Miracle-dz/UniFAR-FTUs huggingface dataset:
Solar Energy Materials & Solar Cells Towards the implementation of atomic layer deposited In 2 O 3 :H in silicon heterojunction solar cells

solar cells. It is particularly challenging to integrate ALD In 2 O 3 :H into SHJ solar cells due to a low reactivity of the metalorganic precursor cyclopentadienyl indium (InCp) with the H-terminated surface of a-Si:H. This challenge has been overcome by a simple and e ﬀ ective plasma-based surface pretreatment developed in this work. A remote inductively coupled O 2 or Ar plasma has been used to modify the surface of a-Si:H, thereby promoting the adsorption of InCp on the surface. The impact of the short plasma exposure on c-Si/a-Si:H interface passivation has also been studied. It has been found that the observed degradation of the interface is not due to ion bombardment, but rather due to ultraviolet emission from the plasma. Fortunately, these light- induced defects have been found to be metastable, and the interface passivation can thus easily be fully recovered by a short post-annealing. Using such a mild Ar plasma pretreatment, ALD In 2 O 3 :H has been successfully implemented in a SHJ solar cell. A short-circuit current density of 40.1 mA/cm 2 , determined from external quantum e ﬃ ciency, is demonstrated for a textured SHJ solar cell with an In 2 O 3 :H window electrode, compared to 38.5 mA/cm 2 for a reference cell that has the conventional Sn-doped indium oxide (In 2 O 3 :Sn, ITO) window electrode. The enhanced photocurrent stems from a reduced parasitic absorption of In 2 O 3 :H in the entire wavelength range of 400 – 1200 nm.
A machine learning–based clinical decision support system to identify prescriptions with a high risk of medication error

Objective: To improve patient safety and clinical outcomes by reducing the risk of prescribing errors, we tested the accuracy of a hybrid clinical decision support system in prioritizing prescription checks. Materials and Methods: Data from electronic health records were collated over a period of 18 months. Inferred scores at a patient level (probability of a patient’s set of active orders to require a pharmacist review) were calculated using a hybrid approach (machine learning and a rule-based expert system). A clinical pharmacist analyzed randomly selected prescription orders over a 2-week period to corroborate our ﬁndings. Predicted scores were compared with the pharmacist’s review using the area under the receiving-operating characteristic curve and area under the precision-recall curve. These metrics were compared with existing tools: computerized alerts generated by a clinical decision support (CDS) system and a literature-based multicriteria query prioritization technique. Data from 10 716 individual patients (133 179 prescription orders) were used to train the algorithm on the basis of 25 features in a development dataset. Results: While the pharmacist analyzed 412 individual patients (3364 prescription orders) in an independent validation dataset, the areas under the receiving-operating characteristic and precision-recall curves of our digital system were 0.81 and 0.75, respectively, thus demonstrating greater accuracy than the CDS system (0.65 and 0.56, respectively) and multicriteria query techniques (0.68 and 0.56, respectively). Discussion: Our innovative digital tool was notably more accurate than existing techniques (CDS system and multicriteria query) at intercepting potential prescription errors. Conclusions: By primarily targeting high-risk patients, this novel hybrid decision support system improved the accuracy and reliability of prescription checks in a hospital setting.
Assessing Female Pharmacy Students’ Satisfaction with Active Learning Techniques at King Saud University

