bluuebunny/crossref_metadata_2025_split huggingface dataset:
Therapist perspectives on telehealth-based virtual reality exposure therapy
Authors: Ong Triton , Wilczewski Hattie , Soni Hiral , Ivanova Julia , Barrera Janelle , Cummins Mollie , Welch Brandon , Bunnell Brian 
Published: July 2023

Abstract
Virtual reality (VR) can enhance mental health care. In particular, the effectiveness of VR-based exposure therapy (VRET) has been well-demonstrated for treatment of anxiety disorders. However, most applications of VRET remain localized to clinic spaces. We aimed to explore mental health therapists’ perceptions of telehealth-based VRET (tele-VRET) by conducting semi-structured, qualitative interviews with 18 telemental health therapists between October and December 2022. Interview topics included telehealth experiences, exposure therapy over telehealth, perceptions of VR in therapy, and perspectives on tele-VRET. Therapists described how telehealth reduced barriers (88.9%, 16/18), enhanced therapy (61.1%, 11/18), and improved access to clients (38.9%, 7/18), but entailed problems with technology (61.1%, 11/18), uncontrolled settings (55.6%, 10/18), and communication difficulties (50%, 9/18). Therapists adapted exposure therapy to telehealth by using online resources (66.7%, 12/18), preparing client expectations (55.6%, 10/18), and adjusting workflows (27.8%, 5/18). Most therapists had used VR before (72.2%, 13/18) and had positive impressions (55.6%, 10/18), but none had used VR clinically. In response to tele-VRET, therapists requested interactive session activities (77.8%, 14/18) and customizable interventions components (55.6%, 10/18). Concerns about tele-VRET included risks with certain clients (77.8%, 14/18), costs (50%, 9/18), side effects and privacy (22.2%, 4/18), and inappropriateness for specific forms of exposure therapy (16.7%, 3/18). These results show how designing for telehealth may extend VRET and can help inform collaborative development of health technologies.
The Prediction of Ultimate Base Shear of BRB frames under push-over using ensemble methods and Artificial neural networks
Authors: Al-Ghabawi Humam , Khattab Mustafa. M. , Zahid Idrees A. , Al-Oubaidi Bilal 
Published: July 2023

Abstract
This study aims to develop machine learning (ML) models that can predict the base shear of buckling restrained braced frames (BRBF). four machine learning (ML) algorithms (Random Forest, Artificial Neural Network (ANN), XGBoost, and Adaboost) were used to conduct this task. The training data were generated by conducting pushover analysis in OpenSeesPy. The BRBF model in OpenSeesPy considered both geometric and material nonlinearity. Six different configurations were used in this study. Each data point has unique frame properties (column, beam, BRB, boundary condition, leaning column and dead load, number of bays and stories, bay width, and story height). The learning and testing process were carried out for each BRB configuration individually and then combining the data of all the configurations. several statistical analyses were done to evaluate the prediction model and to study the importance of the BRBF properties based on their influence on the prediction. For that matter, the number of stories had the highest effect on the prediction values, and it shows the higher the number of stories the lower the maximum base shear that can be provided for that frame. The second most important feature is the core area of the BRB where increasing the core area increases the base shear and vice versa. Furthermore, XGboost showed the best predicted results followed by Adaboost, Random Forest, and Finally Artificial Neural Network (ANN). Finally, a graphical user interface based on the models was developed for the preliminary estimation of the base shear of buckling restrained braced frames.
Does the Opening of Ports and Trading Affect Long- term Green Economic Efficiency?Evidence from China’s Yangtze River Delta
Authors: Chen Haisheng , Shen Manhong 
Published: July 2023

