bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluating the Role of Testosterone in Amyotrophic lateral Sclerosis
Authors: Sawal Nishit , Panwar Aditi
Published: December 2024

Background Dihydrotestosterone (DHT) is implicated in Amyotrophic lateral sclerosis (ALS) pathogenesis. Our previous study found deficiency of DHT in cerebrospinal fluid (CSF) of ALS patients leading us to postulate that DHT was integral to survival of motor neurons . This study explored whether correction of the DHT deficiency using testosterone injections could benefit ALS patients. Methods 9 ALS patients were given intra-muscular testosterone injections with dosages being incremented gradually . As DHT itself does not cross the blood-brain barrier (BBB) , CSF and brain levels of DHT can only be increased through administration of testosterone which crosses the BBB and then gets converted to DHT Results Varying degree of reduction in fasciculations was seen in ALS patients during administration of higher doses of testosterone . Stabilization or increments in ALSFRS-R scores were seen in a fraction of treated patients. Conclusions Testosterone may have a therapeutic role in ALS, especially for control of fasciculations. However more data from randomized controlled trials and meta-analyses evaluating testosterone in ALS would be required before reaching any further conclusion . We also postulate that Neanderthal-Denisovan DNA introgression plays a role in ALS .
Nutritional Strategies to Delay or Reverse the Burden of Negative Obstetric Outcomes Related to Covid19 Exposure During Pregnancy: Recent Advances
Authors: Messina Alessandro , Mariani Alessia , Leo Livio , Manzoni Paolo , Masturzo Bianca
Published: December 2024

Background/Objectives: the SARS-CoV-2 (COVID-19) pandemic has significantly impacted a large portion of the global population. Numerous studies have investigated the potential outcomes of Coronavirus infection in pregnant women, aiming to identify variables that may be associated with either improved or worsened outcomes. In this context, nutritional factors have occasionally been hypothesized to play a potentially important role in preventing adverse obstetric outcomes in pregnant women affected by COVID-19. We conducted a comprehensive literature review to examine the relationship between COVID-19 and nutrition. Our objective was to provide an updated and state-of-the-art overview of the interactions between nutrition, COVID-19 infection during pregnancy, and perinatal, obstetric, and neonatal outcomes. Methods: we conducted a comprehensive literature search in electronic databases, namely PubMed, Medline, and Embase, focusing on the relationship between COVID-19 and the role of diet and micronutrients in pregnancy. Results: an adequate nutritional intake, coupled with a healthy lifestyle, along with the consumption of probiotics and prebiotics and the supplementation of specific micronutrients, appears to play a crucial role in preventing adverse outcomes and pregnancy complications associated with COVID-19. Conclusions: obstetric research must continue to advance preventive strategies against the SARS-CoV-2 virus, including those focused on nutrition.
Seasonal Variations of Chemical Composition, Antibacterial and Antioxidant Activity of Rosmarinus officinalis L. Essential Oil from Southwestern Romania
Authors: Bejenaru Ludovic Everard , Segneanu Adina-Elena , Bejenaru Cornelia , Biţă Andrei , Tuţulescu Felicia , Radu Antonia , Ciocîlteu Maria Viorica , Mogoşanu George Dan
Published: December 2024

Our study reports for the first time, over a 12-month period, the seasonal variations of chemical composition, antibacterial and antioxidant activity of Rosmarinus officinalis L. essential oil (RoEO) from southwestern Romania (Oltenia Region). To analyze the constituents of RoEO, a comprehensive gas chromatography/mass spectrometry (GC/MS) method was employed. The analysis aimed to identify and quantify the various components by comparing their mass spectra with reference spectra from the National Institute of Standards and Technology (NIST) Library 2020. Staphylococcus aureus minimum inhibitory concentration (MIC) values were determined using the microdilution method (96-well plates). The antioxidant activity was analyzed using 2,2-diphenyl-1-picrylhydrazyl (DPPH), 2,2’-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) and hydrogen peroxide (H2O2) radical scavenging assays. This analysis provided a detailed profile of the RoEO’s constituents, revealing significant monthly variations. Key compounds, such as camphor, eucalyptol, α-pinene, camphene and α-myrcene, were quantified, alongside lesser-studied constituents like β-pinene, α-terpinene, linalool, terpinolene, and carvacrol. Comparisons were made with a reference sample from Tunisia. Correlations between specific compounds and their bioactivity were explored to understand their contributions to the overall efficacy of the RoEO. This comprehensive analysis provides valuable insights into the potential applications and seasonal variability of RoEO from Romania.
High Throughput Profiling of Spodoptera Frugiperda Immunotranscriptome During the Pathogenic Microorganism Infections
Authors: Tang Yan , Zou Qi , Yu Guojie , Liu Feng , Wu Yu , Zhao Xueyan , Wang Wensheng , Liu Xinchang , Hu Fei , Wang Zengxia
Published: December 2024

