bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Comprehensive Analysis of the Clinical Significance and
Underlying Oncogenic Roles of Specific MMPs in Gastric
Carcinoma Reveals their Potential Roles in Prognosis and Therapy
Authors: Jin Shiyang , Wang Jing , Wang Kuan 
Published: January 2025

Background:
Gastric cancer is a major global cause of cancer-related
deaths, necessitating investigation into Matrix Metalloproteinases’ (MMPs) diagnostic
and prognostic value. Our study aimed to analyze their significance in gastric cancer.

Methods:
We evaluated MMP family genes' mRNA and protein expression using the
University of Alabama at Birmingham (UALCAN) and Human Protein Atlas (HPA)
databases. Then, we analyzed the relationship between their mRNA expression and
gastric cancer staging and survival using Gene Expression Profiling Interactive
Analysis (GEPIA) and Kaplan–Meier plotter. Furthermore, we assessed this family’s
gene mutation rates in gastric cancer patients using Search Tool for the Retrieval of
Interaction Genes/Proteins (STRING) and explored potential pathways and
mechanisms via Database for Annotation, Visualization, and Integrated Discovery
(DAVID), cBioPortal, and R. Finally, we established a predictive model for gastric
cancer based on these analyses to understand these genes’ roles in cancer.

Results:
Our findings revealed significantly upregulated mRNA expression of
MMP1/2/3/7/9/10/11/12/13/14 in gastric cancer tissues (p<0.05). Higher levels of
MMP2/7/10-encoded proteins (middle or high) were observed in tumor tissues, with
MMP2/11/14 closely associated with different cancer stages (p<0.05). Additionally,
MMP2/7/11/14/20 mRNA levels correlated with short-term overall survival (about 20
months), while MMP1/3/9/12/13 expression was associated with favorable overall
survival (about 30 months). Gastric cancer patients exhibited a 21% mutation rate of
MMP family genes, which correlated with favorable overall survival. Enrichment
analysis and protein-protein interaction results underscored the close association of
MMPs with gastric cancer development. The MMP2 model demonstrated a significant
decline in survival rates for the high expression group, with a Hazard Ratio (HR) of
1.78 (95% CI 1.47-2.16) and a log-rank P value of 2.9e-09. Statistical significance was
set at p < 0.05. Univariate Cox regression identified MMP2 as a risk factor for gastric
cancer patients

Conclusion:
Our findings highlighted MMPs' essential role in gastric cancer
progression, impacting patient survival. MMP2 emerged as a promising target for
gastric carcinoma detection and treatment.
HDAC6: Tumor Progression and Beyond
Authors: Oliveira-Silva João Marcos , de Oliveira Leilane Sales , Tagliéri João Vitor Marangoni , Lopes Laís Bernardo , de Souza Carlos Vinicius Expedito , Batistão Hanna Karolina de Araújo , Castro-Gamero Angel Mauricio 
Published: January 2025

Abstract:
Histone Deacetylase 6 (HDAC6) is an intriguing therapeutic target in cancer re-search, distinguished as the only HDAC family member predominantly located in the cyto-plasm. HDAC6 features two catalytic domains and a unique ubiquitin-binding domain, which sets it apart from other HDACs. Beyond its role in histone deacetylation, HDAC6 targets vari-ous nonhistone substrates, such as α-tubulin, cortactin, Heat Shock Protein 90 (HSP90), and Heat Shock Factor 1 (HSF1). Its involvement spans critical aspects of tumor progression, in-cluding invasion, metastasis, angiogenesis, drug resistance, stemness, and the reduction of tu-mor cell immunogenicity. Given these functions, HDAC6 inhibitors are emerging as valuable tools in the treatment of both solid and hematological tumors. Recent advancements have seen several HDAC6 inhibitors to enter clinical trials, with promising outcomes reported. This re-view covers the structural features of HDAC6, its biological roles, and its impact on tumor development, particularly focusing on progression-related events. Additionally, a detailed dis-cussion of preclinical and clinical trials involving selective HDAC6 inhibitors is provided.
Imaging and Clinical Features of Primary Thoracic Lymphangioma
Authors: Zhang Mingxia , Li Ling , Huo Meng , Sun Lei , Zhang Chunyan , Sun Ying , Wang Rengui 
Published: January 2025

Background:
Primary thoracic lymphangioma is a rare disease. Most of the previous studies are comprised of individual case reports, with a very limited number
of patients included.

