Miracle-dz/UniFAR-FTUs huggingface dataset:
Rigorous Scattering Matrix Analysis of a Fabry–Perot Open Resonator

A completely novel electromagnetic model of a Fabry–Perot open resonator is proposed and validated in this article. The idea that led to the invention of this model is to split the analysis of the resonator into a few nonresonant sections, thus, substantially alleviating computational effort involved in the analysis of such a large high- $Q$ structure. Each section of the resonator, including mirrors, is represented as a multimode scattering matrix and the whole resonator is considered as a cascade of two-port networks. Mode analysis applied in the proposed model allows representing fields propagating along the resonator in the form of an orthogonal set of cylindrical waveguide modes. Due to versatility and large computational efficiency, the method can be used to account for electromagnetic phenomena that cannot be solved with commonly used models of the Fabry–Perot open resonator based on a scalar paraxial approximation. The obtained solution is validated against experimental data. It is also shown that the spurious mode coupling occurring in the measurement of electrically thick dielectric sheet materials can be explained using the proposed scattering matrix method.
Atypical Presentation of Multiple Myeloma in a 26 Years-Old Young Male with Acute Renal Impairment

Multiple myeloma is characterized by a malignant proliferation of bone marrow plasma cells leading to the production of monoclonal paraproteins in the blood and urine. This pathology occurs more often in men with an average of 65 years old and very rarely in younger patients. We present here a case of a 26 years-old male diagnosed with multiple myeloma. He presented with acute renal impairment (DRA) as the first sign of multiple myeloma. Laboratory data showed the presence of monoclonal proliferation of immunoglobulins with increased serum level of light chains and 34% presence of plasma cells in myelograms. Renal biopsy confirmed the diagnosis of acute renal injury from light chain deposition. The patient started treatment with chemotherapy and immunosuppression that was accompanied by clinical improvement and stabilization of renal function. By presenting this clinical case, we want to show that multiple myeloma can be the cause of acute alteration of renal function in a very young patient.
Students' emotional analysis on ideological and political teaching classes based on artificial intelligence and data mining

Ideological and political teaching emotion is an important reflection of students’ learning achievements. At present, the effect of emotion analysis of ideological and political students is poor. This article builds on the artificial intelligence technology and combines machine learning data mining ideas to construct a student emotion analysis model in the ideological and political classroom. Starting from the individual, based on the individual’s own emotions and external stimuli, this article carries out emotion transfer probability statistics on the dialogues with emotions marked, and obtains the individual’s emotion transfer matrix. After the corresponding model is constructed, it can be applied to practice, and the research is conducted from the aspects of systematic emotion analysis effect and teaching promotion effect. In addition, this study designs a controlled experiment to analyze the effects of the model. The research results show that the model constructed in this paper has good performance.
Classification of plant communities and fuzzy diversity of vegetation systems

After stressing the need to keep separated the concept of variability and/or inequality and dissimilarity from that of diversity, it is suggested that diversity of a system should be measured primarily by the number of different classes (K) we can define in it (richness) by classification or identification processes. An index d, ranging between 0 and 1, that summarizes the similarity pattern within the system, can be used if necessary to transform K to a “fuzzy” diversity number, according to the idea that the higher is the similarity within the system the lower should be its diversity. Another index, r, is proposed to measure the “loss” of diversity due to similarity within the system, an index that fits the concept of “redundancy”. Since every diversity vector may be interpreted as a crisp symmetric similarity matrix, of which the Gini-Simpson’s index is the average dissimilarity, while the index of Shannon is the entropy of its eigenvalues, the index d can be chosen to quantify one among the following similarities: a) the overall average similarity of the classes considering the within classes similarity equal to 1 and the between classes similarity equal to 0 (crisp similarity pattern): this is coincident with the evenness of the proportion of importance of the classes, b) the average similarity between the classes without considering evenness, or c) the combination of the two similarities (similarity between the classes and evenness). In these last two cases, the similarity between the classes is characterizing the similarity pattern of a system in a fuzzy way (fuzzy diversity). It is stressed that the diversity of vegetation systems may be of two complementary types: plant individual-based diversity and plant community-based diversity. If we assume that each plant community type corresponds to one habitat then habitat diversity (or niche width) can be calculated for each class of plant individuals according to the number of classes of plant communities in which we can find it. Habitat diversity can be used to measure the indicator value of species or other classes of plant individuals and of plant communities. In this last case, we have to consider the distribution of plant communities in classes defined by environmental factors. It is suggested that the terminology alpha, beta, gamma diversity can be useful only if used to distinguish types of diversity in vegetation systems: alpha diversity = plant individual based diversity, gamma diversity = the union of alpha diversities, beta diversity = plant community based diversity. Thanks to the availability of mathematical tools, it is concluded that rather than being worried about measuring diversity it would be more fruitful to worry about why we are willing to measure it.
Performance Evaluation of Different Grade IMUs for Diagnosis Applications in Land Vehicular Multi-Sensor Architectures