Spodoptera frugiperda is a globally significant migratory agricultural pest that requires proactive monitoring. Understanding the molecular mechanisms underlying the interactions between pathogenic microorganisms and S. frugiperda is crucial for enhancing the effectiveness of microbial control agents against this pest. This study used transcriptome sequencing and molecular biology techniques on S. frugiperda larvae infected by bacteria and fungi to investigate the composition and molecular regulatory mechanisms of its immune system. A total of 655 immune-related genes were identified, including pattern recognition receptors, signal transduction factors, immune effectors, and immune regulators. Following microbial infection, most immune-related genes showed an upregulated expression trend. Phylogenetic analysis revealed that the immune gene repertoire of S. frugiperda is relatively conserved. The expression changes of immune recognition receptors PGRP and βGRP were validated using qPCR, confirming that these genes were significantly upregulated under specific pathogenic infections. This study elucidates the immune transcriptome of S. frugiperda in response to various pathogenic microorganisms, providing valuable insights for improving the effectiveness of existing microbial agents and developing new highly efficient and specific biopesticides.
Activin A Is a Functional Component of the Anti-Endometriotic Drug Endoferin
Authors: Balakina Anastasia A. , Ilyichev Aleksandr V. , Terentyev Aleksey A. , Ustenko Zhanna Yu. , Gushchin Yaroslav A. , Kessenikh Andrey G. , Manukhov Ilya V. , Bazhenov Sergey V. , Vlasov Alexey V. , Maldov Dmitry G. , Uversky Vladimir N.
Published: December 2024

Endometriosis is a prevalent gynecological condition affecting up to 25-40% of women with infertility. Endoferin, a protein complex derived from the bovine ovarian follicles, has demonstrated high efficacy in clinical trials for treating endometriosis. It contains bovine serum albumin and a biologically active protein from the TGF-β superfamily. However, the mechanisms underlying its therapeutic effects are not studied well. Immunoblotting revealed that TGF-β in Endoferin is presented by predominantly pro-activin A (56 kDa) and to lesser extend by mature activin A (32 kDa). Heating endoferin facilitated the processing of pro-activin A to activin A, enhancing its differentiation-inducing activity in Xenopus ectoderm. Protease assays and inhibitor studies indicated that MMP-9 is responsible for this processing. Immunohistochemical analysis showed that endoferin treatment significantly decreased VEGF expression by 42% to 83% compared to control (p < 0.05) and increased apoptosis indices up to 4.5-fold (p < 0.05) in rat endometriotic tissue samples. The therapeutic efficacy of endoferin in treating endometriosis is attributed to the ability of activin A to suppress angiogenesis and induce apoptosis in a surgical model of the endometriosis in rats and activate apoptosis in endometriomas. MMP-9-mediated processing of pro-activin A is crucial for activating activin A within the preparation. These findings support the use of endoferin as a promising non-hormonal treatment option for endometriosis.
There Are No or a Little Increase, Then Decrease of Changed Values of Specific Cytokines In or Markers on Helper or iNK T Cells Dependently on Their Initial Values Not to Be Detected by Conventional Analyses
Authors: Ishida Torao , Takagi Ken , Wang Guifeng , Tanahashi Nobuyuki , Kawanokuchi Jun , Takagi Hisayo , Yi Guo , Ma Ning
Published: December 2024

Background: It is our purpose to identify changes in expression of cytokines in or markers on helper T cells by treatments not to be identified by conventional statistical analysis. Methods: The studies showing cytokines or markers’ values in individual subjects before and after treatments were selected from the PubMed Central® databases with the keywords of “CD4 cells”. The significant differences from control values but no changes between before and after treatments with conven-tional statistical analyses were selected from the studies to be examined with Ishida’s t-test1. Results: Only Ishida’s t-test1 suggested that Sema4A-PlexinD1 axis with anti-plexinD1 antibody, Cat-PAD, and Intravenous immunoglobulin increased (when initial values X < X-intercept values γ) and de-creased (when X > γ) the changed value of expression of GATA3 mRNA in Th2 cells, interleukin-22 and PlexinB1 mRNA in Th17 cells of healthy subjects, CRTh2 on Th2 cells of cat allergen patients, and Cytotoxic T lymphocyte antigen 4 on helper T cells and Programmed death 1 on invariant natural killer T cells of common variable immunodeficiency patients, respectively. Conclusion: Ishida’s t-test1 also should be used for analysis of the change of expression of specific cytokines in or markers on helper T cells with conventional statistical analysis.
Ganoderma lucidum Extract Modulates Gene Expression Profiles Associated with Antioxidant Defense, Cytoprotection, and Senescence in Human Dermal Fibroblasts: A Transcriptomic Analysis
Authors: Kühnel Harald , Seiler Markus , Ebrahimian Atefeh , Feldhofer Barbara , Maurer Michael
Published: December 2024

Cellular senescence plays a crucial role in skin aging, with senescent dermal fibroblasts contributing to reduced skin elasticity and increased inflammation. This study investigated the potential of Ganoderma lucidum (Reishi) extract to modulate the senescent phenotype of human dermal fibroblasts. Etoposide-induced senescent fibroblasts were treated with Reishi extracts from two commercial sources for 14 days. Gene expression analysis was performed using qPCR to assess markers of senescence, antioxidant defense, and extracellular matrix remodeling. Results showed that Reishi extracts significantly upregulated antioxidant and cytoprotective genes, including HO-1, γGCS-L, and NQO1, compared to untreated controls. Importantly, Reishi treatment suppressed the expression of p16, a key marker of cellular senescence, while transiently upregulating p21. The extracts also demonstrated potential senolytic properties, reducing the percentage of senescent cells as measured by SA-β-Gal staining. However, Reishi treatment did not mitigate the upregulation of matrix metalloproteinase-1 (MMP1) induced by senescence. These findings suggest that Ganoderma lucidum extract may help alleviate some aspects of cellular senescence in dermal fibroblasts, primarily through enhanced antioxidant defense and cytoprotection, potentially offering a novel approach to combat skin aging
New Plastitar Record for the Mediterranean Sea: Characterization of Plastics and Tar from the Salento Peninsula (Ionian Sea)
Authors: Fraissinet Silvia , Mancini Emanuele , Funiati Chiara , Martino Caterina , De Benedetto Giovanni , Girelli Chiara Roberta , Fanizzi Francesco Paolo , Belmonte Genuario , Piraino Stefano
Published: December 2024

