bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluation of binding mechanism of dietary phytochemical, capsaicin, with human transferrin: targeting neurodegenerative diseases therapeutics
Authors: Alrouji Mohammed , Alhumaydhi Fahad A. , Venkatesan Kumar , Sharaf Sharaf E. , Shahwan Moyad , Shamsi Anas
Published: March 2024

Human transferrin (htf) plays a crucial role in regulating the balance of iron within brain cells; any disruption directly contributes to the development of Neurodegenerative Diseases (NDs) and other related pathologies, especially Alzheimer’s Disease (AD). In recent times, a transition towards natural compounds is evident to treat diseases and this shift is mainly attributed to their broad therapeutic potential along with minimal side effects. Capsaicin, a natural compound abundantly found in red and chili peppers, possess neuroprotective potential. The current work targets to decipher the interaction mechanism of capsaicin with htf using experimental and computational approaches. Molecular docking analysis revealed that capsaicin occupies the iron binding pocket of htf, with good binding affinity. Further, the binding mechanism was investigated atomistically using Molecular dynamic (MD) simulation approach. The results revealed no significant alterations in the structure of htf implying the stability of the complex. In silico observations were validated by fluorescence binding assay. Capsaicin binds to htf with a binding constant (K) of 3.99 × 106 M−1, implying the stability of the htf-capsaicin complex. This study lays a platform for potential applications of capsaicin in treatment of NDs in terms of iron homeostasis.
Bone and bone derived factors in kidney disease
Authors: Simic Petra
Published: March 2024

Purpose of review: Mineral and bone disorder (MBD) is a prevalent complication in chronic kidney disease (CKD), significantly impacting overall health with multifaceted implications including fractures, cardiovascular events, and mortality. Despite its pervasive nature, effective treatments for CKD-MBD are lacking, emphasizing the urgency to advance understanding and therapeutic interventions. Bone metabolism intricacies, influenced by factors like 1,25 dihydroxy vitamin D, parathyroid hormone (PTH), and fibroblast growth factor 23 (FGF23), along with intrinsic osseous mechanisms, play pivotal roles in CKD. Skeletal abnormalities precede hormonal changes, persisting even with normalized systemic mineral parameters, necessitating a comprehensive approach to address both aspects.

Recent findings: In this review, we explore novel pathways involved in the regulation of systemic mineral bone disease factors, specifically examining anemia, inflammation, and metabolic pathways. Special emphasis is placed on internal bone mechanisms, such as hepatocyte nuclear factor 4α, transforming growth factor-β1, and sclerostin, which play crucial roles in the progression of renal osteodystrophy.

Summary: Despite advancements, effective treatments addressing CKD-MBD morbidity and mortality are lacking, necessitating ongoing research for novel therapeutic targets.
Population genetics of Sida fallax Walp. (Malvaceae) in the Hawaiian Islands
Authors: Pejhanmehr Mersedeh , Kantar Michael Benjamin , Yorkston Mitsuko , Morden Clifford W.
Published: March 2024

Introduction

Sida fallax (Malvaceae) is the most widespread and variable taxon of Malvaceae in the Hawaiian Islands, growing with a diversity of morphological forms in different habitats including Midway Atoll, Nihoa, and all the main islands. Morphological variation exists within and among populations. The study aimed to investigate the genetic variation within and among populations from various habitats and geographic locations throughout the Hawaiian range of S. fallax.

Methods

A total of 124 samples, with up to five samples per population where possible, were collected from 26 populations across six of the main Hawaiian Islands (Kauaʻi, Oʻahu, Maui, Molokaʻi, Lānaʻi, and Hawaiʻi) and Nihoa in the Northwestern Hawaiian Islands. The sampling strategy encompassed collecting populations from different habitats and geographic locations, including coastal and mountain ecotypes, with many intermediate morphological forms. Multiplexed ISSR genotyping by sequencing (MIG-seq) was used to detect single nucleotide polymorphisms (SNP) and genetic differences among individuals and populations were evaluated using PCO analyses.

Results

The relationship of FST with the geographical distance between the populations was assessed using the Mantel test. The results showed that populations on a single island were more closely related to each other and to populations on islands within their respective groups than they were to populations on other islands.

Discussion

The overall genetic relationships among islands were, to a large extent, predictive based on island position within the chain and, to a lesser extent, within island topography.
A global study into Indian women’s experiences of domestic violence and control: the role of patriarchal beliefs
Authors: Satyen Lata , Bourke-Ibbs Madeleine , Rowland Bosco
Published: March 2024

Domestic violence (DV) is a serious and preventable human rights issue that disproportionately affects certain groups of people, including Indian women. Feminist theory suggests that patriarchal ideologies produce an entitlement in male perpetrators of DV; however, this has not been examined in the context of women from the Indian subcontinent. This study examined Indian women’s experiences of abuse (physical, sexual, and psychological) and controlling behavior across 31 countries by examining the relationship between the patriarchal beliefs held by the women’s partners and the women’s experience of DV. This study uses an intersectional feminist framework to examine the variables. Data from an online questionnaire was collected from 825 Indian women aged between 18 and 77 years (M = 35.64, SD = 8.71) living in 31 countries across Asia (37.1%), Europe (18.3%), Oceania (23.8%), the Americas (16.1%) and Africa (3.2%) and analyzed using a hierarchical linear regression. A majority of participants (72.5%) had experienced at least one form of abuse during their relationship, and over a third (35.1%) had experienced controlling behavior. In support of the central hypotheses, after controlling for potential confounders, women whose partners showed greater endorsement of patriarchal beliefs were less likely to have access to freedom during their relationship (ß = −0.38, p < 0.001) and were more likely to have been abused by their partner or a member of his family (ß = 0.34, p < 0.001). The findings of this study highlight the need to engage with men in Indian communities through culturally-tailored intervention strategies designed to challenge the patriarchal ideologies that propagate, justify, and excuse DV.
Prediction of cognitive impairment using higher order item response theory and machine learning models
Authors: Yao Lihua , Shono Yusuke , Nowinski Cindy , Dworak Elizabeth M. , Kaat Aaron , Chen Shirley , Lovett Rebecca , Ho Emily , Curtis Laura , Wolf Michael , Gershon Richard , Benavente Julia Yoshino
Published: March 2024

