bluuebunny/crossref_metadata_2025_split huggingface dataset:
3D Bioprinting and Microfluidic-Based Devices for Cancer Detection and Drug Treatment: Focus on Prostate Cancer
Authors: Sibbits Jay , Di Pietro Lucia , Privitera Anna , Cardaci Vincenzo , Maugeri Salvatore , Camarda Massimo , Caruso Giuseppe 
Published: March 2024

Abstract:
The burden of increasing cancer incidence among the population, and, in particular,
of prostate cancer in men living in highly developed countries, brings with it, on
one hand, the need for new devices that allow a faster and earlier diagnosis, ideally in a
non-invasive way and with low consumption of expensive reagents, and on the other the
need for the assessment of new in vitro models that allow a more reliable assessment of
cancer features, including its microenvironment and sensibility to different drugs. At the
crossroads of these features, microfluidic devices are found. These, taking advantage of
the chemical-physical properties of cells and human samples, have demonstrated great
sensitivity and sensibility at an on-chip scale. Many fields of biomedical sciences have
tried to exploit all their potentialities: from the detection of antigens in the early phases
of the disease (when they are very low concentrated, but the treatment is more effective)
to isolation and characterization of circulating tumor cells. However, the development of
in vitro 3D models to better assess and comprehend the fundamental dynamics of tumor
microenvironment and metastasis using 3D bioprinting techniques. The aim of the present
review is to describe the potential of these two different cutting-edge technologies
for the detection and treatment of prostate cancer, in the perspective of a possible future
combination of them that allows scientists to fill the gaps present in the field to improve
patient care and treatment.
Drug Design for Alzheimer’s Disease: Biologics vs. Small Molecules
Authors: Weaver Donald F. 
Published: March 2024

Abstract:
There shall probably be no “magic bullet” for Alzheimer’s; rather, we should be pursuing
a “magic shotgun blast” that will target multiple complementary therapeutic receptors. Although
protein misfolding/oligomerization will probably be one of these targets, this alone is insufficient
and will require the co-administration of other therapeutic entities engaging targets, such as
immunopathy, gliopathy, mitochondriopathy, synaptotoxicity or others. Although polypharmacy
is emerging as the preferred therapeutic route, many questions remain unanswered. Should this be
a cocktail of biologics, a concoction of small molecules, or a judicious combination of both? Biologics
and small molecule drugs display both strengths and weaknesses. When addressing a disease
as complex and globally important as Alzheimer’s, there should be room for the continuing
development of both of these therapeutic classes. Each has much to offer, and when used with
their advantages and disadvantages in clear focus, an ultimate solution will probably require contributions
from both.
Revolutionizing Cancer Research and Drug Discovery: The Role of Artificial
Intelligence and Machine Learning
Authors: Paliwal Ajita , Alam Md Aftab , Sharma Preeti , Jain Smita , Dhoundiyal Shivang 
Published: March 2024

Abstract:
Artificial Intelligence (AI) and Machine Learning (ML) have revolutionized various industries, including cancer research and drug discovery. This article provides a summary of the history of
AI and ML, highlighting their resurgence in the 1990s with advancements in computational power
and new algorithms. In the context of drug discovery, AI and ML techniques have been applied to
accelerate the development of new drugs, from target identification and lead generation to drug repurposing. AI applications in drug design and virtual screening have improved the efficiency of identifying potential drug candidates. Deep learning, a division of ML, has been particularly effective in
predicting protein structures and optimizing lead compounds. In anti-cancer drug target prediction, AI
and ML algorithms analyze large-scale genomic, proteomic, and clinical data to identify potential
targets for cancer therapy. AI has also transformed cancer imaging and diagnosis by enhancing the
accuracy and efficiency of cancer detection, classification, and prognosis. Medical imaging analysis,
pathology, and radiology have benefited from AI algorithms’ ability to interpret and analyze various
imaging modalities. Moreover, AI applications in cancer treatment have facilitated the development
of predictive models for treatment response, enabling personalized and targeted therapies based on
individual patient characteristics. The purpose of the study was to give facts regarding the integration
of artificial intelligence and machine learning in drug discovery and cancer therapy and its significant
prospects for improving efficiency, decreasing costs, and improving patient outcomes.
Investigating Ayurvedic Strategies: An In-Depth Examination of Managing Diabetes across Different Types
Authors: Balkrishna Acharya , Katiyar Prashant , Upreti Jaya , Chauhan Muskan , Sharma Dushyant , Kumar Sandeep , Arya Vedpriya 
Published: March 2024

:
In light of the escalating global concern surrounding diabetes mellitus, contemporary
medical practices predominantly hinge on pharmaceutical interventions, accompanied by
inherent side effects and enduring limitations. This investigation accentuates a discernible research
void regarding the amalgamation of Ayurvedic principles an age-old traditional medical
system with prevalent approaches to diabetes management. Despite Ayurveda's promising potential
in furnishing a comprehensive and personalized strategy for diabetes treatment, the imperative
for further research and collaboration between Ayurvedic practitioners and contemporary
healthcare professionals becomes evident.

