bluuebunny/crossref_metadata_2025_split huggingface dataset:
Peran Guru Kelas dalam Mengatasi Kesulitan Belajar Siswa Pasca Pandemi di Kelas III SD Negeri 15 Maripi Manokwari
Authors: Muflihah Siti , Zahra Siti Fatimahtun , Liwun Felixia Valentina Jawa 
Published: July 2023

Penelitian ini dilatar belakangi oleh perpasca pandemilahan yang menunjukkan bahawa siswa kelas III di SDN 15 Maripi mengalami kesulitan belajar yang menghambat proses belajar siswa yaitu membaca, menulis dan berhitung pada pasca pandemi Covid-19, karena selama pasca pandemi covid-19 siswa hanya mengambil tugas di sekolah dan mengerjakan di rumah secara mandiri. Ada pun tujuan penelitian ini adalah untuk mengetahui peran guru kelas dalam mengatasi kesulitan belajar siswa pada pasca pandemi di kelas III SDN 15 Maripi dan untuk mendeskripsikan faktor-faktor yang mempengaruhi kesulitan belajar siswa pasca pandemi di kelas III SDN 15 Maripi. Penelitian ini menggunakan jenis penelitian kualitatif dengan metode pengumpulan data yaitu observasi, wawancara dan dokumentasi. Penulis melakukan wawancara dengan informen mengenai Peran guru kelas dalam mengatasi kesulitan belajar siswa pada pasca pandemi di kelas III SD Negeri 15 Maripi Manokwari. Rancangan penelitian menggunakan studi kasus. Dari hasil penelitian yang telah dilakukan dapat disimpulkan perubahan sistem belajar siswa yang dilaksanakan secara luring membuat siswa mengalami berbagai kesulitan dalam belajar seperti kesulitan dalam membaca, menulis dan berhitung. Untuk mengatasi kesulitan belajar siswa, guru dapat berperan dalam membimbing, mengajar dan melatih siswa saat belajar dengan upaya yang di lakukan yaitu guru memberikan jam tambahan belajar, memberikan tugas persuku kata agar siswa mau belajar secara mandiri, serta memberikan dorongan berupa motivasi agar siswa termotivasi dan giat dalam belajar. Dan ada pun faktor penyebab kesulitan belajar yaitu faktor internal dan eksternal.
Analysis of Judges' Legal Considerations Against the Sale of Joint Assets Without the Wife's Agreement in the Study of Positive Law in Indonesia
Authors: Lazuardi Galang , . Sulistyandari , Kunarti Siti 
Published: July 2023

The sale and purchase of land rights is usually carried out by means of an agreement or what is known as a land rights sale and purchase agreement. In the case of the transfer of land rights, the formal conditions for the sale and purchase of land rights must be proven by a deed of sale and purchase drawn up by and before an authorized official. Before the sale and purchase agreement is carried out, it is usually done with the initial agreement which the deed is drawn up by a notary. The responsibilities of a notary as a public official include the responsibilities of the notary profession itself which are related to the deed, including, the responsibility of a notary in civil terms for the deed he makes relates to the material truth of the deed. Then regarding joint assets that are sold without the consent of the husband and/or wife, is it possible, and does the notary have any responsibility for that. Then there is a court decision regarding joint assets which legalizes the sale and purchase deed because of the good faith buyer's consideration as stipulated in the Supreme Court Circular Letter No. 7 of 2012. The purpose of this study is to analyze the responsibility of a Notary related to the sale and purchase of joint assets and the legal considerations of judges who decide cases based on a circular letter which is not a general rule but an internal one that is not well known to the public. The research method used is normative, using secondary data obtained from library research including primary, secondary and tertiary legal sources. The responsibility of the notary, namely in making the deed of sale and purchase of joint property, is a civil responsibility, that is, all the regulations regulated in the UUJN only provide sanctions for violations of a formal notary, for example the rules for issuing deed and others. Judges should in deciding a case use general rules that are understood and understood by the community instead of using internal rules from the court itself which are not understood by the community, especially regarding buyers with good intentions.
Assessment of vegetation variation and its response to ENSO and IOD in the semi-arid ecosystem of Western India
Authors: Londhe Digambar S. , Katpatal Yashwant B. , Singh Chandan Kumar , Bokde Neeraj Dhanraj 
Published: July 2023