Timely detection of cognitive impairment (CI) is critical for the wellbeing of elderly individuals. The MyCog assessment employs two validated iPad-based measures from the NIH Toolbox® for Assessment of Neurological and Behavioral Function (NIH Toolbox). These measures assess pivotal cognitive domains: Picture Sequence Memory (PSM) for episodic memory and Dimensional Change Card Sort Test (DCCS) for cognitive flexibility. The study involved 86 patients and explored diverse machine learning models to enhance CI prediction. This encompassed traditional classifiers and neural-network-based methods. After 100 bootstrap replications, the Random Forest model stood out, delivering compelling results: precision at 0.803, recall at 0.758, accuracy at 0.902, F1 at 0.742, and specificity at 0.951. Notably, the model incorporated a composite score derived from a 2-parameter higher order item response theory (HOIRT) model that integrated DCCS and PSM assessments. The study's pivotal finding underscores the inadequacy of relying solely on a fixed composite score cutoff point. Instead, it advocates for machine learning models that incorporate HOIRT-derived scores and encompass relevant features such as age. Such an approach promises more effective predictive models for CI, thus advancing early detection and intervention among the elderly.
Twenty years of research on borderline personality disorder: a scientometric analysis of hotspots, bursts, and research trends
Authors: Liu Yuanli , Chen Chaomei , Zhou Ying , Zhang Na , Liu Shen
Published: March 2024

Borderline personality disorder (BPD), a complex and severe psychiatric disorder, has become a topic of considerable interest to current researchers due to its high incidence and severity of consequences. There is a lack of a bibliometric analysis to visualize the history and developmental trends of researches in BPD. We retrieved 7919 relevant publications on the Web of Science platform and analyzed them using software CiteSpace (6.2.R4). The results showed that there has been an overall upward trend in research interest in BPD over the past two decades. Current research trends in BPD include neuroimaging, biological mechanisms, and cognitive, behavioral, and pathological studies. Recent trends have been identified as “prevention and early intervention”, “non-pharmacological treatment” and “pathogenesis”. The results are like a reference program that will help determine future research directions and priorities.
The importance of rapid assessment tools in evaluating mental health in emergency departments among patients with chronic diseases
Authors: Vallath Aditya Lal , Sivasubramanian Barath Prashanth , Ravikumar Diviya Bharathi , Lalendran Akshita , Krishnan Suhasini , Samanta Sudeshna , Banerjee Snigda , Das Tania , Kundu Ritwick , Richharia Vyom , More Ravisha , Khithani Mishika , Nazimudeen Sahana , Gunturu Sasidhar , Dasgupta Indraneel
Published: March 2024

Background

Rapid screening tools such as the WHO well-being Index (WWBI), Six-item screener (SIS), and the CLOX-1 test can be used to assess overall mental health and cognition, respectively. We sought to evaluate mental health with cognition in individuals with chronic diseases and stable vital signs presenting to the Emergency Department (ED).

Methods

An observational study in the ED with 279 participants was conducted.

Results

Chronic diseases were more prevalent among 51–70 years (43.4%) and diabetes was most common (58.8%). Fever (22.6%) and GI bleeding (32.6%) presentation were high. Participants with low WWBI had low SIS compared to the ones with higher scores (83.3% vs. 17.7%, p < 0.001) and also had low CLOX-1 compared to ones with high CLOX-1 (67.3% vs. 5%, <0.001). A positive correlation between WWBI with SIS (correlation coefficient = 0.305, p < 0.001) and CLOX-1 (0.441, <0.001). Regression analysis indicates a positive association between WWBI and the SIS (standardized regression coefficient = 0.187, 95%CI = 0.236–1.426, and p = 0.006) and CLOX 1 (0.338, 0.2–0.463, <0.001).

Conclusion

In the ED, the evaluation of mental health even among cognitive impaired is feasible and crucial.
Assessment of search strategies in Medline to identify studies on the impact of long COVID on workability
Authors: Gehanno Jean-François , Thaon Isabelle , Pelissier Carole , Rollin Laetitia
Published: March 2024

Objectives

Studies on the impact of long COVID on work capacity are increasing but are difficult to locate in bibliographic databases, due to the heterogeneity of the terms used to describe this new condition and its consequences. This study aims to report on the effectiveness of different search strategies to find studies on the impact of long COVID on work participation in PubMed and to create validated search strings.

Methods

We searched PubMed for articles published on Long COVID and including information about work. Relevant articles were identified and their reference lists were screened. Occupational health journals were manually scanned to identify articles that could have been missed. A total of 885 articles potentially relevant were collected and 120 were finally included in a gold standard database. Recall, Precision, and Number Needed to Read (NNR) of various keywords or combinations of keywords were assessed.