:
Existing scholarly works underscore the potential advantages of Ayurveda in delivering holistic
diabetes care, encompassing not only glycemic control but also fostering overall well-being.
Nevertheless, a closer examination reveals specific limitations, challenges, and gaps in current
research, necessitating targeted efforts to enable a more exhaustive exploration of Ayurvedic
interventions within diabetes management. This comprehensive review scrutinizes Ayurvedic
recommendations pertaining to dietary practices, lifestyle adjustments, and herbal therapeutics,
shedding light on their plausible efficacy. It serves as a clarion call for heightened research endeavors,
aiming to bridge existing gaps and carve a pathway toward an integrated, patientcentric
paradigm in diabetes care. In summary, as diabetes prevalence continues to rise globally,
the study underscores the limitations of current pharmaceutical-centric approaches and
highlights the need for extensive research and collaboration to unlock the full potential of
Ayurvedic principles in providing a more holistic and personalized framework for diabetes
management. The review navigates through Ayurvedic recommendations, emphasizing the urgency
for intensified research efforts to fill existing gaps and pave the way for a seamlessly integrated,
patient-focused approach to diabetes care.
Xylazine: An Abused Tranq Dope and its Safety Concern
Authors: Ashique Sumel 
Published: March 2024

Abstract:
A drug called Xylazine has gained notoriety in recent times, earning the nickname
"zombie drug" due to reported alarming effects on its users. Although Xylazine is primarily intended
for veterinary use as a sedative and muscle relaxant for animals, there have been growing
concerns about its misuse among humans, particularly in the context of illicit drug use. However,
it is essential to rely on accurate and evidence-based information when discussing the health
risks associated with any substance, rather than resorting to sensationalized terms like "zombie
drug." The situation involving Xylazine misuse is a matter of concern, and the United States
Drug Enforcement Administration has highlighted it as a significant threat to public health.
Resveratrol: Protective Agent Against Alzheimer’s Disease
Authors: Subhan Iqra , Siddique Yasir Hasan 
Published: March 2024

:
Resveratrol is a biologically active natural phenolic plant product. It has several
properties which make them useful to treat the disease. In this review, we have highlighted the
neuroprotective effects of resveratrol. Several available animal models have been proven to
help understand the disease pathway and mechanism of action by resveratrol. In this review, we
have highlighted the neuroprotective activity of resveratrol in AD, which effectively counter the
neurodegenerative disease by decreasing the formation of plaques.

:
Resveratrol is a natural plant product that is easily available, cost-effective, and possesses neuroprotective
activity, which is useful for treating neurodegenerative diseases. Resveratrol presents
a promising avenue for AD treatment due to its diverse neuroprotective mechanisms. Given
the ongoing global challenge in treating AD, researchers have increasingly focused on exploring
the therapeutic potential of resveratrol.
Impact of Type 2 Diabetes and Glycated Hemoglobin Levels Within the Recommended Target Range on Mortality in Older Adults With Cognitive Impairment Receiving Care at a Memory Clinic: NCGG-STORIES
Authors: Sugimoto Taiki , Sakurai Takashi , Uchida Kazuaki , Kuroda Yujiro , Tokuda Haruhiko , Omura Takuya , Noguchi Taiji , Komatsu Ayane , Nakagawa Takeshi , Fujita Kosuke , Matsumoto Nanae , Ono Rei , Crane Paul K. , Saito Tami 
Published: March 2024

OBJECTIVE
To determine the impact of type 2 diabetes and glycated hemoglobin (HbA1c) levels within the recommended target range according to the Japan Diabetes Society/Japan Geriatrics Society Joint Committee on mortality in older adults with cognitive impairment.

RESEARCH DESIGN AND METHODS
This retrospective cohort study included 1,528 and 468 patients aged ≥65 years without and with type 2 diabetes, respectively, who were visiting a memory clinic. The 468 patients with type 2 diabetes were divided into three groups (within, above, and below the target range) based on their HbA1c levels, cognitive function, ability to perform activities of daily living, and medications associated with a high risk of hypoglycemia. The impact of diabetes and HbA1c levels on mortality was evaluated using Cox proportional hazards models.

