventions to support these individuals. Employees who currently react to challenging client interactions with moderate or low intensity may also benefit from these programs as a preventative measure.
Complex evaluation of wild pear
Authors: Gyurkó Adrienn , Baktay Borbála , Varga Anna , Szani Zsolt 
Published: November 2023

Abstract
The National Centre for Biodiversity and Gene Conservation (NBGK) started the gene bank collection and agrobotanical evaluation of wild pear varieties in 2022. The survey of individuals and the recording of descriptors was carried out in several rounds. Part of the data was recorded in situ on the field, and the other part was analysed after the trip. For the in-situ collection of wild fruit plant species and varieties, it was necessary to develop a method for the collection and description. This applied to the development of the survey methodology as well as to the design of the working method.
Monitoring of the water quality of Lake Blidinje and examination of the prognostic model
Authors: Ivanković Anita , Marić Marina , Petrović Danijela , Talić Stanislava , Martinović Bevanda Anita 
Published: November 2023

Abstract
The largest mountainous lake in Bosnia and Herzegovina, Lake Blidinje, is located 1,185 meters above sea level. Polymictic lakes are those in which the entire water column is frequently mixed. Shallow lakes function very differently than deep lakes in many ways because of the strong sediment– water interaction and the possibility for significant water impact on vegetation. In the multiple regression analysis, two models were developed with coefficients of multiple determination (R2 = 0.720 and R2 = 0.497) for the independent variable chlorophyll a. The resulting models are compared with water quality monitoring data from 2017 to 2019.