Miracle-dz/UniFAR-FTUs huggingface dataset:
Human-Computer Interaction in Digital Mental Health

Human-computer interaction (HCI) has contributed to the design and development of some efficient, user-friendly, cost-effective, and adaptable digital mental health solutions. But HCI has not been well-combined into technological developments resulting in quality and safety concerns. Digital platforms and artificial intelligence (AI) have a good potential to improve prediction, identification, coordination, and treatment by mental health care and suicide prevention services. AI is driving web-based and smartphone apps; mostly it is used for self-help and guided cognitive behavioral therapy (CBT) for anxiety and depression. Interactive AI may help real-time screening and treatment in outdated, strained or lacking mental healthcare systems. The barriers for using AI in mental healthcare include accessibility, efficacy, reliability, usability, safety, security, ethics, suitable education and training, and socio-cultural adaptability. Apps, real-time machine learning algorithms, immersive technologies, and digital phenotyping are notable prospects. Generally, there is a need for faster and better human factors in combination with machine interaction and automation, higher levels of effectiveness evaluation and the application of blended, hybrid or stepped care in an adjunct approach. HCI modeling may assist in the design and development of usable applications, and to effectively recognize, acknowledge, and address the inequities of mental health care and suicide prevention and assist in the digital therapeutic alliance.
Bond Behaviour of Treated Natural Fibre in Concrete

The use of leaflet ribs from oil palm trees - Oil Palm Broom Fibres (OPBF) in reinforcingcement composites have shown some prospects according to recent studies. However, only little isunderstood regarding their bond interaction with cement matrices. Samples were prepared toinvestigate the pull-out response of OPBF in both single and combined form from concrete. For thecombined fibres, single OPBF strands were wound around one another longitudinally (in helical form)to form tendons. A comparison was made between the maximum bond strengths of untreated andtreated OPBF in concrete. The OPBF were pre-treated by soaking in sodium hydroxide andtriethylvinylsilane solutions to improve their bond strength with concrete. The reported treatmentscould improve the potential of OPBF tendons as reinforcement in lightly loaded concrete beamsultimately resulting in an environmentally friendly and affordable construction.
Seismicity and focal mechanism of earthquakes in Andaman Islands

Spatial distribution and temporal variation of earthquakes in Andaman-Nicobar Islands have been studied with the help of data from 1917 through 1974. Cross-sections showing the epicentral distribution versus focal depth along four zones in the region, were drawn to understand the nature of the dipping of the Indian plate. Earthquake recurrence curves were drawn for an area of 100 km radius around Port Blair Observatory for events upto the lowest magnitude 2 based on data during 1967-1974 and compared with these for the complete region for all the events recorded during 1964-1974 and also since 1917. Focal mechanisms of earthquakes are also discussed in the light of regional plate tectonics. Normal as well as thrust faulting was observed for earthquakes in the region. The agreement between the focal mechanism solutions and the regional tectonics was relatively better in the Nicobar Islands region as compared to that in the Andaman Islands. Seismicity increase followed by decrease was also noticed prior to some earthquakes close to Andaman Islands.
Template‐Assisted Self‐Assembly of Colloidal Silicon Nanoparticles for All‐Dielectric Nanoantenna

A solution‐based bottom‐up process to produce one‐ and two‐dimensional arrays of densely packed spherical nanoparticles (NPs) of crystalline silicon (Si), having the lowest order Mie resonance in the visible range, is developed. First, an agglomeration‐free solution of Si NPs with a narrow size distribution is prepared. By using grooves fabricated on the surface of a polymer as a template, arrays of Si NPs with different shapes are formed by a template‐assisted self‐assembly method, and then they are transferred to an arbitrary substrate. To demonstrate proper formation of Si NP arrays, polarization‐resolved scattering spectra are measured for different size linear arrays, i.e., a monomer to a pentamer, of Si NPs placed on a silica substrate. The observed spectra are well‐reproduced by the numerical simulations. When the polarization direction of incident light is parallel to the array axis, the scattering spectra are strongly modified from that of a Si NP monomer due to near‐field coupling of the electric dipole (ED) modes. In a Si NP tetramer, the peak of the ED mode overlaps with that of the magnetic dipole (MD) mode and strong forward scattering is observed at the MD peak wavelength due to the Kerker effect.
Crosstalk between Melanin Concentrating Hormone and Endocrine Factors: Implications for Obesity