RESULTS
Over a median follow-up period of 3.8 years, 353 patients (17.7%) died. Compared with individuals without type 2 diabetes, HbA1c levels above (hazard ratio [HR] 1.70, 95% CI 1.08–2.69) and below (HR 2.15, 95% CI 1.33–3.48) the target range were associated with a higher risk of death; however, HbA1c levels within the target range were not (HR 1.02, 95% CI 0.77–1.36).

CONCLUSIONS
HbA1c levels above and below the target range were associated with a higher risk of mortality, whereas patients with HbA1c levels within the target range did not exhibit a higher risk of mortality than individuals without type 2 diabetes. These results provide empirical support for the current target ranges among older adults with cognitive impairment.
Pengaruh Pengetahuan Kewirausahaan Dan Efikasi Diri Terhadap Minat Berwirausaha Dengan Motivasi Berwirauaha Sebagai Variabel Intervening (Studi Pada Mahasiswa Manajemen Angkatan 2019 Universitas Muhammadiyah Metro)
Authors: Febiyanto  , Ardiansyah Japlani  , Fariz Rubihatlan  
Published: March 2024

Based on the latest data from the Central Statistics Agency (BPS) shows that as of February 2022, Indonesia's unemployment rate was recorded at 5.83 percent of the total working age population of 208.54 million people. Which astonishing, of the 5.83 percent, almost 14% were residents diploma and bachelor degree (S1) graduates. Based on these data state Indonesia it self still really needs new entrepreneurs, because It is hoped that with the increasing number of entrepreneurs in Indonesia, create new jobs, reduce unemployment and also can help improve the economy of the surrounding community as well country. This research has a goal, namely to find out whether Entrepreneurial knowledge influences the interest in entrepreneurship. For determine whether self-efficacy affects the interest in entrepreneurship. For determine whether entrepreneurial knowledge affects motivation entrepreneurship. To find out whether self-efficacy has an effect on entrepreneurial motivation. To find out whether entrepreneurial knowledge and self-efficacy influences the interest in entrepreneurship with motivation entrepreneurship as an intervening variable. The sample of this research is Class of 2019 Management Student at Muhammadiyah Metro University as many as 102 students. Data collection using a questionnaire, and data analysis using validity test, reliability test, normality test, test linearity, Heteroscedasticity Test, Multicollinearity Test, linear regression analysis multiple, t test, f test, r determination test, and Regression Analysis of Mediation Variables With the Causal Step Method using the program (SPSS). Results research shows that there is a positive and significant influence Entrepreneurship Knowledge and Self-Efficacy on Entrepreneurial Interests, there is a positive and significant influence on Entrepreneurship Knowledge and Efficacy Self on Entrepreneurial Motivation, and there is a positive and significant influence Entrepreneurship Knowledge and Self-Efficacy on Entrepreneurial Interests With Entrepreneurial Motivation as an Intervening Variable.
PENGARUH FASILITAS PEMBELAJARAN DAN KINERJA MENGAJAR GURU TERHADAP EFEKTIVITAS BELAJAR SISWA SD NEGERI BUMI SETIA KECAMATAN SEPUTIH MATARAM KABUPATEN LAMPUNG TENGAH
Authors: Yusuf Arifin , Dami Sudarman , Aminin Sudirman 
Published: March 2024

ABSTRAK

Penelitian ini bertujuan untuk mengetahui sejauh mana efektivitas belajar siswa dipengaruhi oleh fasilitas pendidikan dan efektivitas pengajar. Strategi deskriptif kuantitatif digunakan dalam penyelidikan ini. Ada 26 peserta dalam populasi penelitian ini instruktur SD Negeri Bumi Setia. Kuesioner digunakan dalam pengumpulan data. Regresi linier berganda digunakan dalam analisis data bersama dengan uji t dan f untuk pengujian hipotesis. Temuan menunjukkan bahwa fasilitas pembelajaran berdampak terhadap efektivitas pembelajaran; Nilai thitung sebesar 8,103 > nilai ttabel sebesar 1,711 menunjukkan bahwa fasilitas pembelajaran memberikan kontribusi sebesar 73,2% terhadap efektivitas pembelajaran. Kinerja mengajar guru berdampak terhadap efektivitas pembelajaran; Hal ini terlihat dari nilai thitung sebesar 5,214 > nilai ttabel sebesar 1,711 yang menunjukkan adanya Kemanjuran pembelajaran dipengaruhi oleh kinerja mengajar guru sebesar 53,1%. Hasil Fhitung 48,927 > Ftabel 3,40 menunjukkan bahwa fasilitas pembelajaran dan efektivitas mengajar guru digabungkan berpengaruh terhadap efektivitas pembelajaran. Fasilitas pembelajaran dan efektivitas guru secara keseluruhan berkontribusi sebesar 81,0% terhadap efektivitas pembelajaran; faktor-faktor lain yang tidak termasuk dalam penelitian ini menyumbang persentase sisanya.