The various forms of anthropogenic pollution are regarded as a serious threat to marine coastal areas. The overproduction and mismanagement of petroleum derivatives, such as tar and plastics, has resulted in a significant correlation between these two pollutants. The aggregation of tar, microplastics (MPs), and natural materials can create Plastitar blocks, which are common in coastal areas. These raise concern about the undeniable negative impact on the marine ecosystem and associate biota and serve as a recognizable and understandable indication of environmental decline. Here, the composition of the 11 Plastitar blocks collected on the Ionian side of the Apulia region (Italy) was characterized both in tar and plastics using nuclear magnetic resonance (NMR) spectroscopy and Fourier transform infrared (FTIR) spectroscopy, respectively. Of the 250 particles extracted from the tar, 208 were identified as plastics, predominantly Polyethylene. The majority of these were in the form of pellets (90%), with fragments accounting for 5% and films and filaments representing the remaining 5%. This study provides new data that can be used to enhance the understanding of the distribution and baseline information about this novel form of pollution in Italian waters.
Optimizing Interactive Facilities to Enhance Museums’ Educational Communication
Authors: Chen Kexuan
Published: December 2024

In recent decades,museums have evolved from traditional knowledgerepositories to dynamic educational communication spaces.Whileinteractive facilities have become crucial tools for museum educationalcommunication,their effectiveness in knowledge dissemination remainsdebated among scholars and practitioners.This study explores how to optimize educational communication bydeveloping a theoretically grounded framework across three commonmuseum types:Art Museums,History Museums,and Science Museums.Based on their respective emphases on art perception,historical concepttransmission,and scientific experience provision,this paper appliesspecific theories-Experiential Learning Theory,Storytelling&NarrativeTheory,and Multiple Intelligence Theory to develop systematicguidelines for their interactive facilities design and provides threeapplications.The educational communication effects of these changes isverified through questionnaires.
Accumulation of Nanoplastics in Biomphalaria glabrata Embryos and Transgenerational Developmental Effects
Authors: Martin Leisha , Armendarez Carolyn , Merrill Mackenzie , Huang Chi , Xu Wei
Published: December 2024

(1) Background: Nanoplastics (NPs) are emerging environmental pollutants with potential toxic effects on aquatic organisms. This study investigates the toxicity of NPs in Biomphalaria glabrata, a freshwater snail species widely used as a bioindicator species in ecotoxicology studies.; (2) Methods: We exposed three generations (F0-F2) of B. glabrata snail embryos to different sizes of polystyrene NPs and assessed responses.; (3) Results: summarize the article’s main findings; (4) Conclusions: We observed severe effects on F0 to F2 B. glabrata embryos, including size-dependent (30 to 500 nm) increases in mortality rates, size and dosage-dependent (1 to 100 ppm) effects on hatching rates, and concentration-dependent toxicity in the 30 nm NP treatment group. The F2 generation embryos appear to be most responsive to detoxification (CYP450) and pollutant me-tabolism (HSP70) at 48-hours-post-treatment (HPT), while our developmental marker (MATN1) was highly upregulated at 96-HPT. We also report a particle-size-dependent correlation in HSP70 and CYP450 mRNA expression, as well as enhanced upregulation in the offspring of NP treated snails. These findings indicate that F2 generation embryos appear to exhibit increased stress from toxic substances inherited from F1 and F0. This study provides valuable insights into the impact of plastic particulate pollution on multiple generations and highlights the importance of monitoring and mitigating plastic waste.
Tertiary Structures of Haseki Tick Virus Nonstructural Proteins Are Similar to Those of Orthoflaviviruses
Authors: Gladysheva Anastasia , Osinkina Irina , Radchenko Nikita , Alkhireenko Daria , Agafonov Alexander
Published: December 2024

A large number of novel viruses potentially pathogenic for humans are discovered currently. Studying many of them by classical methods of virology is difficult due to the absence of a live viral particles or a sufficient amount of its genetic material. In this case, the use of modern methods of bioinformatics, synthetic and structural biology can help. Haseki tick virus (HSTV) is a recently discovered tick-borne unclassified ssRNA(+) virus. HSTV positive patients experienced fever and elevated temperature. However, at the moment, there is no information on the tertiary structure and functions of its proteins. In this work, we used AlphaFold 3 for annotation of HSTV protein functions, based on the principle that the tertiary structure of a protein is inextricably linked with its molecular function. We were the first to obtain models of tertiary structures and describe the putative functions of HSTV nonstructural proteins (NS3 helicase, NS3 protease, NS5 RNA-dependent RNA-polymerase, and NS5 methyltransferase). These proteins play a key role in the replication of the viral genome and can be targets for the development of direct-acting antiviral drugs.
Cost-Efficient Secure Hybrid RAG Assessment
Authors: singh jitender
Published: December 2024