Results

Overall, 123 search-words alone or in combination were tested. The highest Recalls with a single MeSH term or textword were 23 and 90%, respectively. Two different search strings were developed, one optimizing Recall while keeping Precision acceptable (Recall 98.3%, Precision 15.9%, NNR 6.3) and one optimizing Precision while keeping Recall acceptable (Recall 90.8%, Precision 26.1%, NNR 3.8).

Conclusions

No single MeSH term allows to find all relevant studies on the impact of long COVID on work ability in PubMed. The use of various MeSH and non-MeSH terms in combination is required to recover such studies without being overwhelmed by irrelevant articles.
A short-term, randomized, controlled, feasibility study of the effects of different vegetables on the gut microbiota and microRNA expression in infants
Authors: Ferro Lynn E. , Bittinger Kyle , Trudo Sabrina P. , Beane Kaleigh E. , Polson Shawn W. , Kim Jae Kyeom , Trabulsi Jillian C.
Published: March 2024

The complementary diet influences the gastrointestinal (gut) microbiota composition and, in turn, host health and, potentially, microRNA (miRNA) expression. This study aimed to assess the feasibility of altering the gut microbial communities with short-term food introduction and to determine the effects of different vegetables on the gut microbiota and miRNA expression in infants. A total of 11 infants were randomized to one of the following intervention arms: control, broccoli, or carrot. The control group maintained the milk diet only, while the other groups consumed either a broccoli puree or a carrot puree on days 1–3 along with their milk diet (human milk or infant formula). Genomic DNA and total RNA were extracted from fecal samples to determine the microbiota composition and miRNA expression. Short-term feeding of both broccoli and carrots resulted in changes in the microbiota and miRNA expression. Compared to the control, a trend toward a decrease in Shannon index was observed in the carrot group on days 2 and 4. The carrot and broccoli groups differed by weighted UniFrac. Streptococcus was increased on day 4 in the carrot group compared to the control. The expression of two miRNAs (i.e., miR-217 and miR-590-5p) trended towards decrease in both the broccoli and carrot groups compared to the control, whereas increases in eight and two different miRNAs were observed in the carrot and broccoli groups, respectively. Vegetable interventions differentially impacted the gut microbiota and miRNA expression, which may be a mechanism by which total vegetable intake and variety are associated with reduced disease risk.
Pareto task inference analysis reveals cellular trade-offs in diffuse large B-Cell lymphoma transcriptomic data
Authors: Blais Jonatan , Jeukens Julie
Published: March 2024

One of the main challenges in cancer treatment is the selection of treatment resistant clones which leads to the emergence of resistance to previously efficacious therapies. Identifying vulnerabilities in the form of cellular trade-offs constraining the phenotypic possibility space could allow to avoid the emergence of resistance by simultaneously targeting cellular processes that are involved in different alternative phenotypic strategies linked by trade-offs. The Pareto optimality theory has been proposed as a framework allowing to identify such trade-offs in biological data from its prediction that it would lead to the presence of specific geometrical patterns (polytopes) in, e.g., gene expression space, with vertices representing specialized phenotypes. We tested this approach in diffuse large B-cell lymphoma (DLCBL) transcriptomic data. As predicted, there was highly statistically significant evidence for the data forming a tetrahedron in gene expression space, defining four specialized phenotypes (archetypes). These archetypes were significantly enriched in certain biological functions, and contained genes that formed a pattern of shared and unique elements among archetypes, as expected if trade-offs between essential functions underlie the observed structure. The results can be interpreted as reflecting trade-offs between aerobic energy production and protein synthesis, and between immunotolerant and immune escape strategies. Targeting genes on both sides of these trade-offs simultaneously represent potential promising avenues for therapeutic applications.
Characteristics of Delayed Graft Function and Long-Term Outcomes After Kidney Transplantation From Brain-Dead Donors: A Single-Center and Multicenter Registry-Based Retrospective Study
Authors: Ahlmark Amanda , Sallinen Ville , Eerola Verner , Lempinen Marko , Helanterä Ilkka
Published: March 2024

Delayed graft function (DGF) after kidney transplantation is common and associated with worse graft outcomes. However, little is known about factors affecting graft survival post-DGF. We studied the association of cold ischemia time (CIT) and Kidney Donor Profile Index (KDPI) with the long-term outcomes of deceased brain-dead donor kidneys with and without DGF. Data from Finland (n = 2,637) and from the US Scientific Registry of Transplant Recipients (SRTR) registry (n = 61,405) was used. The association of KDPI and CIT with the graft survival of kidneys with or without DGF was studied using multivariable models. 849 (32%) kidneys had DGF in the Finnish cohort. DGF and KDPI were independent risk factors for graft loss, [HR 1.32 (95% CI 1.14–1.53), p < 0.001, and HR 1.01 per one point (95% CI 1.01–1.01), p < 0.001, respectively], but CIT was not, [HR 1.00 per CIT hour (95% CI 0.99–1.02), p = 0.84]. The association of DGF remained similar regardless of CIT and KDPI. The US cohort had similar results, but the association of DGF was stronger with higher KDPI. In conclusion, DGF and KDPI, but not CIT, are independently associated with graft survival. The association of DGF with worse graft survival is consistent across different CITs but stronger among marginal donors.
Fructooligosaccharides Supplementation: A Good Choice for the Prevention and Treatment of Non-Alcoholic Fatty Liver Disease?
Authors: Bezan Priscila Nogueira , Holland Héric , Vercesi Bárbara Ferreira , Ovídio Paula Payão , Simões Livia Maria Cordeiro , Jordão Alceu Afonso
Published: March 2024