Abstract

The variation in the vegetation pattern reflects the change in the regional environment. Normalized Difference Vegetation Index (NDVI) data from 2000 to 2022 for the Upper Bhima sub-basin in Western India has been used to identify the response of vegetation to the El Niño-Southern Oscillations (ENSO) and Indian Ocean Dipole (IOD) events. As a novelty, the present study identifies the ENSO-sensitive and IOD-sensitive vegetation areas within the watershed using vegetation mean to difference anomalies. Monthly NDVI anomalies are used to determine sensitive pixels of vegetation using mean monthly NDVI. Local spatial autocorrelation (LISA) is performed to analyze the pattern of the NDVI anomalies and cluster maps are generated. The results of spatial variation show that NDVI is adversely affected in El Niño years. During La Niña years, the percentage area covered by dense vegetation is more than 80%, which is significantly higher than that of El Niño years in the monsoon and post-monsoon periods. Positive IOD years show significantly more sparse vegetation cover than negative IOD years. The results of LISA analysis show that the rainfall shadow zone in the study area has a cluster of negative sensitive pixels even in the monsoon and post-monsoon period except in negative IOD year.
Evaluation and selection of CMIP6 GCMs for long-term hydrological projections based on spatial performance assessment metrics across South Korea
Authors: Huong Nguyen Thi , Kim Yong-Tak , Kwon Hyun-Han 
Published: July 2023

Abstract
The selection of an appropriate subset of Global Climate Models (GCMs) from the Coupled Model Intercomparison Project 6 (CMIP6) for long-term hydrological simulation at the basin scale is a necessity. This study selected high-performing GCMs among 32 available CMIP6 GCMs on the basis of reproducing the observed precipitation over the main watershed in South Korea during the historical period. An integrated selection approach based on four spatial performance assessment metrics was proposed to better estimate changes in precipitation using the simulated GCMs precipitation. Results revealed that the spatial performance over different GCMs could provide an effective means of selecting GCMs for hydrological study over the major river watersheds in South Korea. The four top-ranked GCMs are FIO-ESM-2-0, CESM2-WACCM, CESM2, and CMCC-ESM2, and they overestimated precipitation in South Korea during the historical period, with a bias of 10–25%. However, this study confirmed that a formal bias correction for these GCMs is not recommended prior to model selection, and the ranking of GCMs under the bias correction could be problematic. The proposed approach in this study can be applied to numerous GCMs, climate variables, and other regions to select representative GCMs to reduce the uncertainties in terms of the spatial patterns observed.
Studying the effect of boiler water releasing in rivers on some water properties (Al-Euphrates River at Al-Mussaib thermal power station as case study)'
Authors: Nasir Mohsin J. , Naser Ahmed Sami , Abidalla Wisam Abdulabbas , Ismael Ghosoon Natiq 
Published: July 2023

Abstract
Studying the effect of boiler water released in rivers on some water properties such as density, viscosity was done in this research. Equations of momentum, conversation, turbulence and energy were used with the relation between the temperature and water properties to describe those properties along the study reach. Simplifying of partial equation was done to obtain system of linear equation. Verification of numerical model by conducting comparison of observed data from Euphrates River at Mussaib Thermal Power Station with those computed by the model. The comparison results of density and viscosity show an agreement with using statistical tests such as Chi square and RMSE. The results of the study showed that increasing the bed roughness from 0.04 m to 0.12 m causes a longitudinal retardation of the values of density and viscosity values about (26 and 22%) respectively and vertical advance of these values about (14 and 12% ) respectively. Increasing the water surface slope from (6 cm/km to 12 cm/km) causes a longitudinal advance of density and viscosity values about (19 and 12%) respectively and vertical retardation of these values about (16 and 13%) respectively.
Thiadiazole and Thiazole Derivatives as Potential Antimicrobial Agents
Authors: Khamitova Аkzhonas , Berillo Dmitriy , Lozynskyi Andrii , Konechnyi Yulian , Mural Dmytro , Georgiyants Victoriya , Lesyk Roman 
Published: July 2023

Background:
This review summarizes data on heterocyclic systems with thiadiazole and
thiazole fragments in molecules as promising antimicrobial agents.