This paper presents a cost-effective and scalable hybrid methodology to evaluate the generator in retrieval-augmented generation (RAG) systems, tailored for offline use in critical fields like healthcare and finance. Current generator evaluations rely on online LLMs, which can hallucinate and bias scores, leading to cost-inefficient, non-reproducible, and non-scalable outcomes. Meanwhile, traditional NLP approaches lack a multi-faceted view and are overly dependent on entity or phrase matching mechanisms, missing deeper semantic understanding. Our approach leverages sophisticated NLP metrics to comprehensively evaluate AI system performance across semantic relevance, factual accuracy, context consistency, semantic coherence, and hallucination detection through specialized tools, offering a more robust approach than current market solutions. The methodology demonstrates superior performance over LLM-based judges by providing stable, scalable, and cost-effective offline assessment across both RAG systems and natural language generation tasks. We implement a bounded scoring system (0-1) using harmonic means with PCA, adaptive, and entropy-weighting techniques for trustworthy scoring. The framework's modular architecture enables continuous metric adaptation and domain-specific customization while maintaining evaluation consistency, making it particularly valuable for high-stakes applications requiring rigorous quality assessment without external API dependencies.
Polyphenols in Food Production: Enhancing Quality and Nutritional Value
Authors: Coşkun Nurten , Sarıtaş Sümeyye , Bechelany Mikhael , Karav Sercan
Published: December 2024

Polyphenols are known as secondary metabolites, which are crucial bioactive compounds that enhance human health. The identification of polyphenols is generally accomplished with chromatographic methods after the food has been extracted. The extraction methods are fundamental; however, they can be used with any differences, including extractant type according to the food. Polyphenols are mostly found in some foods, including grapes, olives, cherries, and apples. Foods have divergent polyphenols, which differentiate according to the food types. Moreover, they have flavonols, flavanols, flavones, flavanones, isoflavones, and anthocyanins as various subgroups of polyphenols that can change in terms of quantity and quality with several factors, including types, growing region, germination time, and harvest season of food. The consumption of polyphenols is crucial for human health owing to their anti-cancer effect, anti-tumor effect, anti-inflammatory effect, cardiometabolic risk management, antimicrobial effect, immunomodulatory activity, and antioxidant activity. These are given attention by researchers who detect the effects of polyphenol. In the valorization of polyphenols, the consumption dose is also important to effectively benefit from the polyphenols of plant-based foods. Several in vitro and in vivo studies have tested the polyphenols’ digestion ability and preservation ability in gut microbiota and their effect on the microbiota to determine the benefits and effects of polyphenols in several areas. According to these studies, polyphenols can be used to fight against the disease. In addition, divergent applications, including encapsulation and polyphenol coating, are used to stabilize, preserve, and improve the bioaccessibility of the polyphenols. Even though polyphenol-rich foods are consumed for nutrition in daily life, they are also used as nutritional ingredients in the food industry to produce functional foods, and functional foods are enriched with food by-products to enhance their nutritional value, especially in terms of polyphenols. Polyphenols also provide the preservation ability of storage and improve the bioaccessibility of bioactive ingredients in the digestion of functional foods.
Unlocking Consumer Preferences: Sensory Descriptors Driving Greek Yogurt Acceptance and Innovation
Authors: Bolini Helena Maria André Maria Andre , Cardello Flavio , Medeiros Alessandra Cazellatto , Moskowitz Howard
Published: December 2024

Greek yogurt, a traditional food with roots in Ancient Greece, Mesopotamia, and Central Asia, has become a dietary staple worldwide due to its creamy texture, distinct flavor, and rich nutritional profile. The contemporary emphasis on health and wellness has elevated Greek yogurt as a functional food, recognized for its high protein content and bioavailable probiotics that support overall health. This study investigates the sensory attributes and consumer preferences driving the acceptance of Greek yogurt formulations. Samples with higher consumer acceptance were characterized by sensory attributes such as "high texture in the mouth, surface uniformity, creaminess, apparent homogeneity, mouth filling, grip in the mouth, ease of pick-up with a spoon, milk cream flavor, sweetness, and dairy flavor." These attributes strongly correlated with consumer preferences, underscoring their importance in product optimization. The findings provide a framework for refining Greek yogurt formulations to address diverse market demands, achieving a balance between sensory excellence and practical formulation strategies. This research reinforces the significance of Greek yogurt as a culturally adaptable, health-promoting dietary component and a promising market segment for ongoing innovation.
Beetles Diversity in Two Urban Ecosystems in Sibiu (Romania): Dumbrava Sibiului Forest and Sub Arini Park
Authors: Stancă-Moise Cristina , Moise George , Gima Lila , Rotaru Mihaela , Sanislau Dorina , Tioc Tiberiu , Blidar Cristian Felix
Published: December 2024

This study presents findings over three years of research into beetle diversity in two urban ecosystems in Sibiu, Central Romania: The Sub Arini Park (referred to after as Arini) (semi-anthropic) over 150 years old within the city, and the Dumbrava Sibiului Nature Reserve (referred to after as Dumbrava) (oak forest) over 170 years old on the city outskirts. Ground-trapping coleopteran collection in both locations (2021-2022 for Dumbrava, 2023 for Arini) was carried out in spring, summer, and autumn seasons. The study aimed to identify species and calculate ecological indices (abundance, dominance, constancy, Index of ecological significance) as input into conservation. The nature of collection technique did mean larger beetle species were collected, being the primary nature of this study. In total, 12 beetle families were identified covering 46 coleopteran species from 5,008 specimens. Section 3.1 records in table format all the beetles found. Carabid species diversity was significantly higher in Arini, due to the more varied vegetation. In Dumbrava the forest edge plays an important role in seasonal beetle migrations. The shady areas with shrub vegetation favor predatory and scavenging shrub species such as Carabus (Procustes) coriaceus Linnaeus, 1758 and Phosphuga (Silpha) atrata Linnaeus, 1758. Dominant species were: Carabus violaceus Linnaeus, 1758 and Pterostichus oblongopunctatus Fabricius, 1787 (crepuscular predators).
Climate Change Vulnerabilities in the Eastern Mediterranean Region: Trends and Impacts on Communicable Diseases
Authors: Ali Maher Osama , Motallebi Sahar , Bellizzi Saverio , Suliman Alfatih , Moattari Syamak
Published: December 2024