Background and objectives: Carbohydrates such as fructooligosaccharides (FOSs) are associated with improved gastrointestinal health and the prevention of excess body fat. We evaluated the long-term effects of high amounts of FOS on metabolic parameters, non-alcoholic fatty liver disease (NAFLD) and short-chain fatty acids (SCFAs). Methods: Sixty C57BL/6 mice received the following diets for four months: control (C), normolipid rich in fiber (F), normolipid supplemented with FOS (FOS), high fat (HL), high fat with high fiber (HLF) and high fat with FOS (HLFOS). We analyzed the animal weight; body composition; food intake; fasting blood glucose; serum and liver lipid profiles; liver and intestinal histologies; malondialdehyde (MDA), hepatic retinol and α-tocopherol; and SCFAs in the feces. Results: Supplementation with FOS in a high-fat diet promoted less body weight gain and reduced liver and retroperitoneal adipose tissue weights compared to HL and HF. FOS prevented NASH and decreased alanine aminotransferase and serum cholesterol levels in experimental animal models of obesity and metabolic syndrome (MS). There were statistical differences found in the dosages of the three main SCFAs in feces (acetic, isobutyric and isovaleric acids). Conclusions: Long-term supplementation with high doses of FOS was effective in reducing weight, adiposity, NAFLD and serum cholesterol in C57BL mice with obesity and MS induced by a high-fat diet.
The Multilevel Chain Mediating Mechanism of College Faculty’s Felt Responsibility on Students’ Engagement in Green Building Learning
Authors: Chen Sen , Hou Yuyang , Zhang Yujie , Yao Zhenning , Shen Xinyi , Cao Luning , Yang Haohao , Wang Xinbo , Gui Fuwei , Cheng Junyang , Huang Qian
Published: March 2024

The limitations surrounding the education and teaching of green building courses in higher education institutions are becoming increasingly evident. The roles of instructors, the learning environments of green building-related courses, and the impact of student engagement in these courses are attracting significant academic interest. This study delves into the cross-level mediating roles of the green building learning climate and helping behaviors, exploring the link between instructors’ sense of responsibility and student engagement. It employs a multi-layer structural equation model for statistical analysis, utilizing paired survey data from 543 students and 51 instructors of green building courses, based on social cognitive theory. This paper incorporates the educational psychology concepts of “climate” and “mutual aid” with the green building learning climate and mutual aid behaviors. It provides a theoretical analysis of how instructors’ sense of responsibility in colleges influences students’ learning of green building knowledge and skills. By merging the ideas of “climate” and “mutual aid”, this study aims to theoretically examine the impact of instructors’ responsibility on student engagement with green building concepts. This approach seeks to offer new theoretical insights for pedagogical studies in green building courses.
Non-Linear Behaviour and Analysis of Innovative Suspension Steel Roof Structures
Authors: Juozapaitis Algirdas , Daniūnas Alfonsas , Ustinovichius Leonas
Published: March 2024

Suspension structures are one of the most effective roof load-bearing structures for medium to long spans. Their shape under symmetric loads is usually a square parabola or a curve close to it. The biggest drawback of such structures is their increased deformability under asymmetric loads. So-called rigid cables are used to solve this problem. However, the production of such rigid cables with a curvilinear shape is complicated, and their maintenance also has drawbacks due to the above-mentioned shape. To avoid these shortcomings, straight-line suspension structures have been used. This paper proposes a new form of combined suspension roof structures consisting of main load-bearing straight suspension elements supported by cable struts. For the main suspension elements, the bending stiffness is accepted, taking into account the operational requirements of the structure. This article analyses the behaviour of such a combined suspension structural system in symmetric conditions with an innovative approach. The arrangements of this system are discussed. The calculation of the forces and displacements of this structure and its elements is presented, taking into account the geometrical nonlinear behaviour. The distribution of the forces in the rigid elements and node displacements of the structure are discussed. The proposed new form of a combined cable-supported roof structure was shown to be more effective in terms of weight than the standard parabolic-shaped suspension structure.
Effect of Laser Irradiation Modes and Photosensitizer Types on Antimicrobial Photodynamic Therapy (aPDT) for Streptococcus sobrinus in the Crown Dentin of Bovine Teeth: An Experimental In Vitro Study
Authors: Yamaguchi Yohei , Yoshii Daiki , Katsuragi Hiroaki , Shinkai Koichi
Published: March 2024

This study aimed to assess the impact of different laser irradiation modes and photosensitizer types on the bactericidal efficacy of antimicrobial photodynamic therapy (aPDT). Dentin plates were prepared by sectioning the crown dentin of bovine teeth infected with Streptococcus sobrinus (n = 11). Nine aPDTs involving the combination of three 1% solutions of photosensitizers (brilliant blue, BB; acid red, AR; and methylene blue, MB) and three irradiation modes of semiconductor lasers (50 mW for 120 s, 100 mW for 60 s, and 200 mW for 30 s) were performed for each infected dentin plate, and the control consisted of the specimens not applied with aPDT. The bactericidal effects in 10 groups were evaluated using both assays of the colony count (colony-forming-unit: CFU) and adenosine triphosphate (ATP) (relative-light-unit: RLU). The data obtained were analyzed using the Kruskal–Wallis test (α = 0.05). The most aPDT groups exhibited significantly lower RLU and CFU values compared with the control (p < 0.05). The effect of irradiation modes on RLU and CFU values was significant in the aPDT group using BB (p < 0.05) but not in the aPDT group using AR or MB. The aPDT performed with AR or MB exerted a remarkable bactericidal effect.
Information Theoretic Study of COVID-19 Genome
Authors: Jacquet Philippe
Published: March 2024