Background: Studies conducted in Saudi Arabia assess student’s perception towards using the flipped classroom or audience response system (ARS) separately, none integrated the two strategies. This study aims to evaluate pharmacy students at King Saud University – college of pharmacy’s perceptions of student engagement and satisfaction with audience response system (ARS), and the flipped classroom techniques. Methods: Two lecture topics were flipped and delivered to female students enrolled in the pharmacy practice lab course at the university. An audience response system was integrated into the flipped classroom. The satisfaction of the students was measured using an online questionnaire. They then rated their satisfaction on a 5-point Likert scale ranging from 1 (strongly disagree) to 5 (strongly agree). Results: Overall, 82.1% of the students stated that the ARS made the class better; 71.64% agreed that taking a course in a flipped classroom was a useful learning experience. Online questionnaire revealed that the ARS fostered students’ thinking skills and peers’ interaction. Many students report that the flipped classroom made them evaluate their learning processes and pace themselves according to their speed, time, and level of interest. Students, however, stated that technical issues and time-consuming tasks were a downside to these teaching strategies. Conclusion: Although the students’ overall response to the use of ARS and flipped classroom techniques was positive; limited class time hindered students from achieving the full benefits reaped from these strategies. Therefore, as per our study's results, modifying the duration of the class to ensure it is not too short to be overwhelming can help instructors utilize these startegies in the best possible manner. Alternatively, a thorough and pre-emptive selection of familiar discussion topics ahead of time would also help in this regard. with group members, followed by 3 minutes of presenting the assigned section to the rest of the class. In the class, the instructor evaluated the students’ understanding by asking MCQs to be answered with ARSs.
Inﬂuence of HAART on HIV-Related CNS Disease and Neuroinﬂammation

Neuroinﬂammation has an established link with AIDS-related dementia but has not been investigated in the post-highly active antiretroviral therapy (HAART) era. In this autopsy study we examined post-HAART cases in Edinburgh for the presence of HIV-related pathology and in well-treated cases for evidence of neuroinﬂammation. We focused on basal ganglia and the hippocampus, 2 key areas of the brain for cognitive functioning and compared pre- and post-HAART cases for neuroinﬂammatory status. We ﬁnd evidence, post-HAART, that there is a high level of microglial/macrophage activation that is comparable with the levels seen, pre-HAART, in HIVencephalitis (HIVE) and AIDS cases. This result was maximal in the hippocampus where microglial/macrophage upregulation in the HAART-treated group exceeded that seen in HIVE. In the basal ganglia, HAART-treated cases showed signiﬁcantly higher levels of CD68-positive microglia/macrophages than in control brains (p = 0.004), and in the hippocampus levels were signiﬁcantly higher than those seen in control cases, pre-HAART AIDS, and presymptomatic brains (p = 0.01). However, lymphocyte levels in the areas examined were low in HAART-treated cases. We conclude that there is a surprising degree of ongoing neuroinﬂammation in HAART-treated patients, particularly in the hippocampus. This may pose a threat for the future health of individuals maintained long-term
Title Simultaneous kernels of matrix Hadamard powers Permalink

In previous work [ Adv. Math. 298:325–368, 2016], the structure of the simultaneous kernels of Hadamard powers of any positive semideﬁnite matrix were described. Key ingredients in the proof included a novel stratiﬁcation of the cone of positive semideﬁnite matrices and a well-known theorem of Hershkowitz, Neumann, and Schneider, which classiﬁes the Hermitian positive semideﬁnite matrices whose entries are 0 or 1 in modulus. In this paper, we show that each of these results extends to a larger class of matrices which we term 3-PMP (principal minor positive).
The electrorheology of suspensions consisting of Na-Fluorohectorite synthetic clay particles in silicon oil

Under application of an electric field greater than a triggering electric field $E_c \sim 0.4$ kV/mm, suspensions obtained by dispersing particles of the synthetic clay fluoro-hectorite in a silicon oil, aggregate into chain- and/or column-like structures parallel to the applied electric field. This micro-structuring results in a transition in the suspensions' rheological behavior, from a Newtonian-like behavior to a shear-thinning rheology with a significant yield stress. This behavior is studied as a function of particle volume fraction and strength of the applied electric field, $E$. The steady shear flow curves are observed to scale onto a master curve with respect to $E$, in a manner similar to what was recently found for suspensions of laponite clay [42]. In the case of Na-fluorohectorite, the corresponding dynamic yield stress is demonstrated to scale with respect to $E$ as a power law with an exponent $\alpha \sim 1.93$, while the static yield stress inferred from constant shear stress tests exhibits a similar behavior with $\alpha \sim 1.58$. The suspensions are also studied in the framework of thixotropic fluids: the bifurcation in the rheology behavior when letting the system flow and evolve under a constant applied shear stress is characterized, and a bifurcation yield stress, estimated as the applied shear stress at which viscosity bifurcation occurs, is measured to scale as $E^\alpha$ with $\alpha \sim 0.5$ to 0.6. All measured yield stresses increase with the particle fraction $\Phi$ of the suspension. For the static yield stress, a scaling law $\Phi^\beta$, with $\beta = 0.54$, is found. The results are found to be reasonably consistent with each other. Their similarities with-, and discrepancies to- results obtained on laponite-oil suspensions are discussed.
Finding Storage- and Compute-Efficient Convolutional Neural Networks

