Miracle-dz/UniFAR-FTUs huggingface dataset:
Mediterranean diet and metabolic status in post-menopausal women living in a mediterranean area

BACKGROUND: Limited data are available regarding the association between dietary habits and metabolic outcomes in post-menopausal women living in Italy. OBJECTIVE: To investigate the relation between adherence to the Mediterranean diet and prevalence of overweight/obesity, type-2 diabetes, hypertension and dyslipidemias in a sample of post-menopausal women. METHODS: Data on 499 women were extracted from a population-based representative sample collected in Sicily, southern Italy. High adherence to the Mediterranean diet was defined as being in the highest quartile of a score used to calculate the level of adherence in the entire cohort. RESULTS: Only 15.8% (n = 83) of the study sample was found to have high adherence to the Mediterranean diet; these individuals were less likely to be overweight [odds ratio (OR) = 0.52, 95% confidence interval (CI): 0.31–0.86] and obese (OR = 0.38, 95% CI: 0.18–0.78) as well as having dyslipidemias (OR = 0.50, 95% CI: 0.30–0.84). Among individual components of the Mediterranean diet adherence score used, obesity was inversely associated with fruit component, type-2 diabetes with cereals and olive oil, hypertension with fruit and dairy products, dyslipidemias with legumes and dairy products. CONCLUSIONS: Higher adherence to the Mediterranean diet was associated with better metabolic status in post-menopausal women.
Analisis Kekuatan Struktur Pada Bangunan 8 Lantai Berdasarkan Respon Spektrum SNI 03-1726-2019 Menggunakan SAP2000

Suatu struktur bangunan gedung terdiri atas beberapa elemen struktur penyusunnya seperti kolom, balok, pelat lantai, shearwall, pondasi, dan rangka atap. Indonesia merupakan daerah rawan terhadap gempa karena dilalui oleh jalur pertemuan 3 lempeng tektonik. Provinsi Jawa Barat mengalami sebanyak 141 gempa bumi pada bulan Januari 2023 menurut Badan Metereologi, Klimatologi, dan Geofisika (BMKG). Kabupaten Bogor mengalami gempa bumi sebanyak 16 kali dalam rentang tahun 2012-2022. Upaya mitigasi kegagalan struktur di Indonesia akibat gempa sangat perlu dilakukan untuk mengetahui kondisi kinerja struktur bangunan tersebut terhadap gempa. Tujuan penelitian ini adalah untuk melakukan pemodelan menggunakan software SAP2000 serta menganalisis kekuatan struktur pada bangunan 8 lantai terhadap gempa dengan mengacu pada SNI 1726-2019 tentang tata cara perencanaan ketahanan gempa untuk struktur bangunan gedung dan non gedung. Penelitian dilakukan dengan menggunakan tiga skenario dengan metode respon spektrum. Pengujian kuat tekan beton digunakan menggunakan hammer test. Penyesuaian as built drawing perlu dilakukan karena terdapat perbedaan antara gambar rencana dengan kondisi existing. Pada hasil identifikasi kegagalan struktur Gedung X terdapat kegagalan pada saat beban gempa diinputkan. Terdapat 2 frames yang mengalami overstress pada skenario tiga. Berdasarkan hasil analisis simpangan antar lantai dan efek P-Δ, Gedung X dinilai aman karena nilai yang didapat tidak melebihi simpangan izin dan batas stabilitas struktur. Rekomendasi ini bertujuan untuk perencanaan pembangunan berikutnya. Rekomendasi struktur berupa penambahan dimensi kolom menjadi 500 mm 500 mm, serta pembesaran diameter tulangan menjadi 32 mm.
HighTech and