In this paper, we analyse the genome sequence of COVID-19 on a information point of view, and we compare that with past and present genomes. We use the powerful tool of joint complexity in order to quantify the similarities measured between the various potential parent genomes. The tool has a computing complexity of several orders of magnitude below the classic Smith–Waterman algorithm and would allow it to be used on a larger scale.
Resuscitative Endovascular Balloon Occlusion of the Aorta in Non-Traumatic Out-of-Hospital Cardiac Arrest: A State-of-the-Art Review
Authors: Breglia Andrea , Pettenella Pietro , Cervino Laura , Fossa Claudio , Zanatta Mirko
Published: March 2024

Out-of-hospital cardiac arrest (OHCA) is one of the most important causes of death worldwide. Resuscitative endovascular balloon occlusion of the aorta (REBOA) is an interesting new device that has been developed as a bridge therapy to treat trauma patients with non-compressible torso hemorrhage. REBOA has also been tested in non-traumatic OHCA, but the results are inconclusive. The aim of this review is to describe the state of the art in the use of REBOA for the management of non-traumatic out-of-hospital cardiac arrest. We performed a state-of-the-art review of the literature, searching for the therapeutic role of REBOA in the management of non-traumatic OHCA. We interviewed PubMed, Central, and Embase, and searched for citations before May 2023 using these criteria: “non-traumatic out-of-hospital cardiac arrest” and “resuscitative endovascular balloon occlusion of the aorta”. We selected only observational studies because controlled trials have not been published yet. All studies demonstrated the feasibility of REBOA placement in the management of non-traumatic OHCA and the improvement of all perfusion markers. Although some important uncertainties still remain, REBOA has the potential to become a new cornerstone in the therapy of OHCA and change the management of cardiac arrest, especially in remote locations which require a long time for scene arrival and an even longer time for metropolitan hospital arrival, where an ECPR is available.
Orphan Nuclear Receptor Family 4A (NR4A) Members NR4A2 and NR4A3 Selectively Modulate Elements of the Monocyte Response to Buffered Hypercapnia
Authors: Phelan David E. , Reddan Ben , Shigemura Masahiko , Sznajder Jacob I. , Crean Daniel , Cummins Eoin P.
Published: March 2024

Hypercapnia occurs when the partial pressure of carbon dioxide (CO2) in the blood exceeds 45 mmHg. Hypercapnia is associated with several lung pathologies and is transcriptionally linked to suppression of immune and inflammatory signalling through poorly understood mechanisms. Here we propose Orphan Nuclear Receptor Family 4A (NR4A) family members NR4A2 and NR4A3 as potential transcriptional regulators of the cellular response to hypercapnia in monocytes. Using a THP-1 monocyte model, we investigated the sensitivity of NR4A family members to CO2 and the impact of depleting NR4A2 and NR4A3 on the monocyte response to buffered hypercapnia (10% CO2) using RNA-sequencing. We observed that NR4A2 and NR4A3 are CO2-sensitive transcription factors and that depletion of NR4A2 and NR4A3 led to reduced CO2-sensitivity of mitochondrial and heat shock protein (Hsp)-related genes, respectively. Several CO2-sensitive genes were, however, refractory to depletion of NR4A2 and NR4A3, indicating that NR4As regulate certain elements of the cellular response to buffered hypercapnia but that other transcription factors also contribute. Bioinformatic analysis of conserved CO2-sensitive genes implicated several novel putative CO2-sensitive transcription factors, of which the ETS Proto-Oncogene 1 Transcription Factor (ETS-1) was validated to show increased nuclear expression in buffered hypercapnia. These data give significant insights into the understanding of immune responses in patients experiencing hypercapnia.
PENGAMANAN DATA AKTA DENGAN METODE AES BERBASIS CLOUD COMPUTING
Authors: Fadhlil Khaliq Kahfi
Published: March 2024

Teknologi Cloud Computing sedang ramai digunakan pada saat ini. Cloud Computing yang berarti komputasi awan dalam bahasa indonesia beberapa tahun terakhir telah menjadi keyword terpanas di dunia Teknologi Informasi (TI). Pada Cloud Computing data disimpan di cloud storage dimana data yang kita simpan tidak tersimpan di media penyimpanan data eksternal kita seperti hardisk ataupun flashdisk melainkan tersimpan di internet. File disimpan di dalam server yang tersebar di seluruh dunia. Ketika kita melakukan update pada suatu file pada komputer atau smartphone kita makan file tersebut akan terupdate secara real time. Dengan konsep ini kita dapat mengakses data dimanapun dan kapanpun selama kita memiliki koneksi internet dan device untuk mengaksesnya. Dengan adanya Cloud Computing jelas akan menimbulkan perubahan dalam cara kerja sistem Teknologi Informasi dalam sebuah organisasi. Hal ini karena Cloud Computing melalui konsep virtualisasi, stadarisasi dan fitur mendasar lainnya dapat mengurangi biaya,  menyederhanakan pengelolaan layanan TI, dan mempercepat penghatantaran layanan.
PENGGUNAAN METODE C4.5 UNTUK KASUS KLASIFIKASI
Authors: Albert Albert
Published: March 2024

The use of data mining is very influential in everyday life. Data mining can be used for classification, prediction, association and regression. In data mining, there are many methods that can be used to process large data sets such as the C4.5 algorithm, naive Bayes, K-means and many more.