Introduction:
Thiadiazole and thiazole backbones are the most favored and well-known heterocycles,
a common and essential feature of various drugs. These scaffolds occupy a central position and
are the main structural components of numerous drugs with a wide spectrum of action. These include
antimicrobial, antituberculous, anti-inflammatory, analgesic, antiepileptic, antiviral, and anticancer
agents.

Method:
The research is based on bibliosemantic and analytical methods using bibliographic and
abstract databases, as well as databases of chemical compounds.

Result:
This review reports on thiadiazole and thiazole derivatives, which have important pharmacological
properties. We are reviewing the structural modifications of various thiadiazole and thiazole
derivatives, more specifically, the antimicrobial activity reported over the last years, as we have
taken this as our main research area. 80 compounds were illustrated, and various derivatives containing
hydrazone bridged thiazole and pyrrole rings, 2-pyridine and 4-pyridine substituted thiazole
derivatives, compounds containing di-, tri- and tetrathiazole moieties, spiro-substituted 4-
thiazolidinone-imidazoline-pyridines were analyzed. Derivatives of 5-heteroarylidene-2,4-
thiazolidinediones, fluoroquinolone-thiadiazole hybrids, and others.

Conclusion:
1,3,4-thiadiazoles and thiazoles are valuable resource for researchers engaged in rational
drug design and development in this area.
Graph-DTI: A New Model for Drug-target Interaction Prediction Based
on Heterogenous Network Graph Embedding
Authors: Qu Xiaohan , Du Guoxia , Hu Jing , Cai Yongming 
Published: July 2023

Background:
In this study, we aimed to develop a new end-to-end learning model
called Graph-Drug-Target Interaction (DTI), which integrates various types of information in the
heterogeneous network data, and to explore automatic learning of the topology-maintaining representations
of drugs and targets, thereby effectively contributing to the prediction of DTI. Precise
predictions of DTI can guide drug discovery and development. Most machine learning algorithms
integrate multiple data sources and combine them with common embedding methods. However,
the relationship between the drugs and target proteins is not well reported. Although some existing
studies have used heterogeneous network graphs for DTI prediction, there are many limitations
in the neighborhood information between the nodes in the heterogeneous network graphs.
We studied the drug-drug interaction (DDI) and DTI from DrugBank Version 3.0, protein–protein
interaction (PPI) from the human protein reference database Release 9, drug structure similarity
from Morgan fingerprints of radius 2 and calculated by RDKit, and protein sequence similarity
from Smith-Waterman score.

Method:
Our study consists of three major components. First, various drugs and target proteins
were integrated, and a heterogeneous network was established based on a series of data
sets. Second, the graph neural networks-inspired graph auto-encoding method was used to extract
high-order structural information from the heterogeneous networks, thereby revealing the
description of nodes (drugs and proteins) and their topological neighbors. Finally, potential
DTI prediction was made, and the obtained samples were sent to the classifier for secondary
classification.

Results:
The performance of Graph-DTI and all baseline methods was evaluated using the sums
of the area under the precision-recall curve (AUPR) and the area under the receiver operating
characteristic curve (AUC). The results indicated that Graph-DTI outperformed the baseline
methods in both performance results.

Conclusion:
Compared with other baseline DTI prediction methods, the results showed that
Graph-DTI had better prediction performance. Additionally, in this study, we effectively classified
drugs corresponding to different targets and vice versa. The above findings showed that
Graph-DTI provided a powerful tool for drug research, development, and repositioning. Graph-
DTI can serve as a drug development and repositioning tool more effectively than previous studies
that did not use heterogeneous network graph embedding.
Novel Gene Signatures for Prostate Cancer Detection: Network Centralitybased
Screening with Experimental Validation
Authors: Zhao Anguo , Zhang Xuefeng , Hu Guang , Wei Xuedong , Huang Yuhua , Hou Jianquan , Lin Yuxin 
Published: July 2023

Background:
Prostate cancer (PCa) is a kind of malignant tumor with high incidence among males worldwide. The identification of novel biomarker signatures is, therefore of clinical significance for PCa precision medicine. It has been acknowledged that the breaking of stability and vulnerability in biological network provides important clues for cancer biomarker discovery.