Technology advances are changing how companies and their employees do their respective jobs. The intervention of technology has revolutionized the way jobs are conceptualized, discussed, performed, and delivered. This analysis aims to deliver a summary of the impact of the adoption of advanced technology on job characteristics and the impact on job demand and continuous improvement, which can act as a reference for theorists and practitioners to map, research, and analyze the effect of technology on work systems and productivity. By presenting a systematic review of the literature along with several avenues for future research, we hope that this research will contribute to job demand and ongoing research. A total of 30 articles were reviewed from a total generated article database of 335, which were systematically selected from different academic databases between 2001 and 2021. The review signifies the role of technology in influencing work complexities, privacy, workload, workflow interruptions, manual work, role expectations, and developmental opportunities. This study is pivotal in substantiating the influence of technology in work systems, besides furnishing variables and themes for further studies in the area.
Comprehensive Understanding of the Effect of TGO Growth Modes on Thermal Barrier Coating Failure Based on a Simulation

The growth stress induced by thermally grown oxide (TGO) is one of the main reasons for the failure of thermal barrier coatings (TBCs). In this study, the failure behavior of TBCs was examined based on different growth modes of TGO. A TBC thermo-mechanical model with a simplified sinusoidal interface morphology was established by the secondary development of a numerical simulation. The plasticity and creep behavior of materials were considered. Based on the subroutine development, the non-uniform growth of the TGO layer was realized. Cohesive elements were also applied to the TC/TGO interface. The stress distribution and evolution at the TC/TGO interface were investigated. Then, the cracking behavior near the interface was studied. The results show that lateral growth causes the off-valley site to replace the previous off-peak site as a vulnerable site. The non-uniform growth accelerates damage in the off-valley site, which leads to a change in the failure behavior. These results will provide significant guidance for understanding the TBC failure and the development of advanced TBCs.
Vibrio spp. disinfection and immunization of Cobia (Rachycentron canadum) for the prevention of disease in aquaculture facilities.

Cobia (Rachycentron canadum) is a tropical marine fish, with increasing commercial aquaculture importance worldwide. One of the major limitations to intensive aquaculture is disease. Diseases spread rapidly in an aquatic environment and pose a major threat to the development and introduction of new species, such as cobia, in aquaculture. This is due to the necessity to use wild caught broodstock, which pose a greater threat to introducing disease to a facility. Bacteria of the genus Vibrio play a major role in the diseases of cultured cobia and other species of marine fish. The goal of this study is to reduce the incidence of disease in a population, by either eliminating the potential pathogen or increasing the resistance of the host. To reach that goal, a disinfection assay to evaluate the effectiveness of nine common aquaculture chemical disinfecting compounds was evaluated against two bacterial pathogens (Vibrio anguillarum and V. ordalii). Both bacterial species were susceptible to a variety of common disinfecting compounds including Chloramine-T®, chlorine, ethanol, iodine, Lysol®, Roccal®-D Plus, and Virkon-S®. In addition, both species showed a resistance to disinfection with formalin and tap water. The humoral immune response of cobia to vaccination with a commercially-available vaccine for Vibrio spp. was evaluated by an ELISA. There was a significant difference between control and vaccinated groups (P<0.0001), showing significant antibody production resulting from vaccination.
Agderia – a postglacial lost land in the southern Norwegian North Sea

1Natural History Museum, University of Oslo, Box 1172 Blindern, 0318 Oslo, Norway. 2Volcanic Basin Petroleum Research as (VBPR), Oslo Science Park, 0349 Oslo, Norway. 3Centre for Earth Evolution and Dynamics (CEED), University of Oslo, Box 1028 Blindern, 0315 Oslo, Norway. 4Tullow Oil Norway, Tordenskiolds gate 6B, 0160 Oslo, Norway. 5Department of Earth Science, University of Bergen, Allégt. 41, 5007 Bergen, Norway. 6Norwegian Maritime Museum, Bygdøynesveien 37, N–0286 Oslo, Norway.
A New Framework for Smart Doors Using mmWave Radar and Camera-Based Face Detection and Recognition Techniques