Vehicular positioning systems are necessary for the development of autonomous vehicles and advanced driver assistance systems (ADAS). In recent years, Inertial Measurement Units (IMU) based on micro-electromechanical systems (MEMS) have been included in proposals for multi-sensor positioning system architectures in order to take advantage of their cost and size. The measurement errors propagation to the positioning solution have limited its application for long-term positioning solution. However, it can play a key role in those applications where tri-axial attitude and accelerations can be indicators of curves, slopes, cants, etc. and it can be used as diagnostic of other sensors measurements. This work is focused on the use of IMUs for diagnostic applications and it compares medium-end (xSens MTi-100) and low-end (Bosch BMI160) grade MEMS-based IMUs in an experimental road test using a fusion of a high-end IMU (KVH GEO-FOG), GNSS and wheel speed sensor as reference. In addition, a research question about whether the calibration is the main reason between different grade IMUs has been formulated. Thus, a simple, manufacturable and cost-efficient calibration technique is applied to the low-end IMU in order to compare its performance improvement with the medium-end one. The raw measurements (angular rates and specific forces) and navigation states (tri-axial attitude and accelerations) are considered for diagnosis and they are statistically compared to evaluate the performance of each IMU. It is concluded that the calibration technique used makes the low-end IMU performance similar to that of the medium-end one. Consequently, this work contributes to optimizing the cost of land vehicular positioning systems when choosing the most appropriate sensor based on the accuracy and precision required for the application.
Enabling a Battery-Less Sensor Node Using Dedicated Radio Frequency Energy Harvesting for Complete Off-Grid Applications

The large-scale deployment of sensor nodes in difficult-to-reach locations makes powering of sensor nodes via batteries impractical. Besides, battery-powered WSNs require the periodic replacement of batteries. Wireless, battery-less sensor nodes represent a less maintenance-intensive, more environmentally friendly and compact alternative to battery powered sensor nodes. Moreover, such nodes are powered through wireless energy harvesting. In this research, we propose a novel battery-less wireless sensor node which is powered by a dedicated 4 W EIRP 920 MHz radio frequency (RF) energy device. The system is designed to provide complete off-grid Internet of Things (IoT) applications. To this end we have designed a power base station which derives its power from solar PV panels to radiate the RF energy used to power the sensor node. We use a PIC32MX220F32 microcontroller to implement a CC-CV battery charging algorithm to control the step-down DC-DC converter which charges lithium-ion batteries that power the RF transmitter and amplifier, respectively. A 12 element Yagi antenna was designed and optimized using the FEKO electromagnetic software. We design a step-up converter to step the voltage output from a single stage fully cross-coupled RF-DC converter circuit up to 3.3 V. Finally, we use the power requirements of the sensor node to size the storage capacity of the capacitor of the energy harvesting circuit. The results obtained from the experiments performed showed that enough RF energy was harvested over a distance of 15 m to allow the sensor node complete one sense-transmit operation for a duration of 156 min. The Yagi antenna achieved a gain of 12.62 dBi and a return loss of −14.11 dB at 920 MHz, while the battery was correctly charged according to the CC-CV algorithm through the control of the DC-DC converter.
Structure of Bacterial Communities in Phosphorus-Enriched Rhizosphere Soils