Convolutional neural networks (CNNs) have taken the spotlight in a variety of machine learning applications. To reach the desired performance, CNNs have become increasingly deeper and larger which goes along with a tremendous amount of power and storage requirements. Such increases in computational demands and memory make deep learning prohibitive for resource-constrained hardware platforms such as mobile devices. In order to address this problem, we provide a general framework which renders efficient CNN representations that solve given classification tasks to specified quality levels. More precisely, the framework yields sparse and ternary neural networks, i.e. networks with many parameters set to zero and the non-zero parameters quantized from 32 bit to 2 bit. Ternary networks are not only efficient in terms of storage but also in terms of computational complexity. By explicitly boosting sparsity we reach further efficiency gains. The proposed framework follows a two-step paradigm. First, a baseline model is extended by compound model scaling until a specified target accuracy is reached. Secondly, our Entropy-Constrained Trained Ternarization (EC2T) algorithm is applied which simultaneously quantizes and sparsifies the scaled model. Here, a λ-operator balances the entropy constraint and thus the compression gain of the resulting network. We validated the effectiveness of EC2T in a variety of experiments. This includes CIFAR-10, CIFAR-100 and ImageNet classification tasks and the compression of renowned architectures (i.e., ResNets and EfficientNet) as well as our own compound-scaled models. We show the advantages of EC2T compared to the standard in ternary quantization, Trained Ternary Quantization (TTQ), and set new benchmarks in this research area. For instance, EC2T compresses ResNet-20 by more than 24× and reduces the number of arithmetical operations by more than 12× while causing a minimal accuracy degradation of 0.9%.
MINI-REVIEW Colorectal Cancer in the Arab World - Screening Practices and Future Prospects

Colorectal cancer (CRC) incidence and mortality rates have dropped 30% in the US in the last 10 years among adults ages 50 and older due to the widespread uptake of colonoscopy, yet incidences in the Arab countries have been increasing in the past ten years, albeit with lower figures when compared with developed countries. Lifestyle changes, food consumption patterns and obesity have been observed during the past years where the regular consumption of traditional foods is being replaced with more Western-style and ready-made foods. Most high income countries have implemented population based colorectal cancer screening programs, which aid in decreasing the incidence and mortality of cancer, while these are lacking in most of the Arab world countries due to many cultural and religious barriers to CRC screening as well as lack of high education or familiarity. What is needed is health education to modify risky lifestyle, and to increase motives and enhance positive attitudes towards early screening especially amongst high risk groups in addition to policy designed to encourage healthier living.
Observation of granulations in the basal body of ovarioles and follicular dilatations for the determination of physiological age of Anopheles gambiae s.s.

Objective: To explore ovariole basal body granulations and follicular dilatations for determining physiological age in Anopheles gambiae s.s. ( An. gambiae s.s.). Methods: Mosquitoes were collected by using window trap catch and identified morphologically. For the first lot of mosquitoes, they were dissected, and ovary was left in distilled water for reading ovarian tracheoles and the second was cut and transferred to another blade in a physiological liquid for verification of ovariole basal body granulations. The same approach was followed with the second lot of mosquitoes where follicular dilatations were found after classic dilaceration of ovaries were transferred into physiological liquid. The other body parts of mosquitoes were used to identify the species of the An. gambiae s.s. complex by PCR . Results: Among the 123 An. gambiae s.s. of the first lot, the method of Detinova determined the age of 89 mosquitoes versus 114 for the observation of granulations ( P > 0.05). Among the 112 An. gambiae s.s. of the second lot, the method of Detinova determined the age of 84 mosquitoes versus 93 for the observation of follicular dilatations ( P > 0.05). Unlike the method of Detinova, observation of follicular dilatations and basal body granulations of ovarioles were possible beyond the stage II Christophers. Conclusions: Overall, the observation of follicular dilatations and ovariole basal body granulations are reliable for the determination of the physiological age in An. gambiae s.s. these two methods can be used beyond the stage II.
EFFECT OF SERVICE QUALITY AND SATISFACTION ON LOYALTY THROUGH MEDIATION OF ZONE OF TOLERANCE