By integrating IoT technology, smart door locks can provide greater convenience, security, and remote access. This paper presents a novel framework for smart doors that combines face detection and recognition techniques based on mmWave radar and camera sensors. The proposed framework aims to improve the accuracy and some security aspects arising from some limitations of the camera, such as overlapping and lighting conditions. By integrating mmWave radar and camera-based face detection and recognition algorithms, the system can accurately detect and identify people approaching the door, providing seamless and secure access. This framework includes four key components: person detection based on mmWave radar, camera preparation and integration, person identification, and door lock control. The experiments show that the framework can be useful for a smart home.
Evaluation of Hypoplastic Clay Model for Deep Excavation Modelling

Abstract This paper presents an evaluation of the Hypoplastic Clay constitutive model for finite element analysis of deep excavations and displacements induced by excavations in the influence zone. A detailed description and formulation of the Hypoplastic Clay soil model is included. A parametric case study of a deep excavation executed in Pliocene clays is presented. FE analysis was performed using several soil models (Mohr-Coulomb, Modified Mohr-Coulomb, Drucker-Prager, Modified Cam-Clay, Hypoplastic Clay) and the results were compared to in-situ displacements measurements taken during construction. Final conclusions concerning the suitability of the Hypoplastic Clay model for deep excavation modelling in terms of accurate determination of horizontal displacements of the excavation wall, the uplift of the bottom of excavation, and, most importantly, vertical displacements of the terrain in the vicinity of the excavation are presented.
Along the Giant’s Footprints: Bama China

When McDonald’s entered Chinese market in 1989, Bama Company, a key supplier of McDonald’s deserts, followed to explore this potential high-volume bakery goods kingdom in Asia. Having been influenced by western culture since the economic reform in the 1980s, Chinese people, especially the young generation, love to enrich their daily diet with western food. Along with American fast food booming in China, bakery products, such as cakes, cookies, and other deserts are also well accepted by consumers. This case introduces how Bama grows its international market by following its giant client. While maintaining its long term partnership with McDonald’s, Bama also develops other clients in the fast food chain in this unfamiliar yet exciting world. Bama China further seeks more expansion and explores larger growth in the Asian-Pacific region to develop bakery markets. This case study discusses several options for the future of Bama China.
From Lome to Cotonou: The new EU-ACP agreement

This working paper describes and evaluates the Cotonou Agreement signed by the EU and the ACP group in June 2000. The Agreement is compared to the recently ratified EU-South Africa Agreement and the US Caribbean Basin Initiative. The paper reviews three cases of sensitive products - bananas, sugar and beef and veal, in which the partners have special interests. It is found that the Cotonou Agreement could have a beneficial impact on ACP countries by increasing trade in sensitive products; the gains are therefore unevenly distributed across countries and regions. Moreover, part of these potential gains will be diverted to LDCs both within and outside the group as a result of the recently adopted EU ‘Everything but Arms’ Initiative. Countries not involved in trade in sensitive products might expect a minor impact of the Agreement, mainly as a result of a restructuring of EU development aid and a derived increase in regional trade among the ACP countries. However, the extent of the beneficial impact will depend crucially on the outcome of future negotiations for Regional Economic Partnership Agreements with groups of countries within the ACP group. These negotiations could prove to be difficult, in part due to the large differences between ACP countries and a lack of economic incentives for LDCs within the group to strike new deals. To be administrable for developing countries, the regional agreements should be kept sim-ple.
Técnicas de Inteligência Computacional Aplicadas à Estabilidade nos Sistemas DSL

The stability of digital subscriber lines (DSL) becomes a major challenge when tripleplay services are provisioned. These services must be reliable, while requiring relatively high transmission rates and low latency for an overall improved quality of experience. However, the stabilization tools available in DSL systems such as the automatic margin adaptation (AMA), interleaving, impulse noise protection (INP) and virtual noise (VN) usually trade off bit rate or latency in an attempt of improving the stability. The current work, on the other hand, presents a novel approach to the stabilization of the DSL lines. This approach is based on multiuser spectra coordination that seeks to mitigate crosstalk interference effect such that feasible bit rate requirements and power restrictions are met with optimized noise margin. As only physical layer parameters are adjusted, latency is not affected by the method. The problem is posed as a multiuser margin optimization problem and solved by evolutionary algorithms in conjunction with power minimization techniques. Simulations show that the proposed method provides significant improvements in terms of noise margin when compared to a previous algorithm, achieving higher protection for the network without penalizing bit rate or latency.
A New Identity Authentication and Key Agreement Protocol Based on Multi-Layer Blockchain in Edge Computing