The C.45 algorithm is one of the methods for classification. The C4.5 algorithm is a modified algorithm of the ID3 algorithm. There are several modifications made to the C.45 algorithm such as continuous attributes as well as missing values. The purpose of the following article is to see words that have been used by previous researchers with the C4.5 method and the results obtained for the cases discussed.

The results of research conducted by previous researchers with the C4.5 method for classification cases received a fairly good accuracy value so that it can be ignored that the C4.5 method is suitable for use in classification cases.
SISTEM PENDUKUNG KEPUTUSAN PEMBERIAN KREDIT PADA KSP CU DAMAI SEJAHTERA DENGAN MENGGUNAKAN ANALYTIC HIERARCHY PROCESS
Authors: Nababan Mayurika Yohana Nababan
Published: March 2024

Koperasi Simpan Pinjam (KSP) Credit Union (CU) Damai Sejahtera Medan adalah salah satu perusahaan atau lembaga yang dapat memberikan pinjaman kredit. KSP CU Damai Sejahtera Medan memberikan bantuan pembiayaan dana dalam bentuk pembayaran kredit/cicil dan mempunyai beberapa sistem, prosedur dan persyaratan yang harus dipenuhi oleh anggota yang mengajukan. Faktanya, keputusan pemberian kredit yang digunakan di KSP CU Damai Sejahtera Medan berdasarkan hasil survey dari penulis belum menggunakan sistem yang dapat penyeleksian pemberian kredit. Oleh karena itu diperlukan sebuah sistem yang mampu membantu dalam mendukung pengambilan keputusan dengan lebih cepat, tepat dan akurat. Salah satunya adalah menggunakan metode Analytic Hierarchy Proses (AHP) karena metode ini merupakan salah satu metode yang dapat melakukan kriteria majemuk dan rinci dengan kerangka yang komperhensif dan pertimbangan proses hirarki yang kemudian dilakukan perhitungan bobot untuk masing-masing kriteria dalam menentukan kelayakan pemberian kredit. Kriteria yang digunakan yaitu Character, Capacity, Condition, Capital, dan Collateral dengan sub-kriteria yaitu Sangat Baik, Baik, Cukup, Kurang, dan Sangat Kurang. Bahasa pemograman yang digunakan dalam membangun sistem yaitu PHP dengan MySQL. Adapun hasil dari implementasi sistem yang telah dibangun yaitu menunjukkan bahwa metode AHP mampu dalam memberikan keputusan yang objektif dalam penentuan pemberian kredit.
IMPLEMENTASI ALGORITMA APRIORI UNTUK PENENTUAN POLA PERSEDIAAN BARANG PADA UD.CHANDRA JAYA TANI
Authors: Panjaitan Firta Sari
Published: March 2024

UD.Chandra Jaya Tani merupakan salah satu yang bergerak di bidang penjualan seperti berbagai macam pupuk, pestisida organik pembasmi hama, plastik mulsa, dan keperluan pertanian lainnya, dengan harga yang terjangkau. Dimana perusahan ini setiap harinya harus memenuhi kebutuhan konsumen dan di tuntut untuk mengabil keputusan yang tepat dalam menentukan pola persediaan barang. Permasalahan yang  sering terjadi adalah kehabisan persediaan stok barang karena tingkat belanja konsumen yang tidak beraturan dan penumpukan barang yang mengakibatkan kerugian pada UD.Chandra Jaya Tani. Teknik data mining banyak digunakan untuk menyelesaikan masalah  salah satunya adalah metode algorita apriori yang digunakan untuk memperoleh informasi tentang asosiasi antar produk dengan manfaatkan database transaksi. Tujuan dari penelitian ini untuk menentukan data persediaan barang dimasa yang akan datang berdasarkan penjualan sebelumnya dengan menerapkan algoritma apriori dimana, Algoritma Apriori adalah logika perhitungan yang menggabungkan suatu produk dengan produk lain melalui data transaksi produk. Hasil yang diperoleh dari penelitian ini adalah algoritma apriori mampu menetukan pola persediaan barang yang sering di minati konsumen dengan minimum support 10% dan confidence sebanyak 20%.
Tingkat Kebutuhan Fasilitas Digital pada Studio Arsitektur untuk Meningkatkan Produktivitas Mahasiswa Arsitektur di Era Digital
Authors: Lubis Aurora Salsabila
Published: March 2024

Profesi arsitek adalah profesi yang memiliki peran penting dalam mewujudkan perkembangan berkelanjutan. Arsitek harus mampu berkontribusi dan berperan aktif dalam mewujudkan lingkungan binaan bekelanjutan di Indonesia. Maka dari itu, pendidikan arsitektur adalah salah satu cara untuk melahirkan arsitek handal. Pendidikan arsitektur saat ini telah banyak diwariskan dari sistem-sistem pendidikan arsitektur di masa lalu, seperti: sistem pendidikan Beaux-Art hingga pendidikan sistem learning by doing. Sistem pendidikan arsitektur dengan metoda studio diharapkan akan melahirkan para arsitek yang professional. Pada kasus ini, peneliti menggunakan metoda mixed method, yaitu kualitatif dan kuantitatif. Data-data akan dikumpulkan dengan metoda (a) observasi, (b) Interview, dan (c) quisioner. Data-data tersebut kemudian dianalisa dengan metoda quantitative agar mendapatkan fasilitas-fasilitas yang dibutuhkan oleh mahasiswa studio arsitektur ketika menjalani proses belajar studio. Tabulasi data-data kuantitatif akan dikorelasikan dengan nilai mahasiswa yang sedang menjalani studio tersebut. Hasil dari penelitian ini membuktikan bahwa tingkat kebutuhan fasilitas studio arsitektur yang tertinggi adalah (1) komputer atau digital arsitektur, (2) bilik khusus, (3) kecepatan internet, (4) Air Conditioning, (5) pencahayaan ruangan yang cukup.
Simpuru: Gamifikasi Pembelajaran Bahasa Jepang dalam Aplikasi Berbasis Web
Authors: Pangaribuan Jefri Junifer , Maulana Ade , Zesty Jovita , Nadjar Faisal , - Robin
Published: March 2024