The Eastern Mediterranean Region (EMR), with its diverse ecological zones, is currently experi-encing climate changes in temperature and precipitation at rates that surpass the global average. This heightened variability significantly increases the region's vulnerability to climate impacts. Using the Climate Risk Index (CRI) by Germanwatch and the Notre Dame Global Adaptation Initiative (ND-GAIN), we evaluated the susceptibility of EMR countries to these changes. Fur-thermore, we investigated the relationship between climate vulnerabilities and public health, focusing on climate-sensitive communicable diseases such as diarrheal diseases, cholera, malaria, and Crimean-Congo Haemorrhagic Fever (CCHF). We identified regional trends, progress, and preparedness gaps by recalibrating ranking data from both indices. Our findings reveal significant climate-induced shifts that challenge traditional economic classifications of EMR countries. No-tably, public health systems are increasingly burdened by climate-driven infectious diseases, highlighting the gravity of the situation. This study underscores the importance of urgent action for integrating climate adaptation measures into public health frameworks and fostering regional collaboration to mitigate the evolving threats of climate change.
Metagenomic Analysis Revealing the Impact of Water Contents on the Composition of Soil Microbial Communities and the Distribution of Major Ecological Functional Genes in Poyang Lake Wetland Soil
Authors: Long Yuxin , Zhang Xiaomei , Peng Xuan , Yang Huilin , Ni Haiyan , Zou Long , Long Zhonger
Published: December 2024

Poyang Lake is the largest freshwater lake in China, which boasts unique hydrological conditions and rich biodiversity. In this study, metagenomics technology was used to sequence the microbial genome of soil samples S1 (sedimentary), S2 (semi-submerged), and S3 (arid) with different water content from the Poyang Lake wetland, the results indicate that three samples have different physicochemical characteristics, their microbial community structure and functional gene distribution are also different, resulting in separate ecological functions. The abundance of typical ANME archaea Candidatus Menthanoperedens and the high abundance of mcrA in S1, mutually demonstrate the prominent role in the methane anaerobic oxidation pathway during the methane cycle. In S2, the advantageous bacterial genus Nitrospira with ammonia oxidation function is validated by a large number of nitrification functional genes (amoA, hao, nxrA), manifesting plays a monumental role in nitrification in the nitrogen cycle. In S3, the dominant bacterial genus Nocardioides confirms a multitude of antibiotic resistance genes, indicating their crucial role in resistance genes and its emphatic research value for microbial resistance issues. The results above have preliminarily proved the indicator of soil microbial communities in predicting wetland ecological functions, which will help to better develop plans for restoring ecological balance and addressing climate change.
Molecular Biological Determination of HER2 Status Using Both DNA and RNA Approaches. A Concordance Study with IHC Assessment
Authors: Ruszova Ema , Spurkova Zuzana , Vlcanova Katerina , Khaznadar Ziad
Published: December 2024

The ISH and IHC assays for assessing HER2 are now recommended by the American Society of Clinical Oncologists and the College of American Pathologists, but there are an increasing number of published studies describing alternative diagnoses at the molecular level. Inspired by these studies, we established a laboratory-developed test (LDT) to analyze HER2 status not only at the gene expression level but also at the gene copy number level. The results were reported according to the concordant results of the DNA and RNA approaches. We also obtained fully agreeing results in ten blindly analyzed samples using the quantitative real-time PCR method and IHC. The topic of this short communication will hopefully contribute to allowing IVD-certified diagnostics based on HER2 gene expression profile or copy number to be tested in the Czech Republic as well.
Sensory Preference, Nutrients Content of Sorghum Substitute Bread with Strawberry Dadih Vla
Authors: Helmizar Helmizar , Azra Jeallyza Muthia , Rusdi Faza Yasira , Sakinah Restu , Yuliana Yuliana , Hidayati Healthy
Published: December 2024

Sorghum (Sorghum bicolor (L) Moench), is a cereal crop ranked the world’s fifth most important cereal grain after wheat, maize, rice and barley. sorghum grain protein varies from 4.4 to 21.1% with a mean value of 11.4%. Sorghum grain is known for its hardness compared to other food grains. The hardness of the grain is due to higher content of protein prolamin (3.6 to 5.1%). Dadih is a fermented buffalo milk with various lactic acid bacteria (LAB). Dadih could be developed into other products such as vla. This study aimed to analyze physicochemical, sensory preference, and nutrients content of dadih vla. Dadih collected from Agam District, West Sumatera. The development of sorghum and curd substitute bread products was carried out by dividing them into 3 product formulations, namely 0%, 5% and 10% sorghum substitute bread and vla with the addition of 0%, 15% and 20% strawberry. Based on the physicochemical and sensory tests that have been carried out, it was found that the best formulation was a bread formula with 5% sorghum substitution and 15% strawberry VLA. The selected formula contains 39.24% water, 48.51% carbohydrates, 0.76% ash, 5.85% carbohydrates, 5.74% fat, 1.81% crude fiber, and 43.89% vitamin C. The pH value is 4.89 with brightness 56.87, redness 5.60 and yellowness 16.97. For future research, it is recommended that product testing be carried out in accredited laboratories and testing other nutritional variables so that the resulting product is more optimal and complete.
Progressive Web Application Persewaan
Authors: Bawono Sahirul Alim Tri , Hartono Rudi , Purbayu Agus , Pradana Ramadhan Wahyu Indra
Published: December 2024

