Miracle-dz/UniFAR-FTUs huggingface dataset:
The Features of Checkpoint Receptor—Ligand Interaction in Cancer and the Therapeutic Effectiveness of Their Inhibition

To date, certain problems have been identified in cancer immunotherapy using the inhibition of immune checkpoints (ICs). Despite the excellent effect of cancer therapy in some cases when blocking the PD-L1 (programmed death-ligand 1) ligand and the immune cell receptors PD-1 (programmed cell death protein 1) and CTLA4 (cytotoxic T-lymphocyte-associated protein 4) with antibodies, the proportion of patients responding to such therapy is still far from desirable. This situation has stimulated the exploration of additional receptors and ligands as targets for immunotherapy. In our article, based on the analysis of the available data, the TIM-3 (T-cell immunoglobulin and mucin domain-3), LAG-3 (lymphocyte-activation gene 3), TIGIT (T-cell immunoreceptor with Ig and immunoreceptor tyrosine-based inhibitory motif (ITIM) domains), VISTA (V-domain Ig suppressor of T-cell activation), and BTLA (B- and T-lymphocyte attenuator) receptors and their ligands are comprehensively considered. Data on the relationship between receptor expression and the clinical characteristics of tumors are presented and are analyzed together with the results of preclinical and clinical studies on the therapeutic efficacy of their blocking. Such a comprehensive analysis makes it possible to assess the prospects of receptors of this series as targets for anticancer therapy. The expression of the LAG-3 receptor shows the most unambiguous relationship with the clinical characteristics of cancer. Its inhibition is the most effective of the analyzed series in terms of the antitumor response. The expression of TIGIT and BTLA correlates well with clinical characteristics and demonstrates antitumor efficacy in preclinical and clinical studies, which indicates their high promise as targets for anticancer therapy. At the same time, the relationship of VISTA and TIM-3 expression with the clinical characteristics of the tumor is contradictory, and the results on the antitumor effectiveness of their inhibition are inconsistent.
Munition penetration-depth prediction : SERDP SEED Project MR-2629

Existing models for predicting the penetration depth of munitions and explosives of concern are inaccurate and insufficient from a user (range manager, U.S. Army Corps of Engineers project manager, or environmental consultant) operability perspective for current needs. We attribute poor model performance to (1) a heavy dependence on empirically derived parameterizations poorly linked to the physical properties of the target material or (2) physics-based models that inadequately capture the salient mechanical processes, especially in the first meter of penetration. Consequently, we have developed a micromechanical-based model using a hybrid discrete element model (DEM) / finite element model (FEM) approach capable of a detailed treatment of near-surface soil properties. To examine the effects of varying levels of moisture on the dynamic behavior of a soil, we fabricated a small-scale triaxial shear test to inform the development and calibration of the DEM contact model. We conducted projectile-drop tests into sand with a scale version of a 57 mm projectile and measured projectile penetration to compare with model results. DISCLAIMER: The contents of this report are not to be used for advertising, publication, or promotional purposes. Citation of trade names does not constitute an official endorsement or approval of the use of such commercial products. All product names and trademarks cited are the property of their respective owners. The findings of this report are not to be construed as an official Department of the Army position unless so designated by other authorized documents. DESTROY THIS REPORT WHEN NO LONGER NEEDED. DO NOT RETURN IT TO THE ORIGINATOR. ERDC/CRREL TR-17-12 iii
Electromagnetic Characteristics of a Flux-Modulated Permanent Magnet Linear Machine With Sandwich Armature for Free-Piston Energy Converter System