Methods:
In this study, a bioinformatics model by characterizing the centrality of nodes in PCa-specific protein-protein interaction (PPI) network was proposed and applied to identify novel gene signatures for PCa detection. Compared with traditional methods, this model integrated degree, closeness and betweenness centrality as the criterion for Hub gene prioritization. The identified biomarkers were validated based on receiver-operating characteristic evaluation, qRT-PCR experimental analysis and literature-guided functional survey.

Results:
Four genes, i.e., MYOF, RBFOX3, OCLN, and CDKN1C, were screened with average AUC ranging from 0.79 to 0.87 in the predicted and validated datasets for PCa diagnosis. Among them, MYOF, RBFOX3, and CDKN1C were observed to be down-regulated whereas OCLN was over-expressed in PCa groups. The in vitro qRT-PCR experiment using cell line samples convinced the potential of identified genes as novel biomarkers for PCa detection. Biological process and pathway enrichment analysis suggested the underlying role of identified biomarkers in mediating PCa-related genes and pathways including TGF-β, Hippo, MAPK signaling during PCa occurrence and progression.

Conclusion:
Novel gene signatures were screened as candidate biomarkers for PCa detection based on topological characterization of PCa-specific PPI network. More clinical validation using human samples will be performed in future work.
STAT3 Signaling Axis and Tamoxifen in Breast Cancer: A Promising Target for
Treatment Resistance
Authors: Zamanian Mohammad Yasin , Golmohammadi Maryam , Alalak Ali , Kamiab Zahra , Obaid Rasha , Ramírez-Coronel Andrés Alexis , Hjazi Ahmed , Abosaooda Munther , Mustafa Yasser , Heidari Mahsa , Verma Amita , Nazari Yashar , Bazmandegan Gholamreza 
Published: July 2023

Abstract:
Signal transducers and activators of transcription 3 (STAT 3) have been proposed to be responsible for
breast cancer development. Moreover, evidence depicted that upregulation of STAT3 is responsible for angiogenesis,
metastasis, and chemo-resistance of breast cancer. Tamoxifen (TAM) resistance is a major concern in breast cancer
management which is mediated by numerous signaling pathways such as STAT3. Therefore, STAT3 targeting inhibitors
would be beneficial in breast cancer treatment. The information on the topic in this review was gathered from
scientific databases such as PubMed, Scopus, Google Scholar, and ScienceDirect. The present review highlights
STAT3 signaling axis discoveries and TAM targeting STAT3 in breast cancer. Based on the results of this study, we
found that following prolonged TAM treatment, STAT3 showed overexpression and resulted in drug resistance. Moreover,
it was concluded that STAT3 plays an important role in breast cancer stem cells, which correlated with TAM
resistance.
Two-Dimensional MXene-Based Functional Composites for Photocatalysts:
Current Status and Perspectives
Authors: Chen Yingchun , Liang Mengjie , Zhang Chi 
Published: July 2023

Abstract:
MXenes, as novel two-dimensional (2D) transition metal carbides, nitrides or carbonitrides, have excellent metal conductivity, high carrier mobility, and surface-terminated groups regulated band structure. It can be thus used as a cocatalyst in photocatalytic systems to improve the photocatalytic properties. This review represented recent research progress on the controllable construction of MXene-based functional composites with zero-dimensional (0D), one-dimensional (1D), 2D, and three-dimensional (3D) semiconductor photocatalysts and their applications for photocatalysts. Extensive information related to 2D MXene-Based composites for photocatalysts and their associated patents were collected. The construction methods and photocatalytic enhancement mechanisms of 2D MXene-based composite photocatalysts were given. Due to their excellent physical and chemical properties, 2D MXene composites have been widely used in pollutant removal, hydrogen production, CO2 reduction, and nitrogen fixation. Through the construction of 2D MXene-based functional composite photocatalysts with novel structures and excellent performance, it provides a new perspective for the design and construction of high-efficiency photocatalysts. The future research directions of MXene-based composite photocatalysts was proposed.
Pathophysiology, Current Therapeutic Options, Vaccine Candidates, and Drug
Targets for Human Brucellosis
Authors: Pritam Manisha , Kumar Rajnish 
Published: July 2023