Objective:
This study aims to investigate the chest computed tomography (CT) imaging features and clinical manifestations of thoracic lymphangioma,
thereby enhancing our understanding of the condition.

Methods:
A retrospective analysis was conducted on 62 patients diagnosed with thoracic lymphangioma, comprising 32 males and 30 females. The study
focused on analyzing the chest CT imaging features and the clinical manifestations observed in these patients.

Results:
The incidence rates of thoracic lymphangioma did not differ significantly between males and females; however, it was more frequently observed in children and adolescents. The most common clinical symptoms included cough, fever, chylothorax, chylous pericardium, and lymphedema. The mediastinum (82.3%) emerged as the most frequent location for thoracic lymphangioma, followed by the chest wall (62.9%), bone (40.3%), and pleura (32.3%). Pulmonary lymphangioma, the least prevalent subtype (19.4%), exhibited a propensity to induce respiratory symptoms, frequently manifesting as a generalized lymphatic anomaly (GLA). Furthermore, elevated levels of D-dimer were detected in 34 patients (54.8%) with thoracic lymphangioma.

Conclusions:
Imaging examinations play a crucial role in assisting clinicians in making more accurate early diagnoses of thoracic lymphangioma. They are also
helpful for assessing the extent of systemic infiltration and enhancing diagnostic precision. With radiological assessment, clinicians could more
readily select appropriate therapeutic treatments and monitor the progression of follow-up care.
Modeling for Copper Recovery from E-Waste by Using Machine Learning Technique: An Approach for the Circular Economy
Authors: Srivastava Sunil Kumar , Shrivastava Rahul 
Published: January 2025

Background:
Copper, a precious metal in e-waste, presents a substantial economic opportunity.
The study estimates that ~322000 tons of copper are discarded annually worldwide as ewaste.
Given the significant financial value of copper, its recovery from e-waste is beneficial and
crucial. This process also plays a pivotal role in waste management and recycling hazardous waste.
The potential reduction in e-waste in landfills is a direct result of this strategic approach to waste
management, offering a more sustainable and optimistic outlook for the future. This research paves
the way for a future where e-waste is no longer a burden on our environment.

Methodology:
This study is structured around a robust two-step process. It begins with an experiment
focused on copper recovery using hydrometallurgical methods. The modeling leverages the
power of artificial intelligence (AI) and machine learning techniques to predict copper recovery from
e-waste. This innovative approach not only promises but also has the potential to revolutionize the
field of copper recovery, inspiring further innovation and progress.

Results:
The model was developed using an Artificial Neural Network (ANN) and a Boosting Algorithm
(BA). Based on four crucial variables (H2SO4, H2O2, Solid/Liquid ratio, and Reaction Time),
this model provides a comprehensive understanding of Cu recovery. H2SO4 is a crucial component
during the leaching process; H2O2 facilitates Cu oxidation, the Solid/Liquid ratio affects the efficiency,
and Reaction Time determines the completion of the process. The ANN and BA-based models
yield satisfactory results in Cu recovery, achieving over 94% yield under optimized conditions.

Conclusion:
The model developed in this study can potentially revolutionize copper recovery. By
automating the process, we can significantly reduce the stress of copper mining, which relieves the
environment. We can also promote a circular economy, offering a promising future for sustainable
copper recovery. This could be a game-changer in the field of waste management and recycling.
Preparation of Photoelectrodes of Pd/Ag/TiO2 NTs and Photoelectrocatalytic Degradation of Tylosin
Authors: Bai Haina , Ren Guangqin , Liu Congze , Wang Xinyan , Zhang Jian , Li Rui 
Published: January 2025

Introduction:
In this study, aiming to solve the problem of difficult recovery of powder
catalysts in the treatment of antibiotic wastewater by photocatalytic technology, titanium dioxide
nanotubes (TiO2 NTs) photoelectrodes were prepared on titanium sheet substrates by anodic oxidation
method.