Melanin-concentrating hormone (MCH) is a 19aa cyclic peptide exclusively expressed in the lateral hypothalamic area, which is an area of the brain involved in a large number of physiological functions and vital processes such as nutrient sensing, food intake, sleep-wake arousal, memory formation, and reproduction. However, the role of the lateral hypothalamic area in metabolic regulation stands out as the most relevant function. MCH regulates energy balance and glucose homeostasis by controlling food intake and peripheral lipid metabolism, energy expenditure, locomotor activity and brown adipose tissue thermogenesis. However, the MCH control of energy balance is a complex mechanism that involves the interaction of several neuroendocrine systems. The aim of the present work is to describe the current knowledge of the crosstalk of MCH with different endocrine factors. We also provide our view about the possible use of melanin-concentrating hormone receptor antagonists for the treatment of metabolic complications. In light of the data provided here and based on its actions and function, we believe that the MCH system emerges as an important target for the treatment of obesity and its comorbidities.
The Research of Trusted Security Architecture of MANET Node Based on OPNET

MANET has been widely used in some special application scenarios, but because of its own characteristics lead to less secure and easily be attacked, resulting in significant losses. In response to this situation, this paper proposes a new trusted security architecture of MANET nodes based OPNET. Borrowing the concept of trusted computing, to provide joint security in the MAC layer and network layer of multi-level, better than the traditional single-level security. According to the simulation results, we found little effect on the performance of the network, which can effectively improve the security of MANET.
An Examination of Loading Profiles for Youth Athletes Performing the Hang Power Clean

Weightlifting derivatives have become an increasingly popular form of resistance training among youth athletes over the past decade. This study aimed to examine the loading profiles of youth athletes during the hang power clean to determine optimal loading parameters for force, power, rate of force development, and barbell velocity. Sixteen male youth athletes (Age: 16.94 ± 0.97 years; Height: 180.08 ± 8.14 cm; Body mass: 81.06 ± 15.04 kg; Hang Clean 1RM 70.17 ± 14.41 kg) performed three repetitions of the hang power clean at 10% intervals ranging from 30-90% of their one-repetition maximum (1RM). One-way repeated measures ANONAs revealed that external load had a significant effect on the peak and average of all variables examined (p < 0.05). Most notably, peak power was maximized at 70% 1RM which was not significantly different 60-90% 1RM. Peak rate of force development was maximized at 90% 1RM, though it was not significantly greater than 50-90%1RM. Conversely peak barbell velocity was maximized at 30% 1RM which was significantly greater than 50-90% 1RM. While the results for power are similar to that of older, stronger athletes, the youth population in this study maximized barbell velocity and rate of force development at different external loads compared to more developed athletes. These results seem to suggest that youth athletes need to achieve a higher level of strength before they are capable of training with high relative external loads while maintaining high barbell velocities.
Intrahousehold Inequality and the Joint Taxation of Household Earnings

We study the optimal design of nonlinear labor income tax for multiperson households. Each household consists of two workers with different productivity levels and unequal access to the family’s economic resources. We show how intrahousehold inequality, together with individual-oriented utilitarianism, generally leads to a misalignment between the household’s and government’s objectives, a state known as dissonance. We handle the multidimensionality that plagues the Mirrlees model by restricting preferences to be identical and iso-elastic and by focusing on taxes characterized by incomesplitting. This approach allows us to provide a complete solution for the screening problem, incorporate different degrees of assortative matching, and assess the role of dissonance in shaping the optimal tax schedule. We also investigate the welfare gains from gender-based policies.
Hormesis and Endothelial Progenitor Cells

Hormetic-biphasic dose response relationships are reported herein for human endothelial progenitor cells involving estradiol, nicotine, the anti-diabetic agent pioglitazone, resveratrol, and progesterone. In general, these studies demonstrate the capacity of these agents to enhance EPC proliferation and angiogenesis functional applications, having a focus on repairing endothelial tissue damage due to acute injury (e.g., stroke), as well as damage from chronic conditions (e.g., atherosclerosis) and normal aging processes.
Visualizing the scientific panorama of coral black band disease research: a bibliometric analysis

