Miracle-dz/UniFAR-FTUs huggingface dataset:
Students' perceptions of clinical teaching.

Evaluation of faculty, especially by students, has become an important issue given the emphasis today on student consumer rights and tight university budgets. As Thomas Brothen (1979) pointed out at a recent conference on Improving University Teaching, "Educational institutions must attract and hold students and be prepared to demonstrate they are serving students' needs" (p. 408). Because educators want to know that they are meeting students' needs, numerous standardized rating forms that allow students to evaluate their instructors have been developed. These are widely used to document teaching effectiveness for academic advancement, administrative decisions, and self-improvement (Aleamoni, 1973; Irby & Rakestraw, 1981; Seldin, 1980). These classroom rating scales are generally considered valid and reliable indicators of teaching effectiveness (Thorne, 1980). Evaluation of the nursing teacher is especially complicated. Classroom rating scales are not sufficient because of the additional component of clinical instruction. As Jacobsen (1966) points out, "In the clinical situation the relationship of student to teacher is a significant one. The learning situation is often one that cannot be repeated, and the clinical learning milieu is not usually controlled specifically for the teaching of the nursing student only" (p. 218).
Neurosarcoidosis Mimicking the Recurrence of Malignant Lymphoma

A 67-year-old woman with a recurrent history of malignant lymphoma (ML) presented with muscle weakness and paresthesia of the fingertips and feet. Due to the elevated level of serum soluble interleukin-2 receptor and increased 18F-fluorodeoxyglucose uptake in a mediastinal lymph node, neurolymphomatosis was initially suspected. Neurological and electrophysiological examinations were consistent with mononeuropathy multiplex. A diagnosis of neurosarcoidosis was made based on the presence of noncaseating epithelioid granulomas in the mediastinal lymph node, along with the presence of the uveitis, cardiac inflammation, and mononeuropathy multiplex. She was treated with glucocorticoids and azathioprine, and her symptoms disappeared. Sarcoidosis following ML is rare, and since biopsy of nervous systems is often improbable, differentiating neurosarcoidosis and neurolymphomatosis can be difficult as their clinical symptoms can be similar. Clinicians should consider systemic pathological investigations based on 18F-fluorodeoxyglucose positron emission tomography examination in addition to comprehensive evaluation to accurately diagnose neurosarcoidosis.
Difficulties in systemic sclerosis diagnosis on the example of clinical case

Introduction. Systemic sclerosis (SSc) is a rare chronic systemic disease of the connective tissue, presenting with high level of patient-to-patient clinical variability of features. Objectives. The aim of our research was to study a clinical case of the clinical course and difficulties in timely diagnosis of SSc in middle-age female patient. Materials and methods. Patient is a 39-year-old woman unemployed due to disability of 3rd degree. The disease manifested with Raynaud phenomenon in 2008. During 2008-2013 condition of the patient progressively worsened, new symptoms appeared as difficulty in swallowing of solid food, ulcers. In 2013 she was consulted by a surgeon and treated with antibiotics without significant effect. In October 2013 she was admitted to the rheumatology department, where she was eventually diagnosed with SSc, stage II (generalized), subacute course, activity II stage, with damage to the skin (edema, induration), blood vessels (Raynaud syndrome, stage III ischemia), joints (polyarthritis with predominant lesions of the hands, wrists, elbow, knee, feet joints, radiographic changes of II grade, functional impairment I st.), esophagus (esophagitis). The last hospitalization was due to the worsening of the general condition. Patient was treated with methylprednisolone 8 mg, amlodipine 2,5 mg, naftidrofuryl 200 mg tid, aspirin 75 mg, pentoxifylline 600 mg, omeprazole 20 mg. Results. Our study presents the results of different laboratory and instrumental tests conducted in the clinic: full blood count, biochemical panel, serological tests (antibodies), ECG, EchoCG, chest X-ray, upper Gl tract radiography, ultrasound of abdominal organs, kidneys, rheovasography of the vessels of the upper limbs, X-ray of hands. Patient was consulted by gastroenterologist, vascular surgeon and gynecologist. Conclusions. An important task for the practicing physician is the ability to recognize the first signs of systemic sclerosis - “red flags”, which will help to diagnose the disease at early stages, start timely treatment to prevent irreversible pathological changes, early disability and mortality of patients with SSc.
Monetary policy effects on equity returns: application of SVAR identified with high-frequency external instrument