Methods:
The precious metals Pd and Ag were introduced to be co-deposited, which realized the
effective transfer of photogenerated electrons between the semiconductor and the precious metals
and remarkably improved the photoelectrocatalytic activity of the photoelectrodes.

Results:
The experimental results showed that the prepared Pd/Ag/TiO2 NTs composite photoelectrode
achieved a removal efficiency of 79.51% for tylosin (TYL) within 240 min, which was significantly
better than that of the pure TiO2 NTs (1.42-fold) and Ag/TiO2 NTs (1.05-fold) photoelectrodes.
Electrochemical analyses demonstrated that the loading of Ag and Pd on the surface of TiO2
NTs can effectively promote the transport and separation of photogenerated charge carriers, thus
improving the photoelectrocatalytic performance. In addition, the degradation process of TYL and
the dynamic changes of intermediates were deeply analyzed with the help of three-dimensional fluorescence
spectroscopy (3D EEMs) and two-dimensional correlation spectroscopy (2DCOS) techniques.

Conclusion:
This study provides not only an expanded application of solid catalysts in photoelectrocatalytic
treatment of antibiotic wastewater but also new insights for further investigation of the codeposition
of precious metals to improve photoelectrodes.
DRESS Mimicking Flushing Syndrome Associated with Vancomycin: A Case Report
Authors: Khanth P.E Sanjeev , Thangaraju Pugazhenthan , Gaikwad Nitin R. , Wasnik Preetam N. 
Published: January 2025

Background:
The Drug Reaction with Eosinophilia and Systemic Symptoms
(DRESS) is a serious adverse reaction that occurs weeks after the onset of drug exposure.
DRESS syndrome is commonly associated with antiseizure drugs, sulfa drugs, and antibiotics.

Case Presentation:
This was a case report of a 20-year-old female who suffered from DRESS
due to vancomycin with symptoms similar to the Redman syndrome. The patient had a case of
infectious endocarditis due to methicillin-resistant Staphylococcus aureus (MRSA), and vancomycin
was intravenously administered. On the 18th day, during the administration of vancomycin,
the patient developed sudden severe flushing over the face and trunk. The offending drug
was suspended and treated with antihistamines in view of Redman syndrome. Later, the patient
developed uncontrolled fever, desquamating rash all over the body, severe pruritis, and eosinophilia.
On applying the RegiScar score, a probable case of DRESS was diagnosed. The patient
was managed symptomatically and discharged.

Discussion:
The clinical presentation of DRESS includes skin rash, fever, eosinophilia, and organ
involvement. But, in this case, there was a varied initial presentation of DRESS with severe
flushing, which mimics the Redman syndrome due to vancomycin. Difficulty in establishing organ
involvement remained a challenge in diagnosing DRESS.

Conclusion:
DRESS can have a varied clinical presentation. Careful monitoring of all vital parameters
is important in preventing the misdiagnosis of DRESS syndrome.
The Dual Role of ADAMTS9-AS1 in Various Human Cancers: Molecular Pathogenesis and Clinical Implications
Authors: He Haodong , Yang Jingjie , Zhou Yan , Zheng Xinyan , Chen Lihan , Mao Zhujun , Liao Chuyuan , Li Tongtong , Liu Haoran , Zhou Gang , Li Houdong , Yuan Chengfu 
Published: January 2025