Black band disease (BBD) is a relevant coral disease with wide global distribution. A remarkable number of studies exist regarding the etiological, microbiological, and ecological characteristics and extent of this widely studied disease. This bibliometric study comprehends the global literature published on BBD and aims to assess the research activities and trends on BBD using the Bibliometrix R-package. Authors, countries, institutions, core journals, thematic maps, and historic direct citation networks are analyzed. Assessment of author productivity summarizes that the majority of the scientific literature emanated from a smaller group of researchers, with 70% of authors contributing only single articles. The prominent collaboration in global BBD research is a trio between the USA, UK, and Australia. This indicates that research requires more focus and fostering in many developing countries, and this needs further active research collaborations with the developing countries. Co-occurrence networks and Co-citation networks outlined the most strongly related words, authors, papers, and sources. Thematic map reveals BBD research revolves around the basic themes such as “disease prevalence”, but currently, interest has been shifted towards specialized themes like “microbial community”. The focus of the majority of the researchers was on the abundance, prevalence, and spatio-temporal dynamics of BBD. Molecular and genetic level studies of the microbial communities that involve metagenomics approaches are ongoing and active. The specialized or niche themes such as microbial consortium, the shift in the microbiome, and the presence of quorum sensing inhibitors in this consortium are acquiring much interest. Analysis of BBD publications indicates that treatment methods, resistance, and coral immunity against BBD were some of the under-looked areas in the research. This bibliometric report provides a nutshell of the status of global BBD research that can act as a reference for and guidance to the coral scientists, research funders, and policymakers to tackle BBD.
Applying Spring Security Framework with KeyCloak-Based OAuth2 to Protect Microservice Architecture APIs: A Case Study

In this study, we implemented an integrated security solution with Spring Security and Keycloak open-access platform (SSK) to secure data collection and exchange over microservice architecture application programming interfaces (APIs). The adopted solution implemented the following security features: open authorization, multi-factor authentication, identity brokering, and user management to safeguard microservice APIs. Then, we extended the security solution with a virtual private network (VPN), Blowfish and crypt (Bcrypt) hash, encryption method, API key, network firewall, and secure socket layer (SSL) to build up a digital infrastructure. To accomplish and describe the adopted SSK solution, we utilized a web engineering security method. As a case study, we designed and developed an electronic health coaching (eCoach) prototype system and hosted the system in the expanded digital secure infrastructure to collect and exchange personal health data over microservice APIs. We further described our adopted security solution’s procedural, technical, and practical considerations. We validated our SSK solution implementation by theoretical evaluation and experimental testing. We have compared the test outcomes with related studies qualitatively to determine the efficacy of the hybrid security solution in digital infrastructure. The SSK implementation and configuration in the eCoach prototype system has effectively secured its microservice APIs from an attack in all the considered scenarios with 100% accuracy. The developed digital infrastructure with SSK solution efficiently sustained a load of (≈)300 concurrent users. In addition, we have performed a qualitative comparison among the following security solutions: Spring-based security, Keycloak-based security, and their combination (our utilized hybrid security solution), where SSK showed a promising outcome.
Wettability Improvement in Oil–Water Separation by Nano-Pillar ZnO Texturing

The nanostructure-based surface texturing can be used to improve the materials wettability. Regarding oil–water separation, designing a surface with special wettability is as an important approach to improve the separation efficiency. Herein, a ZnO nanostructure was prepared by a two-step process for sol–gel process and crystal growth from the liquid phase to achieve both a superhydrophobicity in oil and a superoleophobic property in water. It is found that the filter material with nanostructures presented an excellent wettability. ZnO-coated stainless-steel metal fiber felt had a static underwater oil contact angle of 151.4° ± 0.8° and an underoil water contact angle of 152.7° ± 0.6°. Furthermore, to achieve water/oil separation, the emulsified impurities in both water-in-oil and oil-in-water emulsion were effectively intercepted. Our filter materials with a small pore (~5 μm diameter) could separate diverse water-in-oil and oil-in-water emulsions with a high efficiency (>98%). Finally, the efficacy of filtering quantity on separation performance was also investigated. Our preliminary results showed that the filtration flux decreased with the collection of emulsified impurities. However, the filtration flux could restore after cleaning and drying, suggesting the recyclable nature of our method. Our nanostructured filter material is a promising candidate for both water-in-oil and oil-in-water separation in industry.
Concept Mapping Strategy through Hybrid Flexible Course: Its Significance toward Student Achievement

The pandemic era pushed teachers to switch their teaching methods into online learning. The concept mapping strategy was one of the most effective teaching strategies for teaching English in face-o face mode . Is the concept mapping strategy still effective in online learning mode? This study utilized a quantitative approach to compare the use of concept mapping strategy and conventional strategy. Both classes did the instruction through hybrid flexible course. To obtain the data, test and observation were used. ANCOVA was performed to analyze the data to get the specific data concern to the effect of the strategy to the student grade. The findings showed that in the hybrid flexible course, concept mapping strategy did not impact the students’ achievement, but from the observation, it did impact the students’ motivation and activity during the instruction. It can be concluded that there is no significant difference of using concept mapping strategy and conventional strategy through hybrid flexible course
Performance of mMIMO FD Relay Networks With Limited Relay State Knowledge