The aim of the current research is to examine and analyze the effect of service quality and satisfaction on loyalty with the mediation of zone of tolerance. In the research, zone of tolerance refers to an area between desired service and adequate service and plays a role as mediator in the effect of service quality and satisfaction on loyalty. The data collection method used questionnaire with a sample of 409 respondents from five management departments at five private universities in the LLDIKTI Region III Jakarta. Data were analyzed using Partial Least Square-Structural Equation Modeling supported by Warp PLS 7.0. Result of research shows that service quality and satisfaction have positive and significant effect on loyalty. Service quality, however, was not mediated by zone of tolerance because the function of zone of tolerance in the relationship of satisfaction and loyalty was found to be low if the attractiveness of alternative options is proved to be high. The effect of satisfaction on loyalty was mediated by zone of tolerance and the effect of zone of tolerance on loyalty was positive. The finding confirms that there is significant difference between respondents whom have narrow and wide zone of tolerance. The research has theoretical and practical implication.
Evaluation of the Effect of Different Root Canal Obturation Materials on the Fracture Resistance of Endodontically Treated Roots

Objectives: The purpose of this study was to compare fracture resistance of endodontically treated teeth using different root canal filling sealers and techniques. Materials and Methods: One hundred and twenty mandibular premolar teeth were selected and decoronated, then randomly divided into 8 groups (n=15). Except one group (negaive control), samples in the other groups were instrumented using Protaper nickel-titanium (Ni-Ti) rotary system. One group was saved as positive control and then remainingsix exprimental groups were filled as follows: Group 1: AH Plus / matched-taper single-cone technique (MSCT), Group 2: AH Plus / coated carrier system (Thermafil), Group 3: iRoot SP / MSCT, Group 4: iRoot SP / Thermafil, Group 5: MetaSEAL / MSCT and Group 6: MetaSEAL / Thermafil. All specimens were stored at 37°C and 100% humidity for 2 weeks. Vertical loading was carried out using a universal testing machine. For each root, the force at the time of fracture was recorded in Newtons (N). The statistical analysis was performed by using Kruskal-Wallis and multiple comparison tests. Results: The highest and lowest fracture values were observed in negative and positive control groups, respectively. The highest and lowest fracture values of experimental groups were observed in iRoot SP / Thermafil and AH Plus / MSCT groups, respectively. There were no significant differences among the negative and Thermafil Obturator groups. Conclusion: Within the limitations of this study, using of coated carrier obturation system conjunction with a calcium silicate-based sealer increased the fracture resistance of instrumented roots.
AN OVERVIEW OF THE LOWER CRETACEOUS DINOSAUR TRACKSITES FROM THE MIRAMBEL FORMATION IN THE IBERIAN RANGE (NE SPAIN)

— Up to now, the ichnological vertebrate record from the Barremian Mirambel Formation (NE Spain) has remained completely unknown despite the fact that osteological findings have been reported in recent years. Here we provide an overview of 11 new dinosaur tracksites found during a fieldwork campaign in the year 2011. The majority of these tracksites (seven) preserve small- to medium-sized tridactyl tracks here assigned to indeterminate theropods. Only one footprint presents enough characters to classify it as Megalosauripus isp. Ornithopod tracks identified as Caririchnium isp. and Iguanodontipodidae indet. and sauropod tracks are recorded at two tracksites. The footprints are preserved in a variety of paleoenvironmental conditions and thus display different kinds of preservation (true tracks, shallow undertracks, natural casts and undertrack casts). The ichnological record from the Mirambel Formation seems to be theropod dominated. This is a clear discrepancy with the osteological record identified in this formation, which shows a predominance of ornithopod dinosaurs.
SHORT REPORT Strongyloides stercoralis seroprevalence in Vietnam