Abstract:
Long non-coding RNA (lncRNA) is a type of non-coding RNA distinguished by a length exceeding
200 nucleotides. Recent studies indicated that lncRNAs participate in various biological processes, such as chromatin
remodeling, transcriptional and post-transcriptional regulation, and the modulation of cell proliferation,
death, and differentiation, hence influencing gene expression and cellular function. ADAMTS9-AS1, an antisense
long non-coding RNA situated on human chromosome 3p14.1, has garnered significant interest due to its pivotal
involvement in the advancement and spread of diverse malignant tumors. ADAMTS9-AS1 functions as a competitive
endogenous RNA (ceRNA) that interacts with multiple microRNAs (miRNAs) and plays a crucial role in
regulating gene expression and cellular functions by modulating essential signaling pathways, including
PI3K/AKT/mTOR, Wnt/β-catenin, and Ras/MAPK pathways. Dysregulation of this factor has been linked to
tumor development, migration, invasion, and resistance to apoptotic mechanisms, including as iron-induced apoptosis,
underscoring its intricate function in cancer pathology. While current research has clarified certain pathways
involved in cancer formation, additional clinical and in vivo investigations are necessary to enhance comprehension
of its specific involvement across various cancer types. This review encapsulates the recent discoveries
on the correlation of ADAMTS9-AS1 with numerous malignancies, clarifying its molecular mechanisms and
its prospective role as a therapeutic target in oncology. Furthermore, it identifies ADAMTS9-AS1 as a potential
early diagnostic biomarker and therapeutic target, offering novel opportunities for targeted intervention in oncology.
Field Tests of Soil Properties under Water Tanks
Authors: Ahmeti Muhamet , Ahmeti Hysen 
Published: January 2025

Aim
This paper aimed to show through the achieved results the characteristics of the soil for the placement of water tanks in the study area (located on the northern side of the city of Prizren).

Objectives
CPT, CPTU, VST, and DMT procedures have been used to determine the research area's necessary and adequate parameters in order to construct the engineering object.

Introduction
The purpose of the study was to understand and characterize a place for the purpose of building engineering objects, for which field tests of soil qualities are crucial.

Methods
A work methodology with two phases was employed to complete the project. Fieldwork was the focus of the first stage, while analysis, interpretation, and paper writing comprised the second stage that followed.

Results
The ASTM D 1586 and AASHTI T-206 standards' requirements were followed in carrying out the tests. In the static penetration test, a pipe with a diameter of 36 mm and a surface area of 10 cm2 was utilized, and the test was conducted by placing the pipe vertically on the ground and measuring the number of blows. According to ASTM D1194, the plate loading test was conducted. The groundwater level was discovered to be at a depth of 4 m, while the static penetration test revealed the sand layer to have a respectable thickness. The values of the substrate reaction modulus (Ks) ranged from 17x104 to 22x104 kN/m3. Ten vertical tests using the plate-shear test method were also conducted in this study region, and the results are displayed in Fig. (10) (p-curve). The results of this work are a very important tool in the examination and analysis of land for the construction of various construction facilities, providing an example for engineers of how the procedures should be analyzed.

Conclusion
The area studied in this work is located in Prizren's northern region. In medium- to dense-grained soils, the findings of the common penetration test and the plate load test may be comparable. A plate bearing test can be used to predict the bearing capacity of a superficial layer of soil without the need for an extensive soil analysis, which will save time and money. Alternative tactics, such as plate-bearing tests, may be employed if comprehensive investigations are not practical.
Is There Any Role for Bach Flowers, Lavender Oil and Hypericum in Psychiatry?
Authors: Marazziti Donatella , Gurrieri Riccardo , Crivelli Nicola Schulz Bizzozzero , Arone Alessandro 
Published: January 2025

Introduction/Objective:
Alternative medicine is a term encompassing several approaches
proposed for their healing effects instead of conventional medicine. The present narrative review
aimed at exploring the possible use of some popular alternative treatments to manage anxiety and
depression, with a specific focus on Bach flowers, lavender oil, and Hypericum which are among the
most popular alternative remedies in Italy.