The linear machine is the key part of free-piston energy converter system, and its electromagnetic characteristics directly determine system performance. This paper proposes a novel flux-modulated permanent magnet (PM) linear machine with sandwich armature for free-piston energy converter system. The sandwich armature is composed of modulated layer, air-core winding layer and iron core. It integrates electromagnetic advantages of a flux-modulated and slotless machine, so it can achieve good comprehensive performance by appropriate design of sandwich armature. Firstly, an accurate subdomain model is established to analyze magnetic field characteristics of proposed machine, and then the suitable pole/slot combinations are determined. Subsequently, machine performance such as thrust force and efficiency are discussed based on design dimensional constraints. Finally, structural optimization of cylinder armature is developed for eddy-current loss suppression, and then experiments on prototype are carried out. The performance comparisons with flux-modulated and slotless machines show that the proposed prototype has high peak thrust, small electromechanical time constant, and strong design flexibility. Hence it is a preferred solution for free-piston energy converter system.
THE SPOC+ PLATFORM: EVALUATION AND PERSPECTIVES

Mobile artifacts are the objects that increasingly surround us in life. They provide us with the opportunity to engage in activities outside the traditional context and at our own pace. In this article, we present the results of the tests of our mobile application intended for the learning of the French language with the concept of SPOC with a methodology of teaching pedagogy by project founded based on MIRTO by using the NLP tools.
Student Dataset from Tecnologico de Monterrey in Mexico to Predict Dropout in Higher Education

High dropout rates and delayed completion in higher education are associated with considerable personal and social costs. In Latin America, 50% of students drop out, and only 50% of the remaining ones graduate on time. Therefore, there is an urgent need to identify students at risk and understand the main factors of dropping out. Together with the emergence of efficient computational methods, the rich data accumulated in educational administrative systems have opened novel approaches to promote student persistence. In order to support research related to preventing student dropout, a dataset has been gathered and curated from Tecnologico de Monterrey students, consisting of 50 variables and 143,326 records. The dataset contains non-identifiable information of 121,584 High School and Undergraduate students belonging to the seven admission cohorts from August–December 2014 to 2020, covering two educational models. The variables included in this dataset consider factors mentioned in the literature, such as sociodemographic and academic information related to the student, as well as institution-specific variables, such as student life. This dataset provides researchers with the opportunity to test different types of models for dropout prediction, so as to inform timely interventions to support at-risk students.
Marine Bioactive Compounds Derived from Macroalgae as New Potential Players in Drug Delivery Systems: A Review

The marine algal ecosystem is characterized by a rich ecological biodiversity and can be considered as an unexploited resource for the discovery and isolation of novel bioactive compounds. In recent years, marine macroalgae have begun to be explored for their valuable composition in bioactive compounds and opportunity to obtain different nutraceuticals. In comparison with their terrestrial counterparts, Black Sea macroalgae are potentially good sources of bioactive compounds with specific and unique biological activities, insufficiently used. Macroalgae present in different marine environments contain several biologically active metabolites, including polysaccharides, oligosaccharides, polyunsaturated fatty acids, sterols, proteins polyphenols, carotenoids, vitamins, and minerals. As a result, they have received huge interest given their promising potentialities in supporting antitumoral, antimicrobial, anti-inflammatory, immunomodulatory, antiangiogenic, antidiabetic, and neuroprotective properties. An additional advantage of ulvans, fucoidans and carrageenans is the biocompatibility and limited or no toxicity. This therapeutic potential is a great natural treasure to be exploited for the development of novel drug delivery systems in both preventive and therapeutic approaches. This overview aims to provide an insight into current knowledge focused on specific bioactive compounds, which represent each class of macroalgae e.g., ulvans, fucoidans and carrageenans, respectively, as valuable potential players in the development of innovative drug delivery systems.
CITIZEN IDENTIFICATION: CONCEPTS, PRINCIPLES AND OPINIONS - THE CASE OF MOZAMBIQUE