In today’s interconnected world, identity authentication and key agreement are important links in the secure communication process of IoT terminal devices. In the edge computing environment, with the frequent cross-domain authentication and data sharing of IoT devices in different security domains, identity authentication faces a series of challenges and security issues. Most of the traditional identity authentication methods are based on public key infrastructure, which is prone to single point of failure and is not applicable to the distributed architecture of edge computing. In this article, we apply blockchain technology to the identity authentication and key agreement process of IoT terminal devices. In order to meet cross-domain requests from terminal devices in different security domains, a multi-layer blockchain authentication architecture is designed. The hash value of the digital certificate is stored on the blockchain and combined with dynamic accumulator technology to enhance the reliability and authentication efficiency of the digital certificate. Security analysis and experimental results demonstrate that our scheme can achieve efficient and secure authentication and key agreement.
Estimation of Tree Height and Forest Biomass Using Airborne LiDAR Data: A Case Study of Londiani Forest Block in the Mau Complex, Kenya

Tactical decisions on natural resource management require accurate and up to date spatial information for sustainable forest management. Remote sensing devices by the use of multispectral data obtained from satellites or airborne sensors, allow substantial data acquisition that reduce cost of data collection and satisfy demands for continuous precise data. Forest height and Diameter at Breast Height (DBH) are crucial variables to predict volume and biomass. Traditional methods for estimation of tree heights and biomass are time consuming and labour intensive making it difficult for countries to carry out periodic National forest inventories to support forest management and REDD+ activities. This study assessed the applicability of LiDAR data in estimating tree height and biomass in a variety of forest conditions in Londiani Forest Block. The target forests were natural forest, plantation forests and other scattered forests analysed in a variety of topographic conditions. LiDAR data were collected by an aircraft flying at an elevation of 1550 m. The LIDAR pulses hitting the forest were used to estimate the forest height and the density of the vegetation, which implied biomass. LiDAR data were collected in 78 sampling plots of 15 m radius. The LiDAR data were ground truthed to compare its accuracy for above ground biomass (AGB) and height estimation. The correlation coefficients for heights between LiDAR and field data were 0.92 for the pooled data, 0.79 in natural forest, 0.95 in plantation forest and 0.92 in other scattered forest. AGB estimated from LiDAR and ground truthed data had a correlation coefficient of 0.86 for the pooled data, 0.78 in natural forest, 0.84 in plantation forest and 0.51 in other scattered forests. This implied 62%, 84% and 89% accuracy of AGB estimation in natural forests, other scattered forests and plantation forests respectively. The even aged conditions of plantation forests might have resulted to better estimates of height and AGB as compared to uneven aged natural forests and scattered forests. The results imply the reliability of using Airborne LIDAR scanning in forest biomass estimates in Kenya and are an option for supporting a National Forest Monitoring System for REDD+.
Roles of immune microenvironment in the female reproductive maintenance and regulation: novel insights into the crosstalk of immune cells