Although phytoremediation is the main method for P-removal and maintaining ecosystem balance in geological phosphorus-enriched soils (PES), little is known about the structure and function of microbial communities in PES. Interactions between plants and soil microorganisms mainly occur in the rhizosphere. The aim of this work was to investigate the composition and diversity of bacterial communities found in rhizosphere soils associated with the following three dominant plant species: Erianthus rufipilus, Coriaria nepalensis, and Pinus yunnanensis. In addition, we compared these rhizosphere bacterial communities with those derived from bulk soils and grassland plots in PES from the Dianchi Lake basin of southwestern China. The Illumina MiSeq platform for high-throughput sequencing of 16S rRNA was used for the taxonomy and the analysis of soil bacterial communities. The results showed higher bacterial diversity and nutrient content in rhizosphere soils as compared with bulk soils. Rhizosphere bacteria were predominantly comprised of Proteobacteria (24.43%) and Acidobacteria (21.09%), followed by Verrucomicrobia (19.48%) and Planctomycetes (9.20%). A comparison of rhizosphere soils of the selected plant species in our study and the grassland plots showed that Acidobacteria were the most abundant in the rhizosphere soil of E. rufipilus; Bradyrhizobiaceae and Rhizobiaceae in the order Rhizobiales from C. nepalensis were found to have the greatest abundance; and Verrucomicrobia and Planctomycetes were in higher abundance in P. yunnanensis rhizosphere soils and in grassland plots. A redundancy analysis revealed that bacterial abundance and diversity were mainly influenced by soil water content, soil organic matter, and total nitrogen.
Identification of rare-disease genes in diverse undiagnosed cases using whole blood transcriptome sequencing and large control cohorts

RNA sequencing (RNA-seq) is a complementary approach for Mendelian disease diagnosis for patients in whom exome-sequencing is not informative. For both rare neuromuscular and mitochondrial disorders, its application has improved diagnostic rates. However, the generalizability of this approach to diverse Mendelian diseases has yet to be evaluated. We sequenced whole blood RNA from 56 cases with undiagnosed rare diseases spanning 11 diverse disease categories to evaluate the general application of RNA-seq to Mendelian disease diagnosis. We developed a robust approach to compare rare disease cases to existing large sets of RNA-seq controls (N=1,594 external and N=31 family-based controls) and demonstrated the substantial impacts of gene and variant filtering strategies on disease gene identification when combined with RNA-seq. Across our cohort, we observed that RNA-seq yields a 8.5% diagnostic rate. These diagnoses included diseases where blood would not intuitively reflect evidence of disease. We identified RARS2 as an under-expression outlier containing compound heterozygous pathogenic variants for an individual exhibiting profound global developmental delay, seizures, microcephaly, hypotonia, and progressive scoliosis. We also identified a new splicing junction in KCTD7 for an individual with global developmental delay, loss of milestones, tremors and seizures. Our study provides a broad evaluation of blood RNA-seq for the diagnosis of rare disease.
Big data analytics in bioinformatics

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Impact of a Social Support Program Supervised by a Multidisciplinary Team on Psychosocial Distress and Knowledge About Heart Failure Among Heart Failure Patients

Background Heart failure drains significant financial resources with morbidity and mortality higher than cancer. Social support is defined as the care provided by the family members, friends and health care workers to the patients. Absence of social support and poor perceived social support will create stress, anxiety, depression and anger which further deteriorate the underlying disease and worsen quality of life. Discussion in group creates better understanding of the disease which helps the patients improving their skills in managing their condition. Objective To evaluate the impact of multidisciplinary team supervised social support program on components of psychosocial distress and knowledge about heart failure among heart failure patients. Methods Adult patients with heart failure attending King Fahad Medical City as inpatient or outpatient were enrolled in this prospective cohort study. Patients were given questionnaire to assess their perception of social support they have at their disposal, quality of life, knowledge regarding heart failure and self-care behavior. They then had interactive education in groups supervised by multidisciplinary team members about the pathogenesis of their disease with management strategies, dietary restriction, importance of exercise and healthy life style pattern. Patients shared their experiences in the group and had opportunity to learn from each other. Patients were assessed regarding their perceived social support, quality of life, knowledge regarding heart failure and self-care behavior immediately after the session and at 1 month interval. Results There were total 500 patients participated in the study. Among the study participants 62% were male and majority was living with the family. Components of psychosocial distress were present in up to 40% of study participants and only 36% considered knowledgeable regarding heart failure. After the interactive social support group meeting components of psychosocial distress were significantly reduced with significant improvement in knowledge about heart failure. At 1 month follow up participants reported persistent improvement in quality of life, improvement in self-care behavior, perceived social support and wanted to continue in social group program. Conclusion Social support program supervised by multidisciplinary team providing education and social support improved knowledge, self-care behavior, perceived social support and quality of life among heart failure patients.
Does Greater Transparency Discipline the Loan Loss Provisioning of Privately Held Banks?

We investigate the relationship between the transparency of loan loss provision disclosures and the provisioning practices of privately held banks. We study a unique change in disclosure regulation under German banking law which introduces mandatory disclosures of loan loss provisions. Using proprietary data provided by the national supervisor, we are able to observe provisioning practices before and after disclosure becomes mandatory. Our findings suggest that bank managers use loan loss provisions to a lesser extent for income smoothing once they are required to disclose their accounting choice. At the same time, provisions become more informative about future loan losses. The change comes in the absence of capital market pressure and highlights the role of depositors and public pressure in the monitoring of bank managers. We exploit cross-sectional variation and show that the change is associated with differences in the local information environment and banks' funding structure.
Prognostic and diagnostic values of acute phase proteins (APPs) and ultrasonography in experimentally induced bacterial cystitis in dogs.