Massive MIMO (mMIMO) is a key technology for improving propagation conditions and extending geographical coverage of wireless communications. We here address a mMIMO full-duplex relay network for machine-type-communications where channel state information availability at the transmitter is impractical. In this scenario, we argue that high end-to-end data rates can be achieved even if no precoding is performed at the transmitting nodes. We first formulate an optimization problem aiming at maximizing the achievable rate, considering the source transmit power to depend on the transmit power distribution at the relay node. We then solve this problem by letting the number of antennas grow large, and derive closed-form expressions for the transmit power at the source and relay, as well as for the system data rate. Our results, show that the rate obtained when no precoding is implemented at the relay, or at any of the transmitters, closely matches that of SVD precoding under the optimum receiver, and still achieves very high values in the case of the ZF and the MMSE receiver.
Architectural optimization for performance- and energy -constrained sensor processors

Sensor processors and their applications are a growing area of focus in computer system research and design. Inherent to this design space is a reduced processing performance requirement. In addition, extremely high energy constraints are necessary such that sensor processors must execute low-performance tasks for long durations on small energy supplies. In this study, we demonstrate that subthreshold-voltage circuit design (400mV and below) lends itself well to the performance and energy demands of sensor processors. Moreover, we show that the landscape for microarchitectural energy optimization dramatically changes in the subthreshold domain. The dominance of leakage power in the subthreshold regime demands architectures that (i) reduce overall area and (ii) increase the utility of transistors while (iii) maintaining acceptable CPI efficiency. Moreover, we learn that memory comprises the single largest contributor to leakage energy, which makes high code density an essential requirement for sensor processor architectures. We confirm these observations by performing SPICE-level analysis of several sensor processor architectures. We further substantiate our concepts regarding subthreshold-voltage design by the fabrication and testing of a prototype chip. Based on the lessons learned form design space exploration, we propose an extremely energy-efficient sensor processor architecture by focusing on ISA, memory system design, and microarchitectural optimizations that reduce overall design size and improve energy-per-instruction. This design employs an ultra-compact 12-bit wide RISC instruction set architecture, which enables high code density via micro-operations and flexible operand modes. The design also features a unique memory architecture with a prefetch buffer and pre-decoded address bits, which permit both faster access to the memory and smaller instructions due to fewer address bits. It is capable of running at 142 kHz while consuming only 6000fJ/instruction, allowing the design to run continuously for 41 years on the energy stored in a 1g lithium-ion battery. Furthermore, in order to more accurately evaluate sensor processors, we introduce real-time, stream-oriented benchmark applications based on the common activities of sensor processors. Finally, we propose the use of three new evaluation metrics which capture the significant characteristics of a sensor processor: EPB (Energy Per Bundle), xRT (times Real-Time), and CFP (Composition Footprint).
Are Transcription Factors Plausible Oncotargets for Triple Negative Breast Cancers?

Simple Summary Triple negative breast cancer is a type of breast cancer that does not have a selective and effective therapy. It is known that this cancer possesses high abundance of certain proteins called transcription factors, which are essential for their growth. However, inhibiting transcription factors is very difficult with common therapeutics due to their inaccessibility inside the cell and their molecular structure. In this work, we identified the most important transcription factors for the growth of triple negative breast cancers, and that can predict worse clinical outcome. Moreover, we described different strategies that have been utilised to inhibit them. A successful inhibition of these transcription factors could reduce the mortality and convalescence associated with triple negative breast cancers. Abstract Breast cancer (BC) is the most diagnosed cancer worldwide and one of the main causes of cancer deaths. BC is a heterogeneous disease composed of different BC intrinsic subtypes such as triple-negative BC (TNBC), which is one of the most aggressive subtypes and which lacks a targeted therapy. Recent comprehensive analyses across cell types and cancer types have outlined a vast network of protein–protein associations between transcription factors (TFs). Not surprisingly, protein–protein networks central to oncogenesis and disease progression are highly altered during TNBC pathogenesis and are responsible for the activation of oncogenic programs, such as uncontrollable proliferation, epithelial-to-mesenchymal transition (EMT) and stemness. From the therapeutic viewpoint, inhibiting the interactions between TFs represents a very significant challenge, as the contact surfaces of TFs are relatively large and featureless. However, promising tools have emerged to offer a solution to the targeting problem. At the clinical level, some TF possess diagnostic and prognostic value in TNBC. In this review, we outline the recent advances in TFs relevant to TNBC growth and progression. Moreover, we highlight different targeting approaches to inhibit these TFs. Furthermore, the validity of such TFs as clinical biomarkers has been explored. Finally, we discuss how research is likely to evolve in the field.