Strongyloidiasis is a neglected tropical disease caused by the roundworm Strongyloides stercoralis affecting 30 – 100 million people worldwide. Many Southeast-Asian countries report a high prevalence of S. stercoralis infection, but there are little data from Vietnam. Here, we evaluated the seroprevalence of S. stercoralis related to geography, sex and age in Vietnam through serological testing of anonymized sera. Sera ( n = 1710, 1340 adults and 270 children) from an anonymized age-strati ﬁ ed serum bank from four regions in Vietnam between 2012 and 2013 were tested using a commercial Strongyloides ratti immunoglobulin G ELISA. Seroreactivity was found in 29·1% (390/1340) of adults and 5·5% (15/270) of children. Male adults were more frequently seroreactive than females (33·3% vs. 24·9%, P = 0·001). The rural central highlands had the highest seroprevalence (42·4% of adults). Seroreactivity in the other regions was 29·9% (Hue) and 26·0% and 18·2% in the large urban centres of Hanoi and Ho Chi Minh City, respectively. We conclude that seroprevalence of S. stercoralis was high in the Vietnamese adult population, especially in rural areas.
Validation of the Malay Version of Hospital Anxiety and Depression Scale (HADS) in Hospital Universiti Sains Malaysia

ABSTRACI Objective: To validate the translated Malay version of the HADS and determine the optimal cutoff point and respective sensitivity and specificity. Design: Cross sectional study. Muteriuls and Methods: Sixty cases and 60 controls were assessed using the Malay version of HADS followed by interviewed using Hamilton Rating Scale for Anxiety (HDRS), Hamilton Rating Scale for Depression (HARS) and then reassessed by using the fourth edition of Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) to establish the diagnosis. Results: The best cutoff point was 8/9. Sensitivity 90.07o and specificity 86.2oh for anxiety and sensitivity 93.2"h and specificity 90.8"/o for depression was detected Conclusion: Malay version of HADS showed a good sensitivity and specificity and therefore is valid instrument for use in a Malaysia population.
An Overview of Arithmetic Adaptations for Inference of Convolutional Neural Networks on Re-configurable Hardware

—Convolutional Neural Networks (CNNs) have gained high popularity as a tool for computer vision tasks and for that reason are used in various applications. There are many different concepts, like single shot detectors, that have been published for detecting objects in images or video streams. However, CNNs suffer from disadvantages regarding the deployment on embedded platforms such as re-configurable hardware like Field Programmable Gate Arrays (FPGAs). Due to the high computational intensity, memory requirements and arithmetic conditions, a variety of strategies for running CNNs on FPGAs have been developed. The following methods showcase our best practice approaches for a TinyYOLOv3 detector network on a XILINX Artix-7 FPGA using techniques like fusion of batch normalization, filter pruning and post training network quantization.
Innovative Mobility Concepts for the Future of Transport: Organizational Strategy and Consumer Behavior

This dissertation presents three essays on the future of transport analyzing organizational strategy and customer behavior. The qualitative approach provides a critical organizational viewpoint and an understanding of how to cope with challenges arising from transformational change. The quantitative approach is an in-depth analysis of customers’ technology acceptance, examining how shifting preferences affect purchase and usage intentions regarding self-driving cars. Overall, this thesis contributes by analyzing multiple actors involved in a socio-technical transition, as well as their influence on the emergence and acceptance of innovative technologies. Die vorliegende Dissertation umfasst drei Aufsätze, die die Zukunft der Mobilität von einer unternehmerischen als auch einer Kundenperspektive analysieren. Der qualitative Forschungsansatz umfasst einen kritischen unternehmerischen Blick auf die sich wandelnde Mobilität und liefert ein Verständnis für die Bewältigung der sich daraus ergebenden Herausforderungen. Die quantitative Erhebung und Analyse der Technologieakzeptanz in Bezug auf die Kaufund Nutzungsintention selbstfahrender Fahrzeuge liefert neue Erkenntnisse bezüglich sich wandelnder Kundenpräferenzen. Die Dissertation leistet somit einen wichtigen Beitrag in der Analyse unterschiedlichster Akteure der sozio-technischen Transformation sowie deren Einfluss auf die Entwicklung und Akzeptanz innovativer Technologien.