Abstrak:

Persewaan adalah tempat untuk meminjam barang dengan imbalan uang tertentu tergantung pada nilai dan lama meninjam barang. Barang yang banyak memerlukan pencatatan yang baik bagi pemilik barang selain itu tempat untuk menawarkan barang yang akan disewakan dibutuhkan untuk dapat mempertemukan kebutuhan dari penyewa. Nuxt adalah salah satu framework untuk membuat PWA (Progressive Web Application) yang digunakan untuk membuat aplikasi dan diagram yang digunakan untuk analisis adalah usecase serta teknik pengujian yang digunakan adalah black-box. Aplikasi yang dibuat sudah sesuai dengan kebutuhan (requirement system) dan tidak ditemukan error ketika menjalankan aplikasi.

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Abstract:

Rental is a place to borrow goods in exchange for certain money depending on the value and duration of borrowing the goods. Renting is something that usually happens in life when the need for goods is only for a certain period of time and is not used again later. Nuxt is a framework for making PWA (Progressive Web Applications) which is used to create applications and the diagrams used for analysis are use cases and the testing technique used is black-box. The application made is in accordance with the requirements (requirement system) and no errors were found when running the application.
Pengembangan Aplikasi Augmented Reality sebagai Media Edukasi Pertanian Porang untuk Masyarakat
Authors: Purnomo Fendi Aji , Pratisto Eko Harry , Yudhanto Yudho , Ardhi Ovide Decroly Wisnu , Hidayat Taufiqurrakhman Nur , Fajri Achmat
Published: December 2024

Abstrak:

Rendahnya kualitas program dan kurangnya sumber daya manusia ahli, yang dapat diatasi melalui integrasi teknologi AR untuk meningkatkan proses pembelajaran. Penelitian ini berfokus pada pengembangan aplikasi edukasi berbasis Augmented reality (AR) untuk meningkatkan pemahaman masyarakat, khususnya petani pemula, mengenai budidaya tanaman porang, yang merupakan komoditas pertanian berkelanjutan. Metode penelitian yang digunakan adalah Multimedia Development Life Cycle (MDLC), yang terdiri dari enam tahap: konsep, desain, pengumpulan bahan, pembuatan, pengujian, dan distribusi. Hasil penelitian menunjukkan bahwa aplikasi AR yang dikembangkan berhasil diuji dengan metode black box, dan semua fungsinya berjalan dengan baik. Dari kuesioner yang diisi oleh 30 responden, diperoleh rata-rata presentase kepuasan untuk variabel desain sebesar 90%, kemudahan 90,5%, dan manfaat 86%, yang menunjukkan bahwa responden sangat setuju dengan penggunaan aplikasi ini sebagai alat edukasi dalam budidaya tanaman porang, sehingga dapat membantu meningkatkan pengetahuan dan keterampilan petani.

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Abstract:

The low quality of educational programs and the lack of skilled human resources can be addressed through the integration of Augmented reality (AR) technology to enhance the learning process. This study focuses on the development of an AR-based educational application aimed at improving the understanding of the community, particularly novice farmers, regarding the cultivation of porang, a sustainable agricultural commodity. The research methodology employed is the Multimedia Development Life Cycle (MDLC), which consists of six stages: concept, design, material collection, production, testing, and distribution. The results of the study indicate that the developed AR application was successfully tested using the Black Box method, and all functionalities operated effectively. From the questionnaires completed by 30 respondents, the average satisfaction percentages for the design variable were 90%, ease of use 90.5%, and benefits 86%, indicating that respondents strongly agreed with the use of this application as an educational tool in porang cultivation, thereby helping to enhance farmers' knowledge and skills.
Pengembangan Aplikasi Game Edukasi Bahasa Inggris untuk Anak Usia Dini Berbasis Android dengan Menerapkan Metode Gamification
Authors: Afni Nurul , Bunda Yola Permata
Published: December 2024

Abstrak:

Dalam era informasi dan globalisasi, kemampuan berbahasa Inggris menjadi penting untuk mendukung sumber daya manusia yang kompeten. Namun demikian, penerapan penguasaan bahasa Inggris selama masa kanak-kanak di Indonesia terus menunjukkan kecenderungan monoton. Oleh karena itu, tujuan dari penelitian ini adalah untuk merancang aplikasi game edukasi berdasarkan teknologi Android, mengintegrasikan teknik gamifikasi untuk meningkatkan keterlibatan dan hasil dalam pembelajaran bahasa Inggris untuk anak kecil. Metodologi yang digunakan dalam penelitian ini meliputi Multimedia Development Life Cycle (MDLC), yang terdiri dari enam tahapan: konsep, desain, pengumpulan bahan, perakitan, pengujian, dan distribusi. Pengujian dilakukan terhadap 6 guru sebagai responden untuk mengukur efektivitas aplikasi. Hasil penelitian menunjukkan bahwa aplikasi ini berhasil meningkatkan motivasi dan keterlibatan anak-anak dalam belajar bahasa Inggris. Rata-rata kepuasan pengguna berkisar antara 83.33% hingga 95.83%, dengan aspek motivasi dan keterlibatan serta kepuasan guru mendapat skor tertinggi sebesar 95.83%.