The purpose of this study is to examine the effects of monetary policy on equity returns by applying an alternative econometric approach. Campbell and Ammer (1993) decomposed unexpected equity excess returns into three news components: risk premium news, real interest rate news and cash-flow news. The literature has determined the monetary policy (MP) effects on these news components. The authors propose an alternative MP shock identification approach to analyze the MP effects on the above-mentioned news components under a structural vector autoregression (SVAR) setup. Under this approach, one can apply an MP indicator in the SVAR, which helps forecast equity excess returns along with its external instruments for identification. Further, this study uses the various recently proposed measures of exogenous MP shocks and Fed information shocks as external instruments, and shows the different patterns of the news components' responses depending on the information in the applied instruments.
FairPlay: Detecting and Deterring Online Customer Misbehavior

This study examines how firms can detect and manage customer misbehavior in online brand communities. We first develop a data science approach to detect customer misbehavior on social media and devise intervention strategies to deter it. Our design science approach achieves superior performance, improving detection by 7%–9% compared with traditional methods. We then implement two types of intervention policies based on injunctive (i.e., a punishment policy) and descriptive norms (i.e., a common identity policy) to restrain customer misbehavior. The results of field experiments indicate that punishment considerably reduces customer misbehavior in the short term, but this effect decays over time, whereas common identity has a smaller but more persistent effect on misbehavior reduction. In addition, punishing dysfunctional customers decreases their purchase frequency, whereas imposing a common identity increases it. Our results also show that combining the two policies effectively alleviates the detrimental effect of punishment, especially in the long run.
A study on the geometric effects of a concrete filling body in remaining roadways with fully mechanised caving

To address the problem of the concrete filling body (CFB) force failing to reach test strength in remaining roadways, the weakening effects due to aspect ratio and dimensional parameters on the actual CFB strength were investigated in this study. The geometric effects of CFB (including hoop and size effects) as well as the geometric effect coefficient determination method were analysed. Through laboratory tests and PFC numerical simulations, the hoop and size effect coefficients of the CFB in the Gaohe Coal Mine were studied. Furthermore, the calculation equations of actual strength and bearing capacity of the CFB were derived. Regarding the filling body failure and coal deformation in the remaining roadway located at the No. W1319 working face, the actual bearing capacity of CFB and surrounding rock stability during secondary exploitation were theoretically studied. The investigation suggests the adoption of a grouting reinforcement scheme for surrounding rock. The field applications performed have demonstrated that the deformation control effect in the remaining-roadway surrounding rock was effectively improved during second mining and the filling body beside the roadway suffered no additional damage. Studying the geometric effect of CFB can provide some theoretical guidance and industrial significance to accurately identify the filling body strength and reduce the failure risk of surrounding rock in remaining roadways.
Fault Injection Attacks Utilizing Waveform Pattern Matching against Neural Networks Processing on Microcontroller

SUMMARY Deep learning applications have often been processed in the cloud or on servers. Still, for applications that require privacy protection and real-time processing, the execution environment is moved to edge devices. Edge devices that implement a neural network (NN) are physically accessibletoanattacker. Therefore, physicalattacksarearisk. Faultattacks onthesedevicesarecapableofmisleadingclassiﬁcationresultsandcanleadtoseriousaccidents. Therefore,wefocusonthesoftmaxfunctionandeval-uateafaultattackusingaclockglitchagainstNNimplementedinan8-bit microcontroller. The clock glitch is used for fault injection, and the injection timing is controlled by monitoring the power waveform. The speciﬁc waveform is enrolled in advance, and the glitch timing pulse is generated by the sum of absolute diﬀerence (SAD) matching algorithm. Misclassiﬁca-tion can be achieved by appropriately injecting glitches triggered by pattern detection. We propose a countermeasure against fault injection attacks that utilizes the randomization of power waveforms. The SAD matching is disabled by random number initialization on the summation register of the softmax function.
When Order Meets Disorder: Modeling and Function of the Protein Interface in Fuzzy Complexes

