Miracle-dz/UniFAR-FTUs huggingface dataset:
Hodgkin's Lymphoma: Saudi Lymphoma Group's Clinical Practice Guidelines for Diagnosis, Management and Follow-up

1Adult Hematology and Stem Cell Transplantation Department, King Fahad Specialist Hospital, Dammam, 2Oncology Department, Prince Sultan Military Medical City, 4Department of Oncology, King Abdulaziz Medical City, Ministry of National Guard Health Affairs‐Central Region, 5Department of Adult Hematology and BMT, Comprehensive Cancer Center, King Fahad Medical City, 7Department of Medicine, College of Medicine, King Saud University, 9College of Medicine, Alfaisal University, Riyadh, 6Oncology Institute, John Hopkins Aramco Healthcare, Dhahran, 8Department of Oncology, King Faisal Specialist Hospital and Research Centre, 10College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, 11Adult Medical Oncology, Princess Noorah Oncology Center, King Abdulaziz Medical City, Ministry of National Guard Health Affairs‐Western Region, Jeddah, Saudi Arabia, 3Clinical Oncology Department, Cairo University, Giza, Egypt Clinical Guidelines
Design and implementation of virtual patients for learning of clinical reasoning

Introduction: Virtual Patients (VP) are electronic interactive patient cases. The aim of this PhD project was to explore how to improve the design and implementation of VPs to foster learning of clinical reasoning. Methods: This PhD report is based on five consecutive studies. Using focus groups among clerkship students, we explored design features of VP. A modified Delphi study among VP experts was used to establish a VP design typology. Validity evidence was established for a questionnaire to evaluate VP design from the student perspective. In student focus groups, we explored features on how to implement VP into a clerkship. Further, we explored students’ perception of different exam formats, in an assessment of a clerkship which includes learning with VP, by focus groups, and examined whether their psychometric properties differ. Results: Aspects to improve VP design: using instructional design criteria such as ensuring an appropriate level of difficulty, authenticity, interactivity, feedback, and focusing on relevant learning points, implementing virtual coaching on clinical reasoning into the VP, such as asking for discriminating and confirming features, and providing theory-guided instruments for systematic improvements such as the developed VP typology and VP design questionnaire. Aspects to improve VP implementation: sequencing VP and other educational activities according to complexity, and aligning instruction and assessment with the use of VP. Conclusion: Our results are in line with insights outside of VP research. Our studies demonstrate how VP can be designed, systematically further improved, and implemented to foster learning of clinical reasoning.
Conveying Uncertainties Using Peripheral Awareness Displays in the Context of Automated Driving

As a consequence of insufficient situation awareness and inappropriate trust, operators of highly automated driving systems may be unable to safely perform takeovers following system failures. The communication of system uncertainties has been shown to alleviate these issues by supporting trust calibration. However, the existing approaches rely on information presented in the instrument cluster and therefore require users to regularly shift their attention between road, uncertainty display, and non-driving related tasks. As a result, these displays have the potential to increase workload and the likelihood of missed signals. A driving simulator study was conducted to compare a digital uncertainty display located in the instrument cluster with a peripheral awareness display consisting of a light strip and vibro-tactile seat feedback. The results indicate that the latter display affords users flexibility to direct more attention towards the road prior to critical situations and leads to lower workload scores while improving takeover performance.
Comparison of different approaches to antibiotic restriction in food-producing animals: stratified results from a systematic review and meta-analysis

