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Clinical genomic profiling of cell-free nucleic acids (e.g. cell-free DNA or cfDNA) from blood and other body fluids has ushered in a new era in non-invasive diagnostics and treatment monitoring strategies for health conditions and diseases such as cancer. Genomic analysis of cfDNAs not only identifies disease-associated mutations, but emerging findings suggest that structural, topological, and fragmentation characteristics of cfDNAs reveal crucial information about the location of source tissues, their epigenomes, and other clinically relevant characteristics, leading to the burgeoning field of fragmentomics. The field has seen rapid developments in computational and genomics methodologies for conducting large-scale studies on health conditions and diseases – that have led to fundamental, mechanistic discoveries as well as translational applications. Several recent studies have shown the clinical utilities of the cfDNA fragmentomics technique which has the potential to be effective for early disease diagnosis, determining treatment outcomes, and risk-free continuous patient monitoring in a non-invasive manner. In this article, we outline recent developments in computational genomic methodologies and analysis strategies, as well as the emerging insights from cfNA fragmentomics. We conclude by highlighting the current challenges and opportunities.

The advent of the Fourth Industrial Revolution (4IR) has spurred the development of innovative products, significantly impacting industries reliant on technology-oriented machinery and equipment, notably the construction sector. In response, the Ministry of Works, through CIDB Malaysia, has implemented the Construction Strategy Plan 4.0 (2021 – –2025), grounded in 4IR principles, to facilitate the construction industry's gradual adaptation to technological advancements. Despite its introduction in 2016 to enhance project delivery efficiency and effectiveness, the extent of adoption of advanced 4IR-related technologies and the industry players' awareness of the importance of the Construction 4.0 strategic plan remains largely unexplored. Therefore, this paper examines the awareness and adoption level of CR 4.0 technologies in the Malaysian construction industry through a structured questionnaire survey with all G1-G7 contractors that registered with CIDB Malaysia. Based on 912 valid questionnaire responses received from these contractor grades, it has been identified that the awareness and adoption of most of the contractors in Malaysia on construction 4.0 technologies are predominantly at a semi-automation level. Most of the contractors in Malaysia especially lower grade contractors (

Background: Pseudomonas aeruginosa is an opportunistic pathogen that uses quorum-sensing (QS) and biofilm formation to subvert antibiotic therapy. Antibiotic resistance has led to a demand for alternative methods of treatment, and destabilizing the LasR-OdDHL binding with inhibitors offers a potential solution. Methods: This study aimed to construct a homology model of the LasR protein using the genetic sequence of the P. aeruginosa DMC-27b strain (GenBank: SMRY00000000.2). Molecular docking, molecular mechanics-based binding free energy calculation, and pharmacokinetic analysis were performed on 1900 3D structures collected from synthetic and natural compound databases to identify three potential lead molecules. These compounds were evaluated using ADMET (absorption, distribution, metabolism, excretion, toxicity) analysis, and molecular dynamics protocols were used to refine the results. Results: The three lead compounds showed higher binding capability with the LasR receptor than the native ligand and passed the ADMET evaluation stage. In total, 44 properties remained within the range of 95% of known drugs, indicating their potential efficacy as drugs against P. aeruginosa and other bacteria that use a similar QS system. Conclusions: This study provides insights into potential drug designing and development against clinical isolates of emerging P. aeruginosa strains and other bacteria that use a similar QS system.

IntroductionThe COVID-19 pandemic led to restrictions that prevented physical activity in public places. This study sought to conduct a comprehensive longitudinal analysis of how lockdown policies in an Arabian Gulf country influenced the patterns of physical activity during first wave.MethodsIn a longitudinal study design, members of the ongoing “Step into health” community-based health promotion program who provided valid pedometer data from January to August 2020, covering pre, during and post-covid first wave period met the inclusion criteria.Results420 (76.7% men, 13.8% ≤40 years) were included in the study. Overall, significant decline in daily step counts was recorded (−1,130 ± SE302) after the implementation of lockdown policies (p

This research explores the intersection of theology and ethics within the realm of values-based journalism, with a specific focus on the communication of Islamic perspectives. In the contemporary media landscape, where journalism plays a crucial role in shaping public discourse, it becomes imperative to analyze how Islamic values are communicated through the lens of ethical journalism. The study aims to investigate the application of Islamic theology and ethical principles in values-based journalism, emphasizing the role of media in reflecting and shaping societal norms. By employing a qualitative research approach, content analysis will be conducted on a sample of news articles, opinion pieces, and other journalistic content with an Islamic focus. The analysis will delve into how these pieces adhere to or deviate from established theological principles and ethical guidelines. Furthermore, the research seeks to identify challenges faced by journalists and media organizations when attempting to integrate Islamic values into their narratives. It also explores potential strategies and best practices for overcoming these challenges, fostering a more nuanced and ethical communication of Islamic perspectives. The findings of this study aim to contribute to the ongoing discourse on the role of theology and ethics in journalism, providing insights into how media professionals can effectively communicate Islamic values while upholding ethical standards. Ultimately, the research aspires to encourage a more informed and respectful portrayal of Islamic perspectives in the media, promoting dialogue and understanding in an increasingly diverse and interconnected global society.