The degree of proteins structural organization ranges from highly structured, compact folding to intrinsic disorder, where each degree of self-organization corresponds to specific functions: well-organized structural motifs in enzymes offer a proper environment for precisely positioned functional groups to participate in catalytic reactions; at the other end of the self-organization spectrum, intrinsically disordered proteins act as binding hubs via the formation of multiple, transient and often non-specific interactions. This review focusses on cases where structurally organized proteins or domains associate with highly disordered protein chains, leading to the formation of interfaces with varying degrees of fuzziness. We present a review of the computational methods developed to provide us with information on such fuzzy interfaces, and how they integrate experimental information. The discussion focusses on two specific cases, microtubules and homologous recombination nucleoprotein filaments, where a network of intrinsically disordered tails exerts regulatory function in recruiting partner macromolecules, proteins or DNA and tuning the atomic level association. Notably, we show how computational approaches such as molecular dynamics simulations can bring new knowledge to help bridging the gap between experimental analysis, that mostly concerns ensemble properties, and the behavior of individual disordered protein chains that contribute to regulation functions.
Performance comparison of estimation-based control schemes for hybrid systems

In this paper, the authors have proposed an estimation-based control scheme. Artificial neural network and unscented Kalman filter are used for state estimation and inverse dynamics controller is implemented that utilizes the estimation of unmeasured state variables. The benchmark example taken for the analysis and implementation is nonlinear autonomous three-tank hybrid system and non-autonomous switched mode non-isothermal continuous stirred tank reactor, which are subjected to state and measurement noise. The performance comparison of both proposed estimation-based control scheme has been carried out and results are presented. Further, the proposed scheme is validated with three-tank hybrid system experimental setup.
The Limited Benefits of Using Virtual Reality 360° Videos to Promote Empathy and Charitable Giving

Charitable organizations have embraced virtual reality (VR); however, scientific evidence supporting its effectiveness for social good often uses poor experimental methodology and finds inconsistent results. We conducted a rigorous randomized control trial testing whether 360° video virtual reality increases empathy and charitable donations. Participants (N = 155) were randomly assigned to one of four conditions: (a) Classic: 360° footage of child refugees, (b) Boost: the same, but with perspective-taking instructions, (c) Audiobook: a control condition with the same information about child refugees but in text format, or (d) Waiting Room: another control condition with a 360° view of a waiting room. Although the Classic and Boost conditions increased emotional empathy compared to controls, they did not improve cognitive empathy more than the audiobook. Moreover, any empathic gains were mostly extinguished after 10 days. Critically, the Classic and Boost conditions did not influence charitable donations to a relevant charity (UNICEF). Therefore, charitable organizations may wish to tentatively reconsider their investment in 360° videos as, although they appear to make people feel empathic in the moment, these feelings do not appear to translate into tangible action.
A New Approach Based on Matching Theory and Simulated Annealing for Parallel Machine Scheduling Problems

As an extension of the classical Parallel Machine Scheduling Problem (PMSP), Unrelated Parallel Machine Scheduling Problem (UPMSP) is a much substantial issue in the modern manufacturing environment. It has been demonstrated to be a NP-hard problem. This research suggests a hybrid algorithm that combines Matching Theory (MT) and Simulated Annealing (SA) for solving an UPMSP with sequence-dependent setup time aimed at minimizing the total completion time. The hybrid algorithm is based on allocation of works to the best machine that can do it, and the determination of the order in which jobs have to be handled on the machines. The hybridization of MT and SA that integrates the features of these two individual parts is the main innovation aspect of the strategy. MT encourages the convergence, while SA promotes the diversity. Therefore, the designed algorithm can balance the intensification and diversification very well. Some tests were conducted using 16 tests for two problems to assess the efficiency of the suggested algorithm. Furthermore, the execution of the suggested algorithm with that of other meta-heuristic methods was contrasted. The outcome revealed that the performance dimensions of the suggested algorithm overrated those of other techniques.
Identification of Robot Joint Torsional Stiffness Based on the Amplitude of the Frequency Response of Asynchronous Data