Background We have previously reported, in a systematic review of 181 studies, that restriction of antibiotic use in food-producing animals is associated with a reduction in antibiotic-resistant bacterial isolates. While informative, that report did not concretely specify whether different types of restriction are associated with differential effectiveness in reducing resistance. We undertook a sub-analysis of the systematic review to address this question. Methods We created a classification scheme of different approaches to antibiotic restriction: (1) complete restriction; (2) single antibiotic-class restriction; (3) single antibiotic restriction; (4) all non-therapeutic use restriction; (5) growth promoter and prophylaxis restriction; (6) growth promoter restriction and (7) other/undetermined. All studies in the original systematic review that were amenable to meta-analysis were included into this substudy and coded by intervention type. Meta-analyses were conducted using random effects models, stratified by intervention type. Results A total of 127 studies were included. The most frequently studied intervention type was complete restriction (n=51), followed by restriction of non-therapeutic (n=33) and growth promoter (n=19) indications. None examined growth promoter and prophylaxis restrictions together. Three and seven studies examined single antibiotic-class and single antibiotic restrictions, respectively; these two intervention types were not significantly associated with reductions in antibiotic resistance. Though complete restrictions were associated with a 15% reduction in antibiotic resistance, less prohibitive approaches also demonstrated reduction in antibiotic resistance of 9%–30%. Conclusion Broad interventions that restrict global antibiotic use appear to be more effective in reducing antibiotic resistance compared with restrictions that narrowly target one specific antibiotic or antibiotic class. Importantly, interventions that allow for therapeutic antibiotic use appear similarly effective compared with those that restrict all uses of antibiotics, suggesting that complete bans are not necessary. These findings directly inform the creation of specific policies to restrict antibiotic use in food-producing animals.
Primary Central Nervous System Lymphoma: Saudi Lymphoma Group's Clinical Practice Guidelines for Diagnosis, Management and Follow-up

Oncology Institute, Johns Hopkins Aramco Healthcare, Dhahran, 1Department of Oncology, King Abdulaziz Medical City, Ministry of National Guard Health Affairs‐Central Region, 5Oncology Department, Prince Sultan Military Medical City, 7Department of Adult Hematology and BMT, Comprehensive Cancer Center, King Fahad Medical City, 8Department of Medicine, College of Medicine, King Saud University, Riyadh, 10College of Medicine, Alfaisal University, 2College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, 3Princess Noorah Oncology Center, King Abdulaziz Medical City, Ministry of National Guard Health Affairs‐Western Region, 9Department of Oncology, King Faisal Specialist Hospital and Research Centre, Jeddah, 4Adult Hematology and Stem Cell Transplantation Department, King Fahad Specialist Hospital, Dammam, Kingdom of Saudi Arabia, 6Department of Clinical Oncology, Cairo University, Giza, Egypt Clinical Guidelines
Mantle Cell Lymphoma: Saudi Lymphoma Group's Clinical Practice Guidelines for Diagnosis, Management and Follow-up

Department of Medicine, College of Medicine, King Saud University, 2Department of Adult Hematology and BMT, Comprehensive Cancer Center, King Fahad Medical City, 4College of Medicine, Alfaisal University, 8Oncology Department, Prince Sultan Military Medical City, 10Department of Oncology, King Abdulaziz Medical City, Ministry of National Guard Health Affairs‐Central Region, Riyadh, 1Oncology Institute, John Hopkins Aramco Healthcare, Dhahran, 3Department of Oncology, King Faisal Specialist Hospital and Research Centre, 5College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, 6Adult Medical Oncology, Princess Noorah Oncology Center, King Abdulaziz Medical City, Ministry of National Guard Health Affairs‐Western Region, Jeddah, 7Adult Hematology and Stem Cell Transplantation Department, King Fahad Specialist Hospital, Dammam, Saudi Arabia, 9Clinical Oncology Department, Cairo University, Giza, Egypt Clinical Guidelines
Lipid Droplets and the Management of Cellular Stress