Abstract
Taking the Yangtze River Delta of China as a case study, the SBM model GML index is used to measure urban green total factor productivity (GTFP), green technical efficiency (EC) and green technological progress (TC) respectively, and the multi-period spatial DID method is applied to empirically demonstrate the long-term heterogeneous effects of the late Qing Dynasty's open port and trade policy on urban green economic efficiency. The study concludes that (1) the late Qing Dynasty's policy of opening ports for trade objectively increased the city's long-term green total factor productivity (GTFP) and green technical efficiency (EC), but had an insignificant effect on green technological progress (TC). (2) The Treaty of Shimonoseki was a watershed in the long-term impact of the port-opening and trading policy on green economic efficiency, with the port-opening and trading policy implemented before 1895 boosting urban GTFP and EC, and the port-opening and trading policy implemented after 1895 having a negative impact on urban GTFP, EC and TC. (3) Long-term GTFP, EC and TC were negatively affected by the opening of ports and trading policies in cities where the governors were based, while opening of ports and trading policies in cities where the governors were not based had a positive effect on long-term GTFP, EC and TC. (4) Western powers following the civil law tradition had a more prominent long-term impact on the green economic efficiency of economically invaded cities than did common law countries. This paper appropriately verifies the long-term impact of open history on a city's green economic efficiency, which is instructive for better understanding, formulating and improving foreign opening policies in the new era.
Development of an Efficient, Effective, and Economical Technology for Proteome Analysis
Authors: Yu Yanbao , Martin Katherine , Le Ha , Yang Canyuan , Lu Guotao , Zhang Xiaohui , Grimes Catherine , Zhuang Zhihao , Asare-Okai Papa Nii 
Published: July 2023

Abstract
Proteomics experiments have typically high economic and technical barriers to broad biomedical scientists, which not only result in costly supplies and accessories for sample preparation but also the reluctance to adapt new techniques. In the present study, we present an effective and efficient, yet economical technology, which we call E3technology, for proteomics sample preparation. By immobilizing silica microparticles into a polytetrafluoroethylene (PTFE) matrix, we developed a novel medium, which could be used as a robust and reliable proteomics platform to generate LCMS-friendly samples in a rapid and low-cost fashion. Using different formats of E3technology, including E3tip, E3filter, E3cartridge, and E3plate, we explored a variety of sample types in varied complexity, quantity, volume, and size, including bacterial, fungi, mammalian cells, mouse tissue, and human body fluids. We benchmark their performance against several established approaches. Our data suggest that E3technology outperforms many of the currently available techniques in terms of proteome identification and quantitation. It is widely applicable, highly reproducible, readily scalable and automatable, and is user-friendly and stress-free to non-expert proteomics laboratories. It does not require specialized expertise and equipment, and significantly lowers the technical and economical barrier to proteomics experiments. An enhanced version, E4technology, also opens new avenues to sample preparation for low input and/or low-cell proteomics analysis. The presented technologies by our study represent a breakthrough innovation in biomedical science, and we anticipate widespread adoption by the proteomics community.
Structure-property relations in Pb-supersaturated metastable Sn-rich Pb-Sn alloys
Authors: Friák Martin , Čípek Petr , Pavlů Jana , Zobač Ondřej , Roupcová Pavla , Miháliková Ivana , Holec David , Msallamová Šárka , Michalcová Alena 
Published: July 2023

Abstract

We have performed a theoretical study of three different allotropes of Pb-supersaturated Sn-rich Pb-Sn alloys with the α-Sn, β-Sn and a simple hexagonal γ-Sn structure employing quantum-mechanical calculations. Structure-property relations were analyzed in the case of the lattice parameters, thermodynamic stability, elastic properties and mechanical stability as well as electronic-structure density of states. Compositional trends in structural, thermodynamic and electronic-structure properties were found nearly linear. Our theoretical study sheds new light on a decades-long controversy related to the γ-phase of supersaturated Sn-rich Pb-Sn alloys. We suggest that the experimental difficulties to synthesized the γ-phase solid solutions are due to the high formation energy of this phase.
Auto-enhanced population diversity and ranking selection-based differential evolutionary algorithm applied to the optimal design of water distribution system
Authors: Du Kun , Xiao Bang , Xu Wei , Liu Zilian , Song Zhigang , Tang Zhiyi , Zheng Feifei 
Published: July 2023