The difficulty of adding external excitation and the asynchronous data collection from the industrial robot operation limited the online parameter identification of industrial robots. In this regard, this study proposes an identification method that only uses the amplitude of the frequency response function (FRF) of the system to identify robot joint torsional stiffness and dynamic parameters. The error criterion function shows that this method is feasible and comparable to applying the complete frequency response for identification. The Levenberg–Marquardt (L-M) algorithm is used to find the global optimal value of the error criterion function. In addition, an operational excitation method is proposed to excite the system. The speed profile is set as a triangle wave to excite the system using rectangular wave electromagnetic torques. The simulation results show that using the amplitude of the FRF to identify parameters applies to asynchronous data. The experiments on a single-degree-of-freedom articulated arm test bench show that the motion excitation method is effective, and both stiffness and inertia are identifiable.
Escape Room Dual Mode Approach to Teach Maths during the COVID-19 Era

The COVID-19 pandemic and its social implications generate adverse psychological effects that affect success in education where educational methodologies are not ready to overcome the problem. This article presents the design and evaluation of a gamification activity, the Escape Room, applied to the subjects in Pharmacy and Nursing. The objective of using the Escape Room is to reduce the impact that COVID-19 has on students’ academic performance due to the psychological effects and the change in educational modality with which the vast majority of activities are carried out online. The Escape Room presented in this article is based on the search for a scientist who is fleeing with the COVID-19 vaccine around the world and the students have to find it by passing tests and missions related to mathematics. Due to the COVID measures imposed by the university, where double presentiality was imposed, the proposed Escape Room has the peculiarity of being designed in dual format, that is, allowing students to connect in face-to-face mode, online, or a mixture of both, depending on the maximum capacity of the classroom, the number of positive cases in the group, quarantines, etc. As a result, a great impact is shown on the initial perception of students towards mathematics and a null impact of the COVID-19 effect on the academic performance of students.
Child maltreatment Cases Referred to Sohag’s Medico-legal Department, Ministry of Justice: Retrospective and Prospective Medico-legal Evaluation

Child maltreatment is a serious global problem in all socioeconomic groups. This can lead to serious, long-lasting physical and/or psychological damage that extends to adulthood. Aim of work: the present study aims to evaluate different medico-legal aspects of confirmed child maltreatment cases at Sohag’s medico-legal department of the ministry of justice, retrospectively and prospectively with demographic description and comparative analysis between the two parts of the study. Methods: this study included confirmed cases of child maltreatment at Sohag's medico-legal department of the ministry of justice, retrospectively at the year 2011 (the year of 25th Egyptian revolution) data collected from the reported files and prospectively at the year 2017 data collected during the examination or autopsy of the confirmed analysis cases with of the perpetrators’ relationship to the victims. Results: the retrospective part revealed 112 cases (81 living and 31 dead); the male-to-female ratio was 4:1. Physical maltreatment was predominant (46.4%), followed by combined patterns (34.8%) and then sexual abuse (14.3%). The autopsy of the dead cases revealed that hemorrhagic shock was the main cause of deaths (46.7%) followed by brain injury (23.3%). The prospective analysis revealed 91 cases (51 living and 40 dead); the male-to-female ratio was 3:1. Physical abuse was predominant (45.1%), followed by equal percentages of neglect and sexual abuse (25.3%). The autopsy of the dead cases revealed that hemorrhage and asphyxia were the main causes of deaths (47.5% and 37.5%, respectively). Extrafamilial perpetrators (friends, neighbors, drivers, and teachers) were the most reported individuals in retrospective and prospective analyses with no sufficient data that could be collected in approximately onethird of the cases in 2011 and in more than one-fourth of the cases in 2017. Conclusion: forensic examination of child maltreatment cases at the Sohag governorate as one of the upper egypt governorates provided evidence on the magnitude of the problem in upper egypt. The comparison of the medico-legal aspects between the retrospective part in the revolution period and the prospective part of the post revolution period revealed that similar results of most studied aspects with little difference have been observed in the child maltreatment pattern, which might be related to post revolution's social circumstances in egypt.
[Prion].