Lipid droplets are cytosolic fat storage organelles present in most eukaryotic cells. Long regarded merely as inert fat reservoirs, they are now emerging as major regulators of cellular metabolism. They act as hubs that coordinate the pathways of lipid uptake, distribution, storage, and use in the cell. Recent studies have revealed that they are also essential components of the cellular stress response. One of the hallmark characteristics of lipid droplets is their capacity to buffer excess lipids and to finely tune their subsequent release based on specific cellular requirements. This simple feature of lipid droplet biology, buffering and delayed release of lipids, forms the basis for their pleiotropic roles in the cellular stress response. In stressed cells, lipid droplets maintain energy and redox homeostasis and protect against lipotoxicity by sequestering toxic lipids into their neutral lipid core. Their mobility and dynamic interactions with mitochondria enable an efficient delivery of fatty acids for optimal energy production. Lipid droplets are also involved in the maintenance of membrane and organelle homeostasis by regulating membrane composition, preventing lipid peroxidation and removing damaged proteins and lipids. Finally, they also engage in a symbiotic relationship with autophagy and act as reservoirs of bioactive lipids that regulate inflammation and immunity. Thus, lipid droplets are central managers of lipid metabolism that function as safeguards against various types of cellular stress.
Towards a frustration-aware assistant for increased in-vehicle UX: F-RELACS

Frustration has negative effects on user experience (UX) both in manual and automated driving. Therefore, it negatively influences driving performance and system acceptance. To address this, the project F-RELACS (Frustration Real-Time Recognition for an Adaptive In-Car System) aims to demonstrate a frustration-aware assistant called MUsE (My User Experience Improvement System) that is capable of estimating the user's momentary level of frustration and offering tailored support to improve UX. However, up to now little is known about interaction strategies for automotive user interfaces that successfully reduce the user's frustration and improve UX in frustrating driving situations. Here we report the initial results from user focus groups (current status: 2 groups with in total 11 participants) that are conducted to identify suitable interaction strategies to develop a frustration-aware assistant for enhanced in-vehicle UX in a user-centered design process.
Development and implementation of a competency-based module for teaching research methodology to medical undergraduates

CONTEXT: Research experience helps an undergraduate student to understand published works, to learn teamwork, and even to consider research as a career. Few medical institutions have attempted to engage undergraduates in research experience. Competency-based medical education has emerged as a core strategy to educate and assess medical students worldwide. AIMS: This study aims to develop and implement a competency-based research methodology training module for undergraduate students and find out students’ perception about this. SETTINGS AND DESIGN: A cross-sectional study of mixed design was undertaken in the Department of Community Medicine, UCMS, Delhi, India. METHODOLOGY: A competency-based research training module was developed and implemented with 4th semester undergraduate students posted in the department. Students’ feedback about the module was obtained. STATISTICAL ANALYSIS USED: For quantitative variables, means, ranges, medians, and percentages were calculated. To find out students’ perception about the posting a qualitative analysis was done. RESULTS: The module was implemented with 25 students posted in the department in May 2017. However, feedback was obtained from 23 students. About 83% of the students reported as highly satisfied with the posting, 61% of the students mentioned that after completion of this posting, they felt motivated to do further research. A qualitative analysis of the feedback showed that students found the project helped them to enhance their knowledge and develop skills. CONCLUSIONS: Competency-based research methodology training can serve as a tool for teaching research methodology to undergraduate students.
Discovery of topological Weyl fermion lines and drumhead surface states in a room temperature magnet

Magnetic Weyl semimetals Weyl semimetals (WSMs)—materials that host exotic quasiparticles called Weyl fermions—must break either spatial inversion or time-reversal symmetry. A number of WSMs that break inversion symmetry have been identified, but showing unambiguously that a material is a time-reversal-breaking WSM is tricky. Three groups now provide spectroscopic evidence for this latter state in magnetic materials (see the Perspective by da Silva Neto). Belopolski et al. probed the material Co2MnGa using angle-resolved photoemission spectroscopy, revealing exotic drumhead surface states. Using the same technique, Liu et al. studied the material Co3Sn2S2, which was complemented by the scanning tunneling spectroscopy measurements of Morali et al. These magnetic WSM states provide an ideal setting for exotic transport effects. Science, this issue p. 1278, p. 1282, p. 1286; see also p. 1248 Photoemission and scanning tunneling spectroscopies provide direct evidence for the existence of magnetic Weyl semimetals. Topological matter is known to exhibit unconventional surface states and anomalous transport owing to unusual bulk electronic topology. In this study, we use photoemission spectroscopy and quantum transport to elucidate the topology of the room temperature magnet Co2MnGa. We observe sharp bulk Weyl fermion line dispersions indicative of nontrivial topological invariants present in the magnetic phase. On the surface of the magnet, we observe electronic wave functions that take the form of drumheads, enabling us to directly visualize the crucial components of the bulk-boundary topological correspondence. By considering the Berry curvature field associated with the observed topological Weyl fermion lines, we quantitatively account for the giant anomalous Hall response observed in this magnet. Our experimental results suggest a rich interplay of strongly interacting electrons and topology in quantum matter.
3-D Printed Slotted Spherical Resonator Bandpass Filters With Spurious Suppression