Abstract

The differential evolution (DE) algorithm is considered the most powerful evolutionary algorithm (EA) for the optimal design of water distribution systems (WDSs). However, when dealing with large-scale WDS optimization, issues such as premature convergence become a concern. This paper presents an auto-enhanced population diversity and ranking selection-based differential evolutionary (AEPD-RSDE) algorithm for the optimal design of WDSs, which is the first work that incorporates an AEPD strategy to avoid the premature convergence issue and enhance the exploration ability of DE applied to WDS optimization. Besides, the proposed algorithm includes a ranking selection strategy that replaces the tournament selection operator to enhance convergence speed. Three well-known WDSs, i.e., the New York Tunnels (NYT), the Hanoi network (HAN), and the Balerma irrigation network (BIN), were used to validate the proposed algorithm. Results indicate the proposed algorithm is able to find the current best solution, with a success rate of 100% for the NYT and HAN cases and lower average cost solution of €1.921 million for the BIN case relative to other EAs. Instead of solely focusing on ultimate performance comparison, search behavior analyses are conducted between different mutation and selection operators, offering deep insight to guide the development of more advanced EAs.
Medicinal Plants for the Treatment of Neuropathic Pain: A Review of Randomized Controlled Trials
Authors: Ahmadzadeh Amir Mahmoud , Pourali Ghazaleh , Mirheidari Seyed Behzad , Shirazinia Matin , Hamedi Mahdieh , Mehri Ali , Amirbeik Hesam , Saghebdoust Sajjad , Tayarani-Najaran Zahra , Sathyapalan Thozhukat , Forouzanfar Fatemeh , Sahebkar Amirhossein 
Published: July 2023

Abstract:Neuropathic pain is a disabling condition caused by various diseases and can profoundly impact the quality of life. Unfortunately, current treatments often do not produce complete amelioration and can be associated with potential side effects. Recently, herbal drugs have garnered more attention as an alternative or a complementary treatment. In this article, we summarized the results of randomized clinical trials to evaluate the effects of various phytomedicines on neuropathic pain. In addition, we discussed their main bioactive components and potential mechanisms of action to provide a better view of the application of herbal drugs for treating neuropathic pain.
Emerging Therapies and Therapeutic Targets for Composite Liver Disease: NASH
Authors: Sobhia M. Elizabeth , Kumari Sonia , Kumar Harish , Gandhe Akshata , Kaushik Dhriti , Kumar Harish , Jain Jethender , Ankita  , Mallick Moyim , Pavani Bommana , Moudgil Mridula , Patel Deepesh 
Published: July 2023

Background:Liver diseases continue to destroy the lives of people, one of which is known as Non-alcoholic Steatohepatitis (NASH) that becomes a serious liver disease all around the world over the last few years. Non-alcoholic Steatohepatitis (NASH) is a progressive form of Nonalcoholic Fatty Liver Disease (NAFLD) and is characterized by liver steatosis, inflammation, different degrees of fibrosis, and hepatocellular injury. The inflammatory mediators play a vital role in the transition of Non-alcoholic Fatty Liver (NAFL) to Non-alcoholic Steatohepatitis (NASH), which further leads to Hepatocellular Carcinoma (HCC) and becomes a cause of liver transplantation.Objective:Considering the severity and complexity of the disease, we aim to summarize the works of various research groups that are working in the area of NASH to find a sophisticated treatment.Results:The present review focused on various factors that are responsible for the development and progression of this prevalent disease, emerging pharmacotherapies as well as therapeutic targets that have been utilized for the treatment of NASH. We also have conducted the structural analysis of available targets, which will be helpful for the enhancement of drug discovery through the implementation of in silico methods.Conclusion:Efforts have been made to provide an update on research in the area of NASH, including the pharmacological agents that are currently undergoing clinical trials for the treatment of NASH. Besides the massive research, still, gaps and challenges are there in the drug development for NASH that also have been discussed.
Proteome Profiling of Serum Exosomes from Newborns with Lung Injury after Perinatal Asphyxia
Authors: Shen Feifei , Li Ying , Gu Wenjing , Yu Xingmei , Wu Youjia , Suo Guihai , Zheng Yuqin , Li Haiying , Hao Chuangli 
Published: July 2023