Berdasarkan hasil survei lembaga The Japan Foundation pada tahun 2018, Indonesia menduduki peringkat kedua sebagai negara dengan jumlah pelajar bahasa Jepang terbanyak. Meskipun demikian, ditemukan bahwa terdapat permasalahan dalam pembelajaran di Indonesia, yaitu pelajar tingkat pemula (level N5 dan N4) merasa takut untuk berkomunikasi menggunakan bahasa Jepang dan mengalami kebosanan. Pelajar juga kesulitan untuk menguasai Kanji dikarenakan jumlah huruf yang banyak serta tidak terbiasa dengan huruf tersebut. Untuk mengatasi permasalahan yang dihadapi pelajar tersebut, maka dirancanglah Simpuru yang merupakan aplikasi pembelajaran bahasa Jepang berbasis web dengan menggunakan teknik gamifikasi. Integrasi gamifikasi ke dalam pembelajaran dapat membantu membuat pelajaran menjadi lebih menyenangkan, membantu mengukur seberapa jauh pelajar menguasai suatu materi dan menyesuaikan tingkat latihan dengan tingkat penguasaan materi pelajar. Aplikasi dikembangkan dengan menggunakan metode Extreme Programming. Dari perancangan menghasilkan sebuah aplikasi pembelajaran bahasa Jepang dimana pelajar dapat memilih untuk mempelajari bahasa Jepang dengan flashcards/video atau mengerjakan soal latihan. Pelajar akan mendapatkan points, badges/trophy dan avatar setelah berhasil menyelesaikan latihan. Pelajar juga dapat melihat peringkat dirinya maupun temannya di Leaderboards.
MONITORING ARUS LISTRIK DAN KONTROL CIRCUIT BREAKER UNTUK ARUS LEBIH BERBASIS INTERNET OF THINGS (IOT)
Authors: Tama Ardiansyah Rizal , Winardi Slamet
Published: March 2024

untuk kebutuhan rumah tangga. Sikap ceroboh seseorang terhadap penggunaan listrik mengakibatkan kerugian yang juga berdampak pada kenaikan biaya penggunaan listrik. Oleh karena itu, diperlukan suatu alat yang dapat memantau penggunaan daya meskipun pengguna daya tidak berada di rumah dan dapat membatasi penggunaan beban saat ini. Pemadaman trip MCB terjadi ketika arus yang mengalir ke MCB melebihi batas maksimum MCB. MCB digunakan untuk mematikan instalasi listrik untuk melindunginya dari arus berlebih. Pemutusan beban listrik yang sering akan merusak MCB. Maka diperlukan sistem monitoring dan kontrol menggunakan circuit breaker berbasis IOT, alat yang dirancang untuk memonitor ini membutuhkan sensor arus, sensor tegangan, arduino dan circuit breaker. Sensor tegangan menggunakan sensor pzem-004t yang digunakan untuk melakukan pendeteksian tegangan. Arduino diperlukan untuk memproses data yang diperoleh. dan circuit breaker untuk memutus arus lebih pada tegangan tersebut.
The Implementation of Kuliah Kerja Nyata Information System for Higher Education
Authors: Sulistianingsih Indri , Akbar Ahmad , - Suheri , Winatra Muhammad Arya
Published: March 2024

This paper explores the implementation of a Kuliah Kerja Nyata (KKN) Information System for Higher Education. The KKN program is a mandatory community engagement program for Indonesian university students, which requires careful management and coordination between universities, students, and community partners. The paper discusses the benefits of implementing a KKN Information System, which can streamline the process of managing student placements, community partnerships, and program logistics. The paper also presents various research methods, such as system design, database design, information system design, testing, evaluation, and improvement, which can be used to effectively develop, test, and refine the KKN Information System to meet the specific needs of the university and its stakeholders. Ultimately, the implementation of a KKN Information System can help universities better manage their KKN programs, while providing students with a more meaningful and impactful community engagement experience.
Implementation of SEO on Dusun Nusantara Web-based Application as Tourism Promotion Media
Authors: Akbar Ahmad , Sulistianingsih Indri , Syam Fariz Harindra , Kurniawan Bagus
Published: March 2024

This study explores the implementation of SEO on the Dusun Nusantara web-based application as a tourism promotion media. This implementation aims to increase the number of tourist visits to Desa Kota Pari by improving the website's ranking in search engines like Google. The study analyzes the Google Analytics data for the last 90 days to evaluate the effectiveness of SEO implementation. The results show that the implementation of SEO has successfully increased the number of users and sessions on the application, indicating an increase in user interest in visiting the application. However, the high bounce rate of 76.76% needs improvement. Despite this, the average session duration of 1 minute 29 seconds indicates that users are interested in exploring pages in the application. The study concludes that implementing SEO in the DusunNusantara.com application is an effective strategy for promoting tourism in the area. By utilizing a web-based application, managers can provide complete and accurate information about existing tourism in Desa Kota Pari and Pantai Cermin, which can expand the reach of tourism promotion and increase the number of tourists visiting Desa Kota Pari. However, it is essential to improve the application's content to make it more exciting and relevant and to provide a more engaging and interactive experience to the app to increase visitor session duration. Thus, implementing SEO in the Dusun Nusantara application can be an effective strategy for promoting tourism and increasing tourist visits to the area.
Implementasi Aplikasi Mading Berbasis Website Pada Fakultas Teknik Dan Komputer Universitas Harapan Medan
Authors: Hidayat Dody , Riwandi Efri , - Ramli , Fitriana Liza
Published: March 2024