Citizen identification system in a digital economy context is fundamental for the citizen but also for the State in its role as a public service provider. Even for the legal system, since justice cannot be enforced in the absence of accurate identification of the players, under the risk of punishing the innocent and glorifying the criminals. Therefore, indubitable identity is also a social justice element (Hoover, 1972). A variety of identification methods have been developed, throughout the years, to ensure indubitable identity. The use of biometrics has been effective and, with technological development, many innovative technologies have been used, such as smart cards that allow the portability of biometric information as part of Citizen Identification. The Mozambican citizen identification system (ID System) is evolving. In the context of several strategic reforms of the public sector in Mozambique, particularly e-governance, many initiatives were carried out to enhance the identification system. However, there are still challenges concerning interoperability, process alignment and the boosting of Information and Communication Technologies (ICT) potential. At the end of this paper, conclusions and recommendations focused on the rationalization, process alignment and enhancement of the ID System are presented, through the development of an Institutional and Logic Model of the Mozambican citizen Identification system, to ensure that the Information System concept (processes, people, and technology) is rationalized, according to the work systems theory (Alter, 2013).
Iron supplementation inhibits hypoxia-induced mitochondrial damage and protects zebrafish liver cells from death

Acute hypoxia in water has always been a thorny problem in aquaculture. Oxygen and iron play important roles and are interdependent in fish. Iron is essential for oxygen transport and its concentration tightly controlled to maintain the cellular redox homeostasis. However, it is still unclear the role and mechanism of iron in hypoxic stress of fish. In this study, we investigated the role of iron in hypoxic responses of two zebrafish-derived cell lines. We found hypoxia exposed zebrafish liver cells (ZFL) demonstrated reduced expression of Ferritin and the gene fth31 for mitochondrial iron storage, corresponding to reduction of both intracellular and mitochondrial free iron and significant decrease of ROS levels in multiple cellular components, including mitochondrial ROS and lipid peroxidation level. In parallel, the mitochondrial integrity was severely damaged. Addition of exogenous iron restored the iron and ROS levels in cellular and mitochondria, reduced mitochondrial damage through enhancing mitophagy leading to higher cell viability, while treated the cells with iron chelator (DFO) or ferroptosis inhibitor (Fer-1) showed no improvements of the cellular conditions. In contrast, in hypoxia insensitive zebrafish embryonic fibroblasts cells (ZF4), the expression of genes related to iron metabolism showed opposite trends of change and higher mitochondrial ROS level compared with the ZFL cells. These results suggest that iron homeostasis is important for zebrafish cells to maintain mitochondrial integrity in hypoxic stress, which is cell type dependent. Our study enriched the hypoxia regulation mechanism of fish, which helped to reduce the hypoxia loss in fish farming.
REDUCING FOOD WASTE WITH VIRTUAL REALITY (VR) TRAINING - A PROTOTYPE AND A/B-TEST IN AN ONLINE EXPERIMENT

Food waste is an important issue in the global warming debate. In this study, a virtual reality (VR) application was built from the insights and requirements of a focus group. The VR prototype was then validated using A/B-testing in an online experiment due to COVID-19 restrictions. VR is considered suitable for transferring information and building awareness regarding the topic of food waste. However, it is necessary to maintain the right balance between an informative and a serious gaming application. VR scenarios that people enjoy using have positive learning effects. Furthermore, scenarios that feature gamification elements are rated more highly regarding intention to use, which, in turn, benefits learning. © 2022 IADIS Press. All rights reserved.
Rancang Bangun Model Machine Learning untuk Mendeteksi Malicious Webpage dengan Metode Wang, et al. (2017)