An aircraft is a highly intricate system that features numerous subsystems, assemblies, and individual components for which regular maintenance is inevitable. The operational efficiency of an aircraft can be maximised, and its maintenance needs can be reduced using an effective yet automatic AI-based health monitoring systems which are more efficient as compared to designing and constructing expensive and harder to operate engine testbeds. It has been observed that aircraft engine anomalies such as undergoing flameouts can occur due to the rapid change in the temperature of the engine. Engine oil temperature and cylinder head temperature, two measures connected to this issue, might be affected differently depending on flight modes and operational conditions which in turn hamper AI-based algorithms to yield accurate prediction on engine failures. In general, previous studies lack comprehensive analysis on anomaly prediction in piston engine aircraft using modern machine learning solutions. Furthermore, abrupt variation in aircraft sensors' data and noise result in either overfitting or unfavourable performance by such techniques. This work aims at studying conventional machine learning and deep learning models to foretell the possibility of engine flameout using engine oil and cylinder head temperatures of a widely used Textron Lycoming IO-540 six-cylinder piston engine. This is achieved through pre-processing the data extracted from the aircraft's real-time flight data recorder followed by prediction using specially designed multi-modal regularised Long Short-Term Memory network to enhance generalisation and avoid overfitting on highly variable data. The proposed architecture yields improved results with root mean square error of 0.55 and 3.20 on cylinder head and engine oil temperatures respectively averaged over three case studies of five different flights. These scores are significantly better i.e., up to 84% as compared to other popular machine learning predictive approaches including Random Forest, Decision Tree Regression, Artificial Neural Networks and vanilla Long Short-Term Memory networks. Through performance evaluation, it can be established that the proposed system is capable of predicting engine flameout 2 minutes ahead and is suitable for integration with the software system of aircraft's engine control unit.

En toda la literatura árabe hay abundantes ejemplos de un fenómeno que podría llamarse “analogía de la hermosura”. Generalmente, estas comparaciones constituyen alegorías en las que reiterados rasgos de una mujer ideal son equiparados con características hermosas de ciertos animales, sin que el motivo de dicha asociación quede elucidado. La notable presencia de tales analogías en la tradición árabe, tanto en la poesía como en la lexicografía, denota una extensa tópica literaria más que un mero recurso estilístico aislado. Este artículo pretende exponer e identificar dichas manifestaciones literarias, así como sugerir posibles explicaciones acerca de su razón de ser en la tradición y la cultura árabes.

PurposeTo investigate the toxicity profile and establish an optimal dosing schedule of zotiraciclib with temozolomide in patients with recurrent high-grade astrocytoma.Patients and methodsThis two-stage phase I trial determined the MTD of zotiraciclib combined with either dose-dense (Arm1) or metronomic (Arm2) temozolomide using a Bayesian Optimal Interval design; then a randomized cohort expansion compared the progression-free survival rate at 4 months (PFS4) of the two arms for an efficient determination of a temozolomide schedule to combine with zotiraciclib at MTD. Pharmacokinetic and pharmacogenomic profiling were included. Patient-reported outcome was evaluated by longitudinal symptom burden.ResultsFifty-three patients were enrolled. Dose-limiting toxicities were neutropenia, diarrhea, elevated liver enzymes, and fatigue. MTD of zotiraciclib was 250 mg in both arms and thus selected for the cohort expansion. Dose-dense temozolomide plus zotiraciclib (PSF4 40%) compared favorably with metronomic temozolomide (PFS4 25%). Symptom burden worsened at cycle 2 but stabilized by cycle 4 in both arms. A significant decrease in absolute neutrophil count and neutrophil reactive oxygen species production occurred 12-24 hours after an oral dose of zotiraciclib but both recovered by 72 hours. Pharmacokinetic/pharmacogenomic analyses revealed that the CYP1A2_5347T>C (rs2470890) polymorphism was associated with higher AUCinf value.ConclusionsZotiraciclib combined with temozolomide is safe in patients with recurrent high-grade astrocytomas. Zotiraciclib-induced neutropenia can be profound but mostly transient, warranting close monitoring rather than treatment discontinuation. Once validated, polymorphisms predicting drug metabolism may allow personalized dosing of zotiraciclib.

Pengembangan dan pemanfaatan terhadap iluminasi naskah kuno perlu untuk dilakukan. Salah satunya merekayasa menjadi desain motif kain atau motif batik. Kegiatan dilaksanakan pada bulan Agustus hingga Desember 2022 dengan mitra Canting Buana Kreatif Padang Panjang dan Dewi Busana Pesisir Selatan. Metode yang digunakan adalah penyuluhan dan pelatihan. Kegiatan dilaksanakan dalam enam tahapan. Pertama, persiapan meliputi administrasi, penyusunan jadwal pelaksanaan, proses perizinan, dan panduan-panduan pada 19 Agustus hingga 30 September 2022. Kedua, diskusi terumpun untuk menghasilkan narasi eksotis desain motif batik pada 3 dan 4 Oktober 2022. Ketiga, pelatihan produksi batik yang diikuti perajin dan calon perajin batik serta mahasiswa pada 5 hingga 14 Oktober 2022 di Canting Buana Kreatif dan Dewi Busana. Keempat, produksi batik pada 14 hingga 26 Oktober 2022. Kelima, pelatihan digital marketing 31 Oktober dan 1 November 2022 di Universitas Andalas. Keenam, pameran produk batik yang dihasilkan oleh para peserta yang dilaksanakan pada 3 November sampai 4 Desember 2022 di Minangkabau Corner Universitas Andalas. Kegiatan ini melibatkan peran serta mitra dan mahasiswa. Mahasiswa yang terlibat aktif dalam kegiatan ini berjumlah 10 (sepuluh) orang. Manfaat dari kegiatan ini diharapkan adanya pembentukan ekosistem masyarakat yang sadar akan pemanfaatan warisan budaya (naskah kuno) untuk industri kreatif. Kegiatan ini bertujuan mengembangkan dan memanfaatkan khazanah warisan budaya berupa khazanah iluminasi naskah kuno untuk pengayaan desain motif batik Minangkabau. Kesimpulan dari kegiatan ini adalah perajin dari kedua rumah batik dan peserta mitra mampu mengembangkan dan memahami filosofi dari motif-motif pengembangan iluminasi naskah kuno Minangkabau.