Kata kunci: Fasilitas Pembelajaran, Kinerja Mengajar Guru, Efektivitas Belajar

ABSTRACT

This study aims to determine the extent to which student learning effectiveness is influenced by educational facilities and teaching effectiveness. A quantitative descriptive strategy was used in this investigation. There were 26 participants in this study population as SD Negeri Bumi Setia instructors. Questionnaires are used in data collection. Multiple linear regression was used in data analysis along with t and f tests for hypothesis testing. The findings show that learning facilities have an impact on learning effectiveness; The tcount value is 8.103 > the ttable value is 1.711 indicating that learning facilities contribute 73.2% to learning effectiveness. Teacher teaching performance has an impact on learning effectiveness; This can be seen from the tcount value of 5.214 > the ttable value of 1.711 which indicates that the efficacy of learning is influenced by the teacher's teaching performance of 53.1%. The results of Fcount 48.927 > Ftable 3.40 indicate that learning facilities and teacher teaching effectiveness combined have an effect on learning effectiveness. Learning facilities and teacher effectiveness as a whole contribute 81.0% to learning effectiveness; other factors not included in this study accounted for the remaining percentage.

Keywords: Learning Facilities, Teaching Performance, Learning Effectiveness
MENINGKATKAN EFEKTIVITAS KEPUTUSAN ORGANISASI
Authors: Refai Refai , Patimah Siti , Subandi Subandi , Makbulloh Deden 
Published: March 2024

Komunikasi adalah aspek penting yang selalu hadir dalam organisasi. Komunikasi berfungsi secara mendasar pada pembentukan berbagai aspek dalam setiap organisasi. Pada penelitian kualitatif ini, para peneliti mencoba memahami peran komunikasi dalam proses pengambilan keputusan organisasi utamanya di MA Muhammadiyah Metro. Data penelitian ini diperoleh melalui wawancara dengan para responden yang juga melakukan pengamatan di Lembaga Pendidikan Islam tersebut. Hasil analisis data tersebut menunjukkan bahwa komunikasi efektif telah dipraktikkan di dalam organisasi pendidikan Islam tersebut. Didapati bahwa di MA Muhammadiyah Metro telah melaksanakan komunikasi efektif yaitu komunikasi interaksi dua arah di mana salah satunya dengan memanfaatkan platform digital. Komunikasi efektif tersebut telah menghasilkan pengaruh positif terutama pada penyelesaian masalah, dan pembentukan konsensus selama pengambilan keputusan organisasi. Namun demikian, masih juga ditemukan adanya hambatan-hambatan seperti; budaya, hierarkis, dan teknologi sehingga hal ini menunjukkan perlunya penerapan strategi seperti pelatihan keterampilan komunikasi, budaya organisasi yang mendukung, dan peningkatan infrastruktur teknologi informasi, yang semuanya berkontribusi pada peningkatan pengambilan keputusan.
JAGA PESISIR KITA: PENGELOLAAN POTENSI LINGKUNGAN PESISIR MELALUI PEMBERDAYAAN MASYARAKAT DI PANGEMPANG, KECAMATAN MUARA BADAK
Authors: Dewanti Tabita Titah , Harsen Faris , Apsari Nurliana Cipta , Raharjo Santoso Tri , Humaedi Sahadi , Taftazani Budi Muhammad , Santoso Meilanny Budiarti 
Published: March 2024