In this paper, a third-order waveguide bandpass filter (BPF) based on slotted spherical resonators with a wide spurious-free stopband is presented. The resonator consists of a spherical cavity with slots opened at the top and bottom. Compared with a non-slotted spherical resonator, the slotted resonator suppresses the two spurious modes (TM211 and TE101) whilst maintaining the fundamental TM101 mode. The unloaded quality factor of the TM101 mode is not significantly degraded. This is achieved by interrupting surface current and radiating the unwanted spurious modes with the slots. The BPF is designed at a center frequency of 10 GHz with a fractional bandwidth of 1%. Two filter prototypes are fabricated, one using metal-based selective laser melting (SLM) and the other by polymer-based stereolithography apparatus (SLA) techniques. The slots also facilitate the copper electroplating process for the SLA-printed filter. The measured results show that the average passband insertion losses of the SLM- and SLA-printed filters are 0.33 and 0.2 dB, respectively. The corresponding passband return losses are better than 22 and 20 dB. The filters demonstrate excellent passband performance and wide spurious-free stopbands up to 16 GHz with stopband rejections of over 20 dB.
Adjustment of Radiation Pattern of Street Luminaire

This article deals with the analyze of the radiation pattern of the street luminaire Boos Naica and suggests its modifications by turning the LEDs and reflecting surfaces. The goal is to create a more uniform optical power distribution. The street luminaires can provide two functions at the same time, illumination and communication. It is important for communication purposes that the received optical power does not drop below 3dB. The aim of the adjustments was to extend and more uniform the radiation pattern of the real street luminaire and thus widen the distance between the luminaires resulting in saving money.
Design of A High Input Impedance OPA with Bi-JFET Technology

A high input impedance operational amplifier (OPA) with bipolar junction field effect transistor (Bi-JFET) technology is presented. By using JFET differential pair, it achieves very low input bias offset current (pA magnitude) and low noise (3 nV/sqrt(Hz)). Moreover, bipolar gain stage and output stage provides high open-loop gain (120 dB), high output voltage slew rate (more than 10 V/μs) and broadband performance (more than 10 MHz). The proposed OPA is very suitable for detecting and amplifying all kinds of weak signals.
The Role of Datasets when Building Next Generation Intrusion Detection Systems

The article describes the shortcomings of the modern datasets used in the development of next-generation intrusion detection systems and proposed new requirements for datasets. Based on the requirements, new software architecture has been proposed, which allows to model modern computer attacks and at the same time "mark up" logs generated on hosts and by network traffic. Using the proposed software architecture, it is possible to create datasets that will contain tagged instances with features both from host logs and from network traffic. This will allow using collected dataset when building next-generation intrusion detection systems (IDS).
Pyrene-Based Iminopyridine Ligand and its Metal Complexes for Nonlinear Optical Performance

The pyrene-based iminopyridine molecules which are known by their emissive properties are among the molecules characterized by their highest nonlinear optical properties. In this paper we will report on the nonlinear optical properties of the pyrene-based iminopyridine ligand and its metal complexes. For this scope, the Maker fringe technique was investigated. The third harmonic generation (THG) measurements in produced guest-host polymeric films are performed and the corresponding high third order susceptibilities are obtained. The influence of the position of metal complexation on NLO response was investigated.
Overlapping Community Detection Algorithm Based on Edge Strength