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Abstract:

In the era of information and globalization, English proficiency is essential for developing competent human resources. However, English education for early childhood in Indonesia often remains monotonous. Therefore, this study aims to develop an Android-based educational Game application using Gamification methods to enhance engagement and learning outcomes in early childhood English education. The research employs the Multimedia Development Life Cycle (MDLC) method, consisting of six stages: concept, design, material collection, assembly, testing, and distribution. The application was tested on 6 teachers to measure its effectiveness. The findings show that the application successfully increased children's motivation and engagement in learning English. The average user satisfaction ranged from 83.33% to 95.83%, with motivation and engagement, as well as teacher satisfaction, receiving the highest scores at 95.83%. 
Sistem Informasi Geografis Menggunakan Algoritma C4.5 untuk Prediksi Hasil Panen Padi di Kabupaten Simalungun
Authors: Purba Fitri Annisa , Ikhwan Ali
Published: December 2024

Abstrak:

Kabupaten Simalungun merupakan salah satu daerah penghasil padi utama di Indonesia, yang kadang menghadapi fluktuasi hasil panen. Rendahnya hasil panen padi dapat menurunkan nilai jual dan keuntungan petani, sehingga diperlukan analisis data yang mampu memprediksi hasil panen secara akurat agar lebih efektif dan berkelanjutan. Penelitian ini mengembangkan sistem informasi geografis (SIG) berbasis web untuk memetakan hasil panen padi di Kabupaten Simalungun, menggunakan Algoritma C4.5 sebagai metode prediksi. Data yang diolah mencakup hasil panen padi tahun 2023-2024 dengan 1.000 sampel dan lima atribut utama, seperti luas lahan dan curah hujan, yang menghasilkan tingkat akurasi prediksi sebesar 85%. Sistem ini dirancang menggunakan XAMPP, MySQL, dan Framework Laravel, serta visualisasi peta dilakukan melalui Leaflet.js. Kontribusi utama penelitian ini adalah memberikan alat berbasis SIG yang tidak hanya mempermudah pemetaan hasil panen secara visual, tetapi juga meningkatkan efektivitas pengambilan keputusan Dinas Pertanian, seperti mengidentifikasi kecamatan dengan hasil panen rendah untuk prioritas bantuan dan membantu petani memantau perkembangan hasil panen secara spasial. Dengan prediksi yang lebih akurat, sistem ini berpotensi mendukung peningkatan efisiensi alokasi sumber daya dan kebijakan pertanian berbasis data.

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Abstract:

 

Simalungun Regency is one of Indonesia's major rice-producing regions, often facing fluctuations in harvest yields. Low rice yields can reduce sales value and farmers' profits, necessitating a data-driven analysis to accurately predict harvests for more effective and sustainable agricultural planning. This study developed a web-based Geographic Information System (GIS) to map rice harvest yields in Simalungun Regency, utilizing the C4.5 algorithm as a prediction method. The processed data included rice harvest results for 2023-2024, consisting of 1,000 samples and five key attributes, such as land size and rainfall, achieving a prediction accuracy rate of 85%. The system was built using XAMPP, MySQL, and the Laravel Framework, with harvest mapping visualized through Leaflet.js. The primary contribution of this study is providing a GIS-based tool that not only simplifies the visual mapping of harvest results but also enhances the effectiveness of decision-making by the Department of Agriculture. This includes identifying sub-districts with low harvest yields for prioritized aid and assisting farmers in monitoring harvest progress spatially. With more accurate predictions, this system has the potential to support efficient resource allocation and data-driven agricultural policies.
Implementasi Peramalan Penjualan Nasi Kotak Este Catering Berbasis Web dengan Metode Double Exponential Smoothing
Authors: In'am Ludytio Akhsanul , Irawan Joseph Dedy , Wibowo Suryo Adi
Published: December 2024

Abstrak:

Penelitian ini bertujuan untuk menghadirkan solusi teknologi informasi yang inovatif dalam bentuk peramalan penjualan nasi kotak eSTe Catering dengan menggunakan metode Double Exponential Smoothing berbasis website, guna meningkatkan efisiensi dan efektivitas dalam melakukan peramalan penjualan pada usaha eSTe Catering. Diharapkan melalui penelitian ini, penjualan lebih terukur dan pemilik usaha mudah untuk memonitoring penjualan dalam usaha catering nasi kotaknya. Melalui metode Double Exponential Smoothing, peramalan penjualan nasi kotak dilakukan perhitngan peramalan dalam perbulan, yang membantu meningkatkan efektivitas penjualan. Pengujian menggunakan metode blackbox menunjukkan bahwa sistem berfungsi sesuai ekspektasi dan dapat diandalkan dalam meminimalisir error serta meningkatkan kualitas peramalan. Hasil penelitian ini menunjukkan bahwa aplikasi berbasis web ini efektif dalam mendukung peramalan nasi kotak dan disarankan untuk dikembangkan lebih lanjut menjadi aplikasi berbasis mobile untuk meningkatkan fleksibilitas, aksesibilitas dan efisiensi.