Penggunaan internet dengan mengakses suatu web kerap kali dilakukan untuk berbagai kepentingan. Akibatnya terdapat pihak tertentu yang memanfaatkannya untuk mendapatkan keuntungan. Keuntungan tersebut dilakukan dengan melakukan tindak kejahatan berupa penyisipan konten berbahaya pada suatu halaman web sehingga halaman tersebut dapat dikatakan sebagai malicious webpage. Machine learning yang saat ini sedang menjadi trend dapat digunakan untuk menanggulangi hal tersebut. Machine learning dapat digunakan sebagai cara untuk mendeteksi malicious webpage dengan melakukan klasifikasi terhadap suatu web berdasarkan ciri berupa fitur yang dimiliki dari halaman web. Performa terbaik dari machine learning dalam mendeteksi malicious webpage sangat diperlukan. Pada penelitian ini akan dilakukan rancang bangun model machine learning menggunakan metode Wang, et al. (2017) untuk mendeteksi malicious webpage. Hasil penelitian menunjukkan rancang bangun model machine learning terdiri dari tahapan mempersiapkan lingkungan, pembuatan dataset, dan training dan testing dataset menggunakan algoritme decision tree. Model machine learning memiliki performa berupa akurasi, precision, dan f-measure yang dihasilkan adalah 0.921, 0.925, dan 0.914. Penggunaan algoritme decision tree memberikan performa terbaik dibandingkan dengan menggunakan algoritme lain seperti naïve bayes dan support vector machine (SVM). Performa berupa akurasi, precision, dan f-measure yang dihasilkan dari algoritme naïve bayes adalah 0.738, 0.645, dan 0.773. Performa berupa akurasi, precision, dan f-measure yang dihasilkan dari algoritme SVM adalah 0.802, 0.738, dan 0.807.
Artmaking Resilience: Reflections on Art-Based Research of Bereavement and Grief

This article presents some of the elements of artmaking as sources of resilience within the process of bereavement and grief. It builds upon findings from an art-based research project conducted during the period of coronavirus disease 2019 pandemic that explored properties of resilience in the face of sickness and death, which suggests three active elements to resilience: the capacity to observe pain, possession of faith, and the support circle. The article ties these findings, with other artistic projects in which artmaking responded to and alleviated sorrow and loss.
Treatment of Recurrent Nasopharyngeal Carcinoma: A Sequential Challenge

Simple Summary Recurrent nasopharyngeal carcinoma is one of the major causes of death among NPC patients. However, there are no international guidelines for the treatment of patients with recurrent NPC now. In this article, we summarize past publications on clinical research and mechanistic studies related to recurrent NPC, combined with the experience and lessons learned by our institutional multidisciplinary team in the treatment of recurrent NPC. We propose an objective protocol for the treatment of recurrent NPC. Abstract Recurrent nasopharyngeal carcinoma (NPC), which occurs in 10–20% of patients with primary NPC after the initial treatment modality of intensity-modulated radiation therapy (IMRT), is one of the major causes of death among NPC patients. Patients with recurrent disease without distant metastases still have a chance to be saved, but re-treatment often carries more serious toxicities or higher risks. For this group of patients, both otolaryngologists and oncologists are committed to developing more appropriate treatment regimens that can prolong patient survival and improve survival therapy. Currently, there are no international guidelines for the treatment of patients with recurrent NPC. In this article, we summarize past publications on clinical research and mechanistic studies related to recurrent NPC, combined with the experience and lessons learned by our institutional multidisciplinary team in the treatment of recurrent NPC. We propose an objective protocol for the treatment of recurrent NPC.
Robust Intra-Slice Migration in Fog Computing

Low latency is critical to applications such as control of unmanned aerial vehicles. Such latency-sensitive services can be hosted closer to the user at the fog layer which can reduce overall latency through the reduction of transmission time and network congestion. To keep the latency low for mobile users connected to services deployed at the fog, these services need to be constantly migrated to follow the users. Unlike the cloud nodes, fog nodes are less reliable and are therefore subject to higher failure rate. In this paper, we propose an enhancement to the post-copy live migration algorithm to make it robust against failure. Simulation results show that robust migration reduces total migration time between 10-26% and downtime between 2-23% compared to non-robust migration. Furthermore, when the bandwidth to the backup node is lower, robust migration provides further improvement in both metrics.
Evaluation of the Health Impacts of Rolling Back a Port Clean Trucks Program