Background:Neonate lung injury is a common phenomenon after perinatal asphyxia.Objective:To evaluate proteomic profiles of exosomes isolated from lung injury offspring serum after perinatal asphyxia.Methods:Serum samples were collected at 12 h, 24 h, and 72 h after birth in neonates with perinatal asphyxia-induced lung injury. Exosomes were isolated, and the concentration and size distribution were assessed. The exosome surface markers CD9, CD63, CD81, HSP70, and TSG101 were detected by Western blot. The exosome proteins were evaluated by quantitative proteomics using a tandem mass tag (TMT). All the identified proteins were submitted to the Weighted Gene Co-Expression Network Analysis (WGCNA), GO function, and KEGG pathway analysis. A protein-protein interaction network (PPI) was utilized to identify hub proteins with the Cytohubba plugin of Cytoscape.Results:The exosomes were round or oval vesicular structures at a diameter range of 100-200 nm, and the size distribution was standard and consistent. Exosome surface markers CD9, CD63, CD81, HSP70, and TSG101 were detected. 444 out of 450 proteins were mapped with gene names. A brown module containing 71 proteins was highly linked with the 12 h phenotype and was predominantly concentrated in lipoprotein and complement activation. The top 10 proteins, APOA1, APOB, APOE, LPA, APOA2, CP, C3, FGB, FGA, and TF, were determined as hub proteins.Conclusion:The present study demonstrates comprehensive information for understanding molecular changes of lung injury following perinatal asphyxia, which provides a reliable basis for screening potential biomarkers and therapeutic targets in the clinic.
Fragment-based Drug Discovery Successful Contributions to Current Pharmacotherapeutic
Agents Arsenal against Aggressive Cancers: A Mini-Review
Authors: Santos Leandro Marcos , da Silveira Nelson José Freitas 
Published: July 2023

Abstract:
After a decade of approval of the drug vemurafenib in 2011, the hopeless scenario imposed by some severe
cancer types has been mitigated by the magic bullets developed through fragment-based drug discovery. Moreover, this
recent approach to medicinal chemistry has been successfully practiced by academic laboratories and pharmaceutical
industry workflows focused on drug design with an enhanced profile for chemotherapy of aggressive tumors. This
mini-review highlights the successes achieved by these research campaigns in the fruitful field of the molecular fragment
paradigm that resulted in the approval of six new anticancer drugs in the last decade (2011-2021), as well as
several promising clinical candidates. It is a particularly encouraging opportunity for other researchers who want to
become aware of the applicability and potency of this new paradigm applied to the design and development of powerful
molecular weapons in the constant war against these merciless scourges of humanity.
CD163 as a Potential Biomarker-associated Immune Inflammation in
Diabetes Mellitus: A Systematic Review and Bioinformatics Analysis
Authors: Cao Yang , Liang Ning , Kong Kaili , Qiao Xiaomei , Liu Ting , Fang Jing-ai , Zhang Xiaodong 
Published: July 2023

Background:
Several studies have identified CD163 as a potential mediator of diabetes melli-tus through an immune-inflammation. Further study is necessary to identify its specific mechanism.

Objective:
In this study, we aimed to investigate CD163 as a potential biomarker associated with immune inflammation in diabetes mellitus through a systematic review and bioinformatics analysis.

Methods:
We searched PubMed, Web of Science, the Cochrane Library, and Embase databases with a time limit of September 2, 2022. Furthermore, we conducted a systematic search and review based on PRISMA guidelines. Additionally, diabetic gene expression microarray datasets GSE29221, GSE30528, GSE30529, and GSE20966 were downloaded from the GEO database (http://www.ncbi.nlm.nih.gov/geo) for bioinformatics analysis. The PROSPERO number for this study is CRD420222347160.

Results:
Following the inclusion and exclusion criteria, seven articles included 1607 patients, comprising 912 diabetic patients and 695 non-diabetic patients. This systematic review found significantly higher levels of CD163 in diabetic patients compared to non-diabetic patients. People with diabetes had higher levels of CRP expression compared to the control group. Similarly, two of the three papers that used TNF-α as an outcome indicator showed higher expression levels in diabetic patients. Furthermore, IL-6 expres-sion levels were higher in diabetic patients than in the control group. A total of 62 samples were analyzed by bioinformatics (33 case controls and 29 experimental groups), and 85 differential genes were identified containing CD163. According to the immune cell correlation analysis, CD163 was associated with mac-rophage M2, γδ T lymphocytes, macrophage M1, and other immune cells. Furthermore, to evaluate the diagnostic performance of CD163, we validated it using the GSE20966 dataset. In the validation set, CD163 showed high diagnostic accuracy.