Methods:
A thorough search was conducted across electronic databases, such as PubMed, Google
Scholar, and PsycINFO for English-written papers published in peer-reviewed journals, available in
full-text or abstract. The primary keywords included “Alternative medicine”, “Anxiety”, “Depression”,
“Bach Flowers”, “Lavender Oil”, and “Hypericum”. Studies were included if they met the
following criteria: focus on the Bach flowers, lavender oil, or hypericum, in the treatment or management
of anxiety and depression.

Results:
The scientific evidence supporting the benefits of Bach flowers for anxiety and depression
is still inconclusive, with some studies suggesting potential benefits in reducing anxiety symptoms
and other showing no significant effects. Lavender oil has been explored for its potential therapeutic
effects on anxiety and depression, but even in this case the overall findings remain controversial due
to methodological limitations. St. John’s Wort (or Hypericum) showed some effect in mild to moderate
depression, with efficacy comparable to standard antidepressants and fewer side effects, although
its use requires careful cautions when prescribed with other drugs.

Conclusion:
The overall findings of the present review would indicate that the scientific evidence
about the possible usefulness of Bach flowers, lavender oil, and Hypericum is limited. If the effectiveness
of Bach flowers is controversial, some potential benefits of lavender oil and Hypericum
have been reported, however they need to be replicated and deepened in controlled clinical studies.
RSSI Enabled Routing in Fiber Wireless Access Network
Authors: Solanki Sangita , Upadhyay Raksha , Bhatt Uma Rathore , Bhat Vijay 
Published: January 2025

Introduction:
There are various concerns in Fiber wireless access networks, such as
ONU placement, survivability, network planning and its cost, architectural developments, etc.
In this paper, we have focused on front end survivability of the network, which mainly depends on
the routing algorithms employed at the front end of the network.

Method:
The effectiveness of the proposed scheme lies in finding the next alternate path in case of
link/component failure with minimum delay. Hence, delay is the appropriate parameter to evaluate
the efficacy of the proposed technique. In this paper, RSSI-based routing (RBRA) is proposed for
various cases of link failures. Delay performance for each of the cases has been compared with two
previous approaches maximum protection minimum link cost (MPMLC) and minimum hop
routing algorithm (MHRA).

Result:
It is found that RBRA performs better than MPMLC and MHRA. For single link failure
and two source destination pairs in the network with 50 wireless routers delay decreases by 58 % and 37 % in RBRA as compared to MHRA and MPMLC, respectively.

Conclusion:
Hence, these algorithms can be integrated with RSSI-based route selection. This could
be an attractive future direction for research.
Penerapan Metode K-Means Clustering dalam Pengelompokan Provinsi-Provinsi di Indonesia Berdasarkan Produktivitas Tanaman Pangan
Authors: Olivya angellina  , Asma’ Khoirunnisa'  , Yunita Putri Utami  
Published: January 2025

Produktivitas bahan pangan menjadi tolak ukur yang krusial dalam menentukan kesejahteraan dan ketahanan pangan suatu bangsa. Oleh sebab itu penelitian ini bertujuan untuk melihat bagaimana pengelompokkan provinsi di Indonesia berdasarkan produktivitas bahan pangan. Data yang digunakan dalam penelitian ini adalah data sekunder yang bersumber dari Badan Pusat Statistik yang berisikan produktivitas bahan pangan di Indonesia berdasarkan 34 provinsi pada tahun 2015. Ada tujuh variabel yang akan digunakan dalam penelitian ini yaitu produktivitas padi, produktivitas jagung, produktivitas kedelai, produktivitas kacang tanah, produktivitas kacang hijau, produktivitas ubi kayu dan produktivitas ubi jalar. Untuk melakukan pengelompokan, dengan bantuan program RStudio digunakan analisis K-Means clustering, dimana analisis ini dapat mengelompokkan objek-objek yang melibatkan pengiraan yang efisien dan tidak memerlukan banyak parameter. Dari hasil penelitian diperoleh dua cluster, yakni cluster 1 untuk provinsi dengan produktivitas bahan pangan tinggi dan cluster 2 untuk provinsi dengan produktivitas bahan pangan rendah. Cluster 1 terdiri dari 20 provinsi, sedangkan cluster 2 terdiri dari 14 provinsi antara lain Provinsi Riau, Kepulauan Bangka Belitung, Kepulauan Riau, DKI Jakarta, Bali, Nusa Tenggara Timur, Kalimantan Barat, Kalimantan Tengah, Kalimantan Utara, Sulawesi Utara, Sulawesi Tenggara, Maluku Utara, Papua Barat, dan Papua.
Pelabelan Berbasis Jarak Pada Beberapa Kelas Graf
Authors: Komarullah Hafif 
Published: January 2025