Abstract:
Brucellosis is an infectious disease caused by different species of Brucella bacteria. It is also known as Malta fever, one of the neglected diseases
that can cause infection in both animals and humans. Although human-to-human infection is rare, it can spread through the inhalation of airborne
agents, and if left untreated, it can lead to serious health complications. In this review, we aim to highlight the pathophysiology, prevention,
epidemiology, mitigation, cure, targets for drug development, and vaccine development against human brucellosis. Human brucellosis is mainly
caused by consuming unpasteurized milk or dairy products, uncooked meat, and contact with infected animals. Human brucellosis outbreaks are
mainly associated with developing and low- to middle-income countries. Brucella is present all over the world, and only some of the regions are at
high risk, including Asia, Africa, Eastern Europe, Mexico, South and Central America, the Caribbean, the Mediterranean Basin, and the Middle
East. Because of intracellular survival, inhibition of apoptosis, and immune evasion, Brucella can survive and multiply inside the host cell, which
can cause chronic disease. By using proteomics approaches, several new drug targets were reported for human brucellosis that can be used for the
development of novel drugs. We can also develop an efficient vaccine against human brucellosis by exploring previously reported vaccine
candidates against animal brucellosis. The information provided through this review will facilitate research to control and cure human brucellosis
and its complicated symptoms.
Propolis, Plant Sources and Antimicrobial Activity: An Overview
Authors: Soltani Amina , Benhanifia Mokhtar 
Published: July 2023

Abstract:
Antibiotic resistance was described soon after the discovery of penicillin by Fleming. In recent years, there has been an increasing interest in developing alternatives to solve this problem.
Propolis «Bee glue» has been used by humans in folk medicine since ancient times, it is a natural resinous mixture produced by honeybees (Apis mellifera) from collected parts of plants. Many studies reported that the phytochemical composition of Bee glue is complex and highly variable and depends on plant species, thus, determining their biological and pharmacological properties. Propolis is considered a potential an-ti-microbial agent that overcomes the phenomenon of antibiotic resistance. Therefore, its combination with standard antibiotics could be a very useful strategy in the medical field, to treat infectious diseases.
Adverse events of replacement therapy in children with growth hormone deficiency
Authors: Aryayev M. , Senkivska L. 
Published: July 2023

Background. The purpose was to analyze and summarize the accumulated short-term and long-term safety data in children with growth hormone deficiency (GHD) treated using recombіnant human growth hormone (rhGH) based on the results of a physical examination, assessment of vital signs, laboratory parameters, and follow-up. Materials and methods. The study was conducted at the Odesa Regional Children’s Clinical Hospital from 2012 to 2022, with 92 children treated for GHD using rhGH at an average dose of 0.033 mg/kg/day. The evaluation of the safety of this therapy was based on assessing the incidence of adverse events (AEs) as a negative consequence of medical care. We analyzed both short-term and long-term outcomes. Results. When studying the short-term safety of rhGH therapy according to physical examination data, AEs were found in 18 (19.57 %) children, including intracranial hypertension (1), arthralgia (1), prepubertal gynecomastia (1), anemia (3), manifestation of latent adrenal insufficiency (3), latent thyroid insufficiency (2), impaired glucose tolerance (7). 20.6 (7.0 ÷ 34.2) % of patients with unacceptable adherence to rhGH therapy reported painful injections compared to 4.3 (–1.6 ÷ 10.2) % of children with acceptable compliance (χ2 = 5.15; р = 0.02). None of the children experienced serious adverse events such as scoliosis progression, slipped capital femoral epiphysis, edema, and impaired vital functions. AEs in terms of hematological and biochemical parameters were usually transient, often in combination with intercurrent diseases, and were not associated with rhGH. In long-term safety, there was no association between rhGH therapy and the risk of cancer, cardiac, and cerebrovascular diseases. Still, three children (3.26 %) had type 2 diabetes, with overweight in one case and obesity in two. Conclusions. In general, in the short-term context, rhGH therapy for children with GHD is safe. The pain at the injection site is a clinically significant AE as a cognitive emotional barrier to the adherence to rhGH therapy. From the point of view of the long-term safety of rhGH therapy, the fact that type 2 diabetes was detected in 3 (3.26 %) children with increased body weight and obesity is essential.