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Abstract:

This research aims to present innovative information technology solutions in the form of forecasting sales of eSTe Catering boxed rice using the website-based Double Exponential Smoothing method, in order to increase efficiency and effectiveness in forecasting sales at eSTe Catering business. It is hoped that through this research, sales are more measurable and business owners are easy to monitor sales in their boxed rice catering business. Through the Double Exponential Smoothing method, forecasting of boxed rice sales is done monthly, which helps increase sales effectiveness. Testing using the blackbox method shows that the system functions as expected and is reliable in minimizing errors and improving forecasting quality. The results of this study indicate that this web-based application is effective in supporting the forecasting of boxed rice and it is recommended to be further developed into a mobile-based application to improve flexibility, accessibility and efficiency.
The Relationship Between Constant and Spring Stretch in Hooke's Law Material Using Virtual Lab (PhET)
Authors: Budiman Arief , Nufus Ayu Tazkyatun , Moenore Dian Morika , Rustiani Eka Astria
Published: December 2024

This study aims to analyze the relationship between spring constant and spring stretch using Virtual Lab (PhET). The method used in this study is an experimental method that allows testing hypotheses or theories through the control of certain variables to understand the cause-and-effect relationship between independent and dependent variables. The independent variable in this study is the mass that is changed to affect the spring, while the dependent variable is the change in the position of the spring and the force produced. The simulation was carried out using PheT learning media. The first thing to do is to vary the mass. Then you will get the result of increasing the length for each mass. After that, the data that has been obtained is analyzed to determine the spring coefficient. Based on these simulations, it can be concluded that a spring's elasticity level influences the stretching level that occurs after a spring is treated in the form of varying masses. 
Traditional Game Lato-Lato: Physics Learning Media to Improve Students’ Conceptual Mastery of Collision and Momentum Materials
Authors: Zidni Rafi , Mudzaki M K , Setiaji Bayu
Published: December 2024

Physics is a science that studies natural phenomena, but students' interest in this subject is often low because it is considered abstract and difficult. The traditional approach to physics learning, which often focuses on theory, is less appealing to many students. One effective way to increase students' understanding and interest is through experimentation and the use of adequate teaching aids. In this context, the traditional game of Lato-Lato shows great potential as an innovative learning medium. This research aims to find out the concept of physics through the lato-lato game. This article reviews Lato-Lato's role in teaching physics concepts, especially in collision and momentum matter. This study uses a literature review method to evaluate the existing literature related to the use of Lato-Lato in physics education. The review process involves identifying, selecting, and critically evaluating literature from various academic databases. The results of the study indicate that Lato-Lato can be an effective learning tool by integrating physics theory with real practice in an interactive and fun way. This game not only helps students understand difficult physics concepts through hands-on experience, but also increases their motivation and interest in learning physics. The integration of Lato-Lato in physics learning can enrich teaching methods by providing a more contextual and practical approach.
A Study of the Results of Time-Dependent Ginzburg-Landau Equation Using Scilab
Authors: Alfargana Tanzillal , Sutomo Artono Dwijo , Anwar Fuad
Published: December 2024

This study aims to examine computational (numerical) programs in solving the Ginzburg-Landau Time-Dependent Equation. The Ginzburg-Landau Time-Dependent Equation (TDGL), which is often used to model the dynamics of superconductors in external magnetic fields.  The TDGL equation is made using the Scilab platform, then the results are compared with the results of Fortran. This study involves experiments with variations in superconductor size to observe their effect on simulation results. The main focus of this study is to study the relationship between the mean magnetization of superconductors and external magnetic fields (He), as well as to evaluate the accuracy and efficiency of the results obtained from the two computing platforms.  These results show the relationship between the mean of the superconductor magnetization and the external magnetic field, as well as a comparison of the Vs He graph of Scilab and Fortran showing the relationship between the superconductor order parameters and the external magnetic field.
Application of the Contextual Teaching and Learning (CTL) Learning Model with the Help of Quizizz as an Evaluation Media in Improving Problem Solving Ability
Authors: Laila Nur , Muzana Syarifah Rahmiza , Mirdayanti Rina
Published: December 2024

Literacy and numeracy in physics are still lacking which is dominated by teachers and is always considered difficult by SMA Negeri 1 Blangkejeren students, The purpose of this study was to determine the Contextual Teaching and Learning (CTL) and Quizizz learning models can improve students' problem solving skills on momentum and impulse material. The method used in this research is the Quasy experiment method with a quantitative approach and the research design is Nonequivalent Control Group Design. This research was carried out by giving a pretest-posttest class. By cluster random sampling techniques, so the samples determined were class X. The number of samples per class is 27 students. The research measurement tools used in the study were RPP and LKPD that had been prepared containing several steps of the CTL learning model that were to be realized in the teaching and learning process as well as test questions to obtain data related to the results of students' problem-solving abilities. The tests that were prepared in the form of questions included 13 questions based on ability indicators based on Bloom's Taxonomy including C1 (understanding) to C5 (evaluating). The test data provided were the average pre-test and post-test scores CTL (Contextual Teaching and Learning) learning with Quizizz evaluation media provides better results than using conventional learning models, with game-shaped questions and scores making SMA Negeri 1 Blangkejeren students compete to get better scores.
La frontera norte mexicana y sus demonios
Authors: Trujillo Muñoz Gabriel
Published: December 2024

En la tarde y noche del 14 de noviembre de 2018, los tijuanenses, los residentes de la zona llamada Playas de Tijuana en la frontera norte de México, mostraron, de una manera brutal, de una forma agresiva, lo que muchos mexicanos piensan: que estamos siendo invadidos por los migrantes centroamericanos que recorren el país, de sur a norte, en grandes caravanas y cuyo objetivo es pedir asilo en los Estados Unidos.