Communities represent an ubiquitous topological characteristic of complex networks, and discovering community structures is of fundamental importance. Conductance is a detection algorithm for weighted overlapping communities with high-accuracy division results; however, the relationship between the nodes and their neighbors is not considered in the selection of the initial community, which leads to unreasonable initial community selection and lower accuracy in discovering the real community structure of the network. In addition, the algorithm may miss nodes. Accordingly, the edge strength conductance algorithm (ESCA) is proposed, which resolves the issues of unreasonable initial community selection and missing nodes by using the concepts of edge strength and belonging degree. Experiments demonstrate that for both unweighted and weighted networks, ESCA does not miss nodes, and the detected communities are closer to the real network community structure compared with those obtained by Conductance and COPRA, the community overlap propagation algorithm.
Shared-Value Creation in B2B Framework: the Case of International Core Business Technologies

The thesis underlying this article is that B2B providers of international core business technologies should embrace Shared-Value Creation (SVC) or Customer Value-Based (CVB) pricing approaches. Such approaches are aimed at establishing long-term collaborating relations between the supplier and the buyer by incorporating operational, strategic, social, and symbolic value into their offerings and in their negotiation. In the context of B2B providers of international core business technologies framework, these value based pricing approaches are superior to other pricing approaches, places greater emphasis on understanding the source of value (created by the end customer) and its distribution along the value-chain.
Recursive-CPLS-Based Quality-Relevant and Process-Relevant Fault Monitoring With Application to the Tennessee Eastman Process

In industrial processes, the quality of the product is crucial. The batch partial least squares (PLS) monitoring model can effectively monitor for quality-related faults. In process monitoring, to overcome time-varying disturbances, the monitoring model needs to be updated regularly. Efficiently updating the monitoring model represents a serious problem. This paper proposes a recursive concurrent projection to latent structures (RCPLS) algorithm, which can both update models more efficiently with historical model parameters and new data and provide better quality-related fault monitoring results than can static concurrent projection to latent structures (CPLS). Based on RCPLS, a complete set of process monitoring technologies is proposed. These technologies can automatically filter and store modellable data and adaptively update the online monitoring model. The updated computational quantities of the RCPLS model and the CPLS model are compared through the Tennessee Eastman process (TEP). The effectiveness of the RCPLS algorithm is verified, and a comprehensive comparison of the quality-related fault detection capabilities of RCPLS and CPLS is performed. The results show that RCPLS can significantly reduce the computational burden and increase the monitoring performance.
Analysis of the Rigidity of Elastic Suspensions and Membranes of Electromechanical Transducers

The article is devoted to the analysis of the stiffness of sensitive elements, including in the composition of the cantilever beam and the membrane of micromechanical devices, in particular micromechanical accelerometers and micro gyros with inertial mass, as well as micro pressure sensors. Various loading schemes of beam elastic elements and formulas of their rigidity are considered, and also the analysis of the rigidity of natural frequencies is carried out for square clamped along the contour. Mathematical models are given.
CMAC-Adaptive Force-Position Control of a Flexible-Joint Robot

Although many hybrid force-position controllers appear in the literature, the problem of touching and leaving a surface rarely gets addressed - many leave this as a practical matter for the engineers. If the force control results in inappropriate signals in free space then the designer must try to switch controllers at the surface, a solution that can introduce unwanted vibrations; note that stability problems can easily result with such a design in light of imperfect knowledge/measurement of where the surface actually lies and the reality of (possibly unmodelled) joint elasticity. In this work we propose an adaptive backstepping approach that guarantees Lyapunov stability when in contact with the surface and in free-space i.e. without switching, for both non-redundant and redundant manipulators. We develop the controls for a flexible-joint robot in order to demonstrate the guarantee of stability and the ability to avoid excessive vibrations even in the case of elasticity. The proposed controls use neural networks to estimate nonlinear terms and unmodelled dynamics. Simulations show the proposed method significantly outperforms a proportional-derivative hybrid force-position control.