Air pollution emissions from marine port truck activity can pose significant health risks to communities living near ports. One approach to reducing these risks is requiring the use of low-emission trucks at port facilities. This analysis evaluates the predicted air quality impacts of the recent revision (rollback) of a Clean Truck Program at the Port of New York & New Jersey. We use the best publicly available information to estimate emissions, concentrations, and health risks at a fine spatial scale across eight counties in New Jersey in 2017 and 2018, when the impacts of the revision of the Clean Truck Program will likely be greatest. We find that as a result of the revision of the program, port truck PM2.5 emissions will be higher by seven to eight fold each year, concentrations will increase by up to 1 µg/m3, and the risk of death due to exposure to a year’s emissions will increase by over 25 in a million in some areas. These effects are estimated in 2017 and 2018 but are expected to continue, gradually tapering off, for at least 15 years into the future. The magnitude of estimated effects of the revised program would be greater if this study had included a broader geographic region, a longer period of time, and a wider range of truck pollutants, exposure pathways, and health outcomes.
Effect of Breed on the Fatty Acid Composition of Milk from Dairy Cows Milked Once and Twice a Day in Different Stages of Lactation

The objective of this study was to evaluate the effect of breed on the overall composition and fatty acid composition of milk from cows milked once a day (OAD) and twice a day (TAD) in different stages of lactation. Milk samples were taken from 39 Holstein-Friesian (F), 27 Jersey (J), and 34 Holstein-Friesian × Jersey (F × J) crossbred cows from a OAD milking herd and 104 F and 83 F × J cows from a TAD milking herd in early (49 ± 15 days in milk), mid (129 ± 12 days in milk), and late (229 ± 13 days in milk) lactation. Calibration equations to predict the concentrations of individual fatty acids were developed using mid-infrared (MIR) spectroscopy. There was a significant interaction between breed within the milking frequency and stage of lactation for the production traits and composition traits. Holstein-Friesian cows milked OAD produced milk with lower concentrations of C18:0 in early and mid lactations compared to F × J and J cows. Holstein-Friesian cows milked TAD produced lower concentrations of C18:0 in early lactation and lower concentrations of C16:0 and C18:0 in late lactation compared to F × J. Lower concentrations of these fatty acids would reduce the hardness of the butter when the milk is processed. In the OAD milking herd, F cows were superior for daily milk yield compared to J cows, but Jersey cows produced significantly (p < 0.05) higher percentages of fat and a higher concentration of C18:0 fatty acid. The relative concentrations of C18:0 and C18 cis-9 in F and J cows milked OAD imply there is no breed effect on the activity of delta-9-desaturase, whereas stages of lactation likely have an effect. These results can be used to assist with selecting breeds and cows that are suitable for either OAD or TAD milking, allowing closer alignment with milk processing needs.
CDK4: a master regulator of the cell cycle and its role in cancer

The cell cycle is regulated in part by cyclins and their associated serine/threonine cyclin-dependent kinases, or CDKs. CDK4, in conjunction with the D-type cyclins, mediates progression through the G1 phase when the cell prepares to initiate DNA synthesis. Although Cdk4-null mutant mice are viable and cell proliferation is not significantly affected in vitro due to compensatory roles played by other CDKs, this gene plays a key role in mammalian development and cancer. This review discusses the role that CDK4 plays in cell cycle control, normal development and tumorigenesis as well as the current status and utility of approved small molecule CDK4/6 inhibitors that are currently being used as cancer therapeutics.
Feelings of Being for Mobile User Experience Design

Abstract Creating emotionally engaging mobile applications requires consideration of constantly evolving technology, content richness, usability, and user experience (UX). UX plays an important role in promoting long-term usage. We focused on the emotional aspects of UX design of mobile applications. In particular, we adopted the concept of feelings of being (FoB) – also known as existential feelings – in the context of mobile UX design. We presented an in-depth literature review covering 112 articles (2005–2021) on human-computer interaction, UX, mobile application development, mobile learning, and emotional engagement. Of these articles, 16 discussed FoB in the context of mobile applications. Building on the results of literature analysis and other previous research, we presented a FoB model for mobile application design comprising 13 FoB (ownership, engagement, contribution, security, trust, adjustability, enjoyment, empowerment, effectiveness, frustration, excitement, gratification, and needs fulfilment) and the hedonic and eudaimonic aspects of UX. Finally, we validated the FoB model through nine design projects, proposed design recommendations based on the model, and presented considerations on extending the model with additional elements.