Conclusion:
This study suggests CD163 participates in the inflammatory immune response associated with diabetes mellitus and its complications by involving several immune cells. Furthermore, the results suggest CD163 may be a potential biomarker reflecting immune inflammation in diabetic mellitus.
EFFECTIVENESS OF PLATELET TRANSFUSION IN DENGUE PATIENTS IN A TERTIARY CARE HOSPITAL
Authors: V. VIJAY ANAND , SHARMA ANKIT 
Published: July 2023

Objective: Dengue has been emerging as rapidly spreading and dreaded mosquito-borne disease caused by the bite of Aedes Aegypti Mosquito. Clinical features are variable and presents with Dengue fever or Dengue Hemorrhagic fever or more severe Dengue shock syndrome. Thrombocytopenia is presenting feature in all Dengue cases and some often presents with bleeding. Platelet transfusions are given in patients with haemorrhagic symptoms. While medical fraternity globally recognizes the role of platelet transfusion in the management of hospitalized dengue patients the exact indications and situations in which these are to be transfused may vary. Since there is inherent risk associated with the transfusion of blood/blood-component, it is imperative for each institution (or country) to lay their own criteria for transfusion of these blood components. The present study was conducted to lay precise criteria and transfusion trigger for platelet transfusion in our setup.
Methods: The present study was conducted on 225 serologically confirmed dengue patients admitted at sawaimansign Hospitals between 1" of August to 30th of November 2022. Clinical data, reports of hematological investigation, platelets requirements and data obtained from SHealth services.
Results: In the serologically confirmed cases, the prevalence of thrombocytopenia (count less than 100,000/cumm) was 84.88% on admission and bleeding was recorded in 22 (9.7%) patients. About 96 (42.6%) patients of dengue cases received platelet transfusion. Among them 47 (20.88%) patients had a platelet count<20,000/cumm, 43 (19.11%) had a platelet count in the range of 21-40.000/cumm, while 6 (2.66%) patients had the platelet count in between 41 and 50.000/cumm. Out of 49 patients with a platelet count>20,000/cumm, 18 patients had hemorrhagic manifestations such as petechiae, gum-bleeding, epistaxis, etc., which necessitates the use of platelet transfusion. However, 31 patients received inappropriate platelet transfusion.
Conclusion: This study suggests that bleeding occurs more often in patients with severe thrombocytopenia. High-risk patients having platelet count<20,000/cumm and risk of bleeding require urgent platelet transfusion. Patients with a platelet count 21-40,000/cumm are in moderate risk and require platelet transfusion only if they have any haemorrhagic manifestations and other superadded conditions.
PENGEMBANGAN VIDEO PEMBELAJARAN BERBASIS PEMECAHAN MASALAH BERBANTUAN ADOBE CAPTIVATE MATERI MATRIKS DI SEKOLAH MENENGAH KEJURUAN (SMK) 3 KOTABUMI
Authors: Rahmawati Nisa Umi , Nugroho Purna Bayu , Dinata Karsoni Berta 
Published: July 2023

"Matematika adalah bahasa simbolis yang maknanya bersifat universal” (Siagian, 2017). Menurut Simamora (2014), "secara etimologis matematika bersumber dari kata yunani mathematike yang berarti bertalian dengan pengetahuan. Jadi, berdasarkan kata asalnya istilah matematika berarti pengetahuan yang diperoleh dari kegiatan belajar”. Matematika termasuk salah satu cabang ilmu pengetahuan yang memegang peranan penting pada perkembangan ilmu pengetahuan dan teknologi, sehingga dapat digunakan sebagai alat bantu bagi disiplin ilmu lain serta perkembangan matematika itu sendiri. Hal itu senada dengan peran penting matematika yang dikemukakan oleh Khotimah (2019) bahwa matematika dikenal luas sebagai alat penting untuk sains, teknologi, perdagangan dan untuk masuk ke banyak profesi.