Wall magazines called Mading are one of the simplest types of written mass communication media. It is called a wall magazine because the basic principles of a magazine are dominant in it, while its presentation is usually attached to a wall or the like. Faculty of Engineering and Computer (FTK) Universitas Harapan (UnHar) Medan has several study programs: civil engineering, mechanical engineering, electrical engineering, informatics engineering, industrial engineering, information systems, and informatics management. FTK UnHar Medan in conveying information about academic and non-academic activities to students and other parties who need it is done by posting announcements on the campus Mading board, and this makes it challenging to obtain this information because students and parties who need it must come to campus and see directly on the Mading. From these problems, a study was conducted to design a website-based Mading application. The research used literature study, data collection, analysis, design, implementation, and system testing. The conclusion obtained from the final results of this study is to produce a website-based Mading application so that students and other parties who need information submitted by the campus, especially FTK UnHar, can be obtained quickly, accurately, and not limited by time because information can be accessed 24 hours online.
Analisis Perilaku Pelanggan menggunakan Metode Ensemble Logistic Regression
Authors: - Jeffry , Usman Syahrul , Aziz Firman
Published: March 2024

Customer behavior analysis is crucial for companies, especially Small and Medium Enterprises (SMEs), to make strategic decisions. Through customer behavior analysis, patterns of customer behavior in purchasing a product or service can be identified. This provides insights into preferences and the right strategies to maintain or increase customer loyalty. This research aims to analyze customer behavior using the ensemble logistic regression method. Data was collected from the company's customer database over the last 5 years. Customer behavior is characterized by gender, age, and the preferred vehicle transmission type. The ensemble logistic regression method was implemented to improve model accuracy. The results show that the ensemble technique can enhance the accuracy of the Logistic Regression method. Model accuracy significantly increased with boosting, achieving an accuracy of 76%, while the model with bagging achieved an accuracy of 75%.
Nursing students’ perception regarding educational environment in Vietnam
Authors: Nguyen Thi Hoa Huyen , Bui Thi Hien , Hoang Lan Van , Hoang Thi Hue , Phan Hong Anh
Published: March 2024

Objectives: To describe nursing students’s perceptions regarding their educational environment and identify its related factors.

Subjects and methods: A descriptive cross-sectional study was conducted among 1347 nursing students in ten nursing schools across Vietnam.

Results: Almost all nursing students (75.68%) reported their learning environment at a good level, and the mean score of the total DREEM was 120.75 ± 20.78. The multiple linear regression results indicated that the higher DREEM score was associated with a lower learning workload (β = -0.61, p < 0.05), and better generic skills (β = 4.56, p < 0.05).

Conclusion: To enhance the students’ educational environment, nursing schools and faculties should attemp to focus on a group of nursing students who reported a higher workload and less perceived generic skills.

Key words: nursing students’ perceptions, education environment, nurses.
Review on Design and Verification of an Advanced Extensible Interface - 4 Slave Devices
Authors: Harish T.L. , Chandrashekhar M.C.
Published: March 2024

An essential part of a system on a chip (SoC) is not just the components or blocks that it contains, but also how these components and blocks are connected to one another. Advanced Microcontroller Bus Architecture (AMBA) is a system that enables the individual blocks to interact with one another. These protocols have established the de facto standard for 32-bit embedded processors because they are widely documented and may be used without the payment of royalties. High-performance and high-frequency system designs may be designed with the aid of the AMBA AXI 4 protocol. It's ideal for systems that need both large bandwidth and low latency since it enables high-frequency operation without the use of complicated bridges. In addition to being compatible with older versions of the AHB and APB interfaces, it also allows for a wide range of possible configurations for the network's interconnects. Without the need for a bridge, many peripherals may be connected into AMBA-based CPUs via the use of this slave interface. By constructing a wrapper over the AXI4 slave interface, the newly created slave interface may also be used to link non-AMBA-based CPUs to a variety of peripherals. These peripherals include SPI, I2C, and UART, amongst others
Design of High Performance Operational Transconductance Amplifier
Authors: Vasudeva G. , Jatkar Mandar
Published: March 2024

Designing high-performance analog circuits is becoming increasingly challenging with the persistent trend toward reduced supply voltages. The main bottleneck in an analog circuit is the operational amplifier. At large supply voltages, there is a trade off among speed, power, and gain, amongs to ther performance parameters. Often these parameters present contradictory choices for the op-amp architecture. At reduced supply voltages, output swing becomes yet another performance metric to be considered when designing the opamp. Of the several architecture folded cascode OTA is used in which all the transistors are in saturation regime. Furthermore, in an effort to reduce costs and integrate analog and digital circuits onto a single chip, the analog designer must often face the challenges using CMOS processes. This paper covers the design and implementation of a novel CMOS folded cascode OTA designed in 1m technology. Covered topic include current source and sinks, differential amplifier, compensation techniques, two stage compensated OTA and cascode OTA. Our design emphasis is on practical design where power consumption and speed are critical. The OTA has very low settling time and can be used for high speed applications, such Analog-to–Digital converters, high speed Sigma-delta ADC.