The aim of the study is the further use of ultrasound and acute phase proteins in diagnosis of bacterial cystitis in dogs. The present research was performed on 15 dogs apparently healthy, their weight were ranged from 20±0.5 Kg BW. Divided into 2 groups, Group (1): contained 10 dogs subjected to experimentally induce bacterial cystitis by pathogenic strains of Staphylococcus aureus and Group (2): contained 5 dogs act as control group. The diseased dogs showed inappetance, abdominal pain, pollakiuria, stranguria, arched back, lethargy and depression, compared to the control group which was were very active, in good physical condition and had normal appetite. The biochemical alteration included no significant change in kidney functions as serum creatinine, BUN and uric acid. Significant increase in serum haptoglobin, SAA from the 3rd day after induction till the end of experiment. There is significant decrease in serum total protein and albumin from the 3rd day till the end of experiment, compared to the control group. Urine analysis illustrated alkaline pH, negative glycosuria, and proteinuria, compared to the control group. Ultrasound imaging showed increase of bladder wall echo-genicity, decrease in circumscribed anechoic area represented the urine which appear hyperechoic and contain suspended material which represents cellular debris, irregular bladder mucosa these changes at the 3rd day till the 15th day, compared to the control group. Macroscopic findings of dogs' urinary bladder showed diffuse thickening of the bladder wall and haemorrhage of dogs with induced bacterial cystitis. Microscopically, urinary bladder showed destruction and desquamation of transitional epithelium in the lumen of the urinary bladder. The lamina propria and submucosa showed haemorrhages and congested blood vessels.
Optimized EPS Control to Achieve Full Load Range ZVS With Seamless Transition for Dual Active Bridge Converters

Dual active bridge (DAB) converters are widely studied for applications requiring isolation, bidirectional power flow and high efficiency. To solve the problem of limited zero voltage switching (ZVS) range and achieve seamless transition for extended-phase-shift (EPS) control, the magnetizing current is utilized and an optimized control law is proposed in this article. With the injection of magnetizing current, the two ZVS regions under EPS control will be creatively intersected with a large region, instead of disconnected or just intersected at a particular point as in previous studies. The ZVS model considering switch junction capacitors, ZVS region analysis with magnetizing current injection and power transfer characteristics are analyzed. Based on these analyses, the optimized EPS control is proposed to achieve full load range ZVS, low root-mean-square current and maximum transmission power capability. A 250 kHz, 500 W GaN-based DAB prototype is built to verify the effectiveness of the proposed solution.
Etude acoustique de la production de glides dans la maladie de Parkinson

Dans cet article, les résultats d’une étude acoustique sur la production de glides par des locuteurs atteints de la maladie de Parkinson et des locuteurs témoins sont présentés. Notre objectif est d’explorer la dynamique des articulateurs supralaryngés dans la MP, en particulier chez des locuteurs MP non dysarthriques. Nos résultats montrent des différences entre les deux groupes de sujets (locuteurs MP et témoins), en particulier en ce qui concerne l’amplitude des mouvements et la localisation dans le plan F1-F2. Nous notons également que ces différences se produisent en l’absence de dysarthrie, suggérant l’identification de phénomènes infracliniques dans la maladie de Parkinson.
Analysis of Throwing Performance in Elite Women’s Beach Handball

The objective of this study was to ascertain the differences in throwing performance between winning and losing elite female beach handball teams. An observational methodology was used, and an ad hoc instrument was created for data collection. The sample consisted of 2,160 throws in 38 matches of the Women's Senior Beach Handball World Championships in Kazan in 2018. The results showed significant differences in the number of goals, goalkeeper saves and blocking between winners and losers (p<0.01). Spectacular throws were more numerous than simple throws. The spin shot was the resource most utilised by both winners and losers, although there were significant performance differences in favour of the winners (p<0.01). The winning teams executed a greater number of in-flight shots (p<0.01), more effectively and scoring a greater number of points (p<0.01) with this type of shot. Keyword: notational analysis, spectacular throws, performance Editor: © Generalitat de Catalunya Departament de la Presidència Institut Nacional d’Educació Física de Catalunya (INEFC)