Female fertility decline is an accumulative consequence caused by complex factors, among them, the disruption of the immune profile in female reproduction stands out as a crucial contributor. Presently, the effects of immune microenvironment (IME) on the female reproductive process have attracted increasing attentions for their dynamic but precisive roles. Immunocytes including macrophages, dendritic cells, T cells, B cells and neutrophils, with diverse subpopulations as well as high plasticity functioned dynamically in the process of female reproduction through indirect intercellular communication via specific cytokine release transduced by molecular signal networks or direct cell-cell contact to maintain the stability of the reproductive process have been unveiled. The immune profile of female reproduction in each stage has also been meticulously unveiled. Especially, the application of single-cell sequencing (scRNA-seq) technology in this process reveals the distribution map of immune cells, which gives a novel insight for the homeostasis of IME and provides a research direction for better exploring the role of immune cells in female reproduction. Here, we provide an all-encompassing overview of the latest advancements in immune modulation within the context of the female reproductive process. Our approach involves structuring our summary in accordance with the physiological sequence encompassing gonadogenesis, folliculogenesis within the ovaries, ovulation through the fallopian tubes, and the subsequent stages of embryo implantation and development within the uterus. Our overarching objective is to construct a comprehensive portrayal of the immune microenvironment (IME), thereby accentuating the pivotal role played by immune cells in governing the intricate female reproductive journey. Additionally, we emphasize the pressing need for heightened attention directed towards strategies that focus on immune interventions within the female reproductive process, with the ultimate aim of enhancing female fertility.
Neuroprotective peptides as drug candidates against Alzheimer's diasease

First described by Alois Alzheimer in 1907, Alzheimer's disease (AD) is the most common dementia type, affecting approximately 20 million people worldwide. As the population is getting older, AD is a growing health problem. AD is characterized by the presence of neuritic plaques containing the amyloidbeta peptide (Abeta) and an intraneuronal accumulation of tubule-associated protein called tau. Currently available treatment used in AD is based on acetylcholinesterase inhibitors, since in the course of AD there is a substantial loss in cholinergic neurons. Another registered drug used in more severe AD is the NMDA antagonist-memantine. From a drug development point of view, some potential new AD therapeutics include neuroprotective peptides that may act in a variety of different ways, e.g. they help to break the amyloid plaque formation, modulate peptide processing enzymes (secretases) or are able to degrade Abeta toxic peptide. In this review, we present an overview of the new classes of compounds in use against AD.
Earthquake rupture extents and coseismic slips promoted by damaged fault zones

Here we investigate the effects of damage fault zones on rupture propagation by conducting a series of 3‐D dynamic rupture simulations on a planar vertical strike‐slip fault. We find that damage fault zones can promote rupture extent and increase earthquake potency. The waves reflected from the bottom of shallow damage fault zones can increase shear stress on the fault and thus promote rupture propagation. In addition, the promotional effects increase with the width and depth extent of damage fault zones. The overall effects of the waves reflected from the fault‐parallel side boundaries of damage fault zones are unfavorable for rupture propagation. Therefore, rupture propagation is promoted with the increased width of fault zones due to geometrical spreading effects. Moreover, nonground‐breaking ruptures may reach the ground surface with the effects of damage fault zones. Furthermore, along‐strike segmented fault zones as suggested by observations could also promote ruptures and may lead to preferred rupture directions if epicenters are close to fault zones. The effects of damage fault zones on rupture propagation hold important implications on assessing earthquake risk.
Lessons learned from exceptional responders

ABSTRACT Introduction: Since the advent of anti-cancer therapies, physicians have observed that certain patients experience deep, durable responses to these agents (exceptional responders). The application of next-generation sequencing methodologies to these responders has revealed in many cases novel predictive biomarkers of drug sensitivity and could result in the salvage of drugs that would otherwise be considered ineffective as anti-cancer agents. Areas covered: This review provides select examples of exceptional response analyses and the ramifications of these analyses upon biomarker selection and clinical trial design within the context of precision medicine. A literature search for ‘exceptional responder’ AND ‘targeted therapy’, ‘chemotherapy,’ or ‘immunotherapy’ was performed in PubMed to identify articles of interest. Expert opinion: Exceptional responses represent an invaluable tool to better understand the biology of genomic alterations in specific cancers and to identify predictive biomarkers of response. The National Cancer Institute has acquired tissue from exceptional responders across tumor types for detailed genomic analysis. These patient tumors must be mined using available technology to help define populations most likely to respond to specific therapies.