A proposição de ser o prion uma “proteína infectante” em substituição à hipótese do “vírus lento” – agente causal de certas doenças do sistema nervoso (doença espongiforme bovina, doença de Creutzfeldt-Jacob, entre outras) causou grande polêmica no meio científico, por contrariar dogmas centrais da biologia. Entre a hipótese do prion, formulada por Prusiner em 1982 e a outorga do prêmio Nobel a esse autor, em 1997, ocorreu a epidemia da doença espongiforme bovina no gado do Reino Unido e o aparecimento de uma nova variante da doença de Creutzfeldt-Jacob em humanos, com fortes indícios de haver ligação entre esses dois quadros. Assim, a hipótese do prion trouxe um novo paradigma científico, inicialmente ligado a doenças raras, que ganhou reforço com o aparecimento dessas epidemias. Neste trabalho, discutese o transcorrer desses eventos à luz das considerações de Thomas Kuhn sobre as revoluções científicas. Unitermos: Prion, paradigma científico, história da ciência, doença de Creutzfeldt-Jacob, encefalopatia espongiforme bovina.
INTEGRATED USE OF BEDSIDE LUNG ULTRASOUND AND ECHOCARDIOGRAPHY AS AIDING PREDICTORS IN SUCCESSFUL WEANING PROCESS

Background: We hypothesized that bedside lung ultrasound (LUS) and echocardiography could be a predictor of postextubation distress by detecting a high lung aeration defect immediately before weaning by evidencing significant lung derecruitment during the spontaneous breathing trial (SBT). Objective: To evaluate the effectiveness of Lung Ultrasound (LUS) and Transthoracic Echocardiography (TTE) in predicting successful weaning of mechanically ventilated patients. Patients and Methods: This study was performed on 50 mechanically ventilated patients in general and respiratory ICU during the period from August 2019 to January 2021, at Bab-Al-Sha'reia University Hospital. Lung ultrasound and echocardiography were determined before and at the end of a 60-min spontaneous breathing trial (SBT) and 4 hrs. after extubation. To quantify lung aeration, a lung ultrasound score was calculated. Results: Forty-five patients had SBT success (90%) and 5 patients experienced SBT failure (10%), From those patients with SBT success, there were 16 patients (35.56%) had post extubation distress, and 29 patients (64.44%) had post extubation success. In patients who successfully passed the SBT, a lung ultrasound score ≤10 at the end of the SBT was highly predictive of postextubation success with a statistically significant difference (p value < 0.001). On the other hand, lung ultrasound score ≥18 at the end of the SBT was highly predictive of postextubation distress with a statistically significant difference (p value < 0.001). We found significant differences in E/A ratio 1.08 ± 0.2 in patients with spontaneous breathing trial success, and 1.6 ± 0.1 in patients with SBT failure with a statistical significant (p-value < 0.001). Conclusion: LUS and TTE during spontaneous breathing trial may accurately predict postextubation distress.
A Relabeling Approach to Handling the Class Imbalance Problem for Logistic Regression

Abstract Logistic regression is a standard procedure for real-world classification problems. The challenge of class imbalance arises in two-class classification problems when the minority class is observed much less than the majority class. This characteristic is endemic in many domains. Work by Owen has shown that cluster structure among the minority class may be a specific problem in highly imbalanced logistic regression. In this article, we propose a novel relabeling approach to handle the class imbalance problem when using logistic regression, which essentially assigns new labels to the minority class observations. An expectation–maximization algorithm is formalized to serve as a tool for efficiently computing this relabeling. Modeling on such relabeled data can lead to improved predictive performance. We demonstrate the effectiveness of this approach with detailed experiments on real datasets. Supplemental materials for the article are available online.