Teori graf terus berkembang sejak pertama kali dikenalkan oleh Leonhard Euler pada 1736. Topik yang terus dikembangkan adalah pelabelan graf yang salah satu jenisnya adalah pelabelan Pelabelan didefinisikan sebagai fungsi yang memetakan titik graf ke bilangan bulat non negatif dengan syarat titik yang berjarak satu memilik mutlak selisih label minimal dua dan titik yang berjarak dua memiliki mutlak selisih label minimal satu. Konsep pelabelan terfokus dalam menentukan nilai minimum label terbesar yang dinotasikan dengan . Dalam paper ini akan dibahas ini akan dibahas mengenai pelabelan pada graf gunung api, graf pot bunga, dan graf pohon palem.
Pelabelan L(2,1) Pada Graf Hasil Amalgamasi Titik
Authors: Komarullah Hafif 
Published: January 2025

Pelabelan graf merupakan salah satu topik dalam teori graf yang terus eksis. Pelabelan graf merupakan suatu teknik pemberian label berupa bilangan bulat non negatif pada anggota graf berupa titik, sisi, atau keduanya dengan syarat-syarat tertentu. Salah satu pelabelan titik adalah pelabelan L(2,1) yang didefinisikan sebagai pemetaan titik graf ke bilangan bulat non negatif dengan syarat titik yang berjarak satu memiliki mutlak selisih label minimal dua dan titik yang berjarak dua memiliki mutlak selisih label minimal satu. Paper ini akan mencari nilai minimum label terbesar atau disebut nilai minimum pada graf hasil amalgamasi titik. Graf adalah graf yang diperoleh dengan salinan dari graf dengan mengidentifikasi salinan dari graf pada titik tetap . Graf yang dipilih dalam paper ini adalah graf dengan merupakan graf kipas, graf roda, graf bunga, dan graf (CnxP2)+K1.
Modifikasi Sandi Algoritma Hill Cipher Dengan Kunci Berentry Barisan Fibonaci
Authors: Nurfadila Rizqy Amalia , Komarullah Hafif , Saputri Maura Delva 
Published: January 2025

Teknologi komunikasi semakin canggih, teknologi ini sangat dibutuhkan dan dimanfaatkan secara berkelanjutan oleh manusia. sehingga perlu adanya pengamanan dalam menggunakan teknologi komunikasi saat ini. Kriptografi merupakan cabang ilmu matemtatika yang mempelajari tentang penyandian pesan. Kriptografi sudah berkembang sejak tahun 1970. Enkripsi digital dimulai pada tahun 1970 dengan upaya Feistel IBM dan mencapai puncaknya pada tahun 1977 ketika Amerika Serikat mengadopsi sistem enkripsi DES (Data Encryption Standard). Standar pemrosesan data federal untuk enkripsi informasi rahasia. Terdapat banyak macam algoritma dalam enkripsi kriptografi salah satunya algoritma Hill Cipher. Hill cipher merupakan salah satu algoritma kriptografi kunci simetris. Algoritma Hill cipher menggunakan matriks berukuran sebagai kunci untuk melakukan enkripsi dan dekripsi. Dalam penelitian ini peneliti memanfaatkan barisan fibonaci sebagai kunci dalam melakukan enkripsi dan deskripsi pada algoritma Hill cipher.