Wilayah pesisir merupakan wilayah peralihan antara daratan dan lautan yang berpotensi kaya akan sumber daya alam. Didalamnya terdapat banyak ekosistem dan keanekaragaman hayati yang melimpah. Namun, wilayah pesisir seringkali menghadapi tantangan eksploitasi yang berlebihan dan degradasi lingkungan akibat kegiatan manusia. Pemberdayaan masyarakat menjadi salah satu cara dalam pengelolaan potensi lingkungan pesisir. Penelitian ini bertujuan untuk membahas penerapan pemberdayaan masyarakat terkait program “Jaga Pesisir Kita” melalui pengelolaan potensi sumber daya pesisir di wilayah pesisir Pangempang dengan fokus rehabilitasi lingkungan, peningkatan ekonomi masyarakat melalui wisata, dan edukasi keanekaragaman hayati. Metode penelitian yang digunakan adalah deskriptif kualitatif dengan analisis primer dan sekunder melalui observasi, wawancara dengan stakeholder, dan sumber literatur lainnya. Hasil penelitian menunjukkan keterlibatan masyarakat pesisir Pangempang dalam pengelolaan potensi lingkungan pesisir memberikan hasil yang cukup baik dengan adanya kesadaran masyarakat pesisir terhadap kepedulian dengan lingkungan. Terlaksananya rehabilitasi terumbu karang dan hutan mangrove, salah satunya dengan transplantasi terumbu karang. Peningkatan ekonomi masyarakat melalui pengembangan wisata alam dan peningkatan kemampuan anggota penerima manfaat terkait pengelolaan wisata pesisir. Coastal areas are transitional areas between land and sea that are potentially rich in natural resources. It contains many ecosystems and abundant biodiversity. However, coastal areas often face challenges of overexploitation and environmental degradation due to human activities. Community empowerment is one way to manage the potential of the coastal environment. This research aims to discuss the application of community empowerment related to the “Jaga Pesisir Kita” program through the management of potential coastal resources in the Pangempang coastal area with a focus on environmental rehabilitation, community economic improvement through tourism, and biodiversity education. The research method used in descriptive qualitative with primary and secondary analysis through observation, interviews with stakeholders, and others literature sources. The results showed that the involvement of Pangempang coastal communities in managing the potential of the coastal environment gave good results with the awareness of coastal communities to care about the environment. The implementation of rehabilitation of coral reefs and mangrove forests, one of which is by transplanting coral reefs. Improving the community’s economy throught the development of nature tourism and improving the ability of beneficiary members related to coastal tourism management.
EPHA4 Genetic Variant in a Patient with Epilepsy, Ophthalmological Anomalies, and Neurodevelopmental Delay
Authors: Sleptsova M , Georgiev C , Atemin S , Dimova P , Avdjieva-Tzavella D , Tacheva G , Litvinenko I , Grozdanova L , Todorov T , Mitev V , Todorova A 
Published: March 2024

Abstract
We present the findings of a Whole Exome Sequencing in a 2-year-old boy, conceived via In Vitro Fertilization with donor sperm, who suffers from an undiagnosed neurological syndrome. The following heterozygous variant in the EPHA4 gene was identified and classified as likely pathogenic: c.1655_1656, p.(Ser552CysfsTer23). Subsequent segregation analysis showed that the variant was not inherited from the mother and the sperm donor is not accessible for genetic testing. The presented results can further expand upon the genetic variants considered when diagnosing complex neurological syndromes and shows the importance of access to biological samples from donor banks in genetically ambiguous cases.
Droplet Digital PCR as a Molecular Tool for the Detection of the EGFR T790M Mutation in NSCLC Patients with the EGFR Activating Mutations
Authors: Durgut S , Salihefendić L , Pećar D , Čeko I , Mulahuseinović N , Izmirlija M , Konjhodžić R 
Published: March 2024

Abstract

Background
Almost 50% of NSCLC patients who initially show a successful response to tyrosine kinase inhibitors targeted therapy (TKI therapy) eventually develop acquired EGFR T790M mutation. The T790M secondary mutation can cause resistance to the targeted therapy and disease relapse. Since this mutation can be present at very low frequencies in liquid biopsy samples, droplet digital PCR (ddPCR), due to its high sensitivity, has opened the possibility for minimally invasive monitoring of the disease during TKI targeted therapy.

Materials and methods
For this study, a total of 45 plasma samples from NSCLC patients with previously detected EGFR-activating mutations were analyzed. Extracted circulating free DNA was amplified and examined for the presence of T790M mutation using ddPCR technology. For the data analysis, QuantaSoft Software was used.

Results
Of 45 tested plasma samples, a total of 14 samples were identified as positive for the T790M mutation. The same samples eventually showed the presence of T790M mutation in FFPE. Droplet digital PCR showed its great advantage in high sensitivity detection of rare allele variants. Our ddPCR assay detected T790M mutant allele in frequencies from 0.1%. The average number of droplets generated by ddPCR was 9571.

Conclusion
Monitoring of the T790M mutation has an important role in the examination of the effects of the prescribed TKI therapy. Since monitoring of potential changes during TKI therapy requires repeated sampling, our results showed that ddPCR technology has made it possible to use liquid biopsy as an adequate minimally invasive alternative for single nucleotide polymorphisms (SNP) detection.